id	sid	tid	token	lemma	pos
fcis-31919	1	1	frontiers	frontier	NOUN
fcis-31919	1	2	in	in	ADP
fcis-31919	1	3	computing	computing	NOUN
fcis-31919	1	4	and	and	CCONJ
fcis-31919	1	5	intelligent	intelligent	ADJ
fcis-31919	1	6	systems	system	NOUN
fcis-31919	1	7	issn	issn	VERB
fcis-31919	1	8	:	:	PUNCT
fcis-31919	1	9	2832	2832	NUM
fcis-31919	1	10	-	-	SYM
fcis-31919	1	11	6024	6024	NUM
fcis-31919	1	12	|	|	NOUN
fcis-31919	1	13	vol	vol	NOUN
fcis-31919	1	14	.	.	PROPN
fcis-31919	2	1	13	13	NUM
fcis-31919	2	2	,	,	PUNCT
fcis-31919	2	3	no	no	INTJ
fcis-31919	2	4	.	.	NOUN
fcis-31919	2	5	3	3	NUM
fcis-31919	2	6	,	,	PUNCT
fcis-31919	2	7	2025	2025	NUM
fcis-31919	2	8	65	65	NUM
fcis-31919	2	9	deep	deep	ADJ
fcis-31919	2	10	learning‐driven	learning‐driven	NOUN
fcis-31919	2	11	text	text	NOUN
fcis-31919	2	12	sentiment	sentiment	NOUN
fcis-31919	2	13	analysis	analysis	NOUN
fcis-31919	2	14	:	:	PUNCT
fcis-31919	2	15	research	research	NOUN
fcis-31919	2	16	progress	progress	NOUN
fcis-31919	2	17	,	,	PUNCT
fcis-31919	2	18	challenges	challenge	NOUN
fcis-31919	2	19	,	,	PUNCT
fcis-31919	2	20	and	and	CCONJ
fcis-31919	2	21	future	future	ADJ
fcis-31919	2	22	trends	trend	NOUN
fcis-31919	2	23	in	in	ADP
fcis-31919	2	24	the	the	DET
fcis-31919	2	25	past	past	ADJ
fcis-31919	2	26	five	five	NUM
fcis-31919	2	27	years	year	NOUN
fcis-31919	2	28	sirui	sirui	PROPN
fcis-31919	2	29	song	song	PROPN
fcis-31919	2	30	*	*	PUNCT
fcis-31919	2	31	school	school	NOUN
fcis-31919	2	32	of	of	ADP
fcis-31919	2	33	telecommunication	telecommunication	NOUN
fcis-31919	2	34	engineering	engineering	NOUN
fcis-31919	2	35	,	,	PUNCT
fcis-31919	2	36	xidian	xidian	PROPN
fcis-31919	2	37	university	university	PROPN
fcis-31919	2	38	,	,	PUNCT
fcis-31919	2	39	xi'an	xi'an	PROPN
fcis-31919	2	40	,	,	PUNCT
fcis-31919	2	41	shaanxi	shaanxi	PROPN
fcis-31919	2	42	,	,	PUNCT
fcis-31919	2	43	710071	710071	NUM
fcis-31919	2	44	,	,	PUNCT
fcis-31919	2	45	china	china	PROPN
fcis-31919	2	46	*	*	PUNCT
fcis-31919	2	47	corresponding	correspond	VERB
fcis-31919	2	48	author	author	NOUN
fcis-31919	2	49	email	email	NOUN
fcis-31919	2	50	:	:	PUNCT
fcis-31919	2	51	ssr263066659@163.com	ssr263066659@163.com	X
fcis-31919	2	52	abstract	abstract	NOUN
fcis-31919	2	53	:	:	PUNCT
fcis-31919	2	54	text	text	NOUN
fcis-31919	2	55	sentiment	sentiment	NOUN
fcis-31919	2	56	analysis	analysis	NOUN
fcis-31919	2	57	has	have	AUX
fcis-31919	2	58	developed	develop	VERB
fcis-31919	2	59	from	from	ADP
fcis-31919	2	60	a	a	DET
fcis-31919	2	61	single	single	ADJ
fcis-31919	2	62	text	text	NOUN
fcis-31919	2	63	classification	classification	NOUN
fcis-31919	2	64	task	task	NOUN
fcis-31919	2	65	into	into	ADP
fcis-31919	2	66	a	a	DET
fcis-31919	2	67	complex	complex	ADJ
fcis-31919	2	68	multimodal	multimodal	NOUN
fcis-31919	2	69	fusion	fusion	NOUN
fcis-31919	2	70	system	system	NOUN
fcis-31919	2	71	that	that	PRON
fcis-31919	2	72	can	can	AUX
fcis-31919	2	73	achieve	achieve	VERB
fcis-31919	2	74	cross	cross	ADJ
fcis-31919	2	75	-	-	ADJ
fcis-31919	2	76	scenario	scenario	ADJ
fcis-31919	2	77	sentiment	sentiment	NOUN
fcis-31919	2	78	understanding	understanding	NOUN
fcis-31919	2	79	with	with	ADP
fcis-31919	2	80	the	the	DET
fcis-31919	2	81	help	help	NOUN
fcis-31919	2	82	of	of	ADP
fcis-31919	2	83	deep	deep	ADJ
fcis-31919	2	84	learning	learning	NOUN
fcis-31919	2	85	technology	technology	NOUN
fcis-31919	2	86	.	.	PUNCT
fcis-31919	3	1	in	in	ADP
fcis-31919	3	2	this	this	DET
fcis-31919	3	3	article	article	NOUN
fcis-31919	3	4	,	,	PUNCT
fcis-31919	3	5	we	we	PRON
fcis-31919	3	6	will	will	AUX
fcis-31919	3	7	review	review	VERB
fcis-31919	3	8	the	the	DET
fcis-31919	3	9	cutting	cutting	NOUN
fcis-31919	3	10	-	-	PUNCT
fcis-31919	3	11	edge	edge	NOUN
fcis-31919	3	12	studies	study	NOUN
fcis-31919	3	13	from	from	ADP
fcis-31919	3	14	2020	2020	NUM
fcis-31919	3	15	to	to	ADP
fcis-31919	3	16	2025	2025	NUM
fcis-31919	3	17	on	on	ADP
fcis-31919	3	18	domain	domain	NOUN
fcis-31919	3	19	adaptation	adaptation	NOUN
fcis-31919	3	20	,	,	PUNCT
fcis-31919	3	21	low	low	ADJ
fcis-31919	3	22	-	-	PUNCT
fcis-31919	3	23	resource	resource	NOUN
fcis-31919	3	24	learning	learning	NOUN
fcis-31919	3	25	,	,	PUNCT
fcis-31919	3	26	complex	complex	ADJ
fcis-31919	3	27	semantic	semantic	ADJ
fcis-31919	3	28	modeling	modeling	NOUN
fcis-31919	3	29	,	,	PUNCT
fcis-31919	3	30	multimodal	multimodal	ADJ
fcis-31919	3	31	fusion	fusion	NOUN
fcis-31919	3	32	,	,	PUNCT
fcis-31919	3	33	and	and	CCONJ
fcis-31919	3	34	ethical	ethical	ADJ
fcis-31919	3	35	fairness	fairness	NOUN
fcis-31919	3	36	based	base	VERB
fcis-31919	3	37	on	on	ADP
fcis-31919	3	38	review	review	NOUN
fcis-31919	3	39	papers	paper	NOUN
fcis-31919	3	40	in	in	ADP
fcis-31919	3	41	leading	lead	VERB
fcis-31919	3	42	journals	journal	NOUN
fcis-31919	3	43	(	(	PUNCT
fcis-31919	3	44	e.	e.	PROPN
fcis-31919	3	45	g.	g.	PROPN
fcis-31919	3	46	,	,	PUNCT
fcis-31919	3	47	ieee	ieee	NOUN
fcis-31919	3	48	tpami	tpami	NOUN
fcis-31919	3	49	,	,	PUNCT
fcis-31919	3	50	nature	nature	NOUN
fcis-31919	3	51	)	)	PUNCT
fcis-31919	3	52	and	and	CCONJ
fcis-31919	3	53	at	at	ADP
fcis-31919	3	54	top	top	ADJ
fcis-31919	3	55	conferences	conference	NOUN
fcis-31919	3	56	(	(	PUNCT
fcis-31919	3	57	e.	e.	PROPN
fcis-31919	3	58	g.	g.	PROPN
fcis-31919	3	59	,	,	PUNCT
fcis-31919	3	60	acl	acl	PROPN
fcis-31919	3	61	,	,	PUNCT
fcis-31919	3	62	neurips	neurip	NOUN
fcis-31919	3	63	)	)	PUNCT
fcis-31919	3	64	.	.	PUNCT
fcis-31919	4	1	it	it	PRON
fcis-31919	4	2	has	have	AUX
fcis-31919	4	3	been	be	AUX
fcis-31919	4	4	found	find	VERB
fcis-31919	4	5	that	that	SCONJ
fcis-31919	4	6	the	the	DET
fcis-31919	4	7	combination	combination	NOUN
fcis-31919	4	8	of	of	ADP
fcis-31919	4	9	domain	domain	NOUN
fcis-31919	4	10	knowledge	knowledge	NOUN
fcis-31919	4	11	graphs	graph	NOUN
fcis-31919	4	12	reduces	reduce	VERB
fcis-31919	4	13	the	the	DET
fcis-31919	4	14	performance	performance	NOUN
fcis-31919	4	15	drop	drop	NOUN
fcis-31919	4	16	caused	cause	VERB
fcis-31919	4	17	by	by	ADP
fcis-31919	4	18	cross	cros	NOUN
fcis-31919	4	19	-	-	NOUN
fcis-31919	4	20	domains	domain	NOUN
fcis-31919	4	21	by	by	ADP
fcis-31919	4	22	60	60	NUM
fcis-31919	4	23	%	%	NOUN
fcis-31919	4	24	,	,	PUNCT
fcis-31919	4	25	causal	causal	ADJ
fcis-31919	4	26	reasoning	reasoning	NOUN
fcis-31919	4	27	increases	increase	VERB
fcis-31919	4	28	the	the	DET
fcis-31919	4	29	accuracy	accuracy	NOUN
fcis-31919	4	30	of	of	ADP
fcis-31919	4	31	mixed	mixed	ADJ
fcis-31919	4	32	sentiment	sentiment	NOUN
fcis-31919	4	33	disentanglement	disentanglement	NOUN
fcis-31919	4	34	by	by	ADP
fcis-31919	4	35	12.4	12.4	NUM
fcis-31919	4	36	%	%	NOUN
fcis-31919	4	37	,	,	PUNCT
fcis-31919	4	38	and	and	CCONJ
fcis-31919	4	39	multimodal	multimodal	ADJ
fcis-31919	4	40	dynamic	dynamic	ADJ
fcis-31919	4	41	alignment	alignment	NOUN
fcis-31919	4	42	improves	improve	VERB
fcis-31919	4	43	precision	precision	NOUN
fcis-31919	4	44	by	by	ADP
fcis-31919	4	45	8	8	NUM
fcis-31919	4	46	%	%	NOUN
fcis-31919	4	47	in	in	ADP
fcis-31919	4	48	conflicting	conflicting	ADJ
fcis-31919	4	49	scenarios	scenario	NOUN
fcis-31919	4	50	.	.	PUNCT
fcis-31919	5	1	this	this	DET
fcis-31919	5	2	article	article	NOUN
fcis-31919	5	3	shows	show	VERB
fcis-31919	5	4	that	that	SCONJ
fcis-31919	5	5	technological	technological	ADJ
fcis-31919	5	6	development	development	NOUN
fcis-31919	5	7	has	have	VERB
fcis-31919	5	8	a	a	DET
fcis-31919	5	9	transversal	transversal	ADJ
fcis-31919	5	10	and	and	CCONJ
fcis-31919	5	11	fused	fused	ADJ
fcis-31919	5	12	trend	trend	NOUN
fcis-31919	5	13	of	of	ADP
fcis-31919	5	14	"	"	PUNCT
fcis-31919	5	15	knowledge	knowledge	NOUN
fcis-31919	5	16	promotion	promotion	NOUN
fcis-31919	5	17	-	-	PUNCT
fcis-31919	5	18	causal	causal	NOUN
fcis-31919	5	19	modelling	modelling	NOUN
fcis-31919	5	20	-	-	PUNCT
fcis-31919	5	21	modal	modal	NOUN
fcis-31919	5	22	collaboration	collaboration	NOUN
fcis-31919	5	23	"	"	PUNCT
fcis-31919	5	24	and	and	CCONJ
fcis-31919	5	25	lightweight	lightweight	ADJ
fcis-31919	5	26	mechanism	mechanism	NOUN
fcis-31919	5	27	as	as	ADV
fcis-31919	5	28	well	well	ADV
fcis-31919	5	29	as	as	ADP
fcis-31919	5	30	fair	fair	ADJ
fcis-31919	5	31	mechanism	mechanism	NOUN
fcis-31919	5	32	are	be	AUX
fcis-31919	5	33	important	important	ADJ
fcis-31919	5	34	in	in	ADP
fcis-31919	5	35	practical	practical	ADJ
fcis-31919	5	36	engineering	engineering	NOUN
fcis-31919	5	37	implementation	implementation	NOUN
fcis-31919	5	38	.	.	PUNCT
fcis-31919	6	1	keywords	keyword	NOUN
fcis-31919	6	2	:	:	PUNCT
fcis-31919	6	3	text	text	NOUN
fcis-31919	6	4	sentiment	sentiment	NOUN
fcis-31919	6	5	analysis	analysis	NOUN
fcis-31919	6	6	;	;	PUNCT
fcis-31919	6	7	deep	deep	ADJ
fcis-31919	6	8	learning	learning	NOUN
fcis-31919	6	9	;	;	PUNCT
fcis-31919	6	10	domain	domain	NOUN
fcis-31919	6	11	adaptation	adaptation	NOUN
fcis-31919	6	12	;	;	PUNCT
fcis-31919	6	13	multimodal	multimodal	ADJ
fcis-31919	6	14	fusion	fusion	NOUN
fcis-31919	6	15	.	.	PUNCT
fcis-31919	7	1	1	1	X
fcis-31919	7	2	.	.	X
fcis-31919	7	3	introduction	introduction	NOUN
fcis-31919	7	4	text	text	NOUN
fcis-31919	7	5	sentiment	sentiment	NOUN
fcis-31919	7	6	analysis	analysis	NOUN
fcis-31919	7	7	aims	aim	VERB
fcis-31919	7	8	to	to	PART
fcis-31919	7	9	reveal	reveal	VERB
fcis-31919	7	10	public	public	ADJ
fcis-31919	7	11	opinion	opinion	NOUN
fcis-31919	7	12	and	and	CCONJ
fcis-31919	7	13	gauge	gauge	NOUN
fcis-31919	7	14	user	user	NOUN
fcis-31919	7	15	feedback	feedback	NOUN
fcis-31919	7	16	sentiment	sentiment	NOUN
fcis-31919	7	17	from	from	ADP
fcis-31919	7	18	the	the	DET
fcis-31919	7	19	words	word	NOUN
fcis-31919	7	20	they	they	PRON
fcis-31919	7	21	use	use	VERB
fcis-31919	7	22	and	and	CCONJ
fcis-31919	7	23	draws	draw	VERB
fcis-31919	7	24	decision	decision	NOUN
fcis-31919	7	25	insights	insight	NOUN
fcis-31919	7	26	through	through	ADP
fcis-31919	7	27	analysing	analyse	VERB
fcis-31919	7	28	emotional	emotional	ADJ
fcis-31919	7	29	trends	trend	NOUN
fcis-31919	7	30	;	;	PUNCT
fcis-31919	7	31	and	and	CCONJ
fcis-31919	7	32	the	the	DET
fcis-31919	7	33	development	development	NOUN
fcis-31919	7	34	of	of	ADP
fcis-31919	7	35	the	the	DET
fcis-31919	7	36	relevant	relevant	ADJ
fcis-31919	7	37	technologies	technology	NOUN
fcis-31919	7	38	depends	depend	VERB
fcis-31919	7	39	on	on	ADP
fcis-31919	7	40	the	the	DET
fcis-31919	7	41	tremendous	tremendous	ADJ
fcis-31919	7	42	advances	advance	NOUN
fcis-31919	7	43	of	of	ADP
fcis-31919	7	44	deep	deep	ADJ
fcis-31919	7	45	learning	learning	NOUN
fcis-31919	7	46	technologies	technology	NOUN
fcis-31919	7	47	.	.	PUNCT
fcis-31919	8	1	in	in	ADP
fcis-31919	8	2	the	the	DET
fcis-31919	8	3	past	past	ADJ
fcis-31919	8	4	few	few	ADJ
fcis-31919	8	5	years	year	NOUN
fcis-31919	8	6	,	,	PUNCT
fcis-31919	8	7	pre	pre	ADJ
fcis-31919	8	8	-	-	ADJ
fcis-31919	8	9	trained	train	VERB
fcis-31919	8	10	language	language	NOUN
fcis-31919	8	11	models	model	NOUN
fcis-31919	8	12	such	such	ADJ
fcis-31919	8	13	as	as	ADP
fcis-31919	8	14	bert	bert	PROPN
fcis-31919	8	15	have	have	AUX
fcis-31919	8	16	reached	reach	VERB
fcis-31919	8	17	more	more	ADJ
fcis-31919	8	18	than	than	ADP
fcis-31919	8	19	90	90	NUM
fcis-31919	8	20	percent	percent	NOUN
fcis-31919	8	21	accuracy	accuracy	NOUN
fcis-31919	8	22	in	in	ADP
fcis-31919	8	23	sentiment	sentiment	NOUN
fcis-31919	8	24	classification	classification	NOUN
fcis-31919	8	25	[	[	X
fcis-31919	8	26	1	1	NUM
fcis-31919	8	27	]	]	PUNCT
fcis-31919	8	28	.	.	PUNCT
fcis-31919	9	1	however	however	ADV
fcis-31919	9	2	,	,	PUNCT
fcis-31919	9	3	three	three	NUM
fcis-31919	9	4	major	major	ADJ
fcis-31919	9	5	difficulties	difficulty	NOUN
fcis-31919	9	6	remain	remain	VERB
fcis-31919	9	7	as	as	SCONJ
fcis-31919	9	8	practical	practical	ADJ
fcis-31919	9	9	applications	application	NOUN
fcis-31919	9	10	move	move	VERB
fcis-31919	9	11	forward	forward	ADV
fcis-31919	9	12	:	:	PUNCT
fcis-31919	9	13	firstly	firstly	ADV
fcis-31919	9	14	,	,	PUNCT
fcis-31919	9	15	variations	variation	NOUN
fcis-31919	9	16	in	in	ADP
fcis-31919	9	17	cross	cross	ADJ
fcis-31919	9	18	-	-	ADJ
fcis-31919	9	19	domain	domain	ADJ
fcis-31919	9	20	training	training	NOUN
fcis-31919	9	21	data	datum	NOUN
fcis-31919	9	22	distributions	distribution	NOUN
fcis-31919	9	23	degrade	degrade	VERB
fcis-31919	9	24	the	the	DET
fcis-31919	9	25	performance	performance	NOUN
fcis-31919	9	26	by	by	ADP
fcis-31919	9	27	more	more	ADJ
fcis-31919	9	28	than	than	ADP
fcis-31919	9	29	10	10	NUM
fcis-31919	9	30	%	%	NOUN
fcis-31919	9	31	;	;	PUNCT
fcis-31919	9	32	secondly	secondly	ADV
fcis-31919	9	33	,	,	PUNCT
fcis-31919	9	34	the	the	DET
fcis-31919	9	35	accuracy	accuracy	NOUN
fcis-31919	9	36	of	of	ADP
fcis-31919	9	37	distinguishing	distinguish	VERB
fcis-31919	9	38	semantics	semantic	NOUN
fcis-31919	9	39	such	such	ADJ
fcis-31919	9	40	as	as	ADP
fcis-31919	9	41	irony	irony	NOUN
fcis-31919	9	42	and	and	CCONJ
fcis-31919	9	43	metaphors	metaphor	NOUN
fcis-31919	9	44	falls	fall	VERB
fcis-31919	9	45	short	short	ADV
fcis-31919	9	46	of	of	ADP
fcis-31919	9	47	human	human	ADJ
fcis-31919	9	48	-	-	PUNCT
fcis-31919	9	49	level	level	NOUN
fcis-31919	9	50	capacity	capacity	NOUN
fcis-31919	9	51	by	by	ADP
fcis-31919	9	52	23	23	NUM
fcis-31919	9	53	%	%	NOUN
fcis-31919	9	54	,	,	PUNCT
fcis-31919	9	55	and	and	CCONJ
fcis-31919	9	56	thirdly	thirdly	ADV
fcis-31919	9	57	,	,	PUNCT
fcis-31919	9	58	divergences	divergence	NOUN
fcis-31919	9	59	of	of	ADP
fcis-31919	9	60	multiple	multiple	ADJ
fcis-31919	9	61	modes	mode	NOUN
fcis-31919	9	62	(	(	PUNCT
fcis-31919	9	63	text	text	NOUN
fcis-31919	9	64	+	+	CCONJ
fcis-31919	9	65	image	image	NOUN
fcis-31919	9	66	+	+	CCONJ
fcis-31919	9	67	audio	audio	NOUN
fcis-31919	9	68	)	)	PUNCT
fcis-31919	9	69	reduce	reduce	VERB
fcis-31919	9	70	their	their	PRON
fcis-31919	9	71	accuracy	accuracy	NOUN
fcis-31919	9	72	by	by	ADP
fcis-31919	9	73	15	15	NUM
fcis-31919	9	74	-	-	SYM
fcis-31919	9	75	20	20	NUM
fcis-31919	9	76	%	%	NOUN
fcis-31919	9	77	respectively	respectively	ADV
fcis-31919	9	78	[	[	X
fcis-31919	9	79	2	2	NUM
fcis-31919	9	80	-	-	SYM
fcis-31919	9	81	4	4	NUM
fcis-31919	9	82	]	]	PUNCT
fcis-31919	9	83	.	.	PUNCT
fcis-31919	10	1	since	since	SCONJ
fcis-31919	10	2	2020	2020	NUM
fcis-31919	10	3	,	,	PUNCT
fcis-31919	10	4	with	with	ADP
fcis-31919	10	5	intensive	intensive	ADJ
fcis-31919	10	6	exploration	exploration	NOUN
fcis-31919	10	7	conducted	conduct	VERB
fcis-31919	10	8	by	by	ADP
fcis-31919	10	9	academia	academia	NOUN
fcis-31919	10	10	,	,	PUNCT
fcis-31919	10	11	the	the	DET
fcis-31919	10	12	eaaf	eaaf	NOUN
fcis-31919	10	13	has	have	AUX
fcis-31919	10	14	quantified	quantify	VERB
fcis-31919	10	15	the	the	DET
fcis-31919	10	16	reliability	reliability	NOUN
fcis-31919	10	17	of	of	ADP
fcis-31919	10	18	domain	domain	NOUN
fcis-31919	10	19	knowledge	knowledge	NOUN
fcis-31919	10	20	,	,	PUNCT
fcis-31919	10	21	cutting	cut	VERB
fcis-31919	10	22	the	the	DET
fcis-31919	10	23	cross	cross	ADJ
fcis-31919	10	24	-	-	ADJ
fcis-31919	10	25	domain	domain	ADJ
fcis-31919	10	26	performance	performance	NOUN
fcis-31919	10	27	gap	gap	NOUN
fcis-31919	10	28	between	between	ADP
fcis-31919	10	29	medical	medical	ADJ
fcis-31919	10	30	and	and	CCONJ
fcis-31919	10	31	e	e	NOUN
fcis-31919	10	32	-	-	NOUN
fcis-31919	10	33	commerce	commerce	NOUN
fcis-31919	10	34	areas	area	NOUN
fcis-31919	10	35	down	down	ADV
fcis-31919	10	36	from	from	ADP
fcis-31919	10	37	10	10	NUM
fcis-31919	10	38	%	%	NOUN
fcis-31919	10	39	to	to	ADP
fcis-31919	10	40	4.2	4.2	NUM
fcis-31919	10	41	%	%	NOUN
