id	sid	tid	token	lemma	pos
fcis-20342	1	1	frontiers	frontier	NOUN
fcis-20342	1	2	in	in	ADP
fcis-20342	1	3	computing	computing	NOUN
fcis-20342	1	4	and	and	CCONJ
fcis-20342	1	5	intelligent	intelligent	ADJ
fcis-20342	1	6	systems	system	NOUN
fcis-20342	1	7	issn	issn	VERB
fcis-20342	1	8	:	:	PUNCT
fcis-20342	1	9	2832	2832	NUM
fcis-20342	1	10	-	-	SYM
fcis-20342	1	11	6024	6024	NUM
fcis-20342	1	12	|	|	NOUN
fcis-20342	1	13	vol	vol	NOUN
fcis-20342	1	14	.	.	PROPN
fcis-20342	2	1	8	8	NUM
fcis-20342	2	2	,	,	PUNCT
fcis-20342	2	3	no	no	INTJ
fcis-20342	2	4	.	.	NOUN
fcis-20342	2	5	1	1	NUM
fcis-20342	2	6	,	,	PUNCT
fcis-20342	2	7	2024	2024	NUM
fcis-20342	2	8	22	22	NUM
fcis-20342	2	9	improved	improve	VERB
fcis-20342	2	10	multi‐attention	multi‐attention	NOUN
fcis-20342	2	11	neural	neural	ADJ
fcis-20342	2	12	networks	network	NOUN
fcis-20342	2	13	for	for	ADP
fcis-20342	2	14	image	image	NOUN
fcis-20342	2	15	emotion	emotion	NOUN
fcis-20342	2	16	regression	regression	NOUN
fcis-20342	2	17	and	and	CCONJ
fcis-20342	2	18	the	the	DET
fcis-20342	2	19	initial	initial	ADJ
fcis-20342	2	20	introduction	introduction	NOUN
fcis-20342	2	21	of	of	ADP
fcis-20342	2	22	caps	cap	NOUN
fcis-20342	2	23	rending	rend	VERB
fcis-20342	2	24	wang	wang	PROPN
fcis-20342	2	25	a	a	PRON
fcis-20342	2	26	,	,	PUNCT
fcis-20342	2	27	dongmei	dongmei	NOUN
fcis-20342	2	28	ma	ma	PROPN
fcis-20342	2	29	*	*	PROPN
fcis-20342	2	30	school	school	PROPN
fcis-20342	2	31	of	of	ADP
fcis-20342	2	32	physics	physics	PROPN
fcis-20342	2	33	&	&	CCONJ
fcis-20342	2	34	electronic	electronic	ADJ
fcis-20342	2	35	engineering	engineering	NOUN
fcis-20342	2	36	,	,	PUNCT
fcis-20342	2	37	northwest	northwest	PROPN
fcis-20342	2	38	normal	normal	ADJ
fcis-20342	2	39	university	university	NOUN
fcis-20342	2	40	,	,	PUNCT
fcis-20342	2	41	lanzhou	lanzhou	PROPN
fcis-20342	2	42	gansu	gansu	PROPN
fcis-20342	2	43	,	,	PUNCT
fcis-20342	2	44	730070	730070	NUM
fcis-20342	2	45	,	,	PUNCT
fcis-20342	2	46	china	china	PROPN
fcis-20342	2	47	*	*	PUNCT
fcis-20342	2	48	corresponding	correspond	VERB
fcis-20342	2	49	author	author	NOUN
fcis-20342	2	50	:	:	PUNCT
fcis-20342	2	51	dongmei	dongmei	PROPN
fcis-20342	2	52	ma	ma	PROPN
fcis-20342	2	53	(	(	PUNCT
fcis-20342	2	54	email	email	NOUN
fcis-20342	2	55	:	:	PUNCT
fcis-20342	2	56	madongmei@nwnu.edu.cn	madongmei@nwnu.edu.cn	NOUN
fcis-20342	2	57	)	)	PUNCT
fcis-20342	2	58	,	,	PUNCT
fcis-20342	2	59	a	a	DET
fcis-20342	2	60	819641724@qq.com	819641724@qq.com	NUM
fcis-20342	2	61	abstract	abstract	NOUN
fcis-20342	2	62	:	:	PUNCT
fcis-20342	2	63	image	image	NOUN
fcis-20342	2	64	sentiment	sentiment	NOUN
fcis-20342	2	65	analysis	analysis	NOUN
fcis-20342	2	66	is	be	AUX
fcis-20342	2	67	a	a	DET
fcis-20342	2	68	large	large	ADJ
fcis-20342	2	69	class	class	NOUN
fcis-20342	2	70	of	of	ADP
fcis-20342	2	71	tasks	task	NOUN
fcis-20342	2	72	for	for	ADP
fcis-20342	2	73	classifying	classify	VERB
fcis-20342	2	74	or	or	CCONJ
fcis-20342	2	75	regressing	regress	VERB
fcis-20342	2	76	images	image	NOUN
fcis-20342	2	77	containing	contain	VERB
fcis-20342	2	78	emotional	emotional	ADJ
fcis-20342	2	79	stimuli	stimulus	NOUN
fcis-20342	2	80	,	,	PUNCT
fcis-20342	2	81	and	and	CCONJ
fcis-20342	2	82	it	it	PRON
fcis-20342	2	83	is	be	AUX
fcis-20342	2	84	believed	believe	VERB
fcis-20342	2	85	in	in	ADP
fcis-20342	2	86	psychological	psychological	ADJ
fcis-20342	2	87	research	research	NOUN
fcis-20342	2	88	that	that	SCONJ
fcis-20342	2	89	different	different	ADJ
fcis-20342	2	90	groups	group	NOUN
fcis-20342	2	91	produce	produce	VERB
fcis-20342	2	92	different	different	ADJ
fcis-20342	2	93	emotions	emotion	NOUN
fcis-20342	2	94	for	for	ADP
fcis-20342	2	95	the	the	DET
fcis-20342	2	96	same	same	ADJ
fcis-20342	2	97	stimuli	stimulus	NOUN
fcis-20342	2	98	.	.	PUNCT
fcis-20342	3	1	in	in	ADP
fcis-20342	3	2	order	order	NOUN
fcis-20342	3	3	to	to	PART
fcis-20342	3	4	study	study	VERB
fcis-20342	3	5	the	the	DET
fcis-20342	3	6	influence	influence	NOUN
fcis-20342	3	7	of	of	ADP
fcis-20342	3	8	cultural	cultural	ADJ
fcis-20342	3	9	background	background	NOUN
fcis-20342	3	10	on	on	ADP
fcis-20342	3	11	image	image	NOUN
fcis-20342	3	12	sentiment	sentiment	NOUN
fcis-20342	3	13	analysis	analysis	NOUN
fcis-20342	3	14	,	,	PUNCT
fcis-20342	3	15	it	it	PRON
fcis-20342	3	16	is	be	AUX
fcis-20342	3	17	necessary	necessary	ADJ
fcis-20342	3	18	to	to	PART
fcis-20342	3	19	introduce	introduce	VERB
fcis-20342	3	20	a	a	DET
fcis-20342	3	21	dataset	dataset	NOUN
fcis-20342	3	22	of	of	ADP
fcis-20342	3	23	image	image	NOUN
fcis-20342	3	24	sentiment	sentiment	NOUN
fcis-20342	3	25	stimuli	stimuli	VERB
fcis-20342	3	26	that	that	PRON
fcis-20342	3	27	can	can	AUX
fcis-20342	3	28	represent	represent	VERB
fcis-20342	3	29	cultural	cultural	ADJ
fcis-20342	3	30	groups	group	NOUN
fcis-20342	3	31	.	.	PUNCT
fcis-20342	4	1	in	in	ADP
fcis-20342	4	2	this	this	DET
fcis-20342	4	3	paper	paper	NOUN
fcis-20342	4	4	,	,	PUNCT
fcis-20342	4	5	we	we	PRON
fcis-20342	4	6	introduce	introduce	VERB
fcis-20342	4	7	the	the	DET
fcis-20342	4	8	chinese	chinese	ADJ
fcis-20342	4	9	affective	affective	ADJ
fcis-20342	4	10	picture	picture	NOUN
fcis-20342	4	11	system	system	NOUN
fcis-20342	4	12	(	(	PUNCT
fcis-20342	4	13	caps	cap	NOUN
fcis-20342	4	14	)	)	PUNCT
fcis-20342	4	15	,	,	PUNCT
fcis-20342	4	16	which	which	PRON
fcis-20342	4	17	represents	represent	VERB
fcis-20342	4	18	chinese	chinese	ADJ
fcis-20342	4	19	culture	culture	NOUN
fcis-20342	4	20	,	,	PUNCT
fcis-20342	4	21	and	and	CCONJ
fcis-20342	4	22	revise	revise	VERB
fcis-20342	4	23	and	and	CCONJ
fcis-20342	4	24	test	test	VERB
fcis-20342	4	25	this	this	DET
fcis-20342	4	26	dataset	dataset	NOUN
fcis-20342	4	27	.	.	PUNCT
fcis-20342	5	1	the	the	DET
fcis-20342	5	2	pdanet	pdanet	PROPN
fcis-20342	5	3	model	model	NOUN
fcis-20342	5	4	has	have	VERB
fcis-20342	5	5	the	the	DET
fcis-20342	5	6	best	good	ADJ
fcis-20342	5	7	performance	performance	NOUN
fcis-20342	5	8	among	among	ADP
fcis-20342	5	9	the	the	DET
fcis-20342	5	10	current	current	ADJ
fcis-20342	5	11	image	image	NOUN
fcis-20342	5	12	sentiment	sentiment	NOUN
fcis-20342	5	13	regression	regression	NOUN
fcis-20342	5	14	models	model	NOUN
fcis-20342	5	15	,	,	PUNCT
fcis-20342	5	16	but	but	CCONJ
fcis-20342	5	17	due	due	ADP
fcis-20342	5	18	to	to	ADP
fcis-20342	5	19	the	the	DET
fcis-20342	5	20	difficulty	difficulty	NOUN
fcis-20342	5	21	of	of	ADP
fcis-20342	5	22	extracting	extract	VERB
fcis-20342	5	23	cross	cross	ADJ
fcis-20342	5	24	-	-	ADJ
fcis-20342	5	25	channel	channel	ADJ
fcis-20342	5	26	information	information	NOUN
fcis-20342	5	27	from	from	ADP
fcis-20342	5	28	the	the	DET
fcis-20342	5	29	attention	attention	NOUN
fcis-20342	5	30	module	module	NOUN
fcis-20342	5	31	it	it	PRON
fcis-20342	5	32	uses	use	VERB
fcis-20342	5	33	,	,	PUNCT
fcis-20342	5	34	image	image	NOUN
fcis-20342	5	35	long	long	ADJ
fcis-20342	5	36	-	-	PUNCT
fcis-20342	5	37	distance	distance	NOUN
fcis-20342	5	38	information	information	NOUN
fcis-20342	5	39	correlation	correlation	NOUN
fcis-20342	5	40	and	and	CCONJ
fcis-20342	5	41	other	other	ADJ
fcis-20342	5	42	shortcomings	shortcoming	NOUN
fcis-20342	5	43	,	,	PUNCT
fcis-20342	5	44	this	this	DET
fcis-20342	5	45	paper	paper	NOUN
fcis-20342	5	46	proposes	propose	VERB
fcis-20342	5	47	an	an	DET
fcis-20342	5	48	image	image	NOUN
fcis-20342	5	49	emotion	emotion	NOUN
fcis-20342	5	50	regression	regression	NOUN
fcis-20342	5	51	multiple	multiple	ADJ
fcis-20342	5	52	attention	attention	NOUN
fcis-20342	5	53	networks	network	NOUN
fcis-20342	5	54	,	,	PUNCT
fcis-20342	5	55	introduces	introduce	VERB
fcis-20342	5	56	the	the	DET
fcis-20342	5	57	simam	simam	ADJ
fcis-20342	5	58	attention	attention	NOUN
fcis-20342	5	59	mechanism	mechanism	NOUN
fcis-20342	5	60	,	,	PUNCT
fcis-20342	5	61	and	and	CCONJ
fcis-20342	5	62	improves	improve	VERB
fcis-20342	5	63	the	the	DET
fcis-20342	5	64	loss	loss	NOUN
fcis-20342	5	65	function	function	NOUN
fcis-20342	5	66	to	to	PART
fcis-20342	5	67	make	make	VERB
fcis-20342	5	68	it	it	PRON
fcis-20342	5	69	more	more	ADV
fcis-20342	5	70	consistent	consistent	ADJ
fcis-20342	5	71	with	with	ADP
fcis-20342	5	72	the	the	DET
fcis-20342	5	73	psychological	psychological	ADJ
fcis-20342	5	74	theory	theory	NOUN
fcis-20342	5	75	,	,	PUNCT
fcis-20342	5	76	and	and	CCONJ
fcis-20342	5	77	proposes	propose	VERB
fcis-20342	5	78	a	a	DET
fcis-20342	5	79	10	10	NUM
fcis-20342	5	80	-	-	ADJ
fcis-20342	5	81	fold	fold	ADJ
fcis-20342	5	82	cross	cross	NOUN
fcis-20342	5	83	-	-	NOUN
fcis-20342	5	84	validation	validation	NOUN
fcis-20342	5	85	for	for	ADP
fcis-20342	5	86	caps	cap	NOUN
fcis-20342	5	87	.	.	PUNCT
fcis-20342	6	1	the	the	DET
fcis-20342	6	2	network	network	NOUN
fcis-20342	6	3	achieves	achieve	VERB
fcis-20342	6	4	mse=0.0188	mse=0.0188	NOUN
fcis-20342	6	5	,	,	PUNCT
fcis-20342	6	6	r2=0.359	r2=0.359	X
fcis-20342	6	7	on	on	ADP
fcis-20342	6	8	iaps	iap	NOUN
fcis-20342	6	9	,	,	PUNCT
fcis-20342	6	10	and	and	CCONJ
fcis-20342	6	11	mse=0.0169	mse=0.0169	NOUN
fcis-20342	6	12	,	,	PUNCT
fcis-20342	6	13	r2=0.463	r2=0.463	NUM
fcis-20342	6	14	on	on	ADP
fcis-20342	6	15	naps	nap	NOUN
fcis-20342	6	16	,	,	PUNCT
fcis-20342	6	17	which	which	PRON
fcis-20342	6	18	is	be	AUX
fcis-20342	6	19	better	well	ADJ
fcis-20342	6	20	than	than	ADP
fcis-20342	6	21	pdanet	pdanet	NOUN
fcis-20342	6	22	;	;	PUNCT
fcis-20342	6	23	the	the	DET
fcis-20342	6	24	best	good	ADJ
fcis-20342	6	25	training	training	NOUN
fcis-20342	6	26	result	result	NOUN
fcis-20342	6	27	of	of	ADP
fcis-20342	6	28	caps	cap	NOUN
fcis-20342	6	29	is	be	AUX
fcis-20342	6	30	mse=0.0083	mse=0.0083	NOUN
fcis-20342	6	31	,	,	PUNCT
fcis-20342	6	32	r2=0.625	r2=0.625	NUM
fcis-20342	6	33	,	,	PUNCT
fcis-20342	6	34	and	and	CCONJ
fcis-20342	6	35	the	the	DET
fcis-20342	6	36	paired	pair	VERB
fcis-20342	6	37	-	-	PUNCT
fcis-20342	6	38	sample	sample	NOUN
fcis-20342	6	39	t	t	NOUN
fcis-20342	6	40	-	-	PUNCT
fcis-20342	6	41	test	test	NOUN
fcis-20342	6	42	of	of	ADP
fcis-20342	6	43	the	the	DET
fcis-20342	6	44	results	result	NOUN
fcis-20342	6	45	shows	show	VERB
fcis-20342	6	46	that	that	SCONJ
fcis-20342	6	47	all	all	DET
fcis-20342	6	48	the	the	DET
fcis-20342	6	49	three	three	NUM
fcis-20342	6	50	dimensions	dimension	NOUN
fcis-20342	6	51	are	be	AUX
fcis-20342	6	52	significantly	significantly	ADV
fcis-20342	6	53	positively	positively	ADV
fcis-20342	6	54	correlated	correlate	VERB
fcis-20342	6	55	,	,	PUNCT
fcis-20342	6	56	with	with	ADP
fcis-20342	6	57	correlation	correlation	NOUN
fcis-20342	6	58	coefficients	coefficient	NOUN
fcis-20342	6	59	r=0.942	r=0.942	ADV
fcis-20342	6	60	,	,	PUNCT
fcis-20342	6	61	0.895	0.895	NUM
fcis-20342	6	62	and	and	CCONJ
fcis-20342	6	63	0.943	0.943	NUM
fcis-20342	6	64	,	,	PUNCT
fcis-20342	6	65	respectively	respectively	ADV
fcis-20342	6	66	,	,	PUNCT
fcis-20342	6	67	showing	show	VERB
fcis-20342	6	68	good	good	ADJ
fcis-20342	6	69	internal	internal	ADJ
fcis-20342	6	70	consistency	consistency	NOUN
fcis-20342	6	71	and	and	CCONJ
fcis-20342	6	72	excellent	excellent	ADJ
fcis-20342	6	73	application	application	NOUN
fcis-20342	6	74	prospect	prospect	NOUN
fcis-20342	6	75	of	of	ADP
fcis-20342	6	76	caps	cap	NOUN
fcis-20342	6	77	.	.	PUNCT
fcis-20342	7	1	keywords	keyword	NOUN
fcis-20342	7	2	:	:	PUNCT
fcis-20342	7	3	affective	affective	ADJ
fcis-20342	7	4	image	image	NOUN
fcis-20342	7	5	content	content	NOUN
fcis-20342	7	6	analysis	analysis	NOUN
fcis-20342	7	7	;	;	PUNCT
fcis-20342	7	8	caps	cap	NOUN
fcis-20342	7	9	;	;	PUNCT
fcis-20342	7	10	simam	simam	NOUN
fcis-20342	7	11	.	.	PUNCT
fcis-20342	8	1	1	1	X
fcis-20342	8	2	.	.	X
fcis-20342	8	3	introduction	introduction	NOUN
fcis-20342	8	4	the	the	DET
fcis-20342	8	5	goal	goal	NOUN
fcis-20342	8	6	of	of	ADP
fcis-20342	8	7	affective	affective	ADJ
fcis-20342	8	8	image	image	NOUN
fcis-20342	8	9	content	content	NOUN
fcis-20342	8	10	analysis	analysis	NOUN
fcis-20342	8	11	(	(	PUNCT
fcis-20342	8	12	aica	aica	NOUN
fcis-20342	8	13	)	)	PUNCT
fcis-20342	8	14	is	be	AUX
fcis-20342	8	15	to	to	PART
fcis-20342	8	16	understand	understand	VERB
fcis-20342	8	17	semantic	semantic	ADJ
fcis-20342	8	18	information	information	NOUN
fcis-20342	8	19	at	at	ADP
fcis-20342	8	20	the	the	DET
fcis-20342	8	21	cognitive	cognitive	ADJ
fcis-20342	8	22	level	level	NOUN
fcis-20342	8	23	and	and	CCONJ
fcis-20342	8	24	to	to	PART
fcis-20342	8	25	recognize	recognize	VERB
fcis-20342	8	26	the	the	DET
fcis-20342	8	27	emotions	emotion	NOUN
fcis-20342	8	28	that	that	PRON
fcis-20342	8	29	an	an	DET
fcis-20342	8	30	image	image	NOUN
fcis-20342	8	31	will	will	AUX
fcis-20342	8	32	induce	induce	VERB
fcis-20342	8	33	for	for	ADP
fcis-20342	8	34	a	a	DET
fcis-20342	8	35	specific	specific	ADJ
fcis-20342	8	36	viewer	viewer	NOUN
fcis-20342	8	37	or	or	CCONJ
fcis-20342	8	38	most	most	ADJ
fcis-20342	8	39	people	people	NOUN
fcis-20342	8	40	.	.	PUNCT
fcis-20342	9	1	in	in	ADP
fcis-20342	9	2	the	the	DET
fcis-20342	9	3	field	field	NOUN
fcis-20342	9	4	of	of	ADP
fcis-20342	9	5	image	image	NOUN
fcis-20342	9	6	sentiment	sentiment	NOUN
fcis-20342	9	7	analysis	analysis	NOUN
fcis-20342	9	8	regression	regression	NOUN
fcis-20342	9	9	,	,	PUNCT
fcis-20342	9	10	pdanet	pdanet	PROPN
fcis-20342	9	11	has	have	VERB
fcis-20342	9	12	the	the	DET
fcis-20342	9	13	best	good	ADJ
fcis-20342	9	14	overall	overall	ADJ
fcis-20342	9	15	performance	performance	NOUN
fcis-20342	9	16	in	in	ADP
fcis-20342	9	17	terms	term	NOUN
fcis-20342	9	18	of	of	ADP
fcis-20342	9	19	performance	performance	NOUN
fcis-20342	9	20	metrics	metric	NOUN
fcis-20342	9	21	,	,	PUNCT
fcis-20342	9	22	but	but	CCONJ
fcis-20342	9	23	the	the	DET
fcis-20342	9	24	senet	senet	NOUN
fcis-20342	9	25	attention	attention	NOUN
fcis-20342	9	26	mechanism	mechanism	NOUN
fcis-20342	9	27	and	and	CCONJ
fcis-20342	9	28	spatial	spatial	ADJ
fcis-20342	9	29	attention	attention	NOUN
fcis-20342	9	30	mechanism	mechanism	NOUN
fcis-20342	9	31	used	use	VERB
fcis-20342	9	32	by	by	ADP
fcis-20342	9	33	the	the	DET
fcis-20342	9	34	model	model	NOUN
fcis-20342	9	35	have	have	VERB
fcis-20342	9	36	the	the	DET
fcis-20342	9	37	problems	problem	NOUN
fcis-20342	9	38	of	of	ADP
fcis-20342	9	39	dimensionality	dimensionality	NOUN
fcis-20342	9	40	loss	loss	NOUN
fcis-20342	9	41	of	of	ADP
fcis-20342	9	42	information	information	NOUN
fcis-20342	9	43	and	and	CCONJ
fcis-20342	9	44	difficulty	difficulty	NOUN
fcis-20342	9	45	in	in	ADP
fcis-20342	9	46	extracting	extract	VERB
fcis-20342	9	47	spatial	spatial	ADJ
fcis-20342	9	48	relations	relation	NOUN
fcis-20342	9	49	over	over	ADP
fcis-20342	9	50	long	long	ADJ
fcis-20342	9	51	distances	distance	NOUN
fcis-20342	9	52	,	,	PUNCT
fcis-20342	9	53	and	and	CCONJ
fcis-20342	9	54	the	the	DET
fcis-20342	9	55	dichotomous	dichotomous	ADJ
fcis-20342	9	56	polarity	polarity	NOUN
fcis-20342	9	57	judgement	judgement	NOUN
fcis-20342	9	58	used	use	VERB
fcis-20342	9	59	in	in	ADP
fcis-20342	9	60	its	its	PRON
fcis-20342	9	61	loss	loss	NOUN
fcis-20342	9	62	function	function	NOUN
fcis-20342	9	63	also	also	ADV
fcis-20342	9	64	has	have	VERB
fcis-20342	9	65	room	room	NOUN
fcis-20342	9	66	for	for	ADP
fcis-20342	9	67	further	further	ADJ
fcis-20342	9	68	optimization	optimization	NOUN
fcis-20342	9	69	.	.	PUNCT
fcis-20342	10	1	in	in	ADP
fcis-20342	10	2	the	the	DET
fcis-20342	10	3	current	current	ADJ
fcis-20342	10	4	research	research	NOUN
fcis-20342	10	5	in	in	ADP
fcis-20342	10	6	the	the	DET
fcis-20342	10	7	field	field	NOUN
fcis-20342	10	8	of	of	ADP
fcis-20342	10	9	image	image	NOUN
fcis-20342	10	10	emotion	emotion	NOUN
fcis-20342	10	11	,	,	PUNCT
fcis-20342	10	12	the	the	DET
fcis-20342	10	13	mainstream	mainstream	NOUN
fcis-20342	10	14	datasets	dataset	NOUN
fcis-20342	10	15	are	be	AUX
fcis-20342	10	16	all	all	PRON
fcis-20342	10	17	based	base	VERB
fcis-20342	10	18	on	on	ADP
fcis-20342	10	19	the	the	DET
fcis-20342	10	20	collection	collection	NOUN
fcis-20342	10	21	of	of	ADP
fcis-20342	10	22	foreign	foreign	ADJ
fcis-20342	10	23	social	social	ADJ
fcis-20342	10	24	platforms	platform	NOUN
fcis-20342	10	25	and	and	CCONJ
fcis-20342	10	26	picture	picture	NOUN
fcis-20342	10	27	websites	website	NOUN
fcis-20342	10	28	,	,	PUNCT
fcis-20342	10	29	and	and	CCONJ
fcis-20342	10	30	the	the	DET
fcis-20342	10	31	annotators	annotator	NOUN
fcis-20342	10	32	are	be	AUX
fcis-20342	10	33	also	also	ADV
fcis-20342	10	34	more	more	ADV
fcis-20342	10	35	internationalized	internationalized	ADJ
fcis-20342	10	36	.	.	PUNCT
fcis-20342	11	1	in	in	ADP
fcis-20342	11	2	the	the	DET
fcis-20342	11	3	field	field	NOUN
fcis-20342	11	4	of	of	ADP
fcis-20342	11	5	psychology	psychology	NOUN
fcis-20342	11	6	,	,	PUNCT
fcis-20342	11	7	relevant	relevant	ADJ
fcis-20342	11	8	studies	study	NOUN
fcis-20342	11	9	have	have	AUX
fcis-20342	11	10	confirmed	confirm	VERB
fcis-20342	11	11	that	that	SCONJ
fcis-20342	11	12	factors	factor	NOUN
fcis-20342	11	13	such	such	ADJ
fcis-20342	11	14	as	as	ADP
fcis-20342	11	15	culture	culture	NOUN
fcis-20342	11	16	,	,	PUNCT
fcis-20342	11	17	environment	environment	NOUN
fcis-20342	11	18	,	,	PUNCT
fcis-20342	11	19	and	and	CCONJ
fcis-20342	11	20	even	even	ADV
fcis-20342	11	21	religion	religion	NOUN
fcis-20342	11	22	can	can	AUX
fcis-20342	11	23	greatly	greatly	ADV
fcis-20342	11	24	affect	affect	VERB
fcis-20342	11	25	people	people	NOUN
fcis-20342	11	26	's	's	PART
fcis-20342	11	27	responses	response	NOUN
fcis-20342	11	28	to	to	ADP
fcis-20342	11	29	emotional	emotional	ADJ
fcis-20342	11	30	stimuli	stimulus	NOUN
fcis-20342	11	31	,	,	PUNCT
fcis-20342	11	32	and	and	CCONJ
fcis-20342	11	33	surveys	survey	NOUN
fcis-20342	11	34	on	on	ADP
fcis-20342	11	35	the	the	DET
fcis-20342	11	36	use	use	NOUN
fcis-20342	11	37	of	of	ADP
fcis-20342	11	38	iaps	iap	NOUN
fcis-20342	11	39	have	have	AUX
fcis-20342	11	40	pointed	point	VERB
fcis-20342	11	41	out	out	ADP
fcis-20342	11	42	that	that	SCONJ
fcis-20342	11	43	the	the	DET
fcis-20342	11	44	emotion	emotion	NOUN
fcis-20342	11	45	ratings	rating	NOUN
fcis-20342	11	46	of	of	ADP
fcis-20342	11	47	subjects	subject	NOUN
fcis-20342	11	48	from	from	ADP
fcis-20342	11	49	different	different	ADJ
fcis-20342	11	50	countries	country	NOUN
fcis-20342	11	51	differ	differ	VERB
fcis-20342	11	52	significantly	significantly	ADV
fcis-20342	11	53	from	from	ADP
fcis-20342	11	54	their	their	PRON
fcis-20342	11	55	original	original	ADJ
fcis-20342	11	56	data	datum	NOUN
fcis-20342	11	57	.	.	PUNCT
fcis-20342	12	1	this	this	PRON
fcis-20342	12	2	means	mean	VERB
fcis-20342	12	3	that	that	SCONJ
fcis-20342	12	4	projects	project	NOUN
fcis-20342	12	5	using	use	VERB
fcis-20342	12	6	existing	exist	VERB
fcis-20342	12	7	image	image	NOUN
fcis-20342	12	8	-	-	PUNCT
fcis-20342	12	9	emotion	emotion	NOUN
fcis-20342	12	10	datasets	dataset	NOUN
fcis-20342	12	11	are	be	AUX
fcis-20342	12	12	bound	bind	VERB
fcis-20342	12	13	to	to	PART
fcis-20342	12	14	be	be	AUX
fcis-20342	12	15	biased	bias	VERB
fcis-20342	12	16	and	and	CCONJ
fcis-20342	12	17	ineffective	ineffective	ADJ
fcis-20342	12	18	in	in	ADP
fcis-20342	12	19	their	their	PRON
fcis-20342	12	20	final	final	ADJ
fcis-20342	12	21	application	application	NOUN
fcis-20342	12	22	on	on	ADP
fcis-20342	12	23	a	a	DET
fcis-20342	12	24	country	country	NOUN
fcis-20342	12	25	-	-	PUNCT
fcis-20342	12	26	specific	specific	ADJ
fcis-20342	12	27	level	level	NOUN
fcis-20342	12	28	,	,	PUNCT
fcis-20342	12	29	such	such	ADJ
fcis-20342	12	30	as	as	ADP
fcis-20342	12	31	in	in	ADP
fcis-20342	12	32	a	a	DET
fcis-20342	12	33	chinese	chinese	ADJ
fcis-20342	12	34	population	population	NOUN
fcis-20342	12	35	or	or	CCONJ
fcis-20342	12	36	chinese	chinese	ADJ
fcis-20342	12	37	cultural	cultural	ADJ
fcis-20342	12	38	environment	environment	NOUN
fcis-20342	12	39	.	.	PUNCT
fcis-20342	13	1	therefore	therefore	ADV
fcis-20342	13	2	,	,	PUNCT
fcis-20342	13	3	the	the	DET
fcis-20342	13	4	aica	aica	PROPN
fcis-20342	13	5	field	field	NOUN
fcis-20342	13	6	needs	need	VERB
fcis-20342	13	7	to	to	PART
fcis-20342	13	8	introduce	introduce	VERB
fcis-20342	13	9	image	image	NOUN
fcis-20342	13	10	-	-	PUNCT
fcis-20342	13	11	emotion	emotion	NOUN
fcis-20342	13	12	datasets	dataset	NOUN
fcis-20342	13	13	that	that	PRON
fcis-20342	13	14	are	be	AUX
fcis-20342	13	15	more	more	ADV
fcis-20342	13	16	reflective	reflective	ADJ
fcis-20342	13	17	of	of	ADP
fcis-20342	13	18	local	local	ADJ
fcis-20342	13	19	chinese	chinese	ADJ
fcis-20342	13	20	reality	reality	NOUN
fcis-20342	13	21	.	.	PUNCT
fcis-20342	14	1	the	the	DET
fcis-20342	14	2	chinese	chinese	ADJ
fcis-20342	14	3	affective	affective	ADJ
fcis-20342	14	4	picture	picture	NOUN
fcis-20342	14	5	system	system	NOUN
fcis-20342	14	6	(	(	PUNCT
fcis-20342	14	7	caps	cap	NOUN
fcis-20342	14	8	)	)	PUNCT
fcis-20342	14	9	,	,	PUNCT
fcis-20342	14	10	which	which	PRON
fcis-20342	14	11	is	be	AUX
fcis-20342	14	12	a	a	DET
fcis-20342	14	13	localized	localized	ADJ
fcis-20342	14	14	and	and	CCONJ
fcis-20342	14	15	standardized	standardized	ADJ
fcis-20342	14	16	set	set	NOUN
fcis-20342	14	17	of	of	ADP
fcis-20342	14	18	emotionally	emotionally	ADV
fcis-20342	14	19	stimulating	stimulate	VERB
fcis-20342	14	20	picture	picture	NOUN
fcis-20342	14	21	systems	system	NOUN
fcis-20342	14	22	modeled	model	VERB
fcis-20342	14	23	after	after	ADP
fcis-20342	14	24	iaps	iap	NOUN
fcis-20342	14	25	by	by	ADP
fcis-20342	14	26	luo	luo	PROPN
fcis-20342	14	27	yuejia	yuejia	PROPN
fcis-20342	14	28	(	(	PUNCT
fcis-20342	14	29	2005	2005	NUM
fcis-20342	14	30	)	)	PUNCT
fcis-20342	14	31	and	and	CCONJ
fcis-20342	14	32	others	other	NOUN
fcis-20342	14	33	,	,	PUNCT
fcis-20342	14	34	uses	use	VERB
fcis-20342	14	35	the	the	DET
fcis-20342	14	36	vad	vad	PROPN
fcis-20342	14	37	model	model	NOUN
fcis-20342	14	38	to	to	PART
fcis-20342	14	39	label	label	VERB
fcis-20342	14	40	data	datum	NOUN
fcis-20342	14	41	and	and	CCONJ
fcis-20342	14	42	contains	contain	VERB
fcis-20342	14	43	852	852	NUM
fcis-20342	14	44	pictures	picture	NOUN
fcis-20342	14	45	with	with	ADP
fcis-20342	14	46	oriental	oriental	ADJ
fcis-20342	14	47	characteristics	characteristic	NOUN
fcis-20342	14	48	.	.	PUNCT
fcis-20342	15	1	compared	compare	VERB
fcis-20342	15	2	with	with	ADP
fcis-20342	15	3	iaps	iap	NOUN
fcis-20342	15	4	,	,	PUNCT
fcis-20342	15	5	it	it	PRON
fcis-20342	15	6	is	be	AUX
fcis-20342	15	7	more	more	ADV
fcis-20342	15	8	suitable	suitable	ADJ
fcis-20342	15	9	for	for	ADP
fcis-20342	15	10	use	use	NOUN
fcis-20342	15	11	in	in	ADP
fcis-20342	15	12	chinese	chinese	ADJ
fcis-20342	15	13	culture	culture	NOUN
fcis-20342	15	14	and	and	CCONJ
fcis-20342	15	15	has	have	AUX
fcis-20342	15	16	been	be	AUX
fcis-20342	15	17	widely	widely	ADV
fcis-20342	15	18	used	use	VERB
fcis-20342	15	19	in	in	ADP
fcis-20342	15	20	domestic	domestic	ADJ
fcis-20342	15	21	research	research	NOUN
fcis-20342	15	22	in	in	ADP
fcis-20342	15	23	the	the	DET
fcis-20342	15	24	field	field	NOUN
fcis-20342	15	25	of	of	ADP
fcis-20342	15	26	psychology	psychology	NOUN
fcis-20342	15	27	.	.	PUNCT
fcis-20342	16	1	to	to	PART
fcis-20342	16	2	address	address	VERB
fcis-20342	16	3	the	the	DET
fcis-20342	16	4	above	above	ADJ
fcis-20342	16	5	problems	problem	NOUN
fcis-20342	16	6	,	,	PUNCT
fcis-20342	16	7	the	the	DET
fcis-20342	16	8	main	main	ADJ
fcis-20342	16	9	contributions	contribution	NOUN
fcis-20342	16	10	of	of	ADP
fcis-20342	16	11	this	this	DET
fcis-20342	16	12	paper	paper	NOUN
fcis-20342	16	13	are	be	AUX
fcis-20342	16	14	as	as	SCONJ
fcis-20342	16	15	follows	follow	VERB
fcis-20342	16	16	:	:	PUNCT
fcis-20342	16	17	(	(	PUNCT
fcis-20342	16	18	1	1	X
fcis-20342	16	19	)	)	PUNCT
fcis-20342	16	20	propose	propose	VERB
fcis-20342	16	21	an	an	DET
fcis-20342	16	22	improved	improved	ADJ
fcis-20342	16	23	image	image	NOUN
fcis-20342	16	24	emotion	emotion	NOUN
fcis-20342	16	25	regression	regression	VERB
fcis-20342	16	26	multiple	multiple	ADJ
fcis-20342	16	27	attention	attention	NOUN
fcis-20342	16	28	networks	network	NOUN
fcis-20342	16	29	,	,	PUNCT
fcis-20342	16	30	introduce	introduce	VERB
fcis-20342	16	31	simam	simam	ADJ
fcis-20342	16	32	attention	attention	NOUN
fcis-20342	16	33	mechanism	mechanism	NOUN
fcis-20342	16	34	based	base	VERB
fcis-20342	16	35	on	on	ADP
fcis-20342	16	36	pdanet	pdanet	PROPN
fcis-20342	16	37	model	model	PROPN
fcis-20342	16	38	,	,	PUNCT
fcis-20342	16	39	improve	improve	VERB
fcis-20342	16	40	its	its	PRON
fcis-20342	16	41	loss	loss	NOUN
fcis-20342	16	42	function	function	NOUN
fcis-20342	16	43	,	,	PUNCT
fcis-20342	16	44	and	and	CCONJ
fcis-20342	16	45	obtain	obtain	VERB
fcis-20342	16	46	advantages	advantage	NOUN
fcis-20342	16	47	in	in	ADP
fcis-20342	16	48	testing	testing	NOUN
fcis-20342	16	49	;	;	PUNCT
fcis-20342	16	50	(	(	PUNCT
fcis-20342	16	51	2	2	X
fcis-20342	16	52	)	)	PUNCT
fcis-20342	16	53	revise	revise	VERB
fcis-20342	16	54	and	and	CCONJ
fcis-20342	16	55	introduce	introduce	VERB
fcis-20342	16	56	the	the	DET
fcis-20342	16	57	caps	cap	NOUN
fcis-20342	16	58	dataset	dataset	VERB
fcis-20342	16	59	,	,	PUNCT
fcis-20342	16	60	normalize	normalize	VERB
fcis-20342	16	61	its	its	PRON
fcis-20342	16	62	internal	internal	ADJ
fcis-20342	16	63	data	datum	NOUN
fcis-20342	16	64	,	,	PUNCT
fcis-20342	16	65	study	study	VERB
fcis-20342	16	66	its	its	PRON
fcis-20342	16	67	training	training	NOUN
fcis-20342	16	68	technique	technique	NOUN
fcis-20342	16	69	to	to	PART
fcis-20342	16	70	prevent	prevent	VERB
fcis-20342	16	71	overfitting	overfitting	NOUN
fcis-20342	16	72	,	,	PUNCT
fcis-20342	16	73	obtain	obtain	VERB
fcis-20342	16	74	its	its	PRON
fcis-20342	16	75	theoretical	theoretical	ADJ
fcis-20342	16	76	performance	performance	NOUN
fcis-20342	16	77	,	,	PUNCT
fcis-20342	16	78	and	and	CCONJ
fcis-20342	16	79	analyze	analyze	VERB
fcis-20342	16	80	its	its	PRON
fcis-20342	16	81	training	training	NOUN
fcis-20342	16	82	performance	performance	NOUN
fcis-20342	16	83	based	base	VERB
fcis-20342	16	84	on	on	ADP
fcis-20342	16	85	statistics	statistic	NOUN
fcis-20342	16	86	.	.	PUNCT
fcis-20342	17	1	2	2	X
fcis-20342	17	2	.	.	X
fcis-20342	17	3	related	relate	VERB
fcis-20342	17	4	work	work	NOUN
fcis-20342	17	5	2.1	2.1	NUM
fcis-20342	17	6	.	.	PUNCT
fcis-20342	18	1	psychological	psychological	ADJ
fcis-20342	18	2	measures	measure	NOUN
fcis-20342	18	3	of	of	ADP
fcis-20342	18	4	emotion	emotion	NOUN
fcis-20342	18	5	there	there	PRON
fcis-20342	18	6	are	be	VERB
fcis-20342	18	7	two	two	NUM
fcis-20342	18	8	important	important	ADJ
fcis-20342	18	9	schools	school	NOUN
fcis-20342	18	10	of	of	ADP
fcis-20342	18	11	contemporary	contemporary	ADJ
fcis-20342	18	12	emotion	emotion	NOUN
fcis-20342	18	13	theory	theory	NOUN
fcis-20342	18	14	:	:	PUNCT
fcis-20342	18	15	basic	basic	ADJ
fcis-20342	18	16	/	/	SYM
fcis-20342	18	17	discrete	discrete	ADJ
fcis-20342	18	18	emotion	emotion	NOUN
fcis-20342	18	19	theory	theory	NOUN
fcis-20342	18	20	[	[	X
fcis-20342	18	21	1	1	NUM
fcis-20342	18	22	]	]	PUNCT
fcis-20342	18	23	posits	posit	NOUN
fcis-20342	18	24	that	that	SCONJ
fcis-20342	18	25	emotions	emotion	NOUN
fcis-20342	18	26	are	be	AUX
fcis-20342	18	27	a	a	DET
fcis-20342	18	28	number	number	NOUN
fcis-20342	18	29	of	of	ADP
fcis-20342	18	30	mutually	mutually	ADV
fcis-20342	18	31	independent	independent	ADJ
fcis-20342	18	32	entities	entity	NOUN
fcis-20342	18	33	,	,	PUNCT
fcis-20342	18	34	similar	similar	ADJ
fcis-20342	18	35	to	to	ADP
fcis-20342	18	36	different	different	ADJ
fcis-20342	18	37	chemical	chemical	NOUN
fcis-20342	18	38	elements	element	NOUN
fcis-20342	18	39	or	or	CCONJ
fcis-20342	18	40	animal	animal	NOUN
fcis-20342	18	41	species	specie	NOUN
fcis-20342	18	42	.	.	PUNCT
fcis-20342	19	1	each	each	DET
fcis-20342	19	2	emotion	emotion	NOUN
fcis-20342	19	3	has	have	VERB
fcis-20342	19	4	a	a	DET
fcis-20342	19	5	unique	unique	ADJ
fcis-20342	19	6	adaptive	adaptive	ADJ
fcis-20342	19	7	function	function	NOUN
fcis-20342	19	8	that	that	PRON
fcis-20342	19	9	distinguishes	distinguish	VERB
fcis-20342	19	10	it	it	PRON
fcis-20342	19	11	from	from	ADP
fcis-20342	19	12	the	the	DET
fcis-20342	19	13	others	other	NOUN
fcis-20342	19	14	,	,	PUNCT
fcis-20342	19	15	e.g.	e.g.	ADV
fcis-20342	19	16	,	,	PUNCT
fcis-20342	19	17	humans	human	NOUN
fcis-20342	19	18	evolved	evolve	VERB
fcis-20342	19	19	fear	fear	NOUN
fcis-20342	19	20	to	to	PART
fcis-20342	19	21	help	help	VERB
fcis-20342	19	22	us	we	PRON
fcis-20342	19	23	escape	escape	VERB
fcis-20342	19	24	from	from	ADP
fcis-20342	19	25	the	the	DET
fcis-20342	19	26	threat	threat	NOUN
fcis-20342	19	27	of	of	ADP
fcis-20342	19	28	a	a	DET
fcis-20342	19	29	predator	predator	NOUN
fcis-20342	19	30	or	or	CCONJ
fcis-20342	19	31	similar	similar	ADJ
fcis-20342	19	32	imminent	imminent	ADJ
fcis-20342	19	33	physiological	physiological	ADJ
fcis-20342	19	34	risk	risk	NOUN
fcis-20342	19	35	.	.	PUNCT
fcis-20342	20	1	the	the	DET
fcis-20342	20	2	4	4	NUM
fcis-20342	20	3	dimensions	dimension	NOUN
fcis-20342	20	4	of	of	ADP
fcis-20342	20	5	emotion	emotion	NOUN
fcis-20342	20	6	:	:	PUNCT
fcis-20342	20	7	cognition	cognition	NOUN
fcis-20342	20	8	/	/	SYM
fcis-20342	20	9	appraisal	appraisal	NOUN
fcis-20342	20	10	,	,	PUNCT
fcis-20342	20	11	feelings	feeling	NOUN
fcis-20342	20	12	,	,	PUNCT
fcis-20342	20	13	physiological	physiological	ADJ
fcis-20342	20	14	responses	response	NOUN
fcis-20342	20	15	,	,	PUNCT
fcis-20342	20	16	and	and	CCONJ
fcis-20342	20	17	behavior	behavior	NOUN
fcis-20342	20	18	are	be	AUX
fcis-20342	20	19	tightly	tightly	ADV
fcis-20342	20	20	bound	bind	VERB
fcis-20342	20	21	to	to	ADP
fcis-20342	20	22	each	each	DET
fcis-20342	20	23	other	other	ADJ
fcis-20342	20	24	and	and	CCONJ
fcis-20342	20	25	remain	remain	VERB
fcis-20342	20	26	stable	stable	ADJ
fcis-20342	20	27	and	and	CCONJ
fcis-20342	20	28	consistent	consistent	ADJ
fcis-20342	20	29	across	across	ADP
fcis-20342	20	30	individuals	individual	NOUN
fcis-20342	20	31	and	and	CCONJ
fcis-20342	20	32	cultural	cultural	ADJ
fcis-20342	20	33	groups	group	NOUN
fcis-20342	20	34	;	;	PUNCT
fcis-20342	20	35	basic	basic	ADJ
fcis-20342	20	36	emotions	emotion	NOUN
fcis-20342	20	37	are	be	AUX
fcis-20342	20	38	universal	universal	ADJ
fcis-20342	20	39	among	among	ADP
fcis-20342	20	40	humans	human	NOUN
fcis-20342	20	41	and	and	CCONJ
fcis-20342	20	42	manifestations	manifestation	NOUN
fcis-20342	20	43	of	of	ADP
fcis-20342	20	44	basic	basic	ADJ
fcis-20342	20	45	emotions	emotion	NOUN
fcis-20342	20	46	can	can	AUX
fcis-20342	20	47	be	be	AUX
fcis-20342	20	48	seen	see	VERB
fcis-20342	20	49	in	in	ADP
fcis-20342	20	50	other	other	ADJ
fcis-20342	20	51	species	specie	NOUN
fcis-20342	20	52	;	;	PUNCT
fcis-20342	20	53	basic	basic	ADJ
fcis-20342	20	54	emotions	emotion	NOUN
fcis-20342	20	55	should	should	AUX
fcis-20342	20	56	have	have	VERB
fcis-20342	20	57	an	an	DET
fcis-20342	20	58	exclusive	exclusive	ADJ
fcis-20342	20	59	and	and	CCONJ
fcis-20342	20	60	innate	innate	ADJ
fcis-20342	20	61	expressive	expressive	ADJ
fcis-20342	20	62	system	system	NOUN
fcis-20342	20	63	for	for	ADP
fcis-20342	20	64	all	all	DET
fcis-20342	20	65	humans	human	NOUN
fcis-20342	20	66	,	,	PUNCT
fcis-20342	20	67	communicated	communicate	VERB
fcis-20342	20	68	through	through	ADP
fcis-20342	20	69	verbal	verbal	ADJ
fcis-20342	20	70	intonation	intonation	NOUN
fcis-20342	20	71	it	it	PRON
fcis-20342	20	72	can	can	AUX
fcis-20342	20	73	be	be	AUX
fcis-20342	20	74	communicated	communicate	VERB
fcis-20342	20	75	through	through	ADP
fcis-20342	20	76	tone	tone	NOUN
fcis-20342	20	77	of	of	ADP
fcis-20342	20	78	voice	voice	NOUN
fcis-20342	20	79	,	,	PUNCT
fcis-20342	20	80	facial	facial	ADJ
fcis-20342	20	81	expressions	expression	NOUN
fcis-20342	20	82	,	,	PUNCT
fcis-20342	20	83	body	body	NOUN
fcis-20342	20	84	movements	movement	NOUN
fcis-20342	20	85	,	,	PUNCT
fcis-20342	20	86	and	and	CCONJ
fcis-20342	20	87	other	other	ADJ
fcis-20342	20	88	23	23	NUM
fcis-20342	20	89	behaviors	behavior	NOUN
fcis-20342	20	90	,	,	PUNCT
fcis-20342	20	91	and	and	CCONJ
fcis-20342	20	92	it	it	PRON
fcis-20342	20	93	is	be	AUX
fcis-20342	20	94	difficult	difficult	ADJ
fcis-20342	20	95	to	to	PART
fcis-20342	20	96	be	be	AUX
fcis-20342	20	97	influenced	influence	VERB
fcis-20342	20	98	by	by	ADP
fcis-20342	20	99	subjective	subjective	ADJ
fcis-20342	20	100	feelings	feeling	NOUN
fcis-20342	20	101	;	;	PUNCT
fcis-20342	20	102	in	in	ADP
fcis-20342	20	103	conjunction	conjunction	NOUN
fcis-20342	20	104	with	with	ADP
fcis-20342	20	105	the	the	DET
fcis-20342	20	106	foregoing	foregoing	NOUN
fcis-20342	20	107	,	,	PUNCT
fcis-20342	20	108	such	such	ADJ
fcis-20342	20	109	basic	basic	ADJ
fcis-20342	20	110	emotions	emotion	NOUN
fcis-20342	20	111	should	should	AUX
fcis-20342	20	112	be	be	AUX
fcis-20342	20	113	present	present	ADJ
fcis-20342	20	114	in	in	ADP
fcis-20342	20	115	infancy	infancy	NOUN
fcis-20342	20	116	and	and	CCONJ
fcis-20342	20	117	early	early	ADJ
fcis-20342	20	118	childhood	childhood	NOUN
fcis-20342	20	119	,	,	PUNCT
fcis-20342	20	120	and	and	CCONJ
fcis-20342	20	121	even	even	ADV
fcis-20342	20	122	earlier	early	ADV
fcis-20342	20	123	.	.	PUNCT
fcis-20342	21	1	the	the	DET
fcis-20342	21	2	core	core	ADJ
fcis-20342	21	3	emotion	emotion	NOUN
fcis-20342	21	4	and	and	CCONJ
fcis-20342	21	5	psychological	psychological	ADJ
fcis-20342	21	6	construct	construct	NOUN
fcis-20342	21	7	theory	theory	NOUN
fcis-20342	21	8	[	[	X
fcis-20342	21	9	2	2	NUM
fcis-20342	21	10	]	]	PUNCT
fcis-20342	21	11	suggests	suggest	VERB
fcis-20342	21	12	that	that	SCONJ
fcis-20342	21	13	emotions	emotion	NOUN
fcis-20342	21	14	are	be	AUX
fcis-20342	21	15	not	not	PART
fcis-20342	21	16	discrete	discrete	ADJ
fcis-20342	21	17	,	,	PUNCT
fcis-20342	21	18	and	and	CCONJ
fcis-20342	21	19	that	that	SCONJ
fcis-20342	21	20	there	there	PRON
fcis-20342	21	21	should	should	AUX
fcis-20342	21	22	be	be	AUX
fcis-20342	21	23	some	some	DET
fcis-20342	21	24	core	core	NOUN
fcis-20342	21	25	emotions	emotion	NOUN
fcis-20342	21	26	that	that	PRON
fcis-20342	21	27	are	be	AUX
fcis-20342	21	28	then	then	ADV
fcis-20342	21	29	examined	examine	VERB
fcis-20342	21	30	in	in	ADP
fcis-20342	21	31	relation	relation	NOUN
fcis-20342	21	32	to	to	ADP
fcis-20342	21	33	the	the	DET
fcis-20342	21	34	rest	rest	NOUN
fcis-20342	21	35	of	of	ADP
fcis-20342	21	36	the	the	DET
fcis-20342	21	37	emotions	emotion	NOUN
fcis-20342	21	38	.	.	PUNCT
fcis-20342	22	1	this	this	DET
fcis-20342	22	2	approach	approach	NOUN
fcis-20342	22	3	recognizes	recognize	VERB
fcis-20342	22	4	emotions	emotion	NOUN
fcis-20342	22	5	in	in	ADP
fcis-20342	22	6	terms	term	NOUN
fcis-20342	22	7	of	of	ADP
fcis-20342	22	8	dimensions	dimension	NOUN
fcis-20342	22	9	,	,	PUNCT
fcis-20342	22	10	where	where	SCONJ
fcis-20342	22	11	emotions	emotion	NOUN
fcis-20342	22	12	at	at	ADP
fcis-20342	22	13	the	the	DET
fcis-20342	22	14	same	same	ADJ
fcis-20342	22	15	latitude	latitude	NOUN
fcis-20342	22	16	are	be	AUX
fcis-20342	22	17	similar	similar	ADJ
fcis-20342	22	18	but	but	CCONJ
fcis-20342	22	19	with	with	ADP
fcis-20342	22	20	different	different	ADJ
fcis-20342	22	21	intensities	intensity	NOUN
fcis-20342	22	22	.	.	PUNCT
fcis-20342	23	1	in	in	ADP
fcis-20342	23	2	addition	addition	NOUN
fcis-20342	23	3	,	,	PUNCT
fcis-20342	23	4	the	the	DET
fcis-20342	23	5	feeling	feeling	NOUN
fcis-20342	23	6	aspects	aspect	NOUN
fcis-20342	23	7	of	of	ADP
fcis-20342	23	8	emotions	emotion	NOUN
fcis-20342	23	9	are	be	AUX
fcis-20342	23	10	primary	primary	ADJ
fcis-20342	23	11	,	,	PUNCT
fcis-20342	23	12	rather	rather	ADV
fcis-20342	23	13	than	than	ADP
fcis-20342	23	14	cognitive	cognitive	ADJ
fcis-20342	23	15	,	,	PUNCT
fcis-20342	23	16	physiological	physiological	ADJ
fcis-20342	23	17	or	or	CCONJ
fcis-20342	23	18	behavioral	behavioral	ADJ
fcis-20342	23	19	aspects	aspect	NOUN
fcis-20342	23	20	;	;	PUNCT
fcis-20342	23	21	emotional	emotional	ADJ
fcis-20342	23	22	feelings	feeling	NOUN
fcis-20342	23	23	are	be	AUX
fcis-20342	23	24	best	well	ADV
fcis-20342	23	25	described	describe	VERB
fcis-20342	23	26	in	in	ADP
fcis-20342	23	27	terms	term	NOUN
fcis-20342	23	28	of	of	ADP
fcis-20342	23	29	continuously	continuously	ADV
fcis-20342	23	30	varying	vary	VERB
fcis-20342	23	31	dimensions	dimension	NOUN
fcis-20342	23	32	,	,	PUNCT
fcis-20342	23	33	rather	rather	ADV
fcis-20342	23	34	than	than	ADP
fcis-20342	23	35	discrete	discrete	ADJ
fcis-20342	23	36	categories	category	NOUN
fcis-20342	23	37	;	;	PUNCT
fcis-20342	23	38	and	and	CCONJ
fcis-20342	23	39	emotional	emotional	ADJ
fcis-20342	23	40	feelings	feeling	NOUN
fcis-20342	23	41	are	be	AUX
fcis-20342	23	42	described	describe	VERB
fcis-20342	23	43	primarily	primarily	ADV
fcis-20342	23	44	in	in	ADP
fcis-20342	23	45	terms	term	NOUN
fcis-20342	23	46	of	of	ADP
fcis-20342	23	47	potency	potency	NOUN
fcis-20342	23	48	(	(	PUNCT
fcis-20342	23	49	positive	positive	ADJ
fcis-20342	23	50	and	and	CCONJ
fcis-20342	23	51	negative	negative	ADJ
fcis-20342	23	52	)	)	PUNCT
fcis-20342	23	53	and	and	CCONJ
fcis-20342	23	54	degree	degree	NOUN
fcis-20342	23	55	of	of	ADP
fcis-20342	23	56	arousal	arousal	NOUN
fcis-20342	23	57	or	or	CCONJ
fcis-20342	23	58	activation	activation	NOUN
fcis-20342	23	59	.	.	PUNCT
fcis-20342	24	1	based	base	VERB
fcis-20342	24	2	on	on	ADP
fcis-20342	24	3	these	these	DET
fcis-20342	24	4	ideas	idea	NOUN
fcis-20342	24	5	,	,	PUNCT
fcis-20342	24	6	two	two	NUM
fcis-20342	24	7	measures	measure	NOUN
fcis-20342	24	8	of	of	ADP
fcis-20342	24	9	emotion	emotion	NOUN
fcis-20342	24	10	are	be	AUX
fcis-20342	24	11	proposed	propose	VERB
fcis-20342	24	12	.	.	PUNCT
fcis-20342	25	1	figure	figure	VERB
fcis-20342	25	2	1	1	NUM
fcis-20342	25	3	.	.	PUNCT
fcis-20342	25	4	plutchik	plutchik	PROPN
fcis-20342	25	5	's	's	PART
fcis-20342	25	6	emotional	emotional	ADJ
fcis-20342	25	7	roulette	roulette	NOUN
fcis-20342	25	8	wheel	wheel	NOUN
fcis-20342	25	9	figure	figure	NOUN
fcis-20342	25	10	2	2	NUM
fcis-20342	25	11	.	.	PUNCT
fcis-20342	25	12	circumplex	circumplex	NOUN
fcis-20342	25	13	modeling	modeling	NOUN
fcis-20342	25	14	of	of	ADP
fcis-20342	25	15	emotional	emotional	ADJ
fcis-20342	25	16	dimensions	dimension	NOUN
fcis-20342	25	17	emotion	emotion	NOUN
fcis-20342	25	18	category	category	NOUN
fcis-20342	25	19	models	model	NOUN
fcis-20342	25	20	,	,	PUNCT
fcis-20342	25	21	which	which	PRON
fcis-20342	25	22	typically	typically	ADV
fcis-20342	25	23	use	use	VERB
fcis-20342	25	24	several	several	ADJ
fcis-20342	25	25	basic	basic	ADJ
fcis-20342	25	26	emotional	emotional	ADJ
fcis-20342	25	27	states	state	NOUN
fcis-20342	25	28	to	to	PART
fcis-20342	25	29	represent	represent	VERB
fcis-20342	25	30	emotions	emotion	NOUN
fcis-20342	25	31	.	.	PUNCT
fcis-20342	26	1	the	the	DET
fcis-20342	26	2	simplest	simple	ADJ
fcis-20342	26	3	emotion	emotion	NOUN
fcis-20342	26	4	category	category	NOUN
fcis-20342	26	5	model	model	NOUN
fcis-20342	26	6	is	be	AUX
fcis-20342	26	7	the	the	DET
fcis-20342	26	8	binary	binary	ADJ
fcis-20342	26	9	positive	positive	ADJ
fcis-20342	26	10	and	and	CCONJ
fcis-20342	26	11	negative	negative	ADJ
fcis-20342	26	12	emotion	emotion	NOUN
fcis-20342	26	13	model	model	NOUN
fcis-20342	26	14	(	(	PUNCT
fcis-20342	26	15	polarity	polarity	NOUN
fcis-20342	26	16	)	)	PUNCT
fcis-20342	27	1	[	[	X
fcis-20342	27	2	3,4	3,4	NUM
fcis-20342	27	3	]	]	PUNCT
fcis-20342	27	4	.	.	PUNCT
fcis-20342	28	1	in	in	ADP
fcis-20342	28	2	this	this	DET
fcis-20342	28	3	case	case	NOUN
fcis-20342	28	4	,	,	PUNCT
fcis-20342	28	5	emotions	emotion	NOUN
fcis-20342	28	6	are	be	AUX
fcis-20342	28	7	often	often	ADV
fcis-20342	28	8	referred	refer	VERB
fcis-20342	28	9	to	to	ADP
fcis-20342	28	10	as	as	ADP
fcis-20342	28	11	affects	affect	NOUN
fcis-20342	28	12	and	and	CCONJ
fcis-20342	28	13	sometimes	sometimes	ADV
fcis-20342	28	14	include	include	VERB
fcis-20342	28	15	neutral	neutral	ADJ
fcis-20342	28	16	emotions	emotion	NOUN
fcis-20342	28	17	.	.	PUNCT
fcis-20342	29	1	given	give	VERB
fcis-20342	29	2	the	the	DET
fcis-20342	29	3	coarse	coarse	NOUN
fcis-20342	29	4	-	-	PUNCT
fcis-20342	29	5	grained	grain	VERB
fcis-20342	29	6	nature	nature	NOUN
fcis-20342	29	7	of	of	ADP
fcis-20342	29	8	emotion	emotion	NOUN
fcis-20342	29	9	polarity	polarity	NOUN
fcis-20342	29	10	models	model	NOUN
fcis-20342	29	11	,	,	PUNCT
fcis-20342	29	12	researchers	researcher	NOUN
fcis-20342	29	13	have	have	AUX
fcis-20342	29	14	devised	devise	VERB
fcis-20342	29	15	relatively	relatively	ADV
fcis-20342	29	16	finegrained	finegraine	VERB
fcis-20342	29	17	emotion	emotion	NOUN
fcis-20342	29	18	models	model	NOUN
fcis-20342	29	19	,	,	PUNCT
fcis-20342	29	20	such	such	ADJ
fcis-20342	29	21	as	as	ADP
fcis-20342	29	22	ekman	ekman	PROPN
fcis-20342	29	23	's	's	PART
fcis-20342	29	24	six	six	NUM
fcis-20342	29	25	emotions	emotion	NOUN
fcis-20342	29	26	(	(	PUNCT
fcis-20342	29	27	anger	anger	NOUN
fcis-20342	29	28	,	,	PUNCT
fcis-20342	29	29	disgust	disgust	NOUN
fcis-20342	29	30	,	,	PUNCT
fcis-20342	29	31	fear	fear	NOUN
fcis-20342	29	32	,	,	PUNCT
fcis-20342	29	33	happiness	happiness	NOUN
fcis-20342	29	34	,	,	PUNCT
fcis-20342	29	35	sadness	sadness	NOUN
fcis-20342	29	36	,	,	PUNCT
fcis-20342	29	37	and	and	CCONJ
fcis-20342	29	38	surprise	surprise	NOUN
fcis-20342	29	39	)	)	PUNCT
fcis-20342	30	1	[	[	X
fcis-20342	30	2	5	5	NUM
fcis-20342	30	3	]	]	PUNCT
fcis-20342	30	4	,	,	PUNCT
fcis-20342	30	5	and	and	CCONJ
fcis-20342	30	6	mikels	mikel	NOUN
fcis-20342	30	7	's	's	PART
fcis-20342	30	8	eight	eight	NUM
fcis-20342	30	9	emotions	emotion	NOUN
fcis-20342	30	10	(	(	PUNCT
fcis-20342	30	11	pleasantness	pleasantness	NOUN
fcis-20342	30	12	,	,	PUNCT
fcis-20342	30	13	anger	anger	NOUN
fcis-20342	30	14	,	,	PUNCT
fcis-20342	30	15	respect	respect	NOUN
fcis-20342	30	16	,	,	PUNCT
fcis-20342	30	17	contentment	contentment	NOUN
fcis-20342	30	18	,	,	PUNCT
fcis-20342	30	19	disgust	disgust	NOUN
fcis-20342	30	20	,	,	PUNCT
fcis-20342	30	21	excitement	excitement	NOUN
fcis-20342	30	22	,	,	PUNCT
fcis-20342	30	23	fear	fear	NOUN
fcis-20342	30	24	,	,	PUNCT
fcis-20342	30	25	and	and	CCONJ
fcis-20342	30	26	sadness	sadness	NOUN
fcis-20342	30	27	)	)	PUNCT
fcis-20342	31	1	[	[	X
fcis-20342	31	2	6	6	NUM
fcis-20342	31	3	]	]	PUNCT
fcis-20342	31	4	.	.	PUNCT
fcis-20342	32	1	based	base	VERB
fcis-20342	32	2	on	on	ADP
fcis-20342	32	3	the	the	DET
fcis-20342	32	4	eight	eight	NUM
fcis-20342	32	5	basic	basic	ADJ
fcis-20342	32	6	emotion	emotion	NOUN
fcis-20342	32	7	categories	category	NOUN
fcis-20342	32	8	(	(	PUNCT
fcis-20342	32	9	anger	anger	NOUN
fcis-20342	32	10	,	,	PUNCT
fcis-20342	32	11	24	24	NUM
fcis-20342	32	12	anticipation	anticipation	NOUN
fcis-20342	32	13	,	,	PUNCT
fcis-20342	32	14	disgust	disgust	NOUN
fcis-20342	32	15	,	,	PUNCT
fcis-20342	32	16	fear	fear	NOUN
fcis-20342	32	17	,	,	PUNCT
fcis-20342	32	18	pleasantness	pleasantness	NOUN
fcis-20342	32	19	,	,	PUNCT
fcis-20342	32	20	sadness	sadness	NOUN
fcis-20342	32	21	,	,	PUNCT
fcis-20342	32	22	surprise	surprise	NOUN
fcis-20342	32	23	,	,	PUNCT
fcis-20342	32	24	and	and	CCONJ
fcis-20342	32	25	trust	trust	NOUN
fcis-20342	32	26	)	)	PUNCT
fcis-20342	32	27	,	,	PUNCT
fcis-20342	32	28	plutchik	plutchik	NOUN
fcis-20342	33	1	[	[	X
fcis-20342	33	2	7	7	NUM
fcis-20342	33	3	]	]	PUNCT
fcis-20342	33	4	extends	extend	VERB
fcis-20342	33	5	three	three	NUM
fcis-20342	33	6	different	different	ADJ
fcis-20342	33	7	degrees	degree	NOUN
fcis-20342	33	8	of	of	ADP
fcis-20342	33	9	emotional	emotional	ADJ
fcis-20342	33	10	states	state	NOUN
fcis-20342	33	11	to	to	PART
fcis-20342	33	12	give	give	VERB
fcis-20342	33	13	a	a	DET
fcis-20342	33	14	richer	rich	ADJ
fcis-20342	33	15	set	set	NOUN
fcis-20342	33	16	.	.	PUNCT
fcis-20342	34	1	for	for	ADP
fcis-20342	34	2	example	example	NOUN
fcis-20342	34	3	,	,	PUNCT
fcis-20342	34	4	the	the	DET
fcis-20342	34	5	three	three	NUM
fcis-20342	34	6	degrees	degree	NOUN
fcis-20342	34	7	of	of	ADP
fcis-20342	34	8	pleasantness	pleasantness	NOUN
fcis-20342	34	9	are	be	AUX
fcis-20342	34	10	ecstasy-	ecstasy-	X
fcis-20342	34	11	>	>	X
fcis-20342	34	12	pleasantness-	pleasantness-	X
fcis-20342	34	13	>	>	X
fcis-20342	34	14	tranquility	tranquility	NOUN
fcis-20342	34	15	,	,	PUNCT
fcis-20342	34	16	and	and	CCONJ
fcis-20342	34	17	the	the	DET
fcis-20342	34	18	three	three	NUM
fcis-20342	34	19	degrees	degree	NOUN
fcis-20342	34	20	of	of	ADP
fcis-20342	34	21	fear	fear	NOUN
fcis-20342	34	22	are	be	AUX
fcis-20342	34	23	dread-	dread-	X
fcis-20342	34	24	>	>	X
fcis-20342	34	25	fear-	fear-	X
fcis-20342	34	26	>	>	X
fcis-20342	34	27	worry	worry	NOUN
fcis-20342	34	28	.	.	PUNCT
fcis-20342	35	1	another	another	DET
fcis-20342	35	2	representative	representative	ADJ
fcis-20342	35	3	classification	classification	NOUN
fcis-20342	35	4	model	model	NOUN
fcis-20342	35	5	is	be	AUX
fcis-20342	35	6	parrott	parrott	PROPN
fcis-20342	35	7	's	's	PART
fcis-20342	35	8	tree	tree	NOUN
fcis-20342	35	9	hierarchical	hierarchical	ADJ
fcis-20342	35	10	grouping	grouping	NOUN
fcis-20342	35	11	model	model	NOUN
fcis-20342	35	12	[	[	X
fcis-20342	35	13	8	8	NUM
fcis-20342	35	14	]	]	PUNCT
fcis-20342	35	15	,	,	PUNCT
fcis-20342	35	16	which	which	PRON
fcis-20342	35	17	divides	divide	VERB
fcis-20342	35	18	emotions	emotion	NOUN
fcis-20342	35	19	into	into	ADP
fcis-20342	35	20	three	three	NUM
fcis-20342	35	21	levels	level	NOUN
fcis-20342	35	22	.	.	PUNCT
fcis-20342	36	1	for	for	ADP
fcis-20342	36	2	example	example	NOUN
fcis-20342	36	3	,	,	PUNCT
fcis-20342	36	4	the	the	DET
fcis-20342	36	5	model	model	NOUN
fcis-20342	36	6	contains	contain	VERB
fcis-20342	36	7	two	two	NUM
fcis-20342	36	8	emotion	emotion	NOUN
fcis-20342	36	9	categories	category	NOUN
fcis-20342	36	10	,	,	PUNCT
fcis-20342	36	11	positive	positive	ADJ
fcis-20342	36	12	and	and	CCONJ
fcis-20342	36	13	negative	negative	ADJ
fcis-20342	36	14	,	,	PUNCT
fcis-20342	36	15	at	at	ADP
fcis-20342	36	16	the	the	DET
fcis-20342	36	17	first	first	ADJ
fcis-20342	36	18	level	level	NOUN
fcis-20342	36	19	,	,	PUNCT
fcis-20342	36	20	six	six	NUM
fcis-20342	36	21	categories	category	NOUN
fcis-20342	36	22	,	,	PUNCT
fcis-20342	36	23	anger	anger	NOUN
fcis-20342	36	24	,	,	PUNCT
fcis-20342	36	25	fear	fear	NOUN
fcis-20342	36	26	,	,	PUNCT
fcis-20342	36	27	pleasantness	pleasantness	NOUN
fcis-20342	36	28	,	,	PUNCT
fcis-20342	36	29	fondness	fondness	NOUN
fcis-20342	36	30	,	,	PUNCT
fcis-20342	36	31	sadness	sadness	NOUN
fcis-20342	36	32	,	,	PUNCT
fcis-20342	36	33	and	and	CCONJ
fcis-20342	36	34	surprise	surprise	NOUN
fcis-20342	36	35	,	,	PUNCT
fcis-20342	36	36	at	at	ADP
fcis-20342	36	37	the	the	DET
fcis-20342	36	38	second	second	ADJ
fcis-20342	36	39	level	level	NOUN
fcis-20342	36	40	,	,	PUNCT
fcis-20342	36	41	and	and	CCONJ
fcis-20342	36	42	25	25	NUM
fcis-20342	36	43	fine	fine	ADV
fcis-20342	36	44	-	-	PUNCT
fcis-20342	36	45	grained	grain	VERB
fcis-20342	36	46	emotion	emotion	NOUN
fcis-20342	36	47	categories	category	NOUN
fcis-20342	36	48	at	at	ADP
fcis-20342	36	49	the	the	DET
fcis-20342	36	50	third	third	ADJ
fcis-20342	36	51	level	level	NOUN
fcis-20342	36	52	.	.	PUNCT
fcis-20342	37	1	figure	figure	NOUN
fcis-20342	37	2	1	1	NUM
fcis-20342	37	3	below	below	ADV
fcis-20342	37	4	shows	show	VERB
fcis-20342	37	5	a	a	DET
fcis-20342	37	6	schematic	schematic	ADJ
fcis-20342	37	7	of	of	ADP
fcis-20342	37	8	plutchik	plutchik	NOUN
fcis-20342	37	9	's	's	PART
fcis-20342	37	10	emotion	emotion	NOUN
fcis-20342	37	11	roulette	roulette	NOUN
fcis-20342	37	12	wheel	wheel	NOUN
fcis-20342	37	13	.	.	PUNCT
fcis-20342	38	1	dimensional	dimensional	ADJ
fcis-20342	38	2	modeling	modeling	NOUN
fcis-20342	38	3	of	of	ADP
fcis-20342	38	4	emotion	emotion	NOUN
fcis-20342	38	5	.	.	PUNCT
fcis-20342	39	1	affect	affect	NOUN
fcis-20342	39	2	is	be	AUX
fcis-20342	39	3	represented	represent	VERB
fcis-20342	39	4	using	use	VERB
fcis-20342	39	5	a	a	DET
fcis-20342	39	6	continuous	continuous	ADJ
fcis-20342	39	7	cartesian	cartesian	ADJ
fcis-20342	39	8	space	space	NOUN
fcis-20342	39	9	of	of	ADP
fcis-20342	39	10	2	2	NUM
fcis-20342	39	11	,	,	PUNCT
fcis-20342	39	12	3	3	NUM
fcis-20342	39	13	,	,	PUNCT
fcis-20342	39	14	or	or	CCONJ
fcis-20342	39	15	higher	high	ADJ
fcis-20342	39	16	dimensions	dimension	NOUN
fcis-20342	39	17	,	,	PUNCT
fcis-20342	39	18	such	such	ADJ
fcis-20342	39	19	as	as	ADP
fcis-20342	39	20	the	the	DET
fcis-20342	39	21	dominance	dominance	NOUN
fcis-20342	39	22	-	-	PUNCT
fcis-20342	39	23	activation	activation	NOUN
fcis-20342	39	24	-	-	PUNCT
fcis-20342	39	25	control	control	NOUN
