id	sid	tid	token	lemma	pos
fcis-20720	1	1	frontiers	frontier	NOUN
fcis-20720	1	2	in	in	ADP
fcis-20720	1	3	computing	computing	NOUN
fcis-20720	1	4	and	and	CCONJ
fcis-20720	1	5	intelligent	intelligent	ADJ
fcis-20720	1	6	systems	system	NOUN
fcis-20720	1	7	issn	issn	VERB
fcis-20720	1	8	:	:	PUNCT
fcis-20720	1	9	2832	2832	NUM
fcis-20720	1	10	-	-	SYM
fcis-20720	1	11	6024	6024	NUM
fcis-20720	1	12	|	|	NOUN
fcis-20720	1	13	vol	vol	NOUN
fcis-20720	1	14	.	.	PROPN
fcis-20720	2	1	8	8	NUM
fcis-20720	2	2	,	,	PUNCT
fcis-20720	2	3	no	no	INTJ
fcis-20720	2	4	.	.	NOUN
fcis-20720	2	5	1	1	NUM
fcis-20720	2	6	,	,	PUNCT
fcis-20720	2	7	2024	2024	NUM
fcis-20720	2	8	69	69	NUM
fcis-20720	2	9	research	research	NOUN
fcis-20720	2	10	on	on	ADP
fcis-20720	2	11	development	development	NOUN
fcis-20720	2	12	of	of	ADP
fcis-20720	2	13	generative	generative	ADJ
fcis-20720	2	14	artificial	artificial	ADJ
fcis-20720	2	15	intelligence	intelligence	NOUN
fcis-20720	2	16	junliang	junliang	NOUN
fcis-20720	2	17	wang	wang	PROPN
fcis-20720	2	18	*	*	PUNCT
fcis-20720	2	19	international	international	ADJ
fcis-20720	2	20	economics	economic	NOUN
fcis-20720	2	21	,	,	PUNCT
fcis-20720	2	22	johns	johns	PROPN
fcis-20720	2	23	hopkins	hopkins	PROPN
fcis-20720	2	24	university	university	PROPN
fcis-20720	2	25	,	,	PUNCT
fcis-20720	2	26	dc	dc	PROPN
fcis-20720	2	27	,	,	PUNCT
fcis-20720	2	28	usa	usa	PROPN
fcis-20720	2	29	*	*	PUNCT
fcis-20720	2	30	corresponding	correspond	VERB
fcis-20720	2	31	author	author	NOUN
fcis-20720	2	32	email	email	NOUN
fcis-20720	2	33	:	:	PUNCT
fcis-20720	2	34	jwang386@alumni.jh.edu	jwang386@alumni.jh.edu	PROPN
fcis-20720	2	35	abstract	abstract	ADJ
fcis-20720	2	36	:	:	PUNCT
fcis-20720	2	37	machine	machine	NOUN
fcis-20720	2	38	learning	learning	NOUN
fcis-20720	2	39	,	,	PUNCT
fcis-20720	2	40	as	as	ADP
fcis-20720	2	41	one	one	NUM
fcis-20720	2	42	of	of	ADP
fcis-20720	2	43	the	the	DET
fcis-20720	2	44	key	key	ADJ
fcis-20720	2	45	technologies	technology	NOUN
fcis-20720	2	46	in	in	ADP
fcis-20720	2	47	the	the	DET
fcis-20720	2	48	field	field	NOUN
fcis-20720	2	49	of	of	ADP
fcis-20720	2	50	artificial	artificial	ADJ
fcis-20720	2	51	intelligence	intelligence	NOUN
fcis-20720	2	52	,	,	PUNCT
fcis-20720	2	53	has	have	AUX
fcis-20720	2	54	made	make	VERB
fcis-20720	2	55	significant	significant	ADJ
fcis-20720	2	56	advancements	advancement	NOUN
fcis-20720	2	57	in	in	ADP
fcis-20720	2	58	recent	recent	ADJ
fcis-20720	2	59	years	year	NOUN
fcis-20720	2	60	.	.	PUNCT
fcis-20720	3	1	this	this	DET
fcis-20720	3	2	study	study	NOUN
fcis-20720	3	3	provides	provide	VERB
fcis-20720	3	4	a	a	DET
fcis-20720	3	5	relatively	relatively	ADV
fcis-20720	3	6	systematic	systematic	ADJ
fcis-20720	3	7	introduction	introduction	NOUN
fcis-20720	3	8	to	to	ADP
fcis-20720	3	9	machine	machine	NOUN
fcis-20720	3	10	learning	learning	NOUN
fcis-20720	3	11	.	.	PUNCT
fcis-20720	4	1	firstly	firstly	ADV
fcis-20720	4	2	,	,	PUNCT
fcis-20720	4	3	it	it	PRON
fcis-20720	4	4	gives	give	VERB
fcis-20720	4	5	an	an	DET
fcis-20720	4	6	overview	overview	NOUN
fcis-20720	4	7	of	of	ADP
fcis-20720	4	8	the	the	DET
fcis-20720	4	9	historical	historical	ADJ
fcis-20720	4	10	development	development	NOUN
fcis-20720	4	11	of	of	ADP
fcis-20720	4	12	machine	machine	NOUN
fcis-20720	4	13	learning	learning	NOUN
fcis-20720	4	14	,	,	PUNCT
fcis-20720	4	15	and	and	CCONJ
fcis-20720	4	16	then	then	ADV
fcis-20720	4	17	focuses	focus	VERB
fcis-20720	4	18	on	on	ADP
fcis-20720	4	19	the	the	DET
fcis-20720	4	20	analysis	analysis	NOUN
fcis-20720	4	21	of	of	ADP
fcis-20720	4	22	classical	classical	ADJ
fcis-20720	4	23	algorithms	algorithm	NOUN
fcis-20720	4	24	in	in	ADP
fcis-20720	4	25	machine	machine	NOUN
fcis-20720	4	26	learning	learning	NOUN
fcis-20720	4	27	.	.	PUNCT
fcis-20720	5	1	subsequently	subsequently	ADV
fcis-20720	5	2	,	,	PUNCT
fcis-20720	5	3	it	it	PRON
fcis-20720	5	4	elucidates	elucidate	VERB
fcis-20720	5	5	the	the	DET
fcis-20720	5	6	latest	late	ADJ
fcis-20720	5	7	research	research	NOUN
fcis-20720	5	8	advancements	advancement	NOUN
fcis-20720	5	9	in	in	ADP
fcis-20720	5	10	machine	machine	NOUN
fcis-20720	5	11	learning	learning	NOUN
fcis-20720	5	12	,	,	PUNCT
fcis-20720	5	13	aiming	aim	VERB
fcis-20720	5	14	to	to	PART
fcis-20720	5	15	comprehensively	comprehensively	ADV
fcis-20720	5	16	explore	explore	VERB
fcis-20720	5	17	the	the	DET
fcis-20720	5	18	applications	application	NOUN
fcis-20720	5	19	of	of	ADP
fcis-20720	5	20	machine	machine	NOUN
fcis-20720	5	21	learning	learn	VERB
fcis-20720	5	22	in	in	ADP
fcis-20720	5	23	various	various	ADJ
fcis-20720	5	24	domains	domain	NOUN
fcis-20720	5	25	and	and	CCONJ
fcis-20720	5	26	discuss	discuss	VERB
fcis-20720	5	27	potential	potential	ADJ
fcis-20720	5	28	future	future	ADJ
fcis-20720	5	29	directions	direction	NOUN
fcis-20720	5	30	.	.	PUNCT
fcis-20720	6	1	keywords	keyword	NOUN
fcis-20720	6	2	:	:	PUNCT
fcis-20720	6	3	machine	machine	NOUN
fcis-20720	6	4	learning	learning	NOUN
fcis-20720	6	5	;	;	PUNCT
fcis-20720	6	6	algorithm	algorithm	NOUN
fcis-20720	6	7	;	;	PUNCT
fcis-20720	6	8	development	development	NOUN
fcis-20720	6	9	.	.	PUNCT
fcis-20720	7	1	1	1	X
fcis-20720	7	2	.	.	X
fcis-20720	7	3	introduction	introduction	NOUN
fcis-20720	7	4	with	with	ADP
fcis-20720	7	5	the	the	DET
fcis-20720	7	6	support	support	NOUN
fcis-20720	7	7	of	of	ADP
fcis-20720	7	8	modern	modern	ADJ
fcis-20720	7	9	information	information	NOUN
fcis-20720	7	10	technology	technology	NOUN
fcis-20720	7	11	,	,	PUNCT
fcis-20720	7	12	computer	computer	NOUN
fcis-20720	7	13	technology	technology	NOUN
fcis-20720	7	14	has	have	AUX
fcis-20720	7	15	provided	provide	VERB
fcis-20720	7	16	a	a	DET
fcis-20720	7	17	solid	solid	ADJ
fcis-20720	7	18	foundation	foundation	NOUN
fcis-20720	7	19	for	for	ADP
fcis-20720	7	20	the	the	DET
fcis-20720	7	21	development	development	NOUN
fcis-20720	7	22	of	of	ADP
fcis-20720	7	23	intelligent	intelligent	ADJ
fcis-20720	7	24	artificial	artificial	ADJ
fcis-20720	7	25	technology	technology	NOUN
fcis-20720	7	26	.	.	PUNCT
fcis-20720	8	1	intelligent	intelligent	ADJ
fcis-20720	8	2	computing	computing	NOUN
fcis-20720	8	3	technology	technology	NOUN
fcis-20720	8	4	is	be	AUX
fcis-20720	8	5	supported	support	VERB
fcis-20720	8	6	by	by	ADP
fcis-20720	8	7	computers	computer	NOUN
fcis-20720	8	8	and	and	CCONJ
fcis-20720	8	9	involves	involve	VERB
fcis-20720	8	10	interdisciplinary	interdisciplinary	ADJ
fcis-20720	8	11	knowledge	knowledge	NOUN
fcis-20720	8	12	such	such	ADJ
fcis-20720	8	13	as	as	ADP
fcis-20720	8	14	statistics	statistic	NOUN
fcis-20720	8	15	,	,	PUNCT
fcis-20720	8	16	approximation	approximation	NOUN
fcis-20720	8	17	theory	theory	NOUN
fcis-20720	8	18	,	,	PUNCT
fcis-20720	8	19	algorithmic	algorithmic	ADJ
fcis-20720	8	20	complexity	complexity	NOUN
fcis-20720	8	21	theory	theory	NOUN
fcis-20720	8	22	,	,	PUNCT
fcis-20720	8	23	and	and	CCONJ
fcis-20720	8	24	convex	convex	VERB
fcis-20720	8	25	part	part	NOUN
fcis-20720	8	26	theory	theory	NOUN
fcis-20720	8	27	.	.	PUNCT
fcis-20720	9	1	through	through	ADP
fcis-20720	9	2	computer	computer	NOUN
fcis-20720	9	3	technology	technology	NOUN
fcis-20720	9	4	,	,	PUNCT
fcis-20720	9	5	the	the	DET
fcis-20720	9	6	system	system	NOUN
fcis-20720	9	7	can	can	AUX
fcis-20720	9	8	continuously	continuously	ADV
fcis-20720	9	9	improve	improve	VERB
fcis-20720	9	10	its	its	PRON
fcis-20720	9	11	performance	performance	NOUN
fcis-20720	9	12	by	by	ADP
fcis-20720	9	13	utilizing	utilize	VERB
fcis-20720	9	14	its	its	PRON
fcis-20720	9	15	own	own	ADJ
fcis-20720	9	16	learning	learning	NOUN
fcis-20720	9	17	experience	experience	NOUN
fcis-20720	9	18	.	.	PUNCT
fcis-20720	10	1	based	base	VERB
fcis-20720	10	2	on	on	ADP
fcis-20720	10	3	computer	computer	NOUN
fcis-20720	10	4	regular	regular	ADJ
fcis-20720	10	5	information	information	NOUN
fcis-20720	10	6	data	datum	NOUN
fcis-20720	10	7	,	,	PUNCT
fcis-20720	10	8	intelligent	intelligent	ADJ
fcis-20720	10	9	computing	computing	NOUN
fcis-20720	10	10	technology	technology	NOUN
fcis-20720	10	11	seeks	seek	VERB
fcis-20720	10	12	information	information	NOUN
fcis-20720	10	13	patterns	pattern	NOUN
fcis-20720	10	14	,	,	PUNCT
fcis-20720	10	15	obtains	obtain	VERB
fcis-20720	10	16	knowledge	knowledge	NOUN
fcis-20720	10	17	and	and	CCONJ
fcis-20720	10	18	experience	experience	NOUN
fcis-20720	10	19	,	,	PUNCT
fcis-20720	10	20	and	and	CCONJ
fcis-20720	10	21	realizes	realize	VERB
fcis-20720	10	22	the	the	DET
fcis-20720	10	23	intelligent	intelligent	ADJ
fcis-20720	10	24	development	development	NOUN
fcis-20720	10	25	of	of	ADP
fcis-20720	10	26	computer	computer	NOUN
fcis-20720	10	27	technology	technology	NOUN
fcis-20720	10	28	.	.	PUNCT
fcis-20720	11	1	this	this	PRON
fcis-20720	11	2	enables	enable	VERB
fcis-20720	11	3	computers	computer	NOUN
fcis-20720	11	4	to	to	PART
fcis-20720	11	5	learn	learn	VERB
fcis-20720	11	6	autonomously	autonomously	ADV
fcis-20720	11	7	,	,	PUNCT
fcis-20720	11	8	adapt	adapt	VERB
fcis-20720	11	9	to	to	ADP
fcis-20720	11	10	the	the	DET
fcis-20720	11	11	environment	environment	NOUN
fcis-20720	11	12	,	,	PUNCT
fcis-20720	11	13	and	and	CCONJ
fcis-20720	11	14	take	take	VERB
fcis-20720	11	15	important	important	ADJ
fcis-20720	11	16	steps	step	NOUN
fcis-20720	11	17	towards	towards	ADP
fcis-20720	11	18	artificial	artificial	ADJ
fcis-20720	11	19	intelligence	intelligence	NOUN
fcis-20720	11	20	.	.	PUNCT
fcis-20720	12	1	the	the	DET
fcis-20720	12	2	intelligent	intelligent	ADJ
fcis-20720	12	3	progress	progress	NOUN
fcis-20720	12	4	of	of	ADP
fcis-20720	12	5	computer	computer	NOUN
fcis-20720	12	6	technology	technology	NOUN
fcis-20720	12	7	has	have	AUX
fcis-20720	12	8	not	not	PART
fcis-20720	12	9	only	only	ADV
fcis-20720	12	10	accelerated	accelerate	VERB
fcis-20720	12	11	the	the	DET
fcis-20720	12	12	speed	speed	NOUN
fcis-20720	12	13	of	of	ADP
fcis-20720	12	14	problem	problem	NOUN
fcis-20720	12	15	solving	solving	NOUN
fcis-20720	12	16	,	,	PUNCT
fcis-20720	12	17	but	but	CCONJ
fcis-20720	12	18	also	also	ADV
fcis-20720	12	19	provided	provide	VERB
fcis-20720	12	20	more	more	ADV
fcis-20720	12	21	efficient	efficient	ADJ
fcis-20720	12	22	solutions	solution	NOUN
fcis-20720	12	23	for	for	ADP
fcis-20720	12	24	various	various	ADJ
fcis-20720	12	25	industries	industry	NOUN
fcis-20720	12	26	.	.	PUNCT
fcis-20720	13	1	with	with	ADP
fcis-20720	13	2	the	the	DET
fcis-20720	13	3	continuous	continuous	ADJ
fcis-20720	13	4	evolution	evolution	NOUN
fcis-20720	13	5	of	of	ADP
fcis-20720	13	6	computer	computer	NOUN
fcis-20720	13	7	technology	technology	NOUN
fcis-20720	13	8	,	,	PUNCT
fcis-20720	13	9	intelligent	intelligent	ADJ
fcis-20720	13	10	computing	computing	NOUN
fcis-20720	13	11	will	will	AUX
fcis-20720	13	12	continue	continue	VERB
fcis-20720	13	13	to	to	PART
fcis-20720	13	14	lead	lead	VERB
fcis-20720	13	15	technological	technological	ADJ
fcis-20720	13	16	innovation	innovation	NOUN
fcis-20720	13	17	and	and	CCONJ
fcis-20720	13	18	lay	lie	VERB
fcis-20720	13	19	a	a	DET
fcis-20720	13	20	solid	solid	ADJ
fcis-20720	13	21	foundation	foundation	NOUN
fcis-20720	13	22	for	for	ADP
fcis-20720	13	23	future	future	ADJ
fcis-20720	13	24	artificial	artificial	ADJ
fcis-20720	13	25	intelligence	intelligence	NOUN
fcis-20720	13	26	applications	application	NOUN
fcis-20720	13	27	.	.	PUNCT
fcis-20720	14	1	this	this	DET
fcis-20720	14	2	development	development	NOUN
fcis-20720	14	3	trend	trend	NOUN
fcis-20720	14	4	indicates	indicate	VERB
fcis-20720	14	5	that	that	SCONJ
fcis-20720	14	6	computer	computer	NOUN
fcis-20720	14	7	technology	technology	NOUN
fcis-20720	14	8	will	will	AUX
fcis-20720	14	9	demonstrate	demonstrate	VERB
fcis-20720	14	10	strong	strong	ADJ
fcis-20720	14	11	potential	potential	NOUN
fcis-20720	14	12	for	for	ADP
fcis-20720	14	13	intelligent	intelligent	ADJ
fcis-20720	14	14	applications	application	NOUN
fcis-20720	14	15	in	in	ADP
fcis-20720	14	16	a	a	DET
fcis-20720	14	17	wider	wide	ADJ
fcis-20720	14	18	range	range	NOUN
fcis-20720	14	19	of	of	ADP
fcis-20720	14	20	fields	field	NOUN
fcis-20720	14	21	.	.	PUNCT
fcis-20720	15	1	2	2	X
fcis-20720	15	2	.	.	X
fcis-20720	15	3	the	the	DET
fcis-20720	15	4	evolution	evolution	NOUN
fcis-20720	15	5	of	of	ADP
fcis-20720	15	6	machine	machine	NOUN
fcis-20720	15	7	learning	learn	VERB
fcis-20720	15	8	although	although	SCONJ
fcis-20720	15	9	artificial	artificial	ADJ
fcis-20720	15	10	intelligence	intelligence	NOUN
fcis-20720	15	11	has	have	AUX
fcis-20720	15	12	not	not	PART
fcis-20720	15	13	only	only	ADV
fcis-20720	15	14	emerged	emerge	VERB
fcis-20720	15	15	in	in	ADP
fcis-20720	15	16	recent	recent	ADJ
fcis-20720	15	17	years	year	NOUN
fcis-20720	15	18	,	,	PUNCT
fcis-20720	15	19	it	it	PRON
fcis-20720	15	20	has	have	AUX
fcis-20720	15	21	always	always	ADV
fcis-20720	15	22	appeared	appear	VERB
fcis-20720	15	23	in	in	ADP
fcis-20720	15	24	the	the	DET
fcis-20720	15	25	public	public	ADJ
fcis-20720	15	26	eye	eye	NOUN
fcis-20720	15	27	as	as	ADP
fcis-20720	15	28	a	a	DET
fcis-20720	15	29	science	science	NOUN
fcis-20720	15	30	fiction	fiction	NOUN
fcis-20720	15	31	element	element	NOUN
fcis-20720	15	32	.	.	PUNCT
fcis-20720	16	1	since	since	SCONJ
fcis-20720	16	2	alphago	alphago	NOUN
fcis-20720	16	3	defeated	defeat	VERB
fcis-20720	16	4	li	li	PROPN
fcis-20720	16	5	shishi	shishi	PROPN
fcis-20720	16	6	,	,	PUNCT
fcis-20720	16	7	artificial	artificial	ADJ
fcis-20720	16	8	intelligence	intelligence	NOUN
fcis-20720	16	9	has	have	AUX
fcis-20720	16	10	suddenly	suddenly	ADV
fcis-20720	16	11	become	become	VERB
fcis-20720	16	12	a	a	DET
fcis-20720	16	13	topic	topic	NOUN
fcis-20720	16	14	of	of	ADP
fcis-20720	16	15	discussion	discussion	NOUN
fcis-20720	16	16	,	,	PUNCT
fcis-20720	16	17	as	as	SCONJ
fcis-20720	16	18	if	if	SCONJ
fcis-20720	16	19	humans	human	NOUN
fcis-20720	16	20	have	have	AUX
fcis-20720	16	21	created	create	VERB
fcis-20720	16	22	machines	machine	NOUN
fcis-20720	16	23	that	that	PRON
fcis-20720	16	24	surpass	surpass	VERB
fcis-20720	16	25	human	human	ADJ
fcis-20720	16	26	intelligence	intelligence	NOUN
fcis-20720	16	27	.	.	PUNCT
fcis-20720	17	1	the	the	DET
fcis-20720	17	2	core	core	NOUN
fcis-20720	17	3	technology	technology	NOUN
fcis-20720	17	4	of	of	ADP
fcis-20720	17	5	artificial	artificial	ADJ
fcis-20720	17	6	intelligence	intelligence	NOUN
fcis-20720	17	7	,	,	PUNCT
fcis-20720	17	8	machine	machine	NOUN
fcis-20720	17	9	learning	learning	NOUN
fcis-20720	17	10	and	and	CCONJ
fcis-20720	17	11	its	its	PRON
fcis-20720	17	12	subfields	subfield	NOUN
fcis-20720	17	13	of	of	ADP
fcis-20720	17	14	deep	deep	ADJ
fcis-20720	17	15	learning	learning	NOUN
fcis-20720	17	16	,	,	PUNCT
fcis-20720	17	17	have	have	AUX
fcis-20720	17	18	become	become	VERB
fcis-20720	17	19	the	the	DET
fcis-20720	17	20	apple	apple	NOUN
fcis-20720	17	21	of	of	ADP
fcis-20720	17	22	people	people	NOUN
fcis-20720	17	23	's	's	PART
fcis-20720	17	24	eyes	eye	NOUN
fcis-20720	17	25	for	for	ADP
fcis-20720	17	26	a	a	DET
fcis-20720	17	27	while	while	NOUN
fcis-20720	17	28	.	.	PUNCT
fcis-20720	18	1	herb	herb	NOUN
fcis-20720	18	2	proposed	propose	VERB
fcis-20720	18	3	a	a	DET
fcis-20720	18	4	learning	learn	VERB
fcis-20720	18	5	approach	approach	NOUN
fcis-20720	18	6	based	base	VERB
fcis-20720	18	7	on	on	ADP
fcis-20720	18	8	neuropsychology	neuropsychology	NOUN
fcis-20720	18	9	in	in	ADP
fcis-20720	18	10	1949	1949	NUM
fcis-20720	18	11	,	,	PUNCT
fcis-20720	18	12	which	which	PRON
fcis-20720	18	13	is	be	AUX
fcis-20720	18	14	known	know	VERB
fcis-20720	18	15	as	as	ADP
fcis-20720	18	16	the	the	DET
fcis-20720	18	17	herb	herb	NOUN
fcis-20720	18	18	learning	learn	VERB
fcis-20720	18	19	theory	theory	NOUN
fcis-20720	18	20	.	.	PUNCT
fcis-20720	19	1	the	the	DET
fcis-20720	19	2	general	general	ADJ
fcis-20720	19	3	description	description	NOUN
fcis-20720	19	4	is	be	AUX
fcis-20720	19	5	:	:	PUNCT
fcis-20720	19	6	assuming	assume	VERB
fcis-20720	19	7	that	that	SCONJ
fcis-20720	19	8	the	the	DET
fcis-20720	19	9	persistence	persistence	NOUN
fcis-20720	19	10	or	or	CCONJ
fcis-20720	19	11	repeatability	repeatability	NOUN
fcis-20720	19	12	of	of	ADP
fcis-20720	19	13	reflex	reflex	ADJ
fcis-20720	19	14	activity	activity	NOUN
fcis-20720	19	15	leads	lead	VERB
fcis-20720	19	16	to	to	ADP
fcis-20720	19	17	sustained	sustained	ADJ
fcis-20720	19	18	changes	change	NOUN
fcis-20720	19	19	in	in	ADP
fcis-20720	19	20	cells	cell	NOUN
fcis-20720	19	21	and	and	CCONJ
fcis-20720	19	22	increases	increase	VERB
fcis-20720	19	23	their	their	PRON
fcis-20720	19	24	stability	stability	NOUN
fcis-20720	19	25	,	,	PUNCT
fcis-20720	19	26	when	when	SCONJ
fcis-20720	19	27	neuron	neuron	VERB
fcis-20720	19	28	a	a	PRON
fcis-20720	19	29	can	can	AUX
fcis-20720	19	30	continuously	continuously	ADV
fcis-20720	19	31	or	or	CCONJ
fcis-20720	19	32	repeatedly	repeatedly	ADV
fcis-20720	19	33	stimulate	stimulate	VERB
fcis-20720	19	34	neuron	neuron	PROPN
fcis-20720	19	35	b	b	NOUN
fcis-20720	19	36	,	,	PUNCT
fcis-20720	19	37	the	the	DET
fcis-20720	19	38	growth	growth	NOUN
fcis-20720	19	39	or	or	CCONJ
fcis-20720	19	40	metabolic	metabolic	NOUN
fcis-20720	19	41	processes	process	NOUN
fcis-20720	19	42	of	of	ADP