fcis-31919	10	42	,	,	PUNCT
fcis-31919	10	43	whereas	whereas	SCONJ
fcis-31919	10	44	the	the	DET
fcis-31919	10	45	accuracy	accuracy	NOUN
fcis-31919	10	46	of	of	ADP
fcis-31919	10	47	irony	irony	NOUN
fcis-31919	10	48	recognition	recognition	NOUN
fcis-31919	10	49	with	with	ADP
fcis-31919	10	50	structured	structured	ADJ
fcis-31919	10	51	sentiment	sentiment	NOUN
fcis-31919	10	52	analysis	analysis	NOUN
fcis-31919	10	53	model	model	NOUN
fcis-31919	10	54	exceeds	exceed	VERB
fcis-31919	10	55	75	75	NUM
fcis-31919	10	56	%	%	NOUN
fcis-31919	10	57	[	[	X
fcis-31919	10	58	5,6	5,6	NUM
fcis-31919	10	59	]	]	PUNCT
fcis-31919	10	60	.	.	PUNCT
fcis-31919	11	1	in	in	ADP
fcis-31919	11	2	an	an	DET
fcis-31919	11	3	environment	environment	NOUN
fcis-31919	11	4	where	where	SCONJ
fcis-31919	11	5	'	'	PUNCT
fcis-31919	11	6	text	text	NOUN
fcis-31919	11	7	is	be	AUX
fcis-31919	11	8	happy	happy	ADJ
fcis-31919	11	9	and	and	CCONJ
fcis-31919	11	10	images	image	NOUN
fcis-31919	11	11	cry	cry	VERB
fcis-31919	11	12	'	'	PUNCT
fcis-31919	11	13	,	,	PUNCT
fcis-31919	11	14	camf	camf	NOUN
fcis-31919	11	15	enhances	enhance	VERB
fcis-31919	11	16	accuracy	accuracy	NOUN
fcis-31919	11	17	up	up	ADP
fcis-31919	11	18	to	to	PART
fcis-31919	11	19	8	8	NUM
fcis-31919	11	20	%	%	NOUN
fcis-31919	11	21	,	,	PUNCT
fcis-31919	11	22	but	but	CCONJ
fcis-31919	11	23	there	there	PRON
fcis-31919	11	24	remains	remain	VERB
fcis-31919	11	25	room	room	NOUN
fcis-31919	11	26	for	for	ADP
fcis-31919	11	27	further	far	ADV
fcis-31919	11	28	improving	improve	VERB
fcis-31919	11	29	the	the	DET
fcis-31919	11	30	domain	domain	NOUN
fcis-31919	11	31	specific	specific	ADJ
fcis-31919	11	32	semantic	semantic	ADJ
fcis-31919	11	33	rules	rule	NOUN
fcis-31919	11	34	,	,	PUNCT
fcis-31919	11	35	tackling	tackle	VERB
fcis-31919	11	36	the	the	DET
fcis-31919	11	37	limited	limited	ADJ
fcis-31919	11	38	data	datum	NOUN
fcis-31919	11	39	augmentation	augmentation	NOUN
fcis-31919	11	40	efficiency	efficiency	NOUN
fcis-31919	11	41	in	in	ADP
fcis-31919	11	42	low	low	ADJ
fcis-31919	11	43	resource	resource	NOUN
fcis-31919	11	44	scenarios	scenario	NOUN
fcis-31919	11	45	and	and	CCONJ
fcis-31919	11	46	simplifying	simplify	VERB
fcis-31919	11	47	the	the	DET
fcis-31919	11	48	modelization	modelization	NOUN
fcis-31919	11	49	of	of	ADP
fcis-31919	11	50	the	the	DET
fcis-31919	11	51	multivariate	multivariate	NOUN
fcis-31919	11	52	relationship	relationship	NOUN
fcis-31919	11	53	[	[	X
fcis-31919	11	54	7	7	NUM
fcis-31919	11	55	]	]	PUNCT
fcis-31919	11	56	.	.	PUNCT
fcis-31919	12	1	based	base	VERB
fcis-31919	12	2	on	on	ADP
fcis-31919	12	3	previous	previous	ADJ
fcis-31919	12	4	achievements	achievement	NOUN
fcis-31919	12	5	,	,	PUNCT
fcis-31919	12	6	this	this	DET
fcis-31919	12	7	paper	paper	NOUN
fcis-31919	12	8	systematically	systematically	ADV
fcis-31919	12	9	analyses	analyse	VERB
fcis-31919	12	10	and	and	CCONJ
fcis-31919	12	11	sorts	sort	NOUN
fcis-31919	12	12	out	out	ADP
fcis-31919	12	13	existing	exist	VERB
fcis-31919	12	14	research	research	NOUN
fcis-31919	12	15	technology	technology	NOUN
fcis-31919	12	16	statuses	status	NOUN
fcis-31919	12	17	and	and	CCONJ
fcis-31919	12	18	breakthrough	breakthrough	NOUN
fcis-31919	12	19	ways	way	NOUN
fcis-31919	12	20	to	to	PART
fcis-31919	12	21	solve	solve	VERB
fcis-31919	12	22	current	current	ADJ
fcis-31919	12	23	problems	problem	NOUN
fcis-31919	12	24	,	,	PUNCT
fcis-31919	12	25	offering	offer	VERB
fcis-31919	12	26	necessary	necessary	ADJ
fcis-31919	12	27	theoretical	theoretical	ADJ
fcis-31919	12	28	evidence	evidence	NOUN
fcis-31919	12	29	for	for	ADP
fcis-31919	12	30	academic	academic	ADJ
fcis-31919	12	31	research	research	NOUN
fcis-31919	12	32	.	.	PUNCT
fcis-31919	13	1	2	2	X
fcis-31919	13	2	.	.	X
fcis-31919	13	3	research	research	NOUN
fcis-31919	13	4	status	status	NOUN
fcis-31919	13	5	domain	domain	NOUN
fcis-31919	13	6	adaptation	adaptation	NOUN
fcis-31919	13	7	focuses	focus	VERB
fcis-31919	13	8	on	on	ADP
fcis-31919	13	9	resolving	resolve	VERB
fcis-31919	13	10	model	model	NOUN
fcis-31919	13	11	generalization	generalization	NOUN
fcis-31919	13	12	bottlenecks	bottleneck	NOUN
fcis-31919	13	13	by	by	ADP
fcis-31919	13	14	narrowing	narrow	VERB
fcis-31919	13	15	down	down	ADP
fcis-31919	13	16	semantic	semantic	ADJ
fcis-31919	13	17	distribution	distribution	NOUN
fcis-31919	13	18	differences	difference	NOUN
fcis-31919	13	19	between	between	ADP
fcis-31919	13	20	the	the	DET
fcis-31919	13	21	source	source	NOUN
fcis-31919	13	22	and	and	CCONJ
fcis-31919	13	23	target	target	NOUN
fcis-31919	13	24	domains	domain	NOUN
fcis-31919	13	25	.	.	PUNCT
fcis-31919	14	1	traditional	traditional	ADJ
fcis-31919	14	2	methods	method	NOUN
fcis-31919	14	3	(	(	PUNCT
fcis-31919	14	4	domain	domain	VERB
fcis-31919	14	5	adversarial	adversarial	ADJ
fcis-31919	14	6	learning	learning	NOUN
fcis-31919	14	7	)	)	PUNCT
fcis-31919	14	8	are	be	AUX
fcis-31919	14	9	only	only	ADV
fcis-31919	14	10	concerned	concern	VERB
fcis-31919	14	11	with	with	ADP
fcis-31919	14	12	feature	feature	NOUN
fcis-31919	14	13	distributions	distribution	NOUN
fcis-31919	14	14	,	,	PUNCT
fcis-31919	14	15	but	but	CCONJ
fcis-31919	14	16	more	more	ADV
fcis-31919	14	17	recently	recently	ADV
fcis-31919	14	18	researchers	researcher	NOUN
fcis-31919	14	19	have	have	AUX
fcis-31919	14	20	started	start	VERB
fcis-31919	14	21	focusing	focus	VERB
fcis-31919	14	22	on	on	ADP
fcis-31919	14	23	"	"	PUNCT
fcis-31919	14	24	knowledge	knowledge	NOUN
fcis-31919	14	25	enhancement	enhancement	NOUN
fcis-31919	14	26	+	+	CCONJ
fcis-31919	14	27	dynamic	dynamic	ADJ
fcis-31919	14	28	adaptation	adaptation	NOUN
fcis-31919	14	29	"	"	PUNCT
fcis-31919	14	30	way	way	NOUN
fcis-31919	14	31	of	of	ADP
fcis-31919	14	32	thinking	thinking	NOUN
fcis-31919	14	33	[	[	X
fcis-31919	14	34	8	8	NUM
fcis-31919	14	35	]	]	PUNCT
fcis-31919	14	36	.	.	PUNCT
fcis-31919	15	1	in	in	ADP
fcis-31919	15	2	the	the	DET
fcis-31919	15	3	2024	2024	NUM
fcis-31919	15	4	acl	acl	PROPN
fcis-31919	15	5	work	work	NOUN
fcis-31919	15	6	,	,	PUNCT
fcis-31919	15	7	legal	legal	ADJ
fcis-31919	15	8	term	term	NOUN
fcis-31919	15	9	knowledge	knowledge	NOUN
fcis-31919	15	10	graphs	graph	NOUN
fcis-31919	15	11	were	be	AUX
fcis-31919	15	12	combined	combine	VERB
fcis-31919	15	13	with	with	ADP
fcis-31919	15	14	pretrained	pretraine	VERB
fcis-31919	15	15	models	model	NOUN
fcis-31919	15	16	to	to	PART
fcis-31919	15	17	find	find	VERB
fcis-31919	15	18	domain	domain	NOUN
fcis-31919	15	19	-	-	PUNCT
fcis-31919	15	20	specific	specific	ADJ
fcis-31919	15	21	phrases	phrase	NOUN
fcis-31919	15	22	like	like	ADP
fcis-31919	15	23	"	"	PUNCT
fcis-31919	15	24	valid	valid	ADJ
fcis-31919	15	25	defence	defence	NOUN
fcis-31919	15	26	"	"	PUNCT
fcis-31919	15	27	,	,	PUNCT
fcis-31919	15	28	using	use	VERB
fcis-31919	15	29	entity	entity	NOUN
fcis-31919	15	30	linking	link	VERB
fcis-31919	15	31	to	to	PART
fcis-31919	15	32	enhance	enhance	VERB
fcis-31919	15	33	the	the	DET
fcis-31919	15	34	identification	identification	NOUN
fcis-31919	15	35	of	of	ADP
fcis-31919	15	36	related	related	ADJ
fcis-31919	15	37	concepts	concept	NOUN
fcis-31919	15	38	with	with	ADP
fcis-31919	15	39	improved	improved	ADJ
fcis-31919	15	40	legal	legal	ADJ
fcis-31919	15	41	text	text	NOUN
fcis-31919	15	42	sentiment	sentiment	NOUN
fcis-31919	15	43	classification	classification	NOUN
fcis-31919	15	44	performances	performance	NOUN
fcis-31919	15	45	[	[	X
fcis-31919	15	46	9	9	NUM
fcis-31919	15	47	]	]	PUNCT
fcis-31919	15	48	.	.	PUNCT
fcis-31919	16	1	the	the	DET
fcis-31919	16	2	eaaf	eaaf	NOUN
fcis-31919	16	3	framework	framework	NOUN
fcis-31919	16	4	introduced	introduce	VERB
fcis-31919	16	5	in	in	ADP
fcis-31919	16	6	ieee	ieee	NOUN
fcis-31919	16	7	tpami	tpami	ADJ
fcis-31919	16	8	2024	2024	NUM
fcis-31919	16	9	successfully	successfully	ADV
fcis-31919	16	10	quantifies	quantify	VERB
fcis-31919	16	11	"	"	PUNCT
fcis-31919	16	12	evidential	evidential	ADJ
fcis-31919	16	13	uncertainty	uncertainty	NOUN
fcis-31919	16	14	"	"	PUNCT
fcis-31919	16	15	that	that	PRON
fcis-31919	16	16	discriminates	discriminate	VERB
fcis-31919	16	17	between	between	ADP
fcis-31919	16	18	the	the	DET
fcis-31919	16	19	credibility	credibility	NOUN
fcis-31919	16	20	of	of	ADP
fcis-31919	16	21	different	different	ADJ
fcis-31919	16	22	sources	source	NOUN
fcis-31919	16	23	of	of	ADP
fcis-31919	16	24	knowledge	knowledge	NOUN
fcis-31919	16	25	from	from	ADP
fcis-31919	16	26	the	the	DET
fcis-31919	16	27	source	source	NOUN
fcis-31919	16	28	domain	domain	NOUN
fcis-31919	16	29	,	,	PUNCT
fcis-31919	16	30	which	which	PRON
fcis-31919	16	31	improves	improve	VERB
fcis-31919	16	32	performance	performance	NOUN
fcis-31919	16	33	by	by	ADP
fcis-31919	16	34	about	about	ADV
fcis-31919	16	35	60	60	NUM
fcis-31919	16	36	%	%	NOUN
fcis-31919	16	37	in	in	ADP
fcis-31919	16	38	multi	multi	ADJ
fcis-31919	16	39	-	-	ADJ
fcis-31919	16	40	source	source	ADJ
fcis-31919	16	41	unsupervised	unsupervised	ADJ
fcis-31919	16	42	settings	setting	NOUN
fcis-31919	16	43	[	[	X
fcis-31919	16	44	5	5	NUM
fcis-31919	16	45	]	]	PUNCT
fcis-31919	16	46	.	.	PUNCT
fcis-31919	17	1	diffusion	diffusion	NOUN
fcis-31919	17	2	models	model	NOUN
fcis-31919	17	3	serve	serve	VERB
fcis-31919	17	4	as	as	ADP
fcis-31919	17	5	an	an	DET
fcis-31919	17	6	important	important	ADJ
fcis-31919	17	7	data	datum	NOUN
fcis-31919	17	8	augmentation	augmentation	NOUN
fcis-31919	17	9	tool	tool	NOUN
fcis-31919	17	10	in	in	ADP
fcis-31919	17	11	low	low	ADJ
fcis-31919	17	12	-	-	PUNCT
fcis-31919	17	13	resource	resource	NOUN
fcis-31919	17	14	scenario	scenario	NOUN
fcis-31919	17	15	as	as	ADV
fcis-31919	17	16	well	well	ADV
fcis-31919	17	17	.	.	PUNCT
fcis-31919	18	1	the	the	DET
fcis-31919	18	2	proposed	propose	VERB
fcis-31919	18	3	diffusion	diffusion	NOUN
fcis-31919	18	4	-	-	PUNCT
fcis-31919	18	5	cls	cls	NOUN
fcis-31919	18	6	at	at	ADP
fcis-31919	18	7	emnlp	emnlp	ADJ
fcis-31919	18	8	2024	2024	NUM
fcis-31919	18	9	generates	generate	VERB
fcis-31919	18	10	domain	domain	NOUN
fcis-31919	18	11	-	-	PUNCT
fcis-31919	18	12	adapted	adapt	VERB
fcis-31919	18	13	texts	text	NOUN
fcis-31919	18	14	through	through	ADP
fcis-31919	18	15	a	a	DET
fcis-31919	18	16	conditional	conditional	ADJ
fcis-31919	18	17	diffusion	diffusion	NOUN
fcis-31919	18	18	process	process	NOUN
fcis-31919	18	19	,	,	PUNCT
fcis-31919	18	20	increasing	increase	VERB
fcis-31919	18	21	the	the	DET
fcis-31919	18	22	f1	f1	ADJ
fcis-31919	18	23	score	score	NOUN
fcis-31919	18	24	on	on	ADP
fcis-31919	18	25	the	the	DET
fcis-31919	18	26	arabic	arabic	ADJ
fcis-31919	18	27	lowresource	lowresource	PROPN
fcis-31919	18	28	reviews	review	NOUN
fcis-31919	18	29	dataset	dataset	VERB
fcis-31919	18	30	by	by	ADP
fcis-31919	18	31	9.7	9.7	NUM
fcis-31919	18	32	%	%	NOUN
fcis-31919	18	33	and	and	CCONJ
fcis-31919	18	34	achieving	achieve	VERB
fcis-31919	18	35	89.2	89.2	NUM
fcis-31919	18	36	%	%	NOUN
fcis-31919	18	37	emotional	emotional	ADJ
fcis-31919	18	38	consistency	consistency	NOUN
fcis-31919	18	39	[	[	X
fcis-31919	18	40	10	10	NUM
fcis-31919	18	41	]	]	PUNCT
fcis-31919	18	42	.	.	PUNCT
fcis-31919	19	1	the	the	DET
fcis-31919	19	2	integration	integration	NOUN
fcis-31919	19	3	of	of	ADP
fcis-31919	19	4	meta	meta	ADV
fcis-31919	19	5	-	-	PUNCT
fcis-31919	19	6	learning	learn	VERB
fcis-31919	19	7	and	and	CCONJ
fcis-31919	19	8	prompting	prompt	VERB
fcis-31919	19	9	models	model	NOUN
fcis-31919	19	10	improves	improve	VERB
fcis-31919	19	11	performance	performance	NOUN
fcis-31919	19	12	in	in	ADP
fcis-31919	19	13	few	few	ADJ
fcis-31919	19	14	-	-	PUNCT
fcis-31919	19	15	shot	shot	NOUN
fcis-31919	19	16	cross	cross	ADJ
fcis-31919	19	17	-	-	ADJ
fcis-31919	19	18	domain	domain	ADJ
fcis-31919	19	19	sentiment	sentiment	NOUN
fcis-31919	19	20	analysis	analysis	NOUN
fcis-31919	19	21	tasks	task	NOUN
fcis-31919	19	22	[	[	X
fcis-31919	19	23	11	11	NUM
fcis-31919	19	24	]	]	PUNCT
fcis-31919	19	25	.	.	PUNCT
fcis-31919	20	1	significant	significant	ADJ
fcis-31919	20	2	gains	gain	NOUN
fcis-31919	20	3	are	be	AUX
fcis-31919	20	4	shown	show	VERB
fcis-31919	20	5	in	in	ADP
fcis-31919	20	6	terms	term	NOUN
fcis-31919	20	7	of	of	ADP
fcis-31919	20	8	differences	difference	NOUN
fcis-31919	20	9	in	in	ADP
fcis-31919	20	10	domain	domain	NOUN
fcis-31919	20	11	terminologies	terminology	NOUN
fcis-31919	20	12	in	in	ADP
fcis-31919	20	13	big	big	ADJ
fcis-31919	20	14	terms	term	NOUN
fcis-31919	20	15	such	such	ADJ
fcis-31919	20	16	as	as	ADP
fcis-31919	20	17	technologies	technology	NOUN
fcis-31919	20	18	and	and	CCONJ
fcis-31919	20	19	agro	agro	NOUN
fcis-31919	20	20	-	-	PUNCT
fcis-31919	20	21	based	base	VERB
fcis-31919	20	22	fields	field	NOUN
fcis-31919	20	23	.	.	PUNCT
fcis-31919	21	1	breakthroughs	breakthrough	NOUN
fcis-31919	21	2	on	on	ADP
fcis-31919	21	3	complex	complex	ADJ
fcis-31919	21	4	semantic	semantic	ADJ
fcis-31919	21	5	understanding	understanding	NOUN
fcis-31919	21	6	relies	rely	VERB
fcis-31919	21	7	on	on	ADP
fcis-31919	21	8	moving	move	VERB
fcis-31919	21	9	from	from	ADP
fcis-31919	21	10	"	"	PUNCT
fcis-31919	21	11	surface	surface	NOUN
fcis-31919	21	12	feature	feature	NOUN
fcis-31919	21	13	matching	matching	NOUN
fcis-31919	21	14	"	"	PUNCT
fcis-31919	21	15	to	to	ADP
fcis-31919	21	16	"	"	PUNCT
fcis-31919	21	17	deep	deep	ADJ
fcis-31919	21	18	logical	logical	ADJ
fcis-31919	21	19	modelling	modelling	NOUN
fcis-31919	21	20	"	"	PUNCT
fcis-31919	21	21	irony	irony	NOUN
fcis-31919	21	22	recognition	recognition	NOUN
fcis-31919	21	23	latent	latent	NOUN
fcis-31919	21	24	dependency	dependency	NOUN
fcis-31919	21	25	graph	graph	NOUN
fcis-31919	21	26	parsing	parse	VERB
fcis-31919	21	27	model	model	NOUN
fcis-31919	21	28	captures	capture	NOUN
fcis-31919	21	29	"	"	PUNCT
fcis-31919	21	30	conflict	conflict	NOUN
fcis-31919	21	31	between	between	ADP
fcis-31919	21	32	the	the	DET
fcis-31919	21	33	value	value	NOUN
fcis-31919	21	34	judgment	judgment	NOUN
fcis-31919	21	35	and	and	CCONJ
fcis-31919	21	36	facts	fact	NOUN
fcis-31919	21	37	"	"	PUNCT
fcis-31919	21	38	(	(	PUNCT
fcis-31919	21	39	for	for	ADP
fcis-31919	21	40	example	example	NOUN
fcis-31919	21	41	,	,	PUNCT
fcis-31919	21	42	the	the	DET
fcis-31919	21	43	evaluation	evaluation	NOUN
fcis-31919	21	44	of	of	ADP
fcis-31919	21	45	"	"	PUNCT
fcis-31919	21	46	genius	genius	NOUN
fcis-31919	21	47	"	"	PUNCT
fcis-31919	21	48	and	and	CCONJ
fcis-31919	21	49	the	the	DET
fcis-31919	21	50	negative	negative	ADJ
fcis-31919	21	51	context	context	NOUN
fcis-31919	21	52	)	)	PUNCT
fcis-31919	21	53	from	from	ADP
fcis-31919	21	54	acl	acl	PROPN
fcis-31919	21	55	2024	2024	NUM
fcis-31919	21	56	,	,	PUNCT
fcis-31919	21	57	improving	improve	VERB
fcis-31919	21	58	the	the	DET
fcis-31919	21	59	accuracy	accuracy	NOUN
fcis-31919	21	60	from	from	ADP
fcis-31919	21	61	68.5	68.5	NUM
fcis-31919	21	62	%	%	NOUN
fcis-31919	21	63	to	to	ADP
fcis-31919	21	64	75.3	75.3	NUM
fcis-31919	21	65	%	%	NOUN
fcis-31919	21	66	,	,	PUNCT
fcis-31919	21	67	but	but	CCONJ
fcis-31919	21	68	still	still	ADV
fcis-31919	21	69	needs	need	VERB
fcis-31919	21	70	to	to	PART
fcis-31919	21	71	adopt	adopt	VERB
fcis-31919	21	72	manually	manually	ADV
fcis-31919	21	73	annotated	annotate	VERB
fcis-31919	21	74	local	local	ADJ
fcis-31919	21	75	structure	structure	NOUN
fcis-31919	21	76	[	[	X
fcis-31919	21	77	6].mixed	6].mixed	NUM
fcis-31919	21	78	sentiment	sentiment	NOUN
fcis-31919	21	79	disentanglement	disentanglement	NOUN
fcis-31919	21	80	took	take	VERB
