id	sid	tid	token	lemma	pos
fcis-11237	1	1	frontiers	frontier	NOUN
fcis-11237	1	2	in	in	ADP
fcis-11237	1	3	computing	computing	NOUN
fcis-11237	1	4	and	and	CCONJ
fcis-11237	1	5	intelligent	intelligent	ADJ
fcis-11237	1	6	systems	system	NOUN
fcis-11237	1	7	issn	issn	VERB
fcis-11237	1	8	:	:	PUNCT
fcis-11237	1	9	2832	2832	NUM
fcis-11237	1	10	-	-	SYM
fcis-11237	1	11	6024	6024	NUM
fcis-11237	1	12	|	|	NOUN
fcis-11237	1	13	vol	vol	NOUN
fcis-11237	1	14	.	.	PROPN
fcis-11237	2	1	4	4	NUM
fcis-11237	2	2	,	,	PUNCT
fcis-11237	2	3	no	no	INTJ
fcis-11237	2	4	.	.	NOUN
fcis-11237	2	5	3	3	NUM
fcis-11237	2	6	,	,	PUNCT
fcis-11237	3	1	2023	2023	NUM
fcis-11237	3	2	117	117	NUM
fcis-11237	3	3	machine	machine	NOUN
fcis-11237	3	4	learning	learning	NOUN
fcis-11237	3	5	based	base	VERB
fcis-11237	3	6	data	datum	NOUN
fcis-11237	3	7	analysis	analysis	NOUN
fcis-11237	3	8	for	for	ADP
fcis-11237	3	9	wordle	wordle	NOUN
fcis-11237	3	10	game	game	NOUN
fcis-11237	3	11	zidong	zidong	PROPN
fcis-11237	3	12	wu	wu	PROPN
fcis-11237	3	13	*	*	PUNCT
fcis-11237	3	14	department	department	PROPN
fcis-11237	3	15	of	of	ADP
fcis-11237	3	16	hangzhou	hangzhou	PROPN
fcis-11237	3	17	dianzi	dianzi	PROPN
fcis-11237	3	18	university	university	PROPN
fcis-11237	3	19	,	,	PUNCT
fcis-11237	3	20	zhejiang	zhejiang	PROPN
fcis-11237	3	21	,	,	PUNCT
fcis-11237	3	22	china	china	PROPN
fcis-11237	3	23	*	*	PUNCT
fcis-11237	3	24	corresponding	correspond	VERB
fcis-11237	3	25	author	author	NOUN
fcis-11237	3	26	email	email	NOUN
fcis-11237	3	27	:	:	PUNCT
fcis-11237	3	28	wzd1052390788@163.com	wzd1052390788@163.com	X
fcis-11237	3	29	abstract	abstract	NOUN
fcis-11237	3	30	:	:	PUNCT
fcis-11237	3	31	as	as	SCONJ
fcis-11237	3	32	wordle	wordle	NOUN
fcis-11237	3	33	game	game	NOUN
fcis-11237	3	34	is	be	AUX
fcis-11237	3	35	becoming	become	VERB
fcis-11237	3	36	more	more	ADV
fcis-11237	3	37	and	and	CCONJ
fcis-11237	3	38	more	more	ADV
fcis-11237	3	39	popular	popular	ADJ
fcis-11237	3	40	all	all	ADV
fcis-11237	3	41	over	over	ADP
fcis-11237	3	42	the	the	DET
fcis-11237	3	43	world	world	NOUN
fcis-11237	3	44	,	,	PUNCT
fcis-11237	3	45	the	the	DET
fcis-11237	3	46	study	study	NOUN
fcis-11237	3	47	of	of	ADP
fcis-11237	3	48	the	the	DET
fcis-11237	3	49	intrinsic	intrinsic	ADJ
fcis-11237	3	50	patterns	pattern	NOUN
fcis-11237	3	51	and	and	CCONJ
fcis-11237	3	52	problem	problem	NOUN
fcis-11237	3	53	-	-	PUNCT
fcis-11237	3	54	solving	solve	VERB
fcis-11237	3	55	techniques	technique	NOUN
fcis-11237	3	56	of	of	ADP
fcis-11237	3	57	the	the	DET
fcis-11237	3	58	game	game	NOUN
fcis-11237	3	59	has	have	AUX
fcis-11237	3	60	become	become	VERB
fcis-11237	3	61	a	a	DET
fcis-11237	3	62	popular	popular	ADJ
fcis-11237	3	63	topic	topic	NOUN
fcis-11237	3	64	.	.	PUNCT
fcis-11237	4	1	in	in	ADP
fcis-11237	4	2	this	this	DET
fcis-11237	4	3	paper	paper	NOUN
fcis-11237	4	4	,	,	PUNCT
fcis-11237	4	5	we	we	PRON
fcis-11237	4	6	obtained	obtain	VERB
fcis-11237	4	7	daily	daily	ADJ
fcis-11237	4	8	result	result	NOUN
fcis-11237	4	9	files	file	NOUN
fcis-11237	4	10	of	of	ADP
fcis-11237	4	11	wordle	wordle	NOUN
fcis-11237	4	12	over	over	ADP
fcis-11237	4	13	a	a	DET
fcis-11237	4	14	period	period	NOUN
fcis-11237	4	15	of	of	ADP
fcis-11237	4	16	time	time	NOUN
fcis-11237	4	17	,	,	PUNCT
fcis-11237	4	18	which	which	PRON
fcis-11237	4	19	included	include	VERB
fcis-11237	4	20	data	datum	NOUN
fcis-11237	4	21	such	such	ADJ
fcis-11237	4	22	as	as	ADP
fcis-11237	4	23	words	word	NOUN
fcis-11237	4	24	of	of	ADP
fcis-11237	4	25	the	the	DET
fcis-11237	4	26	day	day	NOUN
fcis-11237	4	27	,	,	PUNCT
fcis-11237	4	28	the	the	DET
fcis-11237	4	29	number	number	NOUN
fcis-11237	4	30	of	of	ADP
fcis-11237	4	31	people	people	NOUN
fcis-11237	4	32	who	who	PRON
fcis-11237	4	33	reported	report	VERB
fcis-11237	4	34	their	their	PRON
fcis-11237	4	35	scores	score	NOUN
fcis-11237	4	36	on	on	ADP
fcis-11237	4	37	the	the	DET
fcis-11237	4	38	day	day	NOUN
fcis-11237	4	39	,	,	PUNCT
fcis-11237	4	40	and	and	CCONJ
fcis-11237	4	41	the	the	DET
fcis-11237	4	42	number	number	NOUN
fcis-11237	4	43	of	of	ADP
fcis-11237	4	44	players	player	NOUN
fcis-11237	4	45	who	who	PRON
fcis-11237	4	46	entered	enter	VERB
fcis-11237	4	47	the	the	DET
fcis-11237	4	48	difficult	difficult	ADJ
fcis-11237	4	49	mode	mode	NOUN
fcis-11237	4	50	,	,	PUNCT
fcis-11237	4	51	and	and	CCONJ
fcis-11237	4	52	further	far	ADV
fcis-11237	4	53	analyzed	analyze	VERB
fcis-11237	4	54	the	the	DET
fcis-11237	4	55	data	datum	NOUN
fcis-11237	4	56	.	.	PUNCT
fcis-11237	5	1	in	in	ADP
fcis-11237	5	2	order	order	NOUN
fcis-11237	5	3	to	to	PART
fcis-11237	5	4	predict	predict	VERB
fcis-11237	5	5	the	the	DET
fcis-11237	5	6	results	result	NOUN
fcis-11237	5	7	reported	report	VERB
fcis-11237	5	8	on	on	ADP
fcis-11237	5	9	a	a	DET
fcis-11237	5	10	future	future	ADJ
fcis-11237	5	11	day	day	NOUN
fcis-11237	5	12	,	,	PUNCT
fcis-11237	5	13	this	this	DET
fcis-11237	5	14	paper	paper	NOUN
fcis-11237	5	15	first	first	ADV
fcis-11237	5	16	eliminates	eliminate	VERB
fcis-11237	5	17	the	the	DET
fcis-11237	5	18	abnormal	abnormal	ADJ
fcis-11237	5	19	data	datum	NOUN
fcis-11237	5	20	in	in	ADP
fcis-11237	5	21	the	the	DET
fcis-11237	5	22	dataset	dataset	NOUN
fcis-11237	5	23	,	,	PUNCT
fcis-11237	5	24	and	and	CCONJ
fcis-11237	5	25	then	then	ADV
fcis-11237	5	26	builds	build	VERB
fcis-11237	5	27	the	the	DET
fcis-11237	5	28	lstm	lstm	PROPN
fcis-11237	5	29	model	model	NOUN
fcis-11237	5	30	and	and	CCONJ
fcis-11237	5	31	arima	arima	PROPN
fcis-11237	5	32	model	model	NOUN
fcis-11237	5	33	.	.	PUNCT
fcis-11237	6	1	on	on	ADP
fcis-11237	6	2	the	the	DET
fcis-11237	6	3	test	test	NOUN
fcis-11237	6	4	set	set	NOUN
fcis-11237	6	5	,	,	PUNCT
fcis-11237	6	6	the	the	DET
fcis-11237	6	7	mape	mape	NOUN
fcis-11237	6	8	(	(	PUNCT
fcis-11237	6	9	mean	mean	VERB
fcis-11237	6	10	absolute	absolute	ADJ
fcis-11237	6	11	error	error	NOUN
fcis-11237	6	12	)	)	PUNCT
fcis-11237	6	13	of	of	ADP
fcis-11237	6	14	the	the	DET
fcis-11237	6	15	lstm	lstm	PROPN
fcis-11237	6	16	model	model	NOUN
fcis-11237	6	17	is	be	AUX
fcis-11237	6	18	5.643	5.643	NUM
fcis-11237	6	19	,	,	PUNCT
fcis-11237	6	20	and	and	CCONJ
fcis-11237	6	21	the	the	DET
fcis-11237	6	22	lstm	lstm	NOUN