fcis-20720	19	43	one	one	NUM
fcis-20720	19	44	or	or	CCONJ
fcis-20720	19	45	two	two	NUM
fcis-20720	19	46	neurons	neuron	NOUN
fcis-20720	19	47	will	will	AUX
fcis-20720	19	48	change	change	VERB
fcis-20720	19	49	.	.	PUNCT
fcis-20720	20	1	from	from	ADP
fcis-20720	20	2	the	the	DET
fcis-20720	20	3	perspective	perspective	NOUN
fcis-20720	20	4	of	of	ADP
fcis-20720	20	5	artificial	artificial	ADJ
fcis-20720	20	6	neurons	neuron	NOUN
fcis-20720	20	7	or	or	CCONJ
fcis-20720	20	8	artificial	artificial	ADJ
fcis-20720	20	9	neural	neural	ADJ
fcis-20720	20	10	networks	network	NOUN
fcis-20720	20	11	,	,	PUNCT
fcis-20720	20	12	this	this	DET
fcis-20720	20	13	learning	learning	NOUN
fcis-20720	20	14	theory	theory	NOUN
fcis-20720	20	15	simply	simply	ADV
fcis-20720	20	16	explains	explain	VERB
fcis-20720	20	17	the	the	DET
fcis-20720	20	18	correlation	correlation	NOUN
fcis-20720	20	19	relationship	relationship	NOUN
fcis-20720	20	20	between	between	ADP
fcis-20720	20	21	nodes	node	NOUN
fcis-20720	20	22	in	in	ADP
fcis-20720	20	23	recurrent	recurrent	ADJ
fcis-20720	20	24	neural	neural	ADJ
fcis-20720	20	25	networks	network	NOUN
fcis-20720	20	26	(	(	PUNCT
fcis-20720	20	27	rnns	rnns	PROPN
fcis-20720	20	28	)	)	PUNCT
fcis-20720	20	29	,	,	PUNCT
fcis-20720	20	30	that	that	ADV
fcis-20720	20	31	is	is	ADV
fcis-20720	20	32	,	,	PUNCT
fcis-20720	20	33	when	when	SCONJ
fcis-20720	20	34	two	two	NUM
fcis-20720	20	35	nodes	node	NOUN
fcis-20720	20	36	change	change	VERB
fcis-20720	20	37	simultaneously	simultaneously	ADV
fcis-20720	20	38	,	,	PUNCT
fcis-20720	20	39	there	there	PRON
fcis-20720	20	40	is	be	VERB
fcis-20720	20	41	a	a	DET
fcis-20720	20	42	strong	strong	ADJ
fcis-20720	20	43	positive	positive	ADJ
fcis-20720	20	44	correlation	correlation	NOUN
fcis-20720	20	45	between	between	ADP
fcis-20720	20	46	nodes	node	NOUN
fcis-20720	20	47	;	;	PUNCT
fcis-20720	20	48	if	if	SCONJ
fcis-20720	20	49	the	the	DET
fcis-20720	20	50	two	two	NUM
fcis-20720	20	51	changes	change	NOUN
fcis-20720	20	52	are	be	AUX
fcis-20720	20	53	opposite	opposite	ADJ
fcis-20720	20	54	,	,	PUNCT
fcis-20720	20	55	it	it	PRON
fcis-20720	20	56	indicates	indicate	VERB
fcis-20720	20	57	a	a	DET
fcis-20720	20	58	negative	negative	ADJ
fcis-20720	20	59	weight	weight	NOUN
fcis-20720	20	60	correlation	correlation	NOUN
fcis-20720	20	61	.	.	PUNCT
fcis-20720	21	1	in	in	ADP
fcis-20720	21	2	1950	1950	NUM
fcis-20720	21	3	,	,	PUNCT
fcis-20720	21	4	alan	alan	PROPN
fcis-20720	21	5	turing	turing	PROPN
fcis-20720	21	6	created	create	VERB
fcis-20720	21	7	the	the	DET
fcis-20720	21	8	turing	ture	VERB
fcis-20720	21	9	test	test	NOUN
fcis-20720	21	10	to	to	PART
fcis-20720	21	11	determine	determine	VERB
fcis-20720	21	12	whether	whether	SCONJ
fcis-20720	21	13	a	a	DET
fcis-20720	21	14	computer	computer	NOUN
fcis-20720	21	15	is	be	AUX
fcis-20720	21	16	intelligent	intelligent	ADJ
fcis-20720	21	17	.	.	PUNCT
fcis-20720	22	1	the	the	DET
fcis-20720	22	2	turing	ture	VERB
fcis-20720	22	3	test	test	NOUN
fcis-20720	22	4	suggests	suggest	VERB
fcis-20720	22	5	that	that	SCONJ
fcis-20720	22	6	if	if	SCONJ
fcis-20720	22	7	a	a	DET
fcis-20720	22	8	machine	machine	NOUN
fcis-20720	22	9	is	be	AUX
fcis-20720	22	10	able	able	ADJ
fcis-20720	22	11	to	to	PART
fcis-20720	22	12	engage	engage	VERB
fcis-20720	22	13	in	in	ADP
fcis-20720	22	14	dialogue	dialogue	NOUN
fcis-20720	22	15	with	with	ADP
fcis-20720	22	16	humans	human	NOUN
fcis-20720	22	17	,	,	PUNCT
fcis-20720	22	18	but	but	CCONJ
fcis-20720	22	19	can	can	AUX
fcis-20720	22	20	not	not	PART
fcis-20720	22	21	be	be	AUX
fcis-20720	22	22	identified	identify	VERB
fcis-20720	22	23	as	as	ADP
fcis-20720	22	24	its	its	PRON
fcis-20720	22	25	machine	machine	NOUN
fcis-20720	22	26	identity	identity	NOUN
fcis-20720	22	27	,	,	PUNCT
fcis-20720	22	28	then	then	ADV
fcis-20720	22	29	the	the	DET
fcis-20720	22	30	machine	machine	NOUN
fcis-20720	22	31	is	be	AUX
fcis-20720	22	32	considered	consider	VERB
fcis-20720	22	33	intelligent	intelligent	ADJ
fcis-20720	22	34	.	.	PUNCT
fcis-20720	23	1	this	this	DET
fcis-20720	23	2	simplification	simplification	NOUN
fcis-20720	23	3	enables	enable	VERB
fcis-20720	23	4	turing	ture	VERB
fcis-20720	23	5	to	to	PART
fcis-20720	23	6	convincingly	convincingly	ADV
fcis-20720	23	7	demonstrate	demonstrate	VERB
fcis-20720	23	8	that	that	SCONJ
fcis-20720	23	9	“	"	PUNCT
fcis-20720	23	10	thinking	think	VERB
fcis-20720	23	11	machines	machine	NOUN
fcis-20720	23	12	”	"	PUNCT
fcis-20720	23	13	are	be	AUX
fcis-20720	23	14	possible	possible	ADJ
fcis-20720	23	15	.	.	PUNCT
fcis-20720	24	1	figure	figure	NOUN
fcis-20720	24	2	1	1	NUM
fcis-20720	24	3	.	.	PUNCT
fcis-20720	25	1	turing	ture	VERB
fcis-20720	25	2	test	test	NOUN
fcis-20720	25	3	in	in	ADP
fcis-20720	25	4	1952	1952	NUM
fcis-20720	25	5	,	,	PUNCT
fcis-20720	25	6	ibm	ibm	PROPN
fcis-20720	25	7	scientist	scientist	NOUN
fcis-20720	25	8	arthur	arthur	PROPN
fcis-20720	25	9	samuel	samuel	PROPN
fcis-20720	25	10	developed	develop	VERB
fcis-20720	25	11	a	a	DET
fcis-20720	25	12	checkers	checker	NOUN
fcis-20720	25	13	program	program	NOUN
fcis-20720	25	14	.	.	PUNCT
fcis-20720	26	1	this	this	DET
fcis-20720	26	2	program	program	NOUN
fcis-20720	26	3	can	can	AUX
fcis-20720	26	4	provide	provide	VERB
fcis-20720	26	5	better	well	ADJ
fcis-20720	26	6	guidance	guidance	NOUN
fcis-20720	26	7	for	for	ADP
fcis-20720	26	8	subsequent	subsequent	ADJ
fcis-20720	26	9	actions	action	NOUN
fcis-20720	26	10	by	by	ADP
fcis-20720	26	11	observing	observe	VERB
fcis-20720	26	12	the	the	DET
fcis-20720	26	13	current	current	ADJ
fcis-20720	26	14	position	position	NOUN
fcis-20720	26	15	and	and	CCONJ
fcis-20720	26	16	learning	learn	VERB
fcis-20720	26	17	an	an	DET
fcis-20720	26	18	implicit	implicit	ADJ
fcis-20720	26	19	model	model	NOUN
fcis-20720	26	20	.	.	PUNCT
fcis-20720	27	1	samuel	samuel	PROPN
fcis-20720	27	2	discovered	discover	VERB
fcis-20720	27	3	that	that	SCONJ
fcis-20720	27	4	as	as	SCONJ
fcis-20720	27	5	the	the	DET
fcis-20720	27	6	running	running	NOUN
fcis-20720	27	7	time	time	NOUN
fcis-20720	27	8	of	of	ADP
fcis-20720	27	9	the	the	DET
fcis-20720	27	10	game	game	NOUN
fcis-20720	27	11	program	program	NOUN
fcis-20720	27	12	increased	increase	VERB
fcis-20720	27	13	,	,	PUNCT
fcis-20720	27	14	it	it	PRON
fcis-20720	27	15	could	could	AUX
fcis-20720	27	16	achieve	achieve	VERB
fcis-20720	27	17	better	well	ADJ
fcis-20720	27	18	and	and	CCONJ
fcis-20720	27	19	better	well	ADJ
fcis-20720	27	20	follow	follow	VERB
fcis-20720	27	21	-	-	PUNCT
fcis-20720	27	22	up	up	ADP
fcis-20720	27	23	guidance	guidance	NOUN
fcis-20720	27	24	.	.	PUNCT
fcis-20720	28	1	through	through	ADP
fcis-20720	28	2	this	this	DET
fcis-20720	28	3	program	program	NOUN
fcis-20720	28	4	,	,	PUNCT
fcis-20720	28	5	samuel	samuel	PROPN
fcis-20720	28	6	refuted	refute	VERB
fcis-20720	28	7	providence	providence	NOUN
fcis-20720	28	8	's	's	PART
fcis-20720	28	9	notion	notion	NOUN
fcis-20720	28	10	that	that	SCONJ
fcis-20720	28	11	machines	machine	NOUN
fcis-20720	28	12	can	can	AUX
fcis-20720	28	13	not	not	PART
fcis-20720	28	14	surpass	surpass	VERB
fcis-20720	28	15	humans	human	NOUN
fcis-20720	28	16	,	,	PUNCT
fcis-20720	28	17	writing	write	VERB
fcis-20720	28	18	code	code	NOUN
fcis-20720	28	19	and	and	CCONJ
fcis-20720	28	20	learning	learn	VERB
fcis-20720	28	21	like	like	ADP
fcis-20720	28	22	humans	human	NOUN
fcis-20720	28	23	.	.	PUNCT
fcis-20720	29	1	he	he	PRON
fcis-20720	29	2	coined	coin	VERB
fcis-20720	29	3	the	the	DET
fcis-20720	29	4	term	term	NOUN
fcis-20720	29	5	“	"	PUNCT
fcis-20720	29	6	machine	machine	NOUN
fcis-20720	29	7	learning	learning	NOUN
fcis-20720	29	8	”	"	PUNCT
fcis-20720	29	9	and	and	CCONJ
fcis-20720	29	10	defined	define	VERB
fcis-20720	29	11	it	it	PRON
fcis-20720	29	12	as	as	ADP
fcis-20720	29	13	a	a	DET
fcis-20720	29	14	research	research	NOUN
fcis-20720	29	15	field	field	NOUN
fcis-20720	29	16	that	that	PRON
fcis-20720	29	17	can	can	AUX
fcis-20720	29	18	provide	provide	VERB
fcis-20720	29	19	computer	computer	NOUN
fcis-20720	29	20	capabilities	capability	NOUN
fcis-20720	29	21	without	without	ADP
fcis-20720	29	22	explicit	explicit	ADJ
fcis-20720	29	23	programming	programming	NOUN
fcis-20720	29	24	.	.	PUNCT
fcis-20720	30	1	in	in	ADP
fcis-20720	30	2	1957	1957	NUM
fcis-20720	30	3	,	,	PUNCT
fcis-20720	30	4	rosen	rosen	PROPN
fcis-20720	30	5	blatter	blatter	PROPN
fcis-20720	30	6	proposed	propose	VERB
fcis-20720	30	7	the	the	DET
fcis-20720	30	8	second	second	ADJ
fcis-20720	30	9	model	model	NOUN
fcis-20720	30	10	based	base	VERB
fcis-20720	30	11	on	on	ADP
fcis-20720	30	12	the	the	DET
fcis-20720	30	13	background	background	NOUN
fcis-20720	30	14	of	of	ADP
fcis-20720	30	15	neurosensory	neurosensory	ADJ
fcis-20720	30	16	science	science	NOUN
fcis-20720	30	17	,	,	PUNCT
fcis-20720	30	18	which	which	PRON
fcis-20720	30	19	is	be	AUX
fcis-20720	30	20	very	very	ADV
fcis-20720	30	21	similar	similar	ADJ
fcis-20720	30	22	to	to	ADP
fcis-20720	30	23	today	today	NOUN
fcis-20720	30	24	's	's	PART
fcis-20720	30	25	machine	machine	NOUN
fcis-20720	30	26	learning	learning	NOUN
fcis-20720	30	27	model	model	NOUN
fcis-20720	30	28	.	.	PUNCT
fcis-20720	31	1	this	this	PRON
fcis-20720	31	2	was	be	AUX
fcis-20720	31	3	a	a	DET
fcis-20720	31	4	very	very	ADV
fcis-20720	31	5	exciting	exciting	ADJ
fcis-20720	31	6	discovery	discovery	NOUN
fcis-20720	31	7	at	at	ADP
fcis-20720	31	8	the	the	DET
fcis-20720	31	9	time	time	NOUN
fcis-20720	31	10	,	,	PUNCT
fcis-20720	31	11	which	which	PRON
fcis-20720	31	12	was	be	AUX
fcis-20720	31	13	more	more	ADV
fcis-20720	31	14	applicable	applicable	ADJ
fcis-20720	31	15	70	70	NUM
fcis-20720	31	16	than	than	ADP
fcis-20720	31	17	herb	herb	NOUN
fcis-20720	31	18	's	's	PART
fcis-20720	31	19	ideas	idea	NOUN
fcis-20720	31	20	.	.	PUNCT
fcis-20720	32	1	based	base	VERB
fcis-20720	32	2	on	on	ADP
fcis-20720	32	3	this	this	DET
fcis-20720	32	4	model	model	NOUN
fcis-20720	32	5	,	,	PUNCT
fcis-20720	32	6	rosen	rosen	PROPN
fcis-20720	32	7	bratt	bratt	PROPN
fcis-20720	32	8	designed	design	VERB
fcis-20720	32	9	the	the	DET
fcis-20720	32	10	first	first	ADJ
fcis-20720	32	11	computer	computer	NOUN
fcis-20720	32	12	neural	neural	ADJ
fcis-20720	32	13	network	network	NOUN
fcis-20720	32	14	the	the	DET
fcis-20720	32	15	perceptron	perceptron	PROPN
fcis-20720	32	16	,	,	PUNCT
fcis-20720	32	17	which	which	PRON
fcis-20720	32	18	simulates	simulate	VERB
fcis-20720	32	19	the	the	DET
fcis-20720	32	20	operation	operation	NOUN
fcis-20720	32	21	of	of	ADP
fcis-20720	32	22	the	the	DET
fcis-20720	32	23	human	human	ADJ
fcis-20720	32	24	brain	brain	NOUN
fcis-20720	32	25	.	.	PUNCT
fcis-20720	33	1	in	in	ADP
fcis-20720	33	2	1967	1967	NUM
fcis-20720	33	3	,	,	PUNCT
fcis-20720	33	4	the	the	DET
fcis-20720	33	5	nearest	near	ADJ
fcis-20720	33	6	neighbor	neighbor	NOUN
fcis-20720	33	7	algorithm	algorithm	NOUN
fcis-20720	33	8	emerged	emerge	VERB
fcis-20720	33	9	,	,	PUNCT
fcis-20720	33	10	allowing	allow	VERB
fcis-20720	33	11	computers	computer	NOUN
fcis-20720	33	12	to	to	PART
fcis-20720	33	13	perform	perform	VERB
fcis-20720	33	14	simple	simple	ADJ
fcis-20720	33	15	pattern	pattern	NOUN
fcis-20720	33	16	recognition	recognition	NOUN
fcis-20720	33	17	.	.	PUNCT
fcis-20720	34	1	the	the	DET
fcis-20720	34	2	core	core	ADJ
fcis-20720	34	3	idea	idea	NOUN
fcis-20720	34	4	of	of	ADP
fcis-20720	34	5	the	the	DET
fcis-20720	34	6	knn	knn	PROPN
fcis-20720	34	7	algorithm	algorithm	PROPN
fcis-20720	34	8	is	be	AUX
fcis-20720	34	9	that	that	SCONJ
fcis-20720	34	10	if	if	SCONJ
fcis-20720	34	11	most	most	ADJ
fcis-20720	34	12	of	of	ADP
fcis-20720	34	13	the	the	DET
fcis-20720	34	14	k	k	PROPN
fcis-20720	34	15	nearest	near	ADJ
fcis-20720	34	16	samples	sample	NOUN
fcis-20720	34	17	in	in	ADP
fcis-20720	34	18	the	the	DET
fcis-20720	34	19	feature	feature	NOUN
fcis-20720	34	20	space	space	NOUN
fcis-20720	34	21	belong	belong	VERB
fcis-20720	34	22	to	to	ADP
fcis-20720	34	23	a	a	DET
fcis-20720	34	24	certain	certain	ADJ
fcis-20720	34	25	category	category	NOUN
fcis-20720	34	26	,	,	PUNCT
fcis-20720	34	27	then	then	ADV
fcis-20720	34	28	the	the	DET
fcis-20720	34	29	sample	sample	NOUN
fcis-20720	34	30	also	also	ADV
fcis-20720	34	31	belongs	belong	VERB
fcis-20720	34	32	to	to	ADP
fcis-20720	34	33	that	that	DET
fcis-20720	34	34	category	category	NOUN
fcis-20720	34	35	and	and	CCONJ
fcis-20720	34	36	has	have	VERB
fcis-20720	34	37	the	the	DET
fcis-20720	34	38	characteristics	characteristic	NOUN
fcis-20720	34	39	of	of	ADP
fcis-20720	34	40	the	the	DET
fcis-20720	34	41	sample	sample	NOUN
fcis-20720	34	42	in	in	ADP
fcis-20720	34	43	that	that	DET
fcis-20720	34	44	category	category	NOUN
fcis-20720	34	45	.	.	PUNCT
fcis-20720	35	1	this	this	PRON
fcis-20720	35	2	is	be	AUX
fcis-20720	35	3	the	the	DET
fcis-20720	35	4	socalled	socalled	ADJ
fcis-20720	35	5	“	"	PUNCT
fcis-20720	35	6	minority	minority	NOUN
fcis-20720	35	7	obeys	obey	NOUN
fcis-20720	35	8	majority	majority	NOUN
fcis-20720	35	9	”	"	PUNCT
fcis-20720	35	10	principle	principle	NOUN
fcis-20720	35	11	.	.	PUNCT
fcis-20720	36	1	figure	figure	NOUN
fcis-20720	36	2	2	2	NUM
fcis-20720	36	3	.	.	PUNCT
fcis-20720	37	1	knn	knn	PROPN
fcis-20720	37	2	from	from	ADP
fcis-20720	37	3	the	the	DET
fcis-20720	37	4	mid-1960s	mid-1960	NOUN
fcis-20720	37	5	to	to	ADP
fcis-20720	37	6	the	the	DET
fcis-20720	37	7	late	late	ADJ
fcis-20720	37	8	1970s	1970	NOUN
fcis-20720	37	9	,	,	PUNCT
fcis-20720	37	10	the	the	DET
fcis-20720	37	11	development	development	NOUN
fcis-20720	37	12	of	of	ADP
fcis-20720	37	13	machine	machine	NOUN
fcis-20720	37	14	learning	learning	NOUN
fcis-20720	37	15	was	be	AUX
fcis-20720	37	16	almost	almost	ADV
fcis-20720	37	17	at	at	ADP
fcis-20720	37	18	a	a	DET
fcis-20720	37	19	standstill	standstill	NOUN
fcis-20720	37	20	.	.	PUNCT
fcis-20720	38	1	both	both	DET
fcis-20720	38	2	theoretical	theoretical	ADJ
fcis-20720	38	3	research	research	NOUN
fcis-20720	38	4	and	and	CCONJ
fcis-20720	38	5	computer	computer	NOUN
fcis-20720	38	6	hardware	hardware	NOUN
fcis-20720	38	7	limitations	limitation	NOUN
fcis-20720	38	8	have	have	AUX
fcis-20720	38	9	encountered	encounter	VERB
fcis-20720	38	10	significant	significant	ADJ
fcis-20720	38	11	bottlenecks	bottleneck	NOUN
fcis-20720	38	12	in	in	ADP
fcis-20720	38	13	the	the	DET
fcis-20720	38	14	development	development	NOUN
fcis-20720	38	15	of	of	ADP
fcis-20720	38	16	the	the	DET
fcis-20720	38	17	entire	entire	ADJ
fcis-20720	38	18	field	field	NOUN
fcis-20720	38	19	of	of	ADP
fcis-20720	38	20	artificial	artificial	ADJ
fcis-20720	38	21	intelligence	intelligence	NOUN
fcis-20720	38	22	.	.	PUNCT
fcis-20720	39	1	although	although	SCONJ
fcis-20720	39	2	winston	winston	PROPN
fcis-20720	39	3	's	's	PART
fcis-20720	39	4	structural	structural	ADJ
fcis-20720	39	5	learning	learning	NOUN
fcis-20720	39	6	system	system	NOUN
fcis-20720	39	7	and	and	CCONJ
fcis-20720	39	8	hayes	hayes	PROPN
fcis-20720	39	9	roth	roth	PROPN
fcis-20720	39	10	's	's	PART
fcis-20720	39	11	logic	logic	NOUN
fcis-20720	39	12	based	base	VERB
fcis-20720	39	13	inductive	inductive	ADJ
fcis-20720	39	14	learning	learning	NOUN
fcis-20720	39	15	system	system	NOUN
fcis-20720	39	16	made	make	VERB
fcis-20720	39	17	significant	significant	ADJ
fcis-20720	39	18	progress	progress	NOUN
fcis-20720	39	19	during	during	ADP
fcis-20720	39	20	this	this	DET
fcis-20720	39	21	period	period	NOUN
fcis-20720	39	22	,	,	PUNCT
fcis-20720	39	23	they	they	PRON
fcis-20720	39	24	could	could	AUX
fcis-20720	39	25	only	only	ADV
fcis-20720	39	26	learn	learn	VERB
fcis-20720	39	27	a	a	DET
fcis-20720	39	28	single	single	ADJ
fcis-20720	39	29	concept	concept	NOUN
fcis-20720	39	30	and	and	CCONJ
fcis-20720	39	31	were	be	AUX
fcis-20720	39	32	not	not	PART
fcis-20720	39	33	put	put	VERB
fcis-20720	39	34	into	into	ADP
fcis-20720	39	35	practical	practical	ADJ
fcis-20720	39	36	application	application	NOUN
fcis-20720	39	37	.	.	PUNCT
fcis-20720	40	1	however	however	ADV
fcis-20720	40	2	,	,	PUNCT
fcis-20720	40	3	neural	neural	ADJ
fcis-20720	40	4	network	network	NOUN
fcis-20720	40	5	learning	learn	VERB
fcis-20720	40	6	machines	machine	NOUN
fcis-20720	40	7	have	have	AUX
fcis-20720	40	8	entered	enter	VERB
fcis-20720	40	9	a	a	DET
fcis-20720	40	10	downturn	downturn	NOUN
fcis-20720	40	11	due	due	ADP
fcis-20720	40	12	to	to	ADP
fcis-20720	40	13	theoretical	theoretical	ADJ
fcis-20720	40	14	defects	defect	NOUN
fcis-20720	40	15	and	and	CCONJ
fcis-20720	40	16	have	have	AUX
fcis-20720	40	17	not	not	PART
fcis-20720	40	18	achieved	achieve	VERB
fcis-20720	40	19	the	the	DET
fcis-20720	40	20	expected	expect	VERB
fcis-20720	40	21	results	result	NOUN
fcis-20720	40	22	.	.	PUNCT
fcis-20720	41	1	figure	figure	VERB
fcis-20720	41	2	3	3	NUM
fcis-20720	41	3	.	.	PUNCT
fcis-20720	42	1	multi	multi	ADJ
fcis-20720	42	2	-	-	ADJ
fcis-20720	42	3	layer	layer	ADJ
fcis-20720	42	4	perceptron	perceptron	PROPN
fcis-20720	42	5	model	model	PROPN
fcis-20720	42	6	paul	paul	PROPN
fcis-20720	42	7	j.	j.	PROPN
fcis-20720	42	8	werbos	werbos	PROPN
fcis-20720	42	9	specifically	specifically	ADV
fcis-20720	42	10	proposed	propose	VERB
fcis-20720	42	11	a	a	DET
fcis-20720	42	12	multi	multi	ADJ