fcis-20342	39	26	model	model	NOUN
fcis-20342	40	1	[	[	X
fcis-20342	40	2	9	9	NUM
fcis-20342	40	3	]	]	PUNCT
fcis-20342	40	4	,	,	PUNCT
fcis-20342	40	5	and	and	CCONJ
fcis-20342	40	6	a	a	DET
fcis-20342	40	7	range	range	NOUN
fcis-20342	40	8	of	of	ADP
fcis-20342	40	9	factors	factor	NOUN
fcis-20342	40	10	such	such	ADJ
fcis-20342	40	11	as	as	ADP
fcis-20342	40	12	degree	degree	NOUN
fcis-20342	40	13	of	of	ADP
fcis-20342	40	14	likelihood	likelihood	NOUN
fcis-20342	40	15	,	,	PUNCT
fcis-20342	40	16	innovativeness	innovativeness	NOUN
fcis-20342	40	17	,	,	PUNCT
fcis-20342	40	18	temperature	temperature	NOUN
fcis-20342	40	19	-	-	PUNCT
fcis-20342	40	20	activation	activation	NOUN
fcis-20342	40	21	-	-	PUNCT
fcis-20342	40	22	weight	weight	NOUN
fcis-20342	40	23	,	,	PUNCT
fcis-20342	40	24	and	and	CCONJ
fcis-20342	40	25	so	so	ADV
fcis-20342	40	26	on	on	ADP
fcis-20342	40	27	[	[	PUNCT
fcis-20342	40	28	10	10	NUM
fcis-20342	40	29	]	]	PUNCT
fcis-20342	40	30	.	.	PUNCT
fcis-20342	41	1	the	the	DET
fcis-20342	41	2	vad	vad	PROPN
fcis-20342	41	3	is	be	AUX
fcis-20342	41	4	the	the	DET
fcis-20342	41	5	most	most	ADV
fcis-20342	41	6	widely	widely	ADV
fcis-20342	41	7	used	use	VERB
fcis-20342	41	8	of	of	ADP
fcis-20342	41	9	the	the	DET
fcis-20342	41	10	dimensional	dimensional	ADJ
fcis-20342	41	11	models	model	NOUN
fcis-20342	41	12	of	of	ADP
fcis-20342	41	13	affect	affect	NOUN
fcis-20342	41	14	[	[	X
fcis-20342	41	15	11	11	NUM
fcis-20342	41	16	]	]	PUNCT
fcis-20342	41	17	,	,	PUNCT
fcis-20342	41	18	with	with	ADP
fcis-20342	41	19	v	v	ADP
fcis-20342	41	20	representing	represent	VERB
fcis-20342	41	21	the	the	DET
fcis-20342	41	22	degree	degree	NOUN
fcis-20342	41	23	of	of	ADP
fcis-20342	41	24	satisfaction	satisfaction	NOUN
fcis-20342	41	25	of	of	ADP
fcis-20342	41	26	the	the	DET
fcis-20342	41	27	emotion	emotion	NOUN
fcis-20342	41	28	ranging	range	VERB
fcis-20342	41	29	from	from	ADP
fcis-20342	41	30	positive	positive	ADJ
fcis-20342	41	31	to	to	PART
fcis-20342	41	32	negative	negative	VERB
fcis-20342	41	33	,	,	PUNCT
fcis-20342	41	34	a	a	DET
fcis-20342	41	35	representing	represent	VERB
fcis-20342	41	36	the	the	DET
fcis-20342	41	37	range	range	NOUN
fcis-20342	41	38	of	of	ADP
fcis-20342	41	39	emotion	emotion	NOUN
fcis-20342	41	40	from	from	ADP
fcis-20342	41	41	agitation	agitation	NOUN
fcis-20342	41	42	to	to	ADP
fcis-20342	41	43	calmness	calmness	NOUN
fcis-20342	41	44	degree	degree	NOUN
fcis-20342	41	45	,	,	PUNCT
fcis-20342	41	46	and	and	CCONJ
fcis-20342	41	47	d	d	NOUN
fcis-20342	41	48	represents	represent	VERB
fcis-20342	41	49	the	the	DET
fcis-20342	41	50	range	range	NOUN
fcis-20342	41	51	from	from	ADP
fcis-20342	41	52	needing	need	VERB
fcis-20342	41	53	control	control	NOUN
fcis-20342	41	54	to	to	ADP
fcis-20342	41	55	being	be	AUX
fcis-20342	41	56	in	in	ADP
fcis-20342	41	57	control	control	NOUN
fcis-20342	41	58	.	.	PUNCT
fcis-20342	42	1	figure	figure	NOUN
fcis-20342	42	2	2	2	NUM
fcis-20342	42	3	below	below	ADV
fcis-20342	42	4	shows	show	VERB
fcis-20342	42	5	a	a	DET
fcis-20342	42	6	circular	circular	ADJ
fcis-20342	42	7	model	model	NOUN
fcis-20342	42	8	of	of	ADP
fcis-20342	42	9	the	the	DET
fcis-20342	42	10	emotion	emotion	NOUN
fcis-20342	42	11	dimensions	dimension	NOUN
fcis-20342	42	12	,	,	PUNCT
fcis-20342	42	13	giving	give	VERB
fcis-20342	42	14	the	the	DET
fcis-20342	42	15	location	location	NOUN
fcis-20342	42	16	of	of	ADP
fcis-20342	42	17	the	the	DET
fcis-20342	42	18	associated	associated	ADJ
fcis-20342	42	19	emotions	emotion	NOUN
fcis-20342	42	20	according	accord	VERB
fcis-20342	42	21	to	to	ADP
fcis-20342	42	22	the	the	DET
fcis-20342	42	23	degree	degree	NOUN
fcis-20342	42	24	of	of	ADP
fcis-20342	42	25	v	v	NOUN
fcis-20342	42	26	and	and	CCONJ
fcis-20342	42	27	a.	a.	NOUN
fcis-20342	42	28	these	these	DET
fcis-20342	42	29	two	two	NUM
fcis-20342	42	30	models	model	NOUN
fcis-20342	42	31	mentioned	mention	VERB
fcis-20342	42	32	above	above	ADV
fcis-20342	42	33	are	be	AUX
fcis-20342	42	34	not	not	PART
fcis-20342	42	35	only	only	ADV
fcis-20342	42	36	independently	independently	ADV
fcis-20342	42	37	comparable	comparable	ADJ
fcis-20342	42	38	,	,	PUNCT
fcis-20342	42	39	but	but	CCONJ
fcis-20342	42	40	also	also	ADV
fcis-20342	42	41	correlated	correlate	VERB
fcis-20342	42	42	.	.	PUNCT
fcis-20342	43	1	in	in	ADP
fcis-20342	43	2	some	some	DET
fcis-20342	43	3	literature	literature	NOUN
fcis-20342	43	4	[	[	X
fcis-20342	43	5	12,13	12,13	NUM
fcis-20342	43	6	]	]	PUNCT
fcis-20342	43	7	the	the	DET
fcis-20342	43	8	relationship	relationship	NOUN
fcis-20342	43	9	between	between	ADP
fcis-20342	43	10	the	the	DET
fcis-20342	43	11	emotion	emotion	NOUN
fcis-20342	43	12	classification	classification	NOUN
fcis-20342	43	13	model	model	NOUN
fcis-20342	43	14	and	and	CCONJ
fcis-20342	43	15	the	the	DET
fcis-20342	43	16	emotion	emotion	NOUN
fcis-20342	43	17	dimension	dimension	NOUN
fcis-20342	43	18	model	model	NOUN
fcis-20342	43	19	is	be	AUX
fcis-20342	43	20	analyzed	analyze	VERB
fcis-20342	43	21	,	,	PUNCT
fcis-20342	43	22	as	as	ADV
fcis-20342	43	23	well	well	ADV
fcis-20342	43	24	as	as	ADP
fcis-20342	43	25	how	how	SCONJ
fcis-20342	43	26	the	the	DET
fcis-20342	43	27	two	two	NUM
fcis-20342	43	28	are	be	AUX
fcis-20342	43	29	transformed	transform	VERB
fcis-20342	43	30	.	.	PUNCT
fcis-20342	44	1	for	for	ADP
fcis-20342	44	2	example	example	NOUN
fcis-20342	44	3	,	,	PUNCT
fcis-20342	44	4	the	the	DET
fcis-20342	44	5	positive	positive	ADJ
fcis-20342	44	6	space	space	NOUN
fcis-20342	44	7	of	of	ADP
fcis-20342	44	8	the	the	DET
fcis-20342	44	9	v	v	NOUN
fcis-20342	44	10	-	-	PUNCT
fcis-20342	44	11	axis	axis	NOUN
fcis-20342	44	12	is	be	AUX
fcis-20342	44	13	associated	associate	VERB
fcis-20342	44	14	with	with	ADP
fcis-20342	44	15	the	the	DET
fcis-20342	44	16	state	state	NOUN
fcis-20342	44	17	of	of	ADP
fcis-20342	44	18	being	be	AUX
fcis-20342	44	19	happy	happy	ADJ
fcis-20342	44	20	,	,	PUNCT
fcis-20342	44	21	while	while	SCONJ
fcis-20342	44	22	emotional	emotional	ADJ
fcis-20342	44	23	states	state	NOUN
fcis-20342	44	24	such	such	ADJ
fcis-20342	44	25	as	as	ADP
fcis-20342	44	26	sadness	sadness	NOUN
fcis-20342	44	27	and	and	CCONJ
fcis-20342	44	28	anger	anger	NOUN
fcis-20342	44	29	correspond	correspond	VERB
fcis-20342	44	30	to	to	ADP
fcis-20342	44	31	the	the	DET
fcis-20342	44	32	negative	negative	ADJ
fcis-20342	44	33	space	space	NOUN
fcis-20342	44	34	of	of	ADP
fcis-20342	44	35	the	the	DET
fcis-20342	44	36	vaxis	vaxis	NOUN
fcis-20342	44	37	.	.	PUNCT
fcis-20342	45	1	the	the	DET
fcis-20342	45	2	state	state	NOUN
fcis-20342	45	3	of	of	ADP
fcis-20342	45	4	relaxation	relaxation	NOUN
fcis-20342	45	5	is	be	AUX
fcis-20342	45	6	located	locate	VERB
fcis-20342	45	7	in	in	ADP
fcis-20342	45	8	the	the	DET
fcis-20342	45	9	low	low	ADJ
fcis-20342	45	10	stimulus	stimulus	ADJ
fcis-20342	45	11	level	level	NOUN
fcis-20342	45	12	space	space	NOUN
fcis-20342	45	13	of	of	ADP
fcis-20342	45	14	the	the	DET
fcis-20342	45	15	a	a	DET
fcis-20342	45	16	-	-	PUNCT
fcis-20342	45	17	axis	axis	NOUN
fcis-20342	45	18	,	,	PUNCT
fcis-20342	45	19	while	while	SCONJ
fcis-20342	45	20	anger	anger	NOUN
fcis-20342	45	21	corresponds	correspond	VERB
fcis-20342	45	22	to	to	ADP
fcis-20342	45	23	a	a	DET
fcis-20342	45	24	greater	great	ADJ
fcis-20342	45	25	level	level	NOUN
fcis-20342	45	26	of	of	ADP
fcis-20342	45	27	stimulus	stimulus	NOUN
fcis-20342	45	28	.	.	PUNCT
fcis-20342	46	1	in	in	ADP
fcis-20342	46	2	order	order	NOUN
fcis-20342	46	3	to	to	PART
fcis-20342	46	4	further	far	ADV
fcis-20342	46	5	distinguish	distinguish	VERB
fcis-20342	46	6	between	between	ADP
fcis-20342	46	7	the	the	DET
fcis-20342	46	8	very	very	ADV
fcis-20342	46	9	similar	similar	ADJ
fcis-20342	46	10	emotions	emotion	NOUN
fcis-20342	46	11	of	of	ADP
fcis-20342	46	12	anger	anger	NOUN
fcis-20342	46	13	and	and	CCONJ
fcis-20342	46	14	fear	fear	NOUN
fcis-20342	46	15	(	(	PUNCT
fcis-20342	46	16	both	both	PRON
fcis-20342	46	17	belonging	belong	VERB
fcis-20342	46	18	to	to	ADP
fcis-20342	46	19	the	the	DET
fcis-20342	46	20	negative	negative	ADJ
fcis-20342	46	21	space	space	NOUN
fcis-20342	46	22	of	of	ADP
fcis-20342	46	23	the	the	DET
fcis-20342	46	24	v	v	NOUN
fcis-20342	46	25	-	-	PUNCT
fcis-20342	46	26	axis	axis	NOUN
fcis-20342	46	27	and	and	CCONJ
fcis-20342	46	28	the	the	DET
fcis-20342	46	29	high	high	ADJ
fcis-20342	46	30	stimulus	stimulus	ADJ
fcis-20342	46	31	space	space	NOUN
fcis-20342	46	32	of	of	ADP
fcis-20342	46	33	the	the	DET
fcis-20342	46	34	a	a	DET
fcis-20342	46	35	-	-	PUNCT
fcis-20342	46	36	axis	axis	NOUN
fcis-20342	46	37	)	)	PUNCT
fcis-20342	46	38	,	,	PUNCT
fcis-20342	46	39	a	a	DET
fcis-20342	46	40	specific	specific	ADJ
fcis-20342	46	41	classification	classification	NOUN
fcis-20342	46	42	rule	rule	NOUN
fcis-20342	46	43	is	be	AUX
fcis-20342	46	44	needed	need	VERB
fcis-20342	46	45	(	(	PUNCT
fcis-20342	46	46	higher	high	ADJ
fcis-20342	46	47	stimulus	stimulus	NOUN
fcis-20342	46	48	belongs	belong	VERB
fcis-20342	46	49	to	to	ADP
fcis-20342	46	50	anger	anger	NOUN
fcis-20342	46	51	and	and	CCONJ
fcis-20342	46	52	lower	low	ADJ
fcis-20342	46	53	stimulus	stimulus	NOUN
fcis-20342	46	54	belongs	belong	VERB
fcis-20342	46	55	to	to	PART
fcis-20342	46	56	fear	fear	VERB
fcis-20342	46	57	)	)	PUNCT
fcis-20342	46	58	.	.	PUNCT
fcis-20342	47	1	2.2	2.2	NUM
fcis-20342	47	2	.	.	PUNCT
fcis-20342	48	1	the	the	DET
fcis-20342	48	2	influence	influence	NOUN
fcis-20342	48	3	of	of	ADP
fcis-20342	48	4	culture	culture	NOUN
fcis-20342	48	5	on	on	ADP
fcis-20342	48	6	emotions	emotion	NOUN
fcis-20342	48	7	the	the	DET
fcis-20342	48	8	relationship	relationship	NOUN
fcis-20342	48	9	between	between	ADP
fcis-20342	48	10	reactive	reactive	ADJ
fcis-20342	48	11	emotions	emotion	NOUN
fcis-20342	48	12	and	and	CCONJ
fcis-20342	48	13	society	society	NOUN
fcis-20342	48	14	has	have	VERB
fcis-20342	48	15	a	a	DET
fcis-20342	48	16	concept	concept	NOUN
fcis-20342	48	17	called	call	VERB
fcis-20342	48	18	emotional	emotional	ADJ
fcis-20342	48	19	socialization	socialization	NOUN
fcis-20342	48	20	,	,	PUNCT
fcis-20342	48	21	which	which	PRON
fcis-20342	48	22	means	mean	VERB
fcis-20342	48	23	the	the	DET
fcis-20342	48	24	emotions	emotion	NOUN
fcis-20342	48	25	that	that	PRON
fcis-20342	48	26	a	a	DET
fcis-20342	48	27	person	person	NOUN
fcis-20342	48	28	experiences	experience	VERB
fcis-20342	48	29	and	and	CCONJ
fcis-20342	48	30	expresses	express	VERB
fcis-20342	48	31	over	over	ADP
fcis-20342	48	32	a	a	DET
fcis-20342	48	33	long	long	ADJ
fcis-20342	48	34	period	period	NOUN
fcis-20342	48	35	of	of	ADP
fcis-20342	48	36	time	time	NOUN
fcis-20342	48	37	in	in	ADP
fcis-20342	48	38	social	social	ADJ
fcis-20342	48	39	interpersonal	interpersonal	ADJ
fcis-20342	48	40	relationships	relationship	NOUN
fcis-20342	48	41	.	.	PUNCT
fcis-20342	49	1	individuals	individual	NOUN
fcis-20342	49	2	are	be	AUX
fcis-20342	49	3	constantly	constantly	ADV
fcis-20342	49	4	trying	try	VERB
fcis-20342	49	5	to	to	PART
fcis-20342	49	6	understand	understand	VERB
fcis-20342	49	7	the	the	DET
fcis-20342	49	8	experiences	experience	NOUN
fcis-20342	49	9	and	and	CCONJ
fcis-20342	49	10	emotions	emotion	NOUN
fcis-20342	49	11	of	of	ADP
fcis-20342	49	12	other	other	ADJ
fcis-20342	49	13	individuals	individual	NOUN
fcis-20342	49	14	in	in	ADP
fcis-20342	49	15	their	their	PRON
fcis-20342	49	16	social	social	ADJ
fcis-20342	49	17	environment	environment	NOUN
fcis-20342	49	18	,	,	PUNCT
fcis-20342	49	19	as	as	ADV
fcis-20342	49	20	well	well	ADV
fcis-20342	49	21	as	as	ADP
fcis-20342	49	22	learning	learn	VERB
fcis-20342	49	23	how	how	SCONJ
fcis-20342	49	24	to	to	PART
fcis-20342	49	25	express	express	VERB
fcis-20342	49	26	their	their	PRON
fcis-20342	49	27	emotions	emotion	NOUN
fcis-20342	49	28	in	in	ADP
fcis-20342	49	29	various	various	ADJ
fcis-20342	49	30	situations	situation	NOUN
fcis-20342	49	31	and	and	CCONJ
fcis-20342	49	32	interpersonal	interpersonal	ADJ
fcis-20342	49	33	relationships	relationship	NOUN
fcis-20342	49	34	,	,	PUNCT
fcis-20342	49	35	due	due	ADP
fcis-20342	49	36	to	to	ADP
fcis-20342	49	37	the	the	DET
fcis-20342	49	38	demands	demand	NOUN
fcis-20342	49	39	and	and	CCONJ
fcis-20342	49	40	influences	influence	NOUN
fcis-20342	49	41	of	of	ADP
fcis-20342	49	42	socialization	socialization	NOUN
fcis-20342	49	43	during	during	ADP
fcis-20342	49	44	the	the	DET
fcis-20342	49	45	course	course	NOUN
fcis-20342	49	46	of	of	ADP
fcis-20342	49	47	their	their	PRON
fcis-20342	49	48	growth	growth	NOUN
fcis-20342	49	49	and	and	CCONJ
fcis-20342	49	50	development	development	NOUN
fcis-20342	49	51	.	.	PUNCT
fcis-20342	50	1	this	this	DET
fcis-20342	50	2	step	step	NOUN
fcis-20342	50	3	has	have	VERB
fcis-20342	50	4	important	important	ADJ
fcis-20342	50	5	implications	implication	NOUN
fcis-20342	50	6	for	for	ADP
fcis-20342	50	7	the	the	DET
fcis-20342	50	8	development	development	NOUN
fcis-20342	50	9	of	of	ADP
fcis-20342	50	10	an	an	DET
fcis-20342	50	11	individual	individual	NOUN
fcis-20342	50	12	's	's	PART
fcis-20342	50	13	empathy	empathy	NOUN
fcis-20342	50	14	.	.	PUNCT
fcis-20342	51	1	since	since	SCONJ
fcis-20342	51	2	human	human	ADJ
fcis-20342	51	3	beings	being	NOUN
fcis-20342	51	4	can	can	AUX
fcis-20342	51	5	not	not	PART
fcis-20342	51	6	exist	exist	VERB
fcis-20342	51	7	independently	independently	ADV
fcis-20342	51	8	of	of	ADP
fcis-20342	51	9	society	society	NOUN
fcis-20342	51	10	,	,	PUNCT
fcis-20342	51	11	in	in	ADP
fcis-20342	51	12	the	the	DET
fcis-20342	51	13	process	process	NOUN
fcis-20342	51	14	of	of	ADP
fcis-20342	51	15	growth	growth	NOUN
fcis-20342	51	16	and	and	CCONJ
fcis-20342	51	17	development	development	NOUN
fcis-20342	51	18	,	,	PUNCT
fcis-20342	51	19	individuals	individual	NOUN
fcis-20342	51	20	have	have	AUX
fcis-20342	51	21	been	be	AUX
fcis-20342	51	22	expressing	express	VERB
fcis-20342	51	23	their	their	PRON
fcis-20342	51	24	emotions	emotion	NOUN
fcis-20342	51	25	according	accord	VERB
fcis-20342	51	26	to	to	ADP
fcis-20342	51	27	the	the	DET
fcis-20342	51	28	requirements	requirement	NOUN
fcis-20342	51	29	of	of	ADP
fcis-20342	51	30	the	the	DET
fcis-20342	51	31	social	social	ADJ
fcis-20342	51	32	environment	environment	NOUN
fcis-20342	51	33	and	and	CCONJ
fcis-20342	51	34	cultural	cultural	ADJ
fcis-20342	51	35	context	context	NOUN
fcis-20342	51	36	in	in	ADP
fcis-20342	51	37	which	which	PRON
fcis-20342	51	38	they	they	PRON
fcis-20342	51	39	live	live	VERB
fcis-20342	51	40	,	,	PUNCT
fcis-20342	51	41	and	and	CCONJ
fcis-20342	51	42	expressing	express	VERB
fcis-20342	51	43	their	their	PRON
fcis-20342	51	44	emotions	emotion	NOUN
fcis-20342	51	45	according	accord	VERB
fcis-20342	51	46	to	to	ADP
fcis-20342	51	47	the	the	DET
fcis-20342	51	48	norms	norm	NOUN
fcis-20342	51	49	of	of	ADP
fcis-20342	51	50	the	the	DET
fcis-20342	51	51	worldview	worldview	NOUN
fcis-20342	51	52	,	,	PUNCT
fcis-20342	51	53	outlook	outlook	NOUN
fcis-20342	51	54	on	on	ADP
fcis-20342	51	55	life	life	NOUN
fcis-20342	51	56	,	,	PUNCT
fcis-20342	51	57	values	value	NOUN
fcis-20342	51	58	,	,	PUNCT
fcis-20342	51	59	and	and	CCONJ
fcis-20342	51	60	morality	morality	NOUN
fcis-20342	51	61	formed	form	VERB
fcis-20342	51	62	under	under	ADP
fcis-20342	51	63	the	the	DET
fcis-20342	51	64	influence	influence	NOUN
fcis-20342	51	65	of	of	ADP
fcis-20342	51	66	the	the	DET
fcis-20342	51	67	society	society	NOUN
fcis-20342	51	68	and	and	CCONJ
fcis-20342	51	69	culture	culture	NOUN
fcis-20342	51	70	in	in	ADP
fcis-20342	51	71	which	which	PRON
fcis-20342	51	72	they	they	PRON
fcis-20342	51	73	live	live	VERB
fcis-20342	51	74	.	.	PUNCT
fcis-20342	52	1	to	to	PART
fcis-20342	52	2	summarize	summarize	VERB
fcis-20342	52	3	,	,	PUNCT
fcis-20342	52	4	in	in	ADP
fcis-20342	52	5	the	the	DET
fcis-20342	52	6	growth	growth	NOUN
fcis-20342	52	7	and	and	CCONJ
fcis-20342	52	8	development	development	NOUN
fcis-20342	52	9	of	of	ADP
fcis-20342	52	10	an	an	DET
fcis-20342	52	11	individual	individual	NOUN
fcis-20342	52	12	,	,	PUNCT
fcis-20342	52	13	the	the	DET
fcis-20342	52	14	development	development	NOUN
fcis-20342	52	15	of	of	ADP
fcis-20342	52	16	emotions	emotion	NOUN
fcis-20342	52	17	is	be	AUX
fcis-20342	52	18	also	also	ADV
fcis-20342	52	19	complicated	complicated	ADJ
fcis-20342	52	20	and	and	CCONJ
fcis-20342	52	21	profound	profound	ADJ
fcis-20342	52	22	because	because	SCONJ
fcis-20342	52	23	of	of	ADP
fcis-20342	52	24	the	the	DET
fcis-20342	52	25	influences	influence	NOUN
fcis-20342	52	26	received	receive	VERB
fcis-20342	52	27	from	from	ADP
fcis-20342	52	28	society	society	NOUN
fcis-20342	52	29	,	,	PUNCT
fcis-20342	52	30	culture	culture	NOUN
fcis-20342	52	31	,	,	PUNCT
fcis-20342	52	32	history	history	NOUN
fcis-20342	52	33	,	,	PUNCT
fcis-20342	52	34	values	value	NOUN
fcis-20342	52	35	and	and	CCONJ
fcis-20342	52	36	so	so	ADV
fcis-20342	52	37	on	on	ADV
fcis-20342	52	38	.	.	PUNCT
fcis-20342	53	1	it	it	PRON
fcis-20342	53	2	can	can	AUX
fcis-20342	53	3	be	be	AUX
fcis-20342	53	4	said	say	VERB
fcis-20342	53	5	that	that	SCONJ
fcis-20342	53	6	it	it	PRON
fcis-20342	53	7	is	be	AUX
fcis-20342	53	8	the	the	DET
fcis-20342	53	9	combination	combination	NOUN
fcis-20342	53	10	of	of	ADP
fcis-20342	53	11	social	social	ADJ
fcis-20342	53	12	and	and	CCONJ
fcis-20342	53	13	cultural	cultural	ADJ
fcis-20342	53	14	qualities	quality	NOUN
fcis-20342	53	15	with	with	ADP
fcis-20342	53	16	the	the	DET
fcis-20342	53	17	basic	basic	ADJ
fcis-20342	53	18	emotions	emotion	NOUN
fcis-20342	53	19	innate	innate	VERB
fcis-20342	53	20	in	in	ADP
fcis-20342	53	21	human	human	ADJ
fcis-20342	53	22	beings	being	NOUN
fcis-20342	53	23	that	that	PRON
fcis-20342	53	24	produces	produce	VERB
fcis-20342	53	25	the	the	DET
fcis-20342	53	26	compound	compound	NOUN
fcis-20342	53	27	emotions	emotion	NOUN
fcis-20342	53	28	that	that	PRON
fcis-20342	53	29	interact	interact	VERB
fcis-20342	53	30	with	with	ADP
fcis-20342	53	31	each	each	DET
fcis-20342	53	32	other	other	ADJ
fcis-20342	53	33	,	,	PUNCT
fcis-20342	53	34	i.e.	i.e.	X
fcis-20342	53	35	,	,	PUNCT
fcis-20342	53	36	socialized	socialized	ADJ
fcis-20342	53	37	emotions	emotion	NOUN
fcis-20342	53	38	,	,	PUNCT
fcis-20342	53	39	and	and	CCONJ
fcis-20342	53	40	the	the	DET
fcis-20342	53	41	process	process	NOUN
fcis-20342	53	42	of	of	ADP
fcis-20342	53	43	individual	individual	ADJ
fcis-20342	53	44	growth	growth	NOUN
fcis-20342	53	45	and	and	CCONJ
fcis-20342	53	46	development	development	NOUN
fcis-20342	53	47	is	be	AUX
fcis-20342	53	48	the	the	DET
fcis-20342	53	49	process	process	NOUN
fcis-20342	53	50	of	of	ADP
fcis-20342	53	51	socialization	socialization	NOUN
fcis-20342	53	52	of	of	ADP
fcis-20342	53	53	emotions	emotion	NOUN
fcis-20342	53	54	.	.	PUNCT
fcis-20342	54	1	although	although	SCONJ
fcis-20342	54	2	the	the	DET
fcis-20342	54	3	biological	biological	ADJ
fcis-20342	54	4	basis	basis	NOUN
fcis-20342	54	5	of	of	ADP
fcis-20342	54	6	basic	basic	ADJ
fcis-20342	54	7	emotions	emotion	NOUN
fcis-20342	54	8	has	have	AUX
fcis-20342	54	9	been	be	AUX
fcis-20342	54	10	confirmed	confirm	VERB
fcis-20342	54	11	,	,	PUNCT
fcis-20342	54	12	but	but	CCONJ
fcis-20342	54	13	in	in	ADP
fcis-20342	54	14	specific	specific	ADJ
fcis-20342	54	15	personalized	personalized	ADJ
fcis-20342	54	16	and	and	CCONJ
fcis-20342	54	17	even	even	ADV
fcis-20342	54	18	different	different	ADJ
fcis-20342	54	19	cultural	cultural	ADJ
fcis-20342	54	20	environments	environment	NOUN
fcis-20342	54	21	have	have	VERB
fcis-20342	54	22	significant	significant	ADJ
fcis-20342	54	23	differences	difference	NOUN
fcis-20342	54	24	in	in	ADP
fcis-20342	54	25	the	the	DET
fcis-20342	54	26	performance	performance	NOUN
fcis-20342	54	27	.	.	PUNCT
fcis-20342	55	1	for	for	ADP
fcis-20342	55	2	example	example	NOUN
fcis-20342	55	3	,	,	PUNCT
fcis-20342	55	4	after	after	SCONJ
fcis-20342	55	5	the	the	DET
fcis-20342	55	6	death	death	NOUN
fcis-20342	55	7	of	of	ADP
fcis-20342	55	8	a	a	DET
fcis-20342	55	9	loved	love	VERB
fcis-20342	55	10	one	one	NOUN
fcis-20342	55	11	to	to	PART
fcis-20342	55	12	pay	pay	VERB
fcis-20342	55	13	tribute	tribute	NOUN
fcis-20342	55	14	to	to	ADP
fcis-20342	55	15	the	the	DET
fcis-20342	55	16	grief	grief	NOUN
fcis-20342	55	17	of	of	ADP
fcis-20342	55	18	all	all	DET
fcis-20342	55	19	cultures	culture	NOUN
fcis-20342	55	20	and	and	CCONJ
fcis-20342	55	21	societies	society	NOUN
fcis-20342	55	22	are	be	AUX
fcis-20342	55	23	universal	universal	ADJ
fcis-20342	55	24	,	,	PUNCT
fcis-20342	55	25	but	but	CCONJ
fcis-20342	55	26	the	the	DET
fcis-20342	55	27	specific	specific	ADJ
fcis-20342	55	28	expression	expression	NOUN
fcis-20342	55	29	of	of	ADP
fcis-20342	55	30	emotions	emotion	NOUN
fcis-20342	55	31	have	have	VERB
fcis-20342	55	32	their	their	PRON
fcis-20342	55	33	own	own	ADJ
fcis-20342	55	34	different	different	ADJ
fcis-20342	55	35	differences	difference	NOUN
fcis-20342	55	36	,	,	PUNCT
fcis-20342	55	37	for	for	ADP
fcis-20342	55	38	example	example	NOUN
fcis-20342	55	39	,	,	PUNCT
fcis-20342	55	40	china	china	PROPN
fcis-20342	55	41	's	's	PART
fcis-20342	55	42	funeral	funeral	ADJ
fcis-20342	55	43	culture	culture	NOUN
fcis-20342	55	44	in	in	ADP
fcis-20342	55	45	the	the	DET
fcis-20342	55	46	catharsis	catharsis	NOUN
fcis-20342	55	47	of	of	ADP
fcis-20342	55	48	emotions	emotion	NOUN
fcis-20342	55	49	,	,	PUNCT
fcis-20342	55	50	and	and	CCONJ
fcis-20342	55	51	the	the	DET
fcis-20342	55	52	mexican	mexican	ADJ
fcis-20342	55	53	attitude	attitude	NOUN
fcis-20342	55	54	towards	towards	ADP
fcis-20342	55	55	the	the	DET
fcis-20342	55	56	death	death	NOUN
fcis-20342	55	57	of	of	ADP
fcis-20342	55	58	a	a	DET
fcis-20342	55	59	loved	love	VERB
fcis-20342	55	60	one	one	NOUN
fcis-20342	55	61	is	be	AUX
fcis-20342	55	62	also	also	ADV
fcis-20342	55	63	different	different	ADJ
fcis-20342	55	64	,	,	PUNCT
fcis-20342	55	65	the	the	DET
fcis-20342	55	66	mexican	mexican	ADJ
fcis-20342	55	67	people	people	NOUN
fcis-20342	55	68	will	will	AUX
fcis-20342	55	69	be	be	AUX
fcis-20342	55	70	in	in	ADP
fcis-20342	55	71	the	the	DET
fcis-20342	55	72	day	day	NOUN
fcis-20342	55	73	of	of	ADP
fcis-20342	55	74	the	the	DET
fcis-20342	55	75	dead	dead	NOUN
fcis-20342	55	76	on	on	ADP
fcis-20342	55	77	the	the	DET
fcis-20342	55	78	day	day	NOUN
fcis-20342	55	79	of	of	ADP
fcis-20342	55	80	the	the	DET
fcis-20342	55	81	dead	dead	ADJ
fcis-20342	55	82	celebrations	celebration	NOUN
fcis-20342	55	83	,	,	PUNCT
fcis-20342	55	84	songs	song	NOUN
fcis-20342	55	85	and	and	CCONJ
fcis-20342	55	86	dances	dance	NOUN
fcis-20342	55	87	(	(	PUNCT
fcis-20342	55	88	which	which	PRON
fcis-20342	55	89	is	be	AUX
fcis-20342	55	90	reflected	reflect	VERB
fcis-20342	55	91	in	in	ADP
fcis-20342	55	92	the	the	DET
fcis-20342	55	93	animated	animate	VERB
fcis-20342	55	94	film	film	NOUN
fcis-20342	55	95	"	"	PUNCT
fcis-20342	55	96	finding	find	VERB
fcis-20342	55	97	dreams	dream	NOUN
fcis-20342	55	98	and	and	CCONJ
fcis-20342	55	99	travels	travel	VERB
fcis-20342	55	100	"	"	PUNCT
fcis-20342	55	101	)	)	PUNCT
fcis-20342	55	102	.	.	PUNCT
fcis-20342	56	1	it	it	PRON
fcis-20342	56	2	can	can	AUX
fcis-20342	56	3	be	be	AUX
fcis-20342	56	4	argued	argue	VERB
fcis-20342	56	5	that	that	SCONJ
fcis-20342	56	6	there	there	PRON
fcis-20342	56	7	are	be	VERB
fcis-20342	56	8	social	social	ADJ
fcis-20342	56	9	behaviors	behavior	NOUN
fcis-20342	56	10	that	that	PRON
fcis-20342	56	11	can	can	AUX
fcis-20342	56	12	transcend	transcend	VERB
fcis-20342	56	13	cultures	culture	NOUN
fcis-20342	56	14	but	but	CCONJ
fcis-20342	56	15	are	be	AUX
fcis-20342	56	16	not	not	PART
fcis-20342	56	17	universal	universal	ADJ
fcis-20342	56	18	,	,	PUNCT
fcis-20342	56	19	and	and	CCONJ
fcis-20342	56	20	similarly	similarly	ADV
fcis-20342	56	21	,	,	PUNCT
fcis-20342	56	22	basic	basic	ADJ
fcis-20342	56	23	emotions	emotion	NOUN
fcis-20342	56	24	can	can	AUX
fcis-20342	56	25	exist	exist	VERB
fcis-20342	56	26	across	across	ADP
fcis-20342	56	27	cultures	culture	NOUN
fcis-20342	56	28	but	but	CCONJ
fcis-20342	56	29	are	be	AUX
fcis-20342	56	30	not	not	PART
fcis-20342	56	31	likely	likely	ADJ
fcis-20342	56	32	to	to	PART
fcis-20342	56	33	be	be	AUX
fcis-20342	56	34	expressed	express	VERB
fcis-20342	56	35	and	and	CCONJ
fcis-20342	56	36	to	to	ADP
fcis-20342	56	37	the	the	DET
fcis-20342	56	38	same	same	ADJ
fcis-20342	56	39	degree	degree	NOUN
fcis-20342	56	40	.	.	PUNCT
fcis-20342	57	1	for	for	ADP
fcis-20342	57	2	the	the	DET
fcis-20342	57	3	individual	individual	ADJ
fcis-20342	57	4	,	,	PUNCT
fcis-20342	57	5	social	social	ADJ
fcis-20342	57	6	behaviors	behavior	NOUN
fcis-20342	57	7	and	and	CCONJ
fcis-20342	57	8	emotional	emotional	ADJ
fcis-20342	57	9	experiences	experience	NOUN
fcis-20342	57	10	and	and	CCONJ
fcis-20342	57	11	even	even	ADV
fcis-20342	57	12	expressions	expression	NOUN
fcis-20342	57	13	have	have	AUX
fcis-20342	57	14	been	be	AUX
fcis-20342	57	15	shaped	shape	VERB
fcis-20342	57	16	by	by	ADP
fcis-20342	57	17	social	social	ADJ
fcis-20342	57	18	influences	influence	NOUN
fcis-20342	57	19	.	.	PUNCT
fcis-20342	58	1	in	in	ADP
fcis-20342	58	2	our	our	PRON
fcis-20342	58	3	lives	life	NOUN
fcis-20342	58	4	,	,	PUNCT
fcis-20342	58	5	it	it	PRON
fcis-20342	58	6	is	be	AUX
fcis-20342	58	7	easy	easy	ADJ
fcis-20342	58	8	to	to	PART
fcis-20342	58	9	experience	experience	VERB
fcis-20342	58	10	a	a	DET
fcis-20342	58	11	peculiar	peculiar	ADJ
fcis-20342	58	12	thing	thing	NOUN
fcis-20342	58	13	that	that	PRON
fcis-20342	58	14	is	be	AUX
fcis-20342	58	15	more	more	ADJ
fcis-20342	58	16	face	face	NOUN
fcis-20342	58	17	-	-	PUNCT
fcis-20342	58	18	blind	blind	ADJ
fcis-20342	58	19	to	to	ADP
fcis-20342	58	20	foreigners	foreigner	NOUN
fcis-20342	58	21	,	,	PUNCT
fcis-20342	58	22	and	and	CCONJ
fcis-20342	58	23	when	when	SCONJ
fcis-20342	58	24	watching	watch	VERB
fcis-20342	58	25	movies	movie	NOUN
fcis-20342	58	26	and	and	CCONJ
fcis-20342	58	27	tv	tv	NOUN
fcis-20342	58	28	shows	show	NOUN
fcis-20342	58	29	,	,	PUNCT
fcis-20342	58	30	if	if	SCONJ
fcis-20342	58	31	we	we	PRON
fcis-20342	58	32	are	be	AUX
fcis-20342	58	33	not	not	PART
fcis-20342	58	34	familiar	familiar	ADJ
fcis-20342	58	35	enough	enough	ADV
fcis-20342	58	36	with	with	ADP
fcis-20342	58	37	the	the	DET
fcis-20342	58	38	characters	character	NOUN
fcis-20342	58	39	in	in	ADP
fcis-20342	58	40	the	the	DET
fcis-20342	58	41	plot	plot	NOUN
fcis-20342	58	42	,	,	PUNCT
fcis-20342	58	43	it	it	PRON
fcis-20342	58	44	is	be	AUX
fcis-20342	58	45	easy	easy	ADJ
fcis-20342	58	46	to	to	PART
fcis-20342	58	47	confuse	confuse	VERB
fcis-20342	58	48	the	the	DET
fcis-20342	58	49	characters	character	NOUN
fcis-20342	58	50	,	,	PUNCT
fcis-20342	58	51	and	and	CCONJ
fcis-20342	58	52	in	in	ADP
fcis-20342	58	53	psychology	psychology	NOUN
fcis-20342	58	54	this	this	DET
fcis-20342	58	55	phenomenon	phenomenon	NOUN
fcis-20342	58	56	is	be	AUX
fcis-20342	58	57	known	know	VERB
fcis-20342	58	58	as	as	ADP
fcis-20342	58	59	the	the	DET
fcis-20342	58	60	intraclan	intraclan	ADJ
fcis-20342	58	61	dominance	dominance	NOUN
fcis-20342	58	62	effect	effect	NOUN
fcis-20342	58	63	of	of	ADP
fcis-20342	58	64	emotions	emotion	NOUN
fcis-20342	58	65	,	,	PUNCT
fcis-20342	58	66	or	or	CCONJ
fcis-20342	58	67	also	also	ADV
fcis-20342	58	68	known	know	VERB
fcis-20342	58	69	as	as	ADP
fcis-20342	58	70	the	the	DET
fcis-20342	58	71	alien	alien	ADJ
fcis-20342	58	72	race	race	NOUN
fcis-20342	58	73	effect	effect	NOUN
fcis-20342	58	74	.	.	PUNCT
fcis-20342	59	1	the	the	DET
fcis-20342	59	2	meaning	meaning	NOUN
fcis-20342	59	3	of	of	ADP
fcis-20342	59	4	this	this	DET
fcis-20342	59	5	concept	concept	NOUN
fcis-20342	59	6	is	be	AUX
fcis-20342	59	7	that	that	SCONJ
fcis-20342	59	8	individuals	individual	NOUN
fcis-20342	59	9	tend	tend	VERB
fcis-20342	59	10	to	to	PART
fcis-20342	59	11	be	be	AUX
fcis-20342	59	12	more	more	ADV
fcis-20342	59	13	accurate	accurate	ADJ
fcis-20342	59	14	or	or	CCONJ
fcis-20342	59	15	responsive	responsive	ADJ
fcis-20342	59	16	in	in	ADP
fcis-20342	59	17	recognizing	recognize	VERB
fcis-20342	59	18	emotional	emotional	ADJ
fcis-20342	59	19	pictures	picture	NOUN
fcis-20342	59	20	or	or	CCONJ
fcis-20342	59	21	expressions	expression	NOUN
fcis-20342	59	22	associated	associate	VERB
fcis-20342	59	23	with	with	ADP
fcis-20342	59	24	their	their	PRON
fcis-20342	59	25	own	own	ADJ
fcis-20342	59	26	cultural	cultural	ADJ
fcis-20342	59	27	group	group	NOUN
fcis-20342	59	28	,	,	PUNCT
fcis-20342	59	29	while	while	SCONJ
fcis-20342	59	30	recognizing	recognize	VERB
fcis-20342	59	31	and	and	CCONJ
fcis-20342	59	32	remembering	remember	VERB
fcis-20342	59	33	alien	alien	ADJ
fcis-20342	59	34	emotional	emotional	ADJ
fcis-20342	59	35	faces	face	NOUN
fcis-20342	59	36	is	be	AUX
fcis-20342	59	37	more	more	ADV
fcis-20342	59	38	difficult	difficult	ADJ
fcis-20342	59	39	.	.	PUNCT
fcis-20342	60	1	in	in	ADP
fcis-20342	60	2	a	a	DET
fcis-20342	60	3	study	study	NOUN
fcis-20342	60	4	of	of	ADP
fcis-20342	60	5	expression	expression	NOUN
fcis-20342	60	6	recognition	recognition	NOUN
fcis-20342	60	7	between	between	ADP
fcis-20342	60	8	chinese	chinese	ADJ
fcis-20342	60	9	and	and	CCONJ
fcis-20342	60	10	australian	australian	ADJ
fcis-20342	60	11	children	child	NOUN
fcis-20342	60	12	[	[	X
fcis-20342	60	13	14	14	NUM
fcis-20342	60	14	]	]	X
fcis-20342	60	15	it	it	PRON
fcis-20342	60	16	was	be	AUX
fcis-20342	60	17	confirmed	confirm	VERB
fcis-20342	60	18	that	that	SCONJ
fcis-20342	60	19	children	child	NOUN
fcis-20342	60	20	were	be	AUX
fcis-20342	60	21	more	more	ADV
fcis-20342	60	22	accurate	accurate	ADJ
fcis-20342	60	23	in	in	ADP
fcis-20342	60	24	recognizing	recognize	VERB
fcis-20342	60	25	expressions	expression	NOUN
fcis-20342	60	26	of	of	ADP
fcis-20342	60	27	their	their	PRON
fcis-20342	60	28	home	home	NOUN
fcis-20342	60	29	group	group	NOUN
fcis-20342	60	30	.	.	PUNCT
fcis-20342	61	1	in	in	ADP
fcis-20342	61	2	addition	addition	NOUN
fcis-20342	61	3	,	,	PUNCT
fcis-20342	61	4	before	before	ADP
fcis-20342	61	5	compiling	compile	VERB
fcis-20342	61	6	the	the	DET
fcis-20342	61	7	caps	cap	NOUN
fcis-20342	61	8	dataset	dataset	VERB
fcis-20342	61	9	,	,	PUNCT
fcis-20342	61	10	researchers	researcher	NOUN
fcis-20342	61	11	conducted	conduct	VERB
fcis-20342	61	12	a	a	DET
fcis-20342	61	13	localized	localized	ADJ
fcis-20342	61	14	trial	trial	NOUN
fcis-20342	61	15	study	study	NOUN
fcis-20342	61	16	of	of	ADP
fcis-20342	61	17	the	the	DET
fcis-20342	61	18	iaps	iap	NOUN
fcis-20342	61	19	[	[	X
fcis-20342	61	20	15	15	NUM
fcis-20342	61	21	]	]	PUNCT
fcis-20342	61	22	,	,	PUNCT
fcis-20342	61	23	the	the	DET
fcis-20342	61	24	results	result	NOUN
fcis-20342	61	25	of	of	ADP
fcis-20342	61	26	which	which	PRON
fcis-20342	61	27	showed	show	VERB
fcis-20342	61	28	that	that	SCONJ
fcis-20342	61	29	the	the	DET
fcis-20342	61	30	chinese	chinese	PROPN
fcis-20342	61	31	university	university	PROPN
fcis-20342	61	32	student	student	NOUN
fcis-20342	61	33	subjects	subject	NOUN
fcis-20342	61	34	participating	participate	VERB
fcis-20342	61	35	in	in	ADP
fcis-20342	61	36	the	the	DET
fcis-20342	61	37	experiment	experiment	NOUN
fcis-20342	61	38	rated	rate	VERB
fcis-20342	61	39	the	the	DET
fcis-20342	61	40	iaps	iap	NOUN
fcis-20342	61	41	significantly	significantly	ADV
fcis-20342	61	42	differently	differently	ADV
fcis-20342	61	43	from	from	ADP
fcis-20342	61	44	the	the	DET
fcis-20342	61	45	original	original	ADJ
fcis-20342	61	46	ratings	rating	NOUN
fcis-20342	61	47	;	;	PUNCT
fcis-20342	61	48	an	an	DET
fcis-20342	61	49	analysis	analysis	NOUN
fcis-20342	61	50	of	of	ADP
fcis-20342	61	51	the	the	DET
fcis-20342	61	52	specific	specific	ADJ
fcis-20342	61	53	differences	difference	NOUN
fcis-20342	61	54	revealed	reveal	VERB
fcis-20342	61	55	that	that	SCONJ
fcis-20342	61	56	the	the	DET
fcis-20342	61	57	chinese	chinese	ADJ
fcis-20342	61	58	subjects	subject	NOUN
fcis-20342	61	59	tended	tend	VERB
fcis-20342	61	60	to	to	PART
fcis-20342	61	61	be	be	AUX
fcis-20342	61	62	neutral	neutral	ADJ
fcis-20342	61	63	in	in	ADP
fcis-20342	61	64	their	their	PRON
fcis-20342	61	65	ratings	rating	NOUN
fcis-20342	61	66	of	of	ADP
fcis-20342	61	67	the	the	DET
fcis-20342	61	68	portrait	portrait	NOUN
fcis-20342	61	69	pictures	picture	NOUN
fcis-20342	61	70	on	on	ADP
fcis-20342	61	71	the	the	DET
fcis-20342	61	72	iaps	iap	NOUN
fcis-20342	61	73	,	,	PUNCT
fcis-20342	61	74	preferring	prefer	VERB
fcis-20342	61	75	to	to	PART
fcis-20342	61	76	rate	rate	VERB
fcis-20342	61	77	the	the	DET
fcis-20342	61	78	iaps	iap	NOUN
fcis-20342	61	79	as	as	ADP
fcis-20342	61	80	neutral	neutral	ADJ
fcis-20342	61	81	,	,	PUNCT
fcis-20342	61	82	and	and	CCONJ
fcis-20342	61	83	neither	neither	CCONJ
fcis-20342	61	84	liking	like	VERB
fcis-20342	61	85	positive	positive	ADJ
fcis-20342	61	86	nor	nor	CCONJ
fcis-20342	61	87	disliking	dislike	VERB
fcis-20342	61	88	negative	negative	ADJ
fcis-20342	61	89	faces	face	NOUN
fcis-20342	61	90	,	,	PUNCT
fcis-20342	61	91	compared	compare	VERB
fcis-20342	61	92	to	to	ADP
fcis-20342	61	93	the	the	DET
fcis-20342	61	94	original	original	ADJ
fcis-20342	61	95	ratings	rating	NOUN
fcis-20342	61	96	.	.	PUNCT
fcis-20342	62	1	faces	face	NOUN
fcis-20342	62	2	,	,	PUNCT
fcis-20342	62	3	in	in	ADP
fcis-20342	62	4	contrast	contrast	NOUN
fcis-20342	62	5	to	to	ADP
fcis-20342	62	6	the	the	DET
fcis-20342	62	7	original	original	ADJ
fcis-20342	62	8	ratings	rating	NOUN
fcis-20342	62	9	that	that	PRON
fcis-20342	62	10	made	make	VERB
fcis-20342	62	11	a	a	DET
fcis-20342	62	12	greater	great	ADJ
fcis-20342	62	13	distinction	distinction	NOUN
fcis-20342	62	14	between	between	ADP
fcis-20342	62	15	relevant	relevant	ADJ
fcis-20342	62	16	pictures	picture	NOUN
fcis-20342	62	17	.	.	PUNCT
fcis-20342	63	1	several	several	ADJ
fcis-20342	63	2	fmri	fmri	NOUN
fcis-20342	63	3	[	[	X
fcis-20342	63	4	16	16	NUM
fcis-20342	63	5	]	]	PUNCT
fcis-20342	63	6	and	and	CCONJ
fcis-20342	63	7	eeg	eeg	PROPN
fcis-20342	63	8	studies	study	NOUN
fcis-20342	63	9	[	[	X
fcis-20342	63	10	17	17	NUM
fcis-20342	63	11	]	]	PUNCT
fcis-20342	63	12	have	have	AUX
fcis-20342	63	13	also	also	ADV
fcis-20342	63	14	provided	provide	VERB
fcis-20342	63	15	support	support	NOUN
fcis-20342	63	16	and	and	CCONJ
fcis-20342	63	17	evidence	evidence	NOUN
fcis-20342	63	18	for	for	ADP
fcis-20342	63	19	cross	cross	ADJ
fcis-20342	63	20	-	-	ADJ
fcis-20342	63	21	cultural	cultural	ADJ
fcis-20342	63	22	differences	difference	NOUN
fcis-20342	63	23	in	in	ADP
fcis-20342	63	24	emotions	emotion	NOUN
fcis-20342	63	25	.	.	PUNCT
fcis-20342	64	1	for	for	ADP
fcis-20342	64	2	example	example	NOUN
fcis-20342	64	3	,	,	PUNCT
fcis-20342	64	4	in	in	ADP
fcis-20342	64	5	one	one	NUM
fcis-20342	64	6	study	study	NOUN
fcis-20342	64	7	,	,	PUNCT
fcis-20342	64	8	caucasians	caucasian	NOUN
fcis-20342	64	9	and	and	CCONJ
fcis-20342	64	10	japanese	japanese	PROPN
fcis-20342	64	11	had	have	VERB
fcis-20342	64	12	different	different	ADJ
fcis-20342	64	13	activation	activation	NOUN
fcis-20342	64	14	areas	area	NOUN
fcis-20342	64	15	when	when	SCONJ
fcis-20342	64	16	viewing	view	VERB
fcis-20342	64	17	fearful	fearful	ADJ
fcis-20342	64	18	faces	face	NOUN
fcis-20342	64	19	,	,	PUNCT
fcis-20342	64	20	suggesting	suggest	VERB
fcis-20342	64	21	that	that	SCONJ
fcis-20342	64	22	caucasians	caucasian	NOUN
fcis-20342	64	23	may	may	AUX
fcis-20342	64	24	be	be	AUX
fcis-20342	64	25	responding	respond	VERB
fcis-20342	64	26	to	to	ADP
fcis-20342	64	27	fearful	fearful	ADJ
fcis-20342	64	28	faces	face	NOUN
fcis-20342	64	29	in	in	ADP
fcis-20342	64	30	a	a	DET
fcis-20342	64	31	more	more	ADV
fcis-20342	64	32	direct	direct	ADJ
fcis-20342	64	33	and	and	CCONJ
fcis-20342	64	34	emotional	emotional	ADJ
fcis-20342	64	35	way	way	NOUN
fcis-20342	64	36	,	,	PUNCT
fcis-20342	64	37	whereas	whereas	SCONJ
fcis-20342	64	38	for	for	ADP
fcis-20342	64	39	japanese	japanese	ADJ
fcis-20342	64	40	people	people	NOUN
fcis-20342	64	41	there	there	PRON
fcis-20342	64	42	is	be	VERB
fcis-20342	64	43	no	no	DET
fcis-20342	64	44	need	need	NOUN
fcis-20342	64	45	to	to	PART
fcis-20342	64	46	respond	respond	VERB
fcis-20342	64	47	in	in	ADP
fcis-20342	64	48	this	this	DET
fcis-20342	64	49	way	way	NOUN
fcis-20342	64	50	at	at	ADV
fcis-20342	64	51	all	all	ADV
fcis-20342	64	52	,	,	PUNCT
fcis-20342	64	53	and	and	CCONJ
fcis-20342	64	54	simply	simply	ADV
fcis-20342	64	55	using	use	VERB
fcis-20342	64	56	the	the	DET
fcis-20342	64	57	template	template	NOUN
fcis-20342	64	58	matching	matching	NOUN
fcis-20342	64	59	system	system	NOUN
fcis-20342	64	60	in	in	ADP
fcis-20342	64	61	the	the	DET
fcis-20342	64	62	brain	brain	NOUN
fcis-20342	64	63	to	to	PART
fcis-20342	64	64	emotionally	emotionally	ADV
fcis-20342	64	65	recognize	recognize	VERB
fcis-20342	64	66	these	these	DET
fcis-20342	64	67	faces	face	NOUN
fcis-20342	64	68	is	be	AUX
fcis-20342	64	69	sufficient	sufficient	ADJ
fcis-20342	64	70	,	,	PUNCT
fcis-20342	64	71	and	and	CCONJ
fcis-20342	64	72	does	do	AUX
fcis-20342	64	73	not	not	PART
fcis-20342	64	74	elicit	elicit	VERB
fcis-20342	64	75	a	a	DET
fcis-20342	64	76	more	more	ADV
fcis-20342	64	77	pronounced	pronounced	ADJ
fcis-20342	64	78	emotional	emotional	ADJ
fcis-20342	64	79	response	response	NOUN
fcis-20342	64	80	[	[	X
fcis-20342	64	81	16	16	NUM
fcis-20342	64	82	]	]	PUNCT
fcis-20342	64	83	.	.	PUNCT
fcis-20342	64	84	.	.	PUNCT
fcis-20342	65	1	in	in	ADP
fcis-20342	65	2	another	another	DET
fcis-20342	65	3	project	project	NOUN
fcis-20342	65	4	examining	examine	VERB
fcis-20342	65	5	the	the	DET
fcis-20342	65	6	differences	difference	NOUN
fcis-20342	65	7	between	between	ADP
fcis-20342	65	8	japanese	japanese	ADJ
fcis-20342	65	9	and	and	CCONJ
fcis-20342	65	10	french	french	ADJ
fcis-20342	65	11	people	people	NOUN
fcis-20342	65	12	when	when	SCONJ
fcis-20342	65	13	receiving	receive	VERB
fcis-20342	65	14	emotional	emotional	ADJ
fcis-20342	65	15	stimuli	stimulus	NOUN
fcis-20342	65	16	from	from	ADP
fcis-20342	65	17	images	image	NOUN
fcis-20342	65	18	,	,	PUNCT
fcis-20342	65	19	it	it	PRON
fcis-20342	65	20	was	be	AUX
fcis-20342	65	21	found	find	VERB
fcis-20342	65	22	that	that	SCONJ
fcis-20342	65	23	there	there	PRON
fcis-20342	65	24	were	be	VERB
fcis-20342	65	25	no	no	DET
fcis-20342	65	26	significant	significant	ADJ
fcis-20342	65	27	differences	difference	NOUN
fcis-20342	65	28	in	in	ADP
fcis-20342	65	29	processing	process	VERB
fcis-20342	65	30	early	early	ADV
fcis-20342	65	31	on	on	ADV
fcis-20342	65	32	,	,	PUNCT
fcis-20342	65	33	but	but	CCONJ
fcis-20342	65	34	that	that	SCONJ
fcis-20342	65	35	significant	significant	ADJ
fcis-20342	65	36	differences	difference	NOUN
fcis-20342	65	37	25	25	NUM
fcis-20342	65	38	appeared	appear	VERB
fcis-20342	65	39	later	later	ADV
fcis-20342	65	40	on	on	ADV
fcis-20342	65	41	,	,	PUNCT
fcis-20342	65	42	and	and	CCONJ
fcis-20342	65	43	after	after	ADP
fcis-20342	65	44	analyzing	analyze	VERB
fcis-20342	65	45	the	the	DET
fcis-20342	65	46	reasons	reason	NOUN
fcis-20342	65	47	for	for	ADP
fcis-20342	65	48	this	this	PRON
fcis-20342	65	49	the	the	DET
fcis-20342	65	50	researchers	researcher	NOUN
fcis-20342	65	51	concluded	conclude	VERB
fcis-20342	65	52	that	that	SCONJ
fcis-20342	65	53	the	the	DET
fcis-20342	65	54	neural	neural	ADJ
fcis-20342	65	55	coding	code	VERB
fcis-20342	65	56	processes	process	NOUN
fcis-20342	65	57	of	of	ADP
fcis-20342	65	58	individuals	individual	NOUN
fcis-20342	65	59	in	in	ADP
fcis-20342	65	60	the	the	DET
fcis-20342	65	61	japanese	japanese	ADJ
fcis-20342	65	62	and	and	CCONJ
fcis-20342	65	63	french	french	ADJ
fcis-20342	65	64	cultures	culture	NOUN
fcis-20342	65	65	are	be	AUX
fcis-20342	65	66	similar	similar	ADJ
fcis-20342	65	67	,	,	PUNCT
fcis-20342	65	68	but	but	CCONJ
fcis-20342	65	69	since	since	SCONJ
fcis-20342	65	70	the	the	DET
fcis-20342	65	71	japanese	japanese	ADJ
fcis-20342	65	72	culture	culture	NOUN
fcis-20342	65	73	is	be	AUX
fcis-20342	65	74	somehow	somehow	ADV
fcis-20342	65	75	more	more	ADV
fcis-20342	65	76	introspective	introspective	ADJ
fcis-20342	65	77	and	and	CCONJ
fcis-20342	65	78	inhibitory	inhibitory	ADJ
fcis-20342	65	79	the	the	DET
fcis-20342	65	80	phenomenon	phenomenon	NOUN
fcis-20342	65	81	of	of	ADP
fcis-20342	65	82	the	the	DET
fcis-20342	65	83	japanese	japanese	ADJ
fcis-20342	65	84	subjects	subject	NOUN
fcis-20342	65	85	'	'	PART
fcis-20342	65	86	individual	individual	ADJ
fcis-20342	65	87	phenomena	phenomenon	NOUN
fcis-20342	65	88	in	in	ADP
fcis-20342	65	89	the	the	DET
fcis-20342	65	90	experiment	experiment	NOUN
fcis-20342	65	91	may	may	AUX
fcis-20342	65	92	be	be	AUX
fcis-20342	65	93	a	a	DET
fcis-20342	65	94	result	result	NOUN
fcis-20342	65	95	of	of	ADP
fcis-20342	65	96	their	their	PRON
fcis-20342	65	97	emotional	emotional	ADJ
fcis-20342	65	98	expression	expression	NOUN
fcis-20342	65	99	was	be	AUX
fcis-20342	65	100	caused	cause	VERB
fcis-20342	65	101	by	by	ADP
fcis-20342	65	102	being	be	AUX
fcis-20342	65	103	inhibited	inhibit	VERB
fcis-20342	65	104	in	in	ADP
fcis-20342	65	105	the	the	DET
fcis-20342	65	106	culture	culture	NOUN
fcis-20342	66	1	[	[	X
fcis-20342	66	2	17	17	NUM
fcis-20342	66	3	]	]	PUNCT
fcis-20342	66	4	.	.	PUNCT
fcis-20342	67	1	to	to	PART
fcis-20342	67	2	summarize	summarize	VERB
fcis-20342	67	3	,	,	PUNCT
fcis-20342	67	4	different	different	ADJ
fcis-20342	67	5	cultural	cultural	ADJ
fcis-20342	67	6	and	and	CCONJ
fcis-20342	67	7	social	social	ADJ
fcis-20342	67	8	backgrounds	background	NOUN
fcis-20342	67	9	affect	affect	VERB
fcis-20342	67	10	human	human	ADJ
fcis-20342	67	11	reflection	reflection	NOUN
fcis-20342	67	12	of	of	ADP
fcis-20342	67	13	emotional	emotional	ADJ
fcis-20342	67	14	stimuli	stimulus	NOUN
fcis-20342	67	15	.	.	PUNCT
fcis-20342	68	1	in	in	ADP
fcis-20342	68	2	the	the	DET
fcis-20342	68	3	field	field	NOUN
fcis-20342	68	4	of	of	ADP
fcis-20342	68	5	image	image	NOUN
fcis-20342	68	6	sentiment	sentiment	NOUN
fcis-20342	68	7	analysis	analysis	NOUN
fcis-20342	68	8	,	,	PUNCT
fcis-20342	68	9	if	if	SCONJ
fcis-20342	68	10	we	we	PRON
fcis-20342	68	11	want	want	VERB
fcis-20342	68	12	to	to	PART
fcis-20342	68	13	realize	realize	VERB
fcis-20342	68	14	more	more	ADV
fcis-20342	68	15	accurate	accurate	ADJ
fcis-20342	68	16	sentiment	sentiment	NOUN
fcis-20342	68	17	calculation	calculation	NOUN
fcis-20342	68	18	and	and	CCONJ
fcis-20342	68	19	judge	judge	VERB
fcis-20342	68	20	the	the	DET
fcis-20342	68	21	level	level	NOUN
fcis-20342	68	22	of	of	ADP
fcis-20342	68	23	emotions	emotion	NOUN
fcis-20342	68	24	generated	generate	VERB
fcis-20342	68	25	by	by	ADP
fcis-20342	68	26	images	image	NOUN
fcis-20342	68	27	more	more	ADV
fcis-20342	68	28	accurately	accurately	ADV
fcis-20342	68	29	in	in	ADP
fcis-20342	68	30	practical	practical	ADJ
fcis-20342	68	31	applications	application	NOUN
fcis-20342	68	32	,	,	PUNCT
fcis-20342	68	33	we	we	PRON
fcis-20342	68	34	must	must	AUX
fcis-20342	68	35	cross	cross	VERB
fcis-20342	68	36	the	the	DET
fcis-20342	68	37	cultural	cultural	ADJ
fcis-20342	68	38	gap	gap	NOUN
fcis-20342	68	39	.	.	PUNCT
fcis-20342	69	1	2.3	2.3	NUM
fcis-20342	69	2	.	.	PUNCT
fcis-20342	70	1	affective	affective	ADJ
fcis-20342	70	2	image	image	NOUN
fcis-20342	70	3	content	content	NOUN
fcis-20342	70	4	analysis	analysis	NOUN
fcis-20342	70	5	the	the	DET
fcis-20342	70	6	core	core	NOUN
fcis-20342	70	7	of	of	ADP
fcis-20342	70	8	image	image	NOUN
fcis-20342	70	9	sentiment	sentiment	NOUN
fcis-20342	70	10	analysis	analysis	NOUN
fcis-20342	70	11	is	be	AUX
fcis-20342	70	12	how	how	SCONJ
fcis-20342	70	13	to	to	PART
fcis-20342	70	14	extract	extract	VERB
fcis-20342	70	15	the	the	DET
fcis-20342	70	16	sentiment	sentiment	NOUN
fcis-20342	70	17	features	feature	VERB
fcis-20342	70	18	of	of	ADP
fcis-20342	70	19	images	image	NOUN
fcis-20342	70	20	.	.	PUNCT
fcis-20342	71	1	initially	initially	ADV
fcis-20342	71	2	,	,	PUNCT
fcis-20342	71	3	based	base	VERB
fcis-20342	71	4	on	on	ADP
fcis-20342	71	5	the	the	DET
fcis-20342	71	6	advancement	advancement	NOUN
fcis-20342	71	7	of	of	ADP
fcis-20342	71	8	image	image	NOUN
fcis-20342	71	9	recognition	recognition	NOUN
fcis-20342	71	10	technology	technology	NOUN
fcis-20342	71	11	,	,	PUNCT
fcis-20342	71	12	researchers	researcher	NOUN
fcis-20342	71	13	tried	try	VERB
fcis-20342	71	14	to	to	PART
fcis-20342	71	15	use	use	VERB
fcis-20342	71	16	various	various	ADJ
fcis-20342	71	17	types	type	NOUN
fcis-20342	71	18	of	of	ADP
fcis-20342	71	19	basic	basic	ADJ
fcis-20342	71	20	features	feature	NOUN
fcis-20342	71	21	to	to	PART
fcis-20342	71	22	extract	extract	VERB
fcis-20342	71	23	sentiment	sentiment	NOUN
fcis-20342	71	24	information	information	NOUN
fcis-20342	71	25	.	.	PUNCT
fcis-20342	72	1	for	for	ADP
fcis-20342	72	2	example	example	NOUN
fcis-20342	72	3	,	,	PUNCT
fcis-20342	72	4	machajdik	machajdik	PROPN
fcis-20342	72	5	and	and	CCONJ
fcis-20342	72	6	hanbury	hanbury	PROPN
fcis-20342	73	1	[	[	X
fcis-20342	73	2	18	18	NUM
fcis-20342	73	3	]	]	PUNCT
fcis-20342	73	4	in	in	ADP
fcis-20342	73	5	2010	2010	NUM
fcis-20342	73	6	combined	combine	VERB
fcis-20342	73	7	various	various	ADJ
fcis-20342	73	8	features	feature	NOUN
fcis-20342	73	9	such	such	ADJ
fcis-20342	73	10	as	as	ADP
fcis-20342	73	11	color	color	NOUN
fcis-20342	73	12	and	and	CCONJ
fcis-20342	73	13	texture	texture	NOUN
fcis-20342	73	14	;	;	PUNCT
fcis-20342	73	15	lu	lu	PROPN
fcis-20342	73	16	et	et	PROPN
fcis-20342	73	17	al	al	PROPN
fcis-20342	74	1	[	[	X
fcis-20342	74	2	19	19	NUM
fcis-20342	74	3	]	]	PUNCT
fcis-20342	74	4	in	in	ADP
fcis-20342	74	5	2012	2012	NUM
fcis-20342	74	6	explored	explore	VERB
fcis-20342	74	7	how	how	SCONJ
fcis-20342	74	8	visual	visual	ADJ
fcis-20342	74	9	shapes	shape	NOUN
fcis-20342	74	10	affect	affect	VERB
fcis-20342	74	11	the	the	DET
fcis-20342	74	12	emotional	emotional	ADJ
fcis-20342	74	13	expression	expression	NOUN
fcis-20342	74	14	of	of	ADP
fcis-20342	74	15	an	an	DET
fcis-20342	74	16	image	image	NOUN
fcis-20342	74	17	;	;	PUNCT
fcis-20342	74	18	and	and	CCONJ
fcis-20342	74	19	sartori	sartori	NOUN
fcis-20342	74	20	et	et	PROPN
fcis-20342	74	21	al	al	PROPN
fcis-20342	75	1	[	[	X
fcis-20342	75	2	20	20	NUM
fcis-20342	75	3	]	]	PUNCT
fcis-20342	75	4	in	in	ADP
fcis-20342	75	5	2015	2015	NUM
fcis-20342	75	6	analyzed	analyze	VERB
fcis-20342	75	7	the	the	DET
fcis-20342	75	8	association	association	NOUN
fcis-20342	75	9	between	between	ADP
fcis-20342	75	10	different	different	ADJ
fcis-20342	75	11	color	color	NOUN
fcis-20342	75	12	combinations	combination	NOUN
fcis-20342	75	13	in	in	ADP
fcis-20342	75	14	abstract	abstract	ADJ
fcis-20342	75	15	paintings	painting	NOUN
fcis-20342	75	16	and	and	CCONJ
fcis-20342	75	17	emotion	emotion	NOUN
fcis-20342	75	18	from	from	ADP
fcis-20342	75	19	itten	itten	NOUN
fcis-20342	75	20	's	's	PART
fcis-20342	75	21	color	color	NOUN
fcis-20342	75	22	roulette	roulette	NOUN
fcis-20342	75	23	wheel	wheel	NOUN
fcis-20342	75	24	.	.	PUNCT
fcis-20342	76	1	due	due	ADP
fcis-20342	76	2	to	to	ADP
fcis-20342	76	3	the	the	DET
fcis-20342	76	4	cross	cross	ADJ
fcis-20342	76	5	-	-	ADJ
fcis-20342	76	6	domain	domain	ADJ
fcis-20342	76	7	nature	nature	NOUN
fcis-20342	76	8	of	of	ADP
fcis-20342	76	9	image	image	NOUN
fcis-20342	76	10	sentiment	sentiment	NOUN
fcis-20342	76	11	analysis	analysis	NOUN
fcis-20342	76	12	research	research	NOUN
fcis-20342	76	13	,	,	PUNCT
fcis-20342	76	14	the	the	DET
fcis-20342	76	15	underlying	underlie	VERB
fcis-20342	76	16	low	low	ADJ
fcis-20342	76	17	-	-	PUNCT
fcis-20342	76	18	level	level	NOUN
fcis-20342	76	19	visual	visual	ADJ
fcis-20342	76	20	feature	feature	NOUN
fcis-20342	76	21	extraction	extraction	NOUN
fcis-20342	76	22	was	be	AUX
fcis-20342	76	23	relatively	relatively	ADV
fcis-20342	76	24	easy	easy	ADJ
fcis-20342	76	25	to	to	PART
fcis-20342	76	26	translate	translate	VERB
fcis-20342	76	27	from	from	ADP
fcis-20342	76	28	the	the	DET
fcis-20342	76	29	then	then	ADV
fcis-20342	76	30	-	-	PUNCT
fcis-20342	76	31	current	current	ADJ
fcis-20342	76	32	field	field	NOUN
fcis-20342	76	33	of	of	ADP
fcis-20342	76	34	computer	computer	NOUN
fcis-20342	76	35	vision	vision	NOUN
fcis-20342	76	36	,	,	PUNCT
fcis-20342	76	37	but	but	CCONJ
fcis-20342	76	38	at	at	ADP
fcis-20342	76	39	the	the	DET
fcis-20342	76	40	time	time	NOUN
fcis-20342	76	41	,	,	PUNCT
fcis-20342	76	42	there	there	PRON
fcis-20342	76	43	was	be	VERB
fcis-20342	76	44	an	an	DET
fcis-20342	76	45	interpretive	interpretive	ADJ
