id	sid	tid	token	lemma	pos
fcis-31674	1	1	frontiers	frontier	NOUN
fcis-31674	1	2	in	in	ADP
fcis-31674	1	3	computing	computing	NOUN
fcis-31674	1	4	and	and	CCONJ
fcis-31674	1	5	intelligent	intelligent	ADJ
fcis-31674	1	6	systems	system	NOUN
fcis-31674	1	7	issn	issn	VERB
fcis-31674	1	8	:	:	PUNCT
fcis-31674	1	9	2832	2832	NUM
fcis-31674	1	10	-	-	SYM
fcis-31674	1	11	6024	6024	NUM
fcis-31674	1	12	|	|	NOUN
fcis-31674	1	13	vol	vol	NOUN
fcis-31674	1	14	.	.	PROPN
fcis-31674	2	1	13	13	NUM
fcis-31674	2	2	,	,	PUNCT
fcis-31674	2	3	no	no	INTJ
fcis-31674	2	4	.	.	NOUN
fcis-31674	2	5	2	2	NUM
fcis-31674	2	6	,	,	PUNCT
fcis-31674	2	7	2025	2025	NUM
fcis-31674	2	8	106	106	NUM
fcis-31674	2	9	survey	survey	NOUN
fcis-31674	2	10	on	on	ADP
fcis-31674	2	11	data‐driven	data‐driven	DET
fcis-31674	2	12	intelligent	intelligent	ADJ
fcis-31674	2	13	computing	computing	NOUN
fcis-31674	2	14	and	and	CCONJ
fcis-31674	2	15	its	its	PRON
fcis-31674	2	16	applications	application	NOUN
fcis-31674	2	17	jiaqi	jiaqi	PROPN
fcis-31674	2	18	zhang	zhang	PROPN
fcis-31674	2	19	1	1	NUM
fcis-31674	2	20	,	,	PUNCT
fcis-31674	2	21	dongpo	dongpo	NOUN
fcis-31674	2	22	zhang	zhang	PROPN
fcis-31674	2	23	1	1	NUM
fcis-31674	2	24	and	and	CCONJ
fcis-31674	2	25	xiaoqian	xiaoqian	NOUN
fcis-31674	2	26	huang	huang	PROPN
fcis-31674	2	27	2	2	NUM
fcis-31674	2	28	1	1	NUM
fcis-31674	2	29	school	school	NOUN
fcis-31674	2	30	of	of	ADP
fcis-31674	2	31	information	information	NOUN
fcis-31674	2	32	network	network	NOUN
fcis-31674	2	33	security	security	NOUN
fcis-31674	2	34	,	,	PUNCT
fcis-31674	2	35	xinjiang	xinjiang	PROPN
fcis-31674	2	36	university	university	PROPN
fcis-31674	2	37	of	of	ADP
fcis-31674	2	38	political	political	ADJ
fcis-31674	2	39	science	science	NOUN
fcis-31674	2	40	and	and	CCONJ
fcis-31674	2	41	law	law	NOUN
fcis-31674	2	42	,	,	PUNCT
fcis-31674	2	43	tumushuke	tumushuke	ADJ
fcis-31674	2	44	xinjiang	xinjiang	PROPN
fcis-31674	2	45	,	,	PUNCT
fcis-31674	2	46	843900	843900	NUM
fcis-31674	2	47	,	,	PUNCT
fcis-31674	2	48	china	china	PROPN
fcis-31674	2	49	2	2	NUM
fcis-31674	2	50	department	department	NOUN
fcis-31674	2	51	of	of	ADP
fcis-31674	2	52	state	state	NOUN
fcis-31674	2	53	-	-	PUNCT
fcis-31674	2	54	owned	own	VERB
fcis-31674	2	55	assets	asset	NOUN
fcis-31674	2	56	,	,	PUNCT
fcis-31674	2	57	finance	finance	NOUN
fcis-31674	2	58	bureau	bureau	NOUN
fcis-31674	2	59	of	of	ADP
fcis-31674	2	60	the	the	DET
fcis-31674	2	61	prefecture	prefecture	NOUN
fcis-31674	2	62	-	-	PUNCT
fcis-31674	2	63	level	level	NOUN
fcis-31674	2	64	city	city	NOUN
fcis-31674	2	65	,	,	PUNCT
fcis-31674	2	66	tumushuke	tumushuke	ADJ
fcis-31674	2	67	xinjiang	xinjiang	PROPN
fcis-31674	2	68	,	,	PUNCT
fcis-31674	2	69	843900	843900	NUM
fcis-31674	2	70	,	,	PUNCT
fcis-31674	2	71	china	china	PROPN
fcis-31674	2	72	abstract	abstract	NOUN
fcis-31674	2	73	:	:	PUNCT
fcis-31674	2	74	in	in	ADP
fcis-31674	2	75	the	the	DET
fcis-31674	2	76	era	era	NOUN
fcis-31674	2	77	of	of	ADP
fcis-31674	2	78	big	big	ADJ
fcis-31674	2	79	data	datum	NOUN
fcis-31674	2	80	with	with	ADP
fcis-31674	2	81	the	the	DET
fcis-31674	2	82	rapid	rapid	ADJ
fcis-31674	2	83	development	development	NOUN
fcis-31674	2	84	of	of	ADP
fcis-31674	2	85	information	information	NOUN
fcis-31674	2	86	technology	technology	NOUN
fcis-31674	2	87	,	,	PUNCT
fcis-31674	2	88	data	datum	NOUN
fcis-31674	2	89	presents	present	VERB
fcis-31674	2	90	the	the	DET
fcis-31674	2	91	characteristics	characteristic	NOUN
fcis-31674	2	92	of	of	ADP
fcis-31674	2	93	massive	massive	ADJ
fcis-31674	2	94	,	,	PUNCT
fcis-31674	2	95	diverse	diverse	ADJ
fcis-31674	2	96	and	and	CCONJ
fcis-31674	2	97	high	high	ADJ
fcis-31674	2	98	-	-	PUNCT
fcis-31674	2	99	speed	speed	NOUN
fcis-31674	2	100	.	.	PUNCT
fcis-31674	3	1	traditional	traditional	ADJ
fcis-31674	3	2	computing	computing	NOUN
fcis-31674	3	3	paradigms	paradigm	NOUN
fcis-31674	3	4	face	face	VERB
fcis-31674	3	5	challenges	challenge	NOUN
fcis-31674	3	6	such	such	ADJ
fcis-31674	3	7	as	as	ADP
fcis-31674	3	8	low	low	ADJ
fcis-31674	3	9	efficiency	efficiency	NOUN
fcis-31674	3	10	and	and	CCONJ
fcis-31674	3	11	poor	poor	ADJ
fcis-31674	3	12	adaptability	adaptability	NOUN
fcis-31674	3	13	when	when	SCONJ
fcis-31674	3	14	dealing	deal	VERB
fcis-31674	3	15	with	with	ADP
fcis-31674	3	16	large	large	ADJ
fcis-31674	3	17	-	-	PUNCT
fcis-31674	3	18	scale	scale	NOUN
fcis-31674	3	19	,	,	PUNCT
fcis-31674	3	20	high	high	ADJ
fcis-31674	3	21	-	-	PUNCT
fcis-31674	3	22	dimensional	dimensional	ADJ
fcis-31674	3	23	and	and	CCONJ
fcis-31674	3	24	complex	complex	ADJ
fcis-31674	3	25	data	datum	NOUN
fcis-31674	3	26	,	,	PUNCT
fcis-31674	3	27	and	and	CCONJ
fcis-31674	3	28	data	datum	NOUN
fcis-31674	3	29	-	-	PUNCT
fcis-31674	3	30	driven	drive	VERB
fcis-31674	3	31	intelligent	intelligent	ADJ
fcis-31674	3	32	computing	computing	NOUN
fcis-31674	3	33	emerges	emerge	NOUN
fcis-31674	3	34	.	.	PUNCT
fcis-31674	4	1	with	with	ADP
fcis-31674	4	2	the	the	DET
fcis-31674	4	3	help	help	NOUN
fcis-31674	4	4	of	of	ADP
fcis-31674	4	5	machine	machine	NOUN
fcis-31674	4	6	learning	learning	NOUN
fcis-31674	4	7	,	,	PUNCT
fcis-31674	4	8	deep	deep	ADJ
fcis-31674	4	9	learning	learning	NOUN
fcis-31674	4	10	and	and	CCONJ
fcis-31674	4	11	other	other	ADJ
fcis-31674	4	12	technologies	technology	NOUN
fcis-31674	4	13	,	,	PUNCT
fcis-31674	4	14	this	this	DET
fcis-31674	4	15	computing	computing	NOUN
fcis-31674	4	16	mode	mode	NOUN
fcis-31674	4	17	can	can	AUX
fcis-31674	4	18	automatically	automatically	ADV
fcis-31674	4	19	learn	learn	VERB
fcis-31674	4	20	knowledge	knowledge	NOUN
fcis-31674	4	21	and	and	CCONJ
fcis-31674	4	22	build	build	VERB
fcis-31674	4	23	models	model	NOUN
fcis-31674	4	24	from	from	ADP
fcis-31674	4	25	data	datum	NOUN
fcis-31674	4	26	to	to	PART
fcis-31674	4	27	realize	realize	VERB
fcis-31674	4	28	intelligent	intelligent	ADJ
fcis-31674	4	29	analysis	analysis	NOUN
fcis-31674	4	30	and	and	CCONJ
fcis-31674	4	31	decision	decision	NOUN
fcis-31674	4	32	-	-	PUNCT
fcis-31674	4	33	making	making	NOUN
fcis-31674	4	34	of	of	ADP
fcis-31674	4	35	complex	complex	ADJ
fcis-31674	4	36	problems	problem	NOUN
fcis-31674	4	37	.	.	PUNCT
fcis-31674	5	1	intelligent	intelligent	ADJ
fcis-31674	5	2	computing	computing	NOUN
fcis-31674	5	3	models	model	NOUN
fcis-31674	5	4	include	include	VERB
fcis-31674	5	5	supervised	supervised	ADJ
fcis-31674	5	6	learning	learning	NOUN
fcis-31674	5	7	,	,	PUNCT
fcis-31674	5	8	unsupervised	unsupervised	ADJ
fcis-31674	5	9	learning	learning	NOUN
fcis-31674	5	10	and	and	CCONJ
fcis-31674	5	11	reinforcement	reinforcement	NOUN
fcis-31674	5	12	learning	learning	NOUN
fcis-31674	5	13	.	.	PUNCT
fcis-31674	6	1	in	in	ADP
fcis-31674	6	2	practical	practical	ADJ
fcis-31674	6	3	applications	application	NOUN
fcis-31674	6	4	,	,	PUNCT
fcis-31674	6	5	image	image	NOUN
fcis-31674	6	6	recognition	recognition	NOUN
fcis-31674	6	7	and	and	CCONJ
fcis-31674	6	8	computer	computer	NOUN
fcis-31674	6	9	vision	vision	NOUN
fcis-31674	6	10	,	,	PUNCT
fcis-31674	6	11	natural	natural	ADJ
fcis-31674	6	12	language	language	NOUN
fcis-31674	6	13	processing	processing	NOUN
fcis-31674	6	14	,	,	PUNCT
fcis-31674	6	15	intelligent	intelligent	ADJ
fcis-31674	6	16	recommendation	recommendation	NOUN
fcis-31674	6	17	systems	system	NOUN
fcis-31674	6	18	and	and	CCONJ
fcis-31674	6	19	other	other	ADJ
fcis-31674	6	20	fields	field	NOUN
fcis-31674	6	21	have	have	AUX
fcis-31674	6	22	achieved	achieve	VERB
fcis-31674	6	23	remarkable	remarkable	ADJ
fcis-31674	6	24	results	result	NOUN
fcis-31674	6	25	,	,	PUNCT
fcis-31674	6	26	but	but	CCONJ
fcis-31674	6	27	they	they	PRON
fcis-31674	6	28	also	also	ADV
fcis-31674	6	29	face	face	VERB
fcis-31674	6	30	challenges	challenge	NOUN
fcis-31674	6	31	such	such	ADJ
fcis-31674	6	32	as	as	ADP
fcis-31674	6	33	data	datum	NOUN
fcis-31674	6	34	quality	quality	NOUN
fcis-31674	6	35	,	,	PUNCT
fcis-31674	6	36	model	model	NOUN
fcis-31674	6	37	interpretability	interpretability	NOUN
fcis-31674	6	38	,	,	PUNCT
fcis-31674	6	39	computing	compute	VERB
fcis-31674	6	40	resource	resource	NOUN
fcis-31674	6	41	requirements	requirement	NOUN
fcis-31674	6	42	,	,	PUNCT
fcis-31674	6	43	and	and	CCONJ
fcis-31674	6	44	privacy	privacy	NOUN
fcis-31674	6	45	security	security	NOUN
fcis-31674	6	46	.	.	PUNCT
fcis-31674	7	1	data	data	NOUN
fcis-31674	7	2	-	-	PUNCT
fcis-31674	7	3	driven	drive	VERB
fcis-31674	7	4	intelligent	intelligent	ADJ
fcis-31674	7	5	computing	computing	NOUN
fcis-31674	7	6	will	will	AUX
fcis-31674	7	7	develop	develop	VERB
fcis-31674	7	8	in	in	ADP
fcis-31674	7	9	the	the	DET
fcis-31674	7	10	direction	direction	NOUN
fcis-31674	7	11	of	of	ADP
fcis-31674	7	12	integration	integration	NOUN
fcis-31674	7	13	with	with	ADP
fcis-31674	7	14	knowledge	knowledge	NOUN
fcis-31674	7	15	graph	graph	NOUN
fcis-31674	7	16	,	,	PUNCT
fcis-31674	7	17	edge	edge	NOUN
fcis-31674	7	18	computing	computing	NOUN
fcis-31674	7	19	,	,	PUNCT
fcis-31674	7	20	cloud	cloud	NOUN
fcis-31674	7	21	computing	computing	NOUN
fcis-31674	7	22	,	,	PUNCT
fcis-31674	7	23	and	and	CCONJ
fcis-31674	7	24	cross	cross	ADJ
fcis-31674	7	25	-	-	ADJ
fcis-31674	7	26	domain	domain	ADJ
fcis-31674	7	27	application	application	NOUN
fcis-31674	7	28	expansion	expansion	NOUN
fcis-31674	7	29	,	,	PUNCT
fcis-31674	7	30	and	and	CCONJ
fcis-31674	7	31	continue	continue	VERB
fcis-31674	7	32	to	to	PART
fcis-31674	7	33	promote	promote	VERB
fcis-31674	7	34	the	the	DET
fcis-31674	7	35	intelligent	intelligent	ADJ
fcis-31674	7	36	process	process	NOUN
fcis-31674	7	37	in	in	ADP
fcis-31674	7	38	various	various	ADJ
fcis-31674	7	39	fields	field	NOUN
fcis-31674	7	40	.	.	PUNCT
fcis-31674	8	1	keywords	keyword	NOUN
fcis-31674	8	2	:	:	PUNCT
fcis-31674	8	3	data	datum	NOUN
fcis-31674	8	4	-	-	PUNCT
fcis-31674	8	5	driven	drive	VERB
fcis-31674	8	6	;	;	PUNCT
fcis-31674	8	7	intelligent	intelligent	ADJ
fcis-31674	8	8	computing	computing	NOUN
fcis-31674	8	9	;	;	PUNCT
fcis-31674	8	10	machine	machine	NOUN
fcis-31674	8	11	learning	learning	NOUN
fcis-31674	8	12	;	;	PUNCT
fcis-31674	8	13	deep	deep	ADJ
fcis-31674	8	14	learning	learning	NOUN
fcis-31674	8	15	.	.	PUNCT
fcis-31674	9	1	1	1	X
fcis-31674	9	2	.	.	X
fcis-31674	9	3	introduction	introduction	NOUN
fcis-31674	9	4	intelligent	intelligent	ADJ
fcis-31674	9	5	computing	computing	NOUN
fcis-31674	9	6	has	have	VERB
fcis-31674	9	7	powerful	powerful	ADJ
fcis-31674	9	8	self	self	NOUN
fcis-31674	9	9	-	-	PUNCT
fcis-31674	9	10	learning	learn	VERB
fcis-31674	9	11	ability	ability	NOUN
fcis-31674	9	12	,	,	PUNCT
fcis-31674	9	13	which	which	PRON
fcis-31674	9	14	can	can	AUX
fcis-31674	9	15	continuously	continuously	ADV
fcis-31674	9	16	adjust	adjust	VERB
fcis-31674	9	17	its	its	PRON
fcis-31674	9	18	parameters	parameter	NOUN
fcis-31674	9	19	and	and	CCONJ
fcis-31674	9	20	structure	structure	NOUN
fcis-31674	9	21	to	to	PART
fcis-31674	9	22	adapt	adapt	VERB
fcis-31674	9	23	to	to	ADP
fcis-31674	9	24	different	different	ADJ
fcis-31674	9	25	tasks	task	NOUN
fcis-31674	9	26	and	and	CCONJ
fcis-31674	9	27	environments	environment	NOUN
fcis-31674	9	28	by	by	ADP
fcis-31674	9	29	learning	learn	VERB
fcis-31674	9	30	from	from	ADP
fcis-31674	9	31	large	large	ADJ
fcis-31674	9	32	amounts	amount	NOUN
fcis-31674	9	33	of	of	ADP
fcis-31674	9	34	data	datum	NOUN
fcis-31674	9	35	.	.	PUNCT
fcis-31674	10	1	intelligent	intelligent	ADJ
fcis-31674	10	2	computing	computing	NOUN
fcis-31674	10	3	also	also	ADV
fcis-31674	10	4	has	have	VERB
fcis-31674	10	5	the	the	DET
fcis-31674	10	6	characteristics	characteristic	NOUN
fcis-31674	10	7	of	of	ADP
fcis-31674	10	8	self	self	NOUN
fcis-31674	10	9	-	-	PUNCT
fcis-31674	10	10	organization	organization	NOUN
fcis-31674	10	11	and	and	CCONJ
fcis-31674	10	12	self	self	NOUN
fcis-31674	10	13	-	-	PUNCT
fcis-31674	10	14	adaptation	adaptation	NOUN
fcis-31674	10	15	.	.	PUNCT
fcis-31674	11	1	in	in	ADP
fcis-31674	11	2	the	the	DET
fcis-31674	11	3	face	face	NOUN
fcis-31674	11	4	of	of	ADP
fcis-31674	11	5	complex	complex	ADJ
fcis-31674	11	6	and	and	CCONJ
fcis-31674	11	7	changeable	changeable	ADJ
fcis-31674	11	8	problems	problem	NOUN
fcis-31674	11	9	and	and	CCONJ
fcis-31674	11	10	environments	environment	NOUN
fcis-31674	11	11	,	,	PUNCT
fcis-31674	11	12	intelligent	intelligent	ADJ
fcis-31674	11	13	computing	computing	NOUN
fcis-31674	11	14	systems	system	NOUN
fcis-31674	11	15	can	can	AUX
fcis-31674	11	16	automatically	automatically	ADV
fcis-31674	11	17	organize	organize	VERB
fcis-31674	11	18	their	their	PRON
fcis-31674	11	19	structures	structure	NOUN
fcis-31674	11	20	and	and	CCONJ
fcis-31674	11	21	functions	function	NOUN
fcis-31674	11	22	to	to	PART
fcis-31674	11	23	better	well	ADV
fcis-31674	11	24	adapt	adapt	VERB
fcis-31674	11	25	to	to	ADP
fcis-31674	11	26	changes	change	NOUN
fcis-31674	11	27	.	.	PUNCT
fcis-31674	12	1	datadriven	datadriven	ADJ
fcis-31674	12	2	intelligent	intelligent	ADJ
fcis-31674	12	3	computing	computing	NOUN
fcis-31674	12	4	opens	open	VERB
fcis-31674	12	5	up	up	ADP
fcis-31674	12	6	entirely	entirely	ADV
fcis-31674	12	7	new	new	ADJ
fcis-31674	12	8	research	research	NOUN
fcis-31674	12	9	directions	direction	NOUN
fcis-31674	12	10	and	and	CCONJ
fcis-31674	12	11	perspectives	perspective	NOUN
fcis-31674	12	12	for	for	ADP
fcis-31674	12	13	computer	computer	NOUN
fcis-31674	12	14	science	science	NOUN
fcis-31674	12	15	and	and	CCONJ
fcis-31674	12	16	related	related	ADJ
fcis-31674	12	17	disciplines	discipline	NOUN
fcis-31674	12	18	[	[	X
fcis-31674	12	19	1	1	NUM
fcis-31674	12	20	]	]	PUNCT
fcis-31674	12	21	.	.	PUNCT
fcis-31674	13	1	it	it	PRON
fcis-31674	13	2	breaks	break	VERB
fcis-31674	13	3	the	the	DET
fcis-31674	13	4	limitations	limitation	NOUN
fcis-31674	13	5	of	of	ADP
fcis-31674	13	6	traditional	traditional	ADJ
fcis-31674	13	7	computing	computing	NOUN
fcis-31674	13	8	paradigms	paradigm	NOUN
fcis-31674	13	9	and	and	CCONJ
fcis-31674	13	10	promotes	promote	VERB
fcis-31674	13	11	theoretical	theoretical	ADJ
fcis-31674	13	12	innovation	innovation	NOUN
fcis-31674	13	13	and	and	CCONJ
fcis-31674	13	14	development	development	NOUN
fcis-31674	13	15	in	in	ADP
fcis-31674	13	16	machine	machine	NOUN
fcis-31674	13	17	learning	learning	NOUN
fcis-31674	13	18	,	,	PUNCT
fcis-31674	13	19	deep	deep	ADJ
fcis-31674	13	20	learning	learning	NOUN
fcis-31674	13	21	,	,	PUNCT
fcis-31674	13	22	artificial	artificial	ADJ
fcis-31674	13	23	intelligence	intelligence	NOUN
fcis-31674	13	24	and	and	CCONJ
fcis-31674	13	25	other	other	ADJ
fcis-31674	13	26	fields	field	NOUN
fcis-31674	13	27	.	.	PUNCT
fcis-31674	14	1	in	in	ADP
fcis-31674	14	2	order	order	NOUN
fcis-31674	14	3	to	to	PART
fcis-31674	14	4	cope	cope	VERB
fcis-31674	14	5	with	with	ADP
fcis-31674	14	6	the	the	DET
fcis-31674	14	7	challenges	challenge	NOUN
fcis-31674	14	8	of	of	ADP
fcis-31674	14	9	the	the	DET
fcis-31674	14	10	era	era	NOUN
fcis-31674	14	11	of	of	ADP
fcis-31674	14	12	big	big	ADJ
fcis-31674	14	13	data	datum	NOUN
fcis-31674	14	14	and	and	CCONJ
fcis-31674	14	15	fully	fully	ADV
fcis-31674	14	16	tap	tap	VERB
fcis-31674	14	17	the	the	DET
fcis-31674	14	18	value	value	NOUN
fcis-31674	14	19	of	of	ADP
fcis-31674	14	20	big	big	ADJ
fcis-31674	14	21	data	datum	NOUN
fcis-31674	14	22	,	,	PUNCT
fcis-31674	14	23	data	data	NOUN
fcis-31674	14	24	-	-	PUNCT
fcis-31674	14	25	driven	drive	VERB
fcis-31674	14	26	intelligent	intelligent	ADJ
fcis-31674	14	27	computing	computing	NOUN
fcis-31674	14	28	comes	come	VERB
fcis-31674	14	29	into	into	ADP
fcis-31674	14	30	being	being	NOUN
fcis-31674	14	31	.	.	PUNCT
fcis-31674	15	1	data	data	NOUN
fcis-31674	15	2	-	-	PUNCT
fcis-31674	15	3	driven	drive	VERB
fcis-31674	15	4	intelligent	intelligent	ADJ
fcis-31674	15	5	computing	computing	NOUN
fcis-31674	15	6	takes	take	VERB
fcis-31674	15	7	data	datum	NOUN
fcis-31674	15	8	as	as	ADP
fcis-31674	15	9	the	the	DET
fcis-31674	15	10	core	core	NOUN
fcis-31674	15	11	.	.	PUNCT
fcis-31674	16	1	with	with	ADP
fcis-31674	16	2	the	the	DET
fcis-31674	16	3	help	help	NOUN
fcis-31674	16	4	of	of	ADP
fcis-31674	16	5	advanced	advanced	ADJ
fcis-31674	16	6	technologies	technology	NOUN
fcis-31674	16	7	such	such	ADJ
fcis-31674	16	8	as	as	ADP
fcis-31674	16	9	machine	machine	NOUN
fcis-31674	16	10	learning	learning	NOUN
fcis-31674	16	11	,	,	PUNCT
fcis-31674	16	12	deep	deep	ADJ
fcis-31674	16	13	learning	learning	NOUN
fcis-31674	16	14	and	and	CCONJ
fcis-31674	16	15	artificial	artificial	ADJ
fcis-31674	16	16	intelligence	intelligence	NOUN
fcis-31674	16	17	,	,	PUNCT
fcis-31674	16	18	it	it	PRON
fcis-31674	16	19	can	can	AUX
fcis-31674	16	20	automatically	automatically	ADV
fcis-31674	16	21	learn	learn	VERB
fcis-31674	16	22	and	and	CCONJ
fcis-31674	16	23	extract	extract	VERB
fcis-31674	16	24	knowledge	knowledge	NOUN
fcis-31674	16	25	from	from	ADP
fcis-31674	16	26	large	large	ADJ
fcis-31674	16	27	amounts	amount	NOUN
fcis-31674	16	28	of	of	ADP
fcis-31674	16	29	data	datum	NOUN
fcis-31674	16	30	,	,	PUNCT
fcis-31674	16	31	build	build	VERB
fcis-31674	16	32	intelligent	intelligent	ADJ
fcis-31674	16	33	models	model	NOUN
fcis-31674	16	34	,	,	PUNCT
fcis-31674	16	35	and	and	CCONJ
fcis-31674	16	36	realize	realize	VERB
fcis-31674	16	37	intelligent	intelligent	ADJ
fcis-31674	16	38	analysis	analysis	NOUN
fcis-31674	16	39	and	and	CCONJ
fcis-31674	16	40	decision	decision	NOUN
fcis-31674	16	41	-	-	PUNCT
fcis-31674	16	42	making	making	NOUN
fcis-31674	16	43	of	of	ADP
fcis-31674	16	44	complex	complex	ADJ
fcis-31674	16	45	problems	problem	NOUN
fcis-31674	16	46	[	[	X
fcis-31674	16	47	2	2	NUM
fcis-31674	16	48	,	,	PUNCT
fcis-31674	16	49	3	3	NUM
fcis-31674	16	50	]	]	PUNCT
fcis-31674	16	51	.	.	PUNCT
fcis-31674	17	1	different	different	ADJ
fcis-31674	17	2	from	from	ADP
fcis-31674	17	3	the	the	DET
fcis-31674	17	4	traditional	traditional	ADJ
fcis-31674	17	5	computing	computing	NOUN
fcis-31674	17	6	paradigm	paradigm	NOUN
fcis-31674	17	7	,	,	PUNCT
fcis-31674	17	8	data	data	NOUN
fcis-31674	17	9	-	-	PUNCT
fcis-31674	17	10	driven	drive	VERB
fcis-31674	17	11	intelligent	intelligent	ADJ
fcis-31674	17	12	computing	computing	NOUN
fcis-31674	17	13	pays	pay	VERB
fcis-31674	17	14	more	more	ADJ
fcis-31674	17	15	attention	attention	NOUN
fcis-31674	17	16	to	to	ADP
fcis-31674	17	17	the	the	DET
fcis-31674	17	18	driving	drive	VERB
fcis-31674	17	19	role	role	NOUN
fcis-31674	17	20	of	of	ADP
fcis-31674	17	21	data	datum	NOUN
fcis-31674	17	22	.	.	PUNCT
fcis-31674	18	1	through	through	ADP
fcis-31674	18	2	deep	deep	ADJ
fcis-31674	18	3	mining	mining	NOUN
fcis-31674	18	4	and	and	CCONJ
fcis-31674	18	5	analysis	analysis	NOUN
fcis-31674	18	6	of	of	ADP
fcis-31674	18	7	data	datum	NOUN
fcis-31674	18	8	,	,	PUNCT
fcis-31674	18	9	hidden	hide	VERB
fcis-31674	18	10	patterns	pattern	NOUN
fcis-31674	18	11	and	and	CCONJ
fcis-31674	18	12	rules	rule	NOUN
fcis-31674	18	13	are	be	AUX
fcis-31674	18	14	found	find	VERB
fcis-31674	18	15	in	in	ADP
fcis-31674	18	16	the	the	DET
fcis-31674	18	17	data	datum	NOUN
fcis-31674	18	18	,	,	PUNCT
fcis-31674	18	19	so	so	SCONJ
fcis-31674	18	20	as	as	SCONJ
fcis-31674	18	21	to	to	PART
fcis-31674	18	22	realize	realize	VERB
fcis-31674	18	23	a	a	DET
fcis-31674	18	24	more	more	ADV
fcis-31674	18	25	accurate	accurate	ADJ
fcis-31674	18	26	understanding	understanding	NOUN
fcis-31674	18	27	and	and	CCONJ
fcis-31674	18	28	solution	solution	NOUN
fcis-31674	18	29	to	to	ADP
fcis-31674	18	30	the	the	DET
fcis-31674	18	31	problem	problem	NOUN
fcis-31674	18	32	.	.	PUNCT
fcis-31674	19	1	the	the	DET
fcis-31674	19	2	basic	basic	ADJ
fcis-31674	19	3	idea	idea	NOUN
fcis-31674	19	4	is	be	AUX
fcis-31674	19	5	to	to	PART
fcis-31674	19	6	automatically	automatically	ADV
fcis-31674	19	7	learn	learn	VERB
fcis-31674	19	8	and	and	CCONJ
fcis-31674	19	9	extract	extract	VERB
fcis-31674	19	10	knowledge	knowledge	NOUN
fcis-31674	19	11	from	from	ADP
fcis-31674	19	12	a	a	DET
fcis-31674	19	13	large	large	ADJ
fcis-31674	19	14	amount	amount	NOUN
fcis-31674	19	15	of	of	ADP
fcis-31674	19	16	data	datum	NOUN
fcis-31674	19	17	,	,	PUNCT
fcis-31674	19	18	and	and	CCONJ
fcis-31674	19	19	use	use	VERB
fcis-31674	19	20	the	the	DET
fcis-31674	19	21	information	information	NOUN
fcis-31674	19	22	contained	contain	VERB
fcis-31674	19	23	in	in	ADP
fcis-31674	19	24	the	the	DET
fcis-31674	19	25	data	datum	NOUN
fcis-31674	19	26	to	to	PART
fcis-31674	19	27	guide	guide	VERB
fcis-31674	19	28	decision	decision	NOUN
fcis-31674	19	29	-	-	PUNCT
fcis-31674	19	30	making	making	NOUN
fcis-31674	19	31	and	and	CCONJ
fcis-31674	19	32	model	model	VERB
fcis-31674	19	33	construction	construction	NOUN
fcis-31674	19	34	[	[	X
fcis-31674	19	35	4	4	NUM
fcis-31674	19	36	]	]	PUNCT
fcis-31674	19	37	.	.	PUNCT
fcis-31674	20	1	in	in	ADP
fcis-31674	20	2	datadriven	datadriven	ADJ
fcis-31674	20	3	intelligent	intelligent	ADJ
fcis-31674	20	4	computing	computing	NOUN
fcis-31674	20	5	,	,	PUNCT
fcis-31674	20	6	data	datum	NOUN
fcis-31674	20	7	is	be	AUX
fcis-31674	20	8	not	not	PART
fcis-31674	20	9	only	only	ADV
fcis-31674	20	10	the	the	DET
fcis-31674	20	11	input	input	NOUN
fcis-31674	20	12	of	of	ADP
fcis-31674	20	13	the	the	DET
fcis-31674	20	14	calculation	calculation	NOUN
fcis-31674	20	15	,	,	PUNCT
fcis-31674	20	16	but	but	CCONJ
fcis-31674	20	17	also	also	ADV
fcis-31674	20	18	the	the	DET
fcis-31674	20	19	key	key	ADJ
fcis-31674	20	20	factor	factor	NOUN
fcis-31674	20	21	that	that	PRON
fcis-31674	20	22	drives	drive	VERB
fcis-31674	20	23	the	the	DET
fcis-31674	20	24	whole	whole	ADJ
fcis-31674	20	25	calculation	calculation	NOUN
fcis-31674	20	26	process	process	NOUN
fcis-31674	20	27	and	and	CCONJ
fcis-31674	20	28	determines	determine	VERB
fcis-31674	20	29	the	the	DET
fcis-31674	20	30	calculation	calculation	NOUN
fcis-31674	20	31	result	result	NOUN
fcis-31674	20	32	.	.	PUNCT
fcis-31674	21	1	intelligent	intelligent	ADJ
fcis-31674	21	2	computing	computing	NOUN
fcis-31674	21	3	has	have	VERB
fcis-31674	21	4	powerful	powerful	ADJ
fcis-31674	21	5	self	self	NOUN
fcis-31674	21	6	-	-	PUNCT
fcis-31674	21	7	learning	learn	VERB
fcis-31674	21	8	ability	ability	NOUN
fcis-31674	21	9	,	,	PUNCT
fcis-31674	21	10	which	which	PRON
fcis-31674	21	11	can	can	AUX
fcis-31674	21	12	continuously	continuously	ADV
fcis-31674	21	13	adjust	adjust	VERB
fcis-31674	21	14	its	its	PRON
fcis-31674	21	15	parameters	parameter	NOUN
fcis-31674	21	16	and	and	CCONJ
fcis-31674	21	17	structure	structure	NOUN
fcis-31674	21	18	to	to	PART
fcis-31674	21	19	adapt	adapt	VERB
fcis-31674	21	20	to	to	ADP
fcis-31674	21	21	different	different	ADJ
fcis-31674	21	22	tasks	task	NOUN
fcis-31674	21	23	and	and	CCONJ
fcis-31674	21	24	environments	environment	NOUN
fcis-31674	21	25	by	by	ADP
fcis-31674	21	26	learning	learn	VERB
fcis-31674	21	27	from	from	ADP
fcis-31674	21	28	large	large	ADJ
fcis-31674	21	29	amounts	amount	NOUN
fcis-31674	21	30	of	of	ADP
fcis-31674	21	31	data	datum	NOUN
fcis-31674	21	32	.	.	PUNCT
fcis-31674	22	1	intelligent	intelligent	ADJ
fcis-31674	22	2	computing	computing	NOUN
fcis-31674	22	3	also	also	ADV
fcis-31674	22	4	has	have	VERB
fcis-31674	22	5	the	the	DET
fcis-31674	22	6	characteristics	characteristic	NOUN
fcis-31674	22	7	of	of	ADP
fcis-31674	22	8	self	self	NOUN
fcis-31674	22	9	-	-	PUNCT
fcis-31674	22	10	organization	organization	NOUN
fcis-31674	22	11	and	and	CCONJ
fcis-31674	22	12	self	self	NOUN
fcis-31674	22	13	-	-	PUNCT
fcis-31674	22	14	adaptation	adaptation	NOUN
fcis-31674	22	15	.	.	PUNCT
fcis-31674	23	1	in	in	ADP
fcis-31674	23	2	the	the	DET
fcis-31674	23	3	face	face	NOUN
fcis-31674	23	4	of	of	ADP
fcis-31674	23	5	complex	complex	ADJ
fcis-31674	23	6	and	and	CCONJ
fcis-31674	23	7	changeable	changeable	ADJ
fcis-31674	23	8	problems	problem	NOUN
fcis-31674	23	9	and	and	CCONJ
fcis-31674	23	10	environments	environment	NOUN
fcis-31674	23	11	,	,	PUNCT
fcis-31674	23	12	intelligent	intelligent	ADJ
fcis-31674	23	13	computing	computing	NOUN
fcis-31674	23	14	systems	system	NOUN
fcis-31674	23	15	can	can	AUX
fcis-31674	23	16	automatically	automatically	ADV
fcis-31674	23	17	organize	organize	VERB
fcis-31674	23	18	their	their	PRON
fcis-31674	23	19	structures	structure	NOUN
fcis-31674	23	20	and	and	CCONJ
fcis-31674	23	21	functions	function	NOUN
fcis-31674	23	22	to	to	PART
fcis-31674	23	23	better	well	ADV
fcis-31674	23	24	adapt	adapt	VERB
fcis-31674	23	25	to	to	ADP
fcis-31674	23	26	changes	change	NOUN
fcis-31674	23	27	.	.	PUNCT
fcis-31674	24	1	datadriven	datadriven	ADJ
fcis-31674	24	2	intelligent	intelligent	ADJ
fcis-31674	24	3	computing	computing	NOUN
fcis-31674	24	4	opens	open	VERB
fcis-31674	24	5	up	up	ADP
fcis-31674	24	6	entirely	entirely	ADV
fcis-31674	24	7	new	new	ADJ
fcis-31674	24	8	research	research	NOUN
fcis-31674	24	9	directions	direction	NOUN
fcis-31674	24	10	and	and	CCONJ
fcis-31674	24	11	perspectives	perspective	NOUN
fcis-31674	24	12	for	for	ADP
fcis-31674	24	13	computer	computer	NOUN
fcis-31674	24	14	science	science	NOUN
fcis-31674	24	15	and	and	CCONJ
fcis-31674	24	16	related	related	ADJ
fcis-31674	24	17	disciplines	discipline	NOUN
fcis-31674	24	18	.	.	PUNCT
fcis-31674	25	1	it	it	PRON
fcis-31674	25	2	breaks	break	VERB
fcis-31674	25	3	the	the	DET
fcis-31674	25	4	limitations	limitation	NOUN
fcis-31674	25	5	of	of	ADP
fcis-31674	25	6	traditional	traditional	ADJ
fcis-31674	25	7	computing	computing	NOUN
fcis-31674	25	8	paradigms	paradigm	NOUN
fcis-31674	25	9	and	and	CCONJ
fcis-31674	25	10	promotes	promote	VERB
fcis-31674	25	11	theoretical	theoretical	ADJ
fcis-31674	25	12	innovation	innovation	NOUN
fcis-31674	25	13	and	and	CCONJ
fcis-31674	25	14	development	development	NOUN
fcis-31674	25	15	in	in	ADP
fcis-31674	25	16	machine	machine	NOUN
fcis-31674	25	17	learning	learning	NOUN
fcis-31674	25	18	,	,	PUNCT
fcis-31674	25	19	deep	deep	ADJ
fcis-31674	25	20	learning	learning	NOUN
fcis-31674	25	21	,	,	PUNCT
fcis-31674	25	22	artificial	artificial	ADJ
fcis-31674	25	23	intelligence	intelligence	NOUN
fcis-31674	25	24	and	and	CCONJ
fcis-31674	25	25	other	other	ADJ
fcis-31674	25	26	fields	field	NOUN
fcis-31674	25	27	[	[	X
fcis-31674	25	28	5	5	NUM
fcis-31674	25	29	,	,	PUNCT
fcis-31674	25	30	6	6	NUM
fcis-31674	25	31	]	]	PUNCT
fcis-31674	25	32	.	.	PUNCT