fcis-20720	42	13	-	-	ADJ
fcis-20720	42	14	layer	layer	ADJ
fcis-20720	42	15	perceptron	perceptron	PROPN
fcis-20720	42	16	model	model	NOUN
fcis-20720	42	17	(	(	PUNCT
fcis-20720	42	18	figure	figure	NOUN
fcis-20720	42	19	3	3	NUM
fcis-20720	42	20	)	)	PUNCT
fcis-20720	42	21	in	in	ADP
fcis-20720	42	22	the	the	DET
fcis-20720	42	23	neural	neural	ADJ
fcis-20720	42	24	network	network	NOUN
fcis-20720	42	25	backpropagation	backpropagation	NOUN
fcis-20720	42	26	(	(	PUNCT
fcis-20720	42	27	bp	bp	PROPN
fcis-20720	42	28	)	)	PUNCT
fcis-20720	42	29	algorithm	algorithm	NOUN
fcis-20720	42	30	in	in	ADP
fcis-20720	42	31	1981	1981	NUM
fcis-20720	42	32	.	.	PUNCT
fcis-20720	43	1	although	although	SCONJ
fcis-20720	43	2	the	the	DET
fcis-20720	43	3	bp	bp	PROPN
fcis-20720	43	4	algorithm	algorithm	PROPN
fcis-20720	43	5	was	be	AUX
fcis-20720	43	6	proposed	propose	VERB
fcis-20720	43	7	under	under	ADP
fcis-20720	43	8	the	the	DET
fcis-20720	43	9	name	name	NOUN
fcis-20720	43	10	“	"	PUNCT
fcis-20720	43	11	reverse	reverse	ADJ
fcis-20720	43	12	mode	mode	NOUN
fcis-20720	43	13	of	of	ADP
fcis-20720	43	14	automatic	automatic	ADJ
fcis-20720	43	15	differentiation	differentiation	NOUN
fcis-20720	43	16	”	"	PUNCT
fcis-20720	43	17	as	as	ADV
fcis-20720	43	18	early	early	ADV
fcis-20720	43	19	as	as	ADP
fcis-20720	43	20	1970	1970	NUM
fcis-20720	43	21	,	,	PUNCT
fcis-20720	43	22	it	it	PRON
fcis-20720	43	23	was	be	AUX
fcis-20720	43	24	not	not	PART
fcis-20720	43	25	until	until	ADP
fcis-20720	43	26	then	then	ADV
fcis-20720	43	27	that	that	SCONJ
fcis-20720	43	28	it	it	PRON
fcis-20720	43	29	truly	truly	ADV
fcis-20720	43	30	took	take	VERB
fcis-20720	43	31	effect	effect	NOUN
fcis-20720	43	32	,	,	PUNCT
fcis-20720	43	33	and	and	CCONJ
fcis-20720	43	34	to	to	ADP
fcis-20720	43	35	this	this	DET
fcis-20720	43	36	day	day	NOUN
fcis-20720	43	37	,	,	PUNCT
fcis-20720	43	38	the	the	DET
fcis-20720	43	39	bp	bp	PROPN
fcis-20720	43	40	algorithm	algorithm	PROPN
fcis-20720	43	41	remains	remain	VERB
fcis-20720	43	42	a	a	DET
fcis-20720	43	43	key	key	ADJ
fcis-20720	43	44	factor	factor	NOUN
fcis-20720	43	45	in	in	ADP
fcis-20720	43	46	neural	neural	ADJ
fcis-20720	43	47	network	network	NOUN
fcis-20720	43	48	architecture	architecture	NOUN
fcis-20720	43	49	.	.	PUNCT
fcis-20720	44	1	with	with	ADP
fcis-20720	44	2	these	these	DET
fcis-20720	44	3	new	new	ADJ
fcis-20720	44	4	ideas	idea	NOUN
fcis-20720	44	5	,	,	PUNCT
fcis-20720	44	6	research	research	NOUN
fcis-20720	44	7	on	on	ADP
fcis-20720	44	8	neural	neural	ADJ
fcis-20720	44	9	networks	network	NOUN
fcis-20720	44	10	has	have	AUX
fcis-20720	44	11	accelerated	accelerate	VERB
fcis-20720	44	12	again	again	ADV
fcis-20720	44	13	.	.	PUNCT
fcis-20720	45	1	in	in	ADP
fcis-20720	45	2	another	another	DET
fcis-20720	45	3	lineage	lineage	NOUN
fcis-20720	45	4	,	,	PUNCT
fcis-20720	45	5	quinlan	quinlan	PROPN
fcis-20720	45	6	proposed	propose	VERB
fcis-20720	45	7	a	a	DET
fcis-20720	45	8	very	very	ADV
fcis-20720	45	9	famous	famous	ADJ
fcis-20720	45	10	machine	machine	NOUN
fcis-20720	45	11	learning	learn	VERB
fcis-20720	45	12	algorithm	algorithm	NOUN
fcis-20720	45	13	in	in	ADP
fcis-20720	45	14	1986	1986	NUM
fcis-20720	45	15	,	,	PUNCT
fcis-20720	45	16	which	which	PRON
fcis-20720	45	17	we	we	PRON
fcis-20720	45	18	call	call	VERB
fcis-20720	45	19	“	"	PUNCT
fcis-20720	45	20	decision	decision	NOUN
fcis-20720	45	21	tree	tree	NOUN
fcis-20720	45	22	”	"	PUNCT
fcis-20720	45	23	,	,	PUNCT
fcis-20720	45	24	more	more	ADV
fcis-20720	45	25	specifically	specifically	ADV
fcis-20720	45	26	the	the	DET
fcis-20720	45	27	id3	id3	NOUN
fcis-20720	45	28	algorithm	algorithm	NOUN
fcis-20720	45	29	.	.	PUNCT
fcis-20720	46	1	this	this	PRON
fcis-20720	46	2	is	be	AUX
fcis-20720	46	3	another	another	DET
fcis-20720	46	4	breakthrough	breakthrough	ADJ
fcis-20720	46	5	point	point	NOUN
fcis-20720	46	6	for	for	ADP
fcis-20720	46	7	mainstream	mainstream	NOUN
fcis-20720	46	8	machine	machine	NOUN
fcis-20720	46	9	learning	learn	VERB
fcis-20720	46	10	algorithms	algorithm	NOUN
fcis-20720	46	11	.	.	PUNCT
fcis-20720	47	1	in	in	ADP
fcis-20720	47	2	addition	addition	NOUN
fcis-20720	47	3	,	,	PUNCT
fcis-20720	47	4	the	the	DET
fcis-20720	47	5	id3	id3	NOUN
fcis-20720	47	6	algorithm	algorithm	NOUN
fcis-20720	47	7	has	have	AUX
fcis-20720	47	8	also	also	ADV
fcis-20720	47	9	been	be	AUX
fcis-20720	47	10	released	release	VERB
fcis-20720	47	11	as	as	ADP
fcis-20720	47	12	a	a	DET
fcis-20720	47	13	software	software	NOUN
fcis-20720	47	14	that	that	PRON
fcis-20720	47	15	can	can	AUX
fcis-20720	47	16	find	find	VERB
fcis-20720	47	17	more	more	ADJ
fcis-20720	47	18	real	real	ADJ
fcis-20720	47	19	-	-	PUNCT
fcis-20720	47	20	life	life	NOUN
fcis-20720	47	21	cases	case	NOUN
fcis-20720	47	22	with	with	ADP
fcis-20720	47	23	simple	simple	ADJ
fcis-20720	47	24	planning	planning	NOUN
fcis-20720	47	25	and	and	CCONJ
fcis-20720	47	26	clear	clear	ADJ
fcis-20720	47	27	inference	inference	NOUN
fcis-20720	47	28	,	,	PUNCT
fcis-20720	47	29	which	which	PRON
fcis-20720	47	30	is	be	AUX
fcis-20720	47	31	exactly	exactly	ADV
fcis-20720	47	32	the	the	DET
fcis-20720	47	33	opposite	opposite	NOUN
fcis-20720	47	34	of	of	ADP
fcis-20720	47	35	the	the	DET
fcis-20720	47	36	neural	neural	ADJ
fcis-20720	47	37	network	network	NOUN
fcis-20720	47	38	black	black	PROPN
fcis-20720	47	39	box	box	PROPN
fcis-20720	47	40	model	model	NOUN
fcis-20720	47	41	.	.	PUNCT
fcis-20720	48	1	in	in	ADP
fcis-20720	48	2	1990	1990	NUM
fcis-20720	48	3	,	,	PUNCT
fcis-20720	48	4	schapire	schapire	NOUN
fcis-20720	48	5	first	first	ADV
fcis-20720	48	6	constructed	construct	VERB
fcis-20720	48	7	a	a	DET
fcis-20720	48	8	polynomial	polynomial	ADJ
fcis-20720	48	9	level	level	NOUN
fcis-20720	48	10	algorithm	algorithm	NOUN
fcis-20720	48	11	,	,	PUNCT
fcis-20720	48	12	which	which	PRON
fcis-20720	48	13	was	be	AUX
fcis-20720	48	14	the	the	DET
fcis-20720	48	15	original	original	ADJ
fcis-20720	48	16	boosting	boost	VERB
fcis-20720	48	17	algorithm	algorithm	NOUN
fcis-20720	48	18	.	.	PUNCT
fcis-20720	49	1	one	one	NUM
fcis-20720	49	2	year	year	NOUN
fcis-20720	49	3	later	later	ADV
fcis-20720	49	4	,	,	PUNCT
fcis-20720	49	5	freund	freund	PROPN
fcis-20720	49	6	proposed	propose	VERB
fcis-20720	49	7	a	a	DET
fcis-20720	49	8	more	more	ADV
fcis-20720	49	9	efficient	efficient	ADJ
fcis-20720	49	10	boosting	boost	VERB
fcis-20720	49	11	algorithm	algorithm	NOUN
fcis-20720	49	12	.	.	PUNCT
fcis-20720	50	1	however	however	ADV
fcis-20720	50	2	,	,	PUNCT
fcis-20720	50	3	these	these	DET
fcis-20720	50	4	two	two	NUM
fcis-20720	50	5	algorithms	algorithm	NOUN
fcis-20720	50	6	share	share	VERB
fcis-20720	50	7	a	a	DET
fcis-20720	50	8	common	common	ADJ
fcis-20720	50	9	practical	practical	ADJ
fcis-20720	50	10	flaw	flaw	NOUN
fcis-20720	50	11	,	,	PUNCT
fcis-20720	50	12	which	which	PRON
fcis-20720	50	13	is	be	AUX
fcis-20720	50	14	that	that	SCONJ
fcis-20720	50	15	they	they	PRON
fcis-20720	50	16	both	both	PRON
fcis-20720	50	17	require	require	VERB
fcis-20720	50	18	prior	prior	ADJ
fcis-20720	50	19	knowledge	knowledge	NOUN
fcis-20720	50	20	of	of	ADP
fcis-20720	50	21	the	the	DET
fcis-20720	50	22	lower	lower	ADV
fcis-20720	50	23	bound	bind	VERB
fcis-20720	50	24	for	for	ADP
fcis-20720	50	25	weak	weak	ADJ
fcis-20720	50	26	learning	learning	NOUN
fcis-20720	50	27	algorithms	algorithm	NOUN
fcis-20720	50	28	to	to	PART
fcis-20720	50	29	learn	learn	VERB
fcis-20720	50	30	correctly	correctly	ADV
fcis-20720	50	31	.	.	PUNCT
fcis-20720	51	1	in	in	ADP
fcis-20720	51	2	1995	1995	NUM
fcis-20720	51	3	,	,	PUNCT
fcis-20720	51	4	freund	freund	VERB
fcis-20720	51	5	and	and	CCONJ
fcis-20720	51	6	schapire	schapire	NOUN
fcis-20720	51	7	improved	improve	VERB
fcis-20720	51	8	the	the	DET
fcis-20720	51	9	boosting	boost	VERB
fcis-20720	51	10	algorithm	algorithm	NOUN
fcis-20720	51	11	and	and	CCONJ
fcis-20720	51	12	proposed	propose	VERB
fcis-20720	51	13	the	the	DET
fcis-20720	51	14	adaboost	adaboost	ADJ
fcis-20720	51	15	(	(	PUNCT
fcis-20720	51	16	adaptive	adaptive	ADJ
fcis-20720	51	17	boosting	boosting	NOUN
fcis-20720	51	18	)	)	PUNCT
fcis-20720	51	19	algorithm	algorithm	NOUN
fcis-20720	51	20	,	,	PUNCT
fcis-20720	51	21	which	which	PRON
fcis-20720	51	22	has	have	VERB
fcis-20720	51	23	almost	almost	ADV
fcis-20720	51	24	the	the	DET
fcis-20720	51	25	same	same	ADJ
fcis-20720	51	26	efficiency	efficiency	NOUN
fcis-20720	51	27	as	as	ADP
fcis-20720	51	28	freund	freund	NOUN
fcis-20720	51	29	's	's	PART
fcis-20720	51	30	boosting	boost	VERB
fcis-20720	51	31	algorithm	algorithm	NOUN
fcis-20720	51	32	proposed	propose	VERB
fcis-20720	51	33	in	in	ADP
fcis-20720	51	34	1991	1991	NUM
fcis-20720	51	35	,	,	PUNCT
fcis-20720	51	36	but	but	CCONJ
fcis-20720	51	37	does	do	AUX
fcis-20720	51	38	not	not	PART
fcis-20720	51	39	require	require	VERB
fcis-20720	51	40	any	any	DET
fcis-20720	51	41	prior	prior	ADJ
fcis-20720	51	42	knowledge	knowledge	NOUN
fcis-20720	51	43	about	about	ADP
fcis-20720	51	44	weak	weak	ADJ
fcis-20720	51	45	learners	learner	NOUN
fcis-20720	51	46	,	,	PUNCT
fcis-20720	51	47	making	make	VERB
fcis-20720	51	48	it	it	PRON
fcis-20720	51	49	easier	easy	ADJ
fcis-20720	51	50	to	to	PART
fcis-20720	51	51	apply	apply	VERB
fcis-20720	51	52	to	to	ADP
fcis-20720	51	53	practical	practical	ADJ
fcis-20720	51	54	problems	problem	NOUN
fcis-20720	51	55	.	.	PUNCT
fcis-20720	52	1	the	the	DET
fcis-20720	52	2	emergence	emergence	NOUN
fcis-20720	52	3	of	of	ADP
fcis-20720	52	4	support	support	NOUN
fcis-20720	52	5	vector	vector	NOUN
fcis-20720	52	6	machines	machine	NOUN
fcis-20720	52	7	is	be	AUX
fcis-20720	52	8	another	another	DET
fcis-20720	52	9	important	important	ADJ
fcis-20720	52	10	breakthrough	breakthrough	NOUN
fcis-20720	52	11	in	in	ADP
fcis-20720	52	12	the	the	DET
fcis-20720	52	13	field	field	NOUN
fcis-20720	52	14	of	of	ADP
fcis-20720	52	15	machine	machine	NOUN
fcis-20720	52	16	learning	learning	NOUN
fcis-20720	52	17	,	,	PUNCT
fcis-20720	52	18	and	and	CCONJ
fcis-20720	52	19	this	this	DET
fcis-20720	52	20	algorithm	algorithm	NOUN
fcis-20720	52	21	has	have	VERB
fcis-20720	52	22	a	a	DET
fcis-20720	52	23	very	very	ADV
fcis-20720	52	24	strong	strong	ADJ
fcis-20720	52	25	theoretical	theoretical	ADJ
fcis-20720	52	26	position	position	NOUN
fcis-20720	52	27	and	and	CCONJ
fcis-20720	52	28	empirical	empirical	ADJ
fcis-20720	52	29	results	result	NOUN
fcis-20720	52	30	.	.	PUNCT
fcis-20720	53	1	during	during	ADP
fcis-20720	53	2	that	that	DET
fcis-20720	53	3	period	period	NOUN
fcis-20720	53	4	,	,	PUNCT
fcis-20720	53	5	machine	machine	NOUN
fcis-20720	53	6	learning	learn	VERB
fcis-20720	53	7	71	71	NUM
fcis-20720	53	8	research	research	NOUN
fcis-20720	53	9	was	be	AUX
fcis-20720	53	10	also	also	ADV
fcis-20720	53	11	divided	divide	VERB
fcis-20720	53	12	into	into	ADP
fcis-20720	53	13	two	two	NUM
fcis-20720	53	14	schools	school	NOUN
fcis-20720	53	15	:	:	PUNCT
fcis-20720	53	16	nn	nn	PROPN
fcis-20720	53	17	and	and	CCONJ
fcis-20720	53	18	svm	svm	PROPN
fcis-20720	53	19	.	.	PROPN
fcis-20720	53	20	figure	figure	NOUN
fcis-20720	53	21	4	4	NUM
fcis-20720	53	22	.	.	PUNCT
fcis-20720	53	23	boosting	boost	VERB
fcis-20720	53	24	algorithm	algorithm	NOUN
fcis-20720	53	25	however	however	ADV
fcis-20720	53	26	,	,	PUNCT
fcis-20720	53	27	after	after	ADP
fcis-20720	53	28	the	the	DET
fcis-20720	53	29	proposal	proposal	NOUN
fcis-20720	53	30	of	of	ADP
fcis-20720	53	31	support	support	NOUN
fcis-20720	53	32	vector	vector	NOUN
fcis-20720	53	33	machines	machine	NOUN
fcis-20720	53	34	with	with	ADP
fcis-20720	53	35	kernel	kernel	PROPN
fcis-20720	53	36	functions	function	NOUN
fcis-20720	53	37	around	around	ADP
fcis-20720	53	38	2000	2000	NUM
fcis-20720	53	39	,	,	PUNCT
fcis-20720	53	40	svm	svm	PROPN
fcis-20720	53	41	achieved	achieve	VERB
fcis-20720	53	42	better	well	ADJ
fcis-20720	53	43	performance	performance	NOUN
fcis-20720	53	44	in	in	ADP
fcis-20720	53	45	many	many	ADJ
fcis-20720	53	46	tasks	task	NOUN
fcis-20720	53	47	previously	previously	ADV
fcis-20720	53	48	occupied	occupy	VERB
fcis-20720	53	49	by	by	ADP
fcis-20720	53	50	nn	nn	PROPN
fcis-20720	53	51	.	.	PROPN
fcis-20720	53	52	in	in	ADP
fcis-20720	53	53	addition	addition	NOUN
fcis-20720	53	54	,	,	PUNCT
fcis-20720	53	55	svm	svm	NOUN
fcis-20720	53	56	can	can	AUX
fcis-20720	53	57	also	also	ADV
fcis-20720	53	58	utilize	utilize	VERB
fcis-20720	53	59	all	all	DET
fcis-20720	53	60	the	the	DET
fcis-20720	53	61	profound	profound	ADJ
fcis-20720	53	62	knowledge	knowledge	NOUN
fcis-20720	53	63	about	about	ADP
fcis-20720	53	64	convex	convex	PROPN
fcis-20720	53	65	optimization	optimization	NOUN
fcis-20720	53	66	,	,	PUNCT
fcis-20720	53	67	generalized	generalize	VERB
fcis-20720	53	68	marginal	marginal	ADJ
fcis-20720	53	69	theory	theory	NOUN
fcis-20720	53	70	,	,	PUNCT
fcis-20720	53	71	and	and	CCONJ
fcis-20720	53	72	kernel	kernel	PROPN
fcis-20720	53	73	functions	function	NOUN
fcis-20720	53	74	relative	relative	ADJ
fcis-20720	53	75	to	to	ADP
fcis-20720	53	76	nn	nn	PROPN
fcis-20720	53	77	.	.	PROPN
fcis-20720	53	78	therefore	therefore	ADV
fcis-20720	53	79	,	,	PUNCT
fcis-20720	53	80	svm	svm	PROPN
fcis-20720	53	81	can	can	AUX
fcis-20720	53	82	vigorously	vigorously	ADV
fcis-20720	53	83	promote	promote	VERB
fcis-20720	53	84	the	the	DET
fcis-20720	53	85	improvement	improvement	NOUN
fcis-20720	53	86	of	of	ADP
fcis-20720	53	87	theory	theory	NOUN
fcis-20720	53	88	and	and	CCONJ
fcis-20720	53	89	practice	practice	NOUN
fcis-20720	53	90	from	from	ADP
fcis-20720	53	91	different	different	ADJ
fcis-20720	53	92	disciplines	discipline	NOUN
fcis-20720	53	93	.	.	PUNCT
fcis-20720	54	1	hinton	hinton	PROPN
fcis-20720	54	2	,	,	PUNCT
fcis-20720	54	3	a	a	DET
fcis-20720	54	4	leader	leader	NOUN
fcis-20720	54	5	in	in	ADP
fcis-20720	54	6	the	the	DET
fcis-20720	54	7	field	field	NOUN
fcis-20720	54	8	of	of	ADP
fcis-20720	54	9	neural	neural	ADJ
fcis-20720	54	10	network	network	NOUN
fcis-20720	54	11	research	research	NOUN
fcis-20720	54	12	,	,	PUNCT
fcis-20720	54	13	proposed	propose	VERB
fcis-20720	54	14	the	the	DET
fcis-20720	54	15	deep	deep	ADJ
fcis-20720	54	16	learning	learning	NOUN
fcis-20720	54	17	algorithm	algorithm	NOUN
fcis-20720	54	18	for	for	ADP
fcis-20720	54	19	neural	neural	ADJ
fcis-20720	54	20	networks	network	NOUN
fcis-20720	54	21	in	in	ADP
fcis-20720	54	22	2006	2006	NUM
fcis-20720	54	23	,	,	PUNCT
fcis-20720	54	24	which	which	PRON
fcis-20720	54	25	greatly	greatly	ADV
fcis-20720	54	26	improved	improve	VERB
fcis-20720	54	27	the	the	DET
fcis-20720	54	28	capabilities	capability	NOUN
fcis-20720	54	29	of	of	ADP
fcis-20720	54	30	neural	neural	ADJ
fcis-20720	54	31	networks	network	NOUN
fcis-20720	54	32	and	and	CCONJ
fcis-20720	54	33	posed	pose	VERB
fcis-20720	54	34	a	a	DET
fcis-20720	54	35	challenge	challenge	NOUN
fcis-20720	54	36	to	to	PART
fcis-20720	54	37	support	support	VERB
fcis-20720	54	38	vector	vector	NOUN
fcis-20720	54	39	machines	machine	NOUN
fcis-20720	54	40	.	.	PUNCT
fcis-20720	55	1	in	in	ADP
fcis-20720	55	2	2006	2006	NUM
fcis-20720	55	3	,	,	PUNCT
fcis-20720	55	4	hinton	hinton	PROPN
fcis-20720	55	5	,	,	PUNCT
fcis-20720	55	6	the	the	DET
fcis-20720	55	7	leader	leader	NOUN
fcis-20720	55	8	of	of	ADP
fcis-20720	55	9	machine	machine	NOUN
fcis-20720	55	10	learning	learning	NOUN
fcis-20720	55	11	,	,	PUNCT
fcis-20720	55	12	and	and	CCONJ
fcis-20720	55	13	his	his	PRON
fcis-20720	55	14	student	student	NOUN
fcis-20720	55	15	salakhutdinov	salakhutdinov	NOUN
fcis-20720	55	16	published	publish	VERB
fcis-20720	55	17	an	an	DET
fcis-20720	55	18	article	article	NOUN
fcis-20720	55	19	in	in	ADP
fcis-20720	55	20	the	the	DET
fcis-20720	55	21	top	top	ADJ
fcis-20720	55	22	academic	academic	ADJ
fcis-20720	55	23	journal	journal	NOUN
fcis-20720	55	24	“	"	PUNCT
fcis-20720	55	25	scince	scince	NOUN
fcis-20720	55	26	”	"	PUNCT
fcis-20720	55	27	,	,	PUNCT
fcis-20720	55	28	ushering	usher	VERB
fcis-20720	55	29	in	in	ADP
fcis-20720	55	30	a	a	DET
fcis-20720	55	31	wave	wave	NOUN
fcis-20720	55	32	of	of	ADP
fcis-20720	55	33	deep	deep	ADJ
fcis-20720	55	34	learning	learning	NOUN
fcis-20720	55	35	in	in	ADP
fcis-20720	55	36	both	both	CCONJ
fcis-20720	55	37	academia	academia	NOUN
fcis-20720	55	38	and	and	CCONJ
fcis-20720	55	39	industry	industry	NOUN
fcis-20720	55	40	.	.	PUNCT
fcis-20720	56	1	the	the	DET
fcis-20720	56	2	success	success	NOUN
fcis-20720	56	3	of	of	ADP
fcis-20720	56	4	deep	deep	ADJ
fcis-20720	56	5	learning	learning	NOUN
fcis-20720	56	6	does	do	AUX
fcis-20720	56	7	not	not	PART
fcis-20720	56	8	stem	stem	VERB
fcis-20720	56	9	from	from	ADP
fcis-20720	56	10	advances	advance	NOUN
fcis-20720	56	11	in	in	ADP
fcis-20720	56	12	neuroscience	neuroscience	NOUN
fcis-20720	56	13	or	or	CCONJ
fcis-20720	56	14	cognitive	cognitive	ADJ
fcis-20720	56	15	science	science	NOUN
fcis-20720	56	16	,	,	PUNCT
fcis-20720	56	17	but	but	CCONJ
fcis-20720	56	18	from	from	ADP
fcis-20720	56	19	the	the	DET
fcis-20720	56	20	driving	drive	VERB
fcis-20720	56	21	force	force	NOUN
fcis-20720	56	22	of	of	ADP
fcis-20720	56	23	big	big	ADJ
fcis-20720	56	24	data	datum	NOUN
fcis-20720	56	25	and	and	CCONJ
fcis-20720	56	26	the	the	DET
fcis-20720	56	27	significant	significant	ADJ
