id	sid	tid	token	lemma	pos
fcis-30996	1	1	frontiers	frontier	NOUN
fcis-30996	1	2	in	in	ADP
fcis-30996	1	3	computing	computing	NOUN
fcis-30996	1	4	and	and	CCONJ
fcis-30996	1	5	intelligent	intelligent	ADJ
fcis-30996	1	6	systems	system	NOUN
fcis-30996	1	7	issn	issn	VERB
fcis-30996	1	8	:	:	PUNCT
fcis-30996	1	9	2832	2832	NUM
fcis-30996	1	10	-	-	SYM
fcis-30996	1	11	6024	6024	NUM
fcis-30996	1	12	|	|	NOUN
fcis-30996	1	13	vol	vol	NOUN
fcis-30996	1	14	.	.	PROPN
fcis-30996	2	1	12	12	NUM
fcis-30996	2	2	,	,	PUNCT
fcis-30996	2	3	no	no	INTJ
fcis-30996	2	4	.	.	NOUN
fcis-30996	2	5	2	2	NUM
fcis-30996	2	6	,	,	PUNCT
fcis-30996	2	7	2025	2025	NUM
fcis-30996	2	8	60	60	NUM
fcis-30996	2	9	olympic	olympic	ADJ
fcis-30996	2	10	medal	medal	NOUN
fcis-30996	2	11	count	count	NOUN
fcis-30996	2	12	prediction	prediction	NOUN
fcis-30996	2	13	model	model	NOUN
fcis-30996	2	14	for	for	ADP
fcis-30996	2	15	various	various	ADJ
fcis-30996	2	16	countries	country	NOUN
fcis-30996	2	17	based	base	VERB
fcis-30996	2	18	on	on	ADP
fcis-30996	2	19	lstm	lstm	NOUN
fcis-30996	2	20	and	and	CCONJ
fcis-30996	2	21	supervised	supervised	ADJ
fcis-30996	2	22	machine	machine	NOUN
fcis-30996	2	23	learning	learning	NOUN
fcis-30996	2	24	saijie	saijie	PROPN
fcis-30996	2	25	wang	wang	PROPN
fcis-30996	2	26	,	,	PUNCT
fcis-30996	2	27	dongyang	dongyang	PROPN
fcis-30996	2	28	he	he	PRON
fcis-30996	2	29	,	,	PUNCT
fcis-30996	2	30	yufei	yufei	PROPN
fcis-30996	2	31	shan	shan	PROPN
fcis-30996	2	32	*	*	PUNCT
fcis-30996	2	33	and	and	CCONJ
fcis-30996	2	34	hongjia	hongjia	PROPN
fcis-30996	2	35	li	li	PROPN
fcis-30996	2	36	school	school	PROPN
fcis-30996	2	37	of	of	ADP
fcis-30996	2	38	intelligence	intelligence	NOUN
fcis-30996	2	39	science	science	NOUN
fcis-30996	2	40	and	and	CCONJ
fcis-30996	2	41	technology	technology	NOUN
fcis-30996	2	42	,	,	PUNCT
fcis-30996	2	43	beijing	beijing	PROPN
fcis-30996	2	44	university	university	PROPN
fcis-30996	2	45	of	of	ADP
fcis-30996	2	46	civil	civil	ADJ
fcis-30996	2	47	engineering	engineering	NOUN
fcis-30996	2	48	and	and	CCONJ
fcis-30996	2	49	architecture	architecture	NOUN
fcis-30996	2	50	,	,	PUNCT
fcis-30996	2	51	beijing	beijing	PROPN
fcis-30996	2	52	102616	102616	NUM
fcis-30996	2	53	,	,	PUNCT
fcis-30996	2	54	china	china	PROPN
fcis-30996	2	55	*	*	PUNCT
fcis-30996	2	56	corresponding	correspond	VERB
fcis-30996	2	57	author	author	NOUN
fcis-30996	2	58	:	:	PUNCT
fcis-30996	3	1	yufei	yufei	PROPN
fcis-30996	3	2	shan	shan	PROPN
fcis-30996	3	3	abstract	abstract	PROPN
fcis-30996	3	4	:	:	PUNCT
fcis-30996	3	5	the	the	DET
fcis-30996	3	6	acquisition	acquisition	NOUN
fcis-30996	3	7	of	of	ADP
fcis-30996	3	8	olympic	olympic	ADJ
fcis-30996	3	9	medals	medal	NOUN
fcis-30996	3	10	holds	hold	VERB
fcis-30996	3	11	significant	significant	ADJ
fcis-30996	3	12	importance	importance	NOUN
fcis-30996	3	13	for	for	ADP
fcis-30996	3	14	the	the	DET
fcis-30996	3	15	development	development	NOUN
fcis-30996	3	16	of	of	ADP
fcis-30996	3	17	a	a	DET
fcis-30996	3	18	country	country	NOUN
fcis-30996	3	19	's	's	PART
fcis-30996	3	20	sports	sport	NOUN
fcis-30996	3	21	endeavors	endeavor	NOUN
fcis-30996	3	22	.	.	PUNCT
fcis-30996	4	1	this	this	DET
fcis-30996	4	2	paper	paper	NOUN
fcis-30996	4	3	constructs	construct	VERB
fcis-30996	4	4	a	a	DET
fcis-30996	4	5	medal	medal	ADJ
fcis-30996	4	6	prediction	prediction	NOUN
fcis-30996	4	7	model	model	NOUN
fcis-30996	4	8	based	base	VERB
fcis-30996	4	9	on	on	ADP
fcis-30996	4	10	topsis	topsis	NOUN
fcis-30996	4	11	-	-	PUNCT
fcis-30996	4	12	lstm	lstm	NOUN
fcis-30996	4	13	model	model	NOUN
fcis-30996	4	14	and	and	CCONJ
fcis-30996	4	15	supervised	supervised	ADJ
fcis-30996	4	16	learning	learning	NOUN
fcis-30996	4	17	,	,	PUNCT
fcis-30996	4	18	utilizing	utilize	VERB
fcis-30996	4	19	historical	historical	ADJ
fcis-30996	4	20	olympic	olympic	ADJ
fcis-30996	4	21	data	datum	NOUN
fcis-30996	4	22	.	.	PUNCT
fcis-30996	5	1	the	the	DET
fcis-30996	5	2	random	random	ADJ
fcis-30996	5	3	forest	forest	NOUN
fcis-30996	5	4	algorithm	algorithm	NOUN
fcis-30996	5	5	is	be	AUX
fcis-30996	5	6	employed	employ	VERB
fcis-30996	5	7	to	to	PART
fcis-30996	5	8	forecast	forecast	VERB
fcis-30996	5	9	the	the	DET
fcis-30996	5	10	medal	medal	ADJ
fcis-30996	5	11	performance	performance	NOUN
fcis-30996	5	12	of	of	ADP
fcis-30996	5	13	countries	country	NOUN
fcis-30996	5	14	at	at	ADP
fcis-30996	5	15	the	the	DET
fcis-30996	5	16	2028	2028	NUM
fcis-30996	5	17	los	los	PROPN
fcis-30996	5	18	angeles	angeles	PROPN
fcis-30996	5	19	olympics	olympics	PROPN
fcis-30996	5	20	.	.	PUNCT
fcis-30996	6	1	the	the	DET
fcis-30996	6	2	results	result	NOUN
fcis-30996	6	3	indicate	indicate	VERB
fcis-30996	6	4	that	that	SCONJ
fcis-30996	6	5	the	the	DET
fcis-30996	6	6	united	united	PROPN
fcis-30996	6	7	states	states	PROPN
fcis-30996	6	8	will	will	AUX
fcis-30996	6	9	achieve	achieve	VERB
fcis-30996	6	10	126	126	NUM
fcis-30996	6	11	medals	medal	NOUN
fcis-30996	6	12	,	,	PUNCT
fcis-30996	6	13	while	while	SCONJ
fcis-30996	6	14	china	china	PROPN
fcis-30996	6	15	will	will	AUX
fcis-30996	6	16	secure	secure	VERB
fcis-30996	6	17	91	91	NUM
fcis-30996	6	18	medals	medal	NOUN
fcis-30996	6	19	,	,	PUNCT
fcis-30996	6	20	ranking	rank	VERB
fcis-30996	6	21	first	first	ADJ
fcis-30996	6	22	and	and	CCONJ
fcis-30996	6	23	second	second	ADJ
fcis-30996	6	24	,	,	PUNCT
fcis-30996	6	25	respectively	respectively	ADV
fcis-30996	6	26	.	.	PUNCT
fcis-30996	7	1	the	the	DET
fcis-30996	7	2	united	united	PROPN
fcis-30996	7	3	kingdom	kingdom	PROPN
fcis-30996	7	4	and	and	CCONJ
fcis-30996	7	5	canada	canada	PROPN
fcis-30996	7	6	follow	follow	VERB
fcis-30996	7	7	closely	closely	ADV
fcis-30996	7	8	with	with	ADP
fcis-30996	7	9	65	65	NUM
fcis-30996	7	10	and	and	CCONJ
fcis-30996	7	11	55	55	NUM
fcis-30996	7	12	medals	medal	NOUN
fcis-30996	7	13	,	,	PUNCT
fcis-30996	7	14	respectively	respectively	ADV
fcis-30996	7	15	.	.	PUNCT
fcis-30996	8	1	the	the	DET
fcis-30996	8	2	model	model	NOUN
fcis-30996	8	3	's	's	PART
fcis-30996	8	4	rmse	rmse	NOUN
fcis-30996	8	5	is	be	AUX
fcis-30996	8	6	less	less	ADJ
fcis-30996	8	7	than	than	ADP
fcis-30996	8	8	5.8	5.8	NUM
fcis-30996	8	9	,	,	PUNCT
fcis-30996	8	10	and	and	CCONJ
fcis-30996	8	11	the	the	DET
fcis-30996	8	12	r2	r2	PROPN
fcis-30996	8	13	value	value	NOUN
fcis-30996	8	14	is	be	AUX
fcis-30996	8	15	greater	great	ADJ
fcis-30996	8	16	than	than	ADP
fcis-30996	8	17	0.93	0.93	NUM
fcis-30996	8	18	,	,	PUNCT
fcis-30996	8	19	indicating	indicate	VERB
fcis-30996	8	20	a	a	DET
fcis-30996	8	21	relatively	relatively	ADV
fcis-30996	8	22	good	good	ADJ
fcis-30996	8	23	fit	fit	NOUN
fcis-30996	8	24	.	.	PUNCT
fcis-30996	9	1	keywords	keyword	NOUN
fcis-30996	9	2	:	:	PUNCT
fcis-30996	9	3	olympics	olympic	NOUN
fcis-30996	9	4	;	;	PUNCT
fcis-30996	9	5	random	random	ADJ
fcis-30996	9	6	forest	forest	NOUN
fcis-30996	9	7	;	;	PUNCT
fcis-30996	9	8	topsis	topsis	NOUN
fcis-30996	9	9	;	;	PUNCT
fcis-30996	9	10	medal	medal	ADJ
fcis-30996	9	11	prediction	prediction	NOUN
fcis-30996	9	12	.	.	PUNCT
fcis-30996	10	1	1	1	X
fcis-30996	10	2	.	.	X
fcis-30996	10	3	introduction	introduction	NOUN
fcis-30996	10	4	the	the	DET
fcis-30996	10	5	olympic	olympic	PROPN
fcis-30996	10	6	games	games	PROPN
fcis-30996	10	7	,	,	PUNCT
fcis-30996	10	8	the	the	DET
fcis-30996	10	9	world	world	NOUN
fcis-30996	10	10	's	's	PART
fcis-30996	10	11	largest	large	ADJ
fcis-30996	10	12	sporting	sporting	NOUN
fcis-30996	10	13	event	event	NOUN
fcis-30996	10	14	held	hold	VERB
fcis-30996	10	15	quadrennially	quadrennially	ADV
fcis-30996	10	16	,	,	PUNCT
fcis-30996	10	17	provides	provide	VERB
fcis-30996	10	18	a	a	DET
fcis-30996	10	19	global	global	ADJ
fcis-30996	10	20	stage	stage	NOUN
fcis-30996	10	21	for	for	SCONJ
fcis-30996	10	22	elite	elite	ADJ
fcis-30996	10	23	athletes	athlete	NOUN
fcis-30996	10	24	from	from	ADP
fcis-30996	10	25	around	around	ADP
fcis-30996	10	26	the	the	DET
fcis-30996	10	27	world	world	NOUN
fcis-30996	10	28	to	to	PART
fcis-30996	10	29	compete	compete	VERB
fcis-30996	10	30	[	[	X
fcis-30996	10	31	1][2	1][2	NUM
fcis-30996	10	32	]	]	PUNCT
fcis-30996	10	33	.	.	PUNCT
fcis-30996	11	1	in	in	ADP
fcis-30996	11	2	recent	recent	ADJ
fcis-30996	11	3	years	year	NOUN
fcis-30996	11	4	,	,	PUNCT
fcis-30996	11	5	an	an	DET
fcis-30996	11	6	increasing	increase	VERB
fcis-30996	11	7	number	number	NOUN
fcis-30996	11	8	of	of	ADP
fcis-30996	11	9	scholars	scholar	NOUN
fcis-30996	11	10	have	have	AUX
fcis-30996	11	11	begun	begin	VERB
fcis-30996	11	12	to	to	PART
fcis-30996	11	13	predict	predict	VERB
fcis-30996	11	14	the	the	DET
fcis-30996	11	15	olympic	olympic	ADJ
fcis-30996	11	16	medal	medal	NOUN
fcis-30996	11	17	standings	standing	NOUN
fcis-30996	11	18	and	and	CCONJ
fcis-30996	11	19	use	use	VERB
fcis-30996	11	20	these	these	DET
fcis-30996	11	21	predictions	prediction	NOUN
fcis-30996	11	22	to	to	PART
fcis-30996	11	23	offer	offer	VERB
fcis-30996	11	24	guidance	guidance	NOUN
fcis-30996	11	25	for	for	ADP
fcis-30996	11	26	sports	sport	NOUN
fcis-30996	11	27	development	development	NOUN
fcis-30996	11	28	.	.	PUNCT
fcis-30996	12	1	this	this	DET
fcis-30996	12	2	paper	paper	NOUN
fcis-30996	12	3	constructs	construct	VERB
fcis-30996	12	4	a	a	DET
fcis-30996	12	5	medal	medal	ADJ
fcis-30996	12	6	prediction	prediction	NOUN
fcis-30996	12	7	model	model	NOUN
fcis-30996	12	8	based	base	VERB
fcis-30996	12	9	on	on	ADP
fcis-30996	12	10	topsis	topsis	PROPN
fcis-30996	12	11	model	model	NOUN
fcis-30996	12	12	,	,	PUNCT
fcis-30996	12	13	lstm	lstm	NOUN
fcis-30996	12	14	model	model	NOUN
fcis-30996	12	15	and	and	CCONJ
fcis-30996	12	16	supervised	supervise	VERB
fcis-30996	12	17	learning	learn	VERB
fcis-30996	12	18	to	to	PART
fcis-30996	12	19	forecast	forecast	VERB
fcis-30996	12	20	the	the	DET
fcis-30996	12	21	medal	medal	ADJ
fcis-30996	12	22	standings	standing	NOUN
fcis-30996	12	23	for	for	ADP
fcis-30996	12	24	the	the	DET
fcis-30996	12	25	2028	2028	NUM
fcis-30996	12	26	summer	summer	NOUN
fcis-30996	12	27	olympics	olympic	NOUN
fcis-30996	12	28	in	in	ADP
fcis-30996	12	29	los	los	PROPN
fcis-30996	12	30	angeles	angeles	PROPN
fcis-30996	12	31	,	,	PUNCT
fcis-30996	12	32	aiming	aim	VERB
fcis-30996	12	33	to	to	PART
fcis-30996	12	34	provide	provide	VERB
fcis-30996	12	35	relevant	relevant	ADJ
fcis-30996	12	36	suggestions	suggestion	NOUN
fcis-30996	12	37	for	for	ADP
fcis-30996	12	38	the	the	DET
fcis-30996	12	39	sports	sport	NOUN
fcis-30996	12	40	development	development	NOUN
fcis-30996	12	41	of	of	ADP
fcis-30996	12	42	various	various	ADJ
fcis-30996	12	43	countries	country	NOUN
fcis-30996	12	44	.	.	PUNCT
fcis-30996	13	1	2	2	X
fcis-30996	13	2	.	.	X
fcis-30996	13	3	preprocess	preprocess	NOUN
fcis-30996	13	4	2.1	2.1	NUM
fcis-30996	13	5	.	.	PUNCT
fcis-30996	14	1	data	datum	NOUN
fcis-30996	14	2	preprocessing	preprocesse	VERB
fcis-30996	14	3	the	the	DET
fcis-30996	14	4	historical	historical	ADJ
fcis-30996	14	5	olympic	olympic	ADJ
fcis-30996	14	6	data	datum	NOUN