fcis-31919	21	81	advantage	advantage	NOUN
fcis-31919	21	82	of	of	ADP
fcis-31919	21	83	causal	causal	ADJ
fcis-31919	21	84	reasoning	reasoning	NOUN
fcis-31919	21	85	,	,	PUNCT
fcis-31919	21	86	as	as	SCONJ
fcis-31919	21	87	causal	causal	ADJ
fcis-31919	21	88	graphs	graph	NOUN
fcis-31919	21	89	could	could	AUX
fcis-31919	21	90	distinguish	distinguish	VERB
fcis-31919	21	91	the	the	DET
fcis-31919	21	92	"	"	PUNCT
fcis-31919	21	93	direct	direct	ADJ
fcis-31919	21	94	emotional	emotional	ADJ
fcis-31919	21	95	causes	cause	NOUN
fcis-31919	21	96	,	,	PUNCT
fcis-31919	21	97	"	"	PUNCT
fcis-31919	21	98	such	such	ADJ
fcis-31919	21	99	as	as	ADP
fcis-31919	21	100	"	"	PUNCT
fcis-31919	21	101	the	the	DET
fcis-31919	21	102	high	high	ADJ
fcis-31919	21	103	price	price	NOUN
fcis-31919	21	104	"	"	PUNCT
fcis-31919	21	105	inferring	infer	VERB
fcis-31919	21	106	bad	bad	ADJ
fcis-31919	21	107	cost	cost	NOUN
fcis-31919	21	108	performance	performance	NOUN
fcis-31919	21	109	,	,	PUNCT
fcis-31919	21	110	from	from	ADP
fcis-31919	21	111	66	66	NUM
fcis-31919	21	112	"	"	PUNCT
fcis-31919	21	113	indirect	indirect	ADJ
fcis-31919	21	114	associations	association	NOUN
fcis-31919	21	115	,	,	PUNCT
fcis-31919	21	116	"	"	PUNCT
fcis-31919	21	117	such	such	ADJ
fcis-31919	21	118	as	as	ADP
fcis-31919	21	119	brand	brand	NOUN
fcis-31919	21	120	effect	effect	NOUN
fcis-31919	21	121	,	,	PUNCT
fcis-31919	21	122	for	for	ADP
fcis-31919	21	123	instance	instance	NOUN
fcis-31919	21	124	,	,	PUNCT
fcis-31919	21	125	leading	lead	VERB
fcis-31919	21	126	to	to	ADP
fcis-31919	21	127	improved	improve	VERB
fcis-31919	21	128	text	text	NOUN
fcis-31919	21	129	separation	separation	NOUN
fcis-31919	21	130	between	between	ADP
fcis-31919	21	131	mixed	mixed	ADJ
fcis-31919	21	132	sentiment	sentiment	NOUN
fcis-31919	21	133	like	like	ADP
fcis-31919	21	134	"	"	PUNCT
fcis-31919	21	135	expensive	expensive	ADJ
fcis-31919	21	136	but	but	CCONJ
fcis-31919	21	137	worthwhile	worthwhile	ADJ
fcis-31919	21	138	"	"	PUNCT
fcis-31919	21	139	and	and	CCONJ
fcis-31919	21	140	12.4	12.4	NUM
fcis-31919	21	141	%	%	NOUN
fcis-31919	21	142	higher	high	ADJ
fcis-31919	21	143	disentanglement	disentanglement	NOUN
fcis-31919	21	144	accuracy	accuracy	NOUN
fcis-31919	21	145	on	on	ADP
fcis-31919	21	146	text	text	NOUN
fcis-31919	21	147	such	such	ADJ
fcis-31919	21	148	as	as	ADP
fcis-31919	21	149	"	"	PUNCT
fcis-31919	21	150	expensive	expensive	ADJ
fcis-31919	21	151	but	but	CCONJ
fcis-31919	21	152	worthwhile	worthwhile	ADJ
fcis-31919	21	153	"	"	PUNCT
fcis-31919	22	1	[	[	X
fcis-31919	22	2	12	12	NUM
fcis-31919	22	3	]	]	PUNCT
fcis-31919	22	4	.	.	PUNCT
fcis-31919	23	1	the	the	DET
fcis-31919	23	2	hierarchical	hierarchical	ADJ
fcis-31919	23	3	model	model	NOUN
fcis-31919	23	4	(	(	PUNCT
fcis-31919	23	5	hiersenti	hiersenti	NOUN
fcis-31919	23	6	)	)	PUNCT
fcis-31919	23	7	can	can	AUX
fcis-31919	23	8	achieve	achieve	VERB
fcis-31919	23	9	81.6	81.6	NUM
fcis-31919	23	10	%	%	NOUN
fcis-31919	23	11	on	on	ADP
fcis-31919	23	12	mixed	mixed	ADJ
fcis-31919	23	13	sentiment	sentiment	NOUN
fcis-31919	23	14	recognition	recognition	NOUN
fcis-31919	23	15	from	from	ADP
fcis-31919	23	16	long	long	ADJ
fcis-31919	23	17	movie	movie	NOUN
fcis-31919	23	18	reviews	review	NOUN
fcis-31919	23	19	using	use	VERB
fcis-31919	23	20	"	"	PUNCT
fcis-31919	23	21	word	word	NOUN
fcis-31919	23	22	-	-	PUNCT
fcis-31919	23	23	sentence	sentence	NOUN
fcis-31919	23	24	-	-	PUNCT
fcis-31919	23	25	discourse	discourse	NOUN
fcis-31919	23	26	"	"	PUNCT
fcis-31919	23	27	three	three	NUM
fcis-31919	23	28	level	level	NOUN
fcis-31919	23	29	attention	attention	NOUN
fcis-31919	23	30	,	,	PUNCT
fcis-31919	23	31	which	which	PRON
fcis-31919	23	32	is	be	AUX
fcis-31919	23	33	higher	high	ADJ
fcis-31919	23	34	than	than	ADP
fcis-31919	23	35	traditional	traditional	ADJ
fcis-31919	23	36	models	model	NOUN
fcis-31919	23	37	by	by	ADP
fcis-31919	23	38	7.2	7.2	NUM
fcis-31919	23	39	%	%	NOUN
fcis-31919	23	40	[	[	X
fcis-31919	23	41	13	13	NUM
fcis-31919	23	42	]	]	PUNCT
fcis-31919	23	43	.	.	PUNCT
fcis-31919	24	1	furthermore	furthermore	ADV
fcis-31919	24	2	,	,	PUNCT
fcis-31919	24	3	a	a	DET
fcis-31919	24	4	new	new	ADJ
fcis-31919	24	5	finding	finding	NOUN
fcis-31919	24	6	was	be	AUX
fcis-31919	24	7	that	that	DET
fcis-31919	24	8	big	big	ADJ
fcis-31919	24	9	models	model	NOUN
fcis-31919	24	10	with	with	ADP
fcis-31919	24	11	more	more	ADJ
fcis-31919	24	12	than	than	ADP
fcis-31919	24	13	100b	100b	NUM
fcis-31919	24	14	parameters	parameter	NOUN
fcis-31919	24	15	are	be	AUX
fcis-31919	24	16	worse	bad	ADJ
fcis-31919	24	17	performing	perform	VERB
fcis-31919	24	18	on	on	ADP
fcis-31919	24	19	some	some	DET
fcis-31919	24	20	complex	complex	ADJ
fcis-31919	24	21	semantic	semantic	ADJ
fcis-31919	24	22	tasks	task	NOUN
fcis-31919	24	23	.	.	PUNCT
fcis-31919	25	1	such	such	DET
fcis-31919	25	2	a	a	DET
fcis-31919	25	3	result	result	NOUN
fcis-31919	25	4	can	can	AUX
fcis-31919	25	5	be	be	AUX
fcis-31919	25	6	seen	see	VERB
fcis-31919	25	7	in	in	ADP
fcis-31919	25	8	irony	irony	NOUN
fcis-31919	25	9	recognition	recognition	NOUN
fcis-31919	25	10	.	.	PUNCT
fcis-31919	26	1	a	a	DET
fcis-31919	26	2	larger	large	ADJ
fcis-31919	26	3	model	model	NOUN
fcis-31919	26	4	with	with	ADP
fcis-31919	26	5	more	more	ADJ
fcis-31919	26	6	than	than	ADP
fcis-31919	26	7	100b	100b	NUM
fcis-31919	26	8	parameters	parameter	NOUN
fcis-31919	26	9	leads	lead	VERB
fcis-31919	26	10	to	to	ADP
fcis-31919	26	11	lower	low	ADJ
fcis-31919	26	12	accuracy	accuracy	NOUN
fcis-31919	26	13	in	in	ADP
fcis-31919	26	14	irony	irony	NOUN
fcis-31919	26	15	recognition	recognition	NOUN
fcis-31919	26	16	(	(	PUNCT
fcis-31919	26	17	5.8	5.8	NUM
fcis-31919	26	18	%	%	NOUN
fcis-31919	26	19	)	)	PUNCT
fcis-31919	26	20	compared	compare	VERB
fcis-31919	26	21	to	to	ADP
fcis-31919	26	22	a	a	DET
fcis-31919	26	23	small	small	ADJ
fcis-31919	26	24	model	model	NOUN
fcis-31919	26	25	of	of	ADP
fcis-31919	26	26	7b	7b	PROPN
fcis-31919	26	27	parameters	parameter	NOUN
fcis-31919	26	28	,	,	PUNCT
fcis-31919	26	29	which	which	PRON
fcis-31919	26	30	implies	imply	VERB
fcis-31919	26	31	that	that	SCONJ
fcis-31919	26	32	the	the	DET
fcis-31919	26	33	scale	scale	NOUN
fcis-31919	26	34	of	of	ADP
fcis-31919	26	35	semantic	semantic	ADJ
fcis-31919	26	36	understanding	understanding	NOUN
fcis-31919	26	37	is	be	AUX
fcis-31919	26	38	not	not	PART
fcis-31919	26	39	always	always	ADV
fcis-31919	26	40	tied	tie	VERB
fcis-31919	26	41	to	to	ADP
fcis-31919	26	42	the	the	DET
fcis-31919	26	43	magnitude	magnitude	NOUN
fcis-31919	26	44	of	of	ADP
fcis-31919	26	45	parameters	parameter	NOUN
fcis-31919	26	46	[	[	X
fcis-31919	26	47	3	3	NUM
fcis-31919	26	48	]	]	PUNCT
fcis-31919	26	49	.	.	PUNCT
fcis-31919	27	1	multimodal	multimodal	ADJ
fcis-31919	27	2	fusion	fusion	NOUN
fcis-31919	27	3	’s	’s	PART
fcis-31919	27	4	key	key	ADJ
fcis-31919	27	5	problem	problem	NOUN
fcis-31919	27	6	is	be	AUX
fcis-31919	27	7	handling	handle	VERB
fcis-31919	27	8	and	and	CCONJ
fcis-31919	27	9	integrating	integrate	VERB
fcis-31919	27	10	different	different	ADJ
fcis-31919	27	11	types	type	NOUN
fcis-31919	27	12	of	of	ADP
fcis-31919	27	13	data	datum	NOUN
fcis-31919	27	14	heterogeneity	heterogeneity	NOUN
fcis-31919	27	15	and	and	CCONJ
fcis-31919	27	16	dynamic	dynamic	ADJ
fcis-31919	27	17	correlations	correlation	NOUN
fcis-31919	27	18	across	across	ADP
fcis-31919	27	19	text	text	NOUN
fcis-31919	27	20	,	,	PUNCT
fcis-31919	27	21	image	image	NOUN
fcis-31919	27	22	and	and	CCONJ
fcis-31919	27	23	audio	audio	NOUN
fcis-31919	27	24	.	.	PUNCT
fcis-31919	28	1	in	in	ADP
fcis-31919	28	2	order	order	NOUN
fcis-31919	28	3	to	to	PART
fcis-31919	28	4	capture	capture	VERB
fcis-31919	28	5	the	the	DET
fcis-31919	28	6	temporal	temporal	ADJ
fcis-31919	28	7	correlation	correlation	NOUN
fcis-31919	28	8	such	such	ADJ
fcis-31919	28	9	as	as	ADP
fcis-31919	28	10	"	"	PUNCT
fcis-31919	28	11	emotional	emotional	ADJ
fcis-31919	28	12	enhancement	enhancement	NOUN
fcis-31919	28	13	of	of	ADP
fcis-31919	28	14	the	the	DET
fcis-31919	28	15	text	text	NOUN
fcis-31919	28	16	‘	'	PUNCT
fcis-31919	28	17	funny	funny	ADJ
fcis-31919	28	18	’	'	PUNCT
fcis-31919	28	19	two	two	NUM
fcis-31919	28	20	seconds	second	NOUN
fcis-31919	28	21	after	after	SCONJ
fcis-31919	28	22	laughter	laughter	NOUN
fcis-31919	28	23	appears	appear	VERB
fcis-31919	28	24	"	"	PUNCT
fcis-31919	28	25	the	the	DET
fcis-31919	28	26	camf	camf	NOUN
fcis-31919	28	27	(	(	PUNCT
fcis-31919	28	28	cross	cross	ADJ
fcis-31919	28	29	-	-	ADJ
fcis-31919	28	30	attention	attention	ADJ
fcis-31919	28	31	multi	multi	ADJ
fcis-31919	28	32	-	-	ADJ
fcis-31919	28	33	layer	layer	NOUN
fcis-31919	28	34	fusion	fusion	NOUN
fcis-31919	28	35	module	module	NOUN
fcis-31919	28	36	)	)	PUNCT
fcis-31919	28	37	proposed	propose	VERB
fcis-31919	28	38	in	in	ADP
fcis-31919	28	39	rcbevdet	rcbevdet	NOUN
fcis-31919	28	40	at	at	ADP
fcis-31919	28	41	cvpr	cvpr	NOUN
fcis-31919	28	42	2024	2024	NUM
fcis-31919	28	43	can	can	AUX
fcis-31919	28	44	attain	attain	VERB
fcis-31919	28	45	the	the	DET
fcis-31919	28	46	multimodal	multimodal	ADJ
fcis-31919	28	47	conflicting	conflict	VERB
fcis-31919	28	48	scenario	scenario	NOUN
fcis-31919	28	49	improvement	improvement	NOUN
fcis-31919	28	50	up	up	ADP
fcis-31919	28	51	to	to	PART
fcis-31919	28	52	8	8	NUM
fcis-31919	28	53	%	%	NOUN
fcis-31919	28	54	.	.	PUNCT
fcis-31919	29	1	mjp	mjp	PROPN
fcis-31919	29	2	-	-	PUNCT
fcis-31919	29	3	frm	frm	PROPN
fcis-31919	29	4	-	-	PUNCT
fcis-31919	29	5	fds	fds	NOUN
fcis-31919	29	6	in	in	ADP
fcis-31919	29	7	eccv	eccv	ADJ
fcis-31919	29	8	2024	2024	NUM
fcis-31919	29	9	solves	solve	VERB
fcis-31919	29	10	the	the	DET
fcis-31919	29	11	problem	problem	NOUN
fcis-31919	29	12	of	of	ADP
fcis-31919	29	13	missing	miss	VERB
fcis-31919	29	14	modality	modality	NOUN
fcis-31919	29	15	with	with	ADP
fcis-31919	29	16	the	the	DET
fcis-31919	29	17	generative	generative	ADJ
fcis-31919	29	18	modeling	modeling	NOUN
fcis-31919	29	19	by	by	ADP
fcis-31919	29	20	making	make	VERB
fcis-31919	29	21	up	up	ADP
fcis-31919	29	22	for	for	ADP
fcis-31919	29	23	the	the	DET
fcis-31919	29	24	missing	miss	VERB
fcis-31919	29	25	modality	modality	NOUN
fcis-31919	29	26	's	's	PART
fcis-31919	29	27	information	information	NOUN
fcis-31919	29	28	as	as	SCONJ
fcis-31919	29	29	text	text	NOUN
fcis-31919	29	30	"	"	PUNCT
fcis-31919	29	31	angry	angry	ADJ
fcis-31919	29	32	"	"	PUNCT
fcis-31919	29	33	generate	generate	VERB
fcis-31919	29	34	corresponding	corresponding	ADJ
fcis-31919	29	35	expression	expression	NOUN
fcis-31919	29	36	features	feature	NOUN
fcis-31919	29	37	,	,	PUNCT
fcis-31919	29	38	maintaining	maintain	VERB
fcis-31919	29	39	a	a	DET
fcis-31919	29	40	high	high	ADJ
fcis-31919	29	41	accuracy	accuracy	NOUN
fcis-31919	29	42	retention	retention	NOUN
fcis-31919	29	43	rate	rate	NOUN
fcis-31919	29	44	(	(	PUNCT
fcis-31919	29	45	92	92	NUM
fcis-31919	29	46	%	%	NOUN
fcis-31919	29	47	)	)	PUNCT
fcis-31919	29	48	of	of	ADP
fcis-31919	29	49	15	15	NUM
fcis-31919	29	50	%	%	NOUN
fcis-31919	29	51	higher	high	ADJ
fcis-31919	29	52	than	than	ADP
fcis-31919	29	53	the	the	DET
fcis-31919	29	54	traditional	traditional	ADJ
fcis-31919	29	55	method	method	NOUN
fcis-31919	29	56	for	for	ADP
fcis-31919	29	57	missing	miss	VERB
fcis-31919	29	58	modalities	modality	NOUN
fcis-31919	29	59	[	[	X
fcis-31919	29	60	14	14	NUM
fcis-31919	29	61	]	]	PUNCT
fcis-31919	29	62	.	.	PUNCT
fcis-31919	30	1	besides	besides	SCONJ
fcis-31919	30	2	,	,	PUNCT
fcis-31919	30	3	the	the	DET
fcis-31919	30	4	light	light	ADJ
fcis-31919	30	5	-	-	PUNCT
fcis-31919	30	6	weight	weight	NOUN
fcis-31919	30	7	technology	technology	NOUN
fcis-31919	30	8	in	in	ADP
fcis-31919	30	9	practical	practical	ADJ
fcis-31919	30	10	engineering	engineering	NOUN
fcis-31919	30	11	solves	solve	NOUN
fcis-31919	30	12	this	this	DET
fcis-31919	30	13	issue	issue	NOUN
fcis-31919	30	14	through	through	ADP
fcis-31919	30	15	knowledge	knowledge	NOUN
fcis-31919	30	16	distillation	distillation	NOUN
fcis-31919	30	17	-	-	PUNCT
fcis-31919	30	18	based	base	VERB
fcis-31919	30	19	lightweight	lightweight	ADJ
fcis-31919	30	20	methods	method	NOUN
fcis-31919	30	21	reduce	reduce	VERB
fcis-31919	30	22	multimodal	multimodal	NOUN
fcis-31919	30	23	model	model	NOUN
fcis-31919	30	24	parameters	parameter	NOUN
fcis-31919	30	25	while	while	SCONJ
fcis-31919	30	26	maintaining	maintain	VERB
fcis-31919	30	27	acceptable	acceptable	ADJ
fcis-31919	30	28	accuracy	accuracy	NOUN
fcis-31919	30	29	,	,	PUNCT
fcis-31919	30	30	with	with	ADP
fcis-31919	30	31	inference	inference	NOUN
fcis-31919	30	32	speed	speed	NOUN
fcis-31919	30	33	improvements	improvement	NOUN
fcis-31919	30	34	;	;	PUNCT
fcis-31919	30	35	while	while	SCONJ
fcis-31919	30	36	causal	causal	ADJ
fcis-31919	30	37	structure	structure	NOUN
fcis-31919	30	38	learning	learn	VERB
fcis-31919	30	39	explicitly	explicitly	ADV
fcis-31919	30	40	models	model	VERB
fcis-31919	30	41	the	the	DET
fcis-31919	30	42	relationships	relationship	NOUN
fcis-31919	30	43	between	between	ADP
fcis-31919	30	44	sentiment	sentiment	NOUN
fcis-31919	30	45	factors	factor	NOUN
fcis-31919	30	46	(	(	PUNCT
fcis-31919	30	47	e.g.	e.g.	ADV
fcis-31919	30	48	,	,	PUNCT
fcis-31919	30	49	aspects	aspect	NOUN
fcis-31919	30	50	and	and	CCONJ
fcis-31919	30	51	emotions	emotion	NOUN
fcis-31919	30	52	)	)	PUNCT
fcis-31919	30	53	,	,	PUNCT
fcis-31919	30	54	supporting	support	VERB
fcis-31919	30	55	more	more	ADV
fcis-31919	30	56	interpretable	interpretable	ADJ
fcis-31919	30	57	sentiment	sentiment	NOUN
fcis-31919	30	58	analysis.[15,16	analysis.[15,16	ADJ
fcis-31919	30	59	]	]	PUNCT
fcis-31919	30	60	.	.	PUNCT
fcis-31919	31	1	ethics	ethic	NOUN
fcis-31919	31	2	and	and	CCONJ
fcis-31919	31	3	interpretability	interpretability	NOUN
fcis-31919	31	4	requirements	requirement	NOUN
fcis-31919	31	5	have	have	AUX
fcis-31919	31	6	been	be	AUX
fcis-31919	31	7	mandatory	mandatory	ADJ
fcis-31919	31	8	criteria	criterion	NOUN
fcis-31919	31	9	for	for	ADP
fcis-31919	31	10	any	any	DET
fcis-31919	31	11	type	type	NOUN
fcis-31919	31	12	of	of	ADP
fcis-31919	31	13	new	new	ADJ
fcis-31919	31	14	technology	technology	NOUN
fcis-31919	31	15	set	set	VERB
fcis-31919	31	16	up	up	ADP
fcis-31919	31	17	.	.	PUNCT
fcis-31919	32	1	according	accord	VERB
fcis-31919	32	2	to	to	ADP
fcis-31919	32	3	neurips	neurip	NOUN
fcis-31919	32	4	2024	2024	NUM
fcis-31919	32	5	,	,	PUNCT
fcis-31919	32	6	there	there	PRON
fcis-31919	32	7	is	be	VERB
fcis-31919	32	8	an	an	DET
fcis-31919	32	9	18	18	NUM
fcis-31919	32	10	%	%	NOUN
fcis-31919	32	11	higher	high	ADJ
fcis-31919	32	12	negative	negative	ADJ
fcis-31919	32	13	prediction	prediction	NOUN
fcis-31919	32	14	rate	rate	NOUN
fcis-31919	32	15	of	of	ADP
fcis-31919	32	16	women	woman	NOUN
fcis-31919	32	17	-	-	PUNCT
fcis-31919	32	18	related	relate	VERB
fcis-31919	32	19	texts	text	NOUN
fcis-31919	32	20	as	as	ADP
fcis-31919	32	21	"	"	PUNCT
fcis-31919	32	22	female	female	ADJ
fcis-31919	32	23	programmer	programmer	NOUN
fcis-31919	32	24	"	"	PUNCT
fcis-31919	32	25	,	,	PUNCT
fcis-31919	32	26	as	as	ADV
fcis-31919	32	27	well	well	ADV
fcis-31919	32	28	as	as	ADP
fcis-31919	32	29	a	a	DET
fcis-31919	32	30	9	9	NUM
fcis-31919	32	31	%	%	NOUN
fcis-31919	32	32	lower	low	ADJ
fcis-31919	32	33	positive	positive	ADJ
fcis-31919	32	34	recognition	recognition	NOUN
fcis-31919	32	35	rate	rate	NOUN
fcis-31919	32	36	towards	towards	ADP
fcis-31919	32	37	the	the	DET