fcis-20720	56	28	improvement	improvement	NOUN
fcis-20720	56	29	of	of	ADP
fcis-20720	56	30	computing	compute	VERB
fcis-20720	56	31	power	power	NOUN
fcis-20720	56	32	.	.	PUNCT
fcis-20720	57	1	it	it	PRON
fcis-20720	57	2	can	can	AUX
fcis-20720	57	3	be	be	AUX
fcis-20720	57	4	said	say	VERB
fcis-20720	57	5	that	that	SCONJ
fcis-20720	57	6	machine	machine	NOUN
fcis-20720	57	7	learning	learning	NOUN
fcis-20720	57	8	is	be	AUX
fcis-20720	57	9	created	create	VERB
fcis-20720	57	10	by	by	ADP
fcis-20720	57	11	the	the	DET
fcis-20720	57	12	joint	joint	ADJ
fcis-20720	57	13	efforts	effort	NOUN
fcis-20720	57	14	of	of	ADP
fcis-20720	57	15	academia	academia	NOUN
fcis-20720	57	16	,	,	PUNCT
fcis-20720	57	17	industry	industry	NOUN
fcis-20720	57	18	,	,	PUNCT
fcis-20720	57	19	entrepreneurship	entrepreneurship	NOUN
fcis-20720	57	20	,	,	PUNCT
fcis-20720	57	21	and	and	CCONJ
fcis-20720	57	22	other	other	ADJ
fcis-20720	57	23	fields	field	NOUN
fcis-20720	57	24	.	.	PUNCT
fcis-20720	58	1	the	the	DET
fcis-20720	58	2	academic	academic	ADJ
fcis-20720	58	3	community	community	NOUN
fcis-20720	58	4	is	be	AUX
fcis-20720	58	5	the	the	DET
fcis-20720	58	6	engine	engine	NOUN
fcis-20720	58	7	,	,	PUNCT
fcis-20720	58	8	the	the	DET
fcis-20720	58	9	industrial	industrial	ADJ
fcis-20720	58	10	community	community	NOUN
fcis-20720	58	11	is	be	AUX
fcis-20720	58	12	the	the	DET
fcis-20720	58	13	driving	drive	VERB
fcis-20720	58	14	force	force	NOUN
fcis-20720	58	15	,	,	PUNCT
fcis-20720	58	16	and	and	CCONJ
fcis-20720	58	17	the	the	DET
fcis-20720	58	18	entrepreneurial	entrepreneurial	ADJ
fcis-20720	58	19	community	community	NOUN
fcis-20720	58	20	is	be	AUX
fcis-20720	58	21	the	the	DET
fcis-20720	58	22	vitality	vitality	NOUN
fcis-20720	58	23	and	and	CCONJ
fcis-20720	58	24	future	future	NOUN
fcis-20720	58	25	.	.	PUNCT
fcis-20720	59	1	the	the	DET
fcis-20720	59	2	academic	academic	ADJ
fcis-20720	59	3	and	and	CCONJ
fcis-20720	59	4	industrial	industrial	ADJ
fcis-20720	59	5	communities	community	NOUN
fcis-20720	59	6	should	should	AUX
fcis-20720	59	7	have	have	VERB
fcis-20720	59	8	their	their	PRON
fcis-20720	59	9	own	own	ADJ
fcis-20720	59	10	responsibilities	responsibility	NOUN
fcis-20720	59	11	and	and	CCONJ
fcis-20720	59	12	division	division	NOUN
fcis-20720	59	13	of	of	ADP
fcis-20720	59	14	labor	labor	NOUN
fcis-20720	59	15	.	.	PUNCT
fcis-20720	60	1	the	the	DET
fcis-20720	60	2	responsibility	responsibility	NOUN
fcis-20720	60	3	of	of	ADP
fcis-20720	60	4	the	the	DET
fcis-20720	60	5	academic	academic	ADJ
fcis-20720	60	6	community	community	NOUN
fcis-20720	60	7	is	be	AUX
fcis-20720	60	8	to	to	PART
fcis-20720	60	9	establish	establish	VERB
fcis-20720	60	10	and	and	CCONJ
fcis-20720	60	11	develop	develop	VERB
fcis-20720	60	12	the	the	DET
fcis-20720	60	13	discipline	discipline	NOUN
fcis-20720	60	14	of	of	ADP
fcis-20720	60	15	machine	machine	NOUN
fcis-20720	60	16	learning	learning	NOUN
fcis-20720	60	17	,	,	PUNCT
fcis-20720	60	18	and	and	CCONJ
fcis-20720	60	19	cultivate	cultivate	VERB
fcis-20720	60	20	specialized	specialized	ADJ
fcis-20720	60	21	talents	talent	NOUN
fcis-20720	60	22	in	in	ADP
fcis-20720	60	23	the	the	DET
fcis-20720	60	24	field	field	NOUN
fcis-20720	60	25	of	of	ADP
fcis-20720	60	26	machine	machine	NOUN
fcis-20720	60	27	learning	learning	NOUN
fcis-20720	60	28	;	;	PUNCT
fcis-20720	60	29	large	large	ADJ
fcis-20720	60	30	projects	project	NOUN
fcis-20720	60	31	and	and	CCONJ
fcis-20720	60	32	engineering	engineering	NOUN
fcis-20720	60	33	should	should	AUX
fcis-20720	60	34	be	be	AUX
fcis-20720	60	35	driven	drive	VERB
fcis-20720	60	36	by	by	ADP
fcis-20720	60	37	the	the	DET
fcis-20720	60	38	market	market	NOUN
fcis-20720	60	39	and	and	CCONJ
fcis-20720	60	40	implemented	implement	VERB
fcis-20720	60	41	and	and	CCONJ
fcis-20720	60	42	completed	complete	VERB
fcis-20720	60	43	by	by	ADP
fcis-20720	60	44	the	the	DET
fcis-20720	60	45	industry	industry	NOUN
fcis-20720	60	46	.	.	PUNCT
fcis-20720	61	1	3	3	X
fcis-20720	61	2	.	.	X
fcis-20720	61	3	in	in	ADP
fcis-20720	61	4	depth	depth	NOUN
fcis-20720	61	5	exploration	exploration	NOUN
fcis-20720	61	6	of	of	ADP
fcis-20720	61	7	machine	machine	NOUN
fcis-20720	61	8	learning	learn	VERB
fcis-20720	61	9	algorithms	algorithms	NOUN
fcis-20720	61	10	3.1	3.1	NUM
fcis-20720	61	11	.	.	PUNCT
fcis-20720	62	1	supervised	supervised	ADJ
fcis-20720	62	2	learning	learn	VERB
fcis-20720	62	3	algorithms	algorithm	NOUN
fcis-20720	62	4	supervised	supervised	ADJ
fcis-20720	62	5	learning	learn	VERB
fcis-20720	62	6	is	be	AUX
fcis-20720	62	7	the	the	DET
fcis-20720	62	8	most	most	ADV
fcis-20720	62	9	common	common	ADJ
fcis-20720	62	10	and	and	CCONJ
fcis-20720	62	11	widely	widely	ADV
fcis-20720	62	12	used	use	VERB
fcis-20720	62	13	algorithm	algorithm	NOUN
fcis-20720	62	14	in	in	ADP
fcis-20720	62	15	machine	machine	NOUN
fcis-20720	62	16	learning	learning	NOUN
fcis-20720	62	17	,	,	PUNCT
fcis-20720	62	18	which	which	PRON
fcis-20720	62	19	includes	include	VERB
fcis-20720	62	20	decision	decision	NOUN
fcis-20720	62	21	trees	tree	NOUN
fcis-20720	62	22	,	,	PUNCT
fcis-20720	62	23	support	support	NOUN
fcis-20720	62	24	vector	vector	NOUN
fcis-20720	62	25	machines	machine	NOUN
fcis-20720	62	26	,	,	PUNCT
fcis-20720	62	27	and	and	CCONJ
fcis-20720	62	28	neural	neural	ADJ
fcis-20720	62	29	networks	network	NOUN
fcis-20720	62	30	.	.	PUNCT
fcis-20720	63	1	decision	decision	NOUN
fcis-20720	63	2	tree	tree	NOUN
fcis-20720	63	3	is	be	AUX
fcis-20720	63	4	a	a	DET
fcis-20720	63	5	model	model	NOUN
fcis-20720	63	6	based	base	VERB
fcis-20720	63	7	on	on	ADP
fcis-20720	63	8	a	a	DET
fcis-20720	63	9	tree	tree	NOUN
fcis-20720	63	10	structure	structure	NOUN
fcis-20720	63	11	that	that	PRON
fcis-20720	63	12	recursively	recursively	ADV
fcis-20720	63	13	partitions	partition	VERB
fcis-20720	63	14	a	a	DET
fcis-20720	63	15	dataset	dataset	NOUN
fcis-20720	63	16	to	to	PART
fcis-20720	63	17	achieve	achieve	VERB
fcis-20720	63	18	prediction	prediction	NOUN
fcis-20720	63	19	of	of	ADP
fcis-20720	63	20	target	target	NOUN
fcis-20720	63	21	variables	variable	NOUN
fcis-20720	63	22	.	.	PUNCT
fcis-20720	64	1	it	it	PRON
fcis-20720	64	2	’s	’	VERB
fcis-20720	64	3	simple	simple	ADJ
fcis-20720	64	4	and	and	CCONJ
fcis-20720	64	5	intuitive	intuitive	ADJ
fcis-20720	64	6	characteristics	characteristic	NOUN
fcis-20720	64	7	make	make	VERB
fcis-20720	64	8	it	it	PRON
fcis-20720	64	9	widely	widely	ADV
fcis-20720	64	10	used	use	VERB
fcis-20720	64	11	in	in	ADP
fcis-20720	64	12	data	data	NOUN
fcis-20720	64	13	mining	mining	NOUN
fcis-20720	64	14	and	and	CCONJ
fcis-20720	64	15	classification	classification	NOUN
fcis-20720	64	16	problems	problem	NOUN
fcis-20720	64	17	.	.	PUNCT
fcis-20720	65	1	decision	decision	NOUN
fcis-20720	65	2	trees	tree	NOUN
fcis-20720	65	3	have	have	VERB
fcis-20720	65	4	strong	strong	ADJ
fcis-20720	65	5	interpretability	interpretability	NOUN
fcis-20720	65	6	and	and	CCONJ
fcis-20720	65	7	are	be	AUX
fcis-20720	65	8	easy	easy	ADJ
fcis-20720	65	9	to	to	PART
fcis-20720	65	10	understand	understand	VERB
fcis-20720	65	11	and	and	CCONJ
fcis-20720	65	12	interpret	interpret	VERB
fcis-20720	65	13	,	,	PUNCT
fcis-20720	65	14	but	but	CCONJ
fcis-20720	65	15	they	they	PRON
fcis-20720	65	16	are	be	AUX
fcis-20720	65	17	also	also	ADV
fcis-20720	65	18	prone	prone	ADJ
fcis-20720	65	19	to	to	ADP
fcis-20720	65	20	overfitting	overfitte	VERB
fcis-20720	65	21	and	and	CCONJ
fcis-20720	65	22	require	require	VERB
fcis-20720	65	23	optimization	optimization	NOUN
fcis-20720	65	24	measures	measure	NOUN
fcis-20720	65	25	such	such	ADJ
fcis-20720	65	26	as	as	ADP
fcis-20720	65	27	pruning	prune	VERB
fcis-20720	65	28	.	.	PUNCT
fcis-20720	66	1	chen	chen	PROPN
fcis-20720	66	2	et	et	PROPN
fcis-20720	66	3	al	al	PROPN
fcis-20720	66	4	.	.	PROPN
fcis-20720	66	5	are	be	AUX
fcis-20720	66	6	committed	commit	VERB
fcis-20720	66	7	to	to	ADP
fcis-20720	66	8	solving	solve	VERB
fcis-20720	66	9	the	the	DET
fcis-20720	66	10	challenge	challenge	NOUN
fcis-20720	66	11	of	of	ADP
fcis-20720	66	12	cancer	cancer	NOUN
fcis-20720	66	13	literature	literature	NOUN
fcis-20720	66	14	classification	classification	NOUN
fcis-20720	66	15	in	in	ADP
fcis-20720	66	16	biomedical	biomedical	ADJ
fcis-20720	66	17	texts	text	NOUN
fcis-20720	66	18	.	.	PUNCT
fcis-20720	67	1	they	they	PRON
fcis-20720	67	2	have	have	AUX
fcis-20720	67	3	planned	plan	VERB
fcis-20720	67	4	a	a	DET
fcis-20720	67	5	unique	unique	ADJ
fcis-20720	67	6	dataset	dataset	NOUN
fcis-20720	67	7	containing	contain	VERB
fcis-20720	67	8	over	over	ADP
fcis-20720	67	9	6	6	NUM
fcis-20720	67	10	pages	page	NOUN
fcis-20720	67	11	of	of	ADP
fcis-20720	67	12	extensive	extensive	ADJ
fcis-20720	67	13	documents	document	NOUN
fcis-20720	67	14	,	,	PUNCT
fcis-20720	67	15	using	use	VERB
fcis-20720	67	16	the	the	DET
fcis-20720	67	17	random	random	ADJ
fcis-20720	67	18	forest	forest	NOUN
fcis-20720	67	19	tree	tree	NOUN
fcis-20720	67	20	method	method	NOUN
fcis-20720	67	21	to	to	PART
fcis-20720	67	22	tackle	tackle	VERB
fcis-20720	67	23	classification	classification	NOUN
fcis-20720	67	24	tasks	task	NOUN
fcis-20720	67	25	,	,	PUNCT
fcis-20720	67	26	and	and	CCONJ
fcis-20720	67	27	combining	combine	VERB
fcis-20720	67	28	multiple	multiple	ADJ
fcis-20720	67	29	decision	decision	NOUN
fcis-20720	67	30	trees	tree	NOUN
fcis-20720	67	31	to	to	PART
fcis-20720	67	32	improve	improve	VERB
fcis-20720	67	33	accuracy	accuracy	NOUN
fcis-20720	67	34	and	and	CCONJ
fcis-20720	67	35	robustness	robustness	NOUN
fcis-20720	67	36	.	.	PUNCT
fcis-20720	68	1	they	they	PRON
fcis-20720	68	2	have	have	AUX
fcis-20720	68	3	demonstrated	demonstrate	VERB
fcis-20720	68	4	outstanding	outstanding	ADJ
fcis-20720	68	5	performance	performance	NOUN
fcis-20720	68	6	in	in	ADP
fcis-20720	68	7	dealing	deal	VERB
fcis-20720	68	8	with	with	ADP
fcis-20720	68	9	complex	complex	ADJ
fcis-20720	68	10	classification	classification	NOUN
fcis-20720	68	11	tasks	task	NOUN
fcis-20720	68	12	and	and	CCONJ
fcis-20720	68	13	have	have	AUX
fcis-20720	68	14	been	be	AUX
fcis-20720	68	15	widely	widely	ADV
fcis-20720	68	16	applied	apply	VERB
fcis-20720	68	17	in	in	ADP
fcis-20720	68	18	the	the	DET
fcis-20720	68	19	fields	field	NOUN
fcis-20720	68	20	of	of	ADP
fcis-20720	68	21	machine	machine	NOUN
fcis-20720	68	22	learning	learning	NOUN
fcis-20720	68	23	and	and	CCONJ
fcis-20720	68	24	data	datum	NOUN
fcis-20720	68	25	science	science	NOUN
fcis-20720	68	26	.	.	PUNCT
fcis-20720	69	1	support	support	NOUN
fcis-20720	69	2	vector	vector	NOUN
fcis-20720	69	3	machine	machine	NOUN
fcis-20720	69	4	(	(	PUNCT
fcis-20720	69	5	svm	svm	PROPN
fcis-20720	69	6	)	)	PUNCT
fcis-20720	69	7	is	be	AUX
fcis-20720	69	8	a	a	DET
fcis-20720	69	9	supervised	supervised	ADJ
fcis-20720	69	10	learning	learn	VERB
fcis-20720	69	11	algorithm	algorithm	NOUN
fcis-20720	69	12	that	that	PRON
fcis-20720	69	13	performs	perform	VERB
fcis-20720	69	14	well	well	ADV
fcis-20720	69	15	in	in	ADP
fcis-20720	69	16	classification	classification	NOUN
fcis-20720	69	17	and	and	CCONJ
fcis-20720	69	18	regression	regression	NOUN
fcis-20720	69	19	.	.	PUNCT
fcis-20720	70	1	the	the	DET
fcis-20720	70	2	basic	basic	ADJ
fcis-20720	70	3	idea	idea	NOUN
fcis-20720	70	4	is	be	AUX
fcis-20720	70	5	to	to	PART
fcis-20720	70	6	find	find	VERB
fcis-20720	70	7	a	a	DET
fcis-20720	70	8	hyperplane	hyperplane	NOUN
fcis-20720	70	9	that	that	PRON
fcis-20720	70	10	can	can	AUX
fcis-20720	70	11	effectively	effectively	ADV
fcis-20720	70	12	separate	separate	VERB
fcis-20720	70	13	different	different	ADJ
fcis-20720	70	14	categories	category	NOUN
fcis-20720	70	15	and	and	CCONJ
fcis-20720	70	16	maximize	maximize	VERB
fcis-20720	70	17	the	the	DET
fcis-20720	70	18	classification	classification	NOUN
fcis-20720	70	19	interval	interval	NOUN
fcis-20720	70	20	.	.	PUNCT
fcis-20720	71	1	the	the	DET
fcis-20720	71	2	application	application	NOUN
fcis-20720	71	3	of	of	ADP
fcis-20720	71	4	svm	svm	PROPN
fcis-20720	71	5	mapping	mapping	NOUN
fcis-20720	71	6	and	and	CCONJ
fcis-20720	71	7	kernel	kernel	PROPN
fcis-20720	71	8	techniques	technique	NOUN
fcis-20720	71	9	in	in	ADP
fcis-20720	71	10	high	high	ADJ
fcis-20720	71	11	-	-	PUNCT
fcis-20720	71	12	dimensional	dimensional	ADJ
fcis-20720	71	13	space	space	NOUN
fcis-20720	71	14	makes	make	VERB
fcis-20720	71	15	it	it	PRON
fcis-20720	71	16	suitable	suitable	ADJ
fcis-20720	71	17	for	for	ADP
fcis-20720	71	18	complex	complex	ADJ
fcis-20720	71	19	nonlinear	nonlinear	ADJ
fcis-20720	71	20	problems[1	problems[1	NOUN
fcis-20720	71	21	]	]	PUNCT
fcis-20720	71	22	.	.	PUNCT
fcis-20720	72	1	however	however	ADV
fcis-20720	72	2	,	,	PUNCT
fcis-20720	72	3	for	for	ADP
fcis-20720	72	4	large	large	ADJ
fcis-20720	72	5	-	-	PUNCT
fcis-20720	72	6	scale	scale	NOUN
fcis-20720	72	7	datasets	dataset	NOUN
fcis-20720	72	8	,	,	PUNCT
fcis-20720	72	9	svm	svm	PROPN
fcis-20720	72	10	has	have	VERB
fcis-20720	72	11	a	a	DET
fcis-20720	72	12	high	high	ADJ
fcis-20720	72	13	computational	computational	ADJ
fcis-20720	72	14	complexity	complexity	NOUN
fcis-20720	72	15	and	and	CCONJ
fcis-20720	72	16	requires	require	VERB
fcis-20720	72	17	careful	careful	ADJ
fcis-20720	72	18	selection	selection	NOUN
fcis-20720	72	19	of	of	ADP
fcis-20720	72	20	kernel	kernel	PROPN
fcis-20720	72	21	functions	function	NOUN
fcis-20720	72	22	and	and	CCONJ
fcis-20720	72	23	parameters	parameter	NOUN
fcis-20720	72	24	.	.	PUNCT
fcis-20720	73	1	there	there	PRON
fcis-20720	73	2	is	be	VERB
fcis-20720	73	3	currently	currently	ADV
fcis-20720	73	4	significant	significant	ADJ
fcis-20720	73	5	controversy	controversy	NOUN
fcis-20720	73	6	over	over	ADP
fcis-20720	73	7	the	the	DET
fcis-20720	73	8	detection	detection	NOUN
fcis-20720	73	9	of	of	ADP
fcis-20720	73	10	earthquake	earthquake	NOUN
fcis-20720	73	11	precursors	precursor	NOUN
fcis-20720	73	12	,	,	PUNCT
fcis-20720	73	13	making	make	VERB
fcis-20720	73	14	remote	remote	ADJ
fcis-20720	73	15	sensing	sensing	NOUN
fcis-20720	73	16	technology	technology	NOUN
fcis-20720	73	17	a	a	DET
fcis-20720	73	18	warning	warning	NOUN
fcis-20720	73	19	tool[2	tool[2	PRON
fcis-20720	73	20	]	]	PUNCT
fcis-20720	73	21	.	.	PUNCT
fcis-20720	74	1	saed	saed	NOUN
fcis-20720	75	1	a	a	PRON
fcis-20720	75	2	et	et	NOUN
fcis-20720	75	3	al	al	PROPN
fcis-20720	75	4	.	.	PROPN
fcis-20720	75	5	used	use	VERB
fcis-20720	75	6	machine	machine	NOUN
fcis-20720	75	7	learning	learn	VERB
fcis-20720	75	8	support	support	NOUN
fcis-20720	75	9	vector	vector	NOUN
fcis-20720	75	10	machines	machine	NOUN
fcis-20720	75	11	to	to	PART
fcis-20720	75	12	estimate	estimate	VERB
fcis-20720	75	13	the	the	DET
fcis-20720	75	14	total	total	ADJ
fcis-20720	75	15	ionospheric	ionospheric	ADJ
fcis-20720	75	16	electron	electron	NOUN
fcis-20720	75	17	content	content	PROPN
fcis-20720	75	18	time	time	PROPN
fcis-20720	75	19	series	series	NOUN
fcis-20720	75	20	of	of	ADP
fcis-20720	75	21	gps	gps	PROPN
fcis-20720	75	22	and	and	CCONJ
fcis-20720	75	23	evaluate	evaluate	VERB
fcis-20720	75	24	earthquake	earthquake	NOUN
fcis-20720	75	25	precursors	precursor	NOUN
fcis-20720	75	26	.	.	PUNCT
fcis-20720	76	1	by	by	ADP
fcis-20720	76	2	perturbing	perturb	VERB
fcis-20720	76	3	tec	tec	ADJ
fcis-20720	76	4	data	datum	NOUN
fcis-20720	76	5	,	,	PUNCT
fcis-20720	76	6	svm	svm	PROPN
fcis-20720	76	7	can	can	AUX
fcis-20720	76	8	identify	identify	VERB
fcis-20720	76	9	stress	stress	ADJ
fcis-20720	76	10	accumulation	accumulation	NOUN
fcis-20720	76	11	signals	signal	NOUN
fcis-20720	76	12	deep	deep	ADV
fcis-20720	76	13	in	in	ADP
fcis-20720	76	14	the	the	DET
fcis-20720	76	15	crust	crust	NOUN
fcis-20720	76	16	,	,	PUNCT
fcis-20720	76	17	providing	provide	VERB
fcis-20720	76	18	a	a	DET
fcis-20720	76	19	new	new	ADJ
fcis-20720	76	20	approach	approach	NOUN
fcis-20720	76	21	for	for	ADP
fcis-20720	76	22	earthquake	earthquake	NOUN
fcis-20720	76	23	prediction	prediction	NOUN
fcis-20720	76	24	.	.	PUNCT
fcis-20720	77	1	neural	neural	ADJ
fcis-20720	77	2	network	network	NOUN
fcis-20720	77	3	is	be	AUX
fcis-20720	77	4	an	an	DET
fcis-20720	77	5	algorithm	algorithm	NOUN
fcis-20720	77	6	that	that	PRON
fcis-20720	77	7	simulates	simulate	VERB
fcis-20720	77	8	the	the	DET
fcis-20720	77	9	structure	structure	NOUN
fcis-20720	77	10	of	of	ADP
fcis-20720	77	11	human	human	ADJ
fcis-20720	77	12	brain	brain	NOUN
fcis-20720	77	13	neurons	neuron	NOUN
fcis-20720	77	14	,	,	PUNCT
fcis-20720	77	15	learning	learn	VERB
fcis-20720	77	16	complex	complex	ADJ
fcis-20720	77	17	patterns	pattern	NOUN
fcis-20720	77	18	and	and	CCONJ
fcis-20720	77	19	relationships	relationship	NOUN
fcis-20720	77	20	through	through	ADP
fcis-20720	77	21	multi	multi	ADJ
fcis-20720	77	22	-	-	ADJ
fcis-20720	77	23	level	level	ADJ
fcis-20720	77	24	neural	neural	ADJ
fcis-20720	77	25	networks	network	NOUN
fcis-20720	77	26	.	.	PUNCT
fcis-20720	78	1	neural	neural	ADJ
fcis-20720	78	2	networks	network	NOUN
fcis-20720	78	3	in	in	ADP
fcis-20720	78	4	deep	deep	ADJ
fcis-20720	78	5	learning	learning	NOUN
fcis-20720	78	6	have	have	AUX
fcis-20720	78	7	achieved	achieve	VERB
fcis-20720	78	8	great	great	ADJ
fcis-20720	78	9	success	success	NOUN