fcis-30996	14	7	in	in	ADP
fcis-30996	14	8	this	this	DET
fcis-30996	14	9	paper	paper	NOUN
fcis-30996	14	10	has	have	AUX
fcis-30996	14	11	undergone	undergo	VERB
fcis-30996	14	12	the	the	DET
fcis-30996	14	13	following	follow	VERB
fcis-30996	14	14	data	datum	NOUN
fcis-30996	14	15	cleaning	cleaning	NOUN
fcis-30996	14	16	processes	process	NOUN
fcis-30996	14	17	.	.	PUNCT
fcis-30996	15	1	firstly	firstly	ADV
fcis-30996	15	2	,	,	PUNCT
fcis-30996	15	3	the	the	PRON
fcis-30996	15	4	is	be	AUX
fcis-30996	15	5	missing	miss	VERB
fcis-30996	15	6	function	function	NOUN
fcis-30996	15	7	in	in	ADP
fcis-30996	15	8	the	the	DET
fcis-30996	15	9	matlab	matlab	PROPN
fcis-30996	15	10	function	function	NOUN
fcis-30996	15	11	library	library	NOUN
fcis-30996	15	12	was	be	AUX
fcis-30996	15	13	used	use	VERB
fcis-30996	15	14	to	to	PART
fcis-30996	15	15	identify	identify	VERB
fcis-30996	15	16	missing	missing	ADJ
fcis-30996	15	17	values	value	NOUN
fcis-30996	15	18	,	,	PUNCT
fcis-30996	15	19	which	which	PRON
fcis-30996	15	20	were	be	AUX
fcis-30996	15	21	then	then	ADV
fcis-30996	15	22	imputed	impute	VERB
fcis-30996	15	23	using	use	VERB
fcis-30996	15	24	piecewise	piecewise	NOUN
fcis-30996	15	25	cubic	cubic	ADJ
fcis-30996	15	26	hermite	hermite	ADJ
fcis-30996	15	27	interpolation	interpolation	NOUN
fcis-30996	15	28	.	.	PUNCT
fcis-30996	16	1	subsequently	subsequently	ADV
fcis-30996	16	2	,	,	PUNCT
fcis-30996	16	3	a	a	DET
fcis-30996	16	4	normality	normality	NOUN
fcis-30996	16	5	test	test	NOUN
fcis-30996	16	6	was	be	AUX
fcis-30996	16	7	conducted	conduct	VERB
fcis-30996	16	8	on	on	ADP
fcis-30996	16	9	each	each	DET
fcis-30996	16	10	feature	feature	NOUN
fcis-30996	16	11	value	value	NOUN
fcis-30996	16	12	to	to	PART
fcis-30996	16	13	determine	determine	VERB
fcis-30996	16	14	whether	whether	SCONJ
fcis-30996	16	15	the	the	DET
fcis-30996	16	16	overall	overall	ADJ
fcis-30996	16	17	data	datum	NOUN
fcis-30996	16	18	follows	follow	VERB
fcis-30996	16	19	a	a	DET
fcis-30996	16	20	normal	normal	ADJ
fcis-30996	16	21	distribution	distribution	NOUN
fcis-30996	16	22	.	.	PUNCT
fcis-30996	17	1	the	the	DET
fcis-30996	17	2	results	result	NOUN
fcis-30996	17	3	of	of	ADP
fcis-30996	17	4	the	the	DET
fcis-30996	17	5	normality	normality	NOUN
fcis-30996	17	6	test	test	NOUN
fcis-30996	17	7	are	be	AUX
fcis-30996	17	8	as	as	SCONJ
fcis-30996	17	9	follows	follow	VERB
fcis-30996	17	10	:	:	PUNCT
fcis-30996	17	11	figure	figure	NOUN
fcis-30996	17	12	1	1	NUM
fcis-30996	17	13	.	.	PUNCT
fcis-30996	17	14	data	data	PROPN
fcis-30996	17	15	normality	normality	PROPN
fcis-30996	17	16	test	test	NOUN
fcis-30996	17	17	61	61	NUM
fcis-30996	17	18	outliers	outlier	NOUN
fcis-30996	17	19	detected	detect	VERB
fcis-30996	17	20	during	during	ADP
fcis-30996	17	21	the	the	DET
fcis-30996	17	22	test	test	NOUN
fcis-30996	17	23	were	be	AUX
fcis-30996	17	24	replaced	replace	VERB
fcis-30996	17	25	with	with	ADP
fcis-30996	17	26	0	0	NUM
fcis-30996	17	27	for	for	ADP
fcis-30996	17	28	subsequent	subsequent	ADJ
fcis-30996	17	29	analysis	analysis	NOUN
fcis-30996	17	30	.	.	PUNCT
fcis-30996	18	1	2.2	2.2	NUM
fcis-30996	18	2	.	.	PUNCT
fcis-30996	19	1	variable	variable	ADJ
fcis-30996	19	2	calculation	calculation	NOUN
fcis-30996	19	3	the	the	DET
fcis-30996	19	4	following	follow	VERB
fcis-30996	19	5	dependent	dependent	ADJ
fcis-30996	19	6	variable	variable	NOUN
fcis-30996	19	7	(	(	PUNCT
fcis-30996	19	8	y	y	NOUN
fcis-30996	19	9	)	)	PUNCT
fcis-30996	19	10	and	and	CCONJ
fcis-30996	19	11	feature	feature	NOUN
fcis-30996	19	12	variables	variable	NOUN
fcis-30996	19	13	(	(	PUNCT
fcis-30996	19	14	x	x	X
fcis-30996	19	15	)	)	PUNCT
fcis-30996	19	16	required	require	VERB
fcis-30996	19	17	for	for	ADP
fcis-30996	19	18	the	the	DET
fcis-30996	19	19	supervised	supervised	ADJ
fcis-30996	19	20	learning	learning	NOUN
fcis-30996	19	21	model	model	NOUN
fcis-30996	19	22	are	be	AUX
fcis-30996	19	23	defined	define	VERB
fcis-30996	19	24	and	and	CCONJ
fcis-30996	19	25	calculated	calculate	VERB
fcis-30996	19	26	in	in	ADP
fcis-30996	19	27	this	this	DET
fcis-30996	19	28	paper	paper	NOUN
fcis-30996	19	29	.	.	PUNCT
fcis-30996	20	1	1.host	1.host	NUM
fcis-30996	20	2	country	country	NOUN
fcis-30996	20	3	(	(	PUNCT
fcis-30996	20	4	x1	x1	PROPN
fcis-30996	20	5	):	):	PUNCT
fcis-30996	20	6	if	if	SCONJ
fcis-30996	20	7	a	a	DET
fcis-30996	20	8	country	country	NOUN
fcis-30996	20	9	is	be	AUX
fcis-30996	20	10	the	the	DET
fcis-30996	20	11	host	host	NOUN
fcis-30996	20	12	in	in	ADP
fcis-30996	20	13	a	a	DET
fcis-30996	20	14	given	give	VERB
fcis-30996	20	15	year	year	NOUN
fcis-30996	20	16	,	,	PUNCT
fcis-30996	20	17	it	it	PRON
fcis-30996	20	18	is	be	AUX
fcis-30996	20	19	set	set	VERB
fcis-30996	20	20	to	to	ADP
fcis-30996	20	21	1	1	NUM
fcis-30996	20	22	;	;	PUNCT
fcis-30996	20	23	otherwise	otherwise	ADV
fcis-30996	20	24	,	,	PUNCT
fcis-30996	20	25	it	it	PRON
fcis-30996	20	26	is	be	AUX
fcis-30996	20	27	0	0	NUM
fcis-30996	20	28	.	.	PUNCT
fcis-30996	21	1	2.overall	2.overall	NUM
fcis-30996	21	2	competitive	competitive	ADJ
fcis-30996	21	3	ability	ability	NOUN
fcis-30996	21	4	(	(	PUNCT
fcis-30996	21	5	x2	x2	NOUN
fcis-30996	21	6	)	)	PUNCT
fcis-30996	21	7			ADJ
fcis-30996	21	8	sport	sport	NOUN
fcis-30996	21	9	items	item	NOUN
fcis-30996	21	10	(	(	PUNCT
fcis-30996	21	11	x2	x2	NOUN
fcis-30996	21	12	-	-	PUNCT
fcis-30996	21	13	1	1	NUM
fcis-30996	21	14	)	)	PUNCT
fcis-30996	21	15			ADJ
fcis-30996	21	16	athlete	athlete	NOUN
fcis-30996	21	17	performance	performance	NOUN
fcis-30996	21	18	(	(	PUNCT
fcis-30996	21	19	x2	x2	PROPN
fcis-30996	21	20	-	-	PUNCT
fcis-30996	21	21	2	2	NUM
fcis-30996	21	22	):	):	PUNCT
fcis-30996	21	23	the	the	DET
fcis-30996	21	24	overall	overall	ADJ
fcis-30996	21	25	performance	performance	NOUN
fcis-30996	21	26	of	of	ADP
fcis-30996	21	27	athletes	athlete	NOUN
fcis-30996	21	28	from	from	ADP
fcis-30996	21	29	each	each	DET
fcis-30996	21	30	country	country	NOUN
fcis-30996	21	31	prior	prior	ADV
fcis-30996	21	32	to	to	ADP
fcis-30996	21	33	the	the	DET
fcis-30996	21	34	olympics	olympic	NOUN
fcis-30996	21	35	,	,	PUNCT
fcis-30996	21	36	such	such	ADJ
fcis-30996	21	37	as	as	ADP
fcis-30996	21	38	past	past	ADJ
fcis-30996	21	39	international	international	ADJ
fcis-30996	21	40	competition	competition	NOUN
fcis-30996	21	41	results	result	NOUN
fcis-30996	21	42	and	and	CCONJ
fcis-30996	21	43	win	win	VERB
fcis-30996	21	44	rates	rate	NOUN
fcis-30996	21	45	.	.	PUNCT
fcis-30996	22	1	in	in	ADP
fcis-30996	22	2	this	this	DET
fcis-30996	22	3	paper	paper	NOUN
fcis-30996	22	4	,	,	PUNCT
fcis-30996	22	5	a	a	DET
fcis-30996	22	6	gold	gold	NOUN
fcis-30996	22	7	medal	medal	NOUN
fcis-30996	22	8	is	be	AUX
fcis-30996	22	9	assigned	assign	VERB
fcis-30996	22	10	8	8	NUM
fcis-30996	22	11	points	point	NOUN
fcis-30996	22	12	(	(	PUNCT
fcis-30996	22	13	m	m	NOUN
fcis-30996	22	14	)	)	PUNCT
fcis-30996	22	15	,	,	PUNCT
fcis-30996	22	16	a	a	DET
fcis-30996	22	17	silver	silver	ADJ
fcis-30996	22	18	medal	medal	NOUN
fcis-30996	22	19	5	5	NUM
fcis-30996	22	20	points	point	NOUN
fcis-30996	22	21	(	(	PUNCT
fcis-30996	22	22	n	n	CCONJ
fcis-30996	22	23	)	)	PUNCT
fcis-30996	22	24	,	,	PUNCT
fcis-30996	22	25	and	and	CCONJ
fcis-30996	22	26	a	a	DET
fcis-30996	22	27	bronze	bronze	NOUN
fcis-30996	22	28	medal	medal	NOUN
fcis-30996	22	29	2	2	NUM
fcis-30996	22	30	points	point	NOUN
fcis-30996	22	31	(	(	PUNCT
fcis-30996	22	32	p	p	NOUN
fcis-30996	22	33	)	)	PUNCT
fcis-30996	22	34	,	,	PUNCT
fcis-30996	22	35	with	with	ADP
fcis-30996	22	36	successful	successful	ADJ
fcis-30996	22	37	participation	participation	NOUN
fcis-30996	22	38	earning	earn	VERB
fcis-30996	22	39	0.01	0.01	NUM
fcis-30996	22	40	points	point	NOUN
fcis-30996	22	41	.	.	PUNCT
fcis-30996	23	1	this	this	DET
fcis-30996	23	2	scoring	scoring	NOUN
fcis-30996	23	3	system	system	NOUN
fcis-30996	23	4	quantifies	quantify	VERB
fcis-30996	23	5	the	the	DET
fcis-30996	23	6	competitive	competitive	ADJ
fcis-30996	23	7	ability	ability	NOUN
fcis-30996	23	8	.	.	PUNCT
fcis-30996	24	1	the	the	DET
fcis-30996	24	2	number	number	NOUN
fcis-30996	24	3	of	of	ADP
fcis-30996	24	4	gold	gold	NOUN
fcis-30996	24	5	,	,	PUNCT
fcis-30996	24	6	silver	silver	NOUN
fcis-30996	24	7	,	,	PUNCT
fcis-30996	24	8	and	and	CCONJ
fcis-30996	24	9	bronze	bronze	NOUN
fcis-30996	24	10	medals	medal	NOUN
fcis-30996	24	11	are	be	AUX
fcis-30996	24	12	represented	represent	VERB
fcis-30996	24	13	by	by	ADP
fcis-30996	24	14	w1	w1	NOUN
fcis-30996	24	15	,	,	PUNCT
fcis-30996	24	16	w2	w2	NOUN
fcis-30996	24	17	,	,	PUNCT
fcis-30996	24	18	and	and	CCONJ
fcis-30996	24	19	w3	w3	PROPN
fcis-30996	24	20	,	,	PUNCT
fcis-30996	24	21	respectively	respectively	ADV
fcis-30996	24	22	.	.	PUNCT
fcis-30996	25	1	cj	cj	PROPN
fcis-30996	25	2	denotes	denote	VERB
fcis-30996	25	3	the	the	DET
fcis-30996	25	4	number	number	NOUN
fcis-30996	25	5	of	of	ADP
fcis-30996	25	6	events	event	NOUN
fcis-30996	25	7	for	for	ADP
fcis-30996	25	8	the	the	DET
fcis-30996	25	9	j	j	PROPN
fcis-30996	25	10	-	-	PUNCT
fcis-30996	25	11	th	th	VERB
fcis-30996	25	12	country	country	NOUN
fcis-30996	25	13	.	.	PUNCT
fcis-30996	26	1	the	the	DET
fcis-30996	26	2	influence	influence	NOUN
fcis-30996	26	3	of	of	ADP
fcis-30996	26	4	the	the	DET
fcis-30996	26	5	number	number	NOUN
fcis-30996	26	6	of	of	ADP
fcis-30996	26	7	sports	sport	NOUN
fcis-30996	26	8	items	item	NOUN
fcis-30996	26	9	on	on	ADP
fcis-30996	26	10	performance	performance	NOUN
fcis-30996	26	11	is	be	AUX
fcis-30996	26	12	also	also	ADV
fcis-30996	26	13	considered	consider	VERB
fcis-30996	26	14	,	,	PUNCT
fcis-30996	26	15	especially	especially	ADV
fcis-30996	26	16	for	for	ADP
fcis-30996	26	17	countries	country	NOUN
fcis-30996	26	18	with	with	ADP
fcis-30996	26	19	a	a	DET
fcis-30996	26	20	diverse	diverse	ADJ
fcis-30996	26	21	range	range	NOUN
fcis-30996	26	22	of	of	ADP
fcis-30996	26	23	sports	sport	NOUN
fcis-30996	26	24	.	.	PUNCT
fcis-30996	27	1	by	by	ADP
fcis-30996	27	2	tallying	tally	VERB
fcis-30996	27	3	the	the	DET
fcis-30996	27	4	participation	participation	NOUN
fcis-30996	27	5	frequency	frequency	NOUN
fcis-30996	27	6	in	in	ADP
fcis-30996	27	7	each	each	DET
fcis-30996	27	8	sport	sport	NOUN
fcis-30996	27	9	(	(	PUNCT
fcis-30996	27	10	e.g.	e.g.	ADV
fcis-30996	27	11	,	,	PUNCT
fcis-30996	27	12	badminton	badminton	NOUN
fcis-30996	27	13	,	,	PUNCT
fcis-30996	27	14	basketball	basketball	NOUN
fcis-30996	27	15	)	)	PUNCT
fcis-30996	27	16	and	and	CCONJ
fcis-30996	27	17	combining	combine	VERB
fcis-30996	27	18	it	it	PRON
fcis-30996	27	19	with	with	ADP
fcis-30996	27	20	the	the	DET
fcis-30996	27	21	overall	overall	ADJ
fcis-30996	27	22	medal	medal	ADJ
fcis-30996	27	23	count	count	NOUN
fcis-30996	27	24	for	for	ADP
fcis-30996	27	25	each	each	DET
fcis-30996	27	26	sport	sport	NOUN
fcis-30996	27	27	,	,	PUNCT
fcis-30996	27	28	a	a	DET
fcis-30996	27	29	capability	capability	NOUN
fcis-30996	27	30	score	score	NOUN
fcis-30996	27	31	is	be	AUX