fcis-31919	32	38	review	review	NOUN
fcis-31919	32	39	of	of	ADP
fcis-31919	32	40	rural	rural	ADJ
fcis-31919	32	41	areas	area	NOUN
fcis-31919	32	42	compared	compare	VERB
fcis-31919	32	43	to	to	ADP
fcis-31919	32	44	cities	city	NOUN
fcis-31919	32	45	[	[	X
fcis-31919	32	46	17	17	NUM
fcis-31919	32	47	]	]	PUNCT
fcis-31919	32	48	.	.	PUNCT
fcis-31919	33	1	in	in	ADP
fcis-31919	33	2	reply	reply	NOUN
fcis-31919	33	3	to	to	ADP
fcis-31919	33	4	this	this	DET
fcis-31919	33	5	issue	issue	NOUN
fcis-31919	33	6	,	,	PUNCT
fcis-31919	33	7	using	use	VERB
fcis-31919	33	8	maxmin	maxmin	NOUN
fcis-31919	33	9	-	-	PUNCT
fcis-31919	33	10	rlhf	rlhf	NOUN
fcis-31919	33	11	framework	framework	NOUN
fcis-31919	33	12	(	(	PUNCT
fcis-31919	33	13	icml	icml	NOUN
fcis-31919	33	14	2024	2024	NUM
fcis-31919	33	15	)	)	PUNCT
fcis-31919	33	16	,	,	PUNCT
fcis-31919	33	17	the	the	DET
fcis-31919	33	18	overall	overall	ADJ
fcis-31919	33	19	performance	performance	NOUN
fcis-31919	33	20	has	have	AUX
fcis-31919	33	21	kept	keep	VERB
fcis-31919	33	22	the	the	DET
fcis-31919	33	23	same	same	ADJ
fcis-31919	33	24	status	status	NOUN
fcis-31919	33	25	,	,	PUNCT
fcis-31919	33	26	but	but	CCONJ
fcis-31919	33	27	the	the	DET
fcis-31919	33	28	minority	minority	NOUN
fcis-31919	33	29	group	group	NOUN
fcis-31919	33	30	sentiment	sentiment	NOUN
fcis-31919	33	31	recognition	recognition	NOUN
fcis-31919	33	32	accuracy	accuracy	NOUN
fcis-31919	33	33	can	can	AUX
fcis-31919	33	34	be	be	AUX
fcis-31919	33	35	improved	improve	VERB
fcis-31919	33	36	by	by	ADP
fcis-31919	33	37	33	33	NUM
fcis-31919	33	38	%	%	NOUN
fcis-31919	33	39	,	,	PUNCT
fcis-31919	33	40	which	which	PRON
fcis-31919	33	41	is	be	AUX
fcis-31919	33	42	accomplished	accomplish	VERB
fcis-31919	33	43	by	by	ADP
fcis-31919	33	44	utilizing	utilize	VERB
fcis-31919	33	45	the	the	DET
fcis-31919	33	46	diversified	diversify	VERB
fcis-31919	33	47	preference	preference	NOUN
fcis-31919	33	48	distribution	distribution	NOUN
fcis-31919	33	49	to	to	PART
fcis-31919	33	50	reach	reach	VERB
fcis-31919	33	51	a	a	DET
fcis-31919	33	52	good	good	ADJ
fcis-31919	33	53	balance	balance	NOUN
fcis-31919	33	54	between	between	ADP
fcis-31919	33	55	different	different	ADJ
fcis-31919	33	56	sentiments	sentiment	NOUN
fcis-31919	33	57	;	;	PUNCT
fcis-31919	33	58	concerning	concern	VERB
fcis-31919	33	59	interpretability	interpretability	NOUN
fcis-31919	33	60	,	,	PUNCT
fcis-31919	33	61	hierarchical	hierarchical	ADJ
fcis-31919	33	62	attention	attention	NOUN
fcis-31919	33	63	mechanisms	mechanism	NOUN
fcis-31919	33	64	enhance	enhance	VERB
fcis-31919	33	65	the	the	DET
fcis-31919	33	66	modeling	modeling	NOUN
fcis-31919	33	67	of	of	ADP
fcis-31919	33	68	long	long	ADJ
fcis-31919	33	69	-	-	PUNCT
fcis-31919	33	70	text	text	NOUN
fcis-31919	33	71	sentiment	sentiment	NOUN
fcis-31919	33	72	by	by	ADP
fcis-31919	33	73	focusing	focus	VERB
fcis-31919	33	74	on	on	ADP
fcis-31919	33	75	key	key	ADJ
fcis-31919	33	76	words	word	NOUN
fcis-31919	33	77	and	and	CCONJ
fcis-31919	33	78	sentences	sentence	NOUN
fcis-31919	33	79	,	,	PUNCT
fcis-31919	33	80	improving	improve	VERB
fcis-31919	33	81	the	the	DET
fcis-31919	33	82	interpretability	interpretability	NOUN
fcis-31919	33	83	of	of	ADP
fcis-31919	33	84	emotion	emotion	NOUN
fcis-31919	33	85	decision	decision	NOUN
fcis-31919	33	86	-	-	PUNCT
fcis-31919	33	87	making	making	NOUN
fcis-31919	33	88	[	[	X
fcis-31919	33	89	13,18	13,18	NUM
fcis-31919	33	90	]	]	PUNCT
fcis-31919	33	91	.	.	PUNCT
fcis-31919	34	1	in	in	ADP
fcis-31919	34	2	the	the	DET
fcis-31919	34	3	domain	domain	NOUN
fcis-31919	34	4	of	of	ADP
fcis-31919	34	5	privacy	privacy	NOUN
fcis-31919	34	6	protection	protection	NOUN
fcis-31919	34	7	,	,	PUNCT
fcis-31919	34	8	through	through	ADP
fcis-31919	34	9	utilization	utilization	NOUN
fcis-31919	34	10	of	of	ADP
fcis-31919	34	11	federated	federated	ADJ
fcis-31919	34	12	learning	learning	NOUN
fcis-31919	34	13	,	,	PUNCT
fcis-31919	34	14	federated	federate	VERB
fcis-31919	34	15	learning	learning	NOUN
fcis-31919	34	16	frameworks	framework	NOUN
fcis-31919	34	17	enable	enable	VERB
fcis-31919	34	18	cross	cross	ADJ
fcis-31919	34	19	-	-	ADJ
fcis-31919	34	20	device	device	ADJ
fcis-31919	34	21	collaborative	collaborative	ADJ
fcis-31919	34	22	training	training	NOUN
fcis-31919	34	23	for	for	ADP
fcis-31919	34	24	sentiment	sentiment	NOUN
fcis-31919	34	25	analysis	analysis	NOUN
fcis-31919	34	26	while	while	SCONJ
fcis-31919	34	27	protecting	protect	VERB
fcis-31919	34	28	data	data	NOUN
fcis-31919	34	29	privacy	privacy	NOUN
fcis-31919	34	30	,	,	PUNCT
fcis-31919	34	31	with	with	ADP
fcis-31919	34	32	reduced	reduced	ADJ
fcis-31919	34	33	risks	risk	NOUN
fcis-31919	34	34	of	of	ADP
fcis-31919	34	35	information	information	NOUN
fcis-31919	34	36	leakage	leakage	NOUN
fcis-31919	34	37	[	[	X
fcis-31919	34	38	19	19	NUM
fcis-31919	34	39	]	]	PUNCT
fcis-31919	34	40	.	.	PUNCT
fcis-31919	35	1	based	base	VERB
fcis-31919	35	2	on	on	ADP
fcis-31919	35	3	the	the	DET
fcis-31919	35	4	trend	trend	NOUN
fcis-31919	35	5	in	in	ADP
fcis-31919	35	6	technology	technology	NOUN
fcis-31919	35	7	,	,	PUNCT
fcis-31919	35	8	we	we	PRON
fcis-31919	35	9	can	can	AUX
fcis-31919	35	10	see	see	VERB
fcis-31919	35	11	cross	cross	ADJ
fcis-31919	35	12	-	-	NOUN
fcis-31919	35	13	fusion	fusion	NOUN
fcis-31919	35	14	such	such	ADJ
fcis-31919	35	15	as	as	ADP
fcis-31919	35	16	domain	domain	NOUN
fcis-31919	35	17	adaptation	adaptation	NOUN
fcis-31919	35	18	and	and	CCONJ
fcis-31919	35	19	knowledge	knowledge	NOUN
fcis-31919	35	20	graph	graph	NOUN
fcis-31919	35	21	(	(	PUNCT
fcis-31919	35	22	e.	e.	PROPN
fcis-31919	35	23	g.	g.	PROPN
fcis-31919	35	24	,	,	PUNCT
fcis-31919	35	25	legal	legal	ADJ
fcis-31919	35	26	term	term	NOUN
fcis-31919	35	27	association	association	NOUN
fcis-31919	35	28	rules	rule	NOUN
fcis-31919	35	29	)	)	PUNCT
fcis-31919	35	30	,	,	PUNCT
fcis-31919	35	31	complex	complex	ADJ
fcis-31919	35	32	semantic	semantic	ADJ
fcis-31919	35	33	modeling	modeling	NOUN
fcis-31919	35	34	introduces	introduce	NOUN
fcis-31919	35	35	causal	causal	ADJ
fcis-31919	35	36	reasoning	reasoning	NOUN
fcis-31919	35	37	(	(	PUNCT
fcis-31919	35	38	e.	e.	PROPN
fcis-31919	35	39	g.	g.	PROPN
fcis-31919	35	40	,	,	PUNCT
fcis-31919	35	41	mixed	mixed	ADJ
fcis-31919	35	42	sentiment	sentiment	NOUN
fcis-31919	35	43	disentanglement	disentanglement	NOUN
fcis-31919	35	44	)	)	PUNCT
fcis-31919	35	45	,	,	PUNCT
fcis-31919	35	46	and	and	CCONJ
fcis-31919	35	47	multimodal	multimodal	NOUN
fcis-31919	35	48	fusion	fusion	NOUN
fcis-31919	35	49	works	work	VERB
fcis-31919	35	50	well	well	ADV
fcis-31919	35	51	with	with	ADP
fcis-31919	35	52	generative	generative	ADJ
fcis-31919	35	53	modeling	modeling	NOUN
fcis-31919	35	54	(	(	PUNCT
fcis-31919	35	55	e.	e.	PROPN
fcis-31919	35	56	g.	g.	PROPN
fcis-31919	35	57	,	,	PUNCT
fcis-31919	35	58	modal	modal	ADJ
fcis-31919	35	59	completion	completion	NOUN
fcis-31919	35	60	)	)	PUNCT
fcis-31919	35	61	;	;	PUNCT
fcis-31919	35	62	and	and	CCONJ
fcis-31919	35	63	lightweight	lightweight	ADJ
fcis-31919	35	64	techniques	technique	NOUN
fcis-31919	35	65	,	,	PUNCT
fcis-31919	35	66	for	for	ADP
fcis-31919	35	67	example	example	NOUN
fcis-31919	35	68	,	,	PUNCT
fcis-31919	35	69	structured	structured	ADJ
fcis-31919	35	70	pruning	pruning	NOUN
fcis-31919	35	71	,	,	PUNCT
fcis-31919	35	72	along	along	ADP
fcis-31919	35	73	with	with	ADP
fcis-31919	35	74	domain	domain	NOUN
fcis-31919	35	75	adaptation	adaptation	NOUN
fcis-31919	35	76	methods	method	NOUN
fcis-31919	35	77	such	such	ADJ
fcis-31919	35	78	as	as	ADP
fcis-31919	35	79	adversarial	adversarial	ADJ
fcis-31919	35	80	training	training	NOUN
fcis-31919	35	81	,	,	PUNCT
fcis-31919	35	82	will	will	AUX
fcis-31919	35	83	help	help	VERB
fcis-31919	35	84	shift	shift	VERB
fcis-31919	35	85	sentiment	sentiment	NOUN
fcis-31919	35	86	analysis	analysis	NOUN
fcis-31919	35	87	from	from	ADP
fcis-31919	35	88	the	the	DET
fcis-31919	35	89	labs	lab	NOUN
fcis-31919	35	90	into	into	ADP
fcis-31919	35	91	real	real	ADJ
fcis-31919	35	92	-	-	PUNCT
fcis-31919	35	93	world	world	NOUN
fcis-31919	35	94	applications	application	NOUN
fcis-31919	35	95	[	[	X
fcis-31919	35	96	20,21	20,21	NUM
fcis-31919	35	97	]	]	PUNCT
fcis-31919	35	98	.	.	PUNCT
fcis-31919	36	1	3	3	X
fcis-31919	36	2	.	.	X
fcis-31919	36	3	existing	exist	VERB
fcis-31919	36	4	challenges	challenge	NOUN
fcis-31919	36	5	the	the	DET
fcis-31919	36	6	current	current	ADJ
fcis-31919	36	7	technological	technological	ADJ
fcis-31919	36	8	bottlenecks	bottleneck	NOUN
fcis-31919	36	9	in	in	ADP
fcis-31919	36	10	text	text	NOUN
fcis-31919	36	11	sentiment	sentiment	NOUN
fcis-31919	36	12	analysis	analysis	NOUN
fcis-31919	36	13	essentially	essentially	ADV
fcis-31919	36	14	reflect	reflect	VERB
fcis-31919	36	15	the	the	DET
fcis-31919	36	16	mismatch	mismatch	NOUN
fcis-31919	36	17	between	between	ADP
fcis-31919	36	18	"	"	PUNCT
fcis-31919	36	19	model	model	NOUN
fcis-31919	36	20	capabilities	capability	NOUN
fcis-31919	36	21	and	and	CCONJ
fcis-31919	36	22	real	real	ADJ
fcis-31919	36	23	-	-	PUNCT
fcis-31919	36	24	world	world	NOUN
fcis-31919	36	25	scenario	scenario	NOUN
fcis-31919	36	26	requirements	requirement	NOUN
fcis-31919	36	27	,	,	PUNCT
fcis-31919	36	28	"	"	PUNCT
fcis-31919	36	29	specifically	specifically	ADV
fcis-31919	36	30	manifested	manifest	VERB
fcis-31919	36	31	in	in	ADP
fcis-31919	36	32	four	four	NUM
fcis-31919	36	33	sets	set	NOUN
fcis-31919	36	34	of	of	ADP
fcis-31919	36	35	core	core	NOUN
fcis-31919	36	36	contradictions	contradiction	NOUN
fcis-31919	36	37	:	:	PUNCT
fcis-31919	36	38	the	the	DET
fcis-31919	36	39	deep	deep	ADV
fcis-31919	36	40	-	-	PUNCT
fcis-31919	36	41	seated	seat	VERB
fcis-31919	36	42	obstacles	obstacle	NOUN
fcis-31919	36	43	in	in	ADP
fcis-31919	36	44	domain	domain	NOUN
fcis-31919	36	45	generalization	generalization	NOUN
fcis-31919	36	46	lie	lie	VERB
fcis-31919	36	47	not	not	PART
fcis-31919	36	48	only	only	ADV
fcis-31919	36	49	in	in	ADP
fcis-31919	36	50	feature	feature	NOUN
fcis-31919	36	51	distribution	distribution	NOUN
fcis-31919	36	52	differences	difference	NOUN
fcis-31919	36	53	but	but	CCONJ
fcis-31919	36	54	also	also	ADV
fcis-31919	36	55	in	in	ADP
fcis-31919	36	56	the	the	DET
fcis-31919	36	57	difficulty	difficulty	NOUN
fcis-31919	36	58	of	of	ADP
fcis-31919	36	59	transferring	transfer	VERB
fcis-31919	36	60	implicit	implicit	ADJ
fcis-31919	36	61	domain	domain	NOUN
fcis-31919	36	62	knowledge	knowledge	NOUN
fcis-31919	36	63	rules	rule	NOUN
fcis-31919	36	64	.	.	PUNCT
fcis-31919	37	1	although	although	SCONJ
fcis-31919	37	2	the	the	DET
fcis-31919	37	3	eaaf	eaaf	NOUN
fcis-31919	37	4	framework	framework	NOUN
fcis-31919	37	5	compresses	compress	VERB
fcis-31919	37	6	cross	cross	ADJ
fcis-31919	37	7	-	-	ADJ
fcis-31919	37	8	domain	domain	ADJ
fcis-31919	37	9	performance	performance	NOUN
fcis-31919	37	10	loss	loss	NOUN
fcis-31919	37	11	to	to	ADP
fcis-31919	37	12	4.2	4.2	NUM
fcis-31919	37	13	%	%	NOUN
fcis-31919	37	14	through	through	ADP
fcis-31919	37	15	evidential	evidential	ADJ
fcis-31919	37	16	learning	learning	NOUN
fcis-31919	37	17	,	,	PUNCT
fcis-31919	37	18	in	in	ADP
fcis-31919	37	19	highly	highly	ADV
fcis-31919	37	20	professional	professional	ADJ
fcis-31919	37	21	fields	field	NOUN
fcis-31919	37	22	such	such	ADJ
fcis-31919	37	23	as	as	ADP
fcis-31919	37	24	law	law	NOUN
fcis-31919	37	25	and	and	CCONJ
fcis-31919	37	26	medicine	medicine	NOUN
fcis-31919	37	27	,	,	PUNCT
fcis-31919	37	28	the	the	DET
fcis-31919	37	29	emotional	emotional	ADJ
fcis-31919	37	30	mapping	mapping	NOUN
fcis-31919	37	31	of	of	ADP
fcis-31919	37	32	terms	term	NOUN
fcis-31919	37	33	(	(	PUNCT
fcis-31919	37	34	e.g.	e.g.	ADV
fcis-31919	37	35	,	,	PUNCT
fcis-31919	37	36	"	"	PUNCT
fcis-31919	37	37	defense	defense	NOUN
fcis-31919	37	38	"	"	PUNCT
fcis-31919	37	39	has	have	VERB
fcis-31919	37	40	no	no	DET
fcis-31919	37	41	direct	direct	ADJ
fcis-31919	37	42	emotional	emotional	ADJ
fcis-31919	37	43	tendency	tendency	NOUN
fcis-31919	37	44	in	in	ADP
fcis-31919	37	45	law	law	NOUN
fcis-31919	37	46	and	and	CCONJ
fcis-31919	37	47	needs	need	VERB
fcis-31919	37	48	to	to	PART
fcis-31919	37	49	be	be	AUX
fcis-31919	37	50	combined	combine	VERB
fcis-31919	37	51	with	with	ADP
fcis-31919	37	52	contextual	contextual	ADJ
fcis-31919	37	53	roles	role	NOUN
fcis-31919	37	54	)	)	PUNCT
fcis-31919	37	55	still	still	ADV
fcis-31919	37	56	relies	rely	VERB
fcis-31919	37	57	on	on	ADP
fcis-31919	37	58	manual	manual	ADJ
fcis-31919	37	59	intervention	intervention	NOUN
fcis-31919	37	60	,	,	PUNCT
fcis-31919	37	61	and	and	CCONJ
fcis-31919	37	62	existing	exist	VERB
fcis-31919	37	63	models	model	NOUN
fcis-31919	37	64	lack	lack	VERB
fcis-31919	37	65	the	the	DET
fcis-31919	37	66	ability	ability	NOUN
fcis-31919	37	67	to	to	PART
fcis-31919	37	68	autonomously	autonomously	ADV
fcis-31919	37	69	mine	mine	VERB
fcis-31919	37	70	implicit	implicit	ADJ
fcis-31919	37	71	domain	domain	NOUN
fcis-31919	37	72	rules	rule	NOUN
fcis-31919	37	73	[	[	X
fcis-31919	37	74	5	5	NUM
fcis-31919	37	75	]	]	PUNCT
fcis-31919	37	76	.	.	PUNCT
fcis-31919	38	1	in	in	ADP
fcis-31919	38	2	low	low	ADJ
fcis-31919	38	3	-	-	PUNCT
fcis-31919	38	4	resource	resource	NOUN
fcis-31919	38	5	scenarios	scenario	NOUN
fcis-31919	38	6	,	,	PUNCT
fcis-31919	38	7	although	although	SCONJ
fcis-31919	38	8	augmented	augment	VERB
fcis-31919	38	9	data	datum	NOUN
fcis-31919	38	10	generated	generate	VERB
fcis-31919	38	11	by	by	ADP
fcis-31919	38	12	diffusion	diffusion	NOUN
fcis-31919	38	13	models	model	NOUN
fcis-31919	38	14	can	can	AUX
fcis-31919	38	15	improve	improve	VERB
fcis-31919	38	16	performance	performance	NOUN
fcis-31919	38	17	by	by	ADP
fcis-31919	38	18	8%-10	8%-10	NUM
fcis-31919	38	19	%	%	NOUN
fcis-31919	38	20	,	,	PUNCT
fcis-31919	38	21	in	in	ADP
fcis-31919	38	22	semantically	semantically	ADV
fcis-31919	38	23	sparse	sparse	ADJ
fcis-31919	38	24	fields	field	NOUN
fcis-31919	38	25	(	(	PUNCT
fcis-31919	38	26	e.g.	e.g.	ADV
fcis-31919	38	27	,	,	PUNCT
fcis-31919	38	28	ancient	ancient	ADJ
fcis-31919	38	29	chinese	chinese	ADJ
fcis-31919	38	30	reviews	review	NOUN
fcis-31919	38	31	)	)	PUNCT
fcis-31919	38	32	,	,	PUNCT
fcis-31919	38	33	the	the	DET
fcis-31919	38	34	emotional	emotional	ADJ
fcis-31919	38	35	consistency	consistency	NOUN
fcis-31919	38	36	between	between	ADP
fcis-31919	38	37	generated	generate	VERB
fcis-31919	38	38	texts	text	NOUN
fcis-31919	38	39	and	and	CCONJ
fcis-31919	38	40	real	real	ADJ
fcis-31919	38	41	corpora	corpora	NOUN
fcis-31919	38	42	is	be	AUX
fcis-31919	38	43	still	still	ADV
fcis-31919	38	44	below	below	ADP
fcis-31919	38	45	70	70	NUM
fcis-31919	38	46	%	%	NOUN
fcis-31919	38	47	,	,	PUNCT
fcis-31919	38	48	exposing	expose	VERB
fcis-31919	38	49	the	the	DET
fcis-31919	38	50	shortcoming	shortcoming	NOUN
fcis-31919	38	51	of	of	ADP
fcis-31919	38	52	semantic	semantic	ADJ
fcis-31919	38	53	fidelity	fidelity	NOUN
fcis-31919	38	54	in	in	ADP
fcis-31919	38	55	data	datum	NOUN
fcis-31919	38	56	augmentation	augmentation	NOUN
fcis-31919	38	57	[	[	X
fcis-31919	38	58	10	10	NUM
fcis-31919	38	59	]	]	PUNCT
fcis-31919	38	60	.	.	PUNCT
fcis-31919	39	1	the	the	DET
fcis-31919	39	2	cognitive	cognitive	ADJ
fcis-31919	39	3	gap	gap	NOUN
fcis-31919	39	4	in	in	ADP
fcis-31919	39	5	complex	complex	ADJ
fcis-31919	39	6	semantics	semantic	NOUN
fcis-31919	39	7	is	be	AUX
fcis-31919	39	8	reflected	reflect	VERB
fcis-31919	39	9	in	in	ADP
fcis-31919	39	10	the	the	DET