fcis-20720	78	10	in	in	ADP
fcis-20720	78	11	fields	field	NOUN
fcis-20720	78	12	such	such	ADJ
fcis-20720	78	13	as	as	ADP
fcis-20720	78	14	image	image	NOUN
fcis-20720	78	15	recognition	recognition	NOUN
fcis-20720	78	16	and	and	CCONJ
fcis-20720	78	17	speech	speech	NOUN
fcis-20720	78	18	processing[3	processing[3	PROPN
fcis-20720	78	19	]	]	PUNCT
fcis-20720	78	20	.	.	PUNCT
fcis-20720	79	1	however	however	ADV
fcis-20720	79	2	,	,	PUNCT
fcis-20720	79	3	the	the	DET
fcis-20720	79	4	training	training	NOUN
fcis-20720	79	5	of	of	ADP
fcis-20720	79	6	neural	neural	ADJ
fcis-20720	79	7	networks	network	NOUN
fcis-20720	79	8	requires	require	VERB
fcis-20720	79	9	a	a	DET
fcis-20720	79	10	large	large	ADJ
fcis-20720	79	11	72	72	NUM
fcis-20720	79	12	amount	amount	NOUN
fcis-20720	79	13	of	of	ADP
fcis-20720	79	14	data	datum	NOUN
fcis-20720	79	15	and	and	CCONJ
fcis-20720	79	16	computing	computing	NOUN
fcis-20720	79	17	resources	resource	NOUN
fcis-20720	79	18	,	,	PUNCT
fcis-20720	79	19	and	and	CCONJ
fcis-20720	79	20	the	the	DET
fcis-20720	79	21	selection	selection	NOUN
fcis-20720	79	22	and	and	CCONJ
fcis-20720	79	23	adjustment	adjustment	NOUN
fcis-20720	79	24	of	of	ADP
fcis-20720	79	25	network	network	NOUN
fcis-20720	79	26	structure	structure	NOUN
fcis-20720	79	27	is	be	AUX
fcis-20720	79	28	also	also	ADV
fcis-20720	79	29	a	a	DET
fcis-20720	79	30	complex	complex	ADJ
fcis-20720	79	31	problem	problem	NOUN
fcis-20720	79	32	.	.	PUNCT
fcis-20720	80	1	hu	hu	PROPN
fcis-20720	81	1	h	h	PROPN
fcis-20720	81	2	et	et	PROPN
fcis-20720	81	3	al	al	PROPN
fcis-20720	81	4	.	.	PROPN
fcis-20720	81	5	addressed	address	VERB
fcis-20720	81	6	the	the	DET
fcis-20720	81	7	challenges	challenge	NOUN
fcis-20720	81	8	in	in	ADP
fcis-20720	81	9	casting	cast	VERB
fcis-20720	81	10	defect	defect	NOUN
fcis-20720	81	11	detection	detection	NOUN
fcis-20720	81	12	by	by	ADP
fcis-20720	81	13	using	use	VERB
fcis-20720	81	14	the	the	DET
fcis-20720	81	15	convolutional	convolutional	ADJ
fcis-20720	81	16	neural	neural	ADJ
fcis-20720	81	17	network	network	NOUN
fcis-20720	81	18	model	model	NOUN
fcis-20720	81	19	(	(	PUNCT
fcis-20720	81	20	figure	figure	NOUN
fcis-20720	81	21	5	5	NUM
fcis-20720	81	22	)	)	PUNCT
fcis-20720	81	23	xception	xception	NOUN
fcis-20720	81	24	to	to	PART
fcis-20720	81	25	accurately	accurately	ADV
fcis-20720	81	26	analyze	analyze	VERB
fcis-20720	81	27	product	product	NOUN
fcis-20720	81	28	images	image	NOUN
fcis-20720	81	29	,	,	PUNCT
fcis-20720	81	30	capture	capture	VERB
fcis-20720	81	31	defects	defect	NOUN
fcis-20720	81	32	that	that	PRON
fcis-20720	81	33	are	be	AUX
fcis-20720	81	34	difficult	difficult	ADJ
fcis-20720	81	35	to	to	PART
fcis-20720	81	36	detect	detect	VERB
fcis-20720	81	37	by	by	ADP
fcis-20720	81	38	the	the	DET
fcis-20720	81	39	human	human	ADJ
fcis-20720	81	40	eye	eye	NOUN
fcis-20720	81	41	,	,	PUNCT
fcis-20720	81	42	and	and	CCONJ
fcis-20720	81	43	improve	improve	VERB
fcis-20720	81	44	the	the	DET
fcis-20720	81	45	dataset	dataset	NOUN
fcis-20720	81	46	and	and	CCONJ
fcis-20720	81	47	model	model	NOUN
fcis-20720	81	48	generalization	generalization	NOUN
fcis-20720	81	49	ability	ability	NOUN
fcis-20720	81	50	through	through	ADP
fcis-20720	81	51	data	datum	NOUN
fcis-20720	81	52	augmentation	augmentation	NOUN
fcis-20720	81	53	techniques	technique	NOUN
fcis-20720	81	54	,	,	PUNCT
fcis-20720	81	55	significantly	significantly	ADV
fcis-20720	81	56	improving	improve	VERB
fcis-20720	81	57	defect	defect	ADJ
fcis-20720	81	58	recognition	recognition	NOUN
fcis-20720	81	59	efficiency	efficiency	NOUN
fcis-20720	81	60	.	.	PUNCT
fcis-20720	82	1	figure	figure	NOUN
fcis-20720	82	2	5	5	NUM
fcis-20720	82	3	.	.	PUNCT
fcis-20720	83	1	depthwise	depthwise	VERB
fcis-20720	83	2	separable	separable	ADJ
fcis-20720	83	3	convolution	convolution	NOUN
fcis-20720	83	4	table	table	NOUN
fcis-20720	83	5	1	1	NUM
fcis-20720	83	6	.	.	PUNCT
fcis-20720	83	7	model	model	PROPN
fcis-20720	83	8	results	results	PROPN
fcis-20720	83	9	alzheimer	alzheimer	PROPN
fcis-20720	83	10	's	's	PART
fcis-20720	83	11	disease	disease	NOUN
fcis-20720	83	12	(	(	PUNCT
fcis-20720	83	13	ad	ad	NOUN
fcis-20720	83	14	)	)	PUNCT
fcis-20720	83	15	is	be	AUX
fcis-20720	83	16	a	a	DET
fcis-20720	83	17	neurodegenerative	neurodegenerative	ADJ
fcis-20720	83	18	disease	disease	NOUN
fcis-20720	83	19	in	in	ADP
fcis-20720	83	20	the	the	DET
fcis-20720	83	21	elderly	elderly	ADJ
fcis-20720	83	22	with	with	ADP
fcis-20720	83	23	no	no	DET
fcis-20720	83	24	cure	cure	NOUN
fcis-20720	83	25	.	.	PUNCT
fcis-20720	84	1	magnetic	magnetic	ADJ
fcis-20720	84	2	resonance	resonance	NOUN
fcis-20720	84	3	imaging	imaging	NOUN
fcis-20720	84	4	(	(	PUNCT
fcis-20720	84	5	mri	mri	NOUN
fcis-20720	84	6	)	)	PUNCT
fcis-20720	84	7	is	be	AUX
fcis-20720	84	8	used	use	VERB
fcis-20720	84	9	to	to	PART
fcis-20720	84	10	evaluate	evaluate	VERB
fcis-20720	84	11	ad	ad	NOUN
fcis-20720	84	12	patients	patient	NOUN
fcis-20720	84	13	and	and	CCONJ
fcis-20720	84	14	provide	provide	VERB
fcis-20720	84	15	information	information	NOUN
fcis-20720	84	16	on	on	ADP
fcis-20720	84	17	brain	brain	NOUN
fcis-20720	84	18	atrophy	atrophy	NOUN
fcis-20720	84	19	.	.	PUNCT
fcis-20720	85	1	research	research	NOUN
fcis-20720	85	2	has	have	AUX
fcis-20720	85	3	shown	show	VERB
fcis-20720	85	4	that	that	SCONJ
fcis-20720	85	5	mri	mri	NOUN
fcis-20720	85	6	features	feature	NOUN
fcis-20720	85	7	can	can	AUX
fcis-20720	85	8	predict	predict	VERB
fcis-20720	85	9	the	the	DET
fcis-20720	85	10	development	development	NOUN
fcis-20720	85	11	of	of	ADP
fcis-20720	85	12	alzheimer	alzheimer	PROPN
fcis-20720	85	13	's	's	PART
fcis-20720	85	14	disease	disease	NOUN
fcis-20720	85	15	.	.	PUNCT
fcis-20720	86	1	lin	lin	PROPN
fcis-20720	86	2	q	q	PROPN
fcis-20720	86	3	et	et	PROPN
fcis-20720	86	4	al	al	PROPN
fcis-20720	86	5	.	.	PROPN
fcis-20720	86	6	assisted	assist	VERB
fcis-20720	86	7	artificial	artificial	ADJ
fcis-20720	86	8	neural	neural	ADJ
fcis-20720	86	9	network	network	NOUN
fcis-20720	86	10	technology	technology	NOUN
fcis-20720	86	11	to	to	PART
fcis-20720	86	12	accurately	accurately	ADV
fcis-20720	86	13	predict	predict	VERB
fcis-20720	86	14	the	the	DET
fcis-20720	86	15	progression	progression	NOUN
fcis-20720	86	16	from	from	ADP
fcis-20720	86	17	cognitive	cognitive	ADJ
fcis-20720	86	18	impairment	impairment	NOUN
fcis-20720	86	19	to	to	ADP
fcis-20720	86	20	dementia	dementia	NOUN
fcis-20720	86	21	,	,	PUNCT
fcis-20720	86	22	and	and	CCONJ
fcis-20720	86	23	suggested	suggest	VERB
fcis-20720	86	24	developing	develop	VERB
fcis-20720	86	25	reliable	reliable	ADJ
fcis-20720	86	26	models	model	NOUN
fcis-20720	86	27	to	to	PART
fcis-20720	86	28	assist	assist	VERB
fcis-20720	86	29	clinical	clinical	ADJ
fcis-20720	86	30	doctors	doctor	NOUN
fcis-20720	86	31	in	in	ADP
fcis-20720	86	32	predicting	predict	VERB
fcis-20720	86	33	early	early	ADJ
fcis-20720	86	34	alzheimer	alzheimer	PROPN
fcis-20720	86	35	's	's	PART
fcis-20720	86	36	disease	disease	NOUN
fcis-20720	86	37	.	.	PUNCT
fcis-20720	87	1	3.2	3.2	NUM
fcis-20720	87	2	.	.	PUNCT
fcis-20720	88	1	unsupervised	unsupervised	ADJ
fcis-20720	88	2	learning	learning	NOUN
fcis-20720	88	3	algorithms	algorithm	NOUN
fcis-20720	88	4	unsupervised	unsupervised	ADJ
fcis-20720	88	5	learning	learn	VERB
fcis-20720	88	6	algorithms	algorithm	NOUN
fcis-20720	88	7	search	search	VERB
fcis-20720	88	8	for	for	ADP
fcis-20720	88	9	hidden	hide	VERB
fcis-20720	88	10	patterns	pattern	NOUN
fcis-20720	88	11	and	and	CCONJ
fcis-20720	88	12	structures	structure	NOUN
fcis-20720	88	13	in	in	ADP
fcis-20720	88	14	unlabeled	unlabeled	ADJ
fcis-20720	88	15	data	datum	NOUN
fcis-20720	88	16	,	,	PUNCT
fcis-20720	88	17	including	include	VERB
fcis-20720	88	18	clustering	cluster	VERB
fcis-20720	88	19	algorithms	algorithm	NOUN
fcis-20720	88	20	,	,	PUNCT
fcis-20720	88	21	principal	principal	ADJ
fcis-20720	88	22	component	component	NOUN
fcis-20720	88	23	analysis	analysis	NOUN
fcis-20720	88	24	,	,	PUNCT
fcis-20720	88	25	and	and	CCONJ
fcis-20720	88	26	association	association	NOUN
fcis-20720	88	27	rule	rule	NOUN
fcis-20720	88	28	learning	learning	NOUN
fcis-20720	88	29	.	.	PUNCT
fcis-20720	89	1	the	the	DET
fcis-20720	89	2	clustering	cluster	VERB
fcis-20720	89	3	algorithm	algorithm	NOUN
fcis-20720	89	4	divides	divide	VERB
fcis-20720	89	5	data	datum	NOUN
fcis-20720	89	6	into	into	ADP
fcis-20720	89	7	similar	similar	ADJ
fcis-20720	89	8	clusters	cluster	NOUN
fcis-20720	89	9	,	,	PUNCT
fcis-20720	89	10	resulting	result	VERB
fcis-20720	89	11	in	in	ADP
fcis-20720	89	12	higher	high	ADJ
fcis-20720	89	13	similarity	similarity	NOUN
fcis-20720	89	14	between	between	ADP
fcis-20720	89	15	data	datum	NOUN
fcis-20720	89	16	within	within	ADP
fcis-20720	89	17	the	the	DET
fcis-20720	89	18	same	same	ADJ
fcis-20720	89	19	cluster	cluster	NOUN
fcis-20720	89	20	and	and	CCONJ
fcis-20720	89	21	lower	low	ADJ
fcis-20720	89	22	similarity	similarity	NOUN
fcis-20720	89	23	between	between	ADP
fcis-20720	89	24	different	different	ADJ
fcis-20720	89	25	clusters	cluster	NOUN
fcis-20720	89	26	.	.	PUNCT
fcis-20720	90	1	kmeans	kmean	NOUN
fcis-20720	90	2	clustering	cluster	VERB
fcis-20720	90	3	,	,	PUNCT
fcis-20720	90	4	hierarchical	hierarchical	ADJ
fcis-20720	90	5	clustering	clustering	NOUN
fcis-20720	90	6	,	,	PUNCT
fcis-20720	90	7	and	and	CCONJ
fcis-20720	90	8	other	other	ADJ
fcis-20720	90	9	clustering	clustering	ADJ
fcis-20720	90	10	algorithms	algorithm	NOUN
fcis-20720	90	11	are	be	AUX
fcis-20720	90	12	common	common	ADJ
fcis-20720	90	13	and	and	CCONJ
fcis-20720	90	14	widely	widely	ADV
fcis-20720	90	15	used	use	VERB
fcis-20720	90	16	in	in	ADP
fcis-20720	90	17	fields	field	NOUN
fcis-20720	90	18	such	such	ADJ
fcis-20720	90	19	as	as	ADP
fcis-20720	90	20	market	market	NOUN
fcis-20720	90	21	analysis	analysis	NOUN
fcis-20720	90	22	and	and	CCONJ
fcis-20720	90	23	image	image	NOUN
fcis-20720	90	24	segmentation[4	segmentation[4	NOUN
fcis-20720	90	25	]	]	PUNCT
fcis-20720	90	26	.	.	PUNCT
fcis-20720	91	1	principal	principal	ADJ
fcis-20720	91	2	component	component	NOUN
fcis-20720	91	3	analysis	analysis	NOUN
fcis-20720	91	4	(	(	PUNCT
fcis-20720	91	5	pca	pca	NOUN
fcis-20720	91	6	)	)	PUNCT
fcis-20720	91	7	is	be	AUX
fcis-20720	91	8	a	a	DET
fcis-20720	91	9	dimensionality	dimensionality	NOUN
fcis-20720	91	10	reduction	reduction	NOUN
fcis-20720	91	11	technique	technique	NOUN
fcis-20720	91	12	that	that	PRON
fcis-20720	91	13	maps	map	VERB
fcis-20720	91	14	high	high	ADJ
fcis-20720	91	15	-	-	PUNCT
fcis-20720	91	16	dimensional	dimensional	ADJ
fcis-20720	91	17	data	datum	NOUN
fcis-20720	91	18	to	to	ADP
fcis-20720	91	19	low	low	ADJ
fcis-20720	91	20	dimensional	dimensional	ADJ
fcis-20720	91	21	space	space	NOUN
fcis-20720	91	22	through	through	ADP
fcis-20720	91	23	linear	linear	ADJ
fcis-20720	91	24	transformation	transformation	NOUN
fcis-20720	91	25	,	,	PUNCT
fcis-20720	91	26	preserving	preserve	VERB
fcis-20720	91	27	the	the	DET
fcis-20720	91	28	most	most	ADV
fcis-20720	91	29	important	important	ADJ
fcis-20720	91	30	information	information	NOUN
fcis-20720	91	31	in	in	ADP
fcis-20720	91	32	the	the	DET
fcis-20720	91	33	dataset	dataset	NOUN
fcis-20720	91	34	.	.	PUNCT
fcis-20720	92	1	pca	pca	PROPN
fcis-20720	92	2	plays	play	VERB
fcis-20720	92	3	an	an	DET
fcis-20720	92	4	important	important	ADJ
fcis-20720	92	5	role	role	NOUN
fcis-20720	92	6	in	in	ADP
fcis-20720	92	7	data	datum	NOUN
fcis-20720	92	8	visualization	visualization	NOUN
fcis-20720	92	9	and	and	CCONJ
fcis-20720	92	10	feature	feature	NOUN
fcis-20720	92	11	extraction	extraction	NOUN
fcis-20720	92	12	,	,	PUNCT
fcis-20720	92	13	but	but	CCONJ
fcis-20720	92	14	there	there	PRON
fcis-20720	92	15	is	be	VERB
fcis-20720	92	16	also	also	ADV
fcis-20720	92	17	an	an	DET
fcis-20720	92	18	issue	issue	NOUN
fcis-20720	92	19	of	of	ADP
fcis-20720	92	20	information	information	NOUN
fcis-20720	92	21	loss	loss	NOUN
fcis-20720	92	22	,	,	PUNCT
fcis-20720	92	23	which	which	PRON
fcis-20720	92	24	requires	require	VERB
fcis-20720	92	25	balancing	balance	VERB
fcis-20720	92	26	accuracy	accuracy	NOUN
fcis-20720	92	27	and	and	CCONJ
fcis-20720	92	28	dimension	dimension	NOUN
fcis-20720	92	29	selection	selection	NOUN
fcis-20720	92	30	in	in	ADP
fcis-20720	92	31	the	the	DET
fcis-20720	92	32	dimensionality	dimensionality	NOUN
fcis-20720	92	33	reduction	reduction	NOUN
fcis-20720	92	34	process[5	process[5	NOUN
fcis-20720	92	35	]	]	PUNCT
fcis-20720	92	36	.	.	PUNCT
fcis-20720	93	1	association	association	NOUN
fcis-20720	93	2	rule	rule	NOUN
fcis-20720	93	3	learning	learning	NOUN
fcis-20720	93	4	is	be	AUX
fcis-20720	93	5	used	use	VERB
fcis-20720	93	6	to	to	PART
fcis-20720	93	7	discover	discover	VERB
fcis-20720	93	8	the	the	DET
fcis-20720	93	9	association	association	NOUN
fcis-20720	93	10	relationships	relationship	NOUN
fcis-20720	93	11	between	between	ADP
fcis-20720	93	12	items	item	NOUN
fcis-20720	93	13	in	in	ADP
fcis-20720	93	14	a	a	DET
fcis-20720	93	15	dataset	dataset	NOUN
fcis-20720	93	16	,	,	PUNCT
fcis-20720	93	17	such	such	ADJ
fcis-20720	93	18	as	as	ADP
fcis-20720	93	19	product	product	NOUN
fcis-20720	93	20	combinations	combination	NOUN
fcis-20720	93	21	in	in	ADP
fcis-20720	93	22	shopping	shopping	NOUN
fcis-20720	93	23	basket	basket	NOUN
fcis-20720	93	24	analysis	analysis	NOUN
fcis-20720	93	25	.	.	PUNCT
fcis-20720	94	1	by	by	ADP
fcis-20720	94	2	mining	mining	NOUN
fcis-20720	94	3	association	association	NOUN
fcis-20720	94	4	rules	rule	NOUN
fcis-20720	94	5	,	,	PUNCT
fcis-20720	94	6	businesses	business	NOUN
fcis-20720	94	7	can	can	AUX
fcis-20720	94	8	be	be	AUX
fcis-20720	94	9	assisted	assist	VERB
fcis-20720	94	10	in	in	ADP
fcis-20720	94	11	making	make	VERB
fcis-20720	94	12	precise	precise	ADJ
fcis-20720	94	13	recommendations	recommendation	NOUN
fcis-20720	94	14	and	and	CCONJ
fcis-20720	94	15	optimizing	optimize	VERB
fcis-20720	94	16	sales	sale	NOUN
fcis-20720	94	17	strategies	strategy	NOUN
fcis-20720	94	18	.	.	PUNCT
fcis-20720	95	1	however	however	ADV
fcis-20720	95	2	,	,	PUNCT
fcis-20720	95	3	the	the	DET
fcis-20720	95	4	computational	computational	ADJ
fcis-20720	95	5	cost	cost	NOUN
fcis-20720	95	6	of	of	ADP
fcis-20720	95	7	association	association	NOUN
fcis-20720	95	8	rule	rule	NOUN
fcis-20720	95	9	learning	learn	VERB
fcis-20720	95	10	on	on	ADP
fcis-20720	95	11	largescale	largescale	ADJ
fcis-20720	95	12	datasets	dataset	NOUN
fcis-20720	95	13	is	be	AUX
fcis-20720	95	14	high	high	ADJ
fcis-20720	95	15	and	and	CCONJ
fcis-20720	95	16	requires	require	VERB
fcis-20720	95	17	optimization	optimization	NOUN
fcis-20720	95	18	processing	processing	NOUN
fcis-20720	95	19	.	.	PUNCT
fcis-20720	96	1	3.3	3.3	NUM
fcis-20720	96	2	.	.	PUNCT
fcis-20720	96	3	reinforcement	reinforcement	NOUN
fcis-20720	96	4	learning	learning	NOUN
fcis-20720	96	5	algorithms	algorithms	NOUN
fcis-20720	96	6	reinforcement	reinforcement	NOUN
fcis-20720	96	7	learning	learning	NOUN
fcis-20720	96	8	is	be	AUX
fcis-20720	96	9	an	an	DET
fcis-20720	96	10	algorithm	algorithm	NOUN
fcis-20720	96	11	that	that	PRON
fcis-20720	96	12	formulates	formulate	VERB
fcis-20720	96	13	decision	decision	NOUN
fcis-20720	96	14	strategies	strategy	NOUN
fcis-20720	96	15	through	through	ADP
fcis-20720	96	16	interactive	interactive	ADJ
fcis-20720	96	17	learning	learning	NOUN
fcis-20720	96	18	between	between	ADP
fcis-20720	96	19	agents	agent	NOUN
fcis-20720	96	20	and	and	CCONJ
fcis-20720	96	21	the	the	DET
fcis-20720	96	22	environment	environment	NOUN
fcis-20720	96	23	,	,	PUNCT
fcis-20720	96	24	including	include	VERB
fcis-20720	96	25	q	q	NOUN
fcis-20720	96	26	-	-	PUNCT
fcis-20720	96	27	learning	learning	ADJ
fcis-20720	96	28	and	and	CCONJ
fcis-20720	96	29	deep	deep	ADJ
fcis-20720	96	30	reinforcement	reinforcement	NOUN
fcis-20720	96	31	learning	learning	NOUN
fcis-20720	96	32	.	.	PUNCT
fcis-20720	97	1	learning	learn	VERB
fcis-20720	97	2	is	be	AUX
fcis-20720	97	3	a	a	DET
fcis-20720	97	4	value	value	NOUN
fcis-20720	97	5	function	function	NOUN
fcis-20720	97	6	based	base	VERB
fcis-20720	97	7	reinforcement	reinforcement	NOUN
fcis-20720	97	8	learning	learning	NOUN
fcis-20720	97	9	method	method	NOUN
fcis-20720	97	10	that	that	PRON
fcis-20720	97	11	formulates	formulate	VERB
fcis-20720	97	12	optimal	optimal	ADJ
fcis-20720	97	13	strategies	strategy	NOUN
fcis-20720	97	14	by	by	ADP
fcis-20720	97	15	learning	learn	VERB
fcis-20720	97	16	the	the	DET
fcis-20720	97	17	value	value	NOUN
fcis-20720	97	18	functions	function	NOUN
fcis-20720	97	19	of	of	ADP
fcis-20720	97	20	states	state	NOUN
fcis-20720	97	21	and	and	CCONJ
fcis-20720	97	22	actions	action	NOUN
fcis-20720	97	23	.	.	PUNCT
fcis-20720	98	1	q	q	X
fcis-20720	98	2	-	-	PUNCT
fcis-20720	98	3	learning	learning	NOUN
fcis-20720	98	4	performs	perform	VERB
fcis-20720	98	5	well	well	ADV
fcis-20720	98	6	in	in	ADP
fcis-20720	98	7	fields	field	NOUN
fcis-20720	98	8	such	such	ADJ
fcis-20720	98	9	as	as	ADP
fcis-20720	98	10	transportation	transportation	NOUN
fcis-20720	98	11	,	,	PUNCT
fcis-20720	98	12	gaming	gaming	NOUN
fcis-20720	98	13	,	,	PUNCT
fcis-20720	98	14	and	and	CCONJ
fcis-20720	98	15	robot	robot	NOUN