fcis-20342	76	46	divide	divide	NOUN
fcis-20342	76	47	between	between	ADP
fcis-20342	76	48	computer	computer	NOUN
fcis-20342	76	49	implementations	implementation	NOUN
fcis-20342	76	50	and	and	CCONJ
fcis-20342	76	51	psychological	psychological	ADJ
fcis-20342	76	52	theories	theory	NOUN
fcis-20342	76	53	.	.	PUNCT
fcis-20342	77	1	in	in	ADP
fcis-20342	77	2	psychological	psychological	ADJ
fcis-20342	77	3	theory	theory	NOUN
fcis-20342	77	4	,	,	PUNCT
fcis-20342	77	5	low	low	ADJ
fcis-20342	77	6	-	-	PUNCT
fcis-20342	77	7	level	level	NOUN
fcis-20342	77	8	features	feature	NOUN
fcis-20342	77	9	such	such	ADJ
fcis-20342	77	10	as	as	ADP
fcis-20342	77	11	patterns	pattern	NOUN
fcis-20342	77	12	,	,	PUNCT
fcis-20342	77	13	colors	color	NOUN
fcis-20342	77	14	,	,	PUNCT
fcis-20342	77	15	shapes	shape	NOUN
fcis-20342	77	16	,	,	PUNCT
fcis-20342	77	17	and	and	CCONJ
fcis-20342	77	18	other	other	ADJ
fcis-20342	77	19	low	low	ADJ
fcis-20342	77	20	-	-	PUNCT
fcis-20342	77	21	level	level	NOUN
fcis-20342	77	22	features	feature	NOUN
fcis-20342	77	23	are	be	AUX
fcis-20342	77	24	difficult	difficult	ADJ
fcis-20342	77	25	to	to	PART
fcis-20342	77	26	correlate	correlate	VERB
fcis-20342	77	27	to	to	ADP
fcis-20342	77	28	human	human	ADJ
fcis-20342	77	29	emotional	emotional	ADJ
fcis-20342	77	30	feedback	feedback	NOUN
fcis-20342	77	31	on	on	ADP
fcis-20342	77	32	images	image	NOUN
fcis-20342	77	33	and	and	CCONJ
fcis-20342	77	34	are	be	AUX
fcis-20342	77	35	difficult	difficult	ADJ
fcis-20342	77	36	to	to	PART
fcis-20342	77	37	explain	explain	VERB
fcis-20342	77	38	at	at	ADP
fcis-20342	77	39	a	a	DET
fcis-20342	77	40	theoretical	theoretical	ADJ
fcis-20342	77	41	level	level	NOUN
fcis-20342	77	42	.	.	PUNCT
fcis-20342	78	1	in	in	ADP
fcis-20342	78	2	contrast	contrast	NOUN
fcis-20342	78	3	,	,	PUNCT
fcis-20342	78	4	mid	mid	ADJ
fcis-20342	78	5	-	-	ADJ
fcis-20342	78	6	level	level	ADJ
fcis-20342	78	7	emotional	emotional	ADJ
fcis-20342	78	8	features	feature	NOUN
fcis-20342	78	9	,	,	PUNCT
fcis-20342	78	10	such	such	ADJ
fcis-20342	78	11	as	as	ADP
fcis-20342	78	12	expressions	expression	NOUN
fcis-20342	78	13	of	of	ADP
fcis-20342	78	14	human	human	ADJ
fcis-20342	78	15	faces	face	NOUN
fcis-20342	78	16	in	in	ADP
fcis-20342	78	17	images	image	NOUN
fcis-20342	78	18	,	,	PUNCT
fcis-20342	78	19	are	be	AUX
fcis-20342	78	20	more	more	ADV
fcis-20342	78	21	theoretically	theoretically	ADV
fcis-20342	78	22	explainable	explainable	ADJ
fcis-20342	78	23	,	,	PUNCT
fcis-20342	78	24	and	and	CCONJ
fcis-20342	78	25	this	this	DET
fcis-20342	78	26	information	information	NOUN
fcis-20342	78	27	stimulates	stimulate	VERB
fcis-20342	78	28	human	human	ADJ
fcis-20342	78	29	emotional	emotional	ADJ
fcis-20342	78	30	mood	mood	NOUN
fcis-20342	78	31	more	more	ADV
fcis-20342	78	32	strongly	strongly	ADV
fcis-20342	78	33	.	.	PUNCT
fcis-20342	79	1	on	on	ADP
fcis-20342	79	2	top	top	NOUN
fcis-20342	79	3	of	of	ADP
fcis-20342	79	4	these	these	DET
fcis-20342	79	5	mid	mid	ADJ
fcis-20342	79	6	-	-	ADJ
fcis-20342	79	7	level	level	ADJ
fcis-20342	79	8	features	feature	NOUN
fcis-20342	79	9	,	,	PUNCT
fcis-20342	79	10	high	high	ADJ
fcis-20342	79	11	-	-	PUNCT
fcis-20342	79	12	level	level	NOUN
fcis-20342	79	13	features	feature	NOUN
fcis-20342	79	14	provide	provide	VERB
fcis-20342	79	15	information	information	NOUN
fcis-20342	79	16	that	that	PRON
fcis-20342	79	17	is	be	AUX
fcis-20342	79	18	more	more	ADV
fcis-20342	79	19	intuitive	intuitive	ADJ
fcis-20342	79	20	and	and	CCONJ
fcis-20342	79	21	stimulates	stimulate	VERB
fcis-20342	79	22	emotional	emotional	ADJ
fcis-20342	79	23	responses	response	NOUN
fcis-20342	79	24	.	.	PUNCT
fcis-20342	80	1	the	the	DET
fcis-20342	80	2	most	most	ADV
fcis-20342	80	3	representative	representative	ADJ
fcis-20342	80	4	example	example	NOUN
fcis-20342	80	5	is	be	AUX
fcis-20342	80	6	sentibank	sentibank	NOUN
fcis-20342	81	1	[	[	X
fcis-20342	81	2	21	21	NUM
fcis-20342	81	3	]	]	X
fcis-20342	81	4	,	,	PUNCT
fcis-20342	81	5	a	a	DET
fcis-20342	81	6	large	large	ADJ
fcis-20342	81	7	visual	visual	ADJ
fcis-20342	81	8	-	-	PUNCT
fcis-20342	81	9	emotional	emotional	ADJ
fcis-20342	81	10	knowledge	knowledge	NOUN
fcis-20342	81	11	base	base	NOUN
fcis-20342	81	12	containing	contain	VERB
fcis-20342	81	13	1200	1200	NUM
fcis-20342	81	14	concepts	concept	NOUN
fcis-20342	81	15	,	,	PUNCT
fcis-20342	81	16	each	each	PRON
fcis-20342	81	17	of	of	ADP
fcis-20342	81	18	which	which	PRON
fcis-20342	81	19	consists	consist	VERB
fcis-20342	81	20	of	of	ADP
fcis-20342	81	21	a	a	DET
fcis-20342	81	22	pair	pair	NOUN
fcis-20342	81	23	of	of	ADP
fcis-20342	81	24	adjectives	adjective	NOUN
fcis-20342	81	25	and	and	CCONJ
fcis-20342	81	26	nouns	noun	NOUN
fcis-20342	81	27	,	,	PUNCT
fcis-20342	81	28	e.g.	e.g.	ADV
fcis-20342	81	29	,	,	PUNCT
fcis-20342	81	30	"	"	PUNCT
fcis-20342	81	31	cute	cute	ADJ
fcis-20342	81	32	kid	kid	NOUN
fcis-20342	81	33	"	"	PUNCT
fcis-20342	81	34	,	,	PUNCT
fcis-20342	81	35	which	which	PRON
fcis-20342	81	36	significantly	significantly	ADV
fcis-20342	81	37	increases	increase	VERB
fcis-20342	81	38	semantic	semantic	ADJ
fcis-20342	81	39	richness	richness	NOUN
fcis-20342	81	40	.	.	PUNCT
fcis-20342	82	1	in	in	ADP
fcis-20342	82	2	deep	deep	ADJ
fcis-20342	82	3	learning	learning	NOUN
fcis-20342	82	4	-	-	PUNCT
fcis-20342	82	5	based	base	VERB
fcis-20342	82	6	networks	network	NOUN
fcis-20342	82	7	,	,	PUNCT
fcis-20342	82	8	there	there	PRON
fcis-20342	82	9	are	be	VERB
fcis-20342	82	10	two	two	NUM
fcis-20342	82	11	types	type	NOUN
fcis-20342	82	12	of	of	ADP
fcis-20342	82	13	feature	feature	NOUN
fcis-20342	82	14	extraction	extraction	NOUN
fcis-20342	82	15	:	:	PUNCT
fcis-20342	82	16	global	global	ADJ
fcis-20342	82	17	features	feature	NOUN
fcis-20342	82	18	and	and	CCONJ
fcis-20342	82	19	local	local	ADJ
fcis-20342	82	20	features	feature	NOUN
fcis-20342	82	21	.	.	PUNCT
fcis-20342	83	1	global	global	ADJ
fcis-20342	83	2	features	feature	NOUN
fcis-20342	83	3	focus	focus	VERB
fcis-20342	83	4	on	on	ADP
fcis-20342	83	5	the	the	DET
fcis-20342	83	6	whole	whole	ADJ
fcis-20342	83	7	world	world	NOUN
fcis-20342	83	8	,	,	PUNCT
fcis-20342	83	9	do	do	AUX
fcis-20342	83	10	not	not	PART
fcis-20342	83	11	distinguish	distinguish	VERB
fcis-20342	83	12	between	between	ADP
fcis-20342	83	13	different	different	ADJ
fcis-20342	83	14	regions	region	NOUN
fcis-20342	83	15	in	in	ADP
fcis-20342	83	16	the	the	DET
fcis-20342	83	17	image	image	NOUN
fcis-20342	83	18	,	,	PUNCT
fcis-20342	83	19	and	and	CCONJ
fcis-20342	83	20	are	be	AUX
fcis-20342	83	21	processed	process	VERB
fcis-20342	83	22	in	in	ADP
fcis-20342	83	23	a	a	DET
fcis-20342	83	24	uniform	uniform	NOUN
fcis-20342	83	25	and	and	CCONJ
fcis-20342	83	26	consistent	consistent	ADJ
fcis-20342	83	27	manner	manner	NOUN
fcis-20342	83	28	;	;	PUNCT
fcis-20342	83	29	while	while	SCONJ
fcis-20342	83	30	through	through	ADP
fcis-20342	83	31	the	the	DET
fcis-20342	83	32	results	result	NOUN
fcis-20342	83	33	of	of	ADP
fcis-20342	83	34	the	the	DET
fcis-20342	83	35	study	study	NOUN
fcis-20342	83	36	of	of	ADP
fcis-20342	83	37	emotional	emotional	ADJ
fcis-20342	83	38	regions	region	NOUN
fcis-20342	83	39	in	in	ADP
fcis-20342	83	40	the	the	DET
fcis-20342	83	41	field	field	NOUN
fcis-20342	83	42	of	of	ADP
fcis-20342	83	43	psychology	psychology	NOUN
fcis-20342	83	44	,	,	PUNCT
fcis-20342	83	45	another	another	DET
fcis-20342	83	46	type	type	NOUN
fcis-20342	83	47	of	of	ADP
fcis-20342	83	48	local	local	ADJ
fcis-20342	83	49	feature	feature	NOUN
fcis-20342	83	50	method	method	NOUN
fcis-20342	83	51	is	be	AUX
fcis-20342	83	52	based	base	VERB
fcis-20342	83	53	on	on	ADP
fcis-20342	83	54	the	the	DET
fcis-20342	83	55	extraction	extraction	NOUN
fcis-20342	83	56	of	of	ADP
fcis-20342	83	57	local	local	ADJ
fcis-20342	83	58	key	key	ADJ
fcis-20342	83	59	features	feature	NOUN
fcis-20342	83	60	,	,	PUNCT
fcis-20342	83	61	such	such	ADJ
fcis-20342	83	62	as	as	ADP
fcis-20342	83	63	human	human	ADJ
fcis-20342	83	64	beings	being	NOUN
fcis-20342	83	65	in	in	ADP
fcis-20342	83	66	a	a	DET
fcis-20342	83	67	complex	complex	ADJ
fcis-20342	83	68	scene	scene	NOUN
fcis-20342	83	69	,	,	PUNCT
fcis-20342	83	70	as	as	ADV
fcis-20342	83	71	well	well	ADV
fcis-20342	83	72	as	as	ADP
fcis-20342	83	73	the	the	DET
fcis-20342	83	74	analysis	analysis	NOUN
fcis-20342	83	75	of	of	ADP
fcis-20342	83	76	human	human	ADJ
fcis-20342	83	77	facial	facial	ADJ
fcis-20342	83	78	expressions	expression	NOUN
fcis-20342	83	79	and	and	CCONJ
fcis-20342	83	80	movements	movement	NOUN
fcis-20342	83	81	.	.	PUNCT
fcis-20342	84	1	since	since	SCONJ
fcis-20342	84	2	there	there	PRON
fcis-20342	84	3	is	be	VERB
fcis-20342	84	4	more	more	ADV
fcis-20342	84	5	relative	relative	ADJ
fcis-20342	84	6	emotional	emotional	ADJ
fcis-20342	84	7	information	information	NOUN
fcis-20342	84	8	in	in	ADP
fcis-20342	84	9	local	local	ADJ
fcis-20342	84	10	features	feature	NOUN
fcis-20342	84	11	,	,	PUNCT
fcis-20342	84	12	many	many	ADJ
fcis-20342	84	13	researchers	researcher	NOUN
fcis-20342	84	14	are	be	AUX
fcis-20342	84	15	working	work	VERB
fcis-20342	84	16	intensively	intensively	ADV
fcis-20342	84	17	on	on	ADP
fcis-20342	84	18	this	this	DET
fcis-20342	84	19	feature	feature	NOUN
fcis-20342	84	20	.	.	PUNCT
fcis-20342	85	1	pdanet	pdanet	PROPN
fcis-20342	85	2	is	be	AUX
fcis-20342	85	3	leading	lead	VERB
fcis-20342	85	4	the	the	DET
fcis-20342	85	5	way	way	NOUN
fcis-20342	85	6	in	in	ADP
fcis-20342	85	7	regression	regression	NOUN
fcis-20342	85	8	tasks	task	NOUN
fcis-20342	85	9	based	base	VERB
fcis-20342	85	10	on	on	ADP
fcis-20342	85	11	channel	channel	NOUN
fcis-20342	85	12	and	and	CCONJ
fcis-20342	85	13	spatial	spatial	ADJ
fcis-20342	85	14	attention	attention	NOUN
fcis-20342	85	15	.	.	PUNCT
fcis-20342	86	1	2.4	2.4	NUM
fcis-20342	86	2	.	.	PUNCT
fcis-20342	86	3	image	image	NOUN
fcis-20342	86	4	sentiment	sentiment	NOUN
fcis-20342	86	5	dataset	dataset	VERB
fcis-20342	86	6	in	in	ADP
fcis-20342	86	7	the	the	DET
fcis-20342	86	8	field	field	NOUN
fcis-20342	86	9	of	of	ADP
fcis-20342	86	10	image	image	NOUN
fcis-20342	86	11	sentiment	sentiment	NOUN
fcis-20342	86	12	analysis	analysis	NOUN
fcis-20342	86	13	,	,	PUNCT
fcis-20342	86	14	most	most	ADJ
fcis-20342	86	15	of	of	ADP
fcis-20342	86	16	the	the	DET
fcis-20342	86	17	initial	initial	ADJ
fcis-20342	86	18	studies	study	NOUN
fcis-20342	86	19	were	be	AUX
fcis-20342	86	20	based	base	VERB
fcis-20342	86	21	on	on	ADP
fcis-20342	86	22	datasets	dataset	NOUN
fcis-20342	86	23	and	and	CCONJ
fcis-20342	86	24	theories	theory	NOUN
fcis-20342	86	25	from	from	ADP
fcis-20342	86	26	the	the	DET
fcis-20342	86	27	fields	field	NOUN
fcis-20342	86	28	of	of	ADP
fcis-20342	86	29	psychology	psychology	NOUN
fcis-20342	86	30	or	or	CCONJ
fcis-20342	86	31	art	art	NOUN
fcis-20342	86	32	,	,	PUNCT
fcis-20342	86	33	and	and	CCONJ
fcis-20342	86	34	the	the	DET
fcis-20342	86	35	datasets	dataset	NOUN
fcis-20342	86	36	used	use	VERB
fcis-20342	86	37	were	be	AUX
fcis-20342	86	38	small	small	ADJ
fcis-20342	86	39	due	due	ADJ
fcis-20342	86	40	to	to	ADP
fcis-20342	86	41	factors	factor	NOUN
fcis-20342	86	42	in	in	ADP
fcis-20342	86	43	the	the	DET
fcis-20342	86	44	field	field	NOUN
fcis-20342	86	45	itself	itself	PRON
fcis-20342	86	46	,	,	PUNCT
fcis-20342	86	47	such	such	ADJ
fcis-20342	86	48	as	as	ADP
fcis-20342	86	49	iaps	iap	NOUN
fcis-20342	87	1	[	[	X
fcis-20342	87	2	22	22	NUM
fcis-20342	87	3	]	]	PUNCT
fcis-20342	87	4	with	with	ADP
fcis-20342	87	5	1152	1152	NUM
fcis-20342	87	6	commonly	commonly	ADV
fcis-20342	87	7	used	use	VERB
fcis-20342	87	8	data	datum	NOUN
fcis-20342	87	9	and	and	CCONJ
fcis-20342	87	10	less	less	ADJ
fcis-20342	87	11	than	than	ADP
fcis-20342	87	12	1000	1000	NUM
fcis-20342	87	13	in	in	ADP
fcis-20342	87	14	the	the	DET
fcis-20342	87	15	early	early	ADJ
fcis-20342	87	16	years	year	NOUN
fcis-20342	87	17	;	;	PUNCT
fcis-20342	87	18	in	in	ADP
fcis-20342	87	19	addition	addition	NOUN
fcis-20342	87	20	,	,	PUNCT
fcis-20342	87	21	there	there	PRON
fcis-20342	87	22	are	be	VERB
fcis-20342	87	23	,	,	PUNCT
fcis-20342	87	24	for	for	ADP
fcis-20342	87	25	example	example	NOUN
fcis-20342	87	26	,	,	PUNCT
fcis-20342	87	27	abstract	abstract	ADJ
fcis-20342	87	28	[	[	X
fcis-20342	87	29	23	23	NUM
fcis-20342	87	30	]	]	PUNCT
fcis-20342	87	31	,	,	PUNCT
fcis-20342	87	32	gaped	gape	VERB
fcis-20342	87	33	[	[	X
fcis-20342	87	34	24	24	NUM
fcis-20342	87	35	]	]	PUNCT
fcis-20342	87	36	,	,	PUNCT
fcis-20342	87	37	and	and	CCONJ
fcis-20342	87	38	mart	mart	PROPN
fcis-20342	88	1	[	[	X
fcis-20342	88	2	25	25	NUM
fcis-20342	88	3	]	]	PUNCT
fcis-20342	88	4	which	which	PRON
fcis-20342	88	5	are	be	AUX
fcis-20342	88	6	datasets	dataset	NOUN
fcis-20342	88	7	for	for	ADP
fcis-20342	88	8	different	different	ADJ
fcis-20342	88	9	domains	domain	NOUN
fcis-20342	88	10	,	,	PUNCT
fcis-20342	88	11	etc	etc	X
fcis-20342	88	12	.	.	X
fcis-20342	89	1	in	in	ADP
fcis-20342	89	2	the	the	DET
fcis-20342	89	3	early	early	ADJ
fcis-20342	89	4	days	day	NOUN
fcis-20342	89	5	,	,	PUNCT
fcis-20342	89	6	among	among	ADP
fcis-20342	89	7	them	they	PRON
fcis-20342	89	8	,	,	PUNCT
fcis-20342	89	9	iaps	iap	NOUN
fcis-20342	89	10	was	be	AUX
fcis-20342	89	11	the	the	DET
fcis-20342	89	12	most	most	ADV
fcis-20342	89	13	commonly	commonly	ADV
fcis-20342	89	14	used	use	VERB
fcis-20342	89	15	dataset	dataset	NOUN
fcis-20342	89	16	for	for	ADP
fcis-20342	89	17	image	image	NOUN
fcis-20342	89	18	emotion	emotion	NOUN
fcis-20342	89	19	stimuli	stimulus	NOUN
fcis-20342	89	20	,	,	PUNCT
fcis-20342	89	21	in	in	ADP
fcis-20342	89	22	addition	addition	NOUN
fcis-20342	89	23	to	to	ADP
fcis-20342	89	24	its	its	PRON
fcis-20342	89	25	subset	subset	NOUN
fcis-20342	89	26	iapsa	iapsa	NOUN
fcis-20342	89	27	[	[	X
fcis-20342	89	28	26	26	NUM
fcis-20342	89	29	]	]	PUNCT
fcis-20342	89	30	labeled	label	VERB
fcis-20342	89	31	by	by	ADP
fcis-20342	89	32	20	20	NUM
fcis-20342	89	33	undergraduate	undergraduate	NOUN
fcis-20342	89	34	subjects	subject	NOUN
fcis-20342	89	35	with	with	ADP
fcis-20342	89	36	discrete	discrete	ADJ
fcis-20342	89	37	emotion	emotion	NOUN
fcis-20342	89	38	categories	category	NOUN
fcis-20342	89	39	.	.	PUNCT
fcis-20342	90	1	with	with	ADP
fcis-20342	90	2	the	the	DET
fcis-20342	90	3	development	development	NOUN
fcis-20342	90	4	of	of	ADP
fcis-20342	90	5	the	the	DET
fcis-20342	90	6	internet	internet	NOUN
fcis-20342	90	7	,	,	PUNCT
fcis-20342	90	8	the	the	DET
fcis-20342	90	9	number	number	NOUN
fcis-20342	90	10	of	of	ADP
fcis-20342	90	11	active	active	ADJ
fcis-20342	90	12	users	user	NOUN
fcis-20342	90	13	of	of	ADP
fcis-20342	90	14	social	social	ADJ
fcis-20342	90	15	media	medium	NOUN
fcis-20342	90	16	,	,	PUNCT
fcis-20342	90	17	social	social	ADJ
fcis-20342	90	18	networking	networking	NOUN
fcis-20342	90	19	sites	site	NOUN
fcis-20342	90	20	,	,	PUNCT
fcis-20342	90	21	etc	etc	X
fcis-20342	90	22	.	.	X
fcis-20342	90	23	with	with	ADP
fcis-20342	90	24	related	related	ADJ
fcis-20342	90	25	data	datum	NOUN
fcis-20342	90	26	is	be	AUX
fcis-20342	90	27	increasing	increase	VERB
fcis-20342	90	28	,	,	PUNCT
fcis-20342	90	29	and	and	CCONJ
fcis-20342	90	30	some	some	DET
fcis-20342	90	31	researchers	researcher	NOUN
fcis-20342	90	32	have	have	AUX
fcis-20342	90	33	collected	collect	VERB
fcis-20342	90	34	large	large	ADJ
fcis-20342	90	35	-	-	PUNCT
fcis-20342	90	36	scale	scale	NOUN
fcis-20342	90	37	datasets	dataset	NOUN
fcis-20342	90	38	in	in	ADP
fcis-20342	90	39	social	social	ADJ
fcis-20342	90	40	networks	network	NOUN
fcis-20342	90	41	in	in	ADP
fcis-20342	90	42	the	the	DET
fcis-20342	90	43	form	form	NOUN
fcis-20342	90	44	of	of	ADP
fcis-20342	90	45	web	web	NOUN
fcis-20342	90	46	crawlers	crawler	NOUN
fcis-20342	90	47	,	,	PUNCT
fcis-20342	90	48	such	such	ADJ
fcis-20342	90	49	as	as	ADP
fcis-20342	90	50	fi	fi	NOUN
fcis-20342	90	51	[	[	X
fcis-20342	90	52	27	27	NUM
fcis-20342	90	53	]	]	PUNCT
fcis-20342	90	54	,	,	PUNCT
fcis-20342	90	55	vso	vso	PROPN
fcis-20342	91	1	[	[	X
fcis-20342	91	2	28	28	NUM
fcis-20342	91	3	]	]	PUNCT
fcis-20342	91	4	,	,	PUNCT
fcis-20342	91	5	emotion6	emotion6	X
fcis-20342	92	1	[	[	X
fcis-20342	92	2	29	29	NUM
fcis-20342	92	3	]	]	PUNCT
fcis-20342	92	4	,	,	PUNCT
fcis-20342	92	5	t4sa	t4sa	PUNCT
fcis-20342	93	1	[	[	X
fcis-20342	93	2	30	30	NUM
fcis-20342	93	3	]	]	PUNCT
fcis-20342	93	4	,	,	PUNCT
fcis-20342	93	5	iesn	iesn	NOUN
fcis-20342	93	6	[	[	X
fcis-20342	93	7	31	31	NUM
fcis-20342	93	8	]	]	PUNCT
fcis-20342	93	9	and	and	CCONJ
fcis-20342	93	10	emoset	emoset	VERB
fcis-20342	94	1	[	[	X
fcis-20342	94	2	32	32	NUM
fcis-20342	94	3	]	]	PUNCT
fcis-20342	94	4	.	.	PUNCT
fcis-20342	95	1	figure	figure	NOUN
fcis-20342	95	2	3	3	NUM
fcis-20342	95	3	.	.	PUNCT
fcis-20342	95	4	plutchik	plutchik	PROPN
fcis-20342	95	5	's	's	PART
fcis-20342	95	6	emotional	emotional	ADJ
fcis-20342	95	7	roulette	roulette	NOUN
fcis-20342	95	8	wheel	wheel	NOUN
fcis-20342	95	9	26	26	NUM
fcis-20342	95	10	the	the	DET
fcis-20342	95	11	datasets	dataset	NOUN
fcis-20342	95	12	compiled	compile	VERB
fcis-20342	95	13	by	by	ADP
fcis-20342	95	14	the	the	DET
fcis-20342	95	15	aica	aica	PROPN
fcis-20342	95	16	field	field	NOUN
fcis-20342	95	17	in	in	ADP
fcis-20342	95	18	recent	recent	ADJ
fcis-20342	95	19	years	year	NOUN
fcis-20342	95	20	have	have	AUX
fcis-20342	95	21	shown	show	VERB
fcis-20342	95	22	a	a	DET
fcis-20342	95	23	clear	clear	ADJ
fcis-20342	95	24	trend	trend	NOUN
fcis-20342	95	25	of	of	ADP
fcis-20342	95	26	increasing	increase	VERB
fcis-20342	95	27	dataset	dataset	NOUN
fcis-20342	95	28	capacity	capacity	NOUN
fcis-20342	95	29	and	and	CCONJ
fcis-20342	95	30	labeling	labeling	NOUN
fcis-20342	95	31	types	type	NOUN
fcis-20342	95	32	,	,	PUNCT
fcis-20342	95	33	with	with	ADP
fcis-20342	95	34	the	the	DET
fcis-20342	95	35	expectation	expectation	NOUN
fcis-20342	95	36	of	of	ADP
fcis-20342	95	37	compatibility	compatibility	NOUN
fcis-20342	95	38	with	with	ADP
fcis-20342	95	39	more	more	ADJ
fcis-20342	95	40	affective	affective	ADJ
fcis-20342	95	41	models	model	NOUN
fcis-20342	95	42	,	,	PUNCT
fcis-20342	95	43	while	while	SCONJ
fcis-20342	95	44	the	the	DET
fcis-20342	95	45	trend	trend	NOUN
fcis-20342	95	46	of	of	ADP
fcis-20342	95	47	collecting	collect	VERB
fcis-20342	95	48	based	base	VERB
fcis-20342	95	49	on	on	ADP
fcis-20342	95	50	social	social	ADJ
fcis-20342	95	51	networking	networking	NOUN
fcis-20342	95	52	sites	site	NOUN
fcis-20342	95	53	and	and	CCONJ
fcis-20342	95	54	picture	picture	NOUN
fcis-20342	95	55	sites	site	NOUN
fcis-20342	95	56	has	have	AUX
fcis-20342	95	57	become	become	VERB
fcis-20342	95	58	more	more	ADV
fcis-20342	95	59	and	and	CCONJ
fcis-20342	95	60	more	more	ADV
fcis-20342	95	61	obvious	obvious	ADJ
fcis-20342	95	62	,	,	PUNCT
fcis-20342	95	63	which	which	PRON
fcis-20342	95	64	indicates	indicate	VERB
fcis-20342	95	65	that	that	SCONJ
fcis-20342	95	66	researchers	researcher	NOUN
fcis-20342	95	67	have	have	VERB
fcis-20342	95	68	high	high	ADJ
fcis-20342	95	69	expectations	expectation	NOUN
fcis-20342	95	70	for	for	ADP
fcis-20342	95	71	the	the	DET
fcis-20342	95	72	practical	practical	ADJ
fcis-20342	95	73	application	application	NOUN
fcis-20342	95	74	of	of	ADP
fcis-20342	95	75	the	the	DET
fcis-20342	95	76	research	research	NOUN
fcis-20342	95	77	results	result	NOUN
fcis-20342	95	78	in	in	ADP
fcis-20342	95	79	the	the	DET
fcis-20342	95	80	aica	aica	PROPN
fcis-20342	95	81	field	field	NOUN
fcis-20342	95	82	.	.	PUNCT
fcis-20342	96	1	compared	compare	VERB
fcis-20342	96	2	with	with	ADP
fcis-20342	96	3	the	the	DET
fcis-20342	96	4	field	field	NOUN
fcis-20342	96	5	of	of	ADP
fcis-20342	96	6	psychology	psychology	NOUN
fcis-20342	96	7	,	,	PUNCT
fcis-20342	96	8	the	the	DET
fcis-20342	96	9	data	data	NOUN
fcis-20342	96	10	collection	collection	NOUN
fcis-20342	96	11	and	and	CCONJ
fcis-20342	96	12	labeling	labeling	NOUN
fcis-20342	96	13	of	of	ADP
fcis-20342	96	14	the	the	DET
fcis-20342	96	15	aica	aica	PROPN
fcis-20342	96	16	domain	domain	NOUN
fcis-20342	96	17	dataset	dataset	NOUN
fcis-20342	96	18	is	be	AUX
fcis-20342	96	19	obviously	obviously	ADV
fcis-20342	96	20	not	not	PART
fcis-20342	96	21	rigorous	rigorous	ADJ
fcis-20342	96	22	enough	enough	ADV
fcis-20342	96	23	to	to	PART
fcis-20342	96	24	be	be	AUX
fcis-20342	96	25	applied	apply	VERB
fcis-20342	96	26	cross	cross	ADJ
fcis-20342	96	27	-	-	NOUN
fcis-20342	96	28	domain	domain	NOUN
fcis-20342	96	29	to	to	ADP
fcis-20342	96	30	psychological	psychological	ADJ
fcis-20342	96	31	emotion	emotion	NOUN
fcis-20342	96	32	stimuli	stimulus	NOUN
fcis-20342	96	33	,	,	PUNCT
fcis-20342	96	34	and	and	CCONJ
fcis-20342	96	35	is	be	AUX
fcis-20342	96	36	not	not	PART
fcis-20342	96	37	comparable	comparable	ADJ
fcis-20342	96	38	to	to	ADP
fcis-20342	96	39	the	the	DET
fcis-20342	96	40	scientific	scientific	ADJ
fcis-20342	96	41	degree	degree	NOUN
fcis-20342	96	42	and	and	CCONJ
fcis-20342	96	43	consistency	consistency	NOUN
fcis-20342	96	44	level	level	NOUN
fcis-20342	96	45	of	of	ADP
fcis-20342	96	46	the	the	DET
fcis-20342	96	47	experimental	experimental	ADJ
fcis-20342	96	48	process	process	NOUN
fcis-20342	96	49	and	and	CCONJ
fcis-20342	96	50	materials	material	NOUN
fcis-20342	96	51	used	use	VERB
fcis-20342	96	52	in	in	ADP
fcis-20342	96	53	iaps	iap	NOUN
fcis-20342	96	54	.	.	PUNCT
fcis-20342	97	1	in	in	ADP
fcis-20342	97	2	addition	addition	NOUN
fcis-20342	97	3	,	,	PUNCT
fcis-20342	97	4	the	the	DET
fcis-20342	97	5	data	data	NOUN
fcis-20342	97	6	collection	collection	NOUN
fcis-20342	97	7	direction	direction	NOUN
fcis-20342	97	8	of	of	ADP
fcis-20342	97	9	aica	aica	PROPN
fcis-20342	97	10	dataset	dataset	NOUN
fcis-20342	97	11	is	be	AUX
fcis-20342	97	12	basically	basically	ADV
fcis-20342	97	13	based	base	VERB
fcis-20342	97	14	on	on	ADP
fcis-20342	97	15	the	the	DET
fcis-20342	97	16	internationalized	internationalized	ADJ
fcis-20342	97	17	environment	environment	NOUN
fcis-20342	97	18	,	,	PUNCT
fcis-20342	97	19	mainly	mainly	ADV
fcis-20342	97	20	on	on	ADP
fcis-20342	97	21	twitter	twitter	NOUN
fcis-20342	97	22	and	and	CCONJ
fcis-20342	97	23	flickr	flickr	PROPN
fcis-20342	97	24	,	,	PUNCT
fcis-20342	97	25	and	and	CCONJ
fcis-20342	97	26	the	the	DET
fcis-20342	97	27	picture	picture	NOUN
fcis-20342	97	28	data	datum	NOUN
fcis-20342	97	29	itself	itself	PRON
fcis-20342	97	30	is	be	AUX
fcis-20342	97	31	weakly	weakly	ADV
fcis-20342	97	32	related	related	ADJ
fcis-20342	97	33	to	to	ADP
fcis-20342	97	34	the	the	DET
fcis-20342	97	35	chinese	chinese	ADJ
fcis-20342	97	36	localization	localization	NOUN
fcis-20342	97	37	,	,	PUNCT
fcis-20342	97	38	as	as	SCONJ
fcis-20342	97	39	shown	show	VERB
fcis-20342	97	40	in	in	ADP
fcis-20342	97	41	figure	figure	NOUN
fcis-20342	97	42	3	3	NUM
fcis-20342	97	43	.	.	PUNCT
fcis-20342	98	1	below	below	ADV
fcis-20342	98	2	,	,	PUNCT
fcis-20342	98	3	the	the	DET
fcis-20342	98	4	pictures	picture	NOUN
fcis-20342	98	5	in	in	ADP
fcis-20342	98	6	several	several	ADJ
fcis-20342	98	7	typical	typical	ADJ
fcis-20342	98	8	datasets	dataset	NOUN
fcis-20342	98	9	are	be	AUX
fcis-20342	98	10	difficult	difficult	ADJ
fcis-20342	98	11	for	for	SCONJ
fcis-20342	98	12	chinese	chinese	ADJ
fcis-20342	98	13	people	people	NOUN
fcis-20342	98	14	to	to	PART
fcis-20342	98	15	experience	experience	VERB
fcis-20342	98	16	the	the	DET
fcis-20342	98	17	emotions	emotion	NOUN
fcis-20342	98	18	.	.	PUNCT
fcis-20342	99	1	as	as	ADP
fcis-20342	99	2	for	for	ADP
fcis-20342	99	3	the	the	DET
fcis-20342	99	4	annotation	annotation	NOUN
fcis-20342	99	5	of	of	ADP
fcis-20342	99	6	the	the	DET
fcis-20342	99	7	data	datum	NOUN
fcis-20342	99	8	,	,	PUNCT
fcis-20342	99	9	some	some	DET
fcis-20342	99	10	datasets	dataset	NOUN
fcis-20342	99	11	explicitly	explicitly	ADV
fcis-20342	99	12	state	state	VERB
fcis-20342	99	13	that	that	SCONJ
fcis-20342	99	14	the	the	DET
fcis-20342	99	15	annotation	annotation	NOUN
fcis-20342	99	16	was	be	AUX
fcis-20342	99	17	performed	perform	VERB
fcis-20342	99	18	by	by	ADP
fcis-20342	99	19	amt	amt	PROPN
fcis-20342	99	20	(	(	PUNCT
fcis-20342	99	21	amazon	amazon	PROPN
fcis-20342	99	22	mechanical	mechanical	ADJ
fcis-20342	99	23	turk	turk	PROPN
fcis-20342	99	24	)	)	PUNCT
fcis-20342	99	25	,	,	PUNCT
fcis-20342	99	26	while	while	SCONJ
fcis-20342	99	27	some	some	DET
fcis-20342	99	28	datasets	dataset	NOUN
fcis-20342	99	29	do	do	AUX
fcis-20342	99	30	not	not	PART
fcis-20342	99	31	specify	specify	VERB
fcis-20342	99	32	the	the	DET
fcis-20342	99	33	identity	identity	NOUN
fcis-20342	99	34	of	of	ADP
fcis-20342	99	35	the	the	DET
fcis-20342	99	36	annotator	annotator	NOUN
fcis-20342	99	37	.	.	PUNCT
fcis-20342	100	1	but	but	CCONJ
fcis-20342	100	2	on	on	ADP
fcis-20342	100	3	the	the	DET
fcis-20342	100	4	other	other	ADJ
fcis-20342	100	5	hand	hand	NOUN
fcis-20342	100	6	,	,	PUNCT
fcis-20342	100	7	for	for	ADP
fcis-20342	100	8	an	an	DET
fcis-20342	100	9	environment	environment	NOUN
fcis-20342	100	10	like	like	ADP
fcis-20342	100	11	china	china	PROPN
fcis-20342	100	12	,	,	PUNCT
fcis-20342	100	13	which	which	PRON
fcis-20342	100	14	is	be	AUX
fcis-20342	100	15	culturally	culturally	ADV
fcis-20342	100	16	independent	independent	ADJ
fcis-20342	100	17	and	and	CCONJ
fcis-20342	100	18	has	have	VERB
fcis-20342	100	19	large	large	ADJ
fcis-20342	100	20	cultural	cultural	ADJ
fcis-20342	100	21	differences	difference	NOUN
fcis-20342	100	22	with	with	ADP
fcis-20342	100	23	western	western	ADJ
fcis-20342	100	24	countries	country	NOUN
fcis-20342	100	25	,	,	PUNCT
fcis-20342	100	26	its	its	PRON
fcis-20342	100	27	usability	usability	NOUN
fcis-20342	100	28	validity	validity	NOUN
fcis-20342	100	29	is	be	AUX
fcis-20342	100	30	difficult	difficult	ADJ
fcis-20342	100	31	to	to	PART
fcis-20342	100	32	guarantee	guarantee	VERB
fcis-20342	100	33	.	.	PUNCT
fcis-20342	101	1	2.5	2.5	NUM
fcis-20342	101	2	.	.	PUNCT
fcis-20342	102	1	attention	attention	NOUN
fcis-20342	102	2	mechanism	mechanism	NOUN
fcis-20342	102	3	attention	attention	NOUN
fcis-20342	102	4	mechanisms	mechanism	NOUN
fcis-20342	102	5	are	be	AUX
fcis-20342	102	6	an	an	DET
fcis-20342	102	7	important	important	ADJ
fcis-20342	102	8	technique	technique	NOUN
fcis-20342	102	9	in	in	ADP
fcis-20342	102	10	deep	deep	ADJ
fcis-20342	102	11	learning	learning	NOUN
fcis-20342	102	12	,	,	PUNCT
fcis-20342	102	13	designed	design	VERB
fcis-20342	102	14	to	to	PART
fcis-20342	102	15	enhance	enhance	VERB
fcis-20342	102	16	the	the	DET
fcis-20342	102	17	"	"	PUNCT
fcis-20342	102	18	focus	focus	NOUN
fcis-20342	102	19	"	"	PUNCT
fcis-20342	102	20	of	of	ADP
fcis-20342	102	21	a	a	DET
fcis-20342	102	22	neural	neural	ADJ
fcis-20342	102	23	network	network	NOUN
fcis-20342	102	24	on	on	ADP
fcis-20342	102	25	the	the	DET
fcis-20342	102	26	important	important	ADJ
fcis-20342	102	27	parts	part	NOUN
fcis-20342	102	28	of	of	ADP
fcis-20342	102	29	the	the	DET
fcis-20342	102	30	input	input	NOUN
fcis-20342	102	31	data	datum	NOUN
fcis-20342	102	32	.	.	PUNCT
fcis-20342	103	1	it	it	PRON
fcis-20342	103	2	mimics	mimic	VERB
fcis-20342	103	3	the	the	DET
fcis-20342	103	4	function	function	NOUN
fcis-20342	103	5	of	of	ADP
fcis-20342	103	6	human	human	ADJ
fcis-20342	103	7	visual	visual	ADJ
fcis-20342	103	8	attention	attention	NOUN
fcis-20342	103	9	,	,	PUNCT
fcis-20342	103	10	allowing	allow	VERB
fcis-20342	103	11	the	the	DET
fcis-20342	103	12	model	model	NOUN
fcis-20342	103	13	to	to	PART
fcis-20342	103	14	dynamically	dynamically	ADV
fcis-20342	103	15	focus	focus	VERB
fcis-20342	103	16	on	on	ADP
fcis-20342	103	17	the	the	DET
fcis-20342	103	18	most	most	ADV
fcis-20342	103	19	critical	critical	ADJ
fcis-20342	103	20	parts	part	NOUN
fcis-20342	103	21	while	while	SCONJ
fcis-20342	103	22	ignoring	ignore	VERB
fcis-20342	103	23	other	other	ADJ
fcis-20342	103	24	less	less	ADV
fcis-20342	103	25	important	important	ADJ
fcis-20342	103	26	information	information	NOUN
fcis-20342	103	27	.	.	PUNCT
fcis-20342	104	1	attention	attention	NOUN
fcis-20342	104	2	mechanisms	mechanism	NOUN
fcis-20342	104	3	can	can	AUX
fcis-20342	104	4	significantly	significantly	ADV
fcis-20342	104	5	improve	improve	VERB
fcis-20342	104	6	model	model	NOUN
fcis-20342	104	7	performance	performance	NOUN
fcis-20342	104	8	on	on	ADP
fcis-20342	104	9	a	a	DET
fcis-20342	104	10	variety	variety	NOUN
fcis-20342	104	11	of	of	ADP
fcis-20342	104	12	tasks	task	NOUN
fcis-20342	104	13	such	such	ADJ
fcis-20342	104	14	as	as	ADP
fcis-20342	104	15	image	image	NOUN
fcis-20342	104	16	recognition	recognition	NOUN
fcis-20342	104	17	,	,	PUNCT
fcis-20342	104	18	natural	natural	ADJ
fcis-20342	104	19	language	language	NOUN
fcis-20342	104	20	processing	processing	NOUN
fcis-20342	104	21	,	,	PUNCT
fcis-20342	104	22	and	and	CCONJ
fcis-20342	104	23	speech	speech	NOUN
fcis-20342	104	24	recognition	recognition	NOUN
fcis-20342	104	25	.	.	PUNCT
fcis-20342	105	1	channel	channel	NOUN
fcis-20342	105	2	attention	attention	NOUN
fcis-20342	105	3	is	be	AUX
fcis-20342	105	4	used	use	VERB
fcis-20342	105	5	to	to	PART
fcis-20342	105	6	extract	extract	VERB
fcis-20342	105	7	the	the	DET
fcis-20342	105	8	importance	importance	NOUN
fcis-20342	105	9	of	of	ADP
fcis-20342	105	10	each	each	DET
fcis-20342	105	11	channel	channel	NOUN
fcis-20342	105	12	in	in	ADP
fcis-20342	105	13	the	the	DET
fcis-20342	105	14	feature	feature	NOUN
fcis-20342	105	15	map	map	NOUN
fcis-20342	105	16	.	.	PUNCT
fcis-20342	106	1	in	in	ADP
fcis-20342	106	2	convolutional	convolutional	ADJ
fcis-20342	106	3	neural	neural	ADJ
fcis-20342	106	4	networks	network	NOUN
fcis-20342	106	5	,	,	PUNCT
fcis-20342	106	6	a	a	DET
fcis-20342	106	7	feature	feature	NOUN
fcis-20342	106	8	map	map	NOUN
fcis-20342	106	9	often	often	ADV
fcis-20342	106	10	contains	contain	VERB
fcis-20342	106	11	multiple	multiple	ADJ
fcis-20342	106	12	channels	channel	NOUN
fcis-20342	106	13	,	,	PUNCT
fcis-20342	106	14	where	where	SCONJ
fcis-20342	106	15	each	each	DET
fcis-20342	106	16	channel	channel	NOUN
fcis-20342	106	17	may	may	AUX
fcis-20342	106	18	contain	contain	VERB
fcis-20342	106	19	different	different	ADJ
fcis-20342	106	20	feature	feature	NOUN
fcis-20342	106	21	information	information	NOUN
fcis-20342	106	22	about	about	ADP
fcis-20342	106	23	the	the	DET
fcis-20342	106	24	input	input	NOUN
fcis-20342	106	25	data	datum	NOUN
fcis-20342	106	26	.	.	PUNCT
fcis-20342	107	1	channel	channel	NOUN
fcis-20342	107	2	attention	attention	NOUN
fcis-20342	107	3	enables	enable	VERB
fcis-20342	107	4	the	the	DET
fcis-20342	107	5	model	model	NOUN
fcis-20342	107	6	to	to	PART
fcis-20342	107	7	emphasize	emphasize	VERB
fcis-20342	107	8	the	the	DET
fcis-20342	107	9	more	more	ADV
fcis-20342	107	10	informative	informative	ADJ
fcis-20342	107	11	channels	channel	NOUN
fcis-20342	107	12	while	while	SCONJ
fcis-20342	107	13	suppressing	suppress	VERB
fcis-20342	107	14	the	the	DET
fcis-20342	107	15	less	less	ADV
fcis-20342	107	16	important	important	ADJ
fcis-20342	107	17	channels	channel	NOUN
fcis-20342	107	18	from	from	ADP
fcis-20342	107	19	while	while	SCONJ
fcis-20342	107	20	extracting	extract	VERB
fcis-20342	107	21	features	feature	NOUN
fcis-20342	107	22	efficiently	efficiently	ADV
fcis-20342	107	23	by	by	ADP
fcis-20342	107	24	learning	learn	VERB
fcis-20342	107	25	the	the	DET
fcis-20342	107	26	weights	weight	NOUN
fcis-20342	107	27	of	of	ADP
fcis-20342	107	28	each	each	DET
fcis-20342	107	29	channel	channel	NOUN
fcis-20342	107	30	.	.	PUNCT
fcis-20342	108	1	an	an	DET
fcis-20342	108	2	example	example	NOUN
fcis-20342	108	3	of	of	ADP
fcis-20342	108	4	a	a	DET
fcis-20342	108	5	typical	typical	ADJ
fcis-20342	108	6	channel	channel	NOUN
fcis-20342	108	7	attention	attention	NOUN
fcis-20342	108	8	mechanism	mechanism	NOUN
fcis-20342	108	9	is	be	AUX
fcis-20342	108	10	the	the	DET
fcis-20342	108	11	squeeze	squeeze	NOUN
fcis-20342	108	12	-	-	PUNCT
fcis-20342	108	13	andexcitation	andexcitation	NOUN
fcis-20342	108	14	module	module	NOUN
fcis-20342	108	15	in	in	ADP
fcis-20342	108	16	senet	senet	NOUN
fcis-20342	108	17	[	[	X
fcis-20342	108	18	33	33	NUM
fcis-20342	108	19	]	]	PUNCT
fcis-20342	108	20	(	(	PUNCT
fcis-20342	108	21	squeeze	squeeze	NOUN
fcis-20342	108	22	-	-	PUNCT
fcis-20342	108	23	and	and	CCONJ
fcis-20342	108	24	-	-	PUNCT
fcis-20342	108	25	excitation	excitation	NOUN
fcis-20342	108	26	network	network	NOUN
fcis-20342	108	27	)	)	PUNCT
fcis-20342	108	28	which	which	PRON
fcis-20342	108	29	explicitly	explicitly	ADV
fcis-20342	108	30	the	the	DET
fcis-20342	108	31	module	module	NOUN
fcis-20342	108	32	explicitly	explicitly	ADV
fcis-20342	108	33	models	model	VERB
fcis-20342	108	34	the	the	DET
fcis-20342	108	35	dependencies	dependency	NOUN
fcis-20342	108	36	between	between	ADP
fcis-20342	108	37	channels	channel	NOUN
fcis-20342	108	38	.	.	PUNCT
fcis-20342	109	1	the	the	DET
fcis-20342	109	2	structure	structure	NOUN
fcis-20342	109	3	is	be	AUX
fcis-20342	109	4	shown	show	VERB
fcis-20342	109	5	in	in	ADP
fcis-20342	109	6	figure	figure	NOUN
fcis-20342	109	7	4	4	NUM
fcis-20342	109	8	.	.	PUNCT
fcis-20342	109	9	figure	figure	VERB
fcis-20342	109	10	4	4	NUM
fcis-20342	109	11	.	.	PUNCT
fcis-20342	109	12	schematic	schematic	ADJ
fcis-20342	109	13	diagram	diagram	NOUN
fcis-20342	109	14	of	of	ADP
fcis-20342	109	15	senet	senet	PROPN
fcis-20342	109	16	model	model	NOUN
fcis-20342	109	17	structure	structure	NOUN
fcis-20342	109	18	spatial	spatial	ADJ
fcis-20342	109	19	attention	attention	NOUN
fcis-20342	109	20	,	,	PUNCT
fcis-20342	109	21	on	on	ADP
fcis-20342	109	22	the	the	DET
fcis-20342	109	23	other	other	ADJ
fcis-20342	109	24	hand	hand	NOUN
fcis-20342	109	25	,	,	PUNCT
fcis-20342	109	26	focuses	focus	VERB
fcis-20342	109	27	on	on	ADP
fcis-20342	109	28	different	different	ADJ
fcis-20342	109	29	spatial	spatial	ADJ
fcis-20342	109	30	regions	region	NOUN
fcis-20342	109	31	of	of	ADP
fcis-20342	109	32	the	the	DET
fcis-20342	109	33	input	input	NOUN
fcis-20342	109	34	data	datum	NOUN
fcis-20342	109	35	,	,	PUNCT
fcis-20342	109	36	enabling	enable	VERB
fcis-20342	109	37	the	the	DET
fcis-20342	109	38	model	model	NOUN
fcis-20342	109	39	to	to	PART
fcis-20342	109	40	recognize	recognize	VERB
fcis-20342	109	41	which	which	DET
fcis-20342	109	42	regions	region	NOUN
fcis-20342	109	43	are	be	AUX
fcis-20342	109	44	more	more	ADV
fcis-20342	109	45	important	important	ADJ
fcis-20342	109	46	.	.	PUNCT
fcis-20342	110	1	for	for	ADP
fcis-20342	110	2	convolutional	convolutional	ADJ
fcis-20342	110	3	neural	neural	ADJ
fcis-20342	110	4	networks	network	NOUN
fcis-20342	110	5	,	,	PUNCT
fcis-20342	110	6	spatial	spatial	ADJ
fcis-20342	110	7	attention	attention	NOUN
fcis-20342	110	8	helps	help	VERB
fcis-20342	110	9	the	the	DET
fcis-20342	110	10	network	network	NOUN
fcis-20342	110	11	focus	focus	VERB
fcis-20342	110	12	on	on	ADP
fcis-20342	110	13	those	those	DET
fcis-20342	110	14	regions	region	NOUN
fcis-20342	110	15	of	of	ADP
fcis-20342	110	16	the	the	DET
fcis-20342	110	17	image	image	NOUN
fcis-20342	110	18	that	that	PRON
fcis-20342	110	19	contain	contain	VERB
fcis-20342	110	20	critical	critical	ADJ
fcis-20342	110	21	information	information	NOUN
fcis-20342	110	22	.	.	PUNCT
fcis-20342	111	1	spatial	spatial	ADJ
fcis-20342	111	2	attention	attention	NOUN
fcis-20342	111	3	can	can	AUX
fcis-20342	111	4	be	be	AUX
fcis-20342	111	5	used	use	VERB
fcis-20342	111	6	not	not	PART
fcis-20342	111	7	only	only	ADV
fcis-20342	111	8	in	in	ADP
fcis-20342	111	9	traditional	traditional	ADJ
fcis-20342	111	10	image	image	NOUN
fcis-20342	111	11	processing	processing	NOUN
fcis-20342	111	12	tasks	task	NOUN
fcis-20342	111	13	,	,	PUNCT
fcis-20342	111	14	but	but	CCONJ
fcis-20342	111	15	also	also	ADV
fcis-20342	111	16	in	in	ADP
fcis-20342	111	17	sequence	sequence	NOUN
fcis-20342	111	18	-	-	PUNCT
fcis-20342	111	19	tosequence	tosequence	NOUN
fcis-20342	111	20	models	model	NOUN
fcis-20342	111	21	,	,	PUNCT
fcis-20342	111	22	such	such	ADJ
fcis-20342	111	23	as	as	ADP
fcis-20342	111	24	in	in	ADP
fcis-20342	111	25	natural	natural	ADJ
fcis-20342	111	26	language	language	NOUN
fcis-20342	111	27	processing	processing	NOUN
fcis-20342	111	28	(	(	PUNCT
fcis-20342	111	29	nlp	nlp	NOUN
fcis-20342	111	30	)	)	PUNCT
fcis-20342	111	31	,	,	PUNCT
fcis-20342	111	32	where	where	SCONJ
fcis-20342	111	33	the	the	DET
fcis-20342	111	34	model	model	NOUN
fcis-20342	111	35	needs	need	VERB
fcis-20342	111	36	to	to	PART
fcis-20342	111	37	focus	focus	VERB
fcis-20342	111	38	on	on	ADP
fcis-20342	111	39	keywords	keyword	NOUN
fcis-20342	111	40	in	in	ADP
fcis-20342	111	41	the	the	DET
fcis-20342	111	42	input	input	NOUN
fcis-20342	111	43	sentence	sentence	NOUN
fcis-20342	111	44	.	.	PUNCT
fcis-20342	112	1	spatial	spatial	ADJ
fcis-20342	112	2	attention	attention	NOUN
fcis-20342	112	3	is	be	AUX
fcis-20342	112	4	usually	usually	ADV
fcis-20342	112	5	achieved	achieve	VERB
fcis-20342	112	6	by	by	ADP
fcis-20342	112	7	weighting	weight	VERB
fcis-20342	112	8	different	different	ADJ
fcis-20342	112	9	regions	region	NOUN
fcis-20342	112	10	of	of	ADP
fcis-20342	112	11	the	the	DET
fcis-20342	112	12	input	input	NOUN
fcis-20342	112	13	feature	feature	NOUN
fcis-20342	112	14	map	map	NOUN
fcis-20342	112	15	,	,	PUNCT
fcis-20342	112	16	and	and	CCONJ
fcis-20342	112	17	the	the	DET
fcis-20342	112	18	weights	weight	NOUN
fcis-20342	112	19	are	be	AUX
fcis-20342	112	20	usually	usually	ADV
fcis-20342	112	21	learned	learn	VERB
fcis-20342	112	22	automatically	automatically	ADV
fcis-20342	112	23	by	by	ADP
fcis-20342	112	24	the	the	DET
fcis-20342	112	25	network	network	NOUN
fcis-20342	112	26	.	.	PUNCT
fcis-20342	113	1	typically	typically	ADV
fcis-20342	113	2	,	,	PUNCT
fcis-20342	113	3	cbam	cbam	NOUN
fcis-20342	113	4	(	(	PUNCT
fcis-20342	113	5	convolutional	convolutional	ADJ
fcis-20342	113	6	block	block	NOUN
fcis-20342	113	7	attention	attention	NOUN
fcis-20342	113	8	module	module	NOUN
fcis-20342	113	9	)	)	PUNCT
fcis-20342	114	1	[	[	X
fcis-20342	114	2	34	34	NUM
fcis-20342	114	3	]	]	PUNCT
fcis-20342	114	4	,	,	PUNCT
fcis-20342	114	5	cbam	cbam	NOUN
fcis-20342	114	6	is	be	AUX
fcis-20342	114	7	a	a	DET
fcis-20342	114	8	model	model	NOUN
fcis-20342	114	9	that	that	PRON
fcis-20342	114	10	combines	combine	VERB
fcis-20342	114	11	channel	channel	NOUN
fcis-20342	114	12	attention	attention	NOUN
fcis-20342	114	13	and	and	CCONJ
fcis-20342	114	14	spatial	spatial	ADJ
fcis-20342	114	15	attention	attention	NOUN
fcis-20342	114	16	and	and	CCONJ
fcis-20342	114	17	is	be	AUX
fcis-20342	114	18	designed	design	VERB
fcis-20342	114	19	to	to	PART
fcis-20342	114	20	enhance	enhance	VERB
fcis-20342	114	21	the	the	DET
fcis-20342	114	22	ability	ability	NOUN
fcis-20342	114	23	of	of	ADP
fcis-20342	114	24	a	a	DET
fcis-20342	114	25	convolutional	convolutional	ADJ
fcis-20342	114	26	neural	neural	ADJ
fcis-20342	114	27	network	network	NOUN
fcis-20342	114	28	to	to	PART
fcis-20342	114	29	attend	attend	VERB
fcis-20342	114	30	to	to	ADP
fcis-20342	114	31	an	an	DET
fcis-20342	114	32	image	image	NOUN
fcis-20342	114	33	.	.	PUNCT
fcis-20342	115	1	figure	figure	NOUN
fcis-20342	115	2	5	5	NUM
fcis-20342	115	3	.	.	PUNCT
fcis-20342	116	1	below	below	ADV
fcis-20342	116	2	shows	show	VERB
fcis-20342	116	3	the	the	DET
fcis-20342	116	4	schematic	schematic	ADJ
fcis-20342	116	5	structure	structure	NOUN
fcis-20342	116	6	of	of	ADP
fcis-20342	116	7	cbam	cbam	NOUN
fcis-20342	116	8	.	.	PUNCT
fcis-20342	117	1	figure	figure	NOUN
fcis-20342	117	2	5	5	NUM
fcis-20342	117	3	.	.	PUNCT
fcis-20342	118	1	cbam	cbam	NOUN
fcis-20342	118	2	schematic	schematic	ADJ
fcis-20342	118	3	27	27	NUM
fcis-20342	118	4	3	3	NUM
fcis-20342	118	5	.	.	PUNCT
fcis-20342	118	6	improved	improve	VERB
fcis-20342	118	7	image	image	NOUN
fcis-20342	118	8	emotion	emotion	NOUN
fcis-20342	118	9	regression	regression	VERB
fcis-20342	118	10	multiple	multiple	ADJ
fcis-20342	118	11	attention	attention	NOUN
fcis-20342	118	12	networks	network	NOUN
fcis-20342	118	13	this	this	DET
fcis-20342	118	14	section	section	NOUN
fcis-20342	118	15	describes	describe	VERB
fcis-20342	118	16	the	the	DET
fcis-20342	118	17	improvement	improvement	NOUN
fcis-20342	118	18	of	of	ADP
fcis-20342	118	19	the	the	DET
fcis-20342	118	20	multiple	multiple	ADJ
fcis-20342	118	21	attention	attention	NOUN
fcis-20342	118	22	network	network	NOUN
fcis-20342	118	23	,	,	PUNCT
fcis-20342	118	24	based	base	VERB
fcis-20342	118	25	on	on	ADP
fcis-20342	118	26	the	the	DET
fcis-20342	118	27	pdanet	pdanet	NOUN
fcis-20342	118	28	mentioning	mention	VERB
fcis-20342	118	29	the	the	DET
fcis-20342	118	30	introduction	introduction	NOUN
fcis-20342	118	31	of	of	ADP
fcis-20342	118	32	three	three	NUM
fcis-20342	118	33	-	-	PUNCT
fcis-20342	118	34	dimensional	dimensional	ADJ
fcis-20342	118	35	attention	attention	NOUN
fcis-20342	118	36	simam	simam	NOUN
fcis-20342	118	37	module	module	NOUN
fcis-20342	118	38	expansion	expansion	NOUN
fcis-20342	118	39	to	to	PART
fcis-20342	118	40	give	give	VERB
fcis-20342	118	41	the	the	DET
fcis-20342	118	42	model	model	NOUN
fcis-20342	118	43	's	's	PART
fcis-20342	118	44	ability	ability	NOUN
fcis-20342	118	45	to	to	PART
fcis-20342	118	46	extract	extract	VERB
fcis-20342	118	47	information	information	NOUN
fcis-20342	118	48	;	;	PUNCT
fcis-20342	118	49	introduced	introduce	VERB
fcis-20342	118	50	the	the	DET
fcis-20342	118	51	most	most	ADV
fcis-20342	118	52	common	common	ADJ
fcis-20342	118	53	triple	triple	ADJ
fcis-20342	118	54	categorization	categorization	NOUN
fcis-20342	118	55	division	division	NOUN
fcis-20342	118	56	in	in	ADP
fcis-20342	118	57	psychological	psychological	ADJ
fcis-20342	118	58	research	research	NOUN
fcis-20342	118	59	to	to	PART
fcis-20342	118	60	improve	improve	VERB
fcis-20342	118	61	the	the	DET
fcis-20342	118	62	accuracy	accuracy	NOUN
fcis-20342	118	63	of	of	ADP
fcis-20342	118	64	the	the	DET
fcis-20342	118	65	regression	regression	NOUN
fcis-20342	118	66	loss	loss	NOUN
fcis-20342	118	67	.	.	PUNCT
fcis-20342	119	1	3.1	3.1	NUM
fcis-20342	119	2	.	.	PUNCT
fcis-20342	119	3	pdanet	pdanet	PROPN
fcis-20342	119	4	pdanet	pdanet	PROPN
fcis-20342	120	1	[	[	X
fcis-20342	120	2	35	35	NUM
fcis-20342	120	3	]	]	PUNCT
fcis-20342	120	4	specifically	specifically	ADV
fcis-20342	120	5	addresses	address	VERB
fcis-20342	120	6	the	the	DET
fcis-20342	120	7	problem	problem	NOUN
fcis-20342	120	8	of	of	ADP
fcis-20342	120	9	image	image	NOUN
fcis-20342	120	10	sentiment	sentiment	NOUN
fcis-20342	120	11	regression	regression	NOUN
fcis-20342	120	12	based	base	VERB
fcis-20342	120	13	on	on	ADP
fcis-20342	120	14	convolutional	convolutional	ADJ
fcis-20342	120	15	neural	neural	ADJ
fcis-20342	120	16	networks	network	NOUN
fcis-20342	120	17	by	by	ADP
fcis-20342	120	18	introducing	introduce	VERB
fcis-20342	120	19	an	an	DET
fcis-20342	120	20	attention	attention	NOUN
fcis-20342	120	21	module	module	NOUN
fcis-20342	120	22	to	to	ADP
fcis-20342	120	23	the	the	DET
fcis-20342	120	24	network	network	NOUN
fcis-20342	120	25	and	and	CCONJ
fcis-20342	120	26	improving	improve	VERB
fcis-20342	120	27	the	the	DET
fcis-20342	120	28	polarity	polarity	NOUN
fcis-20342	120	29	consistent	consistent	ADJ
fcis-20342	120	30	regression	regression	NOUN
fcis-20342	120	31	(	(	PUNCT
fcis-20342	120	32	pcr	pcr	NOUN
fcis-20342	120	33	)	)	PUNCT
fcis-20342	120	34	loss	loss	NOUN
fcis-20342	120	35	to	to	PART
fcis-20342	120	36	guide	guide	VERB
fcis-20342	120	37	the	the	DET
fcis-20342	120	38	attention	attention	NOUN
fcis-20342	120	39	generation	generation	NOUN
fcis-20342	120	40	and	and	CCONJ
fcis-20342	120	41	improve	improve	VERB
fcis-20342	120	42	the	the	DET
fcis-20342	120	43	performance	performance	NOUN
fcis-20342	120	44	of	of	ADP
fcis-20342	120	45	the	the	DET
fcis-20342	120	46	sentiment	sentiment	NOUN
fcis-20342	120	47	regression	regression	NOUN
fcis-20342	120	48	task	task	NOUN
fcis-20342	120	49	.	.	PUNCT
fcis-20342	121	1	the	the	DET
fcis-20342	121	2	network	network	NOUN
fcis-20342	121	3	structure	structure	NOUN
fcis-20342	121	4	is	be	AUX
fcis-20342	121	5	shown	show	VERB
fcis-20342	121	6	in	in	ADP
fcis-20342	121	7	figure	figure	NOUN
fcis-20342	121	8	6	6	NUM
fcis-20342	121	9	.	.	PUNCT
fcis-20342	122	1	below	below	ADV
fcis-20342	122	2	,	,	PUNCT
fcis-20342	122	3	the	the	DET
fcis-20342	122	4	incoming	incoming	ADJ
fcis-20342	122	5	images	image	NOUN
fcis-20342	122	6	are	be	AUX
fcis-20342	122	7	input	input	VERB
fcis-20342	122	8	into	into	ADP
fcis-20342	122	9	the	the	DET
fcis-20342	122	10	channel	channel	NOUN
fcis-20342	122	11	attention	attention	NOUN
fcis-20342	122	12	module	module	NOUN
fcis-20342	122	13	and	and	CCONJ
fcis-20342	122	14	spatial	spatial	ADJ
fcis-20342	122	15	attention	attention	NOUN
fcis-20342	122	16	module	module	NOUN
fcis-20342	122	17	respectively	respectively	ADV
fcis-20342	122	18	after	after	SCONJ
fcis-20342	122	19	the	the	DET
fcis-20342	122	20	features	feature	NOUN
fcis-20342	122	21	are	be	AUX
fcis-20342	122	22	extracted	extract	VERB
fcis-20342	122	23	in	in	ADP
fcis-20342	122	24	the	the	DET
fcis-20342	122	25	backbone	backbone	NOUN
fcis-20342	122	26	network	network	NOUN
fcis-20342	122	27	of	of	ADP
fcis-20342	122	28	resnet-101	resnet-101	NOUN
fcis-20342	122	29	,	,	PUNCT
fcis-20342	122	30	and	and	CCONJ
fcis-20342	122	31	the	the	DET
fcis-20342	122	32	obtained	obtain	VERB
fcis-20342	122	33	global	global	ADJ
fcis-20342	122	34	and	and	CCONJ
fcis-20342	122	35	local	local	ADJ
fcis-20342	122	36	information	information	NOUN
fcis-20342	122	37	semantic	semantic	ADJ
fcis-20342	122	38	vectors	vector	NOUN
fcis-20342	122	39	are	be	AUX
fcis-20342	122	40	subsequently	subsequently	ADV
fcis-20342	122	41	connected	connect	VERB
fcis-20342	122	42	and	and	CCONJ
fcis-20342	122	43	regressed	regress	VERB
fcis-20342	122	44	,	,	PUNCT
fcis-20342	122	45	and	and	CCONJ
fcis-20342	122	46	the	the	DET
fcis-20342	122	47	polarity	polarity	NOUN
fcis-20342	122	48	-	-	PUNCT
fcis-20342	122	49	consistent	consistent	ADJ
fcis-20342	122	50	regression	regression	NOUN
fcis-20342	122	51	loss	loss	NOUN
fcis-20342	122	52	is	be	AUX
fcis-20342	122	53	used	use	VERB
fcis-20342	122	54	to	to	PART
fcis-20342	122	55	guide	guide	VERB
fcis-20342	122	56	the	the	DET
fcis-20342	122	57	attention	attention	NOUN
fcis-20342	122	58	generation	generation	NOUN
fcis-20342	122	59	throughout	throughout	ADP
fcis-20342	122	60	the	the	DET
fcis-20342	122	61	process	process	NOUN
fcis-20342	122	62	.	.	PUNCT
fcis-20342	123	1	figure	figure	VERB
fcis-20342	123	2	6	6	NUM
fcis-20342	123	3	.	.	PUNCT
fcis-20342	123	4	schematic	schematic	ADJ
fcis-20342	123	5	diagram	diagram	NOUN
fcis-20342	123	6	of	of	ADP
fcis-20342	123	7	pdanet	pdanet	PROPN
fcis-20342	123	8	model	model	PROPN
fcis-20342	123	9	structure	structure	PROPN
fcis-20342	123	10	3.2	3.2	NUM
fcis-20342	123	11	.	.	PUNCT
fcis-20342	124	1	improvements	improvement	NOUN
fcis-20342	124	2	to	to	ADP
fcis-20342	124	3	pdanet	pdanet	PROPN
fcis-20342	124	4	the	the	DET
fcis-20342	124	5	pdanet	pdanet	PROPN
fcis-20342	124	6	model	model	NOUN
fcis-20342	124	7	integrates	integrate	VERB
fcis-20342	124	8	the	the	DET
fcis-20342	124	9	semantic	semantic	ADJ
fcis-20342	124	10	vectors	vector	NOUN
fcis-20342	124	11	extracted	extract	VERB
fcis-20342	124	12	by	by	ADP
fcis-20342	124	13	the	the	DET
fcis-20342	124	14	channel	channel	NOUN
fcis-20342	124	15	attention	attention	NOUN
fcis-20342	124	16	spatial	spatial	ADJ
fcis-20342	124	17	attention	attention	NOUN
fcis-20342	124	18	and	and	CCONJ
fcis-20342	124	19	spatial	spatial	ADJ
fcis-20342	124	20	attention	attention	NOUN
fcis-20342	124	21	senet	senet	NOUN
fcis-20342	124	22	modules	module	NOUN
fcis-20342	124	23	for	for	ADP
fcis-20342	124	24	regression	regression	NOUN
fcis-20342	124	25	through	through	ADP
fcis-20342	124	26	a	a	DET
fcis-20342	124	27	parallel	parallel	ADJ
fcis-20342	124	28	approach	approach	NOUN
fcis-20342	124	29	,	,	PUNCT
fcis-20342	124	30	but	but	CCONJ
fcis-20342	124	31	the	the	DET
fcis-20342	124	32	intrinsic	intrinsic	ADJ
fcis-20342	124	33	connection	connection	NOUN
fcis-20342	124	34	between	between	ADP
fcis-20342	124	35	the	the	DET
fcis-20342	124	36	channel	channel	NOUN
fcis-20342	124	37	and	and	CCONJ
fcis-20342	124	38	spatial	spatial	ADJ
fcis-20342	124	39	attention	attention	NOUN
fcis-20342	124	40	can	can	AUX
fcis-20342	124	41	not	not	PART
fcis-20342	124	42	be	be	AUX
fcis-20342	124	43	combined	combine	VERB