fcis-31674	26	1	through	through	ADP
fcis-31674	26	2	the	the	DET
fcis-31674	26	3	research	research	NOUN
fcis-31674	26	4	of	of	ADP
fcis-31674	26	5	data	data	NOUN
fcis-31674	26	6	-	-	PUNCT
fcis-31674	26	7	driven	drive	VERB
fcis-31674	26	8	intelligent	intelligent	ADJ
fcis-31674	26	9	computing	computing	NOUN
fcis-31674	26	10	,	,	PUNCT
fcis-31674	26	11	scholars	scholar	NOUN
fcis-31674	26	12	can	can	AUX
fcis-31674	26	13	deeply	deeply	ADV
fcis-31674	26	14	explore	explore	VERB
fcis-31674	26	15	how	how	SCONJ
fcis-31674	26	16	to	to	PART
fcis-31674	26	17	automatically	automatically	ADV
fcis-31674	26	18	learn	learn	VERB
fcis-31674	26	19	and	and	CCONJ
fcis-31674	26	20	extract	extract	VERB
fcis-31674	26	21	knowledge	knowledge	NOUN
fcis-31674	26	22	from	from	ADP
fcis-31674	26	23	massive	massive	ADJ
fcis-31674	26	24	and	and	CCONJ
fcis-31674	26	25	complex	complex	ADJ
fcis-31674	26	26	data	datum	NOUN
fcis-31674	26	27	,	,	PUNCT
fcis-31674	26	28	and	and	CCONJ
fcis-31674	26	29	build	build	VERB
fcis-31674	26	30	more	more	ADV
fcis-31674	26	31	intelligent	intelligent	ADJ
fcis-31674	26	32	and	and	CCONJ
fcis-31674	26	33	efficient	efficient	ADJ
fcis-31674	26	34	models	model	NOUN
fcis-31674	26	35	and	and	CCONJ
fcis-31674	26	36	algorithms	algorithm	NOUN
fcis-31674	26	37	,	,	PUNCT
fcis-31674	26	38	which	which	PRON
fcis-31674	26	39	not	not	PART
fcis-31674	26	40	only	only	ADV
fcis-31674	26	41	enriches	enrich	VERB
fcis-31674	26	42	the	the	DET
fcis-31674	26	43	theoretical	theoretical	ADJ
fcis-31674	26	44	system	system	NOUN
fcis-31674	26	45	of	of	ADP
fcis-31674	26	46	intelligent	intelligent	ADJ
fcis-31674	26	47	computing	computing	NOUN
fcis-31674	26	48	,	,	PUNCT
fcis-31674	26	49	but	but	CCONJ
fcis-31674	26	50	also	also	ADV
fcis-31674	26	51	provides	provide	VERB
fcis-31674	26	52	new	new	ADJ
fcis-31674	26	53	methods	method	NOUN
fcis-31674	26	54	and	and	CCONJ
fcis-31674	26	55	tools	tool	NOUN
fcis-31674	26	56	for	for	ADP
fcis-31674	26	57	the	the	DET
fcis-31674	26	58	research	research	NOUN
fcis-31674	26	59	of	of	ADP
fcis-31674	26	60	other	other	ADJ
fcis-31674	26	61	disciplines	discipline	NOUN
fcis-31674	26	62	.	.	PUNCT
fcis-31674	27	1	2	2	X
fcis-31674	27	2	.	.	X
fcis-31674	27	3	related	relate	VERB
fcis-31674	27	4	work	work	NOUN
fcis-31674	27	5	in	in	ADP
fcis-31674	27	6	the	the	DET
fcis-31674	27	7	field	field	NOUN
fcis-31674	27	8	of	of	ADP
fcis-31674	27	9	data	data	NOUN
fcis-31674	27	10	-	-	PUNCT
fcis-31674	27	11	driven	drive	VERB
fcis-31674	27	12	intelligent	intelligent	ADJ
fcis-31674	27	13	computing	computing	NOUN
fcis-31674	27	14	,	,	PUNCT
fcis-31674	27	15	scholars	scholar	NOUN
fcis-31674	27	16	and	and	CCONJ
fcis-31674	27	17	research	research	NOUN
fcis-31674	27	18	institutions	institution	NOUN
fcis-31674	27	19	both	both	CCONJ
fcis-31674	27	20	at	at	ADP
fcis-31674	27	21	home	home	NOUN
fcis-31674	27	22	and	and	CCONJ
fcis-31674	27	23	abroad	abroad	ADV
fcis-31674	27	24	have	have	AUX
fcis-31674	27	25	conducted	conduct	VERB
fcis-31674	27	26	extensive	extensive	ADJ
fcis-31674	27	27	and	and	CCONJ
fcis-31674	27	28	in	in	ADP
fcis-31674	27	29	-	-	PUNCT
fcis-31674	27	30	depth	depth	NOUN
fcis-31674	27	31	research	research	NOUN
fcis-31674	27	32	,	,	PUNCT
fcis-31674	27	33	achieving	achieve	VERB
fcis-31674	27	34	a	a	DET
fcis-31674	27	35	series	series	NOUN
fcis-31674	27	36	of	of	ADP
fcis-31674	27	37	results	result	NOUN
fcis-31674	27	38	with	with	ADP
fcis-31674	27	39	significant	significant	ADJ
fcis-31674	27	40	theoretical	theoretical	ADJ
fcis-31674	27	41	and	and	CCONJ
fcis-31674	27	42	practical	practical	ADJ
fcis-31674	27	43	value	value	NOUN
fcis-31674	27	44	.	.	PUNCT
fcis-31674	28	1	the	the	DET
fcis-31674	28	2	landscape	landscape	NOUN
fcis-31674	28	3	of	of	ADP
fcis-31674	28	4	data	data	NOUN
fcis-31674	28	5	-	-	PUNCT
fcis-31674	28	6	driven	drive	VERB
fcis-31674	28	7	intelligent	intelligent	ADJ
fcis-31674	28	8	computing	computing	NOUN
fcis-31674	28	9	encompasses	encompass	VERB
fcis-31674	28	10	a	a	DET
fcis-31674	28	11	broad	broad	ADJ
fcis-31674	28	12	spectrum	spectrum	NOUN
fcis-31674	28	13	of	of	ADP
fcis-31674	28	14	emerging	emerge	VERB
fcis-31674	28	15	technologies	technology	NOUN
fcis-31674	28	16	and	and	CCONJ
fcis-31674	28	17	applications	application	NOUN
fcis-31674	28	18	,	,	PUNCT
fcis-31674	28	19	as	as	SCONJ
fcis-31674	28	20	reflected	reflect	VERB
fcis-31674	28	21	in	in	ADP
fcis-31674	28	22	recent	recent	ADJ
fcis-31674	28	23	comprehensive	comprehensive	ADJ
fcis-31674	28	24	surveys	survey	NOUN
fcis-31674	28	25	.	.	PUNCT
fcis-31674	29	1	wu	wu	PROPN
fcis-31674	29	2	et	et	PROPN
fcis-31674	29	3	al	al	PROPN
fcis-31674	29	4	.	.	PUNCT
fcis-31674	30	1	[	[	X
fcis-31674	30	2	7	7	NUM
fcis-31674	30	3	]	]	PUNCT
fcis-31674	30	4	provided	provide	VERB
fcis-31674	30	5	an	an	DET
fcis-31674	30	6	overarching	overarching	ADJ
fcis-31674	30	7	view	view	NOUN
fcis-31674	30	8	of	of	ADP
fcis-31674	30	9	digital	digital	ADJ
fcis-31674	30	10	twin	twin	ADJ
fcis-31674	30	11	networks	network	NOUN
fcis-31674	30	12	,	,	PUNCT
fcis-31674	30	13	emphasizing	emphasize	VERB
fcis-31674	30	14	their	their	PRON
fcis-31674	30	15	role	role	NOUN
fcis-31674	30	16	in	in	ADP
fcis-31674	30	17	creating	create	VERB
fcis-31674	30	18	dynamic	dynamic	ADJ
fcis-31674	30	19	,	,	PUNCT
fcis-31674	30	20	realtime	realtime	ADJ
fcis-31674	30	21	virtual	virtual	ADJ
fcis-31674	30	22	representations	representation	NOUN
fcis-31674	30	23	of	of	ADP
fcis-31674	30	24	physical	physical	ADJ
fcis-31674	30	25	systems	system	NOUN
fcis-31674	30	26	,	,	PUNCT
fcis-31674	30	27	which	which	PRON
fcis-31674	30	28	are	be	AUX
fcis-31674	30	29	fundamental	fundamental	ADJ
fcis-31674	30	30	to	to	ADP
fcis-31674	30	31	intelligent	intelligent	ADJ
fcis-31674	30	32	computing	computing	NOUN
fcis-31674	30	33	frameworks	framework	NOUN
fcis-31674	30	34	.	.	PUNCT
fcis-31674	31	1	this	this	DET
fcis-31674	31	2	concept	concept	NOUN
fcis-31674	31	3	underpins	underpin	VERB
fcis-31674	31	4	many	many	ADJ
fcis-31674	31	5	applications	application	NOUN
fcis-31674	31	6	where	where	SCONJ
fcis-31674	31	7	real	real	ADJ
fcis-31674	31	8	-	-	PUNCT
fcis-31674	31	9	time	time	NOUN
fcis-31674	31	10	data	datum	NOUN
fcis-31674	31	11	processing	processing	NOUN
fcis-31674	31	12	and	and	CCONJ
fcis-31674	31	13	simulation	simulation	NOUN
fcis-31674	31	14	are	be	AUX
fcis-31674	31	15	critical	critical	ADJ
fcis-31674	31	16	.	.	PUNCT
fcis-31674	32	1	deep	deep	ADJ
fcis-31674	32	2	learning	learning	NOUN
fcis-31674	32	3	and	and	CCONJ
fcis-31674	32	4	reinforcement	reinforcement	NOUN
fcis-31674	32	5	learning	learning	NOUN
fcis-31674	32	6	techniques	technique	NOUN
fcis-31674	32	7	are	be	AUX
fcis-31674	32	8	central	central	ADJ
fcis-31674	32	9	to	to	ADP
fcis-31674	32	10	advancing	advance	VERB
fcis-31674	32	11	intelligent	intelligent	ADJ
fcis-31674	32	12	computing	computing	NOUN
fcis-31674	32	13	.	.	PUNCT
fcis-31674	33	1	chen	chen	PROPN
fcis-31674	33	2	et	et	PROPN
fcis-31674	33	3	al	al	PROPN
fcis-31674	33	4	.	.	PUNCT
fcis-31674	34	1	[	[	X
fcis-31674	34	2	8	8	NUM
fcis-31674	34	3	]	]	PUNCT
fcis-31674	34	4	survey	survey	NOUN
fcis-31674	34	5	the	the	DET
fcis-31674	34	6	deployment	deployment	NOUN
fcis-31674	34	7	of	of	ADP
fcis-31674	34	8	deep	deep	ADJ
fcis-31674	34	9	reinforcement	reinforcement	NOUN
fcis-31674	34	10	learning	learning	NOUN
fcis-31674	34	11	(	(	PUNCT
fcis-31674	34	12	drl	drl	PROPN
fcis-31674	34	13	)	)	PUNCT
fcis-31674	34	14	in	in	ADP
fcis-31674	34	15	iot	iot	ADJ
fcis-31674	34	16	environments	environment	NOUN
fcis-31674	34	17	,	,	PUNCT
fcis-31674	34	18	discussing	discuss	VERB
fcis-31674	34	19	how	how	SCONJ
fcis-31674	34	20	drl	drl	PROPN
fcis-31674	34	21	algorithms	algorithm	VERB
fcis-31674	34	22	107	107	NUM
fcis-31674	34	23	enable	enable	VERB
fcis-31674	34	24	autonomous	autonomous	ADJ
fcis-31674	34	25	decision	decision	NOUN
fcis-31674	34	26	-	-	PUNCT
fcis-31674	34	27	making	making	NOUN
fcis-31674	34	28	and	and	CCONJ
fcis-31674	34	29	adaptive	adaptive	ADJ
fcis-31674	34	30	control	control	NOUN
fcis-31674	34	31	in	in	ADP
fcis-31674	34	32	complex	complex	ADJ
fcis-31674	34	33	systems	system	NOUN
fcis-31674	34	34	.	.	PUNCT
fcis-31674	35	1	similarly	similarly	ADV
fcis-31674	35	2	,	,	PUNCT
fcis-31674	35	3	jin	jin	PROPN
fcis-31674	35	4	et	et	PROPN
fcis-31674	35	5	al	al	PROPN
fcis-31674	35	6	.	.	PUNCT
fcis-31674	36	1	[	[	X
fcis-31674	36	2	9	9	NUM
fcis-31674	36	3	]	]	PUNCT
fcis-31674	36	4	focus	focus	NOUN
fcis-31674	36	5	on	on	ADP
fcis-31674	36	6	spatiotemporal	spatiotemporal	ADJ
fcis-31674	36	7	graph	graph	NOUN
fcis-31674	36	8	neural	neural	ADJ
fcis-31674	36	9	networks	network	NOUN
fcis-31674	36	10	(	(	PUNCT
fcis-31674	36	11	stgnn	stgnn	NOUN
fcis-31674	36	12	)	)	PUNCT
fcis-31674	36	13	,	,	PUNCT
fcis-31674	36	14	which	which	PRON
fcis-31674	36	15	are	be	AUX
fcis-31674	36	16	instrumental	instrumental	ADJ
fcis-31674	36	17	in	in	ADP
fcis-31674	36	18	predictive	predictive	ADJ
fcis-31674	36	19	learning	learning	NOUN
fcis-31674	36	20	for	for	ADP
fcis-31674	36	21	urban	urban	ADJ
fcis-31674	36	22	computing	computing	NOUN
fcis-31674	36	23	,	,	PUNCT
fcis-31674	36	24	supporting	support	VERB
fcis-31674	36	25	applications	application	NOUN
fcis-31674	36	26	like	like	ADP
fcis-31674	36	27	traffic	traffic	NOUN
fcis-31674	36	28	forecasting	forecasting	NOUN
fcis-31674	36	29	and	and	CCONJ
fcis-31674	36	30	environmental	environmental	ADJ
fcis-31674	36	31	monitoring	monitoring	NOUN
fcis-31674	36	32	.	.	PUNCT
fcis-31674	37	1	edge	edge	NOUN
fcis-31674	37	2	intelligence	intelligence	NOUN
fcis-31674	37	3	(	(	PUNCT
fcis-31674	37	4	ei	ei	NOUN
fcis-31674	37	5	)	)	PUNCT
fcis-31674	37	6	emerges	emerge	VERB
fcis-31674	37	7	as	as	ADP
fcis-31674	37	8	a	a	DET
fcis-31674	37	9	pivotal	pivotal	ADJ
fcis-31674	37	10	approach	approach	NOUN
fcis-31674	37	11	for	for	ADP
fcis-31674	37	12	deploying	deploy	VERB
fcis-31674	37	13	intelligent	intelligent	ADJ
fcis-31674	37	14	computing	computing	NOUN
fcis-31674	37	15	at	at	ADP
fcis-31674	37	16	the	the	DET
fcis-31674	37	17	network	network	NOUN
fcis-31674	37	18	edge	edge	NOUN
fcis-31674	37	19	,	,	PUNCT
fcis-31674	37	20	reducing	reduce	VERB
fcis-31674	37	21	latency	latency	NOUN
fcis-31674	37	22	and	and	CCONJ
fcis-31674	37	23	bandwidth	bandwidth	ADJ
fcis-31674	37	24	demands	demand	NOUN
fcis-31674	37	25	.	.	PUNCT
fcis-31674	38	1	amin	amin	NOUN
fcis-31674	38	2	et	et	PROPN
fcis-31674	38	3	al	al	PROPN
fcis-31674	38	4	.	.	PUNCT
fcis-31674	39	1	[	[	X
fcis-31674	39	2	10	10	NUM
fcis-31674	39	3	]	]	X
fcis-31674	39	4	analyze	analyze	NOUN
fcis-31674	39	5	edge	edge	NOUN
fcis-31674	39	6	architectures	architecture	NOUN
fcis-31674	39	7	in	in	ADP
fcis-31674	39	8	healthcare	healthcare	PROPN
fcis-31674	39	9	,	,	PUNCT
fcis-31674	39	10	emphasizing	emphasize	VERB
fcis-31674	39	11	aibased	aibased	ADJ
fcis-31674	39	12	classification	classification	NOUN
fcis-31674	39	13	and	and	CCONJ
fcis-31674	39	14	prediction	prediction	NOUN
fcis-31674	39	15	techniques	technique	NOUN
fcis-31674	39	16	that	that	PRON
fcis-31674	39	17	facilitate	facilitate	VERB
fcis-31674	39	18	real	real	ADJ
fcis-31674	39	19	-	-	PUNCT
fcis-31674	39	20	time	time	NOUN
fcis-31674	39	21	decision	decision	NOUN
fcis-31674	39	22	-	-	PUNCT
fcis-31674	39	23	making	making	NOUN
fcis-31674	39	24	in	in	ADP
fcis-31674	39	25	critical	critical	ADJ
fcis-31674	39	26	scenarios	scenario	NOUN
fcis-31674	39	27	.	.	PUNCT
fcis-31674	40	1	gong	gong	NOUN
fcis-31674	40	2	et	et	PROPN
fcis-31674	40	3	al	al	PROPN
fcis-31674	40	4	.	.	PUNCT
fcis-31674	41	1	[	[	X
fcis-31674	41	2	11	11	NUM
fcis-31674	41	3	]	]	PUNCT
fcis-31674	41	4	further	far	ADV
fcis-31674	41	5	elaborate	elaborate	VERB
fcis-31674	41	6	on	on	ADP
fcis-31674	41	7	the	the	DET
fcis-31674	41	8	application	application	NOUN
fcis-31674	41	9	of	of	ADP
fcis-31674	41	10	ei	ei	NOUN
fcis-31674	41	11	in	in	ADP
fcis-31674	41	12	its	its	PRON
fcis-31674	41	13	,	,	PUNCT
fcis-31674	41	14	identifying	identify	VERB
fcis-31674	41	15	challenges	challenge	NOUN
fcis-31674	41	16	and	and	CCONJ
fcis-31674	41	17	demonstrating	demonstrate	VERB
fcis-31674	41	18	how	how	SCONJ
fcis-31674	41	19	ei	ei	NOUN
fcis-31674	41	20	can	can	AUX
fcis-31674	41	21	empower	empower	VERB
fcis-31674	41	22	transportation	transportation	NOUN
fcis-31674	41	23	systems	system	NOUN
fcis-31674	41	24	through	through	ADP
fcis-31674	41	25	localized	localize	VERB
fcis-31674	41	26	data	datum	NOUN
fcis-31674	41	27	processing	processing	NOUN
fcis-31674	41	28	.	.	PUNCT
fcis-31674	42	1	the	the	DET
fcis-31674	42	2	management	management	NOUN
fcis-31674	42	3	of	of	ADP
fcis-31674	42	4	network	network	NOUN
fcis-31674	42	5	resources	resource	NOUN
fcis-31674	42	6	through	through	ADP
fcis-31674	42	7	intelligent	intelligent	ADJ
fcis-31674	42	8	slicing	slicing	NOUN
fcis-31674	42	9	is	be	AUX
fcis-31674	42	10	another	another	DET
fcis-31674	42	11	significant	significant	ADJ
fcis-31674	42	12	aspect	aspect	NOUN
fcis-31674	42	13	.	.	PUNCT
fcis-31674	43	1	wu	wu	PROPN
fcis-31674	43	2	et	et	PROPN
fcis-31674	43	3	.	.	PUNCT
fcis-31674	44	1	al	al	PROPN
fcis-31674	44	2	.	.	PUNCT
fcis-31674	45	1	[	[	X
fcis-31674	45	2	12	12	NUM
fcis-31674	45	3	]	]	PUNCT
fcis-31674	45	4	review	review	VERB
fcis-31674	45	5	intelligent	intelligent	ADJ
fcis-31674	45	6	network	network	NOUN
fcis-31674	45	7	slicing	slice	VERB
fcis-31674	45	8	management	management	NOUN
fcis-31674	45	9	in	in	ADP
fcis-31674	45	10	industrial	industrial	ADJ
fcis-31674	45	11	iot	iot	NOUN
fcis-31674	45	12	,	,	PUNCT
fcis-31674	45	13	illustrating	illustrate	VERB
fcis-31674	45	14	how	how	SCONJ
fcis-31674	45	15	integrated	integrated	ADJ
fcis-31674	45	16	approaches	approach	NOUN
fcis-31674	45	17	can	can	AUX
fcis-31674	45	18	optimize	optimize	VERB
fcis-31674	45	19	service	service	NOUN
fcis-31674	45	20	delivery	delivery	NOUN
fcis-31674	45	21	across	across	ADP
fcis-31674	45	22	smart	smart	ADJ
fcis-31674	45	23	transportation	transportation	NOUN
fcis-31674	45	24	,	,	PUNCT
fcis-31674	45	25	energy	energy	NOUN
fcis-31674	45	26	,	,	PUNCT
fcis-31674	45	27	and	and	CCONJ
fcis-31674	45	28	manufacturing	manufacturing	NOUN
fcis-31674	45	29	sectors	sector	NOUN
fcis-31674	45	30	.	.	PUNCT
fcis-31674	46	1	furthermore	furthermore	ADV
fcis-31674	46	2	,	,	PUNCT
fcis-31674	46	3	the	the	DET
fcis-31674	46	4	application	application	NOUN
fcis-31674	46	5	of	of	ADP
fcis-31674	46	6	data	data	NOUN
fcis-31674	46	7	-	-	PUNCT
fcis-31674	46	8	driven	drive	VERB
fcis-31674	46	9	intelligence	intelligence	NOUN
fcis-31674	46	10	extends	extend	VERB
fcis-31674	46	11	to	to	ADP
fcis-31674	46	12	public	public	ADJ
fcis-31674	46	13	health	health	NOUN
fcis-31674	46	14	and	and	CCONJ
fcis-31674	46	15	social	social	ADJ
fcis-31674	46	16	systems	system	NOUN
fcis-31674	46	17	.	.	PUNCT
fcis-31674	47	1	roy	roy	PROPN
fcis-31674	47	2	et	et	PROPN
fcis-31674	47	3	al	al	PROPN
fcis-31674	47	4	.	.	PUNCT
fcis-31674	48	1	[	[	X
fcis-31674	48	2	13	13	NUM
fcis-31674	48	3	]	]	AUX
fcis-31674	48	4	survey	survey	NOUN
fcis-31674	48	5	pandemic	pandemic	ADJ
fcis-31674	48	6	management	management	NOUN
fcis-31674	48	7	architectures	architecture	NOUN
fcis-31674	48	8	,	,	PUNCT
fcis-31674	48	9	emphasizing	emphasize	VERB
fcis-31674	48	10	the	the	DET
fcis-31674	48	11	role	role	NOUN
fcis-31674	48	12	of	of	ADP
fcis-31674	48	13	data	datum	NOUN
fcis-31674	48	14	repositories	repository	NOUN
fcis-31674	48	15	and	and	CCONJ
fcis-31674	48	16	contact	contact	NOUN
fcis-31674	48	17	-	-	PUNCT
fcis-31674	48	18	tracing	trace	VERB
fcis-31674	48	19	applications	application	NOUN
fcis-31674	48	20	in	in	ADP
fcis-31674	48	21	controlling	control	VERB
fcis-31674	48	22	disease	disease	NOUN
fcis-31674	48	23	spread	spread	VERB
fcis-31674	48	24	.	.	PUNCT
fcis-31674	49	1	similarly	similarly	ADV
fcis-31674	49	2	,	,	PUNCT
fcis-31674	49	3	lv	lv	PROPN
fcis-31674	49	4	et	et	PROPN
fcis-31674	49	5	al	al	PROPN
fcis-31674	49	6	.	.	PUNCT
fcis-31674	50	1	[	[	X
fcis-31674	50	2	14	14	NUM
fcis-31674	50	3	]	]	PUNCT
fcis-31674	50	4	explore	explore	VERB
fcis-31674	50	5	behavioral	behavioral	ADJ
fcis-31674	50	6	modeling	modeling	NOUN
fcis-31674	50	7	and	and	CCONJ
fcis-31674	50	8	prediction	prediction	NOUN
fcis-31674	50	9	,	,	PUNCT
fcis-31674	50	10	providing	provide	VERB
fcis-31674	50	11	insights	insight	NOUN
fcis-31674	50	12	into	into	ADP
fcis-31674	50	13	social	social	ADJ
fcis-31674	50	14	perception	perception	NOUN
fcis-31674	50	15	and	and	CCONJ
fcis-31674	50	16	the	the	DET
fcis-31674	50	17	development	development	NOUN
fcis-31674	50	18	of	of	ADP
fcis-31674	50	19	smart	smart	ADJ
fcis-31674	50	20	social	social	ADJ
fcis-31674	50	21	systems	system	NOUN
fcis-31674	50	22	within	within	ADP
fcis-31674	50	23	urban	urban	ADJ
fcis-31674	50	24	environments	environment	NOUN
fcis-31674	50	25	.	.	PUNCT
fcis-31674	51	1	in	in	ADP
fcis-31674	51	2	summary	summary	NOUN
fcis-31674	51	3	,	,	PUNCT
fcis-31674	51	4	these	these	DET
fcis-31674	51	5	surveys	survey	NOUN
fcis-31674	51	6	collectively	collectively	ADV
fcis-31674	51	7	depict	depict	VERB
fcis-31674	51	8	a	a	DET
fcis-31674	51	9	rapidly	rapidly	ADV
fcis-31674	51	10	evolving	evolve	VERB
fcis-31674	51	11	field	field	NOUN
fcis-31674	51	12	where	where	SCONJ
fcis-31674	51	13	data	data	NOUN
fcis-31674	51	14	-	-	PUNCT
fcis-31674	51	15	driven	drive	VERB
fcis-31674	51	16	intelligent	intelligent	ADJ
fcis-31674	51	17	computing	computing	NOUN
fcis-31674	51	18	is	be	AUX
fcis-31674	51	19	applied	apply	VERB
fcis-31674	51	20	across	across	ADP
fcis-31674	51	21	diverse	diverse	ADJ
fcis-31674	51	22	domains	domain	NOUN
fcis-31674	51	23	,	,	PUNCT
fcis-31674	51	24	including	include	VERB
fcis-31674	51	25	transportation	transportation	NOUN
fcis-31674	51	26	,	,	PUNCT
fcis-31674	51	27	healthcare	healthcare	PROPN
fcis-31674	51	28	,	,	PUNCT
fcis-31674	51	29	urban	urban	ADJ
fcis-31674	51	30	management	management	NOUN
fcis-31674	51	31	,	,	PUNCT
fcis-31674	51	32	and	and	CCONJ
fcis-31674	51	33	public	public	ADJ
fcis-31674	51	34	safety	safety	NOUN
fcis-31674	51	35	.	.	PUNCT
fcis-31674	52	1	the	the	DET
fcis-31674	52	2	integration	integration	NOUN
fcis-31674	52	3	of	of	ADP
fcis-31674	52	4	advanced	advanced	ADJ
fcis-31674	52	5	algorithms	algorithm	NOUN
fcis-31674	52	6	,	,	PUNCT
fcis-31674	52	7	edge	edge	NOUN
fcis-31674	52	8	computing	computing	NOUN
fcis-31674	52	9	,	,	PUNCT
fcis-31674	52	10	and	and	CCONJ
fcis-31674	52	11	network	network	NOUN
fcis-31674	52	12	management	management	NOUN
fcis-31674	52	13	strategies	strategy	NOUN
fcis-31674	52	14	is	be	AUX
fcis-31674	52	15	central	central	ADJ
fcis-31674	52	16	to	to	ADP
fcis-31674	52	17	realizing	realize	VERB
fcis-31674	52	18	the	the	DET
fcis-31674	52	19	full	full	ADJ
fcis-31674	52	20	potential	potential	NOUN
fcis-31674	52	21	of	of	ADP
fcis-31674	52	22	intelligent	intelligent	ADJ
fcis-31674	52	23	systems	system	NOUN
fcis-31674	52	24	in	in	ADP
fcis-31674	52	25	a	a	DET
fcis-31674	52	26	data	data	NOUN
fcis-31674	52	27	-	-	PUNCT
fcis-31674	52	28	centric	centric	ADJ
fcis-31674	52	29	era	era	NOUN
fcis-31674	52	30	.	.	PUNCT
fcis-31674	53	1	3	3	X
fcis-31674	53	2	.	.	X
fcis-31674	53	3	intelligent	intelligent	ADJ
fcis-31674	53	4	computing	computing	NOUN
fcis-31674	53	5	model	model	NOUN
fcis-31674	53	6	and	and	CCONJ
fcis-31674	53	7	method	method	NOUN
fcis-31674	53	8	3.1	3.1	NUM
fcis-31674	53	9	.	.	PUNCT
fcis-31674	54	1	supervised	supervised	ADJ
fcis-31674	54	2	learning	learn	VERB
fcis-31674	54	3	supervised	supervised	ADJ
fcis-31674	54	4	learning	learning	NOUN
fcis-31674	54	5	is	be	AUX
fcis-31674	54	6	an	an	DET
fcis-31674	54	7	important	important	ADJ
fcis-31674	54	8	branch	branch	NOUN
fcis-31674	54	9	of	of	ADP
fcis-31674	54	10	machine	machine	NOUN
fcis-31674	54	11	learning	learning	NOUN
fcis-31674	54	12	and	and	CCONJ
fcis-31674	54	13	plays	play	VERB
fcis-31674	54	14	a	a	DET
fcis-31674	54	15	key	key	ADJ
fcis-31674	54	16	role	role	NOUN
fcis-31674	54	17	in	in	ADP
fcis-31674	54	18	data	data	NOUN
fcis-31674	54	19	-	-	PUNCT
fcis-31674	54	20	driven	drive	VERB
fcis-31674	54	21	intelligent	intelligent	ADJ
fcis-31674	54	22	computing	computing	NOUN
fcis-31674	54	23	.	.	PUNCT
fcis-31674	55	1	its	its	PRON
fcis-31674	55	2	core	core	NOUN
fcis-31674	55	3	feature	feature	NOUN
fcis-31674	55	4	is	be	AUX
fcis-31674	55	5	that	that	SCONJ
fcis-31674	55	6	it	it	PRON
fcis-31674	55	7	uses	use	VERB
fcis-31674	55	8	labeled	label	VERB
fcis-31674	55	9	training	training	NOUN
fcis-31674	55	10	data	datum	NOUN
fcis-31674	55	11	to	to	PART
fcis-31674	55	12	train	train	VERB
fcis-31674	55	13	the	the	DET
fcis-31674	55	14	model	model	NOUN
fcis-31674	55	15	,	,	PUNCT
fcis-31674	55	16	and	and	CCONJ
fcis-31674	55	17	constructs	construct	VERB
fcis-31674	55	18	a	a	DET
fcis-31674	55	19	model	model	NOUN
fcis-31674	55	20	that	that	PRON
fcis-31674	55	21	can	can	AUX
fcis-31674	55	22	predict	predict	VERB
fcis-31674	55	23	unknown	unknown	ADJ
fcis-31674	55	24	data	datum	NOUN
fcis-31674	55	25	by	by	ADP
fcis-31674	55	26	learning	learn	VERB
fcis-31674	55	27	the	the	DET
fcis-31674	55	28	mapping	mapping	NOUN
fcis-31674	55	29	relationship	relationship	NOUN
fcis-31674	55	30	between	between	ADP
fcis-31674	55	31	the	the	DET
fcis-31674	55	32	input	input	NOUN
fcis-31674	55	33	data	datum	NOUN
fcis-31674	55	34	and	and	CCONJ
fcis-31674	55	35	the	the	DET
fcis-31674	55	36	corresponding	corresponding	ADJ
fcis-31674	55	37	label	label	NOUN
fcis-31674	55	38	.	.	PUNCT
fcis-31674	56	1	in	in	ADP
fcis-31674	56	2	a	a	DET
fcis-31674	56	3	regression	regression	NOUN
fcis-31674	56	4	task	task	NOUN
fcis-31674	56	5	,	,	PUNCT
fcis-31674	56	6	the	the	DET
fcis-31674	56	7	loss	loss	NOUN
fcis-31674	56	8	function	function	NOUN
fcis-31674	56	9	can	can	AUX
fcis-31674	56	10	be	be	AUX
fcis-31674	56	11	mean	mean	VERB
fcis-31674	56	12	squared	square	VERB
fcis-31674	56	13	error	error	NOUN
fcis-31674	56	14	(	(	PUNCT
fcis-31674	56	15	mse	mse	NOUN
fcis-31674	56	16	)	)	PUNCT
fcis-31674	56	17	,	,	PUNCT
fcis-31674	56	18	which	which	PRON
fcis-31674	56	19	measures	measure	VERB
fcis-31674	56	20	the	the	DET
fcis-31674	56	21	prediction	prediction	NOUN
fcis-31674	56	22	error	error	NOUN
fcis-31674	56	23	of	of	ADP
fcis-31674	56	24	a	a	DET
fcis-31674	56	25	model	model	NOUN
fcis-31674	56	26	by	by	ADP
fcis-31674	56	27	calculating	calculate	VERB
fcis-31674	56	28	the	the	DET
fcis-31674	56	29	average	average	NOUN
fcis-31674	56	30	of	of	ADP
fcis-31674	56	31	the	the	DET
fcis-31674	56	32	sum	sum	NOUN
fcis-31674	56	33	of	of	ADP
fcis-31674	56	34	squared	square	VERB
fcis-31674	56	35	errors	error	NOUN
fcis-31674	56	36	between	between	ADP
fcis-31674	56	37	the	the	DET
fcis-31674	56	38	predicted	predict	VERB
fcis-31674	56	39	and	and	CCONJ
fcis-31674	56	40	true	true	ADJ
fcis-31674	56	41	values	value	NOUN
fcis-31674	56	42	of	of	ADP
fcis-31674	56	43	the	the	DET
fcis-31674	56	44	model	model	NOUN
fcis-31674	56	45	.	.	PUNCT
fcis-31674	57	1	during	during	ADP
fcis-31674	57	2	the	the	DET
fcis-31674	57	3	training	training	NOUN
fcis-31674	57	4	process	process	NOUN
fcis-31674	57	5	,	,	PUNCT
fcis-31674	57	6	the	the	DET
fcis-31674	57	7	model	model	NOUN
fcis-31674	57	8	will	will	AUX
fcis-31674	57	9	constantly	constantly	ADV
fcis-31674	57	10	adjust	adjust	VERB
fcis-31674	57	11	its	its	PRON
fcis-31674	57	12	parameters	parameter	NOUN
fcis-31674	57	13	to	to	PART
fcis-31674	57	14	minimize	minimize	VERB
fcis-31674	57	15	the	the	DET
fcis-31674	57	16	mse	mse	NOUN
fcis-31674	57	17	and	and	CCONJ
fcis-31674	57	18	thus	thus	ADV
fcis-31674	57	19	improve	improve	VERB
fcis-31674	57	20	the	the	DET
fcis-31674	57	21	accuracy	accuracy	NOUN
fcis-31674	57	22	of	of	ADP
fcis-31674	57	23	the	the	DET
fcis-31674	57	24	prediction	prediction	NOUN
fcis-31674	57	25	.	.	PUNCT
fcis-31674	58	1	3.1.1	3.1.1	X
fcis-31674	58	2	.	.	PUNCT
fcis-31674	58	3	linear	linear	NOUN
fcis-31674	58	4	models	model	NOUN
fcis-31674	58	5	linear	linear	PROPN
fcis-31674	58	6	model	model	NOUN
fcis-31674	58	7	is	be	AUX
fcis-31674	58	8	a	a	DET
fcis-31674	58	9	kind	kind	NOUN
fcis-31674	58	10	of	of	ADP
fcis-31674	58	11	basic	basic	ADJ
fcis-31674	58	12	and	and	CCONJ
fcis-31674	58	13	important	important	ADJ
fcis-31674	58	14	model	model	NOUN
fcis-31674	58	15	in	in	ADP
fcis-31674	58	16	supervised	supervised	ADJ
fcis-31674	58	17	learning	learning	NOUN
fcis-31674	58	18	,	,	PUNCT
fcis-31674	58	19	which	which	PRON
fcis-31674	58	20	predicts	predict	VERB
fcis-31674	58	21	by	by	ADP
fcis-31674	58	22	linear	linear	ADJ
fcis-31674	58	23	combination	combination	NOUN
fcis-31674	58	24	of	of	ADP
fcis-31674	58	25	input	input	NOUN
fcis-31674	58	26	features	feature	NOUN
fcis-31674	58	27	.	.	PUNCT
fcis-31674	59	1	it	it	PRON
fcis-31674	59	2	has	have	VERB
fcis-31674	59	3	the	the	DET
fcis-31674	59	4	advantages	advantage	NOUN
fcis-31674	59	5	of	of	ADP
fcis-31674	59	6	simple	simple	ADJ
fcis-31674	59	7	form	form	NOUN
fcis-31674	59	8	and	and	CCONJ
fcis-31674	59	9	strong	strong	ADJ
fcis-31674	59	10	interpretability	interpretability	NOUN
fcis-31674	59	11	,	,	PUNCT
fcis-31674	59	12	and	and	CCONJ
fcis-31674	59	13	is	be	AUX
fcis-31674	59	14	widely	widely	ADV
fcis-31674	59	15	used	use	VERB
fcis-31674	59	16	in	in	ADP
fcis-31674	59	17	many	many	ADJ
fcis-31674	59	18	fields	field	NOUN
fcis-31674	59	19	.	.	PUNCT
fcis-31674	60	1	linear	linear	ADJ
fcis-31674	60	2	regression	regression	NOUN
fcis-31674	60	3	is	be	AUX
fcis-31674	60	4	a	a	DET
fcis-31674	60	5	classic	classic	ADJ
fcis-31674	60	6	linear	linear	NOUN
fcis-31674	60	7	model	model	NOUN
fcis-31674	60	8	used	use	VERB
fcis-31674	60	9	to	to	PART
fcis-31674	60	10	predict	predict	VERB
fcis-31674	60	11	continuous	continuous	ADJ
fcis-31674	60	12	values	value	NOUN
fcis-31674	60	13	.	.	PUNCT
fcis-31674	61	1	the	the	DET
fcis-31674	61	2	basic	basic	ADJ
fcis-31674	61	3	principle	principle	NOUN
fcis-31674	61	4	is	be	AUX
fcis-31674	61	5	to	to	PART
fcis-31674	61	6	find	find	VERB
fcis-31674	61	7	the	the	DET
fcis-31674	61	8	best	good	ADJ
fcis-31674	61	9	linear	linear	ADJ
fcis-31674	61	10	function	function	NOUN
fcis-31674	61	11	that	that	PRON
fcis-31674	61	12	fits	fit	VERB
fcis-31674	61	13	the	the	DET
fcis-31674	61	14	data	datum	NOUN