fcis-20720	98	16	control	control	NOUN
fcis-20720	98	17	,	,	PUNCT
fcis-20720	98	18	but	but	CCONJ
fcis-20720	98	19	is	be	AUX
fcis-20720	98	20	easily	easily	ADV
fcis-20720	98	21	limited	limit	VERB
fcis-20720	98	22	by	by	ADP
fcis-20720	98	23	dimensional	dimensional	ADJ
fcis-20720	98	24	disasters	disaster	NOUN
fcis-20720	98	25	and	and	CCONJ
fcis-20720	98	26	sample	sample	NOUN
fcis-20720	98	27	efficiency	efficiency	NOUN
fcis-20720	98	28	in	in	ADP
fcis-20720	98	29	complex	complex	ADJ
fcis-20720	98	30	environments	environment	NOUN
fcis-20720	98	31	.	.	PUNCT
fcis-20720	99	1	alnazir	alnazir	VERB
fcis-20720	99	2	a	a	DET
fcis-20720	99	3	m	m	NOUN
fcis-20720	99	4	a	a	PRON
fcis-20720	99	5	et	et	NOUN
fcis-20720	99	6	al	al	PROPN
fcis-20720	99	7	.	.	PUNCT
fcis-20720	100	1	[	[	X
fcis-20720	100	2	5	5	NUM
fcis-20720	100	3	]	]	PUNCT
fcis-20720	100	4	used	use	VERB
fcis-20720	100	5	optimization	optimization	NOUN
fcis-20720	100	6	techniques	technique	NOUN
fcis-20720	100	7	based	base	VERB
fcis-20720	100	8	on	on	ADP
fcis-20720	100	9	available	available	ADJ
fcis-20720	100	10	space	space	NOUN
fcis-20720	100	11	of	of	ADP
fcis-20720	100	12	discharge	discharge	NOUN
fcis-20720	100	13	routes	route	NOUN
fcis-20720	100	14	to	to	PART
fcis-20720	100	15	solve	solve	VERB
fcis-20720	100	16	the	the	DET
fcis-20720	100	17	control	control	NOUN
fcis-20720	100	18	problem	problem	NOUN
fcis-20720	100	19	of	of	ADP
fcis-20720	100	20	intersection	intersection	NOUN
fcis-20720	100	21	capacity	capacity	NOUN
fcis-20720	100	22	in	in	ADP
fcis-20720	100	23	urban	urban	ADJ
fcis-20720	100	24	transportation	transportation	NOUN
fcis-20720	100	25	networks	network	NOUN
fcis-20720	100	26	.	.	PUNCT
fcis-20720	101	1	they	they	PRON
fcis-20720	101	2	managed	manage	VERB
fcis-20720	101	3	signalized	signalize	VERB
fcis-20720	101	4	intersections	intersection	NOUN
fcis-20720	101	5	through	through	ADP
fcis-20720	101	6	deep	deep	ADJ
fcis-20720	101	7	q	q	ADJ
fcis-20720	101	8	-	-	PUNCT
fcis-20720	101	9	learning	learn	VERB
fcis-20720	101	10	agents	agent	NOUN
fcis-20720	101	11	and	and	CCONJ
fcis-20720	101	12	used	use	VERB
fcis-20720	101	13	density	density	NOUN
fcis-20720	101	14	and	and	CCONJ
fcis-20720	101	15	velocity	velocity	NOUN
fcis-20720	101	16	measurements	measurement	NOUN
fcis-20720	101	17	to	to	PART
fcis-20720	101	18	guide	guide	VERB
fcis-20720	101	19	control	control	NOUN
fcis-20720	101	20	strategies	strategy	NOUN
fcis-20720	101	21	.	.	PUNCT
fcis-20720	102	1	in	in	ADP
fcis-20720	102	2	the	the	DET
fcis-20720	102	3	simulation	simulation	NOUN
fcis-20720	102	4	micro	micro	PROPN
fcis-20720	102	5	model	model	PROPN
fcis-20720	102	6	of	of	ADP
fcis-20720	102	7	real	real	ADJ
fcis-20720	102	8	urban	urban	ADJ
fcis-20720	102	9	transportation	transportation	NOUN
fcis-20720	102	10	networks	network	NOUN
fcis-20720	102	11	,	,	PUNCT
fcis-20720	102	12	the	the	DET
fcis-20720	102	13	discharge	discharge	NOUN
fcis-20720	102	14	based	base	VERB
fcis-20720	102	15	controller	controller	NOUN
fcis-20720	102	16	has	have	AUX
fcis-20720	102	17	significantly	significantly	ADV
fcis-20720	102	18	alleviated	alleviate	VERB
fcis-20720	102	19	operational	operational	ADJ
fcis-20720	102	20	problems	problem	NOUN
fcis-20720	102	21	and	and	CCONJ
fcis-20720	102	22	achieved	achieve	VERB
fcis-20720	102	23	superior	superior	ADJ
fcis-20720	102	24	results	result	NOUN
fcis-20720	102	25	through	through	ADP
fcis-20720	102	26	comparative	comparative	ADJ
fcis-20720	102	27	testing	testing	NOUN
fcis-20720	102	28	with	with	ADP
fcis-20720	102	29	other	other	ADJ
fcis-20720	102	30	methods	method	NOUN
fcis-20720	102	31	.	.	PUNCT
fcis-20720	103	1	deep	deep	ADJ
fcis-20720	103	2	reinforcement	reinforcement	NOUN
fcis-20720	103	3	learning	learning	NOUN
fcis-20720	103	4	combines	combine	VERB
fcis-20720	103	5	deep	deep	ADJ
fcis-20720	103	6	neural	neural	ADJ
fcis-20720	103	7	networks	network	NOUN
fcis-20720	103	8	with	with	ADP
fcis-20720	103	9	reinforcement	reinforcement	NOUN
fcis-20720	103	10	learning	learning	NOUN
fcis-20720	103	11	to	to	PART
fcis-20720	103	12	learn	learn	VERB
fcis-20720	103	13	complex	complex	ADJ
fcis-20720	103	14	strategies	strategy	NOUN
fcis-20720	103	15	through	through	ADP
fcis-20720	103	16	neural	neural	ADJ
fcis-20720	103	17	networks	network	NOUN
fcis-20720	103	18	.	.	PUNCT
fcis-20720	104	1	the	the	DET
fcis-20720	104	2	success	success	NOUN
fcis-20720	104	3	of	of	ADP
fcis-20720	104	4	alphago	alphago	NOUN
fcis-20720	104	5	is	be	AUX
fcis-20720	104	6	a	a	DET
fcis-20720	104	7	typical	typical	ADJ
fcis-20720	104	8	case	case	NOUN
fcis-20720	104	9	of	of	ADP
fcis-20720	104	10	deep	deep	ADJ
fcis-20720	104	11	reinforcement	reinforcement	NOUN
fcis-20720	104	12	learning	learning	NOUN
fcis-20720	104	13	,	,	PUNCT
fcis-20720	104	14	however	however	ADV
fcis-20720	104	15	,	,	PUNCT
fcis-20720	104	16	the	the	DET
fcis-20720	104	17	training	training	NOUN
fcis-20720	104	18	difficulty	difficulty	NOUN
fcis-20720	104	19	of	of	ADP
fcis-20720	104	20	deep	deep	ADJ
fcis-20720	104	21	reinforcement	reinforcement	NOUN
fcis-20720	104	22	learning	learning	NOUN
fcis-20720	104	23	is	be	AUX
fcis-20720	104	24	high	high	ADJ
fcis-20720	104	25	,	,	PUNCT
fcis-20720	104	26	and	and	CCONJ
fcis-20720	104	27	it	it	PRON
fcis-20720	104	28	needs	need	VERB
fcis-20720	104	29	to	to	PART
fcis-20720	104	30	overcome	overcome	VERB
fcis-20720	104	31	problems	problem	NOUN
fcis-20720	104	32	such	such	ADJ
fcis-20720	104	33	as	as	ADP
fcis-20720	104	34	stability	stability	NOUN
fcis-20720	104	35	and	and	CCONJ
fcis-20720	104	36	convergence	convergence	NOUN
fcis-20720	104	37	.	.	PUNCT
fcis-20720	105	1	che	che	PROPN
fcis-20720	105	2	c	c	X
fcis-20720	105	3	et	et	PROPN
fcis-20720	105	4	al	al	PROPN
fcis-20720	105	5	.	.	PROPN
fcis-20720	105	6	focus	focus	VERB
fcis-20720	105	7	on	on	ADP
fcis-20720	105	8	the	the	DET
fcis-20720	105	9	interdisciplinary	interdisciplinary	ADJ
fcis-20720	105	10	integration	integration	NOUN
fcis-20720	105	11	of	of	ADP
fcis-20720	105	12	mechanical	mechanical	ADJ
fcis-20720	105	13	engineering	engineering	NOUN
fcis-20720	105	14	and	and	CCONJ
fcis-20720	105	15	computer	computer	NOUN
fcis-20720	105	16	science	science	NOUN
fcis-20720	105	17	.	.	PUNCT
fcis-20720	106	1	through	through	ADP
fcis-20720	106	2	deep	deep	ADJ
fcis-20720	106	3	learning	learning	NOUN
fcis-20720	106	4	,	,	PUNCT
fcis-20720	106	5	especially	especially	ADV
fcis-20720	106	6	2d	2d	NUM
fcis-20720	106	7	convolutional	convolutional	ADJ
fcis-20720	106	8	neural	neural	ADJ
fcis-20720	106	9	networks	network	NOUN
fcis-20720	106	10	,	,	PUNCT
fcis-20720	106	11	the	the	DET
fcis-20720	106	12	original	original	ADJ
fcis-20720	106	13	sensor	sensor	NOUN
fcis-20720	106	14	data	datum	NOUN
fcis-20720	106	15	is	be	AUX
fcis-20720	106	16	transformed	transform	VERB
fcis-20720	106	17	into	into	ADP
fcis-20720	106	18	accurate	accurate	ADJ
fcis-20720	106	19	robot	robot	NOUN
fcis-20720	106	20	position	position	NOUN
fcis-20720	106	21	prediction	prediction	NOUN
fcis-20720	106	22	.	.	PUNCT
fcis-20720	107	1	73	73	NUM
fcis-20720	107	2	figure	figure	NOUN
fcis-20720	107	3	6	6	NUM
fcis-20720	107	4	.	.	PUNCT
fcis-20720	107	5	q	q	X
fcis-20720	107	6	-	-	PUNCT
fcis-20720	107	7	learning	learning	NOUN
fcis-20720	107	8	&	&	CCONJ
fcis-20720	107	9	deep	deep	ADJ
fcis-20720	107	10	q	q	NOUN
fcis-20720	107	11	-	-	PUNCT
fcis-20720	107	12	learning	learn	VERB
fcis-20720	107	13	through	through	ADP
fcis-20720	107	14	the	the	DET
fcis-20720	107	15	training	training	NOUN
fcis-20720	107	16	of	of	ADP
fcis-20720	107	17	asymmetric	asymmetric	ADJ
fcis-20720	107	18	gaussian	gaussian	ADJ
fcis-20720	107	19	loss	loss	NOUN
fcis-20720	107	20	functions	function	NOUN
fcis-20720	107	21	,	,	PUNCT
fcis-20720	107	22	the	the	DET
fcis-20720	107	23	mean	mean	ADJ
fcis-20720	107	24	square	square	ADJ
fcis-20720	107	25	error	error	NOUN
fcis-20720	107	26	is	be	AUX
fcis-20720	107	27	effectively	effectively	ADV
fcis-20720	107	28	reduced	reduce	VERB
fcis-20720	107	29	.	.	PUNCT
fcis-20720	108	1	with	with	ADP
fcis-20720	108	2	the	the	DET
fcis-20720	108	3	continuous	continuous	ADJ
fcis-20720	108	4	development	development	NOUN
fcis-20720	108	5	of	of	ADP
fcis-20720	108	6	deep	deep	ADJ
fcis-20720	108	7	learning	learning	NOUN
fcis-20720	108	8	technology	technology	NOUN
fcis-20720	108	9	,	,	PUNCT
fcis-20720	108	10	more	more	ADJ
fcis-20720	108	11	and	and	CCONJ
fcis-20720	108	12	more	more	ADJ
fcis-20720	108	13	algorithms	algorithm	NOUN
fcis-20720	108	14	are	be	AUX
fcis-20720	108	15	proposed	propose	VERB
fcis-20720	108	16	to	to	PART
fcis-20720	108	17	solve	solve	VERB
fcis-20720	108	18	various	various	ADJ
fcis-20720	108	19	problems	problem	NOUN
fcis-20720	108	20	.	.	PUNCT
fcis-20720	109	1	however	however	ADV
fcis-20720	109	2	,	,	PUNCT
fcis-20720	109	3	a	a	DET
fcis-20720	109	4	single	single	ADJ
fcis-20720	109	5	algorithm	algorithm	NOUN
fcis-20720	109	6	is	be	AUX
fcis-20720	109	7	often	often	ADV
fcis-20720	109	8	difficult	difficult	ADJ
fcis-20720	109	9	to	to	PART
fcis-20720	109	10	achieve	achieve	VERB
fcis-20720	109	11	optimal	optimal	ADJ
fcis-20720	109	12	results	result	NOUN
fcis-20720	109	13	,	,	PUNCT
fcis-20720	109	14	so	so	CCONJ
fcis-20720	109	15	it	it	PRON
fcis-20720	109	16	is	be	AUX
fcis-20720	109	17	necessary	necessary	ADJ
fcis-20720	109	18	to	to	PART
fcis-20720	109	19	fuse	fuse	VERB
fcis-20720	109	20	and	and	CCONJ
fcis-20720	109	21	integrate	integrate	VERB
fcis-20720	109	22	multiple	multiple	ADJ
fcis-20720	109	23	algorithms	algorithm	NOUN
fcis-20720	109	24	to	to	PART
fcis-20720	109	25	achieve	achieve	VERB
fcis-20720	109	26	higher	high	ADJ
fcis-20720	109	27	performance[6	performance[6	NOUN
fcis-20720	109	28	]	]	PUNCT
fcis-20720	109	29	.	.	PUNCT
fcis-20720	110	1	the	the	DET
fcis-20720	110	2	fusion	fusion	NOUN
fcis-20720	110	3	and	and	CCONJ
fcis-20720	110	4	ensemble	ensemble	ADJ
fcis-20720	110	5	optimization	optimization	NOUN
fcis-20720	110	6	of	of	ADP
fcis-20720	110	7	machine	machine	NOUN
fcis-20720	110	8	learning	learning	NOUN
fcis-20720	110	9	models	model	NOUN
fcis-20720	110	10	based	base	VERB
fcis-20720	110	11	on	on	ADP
fcis-20720	110	12	swarm	swarm	NOUN
fcis-20720	110	13	intelligence	intelligence	NOUN
fcis-20720	110	14	algorithms	algorithm	NOUN
fcis-20720	110	15	is	be	AUX
fcis-20720	110	16	a	a	DET
fcis-20720	110	17	solution	solution	NOUN
fcis-20720	110	18	.	.	PUNCT
fcis-20720	111	1	huang	huang	PROPN
fcis-20720	111	2	et	et	PROPN
fcis-20720	111	3	al	al	PROPN
fcis-20720	111	4	.	.	PROPN
fcis-20720	111	5	combined	combine	VERB
fcis-20720	111	6	adaptive	adaptive	ADJ
fcis-20720	111	7	gain	gain	NOUN
fcis-20720	111	8	control	control	NOUN
fcis-20720	111	9	and	and	CCONJ
fcis-20720	111	10	clustering	clustering	ADJ
fcis-20720	111	11	algorithm	algorithm	NOUN
fcis-20720	111	12	is	be	AUX
fcis-20720	111	13	used	use	VERB
fcis-20720	111	14	to	to	PART
fcis-20720	111	15	implement	implement	VERB
fcis-20720	111	16	a	a	DET
fcis-20720	111	17	communication	communication	NOUN
fcis-20720	111	18	free	free	ADJ
fcis-20720	111	19	system	system	NOUN
fcis-20720	111	20	with	with	ADP
fcis-20720	111	21	adversarial	adversarial	ADJ
fcis-20720	111	22	agents	agent	NOUN
fcis-20720	111	23	.	.	PUNCT
fcis-20720	112	1	adopting	adopt	VERB
fcis-20720	112	2	a	a	DET
fcis-20720	112	3	biologically	biologically	ADV
fcis-20720	112	4	inspired	inspire	VERB
fcis-20720	112	5	flocking	flocking	NOUN
fcis-20720	112	6	algorithm	algorithm	NOUN
fcis-20720	112	7	,	,	PUNCT
fcis-20720	112	8	population	population	NOUN
fcis-20720	112	9	observation	observation	NOUN
fcis-20720	112	10	is	be	AUX
fcis-20720	112	11	enhanced	enhance	VERB
fcis-20720	112	12	through	through	ADP
fcis-20720	112	13	adaptive	adaptive	ADJ
fcis-20720	112	14	gain	gain	NOUN
fcis-20720	112	15	control	control	NOUN
fcis-20720	112	16	and	and	CCONJ
fcis-20720	112	17	partial	partial	ADJ
fcis-20720	112	18	kalman	kalman	NOUN
fcis-20720	112	19	filters[7	filters[7	PUNCT
fcis-20720	112	20	]	]	X
fcis-20720	112	21	.	.	PUNCT
fcis-20720	113	1	finally	finally	ADV
fcis-20720	113	2	,	,	PUNCT
fcis-20720	113	3	through	through	ADP
fcis-20720	113	4	the	the	DET
fcis-20720	113	5	computer	computer	NOUN
fcis-20720	113	6	vision	vision	NOUN
fcis-20720	113	7	target	target	NOUN
fcis-20720	113	8	recognition	recognition	NOUN
fcis-20720	113	9	of	of	ADP
fcis-20720	113	10	swarm	swarm	NOUN
fcis-20720	113	11	drones	drone	NOUN
fcis-20720	113	12	,	,	PUNCT
fcis-20720	113	13	the	the	DET
fcis-20720	113	14	simulation	simulation	NOUN
fcis-20720	113	15	system	system	NOUN
fcis-20720	113	16	was	be	AUX
fcis-20720	113	17	successfully	successfully	ADV
fcis-20720	113	18	transformed	transform	VERB
fcis-20720	113	19	into	into	ADP
fcis-20720	113	20	practical	practical	ADJ
fcis-20720	113	21	and	and	CCONJ
fcis-20720	113	22	reliable	reliable	ADJ
fcis-20720	113	23	applications	application	NOUN
fcis-20720	113	24	.	.	PUNCT
fcis-20720	114	1	4	4	X
fcis-20720	114	2	.	.	X
fcis-20720	114	3	the	the	DET
fcis-20720	114	4	development	development	NOUN
fcis-20720	114	5	of	of	ADP
fcis-20720	114	6	machine	machine	NOUN
fcis-20720	114	7	learning	learn	VERB
fcis-20720	114	8	the	the	DET
fcis-20720	114	9	go	go	NOUN
fcis-20720	114	10	battle	battle	NOUN
fcis-20720	114	11	between	between	ADP
fcis-20720	114	12	alphago	alphago	PROPN
fcis-20720	114	13	and	and	CCONJ
fcis-20720	114	14	li	li	PROPN
fcis-20720	114	15	shishi	shishi	PROPN
fcis-20720	114	16	marked	mark	VERB
fcis-20720	114	17	a	a	DET
fcis-20720	114	18	huge	huge	ADJ
fcis-20720	114	19	advancement	advancement	NOUN
fcis-20720	114	20	in	in	ADP
fcis-20720	114	21	artificial	artificial	ADJ
fcis-20720	114	22	intelligence	intelligence	NOUN
fcis-20720	114	23	,	,	PUNCT
fcis-20720	114	24	with	with	ADP
fcis-20720	114	25	a	a	DET
fcis-20720	114	26	4:1	4:1	NUM
fcis-20720	114	27	victory	victory	NOUN
fcis-20720	114	28	triggering	trigger	VERB
fcis-20720	114	29	profound	profound	ADJ
fcis-20720	114	30	attention	attention	NOUN
fcis-20720	114	31	to	to	ADP
fcis-20720	114	32	the	the	DET
fcis-20720	114	33	development	development	NOUN
fcis-20720	114	34	of	of	ADP
fcis-20720	114	35	artificial	artificial	ADJ
fcis-20720	114	36	intelligence[8	intelligence[8	NOUN
fcis-20720	114	37	]	]	PUNCT
fcis-20720	114	38	.	.	PUNCT
fcis-20720	115	1	this	this	DET
fcis-20720	115	2	event	event	NOUN
fcis-20720	115	3	highlights	highlight	VERB
fcis-20720	115	4	the	the	DET
fcis-20720	115	5	powerful	powerful	ADJ
fcis-20720	115	6	capabilities	capability	NOUN
fcis-20720	115	7	of	of	ADP
fcis-20720	115	8	machine	machine	NOUN
fcis-20720	115	9	learning	learning	NOUN
fcis-20720	115	10	and	and	CCONJ
fcis-20720	115	11	lays	lay	VERB
fcis-20720	115	12	the	the	DET
fcis-20720	115	13	foundation	foundation	NOUN
fcis-20720	115	14	for	for	ADP
fcis-20720	115	15	showcasing	showcase	VERB
fcis-20720	115	16	the	the	DET
fcis-20720	115	17	promising	promising	ADJ
fcis-20720	115	18	future	future	NOUN
fcis-20720	115	19	of	of	ADP
fcis-20720	115	20	deep	deep	ADJ
fcis-20720	115	21	level	level	NOUN
fcis-20720	115	22	machine	machine	NOUN
fcis-20720	115	23	learning	learning	NOUN
fcis-20720	115	24	.	.	PUNCT
fcis-20720	116	1	with	with	ADP
fcis-20720	116	2	the	the	DET
fcis-20720	116	3	support	support	NOUN
fcis-20720	116	4	of	of	ADP
fcis-20720	116	5	brain	brain	NOUN
fcis-20720	116	6	like	like	ADP
fcis-20720	116	7	computer	computer	NOUN
fcis-20720	116	8	cognitive	cognitive	ADJ
fcis-20720	116	9	technology	technology	NOUN
fcis-20720	116	10	,	,	PUNCT
fcis-20720	116	11	machine	machine	NOUN
fcis-20720	116	12	learning	learning	NOUN
fcis-20720	116	13	is	be	AUX
fcis-20720	116	14	bound	bind	VERB
fcis-20720	116	15	to	to	PART
fcis-20720	116	16	usher	usher	VERB
fcis-20720	116	17	in	in	ADP
fcis-20720	116	18	greater	great	ADJ
fcis-20720	116	19	development	development	NOUN
fcis-20720	116	20	.	.	PUNCT
fcis-20720	117	1	it	it	PRON
fcis-20720	117	2	is	be	AUX
fcis-20720	117	3	crucial	crucial	ADJ
fcis-20720	117	4	to	to	PART
fcis-20720	117	5	conduct	conduct	VERB
fcis-20720	117	6	in	in	ADP
fcis-20720	117	7	-	-	PUNCT
fcis-20720	117	8	depth	depth	NOUN
fcis-20720	117	9	research	research	NOUN
fcis-20720	117	10	on	on	ADP
fcis-20720	117	11	the	the	DET
fcis-20720	117	12	performance	performance	NOUN
fcis-20720	117	13	,	,	PUNCT
fcis-20720	117	14	structure	structure	NOUN
fcis-20720	117	15	,	,	PUNCT
fcis-20720	117	16	learning	learning	NOUN
fcis-20720	117	17	,	,	PUNCT
fcis-20720	117	18	and	and	CCONJ
fcis-20720	117	19	functional	functional	ADJ
fcis-20720	117	20	models	model	NOUN
fcis-20720	117	21	of	of	ADP
fcis-20720	117	22	machine	machine	NOUN
fcis-20720	117	23	learning	learn	VERB
fcis-20720	117	24	to	to	PART
fcis-20720	117	25	replace	replace	VERB
fcis-20720	117	26	weak	weak	ADJ
fcis-20720	117	27	artificial	artificial	ADJ
fcis-20720	117	28	intelligence	intelligence	NOUN
fcis-20720	117	29	and	and	CCONJ
fcis-20720	117	30	enhance	enhance	VERB
fcis-20720	117	31	intelligence	intelligence	NOUN
fcis-20720	117	32	in	in	ADP
fcis-20720	117	33	order	order	NOUN
fcis-20720	117	34	to	to	PART
fcis-20720	117	35	meet	meet	VERB
fcis-20720	117	36	the	the	DET
fcis-20720	117	37	needs	need	NOUN