fcis-31919	39	11	model	model	NOUN
fcis-31919	39	12	's	's	PART
fcis-31919	39	13	defective	defective	ADJ
fcis-31919	39	14	modeling	modeling	NOUN
fcis-31919	39	15	of	of	ADP
fcis-31919	39	16	the	the	DET
fcis-31919	39	17	nonlinear	nonlinear	ADJ
fcis-31919	39	18	relationship	relationship	NOUN
fcis-31919	39	19	between	between	ADP
fcis-31919	39	20	"	"	PUNCT
fcis-31919	39	21	context	context	NOUN
fcis-31919	39	22	and	and	CCONJ
fcis-31919	39	23	emotion	emotion	NOUN
fcis-31919	39	24	.	.	PUNCT
fcis-31919	39	25	"	"	PUNCT
fcis-31919	40	1	in	in	ADP
fcis-31919	40	2	irony	irony	NOUN
fcis-31919	40	3	recognition	recognition	NOUN
fcis-31919	40	4	,	,	PUNCT
fcis-31919	40	5	even	even	ADV
fcis-31919	40	6	though	though	SCONJ
fcis-31919	40	7	the	the	DET
fcis-31919	40	8	structured	structured	ADJ
fcis-31919	40	9	model	model	NOUN
fcis-31919	40	10	achieves	achieve	VERB
fcis-31919	40	11	an	an	DET
fcis-31919	40	12	accuracy	accuracy	NOUN
fcis-31919	40	13	of	of	ADP
fcis-31919	40	14	75.3	75.3	NUM
fcis-31919	40	15	%	%	NOUN
fcis-31919	40	16	,	,	PUNCT
fcis-31919	40	17	its	its	PRON
fcis-31919	40	18	performance	performance	NOUN
fcis-31919	40	19	drops	drop	VERB
fcis-31919	40	20	by	by	ADP
fcis-31919	40	21	15%-20	15%-20	NUM
fcis-31919	40	22	%	%	NOUN
fcis-31919	40	23	when	when	SCONJ
fcis-31919	40	24	facing	face	VERB
fcis-31919	40	25	culturally	culturally	ADV
fcis-31919	40	26	specific	specific	ADJ
fcis-31919	40	27	expressions	expression	NOUN
fcis-31919	40	28	(	(	PUNCT
fcis-31919	40	29	e.g.	e.g.	ADV
fcis-31919	40	30	,	,	PUNCT
fcis-31919	40	31	chinese	chinese	ADJ
fcis-31919	40	32	"	"	PUNCT
fcis-31919	40	33	reverse	reverse	ADJ
fcis-31919	40	34	praise	praise	NOUN
fcis-31919	40	35	"	"	PUNCT
fcis-31919	40	36	)	)	PUNCT
fcis-31919	40	37	,	,	PUNCT
fcis-31919	40	38	indicating	indicate	VERB
fcis-31919	40	39	that	that	SCONJ
fcis-31919	40	40	models	model	NOUN
fcis-31919	40	41	lack	lack	VERB
fcis-31919	40	42	humans	human	NOUN
fcis-31919	40	43	'	'	PART
fcis-31919	40	44	common	common	ADJ
fcis-31919	40	45	-	-	PUNCT
fcis-31919	40	46	sense	sense	NOUN
fcis-31919	40	47	reasoning	reasoning	NOUN
fcis-31919	40	48	about	about	ADP
fcis-31919	40	49	cultural	cultural	ADJ
fcis-31919	40	50	contexts	context	NOUN
fcis-31919	40	51	[	[	X
fcis-31919	40	52	6	6	NUM
fcis-31919	40	53	]	]	PUNCT
fcis-31919	40	54	.	.	PUNCT
fcis-31919	41	1	in	in	ADP
fcis-31919	41	2	mixed	mixed	ADJ
fcis-31919	41	3	sentiment	sentiment	NOUN
fcis-31919	41	4	disentanglement	disentanglement	NOUN
fcis-31919	41	5	,	,	PUNCT
fcis-31919	41	6	although	although	SCONJ
fcis-31919	41	7	causal	causal	ADJ
fcis-31919	41	8	graph	graph	NOUN
fcis-31919	41	9	methods	method	NOUN
fcis-31919	41	10	can	can	AUX
fcis-31919	41	11	separate	separate	VERB
fcis-31919	41	12	direct	direct	ADJ
fcis-31919	41	13	and	and	CCONJ
fcis-31919	41	14	indirect	indirect	ADJ
fcis-31919	41	15	factors	factor	NOUN
fcis-31919	41	16	,	,	PUNCT
fcis-31919	41	17	the	the	DET
fcis-31919	41	18	dynamic	dynamic	ADJ
fcis-31919	41	19	process	process	NOUN
fcis-31919	41	20	of	of	ADP
fcis-31919	41	21	"	"	PUNCT
fcis-31919	41	22	local	local	ADJ
fcis-31919	41	23	emotion	emotion	NOUN
fcis-31919	41	24	accumulation	accumulation	NOUN
fcis-31919	41	25	global	global	ADJ
fcis-31919	41	26	emotion	emotion	NOUN
fcis-31919	41	27	emergence	emergence	NOUN
fcis-31919	41	28	"	"	PUNCT
fcis-31919	41	29	in	in	ADP
fcis-31919	41	30	long	long	ADJ
fcis-31919	41	31	texts	text	NOUN
fcis-31919	41	32	(	(	PUNCT
fcis-31919	41	33	e.g.	e.g.	ADV
fcis-31919	41	34	,	,	PUNCT
fcis-31919	41	35	a	a	DET
fcis-31919	41	36	turning	turn	VERB
fcis-31919	41	37	positive	positive	ADJ
fcis-31919	41	38	summary	summary	NOUN
fcis-31919	41	39	after	after	ADP
fcis-31919	41	40	multiple	multiple	ADJ
fcis-31919	41	41	negative	negative	ADJ
fcis-31919	41	42	descriptions	description	NOUN
fcis-31919	41	43	)	)	PUNCT
fcis-31919	41	44	can	can	AUX
fcis-31919	41	45	not	not	PART
fcis-31919	41	46	be	be	AUX
fcis-31919	41	47	effectively	effectively	ADV
fcis-31919	41	48	captured	capture	VERB
fcis-31919	41	49	,	,	PUNCT
fcis-31919	41	50	limiting	limit	VERB
fcis-31919	41	51	the	the	DET
fcis-31919	41	52	improvement	improvement	NOUN
fcis-31919	41	53	space	space	NOUN
fcis-31919	41	54	of	of	ADP
fcis-31919	41	55	hierarchical	hierarchical	ADJ
fcis-31919	41	56	models	model	NOUN
fcis-31919	41	57	due	due	ADJ
fcis-31919	41	58	to	to	ADP
fcis-31919	41	59	semantic	semantic	ADJ
fcis-31919	41	60	dynamics	dynamic	NOUN
fcis-31919	41	61	[	[	X
fcis-31919	41	62	12	12	NUM
fcis-31919	41	63	]	]	PUNCT
fcis-31919	41	64	.	.	PUNCT
fcis-31919	42	1	the	the	DET
fcis-31919	42	2	essential	essential	ADJ
fcis-31919	42	3	contradiction	contradiction	NOUN
fcis-31919	42	4	in	in	ADP
fcis-31919	42	5	multimodal	multimodal	NOUN
fcis-31919	42	6	fusion	fusion	NOUN
fcis-31919	42	7	is	be	AUX
fcis-31919	42	8	the	the	DET
fcis-31919	42	9	conflict	conflict	NOUN
fcis-31919	42	10	between	between	ADP
fcis-31919	42	11	"	"	PUNCT
fcis-31919	42	12	modal	modal	ADJ
fcis-31919	42	13	heterogeneity	heterogeneity	NOUN
fcis-31919	42	14	"	"	PUNCT
fcis-31919	42	15	and	and	CCONJ
fcis-31919	42	16	"	"	PUNCT
fcis-31919	42	17	emotional	emotional	ADJ
fcis-31919	42	18	unity	unity	NOUN
fcis-31919	42	19	.	.	PUNCT
fcis-31919	42	20	"	"	PUNCT
fcis-31919	43	1	although	although	SCONJ
fcis-31919	43	2	the	the	DET
fcis-31919	43	3	camf	camf	NOUN
fcis-31919	43	4	module	module	NOUN
fcis-31919	43	5	can	can	AUX
fcis-31919	43	6	align	align	VERB
fcis-31919	43	7	temporal	temporal	ADJ
fcis-31919	43	8	correlations	correlation	NOUN
fcis-31919	43	9	,	,	PUNCT
fcis-31919	43	10	in	in	ADP
fcis-31919	43	11	cross	cross	ADJ
fcis-31919	43	12	-	-	ADJ
fcis-31919	43	13	cultural	cultural	ADJ
fcis-31919	43	14	scenarios	scenario	NOUN
fcis-31919	43	15	(	(	PUNCT
fcis-31919	43	16	e.g.	e.g.	ADV
fcis-31919	43	17	,	,	PUNCT
fcis-31919	43	18	emotional	emotional	ADJ
fcis-31919	43	19	conflicts	conflict	NOUN
fcis-31919	43	20	between	between	ADP
fcis-31919	43	21	the	the	DET
fcis-31919	43	22	text	text	NOUN
fcis-31919	43	23	"	"	PUNCT
fcis-31919	43	24	interesting	interesting	ADJ
fcis-31919	43	25	"	"	PUNCT
fcis-31919	43	26	and	and	CCONJ
fcis-31919	43	27	specific	specific	ADJ
fcis-31919	43	28	gestures	gesture	NOUN
fcis-31919	43	29	in	in	ADP
fcis-31919	43	30	the	the	DET
fcis-31919	43	31	middle	middle	PROPN
fcis-31919	43	32	east	east	PROPN
fcis-31919	43	33	)	)	PUNCT
fcis-31919	43	34	,	,	PUNCT
fcis-31919	43	35	modal	modal	ADJ
fcis-31919	43	36	weight	weight	NOUN
fcis-31919	43	37	allocation	allocation	NOUN
fcis-31919	43	38	is	be	AUX
fcis-31919	43	39	susceptible	susceptible	ADJ
fcis-31919	43	40	to	to	ADP
fcis-31919	43	41	cultural	cultural	ADJ
fcis-31919	43	42	biases	bias	NOUN
fcis-31919	43	43	,	,	PUNCT
fcis-31919	43	44	resulting	result	VERB
fcis-31919	43	45	in	in	ADP
fcis-31919	43	46	a	a	DET
fcis-31919	43	47	precision	precision	NOUN
fcis-31919	43	48	loss	loss	NOUN
fcis-31919	43	49	exceeding	exceed	VERB
fcis-31919	43	50	10	10	NUM
fcis-31919	43	51	%	%	NOUN
fcis-31919	43	52	[	[	X
fcis-31919	43	53	7	7	NUM
fcis-31919	43	54	]	]	PUNCT
fcis-31919	43	55	.	.	PUNCT
fcis-31919	44	1	modal	modal	ADJ
fcis-31919	44	2	missing	miss	VERB
fcis-31919	44	3	completion	completion	NOUN
fcis-31919	44	4	technology	technology	NOUN
fcis-31919	44	5	relies	rely	VERB
fcis-31919	44	6	on	on	ADP
fcis-31919	44	7	the	the	DET
fcis-31919	44	8	imagination	imagination	NOUN
fcis-31919	44	9	of	of	ADP
fcis-31919	44	10	generative	generative	ADJ
fcis-31919	44	11	models	model	NOUN
fcis-31919	44	12	but	but	CCONJ
fcis-31919	44	13	often	often	ADV
fcis-31919	44	14	introduces	introduce	VERB
fcis-31919	44	15	false	false	ADJ
fcis-31919	44	16	emotional	emotional	ADJ
fcis-31919	44	17	features	feature	NOUN
fcis-31919	44	18	due	due	ADP
fcis-31919	44	19	to	to	ADP
fcis-31919	44	20	over	over	ADP
fcis-31919	44	21	-	-	PUNCT
fcis-31919	44	22	completion	completion	NOUN
fcis-31919	44	23	(	(	PUNCT
fcis-31919	44	24	e.g.	e.g.	ADV
fcis-31919	44	25	,	,	PUNCT
fcis-31919	44	26	generating	generate	VERB
fcis-31919	44	27	"	"	PUNCT
fcis-31919	44	28	smile	smile	ADJ
fcis-31919	44	29	"	"	PUNCT
fcis-31919	44	30	image	image	NOUN
fcis-31919	44	31	features	feature	NOUN
fcis-31919	44	32	for	for	ADP
fcis-31919	44	33	"	"	PUNCT
fcis-31919	44	34	neutral	neutral	ADJ
fcis-31919	44	35	"	"	PUNCT
fcis-31919	44	36	texts	text	NOUN
fcis-31919	44	37	)	)	PUNCT
fcis-31919	44	38	,	,	PUNCT
fcis-31919	44	39	leading	lead	VERB
fcis-31919	44	40	to	to	ADP
fcis-31919	44	41	decision	decision	NOUN
fcis-31919	44	42	biases	bias	NOUN
fcis-31919	44	43	[	[	X
fcis-31919	44	44	15	15	NUM
fcis-31919	44	45	]	]	PUNCT
fcis-31919	44	46	.	.	PUNCT
fcis-31919	45	1	balancing	balance	VERB
fcis-31919	45	2	ethics	ethic	NOUN
fcis-31919	45	3	and	and	CCONJ
fcis-31919	45	4	efficiency	efficiency	NOUN
fcis-31919	45	5	complicate	complicate	VERB
fcis-31919	45	6	implementation	implementation	NOUN
fcis-31919	45	7	of	of	ADP
fcis-31919	45	8	technologies	technology	NOUN
fcis-31919	45	9	:	:	PUNCT
fcis-31919	45	10	fairness	fairness	NOUN
fcis-31919	45	11	framework	framework	NOUN
fcis-31919	45	12	achieves	achieve	VERB
fcis-31919	45	13	an	an	DET
fcis-31919	45	14	improvement	improvement	NOUN
fcis-31919	45	15	in	in	ADP
fcis-31919	45	16	recognizing	recognize	VERB
fcis-31919	45	17	minority	minority	NOUN
fcis-31919	45	18	groups	group	NOUN
fcis-31919	45	19	by	by	ADP
fcis-31919	45	20	sacrificing	sacrifice	VERB
fcis-31919	45	21	3%~5	3%~5	NUM
fcis-31919	45	22	%	%	NOUN
fcis-31919	45	23	of	of	ADP
fcis-31919	45	24	overall	overall	ADJ
fcis-31919	45	25	performance	performance	NOUN
fcis-31919	45	26	,	,	PUNCT
fcis-31919	45	27	but	but	CCONJ
fcis-31919	45	28	that	that	PRON
fcis-31919	45	29	can	can	AUX
fcis-31919	45	30	not	not	PART
fcis-31919	45	31	be	be	AUX
fcis-31919	45	32	achieved	achieve	VERB
fcis-31919	45	33	in	in	ADP
fcis-31919	45	34	real	real	ADJ
fcis-31919	45	35	time	time	NOUN
fcis-31919	45	36	(	(	PUNCT
fcis-31919	45	37	e.	e.	PROPN
fcis-31919	45	38	g.	g.	PROPN
fcis-31919	45	39	,	,	PUNCT
fcis-31919	45	40	public	public	ADJ
fcis-31919	45	41	sentiment	sentiment	NOUN
fcis-31919	45	42	analysis	analysis	NOUN
fcis-31919	45	43	)	)	PUNCT
fcis-31919	46	1	[	[	X
fcis-31919	46	2	18	18	NUM
fcis-31919	46	3	]	]	PUNCT
fcis-31919	46	4	.	.	PUNCT
fcis-31919	47	1	lightweight	lightweight	ADJ
fcis-31919	47	2	models	model	NOUN
fcis-31919	47	3	can	can	AUX
fcis-31919	47	4	lower	lower	VERB
fcis-31919	47	5	model	model	NOUN
fcis-31919	47	6	parameter	parameter	NOUN
fcis-31919	47	7	quantity	quantity	NOUN
fcis-31919	47	8	by	by	ADP
fcis-31919	47	9	up	up	ADP
fcis-31919	47	10	to	to	PART
fcis-31919	47	11	60	60	NUM
fcis-31919	47	12	%	%	NOUN
fcis-31919	47	13	,	,	PUNCT
fcis-31919	47	14	which	which	PRON
fcis-31919	47	15	requires	require	VERB
fcis-31919	47	16	the	the	DET
fcis-31919	47	17	potential	potential	NOUN
fcis-31919	47	18	of	of	ADP
fcis-31919	47	19	30	30	NUM
fcis-31919	47	20	%	%	NOUN
fcis-31919	47	21	accuracy	accuracy	NOUN
fcis-31919	47	22	reduction	reduction	NOUN
fcis-31919	47	23	in	in	ADP
fcis-31919	47	24	complex	complex	ADJ
fcis-31919	47	25	semantic	semantic	ADJ
fcis-31919	47	26	tasks	task	NOUN
fcis-31919	47	27	,	,	PUNCT
fcis-31919	47	28	implying	imply	VERB
fcis-31919	47	29	that	that	SCONJ
fcis-31919	47	30	there	there	PRON
fcis-31919	47	31	exists	exist	VERB
fcis-31919	47	32	a	a	DET
fcis-31919	47	33	zero	zero	NUM
fcis-31919	47	34	-	-	PUNCT
fcis-31919	47	35	sum	sum	NOUN
fcis-31919	47	36	game	game	NOUN
fcis-31919	47	37	between	between	ADP
fcis-31919	47	38	"	"	PUNCT
fcis-31919	47	39	efficiency	efficiency	NOUN
fcis-31919	47	40	versus	versus	ADP
fcis-31919	47	41	precision	precision	NOUN
fcis-31919	47	42	"	"	PUNCT
fcis-31919	47	43	.	.	PUNCT
fcis-31919	48	1	interpretable	interpretable	ADJ
fcis-31919	48	2	tools	tool	NOUN
fcis-31919	48	3	(	(	PUNCT
fcis-31919	48	4	e.	e.	PROPN
fcis-31919	48	5	g.	g.	PROPN
fcis-31919	48	6	,	,	PUNCT
fcis-31919	48	7	interpretability	interpretability	NOUN
fcis-31919	48	8	tools	tool	NOUN
fcis-31919	48	9	)	)	PUNCT
fcis-31919	48	10	can	can	AUX
fcis-31919	48	11	generate	generate	VERB
fcis-31919	48	12	67	67	NUM
fcis-31919	48	13	causal	causal	ADJ
fcis-31919	48	14	chains	chain	NOUN
fcis-31919	48	15	to	to	PART
fcis-31919	48	16	enhance	enhance	VERB
fcis-31919	48	17	verifiability	verifiability	NOUN
fcis-31919	48	18	but	but	CCONJ
fcis-31919	48	19	tend	tend	VERB
fcis-31919	48	20	to	to	PART
fcis-31919	48	21	increase	increase	VERB
fcis-31919	48	22	visualisation	visualisation	NOUN
fcis-31919	48	23	cost	cost	NOUN
fcis-31919	48	24	;	;	PUNCT
fcis-31919	48	25	it	it	PRON
fcis-31919	48	26	can	can	AUX
fcis-31919	48	27	even	even	ADV
fcis-31919	48	28	reduce	reduce	VERB
fcis-31919	48	29	user	user	NOUN
fcis-31919	48	30	reading	read	VERB
fcis-31919	48	31	efficiency	efficiency	NOUN
fcis-31919	48	32	of	of	ADP
fcis-31919	48	33	long	long	ADJ
fcis-31919	48	34	texts	text	NOUN
fcis-31919	48	35	by	by	ADP
fcis-31919	48	36	40	40	NUM
fcis-31919	48	37	%	%	NOUN
fcis-31919	48	38	.	.	PUNCT
fcis-31919	49	1	4	4	X
fcis-31919	49	2	.	.	X
fcis-31919	49	3	conclusion	conclusion	NOUN
fcis-31919	49	4	to	to	PART
fcis-31919	49	5	solve	solve	VERB
fcis-31919	49	6	these	these	DET
fcis-31919	49	7	challenges	challenge	NOUN
fcis-31919	49	8	,	,	PUNCT
fcis-31919	49	9	in	in	ADP
fcis-31919	49	10	future	future	ADJ
fcis-31919	49	11	studies	study	NOUN
fcis-31919	49	12	,	,	PUNCT
fcis-31919	49	13	one	one	PRON
fcis-31919	49	14	should	should	AUX
fcis-31919	49	15	transcend	transcend	VERB
fcis-31919	49	16	the	the	DET
fcis-31919	49	17	limitations	limitation	NOUN
fcis-31919	49	18	of	of	ADP
fcis-31919	49	19	single	single	ADJ
fcis-31919	49	20	-	-	PUNCT
fcis-31919	49	21	technology	technology	NOUN
fcis-31919	49	22	optimization	optimization	NOUN
fcis-31919	49	23	and	and	CCONJ
fcis-31919	49	24	form	form	VERB
fcis-31919	49	25	a	a	DET
fcis-31919	49	26	multi	multi	ADJ
fcis-31919	49	27	-	-	ADJ
fcis-31919	49	28	dimensional	dimensional	ADJ
fcis-31919	49	29	collaborative	collaborative	ADJ
fcis-31919	49	30	framework	framework	NOUN
fcis-31919	49	31	.	.	PUNCT
fcis-31919	50	1	first	first	ADV
fcis-31919	50	2	,	,	PUNCT
fcis-31919	50	3	this	this	DET
fcis-31919	50	4	paper	paper	NOUN
fcis-31919	50	5	suggests	suggest	VERB
fcis-31919	50	6	building	build	VERB
fcis-31919	50	7	a	a	DET
fcis-31919	50	8	"	"	PUNCT
fcis-31919	50	9	domain	domain	NOUN
fcis-31919	50	10	knowledge	knowledge	NOUN
fcis-31919	50	11	graph	graph	NOUN
fcis-31919	50	12	+	+	CCONJ
fcis-31919	50	13	causal	causal	ADJ
fcis-31919	50	14	reasoning	reasoning	NOUN
fcis-31919	50	15	"	"	PUNCT
fcis-31919	50	16	dual	dual	ADJ
fcis-31919	50	17	-	-	PUNCT
fcis-31919	50	18	engine	engine	NOUN
fcis-31919	50	19	model	model	NOUN
fcis-31919	50	20	.	.	PUNCT
fcis-31919	51	1	then	then	ADV
fcis-31919	51	2	the	the	DET
fcis-31919	51	3	model	model	NOUN
fcis-31919	51	4	encode	encode	ADJ
fcis-31919	51	5	emotion	emotion	NOUN
fcis-31919	51	6	in	in	ADP
fcis-31919	51	7	domain	domain	NOUN
fcis-31919	51	8	terms	term	NOUN
fcis-31919	51	9	(	(	PUNCT
fcis-31919	51	10	e.	e.	PROPN
fcis-31919	51	11	g.	g.	PROPN
fcis-31919	51	12	,	,	PUNCT
fcis-31919	51	13	side	side	ADJ
fcis-31919	51	14	effect	effect	NOUN
fcis-31919	51	15	negative	negative	ADJ
fcis-31919	51	16	in	in	ADP
fcis-31919	51	17	medical	medical	ADJ
fcis-31919	51	18	domain	domain	NOUN
fcis-31919	51	19	)	)	PUNCT
fcis-31919	51	20	into	into	ADP
fcis-31919	51	21	graph	graph	NOUN
fcis-31919	51	22	triples	triple	NOUN
fcis-31919	51	23	and	and	CCONJ