fcis-31674	61	15	by	by	ADP
fcis-31674	61	16	minimizing	minimize	VERB
fcis-31674	61	17	the	the	DET
fcis-31674	61	18	sum	sum	NOUN
fcis-31674	61	19	of	of	ADP
fcis-31674	61	20	squared	square	VERB
fcis-31674	61	21	errors	error	NOUN
fcis-31674	61	22	between	between	ADP
fcis-31674	61	23	the	the	DET
fcis-31674	61	24	predicted	predict	VERB
fcis-31674	61	25	and	and	CCONJ
fcis-31674	61	26	true	true	ADJ
fcis-31674	61	27	values	value	NOUN
fcis-31674	61	28	.	.	PUNCT
fcis-31674	62	1	in	in	ADP
fcis-31674	62	2	the	the	DET
fcis-31674	62	3	house	house	PROPN
fcis-31674	62	4	price	price	NOUN
fcis-31674	62	5	prediction	prediction	NOUN
fcis-31674	62	6	,	,	PUNCT
fcis-31674	62	7	it	it	PRON
fcis-31674	62	8	is	be	AUX
fcis-31674	62	9	assumed	assume	VERB
fcis-31674	62	10	that	that	SCONJ
fcis-31674	62	11	the	the	DET
fcis-31674	62	12	house	house	NOUN
fcis-31674	62	13	price	price	NOUN
fcis-31674	62	14	is	be	AUX
fcis-31674	62	15	affected	affect	VERB
fcis-31674	62	16	by	by	ADP
fcis-31674	62	17	the	the	DET
fcis-31674	62	18	house	house	PROPN
fcis-31674	62	19	area	area	NOUN
fcis-31674	62	20	,	,	PUNCT
fcis-31674	62	21	the	the	DET
fcis-31674	62	22	number	number	NOUN
fcis-31674	62	23	of	of	ADP
fcis-31674	62	24	rooms	room	NOUN
fcis-31674	62	25	,	,	PUNCT
fcis-31674	62	26	and	and	CCONJ
fcis-31674	62	27	the	the	DET
fcis-31674	62	28	age	age	NOUN
fcis-31674	62	29	of	of	ADP
fcis-31674	62	30	the	the	DET
fcis-31674	62	31	house	house	NOUN
fcis-31674	62	32	.	.	PUNCT
fcis-31674	63	1	we	we	PRON
fcis-31674	63	2	can	can	AUX
fcis-31674	63	3	use	use	VERB
fcis-31674	63	4	these	these	DET
fcis-31674	63	5	factors	factor	NOUN
fcis-31674	63	6	as	as	ADP
fcis-31674	63	7	input	input	NOUN
fcis-31674	63	8	features	feature	NOUN
fcis-31674	63	9	and	and	CCONJ
fcis-31674	63	10	house	house	NOUN
fcis-31674	63	11	prices	price	NOUN
fcis-31674	63	12	as	as	ADP
fcis-31674	63	13	output	output	NOUN
fcis-31674	63	14	labels	label	NOUN
fcis-31674	63	15	.	.	PUNCT
fcis-31674	64	1	a	a	DET
fcis-31674	64	2	linear	linear	ADJ
fcis-31674	64	3	regression	regression	NOUN
fcis-31674	64	4	model	model	NOUN
fcis-31674	64	5	tries	try	VERB
fcis-31674	64	6	to	to	PART
fcis-31674	64	7	find	find	VERB
fcis-31674	64	8	a	a	DET
fcis-31674	64	9	set	set	NOUN
fcis-31674	64	10	of	of	ADP
fcis-31674	64	11	coefficients	coefficient	NOUN
fcis-31674	64	12	(	(	PUNCT
fcis-31674	64	13	weights	weight	NOUN
fcis-31674	64	14	)	)	PUNCT
fcis-31674	64	15	that	that	PRON
fcis-31674	64	16	minimize	minimize	VERB
fcis-31674	64	17	the	the	DET
fcis-31674	64	18	sum	sum	NOUN
fcis-31674	64	19	of	of	ADP
fcis-31674	64	20	squared	square	VERB
fcis-31674	64	21	errors	error	NOUN
fcis-31674	64	22	between	between	ADP
fcis-31674	64	23	the	the	DET
fcis-31674	64	24	predicted	predict	VERB
fcis-31674	64	25	home	home	NOUN
fcis-31674	64	26	price	price	NOUN
fcis-31674	64	27	and	and	CCONJ
fcis-31674	64	28	the	the	DET
fcis-31674	64	29	true	true	ADJ
fcis-31674	64	30	home	home	NOUN
fcis-31674	64	31	price	price	NOUN
fcis-31674	64	32	as	as	ADP
fcis-31674	64	33	a	a	DET
fcis-31674	64	34	linear	linear	ADJ
fcis-31674	64	35	combination	combination	NOUN
fcis-31674	64	36	of	of	ADP
fcis-31674	64	37	these	these	DET
fcis-31674	64	38	features	feature	NOUN
fcis-31674	64	39	.	.	PUNCT
fcis-31674	65	1	the	the	DET
fcis-31674	65	2	linear	linear	PROPN
fcis-31674	65	3	regression	regression	NOUN
fcis-31674	65	4	model	model	NOUN
fcis-31674	65	5	formula	formula	NOUN
fcis-31674	65	6	can	can	AUX
fcis-31674	65	7	be	be	AUX
fcis-31674	65	8	expressed	express	VERB
fcis-31674	65	9	as	as	SCONJ
fcis-31674	65	10	follows	follow	VERB
fcis-31674	65	11	.	.	PUNCT
fcis-31674	66	1	0	0	NUM
fcis-31674	66	2	1	1	NUM
fcis-31674	66	3	1	1	NUM
fcis-31674	66	4	2	2	NUM
fcis-31674	66	5	2	2	NUM
fcis-31674	66	6	n	n	NOUN
fcis-31674	66	7	ny	ny	NOUN
fcis-31674	66	8	x	x	PUNCT
fcis-31674	66	9	x	x	X
fcis-31674	66	10	x	x	PROPN
fcis-31674	66	11			PROPN
fcis-31674	66	12			PROPN
fcis-31674	66	13			VERB
fcis-31674	66	14			PROPN
fcis-31674	66	15			PUNCT
fcis-31674	66	16			PUNCT
fcis-31674	66	17			PUNCT
fcis-31674	66	18			PROPN
fcis-31674	66	19	ò	ò	X
fcis-31674	66	20	(	(	PUNCT
fcis-31674	66	21	1	1	NUM
fcis-31674	66	22	)	)	PUNCT
fcis-31674	66	23	here	here	ADV
fcis-31674	66	24	y	y	PROPN
fcis-31674	66	25	is	be	AUX
fcis-31674	66	26	the	the	DET
fcis-31674	66	27	predicted	predict	VERB
fcis-31674	66	28	house	house	NOUN
fcis-31674	66	29	price	price	NOUN
fcis-31674	66	30	,	,	PUNCT
fcis-31674	66	31	1	1	NUM
fcis-31674	66	32	2	2	NUM
fcis-31674	66	33	,	,	PUNCT
fcis-31674	66	34	,	,	PUNCT
fcis-31674	66	35	,	,	PUNCT
fcis-31674	66	36	nx	nx	X
fcis-31674	66	37	x	x	X
fcis-31674	66	38	x	x	PROPN
fcis-31674	66	39	is	be	AUX
fcis-31674	66	40	the	the	DET
fcis-31674	66	41	input	input	NOUN
fcis-31674	66	42	feature	feature	NOUN
fcis-31674	66	43	,	,	PUNCT
fcis-31674	66	44	0	0	NUM
fcis-31674	66	45	1	1	NUM
fcis-31674	66	46	2	2	NUM
fcis-31674	66	47	,	,	PUNCT
fcis-31674	66	48	,	,	PUNCT
fcis-31674	66	49	,	,	PUNCT
fcis-31674	66	50	,	,	PUNCT
fcis-31674	66	51	n	n	NUM
fcis-31674	66	52			PROPN
fcis-31674	66	53			PROPN
fcis-31674	66	54			PROPN
fcis-31674	66	55	is	be	AUX
fcis-31674	66	56	the	the	DET
fcis-31674	66	57	coefficient	coefficient	NOUN
fcis-31674	66	58	of	of	ADP
fcis-31674	66	59	the	the	DET
fcis-31674	66	60	model	model	NOUN
fcis-31674	66	61	,	,	PUNCT
fcis-31674	66	62	and	and	CCONJ
fcis-31674	66	63	ò	ò	PROPN
fcis-31674	66	64	is	be	AUX
fcis-31674	66	65	the	the	DET
fcis-31674	66	66	error	error	NOUN
fcis-31674	66	67	term	term	NOUN
fcis-31674	66	68	.	.	PUNCT
fcis-31674	67	1	in	in	ADP
fcis-31674	67	2	practice	practice	NOUN
fcis-31674	67	3	,	,	PUNCT
fcis-31674	67	4	the	the	DET
fcis-31674	67	5	least	least	ADJ
fcis-31674	67	6	squares	square	NOUN
fcis-31674	67	7	method	method	NOUN
fcis-31674	67	8	is	be	AUX
fcis-31674	67	9	usually	usually	ADV
fcis-31674	67	10	used	use	VERB
fcis-31674	67	11	to	to	PART
fcis-31674	67	12	solve	solve	VERB
fcis-31674	67	13	these	these	DET
fcis-31674	67	14	coefficients	coefficient	NOUN
fcis-31674	67	15	to	to	PART
fcis-31674	67	16	find	find	VERB
fcis-31674	67	17	the	the	DET
fcis-31674	67	18	best	good	ADJ
fcis-31674	67	19	fitting	fitting	ADJ
fcis-31674	67	20	line	line	NOUN
fcis-31674	67	21	.	.	PUNCT
fcis-31674	68	1	by	by	ADP
fcis-31674	68	2	learning	learn	VERB
fcis-31674	68	3	and	and	CCONJ
fcis-31674	68	4	training	train	VERB
fcis-31674	68	5	a	a	DET
fcis-31674	68	6	large	large	ADJ
fcis-31674	68	7	number	number	NOUN
fcis-31674	68	8	of	of	ADP
fcis-31674	68	9	house	house	NOUN
fcis-31674	68	10	data	data	PROPN
fcis-31674	68	11	,	,	PUNCT
fcis-31674	68	12	the	the	DET
fcis-31674	68	13	linear	linear	ADJ
fcis-31674	68	14	regression	regression	NOUN
fcis-31674	68	15	model	model	NOUN
fcis-31674	68	16	can	can	AUX
fcis-31674	68	17	predict	predict	VERB
fcis-31674	68	18	the	the	DET
fcis-31674	68	19	corresponding	correspond	VERB
fcis-31674	68	20	house	house	NOUN
fcis-31674	68	21	price	price	NOUN
fcis-31674	68	22	according	accord	VERB
fcis-31674	68	23	to	to	ADP
fcis-31674	68	24	new	new	ADJ
fcis-31674	68	25	house	house	NOUN
fcis-31674	68	26	characteristics	characteristic	NOUN
fcis-31674	68	27	.	.	PUNCT
fcis-31674	69	1	logistic	logistic	ADJ
fcis-31674	69	2	regression	regression	NOUN
fcis-31674	69	3	is	be	AUX
fcis-31674	69	4	actually	actually	ADV
fcis-31674	69	5	a	a	DET
fcis-31674	69	6	linear	linear	ADJ
fcis-31674	69	7	model	model	NOUN
fcis-31674	69	8	for	for	ADP
fcis-31674	69	9	binary	binary	ADJ
fcis-31674	69	10	classification	classification	NOUN
fcis-31674	69	11	problems	problem	NOUN
fcis-31674	69	12	.	.	PUNCT
fcis-31674	70	1	the	the	DET
fcis-31674	70	2	principle	principle	NOUN
fcis-31674	70	3	is	be	AUX
fcis-31674	70	4	to	to	PART
fcis-31674	70	5	achieve	achieve	VERB
fcis-31674	70	6	classification	classification	NOUN
fcis-31674	70	7	by	by	ADP
fcis-31674	70	8	transforming	transform	VERB
fcis-31674	70	9	the	the	DET
fcis-31674	70	10	output	output	NOUN
fcis-31674	70	11	of	of	ADP
fcis-31674	70	12	linear	linear	ADJ
fcis-31674	70	13	regression	regression	NOUN
fcis-31674	70	14	through	through	ADP
fcis-31674	70	15	the	the	DET
fcis-31674	70	16	sigmoid	sigmoid	NOUN
fcis-31674	70	17	function	function	NOUN
fcis-31674	70	18	to	to	PART
fcis-31674	70	19	map	map	VERB
fcis-31674	70	20	the	the	DET
fcis-31674	70	21	output	output	NOUN
fcis-31674	70	22	value	value	NOUN
fcis-31674	70	23	to	to	ADP
fcis-31674	70	24	a	a	DET
fcis-31674	70	25	probability	probability	NOUN
fcis-31674	70	26	value	value	NOUN
fcis-31674	70	27	between	between	ADP
fcis-31674	70	28	0	0	NUM
fcis-31674	70	29	and	and	CCONJ
fcis-31674	70	30	1	1	NUM
fcis-31674	70	31	.	.	PUNCT
fcis-31674	71	1	the	the	DET
fcis-31674	71	2	expression	expression	NOUN
fcis-31674	71	3	for	for	ADP
fcis-31674	71	4	the	the	DET
fcis-31674	71	5	sigmoid	sigmoid	NOUN
fcis-31674	71	6	function	function	NOUN
fcis-31674	71	7	is	be	AUX
fcis-31674	71	8	1	1	NUM
fcis-31674	71	9	(	(	PUNCT
fcis-31674	71	10	)	)	PUNCT
fcis-31674	71	11	1	1	NUM
fcis-31674	71	12	z	z	NOUN
fcis-31674	71	13	z	z	NOUN
fcis-31674	71	14	e	e	NOUN
fcis-31674	71	15			PROPN
fcis-31674	71	16			ADJ
fcis-31674	71	17			X
fcis-31674	71	18	(	(	PUNCT
fcis-31674	71	19	2	2	X
fcis-31674	71	20	)	)	PUNCT
fcis-31674	71	21	here	here	ADV
fcis-31674	71	22	z	z	PROPN
fcis-31674	71	23	is	be	AUX
fcis-31674	71	24	the	the	DET
fcis-31674	71	25	output	output	NOUN
fcis-31674	71	26	of	of	ADP
fcis-31674	71	27	linear	linear	ADJ
fcis-31674	71	28	regression	regression	NOUN
fcis-31674	71	29	.	.	PUNCT
fcis-31674	72	1	the	the	DET
fcis-31674	72	2	logistic	logistic	ADJ
fcis-31674	72	3	regression	regression	NOUN
fcis-31674	72	4	model	model	NOUN
fcis-31674	72	5	first	first	ADJ
fcis-31674	72	6	results	result	NOUN
fcis-31674	72	7	in	in	ADP
fcis-31674	72	8	a	a	DET
fcis-31674	72	9	linear	linear	ADJ
fcis-31674	72	10	score	score	NOUN
fcis-31674	72	11	z	z	NOUN
fcis-31674	72	12	by	by	ADP
fcis-31674	72	13	linearly	linearly	ADV
fcis-31674	72	14	combining	combine	VERB
fcis-31674	72	15	these	these	DET
fcis-31674	72	16	features	feature	NOUN
fcis-31674	72	17	,	,	PUNCT
fcis-31674	72	18	which	which	PRON
fcis-31674	72	19	is	be	AUX
fcis-31674	72	20	then	then	ADV
fcis-31674	72	21	fed	feed	VERB
fcis-31674	72	22	into	into	ADP
fcis-31674	72	23	the	the	DET
fcis-31674	72	24	sigmoid	sigmoid	NOUN
fcis-31674	72	25	function	function	NOUN
fcis-31674	72	26	to	to	PART
fcis-31674	72	27	obtain	obtain	VERB
fcis-31674	72	28	a	a	DET
fcis-31674	72	29	probability	probability	NOUN
fcis-31674	72	30	value	value	NOUN
fcis-31674	72	31	between	between	ADP
fcis-31674	72	32	0	0	NUM
fcis-31674	72	33	and	and	CCONJ
fcis-31674	72	34	1	1	NUM
fcis-31674	72	35	.	.	PUNCT
fcis-31674	73	1	usually	usually	ADV
fcis-31674	73	2	,	,	PUNCT
fcis-31674	73	3	0.5	0.5	NUM
fcis-31674	73	4	is	be	AUX
fcis-31674	73	5	used	use	VERB
fcis-31674	73	6	as	as	ADP
fcis-31674	73	7	the	the	DET
fcis-31674	73	8	threshold	threshold	NOUN
fcis-31674	73	9	.	.	PUNCT
fcis-31674	74	1	during	during	ADP
fcis-31674	74	2	training	training	NOUN
fcis-31674	74	3	,	,	PUNCT
fcis-31674	74	4	the	the	DET
fcis-31674	74	5	model	model	NOUN
fcis-31674	74	6	continuously	continuously	ADV
fcis-31674	74	7	adjusts	adjust	VERB
fcis-31674	74	8	the	the	DET
fcis-31674	74	9	parameters	parameter	NOUN
fcis-31674	74	10	such	such	ADJ
fcis-31674	74	11	that	that	SCONJ
fcis-31674	74	12	the	the	DET
fcis-31674	74	13	probability	probability	NOUN
fcis-31674	74	14	of	of	ADP
fcis-31674	74	15	correct	correct	ADJ
fcis-31674	74	16	prediction	prediction	NOUN
fcis-31674	74	17	is	be	AUX
fcis-31674	74	18	maximized	maximize	VERB
fcis-31674	74	19	for	for	ADP
fcis-31674	74	20	known	know	VERB
fcis-31674	74	21	training	training	NOUN
fcis-31674	74	22	data	datum	NOUN
fcis-31674	74	23	.	.	PUNCT
fcis-31674	75	1	linear	linear	ADJ
fcis-31674	75	2	models	model	NOUN
fcis-31674	75	3	are	be	AUX
fcis-31674	75	4	of	of	ADP
fcis-31674	75	5	great	great	ADJ
fcis-31674	75	6	value	value	NOUN
fcis-31674	75	7	in	in	ADP
fcis-31674	75	8	practical	practical	ADJ
fcis-31674	75	9	applications	application	NOUN
fcis-31674	75	10	,	,	PUNCT
fcis-31674	75	11	but	but	CCONJ
fcis-31674	75	12	they	they	PRON
fcis-31674	75	13	also	also	ADV
fcis-31674	75	14	have	have	VERB
fcis-31674	75	15	some	some	DET
fcis-31674	75	16	limitations	limitation	NOUN
fcis-31674	75	17	.	.	PUNCT
fcis-31674	76	1	linear	linear	ADJ
fcis-31674	76	2	models	model	NOUN
fcis-31674	76	3	assume	assume	VERB
fcis-31674	76	4	that	that	SCONJ
fcis-31674	76	5	there	there	PRON
fcis-31674	76	6	is	be	VERB
fcis-31674	76	7	a	a	DET
fcis-31674	76	8	linear	linear	ADJ
fcis-31674	76	9	relationship	relationship	NOUN
fcis-31674	76	10	between	between	ADP
fcis-31674	76	11	input	input	NOUN
fcis-31674	76	12	features	feature	NOUN
fcis-31674	76	13	and	and	CCONJ
fcis-31674	76	14	output	output	NOUN
fcis-31674	76	15	.	.	PUNCT
fcis-31674	77	1	for	for	ADP
fcis-31674	77	2	some	some	DET
fcis-31674	77	3	complex	complex	ADJ
fcis-31674	77	4	nonlinear	nonlinear	ADJ
fcis-31674	77	5	problems	problem	NOUN
fcis-31674	77	6	,	,	PUNCT
fcis-31674	77	7	linear	linear	NOUN
fcis-31674	77	8	models	model	NOUN
fcis-31674	77	9	have	have	AUX
fcis-31674	77	10	limited	limit	VERB
fcis-31674	77	11	fitting	fitting	ADJ
fcis-31674	77	12	ability	ability	NOUN
fcis-31674	77	13	and	and	CCONJ
fcis-31674	77	14	may	may	AUX
fcis-31674	77	15	not	not	PART
fcis-31674	77	16	accurately	accurately	ADV
fcis-31674	77	17	capture	capture	VERB
fcis-31674	77	18	complex	complex	ADJ
fcis-31674	77	19	patterns	pattern	NOUN
fcis-31674	77	20	and	and	CCONJ
fcis-31674	77	21	laws	law	NOUN
fcis-31674	77	22	in	in	ADP
fcis-31674	77	23	the	the	DET
fcis-31674	77	24	data	datum	NOUN
fcis-31674	77	25	.	.	PUNCT
fcis-31674	78	1	linear	linear	ADJ
fcis-31674	78	2	models	model	NOUN
fcis-31674	78	3	are	be	AUX
fcis-31674	78	4	still	still	ADV
fcis-31674	78	5	the	the	DET
fcis-31674	78	6	model	model	NOUN
fcis-31674	78	7	of	of	ADP
fcis-31674	78	8	choice	choice	NOUN
fcis-31674	78	9	in	in	ADP
fcis-31674	78	10	many	many	ADJ
fcis-31674	78	11	practical	practical	ADJ
fcis-31674	78	12	applications	application	NOUN
fcis-31674	78	13	due	due	ADP
fcis-31674	78	14	to	to	ADP
fcis-31674	78	15	their	their	PRON
fcis-31674	78	16	simplicity	simplicity	NOUN
fcis-31674	78	17	,	,	PUNCT
fcis-31674	78	18	computational	computational	ADJ
fcis-31674	78	19	efficiency	efficiency	NOUN
fcis-31674	78	20	and	and	CCONJ
fcis-31674	78	21	interpretability	interpretability	NOUN
fcis-31674	78	22	,	,	PUNCT
fcis-31674	78	23	and	and	CCONJ
fcis-31674	78	24	when	when	SCONJ
fcis-31674	78	25	combined	combine	VERB
fcis-31674	78	26	with	with	ADP
fcis-31674	78	27	other	other	ADJ
fcis-31674	78	28	techniques	technique	NOUN
fcis-31674	78	29	,	,	PUNCT
fcis-31674	78	30	they	they	PRON
fcis-31674	78	31	can	can	AUX
fcis-31674	78	32	also	also	ADV
fcis-31674	78	33	overcome	overcome	VERB
fcis-31674	78	34	their	their	PRON
fcis-31674	78	35	limitations	limitation	NOUN
fcis-31674	78	36	to	to	ADP
fcis-31674	78	37	some	some	DET
fcis-31674	78	38	extent	extent	NOUN
fcis-31674	78	39	and	and	CCONJ
fcis-31674	78	40	play	play	VERB
fcis-31674	78	41	a	a	DET
fcis-31674	78	42	greater	great	ADJ
fcis-31674	78	43	role	role	NOUN
fcis-31674	78	44	.	.	PUNCT
fcis-31674	79	1	3.1.2	3.1.2	X
fcis-31674	79	2	.	.	PUNCT
fcis-31674	79	3	nonlinear	nonlinear	PROPN
fcis-31674	79	4	model	model	PROPN
fcis-31674	79	5	nonlinear	nonlinear	PROPN
fcis-31674	79	6	models	model	NOUN
fcis-31674	79	7	play	play	VERB
fcis-31674	79	8	an	an	DET
fcis-31674	79	9	important	important	ADJ
fcis-31674	79	10	role	role	NOUN
fcis-31674	79	11	in	in	ADP
fcis-31674	79	12	intelligent	intelligent	ADJ
fcis-31674	79	13	computing	computing	NOUN
fcis-31674	79	14	.	.	PUNCT
fcis-31674	80	1	they	they	PRON
fcis-31674	80	2	can	can	AUX
fcis-31674	80	3	deal	deal	VERB
fcis-31674	80	4	with	with	ADP
fcis-31674	80	5	the	the	DET
fcis-31674	80	6	complex	complex	ADJ
fcis-31674	80	7	nonlinear	nonlinear	ADJ
fcis-31674	80	8	relationship	relationship	NOUN
fcis-31674	80	9	between	between	ADP
fcis-31674	80	10	input	input	NOUN
fcis-31674	80	11	and	and	CCONJ
fcis-31674	80	12	output	output	NOUN
fcis-31674	80	13	,	,	PUNCT
fcis-31674	80	14	make	make	VERB
fcis-31674	80	15	up	up	ADP
fcis-31674	80	16	for	for	ADP
fcis-31674	80	17	the	the	DET
fcis-31674	80	18	shortcomings	shortcoming	NOUN
fcis-31674	80	19	of	of	ADP
fcis-31674	80	20	linear	linear	PROPN
fcis-31674	80	21	models	model	NOUN
fcis-31674	80	22	,	,	PUNCT
fcis-31674	80	23	and	and	CCONJ
fcis-31674	80	24	show	show	VERB
fcis-31674	80	25	powerful	powerful	ADJ
fcis-31674	80	26	capabilities	capability	NOUN
fcis-31674	80	27	and	and	CCONJ
fcis-31674	80	28	wide	wide	ADJ
fcis-31674	80	29	applications	application	NOUN
fcis-31674	80	30	in	in	ADP
fcis-31674	80	31	many	many	ADJ
fcis-31674	80	32	fields	field	NOUN
fcis-31674	80	33	such	such	ADJ
fcis-31674	80	34	as	as	ADP
fcis-31674	80	35	image	image	NOUN
fcis-31674	80	36	recognition	recognition	NOUN
fcis-31674	80	37	and	and	CCONJ
fcis-31674	80	38	text	text	NOUN
fcis-31674	80	39	classification	classification	NOUN
fcis-31674	80	40	.	.	PUNCT
fcis-31674	81	1	decision	decision	NOUN
fcis-31674	81	2	tree	tree	NOUN
fcis-31674	81	3	is	be	AUX
fcis-31674	81	4	a	a	DET
fcis-31674	81	5	typical	typical	ADJ
fcis-31674	81	6	nonlinear	nonlinear	ADJ
fcis-31674	81	7	model	model	NOUN
fcis-31674	81	8	,	,	PUNCT
fcis-31674	81	9	which	which	PRON
fcis-31674	81	10	makes	make	VERB
fcis-31674	81	11	decision	decision	NOUN
fcis-31674	81	12	and	and	CCONJ
fcis-31674	81	13	classification	classification	NOUN
fcis-31674	81	14	by	by	ADP
fcis-31674	81	15	building	build	VERB
fcis-31674	81	16	a	a	DET
fcis-31674	81	17	tree	tree	NOUN
fcis-31674	81	18	structure	structure	NOUN
fcis-31674	81	19	.	.	PUNCT
fcis-31674	82	1	the	the	DET
fcis-31674	82	2	building	building	NOUN
fcis-31674	82	3	process	process	NOUN
fcis-31674	82	4	of	of	ADP
fcis-31674	82	5	the	the	DET
fcis-31674	82	6	decision	decision	NOUN
fcis-31674	82	7	tree	tree	NOUN
fcis-31674	82	8	is	be	AUX
fcis-31674	82	9	based	base	VERB
fcis-31674	82	10	on	on	ADP
fcis-31674	82	11	the	the	DET
fcis-31674	82	12	recursive	recursive	ADJ
fcis-31674	82	13	partitioning	partitioning	NOUN
fcis-31674	82	14	of	of	ADP
fcis-31674	82	15	the	the	DET
fcis-31674	82	16	data	datum	NOUN
fcis-31674	82	17	set	set	VERB
fcis-31674	82	18	,	,	PUNCT
fcis-31674	82	19	and	and	CCONJ
fcis-31674	82	20	the	the	DET
fcis-31674	82	21	optimal	optimal	ADJ
fcis-31674	82	22	feature	feature	NOUN
fcis-31674	82	23	is	be	AUX
fcis-31674	82	24	selected	select	VERB
fcis-31674	82	25	at	at	ADP
fcis-31674	82	26	each	each	DET
fcis-31674	82	27	node	node	NOUN
fcis-31674	82	28	to	to	PART
fcis-31674	82	29	split	split	VERB
fcis-31674	82	30	,	,	PUNCT
fcis-31674	82	31	so	so	SCONJ
fcis-31674	82	32	that	that	SCONJ
fcis-31674	82	33	the	the	DET
fcis-31674	82	34	divided	divided	ADJ
fcis-31674	82	35	child	child	NOUN
fcis-31674	82	36	data	datum	NOUN
fcis-31674	82	37	set	set	VERB
fcis-31674	82	38	is	be	AUX
fcis-31674	82	39	cleaner	clean	ADJ
fcis-31674	82	40	in	in	ADP
fcis-31674	82	41	terms	term	NOUN
fcis-31674	82	42	of	of	ADP
fcis-31674	82	43	categories	category	NOUN
fcis-31674	82	44	.	.	PUNCT
fcis-31674	83	1	the	the	DET
fcis-31674	83	2	advantages	advantage	NOUN
fcis-31674	83	3	of	of	ADP
fcis-31674	83	4	decision	decision	NOUN
fcis-31674	83	5	trees	tree	NOUN
fcis-31674	83	6	are	be	AUX
fcis-31674	83	7	that	that	SCONJ
fcis-31674	83	8	the	the	DET
fcis-31674	83	9	model	model	NOUN
fcis-31674	83	10	is	be	AUX
fcis-31674	83	11	simple	simple	ADJ
fcis-31674	83	12	and	and	CCONJ
fcis-31674	83	13	intuitive	intuitive	ADJ
fcis-31674	83	14	,	,	PUNCT
fcis-31674	83	15	easy	easy	ADJ
fcis-31674	83	16	to	to	PART
fcis-31674	83	17	understand	understand	VERB
fcis-31674	83	18	and	and	CCONJ
fcis-31674	83	19	explain	explain	VERB
fcis-31674	83	20	,	,	PUNCT
fcis-31674	83	21	can	can	AUX
fcis-31674	83	22	handle	handle	VERB
fcis-31674	83	23	both	both	CCONJ
fcis-31674	83	24	discrete	discrete	ADJ
fcis-31674	83	25	and	and	CCONJ
fcis-31674	83	26	continuous	continuous	ADJ
fcis-31674	83	27	data	datum	NOUN
fcis-31674	83	28	,	,	PUNCT
fcis-31674	83	29	and	and	CCONJ
fcis-31674	83	30	does	do	AUX
fcis-31674	83	31	not	not	PART
fcis-31674	83	32	require	require	VERB
fcis-31674	83	33	complex	complex	ADJ
fcis-31674	83	34	data	datum	NOUN
fcis-31674	83	35	preprocessing	preprocessing	NOUN
fcis-31674	83	36	.	.	PUNCT
fcis-31674	84	1	however	however	ADV
fcis-31674	84	2	,	,	PUNCT
fcis-31674	84	3	decision	decision	NOUN
fcis-31674	84	4	trees	tree	NOUN
fcis-31674	84	5	are	be	AUX
fcis-31674	84	6	prone	prone	ADJ
fcis-31674	84	7	to	to	ADP
fcis-31674	84	8	overfitting	overfitte	VERB
fcis-31674	84	9	,	,	PUNCT
fcis-31674	84	10	especially	especially	ADV
fcis-31674	84	11	when	when	SCONJ
fcis-31674	84	12	the	the	DET
fcis-31674	84	13	dataset	dataset	NOUN
fcis-31674	84	14	is	be	AUX
fcis-31674	84	15	small	small	ADJ
fcis-31674	84	16	or	or	CCONJ
fcis-31674	84	17	has	have	VERB
fcis-31674	84	18	many	many	ADJ
fcis-31674	84	19	features	feature	NOUN
fcis-31674	84	20	.	.	PUNCT
fcis-31674	85	1	in	in	ADP
fcis-31674	85	2	order	order	NOUN
fcis-31674	85	3	to	to	PART
fcis-31674	85	4	overcome	overcome	VERB
fcis-31674	85	5	the	the	DET
fcis-31674	85	6	overfitting	overfitting	NOUN
fcis-31674	85	7	problem	problem	NOUN
fcis-31674	85	8	,	,	PUNCT
fcis-31674	85	9	108	108	NUM
fcis-31674	85	10	pruning	pruning	NOUN
fcis-31674	85	11	techniques	technique	NOUN
fcis-31674	85	12	are	be	AUX
fcis-31674	85	13	usually	usually	ADV
fcis-31674	85	14	used	use	VERB
fcis-31674	85	15	to	to	PART
fcis-31674	85	16	simplify	simplify	VERB
fcis-31674	85	17	the	the	DET
fcis-31674	85	18	decision	decision	NOUN
fcis-31674	85	19	tree	tree	NOUN
fcis-31674	85	20	,	,	PUNCT
fcis-31674	85	21	remove	remove	VERB
fcis-31674	85	22	some	some	DET
fcis-31674	85	23	unnecessary	unnecessary	ADJ
fcis-31674	85	24	branches	branch	NOUN
fcis-31674	85	25	,	,	PUNCT
fcis-31674	85	26	and	and	CCONJ
fcis-31674	85	27	improve	improve	VERB
fcis-31674	85	28	the	the	DET
fcis-31674	85	29	generalization	generalization	NOUN
fcis-31674	85	30	ability	ability	NOUN
fcis-31674	85	31	of	of	ADP
fcis-31674	85	32	the	the	DET
fcis-31674	85	33	model	model	NOUN
fcis-31674	85	34	.	.	PUNCT
fcis-31674	86	1	support	support	NOUN
fcis-31674	86	2	vector	vector	NOUN
fcis-31674	86	3	machine	machine	NOUN
fcis-31674	86	4	(	(	PUNCT
fcis-31674	86	5	svm	svm	PROPN
fcis-31674	86	6	)	)	PUNCT
fcis-31674	86	7	is	be	AUX
fcis-31674	86	8	also	also	ADV
fcis-31674	86	9	a	a	DET
fcis-31674	86	10	commonly	commonly	ADV
fcis-31674	86	11	used	use	VERB
fcis-31674	86	12	nonlinear	nonlinear	ADJ
fcis-31674	86	13	model	model	NOUN
fcis-31674	86	14	.	.	PUNCT
fcis-31674	87	1	its	its	PRON
fcis-31674	87	2	core	core	ADJ
fcis-31674	87	3	idea	idea	NOUN
fcis-31674	87	4	is	be	AUX
fcis-31674	87	5	to	to	PART
fcis-31674	87	6	find	find	VERB
fcis-31674	87	7	an	an	DET
fcis-31674	87	8	optimal	optimal	ADJ
fcis-31674	87	9	hyperplane	hyperplane	NOUN
fcis-31674	87	10	to	to	PART
fcis-31674	87	11	separate	separate	VERB
fcis-31674	87	12	the	the	DET
fcis-31674	87	13	data	data	NOUN
fcis-31674	87	14	points	point	NOUN
fcis-31674	87	15	of	of	ADP
fcis-31674	87	16	different	different	ADJ
fcis-31674	87	17	classes	class	NOUN
fcis-31674	87	18	as	as	ADV
fcis-31674	87	19	much	much	ADV
fcis-31674	87	20	as	as	ADP
fcis-31674	87	21	possible	possible	ADJ
fcis-31674	87	22	,	,	PUNCT
fcis-31674	87	23	and	and	CCONJ
fcis-31674	87	24	maximize	maximize	VERB
fcis-31674	87	25	the	the	DET
fcis-31674	87	26	margin	margin	NOUN
fcis-31674	87	27	between	between	ADP
fcis-31674	87	28	the	the	DET
fcis-31674	87	29	two	two	NUM
fcis-31674	87	30	classes	class	NOUN
fcis-31674	87	31	of	of	ADP
fcis-31674	87	32	data	datum	NOUN
fcis-31674	87	33	points	point	NOUN
fcis-31674	87	34	and	and	CCONJ
fcis-31674	87	35	the	the	DET
fcis-31674	87	36	hyperplane	hyperplane	NOUN
fcis-31674	87	37	.	.	PUNCT
fcis-31674	88	1	for	for	ADP
fcis-31674	88	2	linearly	linearly	ADV
fcis-31674	88	3	separable	separable	ADJ
fcis-31674	88	4	data	datum	NOUN
fcis-31674	88	5	,	,	PUNCT
fcis-31674	88	6	svm	svm	PROPN
fcis-31674	88	7	can	can	AUX
fcis-31674	88	8	directly	directly	ADV
fcis-31674	88	9	find	find	VERB
fcis-31674	88	10	such	such	ADJ
fcis-31674	88	11	hyperplanes	hyperplane	NOUN
fcis-31674	88	12	.	.	PUNCT
fcis-31674	89	1	svm	svm	PROPN
fcis-31674	89	2	performs	perform	VERB
fcis-31674	89	3	well	well	ADV
fcis-31674	89	4	in	in	ADP
fcis-31674	89	5	dealing	deal	VERB
fcis-31674	89	6	with	with	ADP
fcis-31674	89	7	high	high	ADJ
fcis-31674	89	8	-	-	PUNCT
fcis-31674	89	9	dimensional	dimensional	ADJ
fcis-31674	89	10	data	datum	NOUN
fcis-31674	89	11	and	and	CCONJ
fcis-31674	89	12	small	small	ADJ
fcis-31674	89	13	sample	sample	NOUN
fcis-31674	89	14	data	datum	NOUN
fcis-31674	89	15	,	,	PUNCT
fcis-31674	89	16	with	with	ADP
fcis-31674	89	17	high	high	ADJ
fcis-31674	89	18	classification	classification	NOUN
fcis-31674	89	19	accuracy	accuracy	NOUN
fcis-31674	89	20	and	and	CCONJ
fcis-31674	89	21	good	good	ADJ
fcis-31674	89	22	generalization	generalization	NOUN
fcis-31674	89	23	performance	performance	NOUN
fcis-31674	89	24	.	.	PUNCT
fcis-31674	90	1	however	however	ADV
fcis-31674	90	2	,	,	PUNCT
fcis-31674	90	3	the	the	DET
fcis-31674	90	4	computational	computational	ADJ
fcis-31674	90	5	complexity	complexity	NOUN
fcis-31674	90	6	of	of	ADP
fcis-31674	90	7	svm	svm	PROPN
fcis-31674	90	8	is	be	AUX
fcis-31674	90	9	high	high	ADJ
fcis-31674	90	10	,	,	PUNCT
fcis-31674	90	11	especially	especially	ADV
fcis-31674	90	12	when	when	SCONJ
fcis-31674	90	13	dealing	deal	VERB
fcis-31674	90	14	with	with	ADP
fcis-31674	90	15	large	large	ADJ
fcis-31674	90	16	-	-	PUNCT
fcis-31674	90	17	scale	scale	NOUN
fcis-31674	90	18	data	data	NOUN
fcis-31674	90	19	sets	set	NOUN
fcis-31674	90	20	,	,	PUNCT
fcis-31674	90	21	the	the	DET
fcis-31674	90	22	training	training	NOUN
fcis-31674	90	23	time	time	NOUN
fcis-31674	90	24	is	be	AUX
fcis-31674	90	25	long	long	ADJ
fcis-31674	90	26	,	,	PUNCT
fcis-31674	90	27	and	and	CCONJ
fcis-31674	90	28	it	it	PRON
fcis-31674	90	29	is	be	AUX
fcis-31674	90	30	sensitive	sensitive	ADJ
fcis-31674	90	31	to	to	ADP
fcis-31674	90	32	the	the	DET