fcis-30996	27	32	established	establish	VERB
fcis-30996	27	33	.	.	PUNCT
fcis-30996	28	1	the	the	DET
fcis-30996	28	2	evaluation	evaluation	NOUN
fcis-30996	28	3	metric	metric	NOUN
fcis-30996	28	4	is	be	AUX
fcis-30996	28	5	defined	define	VERB
fcis-30996	28	6	as	as	SCONJ
fcis-30996	28	7	follows	follow	VERB
fcis-30996	28	8	:	:	PUNCT
fcis-30996	28	9	3.characteristics	3.characteristics	NUM
fcis-30996	28	10	of	of	ADP
fcis-30996	28	11	each	each	DET
fcis-30996	28	12	country	country	NOUN
fcis-30996	28	13	(	(	PUNCT
fcis-30996	28	14	x3	x3	ADJ
fcis-30996	28	15	):	):	PUNCT
fcis-30996	28	16	a	a	DET
fcis-30996	28	17	composite	composite	ADJ
fcis-30996	28	18	feature	feature	NOUN
fcis-30996	28	19	based	base	VERB
fcis-30996	28	20	on	on	ADP
fcis-30996	28	21	a	a	DET
fcis-30996	28	22	country	country	NOUN
fcis-30996	28	23	's	's	PART
fcis-30996	28	24	sports	sport	NOUN
fcis-30996	28	25	infrastructure	infrastructure	NOUN
fcis-30996	28	26	,	,	PUNCT
fcis-30996	28	27	athlete	athlete	NOUN
fcis-30996	28	28	training	training	NOUN
fcis-30996	28	29	investment	investment	NOUN
fcis-30996	28	30	,	,	PUNCT
fcis-30996	28	31	and	and	CCONJ
fcis-30996	28	32	historical	historical	ADJ
fcis-30996	28	33	olympic	olympic	ADJ
fcis-30996	28	34	performance	performance	NOUN
fcis-30996	28	35	.	.	PUNCT
fcis-30996	29	1	several	several	ADJ
fcis-30996	29	2	key	key	ADJ
fcis-30996	29	3	features	feature	NOUN
fcis-30996	29	4	were	be	AUX
fcis-30996	29	5	extracted	extract	VERB
fcis-30996	29	6	to	to	PART
fcis-30996	29	7	assess	assess	VERB
fcis-30996	29	8	each	each	DET
fcis-30996	29	9	country	country	NOUN
fcis-30996	29	10	's	's	PART
fcis-30996	29	11	olympic	olympic	ADJ
fcis-30996	29	12	level	level	NOUN
fcis-30996	29	13	:	:	PUNCT
fcis-30996	29	14	first	first	ADV
fcis-30996	29	15	,	,	PUNCT
fcis-30996	29	16	the	the	DET
fcis-30996	29	17	average	average	ADJ
fcis-30996	29	18	ranking	ranking	NOUN
fcis-30996	29	19	of	of	ADP
fcis-30996	29	20	the	the	DET
fcis-30996	29	21	country	country	NOUN
fcis-30996	29	22	during	during	ADP
fcis-30996	29	23	this	this	DET
fcis-30996	29	24	period	period	NOUN
fcis-30996	29	25	was	be	AUX
fcis-30996	29	26	calculated	calculate	VERB
fcis-30996	29	27	to	to	PART
fcis-30996	29	28	reflect	reflect	VERB
fcis-30996	29	29	its	its	PRON
fcis-30996	29	30	competitiveness	competitiveness	NOUN
fcis-30996	29	31	at	at	ADP
fcis-30996	29	32	the	the	DET
fcis-30996	29	33	olympics	olympics	PROPN
fcis-30996	29	34	;	;	PUNCT
fcis-30996	29	35	second	second	X
fcis-30996	29	36	,	,	PUNCT
fcis-30996	29	37	the	the	DET
fcis-30996	29	38	total	total	ADJ
fcis-30996	29	39	medal	medal	NOUN
fcis-30996	29	40	count	count	NOUN
fcis-30996	29	41	and	and	CCONJ
fcis-30996	29	42	gold	gold	NOUN
fcis-30996	29	43	medal	medal	NOUN
fcis-30996	29	44	count	count	NOUN
fcis-30996	29	45	for	for	ADP
fcis-30996	29	46	each	each	DET
fcis-30996	29	47	country	country	NOUN
fcis-30996	29	48	were	be	AUX
fcis-30996	29	49	summed	sum	VERB
fcis-30996	29	50	to	to	PART
fcis-30996	29	51	indicate	indicate	VERB
fcis-30996	29	52	its	its	PRON
fcis-30996	29	53	overall	overall	ADJ
fcis-30996	29	54	medal	medal	ADJ
fcis-30996	29	55	level	level	NOUN
fcis-30996	29	56	and	and	CCONJ
fcis-30996	29	57	top	top	ADJ
fcis-30996	29	58	-	-	PUNCT
fcis-30996	29	59	tier	tier	NOUN
fcis-30996	29	60	strength	strength	NOUN
fcis-30996	29	61	;	;	PUNCT
fcis-30996	29	62	third	third	ADV
fcis-30996	29	63	,	,	PUNCT
fcis-30996	29	64	the	the	DET
fcis-30996	29	65	sports	sport	NOUN
fcis-30996	29	66	capability	capability	NOUN
fcis-30996	29	67	score	score	NOUN
fcis-30996	29	68	of	of	ADP
fcis-30996	29	69	the	the	DET
fcis-30996	29	70	country	country	NOUN
fcis-30996	29	71	in	in	ADP
fcis-30996	29	72	other	other	ADJ
fcis-30996	29	73	major	major	ADJ
fcis-30996	29	74	sports	sport	NOUN
fcis-30996	29	75	events	event	NOUN
fcis-30996	29	76	was	be	AUX
fcis-30996	29	77	calculated	calculate	VERB
fcis-30996	29	78	to	to	PART
fcis-30996	29	79	evaluate	evaluate	VERB
fcis-30996	29	80	its	its	PRON
fcis-30996	29	81	global	global	ADJ
fcis-30996	29	82	sports	sport	NOUN
fcis-30996	29	83	strength	strength	NOUN
fcis-30996	29	84	.	.	PUNCT
fcis-30996	30	1	the	the	DET
fcis-30996	30	2	topsis	topsis	PROPN
fcis-30996	30	3	comprehensive	comprehensive	ADJ
fcis-30996	30	4	evaluation	evaluation	NOUN
fcis-30996	30	5	model	model	NOUN
fcis-30996	30	6	based	base	VERB
fcis-30996	30	7	on	on	ADP
fcis-30996	30	8	entropy	entropy	NOUN
fcis-30996	30	9	weighting	weighting	NOUN
fcis-30996	30	10	was	be	AUX
fcis-30996	30	11	used	use	VERB
fcis-30996	30	12	for	for	ADP
fcis-30996	30	13	scoring,[3	scoring,[3	NUM
fcis-30996	30	14	]	]	PUNCT
fcis-30996	30	15	and	and	CCONJ
fcis-30996	30	16	the	the	DET
fcis-30996	30	17	final	final	ADJ
fcis-30996	30	18	characteristic	characteristic	ADJ
fcis-30996	30	19	score	score	NOUN
fcis-30996	30	20	ranking	rank	VERB
fcis-30996	30	21	(	(	PUNCT
fcis-30996	30	22	only	only	ADV
fcis-30996	30	23	the	the	DET
fcis-30996	30	24	top	top	ADJ
fcis-30996	30	25	eight	eight	NUM
fcis-30996	30	26	are	be	AUX
fcis-30996	30	27	shown	show	VERB
fcis-30996	30	28	)	)	PUNCT
fcis-30996	30	29	is	be	AUX
fcis-30996	30	30	as	as	SCONJ
fcis-30996	30	31	follows	follow	VERB
fcis-30996	30	32	:	:	PUNCT
fcis-30996	30	33	table	table	NOUN
fcis-30996	30	34	1	1	NUM
fcis-30996	30	35	.	.	PUNCT
fcis-30996	30	36	topsis	topsis	NOUN
fcis-30996	30	37	scoring	scoring	NOUN
fcis-30996	30	38	table	table	NOUN
fcis-30996	30	39	for	for	ADP
fcis-30996	30	40	countries	country	NOUN
fcis-30996	30	41	country	country	NOUN
fcis-30996	30	42	topsis	topsis	PROPN
fcis-30996	30	43	score	score	NOUN
fcis-30996	30	44	usa	usa	PROPN
fcis-30996	30	45	99.97147	99.97147	NUM
fcis-30996	30	46	urs	urs	PROPN
fcis-30996	30	47	35.55191	35.55191	NUM
fcis-30996	30	48	gbr	gbr	NOUN
fcis-30996	30	49	32.22654	32.22654	NUM
fcis-30996	30	50	fra	fra	NOUN
fcis-30996	30	51	26.76287	26.76287	NUM
fcis-30996	30	52	chn	chn	PROPN
fcis-30996	30	53	25.04647	25.04647	NUM
fcis-30996	30	54	ger	ger	NOUN
fcis-30996	30	55	24.9602	24.9602	NUM
fcis-30996	30	56	ita	ita	NOUN
fcis-30996	30	57	23.37359	23.37359	NUM
fcis-30996	30	58	aus	aus	PROPN
fcis-30996	30	59	20.04924	20.04924	NUM
fcis-30996	30	60	4.country	4.country	NUM
fcis-30996	30	61	encoding	encoding	NOUN
fcis-30996	30	62	(	(	PUNCT
fcis-30996	30	63	x4	x4	PROPN
fcis-30996	30	64	):	):	PUNCT
fcis-30996	30	65	based	base	VERB
fcis-30996	30	66	on	on	ADP
fcis-30996	30	67	the	the	DET
fcis-30996	30	68	medal	medal	NOUN
fcis-30996	30	69	ranking	ranking	NOUN
fcis-30996	30	70	in	in	ADP
fcis-30996	30	71	1982	1982	NUM
fcis-30996	30	72	,	,	PUNCT
fcis-30996	30	73	all	all	DET
fcis-30996	30	74	countries	country	NOUN
fcis-30996	30	75	are	be	AUX
fcis-30996	30	76	encoded	encode	VERB
fcis-30996	30	77	.	.	PUNCT
fcis-30996	31	1	countries	country	NOUN
fcis-30996	31	2	not	not	PART
fcis-30996	31	3	on	on	ADP
fcis-30996	31	4	the	the	DET
fcis-30996	31	5	medal	medal	NOUN
fcis-30996	31	6	list	list	NOUN
fcis-30996	31	7	are	be	AUX
fcis-30996	31	8	uniformly	uniformly	ADV
fcis-30996	31	9	ranked	rank	VERB
fcis-30996	31	10	120	120	NUM
fcis-30996	31	11	.	.	PUNCT
fcis-30996	32	1	5	5	NUM
fcis-30996	32	2	.	.	X
fcis-30996	32	3	target	target	NOUN
fcis-30996	32	4	variable	variable	NOUN
fcis-30996	32	5	(	(	PUNCT
fcis-30996	32	6	dependent	dependent	ADJ
fcis-30996	32	7	variable	variable	NOUN
fcis-30996	32	8	)	)	PUNCT
fcis-30996	32	9			ADJ
fcis-30996	32	10	gold	gold	NOUN
fcis-30996	32	11	medal	medal	NOUN
fcis-30996	32	12	count	count	NOUN
fcis-30996	32	13	(	(	PUNCT
fcis-30996	32	14	y1	y1	NOUN
fcis-30996	32	15	):	):	PUNCT
fcis-30996	32	16	the	the	DET
fcis-30996	32	17	predicted	predict	VERB
fcis-30996	32	18	number	number	NOUN
fcis-30996	32	19	of	of	ADP
fcis-30996	32	20	gold	gold	NOUN
fcis-30996	32	21	medals	medal	NOUN
fcis-30996	32	22	for	for	ADP
fcis-30996	32	23	each	each	DET
fcis-30996	32	24	country	country	NOUN
fcis-30996	32	25	at	at	ADP
fcis-30996	32	26	the	the	DET
fcis-30996	32	27	olympics	olympics	PROPN
fcis-30996	32	28	.	.	PUNCT
fcis-30996	33	1			ADJ
fcis-30996	33	2	total	total	ADJ
fcis-30996	33	3	medal	medal	ADJ
fcis-30996	33	4	count	count	NOUN
fcis-30996	33	5	(	(	PUNCT
fcis-30996	33	6	y2	y2	PROPN
fcis-30996	33	7	):	):	PUNCT
fcis-30996	33	8	the	the	DET
fcis-30996	33	9	predicted	predict	VERB
fcis-30996	33	10	total	total	ADJ
fcis-30996	33	11	number	number	NOUN
fcis-30996	33	12	of	of	ADP
fcis-30996	33	13	medals	medal	NOUN
fcis-30996	33	14	(	(	PUNCT
fcis-30996	33	15	including	include	VERB
fcis-30996	33	16	gold	gold	NOUN
fcis-30996	33	17	,	,	PUNCT
fcis-30996	33	18	silver	silver	NOUN
fcis-30996	33	19	,	,	PUNCT
fcis-30996	33	20	and	and	CCONJ
fcis-30996	33	21	bronze	bronze	NOUN
fcis-30996	33	22	)	)	PUNCT
fcis-30996	33	23	for	for	ADP
fcis-30996	33	24	each	each	DET
fcis-30996	33	25	country	country	NOUN
fcis-30996	33	26	at	at	ADP
fcis-30996	33	27	the	the	DET
fcis-30996	33	28	olympics	olympics	PROPN
fcis-30996	33	29	.	.	PUNCT
fcis-30996	34	1	3	3	X
fcis-30996	34	2	.	.	X
fcis-30996	34	3	method	method	PROPN
fcis-30996	34	4	3.1	3.1	NUM
fcis-30996	34	5	.	.	PUNCT
fcis-30996	35	1	supervised	supervised	ADJ
fcis-30996	35	2	learning	learning	NOUN
fcis-30996	35	3	based	base	VERB
fcis-30996	35	4	on	on	ADP
fcis-30996	35	5	random	random	ADJ
fcis-30996	35	6	forest	forest	NOUN
fcis-30996	35	7	figure	figure	NOUN
fcis-30996	35	8	2	2	NUM
fcis-30996	35	9	.	.	PUNCT
fcis-30996	35	10	random	random	ADJ
fcis-30996	35	11	forest	forest	NOUN
fcis-30996	35	12	framework	framework	NOUN
fcis-30996	35	13	62	62	NUM
fcis-30996	35	14	after	after	ADP
fcis-30996	35	15	completing	complete	VERB
fcis-30996	35	16	the	the	DET
fcis-30996	35	17	feature	feature	NOUN
fcis-30996	35	18	extraction	extraction	NOUN
fcis-30996	35	19	of	of	ADP
fcis-30996	35	20	sports	sport	NOUN
fcis-30996	35	21	levels	level	NOUN
fcis-30996	35	22	and	and	CCONJ
fcis-30996	35	23	data	datum	NOUN
fcis-30996	35	24	processing	processing	NOUN
fcis-30996	35	25	,	,	PUNCT
fcis-30996	35	26	the	the	DET
fcis-30996	35	27	next	next	ADJ
fcis-30996	35	28	step	step	NOUN
fcis-30996	35	29	is	be	AUX
fcis-30996	35	30	to	to	PART
fcis-30996	35	31	establish	establish	VERB
fcis-30996	35	32	a	a	DET
fcis-30996	35	33	supervised	supervised	ADJ
fcis-30996	35	34	learning	learning	NOUN
fcis-30996	35	35	relationship	relationship	NOUN
fcis-30996	35	36	between	between	ADP
fcis-30996	35	37	the	the	DET
fcis-30996	35	38	medal	medal	ADJ
fcis-30996	35	39	count	count	NOUN
fcis-30996	35	40	and	and	CCONJ
fcis-30996	35	41	various	various	ADJ
fcis-30996	35	42	feature	feature	NOUN
fcis-30996	35	43	variables	variable	NOUN
fcis-30996	35	44	.	.	PUNCT
fcis-30996	36	1	to	to	PART
fcis-30996	36	2	achieve	achieve	VERB
fcis-30996	36	3	this	this	DET
fcis-30996	36	4	goal	goal	NOUN
fcis-30996	36	5	,	,	PUNCT
fcis-30996	36	6	the	the	DET
fcis-30996	36	7	random	random	ADJ
fcis-30996	36	8	forest	forest	NOUN
fcis-30996	36	9	algorithm	algorithm	NOUN
fcis-30996	36	10	was	be	AUX