fcis-20720	117	38	of	of	ADP
fcis-20720	117	39	advanced	advanced	ADJ
fcis-20720	117	40	development	development	NOUN
fcis-20720	117	41	.	.	PUNCT
fcis-20720	118	1	in	in	ADP
fcis-20720	118	2	the	the	DET
fcis-20720	118	3	future	future	NOUN
fcis-20720	118	4	,	,	PUNCT
fcis-20720	118	5	machine	machine	NOUN
fcis-20720	118	6	learning	learning	NOUN
fcis-20720	118	7	is	be	AUX
fcis-20720	118	8	expected	expect	VERB
fcis-20720	118	9	to	to	PART
fcis-20720	118	10	combine	combine	VERB
fcis-20720	118	11	human	human	ADJ
fcis-20720	118	12	cognition	cognition	NOUN
fcis-20720	118	13	,	,	PUNCT
fcis-20720	118	14	learning	learning	NOUN
fcis-20720	118	15	,	,	PUNCT
fcis-20720	118	16	thinking	thinking	NOUN
fcis-20720	118	17	,	,	PUNCT
fcis-20720	118	18	reasoning	reasoning	NOUN
fcis-20720	118	19	,	,	PUNCT
fcis-20720	118	20	and	and	CCONJ
fcis-20720	118	21	other	other	ADJ
fcis-20720	118	22	aspects	aspect	NOUN
fcis-20720	118	23	to	to	PART
fcis-20720	118	24	enhance	enhance	VERB
fcis-20720	118	25	their	their	PRON
fcis-20720	118	26	abilities	ability	NOUN
fcis-20720	118	27	.	.	PUNCT
fcis-20720	119	1	continuously	continuously	ADV
fcis-20720	119	2	upgrading	upgrade	VERB
fcis-20720	119	3	,	,	PUNCT
fcis-20720	119	4	optimizing	optimizing	NOUN
fcis-20720	119	5	,	,	PUNCT
fcis-20720	119	6	and	and	CCONJ
fcis-20720	119	7	improving	improve	VERB
fcis-20720	119	8	artificial	artificial	ADJ
fcis-20720	119	9	intelligence	intelligence	NOUN
fcis-20720	119	10	is	be	AUX
fcis-20720	119	11	the	the	DET
fcis-20720	119	12	key	key	NOUN
fcis-20720	119	13	to	to	ADP
fcis-20720	119	14	ensuring	ensure	VERB
fcis-20720	119	15	the	the	DET
fcis-20720	119	16	sustainable	sustainable	ADJ
fcis-20720	119	17	development	development	NOUN
fcis-20720	119	18	of	of	ADP
fcis-20720	119	19	advanced	advanced	ADJ
fcis-20720	119	20	science	science	NOUN
fcis-20720	119	21	and	and	CCONJ
fcis-20720	119	22	technology	technology	NOUN
fcis-20720	119	23	.	.	PUNCT
fcis-20720	120	1	with	with	ADP
fcis-20720	120	2	the	the	DET
fcis-20720	120	3	support	support	NOUN
fcis-20720	120	4	of	of	ADP
fcis-20720	120	5	cloud	cloud	NOUN
fcis-20720	120	6	computing	computing	NOUN
fcis-20720	120	7	,	,	PUNCT
fcis-20720	120	8	the	the	DET
fcis-20720	120	9	internet	internet	NOUN
fcis-20720	120	10	of	of	ADP
fcis-20720	120	11	things	thing	NOUN
fcis-20720	120	12	and	and	CCONJ
fcis-20720	120	13	big	big	ADJ
fcis-20720	120	14	data	datum	NOUN
fcis-20720	120	15	,	,	PUNCT
fcis-20720	120	16	machine	machine	NOUN
fcis-20720	120	17	learning	learning	NOUN
fcis-20720	120	18	will	will	AUX
fcis-20720	120	19	promote	promote	VERB
fcis-20720	120	20	the	the	DET
fcis-20720	120	21	development	development	NOUN
fcis-20720	120	22	of	of	ADP
fcis-20720	120	23	digital	digital	ADJ
fcis-20720	120	24	technology	technology	NOUN
fcis-20720	120	25	,	,	PUNCT
fcis-20720	120	26	pay	pay	VERB
fcis-20720	120	27	attention	attention	NOUN
fcis-20720	120	28	to	to	ADP
fcis-20720	120	29	the	the	DET
fcis-20720	120	30	comprehensive	comprehensive	ADJ
fcis-20720	120	31	role	role	NOUN
fcis-20720	120	32	,	,	PUNCT
fcis-20720	120	33	promote	promote	VERB
fcis-20720	120	34	to	to	ADP
fcis-20720	120	35	the	the	DET
fcis-20720	120	36	height	height	NOUN
fcis-20720	120	37	of	of	ADP
fcis-20720	120	38	interpersonal	interpersonal	ADJ
fcis-20720	120	39	interaction	interaction	NOUN
fcis-20720	120	40	,	,	PUNCT
fcis-20720	120	41	and	and	CCONJ
fcis-20720	120	42	realize	realize	VERB
fcis-20720	120	43	the	the	DET
fcis-20720	120	44	practical	practical	ADJ
fcis-20720	120	45	application	application	NOUN
fcis-20720	120	46	of	of	ADP
fcis-20720	120	47	autonomous	autonomous	ADJ
fcis-20720	120	48	vehicle	vehicle	NOUN
fcis-20720	120	49	and	and	CCONJ
fcis-20720	120	50	other	other	ADJ
fcis-20720	120	51	fields	field	NOUN
fcis-20720	120	52	.	.	PUNCT
fcis-20720	121	1	the	the	DET
fcis-20720	121	2	widespread	widespread	ADJ
fcis-20720	121	3	application	application	NOUN
fcis-20720	121	4	of	of	ADP
fcis-20720	121	5	machine	machine	NOUN
fcis-20720	121	6	learning	learning	NOUN
fcis-20720	121	7	will	will	AUX
fcis-20720	121	8	bring	bring	VERB
fcis-20720	121	9	great	great	ADJ
fcis-20720	121	10	convenience	convenience	NOUN
fcis-20720	121	11	to	to	ADP
fcis-20720	121	12	people	people	NOUN
fcis-20720	121	13	's	's	PART
fcis-20720	121	14	daily	daily	ADJ
fcis-20720	121	15	life	life	NOUN
fcis-20720	121	16	and	and	CCONJ
fcis-20720	121	17	production	production	NOUN
fcis-20720	121	18	,	,	PUNCT
fcis-20720	121	19	promoting	promote	VERB
fcis-20720	121	20	the	the	DET
fcis-20720	121	21	development	development	NOUN
fcis-20720	121	22	of	of	ADP
fcis-20720	121	23	personalized	personalized	ADJ
fcis-20720	121	24	and	and	CCONJ
fcis-20720	121	25	intelligent	intelligent	ADJ
fcis-20720	121	26	fields	field	NOUN
fcis-20720	121	27	such	such	ADJ
fcis-20720	121	28	as	as	ADP
fcis-20720	121	29	education	education	NOUN
fcis-20720	121	30	,	,	PUNCT
fcis-20720	121	31	finance	finance	NOUN
fcis-20720	121	32	,	,	PUNCT
fcis-20720	121	33	and	and	CCONJ
fcis-20720	121	34	healthcare	healthcare	PROPN
fcis-20720	121	35	.	.	PUNCT
fcis-20720	122	1	in	in	ADP
fcis-20720	122	2	the	the	DET
fcis-20720	122	3	field	field	NOUN
fcis-20720	122	4	of	of	ADP
fcis-20720	122	5	education	education	NOUN
fcis-20720	122	6	,	,	PUNCT
fcis-20720	122	7	machine	machine	NOUN
fcis-20720	122	8	learning	learning	NOUN
fcis-20720	122	9	can	can	AUX
fcis-20720	122	10	customize	customize	VERB
fcis-20720	122	11	personalized	personalized	ADJ
fcis-20720	122	12	learning	learn	VERB
fcis-20720	122	13	paths	path	NOUN
fcis-20720	122	14	and	and	CCONJ
fcis-20720	122	15	educational	educational	ADJ
fcis-20720	122	16	resources	resource	NOUN
fcis-20720	122	17	to	to	PART
fcis-20720	122	18	enhance	enhance	VERB
fcis-20720	122	19	learning	learn	VERB
fcis-20720	122	20	effectiveness	effectiveness	NOUN
fcis-20720	122	21	.	.	PUNCT
fcis-20720	123	1	in	in	ADP
fcis-20720	123	2	the	the	DET
fcis-20720	123	3	financial	financial	ADJ
fcis-20720	123	4	field	field	NOUN
fcis-20720	123	5	,	,	PUNCT
fcis-20720	123	6	machine	machine	NOUN
fcis-20720	123	7	learning	learning	NOUN
fcis-20720	123	8	can	can	AUX
fcis-20720	123	9	optimize	optimize	VERB
fcis-20720	123	10	risk	risk	NOUN
fcis-20720	123	11	management	management	NOUN
fcis-20720	123	12	and	and	CCONJ
fcis-20720	123	13	investment	investment	NOUN
fcis-20720	123	14	strategies	strategy	NOUN
fcis-20720	123	15	,	,	PUNCT
fcis-20720	123	16	and	and	CCONJ
fcis-20720	123	17	improve	improve	VERB
fcis-20720	123	18	the	the	DET
fcis-20720	123	19	efficiency	efficiency	NOUN
fcis-20720	123	20	of	of	ADP
fcis-20720	123	21	financial	financial	ADJ
fcis-20720	123	22	services	service	NOUN
fcis-20720	124	1	[	[	X
fcis-20720	124	2	9	9	NUM
fcis-20720	124	3	]	]	PUNCT
fcis-20720	124	4	.	.	PUNCT
fcis-20720	125	1	in	in	ADP
fcis-20720	125	2	the	the	DET
fcis-20720	125	3	medical	medical	ADJ
fcis-20720	125	4	field	field	NOUN
fcis-20720	125	5	,	,	PUNCT
fcis-20720	125	6	machine	machine	NOUN
fcis-20720	125	7	learning	learning	NOUN
fcis-20720	125	8	can	can	AUX
fcis-20720	125	9	assist	assist	VERB
fcis-20720	125	10	doctors	doctor	NOUN
fcis-20720	125	11	in	in	ADP
fcis-20720	125	12	diagnosis	diagnosis	NOUN
fcis-20720	125	13	and	and	CCONJ
fcis-20720	125	14	treatment	treatment	NOUN
fcis-20720	125	15	decisions	decision	NOUN
fcis-20720	125	16	,	,	PUNCT
fcis-20720	125	17	improving	improve	VERB
fcis-20720	125	18	medical	medical	ADJ
fcis-20720	125	19	standards	standard	NOUN
fcis-20720	125	20	.	.	PUNCT
fcis-20720	126	1	overall	overall	ADV
fcis-20720	126	2	,	,	PUNCT
fcis-20720	126	3	the	the	DET
fcis-20720	126	4	continuous	continuous	ADJ
fcis-20720	126	5	development	development	NOUN
fcis-20720	126	6	of	of	ADP
fcis-20720	126	7	machine	machine	NOUN
fcis-20720	126	8	learning	learning	NOUN
fcis-20720	126	9	will	will	AUX
fcis-20720	126	10	bring	bring	VERB
fcis-20720	126	11	revolutionary	revolutionary	ADJ
fcis-20720	126	12	changes	change	NOUN
fcis-20720	126	13	to	to	ADP
fcis-20720	126	14	society	society	NOUN
fcis-20720	126	15	.	.	PUNCT
fcis-20720	127	1	through	through	ADP
fcis-20720	127	2	continuous	continuous	ADJ
fcis-20720	127	3	innovation	innovation	NOUN
fcis-20720	127	4	and	and	CCONJ
fcis-20720	127	5	optimization	optimization	NOUN
fcis-20720	127	6	,	,	PUNCT
fcis-20720	127	7	artificial	artificial	ADJ
fcis-20720	127	8	intelligence	intelligence	NOUN
fcis-20720	127	9	will	will	AUX
fcis-20720	127	10	become	become	VERB
fcis-20720	127	11	a	a	DET
fcis-20720	127	12	leader	leader	NOUN
fcis-20720	127	13	in	in	ADP
fcis-20720	127	14	future	future	ADJ
fcis-20720	127	15	technological	technological	ADJ
fcis-20720	127	16	development	development	NOUN
fcis-20720	127	17	,	,	PUNCT
fcis-20720	127	18	creating	create	VERB
fcis-20720	127	19	more	more	ADV
fcis-20720	127	20	convenient	convenient	ADJ
fcis-20720	127	21	,	,	PUNCT
fcis-20720	127	22	intelligent	intelligent	ADJ
fcis-20720	127	23	,	,	PUNCT
fcis-20720	127	24	and	and	CCONJ
fcis-20720	127	25	personalized	personalized	ADJ
fcis-20720	127	26	life	life	NOUN
fcis-20720	127	27	and	and	CCONJ
fcis-20720	127	28	work	work	NOUN
fcis-20720	127	29	experiences	experience	NOUN
fcis-20720	127	30	for	for	ADP
fcis-20720	127	31	people	people	NOUN
fcis-20720	127	32	.	.	PUNCT
fcis-20720	128	1	in	in	ADP
fcis-20720	128	2	this	this	DET
fcis-20720	128	3	process	process	NOUN
fcis-20720	128	4	of	of	ADP
fcis-20720	128	5	continuous	continuous	ADJ
fcis-20720	128	6	progress	progress	NOUN
fcis-20720	128	7	,	,	PUNCT
fcis-20720	128	8	people	people	NOUN
fcis-20720	128	9	need	need	VERB
fcis-20720	128	10	to	to	PART
fcis-20720	128	11	maintain	maintain	VERB
fcis-20720	128	12	a	a	DET
fcis-20720	128	13	cautious	cautious	ADJ
fcis-20720	128	14	focus	focus	NOUN
fcis-20720	128	15	on	on	ADP
fcis-20720	128	16	ethics	ethic	NOUN
fcis-20720	128	17	and	and	CCONJ
fcis-20720	128	18	social	social	ADJ
fcis-20720	128	19	impact	impact	NOUN
fcis-20720	128	20	,	,	PUNCT
fcis-20720	128	21	ensure	ensure	VERB
fcis-20720	128	22	that	that	SCONJ
fcis-20720	128	23	the	the	DET
fcis-20720	128	24	application	application	NOUN
fcis-20720	128	25	of	of	ADP
fcis-20720	128	26	machine	machine	NOUN
fcis-20720	128	27	learning	learning	NOUN
fcis-20720	128	28	meets	meet	VERB
fcis-20720	128	29	ethical	ethical	ADJ
fcis-20720	128	30	standards	standard	NOUN
fcis-20720	128	31	,	,	PUNCT
fcis-20720	128	32	and	and	CCONJ
fcis-20720	128	33	bring	bring	VERB
fcis-20720	128	34	positive	positive	ADJ
fcis-20720	128	35	changes	change	NOUN
fcis-20720	128	36	to	to	ADP
fcis-20720	128	37	society	society	NOUN
fcis-20720	128	38	.	.	PUNCT
fcis-20720	129	1	5	5	X
fcis-20720	129	2	.	.	X
fcis-20720	129	3	conclusion	conclusion	NOUN
fcis-20720	129	4	this	this	DET
fcis-20720	129	5	study	study	NOUN
fcis-20720	129	6	provides	provide	VERB
fcis-20720	129	7	a	a	DET
fcis-20720	129	8	detailed	detailed	ADJ
fcis-20720	129	9	exploration	exploration	NOUN
fcis-20720	129	10	of	of	ADP
fcis-20720	129	11	machine	machine	NOUN
fcis-20720	129	12	learning	learn	VERB
fcis-20720	129	13	algorithms	algorithm	NOUN
fcis-20720	129	14	and	and	CCONJ
fcis-20720	129	15	a	a	DET
fcis-20720	129	16	comprehensive	comprehensive	ADJ
fcis-20720	129	17	analysis	analysis	NOUN
fcis-20720	129	18	of	of	ADP
fcis-20720	129	19	their	their	PRON
fcis-20720	129	20	development	development	NOUN
fcis-20720	129	21	trends	trend	NOUN
fcis-20720	129	22	,	,	PUNCT
fcis-20720	129	23	leading	lead	VERB
fcis-20720	129	24	to	to	ADP
fcis-20720	129	25	the	the	DET
fcis-20720	129	26	following	follow	VERB
fcis-20720	129	27	conclusions	conclusion	NOUN
fcis-20720	129	28	.	.	PUNCT
fcis-20720	130	1	machine	machine	NOUN
fcis-20720	130	2	learning	learning	NOUN
fcis-20720	130	3	,	,	PUNCT
fcis-20720	130	4	as	as	ADP
fcis-20720	130	5	a	a	DET
fcis-20720	130	6	key	key	ADJ
fcis-20720	130	7	technology	technology	NOUN
fcis-20720	130	8	in	in	ADP
fcis-20720	130	9	the	the	DET
fcis-20720	130	10	field	field	NOUN
fcis-20720	130	11	of	of	ADP
fcis-20720	130	12	artificial	artificial	ADJ
fcis-20720	130	13	intelligence	intelligence	NOUN
fcis-20720	130	14	,	,	PUNCT
fcis-20720	130	15	has	have	AUX
fcis-20720	130	16	made	make	VERB
fcis-20720	130	17	significant	significant	ADJ
fcis-20720	130	18	achievements	achievement	NOUN
fcis-20720	130	19	in	in	ADP
fcis-20720	130	20	supervised	supervised	ADJ
fcis-20720	130	21	learning	learning	NOUN
fcis-20720	130	22	,	,	PUNCT
fcis-20720	130	23	unsupervised	unsupervised	ADJ
fcis-20720	130	24	learning	learning	NOUN
fcis-20720	130	25	,	,	PUNCT
fcis-20720	130	26	and	and	CCONJ
fcis-20720	130	27	reinforcement	reinforcement	NOUN
fcis-20720	130	28	learning	learning	NOUN
fcis-20720	130	29	.	.	PUNCT
fcis-20720	131	1	supervised	supervised	ADJ
fcis-20720	131	2	learning	learn	VERB
fcis-20720	131	3	algorithms	algorithm	NOUN
fcis-20720	131	4	such	such	ADJ
fcis-20720	131	5	as	as	ADP
fcis-20720	131	6	decision	decision	NOUN
fcis-20720	131	7	trees	tree	NOUN
fcis-20720	131	8	,	,	PUNCT
fcis-20720	131	9	support	support	NOUN
fcis-20720	131	10	vector	vector	NOUN
fcis-20720	131	11	machines	machine	NOUN
fcis-20720	131	12	,	,	PUNCT
fcis-20720	131	13	and	and	CCONJ
fcis-20720	131	14	neural	neural	ADJ
fcis-20720	131	15	networks	network	NOUN
fcis-20720	131	16	perform	perform	VERB
fcis-20720	131	17	excellently	excellently	ADV
fcis-20720	131	18	in	in	ADP
fcis-20720	131	19	tasks	task	NOUN
fcis-20720	131	20	such	such	ADJ
fcis-20720	131	21	as	as	ADP
fcis-20720	131	22	classification	classification	NOUN
fcis-20720	131	23	and	and	CCONJ
fcis-20720	131	24	regression	regression	NOUN
fcis-20720	131	25	,	,	PUNCT
fcis-20720	131	26	providing	provide	VERB
fcis-20720	131	27	powerful	powerful	ADJ
fcis-20720	131	28	solutions	solution	NOUN
fcis-20720	131	29	for	for	ADP
fcis-20720	131	30	many	many	ADJ
fcis-20720	131	31	fields	field	NOUN
fcis-20720	131	32	.	.	PUNCT
fcis-20720	132	1	unsupervised	unsupervised	ADJ
fcis-20720	132	2	learning	learn	VERB
fcis-20720	132	3	algorithms	algorithm	NOUN
fcis-20720	132	4	explore	explore	VERB
fcis-20720	132	5	potential	potential	ADJ
fcis-20720	132	6	patterns	pattern	NOUN
fcis-20720	132	7	in	in	ADP
fcis-20720	132	8	data	datum	NOUN
fcis-20720	132	9	through	through	ADP
fcis-20720	132	10	clustering	clustering	NOUN
fcis-20720	132	11	,	,	PUNCT
fcis-20720	132	12	principal	principal	ADJ
fcis-20720	132	13	component	component	NOUN
fcis-20720	132	14	analysis	analysis	NOUN
fcis-20720	132	15	,	,	PUNCT
fcis-20720	132	16	and	and	CCONJ
fcis-20720	132	17	association	association	NOUN
fcis-20720	132	18	rule	rule	NOUN
fcis-20720	132	19	learning	learning	PROPN
fcis-20720	132	20	,	,	PUNCT
fcis-20720	132	21	providing	provide	VERB
fcis-20720	132	22	effective	effective	ADJ
fcis-20720	132	23	means	mean	NOUN
fcis-20720	132	24	for	for	ADP
fcis-20720	132	25	data	datum	NOUN
fcis-20720	132	26	analysis	analysis	NOUN
fcis-20720	132	27	and	and	CCONJ
fcis-20720	132	28	feature	feature	NOUN
fcis-20720	132	29	extraction	extraction	NOUN
fcis-20720	132	30	.	.	PUNCT
fcis-20720	133	1	reinforcement	reinforcement	NOUN
fcis-20720	133	2	learning	learning	NOUN
fcis-20720	133	3	algorithms	algorithm	NOUN
fcis-20720	133	4	have	have	AUX
fcis-20720	133	5	achieved	achieve	VERB
fcis-20720	133	6	remarkable	remarkable	ADJ
fcis-20720	133	7	results	result	NOUN
fcis-20720	133	8	in	in	ADP
fcis-20720	133	9	fields	field	NOUN
fcis-20720	133	10	such	such	ADJ
fcis-20720	133	11	as	as	ADP
fcis-20720	133	12	automatic	automatic	ADJ
fcis-20720	133	13	control	control	NOUN
fcis-20720	133	14	due	due	ADP
fcis-20720	133	15	to	to	ADP
fcis-20720	133	16	their	their	PRON
fcis-20720	133	17	ability	ability	NOUN
fcis-20720	133	18	to	to	PART
fcis-20720	133	19	learn	learn	VERB
fcis-20720	133	20	optimal	optimal	ADJ
fcis-20720	133	21	strategies	strategy	NOUN
fcis-20720	133	22	in	in	ADP
fcis-20720	133	23	the	the	DET
fcis-20720	133	24	interaction	interaction	NOUN
fcis-20720	133	25	between	between	ADP
fcis-20720	133	26	agents	agent	NOUN
fcis-20720	133	27	and	and	CCONJ
fcis-20720	133	28	the	the	DET
fcis-20720	133	29	environment	environment	NOUN
fcis-20720	133	30	.	.	PUNCT
fcis-20720	134	1	74	74	NUM
fcis-20720	134	2	however	however	ADV
fcis-20720	134	3	,	,	PUNCT
fcis-20720	134	4	machine	machine	NOUN
fcis-20720	134	5	learning	learning	NOUN
fcis-20720	134	6	still	still	ADV
fcis-20720	134	7	faces	face	VERB
fcis-20720	134	8	a	a	DET
fcis-20720	134	9	series	series	NOUN
fcis-20720	134	10	of	of	ADP
fcis-20720	134	11	challenges	challenge	NOUN
fcis-20720	134	12	,	,	PUNCT
fcis-20720	134	13	including	include	VERB
fcis-20720	134	14	model	model	NOUN
fcis-20720	134	15	interpretability	interpretability	NOUN
fcis-20720	134	16	,	,	PUNCT
fcis-20720	134	17	data	datum	NOUN
fcis-20720	134	18	privacy	privacy	NOUN
fcis-20720	134	19	protection	protection	NOUN
fcis-20720	134	20	,	,	PUNCT
fcis-20720	134	21	and	and	CCONJ
fcis-20720	134	22	computational	computational	ADJ
fcis-20720	134	23	resource	resource	NOUN
fcis-20720	134	24	requirements	requirement	NOUN
fcis-20720	134	25	.	.	PUNCT
fcis-20720	135	1	in	in	ADP
fcis-20720	135	2	the	the	DET
fcis-20720	135	3	future	future	NOUN
fcis-20720	135	4	,	,	PUNCT
fcis-20720	135	5	with	with	ADP