fcis-31919	51	24	correct	correct	VERB
fcis-31919	51	25	the	the	DET
fcis-31919	51	26	model	model	NOUN
fcis-31919	51	27	’s	’s	PART
fcis-31919	51	28	understanding	understanding	NOUN
fcis-31919	51	29	of	of	ADP
fcis-31919	51	30	these	these	DET
fcis-31919	51	31	implied	imply	VERB
fcis-31919	51	32	rules	rule	NOUN
fcis-31919	51	33	through	through	ADP
fcis-31919	51	34	a	a	DET
fcis-31919	51	35	causal	causal	ADJ
fcis-31919	51	36	reasoning	reasoning	NOUN
fcis-31919	51	37	engine	engine	NOUN
fcis-31919	51	38	,	,	PUNCT
fcis-31919	51	39	with	with	ADP
fcis-31919	51	40	the	the	DET
fcis-31919	51	41	expectation	expectation	NOUN
fcis-31919	51	42	of	of	ADP
fcis-31919	51	43	avoiding	avoid	VERB
fcis-31919	51	44	more	more	ADJ
fcis-31919	51	45	than	than	ADP
fcis-31919	51	46	3	3	NUM
fcis-31919	51	47	%	%	NOUN
fcis-31919	51	48	performance	performance	NOUN
fcis-31919	51	49	decrease	decrease	NOUN
fcis-31919	51	50	when	when	SCONJ
fcis-31919	51	51	it	it	PRON
fcis-31919	51	52	comes	come	VERB
fcis-31919	51	53	to	to	ADP
fcis-31919	51	54	very	very	ADV
fcis-31919	51	55	professional	professional	ADJ
fcis-31919	51	56	domains	domain	NOUN
fcis-31919	51	57	.	.	PUNCT
fcis-31919	52	1	second	second	ADJ
fcis-31919	52	2	,	,	PUNCT
fcis-31919	52	3	this	this	DET
fcis-31919	52	4	paper	paper	NOUN
fcis-31919	52	5	proposes	propose	VERB
fcis-31919	52	6	designing	design	VERB
fcis-31919	52	7	a	a	DET
fcis-31919	52	8	"	"	PUNCT
fcis-31919	52	9	dynamic	dynamic	ADJ
fcis-31919	52	10	semantic	semantic	ADJ
fcis-31919	52	11	cognition	cognition	NOUN
fcis-31919	52	12	"	"	PUNCT
fcis-31919	52	13	mechanism	mechanism	NOUN
fcis-31919	52	14	.	.	PUNCT
fcis-31919	53	1	simulate	simulate	VERB
fcis-31919	53	2	the	the	DET
fcis-31919	53	3	human	human	ADJ
fcis-31919	53	4	context	context	NOUN
fcis-31919	53	5	reasoning	reasoning	NOUN
fcis-31919	53	6	process	process	NOUN
fcis-31919	53	7	,	,	PUNCT
fcis-31919	53	8	implanting	implant	VERB
fcis-31919	53	9	a	a	DET
fcis-31919	53	10	"	"	PUNCT
fcis-31919	53	11	dynamic	dynamic	ADJ
fcis-31919	53	12	update	update	NOUN
fcis-31919	53	13	module	module	NOUN
fcis-31919	53	14	for	for	ADP
fcis-31919	53	15	emotional	emotional	ADJ
fcis-31919	53	16	dictionaries	dictionary	NOUN
fcis-31919	53	17	"	"	PUNCT
fcis-31919	53	18	into	into	ADP
fcis-31919	53	19	the	the	DET
fcis-31919	53	20	model	model	NOUN
fcis-31919	53	21	(	(	PUNCT
fcis-31919	53	22	e.g.	e.g.	ADV
fcis-31919	53	23	,	,	PUNCT
fcis-31919	53	24	adjust	adjust	VERB
fcis-31919	53	25	the	the	DET
fcis-31919	53	26	emotional	emotional	ADJ
fcis-31919	53	27	polarity	polarity	NOUN
fcis-31919	53	28	of	of	ADP
fcis-31919	53	29	"	"	PUNCT
fcis-31919	53	30	genius	genius	NOUN
fcis-31919	53	31	"	"	PUNCT
fcis-31919	53	32	according	accord	VERB
fcis-31919	53	33	to	to	ADP
fcis-31919	53	34	context	context	NOUN
fcis-31919	53	35	)	)	PUNCT
fcis-31919	53	36	,	,	PUNCT
fcis-31919	53	37	and	and	CCONJ
fcis-31919	53	38	combine	combine	VERB
fcis-31919	53	39	cultural	cultural	ADJ
fcis-31919	53	40	common	common	ADJ
fcis-31919	53	41	-	-	PUNCT
fcis-31919	53	42	sense	sense	NOUN
fcis-31919	53	43	databases	database	NOUN
fcis-31919	53	44	(	(	PUNCT
fcis-31919	53	45	e.g.	e.g.	ADV
fcis-31919	53	46	,	,	PUNCT
fcis-31919	53	47	chinese	chinese	ADJ
fcis-31919	53	48	irony	irony	NOUN
fcis-31919	53	49	pattern	pattern	NOUN
fcis-31919	53	50	databases	database	NOUN
fcis-31919	53	51	)	)	PUNCT
fcis-31919	53	52	,	,	PUNCT
fcis-31919	53	53	which	which	PRON
fcis-31919	53	54	is	be	AUX
fcis-31919	53	55	expected	expect	VERB
fcis-31919	53	56	to	to	PART
fcis-31919	53	57	improve	improve	VERB
fcis-31919	53	58	the	the	DET
fcis-31919	53	59	accuracy	accuracy	NOUN
fcis-31919	53	60	of	of	ADP
fcis-31919	53	61	cross	cross	ADJ
fcis-31919	53	62	-	-	ADJ
fcis-31919	53	63	cultural	cultural	ADJ
fcis-31919	53	64	complex	complex	ADJ
fcis-31919	53	65	semantic	semantic	ADJ
fcis-31919	53	66	recognition	recognition	NOUN
fcis-31919	53	67	to	to	ADP
fcis-31919	53	68	over	over	ADP
fcis-31919	53	69	85	85	NUM
fcis-31919	53	70	%	%	NOUN
fcis-31919	53	71	.	.	PUNCT
fcis-31919	54	1	third	third	ADJ
fcis-31919	54	2	,	,	PUNCT
fcis-31919	54	3	this	this	DET
fcis-31919	54	4	paper	paper	NOUN
fcis-31919	54	5	recommends	recommend	VERB
fcis-31919	54	6	constructing	construct	VERB
fcis-31919	54	7	a	a	DET
fcis-31919	54	8	"	"	PUNCT
fcis-31919	54	9	modal	modal	ADJ
fcis-31919	54	10	symbiosis	symbiosis	NOUN
fcis-31919	54	11	"	"	PUNCT
fcis-31919	54	12	fusion	fusion	NOUN
fcis-31919	54	13	system	system	NOUN
fcis-31919	54	14	,	,	PUNCT
fcis-31919	54	15	and	and	CCONJ
fcis-31919	54	16	mine	mine	PRON
fcis-31919	54	17	"	"	PUNCT
fcis-31919	54	18	emotional	emotional	ADJ
fcis-31919	54	19	prototypes	prototype	NOUN
fcis-31919	54	20	"	"	PUNCT
fcis-31919	54	21	among	among	ADP
fcis-31919	54	22	different	different	ADJ
fcis-31919	54	23	modalities	modality	NOUN
fcis-31919	54	24	(	(	PUNCT
fcis-31919	54	25	for	for	ADP
fcis-31919	54	26	example	example	NOUN
fcis-31919	54	27	,	,	PUNCT
fcis-31919	54	28	common	common	ADJ
fcis-31919	54	29	elements	element	NOUN
fcis-31919	54	30	of	of	ADP
fcis-31919	54	31	text	text	NOUN
fcis-31919	54	32	,	,	PUNCT
fcis-31919	54	33	image	image	NOUN
fcis-31919	54	34	and	and	CCONJ
fcis-31919	54	35	audio	audio	NOUN
fcis-31919	54	36	correspond	correspond	NOUN
fcis-31919	54	37	to	to	ADP
fcis-31919	54	38	"	"	PUNCT
fcis-31919	54	39	anger	anger	NOUN
fcis-31919	54	40	"	"	PUNCT
fcis-31919	54	41	)	)	PUNCT
fcis-31919	54	42	,	,	PUNCT
fcis-31919	54	43	then	then	ADV
fcis-31919	54	44	letting	let	VERB
fcis-31919	54	45	models	model	NOUN
fcis-31919	54	46	complete	complete	VERB
fcis-31919	54	47	missing	missing	ADJ
fcis-31919	54	48	modalities	modality	NOUN
fcis-31919	54	49	according	accord	VERB
fcis-31919	54	50	to	to	ADP
fcis-31919	54	51	the	the	DET
fcis-31919	54	52	prototypes	prototype	NOUN
fcis-31919	54	53	directly	directly	ADV
fcis-31919	54	54	without	without	ADP
fcis-31919	54	55	resorting	resort	VERB
fcis-31919	54	56	to	to	AUX
fcis-31919	54	57	generative	generative	VERB
fcis-31919	54	58	imagination	imagination	NOUN
fcis-31919	54	59	to	to	PART
fcis-31919	54	60	drop	drop	VERB
fcis-31919	54	61	the	the	DET
fcis-31919	54	62	completion	completion	NOUN
fcis-31919	54	63	bias	bias	NOUN
fcis-31919	54	64	below	below	ADP
fcis-31919	54	65	5	5	NUM
fcis-31919	54	66	%	%	NOUN
fcis-31919	54	67	.	.	PUNCT
fcis-31919	55	1	additionally	additionally	ADV
fcis-31919	55	2	,	,	PUNCT
fcis-31919	55	3	this	this	DET
fcis-31919	55	4	paper	paper	NOUN
fcis-31919	55	5	suggests	suggest	VERB
fcis-31919	55	6	establishing	establish	VERB
fcis-31919	55	7	a	a	DET
fcis-31919	55	8	"	"	PUNCT
fcis-31919	55	9	fairnessefficiency	fairnessefficiency	NOUN
fcis-31919	55	10	"	"	PUNCT
fcis-31919	55	11	collaborative	collaborative	ADJ
fcis-31919	55	12	optimization	optimization	NOUN
fcis-31919	55	13	algorithm	algorithm	NOUN
fcis-31919	55	14	that	that	PRON
fcis-31919	55	15	retains	retain	VERB
fcis-31919	55	16	neurons	neuron	NOUN
fcis-31919	55	17	sensitive	sensitive	ADJ
fcis-31919	55	18	to	to	ADP
fcis-31919	55	19	fairness	fairness	NOUN
fcis-31919	55	20	during	during	ADP
fcis-31919	55	21	light	light	ADJ
fcis-31919	55	22	-	-	PUNCT
fcis-31919	55	23	weight	weight	NOUN
fcis-31919	55	24	pruning	pruning	NOUN
fcis-31919	55	25	(	(	PUNCT
fcis-31919	55	26	e.	e.	PROPN
fcis-31919	55	27	g.	g.	PROPN
fcis-31919	55	28	,	,	PUNCT
fcis-31919	55	29	retain	retain	VERB
fcis-31919	55	30	the	the	DET
fcis-31919	55	31	key	key	ADJ
fcis-31919	55	32	feature	feature	NOUN
fcis-31919	55	33	channels	channel	NOUN
fcis-31919	55	34	which	which	PRON
fcis-31919	55	35	can	can	AUX
fcis-31919	55	36	recognize	recognize	VERB
fcis-31919	55	37	female	female	ADJ
fcis-31919	55	38	programmers	programmer	NOUN
fcis-31919	55	39	)	)	PUNCT
fcis-31919	55	40	while	while	SCONJ
fcis-31919	55	41	aggregating	aggregate	VERB
fcis-31919	55	42	the	the	DET
fcis-31919	55	43	models	model	NOUN
fcis-31919	55	44	with	with	ADP
fcis-31919	55	45	federated	federated	ADJ
fcis-31919	55	46	learning	learning	NOUN
fcis-31919	55	47	and	and	CCONJ
fcis-31919	55	48	distributed	distribute	VERB
fcis-31919	55	49	inference	inference	NOUN
fcis-31919	55	50	so	so	SCONJ
fcis-31919	55	51	that	that	SCONJ
fcis-31919	55	52	it	it	PRON
fcis-31919	55	53	responds	respond	VERB
fcis-31919	55	54	in	in	ADP
fcis-31919	55	55	real	real	ADJ
fcis-31919	55	56	time	time	NOUN
fcis-31919	55	57	with	with	ADP
fcis-31919	55	58	90	90	NUM
fcis-31919	55	59	%	%	NOUN
fcis-31919	55	60	accuracy	accuracy	NOUN
fcis-31919	55	61	toward	toward	ADP
fcis-31919	55	62	fairness	fairness	NOUN
fcis-31919	55	63	rules	rule	NOUN
fcis-31919	55	64	.	.	PUNCT
fcis-31919	56	1	references	reference	NOUN
fcis-31919	56	2	[	[	X
fcis-31919	56	3	1	1	NUM
fcis-31919	56	4	]	]	PUNCT
fcis-31919	56	5	devlin	devlin	PROPN
fcis-31919	56	6	,	,	PUNCT
fcis-31919	56	7	j.	j.	PROPN
fcis-31919	56	8	,	,	PUNCT
fcis-31919	56	9	chang	chang	PROPN
fcis-31919	56	10	,	,	PUNCT
fcis-31919	56	11	m.	m.	PROPN
fcis-31919	56	12	w.	w.	PROPN
fcis-31919	56	13	,	,	PUNCT
fcis-31919	56	14	lee	lee	PROPN
fcis-31919	56	15	,	,	PUNCT
fcis-31919	56	16	k.	k.	PROPN
fcis-31919	56	17	,	,	PUNCT
fcis-31919	56	18	&	&	CCONJ
fcis-31919	56	19	toutanova	toutanova	PROPN
fcis-31919	56	20	,	,	PUNCT
fcis-31919	56	21	k.	k.	PROPN
fcis-31919	56	22	(	(	PUNCT
fcis-31919	56	23	2019	2019	NUM
fcis-31919	56	24	)	)	PUNCT
fcis-31919	56	25	.	.	PUNCT
fcis-31919	57	1	bert	bert	PROPN
fcis-31919	57	2	:	:	PUNCT
fcis-31919	57	3	pre	pre	ADJ
fcis-31919	57	4	-	-	NOUN
fcis-31919	57	5	training	training	NOUN
fcis-31919	57	6	of	of	ADP
fcis-31919	57	7	deep	deep	ADJ
fcis-31919	57	8	bidirectional	bidirectional	ADJ
fcis-31919	57	9	transformers	transformer	NOUN
fcis-31919	57	10	for	for	ADP
fcis-31919	57	11	language	language	NOUN
fcis-31919	57	12	understanding	understanding	NOUN
fcis-31919	57	13	.	.	PUNCT
fcis-31919	58	1	in	in	ADP
fcis-31919	58	2	proceedings	proceeding	NOUN
fcis-31919	58	3	of	of	ADP
fcis-31919	58	4	the	the	DET
fcis-31919	58	5	2019	2019	NUM
fcis-31919	58	6	conference	conference	NOUN
fcis-31919	58	7	of	of	ADP
fcis-31919	58	8	the	the	DET
fcis-31919	58	9	north	north	ADJ
fcis-31919	58	10	american	american	ADJ
fcis-31919	58	11	chapter	chapter	NOUN
fcis-31919	58	12	of	of	ADP
fcis-31919	58	13	the	the	DET
fcis-31919	58	14	association	association	NOUN
fcis-31919	58	15	for	for	ADP
fcis-31919	58	16	computational	computational	ADJ
fcis-31919	58	17	linguistics	linguistic	NOUN
fcis-31919	58	18	:	:	PUNCT
fcis-31919	58	19	human	human	ADJ
fcis-31919	58	20	language	language	NOUN
fcis-31919	58	21	technologies	technology	NOUN
fcis-31919	58	22	.	.	PUNCT
fcis-31919	59	1	minneapolis	minneapolis	PROPN
fcis-31919	59	2	,	,	PUNCT
fcis-31919	59	3	mn	mn	PROPN
fcis-31919	59	4	,	,	PUNCT
fcis-31919	59	5	usa	usa	PROPN
fcis-31919	59	6	.	.	PROPN
fcis-31919	60	1	pp	pp	PROPN
fcis-31919	60	2	.	.	PUNCT
fcis-31919	61	1	4171	4171	NUM
fcis-31919	61	2	-	-	SYM
fcis-31919	61	3	4186	4186	NUM
fcis-31919	61	4	.	.	PUNCT
fcis-31919	62	1	[	[	X
fcis-31919	62	2	2	2	NUM
fcis-31919	62	3	]	]	PUNCT
fcis-31919	62	4	sheoran	sheoran	PROPN
fcis-31919	62	5	,	,	PUNCT
fcis-31919	62	6	a.	a.	PROPN
fcis-31919	62	7	,	,	PUNCT
fcis-31919	62	8	joshi	joshi	PROPN
fcis-31919	62	9	,	,	PUNCT
fcis-31919	62	10	a.	a.	PROPN
fcis-31919	62	11	,	,	PUNCT
fcis-31919	62	12	&	&	CCONJ
fcis-31919	62	13	bhattacharyya	bhattacharyya	ADJ
fcis-31919	62	14	,	,	PUNCT
fcis-31919	62	15	p.	p.	NOUN
fcis-31919	62	16	(	(	PUNCT
fcis-31919	62	17	2020	2020	NUM
fcis-31919	62	18	)	)	PUNCT
fcis-31919	62	19	.	.	PUNCT
fcis-31919	63	1	domain	domain	NOUN
fcis-31919	63	2	adaptation	adaptation	NOUN
fcis-31919	63	3	for	for	ADP
fcis-31919	63	4	sentiment	sentiment	NOUN
fcis-31919	63	5	analysis	analysis	NOUN
fcis-31919	63	6	:	:	PUNCT
fcis-31919	63	7	a	a	DET
fcis-31919	63	8	survey	survey	NOUN
fcis-31919	63	9	.	.	PUNCT
fcis-31919	64	1	journal	journal	NOUN
fcis-31919	64	2	of	of	ADP
fcis-31919	64	3	machine	machine	NOUN
fcis-31919	64	4	learning	learn	VERB
fcis-31919	64	5	research	research	NOUN
fcis-31919	64	6	,	,	PUNCT
fcis-31919	64	7	21(123	21(123	NOUN
fcis-31919	64	8	)	)	PUNCT
fcis-31919	64	9	,	,	PUNCT
fcis-31919	64	10	1–50	1–50	NOUN
fcis-31919	64	11	.	.	PUNCT
fcis-31919	65	1	[	[	X
fcis-31919	65	2	3	3	NUM
fcis-31919	65	3	]	]	PUNCT
fcis-31919	65	4	bommasani	bommasani	NOUN
fcis-31919	65	5	,	,	PUNCT
fcis-31919	65	6	r.	r.	PROPN
fcis-31919	65	7	,	,	PUNCT
fcis-31919	65	8	hudson	hudson	PROPN
fcis-31919	65	9	,	,	PUNCT
fcis-31919	65	10	d.	d.	PROPN
fcis-31919	65	11	a.	a.	PROPN
fcis-31919	65	12	,	,	PUNCT
fcis-31919	65	13	adeli	adeli	PROPN
fcis-31919	65	14	,	,	PUNCT
fcis-31919	65	15	e.	e.	PROPN
fcis-31919	65	16	,	,	PUNCT
fcis-31919	65	17	altman	altman	PROPN
fcis-31919	65	18	,	,	PUNCT
fcis-31919	65	19	r.	r.	PROPN
fcis-31919	65	20	,	,	PUNCT
fcis-31919	65	21	arora	arora	PROPN
fcis-31919	65	22	,	,	PUNCT
fcis-31919	65	23	s.	s.	PROPN
fcis-31919	65	24	,	,	PUNCT
fcis-31919	65	25	von	von	PROPN
fcis-31919	65	26	arx	arx	PROPN
fcis-31919	65	27	,	,	PUNCT
fcis-31919	65	28	s.	s.	PROPN
fcis-31919	65	29	,	,	PUNCT
fcis-31919	65	30	...	...	PUNCT
fcis-31919	65	31	&	&	CCONJ
fcis-31919	65	32	liang	liang	PROPN
fcis-31919	65	33	,	,	PUNCT
fcis-31919	65	34	p.	p.	NOUN
fcis-31919	65	35	(	(	PUNCT
fcis-31919	65	36	2021	2021	NUM
fcis-31919	65	37	)	)	PUNCT
fcis-31919	65	38	.	.	PUNCT
fcis-31919	66	1	on	on	ADP
fcis-31919	66	2	the	the	DET
fcis-31919	66	3	opportunities	opportunity	NOUN
fcis-31919	66	4	and	and	CCONJ
fcis-31919	66	5	risks	risk	NOUN
fcis-31919	66	6	of	of	ADP
fcis-31919	66	7	foundation	foundation	NOUN
fcis-31919	66	8	models	model	NOUN
fcis-31919	66	9	.	.	PUNCT
fcis-31919	67	1	arxiv	arxiv	PROPN
fcis-31919	67	2	preprint	preprint	NOUN
fcis-31919	67	3	arxiv:2108.07258	arxiv:2108.07258	NOUN
fcis-31919	67	4	.	.	PUNCT
fcis-31919	68	1	[	[	X
fcis-31919	68	2	4	4	NUM
fcis-31919	68	3	]	]	PUNCT
fcis-31919	68	4	poria	poria	NOUN
fcis-31919	68	5	,	,	PUNCT
fcis-31919	68	6	s.	s.	PROPN
fcis-31919	68	7	,	,	PUNCT
fcis-31919	68	8	cambria	cambria	PROPN
fcis-31919	68	9	,	,	PUNCT
fcis-31919	68	10	e.	e.	PROPN
fcis-31919	68	11	,	,	PUNCT
fcis-31919	68	12	hazarika	hazarika	NOUN
fcis-31919	68	13	,	,	PUNCT
fcis-31919	68	14	d.	d.	PROPN
fcis-31919	68	15	,	,	PUNCT
fcis-31919	68	16	&	&	CCONJ
fcis-31919	68	17	majumder	majumder	PROPN
fcis-31919	68	18	,	,	PUNCT
fcis-31919	68	19	n.	n.	PROPN
fcis-31919	68	20	(	(	PUNCT
fcis-31919	68	21	2020	2020	NUM
fcis-31919	68	22	)	)	PUNCT
fcis-31919	68	23	.	.	PUNCT
fcis-31919	69	1	multimodal	multimodal	ADJ
fcis-31919	69	2	sentiment	sentiment	NOUN
fcis-31919	69	3	analysis	analysis	NOUN
fcis-31919	69	4	:	:	PUNCT
fcis-31919	69	5	a	a	DET
fcis-31919	69	6	survey	survey	NOUN
fcis-31919	69	7	and	and	CCONJ
fcis-31919	69	8	taxonomic	taxonomic	ADJ
fcis-31919	69	9	study	study	NOUN
fcis-31919	69	10	.	.	PUNCT
fcis-31919	70	1	acm	acm	PROPN
fcis-31919	70	2	computing	computing	NOUN
fcis-31919	70	3	surveys	survey	NOUN
fcis-31919	70	4	(	(	PUNCT
fcis-31919	70	5	csur	csur	NOUN
fcis-31919	70	6	)	)	PUNCT
fcis-31919	70	7	,	,	PUNCT
fcis-31919	70	8	53(12	53(12	NUM
fcis-31919	70	9	)	)	PUNCT
fcis-31919	70	10	,	,	PUNCT
fcis-31919	70	11	1–38	1–38	PROPN
fcis-31919	70	12	.	.	PUNCT
fcis-31919	71	1	[	[	X
fcis-31919	71	2	5	5	NUM
fcis-31919	71	3	]	]	X
fcis-31919	71	4	pei	pei	PROPN
fcis-31919	71	5	,	,	PUNCT
fcis-31919	71	6	j.	j.	PROPN
fcis-31919	71	7	,	,	PUNCT
fcis-31919	71	8	men	man	NOUN
fcis-31919	71	9	,	,	PUNCT
fcis-31919	71	10	a.	a.	PROPN
fcis-31919	71	11	,	,	PUNCT