fcis-11237	6	23	is	be	AUX
fcis-11237	6	24	significantly	significantly	ADV
fcis-11237	6	25	better	well	ADJ
fcis-11237	6	26	than	than	ADP
fcis-11237	6	27	the	the	DET
fcis-11237	6	28	arima	arima	PROPN
fcis-11237	6	29	model	model	NOUN
fcis-11237	6	30	.	.	PUNCT
fcis-11237	7	1	secondly	secondly	ADV
fcis-11237	7	2	,	,	PUNCT
fcis-11237	7	3	in	in	ADP
fcis-11237	7	4	order	order	NOUN
fcis-11237	7	5	to	to	PART
fcis-11237	7	6	predict	predict	VERB
fcis-11237	7	7	the	the	DET
fcis-11237	7	8	distribution	distribution	NOUN
fcis-11237	7	9	of	of	ADP
fcis-11237	7	10	word	word	NOUN
fcis-11237	7	11	results	result	VERB
fcis-11237	7	12	for	for	ADP
fcis-11237	7	13	a	a	DET
fcis-11237	7	14	given	give	VERB
fcis-11237	7	15	future	future	ADJ
fcis-11237	7	16	date	date	NOUN
fcis-11237	7	17	,	,	PUNCT
fcis-11237	7	18	the	the	DET
fcis-11237	7	19	12	12	NUM
fcis-11237	7	20	features	feature	NOUN
fcis-11237	7	21	of	of	ADP
fcis-11237	7	22	the	the	DET
fcis-11237	7	23	network	network	NOUN
fcis-11237	7	24	training	training	NOUN
fcis-11237	7	25	data	datum	NOUN
fcis-11237	7	26	were	be	AUX
fcis-11237	7	27	first	first	ADV
fcis-11237	7	28	subjected	subject	VERB
fcis-11237	7	29	to	to	ADP
fcis-11237	7	30	pca	pca	NOUN
fcis-11237	7	31	dimensionality	dimensionality	NOUN
fcis-11237	7	32	reduction	reduction	NOUN
fcis-11237	7	33	,	,	PUNCT
fcis-11237	7	34	and	and	CCONJ
fcis-11237	7	35	the	the	DET
fcis-11237	7	36	results	result	NOUN
fcis-11237	7	37	showed	show	VERB
fcis-11237	7	38	that	that	SCONJ
fcis-11237	7	39	the	the	DET
fcis-11237	7	40	percentages	percentage	NOUN
fcis-11237	7	41	were	be	AUX
fcis-11237	7	42	consistent	consistent	ADJ
fcis-11237	7	43	with	with	ADP
fcis-11237	7	44	time	time	NOUN
fcis-11237	7	45	by	by	ADP
fcis-11237	7	46	performing	perform	VERB
fcis-11237	7	47	the	the	DET
fcis-11237	7	48	shapiro	shapiro	NOUN
fcis-11237	7	49	-	-	PUNCT
fcis-11237	7	50	wilk	wilk	NOUN
fcis-11237	7	51	normalization	normalization	NOUN
fcis-11237	7	52	test	test	NOUN
fcis-11237	7	53	on	on	ADP
fcis-11237	7	54	the	the	DET
fcis-11237	7	55	correlation	correlation	NOUN
fcis-11237	7	56	percentages	percentage	NOUN
fcis-11237	7	57	.	.	PUNCT
fcis-11237	8	1	based	base	VERB
fcis-11237	8	2	on	on	ADP
fcis-11237	8	3	this	this	DET
fcis-11237	8	4	observation	observation	NOUN
fcis-11237	8	5	,	,	PUNCT
fcis-11237	8	6	we	we	PRON
fcis-11237	8	7	built	build	VERB
fcis-11237	8	8	a	a	DET
fcis-11237	8	9	bplstm	bplstm	NOUN
fcis-11237	8	10	parallel	parallel	NOUN
fcis-11237	8	11	model	model	NOUN
fcis-11237	8	12	to	to	PART
fcis-11237	8	13	extract	extract	VERB
fcis-11237	8	14	word	word	NOUN
fcis-11237	8	15	attributes	attribute	NOUN
fcis-11237	8	16	and	and	CCONJ
fcis-11237	8	17	extract	extract	VERB
fcis-11237	8	18	percentage	percentage	NOUN
fcis-11237	8	19	features	feature	NOUN
fcis-11237	8	20	over	over	ADP
fcis-11237	8	21	time	time	NOUN
fcis-11237	8	22	.	.	PUNCT
fcis-11237	9	1	the	the	DET
fcis-11237	9	2	model	model	NOUN
fcis-11237	9	3	has	have	VERB
fcis-11237	9	4	a	a	DET
fcis-11237	9	5	mape	mape	NOUN
fcis-11237	9	6	of	of	ADP
fcis-11237	9	7	6.09	6.09	NUM
fcis-11237	9	8	,	,	PUNCT
fcis-11237	9	9	which	which	PRON
fcis-11237	9	10	outperforms	outperform	VERB
fcis-11237	9	11	a	a	DET
fcis-11237	9	12	bp	bp	PROPN
fcis-11237	9	13	neural	neural	ADJ
fcis-11237	9	14	network	network	NOUN
fcis-11237	9	15	that	that	PRON
fcis-11237	9	16	can	can	AUX
fcis-11237	9	17	only	only	ADV
fcis-11237	9	18	extract	extract	VERB
fcis-11237	9	19	word	word	NOUN
fcis-11237	9	20	attributes	attribute	NOUN
fcis-11237	9	21	.	.	PUNCT
fcis-11237	10	1	keywords	keyword	NOUN
fcis-11237	10	2	:	:	PUNCT
fcis-11237	10	3	wordle	wordle	NOUN
fcis-11237	10	4	;	;	PUNCT
fcis-11237	10	5	arima	arima	NOUN
fcis-11237	10	6	;	;	PUNCT
fcis-11237	10	7	lstm	lstm	PROPN
fcis-11237	10	8	;	;	PUNCT
fcis-11237	10	9	bp	bp	PROPN
fcis-11237	10	10	-	-	PUNCT
fcis-11237	10	11	lstm	lstm	NOUN
fcis-11237	10	12	-	-	PUNCT
fcis-11237	10	13	parallel	parallel	NOUN
fcis-11237	10	14	.	.	PUNCT
fcis-11237	11	1	1	1	X
fcis-11237	11	2	.	.	X
fcis-11237	11	3	introduction	introduction	NOUN
fcis-11237	11	4	wordle	wordle	NOUN
fcis-11237	11	5	is	be	AUX
fcis-11237	11	6	a	a	DET
fcis-11237	11	7	popular	popular	ADJ
fcis-11237	11	8	word	word	NOUN
fcis-11237	11	9	guessing	guess	VERB
fcis-11237	11	10	game	game	NOUN
fcis-11237	11	11	on	on	ADP
fcis-11237	11	12	the	the	DET
fcis-11237	11	13	internet	internet	NOUN
fcis-11237	12	1	[	[	X
fcis-11237	12	2	1	1	NUM
fcis-11237	12	3	]	]	PUNCT
fcis-11237	12	4	.	.	PUNCT
fcis-11237	13	1	players	player	NOUN
fcis-11237	13	2	have	have	VERB
fcis-11237	13	3	up	up	ADP
fcis-11237	13	4	to	to	PART
fcis-11237	13	5	six	six	NUM
fcis-11237	13	6	chances	chance	NOUN
fcis-11237	13	7	to	to	PART
fcis-11237	13	8	guess	guess	VERB
fcis-11237	13	9	a	a	DET
fcis-11237	13	10	five	five	NUM
fcis-11237	13	11	-	-	PUNCT
fcis-11237	13	12	letter	letter	NOUN
fcis-11237	13	13	word	word	NOUN
fcis-11237	13	14	.	.	PUNCT
fcis-11237	14	1	for	for	ADP
fcis-11237	14	2	each	each	DET
fcis-11237	14	3	guess	guess	NOUN
fcis-11237	14	4	,	,	PUNCT
fcis-11237	14	5	the	the	DET
fcis-11237	14	6	system	system	NOUN
fcis-11237	14	7	gives	give	VERB
fcis-11237	14	8	a	a	DET
fcis-11237	14	9	hint	hint	NOUN
fcis-11237	14	10	based	base	VERB
fcis-11237	14	11	on	on	ADP
fcis-11237	14	12	how	how	SCONJ
fcis-11237	14	13	well	well	ADV
fcis-11237	14	14	the	the	DET
fcis-11237	14	15	guessed	guess	VERB
fcis-11237	14	16	word	word	NOUN
fcis-11237	14	17	matches	match	VERB
fcis-11237	14	18	the	the	DET
fcis-11237	14	19	correct	correct	ADJ
fcis-11237	14	20	answer	answer	NOUN
fcis-11237	14	21	.	.	PUNCT
fcis-11237	15	1	the	the	DET
fcis-11237	15	2	game	game	NOUN
fcis-11237	15	3	is	be	AUX
fcis-11237	15	4	designed	design	VERB
fcis-11237	15	5	so	so	SCONJ
fcis-11237	15	6	that	that	SCONJ
fcis-11237	15	7	you	you	PRON
fcis-11237	15	8	can	can	AUX
fcis-11237	15	9	easily	easily	ADV
fcis-11237	15	10	share	share	VERB
fcis-11237	15	11	your	your	PRON
fcis-11237	15	12	word	word	NOUN
fcis-11237	15	13	-	-	PUNCT
fcis-11237	15	14	guessing	guess	VERB
fcis-11237	15	15	patterns	pattern	NOUN
fcis-11237	15	16	after	after	ADP
fcis-11237	15	17	guessing	guess	VERB