fcis-31674	90	33	choice	choice	NOUN
fcis-31674	90	34	of	of	ADP
fcis-31674	90	35	kernel	kernel	PROPN
fcis-31674	90	36	function	function	PROPN
fcis-31674	90	37	and	and	CCONJ
fcis-31674	90	38	parameter	parameter	NOUN
fcis-31674	90	39	adjustment	adjustment	NOUN
fcis-31674	90	40	,	,	PUNCT
fcis-31674	90	41	which	which	PRON
fcis-31674	90	42	requires	require	VERB
fcis-31674	90	43	some	some	DET
fcis-31674	90	44	experience	experience	NOUN
fcis-31674	90	45	and	and	CCONJ
fcis-31674	90	46	skills	skill	NOUN
fcis-31674	90	47	.	.	PUNCT
fcis-31674	91	1	3.2	3.2	NUM
fcis-31674	91	2	.	.	PUNCT
fcis-31674	92	1	unsupervised	unsupervised	ADJ
fcis-31674	92	2	learning	learning	NOUN
fcis-31674	92	3	as	as	ADP
fcis-31674	92	4	an	an	DET
fcis-31674	92	5	important	important	ADJ
fcis-31674	92	6	branch	branch	NOUN
fcis-31674	92	7	of	of	ADP
fcis-31674	92	8	machine	machine	NOUN
fcis-31674	92	9	learning	learning	NOUN
fcis-31674	92	10	,	,	PUNCT
fcis-31674	92	11	unsupervised	unsupervised	ADJ
fcis-31674	92	12	learning	learning	NOUN
fcis-31674	92	13	has	have	VERB
fcis-31674	92	14	a	a	DET
fcis-31674	92	15	unique	unique	ADJ
fcis-31674	92	16	position	position	NOUN
fcis-31674	92	17	and	and	CCONJ
fcis-31674	92	18	role	role	NOUN
fcis-31674	92	19	in	in	ADP
fcis-31674	92	20	data	data	NOUN
fcis-31674	92	21	-	-	PUNCT
fcis-31674	92	22	driven	drive	VERB
fcis-31674	92	23	intelligent	intelligent	ADJ
fcis-31674	92	24	computing	computing	NOUN
fcis-31674	92	25	.	.	PUNCT
fcis-31674	93	1	it	it	PRON
fcis-31674	93	2	aims	aim	VERB
fcis-31674	93	3	to	to	PART
fcis-31674	93	4	automatically	automatically	ADV
fcis-31674	93	5	discover	discover	VERB
fcis-31674	93	6	potential	potential	ADJ
fcis-31674	93	7	patterns	pattern	NOUN
fcis-31674	93	8	,	,	PUNCT
fcis-31674	93	9	structures	structure	NOUN
fcis-31674	93	10	and	and	CCONJ
fcis-31674	93	11	regularities	regularity	NOUN
fcis-31674	93	12	from	from	ADP
fcis-31674	93	13	the	the	DET
fcis-31674	93	14	data	datum	NOUN
fcis-31674	93	15	,	,	PUNCT
fcis-31674	93	16	and	and	CCONJ
fcis-31674	93	17	mine	mine	VERB
fcis-31674	93	18	the	the	DET
fcis-31674	93	19	intrinsic	intrinsic	ADJ
fcis-31674	93	20	characteristics	characteristic	NOUN
fcis-31674	93	21	and	and	CCONJ
fcis-31674	93	22	information	information	NOUN
fcis-31674	93	23	of	of	ADP
fcis-31674	93	24	the	the	DET
fcis-31674	93	25	data	datum	NOUN
fcis-31674	93	26	.	.	PUNCT
fcis-31674	94	1	the	the	DET
fcis-31674	94	2	main	main	ADJ
fcis-31674	94	3	tasks	task	NOUN
fcis-31674	94	4	of	of	ADP
fcis-31674	94	5	unsupervised	unsupervised	ADJ
fcis-31674	94	6	learning	learning	NOUN
fcis-31674	94	7	include	include	VERB
fcis-31674	94	8	clustering	clustering	NOUN
fcis-31674	94	9	,	,	PUNCT
fcis-31674	94	10	dimensionality	dimensionality	NOUN
fcis-31674	94	11	reduction	reduction	NOUN
fcis-31674	94	12	,	,	PUNCT
fcis-31674	94	13	anomaly	anomaly	NOUN
fcis-31674	94	14	detection	detection	NOUN
fcis-31674	94	15	,	,	PUNCT
fcis-31674	94	16	etc	etc	X
fcis-31674	94	17	.	.	X
fcis-31674	95	1	3.2.1	3.2.1	NUM
fcis-31674	95	2	.	.	PUNCT
fcis-31674	95	3	clustering	cluster	VERB
fcis-31674	95	4	algorithms	algorithm	NOUN
fcis-31674	95	5	clustering	cluster	VERB
fcis-31674	95	6	algorithm	algorithm	NOUN
fcis-31674	95	7	is	be	AUX
fcis-31674	95	8	an	an	DET
fcis-31674	95	9	important	important	ADJ
fcis-31674	95	10	algorithm	algorithm	NOUN
fcis-31674	95	11	in	in	ADP
fcis-31674	95	12	unsupervised	unsupervised	ADJ
fcis-31674	95	13	learning	learning	NOUN
fcis-31674	95	14	.	.	PUNCT
fcis-31674	96	1	its	its	PRON
fcis-31674	96	2	core	core	ADJ
fcis-31674	96	3	goal	goal	NOUN
fcis-31674	96	4	is	be	AUX
fcis-31674	96	5	to	to	PART
fcis-31674	96	6	divide	divide	VERB
fcis-31674	96	7	the	the	DET
fcis-31674	96	8	samples	sample	NOUN
fcis-31674	96	9	in	in	ADP
fcis-31674	96	10	the	the	DET
fcis-31674	96	11	data	datum	NOUN
fcis-31674	96	12	set	set	VERB
fcis-31674	96	13	into	into	ADP
fcis-31674	96	14	different	different	ADJ
fcis-31674	96	15	clusters	cluster	NOUN
fcis-31674	96	16	according	accord	VERB
fcis-31674	96	17	to	to	ADP
fcis-31674	96	18	their	their	PRON
fcis-31674	96	19	similarity	similarity	NOUN
fcis-31674	96	20	,	,	PUNCT
fcis-31674	96	21	so	so	SCONJ
fcis-31674	96	22	that	that	SCONJ
fcis-31674	96	23	the	the	DET
fcis-31674	96	24	samples	sample	NOUN
fcis-31674	96	25	in	in	ADP
fcis-31674	96	26	the	the	DET
fcis-31674	96	27	same	same	ADJ
fcis-31674	96	28	cluster	cluster	NOUN
fcis-31674	96	29	have	have	VERB
fcis-31674	96	30	high	high	ADJ
fcis-31674	96	31	similarity	similarity	NOUN
fcis-31674	96	32	,	,	PUNCT
fcis-31674	96	33	and	and	CCONJ
fcis-31674	96	34	the	the	DET
fcis-31674	96	35	samples	sample	NOUN
fcis-31674	96	36	between	between	ADP
fcis-31674	96	37	different	different	ADJ
fcis-31674	96	38	clusters	cluster	NOUN
fcis-31674	96	39	have	have	VERB
fcis-31674	96	40	large	large	ADJ
fcis-31674	96	41	differences	difference	NOUN
fcis-31674	96	42	.	.	PUNCT
fcis-31674	97	1	k	k	X
fcis-31674	97	2	-	-	PUNCT
fcis-31674	97	3	means	means	NOUN
fcis-31674	97	4	algorithm	algorithm	NOUN
fcis-31674	97	5	is	be	AUX
fcis-31674	97	6	a	a	DET
fcis-31674	97	7	classical	classical	ADJ
fcis-31674	97	8	clustering	clustering	ADJ
fcis-31674	97	9	algorithm	algorithm	NOUN
fcis-31674	97	10	,	,	PUNCT
fcis-31674	97	11	which	which	PRON
fcis-31674	97	12	has	have	VERB
fcis-31674	97	13	the	the	DET
fcis-31674	97	14	advantages	advantage	NOUN
fcis-31674	97	15	of	of	ADP
fcis-31674	97	16	simple	simple	ADJ
fcis-31674	97	17	principle	principle	NOUN
fcis-31674	97	18	and	and	CCONJ
fcis-31674	97	19	high	high	ADJ
fcis-31674	97	20	computational	computational	ADJ
fcis-31674	97	21	efficiency	efficiency	NOUN
fcis-31674	97	22	.	.	PUNCT
fcis-31674	98	1	the	the	DET
fcis-31674	98	2	basic	basic	ADJ
fcis-31674	98	3	idea	idea	NOUN
fcis-31674	98	4	is	be	AUX
fcis-31674	98	5	to	to	PART
fcis-31674	98	6	first	first	ADV
fcis-31674	98	7	randomly	randomly	ADV
fcis-31674	98	8	select	select	VERB
fcis-31674	98	9	an	an	DET
fcis-31674	98	10	initial	initial	ADJ
fcis-31674	98	11	cluster	cluster	NOUN
fcis-31674	98	12	center	center	NOUN
fcis-31674	98	13	,	,	PUNCT
fcis-31674	98	14	then	then	ADV
fcis-31674	98	15	calculate	calculate	VERB
fcis-31674	98	16	the	the	DET
fcis-31674	98	17	distance	distance	NOUN
fcis-31674	98	18	from	from	ADP
fcis-31674	98	19	each	each	DET
fcis-31674	98	20	sample	sample	NOUN
fcis-31674	98	21	to	to	ADP
fcis-31674	98	22	the	the	DET
fcis-31674	98	23	center	center	NOUN
fcis-31674	98	24	,	,	PUNCT
fcis-31674	98	25	and	and	CCONJ
fcis-31674	98	26	assign	assign	VERB
fcis-31674	98	27	the	the	DET
fcis-31674	98	28	sample	sample	NOUN
fcis-31674	98	29	to	to	ADP
fcis-31674	98	30	the	the	DET
fcis-31674	98	31	cluster	cluster	NOUN
fcis-31674	98	32	with	with	ADP
fcis-31674	98	33	the	the	DET
fcis-31674	98	34	closest	close	ADJ
fcis-31674	98	35	center	center	NOUN
fcis-31674	98	36	.	.	PUNCT
fcis-31674	99	1	next	next	ADV
fcis-31674	99	2	,	,	PUNCT
fcis-31674	99	3	the	the	DET
fcis-31674	99	4	center	center	NOUN
fcis-31674	99	5	of	of	ADP
fcis-31674	99	6	each	each	DET
fcis-31674	99	7	cluster	cluster	NOUN
fcis-31674	99	8	is	be	AUX
fcis-31674	99	9	recalculated	recalculate	VERB
fcis-31674	99	10	.	.	PUNCT
fcis-31674	100	1	typically	typically	ADV
fcis-31674	100	2	,	,	PUNCT
fcis-31674	100	3	the	the	DET
fcis-31674	100	4	new	new	ADJ
fcis-31674	100	5	center	center	NOUN
fcis-31674	100	6	is	be	AUX
fcis-31674	100	7	calculated	calculate	VERB
fcis-31674	100	8	as	as	ADP
fcis-31674	100	9	the	the	DET
fcis-31674	100	10	mean	mean	NOUN
fcis-31674	100	11	of	of	ADP
fcis-31674	100	12	all	all	DET
fcis-31674	100	13	the	the	DET
fcis-31674	100	14	samples	sample	NOUN
fcis-31674	100	15	in	in	ADP
fcis-31674	100	16	the	the	DET
fcis-31674	100	17	cluster	cluster	NOUN
fcis-31674	100	18	.	.	PUNCT
fcis-31674	101	1	this	this	DET
fcis-31674	101	2	process	process	NOUN
fcis-31674	101	3	is	be	AUX
fcis-31674	101	4	repeated	repeat	VERB
fcis-31674	101	5	until	until	SCONJ
fcis-31674	101	6	the	the	DET
fcis-31674	101	7	cluster	cluster	NOUN
fcis-31674	101	8	centers	center	NOUN
fcis-31674	101	9	do	do	AUX
fcis-31674	101	10	not	not	PART
fcis-31674	101	11	change	change	VERB
fcis-31674	101	12	or	or	CCONJ
fcis-31674	101	13	a	a	DET
fcis-31674	101	14	preset	preset	ADJ
fcis-31674	101	15	number	number	NOUN
fcis-31674	101	16	of	of	ADP
fcis-31674	101	17	iterations	iteration	NOUN
fcis-31674	101	18	is	be	AUX
fcis-31674	101	19	reached	reach	VERB
fcis-31674	101	20	.	.	PUNCT
fcis-31674	102	1	dbscan	dbscan	NOUN
fcis-31674	102	2	(	(	PUNCT
fcis-31674	102	3	density	density	NOUN
fcis-31674	102	4	-	-	PUNCT
fcis-31674	102	5	based	base	VERB
fcis-31674	102	6	spatial	spatial	ADJ
fcis-31674	102	7	clustering	clustering	NOUN
fcis-31674	102	8	of	of	ADP
fcis-31674	102	9	applications	application	NOUN
fcis-31674	102	10	with	with	ADP
fcis-31674	102	11	noise	noise	NOUN
fcis-31674	102	12	)	)	PUNCT
fcis-31674	102	13	algorithm	algorithm	NOUN
fcis-31674	102	14	is	be	AUX
fcis-31674	102	15	a	a	DET
fcis-31674	102	16	density	density	NOUN
fcis-31674	102	17	-	-	PUNCT
fcis-31674	102	18	based	base	VERB
fcis-31674	102	19	clustering	clustering	ADJ
fcis-31674	102	20	algorithm	algorithm	NOUN
fcis-31674	102	21	.	.	PUNCT
fcis-31674	103	1	unlike	unlike	ADP
fcis-31674	103	2	k	k	NOUN
fcis-31674	103	3	-	-	PUNCT
fcis-31674	103	4	means	means	NOUN
fcis-31674	103	5	algorithm	algorithm	NOUN
fcis-31674	103	6	,	,	PUNCT
fcis-31674	103	7	it	it	PRON
fcis-31674	103	8	does	do	AUX
fcis-31674	103	9	not	not	PART
fcis-31674	103	10	need	need	VERB
fcis-31674	103	11	to	to	PART
fcis-31674	103	12	specify	specify	VERB
fcis-31674	103	13	the	the	DET
fcis-31674	103	14	number	number	NOUN
fcis-31674	103	15	of	of	ADP
fcis-31674	103	16	clusters	cluster	NOUN
fcis-31674	103	17	in	in	ADP
fcis-31674	103	18	advance	advance	NOUN
fcis-31674	103	19	.	.	PUNCT
fcis-31674	104	1	it	it	PRON
fcis-31674	104	2	can	can	AUX
fcis-31674	104	3	find	find	VERB
fcis-31674	104	4	clusters	cluster	NOUN
fcis-31674	104	5	of	of	ADP
fcis-31674	104	6	arbitrary	arbitrary	ADJ
fcis-31674	104	7	shape	shape	NOUN
fcis-31674	104	8	and	and	CCONJ
fcis-31674	104	9	identify	identify	VERB
fcis-31674	104	10	noise	noise	NOUN
fcis-31674	104	11	points	point	NOUN
fcis-31674	104	12	in	in	ADP
fcis-31674	104	13	the	the	DET
fcis-31674	104	14	data	datum	NOUN
fcis-31674	104	15	set	set	VERB
fcis-31674	104	16	.	.	PUNCT
fcis-31674	105	1	the	the	DET
fcis-31674	105	2	principle	principle	NOUN
fcis-31674	105	3	of	of	ADP
fcis-31674	105	4	dbscan	dbscan	PROPN
fcis-31674	105	5	algorithm	algorithm	NOUN
fcis-31674	105	6	is	be	AUX
fcis-31674	105	7	based	base	VERB
fcis-31674	105	8	on	on	ADP
fcis-31674	105	9	the	the	DET
fcis-31674	105	10	density	density	NOUN
fcis-31674	105	11	of	of	ADP
fcis-31674	105	12	data	datum	NOUN
fcis-31674	105	13	points	point	NOUN
fcis-31674	105	14	,	,	PUNCT
fcis-31674	105	15	if	if	SCONJ
fcis-31674	105	16	the	the	DET
fcis-31674	105	17	density	density	NOUN
fcis-31674	105	18	of	of	ADP
fcis-31674	105	19	data	datum	NOUN
fcis-31674	105	20	points	point	NOUN
fcis-31674	105	21	in	in	ADP
fcis-31674	105	22	a	a	DET
fcis-31674	105	23	region	region	NOUN
fcis-31674	105	24	exceeds	exceed	VERB
fcis-31674	105	25	a	a	DET
fcis-31674	105	26	certain	certain	ADJ
fcis-31674	105	27	threshold	threshold	NOUN
fcis-31674	105	28	,	,	PUNCT
fcis-31674	105	29	the	the	DET
fcis-31674	105	30	points	point	NOUN
fcis-31674	105	31	are	be	AUX
fcis-31674	105	32	divided	divide	VERB
fcis-31674	105	33	into	into	ADP
fcis-31674	105	34	a	a	DET
fcis-31674	105	35	cluster	cluster	NOUN
fcis-31674	105	36	.	.	PUNCT
fcis-31674	106	1	clustering	cluster	VERB
fcis-31674	106	2	algorithms	algorithm	NOUN
fcis-31674	106	3	have	have	AUX
fcis-31674	106	4	achieved	achieve	VERB
fcis-31674	106	5	remarkable	remarkable	ADJ
fcis-31674	106	6	results	result	NOUN
fcis-31674	106	7	in	in	ADP
fcis-31674	106	8	practical	practical	ADJ
fcis-31674	106	9	applications	application	NOUN
fcis-31674	106	10	,	,	PUNCT
fcis-31674	106	11	but	but	CCONJ
fcis-31674	106	12	they	they	PRON
fcis-31674	106	13	also	also	ADV
fcis-31674	106	14	face	face	VERB
fcis-31674	106	15	some	some	DET
fcis-31674	106	16	challenges	challenge	NOUN
fcis-31674	106	17	.	.	PUNCT
fcis-31674	107	1	different	different	ADJ
fcis-31674	107	2	clustering	cluster	VERB
fcis-31674	107	3	algorithms	algorithm	NOUN
fcis-31674	107	4	have	have	VERB
fcis-31674	107	5	different	different	ADJ
fcis-31674	107	6	requirements	requirement	NOUN
fcis-31674	107	7	for	for	ADP
fcis-31674	107	8	the	the	DET
fcis-31674	107	9	distribution	distribution	NOUN
fcis-31674	107	10	and	and	CCONJ
fcis-31674	107	11	characteristics	characteristic	NOUN
fcis-31674	107	12	of	of	ADP
fcis-31674	107	13	the	the	DET
fcis-31674	107	14	data	datum	NOUN
fcis-31674	107	15	,	,	PUNCT
fcis-31674	107	16	and	and	CCONJ
fcis-31674	107	17	choosing	choose	VERB
fcis-31674	107	18	the	the	DET
fcis-31674	107	19	appropriate	appropriate	ADJ
fcis-31674	107	20	clustering	clustering	ADJ
fcis-31674	107	21	algorithm	algorithm	NOUN
fcis-31674	107	22	and	and	CCONJ
fcis-31674	107	23	parameters	parameter	NOUN
fcis-31674	107	24	is	be	AUX
fcis-31674	107	25	a	a	DET
fcis-31674	107	26	complex	complex	ADJ
fcis-31674	107	27	problem	problem	NOUN
fcis-31674	107	28	that	that	PRON
fcis-31674	107	29	needs	need	VERB
fcis-31674	107	30	to	to	PART
fcis-31674	107	31	be	be	AUX
fcis-31674	107	32	experimented	experiment	VERB
fcis-31674	107	33	and	and	CCONJ
fcis-31674	107	34	tuned	tune	VERB
fcis-31674	107	35	according	accord	VERB
fcis-31674	107	36	to	to	ADP
fcis-31674	107	37	the	the	DET
fcis-31674	107	38	specific	specific	ADJ
fcis-31674	107	39	data	datum	NOUN
fcis-31674	107	40	and	and	CCONJ
fcis-31674	107	41	application	application	NOUN
fcis-31674	107	42	scenarios	scenario	NOUN
fcis-31674	107	43	.	.	PUNCT
fcis-31674	108	1	the	the	DET
fcis-31674	108	2	evaluation	evaluation	NOUN
fcis-31674	108	3	of	of	ADP
fcis-31674	108	4	clustering	clustering	ADJ
fcis-31674	108	5	results	result	NOUN
fcis-31674	108	6	is	be	AUX
fcis-31674	108	7	also	also	ADV
fcis-31674	108	8	a	a	DET
fcis-31674	108	9	difficulty	difficulty	NOUN
fcis-31674	108	10	,	,	PUNCT
fcis-31674	108	11	since	since	SCONJ
fcis-31674	108	12	there	there	PRON
fcis-31674	108	13	are	be	VERB
fcis-31674	108	14	no	no	DET
fcis-31674	108	15	pre	pre	ADJ
fcis-31674	108	16	-	-	ADJ
fcis-31674	108	17	labeled	label	VERB
fcis-31674	108	18	labels	label	NOUN
fcis-31674	108	19	,	,	PUNCT
fcis-31674	108	20	it	it	PRON
fcis-31674	108	21	is	be	AUX
fcis-31674	108	22	difficult	difficult	ADJ
fcis-31674	108	23	to	to	PART
fcis-31674	108	24	objectively	objectively	ADV
fcis-31674	108	25	evaluate	evaluate	VERB
fcis-31674	108	26	the	the	DET
fcis-31674	108	27	quality	quality	NOUN
fcis-31674	108	28	and	and	CCONJ
fcis-31674	108	29	effect	effect	NOUN
fcis-31674	108	30	of	of	ADP
fcis-31674	108	31	clustering	clustering	NOUN
fcis-31674	108	32	.	.	PUNCT
fcis-31674	109	1	3.2.2	3.2.2	X
fcis-31674	109	2	.	.	PUNCT
fcis-31674	109	3	dimensionality	dimensionality	NOUN
fcis-31674	109	4	reduction	reduction	NOUN
fcis-31674	109	5	algorithms	algorithm	NOUN
fcis-31674	109	6	in	in	ADP
fcis-31674	109	7	data	data	NOUN
fcis-31674	109	8	-	-	PUNCT
fcis-31674	109	9	driven	drive	VERB
fcis-31674	109	10	intelligent	intelligent	ADJ
fcis-31674	109	11	computing	computing	NOUN
fcis-31674	109	12	,	,	PUNCT
fcis-31674	109	13	the	the	DET
fcis-31674	109	14	processing	processing	NOUN
fcis-31674	109	15	of	of	ADP
fcis-31674	109	16	high	high	ADJ
fcis-31674	109	17	-	-	PUNCT
fcis-31674	109	18	dimensional	dimensional	ADJ
fcis-31674	109	19	data	datum	NOUN
fcis-31674	109	20	is	be	AUX
fcis-31674	109	21	a	a	DET
fcis-31674	109	22	key	key	ADJ
fcis-31674	109	23	problem	problem	NOUN
fcis-31674	109	24	.	.	PUNCT
fcis-31674	110	1	high	high	ADJ
fcis-31674	110	2	-	-	PUNCT
fcis-31674	110	3	dimensional	dimensional	ADJ
fcis-31674	110	4	data	datum	NOUN
fcis-31674	110	5	not	not	PART
fcis-31674	110	6	only	only	ADV
fcis-31674	110	7	increases	increase	VERB
fcis-31674	110	8	the	the	DET
fcis-31674	110	9	computational	computational	ADJ
fcis-31674	110	10	complexity	complexity	NOUN
fcis-31674	110	11	,	,	PUNCT
fcis-31674	110	12	but	but	CCONJ
fcis-31674	110	13	also	also	ADV
fcis-31674	110	14	may	may	AUX
fcis-31674	110	15	lead	lead	VERB
fcis-31674	110	16	to	to	ADP
fcis-31674	110	17	the	the	DET
fcis-31674	110	18	curse	curse	NOUN
fcis-31674	110	19	of	of	ADP
fcis-31674	110	20	dimensionality	dimensionality	NOUN
fcis-31674	110	21	,	,	PUNCT
fcis-31674	110	22	making	make	VERB
fcis-31674	110	23	the	the	DET
fcis-31674	110	24	training	training	NOUN
fcis-31674	110	25	and	and	CCONJ
fcis-31674	110	26	analysis	analysis	NOUN
fcis-31674	110	27	of	of	ADP
fcis-31674	110	28	models	model	NOUN
fcis-31674	110	29	difficult	difficult	ADJ
fcis-31674	110	30	.	.	PUNCT
fcis-31674	111	1	the	the	DET
fcis-31674	111	2	purpose	purpose	NOUN
fcis-31674	111	3	of	of	ADP
fcis-31674	111	4	dimensionality	dimensionality	NOUN
fcis-31674	111	5	reduction	reduction	NOUN
fcis-31674	111	6	algorithm	algorithm	NOUN
fcis-31674	111	7	is	be	AUX
fcis-31674	111	8	to	to	PART
fcis-31674	111	9	transform	transform	VERB
fcis-31674	111	10	highdimensional	highdimensional	ADJ
fcis-31674	111	11	data	datum	NOUN
fcis-31674	111	12	into	into	ADP
fcis-31674	111	13	low	low	ADJ
fcis-31674	111	14	-	-	PUNCT
fcis-31674	111	15	dimensional	dimensional	ADJ
fcis-31674	111	16	data	datum	NOUN
fcis-31674	111	17	while	while	SCONJ
fcis-31674	111	18	preserving	preserve	VERB
fcis-31674	111	19	the	the	DET
fcis-31674	111	20	main	main	ADJ
fcis-31674	111	21	characteristics	characteristic	NOUN
fcis-31674	111	22	and	and	CCONJ
fcis-31674	111	23	information	information	NOUN
fcis-31674	111	24	of	of	ADP
fcis-31674	111	25	the	the	DET
fcis-31674	111	26	data	datum	NOUN
fcis-31674	111	27	.	.	PUNCT
fcis-31674	112	1	principal	principal	ADJ
fcis-31674	112	2	component	component	NOUN
fcis-31674	112	3	analysis	analysis	NOUN
fcis-31674	112	4	(	(	PUNCT
fcis-31674	112	5	pca	pca	NOUN
fcis-31674	112	6	)	)	PUNCT
fcis-31674	112	7	is	be	AUX
fcis-31674	112	8	a	a	DET
fcis-31674	112	9	widely	widely	ADV
fcis-31674	112	10	used	use	VERB
fcis-31674	112	11	linear	linear	NOUN
fcis-31674	112	12	dimensionality	dimensionality	NOUN
fcis-31674	112	13	reduction	reduction	NOUN
fcis-31674	112	14	algorithm	algorithm	NOUN
fcis-31674	112	15	.	.	PUNCT
fcis-31674	113	1	it	it	PRON
fcis-31674	113	2	projects	project	VERB
fcis-31674	113	3	the	the	DET
fcis-31674	113	4	original	original	ADJ
fcis-31674	113	5	data	datum	NOUN
fcis-31674	113	6	into	into	ADP
fcis-31674	113	7	a	a	DET
fcis-31674	113	8	new	new	ADJ
fcis-31674	113	9	low	low	ADJ
fcis-31674	113	10	-	-	PUNCT
fcis-31674	113	11	dimensional	dimensional	ADJ
fcis-31674	113	12	space	space	NOUN
fcis-31674	113	13	by	by	ADP
fcis-31674	113	14	linear	linear	PROPN
fcis-31674	113	15	transformation	transformation	NOUN
fcis-31674	113	16	,	,	PUNCT
fcis-31674	113	17	so	so	SCONJ
fcis-31674	113	18	that	that	SCONJ
fcis-31674	113	19	the	the	DET
fcis-31674	113	20	projected	project	VERB
fcis-31674	113	21	data	data	NOUN
fcis-31674	113	22	has	have	VERB
fcis-31674	113	23	the	the	DET
fcis-31674	113	24	largest	large	ADJ
fcis-31674	113	25	variance	variance	NOUN
fcis-31674	113	26	.	.	PUNCT
fcis-31674	114	1	the	the	DET
fcis-31674	114	2	basic	basic	ADJ
fcis-31674	114	3	principle	principle	NOUN
fcis-31674	114	4	of	of	ADP
fcis-31674	114	5	pca	pca	PROPN
fcis-31674	114	6	is	be	AUX
fcis-31674	114	7	based	base	VERB
fcis-31674	114	8	on	on	ADP
fcis-31674	114	9	the	the	DET
fcis-31674	114	10	covariance	covariance	NOUN
fcis-31674	114	11	matrix	matrix	NOUN
fcis-31674	114	12	of	of	ADP
fcis-31674	114	13	the	the	DET
fcis-31674	114	14	data	datum	NOUN
fcis-31674	114	15	,	,	PUNCT
fcis-31674	114	16	and	and	CCONJ
fcis-31674	114	17	through	through	ADP
fcis-31674	114	18	the	the	DET
fcis-31674	114	19	eigen	eigen	PROPN
fcis-31674	114	20	decomposition	decomposition	NOUN
fcis-31674	114	21	of	of	ADP
fcis-31674	114	22	the	the	DET
fcis-31674	114	23	covariance	covariance	NOUN
fcis-31674	114	24	matrix	matrix	NOUN
fcis-31674	114	25	,	,	PUNCT
fcis-31674	114	26	the	the	DET
fcis-31674	114	27	eigenvalues	eigenvalue	NOUN
fcis-31674	114	28	and	and	CCONJ
fcis-31674	114	29	eigenvectors	eigenvector	NOUN
fcis-31674	114	30	are	be	AUX
fcis-31674	114	31	obtained	obtain	VERB
fcis-31674	114	32	.	.	PUNCT
fcis-31674	115	1	the	the	DET
fcis-31674	115	2	eigenvalues	eigenvalue	NOUN
fcis-31674	115	3	represent	represent	VERB
fcis-31674	115	4	the	the	DET
fcis-31674	115	5	variance	variance	NOUN
fcis-31674	115	6	of	of	ADP
fcis-31674	115	7	the	the	DET
fcis-31674	115	8	data	datum	NOUN
fcis-31674	115	9	in	in	ADP
fcis-31674	115	10	the	the	DET
fcis-31674	115	11	direction	direction	NOUN
fcis-31674	115	12	of	of	ADP
fcis-31674	115	13	the	the	DET
fcis-31674	115	14	eigenvectors	eigenvector	NOUN
fcis-31674	115	15	,	,	PUNCT
fcis-31674	115	16	which	which	PRON
fcis-31674	115	17	represent	represent	VERB
fcis-31674	115	18	the	the	DET
fcis-31674	115	19	direction	direction	NOUN
fcis-31674	115	20	of	of	ADP
fcis-31674	115	21	the	the	DET
fcis-31674	115	22	projection	projection	NOUN
fcis-31674	115	23	.	.	PUNCT
fcis-31674	116	1	the	the	DET
fcis-31674	116	2	feature	feature	NOUN
fcis-31674	116	3	values	value	NOUN
fcis-31674	116	4	are	be	AUX
fcis-31674	116	5	sorted	sort	VERB
fcis-31674	116	6	from	from	ADP
fcis-31674	116	7	large	large	ADJ
fcis-31674	116	8	to	to	ADP
fcis-31674	116	9	small	small	ADJ
fcis-31674	116	10	,	,	PUNCT
fcis-31674	116	11	the	the	DET
fcis-31674	116	12	feature	feature	NOUN
fcis-31674	116	13	vectors	vector	NOUN
fcis-31674	116	14	corresponding	correspond	VERB
fcis-31674	116	15	to	to	ADP
fcis-31674	116	16	the	the	DET
fcis-31674	116	17	top	top	ADJ
fcis-31674	116	18	k	k	ADP
fcis-31674	116	19	largest	large	ADJ
fcis-31674	116	20	feature	feature	NOUN
fcis-31674	116	21	values	value	NOUN
fcis-31674	116	22	are	be	AUX
fcis-31674	116	23	selected	select	VERB
fcis-31674	116	24	,	,	PUNCT
fcis-31674	116	25	and	and	CCONJ
fcis-31674	116	26	the	the	DET
fcis-31674	116	27	original	original	ADJ
fcis-31674	116	28	data	datum	NOUN
fcis-31674	116	29	is	be	AUX
fcis-31674	116	30	projected	project	VERB
fcis-31674	116	31	into	into	ADP
fcis-31674	116	32	the	the	DET
fcis-31674	116	33	new	new	ADJ
fcis-31674	116	34	space	space	NOUN
fcis-31674	116	35	composed	compose	VERB
fcis-31674	116	36	of	of	ADP
fcis-31674	116	37	these	these	DET
fcis-31674	116	38	k	k	PROPN
fcis-31674	116	39	feature	feature	NOUN
fcis-31674	116	40	vectors	vector	NOUN
fcis-31674	116	41	to	to	PART
fcis-31674	116	42	achieve	achieve	VERB
fcis-31674	116	43	dimensionality	dimensionality	NOUN
fcis-31674	116	44	reduction	reduction	NOUN
fcis-31674	116	45	.	.	PUNCT
fcis-31674	117	1	t	t	PROPN
fcis-31674	117	2	-	-	PUNCT
fcis-31674	117	3	sne	sne	PROPN
fcis-31674	117	4	(	(	PUNCT
fcis-31674	117	5	t	t	NOUN
fcis-31674	117	6	-	-	PUNCT
fcis-31674	117	7	distributed	distribute	VERB
fcis-31674	117	8	stochastic	stochastic	ADJ
fcis-31674	117	9	neighbor	neighbor	NOUN
fcis-31674	117	10	embedding	embed	VERB
fcis-31674	117	11	)	)	PUNCT
fcis-31674	117	12	is	be	AUX
fcis-31674	117	13	a	a	DET
fcis-31674	117	14	nonlinear	nonlinear	ADJ
fcis-31674	117	15	dimensionality	dimensionality	NOUN
fcis-31674	117	16	reduction	reduction	NOUN
fcis-31674	117	17	algorithm	algorithm	NOUN
fcis-31674	117	18	,	,	PUNCT
fcis-31674	117	19	which	which	PRON
fcis-31674	117	20	is	be	AUX
fcis-31674	117	21	suitable	suitable	ADJ
fcis-31674	117	22	for	for	ADP
fcis-31674	117	23	visualization	visualization	NOUN
fcis-31674	117	24	of	of	ADP
fcis-31674	117	25	high	high	ADJ
fcis-31674	117	26	-	-	PUNCT
fcis-31674	117	27	dimensional	dimensional	ADJ
fcis-31674	117	28	data	datum	NOUN
fcis-31674	117	29	.	.	PUNCT
fcis-31674	118	1	different	different	ADJ
fcis-31674	118	2	from	from	ADP
fcis-31674	118	3	pca	pca	PROPN
fcis-31674	118	4	,	,	PUNCT
fcis-31674	118	5	t	t	PROPN
fcis-31674	118	6	-	-	PUNCT
fcis-31674	118	7	sne	sne	NOUN
fcis-31674	118	8	can	can	AUX
fcis-31674	118	9	better	well	ADV
fcis-31674	118	10	preserve	preserve	VERB
fcis-31674	118	11	the	the	DET
fcis-31674	118	12	local	local	ADJ
fcis-31674	118	13	structure	structure	NOUN
fcis-31674	118	14	and	and	CCONJ
fcis-31674	118	15	similarity	similarity	NOUN
fcis-31674	118	16	of	of	ADP
fcis-31674	118	17	the	the	DET
fcis-31674	118	18	data	datum	NOUN
fcis-31674	118	19	in	in	ADP
fcis-31674	118	20	the	the	DET
fcis-31674	118	21	high	high	ADJ
fcis-31674	118	22	-	-	PUNCT
fcis-31674	118	23	dimensional	dimensional	ADJ
fcis-31674	118	24	space	space	NOUN
fcis-31674	118	25	.	.	PUNCT
fcis-31674	119	1	the	the	DET
fcis-31674	119	2	principle	principle	NOUN
fcis-31674	119	3	of	of	ADP
fcis-31674	119	4	t	t	PROPN
fcis-31674	119	5	-	-	PUNCT
fcis-31674	119	6	sne	sne	NOUN
fcis-31674	119	7	is	be	AUX
fcis-31674	119	8	to	to	PART
fcis-31674	119	9	map	map	VERB
fcis-31674	119	10	data	datum	NOUN
fcis-31674	119	11	points	point	NOUN
fcis-31674	119	12	in	in	ADP
fcis-31674	119	13	the	the	DET
fcis-31674	119	14	highdimensional	highdimensional	ADJ
fcis-31674	119	15	space	space	NOUN
fcis-31674	119	16	to	to	ADP
fcis-31674	119	17	the	the	DET
fcis-31674	119	18	low	low	ADV
fcis-31674	119	19	-	-	PUNCT
fcis-31674	119	20	dimensional	dimensional	ADJ
fcis-31674	119	21	space	space	NOUN
fcis-31674	119	22	by	by	ADP
fcis-31674	119	23	constructing	construct	VERB
fcis-31674	119	24	a	a	DET
fcis-31674	119	25	probability	probability	NOUN
fcis-31674	119	26	distribution	distribution	NOUN
fcis-31674	119	27	,	,	PUNCT
fcis-31674	119	28	such	such	ADJ
fcis-31674	119	29	that	that	SCONJ
fcis-31674	119	30	data	data	NOUN
fcis-31674	119	31	points	point	NOUN
fcis-31674	119	32	that	that	PRON
fcis-31674	119	33	are	be	AUX
fcis-31674	119	34	similar	similar	ADJ
fcis-31674	119	35	in	in	ADP
fcis-31674	119	36	the	the	DET
fcis-31674	119	37	high	high	ADV
fcis-31674	119	38	-	-	PUNCT
fcis-31674	119	39	dimensional	dimensional	ADJ
fcis-31674	119	40	space	space	NOUN
fcis-31674	119	41	are	be	AUX
fcis-31674	119	42	also	also	ADV
fcis-31674	119	43	similar	similar	ADJ
fcis-31674	119	44	in	in	ADP
fcis-31674	119	45	the	the	DET
fcis-31674	119	46	low	low	ADJ
fcis-31674	119	47	-	-	PUNCT