fcis-20342	124	44	in	in	ADP
fcis-20342	124	45	the	the	DET
fcis-20342	124	46	parallel	parallel	ADJ
fcis-20342	124	47	modules	module	NOUN
fcis-20342	124	48	,	,	PUNCT
fcis-20342	124	49	and	and	CCONJ
fcis-20342	124	50	the	the	DET
fcis-20342	124	51	extracted	extract	VERB
fcis-20342	124	52	semantic	semantic	ADJ
fcis-20342	124	53	vectors	vector	NOUN
fcis-20342	124	54	retain	retain	VERB
fcis-20342	124	55	the	the	DET
fcis-20342	124	56	shortcomings	shortcoming	NOUN
fcis-20342	124	57	of	of	ADP
fcis-20342	124	58	the	the	DET
fcis-20342	124	59	two	two	NUM
fcis-20342	124	60	modules	module	NOUN
fcis-20342	124	61	.	.	PUNCT
fcis-20342	125	1	to	to	PART
fcis-20342	125	2	improve	improve	VERB
fcis-20342	125	3	the	the	DET
fcis-20342	125	4	model	model	NOUN
fcis-20342	125	5	's	's	PART
fcis-20342	125	6	ability	ability	NOUN
fcis-20342	125	7	to	to	PART
fcis-20342	125	8	extract	extract	VERB
fcis-20342	125	9	information	information	NOUN
fcis-20342	125	10	from	from	ADP
fcis-20342	125	11	the	the	DET
fcis-20342	125	12	output	output	NOUN
fcis-20342	125	13	of	of	ADP
fcis-20342	125	14	the	the	DET
fcis-20342	125	15	resnet101	resnet101	PROPN
fcis-20342	125	16	backbone	backbone	NOUN
fcis-20342	125	17	network	network	NOUN
fcis-20342	125	18	,	,	PUNCT
fcis-20342	125	19	the	the	DET
fcis-20342	125	20	simam	simam	NOUN
fcis-20342	125	21	module	module	NOUN
fcis-20342	125	22	is	be	AUX
fcis-20342	125	23	introduced	introduce	VERB
fcis-20342	125	24	.	.	PUNCT
fcis-20342	126	1	simam	simam	PROPN
fcis-20342	127	1	[	[	X
fcis-20342	127	2	36	36	NUM
fcis-20342	127	3	]	]	PUNCT
fcis-20342	127	4	is	be	AUX
fcis-20342	127	5	a	a	DET
fcis-20342	127	6	parameter	parameter	NOUN
fcis-20342	127	7	-	-	PUNCT
fcis-20342	127	8	free	free	ADJ
fcis-20342	127	9	3d	3d	NOUN
fcis-20342	127	10	attention	attention	NOUN
fcis-20342	127	11	module	module	NOUN
fcis-20342	127	12	that	that	PRON
fcis-20342	127	13	assigns	assign	VERB
fcis-20342	127	14	weights	weight	NOUN
fcis-20342	127	15	to	to	ADP
fcis-20342	127	16	neurons	neuron	NOUN
fcis-20342	127	17	based	base	VERB
fcis-20342	127	18	on	on	ADP
fcis-20342	127	19	image	image	NOUN
fcis-20342	127	20	local	local	ADJ
fcis-20342	127	21	selfsimilarity	selfsimilarity	NOUN
fcis-20342	127	22	through	through	ADP
fcis-20342	127	23	a	a	DET
fcis-20342	127	24	theoretical	theoretical	ADJ
fcis-20342	127	25	study	study	NOUN
fcis-20342	127	26	of	of	ADP
fcis-20342	127	27	the	the	DET
fcis-20342	127	28	neuron	neuron	NOUN
fcis-20342	127	29	level	level	NOUN
fcis-20342	127	30	.	.	PUNCT
fcis-20342	128	1	unlike	unlike	ADP
fcis-20342	128	2	the	the	DET
fcis-20342	128	3	traditional	traditional	ADJ
fcis-20342	128	4	1	1	NUM
fcis-20342	128	5	-	-	PUNCT
fcis-20342	128	6	dimensional	dimensional	ADJ
fcis-20342	128	7	attention	attention	NOUN
fcis-20342	128	8	,	,	PUNCT
fcis-20342	128	9	i.e.	i.e.	X
fcis-20342	128	10	,	,	PUNCT
fcis-20342	128	11	channel	channel	NOUN
fcis-20342	128	12	attention	attention	NOUN
fcis-20342	128	13	,	,	PUNCT
fcis-20342	128	14	and	and	CCONJ
fcis-20342	128	15	2	2	NUM
fcis-20342	128	16	-	-	PUNCT
fcis-20342	128	17	dimensional	dimensional	ADJ
fcis-20342	128	18	attention	attention	NOUN
fcis-20342	128	19	,	,	PUNCT
fcis-20342	128	20	i.e.	i.e.	X
fcis-20342	128	21	,	,	PUNCT
fcis-20342	128	22	spatial	spatial	ADJ
fcis-20342	128	23	attention	attention	NOUN
fcis-20342	128	24	,	,	PUNCT
fcis-20342	128	25	the	the	DET
fcis-20342	128	26	simam	simam	NOUN
fcis-20342	128	27	module	module	NOUN
fcis-20342	128	28	provides	provide	VERB
fcis-20342	128	29	attention	attention	NOUN
fcis-20342	128	30	for	for	ADP
fcis-20342	128	31	3	3	NUM
fcis-20342	128	32	-	-	PUNCT
fcis-20342	128	33	dimensional	dimensional	ADJ
fcis-20342	128	34	information	information	NOUN
fcis-20342	128	35	,	,	PUNCT
fcis-20342	128	36	a	a	DET
fcis-20342	128	37	comparison	comparison	NOUN
fcis-20342	128	38	of	of	ADP
fcis-20342	128	39	which	which	PRON
fcis-20342	128	40	is	be	AUX
fcis-20342	128	41	shown	show	VERB
fcis-20342	128	42	in	in	ADP
fcis-20342	128	43	figure	figure	NOUN
fcis-20342	128	44	7	7	NUM
fcis-20342	128	45	.	.	PUNCT
fcis-20342	129	1	below	below	ADV
fcis-20342	129	2	:	:	PUNCT
fcis-20342	129	3	figure	figure	VERB
fcis-20342	129	4	7	7	NUM
fcis-20342	129	5	.	.	PUNCT
fcis-20342	129	6	simam	simam	NOUN
fcis-20342	129	7	module	module	NOUN
fcis-20342	129	8	vs.	vs.	ADP
fcis-20342	129	9	channel	channel	NOUN
fcis-20342	129	10	and	and	CCONJ
fcis-20342	129	11	spatial	spatial	ADJ
fcis-20342	129	12	attention	attention	NOUN
fcis-20342	129	13	in	in	ADP
fcis-20342	129	14	order	order	NOUN
fcis-20342	129	15	to	to	PART
fcis-20342	129	16	explore	explore	VERB
fcis-20342	129	17	the	the	DET
fcis-20342	129	18	optimal	optimal	ADJ
fcis-20342	129	19	connection	connection	NOUN
fcis-20342	129	20	between	between	ADP
fcis-20342	129	21	the	the	DET
fcis-20342	129	22	information	information	NOUN
fcis-20342	129	23	extracted	extract	VERB
fcis-20342	129	24	by	by	ADP
fcis-20342	129	25	the	the	DET
fcis-20342	129	26	simam	simam	NOUN
fcis-20342	129	27	module	module	NOUN
fcis-20342	129	28	and	and	CCONJ
fcis-20342	129	29	the	the	DET
fcis-20342	129	30	final	final	ADJ
fcis-20342	129	31	fully	fully	ADV
fcis-20342	129	32	-	-	PUNCT
fcis-20342	129	33	connected	connect	VERB
fcis-20342	129	34	layer	layer	NOUN
fcis-20342	129	35	of	of	ADP
fcis-20342	129	36	the	the	DET
fcis-20342	129	37	network	network	NOUN
fcis-20342	129	38	,	,	PUNCT
fcis-20342	129	39	this	this	DET
fcis-20342	129	40	paper	paper	NOUN
fcis-20342	129	41	conducts	conduct	VERB
fcis-20342	129	42	experimental	experimental	ADJ
fcis-20342	129	43	comparisons	comparison	NOUN
fcis-20342	129	44	using	use	VERB
fcis-20342	129	45	three	three	NUM
fcis-20342	129	46	methods	method	NOUN
fcis-20342	129	47	,	,	PUNCT
fcis-20342	129	48	namely	namely	ADV
fcis-20342	129	49	,	,	PUNCT
fcis-20342	129	50	simam	simam	NOUN
fcis-20342	129	51	-	-	PUNCT
fcis-20342	129	52	only	only	ADJ
fcis-20342	129	53	extraction	extraction	NOUN
fcis-20342	129	54	of	of	ADP
fcis-20342	129	55	information	information	NOUN
fcis-20342	129	56	,	,	PUNCT
fcis-20342	129	57	parallel	parallel	ADJ
fcis-20342	129	58	connection	connection	NOUN
fcis-20342	129	59	of	of	ADP
fcis-20342	129	60	the	the	DET
fcis-20342	129	61	simam	simam	NOUN
fcis-20342	129	62	module	module	NOUN
fcis-20342	129	63	with	with	ADP
fcis-20342	129	64	the	the	DET
fcis-20342	129	65	channel	channel	NOUN
fcis-20342	129	66	attention	attention	NOUN
fcis-20342	129	67	spatial	spatial	ADJ
fcis-20342	129	68	attention	attention	NOUN
fcis-20342	129	69	module	module	NOUN
fcis-20342	129	70	,	,	PUNCT
fcis-20342	129	71	and	and	CCONJ
fcis-20342	129	72	series	series	NOUN
fcis-20342	129	73	connection	connection	NOUN
fcis-20342	129	74	of	of	ADP
fcis-20342	129	75	the	the	DET
fcis-20342	129	76	simam	simam	NOUN
fcis-20342	129	77	module	module	NOUN
fcis-20342	129	78	,	,	PUNCT
fcis-20342	129	79	respectively	respectively	ADV
fcis-20342	129	80	.	.	PUNCT
fcis-20342	130	1	3.3	3.3	NUM
fcis-20342	130	2	.	.	PUNCT
fcis-20342	131	1	improvement	improvement	NOUN
fcis-20342	131	2	of	of	ADP
fcis-20342	131	3	the	the	DET
fcis-20342	131	4	loss	loss	NOUN
fcis-20342	131	5	function	function	NOUN
fcis-20342	131	6	in	in	ADP
fcis-20342	131	7	terms	term	NOUN
fcis-20342	131	8	of	of	ADP
fcis-20342	131	9	the	the	DET
fcis-20342	131	10	improvement	improvement	NOUN
fcis-20342	131	11	of	of	ADP
fcis-20342	131	12	the	the	DET
fcis-20342	131	13	loss	loss	NOUN
fcis-20342	131	14	function	function	NOUN
fcis-20342	131	15	,	,	PUNCT
fcis-20342	131	16	this	this	DET
fcis-20342	131	17	paper	paper	NOUN
fcis-20342	131	18	proposes	propose	VERB
fcis-20342	131	19	a	a	DET
fcis-20342	131	20	three	three	NUM
fcis-20342	131	21	-	-	PUNCT
fcis-20342	131	22	category	category	NOUN
fcis-20342	131	23	polarity	polarity	NOUN
fcis-20342	131	24	regression	regression	NOUN
fcis-20342	131	25	loss	loss	NOUN
fcis-20342	131	26	function	function	NOUN
fcis-20342	131	27	based	base	VERB
fcis-20342	131	28	on	on	ADP
fcis-20342	131	29	psychological	psychological	ADJ
fcis-20342	131	30	reality	reality	NOUN
fcis-20342	131	31	.	.	PUNCT
fcis-20342	132	1	in	in	ADP
fcis-20342	132	2	psychological	psychological	ADJ
fcis-20342	132	3	research	research	NOUN
fcis-20342	132	4	,	,	PUNCT
fcis-20342	132	5	the	the	DET
fcis-20342	132	6	emotion	emotion	NOUN
fcis-20342	132	7	evaluation	evaluation	NOUN
fcis-20342	132	8	system	system	NOUN
fcis-20342	132	9	based	base	VERB
fcis-20342	132	10	on	on	ADP
fcis-20342	132	11	vad	vad	PROPN
fcis-20342	132	12	dimensions	dimension	NOUN
fcis-20342	132	13	usually	usually	ADV
fcis-20342	132	14	uses	use	VERB
fcis-20342	132	15	positive	positive	ADJ
fcis-20342	132	16	,	,	PUNCT
fcis-20342	132	17	medium	medium	ADJ
fcis-20342	132	18	and	and	CCONJ
fcis-20342	132	19	negative	negative	ADJ
fcis-20342	132	20	categories	category	NOUN
fcis-20342	132	21	for	for	ADP
fcis-20342	132	22	finergrained	finergraine	VERB
fcis-20342	132	23	comparisons	comparison	NOUN
fcis-20342	132	24	,	,	PUNCT
fcis-20342	132	25	and	and	CCONJ
fcis-20342	132	26	the	the	DET
fcis-20342	132	27	polarity	polarity	NOUN
fcis-20342	132	28	-	-	PUNCT
fcis-20342	132	29	consistent	consistent	ADJ
fcis-20342	132	30	regression	regression	NOUN
fcis-20342	132	31	loss	loss	NOUN
fcis-20342	132	32	used	use	VERB
fcis-20342	132	33	in	in	ADP
fcis-20342	132	34	pdanet	pdanet	NOUN
fcis-20342	132	35	lacks	lack	NOUN
fcis-20342	132	36	in	in	ADP
fcis-20342	132	37	fineness	fineness	NOUN
fcis-20342	132	38	.	.	PUNCT
fcis-20342	133	1	28	28	NUM
fcis-20342	134	1	the	the	DET
fcis-20342	134	2	following	follow	VERB
fcis-20342	134	3	equation	equation	NOUN
fcis-20342	134	4	(	(	PUNCT
fcis-20342	134	5	1	1	X
fcis-20342	134	6	)	)	PUNCT
fcis-20342	134	7	shows	show	VERB
fcis-20342	134	8	the	the	DET
fcis-20342	134	9	formula	formula	NOUN
fcis-20342	134	10	for	for	ADP
fcis-20342	134	11	the	the	DET
fcis-20342	134	12	polarity	polarity	NOUN
fcis-20342	134	13	consistent	consistent	ADJ
fcis-20342	134	14	regression	regression	NOUN
fcis-20342	134	15	loss	loss	NOUN
fcis-20342	134	16	function	function	NOUN
fcis-20342	134	17	in	in	ADP
fcis-20342	134	18	pdanet	pdanet	NOUN
fcis-20342	134	19	:	:	PUNCT
fcis-20342	134	20	∑	∑	PROPN
fcis-20342	134	21	∑	∑	PROPN
fcis-20342	134	22	1	1	NUM
fcis-20342	134	23	,	,	PUNCT
fcis-20342	134	24	(	(	PUNCT
fcis-20342	134	25	1	1	X
fcis-20342	134	26	)	)	PUNCT
fcis-20342	134	27	the	the	DET
fcis-20342	134	28	part	part	NOUN
fcis-20342	134	29	of	of	ADP
fcis-20342	134	30	the	the	DET
fcis-20342	134	31	loss	loss	NOUN
fcis-20342	134	32	function	function	NOUN
fcis-20342	134	33	that	that	PRON
fcis-20342	134	34	is	be	AUX
fcis-20342	134	35	improved	improve	VERB
fcis-20342	134	36	in	in	ADP
fcis-20342	134	37	this	this	DET
fcis-20342	134	38	paper	paper	NOUN
fcis-20342	134	39	is	be	AUX
fcis-20342	134	40	…	…	PUNCT
fcis-20342	134	41	,	,	PUNCT
fcis-20342	134	42	indicating	indicate	VERB
fcis-20342	134	43	whether	whether	SCONJ
fcis-20342	134	44	a	a	DET
fcis-20342	134	45	penalty	penalty	NOUN
fcis-20342	134	46	is	be	AUX
fcis-20342	134	47	added	add	VERB
fcis-20342	134	48	or	or	CCONJ
fcis-20342	134	49	not	not	PART
fcis-20342	134	50	:	:	PUNCT
fcis-20342	134	51	,	,	PUNCT
fcis-20342	134	52	1	1	NUM
fcis-20342	134	53	,	,	PUNCT
fcis-20342	134	54	0	0	NUM
fcis-20342	134	55	,	,	PUNCT
fcis-20342	134	56	,	,	PUNCT
fcis-20342	134	57	∈	∈	PROPN
fcis-20342	134	58	,	,	PUNCT
fcis-20342	134	59	(	(	PUNCT
fcis-20342	134	60	2	2	X
fcis-20342	134	61	)	)	PUNCT
fcis-20342	134	62	where	where	SCONJ
fcis-20342	134	63	.	.	PUNCT
fcis-20342	134	64	is	be	AUX
fcis-20342	134	65	a	a	DET
fcis-20342	134	66	function	function	NOUN
fcis-20342	134	67	that	that	PRON
fcis-20342	134	68	calculates	calculate	VERB
fcis-20342	134	69	the	the	DET
fcis-20342	134	70	polarity	polarity	NOUN
fcis-20342	134	71	of	of	ADP
fcis-20342	134	72	the	the	DET
fcis-20342	134	73	sentiment	sentiment	NOUN
fcis-20342	134	74	for	for	ADP
fcis-20342	134	75	a	a	DET
fcis-20342	134	76	given	give	VERB
fcis-20342	134	77	dimension	dimension	NOUN
fcis-20342	134	78	,	,	PUNCT
fcis-20342	134	79	and	and	CCONJ
fcis-20342	134	80	the	the	DET
fcis-20342	134	81	polarity	polarity	NOUN
fcis-20342	134	82	is	be	AUX
fcis-20342	134	83	considered	consider	VERB
fcis-20342	134	84	to	to	PART
fcis-20342	134	85	be	be	AUX
fcis-20342	134	86	the	the	DET
fcis-20342	134	87	same	same	ADJ
fcis-20342	134	88	when	when	SCONJ
fcis-20342	134	89	the	the	DET
fcis-20342	134	90	predicted	predict	VERB
fcis-20342	134	91	and	and	CCONJ
fcis-20342	134	92	actual	actual	ADJ
fcis-20342	134	93	values	value	NOUN
fcis-20342	134	94	lie	lie	VERB
fcis-20342	134	95	in	in	ADP
fcis-20342	134	96	the	the	DET
fcis-20342	134	97	same	same	ADJ
fcis-20342	134	98	judgment	judgment	NOUN
fcis-20342	134	99	interval	interval	NOUN
fcis-20342	134	100	.	.	PUNCT
fcis-20342	135	1	in	in	ADP
fcis-20342	135	2	this	this	DET
fcis-20342	135	3	paper	paper	NOUN
fcis-20342	135	4	,	,	PUNCT
fcis-20342	135	5	the	the	DET
fcis-20342	135	6	intervals	interval	NOUN
fcis-20342	135	7	are	be	AUX
fcis-20342	135	8	set	set	VERB
fcis-20342	135	9	as	as	ADP
fcis-20342	135	10	[	[	X
fcis-20342	135	11	0	0	NUM
fcis-20342	135	12	,	,	PUNCT
fcis-20342	135	13	0.4	0.4	NUM
fcis-20342	135	14	]	]	PUNCT
fcis-20342	135	15	,	,	PUNCT
fcis-20342	135	16	[	[	X
fcis-20342	135	17	0.4	0.4	NUM
fcis-20342	135	18	,	,	PUNCT
fcis-20342	135	19	0.6	0.6	NUM
fcis-20342	135	20	]	]	PUNCT
fcis-20342	135	21	,	,	PUNCT
fcis-20342	135	22	and	and	CCONJ
fcis-20342	135	23	[	[	X
fcis-20342	135	24	0.6	0.6	NUM
fcis-20342	135	25	,	,	PUNCT
fcis-20342	135	26	1	1	NUM
fcis-20342	135	27	]	]	PUNCT
fcis-20342	135	28	.	.	PUNCT
fcis-20342	136	1	4	4	X
fcis-20342	136	2	.	.	X
fcis-20342	136	3	revision	revision	NOUN
fcis-20342	136	4	of	of	ADP
fcis-20342	136	5	caps	cap	NOUN
fcis-20342	136	6	4.1	4.1	NUM
fcis-20342	136	7	.	.	PUNCT
fcis-20342	137	1	introduction	introduction	NOUN
fcis-20342	137	2	to	to	ADP
fcis-20342	137	3	caps	cap	VERB
fcis-20342	137	4	the	the	DET
fcis-20342	137	5	chinese	chinese	ADJ
fcis-20342	137	6	affective	affective	ADJ
fcis-20342	137	7	picture	picture	NOUN
fcis-20342	137	8	system	system	NOUN
fcis-20342	137	9	(	(	PUNCT
fcis-20342	137	10	caps	cap	NOUN
fcis-20342	137	11	)	)	PUNCT
fcis-20342	138	1	[	[	X
fcis-20342	138	2	37	37	NUM
fcis-20342	138	3	]	]	PUNCT
fcis-20342	138	4	was	be	AUX
fcis-20342	138	5	developed	develop	VERB
fcis-20342	138	6	by	by	ADP
fcis-20342	138	7	luo	luo	PROPN
fcis-20342	138	8	yuejia	yuejia	PROPN
fcis-20342	138	9	's	's	PART
fcis-20342	138	10	group	group	NOUN
fcis-20342	138	11	,	,	PUNCT
fcis-20342	138	12	and	and	CCONJ
fcis-20342	138	13	its	its	PRON
fcis-20342	138	14	three	three	NUM
fcis-20342	138	15	dimensions	dimension	NOUN
fcis-20342	138	16	of	of	ADP
fcis-20342	138	17	pleasure	pleasure	NOUN
fcis-20342	138	18	,	,	PUNCT
fcis-20342	138	19	arousal	arousal	NOUN
fcis-20342	138	20	,	,	PUNCT
fcis-20342	138	21	and	and	CCONJ
fcis-20342	138	22	dominance	dominance	NOUN
fcis-20342	138	23	were	be	AUX
fcis-20342	138	24	obtained	obtain	VERB
fcis-20342	138	25	from	from	ADP
fcis-20342	138	26	selfreported	selfreporte	VERB
fcis-20342	138	27	9	9	NUM
fcis-20342	138	28	-	-	PUNCT
fcis-20342	138	29	point	point	NOUN
fcis-20342	138	30	scales	scale	NOUN
fcis-20342	138	31	rated	rate	VERB
fcis-20342	138	32	by	by	ADP
fcis-20342	138	33	46	46	NUM
fcis-20342	138	34	chinese	chinese	PROPN
fcis-20342	138	35	university	university	NOUN
fcis-20342	138	36	students	student	NOUN
fcis-20342	138	37	.	.	PUNCT
fcis-20342	139	1	the	the	DET
fcis-20342	139	2	caps	cap	NOUN
fcis-20342	139	3	consists	consist	VERB
fcis-20342	139	4	of	of	ADP
fcis-20342	139	5	852	852	NUM
fcis-20342	139	6	chinese	chinese	ADJ
fcis-20342	139	7	affective	affective	ADJ
fcis-20342	139	8	picture	picture	NOUN
fcis-20342	139	9	system	system	NOUN
fcis-20342	139	10	images	image	NOUN
fcis-20342	139	11	,	,	PUNCT
fcis-20342	139	12	which	which	PRON
fcis-20342	139	13	have	have	AUX
fcis-20342	139	14	been	be	AUX
fcis-20342	139	15	widely	widely	ADV
fcis-20342	139	16	used	use	VERB
fcis-20342	139	17	in	in	ADP
fcis-20342	139	18	chinese	chinese	ADJ
fcis-20342	139	19	affective	affective	ADJ
fcis-20342	139	20	research	research	NOUN
fcis-20342	139	21	,	,	PUNCT
fcis-20342	139	22	because	because	SCONJ
fcis-20342	139	23	of	of	ADP
fcis-20342	139	24	their	their	PRON
fcis-20342	139	25	clear	clear	ADJ
fcis-20342	139	26	meaning	meaning	NOUN
fcis-20342	139	27	and	and	CCONJ
fcis-20342	139	28	broad	broad	ADJ
fcis-20342	139	29	scope	scope	NOUN
fcis-20342	139	30	.	.	PUNCT
fcis-20342	140	1	since	since	SCONJ
fcis-20342	140	2	the	the	DET
fcis-20342	140	3	caps	cap	NOUN
fcis-20342	140	4	is	be	AUX
fcis-20342	140	5	modeled	model	VERB
fcis-20342	140	6	after	after	ADP
fcis-20342	140	7	the	the	DET
fcis-20342	140	8	iaps	iaps	ADJ
fcis-20342	140	9	system	system	NOUN
fcis-20342	140	10	,	,	PUNCT
fcis-20342	140	11	which	which	PRON
fcis-20342	140	12	has	have	AUX
fcis-20342	140	13	long	long	ADV
fcis-20342	140	14	been	be	AUX
fcis-20342	140	15	widely	widely	ADV
fcis-20342	140	16	used	use	VERB
fcis-20342	140	17	in	in	ADP
fcis-20342	140	18	the	the	DET
fcis-20342	140	19	field	field	NOUN
fcis-20342	140	20	of	of	ADP
fcis-20342	140	21	image	image	NOUN
fcis-20342	140	22	sentiment	sentiment	NOUN
fcis-20342	140	23	analysis	analysis	NOUN
fcis-20342	140	24	,	,	PUNCT
fcis-20342	140	25	the	the	DET
fcis-20342	140	26	caps	cap	NOUN
fcis-20342	140	27	also	also	ADV
fcis-20342	140	28	has	have	VERB
fcis-20342	140	29	the	the	DET
fcis-20342	140	30	potential	potential	NOUN
fcis-20342	140	31	to	to	PART
fcis-20342	140	32	be	be	AUX
fcis-20342	140	33	introduced	introduce	VERB
fcis-20342	140	34	into	into	ADP
fcis-20342	140	35	this	this	DET
fcis-20342	140	36	field	field	NOUN
fcis-20342	140	37	.	.	PUNCT
fcis-20342	141	1	in	in	ADP
fcis-20342	141	2	this	this	DET
fcis-20342	141	3	study	study	NOUN
fcis-20342	141	4	,	,	PUNCT
fcis-20342	141	5	with	with	ADP
fcis-20342	141	6	reference	reference	NOUN
fcis-20342	141	7	to	to	ADP
fcis-20342	141	8	the	the	DET
fcis-20342	141	9	specific	specific	ADJ
fcis-20342	141	10	use	use	NOUN
fcis-20342	141	11	of	of	ADP
fcis-20342	141	12	current	current	ADJ
fcis-20342	141	13	datasets	dataset	NOUN
fcis-20342	141	14	such	such	ADJ
fcis-20342	141	15	as	as	ADP
fcis-20342	141	16	iaps	iap	NOUN
fcis-20342	141	17	,	,	PUNCT
fcis-20342	141	18	we	we	PRON
fcis-20342	141	19	revise	revise	VERB
fcis-20342	141	20	the	the	DET
fcis-20342	141	21	images	image	NOUN
fcis-20342	141	22	,	,	PUNCT
fcis-20342	141	23	annotations	annotation	NOUN
fcis-20342	141	24	and	and	CCONJ
fcis-20342	141	25	other	other	ADJ
fcis-20342	141	26	data	datum	NOUN
fcis-20342	141	27	of	of	ADP
fcis-20342	141	28	caps	cap	NOUN
fcis-20342	141	29	to	to	PART
fcis-20342	141	30	meet	meet	VERB
fcis-20342	141	31	the	the	DET
fcis-20342	141	32	needs	need	NOUN
fcis-20342	141	33	of	of	ADP
fcis-20342	141	34	image	image	NOUN
fcis-20342	141	35	sentiment	sentiment	NOUN
fcis-20342	141	36	analysis	analysis	NOUN
fcis-20342	141	37	models	model	NOUN
fcis-20342	141	38	,	,	PUNCT
fcis-20342	141	39	and	and	CCONJ
fcis-20342	141	40	evaluate	evaluate	VERB
fcis-20342	141	41	and	and	CCONJ
fcis-20342	141	42	test	test	VERB
fcis-20342	141	43	this	this	DET
fcis-20342	141	44	dataset	dataset	NOUN
fcis-20342	141	45	using	use	VERB
fcis-20342	141	46	a	a	DET
fcis-20342	141	47	variety	variety	NOUN
fcis-20342	141	48	of	of	ADP
fcis-20342	141	49	models	model	NOUN
fcis-20342	141	50	and	and	CCONJ
fcis-20342	141	51	methods	method	NOUN
fcis-20342	141	52	to	to	PART
fcis-20342	141	53	achieve	achieve	VERB
fcis-20342	141	54	the	the	DET
fcis-20342	141	55	purpose	purpose	NOUN
fcis-20342	141	56	of	of	ADP
fcis-20342	141	57	introduction	introduction	NOUN
fcis-20342	141	58	.	.	PUNCT
fcis-20342	142	1	4.2	4.2	NUM
fcis-20342	142	2	.	.	PUNCT
fcis-20342	143	1	the	the	DET
fcis-20342	143	2	case	case	NOUN
fcis-20342	143	3	of	of	ADP
fcis-20342	143	4	the	the	DET
fcis-20342	143	5	caps	cap	NOUN
fcis-20342	143	6	dataset	dataset	VERB
fcis-20342	143	7	the	the	DET
fcis-20342	143	8	caps	cap	NOUN
fcis-20342	143	9	dataset	dataset	NOUN
fcis-20342	143	10	's	's	PART
fcis-20342	143	11	gives	give	VERB
fcis-20342	143	12	two	two	NUM
fcis-20342	143	13	image	image	NOUN
fcis-20342	143	14	libraries	library	NOUN
fcis-20342	143	15	,	,	PUNCT
fcis-20342	143	16	a	a	DET
fcis-20342	143	17	full	full	ADJ
fcis-20342	143	18	image	image	NOUN
fcis-20342	143	19	library	library	NOUN
fcis-20342	143	20	containing	contain	VERB
fcis-20342	143	21	all	all	DET
fcis-20342	143	22	852	852	NUM
fcis-20342	143	23	images	image	NOUN
fcis-20342	143	24	,	,	PUNCT
fcis-20342	143	25	and	and	CCONJ
fcis-20342	143	26	a	a	DET
fcis-20342	143	27	categorized	categorize	VERB
fcis-20342	143	28	image	image	NOUN
fcis-20342	143	29	library	library	NOUN
fcis-20342	143	30	divided	divide	VERB
fcis-20342	143	31	into	into	ADP
fcis-20342	143	32	three	three	NUM
fcis-20342	143	33	libraries	library	NOUN
fcis-20342	143	34	:	:	PUNCT
fcis-20342	143	35	positive	positive	ADJ
fcis-20342	143	36	,	,	PUNCT
fcis-20342	143	37	neutral	neutral	ADJ
fcis-20342	143	38	,	,	PUNCT
fcis-20342	143	39	and	and	CCONJ
fcis-20342	143	40	negative	negative	ADJ
fcis-20342	143	41	.	.	PUNCT
fcis-20342	144	1	the	the	DET
fcis-20342	144	2	classification	classification	NOUN
fcis-20342	144	3	is	be	AUX
fcis-20342	144	4	based	base	VERB
fcis-20342	144	5	on	on	ADP
fcis-20342	144	6	the	the	DET
fcis-20342	144	7	fact	fact	NOUN
fcis-20342	144	8	that	that	SCONJ
fcis-20342	144	9	those	those	PRON
fcis-20342	144	10	with	with	ADP
fcis-20342	144	11	a	a	DET
fcis-20342	144	12	pleasantness	pleasantness	NOUN
fcis-20342	144	13	less	less	ADJ
fcis-20342	144	14	than	than	ADP
fcis-20342	144	15	0.4	0.4	NUM
fcis-20342	144	16	are	be	AUX
fcis-20342	144	17	negative	negative	ADJ
fcis-20342	144	18	,	,	PUNCT
fcis-20342	144	19	those	those	PRON
fcis-20342	144	20	between	between	ADP
fcis-20342	144	21	0.4	0.4	NUM
fcis-20342	144	22	and	and	CCONJ
fcis-20342	144	23	0.6	0.6	NUM
fcis-20342	144	24	are	be	AUX
fcis-20342	144	25	neutral	neutral	ADJ
fcis-20342	144	26	,	,	PUNCT
fcis-20342	144	27	and	and	CCONJ
fcis-20342	144	28	those	those	PRON
fcis-20342	144	29	greater	great	ADJ
fcis-20342	144	30	than	than	ADP
fcis-20342	144	31	0.6	0.6	NUM
fcis-20342	144	32	are	be	AUX
fcis-20342	144	33	positive	positive	ADJ
fcis-20342	144	34	.	.	PUNCT
fcis-20342	145	1	the	the	DET
fcis-20342	145	2	dataset	dataset	NOUN
fcis-20342	145	3	is	be	AUX
fcis-20342	145	4	provided	provide	VERB
fcis-20342	145	5	labeled	label	VERB
fcis-20342	145	6	as	as	ADP
fcis-20342	145	7	an	an	DET
fcis-20342	145	8	excel	excel	NOUN
fcis-20342	145	9	file	file	NOUN
fcis-20342	145	10	with	with	ADP
fcis-20342	145	11	statistics	statistic	NOUN
fcis-20342	145	12	including	include	VERB
fcis-20342	145	13	the	the	DET
fcis-20342	145	14	serial	serial	ADJ
fcis-20342	145	15	number	number	NOUN
fcis-20342	145	16	of	of	ADP
fcis-20342	145	17	the	the	DET
fcis-20342	145	18	image	image	NOUN
fcis-20342	145	19	,	,	PUNCT
fcis-20342	145	20	the	the	DET
fcis-20342	145	21	name	name	NOUN
fcis-20342	145	22	of	of	ADP
fcis-20342	145	23	the	the	DET
fcis-20342	145	24	image	image	NOUN
fcis-20342	145	25	,	,	PUNCT
fcis-20342	145	26	and	and	CCONJ
fcis-20342	145	27	the	the	DET
fcis-20342	145	28	mean	mean	ADJ
fcis-20342	145	29	and	and	CCONJ
fcis-20342	145	30	standard	standard	ADJ
fcis-20342	145	31	deviation	deviation	NOUN
fcis-20342	145	32	of	of	ADP
fcis-20342	145	33	the	the	DET
fcis-20342	145	34	three	three	NUM
fcis-20342	145	35	dimensions	dimension	NOUN
fcis-20342	145	36	.	.	PUNCT
fcis-20342	146	1	in	in	ADP
fcis-20342	146	2	addition	addition	NOUN
fcis-20342	146	3	,	,	PUNCT
fcis-20342	146	4	the	the	DET
fcis-20342	146	5	dataset	dataset	NOUN
fcis-20342	146	6	was	be	AUX
fcis-20342	146	7	provided	provide	VERB
fcis-20342	146	8	with	with	ADP
fcis-20342	146	9	an	an	DET
fcis-20342	146	10	explanatory	explanatory	ADJ
fcis-20342	146	11	document	document	NOUN
fcis-20342	146	12	that	that	PRON
fcis-20342	146	13	included	include	VERB
fcis-20342	146	14	an	an	DET
fcis-20342	146	15	overview	overview	NOUN
fcis-20342	146	16	of	of	ADP
fcis-20342	146	17	the	the	DET
fcis-20342	146	18	dataset	dataset	NOUN
fcis-20342	146	19	,	,	PUNCT
fcis-20342	146	20	a	a	DET
fcis-20342	146	21	summary	summary	NOUN
fcis-20342	146	22	of	of	ADP
fcis-20342	146	23	the	the	DET
fcis-20342	146	24	data	datum	NOUN
fcis-20342	146	25	with	with	ADP
fcis-20342	146	26	additional	additional	ADJ
fcis-20342	146	27	thumbnails	thumbnail	NOUN
fcis-20342	146	28	of	of	ADP
fcis-20342	146	29	the	the	DET
fcis-20342	146	30	images	image	NOUN
fcis-20342	146	31	.	.	PUNCT
fcis-20342	147	1	the	the	DET
fcis-20342	147	2	actual	actual	ADJ
fcis-20342	147	3	questions	question	NOUN
fcis-20342	147	4	for	for	ADP
fcis-20342	147	5	the	the	DET
fcis-20342	147	6	dataset	dataset	NOUN
fcis-20342	147	7	are	be	AUX
fcis-20342	147	8	as	as	SCONJ
fcis-20342	147	9	follows	follow	VERB
fcis-20342	147	10	:	:	PUNCT
fcis-20342	147	11	(	(	PUNCT
fcis-20342	147	12	1	1	X
fcis-20342	147	13	)	)	PUNCT
fcis-20342	147	14	the	the	DET
fcis-20342	147	15	total	total	ADJ
fcis-20342	147	16	number	number	NOUN
fcis-20342	147	17	of	of	ADP
fcis-20342	147	18	pictures	picture	NOUN
fcis-20342	147	19	in	in	ADP
fcis-20342	147	20	the	the	DET
fcis-20342	147	21	categorized	categorize	VERB
fcis-20342	147	22	picture	picture	NOUN
fcis-20342	147	23	gallery	gallery	NOUN
fcis-20342	147	24	and	and	CCONJ
fcis-20342	147	25	the	the	DET
fcis-20342	147	26	number	number	NOUN
fcis-20342	147	27	of	of	ADP
fcis-20342	147	28	pictures	picture	NOUN
fcis-20342	147	29	in	in	ADP
fcis-20342	147	30	the	the	DET
fcis-20342	147	31	full	full	ADJ
fcis-20342	147	32	gallery	gallery	NOUN
fcis-20342	147	33	appeared	appear	VERB
fcis-20342	147	34	to	to	PART
fcis-20342	147	35	be	be	AUX
fcis-20342	147	36	inconsistent	inconsistent	ADJ
fcis-20342	147	37	,	,	PUNCT
fcis-20342	147	38	neutral	neutral	ADJ
fcis-20342	147	39	283	283	NUM
fcis-20342	147	40	,	,	PUNCT
fcis-20342	147	41	positive	positive	ADJ
fcis-20342	147	42	286	286	NUM
fcis-20342	147	43	,	,	PUNCT
fcis-20342	147	44	negative	negative	ADJ
fcis-20342	147	45	288	288	NUM
fcis-20342	147	46	,	,	PUNCT
fcis-20342	147	47	total	total	ADJ
fcis-20342	147	48	857	857	NUM
fcis-20342	147	49	,	,	PUNCT
fcis-20342	147	50	which	which	PRON
fcis-20342	147	51	was	be	AUX
fcis-20342	147	52	inconsistent	inconsistent	ADJ
fcis-20342	147	53	with	with	ADP
fcis-20342	147	54	the	the	DET
fcis-20342	147	55	number	number	NOUN
fcis-20342	147	56	of	of	ADP
fcis-20342	147	57	852	852	NUM
fcis-20342	147	58	pictures	picture	NOUN
fcis-20342	147	59	in	in	ADP
fcis-20342	147	60	the	the	DET
fcis-20342	147	61	full	full	ADJ
fcis-20342	147	62	gallery	gallery	NOUN
fcis-20342	147	63	;	;	PUNCT
fcis-20342	147	64	(	(	PUNCT
fcis-20342	147	65	2	2	X
fcis-20342	147	66	)	)	PUNCT
fcis-20342	147	67	there	there	PRON
fcis-20342	147	68	is	be	VERB
fcis-20342	147	69	a	a	DET
fcis-20342	147	70	discrepancy	discrepancy	NOUN
fcis-20342	147	71	between	between	ADP
fcis-20342	147	72	the	the	DET
fcis-20342	147	73	serial	serial	ADJ
fcis-20342	147	74	number	number	NOUN
fcis-20342	147	75	of	of	ADP
fcis-20342	147	76	the	the	DET
fcis-20342	147	77	pictures	picture	NOUN
fcis-20342	147	78	in	in	ADP
fcis-20342	147	79	the	the	DET
fcis-20342	147	80	categorized	categorize	VERB
fcis-20342	147	81	gallery	gallery	NOUN
fcis-20342	147	82	and	and	CCONJ
fcis-20342	147	83	the	the	DET
fcis-20342	147	84	serial	serial	ADJ
fcis-20342	147	85	number	number	NOUN
fcis-20342	147	86	of	of	ADP
fcis-20342	147	87	the	the	DET
fcis-20342	147	88	pictures	picture	NOUN
fcis-20342	147	89	in	in	ADP
fcis-20342	147	90	the	the	DET
fcis-20342	147	91	full	full	ADJ
fcis-20342	147	92	gallery	gallery	NOUN
fcis-20342	147	93	;	;	PUNCT
fcis-20342	147	94	(	(	PUNCT
fcis-20342	147	95	3	3	X
fcis-20342	147	96	)	)	PUNCT
fcis-20342	147	97	the	the	DET
fcis-20342	147	98	format	format	NOUN
fcis-20342	147	99	of	of	ADP
fcis-20342	147	100	the	the	DET
fcis-20342	147	101	pictures	picture	NOUN
fcis-20342	147	102	in	in	ADP
fcis-20342	147	103	the	the	DET
fcis-20342	147	104	categorized	categorize	VERB
fcis-20342	147	105	gallery	gallery	NOUN
fcis-20342	147	106	is	be	AUX
fcis-20342	147	107	jpg	jpg	NOUN
fcis-20342	147	108	,	,	PUNCT
fcis-20342	147	109	but	but	CCONJ
fcis-20342	147	110	the	the	DET
fcis-20342	147	111	format	format	NOUN
fcis-20342	147	112	of	of	ADP
fcis-20342	147	113	the	the	DET
fcis-20342	147	114	pictures	picture	NOUN
fcis-20342	147	115	in	in	ADP
fcis-20342	147	116	the	the	DET
fcis-20342	147	117	full	full	ADJ
fcis-20342	147	118	gallery	gallery	NOUN
fcis-20342	147	119	is	be	AUX
fcis-20342	147	120	bmp	bmp	PROPN
fcis-20342	147	121	.	.	PUNCT
fcis-20342	147	122	to	to	PART
fcis-20342	147	123	solve	solve	VERB
fcis-20342	147	124	the	the	DET
fcis-20342	147	125	above	above	ADJ
fcis-20342	147	126	problems	problem	NOUN
fcis-20342	147	127	,	,	PUNCT
fcis-20342	147	128	it	it	PRON
fcis-20342	147	129	is	be	AUX
fcis-20342	147	130	necessary	necessary	ADJ
fcis-20342	147	131	to	to	PART
fcis-20342	147	132	compare	compare	VERB
fcis-20342	147	133	and	and	CCONJ
fcis-20342	147	134	de	de	VERB
fcis-20342	147	135	-	-	VERB
fcis-20342	147	136	duplicate	duplicate	VERB
fcis-20342	147	137	the	the	DET
fcis-20342	147	138	classified	classified	ADJ
fcis-20342	147	139	gallery	gallery	NOUN
fcis-20342	147	140	and	and	CCONJ
fcis-20342	147	141	the	the	DET
fcis-20342	147	142	full	full	ADJ
fcis-20342	147	143	gallery	gallery	NOUN
fcis-20342	147	144	,	,	PUNCT
fcis-20342	147	145	and	and	CCONJ
fcis-20342	147	146	check	check	VERB
fcis-20342	147	147	against	against	ADP
fcis-20342	147	148	the	the	DET
fcis-20342	147	149	annotated	annotate	VERB
fcis-20342	147	150	data	datum	NOUN
fcis-20342	147	151	,	,	PUNCT
fcis-20342	147	152	and	and	CCONJ
fcis-20342	147	153	finally	finally	ADV
fcis-20342	147	154	form	form	VERB
fcis-20342	147	155	a	a	DET
fcis-20342	147	156	standardized	standardized	ADJ
fcis-20342	147	157	caps	cap	NOUN
fcis-20342	147	158	dataset	dataset	VERB
fcis-20342	147	159	that	that	PRON
fcis-20342	147	160	can	can	AUX
fcis-20342	147	161	be	be	AUX
fcis-20342	147	162	used	use	VERB
fcis-20342	147	163	for	for	ADP
fcis-20342	147	164	aica	aica	PROPN
fcis-20342	147	165	.	.	PUNCT
fcis-20342	148	1	4.3	4.3	NUM
fcis-20342	148	2	.	.	PUNCT
fcis-20342	149	1	image	image	NOUN
fcis-20342	149	2	comparison	comparison	NOUN
fcis-20342	149	3	methods	method	NOUN
fcis-20342	149	4	combining	combine	VERB
fcis-20342	149	5	the	the	DET
fcis-20342	149	6	total	total	ADJ
fcis-20342	149	7	amount	amount	NOUN
fcis-20342	149	8	of	of	ADP
fcis-20342	149	9	caps	cap	NOUN
fcis-20342	149	10	data	datum	NOUN
fcis-20342	149	11	and	and	CCONJ
fcis-20342	149	12	the	the	DET
fcis-20342	149	13	actual	actual	ADJ
fcis-20342	149	14	characteristics	characteristic	NOUN
fcis-20342	149	15	of	of	ADP
fcis-20342	149	16	the	the	DET
fcis-20342	149	17	images	image	NOUN
fcis-20342	150	1	,	,	PUNCT
fcis-20342	150	2	this	this	DET
fcis-20342	150	3	paper	paper	NOUN
fcis-20342	150	4	chooses	choose	VERB
fcis-20342	150	5	the	the	DET
fcis-20342	150	6	method	method	NOUN
fcis-20342	150	7	based	base	VERB
fcis-20342	150	8	on	on	ADP
fcis-20342	150	9	pixel	pixel	PROPN
fcis-20342	150	10	comparison	comparison	NOUN
fcis-20342	150	11	.	.	PUNCT
fcis-20342	151	1	the	the	DET
fcis-20342	151	2	principle	principle	NOUN
fcis-20342	151	3	of	of	ADP
fcis-20342	151	4	this	this	DET
fcis-20342	151	5	method	method	NOUN
fcis-20342	151	6	is	be	AUX
fcis-20342	151	7	to	to	PART
fcis-20342	151	8	directly	directly	ADV
fcis-20342	151	9	compare	compare	VERB
fcis-20342	151	10	the	the	DET
fcis-20342	151	11	pixel	pixel	NOUN
fcis-20342	151	12	values	value	NOUN
fcis-20342	151	13	at	at	ADP
fcis-20342	151	14	the	the	DET
fcis-20342	151	15	corresponding	corresponding	ADJ
fcis-20342	151	16	positions	position	NOUN
fcis-20342	151	17	of	of	ADP
fcis-20342	151	18	two	two	NUM
fcis-20342	151	19	images	image	NOUN
fcis-20342	151	20	.	.	PUNCT
fcis-20342	152	1	pixelbased	pixelbase	VERB
fcis-20342	152	2	comparisons	comparison	NOUN
fcis-20342	152	3	are	be	AUX
fcis-20342	152	4	usually	usually	ADV
fcis-20342	152	5	simple	simple	ADJ
fcis-20342	152	6	and	and	CCONJ
fcis-20342	152	7	direct	direct	ADJ
fcis-20342	152	8	,	,	PUNCT
fcis-20342	152	9	but	but	CCONJ
fcis-20342	152	10	they	they	PRON
fcis-20342	152	11	are	be	AUX
fcis-20342	152	12	very	very	ADV
fcis-20342	152	13	sensitive	sensitive	ADJ
fcis-20342	152	14	to	to	ADP
fcis-20342	152	15	noise	noise	NOUN
fcis-20342	152	16	and	and	CCONJ
fcis-20342	152	17	illumination	illumination	NOUN
fcis-20342	152	18	variations	variation	NOUN
fcis-20342	152	19	in	in	ADP
fcis-20342	152	20	images	image	NOUN
fcis-20342	152	21	.	.	PUNCT
fcis-20342	153	1	common	common	ADJ
fcis-20342	153	2	pixel	pixel	PROPN
fcis-20342	153	3	-	-	PUNCT
fcis-20342	153	4	based	base	VERB
fcis-20342	153	5	comparison	comparison	NOUN
fcis-20342	153	6	techniques	technique	NOUN
fcis-20342	153	7	include	include	VERB
fcis-20342	153	8	:	:	PUNCT
fcis-20342	153	9	absolute	absolute	ADJ
fcis-20342	153	10	difference	difference	NOUN
fcis-20342	153	11	:	:	PUNCT
fcis-20342	153	12	calculates	calculate	VERB
fcis-20342	153	13	the	the	DET
fcis-20342	153	14	absolute	absolute	ADJ
fcis-20342	153	15	difference	difference	NOUN
fcis-20342	153	16	between	between	ADP
fcis-20342	153	17	two	two	NUM
fcis-20342	153	18	images	image	NOUN
fcis-20342	153	19	on	on	ADP
fcis-20342	153	20	a	a	DET
fcis-20342	153	21	pixel	pixel	NOUN
fcis-20342	153	22	-	-	PUNCT
fcis-20342	153	23	by	by	ADP
fcis-20342	153	24	-	-	PUNCT
fcis-20342	153	25	pixel	pixel	NOUN
fcis-20342	153	26	basis	basis	NOUN
fcis-20342	153	27	.	.	PUNCT
fcis-20342	154	1	mean	mean	VERB
fcis-20342	154	2	square	square	ADJ
fcis-20342	154	3	error	error	NOUN
fcis-20342	154	4	(	(	PUNCT
fcis-20342	154	5	mse	mse	NOUN
fcis-20342	154	6	):	):	PUNCT
fcis-20342	154	7	calculates	calculate	VERB
fcis-20342	154	8	the	the	DET
fcis-20342	154	9	average	average	NOUN
fcis-20342	154	10	of	of	ADP
fcis-20342	154	11	the	the	DET
fcis-20342	154	12	squares	square	NOUN
fcis-20342	154	13	of	of	ADP
fcis-20342	154	14	the	the	DET
fcis-20342	154	15	corresponding	corresponding	ADJ
fcis-20342	154	16	pixel	pixel	NOUN
fcis-20342	154	17	differences	difference	NOUN
fcis-20342	154	18	between	between	ADP
fcis-20342	154	19	two	two	NUM
fcis-20342	154	20	images	image	NOUN
fcis-20342	154	21	.	.	PUNCT
fcis-20342	155	1	structural	structural	ADJ
fcis-20342	155	2	similarity	similarity	NOUN
fcis-20342	155	3	(	(	PUNCT
fcis-20342	155	4	ssim	ssim	NOUN
fcis-20342	155	5	):	):	PUNCT
fcis-20342	155	6	evaluates	evaluate	VERB
fcis-20342	155	7	the	the	DET
fcis-20342	155	8	similarity	similarity	NOUN
fcis-20342	155	9	of	of	ADP
fcis-20342	155	10	image	image	NOUN
fcis-20342	155	11	pairs	pair	NOUN
fcis-20342	155	12	in	in	ADP
fcis-20342	155	13	terms	term	NOUN
fcis-20342	155	14	of	of	ADP
fcis-20342	155	15	brightness	brightness	NOUN
fcis-20342	155	16	,	,	PUNCT
fcis-20342	155	17	contrast	contrast	NOUN
fcis-20342	155	18	,	,	PUNCT
fcis-20342	155	19	and	and	CCONJ
fcis-20342	155	20	structure	structure	NOUN
fcis-20342	155	21	,	,	PUNCT
fcis-20342	155	22	providing	provide	VERB
fcis-20342	155	23	a	a	DET
fcis-20342	155	24	more	more	ADV
fcis-20342	155	25	comprehensive	comprehensive	ADJ
fcis-20342	155	26	similarity	similarity	NOUN
fcis-20342	155	27	metric	metric	ADJ
fcis-20342	155	28	than	than	ADP
fcis-20342	155	29	pixelbased	pixelbase	VERB
fcis-20342	155	30	methods	method	NOUN
fcis-20342	155	31	alone	alone	ADV
fcis-20342	155	32	.	.	PUNCT
fcis-20342	156	1	4.4	4.4	NUM
fcis-20342	156	2	.	.	PUNCT
fcis-20342	157	1	implementation	implementation	NOUN
fcis-20342	157	2	of	of	ADP
fcis-20342	157	3	the	the	DET
fcis-20342	157	4	pixel	pixel	PROPN
fcis-20342	157	5	comparison	comparison	NOUN
fcis-20342	157	6	method	method	VERB
fcis-20342	157	7	the	the	DET
fcis-20342	157	8	purpose	purpose	NOUN
fcis-20342	157	9	of	of	ADP
fcis-20342	157	10	this	this	DET
fcis-20342	157	11	experiment	experiment	NOUN
fcis-20342	157	12	is	be	AUX
fcis-20342	157	13	to	to	PART
fcis-20342	157	14	verify	verify	VERB
fcis-20342	157	15	the	the	DET
fcis-20342	157	16	consistency	consistency	NOUN
fcis-20342	157	17	of	of	ADP
fcis-20342	157	18	the	the	DET
fcis-20342	157	19	image	image	NOUN
fcis-20342	157	20	data	datum	NOUN
fcis-20342	157	21	in	in	ADP
fcis-20342	157	22	the	the	DET
fcis-20342	157	23	full	full	ADJ
fcis-20342	157	24	and	and	CCONJ
fcis-20342	157	25	classified	classified	ADJ
fcis-20342	157	26	galleries	gallery	NOUN
fcis-20342	157	27	of	of	ADP
fcis-20342	157	28	the	the	DET
fcis-20342	157	29	caps	cap	NOUN
fcis-20342	157	30	dataset	dataset	VERB
fcis-20342	157	31	and	and	CCONJ
fcis-20342	157	32	to	to	PART
fcis-20342	157	33	standardize	standardize	VERB
fcis-20342	157	34	the	the	DET
fcis-20342	157	35	format	format	NOUN
fcis-20342	157	36	and	and	CCONJ
fcis-20342	157	37	name	name	NOUN
fcis-20342	157	38	.	.	PUNCT
fcis-20342	158	1	the	the	DET
fcis-20342	158	2	pixel	pixel	PROPN
fcis-20342	158	3	comparison	comparison	NOUN
fcis-20342	158	4	method	method	NOUN
fcis-20342	158	5	is	be	AUX
fcis-20342	158	6	used	use	VERB
fcis-20342	158	7	to	to	PART
fcis-20342	158	8	compare	compare	VERB
fcis-20342	158	9	and	and	CCONJ
fcis-20342	158	10	exclude	exclude	VERB
fcis-20342	158	11	the	the	DET
fcis-20342	158	12	images	image	NOUN
fcis-20342	158	13	one	one	NUM
fcis-20342	158	14	by	by	ADP
fcis-20342	158	15	one	one	NUM
fcis-20342	158	16	.	.	PUNCT
fcis-20342	159	1	the	the	DET
fcis-20342	159	2	results	result	NOUN
fcis-20342	159	3	obtained	obtain	VERB
fcis-20342	159	4	from	from	ADP
fcis-20342	159	5	the	the	DET
fcis-20342	159	6	above	above	ADJ
fcis-20342	159	7	steps	step	NOUN
fcis-20342	159	8	are	be	AUX
fcis-20342	159	9	manually	manually	ADV
fcis-20342	159	10	checked	check	VERB
fcis-20342	159	11	,	,	PUNCT
fcis-20342	159	12	and	and	CCONJ
fcis-20342	159	13	if	if	SCONJ
fcis-20342	159	14	there	there	PRON
fcis-20342	159	15	is	be	VERB
fcis-20342	159	16	no	no	DET
fcis-20342	159	17	error	error	NOUN
fcis-20342	159	18	,	,	PUNCT
fcis-20342	159	19	the	the	DET
fcis-20342	159	20	.jpg	.jpg	NOUN
fcis-20342	159	21	format	format	NOUN
fcis-20342	159	22	images	image	NOUN
fcis-20342	159	23	are	be	AUX
fcis-20342	159	24	selected	select	VERB
fcis-20342	159	25	and	and	CCONJ
fcis-20342	159	26	placed	place	VERB
fcis-20342	159	27	in	in	ADP
fcis-20342	159	28	the	the	DET
fcis-20342	159	29	normalized	normalize	VERB
fcis-20342	159	30	image	image	NOUN
fcis-20342	159	31	library	library	NOUN
fcis-20342	159	32	,	,	PUNCT
fcis-20342	159	33	and	and	CCONJ
fcis-20342	159	34	the	the	DET
fcis-20342	159	35	images	image	NOUN
fcis-20342	159	36	with	with	ADP
fcis-20342	159	37	multiple	multiple	ADJ
fcis-20342	159	38	matches	match	NOUN
fcis-20342	159	39	or	or	CCONJ
fcis-20342	159	40	no	no	DET
fcis-20342	159	41	matches	match	NOUN
fcis-20342	159	42	are	be	AUX
fcis-20342	159	43	manually	manually	ADV
fcis-20342	159	44	rechecked	rechecke	VERB
fcis-20342	159	45	,	,	PUNCT
fcis-20342	159	46	and	and	CCONJ
fcis-20342	159	47	the	the	DET
fcis-20342	159	48	no	no	DET
fcis-20342	159	49	-	-	PUNCT
fcis-20342	159	50	match	match	NOUN
fcis-20342	159	51	images	image	NOUN
fcis-20342	159	52	are	be	AUX
fcis-20342	159	53	checked	check	VERB
fcis-20342	159	54	at	at	ADP
fcis-20342	159	55	the	the	DET
fcis-20342	159	56	end	end	NOUN
fcis-20342	159	57	of	of	ADP
fcis-20342	159	58	the	the	DET
fcis-20342	159	59	dataset	dataset	ADJ
fcis-20342	159	60	annotation	annotation	NOUN
fcis-20342	159	61	description	description	NOUN
fcis-20342	159	62	to	to	PART
fcis-20342	159	63	finally	finally	ADV
fcis-20342	159	64	ensure	ensure	VERB
fcis-20342	159	65	that	that	SCONJ
fcis-20342	159	66	all	all	DET
fcis-20342	159	67	the	the	DET
fcis-20342	159	68	images	image	NOUN
fcis-20342	159	69	are	be	AUX
fcis-20342	159	70	sorted	sort	VERB
fcis-20342	159	71	out	out	ADP
fcis-20342	159	72	in	in	ADP
fcis-20342	159	73	place	place	NOUN
fcis-20342	159	74	.	.	PUNCT
fcis-20342	160	1	4.5	4.5	NUM
fcis-20342	160	2	.	.	PUNCT
fcis-20342	161	1	training	training	NOUN
fcis-20342	161	2	strategies	strategy	NOUN
fcis-20342	161	3	considering	consider	VERB
fcis-20342	161	4	that	that	SCONJ
fcis-20342	161	5	the	the	DET
fcis-20342	161	6	caps	cap	NOUN
fcis-20342	161	7	dataset	dataset	VERB
fcis-20342	161	8	has	have	VERB
fcis-20342	161	9	a	a	DET
fcis-20342	161	10	data	data	NOUN
fcis-20342	161	11	size	size	NOUN
fcis-20342	161	12	of	of	ADP
fcis-20342	161	13	only	only	ADV
fcis-20342	161	14	852	852	NUM
fcis-20342	161	15	,	,	PUNCT
fcis-20342	161	16	overfitting	overfitte	VERB
fcis-20342	161	17	needs	need	NOUN
fcis-20342	161	18	to	to	PART
fcis-20342	161	19	be	be	AUX
fcis-20342	161	20	minimized	minimize	VERB
fcis-20342	161	21	in	in	ADP
fcis-20342	161	22	more	more	ADJ
fcis-20342	161	23	ways	way	NOUN
fcis-20342	161	24	than	than	ADP
fcis-20342	161	25	one	one	NUM
fcis-20342	161	26	.	.	PUNCT
fcis-20342	162	1	in	in	ADP
fcis-20342	162	2	this	this	DET
fcis-20342	162	3	paper	paper	NOUN
fcis-20342	162	4	,	,	PUNCT
fcis-20342	162	5	we	we	PRON
fcis-20342	162	6	use	use	VERB
fcis-20342	162	7	the	the	DET
fcis-20342	162	8	method	method	NOUN
fcis-20342	162	9	of	of	ADP
fcis-20342	162	10	cross	cross	NOUN
fcis-20342	162	11	-	-	NOUN
fcis-20342	162	12	validation	validation	NOUN
fcis-20342	162	13	.	.	PUNCT
fcis-20342	163	1	the	the	DET
fcis-20342	163	2	caps	cap	NOUN
fcis-20342	163	3	dataset	dataset	VERB
fcis-20342	163	4	itself	itself	PRON
fcis-20342	163	5	has	have	VERB
fcis-20342	163	6	a	a	DET
fcis-20342	163	7	total	total	ADJ
fcis-20342	163	8	data	datum	NOUN
fcis-20342	163	9	volume	volume	NOUN
fcis-20342	163	10	of	of	ADP
fcis-20342	163	11	852	852	NUM
fcis-20342	163	12	images	image	NOUN
fcis-20342	163	13	,	,	PUNCT
fcis-20342	163	14	and	and	CCONJ
fcis-20342	163	15	for	for	ADP
fcis-20342	163	16	the	the	DET
fcis-20342	163	17	original	original	ADJ
fcis-20342	163	18	gallery	gallery	NOUN
fcis-20342	163	19	,	,	PUNCT
fcis-20342	163	20	there	there	PRON
fcis-20342	163	21	are	be	VERB
fcis-20342	163	22	286	286	NUM
fcis-20342	163	23	positive	positive	ADJ
fcis-20342	163	24	images	image	NOUN
fcis-20342	163	25	,	,	PUNCT
fcis-20342	163	26	283	283	NUM
fcis-20342	163	27	neutral	neutral	ADJ
fcis-20342	163	28	images	image	NOUN
fcis-20342	163	29	,	,	PUNCT
fcis-20342	163	30	and	and	CCONJ
fcis-20342	163	31	288	288	NUM
fcis-20342	163	32	negative	negative	ADJ
fcis-20342	163	33	images	image	NOUN
fcis-20342	163	34	,	,	PUNCT
fcis-20342	163	35	which	which	PRON
fcis-20342	163	36	is	be	AUX
fcis-20342	163	37	a	a	DET
fcis-20342	163	38	more	more	ADV
fcis-20342	163	39	balanced	balanced	ADJ
fcis-20342	163	40	distribution	distribution	NOUN
fcis-20342	163	41	,	,	PUNCT
fcis-20342	163	42	so	so	CCONJ
fcis-20342	163	43	it	it	PRON
fcis-20342	163	44	is	be	AUX
fcis-20342	163	45	considered	consider	VERB
fcis-20342	163	46	that	that	SCONJ
fcis-20342	163	47	layered	layer	VERB
fcis-20342	163	48	cross	cross	NOUN
fcis-20342	163	49	-	-	ADJ
fcis-20342	163	50	validation	validation	ADJ
fcis-20342	163	51	can	can	AUX
fcis-20342	163	52	be	be	AUX
fcis-20342	163	53	disregarded	disregard	VERB
fcis-20342	163	54	in	in	ADP
fcis-20342	163	55	the	the	DET
fcis-20342	163	56	division	division	NOUN
fcis-20342	163	57	.	.	PUNCT
fcis-20342	164	1	due	due	ADP
fcis-20342	164	2	to	to	ADP
fcis-20342	164	3	the	the	DET
fcis-20342	164	4	total	total	ADJ
fcis-20342	164	5	data	datum	NOUN
fcis-20342	164	6	volume	volume	NOUN
fcis-20342	164	7	of	of	ADP
fcis-20342	164	8	852	852	NUM
fcis-20342	164	9	,	,	PUNCT
fcis-20342	164	10	for	for	ADP
fcis-20342	164	11	the	the	DET
fcis-20342	164	12	use	use	NOUN
fcis-20342	164	13	of	of	ADP
fcis-20342	164	14	project	project	NOUN
fcis-20342	164	15	resources	resource	NOUN
fcis-20342	164	16	,	,	PUNCT
fcis-20342	164	17	leave	leave	VERB
fcis-20342	164	18	one	one	NUM
fcis-20342	164	19	cross	cross	NOUN
fcis-20342	164	20	-	-	NOUN
fcis-20342	164	21	validation	validation	ADJ
fcis-20342	164	22	,	,	PUNCT
fcis-20342	164	23	although	although	SCONJ
fcis-20342	164	24	it	it	PRON
fcis-20342	164	25	can	can	AUX
fcis-20342	164	26	fully	fully	ADV
fcis-20342	164	27	assess	assess	VERB
fcis-20342	164	28	the	the	DET
fcis-20342	164	29	model	model	NOUN
fcis-20342	164	30	performance	performance	NOUN
fcis-20342	164	31	,	,	PUNCT
fcis-20342	164	32	but	but	CCONJ
fcis-20342	164	33	the	the	DET
fcis-20342	164	34	demand	demand	NOUN
fcis-20342	164	35	for	for	ADP
fcis-20342	164	36	computational	computational	ADJ
fcis-20342	164	37	resources	resource	NOUN
fcis-20342	164	38	is	be	AUX
fcis-20342	164	39	too	too	ADV
fcis-20342	164	40	large	large	ADJ
fcis-20342	164	41	to	to	PART
fcis-20342	164	42	be	be	AUX
fcis-20342	164	43	realized	realize	VERB
fcis-20342	164	44	;	;	PUNCT
fcis-20342	164	45	the	the	DET
fcis-20342	164	46	data	datum	NOUN
fcis-20342	164	47	set	set	VERB
fcis-20342	164	48	division	division	NOUN
fcis-20342	164	49	of	of	ADP
fcis-20342	164	50	the	the	DET
fcis-20342	164	51	pdanet	pdanet	NOUN
fcis-20342	164	52	model	model	NOUN
fcis-20342	164	53	is	be	AUX
fcis-20342	164	54	the	the	DET
fcis-20342	164	55	training	training	NOUN
fcis-20342	164	56	set	set	NOUN
fcis-20342	164	57	:	:	PUNCT
fcis-20342	164	58	validation	validation	NOUN
fcis-20342	164	59	set	set	NOUN
fcis-20342	164	60	:	:	PUNCT
fcis-20342	164	61	test	test	NOUN
fcis-20342	164	62	set	set	NOUN
fcis-20342	164	63	is	be	AUX
fcis-20342	164	64	0.7	0.7	NUM
fcis-20342	164	65	:	:	SYM
fcis-20342	164	66	0.1	0.1	NUM
fcis-20342	164	67	:	:	SYM
fcis-20342	164	68	0.2	0.2	NUM
fcis-20342	164	69	,	,	PUNCT
fcis-20342	164	70	at	at	ADP
fcis-20342	164	71	this	this	DET
fcis-20342	164	72	time	time	NOUN
fcis-20342	164	73	,	,	PUNCT
fcis-20342	164	74	the	the	DET
fcis-20342	164	75	training	training	NOUN
fcis-20342	164	76	set	set	NOUN
fcis-20342	164	77	of	of	ADP
fcis-20342	164	78	596	596	NUM
fcis-20342	164	79	pictures	picture	NOUN
fcis-20342	164	80	will	will	AUX
fcis-20342	164	81	be	be	AUX
fcis-20342	164	82	overfitting	overfitte	VERB
fcis-20342	164	83	,	,	PUNCT
fcis-20342	164	84	training	training	NOUN
fcis-20342	164	85	is	be	AUX
fcis-20342	164	86	not	not	PART
fcis-20342	164	87	sufficient	sufficient	ADJ
fcis-20342	164	88	,	,	PUNCT
fcis-20342	164	89	refer	refer	VERB
fcis-20342	164	90	to	to	ADP
fcis-20342	164	91	the	the	DET
fcis-20342	164	92	naps	nap	NOUN
fcis-20342	164	93	and	and	CCONJ
fcis-20342	164	94	iaps	iap	VERB
fcis-20342	164	95	the	the	DET
fcis-20342	164	96	actual	actual	ADJ
fcis-20342	164	97	division	division	NOUN
fcis-20342	164	98	of	of	ADP
fcis-20342	164	99	the	the	DET
fcis-20342	164	100	training	training	NOUN
fcis-20342	164	101	set	set	NOUN
fcis-20342	164	102	is	be	AUX
fcis-20342	164	103	950	950	NUM
fcis-20342	164	104	and	and	CCONJ
fcis-20342	164	105	806	806	NUM
fcis-20342	164	106	pictures	picture	NOUN
fcis-20342	164	107	,	,	PUNCT
fcis-20342	164	108	so	so	SCONJ
fcis-20342	164	109	it	it	PRON
fcis-20342	164	110	is	be	AUX
fcis-20342	164	111	considered	consider	VERB
fcis-20342	164	112	that	that	SCONJ
fcis-20342	164	113	the	the	DET
fcis-20342	164	114	use	use	NOUN
fcis-20342	164	115	of	of	ADP
fcis-20342	164	116	k	k	ADJ
fcis-20342	164	117	-	-	ADJ
fcis-20342	164	118	fold	fold	ADJ
fcis-20342	164	119	cross	cross	NOUN
fcis-20342	164	120	-	-	ADJ
fcis-20342	164	121	validation	validation	ADJ
fcis-20342	164	122	can	can	AUX
fcis-20342	164	123	take	take	VERB
fcis-20342	164	124	into	into	ADP
fcis-20342	164	125	account	account	NOUN
fcis-20342	164	126	the	the	DET
fcis-20342	164	127	actual	actual	ADJ
fcis-20342	164	128	computational	computational	ADJ
fcis-20342	164	129	resources	resource	NOUN
fcis-20342	164	130	and	and	CCONJ
fcis-20342	164	131	model	model	NOUN
fcis-20342	164	132	training	training	NOUN
fcis-20342	164	133	effect	effect	NOUN
fcis-20342	164	134	.	.	PUNCT
fcis-20342	165	1	for	for	ADP
fcis-20342	165	2	the	the	DET
fcis-20342	165	3	k	k	ADJ
fcis-20342	165	4	-	-	ADJ
fcis-20342	165	5	fold	fold	ADJ
fcis-20342	165	6	cross	cross	ADJ
fcis-20342	165	7	-	-	ADJ
fcis-20342	165	8	validation	validation	ADJ
fcis-20342	165	9	method	method	NOUN
fcis-20342	165	10	,	,	PUNCT
fcis-20342	165	11	in	in	ADP
fcis-20342	165	12	practice	practice	NOUN
fcis-20342	165	13	,	,	PUNCT
fcis-20342	165	14	k	k	PROPN
fcis-20342	165	15	is	be	AUX