fcis-11237	15	18	the	the	DET
fcis-11237	15	19	answer	answer	NOUN
fcis-11237	15	20	.	.	PUNCT
fcis-11237	16	1	the	the	DET
fcis-11237	16	2	game	game	NOUN
fcis-11237	16	3	can	can	AUX
fcis-11237	16	4	only	only	ADV
fcis-11237	16	5	be	be	AUX
fcis-11237	16	6	played	play	VERB
fcis-11237	16	7	once	once	ADV
fcis-11237	16	8	a	a	DET
fcis-11237	16	9	day	day	NOUN
fcis-11237	16	10	and	and	CCONJ
fcis-11237	16	11	people	people	NOUN
fcis-11237	16	12	all	all	ADV
fcis-11237	16	13	over	over	ADP
fcis-11237	16	14	the	the	DET
fcis-11237	16	15	world	world	NOUN
fcis-11237	16	16	are	be	AUX
fcis-11237	16	17	guessing	guess	VERB
fcis-11237	16	18	the	the	DET
fcis-11237	16	19	same	same	ADJ
fcis-11237	16	20	word	word	NOUN
fcis-11237	16	21	.	.	PUNCT
fcis-11237	17	1	as	as	ADP
fcis-11237	17	2	a	a	DET
fcis-11237	17	3	result	result	NOUN
fcis-11237	17	4	,	,	PUNCT
fcis-11237	17	5	the	the	DET
fcis-11237	17	6	process	process	NOUN
fcis-11237	17	7	of	of	ADP
fcis-11237	17	8	winning	win	VERB
fcis-11237	17	9	players	player	NOUN
fcis-11237	17	10	sharing	share	VERB
fcis-11237	17	11	their	their	PRON
fcis-11237	17	12	word	word	NOUN
fcis-11237	17	13	-	-	PUNCT
fcis-11237	17	14	guessing	guess	VERB
fcis-11237	17	15	results	result	NOUN
fcis-11237	17	16	is	be	AUX
fcis-11237	17	17	very	very	ADV
fcis-11237	17	18	social	social	ADJ
fcis-11237	17	19	.	.	PUNCT
fcis-11237	18	1	thanks	thank	NOUN
fcis-11237	18	2	to	to	ADP
fcis-11237	18	3	its	its	PRON
fcis-11237	18	4	fun	fun	NOUN
fcis-11237	18	5	rules	rule	NOUN
fcis-11237	18	6	and	and	CCONJ
fcis-11237	18	7	healthy	healthy	ADJ
fcis-11237	18	8	social	social	ADJ
fcis-11237	18	9	attributes	attribute	NOUN
fcis-11237	18	10	,	,	PUNCT
fcis-11237	18	11	wordle	wordle	NOUN
fcis-11237	18	12	has	have	AUX
fcis-11237	18	13	been	be	AUX
fcis-11237	18	14	played	play	VERB
fcis-11237	18	15	by	by	ADP
fcis-11237	18	16	tens	ten	NOUN
fcis-11237	18	17	of	of	ADP
fcis-11237	18	18	thousands	thousand	NOUN
fcis-11237	18	19	of	of	ADP
fcis-11237	18	20	people	people	NOUN
fcis-11237	18	21	for	for	ADP
fcis-11237	18	22	more	more	ADJ
fcis-11237	18	23	than	than	ADP
fcis-11237	18	24	300	300	NUM
fcis-11237	18	25	days	day	NOUN
fcis-11237	18	26	.	.	PUNCT
fcis-11237	19	1	we	we	PRON
fcis-11237	19	2	tried	try	VERB
fcis-11237	19	3	to	to	PART
fcis-11237	19	4	analyze	analyze	VERB
fcis-11237	19	5	the	the	DET
fcis-11237	19	6	results	result	NOUN
fcis-11237	19	7	of	of	ADP
fcis-11237	19	8	future	future	ADJ
fcis-11237	19	9	game	game	NOUN
fcis-11237	19	10	reports	report	NOUN
fcis-11237	19	11	based	base	VERB
fcis-11237	19	12	on	on	ADP
fcis-11237	19	13	past	past	ADJ
fcis-11237	19	14	data	datum	NOUN
fcis-11237	19	15	and	and	CCONJ
fcis-11237	19	16	attempted	attempt	VERB
fcis-11237	19	17	to	to	PART
fcis-11237	19	18	analyze	analyze	VERB
fcis-11237	19	19	the	the	DET
fcis-11237	19	20	difficulty	difficulty	NOUN
fcis-11237	19	21	of	of	ADP
fcis-11237	19	22	each	each	DET
fcis-11237	19	23	word	word	NOUN
fcis-11237	19	24	in	in	ADP
fcis-11237	19	25	the	the	DET
fcis-11237	19	26	questions	question	NOUN
fcis-11237	19	27	.	.	PUNCT
fcis-11237	20	1	in	in	ADP
fcis-11237	20	2	this	this	DET
fcis-11237	20	3	paper	paper	NOUN
fcis-11237	20	4	,	,	PUNCT
fcis-11237	20	5	we	we	PRON
fcis-11237	20	6	have	have	VERB
fcis-11237	20	7	information	information	NOUN
fcis-11237	20	8	on	on	ADP
fcis-11237	20	9	the	the	DET
fcis-11237	20	10	date	date	NOUN
fcis-11237	20	11	and	and	CCONJ
fcis-11237	20	12	number	number	NOUN
fcis-11237	20	13	of	of	ADP
fcis-11237	20	14	wordle	wordle	NOUN
fcis-11237	20	15	matches	match	NOUN
fcis-11237	20	16	,	,	PUNCT
fcis-11237	20	17	the	the	DET
fcis-11237	20	18	daily	daily	ADJ
fcis-11237	20	19	match	match	NOUN
fcis-11237	20	20	questions	question	NOUN
fcis-11237	20	21	,	,	PUNCT
fcis-11237	20	22	the	the	DET
fcis-11237	20	23	number	number	NOUN
fcis-11237	20	24	of	of	ADP
fcis-11237	20	25	people	people	NOUN
fcis-11237	20	26	reporting	report	VERB
fcis-11237	20	27	scores	score	NOUN
fcis-11237	20	28	each	each	DET
fcis-11237	20	29	day	day	NOUN
fcis-11237	20	30	,	,	PUNCT
fcis-11237	20	31	the	the	DET
fcis-11237	20	32	number	number	NOUN
fcis-11237	20	33	of	of	ADP
fcis-11237	20	34	players	player	NOUN
fcis-11237	20	35	participating	participate	VERB
fcis-11237	20	36	in	in	ADP
fcis-11237	20	37	the	the	DET
fcis-11237	20	38	difficult	difficult	ADJ
fcis-11237	20	39	mode	mode	NOUN
fcis-11237	20	40	each	each	DET
fcis-11237	20	41	day	day	NOUN
fcis-11237	20	42	,	,	PUNCT
fcis-11237	20	43	and	and	CCONJ
fcis-11237	20	44	the	the	DET
fcis-11237	20	45	percentage	percentage	NOUN
fcis-11237	20	46	of	of	ADP
fcis-11237	20	47	guesses	guess	NOUN
fcis-11237	20	48	(	(	PUNCT
fcis-11237	20	49	1	1	NUM
fcis-11237	20	50	,	,	PUNCT
fcis-11237	20	51	2	2	NUM
fcis-11237	20	52	,	,	PUNCT
fcis-11237	20	53	3	3	NUM
fcis-11237	20	54	,	,	PUNCT
fcis-11237	20	55	4	4	NUM
fcis-11237	20	56	,	,	PUNCT
fcis-11237	20	57	5	5	NUM
fcis-11237	20	58	,	,	PUNCT
fcis-11237	20	59	6	6	NUM
fcis-11237	20	60	,	,	PUNCT
fcis-11237	20	61	x	x	PRON
fcis-11237	20	62	)	)	PUNCT
fcis-11237	20	63	attempted	attempt	VERB
fcis-11237	20	64	by	by	ADP
fcis-11237	20	65	each	each	DET
fcis-11237	20	66	player	player	NOUN
fcis-11237	20	67	.	.	PUNCT
fcis-11237	21	1	a	a	DET
fcis-11237	21	2	time	time	NOUN
fcis-11237	21	3	series	series	NOUN
fcis-11237	21	4	model	model	NOUN
fcis-11237	21	5	is	be	AUX
fcis-11237	21	6	created	create	VERB
fcis-11237	21	7	based	base	VERB
fcis-11237	21	8	on	on	ADP
fcis-11237	21	9	the	the	DET
fcis-11237	21	10	number	number	NOUN
fcis-11237	21	11	of	of	ADP
fcis-11237	21	12	results	result	NOUN
fcis-11237	21	13	reported	report	VERB
fcis-11237	21	14	each	each	DET
fcis-11237	21	15	day	day	NOUN
fcis-11237	21	16	to	to	PART
fcis-11237	21	17	predict	predict	VERB
fcis-11237	21	18	the	the	DET
fcis-11237	21	19	range	range	NOUN
fcis-11237	21	20	of	of	ADP
fcis-11237	21	21	results	result	NOUN
fcis-11237	21	22	on	on	ADP
fcis-11237	21	23	a	a	DET
fcis-11237	21	24	future	future	ADJ
fcis-11237	21	25	date	date	NOUN
fcis-11237	21	26	.	.	PUNCT
fcis-11237	22	1	also	also	ADV
fcis-11237	22	2	in	in	ADP
fcis-11237	22	3	this	this	DET
fcis-11237	22	4	paper	paper	NOUN
fcis-11237	22	5	,	,	PUNCT