fcis-31674	119	48	dimensional	dimensional	ADJ
fcis-31674	119	49	space	space	NOUN
fcis-31674	119	50	.	.	PUNCT
fcis-31674	120	1	linear	linear	ADJ
fcis-31674	120	2	dimensionality	dimensionality	NOUN
fcis-31674	120	3	reduction	reduction	NOUN
fcis-31674	120	4	algorithms	algorithm	NOUN
fcis-31674	120	5	such	such	ADJ
fcis-31674	120	6	as	as	ADP
fcis-31674	120	7	pca	pca	PROPN
fcis-31674	120	8	have	have	AUX
fcis-31674	120	9	limited	limit	VERB
fcis-31674	120	10	processing	processing	NOUN
fcis-31674	120	11	ability	ability	NOUN
fcis-31674	120	12	for	for	ADP
fcis-31674	120	13	nonlinear	nonlinear	ADJ
fcis-31674	120	14	data	datum	NOUN
fcis-31674	120	15	,	,	PUNCT
fcis-31674	120	16	and	and	CCONJ
fcis-31674	120	17	may	may	AUX
fcis-31674	120	18	not	not	PART
fcis-31674	120	19	accurately	accurately	ADV
fcis-31674	120	20	preserve	preserve	VERB
fcis-31674	120	21	the	the	DET
fcis-31674	120	22	characteristics	characteristic	NOUN
fcis-31674	120	23	and	and	CCONJ
fcis-31674	120	24	structure	structure	NOUN
fcis-31674	120	25	of	of	ADP
fcis-31674	120	26	the	the	DET
fcis-31674	120	27	data	datum	NOUN
fcis-31674	120	28	.	.	PUNCT
fcis-31674	121	1	although	although	SCONJ
fcis-31674	121	2	nonlinear	nonlinear	ADJ
fcis-31674	121	3	dimensionality	dimensionality	NOUN
fcis-31674	121	4	reduction	reduction	NOUN
fcis-31674	121	5	algorithms	algorithm	NOUN
fcis-31674	121	6	such	such	ADJ
fcis-31674	121	7	as	as	ADP
fcis-31674	121	8	t	t	PROPN
fcis-31674	121	9	-	-	PUNCT
fcis-31674	121	10	sne	sne	NOUN
fcis-31674	121	11	can	can	AUX
fcis-31674	121	12	better	well	ADV
fcis-31674	121	13	deal	deal	VERB
fcis-31674	121	14	with	with	ADP
fcis-31674	121	15	nonlinear	nonlinear	ADJ
fcis-31674	121	16	data	datum	NOUN
fcis-31674	121	17	,	,	PUNCT
fcis-31674	121	18	they	they	PRON
fcis-31674	121	19	have	have	VERB
fcis-31674	121	20	high	high	ADJ
fcis-31674	121	21	computational	computational	ADJ
fcis-31674	121	22	complexity	complexity	NOUN
fcis-31674	121	23	and	and	CCONJ
fcis-31674	121	24	long	long	ADJ
fcis-31674	121	25	computing	computing	NOUN
fcis-31674	121	26	time	time	NOUN
fcis-31674	121	27	,	,	PUNCT
fcis-31674	121	28	and	and	CCONJ
fcis-31674	121	29	the	the	DET
fcis-31674	121	30	dimensionality	dimensionality	NOUN
fcis-31674	121	31	reduction	reduction	NOUN
fcis-31674	121	32	results	result	NOUN
fcis-31674	121	33	may	may	AUX
fcis-31674	121	34	have	have	VERB
fcis-31674	121	35	some	some	DET
fcis-31674	121	36	randomness	randomness	NOUN
fcis-31674	121	37	.	.	PUNCT
fcis-31674	122	1	3.3	3.3	NUM
fcis-31674	122	2	.	.	PUNCT
fcis-31674	122	3	reinforcement	reinforcement	NOUN
fcis-31674	122	4	learning	learning	NOUN
fcis-31674	122	5	reinforcement	reinforcement	NOUN
fcis-31674	122	6	learning	learning	NOUN
fcis-31674	122	7	is	be	AUX
fcis-31674	122	8	an	an	DET
fcis-31674	122	9	important	important	ADJ
fcis-31674	122	10	field	field	NOUN
fcis-31674	122	11	of	of	ADP
fcis-31674	122	12	machine	machine	NOUN
fcis-31674	122	13	learning	learning	NOUN
fcis-31674	122	14	.	.	PUNCT
fcis-31674	123	1	it	it	PRON
fcis-31674	123	2	focuses	focus	VERB
fcis-31674	123	3	on	on	ADP
fcis-31674	123	4	how	how	SCONJ
fcis-31674	123	5	an	an	DET
fcis-31674	123	6	agent	agent	NOUN
fcis-31674	123	7	can	can	AUX
fcis-31674	123	8	learn	learn	VERB
fcis-31674	123	9	an	an	DET
fcis-31674	123	10	optimal	optimal	ADJ
fcis-31674	123	11	behavior	behavior	NOUN
fcis-31674	123	12	policy	policy	NOUN
fcis-31674	123	13	by	by	ADP
fcis-31674	123	14	interacting	interact	VERB
fcis-31674	123	15	with	with	ADP
fcis-31674	123	16	the	the	DET
fcis-31674	123	17	environment	environment	NOUN
fcis-31674	123	18	in	in	ADP
fcis-31674	123	19	a	a	DET
fcis-31674	123	20	dynamic	dynamic	ADJ
fcis-31674	123	21	environment	environment	NOUN
fcis-31674	123	22	with	with	ADP
fcis-31674	123	23	the	the	DET
fcis-31674	123	24	goal	goal	NOUN
fcis-31674	123	25	of	of	ADP
fcis-31674	123	26	maximizing	maximize	VERB
fcis-31674	123	27	the	the	DET
fcis-31674	123	28	cumulative	cumulative	ADJ
fcis-31674	123	29	reward	reward	NOUN
fcis-31674	123	30	.	.	PUNCT
fcis-31674	124	1	reinforcement	reinforcement	NOUN
fcis-31674	124	2	learning	learning	NOUN
fcis-31674	124	3	mainly	mainly	ADV
fcis-31674	124	4	consists	consist	VERB
fcis-31674	124	5	of	of	ADP
fcis-31674	124	6	several	several	ADJ
fcis-31674	124	7	key	key	ADJ
fcis-31674	124	8	elements	element	NOUN
fcis-31674	124	9	:	:	PUNCT
fcis-31674	124	10	agent	agent	NOUN
fcis-31674	124	11	,	,	PUNCT
fcis-31674	124	12	environment	environment	NOUN
fcis-31674	124	13	,	,	PUNCT
fcis-31674	124	14	state	state	NOUN
fcis-31674	124	15	,	,	PUNCT
fcis-31674	124	16	action	action	NOUN
fcis-31674	124	17	and	and	CCONJ
fcis-31674	124	18	reward	reward	NOUN
fcis-31674	124	19	.	.	PUNCT
fcis-31674	125	1	agents	agent	NOUN
fcis-31674	125	2	are	be	AUX
fcis-31674	125	3	entities	entity	NOUN
fcis-31674	125	4	that	that	PRON
fcis-31674	125	5	perform	perform	VERB
fcis-31674	125	6	actions	action	NOUN
fcis-31674	125	7	and	and	CCONJ
fcis-31674	125	8	learn	learn	VERB
fcis-31674	125	9	from	from	ADP
fcis-31674	125	10	their	their	PRON
fcis-31674	125	11	environment	environment	NOUN
fcis-31674	125	12	;	;	PUNCT
fcis-31674	125	13	the	the	DET
fcis-31674	125	14	environment	environment	NOUN
fcis-31674	125	15	is	be	AUX
fcis-31674	125	16	the	the	DET
fcis-31674	125	17	external	external	ADJ
fcis-31674	125	18	world	world	NOUN
fcis-31674	125	19	of	of	ADP
fcis-31674	125	20	the	the	DET
fcis-31674	125	21	agent	agent	NOUN
fcis-31674	125	22	,	,	PUNCT
fcis-31674	125	23	which	which	PRON
fcis-31674	125	24	generates	generate	VERB
fcis-31674	125	25	new	new	ADJ
fcis-31674	125	26	states	state	NOUN
fcis-31674	125	27	and	and	CCONJ
fcis-31674	125	28	reward	reward	VERB
fcis-31674	125	29	feedback	feedback	NOUN
fcis-31674	125	30	based	base	VERB
fcis-31674	125	31	on	on	ADP
fcis-31674	125	32	the	the	DET
fcis-31674	125	33	agent	agent	NOUN
fcis-31674	125	34	's	's	PART
fcis-31674	125	35	actions	action	NOUN
fcis-31674	125	36	.	.	PUNCT
fcis-31674	126	1	the	the	DET
fcis-31674	126	2	state	state	NOUN
fcis-31674	126	3	is	be	AUX
fcis-31674	126	4	a	a	DET
fcis-31674	126	5	description	description	NOUN
fcis-31674	126	6	of	of	ADP
fcis-31674	126	7	the	the	DET
fcis-31674	126	8	current	current	ADJ
fcis-31674	126	9	situation	situation	NOUN
fcis-31674	126	10	of	of	ADP
fcis-31674	126	11	the	the	DET
fcis-31674	126	12	environment	environment	NOUN
fcis-31674	126	13	,	,	PUNCT
fcis-31674	126	14	which	which	PRON
fcis-31674	126	15	contains	contain	VERB
fcis-31674	126	16	the	the	DET
fcis-31674	126	17	information	information	NOUN
fcis-31674	126	18	that	that	PRON
fcis-31674	126	19	the	the	DET
fcis-31674	126	20	agent	agent	NOUN
fcis-31674	126	21	needs	need	VERB
fcis-31674	126	22	to	to	PART
fcis-31674	126	23	make	make	VERB
fcis-31674	126	24	a	a	DET
fcis-31674	126	25	decision	decision	NOUN
fcis-31674	126	26	.	.	PUNCT
fcis-31674	127	1	actions	action	NOUN
fcis-31674	127	2	are	be	AUX
fcis-31674	127	3	the	the	DET
fcis-31674	127	4	actions	action	NOUN
fcis-31674	127	5	that	that	PRON
fcis-31674	127	6	an	an	DET
fcis-31674	127	7	agent	agent	NOUN
fcis-31674	127	8	can	can	AUX
fcis-31674	127	9	take	take	VERB
fcis-31674	127	10	in	in	ADP
fcis-31674	127	11	a	a	DET
fcis-31674	127	12	state	state	NOUN
fcis-31674	127	13	;	;	PUNCT
fcis-31674	127	14	the	the	DET
fcis-31674	127	15	reward	reward	NOUN
fcis-31674	127	16	is	be	AUX
fcis-31674	127	17	the	the	DET
fcis-31674	127	18	environment	environment	NOUN
fcis-31674	127	19	's	's	PART
fcis-31674	127	20	feedback	feedback	NOUN
fcis-31674	127	21	to	to	ADP
fcis-31674	127	22	the	the	DET
fcis-31674	127	23	agent	agent	NOUN
fcis-31674	127	24	after	after	ADP
fcis-31674	127	25	taking	take	VERB
fcis-31674	127	26	an	an	DET
fcis-31674	127	27	action	action	NOUN
fcis-31674	127	28	.	.	PUNCT
fcis-31674	128	1	it	it	PRON
fcis-31674	128	2	indicates	indicate	VERB
fcis-31674	128	3	how	how	SCONJ
fcis-31674	128	4	good	good	ADJ
fcis-31674	128	5	or	or	CCONJ
fcis-31674	128	6	bad	bad	ADJ
fcis-31674	128	7	the	the	DET
fcis-31674	128	8	action	action	NOUN
fcis-31674	128	9	was	be	AUX
fcis-31674	128	10	.	.	PUNCT
fcis-31674	129	1	q	q	PUNCT
fcis-31674	129	2	learning	learning	NOUN
fcis-31674	129	3	is	be	AUX
fcis-31674	129	4	a	a	DET
fcis-31674	129	5	classical	classical	ADJ
fcis-31674	129	6	reinforcement	reinforcement	NOUN
fcis-31674	129	7	learning	learning	NOUN
fcis-31674	129	8	algorithm	algorithm	NOUN
fcis-31674	129	9	,	,	PUNCT
fcis-31674	129	10	which	which	PRON
fcis-31674	129	11	belongs	belong	VERB
fcis-31674	129	12	to	to	ADP
fcis-31674	129	13	the	the	DET
fcis-31674	129	14	model	model	NOUN
fcis-31674	129	15	-	-	PUNCT
fcis-31674	129	16	free	free	ADJ
fcis-31674	129	17	learning	learning	NOUN
fcis-31674	129	18	method	method	NOUN
fcis-31674	129	19	.	.	PUNCT
fcis-31674	130	1	the	the	DET
fcis-31674	130	2	q	q	NOUN
fcis-31674	130	3	represents	represent	VERB
fcis-31674	130	4	the	the	DET
fcis-31674	130	5	expectation	expectation	NOUN
fcis-31674	130	6	of	of	ADP
fcis-31674	130	7	the	the	DET
fcis-31674	130	8	cumulative	cumulative	ADJ
fcis-31674	130	9	reward	reward	NOUN
fcis-31674	130	10	that	that	PRON
fcis-31674	130	11	can	can	AUX
fcis-31674	130	12	be	be	AUX
fcis-31674	130	13	obtained	obtain	VERB
fcis-31674	130	14	by	by	ADP
fcis-31674	130	15	taking	take	VERB
fcis-31674	130	16	an	an	DET
fcis-31674	130	17	action	action	NOUN
fcis-31674	130	18	in	in	ADP
fcis-31674	130	19	a	a	DET
fcis-31674	130	20	state	state	NOUN
fcis-31674	130	21	.	.	PUNCT
fcis-31674	131	1	the	the	DET
fcis-31674	131	2	core	core	ADJ
fcis-31674	131	3	idea	idea	NOUN
fcis-31674	131	4	of	of	ADP
fcis-31674	131	5	q	q	NOUN
fcis-31674	131	6	learning	learning	NOUN
fcis-31674	131	7	is	be	AUX
fcis-31674	131	8	to	to	PART
fcis-31674	131	9	use	use	VERB
fcis-31674	131	10	the	the	DET
fcis-31674	131	11	bellman	bellman	NOUN
fcis-31674	131	12	equation	equation	NOUN
fcis-31674	131	13	to	to	PART
fcis-31674	131	14	update	update	VERB
fcis-31674	131	15	the	the	DET
fcis-31674	131	16	q	q	NOUN
fcis-31674	131	17	value	value	NOUN
fcis-31674	131	18	and	and	CCONJ
fcis-31674	131	19	gradually	gradually	ADV
fcis-31674	131	20	approach	approach	VERB
fcis-31674	131	21	the	the	DET
fcis-31674	131	22	optimal	optimal	ADJ
fcis-31674	131	23	q	q	NOUN
fcis-31674	131	24	value	value	NOUN
fcis-31674	131	25	function	function	NOUN
fcis-31674	131	26	.	.	PUNCT
fcis-31674	132	1	the	the	DET
fcis-31674	132	2	basic	basic	ADJ
fcis-31674	132	3	form	form	NOUN
fcis-31674	132	4	of	of	ADP
fcis-31674	132	5	the	the	DET
fcis-31674	132	6	bellman	bellman	NOUN
fcis-31674	132	7	equation	equation	NOUN
fcis-31674	132	8	is	be	AUX
fcis-31674	132	9	:	:	PUNCT
fcis-31674	132	10	109	109	NUM
fcis-31674	132	11	(	(	PUNCT
fcis-31674	132	12	,	,	PUNCT
fcis-31674	132	13	)	)	PUNCT
fcis-31674	132	14	(	(	PUNCT
fcis-31674	132	15	,	,	PUNCT
fcis-31674	132	16	)	)	PUNCT
fcis-31674	133	1	[	[	PUNCT
fcis-31674	133	2	max	max	PROPN
fcis-31674	133	3	(	(	PUNCT
fcis-31674	133	4	,	,	PUNCT
fcis-31674	133	5	)	)	PUNCT
fcis-31674	133	6	(	(	PUNCT
fcis-31674	133	7	,	,	PUNCT
fcis-31674	133	8	)	)	PUNCT
fcis-31674	133	9	]	]	PUNCT
fcis-31674	133	10	aq	aq	X
fcis-31674	133	11	s	s	VERB
fcis-31674	133	12	a	a	DET
fcis-31674	133	13	q	q	X
fcis-31674	133	14	s	s	VERB
fcis-31674	133	15	a	a	DET
fcis-31674	133	16	r	r	NOUN
fcis-31674	133	17	q	q	NOUN
fcis-31674	133	18	s	s	PROPN
fcis-31674	133	19	a	a	DET
fcis-31674	133	20	q	q	X
fcis-31674	133	21	s	s	NOUN
fcis-31674	133	22	a	a	ADV
fcis-31674	133	23			NUM
fcis-31674	133	24			CCONJ
fcis-31674	133	25			ADJ
fcis-31674	133	26			PROPN
fcis-31674	133	27			ADV
fcis-31674	133	28			ADJ
fcis-31674	133	29			X
fcis-31674	133	30	(	(	PUNCT
fcis-31674	133	31	3	3	NUM
fcis-31674	133	32	)	)	PUNCT
fcis-31674	133	33	where	where	SCONJ
fcis-31674	133	34	(	(	PUNCT
fcis-31674	133	35	,	,	PUNCT
fcis-31674	133	36	)	)	PUNCT
fcis-31674	133	37	q	q	X
fcis-31674	134	1	s	s	VERB
fcis-31674	134	2	a	a	PRON
fcis-31674	134	3	is	be	AUX
fcis-31674	134	4	the	the	DET
fcis-31674	134	5	q	q	NOUN
fcis-31674	134	6	value	value	NOUN
fcis-31674	134	7	for	for	ADP
fcis-31674	134	8	taking	take	VERB
fcis-31674	134	9	action	action	NOUN
fcis-31674	134	10	a	a	PRON
fcis-31674	134	11	in	in	ADP
fcis-31674	134	12	the	the	DET
fcis-31674	134	13	current	current	ADJ
fcis-31674	134	14	state	state	NOUN
fcis-31674	134	15	s	s	PART
fcis-31674	134	16	,	,	PUNCT
fcis-31674	134	17			NUM
fcis-31674	134	18	is	be	AUX
fcis-31674	134	19	the	the	DET
fcis-31674	134	20	learning	learning	NOUN
fcis-31674	134	21	rate	rate	NOUN
fcis-31674	134	22	,	,	PUNCT
fcis-31674	134	23	which	which	PRON
fcis-31674	134	24	controls	control	VERB
fcis-31674	134	25	the	the	DET
fcis-31674	134	26	step	step	NOUN
fcis-31674	134	27	size	size	NOUN
fcis-31674	134	28	for	for	ADP
fcis-31674	134	29	each	each	DET
fcis-31674	134	30	update	update	NOUN
fcis-31674	134	31	,	,	PUNCT
fcis-31674	134	32	r	r	NOUN
fcis-31674	134	33	is	be	AUX
fcis-31674	134	34	the	the	DET
fcis-31674	134	35	reward	reward	NOUN
fcis-31674	134	36	obtained	obtain	VERB
fcis-31674	134	37	after	after	ADP
fcis-31674	134	38	taking	take	VERB
fcis-31674	134	39	action	action	NOUN
fcis-31674	134	40			NOUN
fcis-31674	134	41	,	,	PUNCT
fcis-31674	134	42			PROPN
fcis-31674	134	43	is	be	AUX
fcis-31674	134	44	the	the	DET
fcis-31674	134	45	discount	discount	NOUN
fcis-31674	134	46	factor	factor	NOUN
fcis-31674	134	47	,	,	PUNCT
fcis-31674	134	48	which	which	PRON
fcis-31674	134	49	measures	measure	VERB
fcis-31674	134	50	the	the	DET
fcis-31674	134	51	importance	importance	NOUN
fcis-31674	134	52	of	of	ADP
fcis-31674	134	53	future	future	ADJ
fcis-31674	134	54	rewards	reward	NOUN
fcis-31674	134	55	and	and	CCONJ
fcis-31674	134	56	ranges	range	VERB
fcis-31674	134	57	from	from	ADP
fcis-31674	134	58	0	0	NUM
fcis-31674	134	59	to	to	ADP
fcis-31674	134	60	1	1	NUM
fcis-31674	134	61	.	.	PUNCT
fcis-31674	134	62	's	's	PART
fcis-31674	134	63	is	be	AUX
fcis-31674	134	64	the	the	DET
fcis-31674	134	65	new	new	ADJ
fcis-31674	134	66	state	state	NOUN
fcis-31674	134	67	to	to	PART
fcis-31674	134	68	transition	transition	VERB
fcis-31674	134	69	to	to	ADP
fcis-31674	134	70	after	after	ADP
fcis-31674	134	71	taking	take	VERB
fcis-31674	134	72	action	action	NOUN
fcis-31674	134	73	a	a	PRON
fcis-31674	134	74	,	,	PUNCT
fcis-31674	134	75	and	and	CCONJ
fcis-31674	134	76	max	max	PROPN
fcis-31674	134	77	(	(	PUNCT
fcis-31674	134	78	,	,	PUNCT
fcis-31674	134	79	)	)	PUNCT
fcis-31674	134	80	a	a	DET
fcis-31674	134	81	q	q	X
fcis-31674	134	82	s	s	X
fcis-31674	134	83	a	a	PROPN
fcis-31674	134	84			PROPN
fcis-31674	134	85			ADV
fcis-31674	134	86	represents	represent	VERB
fcis-31674	134	87	the	the	DET
fcis-31674	134	88	maximum	maximum	ADJ
fcis-31674	134	89	q	q	NOUN
fcis-31674	134	90	-	-	PUNCT
fcis-31674	134	91	value	value	NOUN
fcis-31674	134	92	that	that	PRON
fcis-31674	134	93	can	can	AUX
fcis-31674	134	94	be	be	AUX
fcis-31674	134	95	obtained	obtain	VERB
fcis-31674	134	96	in	in	ADP
fcis-31674	134	97	the	the	DET
fcis-31674	134	98	new	new	ADJ
fcis-31674	134	99	state	state	NOUN
fcis-31674	134	100	's	's	PART
fcis-31674	134	101	.	.	PUNCT
fcis-31674	135	1	deep	deep	ADJ
fcis-31674	135	2	q	q	NOUN
fcis-31674	135	3	-	-	PUNCT
fcis-31674	135	4	network	network	NOUN
fcis-31674	135	5	(	(	PUNCT
fcis-31674	135	6	dqn	dqn	PROPN
fcis-31674	135	7	)	)	PUNCT
fcis-31674	135	8	is	be	AUX
fcis-31674	135	9	developed	develop	VERB
fcis-31674	135	10	on	on	ADP
fcis-31674	135	11	the	the	DET
fcis-31674	135	12	basis	basis	NOUN
fcis-31674	135	13	of	of	ADP
fcis-31674	135	14	qlearning	qlearning	NOUN
fcis-31674	135	15	.	.	PUNCT
fcis-31674	136	1	it	it	PRON
fcis-31674	136	2	introduces	introduce	VERB
fcis-31674	136	3	a	a	DET
fcis-31674	136	4	deep	deep	ADJ
fcis-31674	136	5	neural	neural	ADJ
fcis-31674	136	6	network	network	NOUN
fcis-31674	136	7	to	to	PART
fcis-31674	136	8	approximate	approximate	VERB
fcis-31674	136	9	the	the	DET
fcis-31674	136	10	q	q	ADJ
fcis-31674	136	11	-	-	PUNCT
fcis-31674	136	12	value	value	NOUN
fcis-31674	136	13	function	function	NOUN
fcis-31674	136	14	,	,	PUNCT
fcis-31674	136	15	which	which	PRON
fcis-31674	136	16	solves	solve	VERB
fcis-31674	136	17	the	the	DET
fcis-31674	136	18	problem	problem	NOUN
fcis-31674	136	19	that	that	SCONJ
fcis-31674	136	20	the	the	DET
fcis-31674	136	21	qvalue	qvalue	NOUN
fcis-31674	136	22	table	table	NOUN
fcis-31674	136	23	is	be	AUX
fcis-31674	136	24	too	too	ADV
fcis-31674	136	25	large	large	ADJ
fcis-31674	136	26	to	to	PART
fcis-31674	136	27	store	store	VERB
fcis-31674	136	28	and	and	CCONJ
fcis-31674	136	29	calculate	calculate	VERB
fcis-31674	136	30	when	when	SCONJ
fcis-31674	136	31	dealing	deal	VERB
fcis-31674	136	32	with	with	ADP
fcis-31674	136	33	high	high	ADJ
fcis-31674	136	34	-	-	PUNCT
fcis-31674	136	35	dimensional	dimensional	ADJ
fcis-31674	136	36	state	state	NOUN
fcis-31674	136	37	space	space	NOUN
fcis-31674	136	38	in	in	ADP
fcis-31674	136	39	traditional	traditional	ADJ
fcis-31674	136	40	q	q	NOUN
fcis-31674	136	41	-	-	PUNCT
fcis-31674	136	42	learning	learning	NOUN
fcis-31674	136	43	.	.	PUNCT
fcis-31674	137	1	dqn	dqn	PROPN
fcis-31674	137	2	uses	use	VERB
fcis-31674	137	3	a	a	DET
fcis-31674	137	4	neural	neural	ADJ
fcis-31674	137	5	network	network	NOUN
fcis-31674	137	6	instead	instead	ADV
fcis-31674	137	7	of	of	ADP
fcis-31674	137	8	a	a	DET
fcis-31674	137	9	q	q	ADJ
fcis-31674	137	10	-	-	PUNCT
fcis-31674	137	11	value	value	NOUN
fcis-31674	137	12	table	table	NOUN
fcis-31674	137	13	,	,	PUNCT
fcis-31674	137	14	taking	take	VERB
fcis-31674	137	15	the	the	DET
fcis-31674	137	16	state	state	NOUN
fcis-31674	137	17	as	as	ADP
fcis-31674	137	18	input	input	NOUN
fcis-31674	137	19	to	to	ADP
fcis-31674	137	20	the	the	DET
fcis-31674	137	21	neural	neural	ADJ
fcis-31674	137	22	network	network	NOUN
fcis-31674	137	23	and	and	CCONJ
fcis-31674	137	24	outputting	output	VERB
fcis-31674	137	25	the	the	DET
fcis-31674	137	26	qvalue	qvalue	NOUN
fcis-31674	137	27	for	for	ADP
fcis-31674	137	28	each	each	DET
fcis-31674	137	29	action	action	NOUN
fcis-31674	137	30	.	.	PUNCT
fcis-31674	138	1	dqn	dqn	NOUN
fcis-31674	138	2	also	also	ADV
fcis-31674	138	3	introduces	introduce	VERB
fcis-31674	138	4	two	two	NUM
fcis-31674	138	5	important	important	ADJ
fcis-31674	138	6	techniques	technique	NOUN
fcis-31674	138	7	,	,	PUNCT
fcis-31674	138	8	experience	experience	NOUN
fcis-31674	138	9	replay	replay	NOUN
fcis-31674	138	10	and	and	CCONJ
fcis-31674	138	11	target	target	NOUN
fcis-31674	138	12	network	network	NOUN
fcis-31674	138	13	.	.	PUNCT
fcis-31674	139	1	experience	experience	NOUN
fcis-31674	139	2	replay	replay	NOUN
fcis-31674	139	3	is	be	AUX
fcis-31674	139	4	to	to	PART
fcis-31674	139	5	store	store	VERB
fcis-31674	139	6	each	each	DET
fcis-31674	139	7	step	step	NOUN
fcis-31674	139	8	of	of	ADP
fcis-31674	139	9	the	the	DET
fcis-31674	139	10	agent	agent	NOUN
fcis-31674	139	11	's	's	PART
fcis-31674	139	12	interaction	interaction	NOUN
fcis-31674	139	13	in	in	ADP
fcis-31674	139	14	the	the	DET
fcis-31674	139	15	environment	environment	NOUN
fcis-31674	139	16	into	into	ADP
fcis-31674	139	17	the	the	DET
fcis-31674	139	18	experience	experience	NOUN
fcis-31674	139	19	pool	pool	NOUN
fcis-31674	139	20	,	,	PUNCT
fcis-31674	139	21	and	and	CCONJ
fcis-31674	139	22	then	then	ADV
fcis-31674	139	23	randomly	randomly	ADV
fcis-31674	139	24	sample	sample	VERB
fcis-31674	139	25	a	a	DET
fcis-31674	139	26	batch	batch	NOUN
fcis-31674	139	27	of	of	ADP
fcis-31674	139	28	data	datum	NOUN
fcis-31674	139	29	from	from	ADP
fcis-31674	139	30	the	the	DET
fcis-31674	139	31	experience	experience	NOUN
fcis-31674	139	32	pool	pool	NOUN
fcis-31674	139	33	for	for	ADP
fcis-31674	139	34	training	training	NOUN
fcis-31674	139	35	during	during	ADP
fcis-31674	139	36	training	training	NOUN
fcis-31674	139	37	,	,	PUNCT
fcis-31674	139	38	which	which	PRON
fcis-31674	139	39	can	can	AUX
fcis-31674	139	40	break	break	VERB
fcis-31674	139	41	the	the	DET
fcis-31674	139	42	correlation	correlation	NOUN
fcis-31674	139	43	between	between	ADP
fcis-31674	139	44	the	the	DET
fcis-31674	139	45	data	datum	NOUN
fcis-31674	139	46	and	and	CCONJ
fcis-31674	139	47	improve	improve	VERB
fcis-31674	139	48	the	the	DET
fcis-31674	139	49	stability	stability	NOUN
fcis-31674	139	50	of	of	ADP
fcis-31674	139	51	training	training	NOUN
fcis-31674	139	52	.	.	PUNCT
fcis-31674	140	1	the	the	DET
fcis-31674	140	2	target	target	NOUN
fcis-31674	140	3	network	network	NOUN
fcis-31674	140	4	is	be	AUX
fcis-31674	140	5	a	a	DET
fcis-31674	140	6	network	network	NOUN
fcis-31674	140	7	with	with	ADP
fcis-31674	140	8	the	the	DET
fcis-31674	140	9	same	same	ADJ
fcis-31674	140	10	structure	structure	NOUN
fcis-31674	140	11	as	as	ADP
fcis-31674	140	12	the	the	DET
fcis-31674	140	13	main	main	ADJ
fcis-31674	140	14	network	network	NOUN
fcis-31674	140	15	but	but	CCONJ
fcis-31674	140	16	with	with	ADP
fcis-31674	140	17	a	a	DET
fcis-31674	140	18	slower	slow	ADJ
fcis-31674	140	19	parameter	parameter	NOUN
fcis-31674	140	20	update	update	NOUN
fcis-31674	140	21	,	,	PUNCT
fcis-31674	140	22	which	which	PRON
fcis-31674	140	23	is	be	AUX
fcis-31674	140	24	used	use	VERB
fcis-31674	140	25	to	to	PART
fcis-31674	140	26	calculate	calculate	VERB
fcis-31674	140	27	the	the	DET
fcis-31674	140	28	target	target	NOUN
fcis-31674	140	29	q	q	NOUN
fcis-31674	140	30	value	value	NOUN
fcis-31674	140	31	and	and	CCONJ
fcis-31674	140	32	reduce	reduce	VERB
fcis-31674	140	33	the	the	DET
fcis-31674	140	34	oscillations	oscillation	NOUN
fcis-31674	140	35	during	during	ADP
fcis-31674	140	36	training	training	NOUN
fcis-31674	140	37	.	.	PUNCT
fcis-31674	141	1	4	4	X
fcis-31674	141	2	.	.	X
fcis-31674	141	3	typical	typical	ADJ
fcis-31674	141	4	applications	application	NOUN
fcis-31674	141	5	in	in	ADP
fcis-31674	141	6	the	the	DET
fcis-31674	141	7	computer	computer	NOUN
fcis-31674	141	8	field	field	NOUN
fcis-31674	141	9	4.1	4.1	NUM
fcis-31674	141	10	.	.	PUNCT
fcis-31674	142	1	image	image	NOUN
fcis-31674	142	2	recognition	recognition	NOUN
fcis-31674	142	3	and	and	CCONJ
fcis-31674	142	4	computer	computer	NOUN
fcis-31674	142	5	vision	vision	NOUN
fcis-31674	142	6	image	image	NOUN
fcis-31674	142	7	recognition	recognition	NOUN
fcis-31674	142	8	and	and	CCONJ
fcis-31674	142	9	computer	computer	NOUN
fcis-31674	142	10	vision	vision	NOUN
fcis-31674	142	11	are	be	AUX
fcis-31674	142	12	important	important	ADJ
fcis-31674	142	13	application	application	NOUN
fcis-31674	142	14	directions	direction	NOUN
fcis-31674	142	15	of	of	ADP
fcis-31674	142	16	data	data	NOUN
fcis-31674	142	17	-	-	PUNCT
fcis-31674	142	18	driven	drive	VERB
fcis-31674	142	19	intelligent	intelligent	ADJ
fcis-31674	142	20	computing	computing	NOUN
fcis-31674	142	21	in	in	ADP
fcis-31674	142	22	the	the	DET
fcis-31674	142	23	computer	computer	NOUN
fcis-31674	142	24	field	field	NOUN
fcis-31674	142	25	.	.	PUNCT
fcis-31674	143	1	they	they	PRON
fcis-31674	143	2	are	be	AUX
fcis-31674	143	3	committed	commit	VERB
fcis-31674	143	4	to	to	ADP
fcis-31674	143	5	enabling	enable	VERB
fcis-31674	143	6	computers	computer	NOUN
fcis-31674	143	7	to	to	PART
fcis-31674	143	8	understand	understand	VERB
fcis-31674	143	9	and	and	CCONJ
fcis-31674	143	10	parse	parse	VERB
fcis-31674	143	11	image	image	NOUN
fcis-31674	143	12	content	content	NOUN
fcis-31674	143	13	,	,	PUNCT
fcis-31674	143	14	and	and	CCONJ
fcis-31674	143	15	play	play	VERB
fcis-31674	143	16	a	a	DET
fcis-31674	143	17	key	key	ADJ
fcis-31674	143	18	role	role	NOUN
fcis-31674	143	19	in	in	ADP
fcis-31674	143	20	many	many	ADJ
fcis-31674	143	21	fields	field	NOUN
fcis-31674	143	22	.	.	PUNCT
fcis-31674	144	1	in	in	ADP
fcis-31674	144	2	the	the	DET
fcis-31674	144	3	field	field	NOUN
fcis-31674	144	4	of	of	ADP
fcis-31674	144	5	security	security	NOUN
fcis-31674	144	6	monitoring	monitoring	NOUN
fcis-31674	144	7	,	,	PUNCT
fcis-31674	144	8	image	image	NOUN
fcis-31674	144	9	recognition	recognition	NOUN
fcis-31674	144	10	technology	technology	NOUN
fcis-31674	144	11	is	be	AUX
fcis-31674	144	12	widely	widely	ADV
fcis-31674	144	13	used	use	VERB
fcis-31674	144	14	in	in	ADP
fcis-31674	144	15	face	face	NOUN
fcis-31674	144	16	recognition	recognition	NOUN
fcis-31674	144	17	,	,	PUNCT
fcis-31674	144	18	behavior	behavior	NOUN
fcis-31674	144	19	analysis	analysis	NOUN
fcis-31674	144	20	and	and	CCONJ
fcis-31674	144	21	object	object	VERB
fcis-31674	144	22	detection	detection	NOUN
fcis-31674	144	23	.	.	PUNCT
fcis-31674	145	1	face	face	NOUN
fcis-31674	145	2	recognition	recognition	NOUN
fcis-31674	145	3	technology	technology	NOUN
fcis-31674	145	4	realizes	realize	VERB
fcis-31674	145	5	the	the	DET
fcis-31674	145	6	identification	identification	NOUN
fcis-31674	145	7	and	and	CCONJ
fcis-31674	145	8	verification	verification	NOUN
fcis-31674	145	9	of	of	ADP
fcis-31674	145	10	personnel	personnel	NOUN
fcis-31674	145	11	by	by	ADP
fcis-31674	145	12	extracting	extract	VERB
fcis-31674	145	13	and	and	CCONJ
fcis-31674	145	14	comparing	compare	VERB
fcis-31674	145	15	the	the	DET
fcis-31674	145	16	features	feature	NOUN
fcis-31674	145	17	of	of	ADP
fcis-31674	145	18	faces	face	NOUN
fcis-31674	145	19	in	in	ADP
fcis-31674	145	20	surveillance	surveillance	NOUN
fcis-31674	145	21	videos	video	NOUN
fcis-31674	145	22	.	.	PUNCT
fcis-31674	146	1	public	public	ADJ
fcis-31674	146	2	security	security	NOUN
fcis-31674	146	3	organs	organ	NOUN
fcis-31674	146	4	can	can	AUX
fcis-31674	146	5	use	use	VERB
fcis-31674	146	6	face	face	NOUN
fcis-31674	146	7	recognition	recognition	NOUN
fcis-31674	146	8	system	system	NOUN
fcis-31674	146	9	to	to	PART
fcis-31674	146	10	quickly	quickly	ADV
fcis-31674	146	11	identify	identify	VERB
fcis-31674	146	12	criminal	criminal	ADJ
fcis-31674	146	13	suspects	suspect	NOUN
fcis-31674	146	14	and	and	CCONJ
fcis-31674	146	15	improve	improve	VERB
fcis-31674	146	16	the	the	DET
fcis-31674	146	17	efficiency	efficiency	NOUN
fcis-31674	146	18	of	of	ADP
fcis-31674	146	19	solving	solve	VERB
fcis-31674	146	20	cases	case	NOUN
fcis-31674	146	21	.	.	PUNCT
fcis-31674	147	1	behavior	behavior	NOUN
fcis-31674	147	2	analysis	analysis	NOUN
fcis-31674	147	3	analyzes	analyze	VERB
fcis-31674	147	4	the	the	DET
fcis-31674	147	5	behavior	behavior	NOUN
fcis-31674	147	6	of	of	ADP