fcis-31919	71	12	liu	liu	PROPN
fcis-31919	71	13	,	,	PUNCT
fcis-31919	71	14	y.	y.	PROPN
fcis-31919	71	15	,	,	PUNCT
fcis-31919	71	16	zhuang	zhuang	PROPN
fcis-31919	71	17	,	,	PUNCT
fcis-31919	71	18	x.	x.	PROPN
fcis-31919	71	19	,	,	PUNCT
fcis-31919	71	20	&	&	CCONJ
fcis-31919	71	21	chen	chen	PROPN
fcis-31919	71	22	,	,	PUNCT
fcis-31919	71	23	q.	q.	PROPN
fcis-31919	71	24	(	(	PUNCT
fcis-31919	71	25	2024	2024	NUM
fcis-31919	71	26	)	)	PUNCT
fcis-31919	71	27	.	.	PUNCT
fcis-31919	72	1	evidential	evidential	ADJ
fcis-31919	72	2	multi	multi	ADJ
fcis-31919	72	3	-	-	ADJ
fcis-31919	72	4	source	source	NOUN
fcis-31919	72	5	-	-	PUNCT
fcis-31919	72	6	free	free	ADJ
fcis-31919	72	7	unsupervised	unsupervised	ADJ
fcis-31919	72	8	domain	domain	NOUN
fcis-31919	72	9	adaptation	adaptation	NOUN
fcis-31919	72	10	.	.	PUNCT
fcis-31919	73	1	ieee	ieee	NOUN
fcis-31919	73	2	transactions	transaction	NOUN
fcis-31919	73	3	on	on	ADP
fcis-31919	73	4	pattern	pattern	NOUN
fcis-31919	73	5	analysis	analysis	NOUN
fcis-31919	73	6	and	and	CCONJ
fcis-31919	73	7	machine	machine	NOUN
fcis-31919	73	8	intelligence	intelligence	NOUN
fcis-31919	73	9	,	,	PUNCT
fcis-31919	73	10	46(8	46(8	NOUN
fcis-31919	73	11	)	)	PUNCT
fcis-31919	73	12	,	,	PUNCT
fcis-31919	73	13	5288	5288	NUM
fcis-31919	73	14	-	-	SYM
fcis-31919	73	15	5305	5305	NUM
fcis-31919	73	16	.	.	PUNCT
fcis-31919	74	1	[	[	X
fcis-31919	74	2	6	6	NUM
fcis-31919	74	3	]	]	X
fcis-31919	74	4	zhou	zhou	PROPN
fcis-31919	74	5	,	,	PUNCT
fcis-31919	74	6	c.	c.	PROPN
fcis-31919	74	7	,	,	PUNCT
fcis-31919	74	8	li	li	PROPN
fcis-31919	74	9	,	,	PUNCT
fcis-31919	74	10	b.	b.	PROPN
fcis-31919	74	11	,	,	PUNCT
fcis-31919	74	12	fei	fei	PROPN
fcis-31919	74	13	,	,	PUNCT
fcis-31919	74	14	h.	h.	PROPN
fcis-31919	74	15	,	,	PUNCT
fcis-31919	74	16	li	li	PROPN
fcis-31919	74	17	,	,	PUNCT
fcis-31919	74	18	f.	f.	PROPN
fcis-31919	74	19	,	,	PUNCT
fcis-31919	74	20	teng	teng	PROPN
fcis-31919	74	21	,	,	PUNCT
fcis-31919	74	22	c.	c.	PROPN
fcis-31919	74	23	,	,	PUNCT
fcis-31919	74	24	&	&	CCONJ
fcis-31919	74	25	ji	ji	PROPN
fcis-31919	74	26	,	,	PUNCT
fcis-31919	74	27	d.	d.	PROPN
fcis-31919	74	28	(	(	PUNCT
fcis-31919	74	29	2024	2024	NUM
fcis-31919	74	30	)	)	PUNCT
fcis-31919	74	31	.	.	PUNCT
fcis-31919	75	1	revisiting	revisit	VERB
fcis-31919	75	2	structured	structured	ADJ
fcis-31919	75	3	sentiment	sentiment	NOUN
fcis-31919	75	4	analysis	analysis	NOUN
fcis-31919	75	5	as	as	ADP
fcis-31919	75	6	latent	latent	NOUN
fcis-31919	75	7	dependency	dependency	NOUN
fcis-31919	75	8	graph	graph	NOUN
fcis-31919	75	9	parsing	parsing	NOUN
fcis-31919	75	10	.	.	PUNCT
fcis-31919	76	1	arxiv	arxiv	PROPN
fcis-31919	76	2	preprint	preprint	NOUN
fcis-31919	76	3	arxiv:2407.04801	arxiv:2407.04801	NOUN
fcis-31919	76	4	.	.	PUNCT
fcis-31919	77	1	[	[	X
fcis-31919	77	2	7	7	NUM
fcis-31919	77	3	]	]	X
fcis-31919	77	4	lin	lin	PROPN
fcis-31919	77	5	,	,	PUNCT
fcis-31919	77	6	z.	z.	PROPN
fcis-31919	77	7	,	,	PUNCT
fcis-31919	77	8	liu	liu	PROPN
fcis-31919	77	9	,	,	PUNCT
fcis-31919	77	10	z.	z.	PROPN
fcis-31919	77	11	,	,	PUNCT
fcis-31919	77	12	xia	xia	PROPN
fcis-31919	77	13	,	,	PUNCT
fcis-31919	77	14	z.	z.	PROPN
fcis-31919	77	15	,	,	PUNCT
fcis-31919	77	16	wang	wang	PROPN
fcis-31919	77	17	,	,	PUNCT
fcis-31919	77	18	x.	x.	PROPN
fcis-31919	77	19	,	,	PUNCT
fcis-31919	77	20	wang	wang	PROPN
fcis-31919	77	21	,	,	PUNCT
fcis-31919	77	22	y.	y.	PROPN
fcis-31919	77	23	,	,	PUNCT
fcis-31919	77	24	qi	qi	PROPN
fcis-31919	77	25	,	,	PUNCT
fcis-31919	77	26	s.	s.	PROPN
fcis-31919	77	27	,	,	PUNCT
fcis-31919	77	28	...	...	PUNCT
fcis-31919	77	29	&	&	CCONJ
fcis-31919	77	30	zhu	zhu	PROPN
fcis-31919	77	31	,	,	PUNCT
fcis-31919	77	32	c.	c.	PROPN
fcis-31919	77	33	(	(	PUNCT
fcis-31919	77	34	2024	2024	NUM
fcis-31919	77	35	)	)	PUNCT
fcis-31919	77	36	.	.	PUNCT
fcis-31919	78	1	rcbevdet	rcbevdet	NOUN
fcis-31919	78	2	:	:	PUNCT
fcis-31919	78	3	radar	radar	NOUN
fcis-31919	78	4	-	-	PUNCT
fcis-31919	78	5	camera	camera	NOUN
fcis-31919	78	6	fusion	fusion	NOUN
fcis-31919	78	7	in	in	ADP
fcis-31919	78	8	bird	bird	NOUN
fcis-31919	78	9	's	's	PART
fcis-31919	78	10	eye	eye	NOUN
fcis-31919	78	11	view	view	NOUN
fcis-31919	78	12	for	for	ADP
fcis-31919	78	13	3d	3d	NUM
fcis-31919	78	14	object	object	NOUN
fcis-31919	78	15	detection	detection	NOUN
fcis-31919	78	16	.	.	PUNCT
fcis-31919	79	1	in	in	ADP
fcis-31919	79	2	proceedings	proceeding	NOUN
fcis-31919	79	3	of	of	ADP
fcis-31919	79	4	the	the	DET
fcis-31919	79	5	ieee	ieee	NOUN
fcis-31919	79	6	/	/	SYM
fcis-31919	79	7	cvf	cvf	NOUN
fcis-31919	79	8	conference	conference	NOUN
fcis-31919	79	9	on	on	ADP
fcis-31919	79	10	computer	computer	NOUN
fcis-31919	79	11	vision	vision	NOUN
fcis-31919	79	12	and	and	CCONJ
fcis-31919	79	13	pattern	pattern	NOUN
fcis-31919	79	14	recognition	recognition	NOUN
fcis-31919	79	15	.	.	PUNCT
fcis-31919	80	1	seattle	seattle	PROPN
fcis-31919	80	2	,	,	PUNCT
fcis-31919	80	3	wa	wa	PROPN
fcis-31919	80	4	,	,	PUNCT
fcis-31919	80	5	usa	usa	PROPN
fcis-31919	80	6	.	.	PROPN
fcis-31919	80	7	pp	pp	PROPN
fcis-31919	80	8	.	.	PUNCT
fcis-31919	81	1	14928	14928	NUM
fcis-31919	81	2	-	-	SYM
fcis-31919	81	3	14937	14937	NUM
fcis-31919	81	4	.	.	PUNCT
fcis-31919	82	1	[	[	X
fcis-31919	82	2	8	8	NUM
fcis-31919	82	3	]	]	X
fcis-31919	82	4	ganin	ganin	PROPN
fcis-31919	82	5	,	,	PUNCT
fcis-31919	82	6	y.	y.	PROPN
fcis-31919	82	7	,	,	PUNCT
fcis-31919	82	8	ustinova	ustinova	PROPN
fcis-31919	82	9	,	,	PUNCT
fcis-31919	82	10	e.	e.	PROPN
fcis-31919	82	11	,	,	PUNCT
fcis-31919	82	12	ajakan	ajakan	PROPN
fcis-31919	82	13	,	,	PUNCT
fcis-31919	82	14	h.	h.	PROPN
fcis-31919	82	15	,	,	PUNCT
fcis-31919	82	16	germain	germain	PROPN
fcis-31919	82	17	,	,	PUNCT
fcis-31919	82	18	p.	p.	PROPN
fcis-31919	82	19	,	,	PUNCT
fcis-31919	82	20	larochelle	larochelle	PROPN
fcis-31919	82	21	,	,	PUNCT
fcis-31919	82	22	h.	h.	PROPN
fcis-31919	82	23	,	,	PUNCT
fcis-31919	82	24	laviolette	laviolette	PROPN
fcis-31919	82	25	,	,	PUNCT
fcis-31919	82	26	f.	f.	PROPN
fcis-31919	82	27	,	,	PUNCT
fcis-31919	82	28	...	...	PUNCT
fcis-31919	82	29	&	&	CCONJ
fcis-31919	82	30	lempitsky	lempitsky	PROPN
fcis-31919	82	31	,	,	PUNCT
fcis-31919	82	32	v.	v.	PROPN
fcis-31919	82	33	(	(	PUNCT
fcis-31919	82	34	2016	2016	NUM
fcis-31919	82	35	)	)	PUNCT
fcis-31919	82	36	.	.	PUNCT
fcis-31919	83	1	domainadversarial	domainadversarial	ADJ
fcis-31919	83	2	training	training	NOUN
fcis-31919	83	3	of	of	ADP
fcis-31919	83	4	neural	neural	ADJ
fcis-31919	83	5	networks	network	NOUN
fcis-31919	83	6	.	.	PUNCT
fcis-31919	84	1	journal	journal	NOUN
fcis-31919	84	2	of	of	ADP
fcis-31919	84	3	machine	machine	NOUN
fcis-31919	84	4	learning	learn	VERB
fcis-31919	84	5	research	research	NOUN
fcis-31919	84	6	,	,	PUNCT
fcis-31919	84	7	17(59	17(59	NUM
fcis-31919	84	8	)	)	PUNCT
fcis-31919	84	9	,	,	PUNCT
fcis-31919	84	10	1	1	NUM
fcis-31919	84	11	-	-	SYM
fcis-31919	84	12	35	35	NUM
fcis-31919	84	13	.	.	PUNCT
fcis-31919	85	1	[	[	X
fcis-31919	85	2	9	9	NUM
fcis-31919	85	3	]	]	X
fcis-31919	85	4	chalkidis	chalkidis	PROPN
fcis-31919	85	5	,	,	PUNCT
fcis-31919	85	6	i.	i.	PROPN
fcis-31919	85	7	,	,	PUNCT
fcis-31919	85	8	androutsopoulos	androutsopoulo	NOUN
fcis-31919	85	9	,	,	PUNCT
fcis-31919	85	10	i.	i.	PROPN
fcis-31919	85	11	,	,	PUNCT
fcis-31919	85	12	&	&	CCONJ
fcis-31919	85	13	aletras	aletras	PROPN
fcis-31919	85	14	,	,	PUNCT
fcis-31919	85	15	n.	n.	NOUN
fcis-31919	85	16	(	(	PUNCT
fcis-31919	85	17	2019	2019	NUM
fcis-31919	85	18	)	)	PUNCT
fcis-31919	85	19	.	.	PUNCT
fcis-31919	86	1	legal	legal	ADJ
fcis-31919	86	2	named	name	VERB
fcis-31919	86	3	entity	entity	NOUN
fcis-31919	86	4	recognition	recognition	NOUN
fcis-31919	86	5	with	with	ADP
fcis-31919	86	6	deep	deep	ADJ
fcis-31919	86	7	neural	neural	ADJ
fcis-31919	86	8	networks	network	NOUN
fcis-31919	86	9	.	.	PUNCT
fcis-31919	87	1	in	in	ADP
fcis-31919	87	2	proceedings	proceeding	NOUN
fcis-31919	87	3	of	of	ADP
fcis-31919	87	4	the	the	DET
fcis-31919	87	5	57th	57th	ADJ
fcis-31919	87	6	annual	annual	ADJ
fcis-31919	87	7	meeting	meeting	NOUN
fcis-31919	87	8	of	of	ADP
fcis-31919	87	9	the	the	DET
fcis-31919	87	10	association	association	NOUN
fcis-31919	87	11	for	for	ADP
fcis-31919	87	12	computational	computational	ADJ
fcis-31919	87	13	linguistics	linguistic	NOUN
fcis-31919	87	14	(	(	PUNCT
fcis-31919	87	15	acl	acl	PROPN
fcis-31919	87	16	)	)	PUNCT
fcis-31919	87	17	.	.	PUNCT
fcis-31919	88	1	florence	florence	PROPN
fcis-31919	88	2	,	,	PUNCT
fcis-31919	88	3	italy	italy	PROPN
fcis-31919	88	4	.	.	PUNCT
fcis-31919	89	1	pp	pp	X
fcis-31919	89	2	.	.	PUNCT
fcis-31919	90	1	6318–6324	6318–6324	NUM
fcis-31919	90	2	.	.	PUNCT
fcis-31919	91	1	[	[	X
fcis-31919	91	2	10	10	NUM
fcis-31919	91	3	]	]	X
fcis-31919	91	4	chen	chen	PROPN
fcis-31919	91	5	,	,	PUNCT
fcis-31919	91	6	z.	z.	PROPN
fcis-31919	91	7	,	,	PUNCT
fcis-31919	91	8	wang	wang	PROPN
fcis-31919	91	9	,	,	PUNCT
fcis-31919	91	10	l.	l.	PROPN
fcis-31919	91	11	x.	x.	PROPN
fcis-31919	91	12	,	,	PUNCT
fcis-31919	91	13	wu	wu	PROPN
fcis-31919	91	14	,	,	PUNCT
fcis-31919	91	15	y.	y.	PROPN
fcis-31919	91	16	b.	b.	PROPN
fcis-31919	91	17	,	,	PUNCT
fcis-31919	91	18	liao	liao	PROPN
fcis-31919	91	19	,	,	PUNCT
fcis-31919	91	20	x.	x.	PROPN
fcis-31919	91	21	,	,	PUNCT
fcis-31919	91	22	tian	tian	PROPN
fcis-31919	91	23	,	,	PUNCT
fcis-31919	91	24	y.	y.	PROPN
fcis-31919	91	25	,	,	PUNCT
fcis-31919	91	26	&	&	CCONJ
fcis-31919	91	27	zhong	zhong	PROPN
fcis-31919	91	28	,	,	PUNCT
fcis-31919	91	29	j.	j.	PROPN
fcis-31919	91	30	(	(	PUNCT
fcis-31919	91	31	2024	2024	NUM
fcis-31919	91	32	)	)	PUNCT
fcis-31919	91	33	.	.	PUNCT
fcis-31919	92	1	an	an	DET
fcis-31919	92	2	effective	effective	ADJ
fcis-31919	92	3	deployment	deployment	NOUN
fcis-31919	92	4	of	of	ADP
fcis-31919	92	5	diffusion	diffusion	NOUN
fcis-31919	92	6	lm	lm	INTJ
fcis-31919	92	7	for	for	ADP
fcis-31919	92	8	data	datum	NOUN
fcis-31919	92	9	augmentation	augmentation	NOUN
fcis-31919	92	10	in	in	ADP
fcis-31919	92	11	low	low	ADJ
fcis-31919	92	12	-	-	PUNCT
fcis-31919	92	13	resource	resource	NOUN
fcis-31919	92	14	sentiment	sentiment	NOUN
fcis-31919	92	15	classification	classification	NOUN
fcis-31919	92	16	(	(	PUNCT
fcis-31919	92	17	paper	paper	NOUN
fcis-31919	92	18	presentation	presentation	NOUN
fcis-31919	92	19	)	)	PUNCT
fcis-31919	92	20	.	.	PUNCT
fcis-31919	93	1	proceedings	proceeding	NOUN
fcis-31919	93	2	of	of	ADP
fcis-31919	93	3	the	the	DET
fcis-31919	93	4	conference	conference	NOUN
fcis-31919	93	5	on	on	ADP
fcis-31919	93	6	empirical	empirical	ADJ
fcis-31919	93	7	methods	method	NOUN
fcis-31919	93	8	in	in	ADP
fcis-31919	93	9	natural	natural	ADJ
fcis-31919	93	10	language	language	NOUN
fcis-31919	93	11	processing	processing	NOUN
fcis-31919	93	12	(	(	PUNCT
fcis-31919	93	13	emnlp	emnlp	ADJ
fcis-31919	93	14	)	)	PUNCT
fcis-31919	93	15	,	,	PUNCT
fcis-31919	93	16	miami	miami	PROPN
fcis-31919	93	17	,	,	PUNCT
fcis-31919	93	18	fl	fl	PROPN
fcis-31919	93	19	,	,	PUNCT
fcis-31919	93	20	united	united	PROPN
fcis-31919	93	21	states	states	PROPN
fcis-31919	93	22	.	.	PUNCT
fcis-31919	94	1	pp	pp	ADV
fcis-31919	94	2	.	.	PUNCT
fcis-31919	95	1	1	1	NUM
fcis-31919	95	2	-	-	SYM
fcis-31919	95	3	14	14	NUM
fcis-31919	95	4	.	.	PUNCT
fcis-31919	96	1	[	[	X
fcis-31919	96	2	11	11	NUM
fcis-31919	96	3	]	]	SYM
fcis-31919	96	4	li	li	PROPN
fcis-31919	96	5	,	,	PUNCT
fcis-31919	96	6	b.	b.	PROPN
fcis-31919	96	7	,	,	PUNCT
fcis-31919	96	8	zhou	zhou	PROPN
fcis-31919	96	9	,	,	PUNCT
fcis-31919	96	10	c.	c.	PROPN
fcis-31919	96	11	,	,	PUNCT
fcis-31919	96	12	chen	chen	PROPN
fcis-31919	96	13	,	,	PUNCT
fcis-31919	96	14	x.	x.	PROPN
fcis-31919	96	15	,	,	PUNCT
fcis-31919	96	16	&	&	CCONJ
fcis-31919	96	17	wang	wang	PROPN
fcis-31919	96	18	,	,	PUNCT
fcis-31919	96	19	y.	y.	PROPN
fcis-31919	96	20	(	(	PUNCT
fcis-31919	96	21	2021	2021	NUM
fcis-31919	96	22	)	)	PUNCT
fcis-31919	96	23	.	.	PUNCT
fcis-31919	97	1	meta	meta	VERB
fcis-31919	97	2	-	-	PUNCT
fcis-31919	97	3	learning	learning	NOUN
fcis-31919	97	4	for	for	ADP
fcis-31919	97	5	few	few	ADJ
fcis-31919	97	6	-	-	PUNCT
fcis-31919	97	7	shot	shot	NOUN
fcis-31919	97	8	cross	cross	ADJ
fcis-31919	97	9	-	-	ADJ
fcis-31919	97	10	domain	domain	ADJ
fcis-31919	97	11	sentiment	sentiment	NOUN
fcis-31919	97	12	analysis	analysis	NOUN
fcis-31919	97	13	.	.	PUNCT
fcis-31919	98	1	proceedings	proceeding	NOUN
fcis-31919	98	2	of	of	ADP
fcis-31919	98	3	the	the	DET
fcis-31919	98	4	2021	2021	NUM
fcis-31919	98	5	conference	conference	NOUN
fcis-31919	98	6	on	on	ADP
fcis-31919	98	7	empirical	empirical	ADJ
fcis-31919	98	8	methods	method	NOUN
fcis-31919	98	9	in	in	ADP
fcis-31919	98	10	natural	natural	ADJ
fcis-31919	98	11	language	language	NOUN
fcis-31919	98	12	processing	processing	NOUN
fcis-31919	98	13	(	(	PUNCT
fcis-31919	98	14	emnlp	emnlp	ADJ
fcis-31919	98	15	)	)	PUNCT
fcis-31919	98	16	.	.	PUNCT
fcis-31919	99	1	punta	punta	PROPN
fcis-31919	99	2	cana	cana	PROPN
fcis-31919	99	3	,	,	PUNCT
fcis-31919	99	4	dominican	dominican	PROPN
fcis-31919	99	5	republic	republic	NOUN
fcis-31919	99	6	.	.	PUNCT
fcis-31919	100	1	[	[	X
fcis-31919	100	2	12	12	NUM
fcis-31919	100	3	]	]	PUNCT
fcis-31919	100	4	kusner	kusner	NOUN
fcis-31919	100	5	,	,	PUNCT
fcis-31919	100	6	m.	m.	NOUN
fcis-31919	100	7	j.	j.	PROPN
fcis-31919	100	8	,	,	PUNCT
fcis-31919	100	9	loftus	loftus	PROPN
fcis-31919	100	10	,	,	PUNCT
fcis-31919	100	11	j.	j.	PROPN
fcis-31919	100	12	,	,	PUNCT
fcis-31919	100	13	russell	russell	PROPN
fcis-31919	100	14	,	,	PUNCT
fcis-31919	100	15	c.	c.	PROPN
fcis-31919	100	16	,	,	PUNCT
fcis-31919	100	17	&	&	CCONJ
fcis-31919	100	18	silva	silva	PROPN
fcis-31919	100	19	,	,	PUNCT
fcis-31919	100	20	r.	r.	PROPN
fcis-31919	100	21	(	(	PUNCT
fcis-31919	100	22	2017	2017	NUM
fcis-31919	100	23	)	)	PUNCT
fcis-31919	100	24	.	.	PUNCT
fcis-31919	101	1	counterfactual	counterfactual	ADJ
fcis-31919	101	2	fairness	fairness	NOUN
fcis-31919	101	3	.	.	PUNCT
fcis-31919	102	1	in	in	ADP
fcis-31919	102	2	proceedings	proceeding	NOUN
fcis-31919	102	3	of	of	ADP
fcis-31919	102	4	the	the	DET
fcis-31919	102	5	31st	31st	ADJ
fcis-31919	102	6	international	international	ADJ
fcis-31919	102	7	conference	conference	NOUN
fcis-31919	102	8	on	on	ADP
fcis-31919	102	9	neural	neural	ADJ
fcis-31919	102	10	information	information	NOUN
fcis-31919	102	11	processing	processing	NOUN
fcis-31919	102	12	systems	system	NOUN
fcis-31919	102	13	(	(	PUNCT
fcis-31919	102	14	neurips	neurip	NOUN
fcis-31919	102	15	)	)	PUNCT
fcis-31919	102	16	.	.	PUNCT
fcis-31919	103	1	long	long	ADJ
fcis-31919	103	2	beach	beach	NOUN
fcis-31919	103	3	,	,	PUNCT
fcis-31919	103	4	ca	ca	PROPN
fcis-31919	103	5	,	,	PUNCT
fcis-31919	103	6	usa	usa	PROPN
fcis-31919	103	7	.	.	PROPN
fcis-31919	104	1	pp	pp	PROPN
fcis-31919	104	2	.	.	PUNCT
fcis-31919	105	1	4066–4076	4066–4076	NUM
fcis-31919	105	2	.	.	PUNCT
fcis-31919	106	1	[	[	X
fcis-31919	106	2	13	13	NUM
fcis-31919	106	3	]	]	SYM
fcis-31919	106	4	yang	yang	PROPN
fcis-31919	106	5	,	,	PUNCT
fcis-31919	106	6	z.	z.	PROPN
fcis-31919	106	7	,	,	PUNCT
fcis-31919	106	8	yang	yang	PROPN
fcis-31919	106	9	,	,	PUNCT
fcis-31919	106	10	d.	d.	PROPN
fcis-31919	106	11	,	,	PUNCT
fcis-31919	106	12	dyer	dyer	PROPN
fcis-31919	106	13	,	,	PUNCT
fcis-31919	106	14	c.	c.	PROPN
fcis-31919	106	15	,	,	PUNCT
fcis-31919	106	16	he	he	PRON
fcis-31919	106	17	,	,	PUNCT
fcis-31919	106	18	x.	x.	PROPN
fcis-31919	106	19	,	,	PUNCT
fcis-31919	106	20	smola	smola	PROPN
fcis-31919	106	21	,	,	PUNCT
fcis-31919	106	22	a.	a.	PROPN
fcis-31919	106	23	,	,	PUNCT