fcis-11237	22	6	an	an	DET
fcis-11237	22	7	attempt	attempt	NOUN
fcis-11237	22	8	is	be	AUX
fcis-11237	22	9	made	make	VERB
fcis-11237	22	10	to	to	PART
fcis-11237	22	11	create	create	VERB
fcis-11237	22	12	a	a	DET
fcis-11237	22	13	predictive	predictive	ADJ
fcis-11237	22	14	model	model	NOUN
fcis-11237	22	15	to	to	PART
fcis-11237	22	16	further	far	ADV
fcis-11237	22	17	predict	predict	VERB
fcis-11237	22	18	the	the	DET
fcis-11237	22	19	distribution	distribution	NOUN
fcis-11237	22	20	of	of	ADP
fcis-11237	22	21	reported	report	VERB
fcis-11237	22	22	results	result	NOUN
fcis-11237	22	23	for	for	ADP
fcis-11237	22	24	a	a	DET
fcis-11237	22	25	single	single	ADJ
fcis-11237	22	26	player	player	NOUN
fcis-11237	22	27	attempt	attempt	NOUN
fcis-11237	22	28	to	to	PART
fcis-11237	22	29	guess	guess	VERB
fcis-11237	22	30	on	on	ADP
fcis-11237	22	31	a	a	DET
fcis-11237	22	32	particular	particular	ADJ
fcis-11237	22	33	day	day	NOUN
fcis-11237	22	34	in	in	ADP
fcis-11237	22	35	the	the	DET
fcis-11237	22	36	future	future	NOUN
fcis-11237	22	37	.	.	PUNCT
fcis-11237	23	1	2	2	X
fcis-11237	23	2	.	.	X
fcis-11237	23	3	data	datum	NOUN
fcis-11237	23	4	preprocessing	preprocessing	NOUN
fcis-11237	23	5	at	at	ADP
fcis-11237	23	6	the	the	DET
fcis-11237	23	7	beginning	beginning	NOUN
fcis-11237	23	8	of	of	ADP
fcis-11237	23	9	data	datum	NOUN
fcis-11237	23	10	preprocessing	preprocessing	NOUN
fcis-11237	23	11	,	,	PUNCT
fcis-11237	23	12	we	we	PRON
fcis-11237	23	13	need	need	VERB
fcis-11237	23	14	to	to	PART
fcis-11237	23	15	make	make	VERB
fcis-11237	23	16	sure	sure	ADJ
fcis-11237	23	17	that	that	SCONJ
fcis-11237	23	18	the	the	DET
fcis-11237	23	19	data	data	NOUN
fcis-11237	23	20	is	be	AUX
fcis-11237	23	21	available	available	ADJ
fcis-11237	23	22	.	.	PUNCT
fcis-11237	24	1	outlier	outlier	NOUN
fcis-11237	24	2	handling	handling	NOUN
fcis-11237	24	3	.	.	PUNCT
fcis-11237	25	1	in	in	ADP
fcis-11237	25	2	general	general	ADJ
fcis-11237	25	3	prediction	prediction	NOUN
fcis-11237	25	4	problems	problem	NOUN
fcis-11237	25	5	,	,	PUNCT
fcis-11237	25	6	the	the	DET
fcis-11237	25	7	model	model	NOUN
fcis-11237	25	8	is	be	AUX
fcis-11237	25	9	usually	usually	ADV
fcis-11237	25	10	a	a	DET
fcis-11237	25	11	representation	representation	NOUN
fcis-11237	25	12	of	of	ADP
fcis-11237	25	13	the	the	DET
fcis-11237	25	14	overall	overall	ADJ
fcis-11237	25	15	structure	structure	NOUN
fcis-11237	25	16	of	of	ADP
fcis-11237	25	17	the	the	DET
fcis-11237	25	18	sample	sample	NOUN
fcis-11237	25	19	data	datum	NOUN
fcis-11237	25	20	.	.	PUNCT
fcis-11237	26	1	the	the	DET
fcis-11237	26	2	model	model	NOUN
fcis-11237	26	3	focuses	focus	VERB
fcis-11237	26	4	on	on	ADP
fcis-11237	26	5	the	the	DET
fcis-11237	26	6	general	general	ADJ
fcis-11237	26	7	properties	property	NOUN
fcis-11237	26	8	of	of	ADP
fcis-11237	26	9	the	the	DET
fcis-11237	26	10	sample	sample	NOUN
fcis-11237	26	11	as	as	ADP
fcis-11237	26	12	a	a	DET
fcis-11237	26	13	whole	whole	NOUN
fcis-11237	26	14	,	,	PUNCT
fcis-11237	26	15	and	and	CCONJ
fcis-11237	26	16	points	point	VERB
fcis-11237	26	17	where	where	SCONJ
fcis-11237	26	18	the	the	DET
fcis-11237	26	19	properties	property	NOUN
fcis-11237	26	20	are	be	AUX
fcis-11237	26	21	completely	completely	ADV
fcis-11237	26	22	inconsistent	inconsistent	ADJ
fcis-11237	26	23	with	with	ADP
fcis-11237	26	24	the	the	DET
fcis-11237	26	25	sample	sample	NOUN
fcis-11237	26	26	as	as	ADP
fcis-11237	26	27	a	a	DET
fcis-11237	26	28	whole	whole	NOUN
fcis-11237	26	29	are	be	AUX
fcis-11237	26	30	called	call	VERB
fcis-11237	26	31	outliers	outlier	NOUN
fcis-11237	26	32	.	.	PUNCT
fcis-11237	27	1	first	first	ADV
fcis-11237	27	2	,	,	PUNCT
fcis-11237	27	3	we	we	PRON
fcis-11237	27	4	found	find	VERB
fcis-11237	27	5	that	that	SCONJ
fcis-11237	27	6	the	the	DET
fcis-11237	27	7	number	number	NOUN
fcis-11237	27	8	of	of	ADP
fcis-11237	27	9	outcome	outcome	NOUN
fcis-11237	27	10	reports	report	NOUN
fcis-11237	27	11	for	for	ADP
fcis-11237	27	12	november	november	PROPN
fcis-11237	27	13	29	29	NUM
fcis-11237	27	14	,	,	PUNCT
fcis-11237	27	15	2022	2022	NUM
fcis-11237	27	16	was	be	AUX
fcis-11237	27	17	only	only	ADV
fcis-11237	27	18	2,569	2,569	NUM
fcis-11237	27	19	,	,	PUNCT
fcis-11237	27	20	which	which	PRON
fcis-11237	27	21	is	be	AUX
fcis-11237	27	22	much	much	ADV
fcis-11237	27	23	less	less	ADJ
fcis-11237	27	24	than	than	ADP
fcis-11237	27	25	the	the	DET
fcis-11237	27	26	number	number	NOUN
fcis-11237	27	27	of	of	ADP
fcis-11237	27	28	reports	report	NOUN
fcis-11237	27	29	for	for	ADP
fcis-11237	27	30	december	december	PROPN
fcis-11237	27	31	1	1	NUM
fcis-11237	27	32	,	,	PUNCT
fcis-11237	27	33	2022	2022	NUM
fcis-11237	27	34	and	and	CCONJ
fcis-11237	27	35	november	november	PROPN
fcis-11237	27	36	29	29	NUM
fcis-11237	27	37	,	,	PUNCT
fcis-11237	27	38	2022	2022	NUM
fcis-11237	27	39	,	,	PUNCT
fcis-11237	27	40	so	so	ADV
fcis-11237	27	41	we	we	PRON
fcis-11237	27	42	deleted	delete	VERB
fcis-11237	27	43	the	the	DET
fcis-11237	27	44	data	datum	NOUN
fcis-11237	27	45	for	for	ADP
fcis-11237	27	46	this	this	DET
fcis-11237	27	47	day	day	NOUN
fcis-11237	27	48	so	so	SCONJ
fcis-11237	27	49	that	that	SCONJ
fcis-11237	27	50	it	it	PRON
fcis-11237	27	51	would	would	AUX
fcis-11237	27	52	not	not	PART
fcis-11237	27	53	participate	participate	VERB
fcis-11237	27	54	in	in	ADP
fcis-11237	27	55	the	the	DET
fcis-11237	27	56	model	model	NOUN
fcis-11237	27	57	construction	construction	NOUN
fcis-11237	27	58	.	.	PUNCT
fcis-11237	28	1	second	second	ADJ
fcis-11237	28	2	,	,	PUNCT
fcis-11237	28	3	we	we	PRON
fcis-11237	28	4	also	also	ADV
fcis-11237	28	5	calculated	calculate	VERB
fcis-11237	28	6	the	the	DET
fcis-11237	28	7	sum	sum	NOUN
fcis-11237	28	8	of	of	ADP
fcis-11237	28	9	the	the	DET
fcis-11237	28	10	correlation	correlation	NOUN
fcis-11237	28	11	percentages	percentage	NOUN
fcis-11237	28	12	for	for	ADP
fcis-11237	28	13	specific	specific	ADJ
fcis-11237	28	14	dates	date	NOUN
fcis-11237	28	15	(	(	PUNCT
fcis-11237	28	16	1	1	NUM
fcis-11237	28	17	,	,	PUNCT
fcis-11237	28	18	2	2	NUM
fcis-11237	28	19	,	,	PUNCT
fcis-11237	28	20	3	3	NUM
fcis-11237	28	21	,	,	PUNCT
fcis-11237	28	22	4	4	NUM
fcis-11237	28	23	,	,	PUNCT