fcis-20342	165	16	usually	usually	ADV
fcis-20342	165	17	taken	take	VERB
fcis-20342	165	18	as	as	ADP
fcis-20342	165	19	5	5	NUM
fcis-20342	165	20	or	or	CCONJ
fcis-20342	165	21	10	10	NUM
fcis-20342	165	22	,	,	PUNCT
fcis-20342	165	23	and	and	CCONJ
fcis-20342	165	24	the	the	DET
fcis-20342	165	25	number	number	NOUN
fcis-20342	165	26	of	of	ADP
fcis-20342	165	27	samples	sample	NOUN
fcis-20342	165	28	in	in	ADP
fcis-20342	165	29	the	the	DET
fcis-20342	165	30	training	training	NOUN
fcis-20342	165	31	set	set	NOUN
fcis-20342	165	32	is	be	AUX
fcis-20342	165	33	682	682	NUM
fcis-20342	165	34	when	when	SCONJ
fcis-20342	165	35	taking	take	VERB
fcis-20342	165	36	k=5	k=5	PROPN
fcis-20342	165	37	,	,	PUNCT
fcis-20342	165	38	and	and	CCONJ
fcis-20342	165	39	the	the	DET
fcis-20342	165	40	number	number	NOUN
fcis-20342	165	41	of	of	ADP
fcis-20342	165	42	samples	sample	NOUN
fcis-20342	165	43	in	in	ADP
fcis-20342	165	44	the	the	DET
fcis-20342	165	45	training	training	NOUN
fcis-20342	165	46	set	set	NOUN
fcis-20342	165	47	is	be	AUX
fcis-20342	165	48	767	767	NUM
fcis-20342	165	49	when	when	SCONJ
fcis-20342	165	50	taking	take	VERB
fcis-20342	165	51	k=10	k=10	NOUN
fcis-20342	165	52	,	,	PUNCT
fcis-20342	165	53	in	in	ADP
fcis-20342	165	54	order	order	NOUN
fcis-20342	165	55	to	to	PART
fcis-20342	165	56	ensure	ensure	VERB
fcis-20342	165	57	the	the	DET
fcis-20342	165	58	accuracy	accuracy	NOUN
fcis-20342	165	59	of	of	ADP
fcis-20342	165	60	the	the	DET
fcis-20342	165	61	model	model	NOUN
fcis-20342	165	62	,	,	PUNCT
fcis-20342	165	63	the	the	DET
fcis-20342	165	64	10	10	NUM
fcis-20342	165	65	-	-	ADJ
fcis-20342	165	66	fold	fold	ADJ
fcis-20342	165	67	crossvalidation	crossvalidation	NOUN
fcis-20342	165	68	method	method	NOUN
fcis-20342	165	69	is	be	AUX
fcis-20342	165	70	used	use	VERB
fcis-20342	165	71	to	to	PART
fcis-20342	165	72	alleviate	alleviate	VERB
fcis-20342	165	73	the	the	DET
fcis-20342	165	74	overfitting	overfitting	ADJ
fcis-20342	165	75	problem	problem	NOUN
fcis-20342	165	76	of	of	ADP
fcis-20342	165	77	the	the	DET
fcis-20342	165	78	model	model	NOUN
fcis-20342	165	79	in	in	ADP
fcis-20342	165	80	this	this	DET
fcis-20342	165	81	study	study	NOUN
fcis-20342	165	82	.	.	PUNCT
fcis-20342	166	1	29	29	NUM
fcis-20342	166	2	4.6	4.6	NUM
fcis-20342	166	3	.	.	PUNCT
fcis-20342	167	1	paired	pair	VERB
fcis-20342	167	2	samples	sample	NOUN
fcis-20342	167	3	t	t	NOUN
fcis-20342	167	4	-	-	PUNCT
fcis-20342	167	5	test	test	NOUN
fcis-20342	167	6	from	from	ADP
fcis-20342	167	7	the	the	DET
fcis-20342	167	8	perspective	perspective	NOUN
fcis-20342	167	9	of	of	ADP
fcis-20342	167	10	psychological	psychological	ADJ
fcis-20342	167	11	research	research	NOUN
fcis-20342	167	12	,	,	PUNCT
fcis-20342	167	13	the	the	DET
fcis-20342	167	14	pairedsample	pairedsample	NOUN
fcis-20342	167	15	t	t	PROPN
fcis-20342	167	16	-	-	PUNCT
fcis-20342	167	17	test	test	NOUN
fcis-20342	167	18	is	be	AUX
fcis-20342	167	19	used	use	VERB
fcis-20342	167	20	to	to	PART
fcis-20342	167	21	analyze	analyze	VERB
fcis-20342	167	22	the	the	DET
fcis-20342	167	23	predicted	predict	VERB
fcis-20342	167	24	results	result	NOUN
fcis-20342	167	25	of	of	ADP
fcis-20342	167	26	the	the	DET
fcis-20342	167	27	caps	cap	NOUN
fcis-20342	167	28	training	training	NOUN
fcis-20342	167	29	model	model	NOUN
fcis-20342	167	30	with	with	ADP
fcis-20342	167	31	the	the	DET
fcis-20342	167	32	actual	actual	ADJ
fcis-20342	167	33	results	result	NOUN
fcis-20342	167	34	,	,	PUNCT
fcis-20342	167	35	to	to	PART
fcis-20342	167	36	accurately	accurately	ADV
fcis-20342	167	37	analyze	analyze	VERB
fcis-20342	167	38	and	and	CCONJ
fcis-20342	167	39	test	test	VERB
fcis-20342	167	40	the	the	DET
fcis-20342	167	41	correlation	correlation	NOUN
fcis-20342	167	42	and	and	CCONJ
fcis-20342	167	43	variability	variability	NOUN
fcis-20342	167	44	,	,	PUNCT
fcis-20342	167	45	and	and	CCONJ
fcis-20342	167	46	to	to	PART
fcis-20342	167	47	evaluate	evaluate	VERB
fcis-20342	167	48	the	the	DET
fcis-20342	167	49	value	value	NOUN
fcis-20342	167	50	of	of	ADP
fcis-20342	167	51	the	the	DET
fcis-20342	167	52	model	model	NOUN
fcis-20342	167	53	learning	learn	VERB
fcis-20342	167	54	results	result	NOUN
fcis-20342	167	55	of	of	ADP
fcis-20342	167	56	this	this	DET
fcis-20342	167	57	paper	paper	NOUN
fcis-20342	167	58	in	in	ADP
fcis-20342	167	59	the	the	DET
fcis-20342	167	60	psychological	psychological	ADJ
fcis-20342	167	61	perspective	perspective	NOUN
fcis-20342	167	62	.	.	PUNCT
fcis-20342	168	1	the	the	DET
fcis-20342	168	2	paired	pair	VERB
fcis-20342	168	3	-	-	PUNCT
fcis-20342	168	4	samples	sample	NOUN
fcis-20342	168	5	t	t	NOUN
fcis-20342	168	6	-	-	PUNCT
fcis-20342	168	7	test	test	NOUN
fcis-20342	168	8	is	be	AUX
fcis-20342	168	9	a	a	DET
fcis-20342	168	10	statistical	statistical	ADJ
fcis-20342	168	11	method	method	NOUN
fcis-20342	168	12	used	use	VERB
fcis-20342	168	13	to	to	PART
fcis-20342	168	14	test	test	VERB
fcis-20342	168	15	whether	whether	SCONJ
fcis-20342	168	16	there	there	PRON
fcis-20342	168	17	is	be	VERB
fcis-20342	168	18	variability	variability	NOUN
fcis-20342	168	19	in	in	ADP
fcis-20342	168	20	paired	pair	VERB
fcis-20342	168	21	quantitative	quantitative	ADJ
fcis-20342	168	22	data	datum	NOUN
fcis-20342	168	23	in	in	ADP
fcis-20342	168	24	paired	pair	VERB
fcis-20342	168	25	design	design	NOUN
fcis-20342	168	26	experiments	experiment	NOUN
fcis-20342	168	27	.	.	PUNCT
fcis-20342	169	1	between	between	ADP
fcis-20342	169	2	the	the	DET
fcis-20342	169	3	predicted	predict	VERB
fcis-20342	169	4	and	and	CCONJ
fcis-20342	169	5	actual	actual	ADJ
fcis-20342	169	6	results	result	NOUN
fcis-20342	169	7	of	of	ADP
fcis-20342	169	8	the	the	DET
fcis-20342	169	9	model	model	NOUN
fcis-20342	169	10	in	in	ADP
fcis-20342	169	11	this	this	DET
fcis-20342	169	12	paper	paper	NOUN
fcis-20342	169	13	,	,	PUNCT
fcis-20342	169	14	which	which	PRON
fcis-20342	169	15	can	can	AUX
fcis-20342	169	16	be	be	AUX
fcis-20342	169	17	regarded	regard	VERB
fcis-20342	169	18	as	as	ADP
fcis-20342	169	19	the	the	DET
fcis-20342	169	20	results	result	NOUN
fcis-20342	169	21	of	of	ADP
fcis-20342	169	22	two	two	NUM
fcis-20342	169	23	different	different	ADJ
fcis-20342	169	24	methods	method	NOUN
fcis-20342	169	25	of	of	ADP
fcis-20342	169	26	testing	testing	NOUN
fcis-20342	169	27	for	for	ADP
fcis-20342	169	28	the	the	DET
fcis-20342	169	29	same	same	ADJ
fcis-20342	169	30	sample	sample	NOUN
fcis-20342	169	31	,	,	PUNCT
fcis-20342	169	32	the	the	DET
fcis-20342	169	33	difference	difference	NOUN
fcis-20342	169	34	and	and	CCONJ
fcis-20342	169	35	correlation	correlation	NOUN
fcis-20342	169	36	between	between	ADP
fcis-20342	169	37	these	these	DET
fcis-20342	169	38	two	two	NUM
fcis-20342	169	39	results	result	NOUN
fcis-20342	169	40	can	can	AUX
fcis-20342	169	41	be	be	AUX
fcis-20342	169	42	judged	judge	VERB
fcis-20342	169	43	.	.	PUNCT
fcis-20342	170	1	5	5	X
fcis-20342	170	2	.	.	X
fcis-20342	170	3	experiment	experiment	NOUN
fcis-20342	170	4	5.1	5.1	NUM
fcis-20342	170	5	.	.	PUNCT
fcis-20342	171	1	dataset	dataset	VERB
fcis-20342	171	2	in	in	ADP
fcis-20342	171	3	this	this	DET
fcis-20342	171	4	paper	paper	NOUN
fcis-20342	171	5	's	's	PART
fcis-20342	171	6	improved	improve	VERB
fcis-20342	171	7	multiple	multiple	ADJ
fcis-20342	171	8	attention	attention	NOUN
fcis-20342	171	9	network	network	NOUN
fcis-20342	171	10	versus	versus	ADP
fcis-20342	171	11	the	the	DET
fcis-20342	171	12	classical	classical	ADJ
fcis-20342	171	13	model	model	NOUN
fcis-20342	171	14	,	,	PUNCT
fcis-20342	171	15	the	the	DET
fcis-20342	171	16	iaps	iap	NOUN
fcis-20342	171	17	and	and	CCONJ
fcis-20342	171	18	naps	nap	NOUN
fcis-20342	171	19	datasets	dataset	NOUN
fcis-20342	171	20	are	be	AUX
fcis-20342	171	21	used	use	VERB
fcis-20342	171	22	,	,	PUNCT
fcis-20342	171	23	and	and	CCONJ
fcis-20342	171	24	the	the	DET
fcis-20342	171	25	revised	revise	VERB
fcis-20342	171	26	caps	cap	NOUN
fcis-20342	171	27	is	be	AUX
fcis-20342	171	28	described	describe	VERB
fcis-20342	171	29	in	in	ADP
fcis-20342	171	30	the	the	DET
fcis-20342	171	31	previous	previous	ADJ
fcis-20342	171	32	section	section	NOUN
fcis-20342	171	33	.	.	PUNCT
fcis-20342	172	1	iaps	iap	NOUN
fcis-20342	172	2	:	:	PUNCT
fcis-20342	172	3	i.e.	i.e.	X
fcis-20342	172	4	,	,	PUNCT
fcis-20342	172	5	international	international	ADJ
fcis-20342	172	6	affective	affective	ADJ
fcis-20342	172	7	picture	picture	NOUN
fcis-20342	172	8	system	system	NOUN
fcis-20342	173	1	[	[	X
fcis-20342	173	2	22	22	NUM
fcis-20342	173	3	]	]	PUNCT
fcis-20342	173	4	is	be	AUX
fcis-20342	173	5	a	a	DET
fcis-20342	173	6	quantitatively	quantitatively	ADV
fcis-20342	173	7	rated	rate	VERB
fcis-20342	173	8	system	system	NOUN
fcis-20342	173	9	of	of	ADP
fcis-20342	173	10	emotionally	emotionally	ADV
fcis-20342	173	11	stimulating	stimulate	VERB
fcis-20342	173	12	pictures	picture	NOUN
fcis-20342	173	13	compiled	compile	VERB
fcis-20342	173	14	by	by	ADP
fcis-20342	173	15	the	the	DET
fcis-20342	173	16	center	center	NOUN
fcis-20342	173	17	for	for	ADP
fcis-20342	173	18	emotion	emotion	NOUN
fcis-20342	173	19	and	and	CCONJ
fcis-20342	173	20	attention	attention	NOUN
fcis-20342	173	21	research	research	NOUN
fcis-20342	173	22	at	at	ADP
fcis-20342	173	23	nimh	nimh	PROPN
fcis-20342	173	24	(	(	PUNCT
fcis-20342	173	25	national	national	PROPN
fcis-20342	173	26	institute	institute	PROPN
fcis-20342	173	27	of	of	ADP
fcis-20342	173	28	mental	mental	ADJ
fcis-20342	173	29	health	health	NOUN
fcis-20342	173	30	)	)	PUNCT
fcis-20342	173	31	.	.	PUNCT
fcis-20342	174	1	it	it	PRON
fcis-20342	174	2	is	be	AUX
fcis-20342	174	3	a	a	DET
fcis-20342	174	4	selection	selection	NOUN
fcis-20342	174	5	of	of	ADP
fcis-20342	174	6	standardized	standardized	ADJ
fcis-20342	174	7	and	and	CCONJ
fcis-20342	174	8	emotionally	emotionally	ADV
fcis-20342	174	9	arousing	arouse	VERB
fcis-20342	174	10	color	color	NOUN
fcis-20342	174	11	photographs	photograph	NOUN
fcis-20342	174	12	from	from	ADP
fcis-20342	174	13	different	different	ADJ
fcis-20342	174	14	domains	domain	NOUN
fcis-20342	174	15	that	that	PRON
fcis-20342	174	16	have	have	AUX
fcis-20342	174	17	been	be	AUX
fcis-20342	174	18	rigorously	rigorously	ADV
fcis-20342	174	19	screened	screen	VERB
fcis-20342	174	20	and	and	CCONJ
fcis-20342	174	21	rated	rate	VERB
fcis-20342	174	22	.	.	PUNCT
fcis-20342	175	1	based	base	VERB
fcis-20342	175	2	on	on	ADP
fcis-20342	175	3	osgood	osgood	PROPN
fcis-20342	175	4	et	et	PROPN
fcis-20342	175	5	al	al	PROPN
fcis-20342	175	6	.	.	PROPN
fcis-20342	175	7	's	's	PART
fcis-20342	175	8	theory	theory	NOUN
fcis-20342	175	9	of	of	ADP
fcis-20342	175	10	emotional	emotional	ADJ
fcis-20342	175	11	dimensions	dimension	NOUN
fcis-20342	175	12	,	,	PUNCT
fcis-20342	175	13	the	the	DET
fcis-20342	175	14	iaps	iap	NOUN
fcis-20342	175	15	was	be	AUX
fcis-20342	175	16	developed	develop	VERB
fcis-20342	175	17	using	use	VERB
fcis-20342	175	18	a	a	DET
fcis-20342	175	19	9point	9point	NUM
fcis-20342	175	20	scale	scale	NOUN
fcis-20342	175	21	based	base	VERB
fcis-20342	175	22	on	on	ADP
fcis-20342	175	23	self	self	NOUN
fcis-20342	175	24	-	-	PUNCT
fcis-20342	175	25	reported	report	VERB
fcis-20342	175	26	ratings	rating	NOUN
fcis-20342	175	27	of	of	ADP
fcis-20342	175	28	valence	valence	NOUN
fcis-20342	175	29	,	,	PUNCT
fcis-20342	175	30	arousal	arousal	NOUN
fcis-20342	175	31	,	,	PUNCT
fcis-20342	175	32	and	and	CCONJ
fcis-20342	175	33	dominance	dominance	NOUN
fcis-20342	175	34	to	to	PART
fcis-20342	175	35	create	create	VERB
fcis-20342	175	36	a	a	DET
fcis-20342	175	37	standardized	standardized	ADJ
fcis-20342	175	38	emotional	emotional	ADJ
fcis-20342	175	39	stimulus	stimulus	ADJ
fcis-20342	175	40	system	system	NOUN
fcis-20342	175	41	.	.	PUNCT
fcis-20342	176	1	since	since	SCONJ
fcis-20342	176	2	its	its	PRON
fcis-20342	176	3	introduction	introduction	NOUN
fcis-20342	176	4	,	,	PUNCT
fcis-20342	176	5	the	the	DET
fcis-20342	176	6	iaps	iap	NOUN
fcis-20342	176	7	has	have	AUX
fcis-20342	176	8	played	play	VERB
fcis-20342	176	9	an	an	DET
fcis-20342	176	10	important	important	ADJ
fcis-20342	176	11	role	role	NOUN
fcis-20342	176	12	in	in	ADP
fcis-20342	176	13	research	research	NOUN
fcis-20342	176	14	in	in	ADP
fcis-20342	176	15	the	the	DET
fcis-20342	176	16	field	field	NOUN
fcis-20342	176	17	of	of	ADP
fcis-20342	176	18	emotion	emotion	NOUN
fcis-20342	176	19	and	and	CCONJ
fcis-20342	176	20	attention	attention	NOUN
fcis-20342	176	21	,	,	PUNCT
fcis-20342	176	22	and	and	CCONJ
fcis-20342	176	23	has	have	AUX
fcis-20342	176	24	been	be	AUX
fcis-20342	176	25	widely	widely	ADV
fcis-20342	176	26	used	use	VERB
fcis-20342	176	27	in	in	ADP
fcis-20342	176	28	basic	basic	ADJ
fcis-20342	176	29	and	and	CCONJ
fcis-20342	176	30	applied	apply	VERB
fcis-20342	176	31	research	research	NOUN
fcis-20342	176	32	in	in	ADP
fcis-20342	176	33	related	related	ADJ
fcis-20342	176	34	directions	direction	NOUN
fcis-20342	177	1	[	[	X
fcis-20342	177	2	38	38	NUM
fcis-20342	177	3	]	]	PUNCT
fcis-20342	177	4	.	.	PUNCT
fcis-20342	178	1	the	the	DET
fcis-20342	178	2	iaps	iaps	PROPN
fcis-20342	178	3	dataset	dataset	VERB
fcis-20342	178	4	used	use	VERB
fcis-20342	178	5	in	in	ADP
fcis-20342	178	6	this	this	DET
fcis-20342	178	7	project	project	NOUN
fcis-20342	178	8	totaled	total	VERB
fcis-20342	178	9	1182	1182	NUM
fcis-20342	178	10	images	image	NOUN
fcis-20342	178	11	,	,	PUNCT
fcis-20342	178	12	using	use	VERB
fcis-20342	178	13	data	datum	NOUN
fcis-20342	178	14	with	with	ADP
fcis-20342	178	15	vad	vad	PROPN
fcis-20342	178	16	averaging	averaging	NOUN
fcis-20342	178	17	and	and	CCONJ
fcis-20342	178	18	precision	precision	NOUN
fcis-20342	178	19	to	to	ADP
fcis-20342	178	20	2	2	NUM
fcis-20342	178	21	decimal	decimal	ADJ
fcis-20342	178	22	places	place	NOUN
fcis-20342	178	23	.	.	PUNCT
fcis-20342	179	1	naps	nap	NOUN
fcis-20342	179	2	:	:	PUNCT
fcis-20342	179	3	i.e.	i.e.	X
fcis-20342	179	4	,	,	PUNCT
fcis-20342	179	5	nencki	nencki	ADJ
fcis-20342	179	6	affective	affective	ADJ
fcis-20342	179	7	picture	picture	NOUN
fcis-20342	179	8	system	system	NOUN
fcis-20342	179	9	(	(	PUNCT
fcis-20342	179	10	naps	nap	NOUN
fcis-20342	179	11	)	)	PUNCT
fcis-20342	180	1	[	[	X
fcis-20342	180	2	39	39	NUM
fcis-20342	180	3	]	]	PUNCT
fcis-20342	180	4	,	,	PUNCT
fcis-20342	180	5	which	which	PRON
fcis-20342	180	6	consists	consist	VERB
fcis-20342	180	7	of	of	ADP
fcis-20342	180	8	1356	1356	NUM
fcis-20342	180	9	realistic	realistic	ADJ
fcis-20342	180	10	,	,	PUNCT
fcis-20342	180	11	high	high	ADJ
fcis-20342	180	12	-	-	PUNCT
fcis-20342	180	13	quality	quality	NOUN
fcis-20342	180	14	photographs	photograph	NOUN
fcis-20342	180	15	divided	divide	VERB
fcis-20342	180	16	into	into	ADP
fcis-20342	180	17	five	five	NUM
fcis-20342	180	18	categories	category	NOUN
fcis-20342	180	19	(	(	PUNCT
fcis-20342	180	20	people	people	NOUN
fcis-20342	180	21	,	,	PUNCT
fcis-20342	180	22	faces	face	NOUN
fcis-20342	180	23	,	,	PUNCT
fcis-20342	180	24	animals	animal	NOUN
fcis-20342	180	25	,	,	PUNCT
fcis-20342	180	26	objects	object	NOUN
fcis-20342	180	27	,	,	PUNCT
fcis-20342	180	28	and	and	CCONJ
fcis-20342	180	29	landscapes	landscape	NOUN
fcis-20342	180	30	)	)	PUNCT
fcis-20342	180	31	.	.	PUNCT
fcis-20342	181	1	ratings	rating	NOUN
fcis-20342	181	2	were	be	AUX
fcis-20342	181	3	collected	collect	VERB
fcis-20342	181	4	from	from	ADP
fcis-20342	181	5	204	204	NUM
fcis-20342	181	6	participants	participant	NOUN
fcis-20342	181	7	,	,	PUNCT
fcis-20342	181	8	most	most	ADJ
fcis-20342	181	9	of	of	ADP
fcis-20342	181	10	whom	whom	PRON
fcis-20342	181	11	were	be	AUX
fcis-20342	181	12	european	european	ADJ
fcis-20342	181	13	.	.	PUNCT
fcis-20342	182	1	images	image	NOUN
fcis-20342	182	2	were	be	AUX
fcis-20342	182	3	rated	rate	VERB
fcis-20342	182	4	according	accord	VERB
fcis-20342	182	5	to	to	ADP
fcis-20342	182	6	validity	validity	NOUN
fcis-20342	182	7	,	,	PUNCT
fcis-20342	182	8	arousal	arousal	NOUN
fcis-20342	182	9	and	and	CCONJ
fcis-20342	182	10	dominance	dominance	NOUN
fcis-20342	182	11	using	use	VERB
fcis-20342	182	12	a	a	DET
fcis-20342	182	13	computerized	computerized	ADJ
fcis-20342	182	14	bipolar	bipolar	ADJ
fcis-20342	182	15	semantic	semantic	ADJ
fcis-20342	182	16	slider	slider	NOUN
fcis-20342	182	17	scale	scale	NOUN
fcis-20342	182	18	.	.	PUNCT
fcis-20342	183	1	normative	normative	ADJ
fcis-20342	183	2	ratings	rating	NOUN
fcis-20342	183	3	of	of	ADP
fcis-20342	183	4	categories	category	NOUN
fcis-20342	183	5	were	be	AUX
fcis-20342	183	6	given	give	VERB
fcis-20342	183	7	for	for	ADP
fcis-20342	183	8	each	each	DET
fcis-20342	183	9	dimension	dimension	NOUN
fcis-20342	183	10	.	.	PUNCT
fcis-20342	184	1	ratings	rating	NOUN
fcis-20342	184	2	were	be	AUX
fcis-20342	184	3	validated	validate	VERB
fcis-20342	184	4	by	by	ADP
fcis-20342	184	5	comparing	compare	VERB
fcis-20342	184	6	them	they	PRON
fcis-20342	184	7	to	to	ADP
fcis-20342	184	8	ratings	rating	NOUN
fcis-20342	184	9	generated	generate	VERB
fcis-20342	184	10	using	use	VERB
fcis-20342	184	11	a	a	DET
fcis-20342	184	12	self	self	NOUN
fcis-20342	184	13	-	-	PUNCT
fcis-20342	184	14	assessment	assessment	NOUN
fcis-20342	184	15	model	model	NOUN
fcis-20342	184	16	and	and	CCONJ
fcis-20342	184	17	the	the	DET
fcis-20342	184	18	international	international	ADJ
fcis-20342	184	19	affective	affective	ADJ
fcis-20342	184	20	picture	picture	NOUN
fcis-20342	184	21	system	system	NOUN
fcis-20342	184	22	.	.	PUNCT
fcis-20342	185	1	in	in	ADP
fcis-20342	185	2	addition	addition	NOUN
fcis-20342	185	3	,	,	PUNCT
fcis-20342	185	4	the	the	DET
fcis-20342	185	5	data	datum	NOUN
fcis-20342	185	6	includes	include	VERB
fcis-20342	185	7	the	the	DET
fcis-20342	185	8	physical	physical	ADJ
fcis-20342	185	9	attributes	attribute	NOUN
fcis-20342	185	10	of	of	ADP
fcis-20342	185	11	the	the	DET
fcis-20342	185	12	photographs	photograph	NOUN
fcis-20342	185	13	,	,	PUNCT
fcis-20342	185	14	including	include	VERB
fcis-20342	185	15	brightness	brightness	NOUN
fcis-20342	185	16	,	,	PUNCT
fcis-20342	185	17	contrast	contrast	NOUN
fcis-20342	185	18	,	,	PUNCT
fcis-20342	185	19	and	and	CCONJ
fcis-20342	185	20	entropy	entropy	PROPN
fcis-20342	185	21	.	.	PUNCT
fcis-20342	186	1	this	this	DET
fcis-20342	186	2	dataset	dataset	NOUN
fcis-20342	186	3	will	will	AUX
fcis-20342	186	4	be	be	AUX
fcis-20342	186	5	used	use	VERB
fcis-20342	186	6	in	in	ADP
fcis-20342	186	7	this	this	DET
fcis-20342	186	8	paper	paper	NOUN
fcis-20342	186	9	to	to	PART
fcis-20342	186	10	validate	validate	VERB
fcis-20342	186	11	the	the	DET
fcis-20342	186	12	effect	effect	NOUN
fcis-20342	186	13	of	of	ADP
fcis-20342	186	14	cross	cross	ADJ
fcis-20342	186	15	-	-	ADJ
fcis-20342	186	16	cultural	cultural	ADJ
fcis-20342	186	17	influences	influence	NOUN
fcis-20342	186	18	on	on	ADP
fcis-20342	186	19	model	model	NOUN
fcis-20342	186	20	generalization	generalization	NOUN
fcis-20342	186	21	,	,	PUNCT
fcis-20342	186	22	and	and	CCONJ
fcis-20342	186	23	the	the	DET
fcis-20342	186	24	associated	associated	ADJ
fcis-20342	186	25	data	data	NOUN
fcis-20342	186	26	labeling	labeling	NOUN
fcis-20342	186	27	accuracy	accuracy	NOUN
fcis-20342	186	28	is	be	AUX
fcis-20342	186	29	consistent	consistent	ADJ
fcis-20342	186	30	with	with	ADP
fcis-20342	186	31	the	the	DET
fcis-20342	186	32	iaps	iap	NOUN
fcis-20342	186	33	.	.	PUNCT
fcis-20342	187	1	5.2	5.2	NUM
fcis-20342	187	2	.	.	PUNCT
fcis-20342	188	1	implementation	implementation	NOUN
fcis-20342	188	2	details	detail	NOUN
fcis-20342	188	3	for	for	ADP
fcis-20342	188	4	the	the	DET
fcis-20342	188	5	software	software	NOUN
fcis-20342	188	6	part	part	NOUN
fcis-20342	188	7	,	,	PUNCT
fcis-20342	188	8	the	the	DET
fcis-20342	188	9	improved	improved	ADJ
fcis-20342	188	10	model	model	NOUN
fcis-20342	188	11	in	in	ADP
fcis-20342	188	12	this	this	DET
fcis-20342	188	13	paper	paper	NOUN
fcis-20342	188	14	is	be	AUX
fcis-20342	188	15	based	base	VERB
fcis-20342	188	16	on	on	ADP
fcis-20342	188	17	the	the	DET
fcis-20342	188	18	pytorch	pytorch	NOUN
fcis-20342	188	19	framework	framework	NOUN
fcis-20342	188	20	,	,	PUNCT
fcis-20342	188	21	version	version	NOUN
fcis-20342	188	22	pytorch	pytorch	NOUN
fcis-20342	188	23	1.8	1.8	NUM
fcis-20342	188	24	;	;	PUNCT
fcis-20342	188	25	the	the	DET
fcis-20342	188	26	language	language	NOUN
fcis-20342	188	27	used	use	VERB
fcis-20342	188	28	is	be	AUX
fcis-20342	188	29	python	python	NOUN
fcis-20342	188	30	3.8.5	3.8.5	NUM
fcis-20342	188	31	,	,	PUNCT
fcis-20342	188	32	the	the	DET
fcis-20342	188	33	operating	operating	NOUN
fcis-20342	188	34	system	system	NOUN
fcis-20342	188	35	is	be	AUX
fcis-20342	188	36	ubuntu	ubuntu	ADJ
fcis-20342	188	37	18.04.5	18.04.5	NUM
fcis-20342	188	38	lts	lts	VERB
fcis-20342	188	39	64	64	NUM
fcis-20342	188	40	-	-	PUNCT
fcis-20342	188	41	bit	bit	NOUN
fcis-20342	188	42	,	,	PUNCT
fcis-20342	188	43	using	use	VERB
fcis-20342	188	44	cuda	cuda	NOUN
fcis-20342	188	45	11.0	11.0	NUM
fcis-20342	188	46	,	,	PUNCT
fcis-20342	188	47	cudnn	cudnn	NOUN
fcis-20342	188	48	8.0.4	8.0.4	NUM
fcis-20342	188	49	,	,	PUNCT
fcis-20342	188	50	and	and	CCONJ
fcis-20342	188	51	the	the	DET
fcis-20342	188	52	programming	programming	NOUN
fcis-20342	188	53	platform	platform	NOUN
fcis-20342	188	54	used	use	VERB
fcis-20342	188	55	is	be	AUX
fcis-20342	188	56	pycharm	pycharm	VERB
fcis-20342	188	57	community	community	NOUN
fcis-20342	188	58	.	.	PUNCT
fcis-20342	189	1	for	for	ADP
fcis-20342	189	2	the	the	DET
fcis-20342	189	3	hardware	hardware	NOUN
fcis-20342	189	4	part	part	NOUN
fcis-20342	189	5	,	,	PUNCT
fcis-20342	189	6	the	the	DET
fcis-20342	189	7	cpu	cpu	NOUN
fcis-20342	189	8	used	use	VERB
fcis-20342	189	9	in	in	ADP
fcis-20342	189	10	this	this	DET
fcis-20342	189	11	experiment	experiment	NOUN
fcis-20342	189	12	is	be	AUX
fcis-20342	189	13	intel	intel	PROPN
fcis-20342	189	14	xeon(r	xeon(r	PROPN
fcis-20342	189	15	)	)	PUNCT
fcis-20342	189	16	gold	gold	NOUN
fcis-20342	189	17	6130	6130	NUM
fcis-20342	189	18	@2.10ghz	@2.10ghz	NOUN
fcis-20342	189	19	,	,	PUNCT
fcis-20342	189	20	12	12	NUM
fcis-20342	189	21	-	-	PUNCT
fcis-20342	189	22	core	core	NOUN
fcis-20342	189	23	processor	processor	NOUN
fcis-20342	189	24	,	,	PUNCT
fcis-20342	189	25	with	with	ADP
fcis-20342	189	26	28	28	NUM
fcis-20342	189	27	gb	gb	NOUN
fcis-20342	189	28	of	of	ADP
fcis-20342	189	29	ram	ram	NOUN
fcis-20342	189	30	,	,	PUNCT
fcis-20342	189	31	and	and	CCONJ
fcis-20342	189	32	2	2	NUM
fcis-20342	189	33	rtx	rtx	NOUN
fcis-20342	189	34	2080ti	2080ti	ADJ
fcis-20342	189	35	graphics	graphic	NOUN
fcis-20342	189	36	cards	card	NOUN
fcis-20342	189	37	with	with	ADP
fcis-20342	189	38	a	a	DET
fcis-20342	189	39	total	total	NOUN
fcis-20342	189	40	of	of	ADP
fcis-20342	189	41	22	22	NUM
fcis-20342	189	42	gb	gb	NOUN
fcis-20342	189	43	of	of	ADP
fcis-20342	189	44	video	video	NOUN
fcis-20342	189	45	memory	memory	NOUN
fcis-20342	189	46	.	.	PUNCT
fcis-20342	190	1	for	for	ADP
fcis-20342	190	2	the	the	DET
fcis-20342	190	3	model	model	NOUN
fcis-20342	190	4	training	training	NOUN
fcis-20342	190	5	part	part	NOUN
fcis-20342	190	6	,	,	PUNCT
fcis-20342	190	7	the	the	DET
fcis-20342	190	8	resnet101	resnet101	PROPN
fcis-20342	190	9	backbone	backbone	NOUN
fcis-20342	190	10	is	be	AUX
fcis-20342	190	11	frozen	frozen	ADJ
fcis-20342	190	12	and	and	CCONJ
fcis-20342	190	13	the	the	DET
fcis-20342	190	14	later	later	ADJ
fcis-20342	190	15	part	part	NOUN
fcis-20342	190	16	is	be	AUX
fcis-20342	190	17	trained	train	VERB
fcis-20342	190	18	;	;	PUNCT
fcis-20342	190	19	using	use	VERB
fcis-20342	190	20	a	a	DET
fcis-20342	190	21	weight	weight	NOUN
fcis-20342	190	22	decay	decay	NOUN
fcis-20342	190	23	of	of	ADP
fcis-20342	190	24	0.0005	0.0005	NUM
fcis-20342	190	25	,	,	PUNCT
fcis-20342	190	26	momentum	momentum	NOUN
fcis-20342	190	27	of	of	ADP
fcis-20342	190	28	0.9	0.9	NUM
fcis-20342	190	29	,	,	PUNCT
fcis-20342	190	30	batch	batch	NOUN
fcis-20342	190	31	size	size	NOUN
fcis-20342	190	32	of	of	ADP
fcis-20342	190	33	32	32	NUM
fcis-20342	190	34	,	,	PUNCT
fcis-20342	190	35	and	and	CCONJ
fcis-20342	190	36	fine	fine	ADV
fcis-20342	190	37	-	-	PUNCT
fcis-20342	190	38	tuning	tune	VERB
fcis-20342	190	39	all	all	DET
fcis-20342	190	40	layers	layer	NOUN
fcis-20342	190	41	using	use	VERB
fcis-20342	190	42	sgd	sgd	PROPN
fcis-20342	190	43	.	.	PUNCT
fcis-20342	191	1	the	the	DET
fcis-20342	191	2	learning	learning	NOUN
fcis-20342	191	3	rate	rate	NOUN
fcis-20342	191	4	of	of	ADP
fcis-20342	191	5	the	the	DET
fcis-20342	191	6	convolutional	convolutional	ADJ
fcis-20342	191	7	layer	layer	NOUN
fcis-20342	191	8	and	and	CCONJ
fcis-20342	191	9	the	the	DET
fcis-20342	191	10	last	last	ADJ
fcis-20342	191	11	fully	fully	ADV
fcis-20342	191	12	-	-	PUNCT
fcis-20342	191	13	connected	connect	VERB
fcis-20342	191	14	layer	layer	NOUN
fcis-20342	191	15	were	be	AUX
fcis-20342	191	16	initialized	initialize	VERB
fcis-20342	191	17	to	to	ADP
fcis-20342	191	18	0.001	0.001	NUM
fcis-20342	191	19	and	and	CCONJ
fcis-20342	191	20	0.01	0.01	NUM
fcis-20342	191	21	,	,	PUNCT
fcis-20342	191	22	respectively	respectively	ADV
fcis-20342	191	23	.	.	PUNCT
fcis-20342	192	1	for	for	ADP
fcis-20342	192	2	all	all	DET
fcis-20342	192	3	datasets	dataset	NOUN
fcis-20342	192	4	,	,	PUNCT
fcis-20342	192	5	the	the	DET
fcis-20342	192	6	total	total	ADJ
fcis-20342	192	7	number	number	NOUN
fcis-20342	192	8	of	of	ADP
fcis-20342	192	9	epochs	epoch	NOUN
fcis-20342	192	10	was	be	AUX
fcis-20342	192	11	300	300	NUM
fcis-20342	192	12	,	,	PUNCT
fcis-20342	192	13	and	and	CCONJ
fcis-20342	192	14	the	the	DET
fcis-20342	192	15	learning	learning	NOUN
fcis-20342	192	16	rate	rate	NOUN
fcis-20342	192	17	was	be	AUX
fcis-20342	192	18	decreased	decrease	VERB
fcis-20342	192	19	by	by	ADP
fcis-20342	192	20	a	a	DET
fcis-20342	192	21	factor	factor	NOUN
fcis-20342	192	22	of	of	ADP
fcis-20342	192	23	10	10	NUM
fcis-20342	192	24	for	for	ADP
fcis-20342	192	25	the	the	DET
fcis-20342	192	26	last	last	ADJ
fcis-20342	192	27	50	50	NUM
fcis-20342	192	28	epochs	epoch	NOUN
fcis-20342	192	29	.	.	PUNCT
fcis-20342	193	1	5.3	5.3	NUM
fcis-20342	193	2	.	.	PUNCT
fcis-20342	193	3	evaluation	evaluation	NOUN
fcis-20342	193	4	indicators	indicator	NOUN
fcis-20342	193	5	mean	mean	VERB
fcis-20342	193	6	square	square	ADJ
fcis-20342	193	7	error	error	NOUN
fcis-20342	193	8	(	(	PUNCT
fcis-20342	193	9	mse	mse	NOUN
fcis-20342	193	10	)	)	PUNCT
fcis-20342	193	11	and	and	CCONJ
fcis-20342	193	12	r	r	NOUN
fcis-20342	193	13	-	-	PUNCT
fcis-20342	193	14	squared	square	VERB
fcis-20342	193	15	(	(	PUNCT
fcis-20342	193	16	r2	r2	PROPN
fcis-20342	193	17	)	)	PUNCT
fcis-20342	193	18	were	be	AUX
fcis-20342	193	19	used	use	VERB
fcis-20342	193	20	to	to	PART
fcis-20342	193	21	assess	assess	VERB
fcis-20342	193	22	the	the	DET
fcis-20342	193	23	results	result	NOUN
fcis-20342	193	24	of	of	ADP
fcis-20342	193	25	the	the	DET
fcis-20342	193	26	visual	visual	ADJ
fcis-20342	193	27	affect	affect	VERB
fcis-20342	193	28	regression	regression	NOUN
fcis-20342	193	29	.	.	PUNCT
fcis-20342	194	1	mse	mse	PROPN
fcis-20342	194	2	is	be	AUX
fcis-20342	194	3	a	a	DET
fcis-20342	194	4	quadratic	quadratic	ADJ
fcis-20342	194	5	scoring	scoring	NOUN
fcis-20342	194	6	rule	rule	NOUN
fcis-20342	194	7	that	that	PRON
fcis-20342	194	8	measures	measure	VERB
fcis-20342	194	9	the	the	DET
fcis-20342	194	10	average	average	ADJ
fcis-20342	194	11	size	size	NOUN
fcis-20342	194	12	of	of	ADP
fcis-20342	194	13	the	the	DET
fcis-20342	194	14	error	error	NOUN
fcis-20342	194	15	.	.	PUNCT
fcis-20342	195	1	it	it	PRON
fcis-20342	195	2	is	be	AUX
fcis-20342	195	3	defined	define	VERB
fcis-20342	195	4	as	as	ADP
fcis-20342	195	5	the	the	DET
fcis-20342	195	6	mean	mean	NOUN
fcis-20342	195	7	of	of	ADP
fcis-20342	195	8	the	the	DET
fcis-20342	195	9	squared	square	VERB
fcis-20342	195	10	difference	difference	NOUN
fcis-20342	195	11	between	between	ADP
fcis-20342	195	12	the	the	DET
fcis-20342	195	13	prediction	prediction	NOUN
fcis-20342	195	14	and	and	CCONJ
fcis-20342	195	15	the	the	DET
fcis-20342	195	16	true	true	ADJ
fcis-20342	195	17	situation	situation	NOUN
fcis-20342	195	18	:	:	PUNCT
fcis-20342	195	19	mse	mse	NOUN
fcis-20342	195	20	∑	∑	PUNCT
fcis-20342	195	21	̂	̂	X
fcis-20342	195	22	(	(	PUNCT
fcis-20342	195	23	3	3	NUM
fcis-20342	195	24	)	)	PUNCT
fcis-20342	195	25	where	where	SCONJ
fcis-20342	195	26	m	m	NOUN
fcis-20342	195	27	is	be	AUX
fcis-20342	195	28	the	the	DET
fcis-20342	195	29	number	number	NOUN
fcis-20342	195	30	of	of	ADP
fcis-20342	195	31	test	test	NOUN
fcis-20342	195	32	samples	sample	NOUN
fcis-20342	195	33	,	,	PUNCT
fcis-20342	195	34	and	and	CCONJ
fcis-20342	195	35	̂	̂	NUM
fcis-20342	195	36	are	be	AUX
fcis-20342	195	37	the	the	DET
fcis-20342	195	38	original	original	ADJ
fcis-20342	195	39	and	and	CCONJ
fcis-20342	195	40	predicted	predict	VERB
fcis-20342	195	41	values	value	NOUN
fcis-20342	195	42	of	of	ADP
fcis-20342	195	43	the	the	DET
fcis-20342	195	44	vad	vad	ADJ
fcis-20342	195	45	sentiment	sentiment	NOUN
fcis-20342	195	46	,	,	PUNCT
fcis-20342	195	47	respectively	respectively	ADV
fcis-20342	195	48	.	.	PUNCT
fcis-20342	196	1	mse>=0	mse>=0	NOUN
fcis-20342	196	2	and	and	CCONJ
fcis-20342	196	3	smaller	small	ADJ
fcis-20342	196	4	is	be	AUX
fcis-20342	196	5	better	well	ADJ
fcis-20342	196	6	.	.	PUNCT
fcis-20342	197	1	r2	r2	PROPN
fcis-20342	197	2	,	,	PUNCT
fcis-20342	197	3	also	also	ADV
fcis-20342	197	4	known	know	VERB
fcis-20342	197	5	as	as	ADP
fcis-20342	197	6	the	the	DET
fcis-20342	197	7	coefficient	coefficient	NOUN
fcis-20342	197	8	of	of	ADP
fcis-20342	197	9	determination	determination	NOUN
fcis-20342	197	10	,	,	PUNCT
fcis-20342	197	11	shows	show	VERB
fcis-20342	197	12	how	how	SCONJ
fcis-20342	197	13	well	well	ADV
fcis-20342	197	14	the	the	DET
fcis-20342	197	15	predictions	prediction	NOUN
fcis-20342	197	16	explain	explain	VERB
fcis-20342	197	17	the	the	DET
fcis-20342	197	18	variability	variability	NOUN
fcis-20342	197	19	in	in	ADP
fcis-20342	197	20	the	the	DET
fcis-20342	197	21	underlying	underlie	VERB
fcis-20342	197	22	true	true	ADJ
fcis-20342	197	23	values	value	NOUN
fcis-20342	197	24	.	.	PUNCT
fcis-20342	198	1	it	it	PRON
fcis-20342	198	2	is	be	AUX
fcis-20342	198	3	defined	define	VERB
fcis-20342	198	4	as	as	ADP
fcis-20342	198	5	the	the	DET
fcis-20342	198	6	:	:	SYM
fcis-20342	198	7	1	1	NUM
fcis-20342	198	8	∑	∑	PUNCT
fcis-20342	198	9	̂	̂	VERB
fcis-20342	198	10	∑	∑	PART
fcis-20342	198	11	̅	̅	X
fcis-20342	198	12	(	(	PUNCT
fcis-20342	198	13	4	4	NUM
fcis-20342	198	14	)	)	PUNCT
fcis-20342	198	15	where	where	SCONJ
fcis-20342	198	16	̅	̅	NOUN
fcis-20342	198	17	∑	∑	VERB
fcis-20342	198	18	is	be	AUX
fcis-20342	198	19	the	the	DET
fcis-20342	198	20	mean	mean	NOUN
fcis-20342	198	21	of	of	ADP
fcis-20342	198	22	the	the	DET
fcis-20342	198	23	true	true	ADJ
fcis-20342	198	24	values	value	NOUN
fcis-20342	198	25	.	.	PUNCT
fcis-20342	199	1	the	the	DET
fcis-20342	199	2	numerator	numerator	NOUN
fcis-20342	199	3	is	be	AUX
fcis-20342	199	4	the	the	DET
fcis-20342	199	5	mse	mse	NOUN
fcis-20342	199	6	and	and	CCONJ
fcis-20342	199	7	the	the	DET
fcis-20342	199	8	denominator	denominator	NOUN
fcis-20342	199	9	is	be	AUX
fcis-20342	199	10	the	the	DET
fcis-20342	199	11	change	change	NOUN
fcis-20342	199	12	in	in	ADP
fcis-20342	199	13	mood	mood	NOUN
fcis-20342	199	14	.	.	PUNCT
fcis-20342	200	1	r2<=1	r2<=1	PROPN
fcis-20342	200	2	,	,	PUNCT
fcis-20342	200	3	with	with	ADP
fcis-20342	200	4	larger	large	ADJ
fcis-20342	200	5	values	value	NOUN
fcis-20342	200	6	indicating	indicate	VERB
fcis-20342	200	7	better	well	ADJ
fcis-20342	200	8	results	result	NOUN
fcis-20342	200	9	.	.	PUNCT
fcis-20342	201	1	5.4	5.4	NUM
fcis-20342	201	2	.	.	PUNCT
fcis-20342	201	3	simam	simam	NOUN
fcis-20342	201	4	module	module	NOUN
fcis-20342	201	5	different	different	ADJ
fcis-20342	201	6	positions	position	NOUN
fcis-20342	201	7	of	of	ADP
fcis-20342	201	8	the	the	DET
fcis-20342	201	9	simam	simam	NOUN
fcis-20342	201	10	module	module	NOUN
fcis-20342	201	11	were	be	AUX
fcis-20342	201	12	tested	test	VERB
fcis-20342	201	13	using	use	VERB
fcis-20342	201	14	the	the	DET
fcis-20342	201	15	iaps	iap	NOUN
fcis-20342	201	16	and	and	CCONJ
fcis-20342	201	17	naps	nap	NOUN
fcis-20342	201	18	datasets	dataset	NOUN
fcis-20342	201	19	,	,	PUNCT
fcis-20342	201	20	and	and	CCONJ
fcis-20342	201	21	the	the	DET
fcis-20342	201	22	loss	loss	NOUN
fcis-20342	201	23	function	function	NOUN
fcis-20342	201	24	used	use	VERB
fcis-20342	201	25	pdanet	pdanet	NOUN
fcis-20342	201	26	's	's	PART
fcis-20342	201	27	polarity	polarity	NOUN
fcis-20342	201	28	-	-	PUNCT
fcis-20342	201	29	consistent	consistent	ADJ
fcis-20342	201	30	loss	loss	NOUN
fcis-20342	201	31	function	function	NOUN
fcis-20342	201	32	,	,	PUNCT
fcis-20342	201	33	with	with	ADP
fcis-20342	201	34	the	the	DET
fcis-20342	201	35	following	follow	VERB
fcis-20342	201	36	results	result	NOUN
fcis-20342	201	37	,	,	PUNCT
fcis-20342	201	38	with	with	ADP
fcis-20342	201	39	bolding	bolde	VERB
fcis-20342	201	40	in	in	ADP
fcis-20342	201	41	the	the	DET
fcis-20342	201	42	table	table	NOUN
fcis-20342	201	43	being	be	AUX
fcis-20342	201	44	the	the	DET
fcis-20342	201	45	best	good	ADJ
fcis-20342	201	46	:	:	PUNCT
fcis-20342	201	47	table	table	NOUN
fcis-20342	201	48	1	1	NUM
fcis-20342	201	49	.	.	PUNCT
fcis-20342	202	1	iaps	iaps	PROPN
fcis-20342	202	2	test	test	NOUN
fcis-20342	202	3	results	result	NOUN
fcis-20342	202	4	mse	mse	PROPN
fcis-20342	202	5	(	(	PUNCT
fcis-20342	202	6	×10	×10	NOUN
fcis-20342	202	7	-	-	PUNCT
fcis-20342	202	8	2	2	NUM
fcis-20342	202	9	)	)	PUNCT
fcis-20342	202	10	module	module	NOUN
fcis-20342	202	11	v	v	NOUN
fcis-20342	202	12	a	a	DET
fcis-20342	202	13	d	d	NOUN
fcis-20342	202	14	m	m	NOUN
fcis-20342	202	15	simam	simam	NOUN
fcis-20342	202	16	5.206	5.206	NUM
fcis-20342	202	17	1.961	1.961	NUM
fcis-20342	202	18	1.892	1.892	NUM
fcis-20342	202	19	3.014	3.014	NUM
fcis-20342	202	20	simam	simam	NOUN
fcis-20342	202	21	parallel	parallel	NOUN
fcis-20342	202	22	sp+se	sp+se	ADJ
fcis-20342	202	23	3.673	3.673	NUM
fcis-20342	202	24	1.445	1.445	NUM
fcis-20342	202	25	1.571	1.571	NUM
fcis-20342	202	26	2.230	2.230	NUM
fcis-20342	202	27	simam	simam	NOUN
fcis-20342	202	28	tandem	tandem	NOUN
fcis-20342	202	29	sp+se	sp+se	NOUN
fcis-20342	202	30	3.731	3.731	NUM
fcis-20342	202	31	1.301	1.301	NUM
fcis-20342	202	32	1.417	1.417	NUM
fcis-20342	202	33	2.149	2.149	NUM
fcis-20342	202	34	table	table	NOUN
fcis-20342	202	35	2	2	NUM
fcis-20342	202	36	.	.	PUNCT
fcis-20342	203	1	iaps	iaps	PROPN
fcis-20342	203	2	test	test	NOUN
fcis-20342	203	3	results	result	NOUN
fcis-20342	203	4	r2(×10	r2(×10	NOUN
fcis-20342	203	5	-	-	SYM
fcis-20342	203	6	1	1	NUM
fcis-20342	203	7	)	)	PUNCT
fcis-20342	203	8	module	module	NOUN
fcis-20342	203	9	v	v	NOUN
fcis-20342	203	10	a	a	DET
fcis-20342	203	11	d	d	NOUN
fcis-20342	203	12	m	m	NOUN
fcis-20342	203	13	simam	simam	NOUN
fcis-20342	203	14	-0.056	-0.056	PROPN
fcis-20342	203	15	0.001	0.001	NUM
fcis-20342	203	16	-0.371	-0.371	NOUN
fcis-20342	203	17	-0.143	-0.143	PUNCT
fcis-20342	203	18	simam	simam	NOUN
fcis-20342	203	19	parallel	parallel	VERB
fcis-20342	203	20	sp+se	sp+se	VERB
fcis-20342	203	21	2.906	2.906	NUM
fcis-20342	203	22	2.629	2.629	NUM
fcis-20342	203	23	1.386	1.386	NUM
fcis-20342	203	24	2.307	2.307	NUM
fcis-20342	203	25	simam	simam	NOUN
fcis-20342	203	26	tandem	tandem	NOUN
fcis-20342	203	27	sp+se	sp+se	NOUN
fcis-20342	203	28	2.792	2.792	NUM
fcis-20342	203	29	3.367	3.367	NUM
fcis-20342	203	30	2.230	2.230	NUM
fcis-20342	203	31	2.800	2.800	NUM
fcis-20342	203	32	table	table	NOUN
fcis-20342	203	33	3	3	NUM
fcis-20342	203	34	.	.	PUNCT
fcis-20342	203	35	naps	nap	NOUN
fcis-20342	203	36	test	test	NOUN
fcis-20342	203	37	results	result	VERB
fcis-20342	203	38	mse(×10	mse(×10	NOUN
fcis-20342	203	39	-	-	SYM
fcis-20342	203	40	2	2	NUM
fcis-20342	203	41	)	)	PUNCT
fcis-20342	203	42	module	module	NOUN
fcis-20342	203	43	v	v	NOUN
fcis-20342	203	44	a	a	DET
fcis-20342	203	45	d	d	NOUN
fcis-20342	203	46	m	m	NOUN
fcis-20342	203	47	simam	simam	NOUN
fcis-20342	203	48	4.329	4.329	NUM
fcis-20342	203	49	1.772	1.772	NUM
fcis-20342	203	50	3.461	3.461	NUM
fcis-20342	203	51	3.187	3.187	NUM
fcis-20342	203	52	simam	simam	NOUN
fcis-20342	203	53	parallel	parallel	NOUN
fcis-20342	203	54	sp+se	sp+se	ADJ
fcis-20342	203	55	2.720	2.720	NUM
fcis-20342	203	56	1.430	1.430	NUM
fcis-20342	203	57	2.187	2.187	NUM
fcis-20342	203	58	2.112	2.112	NUM
fcis-20342	203	59	simam	simam	NOUN
fcis-20342	203	60	tandem	tandem	NOUN
fcis-20342	203	61	sp+se	sp+se	ADJ
fcis-20342	203	62	2.687	2.687	NUM
fcis-20342	203	63	1.100	1.100	NUM
fcis-20342	203	64	2.249	2.249	NUM
fcis-20342	203	65	2.012	2.012	NUM
fcis-20342	203	66	table	table	NOUN
fcis-20342	203	67	4	4	NUM
fcis-20342	203	68	.	.	PUNCT
fcis-20342	203	69	naps	nap	NOUN
fcis-20342	203	70	test	test	NOUN
fcis-20342	203	71	results	result	NOUN
fcis-20342	203	72	r2(×10	r2(×10	NOUN
fcis-20342	203	73	-	-	SYM
fcis-20342	203	74	1	1	NUM
fcis-20342	203	75	)	)	PUNCT
fcis-20342	203	76	module	module	NOUN
fcis-20342	203	77	v	v	NOUN
fcis-20342	203	78	a	a	DET
fcis-20342	203	79	d	d	NOUN
fcis-20342	203	80	m	m	NOUN
fcis-20342	203	81	simam	simam	ADJ
fcis-20342	203	82	-0.205	-0.205	X
fcis-20342	203	83	-0.138	-0.138	PROPN
fcis-20342	203	84	-0.163	-0.163	PROPN
fcis-20342	203	85	-0.168	-0.168	PUNCT
fcis-20342	203	86	simam	simam	NOUN
fcis-20342	203	87	parallel	parallel	NOUN
fcis-20342	203	88	sp+se	sp+se	ADJ
fcis-20342	203	89	3.588	3.588	NUM
fcis-20342	203	90	1.818	1.818	NUM
fcis-20342	203	91	3.579	3.579	NUM
fcis-20342	203	92	2.995	2.995	NUM
fcis-20342	203	93	simam	simam	NOUN
fcis-20342	203	94	tandem	tandem	NOUN
fcis-20342	203	95	sp+se	sp+se	ADJ
fcis-20342	203	96	3.665	3.665	NUM
fcis-20342	203	97	3.700	3.700	NUM
fcis-20342	203	98	3.398	3.398	NUM
fcis-20342	203	99	3.588	3.588	NUM
fcis-20342	203	100	the	the	DET
fcis-20342	203	101	sp+se	sp+se	ADJ
fcis-20342	203	102	in	in	ADP
fcis-20342	203	103	the	the	DET
fcis-20342	203	104	above	above	ADJ
fcis-20342	203	105	table	table	NOUN
fcis-20342	203	106	is	be	AUX
fcis-20342	203	107	the	the	DET
fcis-20342	203	108	structure	structure	NOUN
fcis-20342	203	109	of	of	ADP
fcis-20342	203	110	spatial	spatial	ADJ
fcis-20342	203	111	and	and	CCONJ
fcis-20342	203	112	channel	channel	VERB
fcis-20342	203	113	attention	attention	NOUN
fcis-20342	203	114	in	in	ADP
fcis-20342	203	115	parallel	parallel	NOUN
fcis-20342	203	116	.	.	PUNCT
fcis-20342	204	1	from	from	ADP
fcis-20342	204	2	the	the	DET
fcis-20342	204	3	results	result	NOUN
fcis-20342	204	4	of	of	ADP
fcis-20342	204	5	the	the	DET
fcis-20342	204	6	above	above	ADJ
fcis-20342	204	7	experiments	experiment	NOUN
fcis-20342	204	8	,	,	PUNCT
fcis-20342	204	9	the	the	DET
fcis-20342	204	10	simam	simam	NOUN
fcis-20342	204	11	module	module	NOUN
fcis-20342	204	12	works	work	VERB
fcis-20342	204	13	worst	bad	ADJ
fcis-20342	204	14	on	on	ADP
fcis-20342	204	15	its	its	PRON
fcis-20342	204	16	own	own	ADJ
fcis-20342	204	17	,	,	PUNCT
fcis-20342	204	18	30	30	NUM
fcis-20342	204	19	improves	improve	VERB
fcis-20342	204	20	when	when	SCONJ
fcis-20342	204	21	used	use	VERB
fcis-20342	204	22	as	as	ADP
fcis-20342	204	23	a	a	DET
fcis-20342	204	24	parallel	parallel	ADJ
fcis-20342	204	25	branch	branch	NOUN
fcis-20342	204	26	combining	combine	VERB
fcis-20342	204	27	the	the	DET
fcis-20342	204	28	semantic	semantic	ADJ
fcis-20342	204	29	vectors	vector	NOUN
fcis-20342	204	30	of	of	ADP
fcis-20342	204	31	the	the	DET
fcis-20342	204	32	spatial	spatial	ADJ
fcis-20342	204	33	and	and	CCONJ
fcis-20342	204	34	channel	channel	NOUN
fcis-20342	204	35	attention	attention	NOUN
fcis-20342	204	36	modules	module	NOUN
fcis-20342	204	37	,	,	PUNCT
fcis-20342	204	38	but	but	CCONJ
fcis-20342	204	39	works	work	VERB
fcis-20342	204	40	best	well	ADV
fcis-20342	204	41	when	when	SCONJ
fcis-20342	204	42	inserted	insert	VERB
fcis-20342	204	43	into	into	ADP
fcis-20342	204	44	the	the	DET
fcis-20342	204	45	resnet-101	resnet-101	NOUN
fcis-20342	204	46	backbone	backbone	NOUN
fcis-20342	204	47	model	model	NOUN
fcis-20342	204	48	and	and	CCONJ
fcis-20342	204	49	between	between	ADP
fcis-20342	204	50	the	the	DET
fcis-20342	204	51	channel	channel	NOUN
fcis-20342	204	52	and	and	CCONJ
fcis-20342	204	53	spatial	spatial	ADJ
fcis-20342	204	54	attention	attention	NOUN
fcis-20342	204	55	modules	module	NOUN
fcis-20342	204	56	and	and	CCONJ
fcis-20342	204	57	used	use	VERB
fcis-20342	204	58	in	in	ADP
fcis-20342	204	59	tandem	tandem	PROPN
fcis-20342	204	60	.	.	PUNCT
fcis-20342	205	1	in	in	ADP
fcis-20342	205	2	the	the	DET
fcis-20342	205	3	actual	actual	ADJ
fcis-20342	205	4	experiments	experiment	NOUN
fcis-20342	205	5	,	,	PUNCT
fcis-20342	205	6	the	the	DET
fcis-20342	205	7	direct	direct	ADJ
fcis-20342	205	8	use	use	NOUN
fcis-20342	205	9	of	of	ADP
fcis-20342	205	10	the	the	DET
fcis-20342	205	11	simam	simam	NOUN
fcis-20342	205	12	module	module	NOUN
fcis-20342	205	13	was	be	AUX
fcis-20342	205	14	achieved	achieve	VERB
fcis-20342	205	15	by	by	ADP
fcis-20342	205	16	pooling	pool	VERB
fcis-20342	205	17	its	its	PRON
fcis-20342	205	18	outputs	output	NOUN
fcis-20342	205	19	globally	globally	ADV
fcis-20342	205	20	on	on	ADP
fcis-20342	205	21	average	average	ADJ
fcis-20342	205	22	and	and	CCONJ
fcis-20342	205	23	subsequently	subsequently	ADV
fcis-20342	205	24	outputting	output	VERB
fcis-20342	205	25	the	the	DET
fcis-20342	205	26	regression	regression	NOUN
fcis-20342	205	27	results	result	NOUN
fcis-20342	205	28	using	use	VERB
fcis-20342	205	29	the	the	DET
fcis-20342	205	30	fully	fully	ADV
fcis-20342	205	31	connected	connect	VERB
fcis-20342	205	32	layer	layer	NOUN
fcis-20342	205	33	,	,	PUNCT
fcis-20342	205	34	but	but	CCONJ
fcis-20342	205	35	the	the	DET
fcis-20342	205	36	experiments	experiment	NOUN
fcis-20342	205	37	showed	show	VERB
fcis-20342	205	38	that	that	SCONJ
fcis-20342	205	39	the	the	DET
fcis-20342	205	40	simam	simam	NOUN
fcis-20342	205	41	module	module	NOUN
fcis-20342	205	42	alone	alone	ADV
fcis-20342	205	43	could	could	AUX
fcis-20342	205	44	not	not	PART
fcis-20342	205	45	be	be	AUX
fcis-20342	205	46	directly	directly	ADV
fcis-20342	205	47	relied	rely	VERB
fcis-20342	205	48	upon	upon	SCONJ
fcis-20342	205	49	for	for	ADP
fcis-20342	205	50	further	further	ADJ
fcis-20342	205	51	feature	feature	NOUN
fcis-20342	205	52	extraction	extraction	NOUN
fcis-20342	205	53	by	by	ADP
fcis-20342	205	54	the	the	DET
fcis-20342	205	55	pooling	pooling	NOUN
fcis-20342	205	56	operation	operation	NOUN
fcis-20342	205	57	.	.	PUNCT
fcis-20342	206	1	in	in	ADP
fcis-20342	206	2	the	the	DET
fcis-20342	206	3	parallel	parallel	ADJ
fcis-20342	206	4	experiments	experiment	NOUN
fcis-20342	206	5	,	,	PUNCT
fcis-20342	206	6	the	the	DET
fcis-20342	206	7	information	information	NOUN
fcis-20342	206	8	obtained	obtain	VERB
fcis-20342	206	9	by	by	ADP
fcis-20342	206	10	the	the	DET
fcis-20342	206	11	simam	simam	NOUN
fcis-20342	206	12	module	module	NOUN
fcis-20342	206	13	is	be	AUX
fcis-20342	206	14	pooled	pool	VERB
fcis-20342	206	15	by	by	ADP
fcis-20342	206	16	global	global	ADJ
fcis-20342	206	17	average	average	ADJ
fcis-20342	206	18	pooling	pooling	NOUN
fcis-20342	206	19	for	for	ADP
fcis-20342	206	20	subsequent	subsequent	ADJ
fcis-20342	206	21	operations	operation	NOUN
fcis-20342	206	22	,	,	PUNCT
fcis-20342	206	23	but	but	CCONJ
fcis-20342	206	24	the	the	DET
fcis-20342	206	25	results	result	NOUN
fcis-20342	206	26	of	of	ADP
fcis-20342	206	27	this	this	DET
fcis-20342	206	28	approach	approach	NOUN
fcis-20342	206	29	are	be	AUX
fcis-20342	206	30	also	also	ADV
fcis-20342	206	31	poor	poor	ADJ
fcis-20342	206	32	,	,	PUNCT
fcis-20342	206	33	and	and	CCONJ
fcis-20342	206	34	the	the	DET
fcis-20342	206	35	performance	performance	NOUN
fcis-20342	206	36	improvement	improvement	NOUN
fcis-20342	206	37	is	be	AUX
fcis-20342	206	38	likely	likely	ADJ
fcis-20342	206	39	due	due	ADJ
fcis-20342	206	40	to	to	ADP
fcis-20342	206	41	spatial	spatial	ADJ
fcis-20342	206	42	and	and	CCONJ
fcis-20342	206	43	channel	channel	VERB
fcis-20342	206	44	attention	attention	NOUN
fcis-20342	206	45	.	.	PUNCT
fcis-20342	207	1	in	in	ADP
fcis-20342	207	2	the	the	DET
fcis-20342	207	3	tandem	tandem	NOUN
fcis-20342	207	4	experiments	experiment	NOUN
fcis-20342	207	5	,	,	PUNCT
fcis-20342	207	6	the	the	DET
fcis-20342	207	7	information	information	NOUN
fcis-20342	207	8	output	output	NOUN
fcis-20342	207	9	from	from	ADP
fcis-20342	207	10	resnet101	resnet101	PROPN
fcis-20342	207	11	is	be	AUX
fcis-20342	207	12	fed	feed	VERB
fcis-20342	207	13	into	into	ADP
fcis-20342	207	14	simam	simam	NOUN
fcis-20342	207	15	for	for	ADP
fcis-20342	207	16	one	one	NUM
fcis-20342	207	17	-	-	PUNCT
fcis-20342	207	18	time	time	NOUN
fcis-20342	207	19	attention	attention	NOUN
fcis-20342	207	20	extraction	extraction	NOUN
fcis-20342	207	21	,	,	PUNCT
fcis-20342	207	22	followed	follow	VERB
fcis-20342	207	23	by	by	ADP
fcis-20342	207	24	the	the	DET
fcis-20342	207	25	spatial	spatial	ADJ
fcis-20342	207	26	attention	attention	NOUN
fcis-20342	207	27	branch	branch	NOUN
fcis-20342	207	28	and	and	CCONJ
fcis-20342	207	29	the	the	DET
fcis-20342	207	30	channel	channel	NOUN
fcis-20342	207	31	attention	attention	NOUN
fcis-20342	207	32	branch	branch	NOUN
fcis-20342	207	33	,	,	PUNCT
fcis-20342	207	34	respectively	respectively	ADV
fcis-20342	207	35	;	;	PUNCT
fcis-20342	207	36	the	the	DET
fcis-20342	207	37	essence	essence	NOUN
fcis-20342	207	38	of	of	ADP
fcis-20342	207	39	this	this	DET
fcis-20342	207	40	step	step	NOUN
fcis-20342	207	41	is	be	AUX
fcis-20342	207	42	that	that	SCONJ
fcis-20342	207	43	the	the	DET
fcis-20342	207	44	information	information	NOUN
fcis-20342	207	45	fed	feed	VERB
fcis-20342	207	46	into	into	ADP
fcis-20342	207	47	the	the	DET
fcis-20342	207	48	attention	attention	NOUN
fcis-20342	207	49	branch	branch	NOUN
fcis-20342	207	50	undergoes	undergo	VERB
fcis-20342	207	51	onetime	onetime	ADJ
fcis-20342	207	52	preprocessing	preprocessing	NOUN
fcis-20342	207	53	,	,	PUNCT
fcis-20342	207	54	and	and	CCONJ
fcis-20342	207	55	its	its	PRON
fcis-20342	207	56	information	information	NOUN
fcis-20342	207	57	is	be	AUX
fcis-20342	207	58	organized	organize	VERB
fcis-20342	207	59	and	and	CCONJ
fcis-20342	207	60	focused	focus	VERB
fcis-20342	207	61	,	,	PUNCT
fcis-20342	207	62	so	so	SCONJ
fcis-20342	207	63	that	that	SCONJ
fcis-20342	207	64	it	it	PRON
fcis-20342	207	65	can	can	AUX
fcis-20342	207	66	be	be	AUX
fcis-20342	207	67	more	more	ADV
fcis-20342	207	68	easily	easily	ADV
fcis-20342	207	69	extracted	extract	VERB
fcis-20342	207	70	from	from	ADP
fcis-20342	207	71	the	the	DET
fcis-20342	207	72	spatial	spatial	ADJ
fcis-20342	207	73	attention	attention	NOUN
fcis-20342	207	74	and	and	CCONJ
fcis-20342	207	75	the	the	DET
fcis-20342	207	76	channel	channel	NOUN
fcis-20342	207	77	attention	attention	NOUN
fcis-20342	207	78	branches	branch	NOUN
fcis-20342	207	79	to	to	PART
fcis-20342	207	80	find	find	VERB
fcis-20342	207	81	the	the	DET
fcis-20342	207	82	important	important	ADJ
fcis-20342	207	83	feature	feature	NOUN
fcis-20342	207	84	vectors	vector	NOUN
fcis-20342	207	85	in	in	ADP
fcis-20342	207	86	the	the	DET
fcis-20342	207	87	spatial	spatial	ADJ
fcis-20342	207	88	and	and	CCONJ
fcis-20342	207	89	channel	channel	NOUN
fcis-20342	207	90	attention	attention	NOUN
fcis-20342	207	91	branches	branch	NOUN
fcis-20342	207	92	.	.	PUNCT
fcis-20342	208	1	5.5	5.5	NUM
fcis-20342	208	2	.	.	PUNCT
fcis-20342	209	1	tricategorical	tricategorical	ADJ
fcis-20342	209	2	polar	polar	ADJ
fcis-20342	209	3	regression	regression	NOUN
fcis-20342	209	4	loss	loss	NOUN
fcis-20342	209	5	function	function	NOUN
fcis-20342	209	6	using	use	VERB
fcis-20342	209	7	the	the	DET
fcis-20342	209	8	network	network	NOUN
fcis-20342	209	9	of	of	ADP
fcis-20342	209	10	simam	simam	ADJ
fcis-20342	209	11	modules	module	NOUN
fcis-20342	209	12	in	in	ADP
fcis-20342	209	13	series	series	NOUN
fcis-20342	209	14	with	with	ADP
fcis-20342	209	15	the	the	DET
fcis-20342	209	16	triple	triple	ADJ
fcis-20342	209	17	categorical	categorical	ADJ
fcis-20342	209	18	polar	polar	ADJ
fcis-20342	209	19	regression	regression	NOUN
fcis-20342	209	20	loss	loss	NOUN
fcis-20342	209	21	function	function	NOUN
fcis-20342	209	22	,	,	PUNCT
fcis-20342	209	23	the	the	DET
fcis-20342	209	24	test	test	NOUN