fcis-31674	147	7	the	the	DET
fcis-31674	147	8	personnel	personnel	NOUN
fcis-31674	147	9	in	in	ADP
fcis-31674	147	10	the	the	DET
fcis-31674	147	11	surveillance	surveillance	NOUN
fcis-31674	147	12	video	video	NOUN
fcis-31674	147	13	,	,	PUNCT
fcis-31674	147	14	such	such	ADJ
fcis-31674	147	15	as	as	ADP
fcis-31674	147	16	detecting	detect	VERB
fcis-31674	147	17	abnormal	abnormal	ADJ
fcis-31674	147	18	behavior	behavior	NOUN
fcis-31674	147	19	,	,	PUNCT
fcis-31674	147	20	crowd	crowd	VERB
fcis-31674	147	21	density	density	NOUN
fcis-31674	147	22	monitoring	monitoring	NOUN
fcis-31674	147	23	,	,	PUNCT
fcis-31674	147	24	etc	etc	X
fcis-31674	147	25	.	.	X
fcis-31674	147	26	,	,	PUNCT
fcis-31674	147	27	to	to	PART
fcis-31674	147	28	find	find	VERB
fcis-31674	147	29	security	security	NOUN
fcis-31674	147	30	risks	risk	NOUN
fcis-31674	147	31	in	in	ADP
fcis-31674	147	32	time	time	NOUN
fcis-31674	147	33	.	.	PUNCT
fcis-31674	148	1	medical	medical	ADJ
fcis-31674	148	2	image	image	NOUN
fcis-31674	148	3	analysis	analysis	NOUN
fcis-31674	148	4	is	be	AUX
fcis-31674	148	5	an	an	DET
fcis-31674	148	6	important	important	ADJ
fcis-31674	148	7	application	application	NOUN
fcis-31674	148	8	of	of	ADP
fcis-31674	148	9	image	image	NOUN
fcis-31674	148	10	recognition	recognition	NOUN
fcis-31674	148	11	and	and	CCONJ
fcis-31674	148	12	computer	computer	NOUN
fcis-31674	148	13	vision	vision	NOUN
fcis-31674	148	14	in	in	ADP
fcis-31674	148	15	the	the	DET
fcis-31674	148	16	medical	medical	ADJ
fcis-31674	148	17	field	field	NOUN
fcis-31674	148	18	.	.	PUNCT
fcis-31674	149	1	through	through	ADP
fcis-31674	149	2	the	the	DET
fcis-31674	149	3	analysis	analysis	NOUN
fcis-31674	149	4	of	of	ADP
fcis-31674	149	5	x	x	NOUN
fcis-31674	149	6	-	-	NOUN
fcis-31674	149	7	ray	ray	NOUN
fcis-31674	149	8	,	,	PUNCT
fcis-31674	149	9	ct	ct	PROPN
fcis-31674	149	10	,	,	PUNCT
fcis-31674	149	11	mri	mri	NOUN
fcis-31674	149	12	and	and	CCONJ
fcis-31674	149	13	other	other	ADJ
fcis-31674	149	14	medical	medical	ADJ
fcis-31674	149	15	images	image	NOUN
fcis-31674	149	16	,	,	PUNCT
fcis-31674	149	17	computers	computer	NOUN
fcis-31674	149	18	can	can	AUX
fcis-31674	149	19	assist	assist	VERB
fcis-31674	149	20	doctors	doctor	NOUN
fcis-31674	149	21	in	in	ADP
fcis-31674	149	22	disease	disease	NOUN
fcis-31674	149	23	diagnosis	diagnosis	NOUN
fcis-31674	149	24	.	.	PUNCT
fcis-31674	150	1	in	in	ADP
fcis-31674	150	2	x	x	ADJ
fcis-31674	150	3	-	-	NOUN
fcis-31674	150	4	ray	ray	ADJ
fcis-31674	150	5	image	image	NOUN
fcis-31674	150	6	analysis	analysis	NOUN
fcis-31674	150	7	,	,	PUNCT
fcis-31674	150	8	image	image	NOUN
fcis-31674	150	9	recognition	recognition	NOUN
fcis-31674	150	10	technology	technology	NOUN
fcis-31674	150	11	can	can	AUX
fcis-31674	150	12	detect	detect	VERB
fcis-31674	150	13	lung	lung	NOUN
fcis-31674	150	14	lesions	lesion	NOUN
fcis-31674	150	15	,	,	PUNCT
fcis-31674	150	16	such	such	ADJ
fcis-31674	150	17	as	as	ADP
fcis-31674	150	18	pneumonia	pneumonia	NOUN
fcis-31674	150	19	,	,	PUNCT
fcis-31674	150	20	tuberculosis	tuberculosis	NOUN
fcis-31674	150	21	,	,	PUNCT
fcis-31674	150	22	lung	lung	NOUN
fcis-31674	150	23	cancer	cancer	NOUN
fcis-31674	150	24	,	,	PUNCT
fcis-31674	150	25	etc	etc	X
fcis-31674	150	26	.	.	X
fcis-31674	150	27	through	through	ADP
fcis-31674	150	28	the	the	DET
fcis-31674	150	29	feature	feature	NOUN
fcis-31674	150	30	extraction	extraction	NOUN
fcis-31674	150	31	and	and	CCONJ
fcis-31674	150	32	analysis	analysis	NOUN
fcis-31674	150	33	of	of	ADP
fcis-31674	150	34	xray	xray	ADJ
fcis-31674	150	35	images	image	NOUN
fcis-31674	150	36	,	,	PUNCT
fcis-31674	150	37	the	the	DET
fcis-31674	150	38	computer	computer	NOUN
fcis-31674	150	39	can	can	AUX
fcis-31674	150	40	identify	identify	VERB
fcis-31674	150	41	abnormal	abnormal	ADJ
fcis-31674	150	42	shadows	shadow	NOUN
fcis-31674	150	43	,	,	PUNCT
fcis-31674	150	44	nodules	nodule	NOUN
fcis-31674	150	45	and	and	CCONJ
fcis-31674	150	46	other	other	ADJ
fcis-31674	150	47	lesions	lesion	NOUN
fcis-31674	150	48	in	in	ADP
fcis-31674	150	49	the	the	DET
fcis-31674	150	50	lung	lung	NOUN
fcis-31674	150	51	,	,	PUNCT
fcis-31674	150	52	and	and	CCONJ
fcis-31674	150	53	provide	provide	VERB
fcis-31674	150	54	diagnostic	diagnostic	ADJ
fcis-31674	150	55	reference	reference	NOUN
fcis-31674	150	56	for	for	ADP
fcis-31674	150	57	doctors	doctor	NOUN
fcis-31674	150	58	.	.	PUNCT
fcis-31674	151	1	ct	ct	NUM
fcis-31674	151	2	image	image	NOUN
fcis-31674	151	3	analysis	analysis	NOUN
fcis-31674	151	4	can	can	AUX
fcis-31674	151	5	observe	observe	VERB
fcis-31674	151	6	the	the	DET
fcis-31674	151	7	internal	internal	ADJ
fcis-31674	151	8	structure	structure	NOUN
fcis-31674	151	9	of	of	ADP
fcis-31674	151	10	the	the	DET
fcis-31674	151	11	human	human	ADJ
fcis-31674	151	12	body	body	NOUN
fcis-31674	151	13	in	in	ADP
fcis-31674	151	14	more	more	ADJ
fcis-31674	151	15	detail	detail	NOUN
fcis-31674	151	16	,	,	PUNCT
fcis-31674	151	17	which	which	PRON
fcis-31674	151	18	is	be	AUX
fcis-31674	151	19	of	of	ADP
fcis-31674	151	20	great	great	ADJ
fcis-31674	151	21	significance	significance	NOUN
fcis-31674	151	22	for	for	ADP
fcis-31674	151	23	the	the	DET
fcis-31674	151	24	diagnosis	diagnosis	NOUN
fcis-31674	151	25	of	of	ADP
fcis-31674	151	26	brain	brain	NOUN
fcis-31674	151	27	diseases	disease	NOUN
fcis-31674	151	28	,	,	PUNCT
fcis-31674	151	29	chest	chest	NOUN
fcis-31674	151	30	diseases	disease	NOUN
fcis-31674	151	31	and	and	CCONJ
fcis-31674	151	32	abdominal	abdominal	ADJ
fcis-31674	151	33	diseases	disease	NOUN
fcis-31674	151	34	.	.	PUNCT
fcis-31674	152	1	mri	mri	NOUN
fcis-31674	152	2	image	image	NOUN
fcis-31674	152	3	analysis	analysis	NOUN
fcis-31674	152	4	plays	play	VERB
fcis-31674	152	5	an	an	DET
fcis-31674	152	6	important	important	ADJ
fcis-31674	152	7	role	role	NOUN
fcis-31674	152	8	in	in	ADP
fcis-31674	152	9	the	the	DET
fcis-31674	152	10	diagnosis	diagnosis	NOUN
fcis-31674	152	11	of	of	ADP
fcis-31674	152	12	nervous	nervous	ADJ
fcis-31674	152	13	system	system	NOUN
fcis-31674	152	14	diseases	disease	NOUN
fcis-31674	152	15	and	and	CCONJ
fcis-31674	152	16	joint	joint	ADJ
fcis-31674	152	17	diseases	disease	NOUN
fcis-31674	152	18	.	.	PUNCT
fcis-31674	153	1	despite	despite	SCONJ
fcis-31674	153	2	the	the	DET
fcis-31674	153	3	remarkable	remarkable	ADJ
fcis-31674	153	4	achievements	achievement	NOUN
fcis-31674	153	5	in	in	ADP
fcis-31674	153	6	practical	practical	ADJ
fcis-31674	153	7	applications	application	NOUN
fcis-31674	153	8	of	of	ADP
fcis-31674	153	9	image	image	NOUN
fcis-31674	153	10	recognition	recognition	NOUN
fcis-31674	153	11	and	and	CCONJ
fcis-31674	153	12	computer	computer	NOUN
fcis-31674	153	13	vision	vision	NOUN
fcis-31674	153	14	,	,	PUNCT
fcis-31674	153	15	there	there	PRON
fcis-31674	153	16	are	be	VERB
fcis-31674	153	17	still	still	ADV
fcis-31674	153	18	many	many	ADJ
fcis-31674	153	19	challenges	challenge	NOUN
fcis-31674	153	20	.	.	PUNCT
fcis-31674	154	1	data	datum	NOUN
fcis-31674	154	2	quality	quality	NOUN
fcis-31674	154	3	has	have	VERB
fcis-31674	154	4	a	a	DET
fcis-31674	154	5	crucial	crucial	ADJ
fcis-31674	154	6	impact	impact	NOUN
fcis-31674	154	7	on	on	ADP
fcis-31674	154	8	model	model	NOUN
fcis-31674	154	9	performance	performance	NOUN
fcis-31674	154	10	,	,	PUNCT
fcis-31674	154	11	and	and	CCONJ
fcis-31674	154	12	high	high	ADJ
fcis-31674	154	13	-	-	PUNCT
fcis-31674	154	14	quality	quality	NOUN
fcis-31674	154	15	labeled	label	VERB
fcis-31674	154	16	data	datum	NOUN
fcis-31674	154	17	is	be	AUX
fcis-31674	154	18	the	the	DET
fcis-31674	154	19	basis	basis	NOUN
fcis-31674	154	20	for	for	ADP
fcis-31674	154	21	training	train	VERB
fcis-31674	154	22	accurate	accurate	ADJ
fcis-31674	154	23	models	model	NOUN
fcis-31674	154	24	.	.	PUNCT
fcis-31674	155	1	however	however	ADV
fcis-31674	155	2	,	,	PUNCT
fcis-31674	155	3	obtaining	obtain	VERB
fcis-31674	155	4	a	a	DET
fcis-31674	155	5	large	large	ADJ
fcis-31674	155	6	amount	amount	NOUN
fcis-31674	155	7	of	of	ADP
fcis-31674	155	8	high	high	ADJ
fcis-31674	155	9	-	-	PUNCT
fcis-31674	155	10	quality	quality	NOUN
fcis-31674	155	11	labeled	label	VERB
fcis-31674	155	12	data	datum	NOUN
fcis-31674	155	13	is	be	AUX
fcis-31674	155	14	often	often	ADV
fcis-31674	155	15	costly	costly	ADJ
fcis-31674	155	16	,	,	PUNCT
fcis-31674	155	17	and	and	CCONJ
fcis-31674	155	18	the	the	DET
fcis-31674	155	19	labeling	labeling	NOUN
fcis-31674	155	20	process	process	NOUN
fcis-31674	155	21	is	be	AUX
fcis-31674	155	22	prone	prone	ADJ
fcis-31674	155	23	to	to	ADP
fcis-31674	155	24	errors	error	NOUN
fcis-31674	155	25	.	.	PUNCT
fcis-31674	156	1	in	in	ADP
fcis-31674	156	2	medical	medical	ADJ
fcis-31674	156	3	image	image	NOUN
fcis-31674	156	4	annotation	annotation	NOUN
fcis-31674	156	5	,	,	PUNCT
fcis-31674	156	6	professional	professional	ADJ
fcis-31674	156	7	doctors	doctor	NOUN
fcis-31674	156	8	are	be	AUX
fcis-31674	156	9	needed	need	VERB
fcis-31674	156	10	for	for	ADP
fcis-31674	156	11	annotation	annotation	NOUN
fcis-31674	156	12	,	,	PUNCT
fcis-31674	156	13	which	which	PRON
fcis-31674	156	14	is	be	AUX
fcis-31674	156	15	not	not	PART
fcis-31674	156	16	only	only	ADV
fcis-31674	156	17	time	time	NOUN
fcis-31674	156	18	-	-	PUNCT
fcis-31674	156	19	consuming	consume	VERB
fcis-31674	156	20	and	and	CCONJ
fcis-31674	156	21	laborious	laborious	ADJ
fcis-31674	156	22	,	,	PUNCT
fcis-31674	156	23	but	but	CCONJ
fcis-31674	156	24	also	also	ADV
fcis-31674	156	25	different	different	ADJ
fcis-31674	156	26	annotations	annotation	NOUN
fcis-31674	156	27	from	from	ADP
fcis-31674	156	28	different	different	ADJ
fcis-31674	156	29	doctors	doctor	NOUN
fcis-31674	156	30	may	may	AUX
fcis-31674	156	31	exist	exist	VERB
fcis-31674	156	32	.	.	PUNCT
fcis-31674	157	1	the	the	DET
fcis-31674	157	2	generalization	generalization	NOUN
fcis-31674	157	3	ability	ability	NOUN
fcis-31674	157	4	of	of	ADP
fcis-31674	157	5	the	the	DET
fcis-31674	157	6	model	model	NOUN
fcis-31674	157	7	is	be	AUX
fcis-31674	157	8	also	also	ADV
fcis-31674	157	9	a	a	DET
fcis-31674	157	10	key	key	ADJ
fcis-31674	157	11	issue	issue	NOUN
fcis-31674	157	12	.	.	PUNCT
fcis-31674	158	1	current	current	ADJ
fcis-31674	158	2	image	image	NOUN
fcis-31674	158	3	recognition	recognition	NOUN
fcis-31674	158	4	models	model	NOUN
fcis-31674	158	5	perform	perform	VERB
fcis-31674	158	6	well	well	ADV
fcis-31674	158	7	on	on	ADP
fcis-31674	158	8	specific	specific	ADJ
fcis-31674	158	9	data	data	NOUN
fcis-31674	158	10	sets	set	NOUN
fcis-31674	158	11	,	,	PUNCT
fcis-31674	158	12	but	but	CCONJ
fcis-31674	158	13	when	when	SCONJ
fcis-31674	158	14	facing	face	VERB
fcis-31674	158	15	images	image	NOUN
fcis-31674	158	16	in	in	ADP
fcis-31674	158	17	different	different	ADJ
fcis-31674	158	18	scenes	scene	NOUN
fcis-31674	158	19	and	and	CCONJ
fcis-31674	158	20	under	under	ADP
fcis-31674	158	21	different	different	ADJ
fcis-31674	158	22	conditions	condition	NOUN
fcis-31674	158	23	,	,	PUNCT
fcis-31674	158	24	their	their	PRON
fcis-31674	158	25	generalization	generalization	NOUN
fcis-31674	158	26	ability	ability	NOUN
fcis-31674	158	27	is	be	AUX
fcis-31674	158	28	insufficient	insufficient	ADJ
fcis-31674	158	29	and	and	CCONJ
fcis-31674	158	30	they	they	PRON
fcis-31674	158	31	are	be	AUX
fcis-31674	158	32	prone	prone	ADJ
fcis-31674	158	33	to	to	ADP
fcis-31674	158	34	misjudgment	misjudgment	NOUN
fcis-31674	158	35	.	.	PUNCT
fcis-31674	159	1	in	in	ADP
fcis-31674	159	2	the	the	DET
fcis-31674	159	3	future	future	NOUN
fcis-31674	159	4	,	,	PUNCT
fcis-31674	159	5	image	image	NOUN
fcis-31674	159	6	recognition	recognition	NOUN
fcis-31674	159	7	and	and	CCONJ
fcis-31674	159	8	computer	computer	NOUN
fcis-31674	159	9	vision	vision	NOUN
fcis-31674	159	10	technology	technology	NOUN
fcis-31674	159	11	will	will	AUX
fcis-31674	159	12	develop	develop	VERB
fcis-31674	159	13	in	in	ADP
fcis-31674	159	14	the	the	DET
fcis-31674	159	15	direction	direction	NOUN
fcis-31674	159	16	of	of	ADP
fcis-31674	159	17	higher	high	ADJ
fcis-31674	159	18	accuracy	accuracy	NOUN
fcis-31674	159	19	,	,	PUNCT
fcis-31674	159	20	stronger	strong	ADJ
fcis-31674	159	21	generalization	generalization	NOUN
fcis-31674	159	22	ability	ability	NOUN
fcis-31674	159	23	and	and	CCONJ
fcis-31674	159	24	better	well	ADJ
fcis-31674	159	25	real	real	ADJ
fcis-31674	159	26	-	-	PUNCT
fcis-31674	159	27	time	time	NOUN
fcis-31674	159	28	performance	performance	NOUN
fcis-31674	159	29	.	.	PUNCT
fcis-31674	160	1	with	with	ADP
fcis-31674	160	2	the	the	DET
fcis-31674	160	3	continuous	continuous	ADJ
fcis-31674	160	4	development	development	NOUN
fcis-31674	160	5	of	of	ADP
fcis-31674	160	6	deep	deep	ADJ
fcis-31674	160	7	learning	learning	NOUN
fcis-31674	160	8	technology	technology	NOUN
fcis-31674	160	9	,	,	PUNCT
fcis-31674	160	10	new	new	ADJ
fcis-31674	160	11	network	network	NOUN
fcis-31674	160	12	architectures	architecture	NOUN
fcis-31674	160	13	and	and	CCONJ
fcis-31674	160	14	algorithms	algorithm	NOUN
fcis-31674	160	15	will	will	AUX
fcis-31674	160	16	constantly	constantly	ADV
fcis-31674	160	17	emerge	emerge	VERB
fcis-31674	160	18	,	,	PUNCT
fcis-31674	160	19	which	which	PRON
fcis-31674	160	20	are	be	AUX
fcis-31674	160	21	expected	expect	VERB
fcis-31674	160	22	to	to	PART
fcis-31674	160	23	further	far	ADV
fcis-31674	160	24	improve	improve	VERB
fcis-31674	160	25	the	the	DET
fcis-31674	160	26	accuracy	accuracy	NOUN
fcis-31674	160	27	and	and	CCONJ
fcis-31674	160	28	performance	performance	NOUN
fcis-31674	160	29	of	of	ADP
fcis-31674	160	30	image	image	NOUN
fcis-31674	160	31	recognition	recognition	NOUN
fcis-31674	160	32	.	.	PUNCT
fcis-31674	161	1	4.2	4.2	NUM
fcis-31674	161	2	.	.	PUNCT
fcis-31674	161	3	natural	natural	ADJ
fcis-31674	161	4	language	language	NOUN
fcis-31674	161	5	processing	processing	NOUN
fcis-31674	161	6	natural	natural	ADJ
fcis-31674	161	7	language	language	NOUN
fcis-31674	161	8	processing	processing	NOUN
fcis-31674	161	9	is	be	AUX
fcis-31674	161	10	another	another	DET
fcis-31674	161	11	important	important	ADJ
fcis-31674	161	12	application	application	NOUN
fcis-31674	161	13	field	field	NOUN
fcis-31674	161	14	of	of	ADP
fcis-31674	161	15	data	data	NOUN
fcis-31674	161	16	-	-	PUNCT
fcis-31674	161	17	driven	drive	VERB
fcis-31674	161	18	intelligent	intelligent	ADJ
fcis-31674	161	19	computing	computing	NOUN
fcis-31674	161	20	in	in	ADP
fcis-31674	161	21	the	the	DET
fcis-31674	161	22	computer	computer	NOUN
fcis-31674	161	23	field	field	NOUN
fcis-31674	161	24	.	.	PUNCT
fcis-31674	162	1	it	it	PRON
fcis-31674	162	2	is	be	AUX
fcis-31674	162	3	dedicated	dedicate	VERB
fcis-31674	162	4	to	to	ADP
fcis-31674	162	5	making	make	VERB
fcis-31674	162	6	computers	computer	NOUN
fcis-31674	162	7	understand	understand	VERB
fcis-31674	162	8	and	and	CCONJ
fcis-31674	162	9	generate	generate	VERB
fcis-31674	162	10	human	human	ADJ
fcis-31674	162	11	language	language	NOUN
fcis-31674	162	12	and	and	CCONJ
fcis-31674	162	13	realize	realize	VERB
fcis-31674	162	14	natural	natural	ADJ
fcis-31674	162	15	interaction	interaction	NOUN
fcis-31674	162	16	between	between	ADP
fcis-31674	162	17	human	human	NOUN
fcis-31674	162	18	and	and	CCONJ
fcis-31674	162	19	computer	computer	NOUN
fcis-31674	162	20	.	.	PUNCT
fcis-31674	163	1	with	with	ADP
fcis-31674	163	2	the	the	DET
fcis-31674	163	3	increasing	increase	VERB
fcis-31674	163	4	amount	amount	NOUN
fcis-31674	163	5	of	of	ADP
fcis-31674	163	6	data	datum	NOUN
fcis-31674	163	7	and	and	CCONJ
fcis-31674	163	8	the	the	DET
fcis-31674	163	9	continuous	continuous	ADJ
fcis-31674	163	10	progress	progress	NOUN
fcis-31674	163	11	of	of	ADP
fcis-31674	163	12	intelligent	intelligent	ADJ
fcis-31674	163	13	computing	computing	NOUN
fcis-31674	163	14	technology	technology	NOUN
fcis-31674	163	15	,	,	PUNCT
fcis-31674	163	16	natural	natural	ADJ
fcis-31674	163	17	language	language	NOUN
fcis-31674	163	18	processing	processing	NOUN
fcis-31674	163	19	has	have	AUX
fcis-31674	163	20	made	make	VERB
fcis-31674	163	21	significant	significant	ADJ
fcis-31674	163	22	progress	progress	NOUN
fcis-31674	163	23	in	in	ADP
fcis-31674	163	24	intelligent	intelligent	ADJ
fcis-31674	163	25	customer	customer	NOUN
fcis-31674	163	26	service	service	NOUN
fcis-31674	163	27	,	,	PUNCT
fcis-31674	163	28	machine	machine	NOUN
fcis-31674	163	29	translation	translation	NOUN
fcis-31674	163	30	,	,	PUNCT
fcis-31674	163	31	text	text	NOUN
fcis-31674	163	32	generation	generation	NOUN
fcis-31674	163	33	and	and	CCONJ
fcis-31674	163	34	so	so	ADV
fcis-31674	163	35	on	on	ADV
fcis-31674	163	36	.	.	PUNCT
fcis-31674	164	1	machine	machine	NOUN
fcis-31674	164	2	translation	translation	NOUN
fcis-31674	164	3	is	be	AUX
fcis-31674	164	4	an	an	DET
fcis-31674	164	5	important	important	ADJ
fcis-31674	164	6	application	application	NOUN
fcis-31674	164	7	direction	direction	NOUN
fcis-31674	164	8	of	of	ADP
fcis-31674	164	9	natural	natural	ADJ
fcis-31674	164	10	language	language	NOUN
fcis-31674	164	11	processing	processing	NOUN
fcis-31674	164	12	,	,	PUNCT
fcis-31674	164	13	which	which	PRON
fcis-31674	164	14	aims	aim	VERB
fcis-31674	164	15	to	to	PART
fcis-31674	164	16	realize	realize	VERB
fcis-31674	164	17	automatic	automatic	ADJ
fcis-31674	164	18	translation	translation	NOUN
fcis-31674	164	19	between	between	ADP
fcis-31674	164	20	different	different	ADJ
fcis-31674	164	21	languages	language	NOUN
fcis-31674	164	22	.	.	PUNCT
fcis-31674	165	1	in	in	ADP
fcis-31674	165	2	recent	recent	ADJ
fcis-31674	165	3	years	year	NOUN
fcis-31674	165	4	,	,	PUNCT
fcis-31674	165	5	neural	neural	ADJ
fcis-31674	165	6	network	network	NOUN
fcis-31674	165	7	based	base	VERB
fcis-31674	165	8	machine	machine	NOUN
fcis-31674	165	9	translation	translation	NOUN
fcis-31674	165	10	technology	technology	NOUN
fcis-31674	165	11	has	have	AUX
fcis-31674	165	12	made	make	VERB
fcis-31674	165	13	a	a	DET
fcis-31674	165	14	great	great	ADJ
fcis-31674	165	15	breakthrough	breakthrough	NOUN
fcis-31674	165	16	,	,	PUNCT
fcis-31674	165	17	significantly	significantly	ADV
fcis-31674	165	18	improving	improve	VERB
fcis-31674	165	19	the	the	DET
fcis-31674	165	20	quality	quality	NOUN
fcis-31674	165	21	and	and	CCONJ
fcis-31674	165	22	efficiency	efficiency	NOUN
fcis-31674	165	23	of	of	ADP
fcis-31674	165	24	translation	translation	NOUN
fcis-31674	165	25	.	.	PUNCT
fcis-31674	166	1	in	in	ADP
fcis-31674	166	2	international	international	ADJ
fcis-31674	166	3	business	business	NOUN
fcis-31674	166	4	communication	communication	NOUN
fcis-31674	166	5	,	,	PUNCT
fcis-31674	166	6	when	when	SCONJ
fcis-31674	166	7	enterprises	enterprise	NOUN
fcis-31674	166	8	communicate	communicate	VERB
fcis-31674	166	9	with	with	ADP
fcis-31674	166	10	foreign	foreign	ADJ
fcis-31674	166	11	customers	customer	NOUN
fcis-31674	166	12	by	by	ADP
fcis-31674	166	13	email	email	NOUN
fcis-31674	166	14	,	,	PUNCT
fcis-31674	166	15	machine	machine	NOUN
fcis-31674	166	16	translation	translation	NOUN
fcis-31674	166	17	can	can	AUX
fcis-31674	166	18	help	help	VERB
fcis-31674	166	19	both	both	DET
fcis-31674	166	20	sides	side	NOUN
fcis-31674	166	21	quickly	quickly	ADV
fcis-31674	166	22	understand	understand	VERB
fcis-31674	166	23	each	each	DET
fcis-31674	166	24	other	other	ADJ
fcis-31674	166	25	's	's	PART
fcis-31674	166	26	language	language	NOUN
fcis-31674	166	27	content	content	NOUN
fcis-31674	166	28	and	and	CCONJ
fcis-31674	166	29	promote	promote	VERB
fcis-31674	166	30	the	the	DET
fcis-31674	166	31	smooth	smooth	ADJ
fcis-31674	166	32	progress	progress	NOUN
fcis-31674	166	33	of	of	ADP
fcis-31674	166	34	business	business	NOUN
fcis-31674	166	35	cooperation	cooperation	NOUN
fcis-31674	166	36	.	.	PUNCT
fcis-31674	167	1	despite	despite	SCONJ
fcis-31674	167	2	the	the	DET
fcis-31674	167	3	great	great	ADJ
fcis-31674	167	4	progress	progress	NOUN
fcis-31674	167	5	made	make	VERB
fcis-31674	167	6	in	in	ADP
fcis-31674	167	7	machine	machine	NOUN
fcis-31674	167	8	translation	translation	NOUN
fcis-31674	167	9	,	,	PUNCT
fcis-31674	167	10	there	there	PRON
fcis-31674	167	11	is	be	VERB
fcis-31674	167	12	still	still	ADV
fcis-31674	167	13	a	a	DET
fcis-31674	167	14	problem	problem	NOUN
fcis-31674	167	15	of	of	ADP
fcis-31674	167	16	insufficient	insufficient	ADJ
fcis-31674	167	17	accuracy	accuracy	NOUN
fcis-31674	167	18	when	when	SCONJ
fcis-31674	167	19	dealing	deal	VERB
fcis-31674	167	20	with	with	ADP
fcis-31674	167	21	texts	text	NOUN
fcis-31674	167	22	in	in	ADP
fcis-31674	167	23	some	some	DET
fcis-31674	167	24	specialized	specialized	ADJ
fcis-31674	167	25	fields	field	NOUN
fcis-31674	167	26	[	[	X
fcis-31674	167	27	15	15	NUM
fcis-31674	167	28	]	]	PUNCT
fcis-31674	167	29	.	.	PUNCT
fcis-31674	168	1	terms	term	NOUN
fcis-31674	168	2	and	and	CCONJ
fcis-31674	168	3	language	language	NOUN
fcis-31674	168	4	expressions	expression	NOUN
fcis-31674	168	5	in	in	ADP
fcis-31674	168	6	professional	professional	ADJ
fcis-31674	168	7	fields	field	NOUN
fcis-31674	168	8	have	have	VERB
fcis-31674	168	9	strong	strong	ADJ
fcis-31674	168	10	professionalism	professionalism	NOUN
fcis-31674	168	11	and	and	CCONJ
fcis-31674	168	12	uniqueness	uniqueness	NOUN
fcis-31674	168	13	,	,	PUNCT
fcis-31674	168	14	and	and	CCONJ
fcis-31674	168	15	machine	machine	NOUN
fcis-31674	168	16	translation	translation	NOUN
fcis-31674	168	17	may	may	AUX
fcis-31674	168	18	not	not	PART
fcis-31674	168	19	be	be	AUX
fcis-31674	168	20	able	able	ADJ
fcis-31674	168	21	to	to	PART
fcis-31674	168	22	accurately	accurately	ADV
fcis-31674	168	23	understand	understand	VERB
fcis-31674	168	24	and	and	CCONJ
fcis-31674	168	25	translate	translate	VERB
fcis-31674	168	26	these	these	DET
fcis-31674	168	27	contents	content	NOUN
fcis-31674	168	28	.	.	PUNCT
fcis-31674	169	1	by	by	ADP
fcis-31674	169	2	analyzing	analyze	VERB
fcis-31674	169	3	and	and	CCONJ
fcis-31674	169	4	understanding	understand	VERB
fcis-31674	169	5	the	the	DET
fcis-31674	169	6	text	text	NOUN
fcis-31674	169	7	input	input	NOUN
fcis-31674	169	8	by	by	ADP
fcis-31674	169	9	the	the	DET
fcis-31674	169	10	user	user	NOUN
fcis-31674	169	11	,	,	PUNCT
fcis-31674	169	12	intelligent	intelligent	ADJ
fcis-31674	169	13	customer	customer	NOUN
fcis-31674	169	14	service	service	NOUN
fcis-31674	169	15	can	can	AUX
fcis-31674	169	16	automatically	automatically	ADV
fcis-31674	169	17	identify	identify	VERB
fcis-31674	169	18	the	the	DET
fcis-31674	169	19	user	user	NOUN
fcis-31674	169	20	's	's	PART
fcis-31674	169	21	questions	question	NOUN
fcis-31674	169	22	and	and	CCONJ
fcis-31674	169	23	intentions	intention	NOUN
fcis-31674	169	24	,	,	PUNCT
fcis-31674	169	25	and	and	CCONJ
fcis-31674	169	26	provide	provide	VERB
fcis-31674	169	27	accurate	accurate	ADJ
fcis-31674	169	28	answers	answer	NOUN
fcis-31674	169	29	and	and	CCONJ
fcis-31674	169	30	solutions	solution	NOUN
fcis-31674	169	31	.	.	PUNCT
fcis-31674	170	1	the	the	DET
fcis-31674	170	2	intelligent	intelligent	ADJ
fcis-31674	170	3	customer	customer	NOUN
fcis-31674	170	4	service	service	NOUN
fcis-31674	170	5	system	system	NOUN
fcis-31674	170	6	of	of	ADP
fcis-31674	170	7	some	some	DET
fcis-31674	170	8	e	e	NOUN
fcis-31674	170	9	-	-	NOUN
fcis-31674	170	10	commerce	commerce	NOUN
fcis-31674	170	11	platforms	platform	NOUN
fcis-31674	170	12	can	can	AUX
fcis-31674	170	13	quickly	quickly	ADV
fcis-31674	170	14	respond	respond	VERB
fcis-31674	170	15	to	to	ADP
fcis-31674	170	16	users	user	NOUN
fcis-31674	170	17	'	'	PART
fcis-31674	170	18	inquiries	inquiry	NOUN
fcis-31674	170	19	and	and	CCONJ
fcis-31674	170	20	answer	answer	VERB
fcis-31674	170	21	questions	question	NOUN
fcis-31674	170	22	about	about	ADP
fcis-31674	170	23	product	product	NOUN
fcis-31674	170	24	information	information	NOUN
fcis-31674	170	25	,	,	PUNCT
fcis-31674	170	26	order	order	NOUN
fcis-31674	170	27	status	status	NOUN
fcis-31674	170	28	,	,	PUNCT
fcis-31674	170	29	and	and	CCONJ
fcis-31674	170	30	after	after	ADP
fcis-31674	170	31	-	-	PUNCT
fcis-31674	170	32	sales	sale	NOUN
fcis-31674	170	33	service	service	NOUN
fcis-31674	170	34	by	by	ADP
fcis-31674	170	35	using	use	VERB
fcis-31674	170	36	natural	natural	ADJ
fcis-31674	170	37	language	language	NOUN
fcis-31674	170	38	processing	processing	NOUN
fcis-31674	170	39	technology	technology	NOUN
fcis-31674	170	40	.	.	PUNCT
fcis-31674	171	1	when	when	SCONJ
fcis-31674	171	2	a	a	DET
fcis-31674	171	3	user	user	NOUN
fcis-31674	171	4	asks	ask	VERB
fcis-31674	171	5	,	,	PUNCT
fcis-31674	171	6	"	"	PUNCT
fcis-31674	171	7	when	when	SCONJ
fcis-31674	171	8	will	will	AUX
fcis-31674	171	9	my	my	PRON
fcis-31674	171	10	purchase	purchase	NOUN
fcis-31674	171	11	ship	ship	NOUN
fcis-31674	171	12	?	?	PUNCT
fcis-31674	172	1	the	the	DET
fcis-31674	172	2	intelligent	intelligent	ADJ
fcis-31674	172	3	customer	customer	NOUN
fcis-31674	172	4	service	service	NOUN
fcis-31674	172	5	system	system	NOUN
fcis-31674	172	6	can	can	AUX
fcis-31674	172	7	110	110	NUM
fcis-31674	172	8	query	query	VERB
fcis-31674	172	9	the	the	DET
fcis-31674	172	10	order	order	NOUN
fcis-31674	172	11	system	system	NOUN
fcis-31674	172	12	through	through	ADP
fcis-31674	172	13	the	the	DET
fcis-31674	172	14	understanding	understanding	NOUN
fcis-31674	172	15	of	of	ADP
fcis-31674	172	16	the	the	DET
fcis-31674	172	17	problem	problem	NOUN
fcis-31674	172	18	,	,	PUNCT
fcis-31674	172	19	and	and	CCONJ
fcis-31674	172	20	reply	reply	VERB
fcis-31674	172	21	to	to	ADP
fcis-31674	172	22	the	the	DET
fcis-31674	172	23	user	user	NOUN
fcis-31674	172	24	's	's	PART
fcis-31674	172	25	estimated	estimate	VERB
fcis-31674	172	26	delivery	delivery	NOUN
fcis-31674	172	27	time	time	NOUN
fcis-31674	172	28	in	in	ADP
fcis-31674	172	29	time	time	NOUN
fcis-31674	172	30	.	.	PUNCT
fcis-31674	173	1	however	however	ADV
fcis-31674	173	2	,	,	PUNCT
fcis-31674	173	3	intelligent	intelligent	ADJ
fcis-31674	173	4	customer	customer	NOUN
fcis-31674	173	5	service	service	NOUN
fcis-31674	173	6	still	still	ADV
fcis-31674	173	7	has	have	VERB
fcis-31674	173	8	some	some	DET
fcis-31674	173	9	limitations	limitation	NOUN
fcis-31674	173	10	in	in	ADP
fcis-31674	173	11	dealing	deal	VERB
fcis-31674	173	12	with	with	ADP
fcis-31674	173	13	complex	complex	ADJ