fcis-11237	28	24	5	5	NUM
fcis-11237	28	25	,	,	PUNCT
fcis-11237	28	26	6	6	NUM
fcis-11237	28	27	,	,	PUNCT
fcis-11237	28	28	x	x	NOUN
fcis-11237	28	29	)	)	PUNCT
fcis-11237	28	30	.	.	PUNCT
fcis-11237	29	1	smoothing	smooth	VERB
fcis-11237	29	2	filter	filter	NOUN
fcis-11237	29	3	.	.	PUNCT
fcis-11237	30	1	the	the	DET
fcis-11237	30	2	time	time	NOUN
fcis-11237	30	3	series	series	PROPN
fcis-11237	30	4	are	be	AUX
fcis-11237	30	5	predicted	predict	VERB
fcis-11237	30	6	and	and	CCONJ
fcis-11237	30	7	trained	train	VERB
fcis-11237	30	8	one	one	NUM
fcis-11237	30	9	by	by	ADP
fcis-11237	30	10	one	one	NUM
fcis-11237	30	11	in	in	ADP
fcis-11237	30	12	terms	term	NOUN
fcis-11237	30	13	of	of	ADP
fcis-11237	30	14	time	time	NOUN
fcis-11237	30	15	.	.	PUNCT
fcis-11237	31	1	in	in	ADP
fcis-11237	31	2	this	this	DET
fcis-11237	31	3	example	example	NOUN
fcis-11237	31	4	,	,	PUNCT
fcis-11237	31	5	we	we	PRON
fcis-11237	31	6	are	be	AUX
fcis-11237	31	7	predicting	predict	VERB
fcis-11237	31	8	march	march	PROPN
fcis-11237	31	9	1	1	NUM
fcis-11237	31	10	,	,	PUNCT
fcis-11237	31	11	almost	almost	ADV
fcis-11237	31	12	60	60	NUM
fcis-11237	31	13	days	day	NOUN
fcis-11237	31	14	before	before	ADP
fcis-11237	31	15	the	the	DET
fcis-11237	31	16	last	last	ADJ
fcis-11237	31	17	day	day	NOUN
fcis-11237	31	18	of	of	ADP
fcis-11237	31	19	the	the	DET
fcis-11237	31	20	dataset	dataset	NOUN
fcis-11237	31	21	.	.	PUNCT
fcis-11237	32	1	if	if	SCONJ
fcis-11237	32	2	the	the	DET
fcis-11237	32	3	prediction	prediction	NOUN
fcis-11237	32	4	is	be	AUX
fcis-11237	32	5	done	do	VERB
fcis-11237	32	6	on	on	ADP
fcis-11237	32	7	a	a	DET
fcis-11237	32	8	day	day	NOUN
fcis-11237	32	9	-	-	PUNCT
fcis-11237	32	10	by	by	ADP
fcis-11237	32	11	-	-	PUNCT
fcis-11237	32	12	day	day	NOUN
fcis-11237	32	13	basis	basis	NOUN
fcis-11237	32	14	,	,	PUNCT
fcis-11237	32	15	the	the	DET
fcis-11237	32	16	prediction	prediction	NOUN
fcis-11237	32	17	is	be	AUX
fcis-11237	32	18	difficult	difficult	ADJ
fcis-11237	32	19	and	and	CCONJ
fcis-11237	32	20	prone	prone	ADJ
fcis-11237	32	21	to	to	ADP
fcis-11237	32	22	large	large	ADJ
fcis-11237	32	23	errors	error	NOUN
fcis-11237	32	24	.	.	PUNCT
fcis-11237	33	1	in	in	ADP
fcis-11237	33	2	order	order	NOUN
fcis-11237	33	3	to	to	PART
fcis-11237	33	4	reduce	reduce	VERB
fcis-11237	33	5	the	the	DET
fcis-11237	33	6	prediction	prediction	NOUN
fcis-11237	33	7	error	error	NOUN
fcis-11237	33	8	,	,	PUNCT
fcis-11237	33	9	we	we	PRON
fcis-11237	33	10	use	use	VERB
fcis-11237	33	11	the	the	DET
fcis-11237	33	12	average	average	NOUN
fcis-11237	33	13	of	of	ADP
fcis-11237	33	14	10	10	NUM
fcis-11237	33	15	days	day	NOUN
fcis-11237	33	16	as	as	ADP
fcis-11237	33	17	the	the	DET
fcis-11237	33	18	time	time	NOUN
fcis-11237	33	19	unit	unit	NOUN
fcis-11237	33	20	for	for	ADP
fcis-11237	33	21	training	training	NOUN
fcis-11237	33	22	and	and	CCONJ
fcis-11237	33	23	prediction	prediction	NOUN
fcis-11237	33	24	,	,	PUNCT
fcis-11237	33	25	which	which	PRON
fcis-11237	33	26	reduces	reduce	VERB
fcis-11237	33	27	the	the	DET
fcis-11237	33	28	span	span	NOUN
fcis-11237	33	29	of	of	ADP
fcis-11237	33	30	the	the	DET
fcis-11237	33	31	time	time	NOUN
fcis-11237	33	32	unit	unit	NOUN
fcis-11237	33	33	for	for	ADP
fcis-11237	33	34	prediction	prediction	NOUN
fcis-11237	33	35	.	.	PUNCT
fcis-11237	34	1	the	the	DET
fcis-11237	34	2	following	follow	VERB
fcis-11237	34	3	formula	formula	NOUN
fcis-11237	34	4	is	be	AUX
fcis-11237	34	5	the	the	DET
fcis-11237	34	6	relevant	relevant	ADJ
fcis-11237	34	7	formula	formula	NOUN
fcis-11237	34	8	for	for	ADP
fcis-11237	34	9	smoothing	smooth	VERB
fcis-11237	34	10	filtering	filter	VERB
fcis-11237	34	11	.	.	PUNCT
fcis-11237	35	1	(	(	PUNCT
fcis-11237	35	2	1	1	X
fcis-11237	35	3	)	)	PUNCT
fcis-11237	35	4	standardized	standardized	ADJ
fcis-11237	35	5	processing	processing	NOUN
fcis-11237	35	6	.	.	PUNCT
fcis-11237	36	1	in	in	ADP
fcis-11237	36	2	machine	machine	NOUN
fcis-11237	36	3	learning	learning	NOUN
fcis-11237	36	4	,	,	PUNCT
fcis-11237	36	5	we	we	PRON
fcis-11237	36	6	often	often	ADV
fcis-11237	36	7	need	need	VERB
fcis-11237	36	8	to	to	PART
fcis-11237	36	9	process	process	VERB
fcis-11237	36	10	different	different	ADJ
fcis-11237	36	11	types	type	NOUN
fcis-11237	36	12	of	of	ADP
fcis-11237	36	13	data	datum	NOUN
fcis-11237	36	14	.	.	PUNCT
fcis-11237	37	1	here	here	ADV
fcis-11237	37	2	,	,	PUNCT
fcis-11237	37	3	we	we	PRON
fcis-11237	37	4	normalize	normalize	VERB
fcis-11237	37	5	the	the	DET
fcis-11237	37	6	number	number	NOUN
fcis-11237	37	7	of	of	ADP
fcis-11237	37	8	results	result	NOUN
fcis-11237	37	9	reported	report	VERB
fcis-11237	37	10	each	each	DET
fcis-11237	37	11	day	day	NOUN
fcis-11237	37	12	.	.	PUNCT
fcis-11237	38	1	the	the	DET
fcis-11237	38	2	relevant	relevant	ADJ
fcis-11237	38	3	expression	expression	NOUN
fcis-11237	38	4	is	be	AUX
fcis-11237	38	5	as	as	SCONJ
fcis-11237	38	6	follows	follow	VERB
fcis-11237	38	7	:	:	PUNCT
fcis-11237	38	8	where	where	SCONJ
fcis-11237	38	9	µ	µ	NOUN
fcis-11237	38	10	and	and	CCONJ
fcis-11237	38	11	σ	σ	PROPN
fcis-11237	38	12	are	be	AUX
fcis-11237	38	13	the	the	DET
fcis-11237	38	14	mean	mean	ADJ
fcis-11237	38	15	and	and	CCONJ
fcis-11237	38	16	standard	standard	ADJ
fcis-11237	38	17	deviation	deviation	NOUN
fcis-11237	38	18	of	of	ADP
fcis-11237	38	19	the	the	DET
fcis-11237	38	20	sample	sample	NOUN
fcis-11237	38	21	data	datum	NOUN
fcis-11237	38	22	,	,	PUNCT
fcis-11237	38	23	respectively	respectively	ADV
fcis-11237	38	24	.	.	PUNCT
fcis-11237	39	1	(	(	PUNCT
fcis-11237	39	2	2	2	NUM
fcis-11237	39	3	)	)	PUNCT
fcis-11237	39	4	3	3	NUM
fcis-11237	39	5	.	.	PUNCT
fcis-11237	40	1	forecasting	forecast	VERB
fcis-11237	40	2	the	the	DET
fcis-11237	40	3	number	number	NOUN
fcis-11237	40	4	of	of	ADP
fcis-11237	40	5	reports	report	NOUN
fcis-11237	40	6	3.1	3.1	NUM
fcis-11237	40	7	.	.	PUNCT
fcis-11237	41	1	arima	arima	PROPN
fcis-11237	41	2	model	model	NOUN
fcis-11237	41	3	arima	arima	PROPN
fcis-11237	41	4	model	model	NOUN
fcis-11237	41	5	,	,	PUNCT
fcis-11237	41	6	fully	fully	ADV
fcis-11237	41	7	known	know	VERB
fcis-11237	41	8	as	as	ADP
fcis-11237	41	9	auto	auto	NOUN
fcis-11237	41	10	regressive	regressive	ADJ