fcis-20342	209	25	results	result	NOUN
fcis-20342	209	26	are	be	AUX
fcis-20342	209	27	shown	show	VERB
fcis-20342	209	28	in	in	ADP
fcis-20342	209	29	tables	table	NOUN
fcis-20342	209	30	5	5	NUM
fcis-20342	209	31	-	-	SYM
fcis-20342	209	32	8	8	NUM
fcis-20342	209	33	below	below	ADV
fcis-20342	209	34	,	,	PUNCT
fcis-20342	209	35	with	with	ADP
fcis-20342	209	36	the	the	DET
fcis-20342	209	37	bolded	bolde	VERB
fcis-20342	209	38	results	result	NOUN
fcis-20342	209	39	in	in	ADP
fcis-20342	209	40	the	the	DET
fcis-20342	209	41	tables	table	NOUN
fcis-20342	209	42	being	be	AUX
fcis-20342	209	43	the	the	DET
fcis-20342	209	44	best	good	ADJ
fcis-20342	209	45	,	,	PUNCT
fcis-20342	209	46	and	and	CCONJ
fcis-20342	209	47	tri	tri	NOUN
fcis-20342	209	48	is	be	AUX
fcis-20342	209	49	an	an	DET
fcis-20342	209	50	abbreviation	abbreviation	NOUN
fcis-20342	209	51	for	for	ADP
fcis-20342	209	52	triple	triple	ADJ
fcis-20342	209	53	categorical	categorical	ADJ
fcis-20342	209	54	polar	polar	ADJ
fcis-20342	209	55	regression	regression	NOUN
fcis-20342	209	56	loss	loss	NOUN
fcis-20342	209	57	function	function	NOUN
fcis-20342	209	58	:	:	PUNCT
fcis-20342	209	59	table	table	NOUN
fcis-20342	209	60	5	5	NUM
fcis-20342	209	61	.	.	PUNCT
fcis-20342	210	1	iaps	iaps	PROPN
fcis-20342	210	2	test	test	NOUN
fcis-20342	210	3	results	result	NOUN
fcis-20342	210	4	mse	mse	PROPN
fcis-20342	210	5	(	(	PUNCT
fcis-20342	210	6	×10	×10	NOUN
fcis-20342	210	7	-	-	PUNCT
fcis-20342	210	8	2	2	NUM
fcis-20342	210	9	)	)	PUNCT
fcis-20342	210	10	module	module	NOUN
fcis-20342	210	11	v	v	NOUN
fcis-20342	210	12	a	a	PRON
fcis-20342	210	13	d	d	PROPN
fcis-20342	210	14	m	m	NOUN
fcis-20342	210	15	pdanet	pdanet	NOUN
fcis-20342	210	16	3.179	3.179	NUM
fcis-20342	210	17	1.279	1.279	NUM
fcis-20342	210	18	1.221	1.221	NUM
fcis-20342	210	19	1.893	1.893	NUM
fcis-20342	210	20	pdanet	pdanet	NOUN
fcis-20342	210	21	with	with	ADP
fcis-20342	210	22	tri	tri	PROPN
fcis-20342	210	23	3.177	3.177	NUM
fcis-20342	210	24	1.253	1.253	NUM
fcis-20342	210	25	1.223	1.223	NUM
fcis-20342	210	26	1.884	1.884	NUM
fcis-20342	210	27	simam	simam	NOUN
fcis-20342	210	28	parallel	parallel	NOUN
fcis-20342	210	29	sp+se	sp+se	NOUN
fcis-20342	210	30	with	with	ADP
fcis-20342	210	31	polrity	polrity	NOUN
fcis-20342	210	32	3.731	3.731	NUM
fcis-20342	210	33	1.301	1.301	NUM
fcis-20342	210	34	1.417	1.417	NUM
fcis-20342	210	35	2.149	2.149	NUM
fcis-20342	210	36	simam	simam	NOUN
fcis-20342	210	37	tandem	tandem	NOUN
fcis-20342	210	38	sp+se	sp+se	NOUN
fcis-20342	210	39	with	with	ADP
fcis-20342	210	40	tri	tri	PROPN
fcis-20342	210	41	3.201	3.201	NUM
fcis-20342	210	42	1.234	1.234	NUM
fcis-20342	210	43	1.230	1.230	NUM
fcis-20342	210	44	1.888	1.888	NUM
fcis-20342	210	45	table	table	NOUN
fcis-20342	210	46	6	6	NUM
fcis-20342	210	47	.	.	PUNCT
fcis-20342	211	1	iaps	iaps	PROPN
fcis-20342	211	2	test	test	NOUN
fcis-20342	211	3	results	result	NOUN
fcis-20342	211	4	r2(×10	r2(×10	NOUN
fcis-20342	211	5	-	-	SYM
fcis-20342	211	6	1	1	NUM
fcis-20342	211	7	)	)	PUNCT
fcis-20342	211	8	module	module	NOUN
fcis-20342	211	9	v	v	NOUN
fcis-20342	211	10	a	a	DET
fcis-20342	211	11	d	d	PROPN
fcis-20342	211	12	m	m	NOUN
fcis-20342	211	13	pdanet	pdanet	NOUN
fcis-20342	211	14	3.859	3.859	NUM
fcis-20342	211	15	3.479	3.479	NUM
fcis-20342	211	16	3.305	3.305	NUM
fcis-20342	211	17	3.548	3.548	NUM
fcis-20342	211	18	pdanet	pdanet	NOUN
fcis-20342	211	19	with	with	ADP
fcis-20342	211	20	tri	tri	PROPN
fcis-20342	211	21	3.860	3.860	NUM
fcis-20342	211	22	3.511	3.511	NUM
fcis-20342	211	23	3.298	3.298	NUM
fcis-20342	211	24	3.556	3.556	NUM
fcis-20342	211	25	simam	simam	NOUN
fcis-20342	211	26	parallel	parallel	NOUN
fcis-20342	211	27	sp+se	sp+se	NOUN
fcis-20342	211	28	with	with	ADP
fcis-20342	211	29	polrity	polrity	NOUN
fcis-20342	211	30	2.792	2.792	NUM
fcis-20342	211	31	3.367	3.367	NUM
fcis-20342	211	32	2.230	2.230	NUM
fcis-20342	211	33	2.800	2.800	NUM
fcis-20342	211	34	simam	simam	NOUN
fcis-20342	211	35	tandem	tandem	NOUN
fcis-20342	211	36	sp+se	sp+se	NOUN
fcis-20342	211	37	with	with	ADP
fcis-20342	211	38	tri	tri	PROPN
fcis-20342	211	39	3.817	3.817	NUM
fcis-20342	211	40	3.704	3.704	NUM
fcis-20342	211	41	3.255	3.255	NUM
fcis-20342	211	42	3.592	3.592	NUM
fcis-20342	211	43	table	table	NOUN
fcis-20342	211	44	7	7	NUM
fcis-20342	211	45	.	.	PUNCT
fcis-20342	211	46	naps	nap	NOUN
fcis-20342	211	47	test	test	NOUN
fcis-20342	211	48	results	result	VERB
fcis-20342	211	49	mse(×10	mse(×10	NOUN
fcis-20342	211	50	-	-	SYM
fcis-20342	211	51	2	2	NUM
fcis-20342	211	52	)	)	PUNCT
fcis-20342	211	53	module	module	NOUN
fcis-20342	211	54	v	v	NOUN
fcis-20342	211	55	a	a	DET
fcis-20342	211	56	d	d	PROPN
fcis-20342	211	57	m	m	NOUN
fcis-20342	211	58	pdanet	pdanet	NOUN
fcis-20342	211	59	2.248	2.248	NUM
fcis-20342	211	60	0.971	0.971	NUM
fcis-20342	211	61	1.793	1.793	NUM
fcis-20342	211	62	1.671	1.671	NUM
fcis-20342	211	63	pdanet	pdanet	NOUN
fcis-20342	211	64	with	with	ADP
fcis-20342	211	65	tri	tri	PROPN
fcis-20342	211	66	2.245	2.245	NUM
fcis-20342	211	67	0.963	0.963	NUM
fcis-20342	211	68	1.766	1.766	NUM
fcis-20342	211	69	1.658	1.658	NUM
fcis-20342	211	70	simam	simam	NOUN
fcis-20342	211	71	parallel	parallel	NOUN
fcis-20342	211	72	sp+se	sp+se	NOUN
fcis-20342	211	73	with	with	ADP
fcis-20342	211	74	polrity	polrity	NOUN
fcis-20342	211	75	2.687	2.687	NUM
fcis-20342	211	76	1.100	1.100	NUM
fcis-20342	211	77	2.249	2.249	NUM
fcis-20342	211	78	2.012	2.012	NUM
fcis-20342	211	79	simam	simam	NOUN
fcis-20342	211	80	tandem	tandem	NOUN
fcis-20342	211	81	sp+se	sp+se	NOUN
fcis-20342	211	82	with	with	ADP
fcis-20342	211	83	tri	tri	PROPN
fcis-20342	211	84	2.358	2.358	NUM
fcis-20342	211	85	0.932	0.932	NUM
fcis-20342	211	86	1.800	1.800	NUM
fcis-20342	211	87	1.697	1.697	NUM
fcis-20342	211	88	table	table	NOUN
fcis-20342	211	89	8	8	NUM
fcis-20342	211	90	.	.	PUNCT
fcis-20342	212	1	naps	nap	NOUN
fcis-20342	212	2	test	test	NOUN
fcis-20342	212	3	results	result	NOUN
fcis-20342	212	4	r2(×10	r2(×10	NOUN
fcis-20342	212	5	-	-	SYM
fcis-20342	212	6	1	1	NUM
fcis-20342	212	7	)	)	PUNCT
fcis-20342	212	8	module	module	NOUN
fcis-20342	212	9	v	v	NOUN
fcis-20342	212	10	a	a	DET
fcis-20342	212	11	d	d	PROPN
fcis-20342	212	12	m	m	NOUN
fcis-20342	212	13	pdanet	pdanet	NOUN
fcis-20342	212	14	4.701	4.701	NUM
fcis-20342	212	15	4.443	4.443	NUM
fcis-20342	212	16	4.737	4.737	NUM
fcis-20342	212	17	4.627	4.627	NUM
fcis-20342	212	18	pdanet	pdanet	NOUN
fcis-20342	212	19	with	with	ADP
fcis-20342	212	20	tri	tri	PROPN
fcis-20342	212	21	4.710	4.710	NUM
fcis-20342	212	22	4.521	4.521	NUM
fcis-20342	212	23	4.830	4.830	NUM
fcis-20342	212	24	4.687	4.687	NUM
fcis-20342	212	25	simam	simam	NOUN
fcis-20342	212	26	parallel	parallel	NOUN
fcis-20342	212	27	sp+se	sp+se	NOUN
fcis-20342	212	28	with	with	ADP
fcis-20342	212	29	polrity	polrity	NOUN
fcis-20342	212	30	3.665	3.665	NUM
fcis-20342	212	31	3.700	3.700	NUM
fcis-20342	212	32	3.398	3.398	NUM
fcis-20342	212	33	3.588	3.588	NUM
fcis-20342	212	34	simam	simam	NOUN
fcis-20342	212	35	tandem	tandem	NOUN
fcis-20342	212	36	sp+se	sp+se	NOUN
fcis-20342	212	37	with	with	ADP
fcis-20342	212	38	tri	tri	PROPN
fcis-20342	212	39	4.569	4.569	NUM
fcis-20342	212	40	4.612	4.612	NUM
fcis-20342	212	41	4.703	4.703	NUM
fcis-20342	212	42	4.628	4.628	NUM
fcis-20342	212	43	the	the	DET
fcis-20342	212	44	binary	binary	ADJ
fcis-20342	212	45	loss	loss	NOUN
fcis-20342	212	46	and	and	CCONJ
fcis-20342	212	47	triclassification	triclassification	NOUN
fcis-20342	212	48	loss	loss	NOUN
fcis-20342	212	49	have	have	VERB
fcis-20342	212	50	more	more	ADV
fcis-20342	212	51	obvious	obvious	ADJ
fcis-20342	212	52	effects	effect	NOUN
fcis-20342	212	53	on	on	ADP
fcis-20342	212	54	the	the	DET
fcis-20342	212	55	network	network	NOUN
fcis-20342	212	56	,	,	PUNCT
fcis-20342	212	57	after	after	SCONJ
fcis-20342	212	58	pdanet	pdanet	NOUN
fcis-20342	212	59	switched	switch	VERB
fcis-20342	212	60	to	to	ADP
fcis-20342	212	61	triclassification	triclassification	NOUN
fcis-20342	212	62	loss	loss	NOUN
fcis-20342	212	63	,	,	PUNCT
fcis-20342	212	64	the	the	DET
fcis-20342	212	65	related	related	ADJ
fcis-20342	212	66	indexes	index	NOUN
fcis-20342	212	67	all	all	PRON
fcis-20342	212	68	have	have	VERB
fcis-20342	212	69	some	some	DET
fcis-20342	212	70	growth	growth	NOUN
fcis-20342	212	71	,	,	PUNCT
fcis-20342	212	72	but	but	CCONJ
fcis-20342	212	73	for	for	ADP
fcis-20342	212	74	example	example	NOUN
fcis-20342	212	75	,	,	PUNCT
fcis-20342	212	76	the	the	DET
fcis-20342	212	77	mse	mse	PROPN
fcis-20342	212	78	index	index	NOUN
fcis-20342	212	79	of	of	ADP
fcis-20342	212	80	dimension	dimension	NOUN
fcis-20342	212	81	d	d	PROPN
fcis-20342	212	82	in	in	ADP
fcis-20342	212	83	iaps	iaps	ADJ
fcis-20342	212	84	fluctuates	fluctuate	NOUN
fcis-20342	212	85	from	from	ADP
fcis-20342	212	86	1.221	1.221	NUM
fcis-20342	212	87	to	to	ADP
fcis-20342	212	88	1.223	1.223	NUM
fcis-20342	212	89	,	,	PUNCT
fcis-20342	212	90	which	which	PRON
fcis-20342	212	91	can	can	AUX
fcis-20342	212	92	be	be	AUX
fcis-20342	212	93	considered	consider	VERB
fcis-20342	212	94	as	as	ADP
fcis-20342	212	95	a	a	DET
fcis-20342	212	96	normal	normal	ADJ
fcis-20342	212	97	training	training	NOUN
fcis-20342	212	98	fluctuation	fluctuation	NOUN
fcis-20342	212	99	situation	situation	NOUN
fcis-20342	212	100	.	.	PUNCT
fcis-20342	213	1	after	after	SCONJ
fcis-20342	213	2	simam	simam	ADJ
fcis-20342	213	3	tandem	tandem	PROPN
fcis-20342	213	4	network	network	NOUN
fcis-20342	213	5	uses	use	VERB
fcis-20342	213	6	triclassification	triclassification	NOUN
fcis-20342	213	7	loss	loss	NOUN
fcis-20342	213	8	,	,	PUNCT
fcis-20342	213	9	its	its	PRON
fcis-20342	213	10	performance	performance	NOUN
fcis-20342	213	11	compared	compare	VERB
fcis-20342	213	12	to	to	ADP
fcis-20342	213	13	the	the	DET
fcis-20342	213	14	original	original	ADJ
fcis-20342	213	15	binary	binary	ADJ
fcis-20342	213	16	loss	loss	NOUN
fcis-20342	213	17	has	have	AUX
fcis-20342	213	18	a	a	DET
fcis-20342	213	19	significantly	significantly	ADV
fcis-20342	213	20	improved	improve	VERB
fcis-20342	213	21	,	,	PUNCT
fcis-20342	213	22	the	the	DET
fcis-20342	213	23	triple	triple	ADJ
fcis-20342	213	24	classification	classification	NOUN
fcis-20342	213	25	loss	loss	NOUN
fcis-20342	213	26	allows	allow	VERB
fcis-20342	213	27	the	the	DET
fcis-20342	213	28	model	model	NOUN
fcis-20342	213	29	to	to	PART
fcis-20342	213	30	adjust	adjust	VERB
fcis-20342	213	31	the	the	DET
fcis-20342	213	32	network	network	NOUN
fcis-20342	213	33	parameters	parameter	NOUN
fcis-20342	213	34	more	more	ADV
fcis-20342	213	35	accurately	accurately	ADV
fcis-20342	213	36	during	during	ADP
fcis-20342	213	37	training	training	NOUN
fcis-20342	213	38	and	and	CCONJ
fcis-20342	213	39	improves	improve	VERB
fcis-20342	213	40	the	the	DET
fcis-20342	213	41	network	network	NOUN
fcis-20342	213	42	's	's	PART
fcis-20342	213	43	ability	ability	NOUN
fcis-20342	213	44	to	to	PART
fcis-20342	213	45	extract	extract	VERB
fcis-20342	213	46	judgments	judgment	NOUN
fcis-20342	213	47	for	for	ADP
fcis-20342	213	48	each	each	DET
fcis-20342	213	49	dimension	dimension	NOUN
fcis-20342	213	50	.	.	PUNCT
fcis-20342	214	1	5.6	5.6	NUM
fcis-20342	214	2	.	.	PUNCT
fcis-20342	214	3	revision	revision	NOUN
fcis-20342	214	4	of	of	ADP
fcis-20342	214	5	caps	cap	NOUN
fcis-20342	214	6	the	the	DET
fcis-20342	214	7	problems	problem	NOUN
fcis-20342	214	8	found	find	VERB
fcis-20342	214	9	after	after	ADP
fcis-20342	214	10	counting	count	VERB
fcis-20342	214	11	are	be	AUX
fcis-20342	214	12	:	:	PUNCT
fcis-20342	214	13	(	(	PUNCT
fcis-20342	214	14	1	1	X
fcis-20342	214	15	)	)	PUNCT
fcis-20342	214	16	the	the	DET
fcis-20342	214	17	same	same	ADJ
fcis-20342	214	18	picture	picture	NOUN
fcis-20342	214	19	with	with	ADP
fcis-20342	214	20	different	different	ADJ
fcis-20342	214	21	gallery	gallery	NOUN
fcis-20342	214	22	name	name	NOUN
fcis-20342	214	23	is	be	AUX
fcis-20342	214	24	different	different	ADJ
fcis-20342	214	25	(	(	PUNCT
fcis-20342	214	26	2	2	NUM
fcis-20342	214	27	)	)	PUNCT
fcis-20342	214	28	the	the	DET
fcis-20342	214	29	same	same	ADJ
fcis-20342	214	30	picture	picture	NOUN
fcis-20342	214	31	of	of	ADP
fcis-20342	214	32	different	different	ADJ
fcis-20342	214	33	gallery	gallery	NOUN
fcis-20342	214	34	size	size	NOUN
fcis-20342	214	35	differences	difference	NOUN
fcis-20342	214	36	(	(	PUNCT
fcis-20342	214	37	3	3	X
fcis-20342	214	38	)	)	PUNCT
fcis-20342	214	39	the	the	DET
fcis-20342	214	40	database	database	NOUN
fcis-20342	214	41	image	image	NOUN
fcis-20342	214	42	format	format	NOUN
fcis-20342	214	43	is	be	AUX
fcis-20342	214	44	not	not	PART
fcis-20342	214	45	unified	unified	ADJ
fcis-20342	214	46	(	(	PUNCT
fcis-20342	214	47	4	4	NUM
fcis-20342	214	48	)	)	PUNCT
fcis-20342	214	49	there	there	PRON
fcis-20342	214	50	are	be	VERB
fcis-20342	214	51	pictures	picture	NOUN
fcis-20342	214	52	repeated	repeat	VERB
fcis-20342	214	53	in	in	ADP
fcis-20342	214	54	different	different	ADJ
fcis-20342	214	55	categories	category	NOUN
fcis-20342	214	56	of	of	ADP
fcis-20342	214	57	galleries	gallery	NOUN
fcis-20342	214	58	based	base	VERB
fcis-20342	214	59	on	on	ADP
fcis-20342	214	60	the	the	DET
fcis-20342	214	61	above	above	ADJ
fcis-20342	214	62	problems	problem	NOUN
fcis-20342	214	63	,	,	PUNCT
fcis-20342	214	64	pixel	pixel	PROPN
fcis-20342	214	65	-	-	PUNCT
fcis-20342	214	66	by	by	ADP
fcis-20342	214	67	-	-	PUNCT
fcis-20342	214	68	pixel	pixel	NOUN
fcis-20342	214	69	comparison	comparison	NOUN
fcis-20342	214	70	is	be	AUX
fcis-20342	214	71	carried	carry	VERB
fcis-20342	214	72	out	out	ADP
fcis-20342	214	73	against	against	ADP
fcis-20342	214	74	the	the	DET
fcis-20342	214	75	categorized	categorize	VERB
fcis-20342	214	76	gallery	gallery	NOUN
fcis-20342	214	77	using	use	VERB
fcis-20342	214	78	the	the	DET
fcis-20342	214	79	whole	whole	ADJ
fcis-20342	214	80	gallery	gallery	NOUN
fcis-20342	214	81	as	as	ADP
fcis-20342	214	82	the	the	DET
fcis-20342	214	83	standard	standard	NOUN
fcis-20342	214	84	,	,	PUNCT
fcis-20342	214	85	combined	combine	VERB
fcis-20342	214	86	with	with	ADP
fcis-20342	214	87	the	the	DET
fcis-20342	214	88	instructions	instruction	NOUN
fcis-20342	214	89	for	for	ADP
fcis-20342	214	90	using	use	VERB
fcis-20342	214	91	the	the	DET
fcis-20342	214	92	dataset	dataset	NOUN
fcis-20342	214	93	and	and	CCONJ
fcis-20342	214	94	the	the	DET
fcis-20342	214	95	annotation	annotation	NOUN
fcis-20342	214	96	file	file	NOUN
fcis-20342	214	97	.	.	PUNCT
fcis-20342	215	1	the	the	DET
fcis-20342	215	2	comparison	comparison	NOUN
fcis-20342	215	3	results	result	NOUN
fcis-20342	215	4	are	be	AUX
fcis-20342	215	5	shown	show	VERB
fcis-20342	215	6	in	in	ADP
fcis-20342	215	7	table	table	NOUN
fcis-20342	215	8	9	9	NUM
fcis-20342	215	9	.	.	PUNCT
fcis-20342	216	1	below	below	ADV
fcis-20342	216	2	:	:	PUNCT
fcis-20342	216	3	table	table	NOUN
fcis-20342	216	4	9	9	NUM
fcis-20342	216	5	.	.	PUNCT
fcis-20342	216	6	results	result	NOUN
fcis-20342	216	7	of	of	ADP
fcis-20342	216	8	the	the	DET
fcis-20342	216	9	revision	revision	NOUN
fcis-20342	216	10	of	of	ADP
fcis-20342	216	11	the	the	DET
fcis-20342	216	12	caps	cap	NOUN
fcis-20342	216	13	dataset	dataset	VERB
fcis-20342	216	14	number	number	NOUN
fcis-20342	216	15	categorie	categorie	ADJ
fcis-20342	216	16	matche	matche	PROPN
fcis-20342	216	17	repetition	repetition	NOUN
fcis-20342	216	18	unmatched	unmatched	ADJ
fcis-20342	216	19	positive	positive	ADJ
fcis-20342	216	20	pictures	picture	NOUN
fcis-20342	216	21	286	286	NUM
fcis-20342	216	22	283	283	NUM
fcis-20342	216	23	0	0	NUM
fcis-20342	216	24	3	3	NUM
fcis-20342	216	25	neutral	neutral	ADJ
fcis-20342	216	26	pictures	picture	NOUN
fcis-20342	216	27	283	283	NUM
fcis-20342	216	28	283	283	NUM
fcis-20342	216	29	2	2	NUM
fcis-20342	216	30	0	0	NUM
fcis-20342	216	31	negative	negative	ADJ
fcis-20342	216	32	pictures	picture	NOUN
fcis-20342	216	33	288	288	NUM
fcis-20342	216	34	288	288	NUM
fcis-20342	216	35	2	2	NUM
fcis-20342	216	36	0	0	NUM
fcis-20342	216	37	total	total	NOUN
fcis-20342	216	38	857	857	NUM
fcis-20342	216	39	854	854	NUM
fcis-20342	216	40	2	2	NUM
fcis-20342	216	41	0	0	NUM
fcis-20342	216	42	after	after	ADP
fcis-20342	216	43	sorting	sort	VERB
fcis-20342	216	44	,	,	PUNCT
fcis-20342	216	45	it	it	PRON
fcis-20342	216	46	was	be	AUX
fcis-20342	216	47	found	find	VERB
fcis-20342	216	48	that	that	SCONJ
fcis-20342	216	49	there	there	PRON
fcis-20342	216	50	were	be	VERB
fcis-20342	216	51	three	three	NUM
fcis-20342	216	52	pictures	picture	NOUN
fcis-20342	216	53	in	in	ADP
fcis-20342	216	54	the	the	DET
fcis-20342	216	55	image	image	NOUN
fcis-20342	216	56	library	library	NOUN
fcis-20342	216	57	classified	classify	VERB
fcis-20342	216	58	as	as	ADP
fcis-20342	216	59	positive	positive	ADJ
fcis-20342	216	60	that	that	PRON
fcis-20342	216	61	had	have	VERB
fcis-20342	216	62	no	no	DET
fcis-20342	216	63	counterparts	counterpart	NOUN
fcis-20342	216	64	in	in	ADP
fcis-20342	216	65	the	the	DET
fcis-20342	216	66	full	full	ADJ
fcis-20342	216	67	image	image	NOUN
fcis-20342	216	68	library	library	NOUN
fcis-20342	216	69	and	and	CCONJ
fcis-20342	216	70	no	no	DET
fcis-20342	216	71	related	related	ADJ
fcis-20342	216	72	annotation	annotation	NOUN
fcis-20342	216	73	data	datum	NOUN
fcis-20342	216	74	,	,	PUNCT
fcis-20342	216	75	so	so	SCONJ
fcis-20342	216	76	they	they	PRON
fcis-20342	216	77	were	be	AUX
fcis-20342	216	78	deleted	delete	VERB
fcis-20342	216	79	;	;	PUNCT
fcis-20342	216	80	two	two	NUM
fcis-20342	216	81	pictures	picture	NOUN
fcis-20342	216	82	in	in	ADP
fcis-20342	216	83	the	the	DET
fcis-20342	216	84	image	image	NOUN
fcis-20342	216	85	library	library	NOUN
fcis-20342	216	86	classified	classify	VERB
fcis-20342	216	87	as	as	ADP
fcis-20342	216	88	neutral	neutral	ADJ
fcis-20342	216	89	and	and	CCONJ
fcis-20342	216	90	negative	negative	ADJ
fcis-20342	216	91	were	be	AUX
fcis-20342	216	92	duplicated	duplicate	VERB
fcis-20342	216	93	,	,	PUNCT
fcis-20342	216	94	but	but	CCONJ
fcis-20342	216	95	they	they	PRON
fcis-20342	216	96	were	be	AUX
fcis-20342	216	97	retained	retain	VERB
fcis-20342	216	98	in	in	ADP
fcis-20342	216	99	consideration	consideration	NOUN
fcis-20342	216	100	of	of	ADP
fcis-20342	216	101	the	the	DET
fcis-20342	216	102	uniqueness	uniqueness	NOUN
fcis-20342	216	103	of	of	ADP
fcis-20342	216	104	the	the	DET
fcis-20342	216	105	annotation	annotation	NOUN
fcis-20342	216	106	data	datum	NOUN
fcis-20342	216	107	.	.	PUNCT
fcis-20342	217	1	for	for	ADP
fcis-20342	217	2	all	all	DET
fcis-20342	217	3	the	the	DET
fcis-20342	217	4	retained	retain	VERB
fcis-20342	217	5	images	image	NOUN
fcis-20342	217	6	,	,	PUNCT
fcis-20342	217	7	higher	high	ADJ
fcis-20342	217	8	pixel	pixel	NOUN
fcis-20342	217	9	versions	version	NOUN
fcis-20342	217	10	were	be	AUX
fcis-20342	217	11	selected	select	VERB
fcis-20342	217	12	,	,	PUNCT
fcis-20342	217	13	and	and	CCONJ
fcis-20342	217	14	the	the	DET
fcis-20342	217	15	naming	naming	NOUN
fcis-20342	217	16	standard	standard	NOUN
fcis-20342	217	17	was	be	AUX
fcis-20342	217	18	unified	unify	VERB
fcis-20342	217	19	in	in	ADP
fcis-20342	217	20	jpg	jpg	NOUN
fcis-20342	217	21	format	format	NOUN
fcis-20342	217	22	.	.	PUNCT
fcis-20342	218	1	the	the	DET
fcis-20342	218	2	final	final	ADJ
fcis-20342	218	3	revised	revise	VERB
fcis-20342	218	4	caps	cap	NOUN
fcis-20342	218	5	dataset	dataset	VERB
fcis-20342	218	6	consisted	consist	VERB
fcis-20342	218	7	of	of	ADP
fcis-20342	218	8	a	a	DET
fcis-20342	218	9	total	total	NOUN
fcis-20342	218	10	of	of	ADP
fcis-20342	218	11	852	852	NUM
fcis-20342	218	12	images	image	NOUN
fcis-20342	218	13	,	,	PUNCT
fcis-20342	218	14	with	with	ADP
fcis-20342	218	15	labeled	label	VERB
fcis-20342	218	16	data	datum	NOUN
fcis-20342	218	17	for	for	ADP
fcis-20342	218	18	the	the	DET
fcis-20342	218	19	three	three	NUM
fcis-20342	218	20	dimensions	dimension	NOUN
fcis-20342	218	21	of	of	ADP
fcis-20342	218	22	the	the	DET
fcis-20342	218	23	vad	vad	PROPN
fcis-20342	218	24	,	,	PUNCT
fcis-20342	218	25	with	with	ADP
fcis-20342	218	26	an	an	DET
fcis-20342	218	27	accuracy	accuracy	NOUN
fcis-20342	218	28	of	of	ADP
fcis-20342	218	29	2	2	NUM
fcis-20342	218	30	decimal	decimal	ADJ
fcis-20342	218	31	places	place	NOUN
fcis-20342	218	32	.	.	PUNCT
fcis-20342	219	1	5.7	5.7	NUM
fcis-20342	219	2	.	.	PUNCT
fcis-20342	219	3	practical	practical	ADJ
fcis-20342	219	4	tests	test	NOUN
fcis-20342	219	5	for	for	ADP
fcis-20342	219	6	caps	cap	NOUN
fcis-20342	219	7	the	the	DET
fcis-20342	219	8	caps	cap	NOUN
fcis-20342	219	9	dataset	dataset	VERB
fcis-20342	219	10	is	be	AUX
fcis-20342	219	11	tested	test	VERB
fcis-20342	219	12	and	and	CCONJ
fcis-20342	219	13	analyzed	analyze	VERB
fcis-20342	219	14	after	after	ADP
fcis-20342	219	15	completing	complete	VERB
fcis-20342	219	16	the	the	DET
fcis-20342	219	17	aforementioned	aforementioned	ADJ
fcis-20342	219	18	revised	revise	VERB
fcis-20342	219	19	caps	cap	NOUN
fcis-20342	219	20	task	task	NOUN
fcis-20342	219	21	and	and	CCONJ
fcis-20342	219	22	model	model	NOUN
fcis-20342	219	23	improvement	improvement	NOUN
fcis-20342	219	24	task	task	NOUN
fcis-20342	219	25	.	.	PUNCT
fcis-20342	220	1	several	several	ADJ
fcis-20342	220	2	classical	classical	ADJ
fcis-20342	220	3	models	model	NOUN
fcis-20342	220	4	such	such	ADJ
fcis-20342	220	5	as	as	ADP
fcis-20342	220	6	resnet101	resnet101	PROPN
fcis-20342	220	7	,	,	PUNCT
fcis-20342	220	8	vgg-16	vgg-16	NOUN
fcis-20342	220	9	,	,	PUNCT
fcis-20342	220	10	alexnet	alexnet	NOUN
fcis-20342	220	11	and	and	CCONJ
fcis-20342	220	12	pdanet	pdanet	NOUN
fcis-20342	220	13	models	model	NOUN
fcis-20342	220	14	are	be	AUX
fcis-20342	220	15	used	use	VERB
fcis-20342	220	16	for	for	ADP
fcis-20342	220	17	31	31	NUM
fcis-20342	220	18	training	training	NOUN
fcis-20342	220	19	and	and	CCONJ
fcis-20342	220	20	the	the	DET
fcis-20342	220	21	improved	improved	ADJ
fcis-20342	220	22	multi	multi	ADJ
fcis-20342	220	23	-	-	ADJ
fcis-20342	220	24	attention	attention	ADJ
fcis-20342	220	25	image	image	NOUN
fcis-20342	220	26	sentiment	sentiment	NOUN
fcis-20342	220	27	regression	regression	NOUN
fcis-20342	220	28	model	model	NOUN
fcis-20342	220	29	in	in	ADP
fcis-20342	220	30	this	this	DET
fcis-20342	220	31	paper	paper	NOUN
fcis-20342	220	32	is	be	AUX
fcis-20342	220	33	used	use	VERB
fcis-20342	220	34	for	for	ADP
fcis-20342	220	35	training	train	VERB
fcis-20342	220	36	comparison	comparison	NOUN
fcis-20342	220	37	.	.	PUNCT
fcis-20342	221	1	during	during	ADP
fcis-20342	221	2	the	the	DET
fcis-20342	221	3	training	training	NOUN
fcis-20342	221	4	process	process	NOUN
fcis-20342	221	5	,	,	PUNCT
fcis-20342	221	6	the	the	DET
fcis-20342	221	7	dataset	dataset	NOUN
fcis-20342	221	8	division	division	NOUN
fcis-20342	221	9	ratio	ratio	NOUN
fcis-20342	221	10	is	be	AUX
fcis-20342	221	11	training	train	VERB
fcis-20342	221	12	set	set	NOUN
fcis-20342	221	13	:	:	PUNCT
fcis-20342	221	14	test	test	NOUN
fcis-20342	221	15	set	set	NOUN
fcis-20342	221	16	:	:	PUNCT
fcis-20342	221	17	validation	validation	NOUN
fcis-20342	221	18	set	set	NOUN
fcis-20342	221	19	=	=	SYM
fcis-20342	221	20	0.7:0.1:0.2	0.7:0.1:0.2	NUM
fcis-20342	221	21	,	,	PUNCT
fcis-20342	221	22	and	and	CCONJ
fcis-20342	221	23	other	other	ADJ
fcis-20342	221	24	hyper	hyper	ADJ
fcis-20342	221	25	-	-	ADJ
fcis-20342	221	26	parameter	parameter	ADJ
fcis-20342	221	27	settings	setting	NOUN
fcis-20342	221	28	are	be	AUX
fcis-20342	221	29	the	the	DET
fcis-20342	221	30	same	same	ADJ
fcis-20342	221	31	as	as	ADP
fcis-20342	221	32	in	in	ADP
fcis-20342	221	33	section	section	NOUN
fcis-20342	221	34	3.5.2	3.5.2	NUM
fcis-20342	221	35	.	.	PUNCT
fcis-20342	222	1	the	the	DET
fcis-20342	222	2	training	training	NOUN
fcis-20342	222	3	results	result	NOUN
fcis-20342	222	4	are	be	AUX
fcis-20342	222	5	shown	show	VERB
fcis-20342	222	6	in	in	ADP
fcis-20342	222	7	tables	table	NOUN
fcis-20342	222	8	10	10	NUM
fcis-20342	222	9	-	-	SYM
fcis-20342	222	10	11	11	NUM
fcis-20342	222	11	below	below	ADV
fcis-20342	222	12	,	,	PUNCT
fcis-20342	222	13	and	and	CCONJ
fcis-20342	222	14	the	the	DET
fcis-20342	222	15	bolded	bolde	VERB
fcis-20342	222	16	results	result	NOUN
fcis-20342	222	17	in	in	ADP
fcis-20342	222	18	the	the	DET
fcis-20342	222	19	tables	table	NOUN
fcis-20342	222	20	are	be	AUX
fcis-20342	222	21	the	the	DET
fcis-20342	222	22	best	good	ADJ
fcis-20342	222	23	:	:	PUNCT
fcis-20342	222	24	table	table	NOUN
fcis-20342	222	25	10	10	NUM
fcis-20342	222	26	.	.	PUNCT
fcis-20342	223	1	caps	cap	NOUN
fcis-20342	223	2	training	train	VERB
fcis-20342	223	3	test	test	NOUN
fcis-20342	223	4	mse	mse	NOUN
fcis-20342	223	5	(	(	PUNCT
fcis-20342	223	6	×10	×10	NOUN
fcis-20342	223	7	-	-	PUNCT
fcis-20342	223	8	2	2	NUM
fcis-20342	223	9	)	)	PUNCT
fcis-20342	223	10	module	module	NOUN
fcis-20342	223	11	v	v	NOUN
fcis-20342	223	12	a	a	PRON
fcis-20342	223	13	d	d	PROPN
fcis-20342	223	14	m	m	NOUN
fcis-20342	223	15	alexnet	alexnet	NOUN
fcis-20342	223	16	3.231	3.231	NUM
fcis-20342	223	17	1.259	1.259	NUM
fcis-20342	223	18	2.012	2.012	NUM
fcis-20342	223	19	2.160	2.160	NUM
fcis-20342	223	20	vgg-16	vgg-16	NOUN
fcis-20342	223	21	3.150	3.150	NUM
fcis-20342	223	22	1.118	1.118	NUM
fcis-20342	223	23	2.271	2.271	NUM
fcis-20342	223	24	2.180	2.180	NUM
fcis-20342	223	25	resnet-101	resnet-101	VERB
fcis-20342	223	26	1.873	1.873	NUM
fcis-20342	223	27	0.836	0.836	NUM
fcis-20342	223	28	1.142	1.142	NUM
fcis-20342	223	29	1.280	1.280	NUM
fcis-20342	223	30	pdanet	pdanet	NOUN
fcis-20342	223	31	1.552	1.552	NUM
fcis-20342	223	32	0.537	0.537	NUM
fcis-20342	223	33	1.180	1.180	NUM
fcis-20342	223	34	1.090	1.090	NUM
fcis-20342	223	35	our	our	PRON
fcis-20342	223	36	module	module	NOUN
fcis-20342	223	37	1.524	1.524	NUM
fcis-20342	223	38	0.533	0.533	NUM
fcis-20342	223	39	1.024	1.024	NUM
fcis-20342	223	40	1.027	1.027	NUM
fcis-20342	223	41	analyzing	analyze	VERB
fcis-20342	223	42	the	the	DET
fcis-20342	223	43	above	above	ADJ
fcis-20342	223	44	table	table	NOUN
fcis-20342	223	45	,	,	PUNCT
fcis-20342	223	46	it	it	PRON
fcis-20342	223	47	can	can	AUX
fcis-20342	223	48	be	be	AUX
fcis-20342	223	49	seen	see	VERB
fcis-20342	223	50	that	that	SCONJ
fcis-20342	223	51	the	the	DET
fcis-20342	223	52	model	model	NOUN
fcis-20342	223	53	in	in	ADP
fcis-20342	223	54	this	this	DET
fcis-20342	223	55	paper	paper	NOUN
fcis-20342	223	56	achieves	achieve	VERB
fcis-20342	223	57	optimal	optimal	ADJ
fcis-20342	223	58	results	result	NOUN
fcis-20342	223	59	in	in	ADP
fcis-20342	223	60	the	the	DET
fcis-20342	223	61	training	training	NOUN
fcis-20342	223	62	of	of	ADP
fcis-20342	223	63	the	the	DET
fcis-20342	223	64	caps	cap	NOUN
fcis-20342	223	65	dataset	dataset	VERB
fcis-20342	223	66	.	.	PUNCT
fcis-20342	224	1	table	table	NOUN
fcis-20342	224	2	11	11	NUM
fcis-20342	224	3	.	.	PUNCT
fcis-20342	225	1	caps	cap	NOUN
fcis-20342	225	2	training	train	VERB
fcis-20342	225	3	test	test	NOUN
fcis-20342	225	4	r2(×10	r2(×10	NOUN
fcis-20342	225	5	-	-	PUNCT
fcis-20342	225	6	1	1	NUM
fcis-20342	225	7	)	)	PUNCT
fcis-20342	225	8	module	module	NOUN
fcis-20342	225	9	v	v	NOUN
fcis-20342	225	10	a	a	DET
fcis-20342	225	11	d	d	X
fcis-20342	225	12	m	m	NOUN
fcis-20342	225	13	alexnet	alexnet	NOUN
fcis-20342	225	14	0.265	0.265	NUM
fcis-20342	225	15	-0.451	-0.451	PUNCT
fcis-20342	225	16	-0.633	-0.633	PUNCT
fcis-20342	225	17	-0.273	-0.273	X
fcis-20342	225	18	vgg-16	vgg-16	NOUN
fcis-20342	225	19	0.997	0.997	NUM
fcis-20342	225	20	-0.812	-0.812	NOUN
fcis-20342	225	21	-0.402	-0.402	PUNCT
fcis-20342	225	22	-0.072	-0.072	NOUN
fcis-20342	225	23	resnet-101	resnet-101	VERB
fcis-20342	225	24	5.817	5.817	NUM
fcis-20342	225	25	4.196	4.196	NUM
fcis-20342	225	26	6.001	6.001	NUM
fcis-20342	225	27	5.338	5.338	NUM
fcis-20342	225	28	pdanet	pdanet	NOUN
fcis-20342	225	29	5.801	5.801	NUM
fcis-20342	225	30	4.144	4.144	NUM
fcis-20342	225	31	5.756	5.756	NUM
fcis-20342	225	32	5.234	5.234	NUM
fcis-20342	225	33	our	our	PRON
fcis-20342	225	34	module	module	NOUN
fcis-20342	225	35	5.877	5.877	NUM
fcis-20342	225	36	4.184	4.184	NUM
fcis-20342	225	37	6.317	6.317	NUM
fcis-20342	225	38	5.459	5.459	NUM
fcis-20342	225	39	combined	combine	VERB
fcis-20342	225	40	with	with	ADP
fcis-20342	225	41	the	the	DET
fcis-20342	225	42	experimental	experimental	ADJ
fcis-20342	225	43	results	result	NOUN
fcis-20342	225	44	in	in	ADP
fcis-20342	225	45	part	part	NOUN
fcis-20342	225	46	5.5	5.5	NUM
fcis-20342	225	47	,	,	PUNCT
fcis-20342	225	48	it	it	PRON
fcis-20342	225	49	is	be	AUX
fcis-20342	225	50	found	find	VERB
fcis-20342	225	51	that	that	SCONJ
fcis-20342	225	52	the	the	DET
fcis-20342	225	53	caps	cap	NOUN
fcis-20342	225	54	dataset	dataset	VERB
fcis-20342	225	55	has	have	VERB
fcis-20342	225	56	the	the	DET
fcis-20342	225	57	best	good	ADJ
fcis-20342	225	58	results	result	NOUN
fcis-20342	225	59	in	in	ADP
fcis-20342	225	60	the	the	DET
fcis-20342	225	61	comparison	comparison	NOUN
fcis-20342	225	62	with	with	ADP
fcis-20342	225	63	a	a	DET
fcis-20342	225	64	small	small	ADJ
fcis-20342	225	65	amount	amount	NOUN
fcis-20342	225	66	of	of	ADP
fcis-20342	225	67	data	datum	NOUN
fcis-20342	225	68	,	,	PUNCT
fcis-20342	225	69	on	on	ADP
fcis-20342	225	70	the	the	DET
fcis-20342	225	71	one	one	NUM
fcis-20342	225	72	hand	hand	NOUN
fcis-20342	225	73	,	,	PUNCT
fcis-20342	225	74	it	it	PRON
fcis-20342	225	75	shows	show	VERB
fcis-20342	225	76	that	that	SCONJ
fcis-20342	225	77	the	the	DET
fcis-20342	225	78	data	datum	NOUN
fcis-20342	225	79	in	in	ADP
fcis-20342	225	80	this	this	DET
fcis-20342	225	81	dataset	dataset	NOUN
fcis-20342	225	82	is	be	AUX
fcis-20342	225	83	regular	regular	ADJ
fcis-20342	225	84	and	and	CCONJ
fcis-20342	225	85	has	have	VERB
fcis-20342	225	86	good	good	ADJ
fcis-20342	225	87	internal	internal	ADJ
fcis-20342	225	88	consistency	consistency	NOUN
fcis-20342	225	89	,	,	PUNCT
fcis-20342	225	90	and	and	CCONJ
fcis-20342	225	91	it	it	PRON
fcis-20342	225	92	is	be	AUX
fcis-20342	225	93	more	more	ADV
fcis-20342	225	94	obvious	obvious	ADJ
fcis-20342	225	95	from	from	ADP
fcis-20342	225	96	the	the	DET
fcis-20342	225	97	excellent	excellent	ADJ
fcis-20342	225	98	r2	r2	NOUN
fcis-20342	225	99	results	result	NOUN
fcis-20342	225	100	that	that	SCONJ
fcis-20342	225	101	the	the	DET
fcis-20342	225	102	model	model	NOUN
fcis-20342	225	103	can	can	AUX
fcis-20342	225	104	find	find	VERB
fcis-20342	225	105	the	the	DET
fcis-20342	225	106	emotional	emotional	ADJ
fcis-20342	225	107	stimulus	stimulus	NOUN
fcis-20342	225	108	points	point	VERB
fcis-20342	225	109	common	common	ADJ
fcis-20342	225	110	to	to	ADP
fcis-20342	225	111	the	the	DET
fcis-20342	225	112	whole	whole	ADJ
fcis-20342	225	113	dataset	dataset	NOUN
fcis-20342	225	114	in	in	ADP
fcis-20342	225	115	the	the	DET
fcis-20342	225	116	limited	limited	ADJ
fcis-20342	225	117	training	training	NOUN
fcis-20342	225	118	set	set	NOUN
fcis-20342	225	119	,	,	PUNCT
fcis-20342	225	120	and	and	CCONJ
fcis-20342	225	121	the	the	DET
fcis-20342	225	122	excellent	excellent	ADJ
fcis-20342	225	123	attentional	attentional	ADJ
fcis-20342	225	124	mechanism	mechanism	NOUN
fcis-20342	225	125	plays	play	VERB
fcis-20342	225	126	an	an	DET
fcis-20342	225	127	important	important	ADJ
fcis-20342	225	128	role	role	NOUN
fcis-20342	225	129	;	;	PUNCT
fcis-20342	225	130	on	on	ADP
fcis-20342	225	131	the	the	DET
fcis-20342	225	132	other	other	ADJ
fcis-20342	225	133	hand	hand	NOUN
fcis-20342	225	134	,	,	PUNCT
fcis-20342	225	135	when	when	SCONJ
fcis-20342	225	136	checking	check	VERB
fcis-20342	225	137	the	the	DET
fcis-20342	225	138	loss	loss	NOUN
fcis-20342	225	139	curve	curve	NOUN
fcis-20342	225	140	of	of	ADP
fcis-20342	225	141	caps	cap	NOUN
fcis-20342	225	142	model	model	NOUN
fcis-20342	225	143	training	training	NOUN
fcis-20342	225	144	,	,	PUNCT
fcis-20342	225	145	it	it	PRON
fcis-20342	225	146	is	be	AUX
fcis-20342	225	147	found	find	VERB
fcis-20342	225	148	that	that	SCONJ
fcis-20342	225	149	the	the	DET
fcis-20342	225	150	actual	actual	ADJ
fcis-20342	225	151	training	training	NOUN
fcis-20342	225	152	stops	stop	VERB
fcis-20342	225	153	early	early	ADV
fcis-20342	225	154	near	near	ADP
fcis-20342	225	155	the	the	DET
fcis-20342	225	156	50th	50th	ADJ
fcis-20342	225	157	epoch	epoch	NOUN
fcis-20342	225	158	,	,	PUNCT
fcis-20342	225	159	and	and	CCONJ
fcis-20342	225	160	the	the	DET
fcis-20342	225	161	subsequent	subsequent	ADJ
fcis-20342	225	162	epochs	epoch	NOUN
fcis-20342	225	163	appear	appear	VERB
fcis-20342	225	164	to	to	PART
fcis-20342	225	165	be	be	AUX
fcis-20342	225	166	overfitting	overfitte	VERB
fcis-20342	225	167	on	on	ADP
fcis-20342	225	168	the	the	DET
fcis-20342	225	169	loss	loss	NOUN
fcis-20342	225	170	curve	curve	NOUN
fcis-20342	225	171	,	,	PUNCT
fcis-20342	225	172	figure	figure	NOUN
fcis-20342	225	173	8	8	NUM
fcis-20342	225	174	.	.	PUNCT
fcis-20342	226	1	below	below	ADV
fcis-20342	226	2	shows	show	VERB
fcis-20342	226	3	the	the	DET
fcis-20342	226	4	loss	loss	NOUN
fcis-20342	226	5	curve	curve	NOUN
fcis-20342	226	6	of	of	ADP
fcis-20342	226	7	one	one	NUM
fcis-20342	226	8	training	training	NOUN
fcis-20342	226	9	of	of	ADP
fcis-20342	226	10	the	the	DET
fcis-20342	226	11	model	model	NOUN
fcis-20342	226	12	in	in	ADP
fcis-20342	226	13	this	this	DET
fcis-20342	226	14	paper	paper	NOUN
fcis-20342	226	15	:	:	PUNCT
fcis-20342	226	16	(	(	PUNCT
fcis-20342	226	17	a)test	a)t	ADJ
fcis-20342	226	18	loss	loss	NOUN
fcis-20342	226	19	(	(	PUNCT
fcis-20342	226	20	b)test	b)t	ADJ
fcis-20342	226	21	loss	loss	NOUN
fcis-20342	226	22	pred	pre	VERB
fcis-20342	226	23	(	(	PUNCT
fcis-20342	226	24	c)train	c)train	NOUN
fcis-20342	226	25	loss	loss	NOUN
fcis-20342	226	26	(	(	PUNCT
fcis-20342	226	27	d)train	d)train	NOUN
fcis-20342	226	28	loss	loss	NOUN
fcis-20342	226	29	pred	pre	VERB
fcis-20342	226	30	figure	figure	NOUN
fcis-20342	226	31	8	8	NUM
fcis-20342	226	32	.	.	PUNCT
fcis-20342	227	1	the	the	DET
fcis-20342	227	2	loss	loss	NOUN
fcis-20342	227	3	curve	curve	NOUN
fcis-20342	227	4	of	of	ADP
fcis-20342	227	5	caps	cap	NOUN
fcis-20342	227	6	on	on	ADP
fcis-20342	227	7	the	the	DET
fcis-20342	227	8	model	model	NOUN
fcis-20342	227	9	of	of	ADP
fcis-20342	227	10	this	this	DET
fcis-20342	227	11	paper	paper	NOUN
fcis-20342	227	12	due	due	ADP
fcis-20342	227	13	to	to	ADP
fcis-20342	227	14	the	the	DET
fcis-20342	227	15	division	division	NOUN
fcis-20342	227	16	of	of	ADP
fcis-20342	227	17	the	the	DET
fcis-20342	227	18	training	training	NOUN
fcis-20342	227	19	,	,	PUNCT
fcis-20342	227	20	validation	validation	NOUN
fcis-20342	227	21	and	and	CCONJ
fcis-20342	227	22	test	test	NOUN
fcis-20342	227	23	sets	set	NOUN
fcis-20342	227	24	into	into	ADP
fcis-20342	227	25	0.7:0.1:0.2	0.7:0.1:0.2	NUM
fcis-20342	227	26	,	,	PUNCT
fcis-20342	227	27	and	and	CCONJ
fcis-20342	227	28	the	the	DET
fcis-20342	227	29	fact	fact	NOUN
fcis-20342	227	30	that	that	SCONJ
fcis-20342	227	31	the	the	DET
fcis-20342	227	32	dataset	dataset	NOUN
fcis-20342	227	33	itself	itself	PRON
fcis-20342	227	34	is	be	AUX
fcis-20342	227	35	small	small	ADJ
fcis-20342	227	36	and	and	CCONJ
fcis-20342	227	37	the	the	DET
fcis-20342	227	38	training	training	NOUN
fcis-20342	227	39	set	set	NOUN
fcis-20342	227	40	contains	contain	VERB
fcis-20342	227	41	less	less	ADJ
fcis-20342	227	42	data	datum	NOUN
fcis-20342	227	43	,	,	PUNCT
fcis-20342	227	44	it	it	PRON
fcis-20342	227	45	is	be	AUX
fcis-20342	227	46	difficult	difficult	ADJ
fcis-20342	227	47	to	to	PART
fcis-20342	227	48	determine	determine	VERB
fcis-20342	227	49	whether	whether	SCONJ
fcis-20342	227	50	the	the	DET
fcis-20342	227	51	model	model	NOUN
fcis-20342	227	52	has	have	AUX
fcis-20342	227	53	adequately	adequately	ADV
fcis-20342	227	54	learned	learn	VERB
fcis-20342	227	55	the	the	DET
fcis-20342	227	56	information	information	NOUN
fcis-20342	227	57	embedded	embed	VERB
fcis-20342	227	58	in	in	ADP
fcis-20342	227	59	the	the	DET
fcis-20342	227	60	dataset	dataset	NOUN
fcis-20342	227	61	.	.	PUNCT
fcis-20342	228	1	5.8	5.8	NUM
fcis-20342	228	2	.	.	X
fcis-20342	228	3	10	10	NUM
fcis-20342	228	4	fold	fold	PROPN
fcis-20342	228	5	cross	cross	NOUN
fcis-20342	228	6	validation	validation	NOUN
fcis-20342	228	7	for	for	ADP
fcis-20342	228	8	the	the	DET
fcis-20342	228	9	10	10	NUM
fcis-20342	228	10	-	-	ADJ
fcis-20342	228	11	fold	fold	ADJ
fcis-20342	228	12	cross	cross	ADJ
fcis-20342	228	13	-	-	ADJ
fcis-20342	228	14	validation	validation	ADJ
fcis-20342	228	15	method	method	NOUN
fcis-20342	228	16	experiments	experiment	NOUN
fcis-20342	228	17	,	,	PUNCT
fcis-20342	228	18	this	this	DET
fcis-20342	228	19	paper	paper	NOUN
fcis-20342	228	20	adopts	adopt	VERB
fcis-20342	228	21	the	the	DET
fcis-20342	228	22	following	follow	VERB
fcis-20342	228	23	setup	setup	NOUN
fcis-20342	228	24	:	:	PUNCT
fcis-20342	228	25	using	use	VERB
fcis-20342	228	26	the	the	DET
fcis-20342	228	27	improved	improved	ADJ
fcis-20342	228	28	model	model	NOUN
fcis-20342	228	29	in	in	ADP
fcis-20342	228	30	this	this	DET
fcis-20342	228	31	paper	paper	NOUN
fcis-20342	228	32	,	,	PUNCT
fcis-20342	228	33	the	the	DET
fcis-20342	228	34	caps	cap	NOUN
fcis-20342	228	35	dataset	dataset	VERB
fcis-20342	228	36	is	be	AUX
fcis-20342	228	37	disrupted	disrupt	VERB
fcis-20342	228	38	and	and	CCONJ
fcis-20342	228	39	split	split	VERB
fcis-20342	228	40	into	into	ADP
fcis-20342	228	41	10	10	NUM
fcis-20342	228	42	parts	part	NOUN
fcis-20342	228	43	,	,	PUNCT
fcis-20342	228	44	each	each	DET
fcis-20342	228	45	time	time	NOUN
fcis-20342	228	46	,	,	PUNCT
fcis-20342	228	47	9	9	NUM
fcis-20342	228	48	of	of	ADP
fcis-20342	228	49	them	they	PRON
fcis-20342	228	50	are	be	AUX
fcis-20342	228	51	taken	take	VERB
fcis-20342	228	52	as	as	ADP
fcis-20342	228	53	the	the	DET
fcis-20342	228	54	training	training	NOUN
fcis-20342	228	55	set	set	NOUN
fcis-20342	228	56	,	,	PUNCT
fcis-20342	228	57	and	and	CCONJ
fcis-20342	228	58	1	1	NUM
fcis-20342	228	59	part	part	NOUN
fcis-20342	228	60	is	be	AUX
fcis-20342	228	61	the	the	DET
fcis-20342	228	62	validation	validation	NOUN
fcis-20342	228	63	set	set	NOUN
fcis-20342	228	64	,	,	PUNCT
fcis-20342	228	65	and	and	CCONJ
fcis-20342	228	66	the	the	DET
fcis-20342	228	67	validation	validation	NOUN
fcis-20342	228	68	parameters	parameter	NOUN
fcis-20342	228	69	for	for	ADP
fcis-20342	228	70	all	all	DET
fcis-20342	228	71	32	32	NUM
fcis-20342	228	72	10	10	NUM
fcis-20342	228	73	rounds	round	NOUN
fcis-20342	228	74	of	of	ADP
fcis-20342	228	75	training	training	NOUN
fcis-20342	228	76	are	be	AUX
fcis-20342	228	77	organized	organize	VERB
fcis-20342	228	78	as	as	ADP
fcis-20342	228	79	the	the	DET
fcis-20342	228	80	single	single	ADJ
fcis-20342	228	81	10	10	NUM
fcis-20342	228	82	-	-	ADJ
fcis-20342	228	83	fold	fold	ADJ
fcis-20342	228	84	cross	cross	ADJ
fcis-20342	228	85	-	-	ADJ
fcis-20342	228	86	validation	validation	ADJ
fcis-20342	228	87	method	method	NOUN
fcis-20342	228	88	final	final	ADJ
fcis-20342	228	89	test	test	NOUN
fcis-20342	228	90	results	result	NOUN
fcis-20342	228	91	.	.	PUNCT
fcis-20342	229	1	the	the	DET
fcis-20342	229	2	following	follow	VERB
fcis-20342	229	3	tables	table	NOUN
fcis-20342	229	4	12	12	NUM
fcis-20342	229	5	and	and	CCONJ
fcis-20342	229	6	13	13	NUM
fcis-20342	229	7	are	be	AUX
fcis-20342	229	8	the	the	DET
fcis-20342	229	9	single	single	ADJ
fcis-20342	229	10	test	test	NOUN
fcis-20342	229	11	results	result	NOUN
fcis-20342	229	12	of	of	ADP
fcis-20342	229	13	the	the	DET
fcis-20342	229	14	10	10	NUM
fcis-20342	229	15	-	-	ADJ
fcis-20342	229	16	fold	fold	ADJ
fcis-20342	229	17	cross	cross	ADJ
fcis-20342	229	18	-	-	ADJ
fcis-20342	229	19	validation	validation	ADJ
fcis-20342	229	20	method	method	NOUN
fcis-20342	229	21	,	,	PUNCT
fcis-20342	229	22	in	in	ADP
fcis-20342	229	23	which	which	PRON
fcis-20342	229	24	the	the	DET
fcis-20342	229	25	initial	initial	ADJ
fcis-20342	229	26	test	test	NOUN
fcis-20342	229	27	is	be	AUX
fcis-20342	229	28	the	the	DET
fcis-20342	229	29	experimental	experimental	ADJ
fcis-20342	229	30	results	result	NOUN
fcis-20342	229	31	of	of	ADP
fcis-20342	229	32	this	this	DET
fcis-20342	229	33	paper	paper	NOUN
fcis-20342	229	34	's	's	PART
fcis-20342	229	35	model	model	NOUN
fcis-20342	229	36	in	in	ADP
fcis-20342	229	37	the	the	DET
fcis-20342	229	38	aforementioned	aforementioned	ADJ
fcis-20342	229	39	tables	table	NOUN
fcis-20342	229	40	10	10	NUM
fcis-20342	229	41	and	and	CCONJ
fcis-20342	229	42	11	11	NUM
fcis-20342	229	43	,	,	PUNCT
fcis-20342	229	44	and	and	CCONJ
fcis-20342	229	45	the	the	DET
fcis-20342	229	46	bolded	bolde	VERB
fcis-20342	229	47	part	part	NOUN
fcis-20342	229	48	is	be	AUX
fcis-20342	229	49	the	the	DET
fcis-20342	229	50	best	good	ADJ
fcis-20342	229	51	:	:	PUNCT
fcis-20342	229	52	table	table	NOUN
fcis-20342	229	53	12	12	NUM
fcis-20342	229	54	.	.	PUNCT
fcis-20342	230	1	single	single	ADJ
fcis-20342	230	2	results	result	NOUN
fcis-20342	230	3	mse	mse	PROPN
fcis-20342	230	4	(	(	PUNCT
fcis-20342	230	5	×10	×10	NOUN
fcis-20342	230	6	-	-	SYM
fcis-20342	230	7	2	2	NUM
fcis-20342	230	8	)	)	PUNCT
fcis-20342	230	9	rounds	round	VERB
fcis-20342	230	10	v	v	ADP
fcis-20342	230	11	a	a	PRON
fcis-20342	230	12	d	d	NOUN
fcis-20342	230	13	m	m	NOUN
fcis-20342	230	14	1st	1st	NOUN
fcis-20342	230	15	round	round	ADP
fcis-20342	230	16	1.117	1.117	NUM
fcis-20342	230	17	0.548	0.548	NUM
fcis-20342	230	18	0.836	0.836	NUM
fcis-20342	230	19	0.834	0.834	NUM
fcis-20342	230	20	5th	5th	ADJ
fcis-20342	230	21	round	round	ADP
fcis-20342	230	22	0.954	0.954	NUM
fcis-20342	230	23	0.497	0.497	NUM
fcis-20342	230	24	0.883	0.883	NUM
fcis-20342	230	25	0.778	0.778	NUM
fcis-20342	230	26	10th	10th	ADJ
fcis-20342	230	27	round	round	ADP
fcis-20342	230	28	1.318	1.318	NUM
fcis-20342	230	29	0.417	0.417	NUM
fcis-20342	230	30	0.801	0.801	NUM
fcis-20342	230	31	0.845	0.845	NUM
fcis-20342	230	32	average	average	NOUN
fcis-20342	230	33	1.130	1.130	NUM
fcis-20342	230	34	0.487	0.487	NUM
fcis-20342	230	35	0.840	0.840	NUM
fcis-20342	230	36	0.819	0.819	NUM
fcis-20342	230	37	initial	initial	ADJ
fcis-20342	230	38	testing	testing	NOUN
fcis-20342	230	39	1.524	1.524	NUM
fcis-20342	230	40	0.533	0.533	NUM
fcis-20342	230	41	1.024	1.024	NUM
fcis-20342	230	42	1.027	1.027	NUM
fcis-20342	230	43	table	table	NOUN
fcis-20342	230	44	13	13	NUM
fcis-20342	230	45	.	.	PUNCT
fcis-20342	231	1	single	single	ADJ
fcis-20342	231	2	results	result	NOUN
fcis-20342	231	3	r2(×10	r2(×10	NOUN
fcis-20342	231	4	-	-	SYM
fcis-20342	231	5	1	1	NUM
fcis-20342	231	6	)	)	PUNCT
fcis-20342	231	7	rounds	round	VERB
fcis-20342	231	8	v	v	ADP
fcis-20342	231	9	a	a	DET
fcis-20342	231	10	d	d	NOUN
fcis-20342	231	11	m	m	NOUN
fcis-20342	231	12	1st	1st	NOUN
fcis-20342	231	13	round	round	ADP
fcis-20342	231	14	6.863	6.863	NUM
fcis-20342	231	15	4.455	4.455	NUM
fcis-20342	231	16	6.677	6.677	NUM
fcis-20342	231	17	5.998	5.998	NUM
fcis-20342	231	18	5th	5th	ADJ
fcis-20342	231	19	round	round	ADP
fcis-20342	231	20	7.320	7.320	NUM
fcis-20342	231	21	4.975	4.975	NUM
fcis-20342	231	22	6.490	6.490	NUM
fcis-20342	231	23	6.262	6.262	NUM
fcis-20342	231	24	10th	10th	ADJ
fcis-20342	231	25	round	round	ADP
fcis-20342	231	26	6.298	6.298	NUM
fcis-20342	231	27	5.788	5.788	NUM
fcis-20342	231	28	6.815	6.815	NUM
fcis-20342	231	29	6.300	6.300	NUM
fcis-20342	231	30	average	average	ADJ
fcis-20342	231	31	6.827	6.827	NUM
fcis-20342	231	32	5.073	5.073	NUM
fcis-20342	231	33	6.661	6.661	NUM
fcis-20342	231	34	6.187	6.187	NUM
fcis-20342	231	35	initial	initial	ADJ
fcis-20342	231	36	testing	testing	NOUN
fcis-20342	231	37	5.877	5.877	NUM
fcis-20342	231	38	4.184	4.184	NUM
fcis-20342	231	39	6.317	6.317	NUM
fcis-20342	231	40	5.459	5.459	NUM
fcis-20342	231	41	the	the	DET
fcis-20342	231	42	caps	cap	NOUN
fcis-20342	231	43	dataset	dataset	VERB
fcis-20342	231	44	was	be	AUX
fcis-20342	231	45	randomly	randomly	ADV
fcis-20342	231	46	disrupted	disrupt	VERB
fcis-20342	231	47	multiple	multiple	ADJ
fcis-20342	231	48	times	time	NOUN
fcis-20342	231	49	for	for	ADP
fcis-20342	231	50	10	10	NUM
fcis-20342	231	51	-	-	ADJ
fcis-20342	231	52	fold	fold	ADJ
fcis-20342	231	53	cross	cross	ADJ
fcis-20342	231	54	-	-	ADJ
fcis-20342	231	55	validation	validation	ADJ
fcis-20342	231	56	method	method	NOUN
fcis-20342	231	57	stability	stability	NOUN
fcis-20342	231	58	tests	test	NOUN
fcis-20342	231	59	,	,	PUNCT
fcis-20342	231	60	which	which	PRON
fcis-20342	231	61	were	be	AUX
fcis-20342	231	62	performed	perform	VERB
fcis-20342	231	63	a	a	DET
fcis-20342	231	64	total	total	NOUN
fcis-20342	231	65	of	of	ADP
fcis-20342	231	66	10	10	NUM
fcis-20342	231	67	times	time	NOUN
fcis-20342	231	68	in	in	ADP
fcis-20342	231	69	this	this	DET
fcis-20342	231	70	paper	paper	NOUN
fcis-20342	231	71	,	,	PUNCT
fcis-20342	231	72	and	and	CCONJ
fcis-20342	231	73	the	the	DET
fcis-20342	231	74	results	result	NOUN
fcis-20342	231	75	of	of	ADP
fcis-20342	231	76	multiple	multiple	ADJ
fcis-20342	231	77	10	10	NUM
fcis-20342	231	78	-	-	ADJ
fcis-20342	231	79	fold	fold	ADJ
fcis-20342	231	80	cross	cross	ADJ
fcis-20342	231	81	-	-	ADJ
fcis-20342	231	82	validation	validation	ADJ
fcis-20342	231	83	method	method	NOUN
fcis-20342	231	84	tests	test	NOUN
fcis-20342	231	85	are	be	AUX
fcis-20342	231	86	shown	show	VERB
fcis-20342	231	87	in	in	ADP
fcis-20342	231	88	tables	table	NOUN
fcis-20342	231	89	14	14	NUM
fcis-20342	231	90	and	and	CCONJ
fcis-20342	231	91	15	15	NUM
fcis-20342	231	92	below	below	ADV
fcis-20342	231	93	.	.	PUNCT
fcis-20342	232	1	table	table	NOUN
fcis-20342	232	2	14	14	NUM
fcis-20342	232	3	.	.	PUNCT
fcis-20342	233	1	multiple	multiple	ADJ
fcis-20342	233	2	test	test	NOUN
fcis-20342	233	3	results	result	NOUN
fcis-20342	233	4	mse(×10	mse(×10	NOUN
fcis-20342	233	5	-	-	SYM
fcis-20342	233	6	2	2	NUM
fcis-20342	233	7	)	)	PUNCT
fcis-20342	233	8	times	time	NOUN
fcis-20342	233	9	v	v	ADP
fcis-20342	233	10	a	a	DET
fcis-20342	233	11	d	d	NOUN
fcis-20342	233	12	m	m	NOUN
fcis-20342	233	13	1st	1st	ADJ
fcis-20342	233	14	time	time	NOUN
fcis-20342	233	15	1.130	1.130	NUM
fcis-20342	233	16	0.487	0.487	NUM
fcis-20342	233	17	0.840	0.840	NUM
fcis-20342	233	18	0.819	0.819	NUM
fcis-20342	233	19	5th	5th	ADJ
fcis-20342	233	20	time	time	NOUN
fcis-20342	233	21	1.277	1.277	NUM
fcis-20342	233	22	0.393	0.393	NUM
fcis-20342	233	23	0.888	0.888	NUM
fcis-20342	233	24	0.853	0.853	NUM
fcis-20342	233	25	10th	10th	ADJ
fcis-20342	233	26	time	time	NOUN
fcis-20342	233	27	1.220	1.220	NUM
fcis-20342	233	28	0.459	0.459	NUM
fcis-20342	233	29	0.788	0.788	NUM
fcis-20342	233	30	0.823	0.823	NUM
fcis-20342	233	31	average	average	ADJ
fcis-20342	233	32	1.209	1.209	NUM
fcis-20342	233	33	0.446	0.446	NUM
fcis-20342	233	34	0.839	0.839	NUM
fcis-20342	233	35	0.832	0.832	NUM
fcis-20342	233	36	initial	initial	ADJ
fcis-20342	233	37	testing	testing	NOUN
fcis-20342	233	38	1.524	1.524	NUM
fcis-20342	233	39	0.533	0.533	NUM
fcis-20342	233	40	1.024	1.024	NUM
fcis-20342	233	41	1.027	1.027	NUM
fcis-20342	233	42	table	table	NOUN
fcis-20342	233	43	15	15	NUM
fcis-20342	233	44	.	.	PUNCT
fcis-20342	234	1	multiple	multiple	ADJ
fcis-20342	234	2	test	test	NOUN
fcis-20342	234	3	results	result	NOUN
fcis-20342	234	4	r2(×10	r2(×10	NOUN
fcis-20342	234	5	-	-	SYM
fcis-20342	234	6	1	1	NUM
fcis-20342	234	7	)	)	PUNCT
fcis-20342	234	8	rounds	round	VERB
fcis-20342	234	9	v	v	ADP
fcis-20342	234	10	a	a	DET
fcis-20342	234	11	d	d	NOUN
fcis-20342	234	12	m	m	NOUN
fcis-20342	234	13	1st	1st	ADJ
fcis-20342	234	14	round	round	ADP
fcis-20342	235	1	6.827	6.827	NUM
fcis-20342	235	2	5.073	5.073	NUM
fcis-20342	235	3	6.661	6.661	NUM
fcis-20342	235	4	6.187	6.187	NUM
fcis-20342	235	5	5th	5th	ADJ
fcis-20342	235	6	round	round	ADP
fcis-20342	235	7	6.414	6.414	NUM
fcis-20342	235	8	6.024	6.024	NUM
fcis-20342	235	9	6.470	6.470	NUM
fcis-20342	235	10	6.303	6.303	NUM
fcis-20342	235	11	10th	10th	ADJ
fcis-20342	235	12	round	round	ADP
fcis-20342	235	13	6.574	6.574	NUM
fcis-20342	235	14	5.355	5.355	NUM
fcis-20342	235	15	6.868	6.868	NUM
fcis-20342	235	16	6.266	6.266	NUM
fcis-20342	235	17	average	average	NOUN
fcis-20342	235	18	6.605	6.605	NUM
fcis-20342	235	19	5.484	5.484	NUM
fcis-20342	235	20	6.666	6.666	NUM
fcis-20342	235	21	6.252	6.252	NUM
fcis-20342	235	22	initial	initial	ADJ
fcis-20342	235	23	testing	testing	NOUN
fcis-20342	235	24	5.877	5.877	NUM
fcis-20342	235	25	4.184	4.184	NUM
fcis-20342	235	26	6.317	6.317	NUM
fcis-20342	235	27	5.459	5.459	NUM