fcis-30996	36	11	selected	select	VERB
fcis-30996	36	12	as	as	ADP
fcis-30996	36	13	the	the	DET
fcis-30996	36	14	model	model	NOUN
fcis-30996	36	15	.	.	PUNCT
fcis-30996	37	1	random	random	ADJ
fcis-30996	37	2	forest	forest	NOUN
fcis-30996	37	3	can	can	AUX
fcis-30996	37	4	handle	handle	VERB
fcis-30996	37	5	a	a	DET
fcis-30996	37	6	large	large	ADJ
fcis-30996	37	7	number	number	NOUN
fcis-30996	37	8	of	of	ADP
fcis-30996	37	9	complex	complex	ADJ
fcis-30996	37	10	features	feature	NOUN
fcis-30996	37	11	,	,	PUNCT
fcis-30996	37	12	has	have	VERB
fcis-30996	37	13	good	good	ADJ
fcis-30996	37	14	generalization	generalization	NOUN
fcis-30996	37	15	capabilities	capability	NOUN
fcis-30996	37	16	,	,	PUNCT
fcis-30996	37	17	and	and	CCONJ
fcis-30996	37	18	is	be	AUX
fcis-30996	37	19	insensitive	insensitive	ADJ
fcis-30996	37	20	to	to	ADP
fcis-30996	37	21	data	datum	NOUN
fcis-30996	37	22	noise	noise	NOUN
fcis-30996	37	23	,	,	PUNCT
fcis-30996	37	24	making	make	VERB
fcis-30996	37	25	it	it	PRON
fcis-30996	37	26	very	very	ADV
fcis-30996	37	27	suitable	suitable	ADJ
fcis-30996	37	28	for	for	ADP
fcis-30996	37	29	processing	process	VERB
fcis-30996	37	30	our	our	PRON
fcis-30996	37	31	diverse	diverse	NOUN
fcis-30996	37	32	and	and	CCONJ
fcis-30996	37	33	potentially	potentially	ADV
fcis-30996	37	34	non	non	ADJ
fcis-30996	37	35	-	-	ADJ
fcis-30996	37	36	linear	linear	ADJ
fcis-30996	37	37	data.[4	data.[4	NOUN
fcis-30996	37	38	]	]	PUNCT
fcis-30996	37	39	through	through	ADP
fcis-30996	37	40	the	the	DET
fcis-30996	37	41	random	random	ADJ
fcis-30996	37	42	forest	forest	NOUN
fcis-30996	37	43	model	model	NOUN
fcis-30996	37	44	,	,	PUNCT
fcis-30996	37	45	we	we	PRON
fcis-30996	37	46	can	can	AUX
fcis-30996	37	47	deeply	deeply	ADV
fcis-30996	37	48	explore	explore	VERB
fcis-30996	37	49	the	the	DET
fcis-30996	37	50	potential	potential	ADJ
fcis-30996	37	51	relationships	relationship	NOUN
fcis-30996	37	52	between	between	ADP
fcis-30996	37	53	features	feature	NOUN
fcis-30996	37	54	and	and	CCONJ
fcis-30996	37	55	medal	medal	ADJ
fcis-30996	37	56	counts	count	NOUN
fcis-30996	37	57	,	,	PUNCT
fcis-30996	37	58	thereby	thereby	ADV
fcis-30996	37	59	effectively	effectively	ADV
fcis-30996	37	60	predicting	predict	VERB
fcis-30996	37	61	the	the	DET
fcis-30996	37	62	number	number	NOUN
fcis-30996	37	63	of	of	ADP
fcis-30996	37	64	medals	medal	NOUN
fcis-30996	37	65	for	for	ADP
fcis-30996	37	66	each	each	DET
fcis-30996	37	67	country	country	NOUN
fcis-30996	37	68	.	.	PUNCT
fcis-30996	38	1	the	the	DET
fcis-30996	38	2	gini	gini	PROPN
fcis-30996	38	3	index	index	PROPN
fcis-30996	38	4	gini	gini	PROPN
fcis-30996	38	5	?	?	PROPN
fcis-30996	38	6	represents	represent	VERB
fcis-30996	38	7	the	the	DET
fcis-30996	38	8	probability	probability	NOUN
fcis-30996	38	9	that	that	SCONJ
fcis-30996	38	10	a	a	DET
fcis-30996	38	11	randomly	randomly	ADV
fcis-30996	38	12	selected	select	VERB
fcis-30996	38	13	sample	sample	NOUN
fcis-30996	38	14	from	from	ADP
fcis-30996	38	15	the	the	DET
fcis-30996	38	16	sample	sample	NOUN
fcis-30996	38	17	set	set	NOUN
fcis-30996	38	18	will	will	AUX
fcis-30996	38	19	be	be	AUX
fcis-30996	38	20	misclassified	misclassifie	VERB
fcis-30996	38	21	.	.	PUNCT
fcis-30996	39	1	the	the	DET
fcis-30996	39	2	smaller	small	ADJ
fcis-30996	39	3	the	the	DET
fcis-30996	39	4	gini	gini	PROPN
fcis-30996	39	5	index	index	NOUN
fcis-30996	39	6	value	value	NOUN
fcis-30996	39	7	,	,	PUNCT
fcis-30996	39	8	the	the	PRON
fcis-30996	39	9	lower	low	ADJ
fcis-30996	39	10	the	the	DET
fcis-30996	39	11	probability	probability	NOUN
fcis-30996	39	12	that	that	SCONJ
fcis-30996	39	13	a	a	DET
fcis-30996	39	14	subset	subset	NOUN
fcis-30996	39	15	of	of	ADP
fcis-30996	39	16	samples	sample	NOUN
fcis-30996	39	17	drawn	draw	VERB
fcis-30996	39	18	from	from	ADP
fcis-30996	39	19	the	the	DET
fcis-30996	39	20	original	original	ADJ
fcis-30996	39	21	dataset	dataset	NOUN
fcis-30996	39	22	will	will	AUX
fcis-30996	39	23	be	be	AUX
fcis-30996	39	24	misclassified	misclassifie	VERB
fcis-30996	39	25	;	;	PUNCT
fcis-30996	39	26	conversely	conversely	ADV
fcis-30996	39	27	,	,	PUNCT
fcis-30996	39	28	the	the	PRON
fcis-30996	39	29	higher	high	ADJ
fcis-30996	39	30	the	the	DET
fcis-30996	39	31	probability	probability	NOUN
fcis-30996	39	32	of	of	ADP
fcis-30996	39	33	misclassification	misclassification	NOUN
fcis-30996	39	34	.	.	PUNCT
fcis-30996	40	1	assuming	assume	VERB
fcis-30996	40	2	there	there	PRON
fcis-30996	40	3	are	be	VERB
fcis-30996	40	4	k	k	PROPN
fcis-30996	40	5	categories	category	NOUN
fcis-30996	40	6	in	in	ADP
fcis-30996	40	7	the	the	DET
fcis-30996	40	8	sample	sample	NOUN
fcis-30996	40	9	,	,	PUNCT
fcis-30996	40	10	and	and	CCONJ
fcis-30996	40	11	the	the	DET
fcis-30996	40	12	probability	probability	NOUN
fcis-30996	40	13	that	that	SCONJ
fcis-30996	40	14	a	a	DET
fcis-30996	40	15	sample	sample	NOUN
fcis-30996	40	16	point	point	NOUN
fcis-30996	40	17	belongs	belong	VERB
fcis-30996	40	18	to	to	ADP
fcis-30996	40	19	the	the	DET
fcis-30996	40	20	k	k	NOUN
fcis-30996	40	21	-	-	PUNCT
fcis-30996	40	22	th	th	VERB
fcis-30996	40	23	category	category	NOUN
fcis-30996	40	24	is	be	AUX
fcis-30996	40	25	,	,	PUNCT
fcis-30996	40	26	i.e.	i.e.	X
fcis-30996	40	27	,	,	PUNCT
fcis-30996	40	28	the	the	DET
fcis-30996	40	29	proportion	proportion	NOUN
fcis-30996	40	30	of	of	ADP
fcis-30996	40	31	the	the	DET
fcis-30996	40	32	k	k	NOUN
fcis-30996	40	33	-	-	PUNCT
fcis-30996	40	34	th	th	VERB
fcis-30996	40	35	category	category	NOUN
fcis-30996	40	36	samples	sample	NOUN
fcis-30996	40	37	in	in	ADP
fcis-30996	40	38	the	the	DET
fcis-30996	40	39	current	current	ADJ
fcis-30996	40	40	sample	sample	NOUN
fcis-30996	40	41	set	set	NOUN
fcis-30996	40	42	,	,	PUNCT
fcis-30996	40	43	the	the	DET
fcis-30996	40	44	gini	gini	PROPN
fcis-30996	40	45	index	index	NOUN
fcis-30996	40	46	of	of	ADP
fcis-30996	40	47	its	its	PRON
fcis-30996	40	48	probability	probability	NOUN
fcis-30996	40	49	distribution	distribution	NOUN
fcis-30996	40	50	can	can	AUX
fcis-30996	40	51	be	be	AUX
fcis-30996	40	52	expressed	express	VERB
fcis-30996	40	53	as	as	ADP
fcis-30996	40	54	:	:	PUNCT
fcis-30996	40	55	where	where	SCONJ
fcis-30996	40	56	,	,	PUNCT
fcis-30996	40	57	represents	represent	VERB
fcis-30996	40	58	the	the	DET
fcis-30996	40	59	number	number	NOUN
fcis-30996	40	60	of	of	ADP
fcis-30996	40	61	samples	sample	NOUN
fcis-30996	40	62	of	of	ADP
fcis-30996	40	63	the	the	DET
fcis-30996	40	64	i	i	PROPN
fcis-30996	40	65	-	-	PUNCT
fcis-30996	40	66	th	th	VERB
fcis-30996	40	67	category	category	NOUN
fcis-30996	40	68	in	in	ADP
fcis-30996	40	69	the	the	DET
fcis-30996	40	70	set	set	NOUN
fcis-30996	40	71	.	.	PUNCT
fcis-30996	41	1	for	for	ADP
fcis-30996	41	2	multi	multi	ADJ
fcis-30996	41	3	-	-	ADJ
fcis-30996	41	4	classification	classification	ADJ
fcis-30996	41	5	problems	problem	NOUN
fcis-30996	41	6	,	,	PUNCT
fcis-30996	41	7	if	if	SCONJ
fcis-30996	41	8	a	a	DET
fcis-30996	41	9	sample	sample	NOUN
fcis-30996	41	10	set	set	NOUN
fcis-30996	41	11	is	be	AUX
fcis-30996	41	12	divided	divide	VERB
fcis-30996	41	13	into	into	ADP
fcis-30996	41	14	d1	d1	PROPN
fcis-30996	41	15	and	and	CCONJ
fcis-30996	41	16	d2	d2	PROPN
fcis-30996	41	17	based	base	VERB
fcis-30996	41	18	on	on	ADP
fcis-30996	41	19	whether	whether	SCONJ
fcis-30996	41	20	a	a	DET
fcis-30996	41	21	certain	certain	ADJ
fcis-30996	41	22	feature	feature	NOUN
fcis-30996	41	23	factor	factor	NOUN
fcis-30996	41	24	takes	take	VERB
fcis-30996	41	25	a	a	DET
fcis-30996	41	26	certain	certain	ADJ
fcis-30996	41	27	possible	possible	ADJ
fcis-30996	41	28	value	value	NOUN
fcis-30996	41	29	.	.	PUNCT
fcis-30996	42	1	the	the	DET
fcis-30996	42	2	gini	gini	PROPN
fcis-30996	42	3	index	index	PROPN
fcis-30996	42	4	gini	gini	PROPN
fcis-30996	42	5	(	(	PUNCT
fcis-30996	42	6	d	d	PROPN
fcis-30996	42	7	,	,	PUNCT
fcis-30996	42	8	a	a	PRON
fcis-30996	42	9	)	)	PUNCT
fcis-30996	42	10	represents	represent	VERB
fcis-30996	42	11	the	the	DET
fcis-30996	42	12	probability	probability	NOUN
fcis-30996	42	13	that	that	SCONJ
fcis-30996	42	14	samples	sample	NOUN
fcis-30996	42	15	are	be	AUX
fcis-30996	42	16	misclassified	misclassifie	VERB
fcis-30996	42	17	after	after	ADP
fcis-30996	42	18	the	the	DET
fcis-30996	42	19	set	set	NOUN
fcis-30996	42	20	d	d	NOUN
fcis-30996	42	21	is	be	AUX
fcis-30996	42	22	divided	divide	VERB
fcis-30996	42	23	according	accord	VERB
fcis-30996	42	24	to	to	ADP
fcis-30996	42	25	a	a	DET
fcis-30996	42	26	certain	certain	ADJ
fcis-30996	42	27	feature	feature	NOUN
fcis-30996	42	28	factor	factor	NOUN
fcis-30996	42	29	.	.	PUNCT
fcis-30996	43	1	then	then	ADV
fcis-30996	43	2	,	,	PUNCT
fcis-30996	43	3	the	the	DET
fcis-30996	43	4	gini	gini	PROPN
fcis-30996	43	5	index	index	NOUN
fcis-30996	43	6	of	of	ADP
fcis-30996	43	7	the	the	DET
fcis-30996	43	8	set	set	NOUN
fcis-30996	43	9	d	d	PROPN
fcis-30996	43	10	under	under	ADP
fcis-30996	43	11	the	the	DET
fcis-30996	43	12	condition	condition	NOUN
fcis-30996	43	13	of	of	ADP
fcis-30996	43	14	the	the	DET
fcis-30996	43	15	feature	feature	NOUN
fcis-30996	43	16	factor	factor	NOUN
fcis-30996	43	17	a	a	NOUN
fcis-30996	43	18	is	be	AUX
fcis-30996	43	19	:	:	PUNCT
fcis-30996	43	20	finally	finally	ADV
fcis-30996	43	21	,	,	PUNCT
fcis-30996	43	22	the	the	DET
fcis-30996	43	23	feature	feature	NOUN
fcis-30996	43	24	factor	factor	NOUN
fcis-30996	43	25	that	that	PRON
fcis-30996	43	26	minimizes	minimize	VERB
fcis-30996	43	27	the	the	DET
fcis-30996	43	28	gini	gini	PROPN
fcis-30996	43	29	index	index	NOUN
fcis-30996	43	30	after	after	SCONJ
fcis-30996	43	31	division	division	NOUN
fcis-30996	43	32	is	be	AUX
fcis-30996	43	33	selected	select	VERB
fcis-30996	43	34	as	as	ADP
fcis-30996	43	35	the	the	DET
fcis-30996	43	36	main	main	ADJ
fcis-30996	43	37	function	function	NOUN
fcis-30996	43	38	tree	tree	NOUN
fcis-30996	43	39	.	.	PUNCT
fcis-30996	44	1	3.2	3.2	NUM
fcis-30996	44	2	.	.	PUNCT
fcis-30996	44	3	prediction	prediction	NOUN
fcis-30996	44	4	model	model	NOUN
fcis-30996	44	5	based	base	VERB
fcis-30996	44	6	on	on	ADP
fcis-30996	44	7	cnn	cnn	PROPN
fcis-30996	44	8	-	-	PUNCT
fcis-30996	44	9	lstm	lstm	ADJ
fcis-30996	44	10	we	we	PRON
fcis-30996	44	11	then	then	ADV
fcis-30996	44	12	use	use	VERB
fcis-30996	44	13	the	the	DET
fcis-30996	44	14	long	long	ADJ
fcis-30996	44	15	short	short	ADJ
fcis-30996	44	16	-	-	PUNCT
fcis-30996	44	17	term	term	NOUN
fcis-30996	44	18	memory	memory	NOUN
fcis-30996	44	19	(	(	PUNCT
fcis-30996	44	20	lstm	lstm	NOUN
fcis-30996	44	21	)	)	PUNCT
fcis-30996	44	22	network	network	NOUN
fcis-30996	44	23	to	to	PART
fcis-30996	44	24	predict	predict	VERB
fcis-30996	44	25	the	the	DET
fcis-30996	44	26	overall	overall	ADJ
fcis-30996	44	27	competitive	competitive	ADJ
fcis-30996	44	28	ability	ability	NOUN
fcis-30996	44	29	of	of	ADP
fcis-30996	44	30	countries	country	NOUN
fcis-30996	44	31	at	at	ADP
fcis-30996	44	32	the	the	DET
fcis-30996	44	33	2028	2028	NUM
fcis-30996	44	34	olympics	olympic	NOUN