fcis-31674	173	14	semantics	semantic	NOUN
fcis-31674	173	15	and	and	CCONJ
fcis-31674	173	16	context	context	NOUN
fcis-31674	173	17	understanding	understanding	NOUN
fcis-31674	173	18	.	.	PUNCT
fcis-31674	174	1	when	when	SCONJ
fcis-31674	174	2	the	the	DET
fcis-31674	174	3	user	user	NOUN
fcis-31674	174	4	's	's	PART
fcis-31674	174	5	question	question	NOUN
fcis-31674	174	6	is	be	AUX
fcis-31674	174	7	vague	vague	ADJ
fcis-31674	174	8	or	or	CCONJ
fcis-31674	174	9	ambiguous	ambiguous	ADJ
fcis-31674	174	10	,	,	PUNCT
fcis-31674	174	11	intelligent	intelligent	ADJ
fcis-31674	174	12	customer	customer	NOUN
fcis-31674	174	13	service	service	NOUN
fcis-31674	174	14	may	may	AUX
fcis-31674	174	15	not	not	PART
fcis-31674	174	16	accurately	accurately	ADV
fcis-31674	174	17	understand	understand	VERB
fcis-31674	174	18	the	the	DET
fcis-31674	174	19	user	user	NOUN
fcis-31674	174	20	's	's	PART
fcis-31674	174	21	intention	intention	NOUN
fcis-31674	174	22	,	,	PUNCT
fcis-31674	174	23	resulting	result	VERB
fcis-31674	174	24	in	in	ADP
fcis-31674	174	25	inaccurate	inaccurate	ADJ
fcis-31674	174	26	answers	answer	NOUN
fcis-31674	174	27	or	or	CCONJ
fcis-31674	174	28	unable	unable	ADJ
fcis-31674	174	29	to	to	PART
fcis-31674	174	30	provide	provide	VERB
fcis-31674	174	31	effective	effective	ADJ
fcis-31674	174	32	solutions	solution	NOUN
fcis-31674	174	33	.	.	PUNCT
fcis-31674	175	1	for	for	ADP
fcis-31674	175	2	some	some	DET
fcis-31674	175	3	problems	problem	NOUN
fcis-31674	175	4	involving	involve	VERB
fcis-31674	175	5	emotion	emotion	NOUN
fcis-31674	175	6	and	and	CCONJ
fcis-31674	175	7	subjective	subjective	ADJ
fcis-31674	175	8	judgment	judgment	NOUN
fcis-31674	175	9	,	,	PUNCT
fcis-31674	175	10	the	the	DET
fcis-31674	175	11	processing	processing	NOUN
fcis-31674	175	12	ability	ability	NOUN
fcis-31674	175	13	of	of	ADP
fcis-31674	175	14	intelligent	intelligent	ADJ
fcis-31674	175	15	customer	customer	NOUN
fcis-31674	175	16	service	service	NOUN
fcis-31674	175	17	also	also	ADV
fcis-31674	175	18	needs	need	VERB
fcis-31674	175	19	to	to	PART
fcis-31674	175	20	be	be	AUX
fcis-31674	175	21	improved	improve	VERB
fcis-31674	175	22	.	.	PUNCT
fcis-31674	176	1	in	in	ADP
fcis-31674	176	2	order	order	NOUN
fcis-31674	176	3	to	to	PART
fcis-31674	176	4	break	break	VERB
fcis-31674	176	5	through	through	ADP
fcis-31674	176	6	these	these	DET
fcis-31674	176	7	bottlenecks	bottleneck	NOUN
fcis-31674	176	8	,	,	PUNCT
fcis-31674	176	9	researchers	researcher	NOUN
fcis-31674	176	10	are	be	AUX
fcis-31674	176	11	exploring	explore	VERB
fcis-31674	176	12	more	more	ADV
fcis-31674	176	13	advanced	advanced	ADJ
fcis-31674	176	14	semantic	semantic	ADJ
fcis-31674	176	15	understanding	understanding	NOUN
fcis-31674	176	16	technologies	technology	NOUN
fcis-31674	176	17	,	,	PUNCT
fcis-31674	176	18	such	such	ADJ
fcis-31674	176	19	as	as	ADP
fcis-31674	176	20	the	the	DET
fcis-31674	176	21	semantic	semantic	ADJ
fcis-31674	176	22	representation	representation	NOUN
fcis-31674	176	23	model	model	NOUN
fcis-31674	176	24	based	base	VERB
fcis-31674	176	25	on	on	ADP
fcis-31674	176	26	deep	deep	ADJ
fcis-31674	176	27	learning	learning	NOUN
fcis-31674	176	28	,	,	PUNCT
fcis-31674	176	29	combined	combine	VERB
fcis-31674	176	30	with	with	ADP
fcis-31674	176	31	knowledge	knowledge	NOUN
fcis-31674	176	32	graph	graph	NOUN
fcis-31674	176	33	and	and	CCONJ
fcis-31674	176	34	other	other	ADJ
fcis-31674	176	35	technologies	technology	NOUN
fcis-31674	176	36	,	,	PUNCT
fcis-31674	176	37	to	to	PART
fcis-31674	176	38	enhance	enhance	VERB
fcis-31674	176	39	the	the	DET
fcis-31674	176	40	ability	ability	NOUN
fcis-31674	176	41	of	of	ADP
fcis-31674	176	42	intelligent	intelligent	ADJ
fcis-31674	176	43	customer	customer	NOUN
fcis-31674	176	44	service	service	NOUN
fcis-31674	176	45	to	to	PART
fcis-31674	176	46	understand	understand	VERB
fcis-31674	176	47	the	the	DET
fcis-31674	176	48	context	context	NOUN
fcis-31674	176	49	and	and	CCONJ
fcis-31674	176	50	semantics	semantic	NOUN
fcis-31674	176	51	,	,	PUNCT
fcis-31674	176	52	and	and	CCONJ
fcis-31674	176	53	improve	improve	VERB
fcis-31674	176	54	the	the	DET
fcis-31674	176	55	accuracy	accuracy	NOUN
fcis-31674	176	56	and	and	CCONJ
fcis-31674	176	57	intelligence	intelligence	NOUN
fcis-31674	176	58	of	of	ADP
fcis-31674	176	59	the	the	DET
fcis-31674	176	60	answer	answer	NOUN
fcis-31674	176	61	.	.	PUNCT
fcis-31674	177	1	4.3	4.3	NUM
fcis-31674	177	2	.	.	PUNCT
fcis-31674	177	3	intelligent	intelligent	ADJ
fcis-31674	177	4	recommender	recommender	NOUN
fcis-31674	177	5	systems	system	NOUN
fcis-31674	177	6	as	as	ADP
fcis-31674	177	7	a	a	DET
fcis-31674	177	8	typical	typical	ADJ
fcis-31674	177	9	application	application	NOUN
fcis-31674	177	10	of	of	ADP
fcis-31674	177	11	data	data	NOUN
fcis-31674	177	12	-	-	PUNCT
fcis-31674	177	13	driven	drive	VERB
fcis-31674	177	14	intelligent	intelligent	ADJ
fcis-31674	177	15	computing	computing	NOUN
fcis-31674	177	16	,	,	PUNCT
fcis-31674	177	17	intelligent	intelligent	ADJ
fcis-31674	177	18	recommendation	recommendation	NOUN
fcis-31674	177	19	system	system	NOUN
fcis-31674	177	20	plays	play	VERB
fcis-31674	177	21	an	an	DET
fcis-31674	177	22	important	important	ADJ
fcis-31674	177	23	role	role	NOUN
fcis-31674	177	24	in	in	ADP
fcis-31674	177	25	e	e	NOUN
fcis-31674	177	26	-	-	NOUN
fcis-31674	177	27	commerce	commerce	NOUN
fcis-31674	177	28	,	,	PUNCT
fcis-31674	177	29	music	music	NOUN
fcis-31674	177	30	,	,	PUNCT
fcis-31674	177	31	news	news	NOUN
fcis-31674	177	32	and	and	CCONJ
fcis-31674	177	33	other	other	ADJ
fcis-31674	177	34	fields	field	NOUN
fcis-31674	177	35	.	.	PUNCT
fcis-31674	178	1	through	through	ADP
fcis-31674	178	2	in	in	ADP
fcis-31674	178	3	-	-	PUNCT
fcis-31674	178	4	depth	depth	NOUN
fcis-31674	178	5	analysis	analysis	NOUN
fcis-31674	178	6	of	of	ADP
fcis-31674	178	7	user	user	NOUN
fcis-31674	178	8	data	datum	NOUN
fcis-31674	178	9	,	,	PUNCT
fcis-31674	178	10	it	it	PRON
fcis-31674	178	11	provides	provide	VERB
fcis-31674	178	12	users	user	NOUN
fcis-31674	178	13	with	with	ADP
fcis-31674	178	14	personalized	personalized	ADJ
fcis-31674	178	15	recommendation	recommendation	NOUN
fcis-31674	178	16	services	service	NOUN
fcis-31674	178	17	to	to	PART
fcis-31674	178	18	improve	improve	VERB
fcis-31674	178	19	user	user	NOUN
fcis-31674	178	20	experience	experience	NOUN
fcis-31674	178	21	and	and	CCONJ
fcis-31674	178	22	business	business	NOUN
fcis-31674	178	23	efficiency	efficiency	NOUN
fcis-31674	178	24	.	.	PUNCT
fcis-31674	179	1	in	in	ADP
fcis-31674	179	2	the	the	DET
fcis-31674	179	3	field	field	NOUN
fcis-31674	179	4	of	of	ADP
fcis-31674	179	5	e	e	NOUN
fcis-31674	179	6	-	-	NOUN
fcis-31674	179	7	commerce	commerce	NOUN
fcis-31674	179	8	,	,	PUNCT
fcis-31674	179	9	intelligent	intelligent	ADJ
fcis-31674	179	10	recommendation	recommendation	NOUN
fcis-31674	179	11	systems	system	NOUN
fcis-31674	179	12	are	be	AUX
fcis-31674	179	13	widely	widely	ADV
fcis-31674	179	14	used	use	VERB
fcis-31674	179	15	.	.	PUNCT
fcis-31674	180	1	by	by	ADP
fcis-31674	180	2	collecting	collect	VERB
fcis-31674	180	3	users	user	NOUN
fcis-31674	180	4	'	'	PART
fcis-31674	180	5	browsing	browse	VERB
fcis-31674	180	6	history	history	NOUN
fcis-31674	180	7	,	,	PUNCT
fcis-31674	180	8	purchase	purchase	NOUN
fcis-31674	180	9	records	record	NOUN
fcis-31674	180	10	,	,	PUNCT
fcis-31674	180	11	search	search	NOUN
fcis-31674	180	12	keywords	keyword	NOUN
fcis-31674	180	13	and	and	CCONJ
fcis-31674	180	14	other	other	ADJ
fcis-31674	180	15	multidimensional	multidimensional	ADJ
fcis-31674	180	16	data	datum	NOUN
fcis-31674	180	17	,	,	PUNCT
fcis-31674	180	18	collaborative	collaborative	ADJ
fcis-31674	180	19	filtering	filtering	NOUN
fcis-31674	180	20	,	,	PUNCT
fcis-31674	180	21	content	content	NOUN
fcis-31674	180	22	-	-	PUNCT
fcis-31674	180	23	based	base	VERB
fcis-31674	180	24	recommendation	recommendation	NOUN
fcis-31674	180	25	and	and	CCONJ
fcis-31674	180	26	other	other	ADJ
fcis-31674	180	27	algorithms	algorithm	NOUN
fcis-31674	180	28	are	be	AUX
fcis-31674	180	29	used	use	VERB
fcis-31674	180	30	to	to	PART
fcis-31674	180	31	accurately	accurately	ADV
fcis-31674	180	32	recommend	recommend	VERB
fcis-31674	180	33	products	product	NOUN
fcis-31674	180	34	for	for	ADP
fcis-31674	180	35	users	user	NOUN
fcis-31674	180	36	.	.	PUNCT
fcis-31674	181	1	when	when	SCONJ
fcis-31674	181	2	a	a	DET
fcis-31674	181	3	user	user	NOUN
fcis-31674	181	4	browses	browse	VERB
fcis-31674	181	5	a	a	DET
fcis-31674	181	6	laptop	laptop	NOUN
fcis-31674	181	7	,	,	PUNCT
fcis-31674	181	8	the	the	DET
fcis-31674	181	9	system	system	NOUN
fcis-31674	181	10	will	will	AUX
fcis-31674	181	11	recommend	recommend	VERB
fcis-31674	181	12	relevant	relevant	ADJ
fcis-31674	181	13	accessories	accessory	NOUN
fcis-31674	181	14	,	,	PUNCT
fcis-31674	181	15	such	such	ADJ
fcis-31674	181	16	as	as	ADP
fcis-31674	181	17	laptop	laptop	NOUN
fcis-31674	181	18	bags	bag	NOUN
fcis-31674	181	19	,	,	PUNCT
fcis-31674	181	20	mice	mouse	NOUN
fcis-31674	181	21	,	,	PUNCT
fcis-31674	181	22	keyboard	keyboard	NOUN
fcis-31674	181	23	membranes	membrane	NOUN
fcis-31674	181	24	,	,	PUNCT
fcis-31674	181	25	etc	etc	X
fcis-31674	181	26	.	.	X
fcis-31674	181	27	,	,	PUNCT
fcis-31674	181	28	according	accord	VERB
fcis-31674	181	29	to	to	ADP
fcis-31674	181	30	the	the	DET
fcis-31674	181	31	purchase	purchase	NOUN
fcis-31674	181	32	history	history	NOUN
fcis-31674	181	33	of	of	ADP
fcis-31674	181	34	other	other	ADJ
fcis-31674	181	35	users	user	NOUN
fcis-31674	181	36	with	with	ADP
fcis-31674	181	37	similar	similar	ADJ
fcis-31674	181	38	browsing	browsing	NOUN
fcis-31674	181	39	and	and	CCONJ
fcis-31674	181	40	purchasing	purchasing	NOUN
fcis-31674	181	41	behavior	behavior	NOUN
fcis-31674	181	42	.	.	PUNCT
fcis-31674	182	1	at	at	ADP
fcis-31674	182	2	the	the	DET
fcis-31674	182	3	same	same	ADJ
fcis-31674	182	4	time	time	NOUN
fcis-31674	182	5	,	,	PUNCT
fcis-31674	182	6	it	it	PRON
fcis-31674	182	7	will	will	AUX
fcis-31674	182	8	also	also	ADV
fcis-31674	182	9	recommend	recommend	VERB
fcis-31674	182	10	other	other	ADJ
fcis-31674	182	11	laptops	laptop	NOUN
fcis-31674	182	12	with	with	ADP
fcis-31674	182	13	the	the	DET
fcis-31674	182	14	same	same	ADJ
fcis-31674	182	15	brand	brand	NOUN
fcis-31674	182	16	or	or	CCONJ
fcis-31674	182	17	price	price	NOUN
fcis-31674	182	18	to	to	PART
fcis-31674	182	19	meet	meet	VERB
fcis-31674	182	20	different	different	ADJ
fcis-31674	182	21	needs	need	NOUN
fcis-31674	182	22	of	of	ADP
fcis-31674	182	23	users	user	NOUN
fcis-31674	182	24	.	.	PUNCT
fcis-31674	183	1	in	in	ADP
fcis-31674	183	2	order	order	NOUN
fcis-31674	183	3	to	to	PART
fcis-31674	183	4	improve	improve	VERB
fcis-31674	183	5	the	the	DET
fcis-31674	183	6	recommendation	recommendation	NOUN
fcis-31674	183	7	accuracy	accuracy	NOUN
fcis-31674	183	8	and	and	CCONJ
fcis-31674	183	9	diversity	diversity	NOUN
fcis-31674	183	10	of	of	ADP
fcis-31674	183	11	intelligent	intelligent	ADJ
fcis-31674	183	12	recommender	recommender	NOUN
fcis-31674	183	13	systems	system	NOUN
fcis-31674	183	14	,	,	PUNCT
fcis-31674	183	15	researchers	researcher	NOUN
fcis-31674	183	16	and	and	CCONJ
fcis-31674	183	17	engineers	engineer	NOUN
fcis-31674	183	18	continue	continue	VERB
fcis-31674	183	19	to	to	PART
fcis-31674	183	20	explore	explore	VERB
fcis-31674	183	21	and	and	CCONJ
fcis-31674	183	22	improve	improve	VERB
fcis-31674	183	23	methods	method	NOUN
fcis-31674	183	24	.	.	PUNCT
fcis-31674	184	1	in	in	ADP
fcis-31674	184	2	terms	term	NOUN
fcis-31674	184	3	of	of	ADP
fcis-31674	184	4	algorithms	algorithm	NOUN
fcis-31674	184	5	,	,	PUNCT
fcis-31674	184	6	it	it	PRON
fcis-31674	184	7	is	be	AUX
fcis-31674	184	8	an	an	DET
fcis-31674	184	9	effective	effective	ADJ
fcis-31674	184	10	way	way	NOUN
fcis-31674	184	11	to	to	PART
fcis-31674	184	12	integrate	integrate	VERB
fcis-31674	184	13	multiple	multiple	ADJ
fcis-31674	184	14	recommendation	recommendation	NOUN
fcis-31674	184	15	algorithms	algorithm	NOUN
fcis-31674	184	16	.	.	PUNCT
fcis-31674	185	1	collaborative	collaborative	ADJ
fcis-31674	185	2	filtering	filtering	NOUN
fcis-31674	185	3	algorithm	algorithm	NOUN
fcis-31674	185	4	can	can	AUX
fcis-31674	185	5	find	find	VERB
fcis-31674	185	6	the	the	DET
fcis-31674	185	7	similarity	similarity	NOUN
fcis-31674	185	8	between	between	ADP
fcis-31674	185	9	users	user	NOUN
fcis-31674	185	10	,	,	PUNCT
fcis-31674	185	11	and	and	CCONJ
fcis-31674	185	12	contentbased	contentbase	VERB
fcis-31674	185	13	recommendation	recommendation	NOUN
fcis-31674	185	14	algorithm	algorithm	NOUN
fcis-31674	185	15	can	can	AUX
fcis-31674	185	16	make	make	VERB
fcis-31674	185	17	recommendations	recommendation	NOUN
fcis-31674	185	18	according	accord	VERB
fcis-31674	185	19	to	to	ADP
fcis-31674	185	20	the	the	DET
fcis-31674	185	21	characteristics	characteristic	NOUN
fcis-31674	185	22	of	of	ADP
fcis-31674	185	23	items	item	NOUN
fcis-31674	185	24	[	[	X
fcis-31674	185	25	16	16	NUM
fcis-31674	185	26	]	]	PUNCT
fcis-31674	185	27	.	.	PUNCT
fcis-31674	186	1	the	the	DET
fcis-31674	186	2	collaborative	collaborative	ADJ
fcis-31674	186	3	filtering	filtering	NOUN
fcis-31674	186	4	algorithm	algorithm	NOUN
fcis-31674	186	5	can	can	AUX
fcis-31674	186	6	be	be	AUX
fcis-31674	186	7	used	use	VERB
fcis-31674	186	8	to	to	PART
fcis-31674	186	9	find	find	VERB
fcis-31674	186	10	out	out	ADP
fcis-31674	186	11	the	the	DET
fcis-31674	186	12	user	user	NOUN
fcis-31674	186	13	group	group	NOUN
fcis-31674	186	14	with	with	ADP
fcis-31674	186	15	similar	similar	ADJ
fcis-31674	186	16	interests	interest	NOUN
fcis-31674	186	17	to	to	ADP
fcis-31674	186	18	the	the	DET
fcis-31674	186	19	target	target	NOUN
fcis-31674	186	20	user	user	NOUN
fcis-31674	186	21	,	,	PUNCT
fcis-31674	186	22	and	and	CCONJ
fcis-31674	186	23	then	then	ADV
fcis-31674	186	24	from	from	ADP
fcis-31674	186	25	these	these	DET
fcis-31674	186	26	users	user	NOUN
fcis-31674	186	27	'	'	PART
fcis-31674	186	28	favorite	favorite	ADJ
fcis-31674	186	29	items	item	NOUN
fcis-31674	186	30	,	,	PUNCT
fcis-31674	186	31	the	the	DET
fcis-31674	186	32	items	item	NOUN
fcis-31674	186	33	that	that	PRON
fcis-31674	186	34	are	be	AUX
fcis-31674	186	35	similar	similar	ADJ
fcis-31674	186	36	to	to	ADP
fcis-31674	186	37	the	the	DET
fcis-31674	186	38	historical	historical	ADJ
fcis-31674	186	39	preference	preference	NOUN
fcis-31674	186	40	content	content	NOUN
fcis-31674	186	41	of	of	ADP
fcis-31674	186	42	the	the	DET
fcis-31674	186	43	target	target	NOUN
fcis-31674	186	44	user	user	NOUN
fcis-31674	186	45	can	can	AUX
fcis-31674	186	46	be	be	AUX
fcis-31674	186	47	selected	select	VERB
fcis-31674	186	48	for	for	ADP
fcis-31674	186	49	recommendation	recommendation	NOUN
fcis-31674	186	50	.	.	PUNCT
fcis-31674	187	1	in	in	ADP
fcis-31674	187	2	terms	term	NOUN
fcis-31674	187	3	of	of	ADP
fcis-31674	187	4	data	datum	NOUN
fcis-31674	187	5	processing	processing	NOUN
fcis-31674	187	6	,	,	PUNCT
fcis-31674	187	7	enriching	enrich	VERB
fcis-31674	187	8	data	datum	NOUN
fcis-31674	187	9	sources	source	NOUN
fcis-31674	187	10	and	and	CCONJ
fcis-31674	187	11	improving	improve	VERB
fcis-31674	187	12	data	datum	NOUN
fcis-31674	187	13	quality	quality	NOUN
fcis-31674	187	14	are	be	AUX
fcis-31674	187	15	key	key	ADJ
fcis-31674	187	16	.	.	PUNCT
fcis-31674	188	1	in	in	ADP
fcis-31674	188	2	addition	addition	NOUN
fcis-31674	188	3	to	to	ADP
fcis-31674	188	4	the	the	DET
fcis-31674	188	5	user	user	NOUN
fcis-31674	188	6	's	's	PART
fcis-31674	188	7	behavior	behavior	NOUN
fcis-31674	188	8	data	datum	NOUN
fcis-31674	188	9	,	,	PUNCT
fcis-31674	188	10	it	it	PRON
fcis-31674	188	11	can	can	AUX
fcis-31674	188	12	also	also	ADV
fcis-31674	188	13	collect	collect	VERB
fcis-31674	188	14	the	the	DET
fcis-31674	188	15	user	user	NOUN
fcis-31674	188	16	's	's	PART
fcis-31674	188	17	social	social	ADJ
fcis-31674	188	18	data	datum	NOUN
fcis-31674	188	19	,	,	PUNCT
fcis-31674	188	20	demographic	demographic	ADJ
fcis-31674	188	21	data	datum	NOUN
fcis-31674	188	22	,	,	PUNCT
fcis-31674	188	23	etc	etc	X
fcis-31674	188	24	.	.	X
fcis-31674	188	25	,	,	PUNCT
fcis-31674	188	26	to	to	PART
fcis-31674	188	27	fully	fully	ADV
fcis-31674	188	28	understand	understand	VERB
fcis-31674	188	29	the	the	DET
fcis-31674	188	30	user	user	NOUN
fcis-31674	188	31	's	's	PART
fcis-31674	188	32	interests	interest	NOUN
fcis-31674	188	33	and	and	CCONJ
fcis-31674	188	34	needs	need	NOUN
fcis-31674	188	35	from	from	ADP
fcis-31674	188	36	multiple	multiple	ADJ
fcis-31674	188	37	dimensions	dimension	NOUN
fcis-31674	188	38	.	.	PUNCT
fcis-31674	189	1	in	in	ADP
fcis-31674	189	2	the	the	DET
fcis-31674	189	3	evaluation	evaluation	NOUN
fcis-31674	189	4	and	and	CCONJ
fcis-31674	189	5	optimization	optimization	NOUN
fcis-31674	189	6	of	of	ADP
fcis-31674	189	7	recommendation	recommendation	NOUN
fcis-31674	189	8	results	result	NOUN
fcis-31674	189	9	,	,	PUNCT
fcis-31674	189	10	a	a	DET
fcis-31674	189	11	scientific	scientific	ADJ
fcis-31674	189	12	evaluation	evaluation	NOUN
fcis-31674	189	13	index	index	NOUN
fcis-31674	189	14	system	system	NOUN
fcis-31674	189	15	is	be	AUX
fcis-31674	189	16	established	establish	VERB
fcis-31674	189	17	,	,	PUNCT
fcis-31674	189	18	such	such	ADJ
fcis-31674	189	19	as	as	ADP
fcis-31674	189	20	accuracy	accuracy	NOUN
fcis-31674	189	21	,	,	PUNCT
fcis-31674	189	22	recall	recall	NOUN
fcis-31674	189	23	,	,	PUNCT
fcis-31674	189	24	f1	f1	NOUN
fcis-31674	189	25	score	score	NOUN
fcis-31674	189	26	,	,	PUNCT
fcis-31674	189	27	mean	mean	VERB
fcis-31674	189	28	absolute	absolute	ADJ
fcis-31674	189	29	error	error	NOUN
fcis-31674	189	30	(	(	PUNCT
fcis-31674	189	31	mae	mae	PROPN
fcis-31674	189	32	)	)	PUNCT
fcis-31674	189	33	and	and	CCONJ
fcis-31674	189	34	so	so	ADV
fcis-31674	189	35	on	on	ADV
fcis-31674	189	36	.	.	PUNCT
fcis-31674	190	1	according	accord	VERB
fcis-31674	190	2	to	to	ADP
fcis-31674	190	3	the	the	DET
fcis-31674	190	4	evaluation	evaluation	NOUN
fcis-31674	190	5	results	result	NOUN
fcis-31674	190	6	,	,	PUNCT
fcis-31674	190	7	the	the	DET
fcis-31674	190	8	parameters	parameter	NOUN
fcis-31674	190	9	and	and	CCONJ
fcis-31674	190	10	strategies	strategy	NOUN
fcis-31674	190	11	of	of	ADP
fcis-31674	190	12	the	the	DET
fcis-31674	190	13	recommendation	recommendation	NOUN
fcis-31674	190	14	algorithm	algorithm	NOUN
fcis-31674	190	15	are	be	AUX
fcis-31674	190	16	adjusted	adjust	VERB
fcis-31674	190	17	in	in	ADP
fcis-31674	190	18	time	time	NOUN
fcis-31674	190	19	,	,	PUNCT
fcis-31674	190	20	and	and	CCONJ
fcis-31674	190	21	the	the	DET
fcis-31674	190	22	recommendation	recommendation	NOUN
fcis-31674	190	23	model	model	NOUN
fcis-31674	190	24	is	be	AUX
fcis-31674	190	25	optimized	optimize	VERB
fcis-31674	190	26	to	to	PART
fcis-31674	190	27	improve	improve	VERB
fcis-31674	190	28	the	the	DET
fcis-31674	190	29	accuracy	accuracy	NOUN
fcis-31674	190	30	and	and	CCONJ
fcis-31674	190	31	diversity	diversity	NOUN
fcis-31674	190	32	of	of	ADP
fcis-31674	190	33	the	the	DET
fcis-31674	190	34	recommendation	recommendation	NOUN
fcis-31674	190	35	.	.	PUNCT
fcis-31674	191	1	the	the	DET
fcis-31674	191	2	user	user	NOUN
fcis-31674	191	3	feedback	feedback	NOUN
fcis-31674	191	4	mechanism	mechanism	NOUN
fcis-31674	191	5	can	can	AUX
fcis-31674	191	6	also	also	ADV
fcis-31674	191	7	be	be	AUX
fcis-31674	191	8	used	use	VERB
fcis-31674	191	9	to	to	PART
fcis-31674	191	10	let	let	VERB
fcis-31674	191	11	users	user	NOUN
fcis-31674	191	12	evaluate	evaluate	VERB
fcis-31674	191	13	and	and	CCONJ
fcis-31674	191	14	feedback	feedback	VERB
fcis-31674	191	15	the	the	DET
fcis-31674	191	16	recommendation	recommendation	NOUN
fcis-31674	191	17	results	result	NOUN
fcis-31674	191	18	.	.	PUNCT
fcis-31674	192	1	according	accord	VERB
fcis-31674	192	2	to	to	ADP
fcis-31674	192	3	the	the	DET
fcis-31674	192	4	user	user	NOUN
fcis-31674	192	5	's	's	PART
fcis-31674	192	6	feedback	feedback	NOUN
fcis-31674	192	7	,	,	PUNCT
fcis-31674	192	8	the	the	DET
fcis-31674	192	9	recommendation	recommendation	NOUN
fcis-31674	192	10	system	system	NOUN
fcis-31674	192	11	can	can	AUX
fcis-31674	192	12	be	be	AUX
fcis-31674	192	13	constantly	constantly	ADV
fcis-31674	192	14	improved	improve	VERB
fcis-31674	192	15	to	to	PART
fcis-31674	192	16	meet	meet	VERB
fcis-31674	192	17	the	the	DET
fcis-31674	192	18	personalized	personalize	VERB
fcis-31674	192	19	needs	need	NOUN
fcis-31674	192	20	of	of	ADP
fcis-31674	192	21	users	user	NOUN
fcis-31674	192	22	.	.	PUNCT
fcis-31674	193	1	5	5	X
fcis-31674	193	2	.	.	X
fcis-31674	193	3	summary	summary	VERB
fcis-31674	193	4	this	this	DET
fcis-31674	193	5	paper	paper	NOUN
fcis-31674	193	6	presents	present	VERB
fcis-31674	193	7	a	a	DET
fcis-31674	193	8	comprehensive	comprehensive	ADJ
fcis-31674	193	9	and	and	CCONJ
fcis-31674	193	10	in	in	ADP
fcis-31674	193	11	-	-	PUNCT
fcis-31674	193	12	depth	depth	NOUN
fcis-31674	193	13	discussion	discussion	NOUN
fcis-31674	193	14	on	on	ADP
fcis-31674	193	15	data	data	NOUN
fcis-31674	193	16	-	-	PUNCT
fcis-31674	193	17	driven	drive	VERB
fcis-31674	193	18	intelligent	intelligent	ADJ
fcis-31674	193	19	computing	computing	NOUN
fcis-31674	193	20	and	and	CCONJ
fcis-31674	193	21	its	its	PRON
fcis-31674	193	22	applications	application	NOUN
fcis-31674	193	23	,	,	PUNCT
fcis-31674	193	24	covering	cover	VERB
fcis-31674	193	25	basic	basic	ADJ
fcis-31674	193	26	theories	theory	NOUN
fcis-31674	193	27	,	,	PUNCT
fcis-31674	193	28	key	key	ADJ
fcis-31674	193	29	technologies	technology	NOUN
fcis-31674	193	30	and	and	CCONJ
fcis-31674	193	31	typical	typical	ADJ
fcis-31674	193	32	applications	application	NOUN
fcis-31674	193	33	,	,	PUNCT
fcis-31674	193	34	and	and	CCONJ
fcis-31674	193	35	has	have	AUX
fcis-31674	193	36	achieved	achieve	VERB
fcis-31674	193	37	a	a	DET
fcis-31674	193	38	series	series	NOUN
fcis-31674	193	39	of	of	ADP
fcis-31674	193	40	valuable	valuable	ADJ
fcis-31674	193	41	research	research	NOUN
fcis-31674	193	42	results	result	NOUN
fcis-31674	193	43	.	.	PUNCT
fcis-31674	194	1	data	datum	NOUN
fcis-31674	194	2	quality	quality	NOUN
fcis-31674	194	3	is	be	AUX
fcis-31674	194	4	one	one	NUM
fcis-31674	194	5	of	of	ADP
fcis-31674	194	6	the	the	DET
fcis-31674	194	7	fundamental	fundamental	ADJ
fcis-31674	194	8	challenges	challenge	NOUN
fcis-31674	194	9	in	in	ADP
fcis-31674	194	10	data	data	NOUN
fcis-31674	194	11	-	-	PUNCT
fcis-31674	194	12	driven	drive	VERB
fcis-31674	194	13	intelligent	intelligent	ADJ
fcis-31674	194	14	computing	computing	NOUN
fcis-31674	194	15	.	.	PUNCT
fcis-31674	195	1	the	the	DET
fcis-31674	195	2	data	data	NOUN
fcis-31674	195	3	sources	source	NOUN
fcis-31674	195	4	in	in	ADP
fcis-31674	195	5	the	the	DET
fcis-31674	195	6	real	real	ADJ
fcis-31674	195	7	world	world	NOUN
fcis-31674	195	8	are	be	AUX
fcis-31674	195	9	wide	wide	ADJ
fcis-31674	195	10	and	and	CCONJ
fcis-31674	195	11	complex	complex	ADJ
fcis-31674	195	12	,	,	PUNCT
fcis-31674	195	13	and	and	CCONJ
fcis-31674	195	14	there	there	PRON
fcis-31674	195	15	are	be	VERB
fcis-31674	195	16	often	often	ADV
fcis-31674	195	17	problems	problem	NOUN
fcis-31674	195	18	such	such	ADJ
fcis-31674	195	19	as	as	ADP
fcis-31674	195	20	data	datum	NOUN
fcis-31674	195	21	missing	miss	VERB
fcis-31674	195	22	,	,	PUNCT
fcis-31674	195	23	noise	noise	NOUN
fcis-31674	195	24	,	,	PUNCT
fcis-31674	195	25	and	and	CCONJ
fcis-31674	195	26	inconsistency	inconsistency	NOUN
fcis-31674	195	27	.	.	PUNCT
fcis-31674	196	1	with	with	ADP
fcis-31674	196	2	the	the	DET
fcis-31674	196	3	wide	wide	ADJ
fcis-31674	196	4	application	application	NOUN
fcis-31674	196	5	of	of	ADP
fcis-31674	196	6	complex	complex	ADJ
fcis-31674	196	7	models	model	NOUN
fcis-31674	196	8	such	such	ADJ
fcis-31674	196	9	as	as	ADP
fcis-31674	196	10	deep	deep	ADJ
fcis-31674	196	11	learning	learning	NOUN
fcis-31674	196	12	in	in	ADP
fcis-31674	196	13	intelligent	intelligent	ADJ
fcis-31674	196	14	computing	computing	NOUN
fcis-31674	196	15	,	,	PUNCT
fcis-31674	196	16	the	the	DET
fcis-31674	196	17	interpretability	interpretability	NOUN
fcis-31674	196	18	of	of	ADP
fcis-31674	196	19	models	model	NOUN
fcis-31674	196	20	is	be	AUX
fcis-31674	196	21	becoming	become	VERB
fcis-31674	196	22	worse	bad	ADJ
fcis-31674	196	23	and	and	CCONJ
fcis-31674	196	24	worse	bad	ADJ
fcis-31674	196	25	.	.	PUNCT
fcis-31674	197	1	deep	deep	ADJ
fcis-31674	197	2	learning	learning	NOUN
fcis-31674	197	3	models	model	NOUN
fcis-31674	197	4	are	be	AUX
fcis-31674	197	5	usually	usually	ADV
fcis-31674	197	6	composed	compose	VERB
fcis-31674	197	7	of	of	ADP
fcis-31674	197	8	multiple	multiple	ADJ
fcis-31674	197	9	hidden	hide	VERB
fcis-31674	197	10	layers	layer	NOUN
fcis-31674	197	11	,	,	PUNCT
fcis-31674	197	12	and	and	CCONJ
fcis-31674	197	13	their	their	PRON
fcis-31674	197	14	internal	internal	ADJ
fcis-31674	197	15	decision	decision	NOUN
fcis-31674	197	16	-	-	PUNCT
fcis-31674	197	17	making	make	VERB
fcis-31674	197	18	process	process	NOUN
fcis-31674	197	19	is	be	AUX
fcis-31674	197	20	like	like	ADP
fcis-31674	197	21	a	a	DET
fcis-31674	197	22	"	"	PUNCT
fcis-31674	197	23	black	black	ADJ
fcis-31674	197	24	box	box	NOUN
fcis-31674	197	25	"	"	PUNCT
fcis-31674	197	26	,	,	PUNCT
fcis-31674	197	27	which	which	PRON
fcis-31674	197	28	is	be	AUX
fcis-31674	197	29	difficult	difficult	ADJ
fcis-31674	197	30	to	to	PART
fcis-31674	197	31	be	be	AUX
fcis-31674	197	32	understood	understand	VERB
fcis-31674	197	33	and	and	CCONJ
fcis-31674	197	34	explained	explain	VERB
fcis-31674	197	35	by	by	ADP
fcis-31674	197	36	humans	human	NOUN
fcis-31674	197	37	.	.	PUNCT
fcis-31674	198	1	intelligent	intelligent	ADJ
fcis-31674	198	2	computing	computing	NOUN
fcis-31674	198	3	models	model	NOUN
fcis-31674	198	4	,	,	PUNCT
fcis-31674	198	5	especially	especially	ADV
fcis-31674	198	6	deep	deep	ADJ
fcis-31674	198	7	learning	learning	NOUN
fcis-31674	198	8	models	model	NOUN
fcis-31674	198	9	,	,	PUNCT
fcis-31674	198	10	have	have	VERB
fcis-31674	198	11	a	a	DET
fcis-31674	198	12	huge	huge	ADJ
fcis-31674	198	13	demand	demand	NOUN
fcis-31674	198	14	for	for	ADP
fcis-31674	198	15	computing	compute	VERB
fcis-31674	198	16	resources	resource	NOUN
fcis-31674	198	17	.	.	PUNCT
fcis-31674	199	1	a	a	DET