fcis-11237	41	11	integrated	integrated	ADJ
fcis-11237	41	12	moving	move	VERB
fcis-11237	41	13	average	average	ADJ
fcis-11237	41	14	model	model	NOUN
fcis-11237	41	15	,	,	PUNCT
fcis-11237	41	16	is	be	AUX
fcis-11237	41	17	a	a	DET
fcis-11237	41	18	time	time	NOUN
fcis-11237	41	19	series	series	NOUN
fcis-11237	41	20	detection	detection	NOUN
fcis-11237	41	21	method	method	NOUN
fcis-11237	41	22	proposed	propose	VERB
fcis-11237	41	23	by	by	ADP
fcis-11237	41	24	box	box	PROPN
fcis-11237	41	25	and	and	CCONJ
fcis-11237	41	26	jenkins	jenkin	NOUN
fcis-11237	41	27	in	in	ADP
fcis-11237	41	28	the	the	DET
fcis-11237	41	29	early	early	ADJ
fcis-11237	41	30	1970s	1970	NOUN
fcis-11237	41	31	[	[	X
fcis-11237	41	32	2	2	NUM
fcis-11237	41	33	]	]	PUNCT
fcis-11237	41	34	.	.	PUNCT
fcis-11237	42	1	the	the	DET
fcis-11237	42	2	arima	arima	PROPN
fcis-11237	42	3	model	model	NOUN
fcis-11237	42	4	is	be	AUX
fcis-11237	42	5	determined	determine	VERB
fcis-11237	42	6	by	by	ADP
fcis-11237	42	7	three	three	NUM
fcis-11237	42	8	important	important	ADJ
fcis-11237	42	9	parameters	parameter	NOUN
fcis-11237	42	10	118	118	NUM
fcis-11237	42	11	(	(	PUNCT
fcis-11237	42	12	p	p	X
fcis-11237	42	13	,	,	PUNCT
fcis-11237	42	14	d	d	NOUN
fcis-11237	42	15	,	,	PUNCT
fcis-11237	42	16	q	q	NOUN
fcis-11237	42	17	)	)	PUNCT
fcis-11237	42	18	,	,	PUNCT
fcis-11237	42	19	where	where	SCONJ
fcis-11237	42	20	p	p	NOUN
fcis-11237	42	21	is	be	AUX
fcis-11237	42	22	the	the	DET
fcis-11237	42	23	autoregressive	autoregressive	ADJ
fcis-11237	42	24	term	term	NOUN
fcis-11237	42	25	,	,	PUNCT
fcis-11237	42	26	d	d	PROPN
fcis-11237	42	27	is	be	AUX
fcis-11237	42	28	the	the	DET
fcis-11237	42	29	number	number	NOUN
fcis-11237	42	30	of	of	ADP
fcis-11237	42	31	difference	difference	NOUN
fcis-11237	42	32	terms	term	NOUN
fcis-11237	42	33	when	when	SCONJ
fcis-11237	42	34	the	the	DET
fcis-11237	42	35	time	time	NOUN
fcis-11237	42	36	series	series	PROPN
fcis-11237	42	37	is	be	AUX
fcis-11237	42	38	stationary	stationary	ADJ
fcis-11237	42	39	,	,	PUNCT
fcis-11237	42	40	and	and	CCONJ
fcis-11237	42	41	q	q	NOUN
fcis-11237	42	42	is	be	AUX
fcis-11237	42	43	the	the	DET
fcis-11237	42	44	number	number	NOUN
fcis-11237	42	45	of	of	ADP
fcis-11237	42	46	moving	move	VERB
fcis-11237	42	47	average	average	ADJ
fcis-11237	42	48	terms	term	NOUN
fcis-11237	42	49	.	.	PUNCT
fcis-11237	43	1	this	this	DET
fcis-11237	43	2	model	model	NOUN
fcis-11237	43	3	is	be	AUX
fcis-11237	43	4	a	a	DET
fcis-11237	43	5	combination	combination	NOUN
fcis-11237	43	6	of	of	ADP
fcis-11237	43	7	autoregressive	autoregressive	ADJ
fcis-11237	43	8	(	(	PUNCT
fcis-11237	43	9	ar	ar	NOUN
fcis-11237	43	10	)	)	PUNCT
fcis-11237	43	11	and	and	CCONJ
fcis-11237	43	12	moving	move	VERB
fcis-11237	43	13	average	average	ADJ
fcis-11237	43	14	(	(	PUNCT
fcis-11237	43	15	ma	ma	PROPN
fcis-11237	43	16	)	)	PUNCT
fcis-11237	43	17	,	,	PUNCT
fcis-11237	43	18	which	which	PRON
fcis-11237	43	19	can	can	AUX
fcis-11237	43	20	transform	transform	VERB
fcis-11237	43	21	non	non	ADJ
fcis-11237	43	22	-	-	ADJ
fcis-11237	43	23	stationary	stationary	ADJ
fcis-11237	43	24	time	time	NOUN
fcis-11237	43	25	series	series	NOUN
fcis-11237	43	26	into	into	ADP
fcis-11237	43	27	stationary	stationary	ADJ
fcis-11237	43	28	time	time	NOUN
fcis-11237	43	29	series	series	NOUN
fcis-11237	43	30	,	,	PUNCT
fcis-11237	43	31	and	and	CCONJ
fcis-11237	43	32	then	then	ADV
fcis-11237	43	33	regresses	regress	VERB
fcis-11237	43	34	the	the	DET
fcis-11237	43	35	lagged	lag	VERB
fcis-11237	43	36	values	value	NOUN
fcis-11237	43	37	of	of	ADP
fcis-11237	43	38	the	the	DET
fcis-11237	43	39	dependent	dependent	ADJ
fcis-11237	43	40	variable	variable	NOUN
fcis-11237	43	41	,	,	PUNCT
fcis-11237	43	42	the	the	DET
fcis-11237	43	43	present	present	ADJ
fcis-11237	43	44	value	value	NOUN
fcis-11237	43	45	of	of	ADP
fcis-11237	43	46	the	the	DET
fcis-11237	43	47	random	random	ADJ
fcis-11237	43	48	error	error	NOUN
fcis-11237	43	49	term	term	NOUN
fcis-11237	43	50	,	,	PUNCT
fcis-11237	43	51	and	and	CCONJ
fcis-11237	43	52	lagged	lag	VERB
fcis-11237	43	53	values	value	NOUN
fcis-11237	43	54	into	into	ADP
fcis-11237	43	55	the	the	DET
fcis-11237	43	56	established	establish	VERB
fcis-11237	43	57	model	model	NOUN
fcis-11237	43	58	.	.	PUNCT
fcis-11237	44	1	the	the	DET
fcis-11237	44	2	arima	arima	PROPN
fcis-11237	44	3	prediction	prediction	NOUN
fcis-11237	44	4	model	model	NOUN
fcis-11237	44	5	can	can	AUX
fcis-11237	44	6	be	be	AUX
fcis-11237	44	7	written	write	VERB
fcis-11237	44	8	as	as	ADP
fcis-11237	44	9	the	the	DET
fcis-11237	44	10	following	follow	VERB
fcis-11237	44	11	formula	formula	NOUN
fcis-11237	44	12	:	:	PUNCT
fcis-11237	44	13	(	(	PUNCT
fcis-11237	44	14	3	3	X
fcis-11237	44	15	)	)	PUNCT
fcis-11237	44	16	where	where	SCONJ
fcis-11237	44	17	is	be	AUX
fcis-11237	44	18	the	the	DET
fcis-11237	44	19	order	order	NOUN
fcis-11237	44	20	of	of	ADP
fcis-11237	44	21	the	the	DET
fcis-11237	44	22	autoregressive	autoregressive	ADJ
fcis-11237	44	23	model	model	NOUN
fcis-11237	44	24	(	(	PUNCT
fcis-11237	44	25	ar	ar	NOUN
fcis-11237	44	26	)	)	PUNCT
fcis-11237	44	27	,	,	PUNCT
fcis-11237	44	28	is	be	AUX
fcis-11237	44	29	the	the	DET
fcis-11237	44	30	order	order	NOUN
fcis-11237	44	31	of	of	ADP
fcis-11237	44	32	the	the	DET
fcis-11237	44	33	moving	move	VERB
fcis-11237	44	34	average	average	ADJ
fcis-11237	44	35	model	model	NOUN
fcis-11237	44	36	(	(	PUNCT
fcis-11237	44	37	am	am	PROPN
fcis-11237	44	38	)	)	PUNCT
fcis-11237	44	39	,	,	PUNCT
fcis-11237	44	40	is	be	AUX
fcis-11237	44	41	the	the	DET
fcis-11237	44	42	error	error	NOUN
fcis-11237	44	43	term	term	NOUN
fcis-11237	44	44	between	between	ADP
fcis-11237	44	45	time	time	NOUN
fcis-11237	44	46	and	and	CCONJ
fcis-11237	44	47	1	1	NUM
fcis-11237	44	48	,	,	PUNCT
fcis-11237	44	49	and	and	CCONJ
fcis-11237	44	50	are	be	AUX
fcis-11237	44	51	the	the	DET
fcis-11237	44	52	fitting	fitting	ADJ
fcis-11237	44	53	coefficients	coefficient	NOUN
fcis-11237	44	54	,	,	PUNCT
fcis-11237	44	55	and	and	CCONJ
fcis-11237	44	56	is	be	AUX
fcis-11237	44	57	a	a	DET
fcis-11237	44	58	constant	constant	ADJ
fcis-11237	44	59	term	term	NOUN
fcis-11237	45	1	[	[	X
fcis-11237	45	2	2	2	NUM