fcis-30996	44	35	.	.	PUNCT
fcis-30996	45	1	lstm	lstm	NOUN
fcis-30996	45	2	is	be	AUX
fcis-30996	45	3	adept	adept	ADJ
fcis-30996	45	4	at	at	ADP
fcis-30996	45	5	handling	handle	VERB
fcis-30996	45	6	time	time	NOUN
fcis-30996	45	7	-	-	PUNCT
fcis-30996	45	8	series	series	NOUN
fcis-30996	45	9	data	datum	NOUN
fcis-30996	45	10	and	and	CCONJ
fcis-30996	45	11	can	can	AUX
fcis-30996	45	12	capture	capture	VERB
fcis-30996	45	13	patterns	pattern	NOUN
fcis-30996	45	14	and	and	CCONJ
fcis-30996	45	15	trends	trend	NOUN
fcis-30996	45	16	over	over	ADP
fcis-30996	45	17	long	long	ADJ
fcis-30996	45	18	time	time	NOUN
fcis-30996	45	19	spans.[5	spans.[5	PUNCT
fcis-30996	45	20	]	]	PUNCT
fcis-30996	46	1	[	[	X
fcis-30996	46	2	6	6	NUM
fcis-30996	46	3	]	]	PUNCT
fcis-30996	46	4	the	the	DET
fcis-30996	46	5	overall	overall	ADJ
fcis-30996	46	6	competitive	competitive	ADJ
fcis-30996	46	7	ability	ability	NOUN
fcis-30996	46	8	predicted	predict	VERB
fcis-30996	46	9	by	by	ADP
fcis-30996	46	10	the	the	DET
fcis-30996	46	11	lstm	lstm	PROPN
fcis-30996	46	12	model	model	NOUN
fcis-30996	46	13	is	be	AUX
fcis-30996	46	14	used	use	VERB
fcis-30996	46	15	as	as	ADP
fcis-30996	46	16	a	a	DET
fcis-30996	46	17	feature	feature	NOUN
fcis-30996	46	18	and	and	CCONJ
fcis-30996	46	19	input	input	NOUN
fcis-30996	46	20	into	into	ADP
fcis-30996	46	21	the	the	DET
fcis-30996	46	22	machine	machine	NOUN
fcis-30996	46	23	learning	learning	NOUN
fcis-30996	46	24	model	model	NOUN
fcis-30996	46	25	(	(	PUNCT
fcis-30996	46	26	such	such	ADJ
fcis-30996	46	27	as	as	ADP
fcis-30996	46	28	random	random	ADJ
fcis-30996	46	29	forest	forest	NOUN
fcis-30996	46	30	)	)	PUNCT
fcis-30996	46	31	to	to	PART
fcis-30996	46	32	predict	predict	VERB
fcis-30996	46	33	the	the	DET
fcis-30996	46	34	medal	medal	ADJ
fcis-30996	46	35	count	count	NOUN
fcis-30996	46	36	.	.	PUNCT
fcis-30996	47	1	cnn	cnn	PROPN
fcis-30996	47	2	-	-	PUNCT
fcis-30996	47	3	lstm	lstm	PROPN
fcis-30996	47	4	is	be	AUX
fcis-30996	47	5	a	a	DET
fcis-30996	47	6	well	well	ADV
fcis-30996	47	7	-	-	PUNCT
fcis-30996	47	8	known	know	VERB
fcis-30996	47	9	deep	deep	ADJ
fcis-30996	47	10	learning	learning	NOUN
fcis-30996	47	11	architecture	architecture	NOUN
fcis-30996	47	12	,	,	PUNCT
fcis-30996	47	13	typically	typically	ADV
fcis-30996	47	14	comprising	comprise	VERB
fcis-30996	47	15	four	four	NUM
fcis-30996	47	16	types	type	NOUN
fcis-30996	47	17	of	of	ADP
fcis-30996	47	18	layers	layer	NOUN
fcis-30996	47	19	:	:	PUNCT
fcis-30996	47	20	convolutional	convolutional	ADJ
fcis-30996	47	21	layers	layer	NOUN
fcis-30996	47	22	,	,	PUNCT
fcis-30996	47	23	pooling	pool	VERB
fcis-30996	47	24	layers	layer	NOUN
fcis-30996	47	25	,	,	PUNCT
fcis-30996	47	26	fully	fully	ADV
fcis-30996	47	27	connected	connected	ADJ
fcis-30996	47	28	layers	layer	NOUN
fcis-30996	47	29	,	,	PUNCT
fcis-30996	47	30	and	and	CCONJ
fcis-30996	47	31	regression	regression	VERB
fcis-30996	47	32	layers	layer	NOUN
fcis-30996	47	33	.	.	PUNCT
fcis-30996	48	1	the	the	DET
fcis-30996	48	2	basic	basic	ADJ
fcis-30996	48	3	equation	equation	NOUN
fcis-30996	48	4	for	for	ADP
fcis-30996	48	5	convolutional	convolutional	ADJ
fcis-30996	48	6	layer	layer	NOUN
fcis-30996	48	7	operations	operation	NOUN
fcis-30996	48	8	is	be	AUX
fcis-30996	48	9	as	as	SCONJ
fcis-30996	48	10	follows	follow	VERB
fcis-30996	48	11	:	:	PUNCT
fcis-30996	49	1	where	where	SCONJ
fcis-30996	49	2	:	:	PUNCT
fcis-30996	49	3			PRON
fcis-30996	49	4	c	c	NOUN
fcis-30996	49	5	represents	represent	VERB
fcis-30996	49	6	the	the	DET
fcis-30996	49	7	output	output	NOUN
fcis-30996	49	8	feature	feature	NOUN
fcis-30996	49	9	of	of	ADP
fcis-30996	49	10	the	the	DET
fcis-30996	49	11	convolutional	convolutional	ADJ
fcis-30996	49	12	layer	layer	NOUN
fcis-30996	49	13	;	;	PUNCT
fcis-30996	49	14			NOUN
fcis-30996	49	15	σ	σ	NOUN
fcis-30996	49	16	represents	represent	VERB
fcis-30996	49	17	the	the	DET
fcis-30996	49	18	activation	activation	NOUN
fcis-30996	49	19	function	function	NOUN
fcis-30996	49	20	;	;	PUNCT
fcis-30996	50	1			NOUN
fcis-30996	50	2	x	x	PUNCT
fcis-30996	50	3	represents	represent	VERB
fcis-30996	50	4	the	the	DET
fcis-30996	50	5	input	input	NOUN
fcis-30996	50	6	to	to	ADP
fcis-30996	50	7	the	the	DET
fcis-30996	50	8	convolutional	convolutional	ADJ
fcis-30996	50	9	layer	layer	NOUN
fcis-30996	50	10	;	;	PUNCT
fcis-30996	50	11			PRON
fcis-30996	50	12	w	w	NOUN
fcis-30996	50	13	represents	represent	VERB
fcis-30996	50	14	the	the	DET
fcis-30996	50	15	weights	weight	NOUN
fcis-30996	50	16	of	of	ADP
fcis-30996	50	17	the	the	DET
fcis-30996	50	18	convolutional	convolutional	ADJ
fcis-30996	50	19	layer	layer	NOUN
fcis-30996	50	20	;	;	PUNCT
fcis-30996	50	21			PRON
fcis-30996	50	22	b	b	NOUN
fcis-30996	50	23	represents	represent	VERB
fcis-30996	50	24	the	the	DET
fcis-30996	50	25	bias	bias	NOUN
fcis-30996	50	26	.	.	PUNCT
fcis-30996	51	1	due	due	ADP
fcis-30996	51	2	to	to	ADP
fcis-30996	51	3	its	its	PRON
fcis-30996	51	4	powerful	powerful	ADJ
fcis-30996	51	5	feature	feature	NOUN
fcis-30996	51	6	extraction	extraction	NOUN
fcis-30996	51	7	capabilities	capability	NOUN
fcis-30996	51	8	,	,	PUNCT
fcis-30996	51	9	the	the	DET
fcis-30996	51	10	cnn	cnn	PROPN
fcis-30996	51	11	architecture	architecture	NOUN
fcis-30996	51	12	has	have	AUX
fcis-30996	51	13	been	be	AUX
fcis-30996	51	14	widely	widely	ADV
fcis-30996	51	15	applied	apply	VERB
fcis-30996	51	16	in	in	ADP
fcis-30996	51	17	image	image	NOUN
fcis-30996	51	18	classification	classification	NOUN
fcis-30996	51	19	,	,	PUNCT
fcis-30996	51	20	video	video	NOUN
fcis-30996	51	21	classification	classification	NOUN
fcis-30996	51	22	,	,	PUNCT
fcis-30996	51	23	and	and	CCONJ
fcis-30996	51	24	time	time	NOUN
fcis-30996	51	25	-	-	PUNCT
fcis-30996	51	26	series	series	NOUN
fcis-30996	51	27	data	datum	NOUN
fcis-30996	51	28	prediction	prediction	NOUN
fcis-30996	51	29	.	.	PUNCT
fcis-30996	52	1	however	however	ADV
fcis-30996	52	2	,	,	PUNCT
fcis-30996	52	3	as	as	SCONJ
fcis-30996	52	4	the	the	DET
fcis-30996	52	5	network	network	NOUN
fcis-30996	52	6	depth	depth	NOUN
fcis-30996	52	7	increases	increase	NOUN
fcis-30996	52	8	to	to	ADP
fcis-30996	52	9	a	a	DET
fcis-30996	52	10	certain	certain	ADJ
fcis-30996	52	11	extent	extent	NOUN
fcis-30996	52	12	,	,	PUNCT
fcis-30996	52	13	the	the	DET
fcis-30996	52	14	cnn	cnn	PROPN
fcis-30996	52	15	model	model	NOUN
fcis-30996	52	16	may	may	AUX
fcis-30996	52	17	experience	experience	VERB
fcis-30996	52	18	performance	performance	NOUN
fcis-30996	52	19	saturation	saturation	NOUN
fcis-30996	52	20	and	and	CCONJ
fcis-30996	52	21	degradation	degradation	NOUN
fcis-30996	52	22	.	.	PUNCT
fcis-30996	53	1	to	to	PART
fcis-30996	53	2	address	address	VERB
fcis-30996	53	3	this	this	DET
fcis-30996	53	4	degradation	degradation	NOUN
fcis-30996	53	5	issue	issue	NOUN
fcis-30996	53	6	,	,	PUNCT
fcis-30996	53	7	scholars	scholar	NOUN
fcis-30996	53	8	have	have	AUX
fcis-30996	53	9	proposed	propose	VERB
fcis-30996	53	10	variants	variant	NOUN
fcis-30996	53	11	of	of	ADP
fcis-30996	53	12	the	the	DET
fcis-30996	53	13	cnn	cnn	PROPN
fcis-30996	53	14	architecture	architecture	NOUN
fcis-30996	53	15	,	,	PUNCT
fcis-30996	53	16	such	such	ADJ
fcis-30996	53	17	as	as	ADP
fcis-30996	53	18	the	the	DET
fcis-30996	53	19	rcnn	rcnn	PROPN
fcis-30996	53	20	architecture	architecture	NOUN
fcis-30996	53	21	.	.	PUNCT
fcis-30996	54	1	this	this	DET
fcis-30996	54	2	study	study	NOUN
fcis-30996	54	3	proposes	propose	VERB
fcis-30996	54	4	a	a	DET
fcis-30996	54	5	deep	deep	ADJ
fcis-30996	54	6	learning	learning	NOUN
fcis-30996	54	7	network	network	NOUN
fcis-30996	54	8	architecture	architecture	NOUN
fcis-30996	54	9	that	that	PRON
fcis-30996	54	10	integrates	integrate	VERB
fcis-30996	54	11	a	a	DET
fcis-30996	54	12	multi	multi	ADJ
fcis-30996	54	13	-	-	ADJ
fcis-30996	54	14	layer	layer	ADJ
fcis-30996	54	15	lstm	lstm	NOUN
fcis-30996	54	16	structure	structure	NOUN
fcis-30996	54	17	into	into	ADP
fcis-30996	54	18	the	the	DET
fcis-30996	54	19	r	r	NOUN
fcis-30996	54	20	-	-	PUNCT
fcis-30996	54	21	cnn	cnn	NOUN
fcis-30996	54	22	architecture	architecture	NOUN
fcis-30996	54	23	.	.	PUNCT
fcis-30996	55	1	the	the	DET
fcis-30996	55	2	operations	operation	NOUN
fcis-30996	55	3	of	of	ADP
fcis-30996	55	4	each	each	DET
fcis-30996	55	5	gate	gate	NOUN
fcis-30996	55	6	in	in	ADP
fcis-30996	55	7	the	the	DET
fcis-30996	55	8	lstm	lstm	NOUN
fcis-30996	55	9	are	be	AUX
fcis-30996	55	10	as	as	SCONJ
fcis-30996	55	11	follows	follow	VERB
fcis-30996	55	12	:	:	PUNCT
fcis-30996	55	13	where	where	SCONJ
fcis-30996	55	14	,	,	PUNCT
fcis-30996	55	15	,	,	PUNCT
fcis-30996	55	16	represent	represent	VERB
fcis-30996	55	17	the	the	DET
fcis-30996	55	18	input	input	NOUN
fcis-30996	55	19	gate	gate	NOUN
fcis-30996	55	20	,	,	PUNCT
fcis-30996	55	21	forget	forget	VERB
fcis-30996	55	22	gate	gate	NOUN
fcis-30996	55	23	,	,	PUNCT
fcis-30996	55	24	and	and	CCONJ
fcis-30996	55	25	output	output	NOUN
fcis-30996	55	26	gate	gate	PROPN
fcis-30996	55	27	states	state	NOUN
fcis-30996	55	28	of	of	ADP
fcis-30996	55	29	the	the	DET
fcis-30996	55	30	t	t	PROPN
fcis-30996	55	31	-	-	PUNCT
fcis-30996	55	32	th	th	VERB
fcis-30996	55	33	feature	feature	NOUN
fcis-30996	55	34	,	,	PUNCT
fcis-30996	55	35	respectively	respectively	ADV
fcis-30996	55	36	;	;	PUNCT
fcis-30996	55	37	w	w	NOUN
fcis-30996	55	38	represent	represent	VERB
fcis-30996	55	39	the	the	DET
fcis-30996	55	40	weights	weight	NOUN
fcis-30996	55	41	;	;	PUNCT
fcis-30996	55	42	b	b	X
fcis-30996	55	43	represent	represent	VERB
fcis-30996	55	44	the	the	DET
fcis-30996	55	45	biases	bias	NOUN
fcis-30996	55	46	;	;	PUNCT
fcis-30996	55	47	σ	σ	NOUN
fcis-30996	55	48	represents	represent	VERB
fcis-30996	55	49	the	the	DET
fcis-30996	55	50	activation	activation	NOUN
fcis-30996	55	51	function	function	NOUN
fcis-30996	55	52	;	;	PUNCT
fcis-30996	55	53	h	h	NOUN
fcis-30996	55	54	represents	represent	VERB
fcis-30996	55	55	the	the	DET
fcis-30996	55	56	hidden	hide	VERB
fcis-30996	55	57	layer	layer	NOUN
fcis-30996	55	58	feature	feature	NOUN
fcis-30996	55	59	value	value	NOUN
fcis-30996	55	60	;	;	PUNCT
fcis-30996	55	61	and	and	CCONJ
fcis-30996	55	62	x	x	PRON
fcis-30996	55	63	represents	represent	VERB
fcis-30996	55	64	the	the	DET
fcis-30996	55	65	input	input	NOUN
fcis-30996	55	66	feature	feature	NOUN
fcis-30996	55	67	value	value	NOUN
fcis-30996	55	68	.	.	PUNCT
fcis-30996	56	1	4	4	X
fcis-30996	56	2	.	.	X
fcis-30996	56	3	results	result	NOUN
fcis-30996	56	4	given	give	VERB
fcis-30996	56	5	that	that	SCONJ
fcis-30996	56	6	our	our	PRON
fcis-30996	56	7	built	build	VERB
fcis-30996	56	8	-	-	PUNCT
fcis-30996	56	9	in	in	ADP
fcis-30996	56	10	model	model	NOUN
fcis-30996	56	11	is	be	AUX
fcis-30996	56	12	a	a	DET
fcis-30996	56	13	regression	regression	NOUN
fcis-30996	56	14	supervised	supervise	VERB
fcis-30996	56	15	learning	learning	NOUN
fcis-30996	56	16	model	model	NOUN
fcis-30996	56	17	,	,	PUNCT
fcis-30996	56	18	we	we	PRON