fcis-31674	199	2	large	large	ADJ
fcis-31674	199	3	amount	amount	NOUN
fcis-31674	199	4	of	of	ADP
fcis-31674	199	5	data	datum	NOUN
fcis-31674	199	6	is	be	AUX
fcis-31674	199	7	collected	collect	VERB
fcis-31674	199	8	,	,	PUNCT
fcis-31674	199	9	stored	store	VERB
fcis-31674	199	10	and	and	CCONJ
fcis-31674	199	11	used	use	VERB
fcis-31674	199	12	,	,	PUNCT
fcis-31674	199	13	which	which	PRON
fcis-31674	199	14	contains	contain	VERB
fcis-31674	199	15	sensitive	sensitive	ADJ
fcis-31674	199	16	information	information	NOUN
fcis-31674	199	17	of	of	ADP
fcis-31674	199	18	many	many	ADJ
fcis-31674	199	19	users	user	NOUN
fcis-31674	199	20	,	,	PUNCT
fcis-31674	199	21	such	such	ADJ
fcis-31674	199	22	as	as	ADP
fcis-31674	199	23	personal	personal	ADJ
fcis-31674	199	24	identity	identity	NOUN
fcis-31674	199	25	information	information	NOUN
fcis-31674	199	26	,	,	PUNCT
fcis-31674	199	27	health	health	NOUN
fcis-31674	199	28	data	datum	NOUN
fcis-31674	199	29	,	,	PUNCT
fcis-31674	199	30	financial	financial	ADJ
fcis-31674	199	31	data	datum	NOUN
fcis-31674	199	32	,	,	PUNCT
fcis-31674	199	33	etc	etc	X
fcis-31674	199	34	.	.	X
fcis-31674	199	35	if	if	SCONJ
fcis-31674	199	36	these	these	DET
fcis-31674	199	37	data	datum	NOUN
fcis-31674	199	38	are	be	AUX
fcis-31674	199	39	leaked	leak	VERB
fcis-31674	199	40	or	or	CCONJ
fcis-31674	199	41	misused	misuse	VERB
fcis-31674	199	42	,	,	PUNCT
fcis-31674	199	43	it	it	PRON
fcis-31674	199	44	will	will	AUX
fcis-31674	199	45	cause	cause	VERB
fcis-31674	199	46	serious	serious	ADJ
fcis-31674	199	47	damage	damage	NOUN
fcis-31674	199	48	to	to	ADP
fcis-31674	199	49	the	the	DET
fcis-31674	199	50	privacy	privacy	NOUN
fcis-31674	199	51	and	and	CCONJ
fcis-31674	199	52	rights	right	NOUN
fcis-31674	199	53	of	of	ADP
fcis-31674	199	54	users	user	NOUN
fcis-31674	199	55	.	.	PUNCT
fcis-31674	200	1	some	some	DET
fcis-31674	200	2	enterprises	enterprise	NOUN
fcis-31674	200	3	may	may	AUX
fcis-31674	200	4	excessively	excessively	ADV
fcis-31674	200	5	collect	collect	VERB
fcis-31674	200	6	user	user	NOUN
fcis-31674	200	7	data	datum	NOUN
fcis-31674	200	8	and	and	CCONJ
fcis-31674	200	9	use	use	VERB
fcis-31674	200	10	it	it	PRON
fcis-31674	200	11	for	for	ADP
fcis-31674	200	12	commercial	commercial	ADJ
fcis-31674	200	13	purposes	purpose	NOUN
fcis-31674	200	14	,	,	PUNCT
fcis-31674	200	15	violating	violate	VERB
fcis-31674	200	16	users	user	NOUN
fcis-31674	200	17	'	'	PART
fcis-31674	200	18	privacy	privacy	NOUN
fcis-31674	200	19	rights	right	NOUN
fcis-31674	200	20	.	.	PUNCT
fcis-31674	201	1	how	how	SCONJ
fcis-31674	201	2	to	to	PART
fcis-31674	201	3	protect	protect	VERB
fcis-31674	201	4	data	datum	NOUN
fcis-31674	201	5	privacy	privacy	NOUN
fcis-31674	201	6	and	and	CCONJ
fcis-31674	201	7	security	security	NOUN
fcis-31674	201	8	,	,	PUNCT
fcis-31674	201	9	prevent	prevent	VERB
fcis-31674	201	10	data	datum	NOUN
fcis-31674	201	11	leakage	leakage	NOUN
fcis-31674	201	12	and	and	CCONJ
fcis-31674	201	13	abuse	abuse	NOUN
fcis-31674	201	14	,	,	PUNCT
fcis-31674	201	15	and	and	CCONJ
fcis-31674	201	16	improve	improve	VERB
fcis-31674	201	17	the	the	DET
fcis-31674	201	18	security	security	NOUN
fcis-31674	201	19	and	and	CCONJ
fcis-31674	201	20	robustness	robustness	NOUN
fcis-31674	201	21	of	of	ADP
fcis-31674	201	22	intelligent	intelligent	ADJ
fcis-31674	201	23	computing	computing	NOUN
fcis-31674	201	24	models	model	NOUN
fcis-31674	201	25	are	be	AUX
fcis-31674	201	26	the	the	DET
fcis-31674	201	27	key	key	ADJ
fcis-31674	201	28	issues	issue	NOUN
fcis-31674	201	29	to	to	PART
fcis-31674	201	30	be	be	AUX
fcis-31674	201	31	solved	solve	VERB
fcis-31674	201	32	urgently	urgently	ADV
fcis-31674	201	33	.	.	PUNCT
fcis-31674	202	1	looking	look	VERB
fcis-31674	202	2	forward	forward	ADV
fcis-31674	202	3	to	to	ADP
fcis-31674	202	4	the	the	DET
fcis-31674	202	5	future	future	NOUN
fcis-31674	202	6	,	,	PUNCT
fcis-31674	202	7	the	the	DET
fcis-31674	202	8	research	research	NOUN
fcis-31674	202	9	of	of	ADP
fcis-31674	202	10	data	data	NOUN
fcis-31674	202	11	-	-	PUNCT
fcis-31674	202	12	driven	drive	VERB
fcis-31674	202	13	intelligent	intelligent	ADJ
fcis-31674	202	14	computing	computing	NOUN
fcis-31674	202	15	has	have	VERB
fcis-31674	202	16	a	a	DET
fcis-31674	202	17	broad	broad	ADJ
fcis-31674	202	18	development	development	NOUN
fcis-31674	202	19	prospect	prospect	NOUN
fcis-31674	202	20	,	,	PUNCT
fcis-31674	202	21	and	and	CCONJ
fcis-31674	202	22	many	many	ADJ
fcis-31674	202	23	frontier	frontier	NOUN
fcis-31674	202	24	directions	direction	NOUN
fcis-31674	202	25	need	need	VERB
fcis-31674	202	26	to	to	PART
fcis-31674	202	27	be	be	AUX
fcis-31674	202	28	explored	explore	VERB
fcis-31674	202	29	.	.	PUNCT
fcis-31674	203	1	at	at	ADP
fcis-31674	203	2	the	the	DET
fcis-31674	203	3	level	level	NOUN
fcis-31674	203	4	of	of	ADP
fcis-31674	203	5	theoretical	theoretical	ADJ
fcis-31674	203	6	research	research	NOUN
fcis-31674	203	7	,	,	PUNCT
fcis-31674	203	8	the	the	DET
fcis-31674	203	9	theoretical	theoretical	ADJ
fcis-31674	203	10	foundation	foundation	NOUN
fcis-31674	203	11	of	of	ADP
fcis-31674	203	12	machine	machine	NOUN
fcis-31674	203	13	learning	learning	NOUN
fcis-31674	203	14	and	and	CCONJ
fcis-31674	203	15	deep	deep	ADJ
fcis-31674	203	16	learning	learning	NOUN
fcis-31674	203	17	still	still	ADV
fcis-31674	203	18	needs	need	VERB
fcis-31674	203	19	to	to	PART
fcis-31674	203	20	be	be	AUX
fcis-31674	203	21	further	far	ADV
fcis-31674	203	22	consolidated	consolidate	VERB
fcis-31674	203	23	.	.	PUNCT
fcis-31674	204	1	explore	explore	VERB
fcis-31674	204	2	the	the	DET
fcis-31674	204	3	cross	cross	NOUN
fcis-31674	204	4	integration	integration	NOUN
fcis-31674	204	5	of	of	ADP
fcis-31674	204	6	machine	machine	NOUN
fcis-31674	204	7	learning	learning	NOUN
fcis-31674	204	8	and	and	CCONJ
fcis-31674	204	9	deep	deep	ADJ
fcis-31674	204	10	learning	learning	NOUN
fcis-31674	204	11	with	with	ADP
fcis-31674	204	12	other	other	ADJ
fcis-31674	204	13	disciplines	discipline	NOUN
fcis-31674	204	14	,	,	PUNCT
fcis-31674	204	15	to	to	PART
fcis-31674	204	16	open	open	VERB
fcis-31674	204	17	up	up	ADP
fcis-31674	204	18	new	new	ADJ
fcis-31674	204	19	research	research	NOUN
fcis-31674	204	20	fields	field	NOUN
fcis-31674	204	21	and	and	CCONJ
fcis-31674	204	22	methods	method	NOUN
fcis-31674	204	23	.	.	PUNCT
fcis-31674	205	1	competing	compete	VERB
fcis-31674	205	2	interests	interest	NOUN
fcis-31674	205	3	the	the	DET
fcis-31674	205	4	authors	author	NOUN
fcis-31674	205	5	declare	declare	VERB
fcis-31674	205	6	that	that	SCONJ
fcis-31674	205	7	they	they	PRON
fcis-31674	205	8	have	have	VERB
fcis-31674	205	9	no	no	DET
fcis-31674	205	10	competing	compete	VERB
fcis-31674	205	11	of	of	ADP
fcis-31674	205	12	interest	interest	NOUN
fcis-31674	205	13	.	.	PUNCT
fcis-31674	206	1	acknowledgments	acknowledgment	NOUN
fcis-31674	206	2	this	this	DET
fcis-31674	206	3	work	work	NOUN
fcis-31674	206	4	was	be	AUX
fcis-31674	206	5	supported	support	VERB
fcis-31674	206	6	in	in	ADP
fcis-31674	206	7	part	part	NOUN
fcis-31674	206	8	by	by	ADP
fcis-31674	206	9	the	the	DET
fcis-31674	206	10	president	president	NOUN
fcis-31674	206	11	's	's	PART
fcis-31674	206	12	fund	fund	NOUN
fcis-31674	206	13	of	of	ADP
fcis-31674	206	14	xinjiang	xinjiang	PROPN
fcis-31674	206	15	university	university	PROPN
fcis-31674	206	16	of	of	ADP
fcis-31674	206	17	political	political	ADJ
fcis-31674	206	18	science	science	NOUN
fcis-31674	206	19	and	and	CCONJ
fcis-31674	206	20	law	law	NOUN
fcis-31674	206	21	under	under	ADP
fcis-31674	206	22	grants	grant	NOUN
fcis-31674	206	23	no	no	INTJ
fcis-31674	206	24	.	.	PUNCT
fcis-31674	207	1	xzzk2022005	xzzk2022005	PROPN
fcis-31674	207	2	.	.	PUNCT
fcis-31674	208	1	references	reference	NOUN
fcis-31674	208	2	[	[	X
fcis-31674	208	3	1	1	NUM
fcis-31674	208	4	]	]	X
fcis-31674	208	5	winthereik	winthereik	NOUN
fcis-31674	209	1	b	b	NOUN
fcis-31674	209	2	r	r	NOUN
fcis-31674	209	3	.data	.data	PRON
fcis-31674	209	4	as	as	ADP
fcis-31674	209	5	relation	relation	NOUN
fcis-31674	209	6	:	:	PUNCT
fcis-31674	209	7	ontological	ontological	ADJ
fcis-31674	209	8	trouble	trouble	NOUN
fcis-31674	209	9	in	in	ADP
fcis-31674	209	10	the	the	DET
fcis-31674	209	11	data	data	NOUN
fcis-31674	209	12	-	-	PUNCT
fcis-31674	209	13	driven	drive	VERB
fcis-31674	209	14	public	public	ADJ
fcis-31674	209	15	administration	administration	NOUN
fcis-31674	210	1	[	[	X
fcis-31674	210	2	j	j	X
fcis-31674	210	3	]	]	X
fcis-31674	210	4	.	.	PUNCT
fcis-31674	211	1	computer	computer	NOUN
fcis-31674	211	2	supported	support	VERB
fcis-31674	211	3	cooperative	cooperative	ADJ
fcis-31674	211	4	work	work	NOUN
fcis-31674	211	5	(	(	PUNCT
fcis-31674	211	6	cscw	cscw	NOUN
fcis-31674	211	7	)	)	PUNCT
fcis-31674	211	8	,	,	PUNCT
fcis-31674	211	9	2024	2024	NUM
fcis-31674	211	10	,	,	PUNCT
fcis-31674	211	11	33(3):371	33(3):371	NUM
fcis-31674	211	12	-	-	SYM
fcis-31674	211	13	388	388	NUM
fcis-31674	211	14	.	.	PUNCT
fcis-31674	212	1	[	[	X
fcis-31674	212	2	2	2	NUM
fcis-31674	212	3	]	]	PUNCT
fcis-31674	212	4	ekinci	ekinci	PROPN
fcis-31674	212	5	e	e	NOUN
fcis-31674	212	6	,	,	PUNCT
fcis-31674	212	7	kahraman	kahraman	PROPN
fcis-31674	212	8	k	k	PROPN
fcis-31674	212	9	,	,	PUNCT
fcis-31674	212	10	oturakci	oturakci	VERB
fcis-31674	212	11	m	m	VERB
fcis-31674	212	12	.enhancing	.enhance	VERB
fcis-31674	212	13	driver	driver	NOUN
fcis-31674	212	14	safety	safety	NOUN
fcis-31674	212	15	:	:	PUNCT
fcis-31674	212	16	integrating	integrate	VERB
fcis-31674	212	17	ecg	ecg	PROPN
fcis-31674	212	18	and	and	CCONJ
fcis-31674	212	19	can	can	AUX
fcis-31674	212	20	-	-	PUNCT
fcis-31674	212	21	bus	bus	NOUN
fcis-31674	212	22	data	datum	NOUN
fcis-31674	212	23	for	for	ADP
fcis-31674	212	24	accurate	accurate	ADJ
fcis-31674	212	25	drowsiness	drowsiness	NOUN
fcis-31674	212	26	detection	detection	NOUN
fcis-31674	213	1	[	[	X
fcis-31674	213	2	j	j	X
fcis-31674	213	3	]	]	X
fcis-31674	213	4	.	.	PUNCT
fcis-31674	214	1	traitement	traitement	PROPN
fcis-31674	214	2	du	du	PROPN
fcis-31674	214	3	signal	signal	NOUN
fcis-31674	214	4	,	,	PUNCT
fcis-31674	214	5	2025	2025	NUM
fcis-31674	214	6	,	,	PUNCT
fcis-31674	214	7	42(2	42(2	NUM
fcis-31674	214	8	)	)	PUNCT
fcis-31674	214	9	.	.	PUNCT
fcis-31674	215	1	[	[	X
fcis-31674	215	2	3	3	X
fcis-31674	215	3	]	]	X
fcis-31674	215	4	rafi	rafi	PROPN
fcis-31674	215	5	h	h	PROPN
fcis-31674	215	6	,	,	PUNCT
fcis-31674	215	7	benezeth	benezeth	PROPN
fcis-31674	215	8	y	y	PROPN
fcis-31674	215	9	,	,	PUNCT
fcis-31674	215	10	song	song	NOUN
fcis-31674	215	11	f	f	PROPN
fcis-31674	215	12	y	y	PROPN
fcis-31674	215	13	,	,	PUNCT
fcis-31674	215	14	et	et	NOUN
fcis-31674	215	15	al.tree	al.tree	ADV
fcis-31674	215	16	-	-	PUNCT
fcis-31674	215	17	based	base	VERB
fcis-31674	215	18	personalized	personalized	ADJ
fcis-31674	215	19	clustered	clustered	ADJ
fcis-31674	215	20	federated	federated	ADJ
fcis-31674	215	21	learning	learning	NOUN
fcis-31674	215	22	:	:	PUNCT
fcis-31674	215	23	a	a	DET
fcis-31674	215	24	driver	driver	NOUN
fcis-31674	215	25	stress	stress	NOUN
fcis-31674	215	26	monitoring	monitor	VERB
fcis-31674	215	27	through	through	ADP
fcis-31674	215	28	physiological	physiological	ADJ
fcis-31674	215	29	data	datum	NOUN
fcis-31674	215	30	case	case	NOUN
fcis-31674	215	31	study	study	NOUN
fcis-31674	215	32	[	[	X
fcis-31674	215	33	j	j	X
fcis-31674	215	34	]	]	X
fcis-31674	215	35	.	.	PUNCT
fcis-31674	216	1	ieee	ieee	PROPN
fcis-31674	216	2	internet	internet	NOUN
fcis-31674	216	3	of	of	ADP
fcis-31674	216	4	things	thing	NOUN
fcis-31674	216	5	journal	journal	NOUN
fcis-31674	216	6	,	,	PUNCT
fcis-31674	216	7	2025	2025	NUM
fcis-31674	216	8	,	,	PUNCT
fcis-31674	216	9	12(2):1688	12(2):1688	NUM
fcis-31674	216	10	-	-	SYM
fcis-31674	216	11	1698	1698	NUM
fcis-31674	216	12	.	.	PUNCT
fcis-31674	217	1	[	[	X
fcis-31674	217	2	4	4	NUM
fcis-31674	217	3	]	]	PUNCT
fcis-31674	217	4	samigulina	samigulina	ADJ
fcis-31674	217	5	g	g	NOUN
fcis-31674	217	6	,	,	PUNCT
fcis-31674	217	7	samigulina	samigulina	PROPN
fcis-31674	217	8	z	z	PROPN
fcis-31674	217	9	,	,	PUNCT
fcis-31674	217	10	bekeshev	bekeshev	PROPN
fcis-31674	217	11	d	d	PROPN
fcis-31674	217	12	,	,	PUNCT
fcis-31674	217	13	et	et	PROPN
fcis-31674	217	14	al.data	al.data	NOUN
fcis-31674	217	15	-	-	PUNCT
fcis-31674	217	16	driven	drive	VERB
fcis-31674	217	17	machinery	machinery	NOUN
fcis-31674	217	18	faults	fault	NOUN
fcis-31674	217	19	detection	detection	NOUN
fcis-31674	217	20	techniques	technique	NOUN
fcis-31674	217	21	using	use	VERB
fcis-31674	217	22	artificial	artificial	ADJ
fcis-31674	217	23	111	111	NUM
fcis-31674	217	24	intelligence	intelligence	NOUN
fcis-31674	217	25	in	in	ADP
fcis-31674	217	26	industry	industry	NOUN
fcis-31674	217	27	4.0	4.0	NUM
fcis-31674	217	28	concept	concept	NOUN
fcis-31674	217	29	[	[	X
fcis-31674	217	30	j	j	X
fcis-31674	217	31	]	]	X
fcis-31674	217	32	.	.	PUNCT
fcis-31674	218	1	procedia	procedia	PROPN
fcis-31674	218	2	computer	computer	NOUN
fcis-31674	218	3	science	science	NOUN
fcis-31674	218	4	,	,	PUNCT
fcis-31674	218	5	2025	2025	NUM
fcis-31674	218	6	,	,	PUNCT
fcis-31674	218	7	257:404	257:404	NOUN
fcis-31674	218	8	-	-	PUNCT
fcis-31674	218	9	411	411	NUM
fcis-31674	218	10	.	.	PUNCT
fcis-31674	219	1	[	[	X
fcis-31674	219	2	5	5	X
fcis-31674	219	3	]	]	X
fcis-31674	219	4	lu	lu	VERB
fcis-31674	219	5	m	m	VERB
fcis-31674	219	6	.automated	.automate	VERB
fcis-31674	219	7	machine	machine	NOUN
fcis-31674	219	8	learning	learning	NOUN
fcis-31674	219	9	and	and	CCONJ
fcis-31674	219	10	data	data	NOUN
fcis-31674	219	11	-	-	PUNCT
fcis-31674	219	12	driven	drive	VERB
fcis-31674	219	13	decision	decision	NOUN
fcis-31674	219	14	support	support	NOUN
fcis-31674	219	15	system	system	NOUN
fcis-31674	219	16	for	for	ADP
fcis-31674	219	17	strategy	strategy	NOUN
fcis-31674	219	18	management	management	NOUN
fcis-31674	219	19	in	in	ADP
fcis-31674	219	20	organizational	organizational	ADJ
fcis-31674	219	21	activities	activity	NOUN
fcis-31674	219	22	[	[	X
fcis-31674	219	23	j	j	X
fcis-31674	219	24	]	]	X
fcis-31674	219	25	.	.	PUNCT
fcis-31674	220	1	journal	journal	PROPN
fcis-31674	220	2	of	of	ADP
fcis-31674	220	3	computing	computing	PROPN
fcis-31674	220	4	&	&	CCONJ
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fcis-31674	220	6	technology	technology	NOUN
fcis-31674	220	7	,	,	PUNCT
fcis-31674	220	8	2025	2025	NUM
fcis-31674	220	9	,	,	PUNCT
fcis-31674	220	10	33(1	33(1	NUM
fcis-31674	220	11	)	)	PUNCT
fcis-31674	220	12	.	.	PUNCT
fcis-31674	221	1	[	[	X
fcis-31674	221	2	6	6	NUM
fcis-31674	221	3	]	]	PUNCT
fcis-31674	221	4	naing	nae	VERB
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fcis-31674	221	8	w	w	PROPN
fcis-31674	221	9	,	,	PUNCT
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fcis-31674	221	12	,	,	PUNCT
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fcis-31674	221	15	-	-	PUNCT
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fcis-31674	221	17	trajectory	trajectory	NOUN
fcis-31674	221	18	reconstruction	reconstruction	NOUN
fcis-31674	221	19	by	by	ADP
fcis-31674	221	20	microscopic	microscopic	ADJ
fcis-31674	221	21	traffic	traffic	NOUN
fcis-31674	221	22	simulation	simulation	NOUN
fcis-31674	221	23	with	with	ADP
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fcis-31674	221	25	data	data	NOUN
fcis-31674	221	26	-	-	PUNCT
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fcis-31674	221	30	[	[	X
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fcis-31674	221	33	.	.	PUNCT
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fcis-31674	222	3	systems	system	NOUN
fcis-31674	222	4	,	,	PUNCT
fcis-31674	222	5	ieee	ieee	NOUN
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fcis-31674	222	8	,	,	PUNCT
fcis-31674	222	9	2025	2025	NUM
fcis-31674	222	10	,	,	PUNCT
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fcis-31674	222	12	-	-	SYM
fcis-31674	222	13	1950	1950	NUM
fcis-31674	222	14	.	.	PUNCT
fcis-31674	223	1	[	[	X
fcis-31674	223	2	7	7	X
fcis-31674	223	3	]	]	X
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fcis-31674	223	9	,	,	PUNCT
fcis-31674	223	10	yan	yan	PROPN
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fcis-31674	223	12	.	.	PUNCT
fcis-31674	224	1	digital	digital	PROPN
fcis-31674	224	2	twin	twin	ADJ
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fcis-31674	224	4	:	:	PUNCT
fcis-31674	224	5	a	a	DET
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fcis-31674	224	8	j	j	X
fcis-31674	224	9	]	]	X
fcis-31674	224	10	.	.	PUNCT
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fcis-31674	225	5	,	,	PUNCT
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fcis-31674	225	7	,	,	PUNCT
fcis-31674	225	8	8(18	8(18	NUM
fcis-31674	225	9	):	):	PUNCT
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fcis-31674	225	11	.	.	PUNCT
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fcis-31674	226	3	]	]	PUNCT
fcis-31674	226	4	wuhui	wuhui	PROPN
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fcis-31674	226	9	,	,	PUNCT
fcis-31674	226	10	ting	ting	PROPN
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fcis-31674	226	12	,	,	PUNCT
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fcis-31674	226	15	.	.	PUNCT
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fcis-31674	227	5	internet	internet	NOUN
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fcis-31674	227	7	things	thing	NOUN
fcis-31674	227	8	:	:	PUNCT
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fcis-31674	227	11	survey	survey	NOUN
fcis-31674	228	1	[	[	X
fcis-31674	228	2	j	j	X
fcis-31674	228	3	]	]	X
fcis-31674	228	4	.	.	PUNCT
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fcis-31674	229	3	.	.	PUNCT
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fcis-31674	230	2	.	.	PUNCT
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fcis-31674	231	2	,	,	PUNCT
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fcis-31674	231	4	,	,	PUNCT
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fcis-31674	231	6	):	):	PUNCT
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fcis-31674	231	8	-	-	SYM
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fcis-31674	231	10	.	.	PUNCT
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fcis-31674	232	3	]	]	SYM
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fcis-31674	232	9	,	,	PUNCT
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fcis-31674	232	13	et	et	PROPN
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fcis-31674	233	3	neural	neural	ADJ
fcis-31674	233	4	networks	network	NOUN
fcis-31674	233	5	for	for	ADP
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fcis-31674	233	11	:	:	PUNCT
fcis-31674	233	12	a	a	DET
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fcis-31674	233	14	[	[	X
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fcis-31674	233	17	.	.	PUNCT
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fcis-31674	235	2	.	.	PUNCT
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fcis-31674	236	3	,	,	PUNCT
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fcis-31674	236	5	,	,	PUNCT
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fcis-31674	236	7	):	):	PUNCT
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fcis-31674	236	9	-	-	SYM
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fcis-31674	236	11	.	.	PUNCT
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fcis-31674	237	7	,	,	PUNCT
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fcis-31674	237	11	.	.	PUNCT
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fcis-31674	237	15	internet	internet	NOUN
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fcis-31674	237	17	things	thing	NOUN
fcis-31674	237	18	in	in	ADP
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fcis-31674	237	20	:	:	PUNCT
fcis-31674	237	21	a	a	DET
fcis-31674	237	22	survey	survey	NOUN
fcis-31674	237	23	[	[	X
fcis-31674	237	24	j	j	X
fcis-31674	237	25	]	]	X
fcis-31674	237	26	.	.	PUNCT
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fcis-31674	238	3	,	,	PUNCT
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fcis-31674	238	5	,	,	PUNCT
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fcis-31674	238	7	:	:	SYM
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fcis-31674	238	9	-	-	SYM
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fcis-31674	238	11	.	.	PUNCT
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fcis-31674	239	3	]	]	X
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fcis-31674	239	6	,	,	PUNCT
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fcis-31674	239	9	,	,	PUNCT
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fcis-31674	239	23	:	:	PUNCT
fcis-31674	239	24	a	a	DET
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fcis-31674	239	29	.	.	PUNCT
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fcis-31674	240	3	.	.	PUNCT
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fcis-31674	241	2	.	.	PUNCT
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fcis-31674	242	2	.	.	PUNCT
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fcis-31674	243	2	,	,	PUNCT
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fcis-31674	243	4	,	,	PUNCT
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fcis-31674	243	6	):	):	PUNCT
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fcis-31674	243	8	-	-	SYM
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fcis-31674	243	10	.	.	PUNCT
fcis-31674	244	1	[	[	X
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fcis-31674	244	3	]	]	PUNCT
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fcis-31674	244	14	,	,	PUNCT
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fcis-31674	244	17	.	.	PUNCT
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fcis-31674	246	1	ieee	ieee	PROPN
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fcis-31674	247	2	.	.	PUNCT
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fcis-31674	248	2	,	,	PUNCT
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fcis-31674	248	4	,	,	PUNCT
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fcis-31674	248	6	):	):	PUNCT
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fcis-31674	248	8	-	-	SYM
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fcis-31674	248	10	.	.	PUNCT
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fcis-31674	249	23	:	:	PUNCT
fcis-31674	249	24	survey	survey	NOUN
fcis-31674	249	25	,	,	PUNCT
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fcis-31674	250	1	[	[	X
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fcis-31674	250	7	.	.	PUNCT
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fcis-31674	251	2	,	,	PUNCT
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fcis-31674	251	4	,	,	PUNCT
fcis-31674	251	5	56(2	56(2	NUM
fcis-31674	251	6	):	):	PUNCT
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fcis-31674	251	8	-	-	SYM
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fcis-31674	251	10	.	.	PUNCT
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fcis-31674	252	9	,	,	PUNCT
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fcis-31674	252	25	:	:	PUNCT
fcis-31674	252	26	a	a	DET
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fcis-31674	252	28	[	[	X
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fcis-31674	252	30	]	]	X
fcis-31674	252	31	.	.	PUNCT
fcis-31674	253	1	ieee	ieee	PROPN
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fcis-31674	253	3	.	.	PUNCT
fcis-31674	254	1	comput	comput	NOUN
fcis-31674	254	2	.	.	PUNCT
fcis-31674	255	1	soc	soc	PROPN
fcis-31674	255	2	.	.	PUNCT
fcis-31674	256	1	syst	syst	PROPN
fcis-31674	256	2	,	,	PUNCT
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fcis-31674	256	4	,	,	PUNCT
fcis-31674	256	5	10(4	10(4	NUM
fcis-31674	256	6	):	):	PUNCT
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fcis-31674	256	8	-	-	SYM
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fcis-31674	256	10	.	.	PUNCT
fcis-31674	257	1	[	[	X
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fcis-31674	257	3	]	]	PUNCT
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fcis-31674	257	14	al	al	PROPN
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fcis-31674	257	16	pretrained	pretraine	VERB
fcis-31674	257	17	quantuminspired	quantuminspire	VERB
fcis-31674	257	18	deep	deep	ADJ
fcis-31674	257	19	neural	neural	ADJ
fcis-31674	257	20	network	network	NOUN
fcis-31674	257	21	for	for	ADP
fcis-31674	257	22	natural	natural	ADJ
fcis-31674	257	23	language	language	NOUN
fcis-31674	257	24	processing	processing	NOUN
fcis-31674	257	25	[	[	X
fcis-31674	257	26	j	j	X
fcis-31674	257	27	]	]	X
fcis-31674	257	28	.	.	PUNCT
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fcis-31674	258	2	trans	trans	PROPN
fcis-31674	258	3	.	.	PUNCT
fcis-31674	259	1	cybern	cybern	PROPN
fcis-31674	259	2	.	.	PUNCT
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fcis-31674	260	2	,	,	PUNCT
fcis-31674	260	3	54(10	54(10	NUM
fcis-31674	260	4	):	):	PUNCT
fcis-31674	260	5	5973	5973	NUM
fcis-31674	260	6	-	-	SYM
fcis-31674	260	7	5985	5985	NUM
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fcis-31674	261	1	[	[	X
fcis-31674	261	2	16	16	NUM
fcis-31674	261	3	]	]	PUNCT
fcis-31674	261	4	przemyslaw	przemyslaw	NOUN
fcis-31674	261	5	kazienko	kazienko	PROPN
fcis-31674	261	6	,	,	PUNCT
fcis-31674	261	7	erik	erik	PROPN
fcis-31674	261	8	cambria	cambria	PROPN
fcis-31674	261	9	.	.	PUNCT
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fcis-31674	262	2	responsible	responsible	ADJ
fcis-31674	262	3	recommender	recommender	NOUN
fcis-31674	262	4	systems	system	NOUN
fcis-31674	262	5	[	[	X
fcis-31674	262	6	j	j	X
fcis-31674	262	7	]	]	X
fcis-31674	262	8	.	.	PUNCT
fcis-31674	263	1	ieee	ieee	PROPN
fcis-31674	263	2	intell	intell	PROPN
fcis-31674	263	3	.	.	PUNCT
fcis-31674	264	1	syst	syst	PROPN
fcis-31674	264	2	.	.	PUNCT
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fcis-31674	265	2	,	,	PUNCT
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fcis-31674	265	4	):	):	PUNCT
fcis-31674	265	5	512	512	NUM
fcis-31674	265	6	.	.	PUNCT