fcis-11237	45	3	]	]	PUNCT
fcis-11237	45	4	.	.	PUNCT
fcis-11237	46	1	after	after	ADP
fcis-11237	46	2	calculation	calculation	NOUN
fcis-11237	46	3	,	,	PUNCT
fcis-11237	46	4	it	it	PRON
fcis-11237	46	5	can	can	AUX
fcis-11237	46	6	be	be	AUX
fcis-11237	46	7	concluded	conclude	VERB
fcis-11237	46	8	that	that	SCONJ
fcis-11237	46	9	p=1	p=1	PROPN
fcis-11237	46	10	,	,	PUNCT
fcis-11237	46	11	q=1	q=1	PROPN
fcis-11237	46	12	,	,	PUNCT
fcis-11237	46	13	and	and	CCONJ
fcis-11237	46	14	d=3	d=3	PROPN
fcis-11237	46	15	in	in	ADP
fcis-11237	46	16	our	our	PRON
fcis-11237	46	17	established	establish	VERB
fcis-11237	46	18	arima	arima	PROPN
fcis-11237	46	19	model	model	NOUN
fcis-11237	46	20	.	.	PUNCT
fcis-11237	47	1	we	we	PRON
fcis-11237	47	2	utilize	utilize	VERB
fcis-11237	47	3	the	the	DET
fcis-11237	47	4	established	establish	VERB
fcis-11237	47	5	arima	arima	NOUN
fcis-11237	47	6	model	model	NOUN
fcis-11237	47	7	for	for	ADP
fcis-11237	47	8	prediction	prediction	NOUN
fcis-11237	47	9	and	and	CCONJ
fcis-11237	47	10	the	the	DET
fcis-11237	47	11	prediction	prediction	NOUN
fcis-11237	47	12	results	result	NOUN
fcis-11237	47	13	are	be	AUX
fcis-11237	47	14	shown	show	VERB
fcis-11237	47	15	in	in	ADP
fcis-11237	47	16	figure	figure	NOUN
fcis-11237	47	17	1	1	NUM
fcis-11237	47	18	.	.	PUNCT
fcis-11237	47	19	figure	figure	NOUN
fcis-11237	47	20	1	1	NUM
fcis-11237	47	21	.	.	PUNCT
fcis-11237	48	1	arima	arima	PROPN
fcis-11237	48	2	model	model	NOUN
fcis-11237	48	3	prediction	prediction	NOUN
fcis-11237	48	4	results	result	VERB
fcis-11237	48	5	3.2	3.2	NUM
fcis-11237	48	6	.	.	PUNCT
fcis-11237	49	1	lstm	lstm	NOUN
fcis-11237	49	2	model	model	NOUN
fcis-11237	49	3	in	in	ADP
fcis-11237	49	4	addition	addition	NOUN
fcis-11237	49	5	to	to	ADP
fcis-11237	49	6	using	use	VERB
fcis-11237	49	7	traditional	traditional	ADJ
fcis-11237	49	8	machine	machine	NOUN
fcis-11237	49	9	learning	learn	VERB
fcis-11237	49	10	methods	method	NOUN
fcis-11237	49	11	to	to	PART
fcis-11237	49	12	predict	predict	VERB
fcis-11237	49	13	the	the	DET
fcis-11237	49	14	number	number	NOUN
fcis-11237	49	15	of	of	ADP
fcis-11237	49	16	reported	report	VERB
fcis-11237	49	17	results	result	NOUN
fcis-11237	49	18	on	on	ADP
fcis-11237	49	19	march	march	PROPN
fcis-11237	49	20	1	1	NUM
fcis-11237	49	21	,	,	PUNCT
fcis-11237	49	22	2023	2023	NUM
fcis-11237	49	23	we	we	PRON
fcis-11237	49	24	also	also	ADV
fcis-11237	49	25	tried	try	VERB
fcis-11237	49	26	to	to	PART
fcis-11237	49	27	use	use	VERB
fcis-11237	49	28	deep	deep	ADJ
fcis-11237	49	29	learning	learning	NOUN
fcis-11237	49	30	methods	method	NOUN
fcis-11237	49	31	.	.	PUNCT
fcis-11237	50	1	in	in	ADP
fcis-11237	50	2	recent	recent	ADJ
fcis-11237	50	3	years	year	NOUN
fcis-11237	50	4	,	,	PUNCT
fcis-11237	50	5	deep	deep	ADJ
fcis-11237	50	6	learning	learning	NOUN
fcis-11237	50	7	algorithms	algorithm	NOUN
fcis-11237	50	8	have	have	AUX
fcis-11237	50	9	been	be	AUX
fcis-11237	50	10	widely	widely	ADV
fcis-11237	50	11	used	use	VERB
fcis-11237	50	12	in	in	ADP
fcis-11237	50	13	the	the	DET
fcis-11237	50	14	field	field	NOUN
fcis-11237	50	15	of	of	ADP
fcis-11237	50	16	time	time	NOUN
fcis-11237	50	17	series	series	PROPN
fcis-11237	50	18	forecasting	forecasting	NOUN
fcis-11237	50	19	models	model	NOUN
fcis-11237	50	20	.	.	PUNCT
fcis-11237	51	1	compared	compare	VERB
fcis-11237	51	2	with	with	ADP
fcis-11237	51	3	machine	machine	NOUN
fcis-11237	51	4	learning	learning	NOUN
fcis-11237	51	5	,	,	PUNCT
fcis-11237	51	6	the	the	DET
fcis-11237	51	7	most	most	ADV
fcis-11237	51	8	important	important	ADJ
fcis-11237	51	9	feature	feature	NOUN
fcis-11237	51	10	of	of	ADP
fcis-11237	51	11	deep	deep	ADJ
fcis-11237	51	12	learning	learning	NOUN
fcis-11237	51	13	models	model	NOUN
fcis-11237	51	14	is	be	AUX
fcis-11237	51	15	that	that	SCONJ
fcis-11237	51	16	they	they	PRON
fcis-11237	51	17	do	do	AUX
fcis-11237	51	18	not	not	PART
fcis-11237	51	19	require	require	VERB
fcis-11237	51	20	the	the	DET
fcis-11237	51	21	use	use	NOUN
fcis-11237	51	22	of	of	ADP
fcis-11237	51	23	a	a	DET
fcis-11237	51	24	priori	priori	ADJ
fcis-11237	51	25	knowledge	knowledge	NOUN
fcis-11237	51	26	to	to	PART
fcis-11237	51	27	construct	construct	VERB
fcis-11237	51	28	feature	feature	NOUN
fcis-11237	51	29	engineering	engineering	NOUN
fcis-11237	51	30	,	,	PUNCT
fcis-11237	51	31	and	and	CCONJ
fcis-11237	51	32	can	can	AUX
fcis-11237	51	33	automatically	automatically	ADV
fcis-11237	51	34	learn	learn	VERB
fcis-11237	51	35	the	the	DET
fcis-11237	51	36	features	feature	NOUN
fcis-11237	51	37	of	of	ADP
fcis-11237	51	38	continuous	continuous	ADJ
fcis-11237	51	39	text	text	NOUN
fcis-11237	51	40	from	from	ADP
fcis-11237	51	41	data	datum	NOUN
fcis-11237	51	42	.	.	PUNCT
fcis-11237	52	1	there	there	PRON
fcis-11237	52	2	are	be	VERB
fcis-11237	52	3	various	various	ADJ
fcis-11237	52	4	types	type	NOUN
fcis-11237	52	5	of	of	ADP
fcis-11237	52	6	deep	deep	ADJ
fcis-11237	52	7	learning	learning	NOUN
fcis-11237	52	8	models	model	NOUN
fcis-11237	52	9	,	,	PUNCT
fcis-11237	52	10	among	among	ADP
fcis-11237	52	11	which	which	PRON
fcis-11237	52	12	rnn	rnn	NOUN
fcis-11237	52	13	(	(	PUNCT
fcis-11237	52	14	recurrent	recurrent	ADJ
fcis-11237	52	15	neural	neural	ADJ
fcis-11237	52	16	network	network	NOUN
fcis-11237	52	17	)	)	PUNCT
fcis-11237	52	18	is	be	AUX
fcis-11237	52	19	more	more	ADV
fcis-11237	52	20	suitable	suitable	ADJ
fcis-11237	52	21	for	for	ADP
fcis-11237	52	22	processing	processing	NOUN
fcis-11237	52	23	time	time	NOUN
fcis-11237	52	24	series	series	NOUN
fcis-11237	52	25	.	.	PUNCT
fcis-11237	53	1	lstm	lstm	NOUN
fcis-11237	53	2	(	(	PUNCT
fcis-11237	53	3	long	long	ADJ
fcis-11237	53	4	short	short	ADJ
fcis-11237	53	5	-	-	PUNCT
fcis-11237	53	6	term	term	NOUN
fcis-11237	53	7	memory	memory	NOUN
fcis-11237	53	8	)	)	PUNCT
fcis-11237	53	9	neural	neural	ADJ
fcis-11237	53	10	network	network	NOUN
fcis-11237	53	11	is	be	AUX
fcis-11237	53	12	a	a	DET
fcis-11237	53	13	variant	variant	NOUN
fcis-11237	53	14	of	of	ADP
fcis-11237	53	15	rnn	rnn	PROPN
fcis-11237	53	16	,	,	PUNCT
fcis-11237	53	17	which	which	PRON
fcis-11237	53	18	improves	improve	VERB
fcis-11237	53	19	the	the	DET