fcis-30996	56	19	use	use	VERB
fcis-30996	56	20	the	the	DET
fcis-30996	56	21	root	root	NOUN
fcis-30996	56	22	mean	mean	NOUN
fcis-30996	56	23	square	square	ADJ
fcis-30996	56	24	error	error	NOUN
fcis-30996	56	25	(	(	PUNCT
fcis-30996	56	26	rmse	rmse	NOUN
fcis-30996	56	27	)	)	PUNCT
fcis-30996	56	28	,	,	PUNCT
fcis-30996	56	29	mean	mean	VERB
fcis-30996	56	30	square	square	ADJ
fcis-30996	56	31	error	error	NOUN
fcis-30996	56	32	(	(	PUNCT
fcis-30996	56	33	mse	mse	NOUN
fcis-30996	56	34	)	)	PUNCT
fcis-30996	56	35	,	,	PUNCT
fcis-30996	56	36	and	and	CCONJ
fcis-30996	56	37	r	r	X
fcis-30996	56	38	-	-	PUNCT
fcis-30996	56	39	squared	square	VERB
fcis-30996	56	40	(	(	PUNCT
fcis-30996	56	41	r2	r2	PROPN
fcis-30996	56	42	)	)	PUNCT
fcis-30996	56	43	goodness	goodness	NOUN
fcis-30996	56	44	-	-	PUNCT
fcis-30996	56	45	offit	offit	NOUN
fcis-30996	56	46	to	to	PART
fcis-30996	56	47	evaluate	evaluate	VERB
fcis-30996	56	48	the	the	DET
fcis-30996	56	49	model	model	NOUN
fcis-30996	56	50	's	's	PART
fcis-30996	56	51	prediction	prediction	NOUN
fcis-30996	56	52	results	result	NOUN
fcis-30996	56	53	.	.	PUNCT
fcis-30996	57	1	the	the	DET
fcis-30996	57	2	processed	process	VERB
fcis-30996	57	3	data	datum	NOUN
fcis-30996	57	4	was	be	AUX
fcis-30996	57	5	fed	feed	VERB
fcis-30996	57	6	into	into	ADP
fcis-30996	57	7	the	the	DET
fcis-30996	57	8	matlab	matlab	PROPN
fcis-30996	57	9	machine	machine	NOUN
fcis-30996	57	10	learning	learn	VERB
fcis-30996	57	11	toolbox	toolbox	NOUN
fcis-30996	57	12	for	for	ADP
fcis-30996	57	13	supervised	supervised	ADJ
fcis-30996	57	14	learning	learning	NOUN
fcis-30996	57	15	training	training	NOUN
fcis-30996	57	16	,	,	PUNCT
fcis-30996	57	17	with	with	SCONJ
fcis-30996	57	18	the	the	DET
fcis-30996	57	19	parameters	parameter	NOUN
fcis-30996	57	20	set	set	VERB
fcis-30996	57	21	as	as	SCONJ
fcis-30996	57	22	follows	follow	VERB
fcis-30996	57	23	:	:	PUNCT
fcis-30996	57	24	table	table	NOUN
fcis-30996	57	25	2	2	NUM
fcis-30996	57	26	.	.	PUNCT
fcis-30996	57	27	model	model	NOUN
fcis-30996	57	28	parameter	parameter	PROPN
fcis-30996	57	29	table	table	NOUN
fcis-30996	57	30	ensemble	ensemble	ADJ
fcis-30996	57	31	method	method	NOUN
fcis-30996	57	32	learner	learner	NOUN
fcis-30996	57	33	type	type	NOUN
fcis-30996	57	34	maximum	maximum	ADJ
fcis-30996	57	35	number	number	NOUN
fcis-30996	57	36	of	of	ADP
fcis-30996	57	37	splits	split	VERB
fcis-30996	57	38	number	number	NOUN
fcis-30996	57	39	of	of	ADP
fcis-30996	57	40	learners	learner	NOUN
fcis-30996	57	41	learning	learn	VERB
fcis-30996	57	42	rate	rate	NOUN
fcis-30996	57	43	number	number	NOUN
fcis-30996	57	44	of	of	ADP
fcis-30996	57	45	predictor	predictor	NOUN
fcis-30996	57	46	variables	variable	VERB
fcis-30996	57	47	bag	bag	NOUN
fcis-30996	57	48	decision	decision	NOUN
fcis-30996	57	49	tree	tree	NOUN
fcis-30996	57	50	6	6	NUM
fcis-30996	57	51	45	45	NUM
fcis-30996	57	52	0.1	0.1	NUM
fcis-30996	57	53	all	all	PRON
fcis-30996	57	54	selected	select	VERB
fcis-30996	57	55	after	after	ADP
fcis-30996	57	56	bayesian	bayesian	NOUN
fcis-30996	57	57	optimization	optimization	NOUN
fcis-30996	57	58	tuning	tuning	NOUN
fcis-30996	57	59	,	,	PUNCT
fcis-30996	57	60	the	the	DET
fcis-30996	57	61	rmse	rmse	ADJ
fcis-30996	57	62	iteration	iteration	NOUN
fcis-30996	57	63	function	function	NOUN
fcis-30996	57	64	graph	graph	NOUN
fcis-30996	57	65	is	be	AUX
fcis-30996	57	66	as	as	SCONJ
fcis-30996	57	67	follows	follow	VERB
fcis-30996	57	68	,	,	PUNCT
fcis-30996	57	69	with	with	ADP
fcis-30996	57	70	an	an	DET
fcis-30996	57	71	overall	overall	ADJ
fcis-30996	57	72	trend	trend	NOUN
fcis-30996	57	73	of	of	ADP
fcis-30996	57	74	a	a	DET
fcis-30996	57	75	sharp	sharp	ADJ
fcis-30996	57	76	drop	drop	NOUN
fcis-30996	57	77	followed	follow	VERB
fcis-30996	57	78	by	by	ADP
fcis-30996	57	79	a	a	DET
fcis-30996	57	80	steady	steady	ADJ
fcis-30996	57	81	decline	decline	NOUN
fcis-30996	57	82	,	,	PUNCT
fcis-30996	57	83	gradually	gradually	ADV
fcis-30996	57	84	converging	converge	VERB
fcis-30996	57	85	to	to	ADP
fcis-30996	57	86	6.94	6.94	NUM
fcis-30996	57	87	.	.	PUNCT
fcis-30996	58	1	63	63	NUM
fcis-30996	58	2	figure	figure	NOUN
fcis-30996	58	3	7	7	NUM
fcis-30996	58	4	:	:	PUNCT
fcis-30996	58	5	optimal	optimal	ADJ
fcis-30996	58	6	parameter	parameter	NOUN
fcis-30996	58	7	iteration	iteration	NOUN
fcis-30996	58	8	graph	graph	NOUN
fcis-30996	58	9	at	at	ADP
fcis-30996	58	10	this	this	DET
fcis-30996	58	11	point	point	NOUN
fcis-30996	58	12	,	,	PUNCT
fcis-30996	58	13	we	we	PRON
fcis-30996	58	14	obtained	obtain	VERB
fcis-30996	58	15	the	the	DET
fcis-30996	58	16	specific	specific	ADJ
fcis-30996	58	17	evaluation	evaluation	NOUN
fcis-30996	58	18	indices	index	NOUN
fcis-30996	58	19	of	of	ADP
fcis-30996	58	20	the	the	DET
fcis-30996	58	21	model	model	NOUN
fcis-30996	58	22	as	as	ADV
fcis-30996	58	23	well	well	ADV
fcis-30996	58	24	as	as	ADP
fcis-30996	58	25	the	the	DET
fcis-30996	58	26	specific	specific	ADJ
fcis-30996	58	27	error	error	NOUN
fcis-30996	58	28	graphs	graph	NOUN
fcis-30996	58	29	,	,	PUNCT
fcis-30996	58	30	etc	etc	X
fcis-30996	58	31	.	.	X
fcis-30996	58	32	,	,	PUNCT
fcis-30996	58	33	as	as	SCONJ
fcis-30996	58	34	follows	follow	VERB
fcis-30996	58	35	:	:	PUNCT
fcis-30996	58	36	based	base	VERB
fcis-30996	58	37	on	on	ADP
fcis-30996	58	38	the	the	DET
fcis-30996	58	39	preprocessed	preprocesse	VERB
fcis-30996	58	40	data	datum	NOUN
fcis-30996	58	41	,	,	PUNCT
fcis-30996	58	42	we	we	PRON
fcis-30996	58	43	conducted	conduct	VERB
fcis-30996	58	44	an	an	DET
fcis-30996	58	45	lstm	lstm	ADJ
fcis-30996	58	46	prediction	prediction	NOUN
fcis-30996	58	47	for	for	ADP
fcis-30996	58	48	the	the	DET
fcis-30996	58	49	goalall	goalall	NOUN
fcis-30996	58	50	data	datum	NOUN
fcis-30996	58	51	(	(	PUNCT
fcis-30996	58	52	the	the	DET
fcis-30996	58	53	olympic	olympic	ADJ
fcis-30996	58	54	capability	capability	NOUN
fcis-30996	58	55	evaluation	evaluation	NOUN
fcis-30996	58	56	values	value	NOUN
fcis-30996	58	57	for	for	ADP
fcis-30996	58	58	different	different	ADJ
fcis-30996	58	59	countries	country	NOUN
fcis-30996	58	60	in	in	ADP
fcis-30996	58	61	different	different	ADJ
fcis-30996	58	62	years	year	NOUN
fcis-30996	58	63	)	)	PUNCT
fcis-30996	58	64	in	in	ADP
fcis-30996	58	65	2028	2028	NUM
fcis-30996	58	66	.	.	PUNCT
fcis-30996	59	1	using	use	VERB
fcis-30996	59	2	the	the	DET
fcis-30996	59	3	goalall	goalall	NOUN
fcis-30996	59	4	data	datum	NOUN
fcis-30996	59	5	of	of	ADP
fcis-30996	59	6	the	the	DET
fcis-30996	59	7	united	united	PROPN
fcis-30996	59	8	states	states	PROPN
fcis-30996	59	9	from	from	ADP
fcis-30996	59	10	1982	1982	NUM
fcis-30996	59	11	to	to	ADP
fcis-30996	59	12	2024	2024	NUM
fcis-30996	59	13	,	,	PUNCT
fcis-30996	59	14	we	we	PRON
fcis-30996	59	15	fitted	fit	VERB
fcis-30996	59	16	and	and	CCONJ
fcis-30996	59	17	predicted	predict	VERB
fcis-30996	59	18	the	the	DET
fcis-30996	59	19	data	datum	NOUN
fcis-30996	59	20	.	.	PUNCT
fcis-30996	60	1	the	the	DET
fcis-30996	60	2	data	datum	NOUN
fcis-30996	60	3	was	be	AUX
fcis-30996	60	4	fed	feed	VERB
fcis-30996	60	5	into	into	ADP
fcis-30996	60	6	the	the	DET
fcis-30996	60	7	established	establish	VERB
fcis-30996	60	8	lstm	lstm	NOUN
fcis-30996	60	9	model	model	NOUN
fcis-30996	60	10	for	for	ADP
fcis-30996	60	11	iterative	iterative	NOUN
fcis-30996	60	12	training	training	NOUN
fcis-30996	60	13	,	,	PUNCT
fcis-30996	60	14	with	with	SCONJ
fcis-30996	60	15	the	the	DET
fcis-30996	60	16	iteration	iteration	NOUN
fcis-30996	60	17	steps	step	NOUN
fcis-30996	60	18	set	set	VERB
fcis-30996	60	19	to	to	PART
fcis-30996	60	20	be	be	AUX
fcis-30996	60	21	greater	great	ADJ
fcis-30996	60	22	than	than	ADP
fcis-30996	60	23	100	100	NUM
fcis-30996	60	24	.	.	PUNCT
fcis-30996	61	1	table	table	NOUN
fcis-30996	61	2	3	3	NUM
fcis-30996	61	3	.	.	PUNCT
fcis-30996	61	4	specific	specific	ADJ
fcis-30996	61	5	model	model	NOUN
fcis-30996	61	6	evaluation	evaluation	NOUN
fcis-30996	61	7	index	index	NOUN
fcis-30996	61	8	table	table	NOUN
fcis-30996	61	9	parameter	parameter	NOUN
fcis-30996	61	10	value	value	NOUN
fcis-30996	61	11	rmse	rmse	NOUN
fcis-30996	61	12	6.94	6.94	NUM
fcis-30996	61	13	mse	mse	NOUN
fcis-30996	61	14	49.86	49.86	NUM
fcis-30996	61	15	map	map	NOUN
fcis-30996	61	16	3.11	3.11	NUM
fcis-30996	61	17	r	r	NOUN
fcis-30996	61	18	-	-	PUNCT
fcis-30996	61	19	squared	square	VERB
fcis-30996	61	20	0.93	0.93	NUM
fcis-30996	61	21	accuracy	accuracy	NOUN
fcis-30996	61	22	91.78	91.78	NUM
fcis-30996	61	23	%	%	NOUN
fcis-30996	61	24	training	training	NOUN
fcis-30996	61	25	time	time	NOUN
fcis-30996	61	26	103.78s	103.78s	NUM
fcis-30996	61	27	figure	figure	NOUN
fcis-30996	61	28	3	3	NUM
fcis-30996	61	29	.	.	PUNCT
fcis-30996	61	30	lstm	lstm	ADJ
fcis-30996	61	31	prediction	prediction	NOUN
fcis-30996	61	32	and	and	CCONJ
fcis-30996	61	33	error	error	NOUN
fcis-30996	61	34	graphs	graph	NOUN
fcis-30996	61	35	from	from	ADP
fcis-30996	61	36	the	the	DET
fcis-30996	61	37	first	first	ADJ
fcis-30996	61	38	graph	graph	NOUN
fcis-30996	61	39	of	of	ADP
fcis-30996	61	40	figure	figure	NOUN
fcis-30996	61	41	3	3	NUM
fcis-30996	61	42	,	,	PUNCT
fcis-30996	61	43	it	it	PRON
fcis-30996	61	44	can	can	AUX
fcis-30996	61	45	be	be	AUX
fcis-30996	61	46	seen	see	VERB
fcis-30996	61	47	that	that	SCONJ
fcis-30996	61	48	the	the	DET
fcis-30996	61	49	rmse	rmse	NOUN
fcis-30996	61	50	and	and	CCONJ
fcis-30996	61	51	loss	loss	NOUN
fcis-30996	61	52	of	of	ADP
fcis-30996	61	53	the	the	DET
fcis-30996	61	54	lstm	lstm	PROPN
fcis-30996	61	55	model	model	NOUN
fcis-30996	61	56	rapidly	rapidly	ADV
fcis-30996	61	57	decrease	decrease	VERB
fcis-30996	61	58	during	during	ADP
fcis-30996	61	59	training	training	NOUN
fcis-30996	61	60	,	,	PUNCT
fcis-30996	61	61	indicating	indicate	VERB
fcis-30996	61	62	that	that	SCONJ
fcis-30996	61	63	the	the	DET
fcis-30996	61	64	model	model	NOUN
fcis-30996	61	65	can	can	AUX
fcis-30996	61	66	effectively	effectively	ADV
fcis-30996	61	67	learn	learn	VERB
fcis-30996	61	68	the	the	DET
fcis-30996	61	69	patterns	pattern	NOUN
fcis-30996	61	70	in	in	ADP
fcis-30996	61	71	the	the	DET
fcis-30996	61	72	data	datum	NOUN
fcis-30996	61	73	at	at	ADP
fcis-30996	61	74	an	an	DET
fcis-30996	61	75	early	early	ADJ
fcis-30996	61	76	stage	stage	NOUN
fcis-30996	61	77	.	.	PUNCT
fcis-30996	62	1	after	after	ADP
fcis-30996	62	2	the	the	DET
fcis-30996	62	3	initial	initial	ADJ
fcis-30996	62	4	rapid	rapid	ADJ
fcis-30996	62	5	decline	decline	NOUN
fcis-30996	62	6	,	,	PUNCT
fcis-30996	62	7	the	the	DET
fcis-30996	62	8	curve	curve	NOUN
fcis-30996	62	9	stabilizes	stabilize	VERB
fcis-30996	62	10	,	,	PUNCT
fcis-30996	62	11	showing	show	VERB
fcis-30996	62	12	that	that	SCONJ
fcis-30996	62	13	the	the	DET
fcis-30996	62	14	model	model	NOUN
fcis-30996	62	15	has	have	AUX
fcis-30996	62	16	settled	settle	VERB
fcis-30996	62	17	down	down	ADP
fcis-30996	62	18	without	without	ADP
fcis-30996	62	19	signs	sign	NOUN
fcis-30996	62	20	of	of	ADP