fcis-20720	135	6	the	the	DET
fcis-20720	135	7	continuous	continuous	ADJ
fcis-20720	135	8	evolution	evolution	NOUN
fcis-20720	135	9	of	of	ADP
fcis-20720	135	10	technology	technology	NOUN
fcis-20720	135	11	,	,	PUNCT
fcis-20720	135	12	the	the	DET
fcis-20720	135	13	continuous	continuous	ADJ
fcis-20720	135	14	development	development	NOUN
fcis-20720	135	15	of	of	ADP
fcis-20720	135	16	deep	deep	ADJ
fcis-20720	135	17	learning	learning	NOUN
fcis-20720	135	18	,	,	PUNCT
fcis-20720	135	19	the	the	DET
fcis-20720	135	20	rise	rise	NOUN
fcis-20720	135	21	of	of	ADP
fcis-20720	135	22	adaptive	adaptive	ADJ
fcis-20720	135	23	learning	learning	NOUN
fcis-20720	135	24	systems	system	NOUN
fcis-20720	135	25	,	,	PUNCT
fcis-20720	135	26	and	and	CCONJ
fcis-20720	135	27	research	research	NOUN
fcis-20720	135	28	on	on	ADP
fcis-20720	135	29	interpretability	interpretability	NOUN
fcis-20720	135	30	and	and	CCONJ
fcis-20720	135	31	fairness	fairness	NOUN
fcis-20720	135	32	will	will	AUX
fcis-20720	135	33	become	become	VERB
fcis-20720	135	34	key	key	ADJ
fcis-20720	135	35	directions	direction	NOUN
fcis-20720	135	36	.	.	PUNCT
fcis-20720	136	1	in	in	ADP
fcis-20720	136	2	addition	addition	NOUN
fcis-20720	136	3	,	,	PUNCT
fcis-20720	136	4	federated	federated	ADJ
fcis-20720	136	5	learning	learning	NOUN
fcis-20720	136	6	,	,	PUNCT
fcis-20720	136	7	as	as	ADP
fcis-20720	136	8	an	an	DET
fcis-20720	136	9	emerging	emerge	VERB
fcis-20720	136	10	learning	learning	NOUN
fcis-20720	136	11	framework	framework	NOUN
fcis-20720	136	12	,	,	PUNCT
fcis-20720	136	13	is	be	AUX
fcis-20720	136	14	expected	expect	VERB
fcis-20720	136	15	to	to	PART
fcis-20720	136	16	address	address	VERB
fcis-20720	136	17	issues	issue	NOUN
fcis-20720	136	18	of	of	ADP
fcis-20720	136	19	data	datum	NOUN
fcis-20720	136	20	privacy	privacy	NOUN
fcis-20720	136	21	and	and	CCONJ
fcis-20720	136	22	security	security	NOUN
fcis-20720	136	23	,	,	PUNCT
fcis-20720	136	24	promoting	promote	VERB
fcis-20720	136	25	the	the	DET
fcis-20720	136	26	application	application	NOUN
fcis-20720	136	27	of	of	ADP
fcis-20720	136	28	machine	machine	NOUN
fcis-20720	136	29	learning	learn	VERB
fcis-20720	136	30	in	in	ADP
fcis-20720	136	31	a	a	DET
fcis-20720	136	32	wider	wide	ADJ
fcis-20720	136	33	range	range	NOUN
fcis-20720	136	34	of	of	ADP
fcis-20720	136	35	fields	field	NOUN
fcis-20720	136	36	.	.	PUNCT
fcis-20720	137	1	the	the	DET
fcis-20720	137	2	continuous	continuous	ADJ
fcis-20720	137	3	progress	progress	NOUN
fcis-20720	137	4	of	of	ADP
fcis-20720	137	5	machine	machine	NOUN
fcis-20720	137	6	learning	learning	NOUN
fcis-20720	137	7	has	have	AUX
fcis-20720	137	8	opened	open	VERB
fcis-20720	137	9	up	up	ADP
fcis-20720	137	10	new	new	ADJ
fcis-20720	137	11	prospects	prospect	NOUN
fcis-20720	137	12	for	for	ADP
fcis-20720	137	13	the	the	DET
fcis-20720	137	14	development	development	NOUN
fcis-20720	137	15	of	of	ADP
fcis-20720	137	16	artificial	artificial	ADJ
fcis-20720	137	17	intelligence	intelligence	NOUN
fcis-20720	137	18	,	,	PUNCT
fcis-20720	137	19	but	but	CCONJ
fcis-20720	137	20	it	it	PRON
fcis-20720	137	21	also	also	ADV
fcis-20720	137	22	requires	require	VERB
fcis-20720	137	23	continuous	continuous	ADJ
fcis-20720	137	24	research	research	NOUN
fcis-20720	137	25	and	and	CCONJ
fcis-20720	137	26	exploration	exploration	NOUN
fcis-20720	137	27	to	to	PART
fcis-20720	137	28	better	well	ADV
fcis-20720	137	29	adapt	adapt	VERB
fcis-20720	137	30	to	to	ADP
fcis-20720	137	31	the	the	DET
fcis-20720	137	32	needs	need	NOUN
fcis-20720	137	33	of	of	ADP
fcis-20720	137	34	society	society	NOUN
fcis-20720	137	35	.	.	PUNCT
fcis-20720	138	1	through	through	ADP
fcis-20720	138	2	continuous	continuous	ADJ
fcis-20720	138	3	efforts	effort	NOUN
fcis-20720	138	4	,	,	PUNCT
fcis-20720	138	5	machine	machine	NOUN
fcis-20720	138	6	learning	learning	NOUN
fcis-20720	138	7	is	be	AUX
fcis-20720	138	8	expected	expect	VERB
fcis-20720	138	9	to	to	PART
fcis-20720	138	10	play	play	VERB
fcis-20720	138	11	a	a	DET
fcis-20720	138	12	more	more	ADV
fcis-20720	138	13	important	important	ADJ
fcis-20720	138	14	role	role	NOUN
fcis-20720	138	15	in	in	ADP
fcis-20720	138	16	fields	field	NOUN
fcis-20720	138	17	such	such	ADJ
fcis-20720	138	18	as	as	ADP
fcis-20720	138	19	healthcare	healthcare	NOUN
fcis-20720	138	20	,	,	PUNCT
fcis-20720	138	21	finance	finance	NOUN
fcis-20720	138	22	,	,	PUNCT
fcis-20720	138	23	and	and	CCONJ
fcis-20720	138	24	transportation	transportation	NOUN
fcis-20720	138	25	,	,	PUNCT
fcis-20720	138	26	and	and	CCONJ
fcis-20720	138	27	contribute	contribute	VERB
fcis-20720	138	28	more	more	ADJ
fcis-20720	138	29	possibilities	possibility	NOUN
fcis-20720	138	30	to	to	ADP
fcis-20720	138	31	building	build	VERB
fcis-20720	138	32	an	an	DET
fcis-20720	138	33	intelligent	intelligent	ADJ
fcis-20720	138	34	society	society	NOUN
fcis-20720	138	35	.	.	PUNCT
fcis-20720	139	1	references	reference	NOUN
fcis-20720	139	2	[	[	X
fcis-20720	139	3	1	1	NUM
fcis-20720	139	4	]	]	X
fcis-20720	139	5	che	che	X
fcis-20720	139	6	,	,	PUNCT
fcis-20720	139	7	chang	chang	PROPN
fcis-20720	139	8	,	,	PUNCT
fcis-20720	139	9	et	et	PROPN
fcis-20720	139	10	al	al	PROPN
fcis-20720	139	11	.	.	PUNCT
fcis-20720	140	1	"	"	PUNCT
fcis-20720	140	2	deep	deep	ADJ
fcis-20720	140	3	learning	learning	NOUN
fcis-20720	140	4	for	for	ADP
fcis-20720	140	5	precise	precise	ADJ
fcis-20720	140	6	robot	robot	NOUN
fcis-20720	140	7	position	position	NOUN
fcis-20720	140	8	prediction	prediction	NOUN
fcis-20720	140	9	in	in	ADP
fcis-20720	140	10	logistics	logistic	NOUN
fcis-20720	140	11	.	.	PUNCT
fcis-20720	140	12	"	"	PUNCT
fcis-20720	141	1	journal	journal	NOUN
fcis-20720	141	2	of	of	ADP
fcis-20720	141	3	theory	theory	NOUN
fcis-20720	141	4	and	and	CCONJ
fcis-20720	141	5	practice	practice	NOUN
fcis-20720	141	6	of	of	ADP
fcis-20720	141	7	engineering	engineering	NOUN
fcis-20720	141	8	science	science	NOUN
fcis-20720	141	9	3.10	3.10	NUM
fcis-20720	141	10	(	(	PUNCT
fcis-20720	141	11	2023	2023	NUM
fcis-20720	141	12	):	):	PUNCT
fcis-20720	141	13	36	36	NUM
fcis-20720	141	14	-	-	SYM
fcis-20720	141	15	41	41	NUM
fcis-20720	141	16	.	.	PUNCT
fcis-20720	142	1	[	[	X
fcis-20720	142	2	2	2	NUM
fcis-20720	142	3	]	]	X
fcis-20720	142	4	yu	yu	PROPN
fcis-20720	142	5	,	,	PUNCT
fcis-20720	142	6	liqiang	liqiang	PROPN
fcis-20720	142	7	,	,	PUNCT
fcis-20720	142	8	et	et	PROPN
fcis-20720	142	9	al	al	PROPN
fcis-20720	142	10	.	.	PUNCT
fcis-20720	143	1	"	"	PUNCT
fcis-20720	143	2	similarity	similarity	NOUN
fcis-20720	143	3	matching	match	VERB
fcis-20720	143	4	for	for	ADP
fcis-20720	143	5	patent	patent	NOUN
fcis-20720	143	6	documents	document	NOUN
fcis-20720	143	7	using	use	VERB
fcis-20720	143	8	ensemble	ensemble	ADJ
fcis-20720	143	9	bert	bert	NOUN
fcis-20720	143	10	-	-	PUNCT
fcis-20720	143	11	related	relate	VERB
fcis-20720	143	12	model	model	NOUN
fcis-20720	143	13	and	and	CCONJ
fcis-20720	143	14	novel	novel	ADJ
fcis-20720	143	15	text	text	NOUN
fcis-20720	143	16	processing	processing	NOUN
fcis-20720	143	17	method	method	NOUN
fcis-20720	143	18	.	.	PUNCT
fcis-20720	143	19	"	"	PUNCT
fcis-20720	144	1	journal	journal	NOUN
fcis-20720	144	2	of	of	ADP
fcis-20720	144	3	advances	advance	NOUN
fcis-20720	144	4	in	in	ADP
fcis-20720	144	5	information	information	NOUN
fcis-20720	144	6	technology	technology	NOUN
fcis-20720	144	7	15.3	15.3	NUM
fcis-20720	144	8	(	(	PUNCT
fcis-20720	144	9	2024	2024	NUM
fcis-20720	144	10	)	)	PUNCT
fcis-20720	144	11	.	.	PUNCT
fcis-20720	145	1	[	[	X
fcis-20720	145	2	3	3	X
fcis-20720	145	3	]	]	X
fcis-20720	145	4	che	che	X
fcis-20720	145	5	,	,	PUNCT
fcis-20720	145	6	chang	chang	PROPN
fcis-20720	145	7	,	,	PUNCT
fcis-20720	145	8	et	et	PROPN
fcis-20720	145	9	al	al	PROPN
fcis-20720	145	10	.	.	PUNCT
fcis-20720	146	1	"	"	PUNCT
fcis-20720	146	2	advancing	advance	VERB
fcis-20720	146	3	cancer	cancer	NOUN
fcis-20720	146	4	document	document	NOUN
fcis-20720	146	5	classification	classification	NOUN
fcis-20720	146	6	with	with	ADP
fcis-20720	146	7	r	r	NOUN
fcis-20720	146	8	andom	andom	NOUN
fcis-20720	146	9	forest	forest	NOUN
fcis-20720	146	10	.	.	PUNCT
fcis-20720	146	11	"	"	PUNCT
fcis-20720	147	1	academic	academic	ADJ
fcis-20720	147	2	journal	journal	NOUN
fcis-20720	147	3	of	of	ADP
fcis-20720	147	4	science	science	NOUN
fcis-20720	147	5	and	and	CCONJ
fcis-20720	147	6	technology	technology	NOUN
fcis-20720	147	7	8.1	8.1	NUM
fcis-20720	147	8	(	(	PUNCT
fcis-20720	147	9	2023	2023	NUM
fcis-20720	147	10	):	):	PUNCT
fcis-20720	147	11	278	278	NUM
fcis-20720	147	12	-	-	SYM
fcis-20720	147	13	280	280	NUM
fcis-20720	147	14	.	.	PUNCT
fcis-20720	148	1	[	[	X
fcis-20720	148	2	4	4	NUM
fcis-20720	148	3	]	]	X
fcis-20720	148	4	che	che	X
fcis-20720	148	5	,	,	PUNCT
fcis-20720	148	6	chang	chang	PROPN
fcis-20720	148	7	,	,	PUNCT
fcis-20720	148	8	et	et	PROPN
fcis-20720	148	9	al	al	PROPN
fcis-20720	148	10	.	.	PUNCT
fcis-20720	149	1	"	"	PUNCT
fcis-20720	149	2	enhancing	enhance	VERB
fcis-20720	149	3	multimodal	multimodal	ADJ
fcis-20720	149	4	understanding	understanding	NOUN
fcis-20720	149	5	with	with	ADP
fcis-20720	149	6	clip	clip	NOUN
fcis-20720	149	7	-	-	PUNCT
fcis-20720	149	8	based	base	VERB
fcis-20720	149	9	image	image	NOUN
fcis-20720	149	10	-	-	PUNCT
fcis-20720	149	11	to	to	ADP
fcis-20720	149	12	-	-	PUNCT
fcis-20720	149	13	text	text	NOUN
fcis-20720	149	14	transformation	transformation	NOUN
fcis-20720	149	15	.	.	PUNCT
fcis-20720	149	16	"	"	PUNCT
fcis-20720	149	17	proceedings	proceeding	NOUN
fcis-20720	149	18	of	of	ADP
fcis-20720	149	19	the	the	DET
fcis-20720	149	20	2023	2023	NUM
fcis-20720	149	21	6th	6th	ADJ
fcis-20720	149	22	international	international	ADJ
fcis-20720	149	23	conference	conference	NOUN
fcis-20720	149	24	on	on	ADP
fcis-20720	149	25	big	big	ADJ
fcis-20720	149	26	data	datum	NOUN
fcis-20720	149	27	technologies	technology	NOUN
fcis-20720	149	28	.	.	PUNCT
fcis-20720	150	1	2023	2023	NUM
fcis-20720	150	2	.	.	PUNCT
fcis-20720	151	1	[	[	X
fcis-20720	151	2	5	5	NUM
fcis-20720	151	3	]	]	X
fcis-20720	151	4	huang	huang	PROPN
fcis-20720	151	5	,	,	PUNCT
fcis-20720	151	6	jiaxin	jiaxin	PROPN
fcis-20720	151	7	,	,	PUNCT
fcis-20720	151	8	et	et	PROPN
fcis-20720	151	9	al	al	PROPN
fcis-20720	151	10	.	.	PUNCT
fcis-20720	152	1	"	"	PUNCT
fcis-20720	152	2	enhancing	enhance	VERB
fcis-20720	152	3	essay	essay	NOUN
fcis-20720	152	4	scoring	score	VERB
fcis-20720	152	5	with	with	ADP
fcis-20720	152	6	adversarial	adversarial	ADJ
fcis-20720	152	7	weights	weight	NOUN
fcis-20720	152	8	perturbation	perturbation	NOUN
fcis-20720	152	9	and	and	CCONJ
fcis-20720	152	10	metric	metric	ADJ
fcis-20720	152	11	-	-	PUNCT
fcis-20720	152	12	specific	specific	ADJ
fcis-20720	152	13	attention	attention	NOUN
fcis-20720	152	14	pooling	pooling	NOUN
fcis-20720	152	15	.	.	PUNCT
fcis-20720	152	16	"	"	PUNCT
fcis-20720	153	1	2023	2023	NUM
fcis-20720	153	2	international	international	ADJ
fcis-20720	153	3	conference	conference	NOUN
fcis-20720	153	4	on	on	ADP
fcis-20720	153	5	information	information	NOUN
fcis-20720	153	6	network	network	NOUN
fcis-20720	153	7	and	and	CCONJ
fcis-20720	153	8	computer	computer	NOUN
fcis-20720	153	9	communications	communication	NOUN
fcis-20720	153	10	(	(	PUNCT
fcis-20720	153	11	incc	incc	NOUN
fcis-20720	153	12	)	)	PUNCT
fcis-20720	153	13	.	.	PUNCT
fcis-20720	154	1	ieee	ieee	NOUN
fcis-20720	154	2	,	,	PUNCT
fcis-20720	154	3	2023	2023	NUM
fcis-20720	154	4	.	.	PUNCT
fcis-20720	155	1	[	[	X
fcis-20720	155	2	6	6	NUM
fcis-20720	155	3	]	]	X
fcis-20720	155	4	huang	huang	PROPN
fcis-20720	155	5	,	,	PUNCT
fcis-20720	155	6	zengyi	zengyi	PROPN
fcis-20720	155	7	,	,	PUNCT
fcis-20720	155	8	et	et	PROPN
fcis-20720	155	9	al	al	PROPN
fcis-20720	155	10	.	.	PUNCT
fcis-20720	156	1	"	"	PUNCT
fcis-20720	156	2	research	research	NOUN
fcis-20720	156	3	on	on	ADP
fcis-20720	156	4	generative	generative	ADJ
fcis-20720	156	5	artificial	artificial	ADJ
fcis-20720	156	6	intelligence	intelligence	NOUN
fcis-20720	156	7	for	for	ADP
fcis-20720	156	8	virtual	virtual	ADJ
fcis-20720	156	9	financial	financial	ADJ
fcis-20720	156	10	robo	robo	NOUN
fcis-20720	156	11	-	-	PUNCT
fcis-20720	156	12	advisor	advisor	NOUN
fcis-20720	156	13	.	.	PUNCT
fcis-20720	156	14	"	"	PUNCT
fcis-20720	157	1	academic	academic	ADJ
fcis-20720	157	2	journal	journal	NOUN
fcis-20720	157	3	of	of	ADP
fcis-20720	157	4	science	science	NOUN
fcis-20720	157	5	and	and	CCONJ
fcis-20720	157	6	technology	technology	NOUN
fcis-20720	157	7	10.1	10.1	NUM
fcis-20720	157	8	(	(	PUNCT
fcis-20720	157	9	2024	2024	NUM
fcis-20720	157	10	):	):	PUNCT
fcis-20720	157	11	74	74	NUM
fcis-20720	157	12	-	-	SYM
fcis-20720	157	13	80	80	NUM
fcis-20720	157	14	.	.	PUNCT
fcis-20720	158	1	[	[	X
fcis-20720	158	2	7	7	X
fcis-20720	158	3	]	]	X
fcis-20720	158	4	huang	huang	PROPN
fcis-20720	158	5	,	,	PUNCT
fcis-20720	158	6	zengyi	zengyi	PROPN
fcis-20720	158	7	,	,	PUNCT
fcis-20720	158	8	et	et	PROPN
fcis-20720	158	9	al	al	PROPN
fcis-20720	158	10	.	.	PUNCT
fcis-20720	159	1	"	"	PUNCT
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fcis-20720	159	3	of	of	ADP
fcis-20720	159	4	machine	machine	NOUN
fcis-20720	159	5	learning	learning	NOUN
fcis-20720	159	6	-	-	PUNCT
fcis-20720	159	7	based	base	VERB
fcis-20720	159	8	k	k	NOUN
fcis-20720	159	9	-	-	PUNCT
fcis-20720	159	10	means	means	NOUN
fcis-20720	159	11	clustering	cluster	VERB
fcis-20720	159	12	for	for	ADP
fcis-20720	159	13	financial	financial	ADJ
fcis-20720	159	14	fraud	fraud	NOUN
fcis-20720	159	15	detection	detection	NOUN
fcis-20720	159	16	.	.	PUNCT
fcis-20720	159	17	"	"	PUNCT
fcis-20720	160	1	academic	academic	ADJ
fcis-20720	160	2	journal	journal	NOUN
fcis-20720	160	3	of	of	ADP
fcis-20720	160	4	science	science	NOUN
fcis-20720	160	5	and	and	CCONJ
fcis-20720	160	6	technology	technology	NOUN
fcis-20720	160	7	10.1	10.1	NUM
fcis-20720	160	8	(	(	PUNCT
fcis-20720	160	9	2024	2024	NUM
fcis-20720	160	10	):	):	PUNCT
fcis-20720	160	11	33	33	NUM
fcis-20720	160	12	-	-	SYM
fcis-20720	160	13	39	39	NUM
fcis-20720	160	14	.	.	PUNCT
fcis-20720	161	1	[	[	X
fcis-20720	161	2	8	8	NUM
fcis-20720	161	3	]	]	SYM
fcis-20720	161	4	yu	yu	PROPN
fcis-20720	161	5	,	,	PUNCT
fcis-20720	161	6	liqiang	liqiang	PROPN
fcis-20720	161	7	,	,	PUNCT
fcis-20720	161	8	et	et	PROPN
fcis-20720	161	9	al	al	PROPN
fcis-20720	161	10	.	.	PUNCT
fcis-20720	162	1	"	"	PUNCT
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fcis-20720	162	3	analysis	analysis	NOUN
fcis-20720	162	4	of	of	ADP
fcis-20720	162	5	touch	touch	NOUN
fcis-20720	162	6	-	-	PUNCT
fcis-20720	162	7	tone	tone	NOUN
fcis-20720	162	8	frequency	frequency	NOUN
fcis-20720	162	9	recognition	recognition	NOUN
fcis-20720	162	10	in	in	ADP
fcis-20720	162	11	two	two	NUM
fcis-20720	162	12	-	-	PUNCT
fcis-20720	162	13	way	way	NOUN
fcis-20720	162	14	radio	radio	NOUN
fcis-20720	162	15	systems	system	NOUN
fcis-20720	162	16	for	for	ADP
fcis-20720	162	17	dialed	dial	VERB
fcis-20720	162	18	telephone	telephone	NOUN
fcis-20720	162	19	number	number	NOUN
fcis-20720	162	20	identification	identification	NOUN
fcis-20720	162	21	.	.	PUNCT
fcis-20720	162	22	"	"	PUNCT
fcis-20720	163	1	arxiv	arxiv	PROPN
fcis-20720	163	2	preprint	preprint	NOUN
fcis-20720	163	3	arxiv	arxiv	PROPN
fcis-20720	163	4	:	:	PUNCT
fcis-20720	163	5	2403	2403	NUM
fcis-20720	163	6	.	.	PUNCT
fcis-20720	164	1	15418	15418	NUM
fcis-20720	164	2	(	(	PUNCT
fcis-20720	164	3	2024	2024	NUM
fcis-20720	164	4	)	)	PUNCT
fcis-20720	164	5	.	.	PUNCT
fcis-20720	165	1	[	[	X
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fcis-20720	165	3	]	]	X
fcis-20720	165	4	che	che	X
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fcis-20720	165	15	into	into	ADP
fcis-20720	165	16	financial	financial	ADJ
fcis-20720	165	17	market	market	NOUN
fcis-20720	165	18	prediction	prediction	NOUN
fcis-20720	165	19	for	for	ADP
fcis-20720	165	20	improved	improved	ADJ
fcis-20720	165	21	decision	decision	NOUN
fcis-20720	165	22	making	making	NOUN
fcis-20720	165	23	.	.	PUNCT
fcis-20720	165	24	"	"	PUNCT
fcis-20720	166	1	arxiv	arxiv	PROPN
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fcis-20720	166	4	(	(	PUNCT
fcis-20720	166	5	2024	2024	NUM
fcis-20720	166	6	)	)	PUNCT
fcis-20720	166	7	.	.	PUNCT
fcis-20720	167	1	[	[	X
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fcis-20720	167	3	]	]	X
fcis-20720	167	4	che	che	X
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fcis-20720	167	6	chang	chang	PROPN
fcis-20720	167	7	,	,	PUNCT
fcis-20720	167	8	et	et	PROPN
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fcis-20720	168	5	system	system	NOUN
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fcis-20720	168	8	computer	computer	NOUN
fcis-20720	168	9	vision	vision	NOUN
fcis-20720	168	10	technology	technology	NOUN
fcis-20720	168	11	.	.	PUNCT
fcis-20720	168	12	"	"	PUNCT
fcis-20720	169	1	arxiv	arxiv	PROPN
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fcis-20720	169	3	arxiv	arxiv	PROPN
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fcis-20720	169	6	.	.	PUNCT
fcis-20720	170	1	01116	01116	NUM
fcis-20720	170	2	(	(	PUNCT
fcis-20720	170	3	2024	2024	NUM
fcis-20720	170	4	)	)	PUNCT
fcis-20720	170	5	.	.	PUNCT