fcis-20342	235	28	from	from	ADP
fcis-20342	235	29	tables	table	NOUN
fcis-20342	235	30	14	14	NUM
fcis-20342	235	31	and	and	CCONJ
fcis-20342	235	32	15	15	NUM
fcis-20342	235	33	,	,	PUNCT
fcis-20342	235	34	it	it	PRON
fcis-20342	235	35	can	can	AUX
fcis-20342	235	36	be	be	AUX
fcis-20342	235	37	seen	see	VERB
fcis-20342	235	38	that	that	SCONJ
fcis-20342	235	39	the	the	DET
fcis-20342	235	40	different	different	ADJ
fcis-20342	235	41	divisions	division	NOUN
fcis-20342	235	42	of	of	ADP
fcis-20342	235	43	the	the	DET
fcis-20342	235	44	dataset	dataset	NOUN
fcis-20342	235	45	have	have	VERB
fcis-20342	235	46	a	a	DET
fcis-20342	235	47	certain	certain	ADJ
fcis-20342	235	48	impact	impact	NOUN
fcis-20342	235	49	on	on	ADP
fcis-20342	235	50	the	the	DET
fcis-20342	235	51	model	model	NOUN
fcis-20342	235	52	training	training	NOUN
fcis-20342	235	53	results	result	NOUN
fcis-20342	235	54	,	,	PUNCT
fcis-20342	235	55	but	but	CCONJ
fcis-20342	235	56	on	on	ADP
fcis-20342	235	57	average	average	ADJ
fcis-20342	235	58	the	the	DET
fcis-20342	235	59	impact	impact	NOUN
fcis-20342	235	60	is	be	AUX
fcis-20342	235	61	small	small	ADJ
fcis-20342	235	62	,	,	PUNCT
fcis-20342	235	63	proving	prove	VERB
fcis-20342	235	64	that	that	SCONJ
fcis-20342	235	65	the	the	DET
fcis-20342	235	66	model	model	NOUN
fcis-20342	235	67	stability	stability	NOUN
fcis-20342	235	68	is	be	AUX
fcis-20342	235	69	good	good	ADJ
fcis-20342	235	70	.	.	PUNCT
fcis-20342	236	1	from	from	ADP
fcis-20342	236	2	the	the	DET
fcis-20342	236	3	10	10	NUM
fcis-20342	236	4	-	-	ADJ
fcis-20342	236	5	fold	fold	ADJ
fcis-20342	236	6	cross	cross	NOUN
fcis-20342	236	7	validation	validation	NOUN
fcis-20342	236	8	method	method	NOUN
fcis-20342	236	9	training	training	NOUN
fcis-20342	236	10	results	result	NOUN
fcis-20342	236	11	compared	compare	VERB
fcis-20342	236	12	to	to	ADP
fcis-20342	236	13	the	the	DET
fcis-20342	236	14	initial	initial	ADJ
fcis-20342	236	15	test	test	NOUN
fcis-20342	236	16	results	result	NOUN
fcis-20342	236	17	,	,	PUNCT
fcis-20342	236	18	it	it	PRON
fcis-20342	236	19	can	can	AUX
fcis-20342	236	20	be	be	AUX
fcis-20342	236	21	found	find	VERB
fcis-20342	236	22	that	that	SCONJ
fcis-20342	236	23	the	the	DET
fcis-20342	236	24	10	10	NUM
fcis-20342	236	25	-	-	ADJ
fcis-20342	236	26	fold	fold	ADJ
fcis-20342	236	27	cross	cross	NOUN
fcis-20342	236	28	validation	validation	NOUN
fcis-20342	236	29	method	method	NOUN
fcis-20342	236	30	training	training	NOUN
fcis-20342	236	31	effect	effect	NOUN
fcis-20342	236	32	is	be	AUX
fcis-20342	236	33	better	well	ADJ
fcis-20342	236	34	,	,	PUNCT
fcis-20342	236	35	and	and	CCONJ
fcis-20342	236	36	both	both	DET
fcis-20342	236	37	mse	mse	NOUN
fcis-20342	236	38	and	and	CCONJ
fcis-20342	236	39	r2	r2	PROPN
fcis-20342	236	40	show	show	VERB
fcis-20342	236	41	better	well	ADJ
fcis-20342	236	42	results	result	NOUN
fcis-20342	236	43	.	.	PUNCT
fcis-20342	237	1	analyzing	analyze	VERB
fcis-20342	237	2	the	the	DET
fcis-20342	237	3	results	result	NOUN
fcis-20342	237	4	,	,	PUNCT
fcis-20342	237	5	it	it	PRON
fcis-20342	237	6	can	can	AUX
fcis-20342	237	7	be	be	AUX
fcis-20342	237	8	concluded	conclude	VERB
fcis-20342	237	9	that	that	SCONJ
fcis-20342	237	10	the	the	DET
fcis-20342	237	11	model	model	NOUN
fcis-20342	237	12	does	do	AUX
fcis-20342	237	13	not	not	PART
fcis-20342	237	14	learn	learn	VERB
fcis-20342	237	15	the	the	DET
fcis-20342	237	16	information	information	NOUN
fcis-20342	237	17	of	of	ADP
fcis-20342	237	18	the	the	DET
fcis-20342	237	19	dataset	dataset	NOUN
fcis-20342	237	20	completely	completely	ADV
fcis-20342	237	21	during	during	ADP
fcis-20342	237	22	the	the	DET
fcis-20342	237	23	initial	initial	ADJ
fcis-20342	237	24	test	test	NOUN
fcis-20342	237	25	,	,	PUNCT
fcis-20342	237	26	and	and	CCONJ
fcis-20342	237	27	it	it	PRON
fcis-20342	237	28	can	can	AUX
fcis-20342	237	29	obtain	obtain	VERB
fcis-20342	237	30	better	well	ADJ
fcis-20342	237	31	results	result	NOUN
fcis-20342	237	32	after	after	ADP
fcis-20342	237	33	sufficient	sufficient	ADJ
fcis-20342	237	34	training	training	NOUN
fcis-20342	237	35	and	and	CCONJ
fcis-20342	237	36	learning	learning	NOUN
fcis-20342	237	37	.	.	PUNCT
fcis-20342	238	1	there	there	PRON
fcis-20342	238	2	is	be	VERB
fcis-20342	238	3	no	no	DET
fcis-20342	238	4	overfitting	overfitting	NOUN
fcis-20342	238	5	in	in	ADP
fcis-20342	238	6	any	any	PRON
fcis-20342	238	7	of	of	ADP
fcis-20342	238	8	the	the	DET
fcis-20342	238	9	above	above	ADJ
fcis-20342	238	10	experiments	experiment	NOUN
fcis-20342	238	11	,	,	PUNCT
fcis-20342	238	12	and	and	CCONJ
fcis-20342	238	13	figure	figure	VERB
fcis-20342	238	14	9	9	NUM
fcis-20342	238	15	below	below	ADV
fcis-20342	238	16	shows	show	VERB
fcis-20342	238	17	the	the	DET
fcis-20342	238	18	loss	loss	NOUN
fcis-20342	238	19	curve	curve	NOUN
fcis-20342	238	20	of	of	ADP
fcis-20342	238	21	one	one	NUM
fcis-20342	238	22	of	of	ADP
fcis-20342	238	23	the	the	DET
fcis-20342	238	24	experiments	experiment	NOUN
fcis-20342	238	25	,	,	PUNCT
fcis-20342	238	26	which	which	PRON
fcis-20342	238	27	shows	show	VERB
fcis-20342	238	28	that	that	SCONJ
fcis-20342	238	29	the	the	DET
fcis-20342	238	30	model	model	NOUN
fcis-20342	238	31	is	be	AUX
fcis-20342	238	32	well	well	ADV
fcis-20342	238	33	trained	train	VERB
fcis-20342	238	34	:	:	PUNCT
fcis-20342	238	35	(	(	PUNCT
fcis-20342	238	36	a)test	a)t	ADJ
fcis-20342	238	37	loss	loss	NOUN
fcis-20342	238	38	(	(	PUNCT
fcis-20342	238	39	b)test	b)t	ADJ
fcis-20342	238	40	loss	loss	NOUN
fcis-20342	238	41	pred	pre	VERB
fcis-20342	238	42	(	(	PUNCT
fcis-20342	238	43	c)train	c)train	NOUN
fcis-20342	238	44	loss	loss	NOUN
fcis-20342	238	45	(	(	PUNCT
fcis-20342	238	46	d)train	d)train	NOUN
fcis-20342	238	47	loss	loss	NOUN
fcis-20342	238	48	pred	pre	VERB
fcis-20342	238	49	figure	figure	NOUN
fcis-20342	238	50	9	9	NUM
fcis-20342	238	51	.	.	PUNCT
fcis-20342	238	52	loss	loss	NOUN
fcis-20342	238	53	curves	curve	NOUN
fcis-20342	238	54	for	for	ADP
fcis-20342	238	55	caps	cap	NOUN
fcis-20342	238	56	10	10	NUM
fcis-20342	238	57	-	-	ADJ
fcis-20342	238	58	fold	fold	ADJ
fcis-20342	238	59	cross	cross	NOUN
fcis-20342	238	60	-	-	NOUN
fcis-20342	238	61	validation	validation	ADJ
fcis-20342	238	62	33	33	NUM
fcis-20342	238	63	5.9	5.9	NUM
fcis-20342	238	64	.	.	PUNCT
fcis-20342	239	1	paired	pair	VERB
fcis-20342	239	2	samples	sample	NOUN
fcis-20342	239	3	t	t	NOUN
fcis-20342	239	4	-	-	PUNCT
fcis-20342	239	5	test	test	NOUN
fcis-20342	239	6	in	in	ADP
fcis-20342	239	7	this	this	DET
fcis-20342	239	8	paper	paper	NOUN
fcis-20342	239	9	,	,	PUNCT
fcis-20342	239	10	caps	cap	NOUN
fcis-20342	239	11	is	be	AUX
fcis-20342	239	12	introduced	introduce	VERB
fcis-20342	239	13	into	into	ADP
fcis-20342	239	14	the	the	DET
fcis-20342	239	15	field	field	NOUN
fcis-20342	239	16	of	of	ADP
fcis-20342	239	17	image	image	NOUN
fcis-20342	239	18	sentiment	sentiment	NOUN
fcis-20342	239	19	analysis	analysis	NOUN
fcis-20342	239	20	,	,	PUNCT
fcis-20342	239	21	and	and	CCONJ
fcis-20342	239	22	the	the	DET
fcis-20342	239	23	experimental	experimental	ADJ
fcis-20342	239	24	results	result	NOUN
fcis-20342	239	25	of	of	ADP
fcis-20342	239	26	its	its	PRON
fcis-20342	239	27	model	model	NOUN
fcis-20342	239	28	show	show	VERB
fcis-20342	239	29	good	good	ADJ
fcis-20342	239	30	performance	performance	NOUN
fcis-20342	239	31	of	of	ADP
fcis-20342	239	32	indicators	indicator	NOUN
fcis-20342	239	33	,	,	PUNCT
fcis-20342	239	34	so	so	ADV
fcis-20342	239	35	its	its	PRON
fcis-20342	239	36	overall	overall	ADJ
fcis-20342	239	37	situation	situation	NOUN
fcis-20342	239	38	is	be	AUX
fcis-20342	239	39	analyzed	analyze	VERB
fcis-20342	239	40	by	by	ADP
fcis-20342	239	41	paired	pair	VERB
fcis-20342	239	42	sample	sample	NOUN
fcis-20342	239	43	t	t	PROPN
fcis-20342	239	44	-	-	PUNCT
fcis-20342	239	45	test	test	NOUN
fcis-20342	239	46	,	,	PUNCT
fcis-20342	239	47	and	and	CCONJ
fcis-20342	239	48	the	the	DET
fcis-20342	239	49	results	result	NOUN
fcis-20342	239	50	are	be	AUX
fcis-20342	239	51	shown	show	VERB
fcis-20342	239	52	in	in	ADP
fcis-20342	239	53	the	the	DET
fcis-20342	239	54	table	table	NOUN
fcis-20342	239	55	below	below	ADV
fcis-20342	239	56	:	:	PUNCT
fcis-20342	239	57	table	table	NOUN
fcis-20342	239	58	16	16	NUM
fcis-20342	239	59	.	.	PUNCT
fcis-20342	240	1	caps	cap	NOUN
fcis-20342	240	2	paired	pair	VERB
fcis-20342	240	3	samples	sample	NOUN
fcis-20342	240	4	t	t	NOUN
fcis-20342	240	5	-	-	PUNCT
fcis-20342	240	6	tests	test	NOUN
fcis-20342	240	7	paired	pair	VERB
fcis-20342	240	8	group	group	NOUN
fcis-20342	240	9	relevance	relevance	NOUN
fcis-20342	240	10	significance	significance	NOUN
fcis-20342	240	11	t	t	PROPN
fcis-20342	240	12	sig	sig	PROPN
fcis-20342	240	13	.	.	PUNCT
fcis-20342	241	1	(	(	PUNCT
fcis-20342	241	2	2tailed	2tailed	NUM
fcis-20342	241	3	)	)	PUNCT
fcis-20342	241	4	v	v	ADP
fcis-20342	241	5	0.942	0.942	NUM
fcis-20342	241	6	0.000	0.000	NUM
fcis-20342	241	7	-1.834	-1.834	PROPN
fcis-20342	241	8	0.067	0.067	NUM
fcis-20342	241	9	a	a	DET
fcis-20342	241	10	0.895	0.895	NUM
fcis-20342	241	11	0.000	0.000	NUM
fcis-20342	241	12	-4.752	-4.752	NOUN
fcis-20342	241	13	0.000	0.000	NUM
fcis-20342	241	14	d	d	NUM
fcis-20342	241	15	0.943	0.943	NUM
fcis-20342	241	16	0.000	0.000	NUM
fcis-20342	241	17	3.292	3.292	NUM
fcis-20342	241	18	0.001	0.001	NUM
fcis-20342	241	19	from	from	ADP
fcis-20342	241	20	table	table	NOUN
fcis-20342	241	21	(	(	PUNCT
fcis-20342	241	22	b	b	NOUN
fcis-20342	241	23	)	)	PUNCT
fcis-20342	241	24	above	above	ADV
fcis-20342	241	25	,	,	PUNCT
fcis-20342	241	26	it	it	PRON
fcis-20342	241	27	can	can	AUX
fcis-20342	241	28	be	be	AUX
fcis-20342	241	29	seen	see	VERB
fcis-20342	241	30	that	that	SCONJ
fcis-20342	241	31	there	there	PRON
fcis-20342	241	32	is	be	VERB
fcis-20342	241	33	a	a	DET
fcis-20342	241	34	significant	significant	ADJ
fcis-20342	241	35	positive	positive	ADJ
fcis-20342	241	36	correlation	correlation	NOUN
fcis-20342	241	37	between	between	ADP
fcis-20342	241	38	the	the	DET
fcis-20342	241	39	predicted	predict	VERB
fcis-20342	241	40	and	and	CCONJ
fcis-20342	241	41	actual	actual	ADJ
fcis-20342	241	42	values	value	NOUN
fcis-20342	241	43	of	of	ADP
fcis-20342	241	44	caps	cap	NOUN
fcis-20342	241	45	and	and	CCONJ
fcis-20342	241	46	the	the	DET
fcis-20342	241	47	degree	degree	NOUN
fcis-20342	241	48	of	of	ADP
fcis-20342	241	49	correlation	correlation	NOUN
fcis-20342	241	50	is	be	AUX
fcis-20342	241	51	high	high	ADJ
fcis-20342	241	52	and	and	CCONJ
fcis-20342	241	53	the	the	DET
fcis-20342	241	54	model	model	NOUN
fcis-20342	241	55	is	be	AUX
fcis-20342	241	56	well	well	ADV
fcis-20342	241	57	fitted	fit	VERB
fcis-20342	241	58	.	.	PUNCT
fcis-20342	242	1	from	from	ADP
fcis-20342	242	2	table	table	NOUN
fcis-20342	242	3	(	(	PUNCT
fcis-20342	242	4	c	c	NOUN
fcis-20342	242	5	)	)	PUNCT
fcis-20342	242	6	above	above	ADV
fcis-20342	242	7	,	,	PUNCT
fcis-20342	242	8	it	it	PRON
fcis-20342	242	9	can	can	AUX
fcis-20342	242	10	be	be	AUX
fcis-20342	242	11	seen	see	VERB
fcis-20342	242	12	that	that	SCONJ
fcis-20342	242	13	the	the	DET
fcis-20342	242	14	predicted	predict	VERB
fcis-20342	242	15	v	v	NOUN
fcis-20342	242	16	and	and	CCONJ
fcis-20342	242	17	a	a	PRON
fcis-20342	242	18	are	be	AUX
fcis-20342	242	19	both	both	CCONJ
fcis-20342	242	20	lower	low	ADJ
fcis-20342	242	21	than	than	ADP
fcis-20342	242	22	the	the	DET
fcis-20342	242	23	actual	actual	ADJ
fcis-20342	242	24	values	value	NOUN
fcis-20342	242	25	,	,	PUNCT
fcis-20342	242	26	and	and	CCONJ
fcis-20342	242	27	the	the	DET
fcis-20342	242	28	predicted	predict	VERB
fcis-20342	242	29	d	d	NOUN
fcis-20342	242	30	is	be	AUX
fcis-20342	242	31	higher	high	ADJ
fcis-20342	242	32	;	;	PUNCT
fcis-20342	242	33	the	the	DET
fcis-20342	242	34	difference	difference	NOUN
fcis-20342	242	35	is	be	AUX
fcis-20342	242	36	not	not	PART
fcis-20342	242	37	significant	significant	ADJ
fcis-20342	242	38	in	in	ADP
fcis-20342	242	39	the	the	DET
fcis-20342	242	40	v	v	NOUN
fcis-20342	242	41	dimension	dimension	NOUN
fcis-20342	242	42	(	(	PUNCT
fcis-20342	242	43	p>0.05	p>0.05	NOUN
fcis-20342	242	44	)	)	PUNCT
fcis-20342	242	45	,	,	PUNCT
fcis-20342	242	46	very	very	ADV
fcis-20342	242	47	significant	significant	ADJ
fcis-20342	242	48	in	in	ADP
fcis-20342	242	49	the	the	DET
fcis-20342	242	50	a	a	DET
fcis-20342	242	51	dimension	dimension	NOUN
fcis-20342	242	52	(	(	PUNCT
fcis-20342	242	53	p<0.001	p<0.001	PROPN
fcis-20342	242	54	)	)	PUNCT
fcis-20342	242	55	,	,	PUNCT
fcis-20342	242	56	and	and	CCONJ
fcis-20342	242	57	significant	significant	ADJ
fcis-20342	242	58	in	in	ADP
fcis-20342	242	59	the	the	DET
fcis-20342	242	60	d	d	PROPN
fcis-20342	242	61	dimension	dimension	NOUN
fcis-20342	242	62	(	(	PUNCT
fcis-20342	242	63	p<0.01	p<0.01	PROPN
fcis-20342	242	64	)	)	PUNCT
fcis-20342	242	65	.	.	PUNCT
fcis-20342	243	1	from	from	ADP
fcis-20342	243	2	the	the	DET
fcis-20342	243	3	perspective	perspective	NOUN
fcis-20342	243	4	of	of	ADP
fcis-20342	243	5	psychological	psychological	ADJ
fcis-20342	243	6	research	research	NOUN
fcis-20342	243	7	,	,	PUNCT
fcis-20342	243	8	as	as	ADP
fcis-20342	243	9	a	a	DET
fcis-20342	243	10	reference	reference	NOUN
fcis-20342	243	11	,	,	PUNCT
fcis-20342	243	12	chinese	chinese	ADJ
fcis-20342	243	13	researchers	researcher	NOUN
fcis-20342	243	14	analyzed	analyze	VERB
fcis-20342	243	15	the	the	DET
fcis-20342	243	16	paired	pair	VERB
fcis-20342	243	17	-	-	PUNCT
fcis-20342	243	18	sample	sample	NOUN
fcis-20342	243	19	ttest	tt	ADJ
fcis-20342	243	20	correlations	correlation	NOUN
fcis-20342	243	21	of	of	ADP
fcis-20342	243	22	emotion	emotion	NOUN
fcis-20342	243	23	reports	report	NOUN
fcis-20342	243	24	of	of	ADP
fcis-20342	243	25	different	different	ADJ
fcis-20342	243	26	gender	gender	NOUN
fcis-20342	243	27	groups	group	NOUN
fcis-20342	243	28	in	in	ADP
fcis-20342	243	29	localized	localized	ADJ
fcis-20342	243	30	tests	test	NOUN
fcis-20342	243	31	of	of	ADP
fcis-20342	243	32	the	the	DET
fcis-20342	243	33	iaps	iap	NOUN
fcis-20342	243	34	dataset	dataset	VERB
fcis-20342	243	35	as	as	SCONJ
fcis-20342	243	36	follows	follow	VERB
fcis-20342	243	37	:	:	PUNCT
fcis-20342	243	38	in	in	ADP
fcis-20342	243	39	the	the	DET
fcis-20342	243	40	smallgroup	smallgroup	PROPN
fcis-20342	243	41	test	test	NOUN
fcis-20342	244	1	[	[	X
fcis-20342	244	2	7	7	NUM
fcis-20342	244	3	]	]	PUNCT
fcis-20342	244	4	,	,	PUNCT
fcis-20342	244	5	the	the	DET
fcis-20342	244	6	pleasantness	pleasantness	NOUN
fcis-20342	244	7	correlation	correlation	NOUN
fcis-20342	244	8	r=0.968	r=0.968	NOUN
fcis-20342	244	9	,	,	PUNCT
fcis-20342	244	10	the	the	DET
fcis-20342	244	11	arousal	arousal	ADJ
fcis-20342	244	12	correlation	correlation	NOUN
fcis-20342	244	13	r=0.876	r=0.876	NOUN
fcis-20342	244	14	,	,	PUNCT
fcis-20342	244	15	and	and	CCONJ
fcis-20342	244	16	the	the	DET
fcis-20342	244	17	dominance	dominance	NOUN
fcis-20342	244	18	correlation	correlation	NOUN
fcis-20342	244	19	r=0.945	r=0.945	ADP
fcis-20342	244	20	,	,	PUNCT
fcis-20342	244	21	with	with	SCONJ
fcis-20342	244	22	all	all	DET
fcis-20342	244	23	the	the	DET
fcis-20342	244	24	dimensions	dimension	NOUN
fcis-20342	244	25	being	be	AUX
fcis-20342	244	26	significantly	significantly	ADV
fcis-20342	244	27	correlated	correlate	VERB
fcis-20342	244	28	(	(	PUNCT
fcis-20342	244	29	p	p	X
fcis-20342	244	30	<	<	X
fcis-20342	244	31	0.01	0.01	NUM
fcis-20342	244	32	)	)	PUNCT
fcis-20342	244	33	,	,	PUNCT
fcis-20342	244	34	with	with	ADP
fcis-20342	244	35	a	a	DET
fcis-20342	244	36	significant	significant	ADJ
fcis-20342	244	37	difference	difference	NOUN
fcis-20342	244	38	in	in	ADP
fcis-20342	244	39	variance	variance	NOUN
fcis-20342	244	40	between	between	ADP
fcis-20342	244	41	v	v	NOUN
fcis-20342	244	42	and	and	CCONJ
fcis-20342	244	43	a	a	DET
fcis-20342	244	44	(	(	PUNCT
fcis-20342	244	45	p<0.01	p<0.01	PROPN
fcis-20342	244	46	)	)	PUNCT
fcis-20342	244	47	,	,	PUNCT
fcis-20342	244	48	and	and	CCONJ
fcis-20342	244	49	a	a	DET
fcis-20342	244	50	non	non	ADJ
fcis-20342	244	51	-	-	ADJ
fcis-20342	244	52	significant	significant	ADJ
fcis-20342	244	53	difference	difference	NOUN
fcis-20342	244	54	in	in	ADP
fcis-20342	244	55	dimension	dimension	NOUN
fcis-20342	244	56	d	d	PROPN
fcis-20342	244	57	(	(	PUNCT
fcis-20342	244	58	p>0.05	p>0.05	PROPN
fcis-20342	244	59	)	)	PUNCT
fcis-20342	244	60	;	;	PUNCT
fcis-20342	244	61	in	in	ADP
fcis-20342	244	62	the	the	DET
fcis-20342	244	63	large	large	ADJ
fcis-20342	244	64	sample	sample	NOUN
fcis-20342	244	65	test	test	NOUN
fcis-20342	244	66	[	[	X
fcis-20342	244	67	8	8	NUM
fcis-20342	244	68	]	]	PUNCT
fcis-20342	244	69	,	,	PUNCT
fcis-20342	244	70	the	the	DET
fcis-20342	244	71	pleasantness	pleasantness	NOUN
fcis-20342	244	72	correlation	correlation	NOUN
fcis-20342	244	73	r=0.895	r=0.895	PROPN
fcis-20342	244	74	,	,	PUNCT
fcis-20342	244	75	the	the	DET
fcis-20342	244	76	arousal	arousal	ADJ
fcis-20342	244	77	correlation	correlation	NOUN
fcis-20342	244	78	r=0.636	r=0.636	ADP
fcis-20342	244	79	,	,	PUNCT
fcis-20342	244	80	and	and	CCONJ
fcis-20342	244	81	the	the	DET
fcis-20342	244	82	dominance	dominance	NOUN
fcis-20342	244	83	correlation	correlation	NOUN
fcis-20342	244	84	r=0.812	r=0.812	NOUN
fcis-20342	244	85	,	,	PUNCT
fcis-20342	244	86	with	with	ADP
fcis-20342	244	87	significant	significant	ADJ
fcis-20342	244	88	correlations	correlation	NOUN
fcis-20342	244	89	in	in	ADP
fcis-20342	244	90	all	all	DET
fcis-20342	244	91	dimensions	dimension	NOUN
fcis-20342	244	92	(	(	PUNCT
fcis-20342	244	93	p<0.01	p<0.01	PROPN
fcis-20342	244	94	)	)	PUNCT
fcis-20342	244	95	,	,	PUNCT
fcis-20342	244	96	and	and	CCONJ
fcis-20342	244	97	a	a	DET
fcis-20342	244	98	significant	significant	ADJ
fcis-20342	244	99	difference	difference	NOUN
fcis-20342	244	100	in	in	ADP
fcis-20342	244	101	variance	variance	NOUN
fcis-20342	244	102	in	in	ADP
fcis-20342	244	103	all	all	DET
fcis-20342	244	104	dimensions	dimension	NOUN
fcis-20342	244	105	(	(	PUNCT
fcis-20342	244	106	p<0.01	p<0.01	PROPN
fcis-20342	244	107	)	)	PUNCT
fcis-20342	244	108	.	.	PUNCT
fcis-20342	245	1	in	in	ADP
fcis-20342	245	2	psychological	psychological	ADJ
fcis-20342	245	3	research	research	NOUN
fcis-20342	245	4	,	,	PUNCT
fcis-20342	245	5	demographic	demographic	ADJ
fcis-20342	245	6	variables	variable	NOUN
fcis-20342	245	7	(	(	PUNCT
fcis-20342	245	8	e.g.	e.g.	ADV
fcis-20342	245	9	,	,	PUNCT
fcis-20342	245	10	age	age	NOUN
fcis-20342	245	11	,	,	PUNCT
fcis-20342	245	12	gender	gender	NOUN
fcis-20342	245	13	,	,	PUNCT
fcis-20342	245	14	education	education	NOUN
fcis-20342	245	15	,	,	PUNCT
fcis-20342	245	16	and	and	CCONJ
fcis-20342	245	17	subject	subject	ADJ
fcis-20342	245	18	specialization	specialization	NOUN
fcis-20342	245	19	)	)	PUNCT
fcis-20342	245	20	all	all	PRON
fcis-20342	245	21	differ	differ	VERB
fcis-20342	245	22	in	in	ADP
fcis-20342	245	23	their	their	PRON
fcis-20342	245	24	ratings	rating	NOUN
fcis-20342	245	25	of	of	ADP
fcis-20342	245	26	emotional	emotional	ADJ
fcis-20342	245	27	stimuli	stimulus	NOUN
fcis-20342	245	28	,	,	PUNCT
fcis-20342	245	29	but	but	CCONJ
fcis-20342	245	30	at	at	ADP
fcis-20342	245	31	the	the	DET
fcis-20342	245	32	same	same	ADJ
fcis-20342	245	33	time	time	NOUN
fcis-20342	245	34	,	,	PUNCT
fcis-20342	245	35	ratings	rating	NOUN
fcis-20342	245	36	of	of	ADP
fcis-20342	245	37	different	different	ADJ
fcis-20342	245	38	categorical	categorical	ADJ
fcis-20342	245	39	groups	group	NOUN
fcis-20342	245	40	correlate	correlate	VERB
fcis-20342	245	41	to	to	ADP
fcis-20342	245	42	a	a	DET
fcis-20342	245	43	high	high	ADJ
fcis-20342	245	44	degree	degree	NOUN
fcis-20342	245	45	.	.	PUNCT
fcis-20342	246	1	when	when	SCONJ
fcis-20342	246	2	as	as	ADP
fcis-20342	246	3	a	a	DET
fcis-20342	246	4	group	group	NOUN
fcis-20342	246	5	,	,	PUNCT
fcis-20342	246	6	such	such	ADJ
fcis-20342	246	7	as	as	ADP
fcis-20342	246	8	in	in	ADP
fcis-20342	246	9	the	the	DET
fcis-20342	246	10	chinese	chinese	ADJ
fcis-20342	246	11	cultural	cultural	ADJ
fcis-20342	246	12	context	context	NOUN
fcis-20342	246	13	,	,	PUNCT
fcis-20342	246	14	the	the	DET
fcis-20342	246	15	correlation	correlation	NOUN
fcis-20342	246	16	of	of	ADP
fcis-20342	246	17	group	group	NOUN
fcis-20342	246	18	emotional	emotional	ADJ
fcis-20342	246	19	responses	response	NOUN
fcis-20342	246	20	is	be	AUX
fcis-20342	246	21	high	high	ADJ
fcis-20342	246	22	,	,	PUNCT
fcis-20342	246	23	but	but	CCONJ
fcis-20342	246	24	there	there	PRON
fcis-20342	246	25	is	be	VERB
fcis-20342	246	26	also	also	ADV
fcis-20342	246	27	variability	variability	NOUN
fcis-20342	246	28	in	in	ADP
fcis-20342	246	29	emotional	emotional	ADJ
fcis-20342	246	30	responses	response	NOUN
fcis-20342	246	31	under	under	ADP
fcis-20342	246	32	smaller	small	ADJ
fcis-20342	246	33	group	group	NOUN
fcis-20342	246	34	divisions	division	NOUN
fcis-20342	246	35	such	such	ADJ
fcis-20342	246	36	as	as	ADP
fcis-20342	246	37	males	male	NOUN
fcis-20342	246	38	and	and	CCONJ
fcis-20342	246	39	females	female	NOUN
fcis-20342	246	40	;	;	PUNCT
fcis-20342	246	41	when	when	SCONJ
fcis-20342	246	42	emotional	emotional	ADJ
fcis-20342	246	43	responses	response	NOUN
fcis-20342	246	44	are	be	AUX
fcis-20342	246	45	fine	fine	ADV
fcis-20342	246	46	-	-	PUNCT
fcis-20342	246	47	tuned	tune	VERB
fcis-20342	246	48	to	to	ADP
fcis-20342	246	49	individual	individual	ADJ
fcis-20342	246	50	subjects	subject	NOUN
fcis-20342	246	51	,	,	PUNCT
fcis-20342	246	52	the	the	DET
fcis-20342	246	53	same	same	ADJ
fcis-20342	246	54	overall	overall	ADJ
fcis-20342	246	55	correlation	correlation	NOUN
fcis-20342	246	56	and	and	CCONJ
fcis-20342	246	57	fine	fine	ADV
fcis-20342	246	58	-	-	PUNCT
fcis-20342	246	59	grained	grain	VERB
fcis-20342	246	60	differences	difference	NOUN
fcis-20342	246	61	occur	occur	VERB
fcis-20342	246	62	between	between	ADP
fcis-20342	246	63	each	each	DET
fcis-20342	246	64	subject	subject	NOUN
fcis-20342	246	65	.	.	PUNCT
fcis-20342	247	1	based	base	VERB
fcis-20342	247	2	on	on	ADP
fcis-20342	247	3	the	the	DET
fcis-20342	247	4	above	above	ADJ
fcis-20342	247	5	psychological	psychological	ADJ
fcis-20342	247	6	realities	reality	NOUN
fcis-20342	247	7	,	,	PUNCT
fcis-20342	247	8	the	the	DET
fcis-20342	247	9	predicted	predict	VERB
fcis-20342	247	10	values	value	NOUN
fcis-20342	247	11	of	of	ADP
fcis-20342	247	12	the	the	DET
fcis-20342	247	13	caps	cap	NOUN
fcis-20342	247	14	model	model	NOUN
fcis-20342	247	15	also	also	ADV
fcis-20342	247	16	show	show	VERB
fcis-20342	247	17	overall	overall	ADJ
fcis-20342	247	18	correlation	correlation	NOUN
fcis-20342	247	19	and	and	CCONJ
fcis-20342	247	20	fine	fine	ADV
fcis-20342	247	21	-	-	PUNCT
fcis-20342	247	22	grained	grain	VERB
fcis-20342	247	23	differences	difference	NOUN
fcis-20342	247	24	.	.	PUNCT
fcis-20342	248	1	in	in	ADP
fcis-20342	248	2	grouporiented	grouporiente	VERB
fcis-20342	248	3	applications	application	NOUN
fcis-20342	248	4	,	,	PUNCT
fcis-20342	248	5	the	the	DET
fcis-20342	248	6	overall	overall	ADJ
fcis-20342	248	7	high	high	ADJ
fcis-20342	248	8	correlation	correlation	NOUN
fcis-20342	248	9	has	have	AUX
fcis-20342	248	10	been	be	AUX
fcis-20342	248	11	able	able	ADJ
fcis-20342	248	12	to	to	PART
fcis-20342	248	13	make	make	VERB
fcis-20342	248	14	good	good	ADJ
fcis-20342	248	15	predictions	prediction	NOUN
fcis-20342	248	16	of	of	ADP
fcis-20342	248	17	the	the	DET
fcis-20342	248	18	group	group	NOUN
fcis-20342	248	19	's	's	PART
fcis-20342	248	20	emotional	emotional	ADJ
fcis-20342	248	21	stimulus	stimulus	ADJ
fcis-20342	248	22	levels	level	NOUN
fcis-20342	248	23	,	,	PUNCT
fcis-20342	248	24	but	but	CCONJ
fcis-20342	248	25	individualized	individualized	ADJ
fcis-20342	248	26	adjustments	adjustment	NOUN
fcis-20342	248	27	are	be	AUX
fcis-20342	248	28	still	still	ADV
fcis-20342	248	29	needed	need	VERB
fcis-20342	248	30	in	in	ADP
fcis-20342	248	31	personalized	personalized	ADJ
fcis-20342	248	32	emotion	emotion	NOUN
fcis-20342	248	33	prediction	prediction	NOUN
fcis-20342	248	34	tasks	task	NOUN
fcis-20342	248	35	.	.	PUNCT
fcis-20342	249	1	6	6	X
fcis-20342	249	2	.	.	X
fcis-20342	249	3	conclusion	conclusion	NOUN
fcis-20342	249	4	6.1	6.1	NUM
fcis-20342	249	5	.	.	PUNCT
fcis-20342	249	6	improved	improve	VERB
fcis-20342	249	7	image	image	NOUN
fcis-20342	249	8	emotion	emotion	NOUN
fcis-20342	249	9	regression	regression	VERB
fcis-20342	249	10	multiple	multiple	ADJ
fcis-20342	249	11	attention	attention	NOUN
fcis-20342	249	12	network	network	NOUN
fcis-20342	249	13	in	in	ADP
fcis-20342	249	14	the	the	DET
fcis-20342	249	15	above	above	ADJ
fcis-20342	249	16	experimental	experimental	ADJ
fcis-20342	249	17	results	result	NOUN
fcis-20342	249	18	,	,	PUNCT
fcis-20342	249	19	the	the	DET
fcis-20342	249	20	improved	improved	ADJ
fcis-20342	249	21	model	model	NOUN
fcis-20342	249	22	of	of	ADP
fcis-20342	249	23	this	this	DET
fcis-20342	249	24	paper	paper	NOUN
fcis-20342	249	25	is	be	AUX
fcis-20342	249	26	slightly	slightly	ADV
fcis-20342	249	27	better	well	ADJ
fcis-20342	249	28	than	than	ADP
fcis-20342	249	29	pdanet	pdanet	NOUN
fcis-20342	249	30	in	in	ADP
fcis-20342	249	31	general	general	PROPN
fcis-20342	249	32	.	.	PUNCT
fcis-20342	250	1	analyzing	analyze	VERB
fcis-20342	250	2	the	the	DET
fcis-20342	250	3	results	result	NOUN
fcis-20342	250	4	of	of	ADP
fcis-20342	250	5	each	each	DET
fcis-20342	250	6	dimension	dimension	NOUN
fcis-20342	250	7	,	,	PUNCT
fcis-20342	250	8	it	it	PRON
fcis-20342	250	9	can	can	AUX
fcis-20342	250	10	be	be	AUX
fcis-20342	250	11	seen	see	VERB
fcis-20342	250	12	that	that	SCONJ
fcis-20342	250	13	the	the	DET
fcis-20342	250	14	model	model	NOUN
fcis-20342	250	15	of	of	ADP
fcis-20342	250	16	this	this	DET
fcis-20342	250	17	paper	paper	NOUN
fcis-20342	250	18	improves	improve	VERB
fcis-20342	250	19	from	from	ADP
fcis-20342	250	20	1.279	1.279	NUM
fcis-20342	250	21	to	to	ADP
fcis-20342	250	22	1.234	1.234	NUM
fcis-20342	250	23	for	for	ADP
fcis-20342	250	24	iaps	iap	NOUN
fcis-20342	250	25	dataset	dataset	VERB
fcis-20342	250	26	and	and	CCONJ
fcis-20342	250	27	0.971	0.971	NUM
fcis-20342	250	28	to	to	ADP
fcis-20342	250	29	0.932	0.932	NUM
fcis-20342	250	30	for	for	ADP
fcis-20342	250	31	naps	nap	NOUN
fcis-20342	250	32	in	in	ADP
fcis-20342	250	33	mse	mse	PROPN
fcis-20342	250	34	indicator	indicator	NOUN
fcis-20342	250	35	of	of	ADP
fcis-20342	250	36	the	the	DET
fcis-20342	250	37	relevant	relevant	ADJ
fcis-20342	250	38	parameter	parameter	NOUN
fcis-20342	250	39	of	of	ADP
fcis-20342	250	40	dimension	dimension	NOUN
fcis-20342	250	41	a	a	PRON
fcis-20342	250	42	;	;	PUNCT
fcis-20342	250	43	in	in	ADP
fcis-20342	250	44	the	the	DET
fcis-20342	250	45	indicator	indicator	NOUN
fcis-20342	250	46	of	of	ADP
fcis-20342	250	47	r2	r2	PROPN
fcis-20342	250	48	,	,	PUNCT
fcis-20342	250	49	the	the	DET
fcis-20342	250	50	performance	performance	NOUN
fcis-20342	250	51	of	of	ADP
fcis-20342	250	52	iaps	iap	NOUN
fcis-20342	250	53	dataset	dataset	VERB
fcis-20342	250	54	is	be	AUX
fcis-20342	250	55	significantly	significantly	ADV
fcis-20342	250	56	improved	improve	VERB
fcis-20342	250	57	from	from	ADP
fcis-20342	250	58	3.479	3.479	NUM
fcis-20342	250	59	to	to	ADP
fcis-20342	250	60	3.704	3.704	NUM
fcis-20342	250	61	and	and	CCONJ
fcis-20342	250	62	the	the	DET
fcis-20342	250	63	naps	nap	NOUN
fcis-20342	250	64	dataset	dataset	VERB
fcis-20342	250	65	also	also	ADV
fcis-20342	250	66	improves	improve	VERB
fcis-20342	250	67	from	from	ADP
fcis-20342	250	68	4.443	4.443	NUM
fcis-20342	250	69	to	to	ADP
fcis-20342	250	70	4.612	4.612	NUM
fcis-20342	250	71	,	,	PUNCT
fcis-20342	250	72	it	it	PRON
fcis-20342	250	73	can	can	AUX
fcis-20342	250	74	be	be	AUX
fcis-20342	250	75	said	say	VERB
fcis-20342	250	76	that	that	SCONJ
fcis-20342	250	77	the	the	DET
fcis-20342	250	78	improvement	improvement	NOUN
fcis-20342	250	79	of	of	ADP
fcis-20342	250	80	the	the	DET
fcis-20342	250	81	performance	performance	NOUN
fcis-20342	250	82	in	in	ADP
fcis-20342	250	83	this	this	DET
fcis-20342	250	84	dimension	dimension	NOUN
fcis-20342	250	85	is	be	AUX
fcis-20342	250	86	the	the	DET
fcis-20342	250	87	key	key	NOUN
fcis-20342	250	88	to	to	ADP
fcis-20342	250	89	the	the	DET
fcis-20342	250	90	overall	overall	ADJ
fcis-20342	250	91	performance	performance	NOUN
fcis-20342	250	92	improvement	improvement	NOUN
fcis-20342	250	93	;	;	PUNCT
fcis-20342	250	94	however	however	ADV
fcis-20342	250	95	,	,	PUNCT
fcis-20342	250	96	the	the	DET
fcis-20342	250	97	metrics	metric	NOUN
fcis-20342	250	98	performance	performance	NOUN
fcis-20342	250	99	of	of	ADP
fcis-20342	250	100	this	this	DET
fcis-20342	250	101	paper	paper	NOUN
fcis-20342	250	102	's	's	PART
fcis-20342	250	103	model	model	NOUN
fcis-20342	250	104	in	in	ADP
fcis-20342	250	105	dimensions	dimension	NOUN
fcis-20342	250	106	v	v	NOUN
fcis-20342	251	1	and	and	CCONJ
fcis-20342	251	2	d	d	PROPN
fcis-20342	251	3	both	both	PRON
fcis-20342	251	4	have	have	VERB
fcis-20342	251	5	a	a	DET
fcis-20342	251	6	certain	certain	ADJ
fcis-20342	251	7	decline	decline	NOUN
fcis-20342	251	8	compared	compare	VERB
fcis-20342	251	9	to	to	ADP
fcis-20342	251	10	pdanet	pdanet	NOUN
fcis-20342	251	11	,	,	PUNCT
fcis-20342	251	12	and	and	CCONJ
fcis-20342	251	13	its	its	PRON
fcis-20342	251	14	decline	decline	NOUN
fcis-20342	251	15	is	be	AUX
fcis-20342	251	16	not	not	PART
fcis-20342	251	17	significant	significant	ADJ
fcis-20342	251	18	.	.	PUNCT
fcis-20342	252	1	in	in	ADP
fcis-20342	252	2	the	the	DET
fcis-20342	252	3	training	training	NOUN
fcis-20342	252	4	of	of	ADP
fcis-20342	252	5	caps	cap	NOUN
fcis-20342	252	6	,	,	PUNCT
fcis-20342	252	7	this	this	DET
fcis-20342	252	8	paper	paper	NOUN
fcis-20342	252	9	significantly	significantly	ADV
fcis-20342	252	10	outperforms	outperform	VERB
fcis-20342	252	11	pdanet	pdanet	NOUN
fcis-20342	252	12	in	in	ADP
fcis-20342	252	13	two	two	NUM
fcis-20342	252	14	metrics	metric	NOUN
fcis-20342	252	15	in	in	ADP
fcis-20342	252	16	all	all	DET
fcis-20342	252	17	three	three	NUM
fcis-20342	252	18	dimensions	dimension	NOUN
fcis-20342	252	19	.	.	PUNCT
fcis-20342	253	1	overall	overall	ADV
fcis-20342	253	2	,	,	PUNCT
fcis-20342	253	3	this	this	DET
fcis-20342	253	4	paper	paper	NOUN
fcis-20342	253	5	's	's	PART
fcis-20342	253	6	model	model	NOUN
fcis-20342	253	7	improves	improve	VERB
fcis-20342	253	8	in	in	ADP
fcis-20342	253	9	the	the	DET
fcis-20342	253	10	overall	overall	ADJ
fcis-20342	253	11	performance	performance	NOUN
fcis-20342	253	12	by	by	ADP
fcis-20342	253	13	improving	improve	VERB
fcis-20342	253	14	the	the	DET
fcis-20342	253	15	performance	performance	NOUN
fcis-20342	253	16	in	in	ADP
fcis-20342	253	17	dimension	dimension	NOUN
fcis-20342	253	18	a	a	PRON
fcis-20342	253	19	,	,	PUNCT
fcis-20342	253	20	which	which	PRON
fcis-20342	253	21	proves	prove	VERB
fcis-20342	253	22	the	the	DET
fcis-20342	253	23	effectiveness	effectiveness	NOUN
fcis-20342	253	24	of	of	ADP
fcis-20342	253	25	this	this	DET
fcis-20342	253	26	paper	paper	NOUN
fcis-20342	253	27	's	's	PART
fcis-20342	253	28	improved	improve	VERB
fcis-20342	253	29	method	method	NOUN
fcis-20342	253	30	.	.	PUNCT
fcis-20342	254	1	6.2	6.2	NUM
fcis-20342	254	2	.	.	PUNCT
fcis-20342	254	3	initial	initial	ADJ
fcis-20342	254	4	introduction	introduction	NOUN
fcis-20342	254	5	of	of	ADP
fcis-20342	254	6	caps	cap	NOUN
fcis-20342	254	7	the	the	DET
fcis-20342	254	8	caps	cap	NOUN
fcis-20342	254	9	dataset	dataset	VERB
fcis-20342	254	10	is	be	AUX
fcis-20342	254	11	a	a	DET
fcis-20342	254	12	dataset	dataset	NOUN
fcis-20342	254	13	of	of	ADP
fcis-20342	254	14	image	image	NOUN
fcis-20342	254	15	emotion	emotion	NOUN
fcis-20342	254	16	stimuli	stimulus	NOUN
fcis-20342	254	17	in	in	ADP
fcis-20342	254	18	chinese	chinese	ADJ
fcis-20342	254	19	cultural	cultural	ADJ
fcis-20342	254	20	contexts	contexts	NOUN
fcis-20342	254	21	,	,	PUNCT
fcis-20342	254	22	which	which	PRON
fcis-20342	254	23	has	have	AUX
fcis-20342	254	24	previously	previously	ADV
fcis-20342	254	25	been	be	AUX
fcis-20342	254	26	widely	widely	ADV
fcis-20342	254	27	used	use	VERB
fcis-20342	254	28	in	in	ADP
fcis-20342	254	29	the	the	DET
fcis-20342	254	30	field	field	NOUN
fcis-20342	254	31	of	of	ADP
fcis-20342	254	32	psychology	psychology	NOUN
fcis-20342	254	33	.	.	PUNCT
fcis-20342	255	1	in	in	ADP
fcis-20342	255	2	this	this	DET
fcis-20342	255	3	paper	paper	NOUN
fcis-20342	255	4	,	,	PUNCT
fcis-20342	255	5	we	we	PRON
fcis-20342	255	6	introduce	introduce	VERB
fcis-20342	255	7	this	this	DET
fcis-20342	255	8	dataset	dataset	NOUN
fcis-20342	255	9	into	into	ADP
fcis-20342	255	10	the	the	DET
fcis-20342	255	11	image	image	NOUN
fcis-20342	255	12	sentiment	sentiment	NOUN
fcis-20342	255	13	analysis	analysis	NOUN
fcis-20342	255	14	work	work	NOUN
fcis-20342	255	15	and	and	CCONJ
fcis-20342	255	16	conduct	conduct	VERB
fcis-20342	255	17	a	a	DET
fcis-20342	255	18	series	series	NOUN
fcis-20342	255	19	of	of	ADP
fcis-20342	255	20	tests	test	NOUN
fcis-20342	255	21	on	on	ADP
fcis-20342	255	22	it	it	PRON
fcis-20342	255	23	.	.	PUNCT
fcis-20342	256	1	the	the	DET
fcis-20342	256	2	test	test	NOUN
fcis-20342	256	3	results	result	NOUN
fcis-20342	256	4	show	show	VERB
fcis-20342	256	5	that	that	SCONJ
fcis-20342	256	6	the	the	DET
fcis-20342	256	7	data	datum	NOUN
fcis-20342	256	8	within	within	ADP
fcis-20342	256	9	caps	cap	NOUN
fcis-20342	256	10	are	be	AUX
fcis-20342	256	11	uniformly	uniformly	ADV
fcis-20342	256	12	categorized	categorize	VERB
fcis-20342	256	13	,	,	PUNCT
fcis-20342	256	14	reasonably	reasonably	ADV
fcis-20342	256	15	differentiated	differentiated	ADJ
fcis-20342	256	16	,	,	PUNCT
fcis-20342	256	17	and	and	CCONJ
fcis-20342	256	18	highly	highly	ADV
fcis-20342	256	19	consistent	consistent	ADJ
fcis-20342	256	20	,	,	PUNCT
fcis-20342	256	21	and	and	CCONJ
fcis-20342	256	22	both	both	DET
fcis-20342	256	23	outperform	outperform	ADJ
fcis-20342	256	24	iaps	iap	NOUN
fcis-20342	256	25	and	and	CCONJ
fcis-20342	256	26	naps	nap	NOUN
fcis-20342	256	27	in	in	ADP
fcis-20342	256	28	terms	term	NOUN
fcis-20342	256	29	of	of	ADP
fcis-20342	256	30	model	model	NOUN
fcis-20342	256	31	training	training	NOUN
fcis-20342	256	32	metrics	metric	NOUN
fcis-20342	256	33	.	.	PUNCT
fcis-20342	257	1	as	as	SCONJ
fcis-20342	257	2	seen	see	VERB
fcis-20342	257	3	in	in	ADP
fcis-20342	257	4	the	the	DET
fcis-20342	257	5	paired	pair	VERB
fcis-20342	257	6	-	-	PUNCT
fcis-20342	257	7	sample	sample	NOUN
fcis-20342	257	8	t	t	NOUN
fcis-20342	257	9	-	-	PUNCT
fcis-20342	257	10	test	test	NOUN
fcis-20342	257	11	,	,	PUNCT
fcis-20342	257	12	the	the	DET
fcis-20342	257	13	training	training	NOUN
fcis-20342	257	14	prediction	prediction	NOUN
fcis-20342	257	15	results	result	NOUN
fcis-20342	257	16	of	of	ADP
fcis-20342	257	17	this	this	DET
fcis-20342	257	18	dataset	dataset	NOUN
fcis-20342	257	19	correlate	correlate	VERB
fcis-20342	257	20	well	well	ADV
fcis-20342	257	21	with	with	ADP
fcis-20342	257	22	the	the	DET
fcis-20342	257	23	dataset	dataset	NOUN
fcis-20342	257	24	itself	itself	PRON
fcis-20342	257	25	,	,	PUNCT
fcis-20342	257	26	and	and	CCONJ
fcis-20342	257	27	it	it	PRON
fcis-20342	257	28	performs	perform	VERB
fcis-20342	257	29	excellently	excellently	ADV
fcis-20342	257	30	from	from	ADP
fcis-20342	257	31	a	a	DET
fcis-20342	257	32	psychological	psychological	ADJ
fcis-20342	257	33	point	point	NOUN
fcis-20342	257	34	of	of	ADP
fcis-20342	257	35	view	view	NOUN
fcis-20342	257	36	,	,	PUNCT
fcis-20342	257	37	and	and	CCONJ
fcis-20342	257	38	it	it	PRON
fcis-20342	257	39	can	can	AUX
fcis-20342	257	40	be	be	AUX
fcis-20342	257	41	attempted	attempt	VERB
fcis-20342	257	42	to	to	PART
fcis-20342	257	43	be	be	AUX
fcis-20342	257	44	applied	apply	VERB
fcis-20342	257	45	in	in	ADP
fcis-20342	257	46	psychological	psychological	ADJ
fcis-20342	257	47	research	research	NOUN
fcis-20342	257	48	.	.	PUNCT
fcis-20342	258	1	in	in	ADP
fcis-20342	258	2	addition	addition	NOUN
fcis-20342	258	3	,	,	PUNCT
fcis-20342	258	4	due	due	ADP
fcis-20342	258	5	to	to	ADP
fcis-20342	258	6	the	the	DET
fcis-20342	258	7	unique	unique	ADJ
fcis-20342	258	8	chinese	chinese	ADJ
fcis-20342	258	9	cultural	cultural	ADJ
fcis-20342	258	10	attributes	attribute	NOUN
fcis-20342	258	11	of	of	ADP
fcis-20342	258	12	this	this	DET
fcis-20342	258	13	dataset	dataset	NOUN
fcis-20342	258	14	,	,	PUNCT
fcis-20342	258	15	it	it	PRON
fcis-20342	258	16	is	be	AUX
fcis-20342	258	17	believed	believe	VERB
fcis-20342	258	18	that	that	SCONJ
fcis-20342	258	19	the	the	DET
fcis-20342	258	20	models	model	NOUN
fcis-20342	258	21	trained	train	VERB
fcis-20342	258	22	using	use	VERB
fcis-20342	258	23	it	it	PRON
fcis-20342	258	24	can	can	AUX
fcis-20342	258	25	achieve	achieve	VERB
fcis-20342	258	26	better	well	ADJ
fcis-20342	258	27	practical	practical	ADJ
fcis-20342	258	28	results	result	NOUN
fcis-20342	258	29	in	in	ADP
fcis-20342	258	30	chinese	chinese	ADJ
fcis-20342	258	31	cultural	cultural	ADJ
fcis-20342	258	32	applications	application	NOUN
fcis-20342	258	33	.	.	PUNCT
fcis-20342	259	1	acknowledgments	acknowledgment	NOUN
fcis-20342	259	2	thanks	thank	NOUN
fcis-20342	259	3	to	to	ADP
fcis-20342	259	4	the	the	DET
fcis-20342	259	5	research	research	NOUN
fcis-20342	259	6	group	group	NOUN
fcis-20342	259	7	that	that	PRON
fcis-20342	259	8	produced	produce	VERB
fcis-20342	259	9	iaps	iap	NOUN
fcis-20342	259	10	,	,	PUNCT
fcis-20342	259	11	naps	nap	NOUN
fcis-20342	259	12	and	and	CCONJ
fcis-20342	259	13	caps	cap	NOUN
fcis-20342	259	14	,	,	PUNCT
fcis-20342	259	15	and	and	CCONJ
fcis-20342	259	16	the	the	DET
fcis-20342	259	17	team	team	NOUN
fcis-20342	259	18	of	of	ADP
fcis-20342	259	19	pdanet	pdanet	PROPN
fcis-20342	259	20	.	.	PUNCT
fcis-20342	260	1	this	this	DET
fcis-20342	260	2	research	research	NOUN
fcis-20342	260	3	did	do	AUX
fcis-20342	260	4	not	not	PART
fcis-20342	260	5	receive	receive	VERB
fcis-20342	260	6	any	any	DET
fcis-20342	260	7	specific	specific	ADJ
fcis-20342	260	8	grant	grant	NOUN
fcis-20342	260	9	from	from	ADP
fcis-20342	260	10	funding	fund	VERB
fcis-20342	260	11	agencies	agency	NOUN
fcis-20342	260	12	in	in	ADP
fcis-20342	260	13	the	the	DET
fcis-20342	260	14	public	public	ADJ
fcis-20342	260	15	,	,	PUNCT
fcis-20342	260	16	commercial	commercial	ADJ
fcis-20342	260	17	,	,	PUNCT
fcis-20342	260	18	or	or	CCONJ
fcis-20342	260	19	not	not	PART
fcis-20342	260	20	-	-	PUNCT
fcis-20342	260	21	for	for	ADP
fcis-20342	260	22	-	-	PUNCT
fcis-20342	260	23	profit	profit	NOUN
fcis-20342	260	24	sectors	sector	NOUN
fcis-20342	260	25	.	.	PUNCT
fcis-20342	261	1	references	reference	NOUN
fcis-20342	261	2	[	[	X
fcis-20342	261	3	1	1	X
fcis-20342	261	4	]	]	PUNCT
fcis-20342	261	5	j.	j.	PROPN
fcis-20342	261	6	tooby	tooby	PROPN
fcis-20342	261	7	and	and	CCONJ
fcis-20342	261	8	l.	l.	PROPN
fcis-20342	261	9	cosmides	cosmides	PROPN
fcis-20342	261	10	,	,	PUNCT
fcis-20342	261	11	"	"	PUNCT
fcis-20342	261	12	the	the	DET
fcis-20342	261	13	evolutionary	evolutionary	ADJ
fcis-20342	261	14	psychology	psychology	NOUN
fcis-20342	261	15	of	of	ADP
fcis-20342	261	16	the	the	DET
fcis-20342	261	17	emotions	emotion	NOUN
fcis-20342	261	18	and	and	CCONJ
fcis-20342	261	19	their	their	PRON
fcis-20342	261	20	relationship	relationship	NOUN
fcis-20342	261	21	to	to	ADP
fcis-20342	261	22	internal	internal	ADJ
fcis-20342	261	23	regulatory	regulatory	ADJ
fcis-20342	261	24	variables	variable	NOUN
fcis-20342	261	25	,	,	PUNCT
fcis-20342	261	26	"	"	PUNCT
fcis-20342	261	27	in	in	ADP
fcis-20342	261	28	handbook	handbook	NOUN
fcis-20342	261	29	of	of	ADP
fcis-20342	261	30	emotions	emotion	NOUN
fcis-20342	261	31	,	,	PUNCT
fcis-20342	261	32	m.	m.	PROPN
fcis-20342	261	33	lewis	lewis	PROPN
fcis-20342	261	34	,	,	PUNCT
fcis-20342	261	35	j.	j.	PROPN
fcis-20342	261	36	m.	m.	PROPN
fcis-20342	261	37	haviland	haviland	PROPN
fcis-20342	261	38	-	-	PUNCT
fcis-20342	261	39	jones	jones	PROPN
fcis-20342	261	40	,	,	PUNCT
fcis-20342	261	41	and	and	CCONJ
fcis-20342	261	42	l.	l.	PROPN
fcis-20342	261	43	f.	f.	PROPN
fcis-20342	261	44	barrett	barrett	PROPN
fcis-20342	261	45	,	,	PUNCT
fcis-20342	261	46	eds	eds	PROPN
fcis-20342	261	47	.	.	PROPN
fcis-20342	261	48	,	,	PUNCT
fcis-20342	261	49	3rd	3rd	ADJ
fcis-20342	261	50	ed	ed	NOUN
fcis-20342	261	51	.	.	PUNCT
fcis-20342	262	1	new	new	PROPN
fcis-20342	262	2	york	york	PROPN
fcis-20342	262	3	:	:	PUNCT
fcis-20342	262	4	the	the	DET
fcis-20342	262	5	guilford	guilford	PROPN
fcis-20342	262	6	press	press	PROPN
fcis-20342	262	7	,	,	PUNCT
fcis-20342	262	8	2008	2008	NUM
fcis-20342	262	9	,	,	PUNCT
fcis-20342	262	10	pp	pp	ADJ
fcis-20342	262	11	.	.	PUNCT
fcis-20342	263	1	114–137	114–137	NUM
fcis-20342	263	2	.	.	PUNCT
fcis-20342	264	1	[	[	X
fcis-20342	264	2	2	2	X
fcis-20342	264	3	]	]	PUNCT
fcis-20342	264	4	j.	j.	PROPN
fcis-20342	264	5	a.	a.	PROPN
fcis-20342	264	6	russell	russell	PROPN
fcis-20342	264	7	,	,	PUNCT
fcis-20342	264	8	"	"	PUNCT
fcis-20342	264	9	emotion	emotion	NOUN
fcis-20342	264	10	,	,	PUNCT
fcis-20342	264	11	core	core	NOUN
fcis-20342	264	12	affect	affect	NOUN
fcis-20342	264	13	,	,	PUNCT
fcis-20342	264	14	and	and	CCONJ
fcis-20342	264	15	psychological	psychological	ADJ
fcis-20342	264	16	construction	construction	NOUN
fcis-20342	264	17	,	,	PUNCT
fcis-20342	264	18	"	"	PUNCT
fcis-20342	264	19	cognition	cognition	NOUN
fcis-20342	264	20	and	and	CCONJ
fcis-20342	264	21	emotion	emotion	NOUN
fcis-20342	264	22	,	,	PUNCT
fcis-20342	264	23	vol	vol	NOUN
fcis-20342	264	24	.	.	PROPN
fcis-20342	264	25	23	23	NUM
fcis-20342	264	26	,	,	PUNCT
fcis-20342	264	27	no	no	INTJ
fcis-20342	264	28	.	.	NOUN
fcis-20342	264	29	7	7	NUM
fcis-20342	264	30	,	,	PUNCT
fcis-20342	264	31	pp	pp	ADJ
fcis-20342	264	32	.	.	PUNCT
fcis-20342	265	1	1259	1259	NUM
fcis-20342	265	2	–	–	PUNCT
fcis-20342	265	3	1283	1283	NUM
fcis-20342	265	4	,	,	PUNCT
fcis-20342	265	5	2009	2009	NUM
fcis-20342	265	6	,	,	PUNCT
fcis-20342	265	7	doi	doi	NOUN
fcis-20342	265	8	:	:	PUNCT
fcis-20342	265	9	10.1080/02699930902809375	10.1080/02699930902809375	NUM
fcis-20342	265	10	.	.	PUNCT
fcis-20342	266	1	[	[	X
fcis-20342	266	2	3	3	X
fcis-20342	266	3	]	]	PUNCT
fcis-20342	266	4	s.	s.	PROPN
fcis-20342	266	5	zhao	zhao	PROPN
fcis-20342	266	6	et	et	PROPN
fcis-20342	266	7	al	al	PROPN
fcis-20342	266	8	.	.	PROPN
fcis-20342	266	9	,	,	PUNCT
fcis-20342	266	10	"	"	PUNCT
fcis-20342	266	11	personalized	personalize	VERB
fcis-20342	266	12	emotion	emotion	NOUN
fcis-20342	266	13	recognition	recognition	NOUN
fcis-20342	266	14	by	by	ADP
fcis-20342	266	15	personality	personality	NOUN
fcis-20342	266	16	-	-	PUNCT
fcis-20342	266	17	aware	aware	ADJ
fcis-20342	266	18	high	high	ADJ
fcis-20342	266	19	-	-	PUNCT
fcis-20342	266	20	order	order	NOUN
fcis-20342	266	21	learning	learning	NOUN
fcis-20342	266	22	of	of	ADP
fcis-20342	266	23	physiological	physiological	ADJ
fcis-20342	266	24	signals	signal	NOUN
fcis-20342	266	25	,	,	PUNCT
fcis-20342	266	26	"	"	PUNCT
fcis-20342	266	27	acm	acm	PROPN
fcis-20342	266	28	tomm	tomm	PROPN
fcis-20342	266	29	,	,	PUNCT
fcis-20342	266	30	vol	vol	NOUN
fcis-20342	266	31	.	.	PROPN
fcis-20342	266	32	15	15	NUM
fcis-20342	266	33	,	,	PUNCT
fcis-20342	266	34	no	no	INTJ
fcis-20342	266	35	.	.	NOUN
fcis-20342	266	36	1s	1s	NUM
fcis-20342	266	37	,	,	PUNCT
fcis-20342	266	38	art	art	NOUN
fcis-20342	266	39	.	.	PUNCT
fcis-20342	267	1	no	no	INTJ
fcis-20342	267	2	.	.	NOUN
fcis-20342	268	1	14	14	NUM
fcis-20342	268	2	,	,	PUNCT
fcis-20342	268	3	2019	2019	NUM
fcis-20342	268	4	.	.	PUNCT
fcis-20342	269	1	[	[	X
fcis-20342	269	2	4	4	X
fcis-20342	269	3	]	]	PUNCT
fcis-20342	269	4	s.	s.	PROPN
fcis-20342	269	5	zhao	zhao	PROPN
fcis-20342	269	6	,	,	PUNCT
fcis-20342	269	7	g.	g.	PROPN
fcis-20342	269	8	ding	ding	PROPN
fcis-20342	269	9	,	,	PUNCT
fcis-20342	269	10	j.	j.	PROPN
fcis-20342	269	11	han	han	PROPN
fcis-20342	269	12	,	,	PUNCT
fcis-20342	269	13	et	et	PROPN
fcis-20342	269	14	al	al	PROPN
fcis-20342	269	15	.	.	PROPN
fcis-20342	269	16	,	,	PUNCT
fcis-20342	269	17	"	"	PUNCT
fcis-20342	269	18	personality	personality	NOUN
fcis-20342	269	19	-	-	PUNCT
fcis-20342	269	20	aware	aware	ADJ
fcis-20342	269	21	personalized	personalized	ADJ
fcis-20342	269	22	emotion	emotion	NOUN
fcis-20342	269	23	recognition	recognition	NOUN
fcis-20342	269	24	from	from	ADP
fcis-20342	269	25	physiological	physiological	ADJ
fcis-20342	269	26	signals	signal	NOUN
fcis-20342	269	27	,	,	PUNCT
fcis-20342	269	28	"	"	PUNCT
fcis-20342	269	29	in	in	ADP
fcis-20342	269	30	proc	proc	NOUN
fcis-20342	269	31	.	.	PUNCT
fcis-20342	270	1	ijcai	ijcai	PROPN
fcis-20342	270	2	,	,	PUNCT
fcis-20342	270	3	2018	2018	NUM
fcis-20342	270	4	,	,	PUNCT
fcis-20342	270	5	pp	pp	ADJ
fcis-20342	270	6	.	.	PUNCT
fcis-20342	271	1	1660–1667	1660–1667	NUM
fcis-20342	271	2	.	.	PUNCT
fcis-20342	272	1	[	[	X
fcis-20342	272	2	5	5	NUM
fcis-20342	272	3	]	]	PUNCT
fcis-20342	272	4	p.	p.	PROPN
fcis-20342	272	5	ekman	ekman	PROPN
fcis-20342	272	6	,	,	PUNCT
fcis-20342	272	7	"	"	PUNCT
fcis-20342	272	8	an	an	DET
fcis-20342	272	9	argument	argument	NOUN
fcis-20342	272	10	for	for	ADP
fcis-20342	272	11	basic	basic	ADJ
fcis-20342	272	12	emotions	emotion	NOUN
fcis-20342	272	13	,	,	PUNCT
fcis-20342	272	14	"	"	PUNCT
fcis-20342	272	15	cognition	cognition	NOUN
fcis-20342	272	16	&	&	CCONJ
fcis-20342	272	17	emotion	emotion	NOUN
fcis-20342	272	18	,	,	PUNCT
fcis-20342	272	19	vol	vol	NOUN
fcis-20342	272	20	.	.	PROPN
fcis-20342	272	21	6	6	NUM
fcis-20342	272	22	,	,	PUNCT
fcis-20342	272	23	no	no	INTJ
fcis-20342	272	24	.	.	NOUN
fcis-20342	272	25	3	3	NUM
fcis-20342	272	26	-	-	SYM
fcis-20342	272	27	4	4	NUM
fcis-20342	272	28	,	,	PUNCT
fcis-20342	272	29	pp	pp	ADJ
fcis-20342	272	30	.	.	PUNCT
fcis-20342	273	1	169	169	NUM
fcis-20342	273	2	-	-	SYM
fcis-20342	273	3	200	200	NUM
fcis-20342	273	4	,	,	PUNCT
fcis-20342	273	5	1992	1992	NUM
fcis-20342	273	6	.	.	PUNCT
fcis-20342	274	1	[	[	X
fcis-20342	274	2	6	6	NUM
fcis-20342	274	3	]	]	PUNCT
fcis-20342	274	4	j.	j.	PROPN
fcis-20342	274	5	a.	a.	PROPN
fcis-20342	274	6	mikels	mikels	PROPN
fcis-20342	274	7	,	,	PUNCT
fcis-20342	274	8	b.	b.	PROPN
fcis-20342	274	9	l.	l.	PROPN
fcis-20342	274	10	fredrickson	fredrickson	PROPN
fcis-20342	274	11	,	,	PUNCT
fcis-20342	274	12	g.	g.	PROPN
fcis-20342	274	13	r.	r.	PROPN
fcis-20342	274	14	larkin	larkin	PROPN
fcis-20342	274	15	,	,	PUNCT
fcis-20342	274	16	et	et	PROPN
fcis-20342	274	17	al	al	PROPN
fcis-20342	274	18	.	.	PROPN
fcis-20342	274	19	,	,	PUNCT
fcis-20342	274	20	"	"	PUNCT
fcis-20342	274	21	emotional	emotional	ADJ
fcis-20342	274	22	category	category	NOUN
fcis-20342	274	23	data	datum	NOUN
fcis-20342	274	24	on	on	ADP
fcis-20342	274	25	images	image	NOUN
fcis-20342	274	26	from	from	ADP
fcis-20342	274	27	the	the	DET
fcis-20342	274	28	international	international	ADJ
fcis-20342	274	29	affective	affective	ADJ
fcis-20342	274	30	picture	picture	NOUN
fcis-20342	274	31	system	system	NOUN
fcis-20342	274	32	,	,	PUNCT
fcis-20342	274	33	"	"	PUNCT
fcis-20342	274	34	brm	brm	NOUN
fcis-20342	274	35	,	,	PUNCT
fcis-20342	274	36	vol	vol	NOUN
fcis-20342	274	37	.	.	PROPN
fcis-20342	275	1	37	37	NUM
fcis-20342	275	2	,	,	PUNCT
fcis-20342	275	3	no	no	INTJ
fcis-20342	275	4	.	.	NOUN
fcis-20342	275	5	4	4	NUM
fcis-20342	275	6	,	,	PUNCT
fcis-20342	275	7	pp	pp	ADJ
fcis-20342	275	8	.	.	PUNCT
fcis-20342	276	1	626–630	626–630	NUM
fcis-20342	276	2	,	,	PUNCT
fcis-20342	276	3	2005	2005	NUM
fcis-20342	276	4	.	.	PUNCT
fcis-20342	277	1	34	34	NUM
fcis-20342	278	1	[	[	X
fcis-20342	278	2	7	7	NUM
fcis-20342	278	3	]	]	X
fcis-20342	278	4	r.	r.	NOUN
fcis-20342	278	5	plutchik	plutchik	NOUN
fcis-20342	278	6	,	,	PUNCT
fcis-20342	278	7	emotion	emotion	NOUN
fcis-20342	278	8	:	:	PUNCT
fcis-20342	278	9	a	a	DET
fcis-20342	278	10	psychoevolutionary	psychoevolutionary	ADJ
fcis-20342	278	11	synthesis	synthesis	NOUN
fcis-20342	278	12	.	.	PUNCT
fcis-20342	279	1	harpercollins	harpercollins	PROPN
fcis-20342	279	2	college	college	PROPN
fcis-20342	279	3	division	division	NOUN
fcis-20342	279	4	,	,	PUNCT
fcis-20342	279	5	1980	1980	NUM
fcis-20342	279	6	.	.	PUNCT
fcis-20342	280	1	[	[	X
fcis-20342	280	2	8	8	NUM
fcis-20342	280	3	]	]	X
fcis-20342	280	4	w.	w.	PROPN
fcis-20342	280	5	g.	g.	PROPN
fcis-20342	280	6	parrott	parrott	PROPN
fcis-20342	280	7	,	,	PUNCT
fcis-20342	280	8	emotions	emotion	NOUN
fcis-20342	280	9	in	in	ADP
fcis-20342	280	10	social	social	ADJ
fcis-20342	280	11	psychology	psychology	NOUN
fcis-20342	280	12	:	:	PUNCT