fcis-30996	62	21	overfitting	overfitting	NOUN
fcis-30996	62	22	or	or	CCONJ
fcis-30996	62	23	underfitting	underfitting	NOUN
fcis-30996	62	24	,	,	PUNCT
fcis-30996	62	25	indicating	indicate	VERB
fcis-30996	62	26	very	very	ADV
fcis-30996	62	27	good	good	ADJ
fcis-30996	62	28	convergence	convergence	NOUN
fcis-30996	62	29	.	.	PUNCT
fcis-30996	63	1	the	the	DET
fcis-30996	63	2	second	second	ADJ
fcis-30996	63	3	graph	graph	NOUN
fcis-30996	63	4	of	of	ADP
fcis-30996	63	5	figure	figure	NOUN
fcis-30996	63	6	3	3	NUM
fcis-30996	63	7	displays	display	VERB
fcis-30996	63	8	the	the	DET
fcis-30996	63	9	fitting	fitting	NOUN
fcis-30996	63	10	of	of	ADP
fcis-30996	63	11	the	the	DET
fcis-30996	63	12	predicted	predict	VERB
fcis-30996	63	13	values	value	NOUN
fcis-30996	63	14	and	and	CCONJ
fcis-30996	63	15	actual	actual	ADJ
fcis-30996	63	16	values	value	NOUN
fcis-30996	63	17	of	of	ADP
fcis-30996	63	18	the	the	DET
fcis-30996	63	19	lstm	lstm	PROPN
fcis-30996	63	20	model	model	NOUN
fcis-30996	63	21	,	,	PUNCT
fcis-30996	63	22	as	as	ADV
fcis-30996	63	23	well	well	ADV
fcis-30996	63	24	as	as	ADP
fcis-30996	63	25	the	the	DET
fcis-30996	63	26	error	error	NOUN
fcis-30996	63	27	distribution	distribution	NOUN
fcis-30996	63	28	.	.	PUNCT
fcis-30996	64	1	from	from	ADP
fcis-30996	64	2	the	the	DET
fcis-30996	64	3	comparison	comparison	NOUN
fcis-30996	64	4	of	of	ADP
fcis-30996	64	5	predicted	predict	VERB
fcis-30996	64	6	and	and	CCONJ
fcis-30996	64	7	actual	actual	ADJ
fcis-30996	64	8	values	value	NOUN
fcis-30996	64	9	,	,	PUNCT
fcis-30996	64	10	the	the	DET
fcis-30996	64	11	orange	orange	ADJ
fcis-30996	64	12	and	and	CCONJ
fcis-30996	64	13	pink	pink	ADJ
fcis-30996	64	14	curves	curve	NOUN
fcis-30996	64	15	almost	almost	ADV
fcis-30996	64	16	overlap	overlap	VERB
fcis-30996	64	17	,	,	PUNCT
fcis-30996	64	18	indicating	indicate	VERB
fcis-30996	64	19	that	that	SCONJ
fcis-30996	64	20	the	the	DET
fcis-30996	64	21	model	model	NOUN
fcis-30996	64	22	's	's	PART
fcis-30996	64	23	predictions	prediction	NOUN
fcis-30996	64	24	are	be	AUX
fcis-30996	64	25	very	very	ADV
fcis-30996	64	26	close	close	ADJ
fcis-30996	64	27	to	to	ADP
fcis-30996	64	28	the	the	DET
fcis-30996	64	29	actual	actual	ADJ
fcis-30996	64	30	values	value	NOUN
fcis-30996	64	31	with	with	ADP
fcis-30996	64	32	minimal	minimal	ADJ
fcis-30996	64	33	error	error	NOUN
fcis-30996	64	34	.	.	PUNCT
fcis-30996	65	1	the	the	DET
fcis-30996	65	2	error	error	NOUN
fcis-30996	65	3	distribution	distribution	NOUN
fcis-30996	65	4	is	be	AUX
fcis-30996	65	5	also	also	ADV
fcis-30996	65	6	very	very	ADV
fcis-30996	65	7	uniform	uniform	ADJ
fcis-30996	65	8	,	,	PUNCT
fcis-30996	65	9	demonstrating	demonstrate	VERB
fcis-30996	65	10	the	the	DET
fcis-30996	65	11	model	model	NOUN
fcis-30996	65	12	's	's	PART
fcis-30996	65	13	stability	stability	NOUN
fcis-30996	65	14	and	and	CCONJ
fcis-30996	65	15	high	high	ADJ
fcis-30996	65	16	accuracy	accuracy	NOUN
fcis-30996	65	17	.	.	PUNCT
fcis-30996	66	1	the	the	DET
fcis-30996	66	2	model	model	NOUN
fcis-30996	66	3	's	's	PART
fcis-30996	66	4	r2	r2	NOUN
fcis-30996	66	5	value	value	NOUN
fcis-30996	66	6	is	be	AUX
fcis-30996	66	7	as	as	ADV
fcis-30996	66	8	high	high	ADJ
fcis-30996	66	9	as	as	ADP
fcis-30996	66	10	0.96	0.96	NUM
fcis-30996	66	11	,	,	PUNCT
fcis-30996	66	12	indicating	indicate	VERB
fcis-30996	66	13	very	very	ADV
fcis-30996	66	14	accurate	accurate	ADJ
fcis-30996	66	15	predictions	prediction	NOUN
fcis-30996	66	16	.	.	PUNCT
fcis-30996	67	1	the	the	DET
fcis-30996	67	2	low	low	ADJ
fcis-30996	67	3	error	error	NOUN
fcis-30996	67	4	and	and	CCONJ
fcis-30996	67	5	high	high	ADJ
fcis-30996	67	6	fit	fit	NOUN
fcis-30996	67	7	indicate	indicate	VERB
fcis-30996	67	8	that	that	SCONJ
fcis-30996	67	9	the	the	DET
fcis-30996	67	10	lstm	lstm	PROPN
fcis-30996	67	11	model	model	NOUN
fcis-30996	67	12	performs	perform	VERB
fcis-30996	67	13	excellently	excellently	ADV
fcis-30996	67	14	in	in	ADP
fcis-30996	67	15	this	this	DET
fcis-30996	67	16	task	task	NOUN
fcis-30996	67	17	,	,	PUNCT
fcis-30996	67	18	with	with	ADP
fcis-30996	67	19	strong	strong	ADJ
fcis-30996	67	20	predictive	predictive	ADJ
fcis-30996	67	21	and	and	CCONJ
fcis-30996	67	22	generalization	generalization	NOUN
fcis-30996	67	23	capabilities	capability	NOUN
fcis-30996	67	24	.	.	PUNCT
fcis-30996	68	1	the	the	DET
fcis-30996	68	2	goalall	goalall	NOUN
fcis-30996	68	3	values	value	VERB
fcis-30996	68	4	for	for	ADP
fcis-30996	68	5	the	the	DET
fcis-30996	68	6	following	follow	VERB
fcis-30996	68	7	eight	eight	NUM
fcis-30996	68	8	countries	country	NOUN
fcis-30996	68	9	were	be	AUX
fcis-30996	68	10	predicted	predict	VERB
fcis-30996	68	11	using	use	VERB
fcis-30996	68	12	the	the	DET
fcis-30996	68	13	established	establish	VERB
fcis-30996	68	14	lstm	lstm	NOUN
fcis-30996	68	15	model	model	NOUN
fcis-30996	68	16	,	,	PUNCT
fcis-30996	68	17	with	with	SCONJ
fcis-30996	68	18	the	the	DET
fcis-30996	68	19	specific	specific	ADJ
fcis-30996	68	20	results	result	NOUN
fcis-30996	68	21	shown	show	VERB
fcis-30996	68	22	in	in	ADP
fcis-30996	68	23	the	the	DET
fcis-30996	68	24	following	follow	VERB
fcis-30996	68	25	charts	chart	NOUN
fcis-30996	68	26	:	:	PUNCT
fcis-30996	68	27	subsequently	subsequently	ADV
fcis-30996	68	28	,	,	PUNCT
fcis-30996	68	29	the	the	DET
fcis-30996	68	30	specific	specific	ADJ
fcis-30996	68	31	x	x	NOUN
fcis-30996	68	32	feature	feature	NOUN
fcis-30996	68	33	variable	variable	ADJ
fcis-30996	68	34	values	value	NOUN
fcis-30996	68	35	for	for	ADP
fcis-30996	68	36	these	these	DET
fcis-30996	68	37	eight	eight	NUM
fcis-30996	68	38	countries	country	NOUN
fcis-30996	68	39	in	in	ADP
fcis-30996	68	40	2028	2028	NUM
fcis-30996	68	41	were	be	AUX
fcis-30996	68	42	organized	organize	VERB
fcis-30996	68	43	and	and	CCONJ
fcis-30996	68	44	fed	feed	VERB
fcis-30996	68	45	into	into	ADP
fcis-30996	68	46	the	the	DET
fcis-30996	68	47	established	establish	VERB
fcis-30996	68	48	supervised	supervised	ADJ
fcis-30996	68	49	machine	machine	NOUN
fcis-30996	68	50	learning	learning	NOUN
fcis-30996	68	51	model	model	NOUN
fcis-30996	68	52	to	to	PART
fcis-30996	68	53	obtain	obtain	VERB
fcis-30996	68	54	the	the	DET
fcis-30996	68	55	prediction	prediction	NOUN
fcis-30996	68	56	data	datum	NOUN
fcis-30996	68	57	and	and	CCONJ
fcis-30996	68	58	medal	medal	ADJ
fcis-30996	68	59	standings	standing	NOUN
fcis-30996	68	60	for	for	ADP
fcis-30996	68	61	2028	2028	NUM
fcis-30996	68	62	.	.	PUNCT
fcis-30996	69	1	firstly	firstly	ADV
fcis-30996	69	2	,	,	PUNCT
fcis-30996	69	3	the	the	DET
fcis-30996	69	4	usa	usa	PROPN
fcis-30996	69	5	is	be	AUX
fcis-30996	69	6	projected	project	VERB
fcis-30996	69	7	to	to	PART
fcis-30996	69	8	increase	increase	VERB
fcis-30996	69	9	its	its	PRON
fcis-30996	69	10	medal	medal	ADJ
fcis-30996	69	11	count	count	NOUN
fcis-30996	69	12	from	from	ADP
fcis-30996	69	13	126	126	NUM
fcis-30996	69	14	in	in	ADP
fcis-30996	69	15	2024	2024	NUM
fcis-30996	69	16	to	to	ADP
fcis-30996	69	17	161	161	NUM
fcis-30996	69	18	in	in	ADP
fcis-30996	69	19	2028	2028	NUM
fcis-30996	69	20	,	,	PUNCT
fcis-30996	69	21	showing	show	VERB
fcis-30996	69	22	a	a	DET
fcis-30996	69	23	significant	significant	ADJ
fcis-30996	69	24	upward	upward	ADJ
fcis-30996	69	25	trend	trend	NOUN
fcis-30996	69	26	with	with	ADP
fcis-30996	69	27	an	an	DET
fcis-30996	69	28	increase	increase	NOUN
fcis-30996	69	29	of	of	ADP
fcis-30996	69	30	35	35	NUM
fcis-30996	69	31	medals	medal	NOUN
fcis-30996	69	32	,	,	PUNCT
fcis-30996	69	33	indicating	indicate	VERB
fcis-30996	69	34	a	a	DET
fcis-30996	69	35	stronger	strong	ADJ
fcis-30996	69	36	performance	performance	NOUN
fcis-30996	69	37	in	in	ADP
fcis-30996	69	38	the	the	DET
fcis-30996	69	39	future	future	NOUN
fcis-30996	69	40	.	.	PUNCT
fcis-30996	70	1	china	china	PROPN
fcis-30996	70	2	(	(	PUNCT
fcis-30996	70	3	chn	chn	PROPN
fcis-30996	70	4	)	)	PUNCT
fcis-30996	70	5	and	and	CCONJ
fcis-30996	70	6	australia	australia	PROPN
fcis-30996	70	7	(	(	PUNCT
fcis-30996	70	8	aus	aus	PROPN
fcis-30996	70	9	)	)	PUNCT
fcis-30996	70	10	also	also	ADV
fcis-30996	70	11	show	show	VERB
fcis-30996	70	12	growth	growth	NOUN
fcis-30996	70	13	,	,	PUNCT
fcis-30996	70	14	with	with	ADP
fcis-30996	70	15	their	their	PRON
fcis-30996	70	16	medal	medal	ADJ
fcis-30996	70	17	counts	count	NOUN
fcis-30996	70	18	rising	rise	VERB
fcis-30996	70	19	from	from	ADP
fcis-30996	70	20	91	91	NUM
fcis-30996	70	21	and	and	CCONJ
fcis-30996	70	22	53	53	NUM
fcis-30996	70	23	to	to	PART
fcis-30996	70	24	96	96	NUM
fcis-30996	70	25	and	and	CCONJ
fcis-30996	70	26	55	55	NUM
fcis-30996	70	27	,	,	PUNCT
fcis-30996	70	28	respectively	respectively	ADV
fcis-30996	70	29	,	,	PUNCT
fcis-30996	70	30	although	although	SCONJ
fcis-30996	70	31	the	the	DET
fcis-30996	70	32	increase	increase	NOUN
fcis-30996	70	33	is	be	AUX
fcis-30996	70	34	not	not	PART
fcis-30996	70	35	as	as	ADV
fcis-30996	70	36	pronounced	pronounce	VERB
fcis-30996	70	37	as	as	ADP
fcis-30996	70	38	that	that	PRON
fcis-30996	70	39	of	of	ADP
fcis-30996	70	40	the	the	DET
fcis-30996	70	41	usa	usa	PROPN
fcis-30996	70	42	.	.	PUNCT
fcis-30996	71	1	however	however	ADV
fcis-30996	71	2	,	,	PUNCT
fcis-30996	71	3	france	france	PROPN
fcis-30996	71	4	(	(	PUNCT
fcis-30996	71	5	fra	fra	PROPN
fcis-30996	71	6	)	)	PUNCT
fcis-30996	71	7	and	and	CCONJ
fcis-30996	71	8	italy	italy	PROPN
fcis-30996	71	9	(	(	PUNCT
fcis-30996	71	10	ita	ita	PROPN
fcis-30996	71	11	)	)	PUNCT
fcis-30996	71	12	are	be	AUX
fcis-30996	71	13	predicted	predict	VERB
fcis-30996	71	14	to	to	PART
fcis-30996	71	15	experience	experience	VERB
fcis-30996	71	16	a	a	DET
fcis-30996	71	17	decline	decline	NOUN
fcis-30996	71	18	in	in	ADP
fcis-30996	71	19	their	their	PRON
fcis-30996	71	20	medal	medal	ADJ
fcis-30996	71	21	counts	count	NOUN
fcis-30996	71	22	.	.	PUNCT
fcis-30996	72	1	france	france	PROPN
fcis-30996	72	2	's	's	PART
fcis-30996	72	3	medal	medal	ADJ
fcis-30996	72	4	count	count	NOUN
fcis-30996	72	5	is	be	AUX
fcis-30996	72	6	expected	expect	VERB
fcis-30996	72	7	to	to	PART
fcis-30996	72	8	drop	drop	VERB
fcis-30996	72	9	from	from	ADP
fcis-30996	72	10	64	64	NUM
fcis-30996	72	11	to	to	ADP
fcis-30996	72	12	43	43	NUM
fcis-30996	72	13	,	,	PUNCT
fcis-30996	72	14	a	a	DET
fcis-30996	72	15	decrease	decrease	NOUN
fcis-30996	72	16	of	of	ADP
fcis-30996	72	17	21	21	NUM
fcis-30996	72	18	medals	medal	NOUN
fcis-30996	72	19	,	,	PUNCT
fcis-30996	72	20	indicating	indicate	VERB
fcis-30996	72	21	a	a	DET
fcis-30996	72	22	significant	significant	ADJ
fcis-30996	72	23	downturn	downturn	NOUN
fcis-30996	72	24	.	.	PUNCT
fcis-30996	73	1	italy	italy	PROPN
fcis-30996	73	2	's	's	PART
fcis-30996	73	3	medal	medal	ADJ
fcis-30996	73	4	count	count	NOUN
fcis-30996	73	5	is	be	AUX
fcis-30996	73	6	projected	project	VERB
fcis-30996	73	7	to	to	PART
fcis-30996	73	8	fall	fall	VERB
fcis-30996	73	9	from	from	ADP
fcis-30996	73	10	40	40	NUM
fcis-30996	73	11	to	to	PART
fcis-30996	73	12	30	30	NUM
fcis-30996	73	13	,	,	PUNCT