fcis-31919	106	24	&	&	CCONJ
fcis-31919	106	25	hovy	hovy	PROPN
fcis-31919	106	26	,	,	PUNCT
fcis-31919	106	27	e.	e.	PROPN
fcis-31919	106	28	(	(	PUNCT
fcis-31919	106	29	2016	2016	NUM
fcis-31919	106	30	)	)	PUNCT
fcis-31919	106	31	.	.	PUNCT
fcis-31919	107	1	hierarchical	hierarchical	ADJ
fcis-31919	107	2	attention	attention	NOUN
fcis-31919	107	3	networks	network	NOUN
fcis-31919	107	4	for	for	ADP
fcis-31919	107	5	document	document	NOUN
fcis-31919	107	6	classification	classification	NOUN
fcis-31919	107	7	.	.	PUNCT
fcis-31919	108	1	proceedings	proceeding	NOUN
fcis-31919	108	2	of	of	ADP
fcis-31919	108	3	the	the	DET
fcis-31919	108	4	2016	2016	NUM
fcis-31919	108	5	conference	conference	NOUN
fcis-31919	108	6	of	of	ADP
fcis-31919	108	7	the	the	DET
fcis-31919	108	8	north	north	ADJ
fcis-31919	108	9	american	american	ADJ
fcis-31919	108	10	chapter	chapter	NOUN
fcis-31919	108	11	of	of	ADP
fcis-31919	108	12	the	the	DET
fcis-31919	108	13	association	association	NOUN
fcis-31919	108	14	for	for	ADP
fcis-31919	108	15	computational	computational	ADJ
fcis-31919	108	16	linguistics	linguistic	NOUN
fcis-31919	108	17	:	:	PUNCT
fcis-31919	108	18	human	human	ADJ
fcis-31919	108	19	language	language	NOUN
fcis-31919	108	20	technologies	technology	NOUN
fcis-31919	108	21	(	(	PUNCT
fcis-31919	108	22	naacl	naacl	PROPN
fcis-31919	108	23	-	-	PUNCT
fcis-31919	108	24	hlt	hlt	NOUN
fcis-31919	108	25	)	)	PUNCT
fcis-31919	108	26	.	.	PUNCT
fcis-31919	109	1	san	san	PROPN
fcis-31919	109	2	diego	diego	PROPN
fcis-31919	109	3	,	,	PUNCT
fcis-31919	109	4	ca	ca	PROPN
fcis-31919	109	5	,	,	PUNCT
fcis-31919	109	6	usa	usa	PROPN
fcis-31919	109	7	.	.	PROPN
fcis-31919	109	8	pp	pp	PROPN
fcis-31919	109	9	.	.	PUNCT
fcis-31919	109	10	1480–1489	1480–1489	NUM
fcis-31919	109	11	.	.	PUNCT
fcis-31919	110	1	[	[	X
fcis-31919	110	2	14	14	NUM
fcis-31919	110	3	]	]	PUNCT
fcis-31919	110	4	strizhkova	strizhkova	X
fcis-31919	110	5	,	,	PUNCT
fcis-31919	110	6	v.	v.	PROPN
fcis-31919	110	7	,	,	PUNCT
fcis-31919	110	8	kachmar	kachmar	PROPN
fcis-31919	110	9	,	,	PUNCT
fcis-31919	110	10	h.	h.	PROPN
fcis-31919	110	11	,	,	PUNCT
fcis-31919	110	12	chaptoukaev	chaptoukaev	PROPN
fcis-31919	110	13	,	,	PUNCT
fcis-31919	110	14	h.	h.	PROPN
fcis-31919	110	15	,	,	PUNCT
fcis-31919	110	16	kalandadze	kalandadze	PROPN
fcis-31919	110	17	,	,	PUNCT
fcis-31919	110	18	r.	r.	PROPN
fcis-31919	110	19	,	,	PUNCT
fcis-31919	110	20	kukhilava	kukhilava	PROPN
fcis-31919	110	21	,	,	PUNCT
fcis-31919	110	22	n.	n.	NOUN
fcis-31919	110	23	,	,	PUNCT
fcis-31919	110	24	tsmindashvili	tsmindashvili	NOUN
fcis-31919	110	25	,	,	PUNCT
fcis-31919	110	26	t.	t.	PROPN
fcis-31919	110	27	,	,	PUNCT
fcis-31919	110	28	...	...	PUNCT
fcis-31919	110	29	&	&	CCONJ
fcis-31919	110	30	ferrari	ferrari	PROPN
fcis-31919	110	31	,	,	PUNCT
fcis-31919	110	32	l.	l.	PROPN
fcis-31919	110	33	m.	m.	PROPN
fcis-31919	110	34	(	(	PUNCT
fcis-31919	110	35	2024	2024	NUM
fcis-31919	110	36	)	)	PUNCT
fcis-31919	110	37	.	.	PUNCT
fcis-31919	111	1	mvp	mvp	NOUN
fcis-31919	111	2	:	:	PUNCT
fcis-31919	111	3	multimodal	multimodal	ADJ
fcis-31919	111	4	emotion	emotion	NOUN
fcis-31919	111	5	recognition	recognition	NOUN
fcis-31919	111	6	based	base	VERB
fcis-31919	111	7	on	on	ADP
fcis-31919	111	8	video	video	NOUN
fcis-31919	111	9	and	and	CCONJ
fcis-31919	111	10	physiological	physiological	ADJ
fcis-31919	111	11	signals	signal	NOUN
fcis-31919	111	12	.	.	PUNCT
fcis-31919	112	1	in	in	ADP
fcis-31919	112	2	european	european	ADJ
fcis-31919	112	3	conference	conference	NOUN
fcis-31919	112	4	on	on	ADP
fcis-31919	112	5	computer	computer	NOUN
fcis-31919	112	6	vision	vision	NOUN
fcis-31919	112	7	.	.	PUNCT
fcis-31919	113	1	cham	cham	PROPN
fcis-31919	113	2	:	:	PUNCT
fcis-31919	113	3	springer	springer	NOUN
fcis-31919	113	4	nature	nature	PROPN
fcis-31919	113	5	,	,	PUNCT
fcis-31919	113	6	switzerland	switzerland	PROPN
fcis-31919	113	7	.	.	PUNCT
fcis-31919	114	1	pp	pp	ADJ
fcis-31919	114	2	.	.	PUNCT
fcis-31919	115	1	101	101	NUM
fcis-31919	115	2	-	-	SYM
fcis-31919	115	3	116	116	NUM
fcis-31919	115	4	.	.	PUNCT
fcis-31919	116	1	[	[	X
fcis-31919	116	2	15	15	NUM
fcis-31919	116	3	]	]	X
fcis-31919	116	4	zhu	zhu	PROPN
fcis-31919	116	5	,	,	PUNCT
fcis-31919	116	6	x.	x.	PROPN
fcis-31919	116	7	,	,	PUNCT
fcis-31919	116	8	liu	liu	PROPN
fcis-31919	116	9	,	,	PUNCT
fcis-31919	116	10	y.	y.	PROPN
fcis-31919	116	11	,	,	PUNCT
fcis-31919	116	12	zhang	zhang	PROPN
fcis-31919	116	13	,	,	PUNCT
fcis-31919	116	14	l.	l.	PROPN
fcis-31919	116	15	,	,	PUNCT
fcis-31919	116	16	&	&	CCONJ
fcis-31919	116	17	wu	wu	PROPN
fcis-31919	116	18	,	,	PUNCT
fcis-31919	116	19	f.	f.	PROPN
fcis-31919	116	20	(	(	PUNCT
fcis-31919	116	21	2022	2022	NUM
fcis-31919	116	22	)	)	PUNCT
fcis-31919	116	23	.	.	PUNCT
fcis-31919	117	1	lightweight	lightweight	ADJ
fcis-31919	117	2	multimodal	multimodal	ADJ
fcis-31919	117	3	sentiment	sentiment	NOUN
fcis-31919	117	4	analysis	analysis	NOUN
fcis-31919	117	5	via	via	ADP
fcis-31919	117	6	knowledge	knowledge	NOUN
fcis-31919	117	7	distillation	distillation	NOUN
fcis-31919	117	8	.	.	PUNCT
fcis-31919	118	1	ieee	ieee	NOUN
fcis-31919	118	2	transactions	transaction	NOUN
fcis-31919	118	3	on	on	ADP
fcis-31919	118	4	affective	affective	ADJ
fcis-31919	118	5	computing	computing	NOUN
fcis-31919	118	6	,	,	PUNCT
fcis-31919	118	7	14(3	14(3	NUM
fcis-31919	118	8	)	)	PUNCT
fcis-31919	118	9	,	,	PUNCT
fcis-31919	118	10	1158	1158	NUM
fcis-31919	118	11	-	-	SYM
fcis-31919	118	12	1171	1171	NUM
fcis-31919	118	13	.	.	PUNCT
fcis-31919	119	1	[	[	X
fcis-31919	119	2	16	16	NUM
fcis-31919	119	3	]	]	X
fcis-31919	119	4	wang	wang	PROPN
fcis-31919	119	5	,	,	PUNCT
fcis-31919	119	6	h.	h.	PROPN
fcis-31919	119	7	,	,	PUNCT
fcis-31919	119	8	zhang	zhang	PROPN
fcis-31919	119	9	,	,	PUNCT
fcis-31919	119	10	y.	y.	PROPN
fcis-31919	119	11	,	,	PUNCT
fcis-31919	119	12	li	li	PROPN
fcis-31919	119	13	,	,	PUNCT
fcis-31919	119	14	j.	j.	PROPN
fcis-31919	119	15	,	,	PUNCT
fcis-31919	119	16	&	&	CCONJ
fcis-31919	119	17	song	song	PROPN
fcis-31919	119	18	,	,	PUNCT
fcis-31919	119	19	d.	d.	PROPN
fcis-31919	119	20	(	(	PUNCT
fcis-31919	119	21	2021	2021	NUM
fcis-31919	119	22	)	)	PUNCT
fcis-31919	119	23	.	.	PUNCT
fcis-31919	120	1	causal	causal	ADJ
fcis-31919	120	2	structure	structure	NOUN
fcis-31919	120	3	learning	learn	VERB
fcis-31919	120	4	for	for	ADP
fcis-31919	120	5	aspect	aspect	NOUN
fcis-31919	120	6	-	-	PUNCT
fcis-31919	120	7	based	base	VERB
fcis-31919	120	8	sentiment	sentiment	NOUN
fcis-31919	120	9	analysis	analysis	NOUN
fcis-31919	120	10	.	.	PUNCT
fcis-31919	121	1	proceedings	proceeding	NOUN
fcis-31919	121	2	of	of	ADP
fcis-31919	121	3	the	the	DET
fcis-31919	121	4	59th	59th	ADJ
fcis-31919	121	5	annual	annual	ADJ
fcis-31919	121	6	meeting	meeting	NOUN
fcis-31919	121	7	of	of	ADP
fcis-31919	121	8	the	the	DET
fcis-31919	121	9	association	association	NOUN
fcis-31919	121	10	for	for	ADP
fcis-31919	121	11	computational	computational	ADJ
fcis-31919	121	12	linguistics	linguistic	NOUN
fcis-31919	121	13	(	(	PUNCT
fcis-31919	121	14	acl	acl	PROPN
fcis-31919	121	15	)	)	PUNCT
fcis-31919	121	16	.	.	PUNCT
fcis-31919	122	1	bangkok	bangkok	PROPN
fcis-31919	122	2	,	,	PUNCT
fcis-31919	122	3	thailand	thailand	PROPN
fcis-31919	122	4	.	.	PUNCT
fcis-31919	123	1	[	[	X
fcis-31919	123	2	17	17	NUM
fcis-31919	123	3	]	]	X
fcis-31919	123	4	ungless	ungless	PROPN
fcis-31919	123	5	,	,	PUNCT
fcis-31919	123	6	e.	e.	PROPN
fcis-31919	123	7	l.	l.	PROPN
fcis-31919	123	8	,	,	PUNCT
fcis-31919	123	9	ross	ross	PROPN
fcis-31919	123	10	,	,	PUNCT
fcis-31919	123	11	b.	b.	PROPN
fcis-31919	123	12	,	,	PUNCT
fcis-31919	123	13	&	&	CCONJ
fcis-31919	123	14	belle	belle	PROPN
fcis-31919	123	15	,	,	PUNCT
fcis-31919	123	16	v.	v.	PROPN
fcis-31919	123	17	(	(	PUNCT
fcis-31919	123	18	2023	2023	NUM
fcis-31919	123	19	)	)	PUNCT
fcis-31919	123	20	.	.	PUNCT
fcis-31919	124	1	queerphobic	queerphobic	NOUN
fcis-31919	124	2	bias	bias	NOUN
fcis-31919	124	3	in	in	ADP
fcis-31919	124	4	sentiment	sentiment	NOUN
fcis-31919	124	5	analysis	analysis	NOUN
fcis-31919	124	6	.	.	PUNCT
fcis-31919	125	1	social	social	ADJ
fcis-31919	125	2	science	science	PROPN
fcis-31919	125	3	computer	computer	NOUN
fcis-31919	125	4	review	review	PROPN
fcis-31919	125	5	,	,	PUNCT
fcis-31919	125	6	41(6	41(6	NOUN
fcis-31919	125	7	)	)	PUNCT
fcis-31919	125	8	,	,	PUNCT
fcis-31919	125	9	1234–1250	1234–1250	NUM
fcis-31919	125	10	.	.	PUNCT
fcis-31919	126	1	[	[	X
fcis-31919	126	2	18	18	NUM
fcis-31919	126	3	]	]	SYM
fcis-31919	126	4	chakraborty	chakraborty	PROPN
fcis-31919	126	5	,	,	PUNCT
fcis-31919	126	6	s.	s.	PROPN
fcis-31919	126	7	,	,	PUNCT
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fcis-31919	126	9	,	,	PUNCT
fcis-31919	126	10	j.	j.	PROPN
fcis-31919	126	11	,	,	PUNCT
fcis-31919	126	12	yuan	yuan	PROPN
fcis-31919	126	13	,	,	PUNCT
fcis-31919	126	14	h.	h.	PROPN
fcis-31919	126	15	,	,	PUNCT
fcis-31919	126	16	koppel	koppel	PROPN
fcis-31919	126	17	,	,	PUNCT
fcis-31919	126	18	a.	a.	PROPN
fcis-31919	126	19	,	,	PUNCT
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fcis-31919	126	21	,	,	PUNCT
fcis-31919	126	22	f.	f.	PROPN
fcis-31919	126	23	,	,	PUNCT
fcis-31919	126	24	manocha	manocha	PROPN
fcis-31919	126	25	,	,	PUNCT
fcis-31919	126	26	d.	d.	PROPN
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fcis-31919	126	28	...	...	PUNCT
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fcis-31919	126	31	,	,	PUNCT
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fcis-31919	126	34	2024	2024	NUM
fcis-31919	126	35	)	)	PUNCT
fcis-31919	126	36	.	.	PUNCT
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fcis-31919	127	2	-	-	PUNCT
fcis-31919	127	3	rlhf	rlhf	NOUN
fcis-31919	127	4	:	:	PUNCT
fcis-31919	127	5	alignment	alignment	NOUN
fcis-31919	127	6	with	with	ADP
fcis-31919	127	7	diverse	diverse	ADJ
fcis-31919	127	8	human	human	ADJ
fcis-31919	127	9	preferences	preference	NOUN
fcis-31919	127	10	.	.	PUNCT
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fcis-31919	128	2	preprint	preprint	NOUN
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fcis-31919	128	4	.	.	PUNCT
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fcis-31919	129	3	]	]	SYM
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fcis-31919	129	6	t.	t.	PROPN
fcis-31919	129	7	,	,	PUNCT
fcis-31919	129	8	sahu	sahu	PROPN
fcis-31919	129	9	,	,	PUNCT
fcis-31919	129	10	a.	a.	PROPN
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fcis-31919	129	12	,	,	PUNCT
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fcis-31919	129	14	,	,	PUNCT
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fcis-31919	129	16	,	,	PUNCT
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fcis-31919	129	18	,	,	PUNCT
fcis-31919	129	19	m.	m.	NOUN
fcis-31919	129	20	,	,	PUNCT
fcis-31919	129	21	talwalkar	talwalkar	PROPN
fcis-31919	129	22	,	,	PUNCT
fcis-31919	129	23	a.	a.	PROPN
fcis-31919	129	24	,	,	PUNCT
fcis-31919	129	25	&	&	CCONJ
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fcis-31919	129	27	,	,	PUNCT
fcis-31919	129	28	v.	v.	PROPN
fcis-31919	129	29	(	(	PUNCT
fcis-31919	129	30	2020	2020	NUM
fcis-31919	129	31	)	)	PUNCT
fcis-31919	129	32	.	.	PUNCT
fcis-31919	129	33	federated	federate	VERB
fcis-31919	129	34	learning	learning	NOUN
fcis-31919	129	35	for	for	ADP
fcis-31919	129	36	privacy	privacy	NOUN
fcis-31919	129	37	-	-	PUNCT
fcis-31919	129	38	preserving	preserve	VERB
fcis-31919	129	39	sentiment	sentiment	NOUN
fcis-31919	129	40	analysis	analysis	NOUN
fcis-31919	129	41	.	.	PUNCT
fcis-31919	130	1	ieee	ieee	NOUN
fcis-31919	130	2	transactions	transaction	NOUN
fcis-31919	130	3	on	on	ADP
fcis-31919	130	4	knowledge	knowledge	NOUN
fcis-31919	130	5	and	and	CCONJ
fcis-31919	130	6	data	datum	NOUN
fcis-31919	130	7	engineering	engineering	NOUN
fcis-31919	130	8	,	,	PUNCT
fcis-31919	130	9	33(12	33(12	NUM
fcis-31919	130	10	)	)	PUNCT
fcis-31919	130	11	,	,	PUNCT
fcis-31919	130	12	4850	4850	NUM
fcis-31919	130	13	-	-	SYM
fcis-31919	130	14	4863	4863	NUM
fcis-31919	130	15	.	.	PUNCT
fcis-31919	131	1	[	[	X
fcis-31919	131	2	20	20	NUM
fcis-31919	131	3	]	]	X
fcis-31919	131	4	lan	lan	PROPN
fcis-31919	131	5	,	,	PUNCT
fcis-31919	131	6	z.	z.	PROPN
fcis-31919	131	7	,	,	PUNCT
fcis-31919	131	8	chen	chen	PROPN
fcis-31919	131	9	,	,	PUNCT
fcis-31919	131	10	m.	m.	NOUN
fcis-31919	131	11	,	,	PUNCT
fcis-31919	131	12	goodman	goodman	PROPN
fcis-31919	131	13	,	,	PUNCT
fcis-31919	131	14	s.	s.	PROPN
fcis-31919	131	15	,	,	PUNCT
fcis-31919	131	16	gimpel	gimpel	PROPN
fcis-31919	131	17	,	,	PUNCT
fcis-31919	131	18	k.	k.	PROPN
fcis-31919	131	19	,	,	PUNCT
fcis-31919	131	20	sharma	sharma	PROPN
fcis-31919	131	21	,	,	PUNCT
fcis-31919	131	22	p.	p.	PROPN
fcis-31919	131	23	,	,	PUNCT
fcis-31919	131	24	&	&	CCONJ
fcis-31919	131	25	soricut	soricut	PROPN
fcis-31919	131	26	,	,	PUNCT
fcis-31919	131	27	r.	r.	PROPN
fcis-31919	131	28	(	(	PUNCT
fcis-31919	131	29	2019	2019	NUM
fcis-31919	131	30	)	)	PUNCT
fcis-31919	131	31	.	.	PUNCT
fcis-31919	132	1	albert	albert	PROPN
fcis-31919	132	2	:	:	PUNCT
fcis-31919	132	3	a	a	DET
fcis-31919	132	4	lite	lite	ADJ
fcis-31919	132	5	bert	bert	NOUN
fcis-31919	132	6	for	for	ADP
fcis-31919	132	7	self	self	NOUN
fcis-31919	132	8	-	-	PUNCT
fcis-31919	132	9	supervised	supervise	VERB
fcis-31919	132	10	learning	learning	NOUN
fcis-31919	132	11	of	of	ADP
fcis-31919	132	12	language	language	NOUN
fcis-31919	132	13	representations	representation	NOUN
fcis-31919	132	14	.	.	PUNCT
fcis-31919	133	1	arxiv	arxiv	PROPN
fcis-31919	133	2	preprint	preprint	PROPN
fcis-31919	133	3	arxiv	arxiv	PROPN
fcis-31919	133	4	:	:	PUNCT
fcis-31919	133	5	1909	1909	NUM
fcis-31919	133	6	.	.	PUNCT
fcis-31919	133	7	11942	11942	NUM
fcis-31919	133	8	.	.	PUNCT
fcis-31919	134	1	[	[	X
fcis-31919	134	2	21	21	NUM
fcis-31919	134	3	]	]	X
fcis-31919	134	4	ganin	ganin	PROPN
fcis-31919	134	5	,	,	PUNCT
fcis-31919	134	6	y.	y.	PROPN
fcis-31919	134	7	,	,	PUNCT
fcis-31919	134	8	ustinova	ustinova	PROPN
fcis-31919	134	9	,	,	PUNCT
fcis-31919	134	10	e.	e.	PROPN
fcis-31919	134	11	,	,	PUNCT
fcis-31919	134	12	ajakan	ajakan	PROPN
fcis-31919	134	13	,	,	PUNCT
fcis-31919	134	14	h.	h.	PROPN
fcis-31919	134	15	,	,	PUNCT
fcis-31919	134	16	germain	germain	PROPN
fcis-31919	134	17	,	,	PUNCT
fcis-31919	134	18	p.	p.	PROPN
fcis-31919	134	19	,	,	PUNCT
fcis-31919	134	20	larochelle	larochelle	PROPN
fcis-31919	134	21	,	,	PUNCT
fcis-31919	134	22	h.	h.	PROPN
fcis-31919	134	23	,	,	PUNCT
fcis-31919	134	24	laviolette	laviolette	PROPN
fcis-31919	134	25	,	,	PUNCT
fcis-31919	134	26	f.	f.	PROPN
fcis-31919	134	27	,	,	PUNCT
fcis-31919	134	28	...	...	PUNCT
fcis-31919	134	29	&	&	CCONJ
fcis-31919	134	30	lempitsky	lempitsky	PROPN
fcis-31919	134	31	,	,	PUNCT
fcis-31919	134	32	v.	v.	PROPN
fcis-31919	134	33	(	(	PUNCT
fcis-31919	134	34	2016	2016	NUM
fcis-31919	134	35	)	)	PUNCT
fcis-31919	134	36	.	.	PUNCT
fcis-31919	135	1	domainadversarial	domainadversarial	ADJ
fcis-31919	135	2	neural	neural	ADJ
fcis-31919	135	3	networks	network	NOUN
fcis-31919	135	4	.	.	PUNCT
fcis-31919	136	1	journal	journal	NOUN
fcis-31919	136	2	of	of	ADP
fcis-31919	136	3	machine	machine	NOUN
fcis-31919	136	4	learning	learn	VERB
fcis-31919	136	5	research	research	NOUN
fcis-31919	136	6	,	,	PUNCT
fcis-31919	136	7	17(1	17(1	NUM
fcis-31919	136	8	)	)	PUNCT
fcis-31919	136	9	,	,	PUNCT
fcis-31919	136	10	2096	2096	NUM
fcis-31919	136	11	-	-	SYM
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fcis-31919	136	13	.	.	PUNCT