fcis-20342	280	13	essential	essential	ADJ
fcis-20342	280	14	readings	reading	NOUN
fcis-20342	280	15	.	.	PUNCT
fcis-20342	281	1	psychology	psychology	NOUN
fcis-20342	281	2	press	press	NOUN
fcis-20342	281	3	,	,	PUNCT
fcis-20342	281	4	2001	2001	NUM
fcis-20342	281	5	.	.	PUNCT
fcis-20342	282	1	[	[	X
fcis-20342	282	2	9	9	NUM
fcis-20342	282	3	]	]	X
fcis-20342	282	4	h.	h.	PROPN
fcis-20342	282	5	schlosberg	schlosberg	PROPN
fcis-20342	282	6	,	,	PUNCT
fcis-20342	282	7	"	"	PUNCT
fcis-20342	282	8	three	three	NUM
fcis-20342	282	9	dimensions	dimension	NOUN
fcis-20342	282	10	of	of	ADP
fcis-20342	282	11	emotion	emotion	NOUN
fcis-20342	282	12	,	,	PUNCT
fcis-20342	282	13	"	"	PUNCT
fcis-20342	282	14	psychological	psychological	ADJ
fcis-20342	282	15	review	review	NOUN
fcis-20342	282	16	,	,	PUNCT
fcis-20342	282	17	vol	vol	NOUN
fcis-20342	282	18	.	.	PROPN
fcis-20342	282	19	61	61	NUM
fcis-20342	282	20	,	,	PUNCT
fcis-20342	282	21	no	no	INTJ
fcis-20342	282	22	.	.	NOUN
fcis-20342	282	23	2	2	NUM
fcis-20342	282	24	,	,	PUNCT
fcis-20342	282	25	p.	p.	NOUN
fcis-20342	282	26	81	81	NUM
fcis-20342	282	27	,	,	PUNCT
fcis-20342	282	28	1954	1954	NUM
fcis-20342	282	29	.	.	PUNCT
fcis-20342	283	1	[	[	X
fcis-20342	283	2	10	10	NUM
fcis-20342	283	3	]	]	X
fcis-20342	283	4	j.	j.	PROPN
fcis-20342	283	5	lee	lee	PROPN
fcis-20342	283	6	and	and	CCONJ
fcis-20342	283	7	e.	e.	PROPN
fcis-20342	283	8	park	park	PROPN
fcis-20342	283	9	,	,	PUNCT
fcis-20342	283	10	"	"	PUNCT
fcis-20342	283	11	fuzzy	fuzzy	ADJ
fcis-20342	283	12	similarity	similarity	NOUN
fcis-20342	283	13	-	-	PUNCT
fcis-20342	283	14	based	base	VERB
fcis-20342	283	15	emotional	emotional	ADJ
fcis-20342	283	16	classification	classification	NOUN
fcis-20342	283	17	of	of	ADP
fcis-20342	283	18	color	color	NOUN
fcis-20342	283	19	images	image	NOUN
fcis-20342	283	20	,	,	PUNCT
fcis-20342	283	21	"	"	PUNCT
fcis-20342	283	22	ieee	ieee	NOUN
fcis-20342	283	23	tmm	tmm	PROPN
fcis-20342	283	24	,	,	PUNCT
fcis-20342	283	25	vol	vol	NOUN
fcis-20342	283	26	.	.	PROPN
fcis-20342	283	27	13	13	NUM
fcis-20342	283	28	,	,	PUNCT
fcis-20342	283	29	no	no	INTJ
fcis-20342	283	30	.	.	NOUN
fcis-20342	283	31	5	5	NUM
fcis-20342	283	32	,	,	PUNCT
fcis-20342	283	33	pp	pp	ADJ
fcis-20342	283	34	.	.	PUNCT
fcis-20342	284	1	1031–1039	1031–1039	NUM
fcis-20342	284	2	,	,	PUNCT
fcis-20342	284	3	2011	2011	NUM
fcis-20342	284	4	.	.	PUNCT
fcis-20342	285	1	[	[	X
fcis-20342	285	2	11	11	NUM
fcis-20342	285	3	]	]	X
fcis-20342	285	4	h.	h.	PROPN
fcis-20342	285	5	gunes	gunes	PROPN
fcis-20342	285	6	and	and	CCONJ
fcis-20342	285	7	b.	b.	PROPN
fcis-20342	285	8	schuller	schuller	PROPN
fcis-20342	285	9	,	,	PUNCT
fcis-20342	285	10	"	"	PUNCT
fcis-20342	285	11	categorical	categorical	ADJ
fcis-20342	285	12	and	and	CCONJ
fcis-20342	285	13	dimensional	dimensional	ADJ
fcis-20342	285	14	affect	affect	VERB
fcis-20342	285	15	analysis	analysis	NOUN
fcis-20342	285	16	in	in	ADP
fcis-20342	285	17	continuous	continuous	ADJ
fcis-20342	285	18	input	input	NOUN
fcis-20342	285	19	:	:	PUNCT
fcis-20342	285	20	current	current	ADJ
fcis-20342	285	21	trends	trend	NOUN
fcis-20342	285	22	and	and	CCONJ
fcis-20342	285	23	future	future	ADJ
fcis-20342	285	24	directions	direction	NOUN
fcis-20342	285	25	,	,	PUNCT
fcis-20342	285	26	"	"	PUNCT
fcis-20342	285	27	ivc	ivc	PROPN
fcis-20342	285	28	,	,	PUNCT
fcis-20342	285	29	vol	vol	NOUN
fcis-20342	285	30	.	.	PROPN
fcis-20342	285	31	31	31	NUM
fcis-20342	285	32	,	,	PUNCT
fcis-20342	285	33	no	no	INTJ
fcis-20342	285	34	.	.	NOUN
fcis-20342	285	35	2	2	NUM
fcis-20342	285	36	,	,	PUNCT
fcis-20342	285	37	pp	pp	ADJ
fcis-20342	285	38	.	.	PUNCT
fcis-20342	286	1	120–136	120–136	NUM
fcis-20342	286	2	,	,	PUNCT
fcis-20342	286	3	2013	2013	NUM
fcis-20342	286	4	.	.	PUNCT
fcis-20342	287	1	[	[	X
fcis-20342	287	2	12	12	NUM
fcis-20342	287	3	]	]	PUNCT
fcis-20342	287	4	k.	k.	PROPN
fcis-20342	287	5	sun	sun	PROPN
fcis-20342	287	6	,	,	PUNCT
fcis-20342	287	7	j.	j.	PROPN
fcis-20342	287	8	yu	yu	PROPN
fcis-20342	287	9	,	,	PUNCT
fcis-20342	287	10	y.	y.	PROPN
fcis-20342	287	11	huang	huang	PROPN
fcis-20342	287	12	,	,	PUNCT
fcis-20342	287	13	et	et	PROPN
fcis-20342	287	14	al	al	PROPN
fcis-20342	287	15	.	.	PROPN
fcis-20342	287	16	,	,	PUNCT
fcis-20342	287	17	"	"	PUNCT
fcis-20342	287	18	an	an	DET
fcis-20342	287	19	improved	improved	ADJ
fcis-20342	287	20	valence	valence	NOUN
fcis-20342	287	21	-	-	PUNCT
fcis-20342	287	22	arousal	arousal	NOUN
fcis-20342	287	23	emotion	emotion	NOUN
fcis-20342	287	24	space	space	NOUN
fcis-20342	287	25	for	for	ADP
fcis-20342	287	26	video	video	NOUN
fcis-20342	287	27	affective	affective	NOUN
fcis-20342	287	28	content	content	NOUN
fcis-20342	287	29	representation	representation	NOUN
fcis-20342	287	30	and	and	CCONJ
fcis-20342	287	31	recognition	recognition	NOUN
fcis-20342	287	32	,	,	PUNCT
fcis-20342	287	33	"	"	PUNCT
fcis-20342	287	34	in	in	ADP
fcis-20342	287	35	proc	proc	NOUN
fcis-20342	287	36	.	.	PUNCT
fcis-20342	288	1	icme	icme	PROPN
fcis-20342	288	2	,	,	PUNCT
fcis-20342	288	3	2009	2009	NUM
fcis-20342	288	4	,	,	PUNCT
fcis-20342	288	5	pp	pp	ADV
fcis-20342	288	6	.	.	PUNCT
fcis-20342	289	1	566	566	NUM
fcis-20342	289	2	-	-	SYM
fcis-20342	289	3	569	569	NUM
fcis-20342	289	4	.	.	PUNCT
fcis-20342	290	1	[	[	X
fcis-20342	290	2	13	13	NUM
fcis-20342	290	3	]	]	PUNCT
fcis-20342	290	4	s.	s.	PROPN
fcis-20342	290	5	m.	m.	PROPN
fcis-20342	290	6	alarcão	alarcão	PROPN
fcis-20342	290	7	and	and	CCONJ
fcis-20342	290	8	m.	m.	PROPN
fcis-20342	290	9	j.	j.	PROPN
fcis-20342	290	10	fonseca	fonseca	PROPN
fcis-20342	290	11	,	,	PUNCT
fcis-20342	290	12	"	"	PUNCT
fcis-20342	290	13	identifying	identify	VERB
fcis-20342	290	14	emotions	emotion	NOUN
fcis-20342	290	15	in	in	ADP
fcis-20342	290	16	images	image	NOUN
fcis-20342	290	17	from	from	ADP
fcis-20342	290	18	valence	valence	NOUN
fcis-20342	290	19	and	and	CCONJ
fcis-20342	290	20	arousal	arousal	NOUN
fcis-20342	290	21	ratings	rating	NOUN
fcis-20342	290	22	,	,	PUNCT
fcis-20342	290	23	"	"	PUNCT
fcis-20342	290	24	mta	mta	PROPN
fcis-20342	290	25	,	,	PUNCT
fcis-20342	290	26	vol	vol	NOUN
fcis-20342	290	27	.	.	PROPN
fcis-20342	291	1	77	77	NUM
fcis-20342	291	2	,	,	PUNCT
fcis-20342	291	3	no	no	INTJ
fcis-20342	291	4	.	.	NOUN
fcis-20342	291	5	13	13	NUM
fcis-20342	291	6	,	,	PUNCT
fcis-20342	291	7	pp	pp	ADJ
fcis-20342	291	8	.	.	PUNCT
fcis-20342	292	1	17413–17435	17413–17435	NUM
fcis-20342	292	2	,	,	PUNCT
fcis-20342	292	3	2018	2018	NUM
fcis-20342	292	4	.	.	PUNCT
fcis-20342	293	1	[	[	X
fcis-20342	293	2	14	14	NUM
fcis-20342	293	3	]	]	X
fcis-20342	293	4	r.	r.	PROPN
fcis-20342	293	5	markham	markham	PROPN
fcis-20342	293	6	and	and	CCONJ
fcis-20342	293	7	l.	l.	PROPN
fcis-20342	293	8	wang	wang	PROPN
fcis-20342	293	9	,	,	PUNCT
fcis-20342	293	10	"	"	PUNCT
fcis-20342	293	11	recognition	recognition	NOUN
fcis-20342	293	12	of	of	ADP
fcis-20342	293	13	emotion	emotion	NOUN
fcis-20342	293	14	by	by	ADP
fcis-20342	293	15	chinese	chinese	ADJ
fcis-20342	293	16	and	and	CCONJ
fcis-20342	293	17	australian	australian	ADJ
fcis-20342	293	18	children	child	NOUN
fcis-20342	293	19	,	,	PUNCT
fcis-20342	293	20	"	"	PUNCT
fcis-20342	293	21	journal	journal	NOUN
fcis-20342	293	22	of	of	ADP
fcis-20342	293	23	cross	cross	ADJ
fcis-20342	293	24	-	-	ADJ
fcis-20342	293	25	cultural	cultural	ADJ
fcis-20342	293	26	psychology	psychology	NOUN
fcis-20342	293	27	,	,	PUNCT
fcis-20342	293	28	vol	vol	NOUN
fcis-20342	293	29	.	.	PROPN
fcis-20342	293	30	27	27	NUM
fcis-20342	293	31	,	,	PUNCT
fcis-20342	293	32	no	no	INTJ
fcis-20342	293	33	.	.	NOUN
fcis-20342	293	34	5	5	NUM
fcis-20342	293	35	,	,	PUNCT
fcis-20342	293	36	pp	pp	ADJ
fcis-20342	293	37	.	.	PUNCT
fcis-20342	293	38	616	616	NUM
fcis-20342	293	39	-	-	SYM
fcis-20342	293	40	643	643	NUM
fcis-20342	293	41	,	,	PUNCT
fcis-20342	293	42	1996	1996	NUM
fcis-20342	293	43	.	.	PUNCT
fcis-20342	294	1	[	[	X
fcis-20342	294	2	15	15	NUM
fcis-20342	294	3	]	]	X
fcis-20342	294	4	yuxia	yuxia	PROPN
fcis-20342	294	5	huang	huang	PROPN
fcis-20342	294	6	,	,	PUNCT
fcis-20342	294	7	yuejia	yuejia	PROPN
fcis-20342	294	8	luo	luo	PROPN
fcis-20342	294	9	,	,	PUNCT
fcis-20342	294	10	"	"	PUNCT
fcis-20342	294	11	a	a	DET
fcis-20342	294	12	pilot	pilot	NOUN
fcis-20342	294	13	study	study	NOUN
fcis-20342	294	14	of	of	ADP
fcis-20342	294	15	the	the	DET
fcis-20342	294	16	international	international	ADJ
fcis-20342	294	17	affective	affective	ADJ
fcis-20342	294	18	picture	picture	NOUN
fcis-20342	294	19	system	system	NOUN
fcis-20342	294	20	in	in	ADP
fcis-20342	294	21	china	china	PROPN
fcis-20342	294	22	,	,	PUNCT
fcis-20342	294	23	"	"	PUNCT
fcis-20342	294	24	chinese	chinese	ADJ
fcis-20342	294	25	journal	journal	NOUN
fcis-20342	294	26	of	of	ADP
fcis-20342	294	27	mental	mental	ADJ
fcis-20342	294	28	health	health	NOUN
fcis-20342	294	29	,	,	PUNCT
fcis-20342	294	30	vol	vol	NOUN
fcis-20342	294	31	.	.	PROPN
fcis-20342	294	32	18	18	NUM
fcis-20342	294	33	,	,	PUNCT
fcis-20342	294	34	no	no	INTJ
fcis-20342	294	35	.	.	NOUN
fcis-20342	294	36	9	9	NUM
fcis-20342	294	37	,	,	PUNCT
fcis-20342	294	38	pp	pp	ADJ
fcis-20342	294	39	.	.	PUNCT
fcis-20342	295	1	631	631	NUM
fcis-20342	295	2	-	-	SYM
fcis-20342	295	3	635	635	NUM
fcis-20342	295	4	,	,	PUNCT
fcis-20342	295	5	2004	2004	NUM
fcis-20342	295	6	.	.	PUNCT
fcis-20342	296	1	[	[	X
fcis-20342	296	2	16	16	NUM
fcis-20342	296	3	]	]	X
fcis-20342	296	4	y.	y.	NOUN
fcis-20342	296	5	moriguchi	moriguchi	PROPN
fcis-20342	296	6	,	,	PUNCT
fcis-20342	296	7	t.	t.	PROPN
fcis-20342	296	8	ohnishi	ohnishi	PROPN
fcis-20342	296	9	,	,	PUNCT
fcis-20342	296	10	t.	t.	PROPN
fcis-20342	296	11	kawachi	kawachi	PROPN
fcis-20342	296	12	,	,	PUNCT
fcis-20342	296	13	et	et	PROPN
fcis-20342	296	14	al	al	PROPN
fcis-20342	296	15	.	.	PROPN
fcis-20342	296	16	,	,	PUNCT
fcis-20342	296	17	"	"	PUNCT
fcis-20342	296	18	specific	specific	ADJ
fcis-20342	296	19	brain	brain	NOUN
fcis-20342	296	20	activation	activation	NOUN
fcis-20342	296	21	in	in	ADP
fcis-20342	296	22	japanese	japanese	ADJ
fcis-20342	296	23	and	and	CCONJ
fcis-20342	296	24	caucasian	caucasian	ADJ
fcis-20342	296	25	people	people	NOUN
fcis-20342	296	26	to	to	ADP
fcis-20342	296	27	fearful	fearful	ADJ
fcis-20342	296	28	faces	face	NOUN
fcis-20342	296	29	,	,	PUNCT
fcis-20342	296	30	"	"	PUNCT
fcis-20342	296	31	neuroreport	neuroreport	NOUN
fcis-20342	296	32	,	,	PUNCT
fcis-20342	296	33	vol	vol	NOUN
fcis-20342	296	34	.	.	PROPN
fcis-20342	296	35	16	16	NUM
fcis-20342	296	36	,	,	PUNCT
fcis-20342	296	37	no	no	INTJ
fcis-20342	296	38	.	.	NOUN
fcis-20342	296	39	2	2	NUM
fcis-20342	296	40	,	,	PUNCT
fcis-20342	296	41	pp	pp	ADJ
fcis-20342	296	42	.	.	PUNCT
fcis-20342	297	1	133	133	NUM
fcis-20342	297	2	-	-	SYM
fcis-20342	297	3	136	136	NUM
fcis-20342	297	4	,	,	PUNCT
fcis-20342	297	5	2005	2005	NUM
fcis-20342	297	6	.	.	PUNCT
fcis-20342	298	1	[	[	X
fcis-20342	298	2	17	17	NUM
fcis-20342	298	3	]	]	X
fcis-20342	298	4	p.	p.	NOUN
fcis-20342	298	5	hot	hot	PROPN
fcis-20342	298	6	,	,	PUNCT
fcis-20342	298	7	y.	y.	PROPN
fcis-20342	298	8	saito	saito	PROPN
fcis-20342	298	9	,	,	PUNCT
fcis-20342	298	10	o.	o.	PROPN
fcis-20342	298	11	mandai	mandai	PROPN
fcis-20342	298	12	,	,	PUNCT
fcis-20342	298	13	et	et	PROPN
fcis-20342	298	14	al	al	PROPN
fcis-20342	298	15	.	.	PROPN
fcis-20342	298	16	,	,	PUNCT
fcis-20342	298	17	"	"	PUNCT
fcis-20342	298	18	an	an	DET
fcis-20342	298	19	erp	erp	NOUN
fcis-20342	298	20	investigation	investigation	NOUN
fcis-20342	298	21	of	of	ADP
fcis-20342	298	22	emotional	emotional	ADJ
fcis-20342	298	23	processing	processing	NOUN
fcis-20342	298	24	in	in	ADP
fcis-20342	298	25	european	european	ADJ
fcis-20342	298	26	and	and	CCONJ
fcis-20342	298	27	japanese	japanese	ADJ
fcis-20342	298	28	individuals	individual	NOUN
fcis-20342	298	29	,	,	PUNCT
fcis-20342	298	30	"	"	PUNCT
fcis-20342	298	31	brain	brain	NOUN
fcis-20342	298	32	research	research	NOUN
fcis-20342	298	33	,	,	PUNCT
fcis-20342	298	34	vol	vol	NOUN
fcis-20342	298	35	.	.	PROPN
fcis-20342	298	36	1122	1122	NUM
fcis-20342	298	37	,	,	PUNCT
fcis-20342	298	38	no	no	INTJ
fcis-20342	298	39	.	.	NOUN
fcis-20342	298	40	1	1	NUM
fcis-20342	298	41	,	,	PUNCT
fcis-20342	298	42	pp	pp	ADJ
fcis-20342	298	43	.	.	PUNCT
fcis-20342	299	1	171	171	NUM
fcis-20342	299	2	-	-	SYM
fcis-20342	299	3	178	178	NUM
fcis-20342	299	4	,	,	PUNCT
fcis-20342	299	5	2006	2006	NUM
fcis-20342	299	6	.	.	PUNCT
fcis-20342	300	1	[	[	X
fcis-20342	300	2	18	18	NUM
fcis-20342	300	3	]	]	X
fcis-20342	300	4	j.	j.	PROPN
fcis-20342	300	5	machajdik	machajdik	PROPN
fcis-20342	300	6	and	and	CCONJ
fcis-20342	300	7	a.	a.	PROPN
fcis-20342	300	8	hanbury	hanbury	PROPN
fcis-20342	300	9	,	,	PUNCT
fcis-20342	300	10	"	"	PUNCT
fcis-20342	300	11	affective	affective	ADJ
fcis-20342	300	12	image	image	NOUN
fcis-20342	300	13	classification	classification	NOUN
fcis-20342	300	14	using	use	VERB
fcis-20342	300	15	features	feature	NOUN
fcis-20342	300	16	inspired	inspire	VERB
fcis-20342	300	17	by	by	ADP
fcis-20342	300	18	psychology	psychology	NOUN
fcis-20342	300	19	and	and	CCONJ
fcis-20342	300	20	art	art	NOUN
fcis-20342	300	21	theory	theory	NOUN
fcis-20342	300	22	,	,	PUNCT
fcis-20342	300	23	"	"	PUNCT
fcis-20342	300	24	in	in	ADP
fcis-20342	300	25	proc	proc	NOUN
fcis-20342	300	26	.	.	PUNCT
fcis-20342	300	27	acm	acm	PROPN
fcis-20342	300	28	multimedia	multimedia	PROPN
fcis-20342	300	29	,	,	PUNCT
fcis-20342	300	30	2010	2010	NUM
fcis-20342	300	31	.	.	PUNCT
fcis-20342	301	1	[	[	X
fcis-20342	301	2	19	19	NUM
fcis-20342	301	3	]	]	PUNCT
fcis-20342	301	4	x.	x.	NOUN
fcis-20342	301	5	lu	lu	PROPN
fcis-20342	301	6	,	,	PUNCT
fcis-20342	301	7	p.	p.	NOUN
fcis-20342	301	8	suryanarayan	suryanarayan	PROPN
fcis-20342	301	9	,	,	PUNCT
fcis-20342	301	10	r.	r.	PROPN
fcis-20342	301	11	b.	b.	PROPN
fcis-20342	301	12	adams	adams	PROPN
fcis-20342	301	13	jr	jr	PROPN
fcis-20342	301	14	,	,	PUNCT
fcis-20342	301	15	et	et	PROPN
fcis-20342	301	16	al	al	PROPN
fcis-20342	301	17	.	.	PROPN
fcis-20342	301	18	,	,	PUNCT
fcis-20342	301	19	"	"	PUNCT
fcis-20342	301	20	on	on	ADP
fcis-20342	301	21	shape	shape	NOUN
fcis-20342	301	22	and	and	CCONJ
fcis-20342	301	23	the	the	DET
fcis-20342	301	24	computability	computability	NOUN
fcis-20342	301	25	of	of	ADP
fcis-20342	301	26	emotions	emotion	NOUN
fcis-20342	301	27	,	,	PUNCT
fcis-20342	301	28	"	"	PUNCT
fcis-20342	301	29	in	in	ADP
fcis-20342	301	30	proceedings	proceeding	NOUN
fcis-20342	301	31	of	of	ADP
fcis-20342	301	32	the	the	DET
fcis-20342	301	33	20th	20th	ADJ
fcis-20342	301	34	acm	acm	PROPN
fcis-20342	301	35	international	international	ADJ
fcis-20342	301	36	conference	conference	NOUN
fcis-20342	301	37	on	on	ADP
fcis-20342	301	38	multimedia	multimedia	NOUN
fcis-20342	301	39	,	,	PUNCT
fcis-20342	301	40	2012	2012	NUM
fcis-20342	301	41	,	,	PUNCT
fcis-20342	301	42	pp	pp	ADV
fcis-20342	301	43	.	.	PUNCT
fcis-20342	301	44	229238	229238	NUM
fcis-20342	301	45	.	.	PUNCT
fcis-20342	302	1	[	[	X
fcis-20342	302	2	20	20	NUM
fcis-20342	302	3	]	]	PUNCT
fcis-20342	302	4	a.	a.	NOUN
fcis-20342	302	5	sartori	sartori	PROPN
fcis-20342	302	6	,	,	PUNCT
fcis-20342	302	7	d.	d.	PROPN
fcis-20342	302	8	culibrk	culibrk	PROPN
fcis-20342	302	9	,	,	PUNCT
fcis-20342	302	10	y.	y.	PROPN
fcis-20342	302	11	yan	yan	PROPN
fcis-20342	302	12	,	,	PUNCT
fcis-20342	302	13	et	et	PROPN
fcis-20342	302	14	al	al	PROPN
fcis-20342	302	15	.	.	PROPN
fcis-20342	302	16	,	,	PUNCT
fcis-20342	302	17	"	"	PUNCT
fcis-20342	302	18	who	who	PRON
fcis-20342	302	19	’s	’	VERB
fcis-20342	302	20	afraid	afraid	ADJ
fcis-20342	302	21	of	of	ADP
fcis-20342	302	22	itten	itten	NOUN
fcis-20342	302	23	:	:	PUNCT
fcis-20342	302	24	using	use	VERB
fcis-20342	302	25	the	the	DET
fcis-20342	302	26	art	art	NOUN
fcis-20342	302	27	theory	theory	NOUN
fcis-20342	302	28	of	of	ADP
fcis-20342	302	29	color	color	NOUN
fcis-20342	302	30	combination	combination	NOUN
fcis-20342	302	31	to	to	PART
fcis-20342	302	32	analyze	analyze	VERB
fcis-20342	302	33	emotions	emotion	NOUN
fcis-20342	302	34	in	in	ADP
fcis-20342	302	35	abstract	abstract	ADJ
fcis-20342	302	36	paintings	painting	NOUN
fcis-20342	302	37	,	,	PUNCT
fcis-20342	302	38	"	"	PUNCT
fcis-20342	302	39	in	in	ADP
fcis-20342	302	40	proceedings	proceeding	NOUN
fcis-20342	302	41	of	of	ADP
fcis-20342	302	42	the	the	DET
fcis-20342	302	43	23rd	23rd	ADJ
fcis-20342	302	44	acm	acm	PROPN
fcis-20342	302	45	international	international	ADJ
fcis-20342	302	46	conference	conference	NOUN
fcis-20342	302	47	on	on	ADP
fcis-20342	302	48	multimedia	multimedia	NOUN
fcis-20342	302	49	,	,	PUNCT
fcis-20342	302	50	2015	2015	NUM
fcis-20342	302	51	,	,	PUNCT
fcis-20342	302	52	pp	pp	ADJ
fcis-20342	302	53	.	.	PUNCT
fcis-20342	303	1	311	311	NUM
fcis-20342	303	2	-	-	SYM
fcis-20342	303	3	320	320	NUM
fcis-20342	303	4	.	.	PUNCT
fcis-20342	304	1	[	[	X
fcis-20342	304	2	21	21	NUM
fcis-20342	304	3	]	]	X
fcis-20342	304	4	d.	d.	PROPN
fcis-20342	304	5	borth	borth	PROPN
fcis-20342	304	6	,	,	PUNCT
fcis-20342	304	7	t.	t.	PROPN
fcis-20342	304	8	chen	chen	PROPN
fcis-20342	304	9	,	,	PUNCT
fcis-20342	304	10	r.	r.	PROPN
fcis-20342	304	11	ji	ji	PROPN
fcis-20342	304	12	,	,	PUNCT
fcis-20342	304	13	et	et	PROPN
fcis-20342	304	14	al	al	PROPN
fcis-20342	304	15	.	.	PROPN
fcis-20342	304	16	,	,	PUNCT
fcis-20342	304	17	"	"	PUNCT
fcis-20342	304	18	sentibank	sentibank	NOUN
fcis-20342	304	19	:	:	PUNCT
fcis-20342	304	20	large	large	ADJ
fcis-20342	304	21	-	-	PUNCT
fcis-20342	304	22	scale	scale	NOUN
fcis-20342	304	23	ontology	ontology	NOUN
fcis-20342	304	24	and	and	CCONJ
fcis-20342	304	25	classifiers	classifier	NOUN
fcis-20342	304	26	for	for	ADP
fcis-20342	304	27	detecting	detect	VERB
fcis-20342	304	28	sentiment	sentiment	NOUN
fcis-20342	304	29	and	and	CCONJ
fcis-20342	304	30	emotions	emotion	NOUN
fcis-20342	304	31	in	in	ADP
fcis-20342	304	32	visual	visual	ADJ
fcis-20342	304	33	content	content	NOUN
fcis-20342	304	34	,	,	PUNCT
fcis-20342	304	35	"	"	PUNCT
fcis-20342	304	36	in	in	ADP
fcis-20342	304	37	acm	acm	PROPN
fcis-20342	304	38	international	international	ADJ
fcis-20342	304	39	conference	conference	NOUN
fcis-20342	304	40	on	on	ADP
fcis-20342	304	41	multimedia	multimedia	PROPN
fcis-20342	304	42	,	,	PUNCT
fcis-20342	304	43	acm	acm	PROPN
fcis-20342	304	44	,	,	PUNCT
fcis-20342	304	45	2013	2013	NUM
fcis-20342	304	46	,	,	PUNCT
fcis-20342	304	47	doi:10.1145/2502081.2502268	doi:10.1145/2502081.2502268	NOUN
fcis-20342	304	48	.	.	PUNCT
fcis-20342	305	1	[	[	X
fcis-20342	305	2	22	22	NUM
fcis-20342	305	3	]	]	PUNCT
fcis-20342	305	4	p.	p.	PROPN
fcis-20342	305	5	j.	j.	PROPN
fcis-20342	305	6	lang	lang	PROPN
fcis-20342	305	7	,	,	PUNCT
fcis-20342	305	8	m.	m.	PROPN
fcis-20342	305	9	m.	m.	PROPN
fcis-20342	305	10	bradley	bradley	PROPN
fcis-20342	305	11	,	,	PUNCT
fcis-20342	305	12	and	and	CCONJ
fcis-20342	305	13	b.	b.	PROPN
fcis-20342	305	14	n.	n.	PROPN
fcis-20342	305	15	cuthbert	cuthbert	PROPN
fcis-20342	305	16	,	,	PUNCT
fcis-20342	305	17	"	"	PUNCT
fcis-20342	305	18	international	international	ADJ
fcis-20342	305	19	affective	affective	ADJ
fcis-20342	305	20	picture	picture	NOUN
fcis-20342	305	21	system	system	NOUN
fcis-20342	305	22	(	(	PUNCT
fcis-20342	305	23	iaps	iaps	X
fcis-20342	305	24	):	):	PUNCT
fcis-20342	305	25	technical	technical	ADJ
fcis-20342	305	26	manual	manual	ADJ
fcis-20342	305	27	and	and	CCONJ
fcis-20342	305	28	affective	affective	ADJ
fcis-20342	305	29	ratings	rating	NOUN
fcis-20342	305	30	,	,	PUNCT
fcis-20342	305	31	"	"	PUNCT
fcis-20342	305	32	nimh	nimh	NOUN
fcis-20342	305	33	center	center	NOUN
fcis-20342	305	34	for	for	ADP
fcis-20342	305	35	the	the	DET
fcis-20342	305	36	study	study	NOUN
fcis-20342	305	37	of	of	ADP
fcis-20342	305	38	emotion	emotion	NOUN
fcis-20342	305	39	and	and	CCONJ
fcis-20342	305	40	attention	attention	NOUN
fcis-20342	305	41	,	,	PUNCT
fcis-20342	305	42	1997	1997	NUM
fcis-20342	305	43	,	,	PUNCT
fcis-20342	305	44	pp	pp	ADJ
fcis-20342	305	45	.	.	PUNCT
fcis-20342	306	1	39	39	NUM
fcis-20342	306	2	-	-	SYM
fcis-20342	306	3	58	58	NUM
fcis-20342	306	4	.	.	PUNCT
fcis-20342	307	1	[	[	X
fcis-20342	307	2	23	23	NUM
fcis-20342	307	3	]	]	X
fcis-20342	307	4	j.	j.	PROPN
fcis-20342	307	5	machajdik	machajdik	PROPN
fcis-20342	307	6	and	and	CCONJ
fcis-20342	307	7	a.	a.	PROPN
fcis-20342	307	8	hanbury	hanbury	PROPN
fcis-20342	307	9	,	,	PUNCT
fcis-20342	307	10	"	"	PUNCT
fcis-20342	307	11	affective	affective	ADJ
fcis-20342	307	12	image	image	NOUN
fcis-20342	307	13	classification	classification	NOUN
fcis-20342	307	14	using	use	VERB
fcis-20342	307	15	features	feature	NOUN
fcis-20342	307	16	inspired	inspire	VERB
fcis-20342	307	17	by	by	ADP
fcis-20342	307	18	psychology	psychology	NOUN
fcis-20342	307	19	and	and	CCONJ
fcis-20342	307	20	art	art	NOUN
fcis-20342	307	21	theory	theory	NOUN
fcis-20342	307	22	,	,	PUNCT
fcis-20342	307	23	"	"	PUNCT
fcis-20342	307	24	in	in	ADP
fcis-20342	307	25	proceedings	proceeding	NOUN
fcis-20342	307	26	of	of	ADP
fcis-20342	307	27	the	the	DET
fcis-20342	307	28	18th	18th	ADJ
fcis-20342	307	29	acm	acm	PROPN
fcis-20342	307	30	international	international	ADJ
fcis-20342	307	31	conference	conference	NOUN
fcis-20342	307	32	on	on	ADP
fcis-20342	307	33	multimedia	multimedia	NOUN
fcis-20342	307	34	,	,	PUNCT
fcis-20342	307	35	2010	2010	NUM
fcis-20342	307	36	,	,	PUNCT
fcis-20342	307	37	pp	pp	ADJ
fcis-20342	307	38	.	.	PUNCT
fcis-20342	308	1	83	83	NUM
fcis-20342	308	2	-	-	SYM
fcis-20342	308	3	92	92	NUM
fcis-20342	308	4	.	.	PUNCT
fcis-20342	309	1	[	[	X
fcis-20342	309	2	24	24	NUM
fcis-20342	309	3	]	]	PUNCT
fcis-20342	309	4	e.	e.	PROPN
fcis-20342	309	5	s.	s.	PROPN
fcis-20342	309	6	dan	dan	PROPN
fcis-20342	309	7	-	-	PUNCT
fcis-20342	309	8	glauser	glauser	PROPN
fcis-20342	309	9	and	and	CCONJ
fcis-20342	309	10	k.	k.	PROPN
fcis-20342	309	11	r.	r.	PROPN
fcis-20342	309	12	scherer	scherer	PROPN
fcis-20342	309	13	,	,	PUNCT
fcis-20342	309	14	"	"	PUNCT
fcis-20342	309	15	the	the	DET
fcis-20342	309	16	geneva	geneva	PROPN
fcis-20342	309	17	affective	affective	PROPN
fcis-20342	309	18	picture	picture	NOUN
fcis-20342	309	19	database	database	NOUN
fcis-20342	309	20	(	(	PUNCT
fcis-20342	309	21	gaped	gape	VERB
fcis-20342	309	22	):	):	PUNCT
fcis-20342	309	23	a	a	DET
fcis-20342	309	24	new	new	ADJ
fcis-20342	309	25	730	730	NUM
fcis-20342	309	26	-	-	PUNCT
fcis-20342	309	27	picture	picture	NOUN
fcis-20342	309	28	database	database	NOUN
fcis-20342	309	29	focusing	focus	VERB
fcis-20342	309	30	on	on	ADP
fcis-20342	309	31	valence	valence	NOUN
fcis-20342	309	32	and	and	CCONJ
fcis-20342	309	33	normative	normative	ADJ
fcis-20342	309	34	significance	significance	NOUN
fcis-20342	309	35	,	,	PUNCT
fcis-20342	309	36	"	"	PUNCT
fcis-20342	309	37	behavior	behavior	NOUN
fcis-20342	309	38	research	research	NOUN
fcis-20342	309	39	methods	method	NOUN
fcis-20342	309	40	,	,	PUNCT
fcis-20342	309	41	vol	vol	NOUN
fcis-20342	309	42	.	.	PROPN
fcis-20342	310	1	43	43	NUM
fcis-20342	310	2	,	,	PUNCT
fcis-20342	310	3	no	no	INTJ
fcis-20342	310	4	.	.	NOUN
fcis-20342	310	5	2	2	NUM
fcis-20342	310	6	,	,	PUNCT
fcis-20342	310	7	pp	pp	ADJ
fcis-20342	310	8	.	.	PUNCT
fcis-20342	311	1	468	468	NUM
fcis-20342	311	2	-	-	SYM
fcis-20342	311	3	477	477	NUM
fcis-20342	311	4	,	,	PUNCT
fcis-20342	311	5	2011	2011	NUM
fcis-20342	311	6	.	.	PUNCT
fcis-20342	312	1	[	[	X
fcis-20342	312	2	25	25	NUM
fcis-20342	312	3	]	]	PUNCT
fcis-20342	312	4	x.	x.	PROPN
fcis-20342	312	5	alameda	alameda	PROPN
fcis-20342	312	6	-	-	PUNCT
fcis-20342	312	7	pineda	pineda	PROPN
fcis-20342	312	8	,	,	PUNCT
fcis-20342	312	9	e.	e.	PROPN
fcis-20342	312	10	ricci	ricci	PROPN
fcis-20342	312	11	,	,	PUNCT
fcis-20342	312	12	y.	y.	PROPN
fcis-20342	312	13	yan	yan	PROPN
fcis-20342	312	14	,	,	PUNCT
fcis-20342	312	15	et	et	PROPN
fcis-20342	312	16	al	al	PROPN
fcis-20342	312	17	.	.	PROPN
fcis-20342	312	18	,	,	PUNCT
fcis-20342	312	19	"	"	PUNCT
fcis-20342	312	20	recognizing	recognize	VERB
fcis-20342	312	21	emotions	emotion	NOUN
fcis-20342	312	22	from	from	ADP
fcis-20342	312	23	abstract	abstract	ADJ
fcis-20342	312	24	paintings	painting	NOUN
fcis-20342	312	25	using	use	VERB
fcis-20342	312	26	non	non	ADJ
fcis-20342	312	27	-	-	ADJ
fcis-20342	312	28	linear	linear	ADJ
fcis-20342	312	29	matrix	matrix	NOUN
fcis-20342	312	30	completion	completion	NOUN
fcis-20342	312	31	,	,	PUNCT
fcis-20342	312	32	"	"	PUNCT
fcis-20342	312	33	in	in	ADP
fcis-20342	312	34	proceedings	proceeding	NOUN
fcis-20342	312	35	of	of	ADP
fcis-20342	312	36	the	the	DET
fcis-20342	312	37	ieee	ieee	NOUN
fcis-20342	312	38	conference	conference	NOUN
fcis-20342	312	39	on	on	ADP
fcis-20342	312	40	computer	computer	NOUN
fcis-20342	312	41	vision	vision	NOUN
fcis-20342	312	42	and	and	CCONJ
fcis-20342	312	43	pattern	pattern	NOUN
fcis-20342	312	44	recognition	recognition	NOUN
fcis-20342	312	45	,	,	PUNCT
fcis-20342	312	46	2016	2016	NUM
fcis-20342	312	47	,	,	PUNCT
fcis-20342	312	48	pp	pp	ADJ
fcis-20342	312	49	.	.	PUNCT
fcis-20342	312	50	52405248	52405248	NUM
fcis-20342	312	51	.	.	PUNCT
fcis-20342	313	1	[	[	X
fcis-20342	313	2	26	26	NUM
fcis-20342	313	3	]	]	PUNCT
fcis-20342	313	4	j.	j.	PROPN
fcis-20342	313	5	a.	a.	PROPN
fcis-20342	313	6	mikels	mikels	PROPN
fcis-20342	313	7	,	,	PUNCT
fcis-20342	313	8	b.	b.	PROPN
fcis-20342	313	9	l.	l.	PROPN
fcis-20342	313	10	fredrickson	fredrickson	PROPN
fcis-20342	313	11	,	,	PUNCT
fcis-20342	313	12	g.	g.	PROPN
fcis-20342	313	13	r.	r.	PROPN
fcis-20342	313	14	larkin	larkin	PROPN
fcis-20342	313	15	,	,	PUNCT
fcis-20342	313	16	et	et	PROPN
fcis-20342	313	17	al	al	PROPN
fcis-20342	313	18	.	.	PROPN
fcis-20342	313	19	,	,	PUNCT
fcis-20342	313	20	"	"	PUNCT
fcis-20342	313	21	emotional	emotional	ADJ
fcis-20342	313	22	category	category	NOUN
fcis-20342	313	23	data	datum	NOUN
fcis-20342	313	24	on	on	ADP
fcis-20342	313	25	images	image	NOUN
fcis-20342	313	26	from	from	ADP
fcis-20342	313	27	the	the	DET
fcis-20342	313	28	international	international	ADJ
fcis-20342	313	29	affective	affective	ADJ
fcis-20342	313	30	picture	picture	NOUN
fcis-20342	313	31	system	system	NOUN
fcis-20342	313	32	,	,	PUNCT
fcis-20342	313	33	"	"	PUNCT
fcis-20342	313	34	behavior	behavior	NOUN
fcis-20342	313	35	research	research	NOUN
fcis-20342	313	36	methods	method	NOUN
fcis-20342	313	37	,	,	PUNCT
fcis-20342	313	38	vol	vol	NOUN
fcis-20342	313	39	.	.	PROPN
fcis-20342	314	1	37	37	NUM
fcis-20342	314	2	,	,	PUNCT
fcis-20342	314	3	no	no	INTJ
fcis-20342	314	4	.	.	NOUN
fcis-20342	314	5	4	4	NUM
fcis-20342	314	6	,	,	PUNCT
fcis-20342	314	7	pp	pp	ADJ
fcis-20342	314	8	.	.	PUNCT
fcis-20342	315	1	626630	626630	NUM
fcis-20342	315	2	,	,	PUNCT
fcis-20342	315	3	2005	2005	NUM
fcis-20342	315	4	.	.	PUNCT
fcis-20342	316	1	[	[	X
fcis-20342	316	2	27	27	NUM
fcis-20342	316	3	]	]	PUNCT
fcis-20342	316	4	q.	q.	NOUN
fcis-20342	316	5	you	you	PRON
fcis-20342	316	6	,	,	PUNCT
fcis-20342	316	7	j.	j.	PROPN
fcis-20342	316	8	luo	luo	PROPN
fcis-20342	316	9	,	,	PUNCT
fcis-20342	316	10	h.	h.	PROPN
fcis-20342	316	11	jin	jin	PROPN
fcis-20342	316	12	,	,	PUNCT
fcis-20342	316	13	et	et	PROPN
fcis-20342	316	14	al	al	PROPN
fcis-20342	316	15	.	.	PROPN
fcis-20342	316	16	,	,	PUNCT
fcis-20342	316	17	"	"	PUNCT
fcis-20342	316	18	building	build	VERB
fcis-20342	316	19	a	a	DET
fcis-20342	316	20	large	large	ADJ
fcis-20342	316	21	scale	scale	NOUN
fcis-20342	316	22	dataset	dataset	NOUN
fcis-20342	316	23	for	for	ADP
fcis-20342	316	24	image	image	NOUN
fcis-20342	316	25	emotion	emotion	NOUN
fcis-20342	316	26	recognition	recognition	NOUN
fcis-20342	316	27	:	:	PUNCT
fcis-20342	316	28	the	the	DET
fcis-20342	316	29	fine	fine	ADJ
fcis-20342	316	30	print	print	NOUN
fcis-20342	316	31	and	and	CCONJ
fcis-20342	316	32	the	the	DET
fcis-20342	316	33	benchmark	benchmark	NOUN
fcis-20342	316	34	,	,	PUNCT
fcis-20342	316	35	"	"	PUNCT
fcis-20342	316	36	in	in	ADP
fcis-20342	316	37	proceedings	proceeding	NOUN
fcis-20342	316	38	of	of	ADP
fcis-20342	316	39	the	the	DET
fcis-20342	316	40	aaai	aaai	PROPN
fcis-20342	316	41	conference	conference	NOUN
fcis-20342	316	42	on	on	ADP
fcis-20342	316	43	artificial	artificial	ADJ
fcis-20342	316	44	intelligence	intelligence	NOUN
fcis-20342	316	45	,	,	PUNCT
fcis-20342	316	46	2016	2016	NUM
fcis-20342	316	47	,	,	PUNCT
fcis-20342	316	48	pp	pp	ADJ
fcis-20342	316	49	.	.	PUNCT
fcis-20342	317	1	308	308	NUM
fcis-20342	317	2	-	-	SYM
fcis-20342	317	3	314	314	NUM
fcis-20342	317	4	.	.	PUNCT
fcis-20342	318	1	[	[	X
fcis-20342	318	2	28	28	NUM
fcis-20342	318	3	]	]	X
fcis-20342	318	4	d.	d.	PROPN
fcis-20342	318	5	borth	borth	PROPN
fcis-20342	318	6	,	,	PUNCT
fcis-20342	318	7	r.	r.	PROPN
fcis-20342	318	8	ji	ji	PROPN
fcis-20342	318	9	,	,	PUNCT
fcis-20342	318	10	t.	t.	PROPN
fcis-20342	318	11	chen	chen	PROPN
fcis-20342	318	12	,	,	PUNCT
fcis-20342	318	13	et	et	PROPN
fcis-20342	318	14	al	al	PROPN
fcis-20342	318	15	.	.	PROPN
fcis-20342	318	16	,	,	PUNCT
fcis-20342	318	17	"	"	PUNCT
fcis-20342	318	18	large	large	ADJ
fcis-20342	318	19	-	-	PUNCT
fcis-20342	318	20	scale	scale	NOUN
fcis-20342	318	21	visual	visual	ADJ
fcis-20342	318	22	sentiment	sentiment	NOUN
fcis-20342	318	23	ontology	ontology	NOUN
fcis-20342	318	24	and	and	CCONJ
fcis-20342	318	25	detectors	detector	NOUN
fcis-20342	318	26	using	use	VERB
fcis-20342	318	27	adjective	adjective	ADJ
fcis-20342	318	28	noun	noun	NOUN
fcis-20342	318	29	pairs	pair	NOUN
fcis-20342	318	30	,	,	PUNCT
fcis-20342	318	31	"	"	PUNCT
fcis-20342	318	32	in	in	ADP
fcis-20342	318	33	proceedings	proceeding	NOUN
fcis-20342	318	34	of	of	ADP
fcis-20342	318	35	the	the	DET
fcis-20342	318	36	21st	21st	PROPN
fcis-20342	318	37	acm	acm	PROPN
fcis-20342	318	38	international	international	ADJ
fcis-20342	318	39	conference	conference	NOUN
fcis-20342	318	40	on	on	ADP
fcis-20342	318	41	multimedia	multimedia	NOUN
fcis-20342	318	42	,	,	PUNCT
fcis-20342	318	43	2013	2013	NUM
fcis-20342	318	44	,	,	PUNCT
fcis-20342	318	45	pp	pp	ADJ
fcis-20342	318	46	.	.	PUNCT
fcis-20342	318	47	223	223	NUM
fcis-20342	318	48	-	-	SYM
fcis-20342	318	49	232	232	NUM
fcis-20342	318	50	.	.	PUNCT
fcis-20342	319	1	[	[	X
fcis-20342	319	2	29	29	NUM
fcis-20342	319	3	]	]	X
fcis-20342	319	4	k.-c	k.-c	NOUN
fcis-20342	319	5	.	.	PUNCT
fcis-20342	320	1	peng	peng	PROPN
fcis-20342	320	2	,	,	PUNCT
fcis-20342	320	3	a.	a.	NOUN
fcis-20342	320	4	sadovnik	sadovnik	PROPN
fcis-20342	320	5	,	,	PUNCT
fcis-20342	320	6	a.	a.	NOUN
fcis-20342	320	7	gallagher	gallagher	PROPN
fcis-20342	320	8	,	,	PUNCT
fcis-20342	320	9	et	et	PROPN
fcis-20342	320	10	al	al	PROPN
fcis-20342	320	11	.	.	PROPN
fcis-20342	320	12	,	,	PUNCT
fcis-20342	320	13	"	"	PUNCT
fcis-20342	320	14	a	a	DET
fcis-20342	320	15	mixed	mixed	ADJ
fcis-20342	320	16	bag	bag	NOUN
fcis-20342	320	17	of	of	ADP
fcis-20342	320	18	emotions	emotion	NOUN
fcis-20342	320	19	:	:	PUNCT
fcis-20342	320	20	model	model	NOUN
fcis-20342	320	21	,	,	PUNCT
fcis-20342	320	22	predict	predict	VERB
fcis-20342	320	23	,	,	PUNCT
fcis-20342	320	24	and	and	CCONJ
fcis-20342	320	25	transfer	transfer	VERB
fcis-20342	320	26	emotion	emotion	NOUN
fcis-20342	320	27	distributions	distribution	NOUN
fcis-20342	320	28	,	,	PUNCT
fcis-20342	320	29	"	"	PUNCT
fcis-20342	320	30	in	in	ADP
fcis-20342	320	31	proceedings	proceeding	NOUN
fcis-20342	320	32	of	of	ADP
fcis-20342	320	33	the	the	DET
fcis-20342	320	34	ieee	ieee	NOUN
fcis-20342	320	35	conference	conference	NOUN
fcis-20342	320	36	on	on	ADP
fcis-20342	320	37	computer	computer	NOUN
fcis-20342	320	38	vision	vision	NOUN
fcis-20342	320	39	and	and	CCONJ
fcis-20342	320	40	pattern	pattern	NOUN
fcis-20342	320	41	recognition	recognition	NOUN
fcis-20342	320	42	,	,	PUNCT
fcis-20342	320	43	2015	2015	NUM
fcis-20342	320	44	,	,	PUNCT
fcis-20342	320	45	pp	pp	ADP
fcis-20342	320	46	.	.	PUNCT
fcis-20342	321	1	860	860	NUM
fcis-20342	321	2	-	-	SYM
fcis-20342	321	3	868	868	NUM
fcis-20342	321	4	.	.	PUNCT
fcis-20342	322	1	[	[	X
fcis-20342	322	2	30	30	NUM
fcis-20342	322	3	]	]	X
fcis-20342	322	4	l.	l.	PROPN
fcis-20342	322	5	vadicamo	vadicamo	PROPN
fcis-20342	322	6	,	,	PUNCT
fcis-20342	322	7	f.	f.	PROPN
fcis-20342	322	8	carrara	carrara	PROPN
fcis-20342	322	9	,	,	PUNCT
fcis-20342	322	10	a.	a.	PROPN
fcis-20342	322	11	cimino	cimino	PROPN
fcis-20342	322	12	,	,	PUNCT
fcis-20342	322	13	et	et	PROPN
fcis-20342	322	14	al	al	PROPN
fcis-20342	322	15	.	.	PROPN
fcis-20342	322	16	,	,	PUNCT
fcis-20342	322	17	"	"	PUNCT
fcis-20342	322	18	cross	cross	ADJ
fcis-20342	322	19	-	-	ADJ
fcis-20342	322	20	media	media	ADJ
fcis-20342	322	21	learning	learning	NOUN
fcis-20342	322	22	for	for	ADP
fcis-20342	322	23	image	image	NOUN
fcis-20342	322	24	sentiment	sentiment	NOUN
fcis-20342	322	25	analysis	analysis	NOUN
fcis-20342	322	26	in	in	ADP
fcis-20342	322	27	the	the	DET
fcis-20342	322	28	wild	wild	NOUN
fcis-20342	322	29	,	,	PUNCT
fcis-20342	322	30	"	"	PUNCT
fcis-20342	322	31	in	in	ADP
fcis-20342	322	32	proceedings	proceeding	NOUN
fcis-20342	322	33	of	of	ADP
fcis-20342	322	34	the	the	DET
fcis-20342	322	35	ieee	ieee	NOUN
fcis-20342	322	36	international	international	PROPN
fcis-20342	322	37	conference	conference	NOUN
fcis-20342	322	38	on	on	ADP
fcis-20342	322	39	computer	computer	NOUN
fcis-20342	322	40	vision	vision	NOUN
fcis-20342	322	41	workshops	workshop	NOUN
fcis-20342	322	42	,	,	PUNCT
fcis-20342	322	43	2017	2017	NUM
fcis-20342	322	44	,	,	PUNCT
fcis-20342	322	45	pp	pp	ADJ
fcis-20342	322	46	.	.	PUNCT
fcis-20342	323	1	308	308	NUM
fcis-20342	323	2	-	-	SYM
fcis-20342	323	3	317	317	NUM
fcis-20342	323	4	.	.	PUNCT
fcis-20342	324	1	[	[	X
fcis-20342	324	2	31	31	NUM
fcis-20342	324	3	]	]	PUNCT
fcis-20342	324	4	s.	s.	PROPN
fcis-20342	324	5	zhao	zhao	PROPN
fcis-20342	324	6	,	,	PUNCT
fcis-20342	324	7	h.	h.	PROPN
fcis-20342	324	8	yao	yao	PROPN
fcis-20342	324	9	,	,	PUNCT
fcis-20342	324	10	y.	y.	PROPN
fcis-20342	324	11	gao	gao	PROPN
fcis-20342	324	12	,	,	PUNCT
fcis-20342	324	13	et	et	PROPN
fcis-20342	324	14	al	al	PROPN
fcis-20342	324	15	.	.	PROPN
fcis-20342	324	16	,	,	PUNCT
fcis-20342	324	17	"	"	PUNCT
fcis-20342	324	18	predicting	predict	VERB
fcis-20342	324	19	personalized	personalized	ADJ
fcis-20342	324	20	emotion	emotion	NOUN
fcis-20342	324	21	perceptions	perception	NOUN
fcis-20342	324	22	of	of	ADP
fcis-20342	324	23	social	social	ADJ
fcis-20342	324	24	images	image	NOUN
fcis-20342	324	25	,	,	PUNCT
fcis-20342	324	26	"	"	PUNCT
fcis-20342	324	27	in	in	ADP
fcis-20342	324	28	proc	proc	NOUN
fcis-20342	324	29	.	.	PUNCT
fcis-20342	324	30	acm	acm	PROPN
fcis-20342	324	31	mm	mm	PROPN
fcis-20342	324	32	,	,	PUNCT
fcis-20342	324	33	2016	2016	NUM
fcis-20342	324	34	,	,	PUNCT
fcis-20342	324	35	pp	pp	ADJ
fcis-20342	324	36	.	.	PUNCT
fcis-20342	324	37	1385	1385	NUM
fcis-20342	324	38	-	-	SYM
fcis-20342	324	39	1394	1394	NUM
fcis-20342	324	40	.	.	PUNCT
fcis-20342	325	1	[	[	X
fcis-20342	325	2	32	32	NUM
fcis-20342	325	3	]	]	PUNCT
fcis-20342	325	4	j.	j.	PROPN
fcis-20342	325	5	yang	yang	PROPN
fcis-20342	325	6	,	,	PUNCT
fcis-20342	325	7	q.	q.	PROPN
fcis-20342	325	8	huang	huang	PROPN
fcis-20342	325	9	,	,	PUNCT
fcis-20342	325	10	t.	t.	PROPN
fcis-20342	325	11	ding	ding	PROPN
fcis-20342	325	12	,	,	PUNCT
fcis-20342	325	13	et	et	PROPN
fcis-20342	325	14	al	al	PROPN
fcis-20342	325	15	.	.	PROPN
fcis-20342	325	16	,	,	PUNCT
fcis-20342	325	17	"	"	PUNCT
fcis-20342	325	18	emoset	emoset	NOUN
fcis-20342	325	19	:	:	PUNCT
fcis-20342	325	20	a	a	DET
fcis-20342	325	21	large	large	ADJ
fcis-20342	325	22	-	-	PUNCT
fcis-20342	325	23	scale	scale	NOUN
fcis-20342	325	24	visual	visual	ADJ
fcis-20342	325	25	emotion	emotion	NOUN
fcis-20342	325	26	dataset	dataset	VERB
fcis-20342	325	27	with	with	ADP
fcis-20342	325	28	rich	rich	ADJ
fcis-20342	325	29	attributes	attribute	NOUN
fcis-20342	325	30	,	,	PUNCT
fcis-20342	325	31	"	"	PUNCT
fcis-20342	325	32	in	in	ADP
fcis-20342	325	33	proc	proc	NOUN
fcis-20342	325	34	.	.	PUNCT
fcis-20342	326	1	of	of	ADP
fcis-20342	326	2	the	the	DET
fcis-20342	326	3	2023	2023	NUM
fcis-20342	326	4	ieee	ieee	NOUN
fcis-20342	326	5	/	/	SYM
fcis-20342	326	6	cvf	cvf	NOUN
fcis-20342	326	7	international	international	ADJ
fcis-20342	326	8	conference	conference	NOUN
fcis-20342	326	9	on	on	ADP
fcis-20342	326	10	computer	computer	NOUN
fcis-20342	326	11	vision	vision	NOUN
fcis-20342	326	12	,	,	PUNCT
fcis-20342	326	13	2023	2023	NUM
fcis-20342	326	14	,	,	PUNCT
fcis-20342	326	15	pp	pp	ADJ
fcis-20342	326	16	.	.	PUNCT
fcis-20342	327	1	20326	20326	NUM
fcis-20342	327	2	-	-	SYM
fcis-20342	327	3	20337	20337	NUM
fcis-20342	327	4	.	.	PUNCT
fcis-20342	328	1	[	[	X
fcis-20342	328	2	33	33	NUM
fcis-20342	328	3	]	]	PUNCT
fcis-20342	328	4	j.	j.	PROPN
fcis-20342	328	5	hu	hu	PROPN
fcis-20342	328	6	,	,	PUNCT
fcis-20342	328	7	l.	l.	PROPN
fcis-20342	328	8	shen	shen	PROPN
fcis-20342	328	9	,	,	PUNCT
fcis-20342	328	10	s.	s.	PROPN
fcis-20342	328	11	albanie	albanie	PROPN
fcis-20342	328	12	,	,	PUNCT
fcis-20342	328	13	et	et	PROPN
fcis-20342	328	14	al	al	PROPN
fcis-20342	328	15	.	.	PROPN
fcis-20342	328	16	,	,	PUNCT
fcis-20342	328	17	"	"	PUNCT
fcis-20342	328	18	squeeze	squeeze	NOUN
fcis-20342	328	19	-	-	PUNCT
fcis-20342	328	20	and	and	CCONJ
fcis-20342	328	21	-	-	PUNCT
fcis-20342	328	22	excitation	excitation	NOUN
fcis-20342	328	23	networks	network	NOUN
fcis-20342	328	24	,	,	PUNCT
fcis-20342	328	25	"	"	PUNCT
fcis-20342	328	26	ieee	ieee	NOUN
fcis-20342	328	27	transactions	transaction	NOUN
fcis-20342	328	28	on	on	ADP
fcis-20342	328	29	pattern	pattern	NOUN
fcis-20342	328	30	analysis	analysis	NOUN
fcis-20342	328	31	and	and	CCONJ
fcis-20342	328	32	machine	machine	NOUN
fcis-20342	328	33	intelligence	intelligence	NOUN
fcis-20342	328	34	,	,	PUNCT
fcis-20342	328	35	vol	vol	NOUN
fcis-20342	328	36	.	.	PROPN
fcis-20342	329	1	42	42	NUM
fcis-20342	329	2	,	,	PUNCT
fcis-20342	329	3	no	no	INTJ
fcis-20342	329	4	.	.	NOUN
fcis-20342	329	5	8	8	NUM
fcis-20342	329	6	,	,	PUNCT
fcis-20342	329	7	pp	pp	ADJ
fcis-20342	329	8	.	.	PUNCT
fcis-20342	330	1	2011	2011	NUM
fcis-20342	330	2	-	-	SYM
fcis-20342	330	3	2023	2023	NUM
fcis-20342	330	4	,	,	PUNCT
fcis-20342	330	5	2020	2020	NUM
fcis-20342	330	6	.	.	PUNCT
fcis-20342	331	1	[	[	X
fcis-20342	331	2	34	34	NUM
fcis-20342	331	3	]	]	X
fcis-20342	331	4	s.	s.	PROPN
fcis-20342	331	5	woo	woo	PROPN
fcis-20342	331	6	,	,	PUNCT
fcis-20342	331	7	j.	j.	PROPN
fcis-20342	331	8	park	park	PROPN
fcis-20342	331	9	,	,	PUNCT
fcis-20342	331	10	j.	j.	PROPN
fcis-20342	331	11	y.	y.	PROPN
fcis-20342	331	12	lee	lee	PROPN
fcis-20342	331	13	,	,	PUNCT
fcis-20342	331	14	et	et	PROPN
fcis-20342	331	15	al	al	PROPN
fcis-20342	331	16	.	.	PROPN
fcis-20342	331	17	,	,	PUNCT
fcis-20342	331	18	"	"	PUNCT
fcis-20342	331	19	cbam	cbam	NOUN
fcis-20342	331	20	:	:	PUNCT
fcis-20342	331	21	convolutional	convolutional	ADJ
fcis-20342	331	22	block	block	NOUN
fcis-20342	331	23	attention	attention	NOUN
fcis-20342	331	24	module	module	NOUN
fcis-20342	331	25	,	,	PUNCT
fcis-20342	331	26	"	"	PUNCT
fcis-20342	331	27	lecture	lecture	NOUN
fcis-20342	331	28	notes	note	NOUN
fcis-20342	331	29	in	in	ADP
fcis-20342	331	30	computer	computer	NOUN
fcis-20342	331	31	science	science	NOUN
fcis-20342	331	32	(	(	PUNCT
fcis-20342	331	33	including	include	VERB
fcis-20342	331	34	subseries	subserie	NOUN
fcis-20342	331	35	lecture	lecture	VERB
fcis-20342	331	36	notes	note	NOUN
fcis-20342	331	37	in	in	ADP
fcis-20342	331	38	artificial	artificial	ADJ
fcis-20342	331	39	intelligence	intelligence	NOUN
fcis-20342	331	40	and	and	CCONJ
fcis-20342	331	41	lecture	lecture	NOUN
fcis-20342	331	42	notes	note	NOUN
fcis-20342	331	43	in	in	ADP
fcis-20342	331	44	bioinformatics	bioinformatics	NOUN
fcis-20342	331	45	)	)	PUNCT
fcis-20342	331	46	,	,	PUNCT
fcis-20342	331	47	vol	vol	NOUN
fcis-20342	331	48	.	.	NOUN
fcis-20342	331	49	11211	11211	NUM
fcis-20342	331	50	,	,	PUNCT
fcis-20342	331	51	pp	pp	ADJ
fcis-20342	331	52	.	.	PUNCT
fcis-20342	332	1	3	3	NUM
fcis-20342	332	2	-	-	SYM
fcis-20342	332	3	19	19	NUM
fcis-20342	332	4	,	,	PUNCT
fcis-20342	332	5	2018	2018	NUM
fcis-20342	332	6	.	.	PUNCT
fcis-20342	333	1	[	[	X
fcis-20342	333	2	35	35	NUM
fcis-20342	333	3	]	]	X
fcis-20342	333	4	s.	s.	PROPN
fcis-20342	333	5	zhao	zhao	PROPN
fcis-20342	333	6	,	,	PUNCT
fcis-20342	333	7	z.	z.	PROPN
fcis-20342	333	8	jia	jia	PROPN
fcis-20342	333	9	,	,	PUNCT
fcis-20342	333	10	h.	h.	PROPN
fcis-20342	333	11	chen	chen	PROPN
fcis-20342	333	12	,	,	PUNCT
fcis-20342	333	13	et	et	PROPN
fcis-20342	333	14	al	al	PROPN
fcis-20342	333	15	.	.	PROPN
fcis-20342	333	16	,	,	PUNCT
fcis-20342	333	17	"	"	PUNCT
fcis-20342	333	18	pdanet	pdanet	NOUN
fcis-20342	333	19	:	:	PUNCT
fcis-20342	333	20	polarity	polarity	NOUN
fcis-20342	333	21	-	-	PUNCT
fcis-20342	333	22	consistent	consistent	ADJ
fcis-20342	333	23	deep	deep	ADJ
fcis-20342	333	24	attention	attention	NOUN
fcis-20342	333	25	network	network	NOUN
fcis-20342	333	26	for	for	ADP
fcis-20342	333	27	fine	fine	ADV
fcis-20342	333	28	-	-	PUNCT
fcis-20342	333	29	grained	grain	VERB
fcis-20342	333	30	visual	visual	ADJ
fcis-20342	333	31	emotion	emotion	NOUN
fcis-20342	333	32	regression	regression	NOUN
fcis-20342	333	33	,	,	PUNCT
fcis-20342	333	34	"	"	PUNCT
fcis-20342	333	35	in	in	ADP
fcis-20342	333	36	proc	proc	NOUN
fcis-20342	333	37	.	.	PUNCT
fcis-20342	333	38	acm	acm	PROPN
fcis-20342	333	39	mm	mm	PROPN
fcis-20342	333	40	,	,	PUNCT
fcis-20342	333	41	2019	2019	NUM
fcis-20342	333	42	,	,	PUNCT
fcis-20342	333	43	pp	pp	ADJ
fcis-20342	333	44	.	.	PUNCT
fcis-20342	333	45	192	192	NUM
fcis-20342	333	46	-	-	SYM
fcis-20342	333	47	201	201	NUM
fcis-20342	333	48	.	.	PUNCT
fcis-20342	334	1	[	[	X
fcis-20342	334	2	36	36	NUM
fcis-20342	334	3	]	]	PUNCT
fcis-20342	334	4	l.	l.	PROPN
fcis-20342	334	5	yang	yang	PROPN
fcis-20342	334	6	,	,	PUNCT
fcis-20342	334	7	r.	r.	PROPN
fcis-20342	334	8	y.	y.	PROPN
fcis-20342	334	9	zhang	zhang	PROPN
fcis-20342	334	10	,	,	PUNCT
fcis-20342	334	11	l.	l.	PROPN
fcis-20342	334	12	li	li	PROPN
fcis-20342	334	13	,	,	PUNCT
fcis-20342	334	14	et	et	PROPN
fcis-20342	334	15	al	al	PROPN
fcis-20342	334	16	.	.	PROPN
fcis-20342	334	17	,	,	PUNCT
fcis-20342	334	18	"	"	PUNCT
fcis-20342	334	19	simam	simam	NOUN
fcis-20342	334	20	:	:	PUNCT
fcis-20342	334	21	a	a	DET
fcis-20342	334	22	simple	simple	ADJ
fcis-20342	334	23	,	,	PUNCT
fcis-20342	334	24	parameter	parameter	NOUN
fcis-20342	334	25	-	-	PUNCT
fcis-20342	334	26	free	free	ADJ
fcis-20342	334	27	attention	attention	NOUN
fcis-20342	334	28	module	module	NOUN
fcis-20342	334	29	for	for	ADP
fcis-20342	334	30	convolutional	convolutional	ADJ
fcis-20342	334	31	neural	neural	ADJ
fcis-20342	334	32	networks	network	NOUN
fcis-20342	334	33	,	,	PUNCT
fcis-20342	334	34	"	"	PUNCT
fcis-20342	334	35	in	in	ADP
fcis-20342	334	36	international	international	ADJ
fcis-20342	334	37	conference	conference	NOUN
fcis-20342	334	38	on	on	ADP
fcis-20342	334	39	machine	machine	NOUN
fcis-20342	334	40	learning	learning	NOUN
fcis-20342	334	41	.	.	PUNCT
fcis-20342	335	1	pmlr	pmlr	NOUN
fcis-20342	335	2	,	,	PUNCT
fcis-20342	335	3	2021	2021	NUM
fcis-20342	335	4	.	.	PUNCT
fcis-20342	336	1	[	[	X
fcis-20342	336	2	37	37	NUM
fcis-20342	336	3	]	]	X
fcis-20342	336	4	bai	bai	PROPN
fcis-20342	336	5	lu	lu	PROPN
fcis-20342	336	6	,	,	PUNCT
fcis-20342	336	7	hui	hui	PROPN
fcis-20342	336	8	ma	ma	PROPN
fcis-20342	336	9	,	,	PUNCT
fcis-20342	336	10	yuxia	yuxia	PROPN
fcis-20342	336	11	huang	huang	PROPN
fcis-20342	336	12	,	,	PUNCT
fcis-20342	336	13	and	and	CCONJ
fcis-20342	336	14	yuejia	yuejia	PROPN
fcis-20342	336	15	luo	luo	PROPN
fcis-20342	336	16	,	,	PUNCT
fcis-20342	336	17	"	"	PUNCT
fcis-20342	336	18	development	development	NOUN
fcis-20342	336	19	of	of	ADP
fcis-20342	336	20	the	the	DET
fcis-20342	336	21	chinese	chinese	ADJ
fcis-20342	336	22	affective	affective	ADJ
fcis-20342	336	23	picture	picture	NOUN
fcis-20342	336	24	system	system	NOUN
fcis-20342	336	25	a	a	DET
fcis-20342	336	26	trial	trial	NOUN
fcis-20342	336	27	among	among	ADP
fcis-20342	336	28	46	46	NUM
fcis-20342	336	29	chinese	chinese	ADJ
fcis-20342	336	30	college	college	NOUN
fcis-20342	336	31	students	student	NOUN
fcis-20342	336	32	,	,	PUNCT
fcis-20342	336	33	"	"	PUNCT
fcis-20342	336	34	chinese	chinese	ADJ
fcis-20342	336	35	journal	journal	NOUN
fcis-20342	336	36	of	of	ADP
fcis-20342	336	37	mental	mental	ADJ
fcis-20342	336	38	health	health	NOUN
fcis-20342	336	39	,	,	PUNCT
fcis-20342	336	40	vol	vol	NOUN
fcis-20342	336	41	.	.	PROPN
fcis-20342	336	42	19	19	NUM
fcis-20342	336	43	,	,	PUNCT
fcis-20342	336	44	no	no	INTJ
fcis-20342	336	45	.	.	NOUN
fcis-20342	336	46	11	11	NUM
fcis-20342	336	47	,	,	PUNCT
fcis-20342	336	48	pp	pp	ADJ
fcis-20342	336	49	.	.	PUNCT
fcis-20342	337	1	719	719	NUM
fcis-20342	337	2	-	-	SYM
fcis-20342	337	3	722	722	NUM
fcis-20342	337	4	,	,	PUNCT
fcis-20342	337	5	2005	2005	NUM
fcis-20342	337	6	.	.	PUNCT
fcis-20342	338	1	[	[	X
fcis-20342	338	2	38	38	NUM
fcis-20342	338	3	]	]	X
fcis-20342	338	4	liu	liu	PROPN
fcis-20342	338	5	xiaonan	xiaonan	PROPN
fcis-20342	338	6	,	,	PUNCT
fcis-20342	338	7	xu	xu	PROPN
fcis-20342	338	8	aoxiang	aoxiang	PROPN
fcis-20342	338	9	,	,	PUNCT
fcis-20342	338	10	zhou	zhou	PROPN
fcis-20342	338	11	renlai	renlai	PROPN
fcis-20342	338	12	,	,	PUNCT
fcis-20342	338	13	"	"	PUNCT
fcis-20342	338	14	a	a	DET
fcis-20342	338	15	localized	localized	ADJ
fcis-20342	338	16	study	study	NOUN
fcis-20342	338	17	of	of	ADP
fcis-20342	338	18	the	the	DET
fcis-20342	338	19	international	international	ADJ
fcis-20342	338	20	affective	affective	ADJ
fcis-20342	338	21	picture	picture	NOUN
fcis-20342	338	22	system	system	NOUN
fcis-20342	338	23	:	:	PUNCT
fcis-20342	338	24	a	a	DET
fcis-20342	338	25	rating	rating	NOUN
fcis-20342	338	26	in	in	ADP
fcis-20342	338	27	a	a	DET
fcis-20342	338	28	chinese	chinese	ADJ
fcis-20342	338	29	college	college	NOUN
fcis-20342	338	30	student	student	NOUN
fcis-20342	338	31	population	population	NOUN
fcis-20342	338	32	,	,	PUNCT
fcis-20342	338	33	"	"	PUNCT
fcis-20342	338	34	chinese	chinese	ADJ
fcis-20342	338	35	journal	journal	NOUN
fcis-20342	338	36	of	of	ADP
fcis-20342	338	37	clinical	clinical	ADJ
fcis-20342	338	38	psychology	psychology	NOUN
fcis-20342	338	39	,	,	PUNCT
fcis-20342	338	40	2009(6	2009(6	NUM
fcis-20342	338	41	)	)	PUNCT
fcis-20342	338	42	,	,	PUNCT
fcis-20342	338	43	pp	pp	ADJ
fcis-20342	338	44	.	.	PUNCT
fcis-20342	339	1	4	4	X
fcis-20342	339	2	.	.	PUNCT
fcis-20342	340	1	[	[	X
fcis-20342	340	2	39	39	NUM
fcis-20342	340	3	]	]	PUNCT
fcis-20342	340	4	a.	a.	NOUN
fcis-20342	340	5	marchewka	marchewka	NOUN
fcis-20342	340	6	,	,	PUNCT
fcis-20342	340	7	ł	ł	PROPN
fcis-20342	340	8	.	.	PROPN
fcis-20342	340	9	żurawski	żurawski	PROPN
fcis-20342	340	10	,	,	PUNCT
fcis-20342	340	11	k.	k.	PROPN
fcis-20342	340	12	jednoróg	jednoróg	PROPN
fcis-20342	340	13	,	,	PUNCT
fcis-20342	340	14	et	et	PROPN
fcis-20342	340	15	al	al	PROPN
fcis-20342	340	16	.	.	PROPN
fcis-20342	340	17	,	,	PUNCT
fcis-20342	340	18	"	"	PUNCT
fcis-20342	340	19	the	the	DET
fcis-20342	340	20	nencki	nencki	ADJ
fcis-20342	340	21	affective	affective	ADJ
fcis-20342	340	22	picture	picture	NOUN
fcis-20342	340	23	system	system	NOUN
fcis-20342	340	24	(	(	PUNCT
fcis-20342	340	25	naps	nap	NOUN
fcis-20342	340	26	):	):	PUNCT
fcis-20342	340	27	introduction	introduction	NOUN
fcis-20342	340	28	to	to	ADP
fcis-20342	340	29	a	a	DET
fcis-20342	340	30	novel	novel	NOUN
fcis-20342	340	31	,	,	PUNCT
fcis-20342	340	32	standardized	standardized	ADJ
fcis-20342	340	33	,	,	PUNCT
fcis-20342	340	34	wide	wide	ADJ
fcis-20342	340	35	-	-	PUNCT
fcis-20342	340	36	range	range	NOUN
fcis-20342	340	37	,	,	PUNCT
fcis-20342	340	38	high	high	ADJ
fcis-20342	340	39	-	-	PUNCT
fcis-20342	340	40	quality	quality	NOUN
fcis-20342	340	41	,	,	PUNCT
fcis-20342	340	42	realistic	realistic	ADJ
fcis-20342	340	43	picture	picture	NOUN
fcis-20342	340	44	database	database	NOUN
fcis-20342	340	45	,	,	PUNCT
fcis-20342	340	46	"	"	PUNCT
fcis-20342	340	47	behavior	behavior	NOUN
fcis-20342	340	48	research	research	NOUN
fcis-20342	340	49	methods	method	NOUN
fcis-20342	340	50	,	,	PUNCT
fcis-20342	340	51	vol	vol	NOUN
fcis-20342	340	52	.	.	PROPN
fcis-20342	340	53	46	46	NUM
fcis-20342	340	54	,	,	PUNCT
fcis-20342	340	55	no	no	INTJ
fcis-20342	340	56	.	.	NOUN
fcis-20342	340	57	2	2	NUM
fcis-20342	340	58	,	,	PUNCT
fcis-20342	340	59	pp	pp	ADJ
fcis-20342	340	60	.	.	PUNCT
fcis-20342	341	1	596610	596610	NUM
fcis-20342	341	2	,	,	PUNCT
fcis-20342	341	3	2014	2014	NUM
fcis-20342	341	4	.	.	PUNCT