fcis-30996	73	14	a	a	DET
fcis-30996	73	15	reduction	reduction	NOUN
fcis-30996	73	16	of	of	ADP
fcis-30996	73	17	10	10	NUM
fcis-30996	73	18	medals	medal	NOUN
fcis-30996	73	19	,	,	PUNCT
fcis-30996	73	20	also	also	ADV
fcis-30996	73	21	showing	show	VERB
fcis-30996	73	22	a	a	DET
fcis-30996	73	23	notable	notable	ADJ
fcis-30996	73	24	decline	decline	NOUN
fcis-30996	73	25	.	.	PUNCT
fcis-30996	74	1	these	these	DET
fcis-30996	74	2	two	two	NUM
fcis-30996	74	3	countries	country	NOUN
fcis-30996	74	4	may	may	AUX
fcis-30996	74	5	face	face	VERB
fcis-30996	74	6	challenges	challenge	NOUN
fcis-30996	74	7	in	in	ADP
fcis-30996	74	8	their	their	PRON
fcis-30996	74	9	future	future	ADJ
fcis-30996	74	10	performance	performance	NOUN
fcis-30996	74	11	and	and	CCONJ
fcis-30996	74	12	need	need	VERB
fcis-30996	74	13	to	to	PART
fcis-30996	74	14	take	take	VERB
fcis-30996	74	15	measures	measure	NOUN
fcis-30996	74	16	to	to	PART
fcis-30996	74	17	improve	improve	VERB
fcis-30996	74	18	their	their	PRON
fcis-30996	74	19	results	result	NOUN
fcis-30996	74	20	.	.	PUNCT
fcis-30996	75	1	5	5	X
fcis-30996	75	2	.	.	X
fcis-30996	75	3	conclusion	conclusion	NOUN
fcis-30996	75	4	in	in	ADP
fcis-30996	75	5	order	order	NOUN
fcis-30996	75	6	to	to	PART
fcis-30996	75	7	assess	assess	VERB
fcis-30996	75	8	the	the	DET
fcis-30996	75	9	development	development	NOUN
fcis-30996	75	10	level	level	NOUN
fcis-30996	75	11	of	of	ADP
fcis-30996	75	12	the	the	DET
fcis-30996	75	13	olympics	olympics	PROPN
fcis-30996	75	14	in	in	ADP
fcis-30996	75	15	various	various	ADJ
fcis-30996	75	16	countries	country	NOUN
fcis-30996	75	17	and	and	CCONJ
fcis-30996	75	18	predict	predict	VERB
fcis-30996	75	19	the	the	DET
fcis-30996	75	20	number	number	NOUN
fcis-30996	75	21	of	of	ADP
fcis-30996	75	22	medals	medal	NOUN
fcis-30996	75	23	won	win	VERB
fcis-30996	75	24	64	64	NUM
fcis-30996	75	25	by	by	ADP
fcis-30996	75	26	each	each	DET
fcis-30996	75	27	country	country	NOUN
fcis-30996	75	28	in	in	ADP
fcis-30996	75	29	the	the	DET
fcis-30996	75	30	future	future	NOUN
fcis-30996	75	31	,	,	PUNCT
fcis-30996	75	32	this	this	DET
fcis-30996	75	33	paper	paper	NOUN
fcis-30996	75	34	establishes	establish	VERB
fcis-30996	75	35	the	the	DET
fcis-30996	75	36	topsis	topsis	NOUN
fcis-30996	75	37	-	-	PUNCT
fcis-30996	75	38	lstm	lstm	NOUN
fcis-30996	75	39	-	-	PUNCT
fcis-30996	75	40	supervised	supervise	VERB
fcis-30996	75	41	learning	learning	NOUN
fcis-30996	75	42	model	model	NOUN
fcis-30996	75	43	.	.	PUNCT
fcis-30996	76	1	based	base	VERB
fcis-30996	76	2	on	on	ADP
fcis-30996	76	3	the	the	DET
fcis-30996	76	4	given	give	VERB
fcis-30996	76	5	data	datum	NOUN
fcis-30996	76	6	such	such	ADJ
fcis-30996	76	7	as	as	ADP
fcis-30996	76	8	the	the	DET
fcis-30996	76	9	number	number	NOUN
fcis-30996	76	10	of	of	ADP
fcis-30996	76	11	medals	medal	NOUN
fcis-30996	76	12	,	,	PUNCT
fcis-30996	76	13	the	the	DET
fcis-30996	76	14	number	number	NOUN
fcis-30996	76	15	of	of	ADP
fcis-30996	76	16	participants	participant	NOUN
fcis-30996	76	17	,	,	PUNCT
fcis-30996	76	18	and	and	CCONJ
fcis-30996	76	19	sports	sport	NOUN
fcis-30996	76	20	events	event	NOUN
fcis-30996	76	21	of	of	ADP
fcis-30996	76	22	previous	previous	ADJ
fcis-30996	76	23	olympic	olympic	ADJ
fcis-30996	76	24	games	game	NOUN
fcis-30996	76	25	,	,	PUNCT
fcis-30996	76	26	it	it	PRON
fcis-30996	76	27	predicts	predict	VERB
fcis-30996	76	28	the	the	DET
fcis-30996	76	29	medal	medal	ADJ
fcis-30996	76	30	table	table	NOUN
fcis-30996	76	31	of	of	ADP
fcis-30996	76	32	the	the	DET
fcis-30996	76	33	2028	2028	NUM
fcis-30996	76	34	summer	summer	NOUN
fcis-30996	76	35	olympics	olympic	NOUN
fcis-30996	76	36	in	in	ADP
fcis-30996	76	37	los	los	PROPN
fcis-30996	76	38	angeles	angeles	PROPN
fcis-30996	76	39	,	,	PUNCT
fcis-30996	76	40	usa	usa	PROPN
fcis-30996	76	41	.	.	PUNCT
fcis-30996	77	1	the	the	DET
fcis-30996	77	2	rmse	rmse	NOUN
fcis-30996	77	3	of	of	ADP
fcis-30996	77	4	the	the	DET
fcis-30996	77	5	training	training	NOUN
fcis-30996	77	6	model	model	NOUN
fcis-30996	77	7	is	be	AUX
fcis-30996	77	8	less	less	ADJ
fcis-30996	77	9	than	than	ADP
fcis-30996	77	10	5.8	5.8	NUM
fcis-30996	77	11	,	,	PUNCT
fcis-30996	77	12	r2	r2	PROPN
fcis-30996	77	13	is	be	AUX
fcis-30996	77	14	greater	great	ADJ
fcis-30996	77	15	than	than	ADP
fcis-30996	77	16	0.93	0.93	NUM
fcis-30996	77	17	,	,	PUNCT
fcis-30996	77	18	and	and	CCONJ
fcis-30996	77	19	the	the	DET
fcis-30996	77	20	medals	medal	NOUN
fcis-30996	77	21	of	of	ADP
fcis-30996	77	22	the	the	DET
fcis-30996	77	23	united	united	PROPN
fcis-30996	77	24	states	states	PROPN
fcis-30996	77	25	reach	reach	VERB
fcis-30996	77	26	126	126	NUM
fcis-30996	77	27	and	and	CCONJ
fcis-30996	77	28	those	those	PRON
fcis-30996	77	29	of	of	ADP
fcis-30996	77	30	china	china	PROPN
fcis-30996	77	31	reach	reach	VERB
fcis-30996	77	32	91	91	NUM
fcis-30996	77	33	in	in	ADP
fcis-30996	77	34	2028	2028	NUM
fcis-30996	77	35	.	.	PUNCT
fcis-30996	78	1	figure	figure	NOUN
fcis-30996	78	2	4	4	NUM
fcis-30996	78	3	.	.	PUNCT
fcis-30996	79	1	lstm	lstm	PROPN
fcis-30996	79	2	model	model	NOUN
fcis-30996	79	3	prediction	prediction	NOUN
fcis-30996	79	4	results	result	NOUN
fcis-30996	79	5	figure	figure	VERB
fcis-30996	79	6	5	5	NUM
fcis-30996	79	7	.	.	NOUN
fcis-30996	79	8	results	result	NOUN
fcis-30996	79	9	and	and	CCONJ
fcis-30996	79	10	confidence	confidence	NOUN
fcis-30996	79	11	intervals	interval	NOUN
fcis-30996	79	12	for	for	ADP
fcis-30996	79	13	question	question	NOUN
fcis-30996	79	14	1	1	NUM
fcis-30996	79	15	references	reference	NOUN
fcis-30996	79	16	[	[	X
fcis-30996	79	17	1	1	NUM
fcis-30996	79	18	]	]	PUNCT
fcis-30996	79	19	wang	wang	PROPN
fcis-30996	79	20	jiechun	jiechun	PROPN
fcis-30996	79	21	.	.	PUNCT
fcis-30996	80	1	research	research	NOUN
fcis-30996	80	2	on	on	ADP
fcis-30996	80	3	the	the	DET
fcis-30996	80	4	social	social	ADJ
fcis-30996	80	5	effects	effect	NOUN
fcis-30996	80	6	of	of	ADP
fcis-30996	80	7	competitive	competitive	ADJ
fcis-30996	80	8	sports	sport	NOUN
fcis-30996	80	9	:	:	PUNCT
fcis-30996	80	10	a	a	DET
fcis-30996	80	11	big	big	ADJ
fcis-30996	80	12	data	data	NOUN
fcis-30996	80	13	test	test	NOUN
fcis-30996	80	14	based	base	VERB
fcis-30996	80	15	on	on	ADP
fcis-30996	80	16	the	the	DET
fcis-30996	80	17	"	"	PUNCT
fcis-30996	80	18	rio	rio	NOUN
fcis-30996	80	19	olympics	olympics	PROPN
fcis-30996	80	20	"	"	PUNCT
fcis-30996	81	1	[	[	X
fcis-30996	81	2	j	j	X
fcis-30996	81	3	]	]	X
fcis-30996	81	4	.	.	PUNCT
fcis-30996	82	1	journal	journal	PROPN
fcis-30996	82	2	of	of	ADP
fcis-30996	82	3	beijing	beijing	PROPN
fcis-30996	82	4	sport	sport	PROPN
fcis-30996	82	5	university	university	PROPN
fcis-30996	82	6	,	,	PUNCT
fcis-30996	82	7	2017	2017	NUM
fcis-30996	82	8	,	,	PUNCT
fcis-30996	82	9	40	40	NUM
fcis-30996	82	10	(	(	PUNCT
fcis-30996	82	11	6	6	NUM
fcis-30996	82	12	)	)	PUNCT
fcis-30996	82	13	:	:	PUNCT
fcis-30996	82	14	33	33	NUM
fcis-30996	82	15	-	-	SYM
fcis-30996	82	16	40	40	NUM
fcis-30996	82	17	.	.	PUNCT
fcis-30996	83	1	[	[	X
fcis-30996	83	2	2	2	NUM
fcis-30996	83	3	]	]	X
fcis-30996	83	4	zhang	zhang	PROPN
fcis-30996	83	5	li	li	PROPN
fcis-30996	83	6	,	,	PUNCT
fcis-30996	83	7	li	li	PROPN
fcis-30996	83	8	zhicheng	zhicheng	PROPN
fcis-30996	83	9	,	,	PUNCT
fcis-30996	83	10	pei	pei	PROPN
fcis-30996	83	11	yu	yu	PROPN
fcis-30996	83	12	,	,	PUNCT
fcis-30996	83	13	et	et	PROPN
fcis-30996	83	14	al	al	PROPN
fcis-30996	83	15	research	research	PROPN
fcis-30996	83	16	on	on	ADP
fcis-30996	83	17	the	the	DET
fcis-30996	83	18	evolution	evolution	NOUN
fcis-30996	83	19	of	of	ADP
fcis-30996	83	20	the	the	DET
fcis-30996	83	21	competitive	competitive	ADJ
fcis-30996	83	22	landscape	landscape	NOUN
fcis-30996	83	23	of	of	ADP
fcis-30996	83	24	the	the	DET
fcis-30996	83	25	summer	summer	NOUN
fcis-30996	83	26	olympics	olympics	PROPN
fcis-30996	83	27	and	and	CCONJ
fcis-30996	83	28	the	the	DET
fcis-30996	83	29	distribution	distribution	NOUN
fcis-30996	83	30	characteristics	characteristic	NOUN
fcis-30996	83	31	of	of	ADP
fcis-30996	83	32	regional	regional	ADJ
fcis-30996	83	33	advantageous	advantageous	ADJ
fcis-30996	83	34	events	event	NOUN
fcis-30996	83	35	in	in	ADP
fcis-30996	83	36	china	china	PROPN
fcis-30996	83	37	[	[	X
fcis-30996	83	38	j	j	X
fcis-30996	83	39	]	]	X
fcis-30996	83	40	journal	journal	NOUN
fcis-30996	83	41	of	of	ADP
fcis-30996	83	42	beijing	beijing	PROPN
fcis-30996	83	43	sport	sport	PROPN
fcis-30996	83	44	university	university	PROPN
fcis-30996	83	45	,	,	PUNCT
fcis-30996	83	46	2025	2025	NUM
fcis-30996	83	47	(	(	PUNCT
fcis-30996	83	48	3	3	NUM
fcis-30996	83	49	)	)	PUNCT
fcis-30996	83	50	:	:	PUNCT
fcis-30996	83	51	13	13	NUM
fcis-30996	83	52	16	16	NUM
fcis-30996	83	53	-	-	SYM
fcis-30996	83	54	34	34	NUM
fcis-30996	83	55	.	.	PUNCT
fcis-30996	84	1	[	[	X
fcis-30996	84	2	3	3	NUM
fcis-30996	84	3	]	]	X
fcis-30996	84	4	kong	kong	PROPN
fcis-30996	84	5	lingting	lingting	PROPN
fcis-30996	84	6	,	,	PUNCT
fcis-30996	84	7	qian	qian	PROPN
fcis-30996	84	8	zhen	zhen	PROPN
fcis-30996	84	9	,	,	PUNCT
fcis-30996	84	10	liu	liu	PROPN
fcis-30996	84	11	min	min	PROPN
fcis-30996	84	12	research	research	PROPN
fcis-30996	84	13	on	on	ADP
fcis-30996	84	14	the	the	DET
fcis-30996	84	15	dispatching	dispatch	VERB
fcis-30996	84	16	strategy	strategy	NOUN
fcis-30996	84	17	of	of	ADP
fcis-30996	84	18	shanghai	shanghai	PROPN
fcis-30996	84	19	in	in	ADP
fcis-30996	84	20	response	response	NOUN
fcis-30996	84	21	to	to	ADP
fcis-30996	84	22	excessive	excessive	ADJ
fcis-30996	84	23	floods	flood	NOUN
fcis-30996	84	24	in	in	ADP
fcis-30996	84	25	the	the	DET
fcis-30996	84	26	taihu	taihu	PROPN
fcis-30996	84	27	lake	lake	PROPN
fcis-30996	84	28	basin	basin	PROPN
fcis-30996	84	29	based	base	VERB
fcis-30996	84	30	on	on	ADP
fcis-30996	84	31	the	the	DET
fcis-30996	84	32	entropy	entropy	NOUN
fcis-30996	84	33	weight	weight	NOUN
fcis-30996	84	34	topsis	topsis	NOUN
fcis-30996	84	35	evaluation	evaluation	NOUN
fcis-30996	84	36	method	method	NOUN
fcis-30996	84	37	[	[	X
fcis-30996	84	38	j	j	X
fcis-30996	84	39	]	]	X
fcis-30996	84	40	science	science	NOUN
fcis-30996	84	41	and	and	CCONJ
fcis-30996	84	42	technology	technology	NOUN
fcis-30996	84	43	progress	progress	NOUN
fcis-30996	84	44	in	in	ADP
fcis-30996	84	45	water	water	NOUN
fcis-30996	84	46	conservancy	conservancy	NOUN
fcis-30996	84	47	and	and	CCONJ
fcis-30996	84	48	hydropower,2025	hydropower,2025	NOUN
fcis-30996	84	49	,	,	PUNCT
fcis-30996	84	50	45	45	NUM
fcis-30996	84	51	(	(	PUNCT
fcis-30996	84	52	03):55	03):55	NUM
fcis-30996	84	53	-	-	SYM
fcis-30996	84	54	61	61	NUM
fcis-30996	84	55	.	.	PUNCT
fcis-30996	85	1	[	[	X
fcis-30996	85	2	4	4	NUM
fcis-30996	85	3	]	]	X
fcis-30996	85	4	peng	peng	PROPN
fcis-30996	85	5	lin	lin	PROPN
fcis-30996	85	6	,	,	PUNCT
fcis-30996	85	7	zhang	zhang	PROPN
fcis-30996	85	8	peng	peng	PROPN
fcis-30996	85	9	,	,	PUNCT
fcis-30996	85	10	chen	chen	PROPN
fcis-30996	85	11	junfeng	junfeng	PROPN
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