fcis-11237	53	20	performance	performance	NOUN
fcis-11237	53	21	of	of	ADP
fcis-11237	53	22	rnn	rnn	NOUN
fcis-11237	53	23	by	by	ADP
fcis-11237	53	24	memorizing	memorize	VERB
fcis-11237	53	25	the	the	DET
fcis-11237	53	26	long	long	ADJ
fcis-11237	53	27	prior	prior	ADJ
fcis-11237	53	28	information	information	NOUN
fcis-11237	53	29	to	to	PART
fcis-11237	53	30	solve	solve	VERB
fcis-11237	53	31	the	the	DET
fcis-11237	53	32	problem	problem	NOUN
fcis-11237	53	33	of	of	ADP
fcis-11237	53	34	gradient	gradient	ADJ
fcis-11237	53	35	vanishing	vanishing	NOUN
fcis-11237	53	36	and	and	CCONJ
fcis-11237	53	37	explosion	explosion	NOUN
fcis-11237	53	38	.	.	PUNCT
fcis-11237	54	1	in	in	ADP
fcis-11237	54	2	this	this	DET
fcis-11237	54	3	example	example	NOUN
fcis-11237	54	4	,	,	PUNCT
fcis-11237	54	5	we	we	PRON
fcis-11237	54	6	use	use	VERB
fcis-11237	54	7	the	the	DET
fcis-11237	54	8	lstm	lstm	PROPN
fcis-11237	54	9	model	model	NOUN
fcis-11237	54	10	to	to	PART
fcis-11237	54	11	predict	predict	VERB
fcis-11237	54	12	the	the	DET
fcis-11237	54	13	number	number	NOUN
fcis-11237	54	14	of	of	ADP
fcis-11237	54	15	future	future	NOUN
fcis-11237	54	16	reported	report	VERB
fcis-11237	54	17	outcomes	outcome	NOUN
fcis-11237	54	18	.	.	PUNCT
fcis-11237	55	1	lstm	lstm	ADJ
fcis-11237	55	2	,	,	PUNCT
fcis-11237	55	3	or	or	CCONJ
fcis-11237	55	4	long	long	ADJ
fcis-11237	55	5	short	short	ADJ
fcis-11237	55	6	-	-	PUNCT
fcis-11237	55	7	term	term	NOUN
fcis-11237	55	8	memory	memory	NOUN
fcis-11237	55	9	,	,	PUNCT
fcis-11237	55	10	is	be	AUX
fcis-11237	55	11	a	a	DET
fcis-11237	55	12	special	special	ADJ
fcis-11237	55	13	kind	kind	NOUN
fcis-11237	55	14	of	of	ADP
fcis-11237	55	15	recurrent	recurrent	ADJ
fcis-11237	55	16	neural	neural	ADJ
fcis-11237	55	17	network	network	NOUN
fcis-11237	55	18	.	.	PUNCT
fcis-11237	56	1	it	it	PRON
fcis-11237	56	2	introduces	introduce	VERB
fcis-11237	56	3	the	the	DET
fcis-11237	56	4	concepts	concept	NOUN
fcis-11237	56	5	of	of	ADP
fcis-11237	56	6	input	input	NOUN
fcis-11237	56	7	threshold	threshold	NOUN
fcis-11237	56	8	,	,	PUNCT
fcis-11237	56	9	forgetting	forget	VERB
fcis-11237	56	10	gate	gate	NOUN
fcis-11237	56	11	and	and	CCONJ
fcis-11237	56	12	output	output	NOUN
fcis-11237	56	13	gate	gate	NOUN
fcis-11237	56	14	,	,	PUNCT
fcis-11237	56	15	and	and	CCONJ
fcis-11237	56	16	is	be	AUX
fcis-11237	56	17	widely	widely	ADV
fcis-11237	56	18	used	use	VERB
fcis-11237	56	19	in	in	ADP
fcis-11237	56	20	speech	speech	NOUN
fcis-11237	56	21	recognition	recognition	NOUN
fcis-11237	56	22	,	,	PUNCT
fcis-11237	56	23	text	text	NOUN
fcis-11237	56	24	processing	processing	NOUN
fcis-11237	56	25	,	,	PUNCT
fcis-11237	56	26	etc	etc	X
fcis-11237	56	27	.	.	X
fcis-11237	57	1	the	the	DET
fcis-11237	57	2	structure	structure	NOUN
fcis-11237	57	3	of	of	ADP
fcis-11237	57	4	lstm	lstm	PROPN
fcis-11237	57	5	neural	neural	ADJ
fcis-11237	57	6	network	network	NOUN
fcis-11237	57	7	is	be	AUX
fcis-11237	57	8	shown	show	VERB
fcis-11237	57	9	in	in	ADP
fcis-11237	57	10	figure	figure	NOUN
fcis-11237	57	11	2	2	NUM
fcis-11237	57	12	.	.	PUNCT
fcis-11237	57	13	figure	figure	NOUN
fcis-11237	57	14	2	2	NUM
fcis-11237	57	15	.	.	PUNCT
fcis-11237	57	16	decision	decision	NOUN
fcis-11237	57	17	tree	tree	NOUN
fcis-11237	57	18	basic	basic	ADJ
fcis-11237	57	19	structure	structure	NOUN
fcis-11237	57	20	the	the	DET
fcis-11237	57	21	lstm	lstm	NOUN
fcis-11237	57	22	controls	control	VERB
fcis-11237	57	23	through	through	ADP
fcis-11237	57	24	an	an	DET
fcis-11237	57	25	input	input	NOUN
fcis-11237	57	26	gate	gate	NOUN
fcis-11237	57	27	and	and	CCONJ
fcis-11237	57	28	a	a	DET
fcis-11237	57	29	forgetting	forget	VERB
fcis-11237	57	30	gate	gate	NOUN
fcis-11237	57	31	.	.	PUNCT
fcis-11237	58	1	the	the	DET
fcis-11237	58	2	forgetting	forget	VERB
fcis-11237	58	3	gate	gate	NOUN
fcis-11237	58	4	ft	ft	NOUN
fcis-11237	58	5	controls	control	VERB
fcis-11237	58	6	the	the	DET
fcis-11237	58	7	ratio	ratio	NOUN
fcis-11237	58	8	of	of	ADP
fcis-11237	58	9	the	the	DET
fcis-11237	58	10	previous	previous	ADJ
fcis-11237	58	11	state	state	NOUN
fcis-11237	58	12	to	to	ADP
fcis-11237	58	13	the	the	DET
fcis-11237	58	14	state	state	NOUN
fcis-11237	58	15	of	of	ADP
fcis-11237	58	16	the	the	DET
fcis-11237	58	17	cell	cell	NOUN
fcis-11237	58	18	at	at	ADP
fcis-11237	58	19	the	the	DET
fcis-11237	58	20	current	current	ADJ
fcis-11237	58	21	moment	moment	NOUN
fcis-11237	58	22	.	.	PUNCT
fcis-11237	59	1	thus	thus	ADV
fcis-11237	59	2	,	,	PUNCT
fcis-11237	59	3	the	the	DET
fcis-11237	59	4	lstm	lstm	NOUN
fcis-11237	59	5	can	can	AUX
fcis-11237	59	6	retain	retain	VERB
fcis-11237	59	7	a	a	DET
fcis-11237	59	8	large	large	ADJ
fcis-11237	59	9	amount	amount	NOUN
fcis-11237	59	10	of	of	ADP
fcis-11237	59	11	past	past	ADJ
fcis-11237	59	12	information	information	NOUN
fcis-11237	59	13	through	through	ADP
fcis-11237	59	14	the	the	DET
fcis-11237	59	15	forgetting	forget	VERB
fcis-11237	59	16	gate	gate	NOUN
fcis-11237	59	17	.	.	PUNCT
fcis-11237	60	1	the	the	DET
fcis-11237	60	2	input	input	PROPN
fcis-11237	60	3	gate	gate	NOUN
fcis-11237	60	4	controls	control	VERB
fcis-11237	60	5	the	the	DET
fcis-11237	60	6	ratio	ratio	NOUN
fcis-11237	60	7	of	of	ADP
fcis-11237	60	8	the	the	DET
fcis-11237	60	9	current	current	ADJ
fcis-11237	60	10	moment	moment	NOUN
fcis-11237	60	11	's	's	PART
fcis-11237	60	12	input	input	NOUN
fcis-11237	60	13	to	to	ADP
fcis-11237	60	14	the	the	DET
fcis-11237	60	15	current	current	ADJ
fcis-11237	60	16	moment	moment	NOUN
fcis-11237	60	17	's	's	PART
fcis-11237	60	18	cell	cell	NOUN
fcis-11237	60	19	state	state	NOUN
fcis-11237	60	20	.	.	PUNCT
fcis-11237	61	1	this	this	PRON
fcis-11237	61	2	helps	help	VERB
fcis-11237	61	3	to	to	PART
fcis-11237	61	4	ensure	ensure	VERB
fcis-11237	61	5	that	that	SCONJ
fcis-11237	61	6	the	the	DET
fcis-11237	61	7	content	content	NOUN
fcis-11237	61	8	of	of	ADP
fcis-11237	61	9	valid	valid	ADJ
fcis-11237	61	10	information	information	NOUN
fcis-11237	61	11	enters	enter	VERB
fcis-11237	61	12	the	the	DET
fcis-11237	61	13	memory	memory	NOUN
fcis-11237	61	14	.	.	PUNCT
fcis-11237	62	1	it	it	PRON
fcis-11237	62	2	also	also	ADV
fcis-11237	62	3	prevents	prevent	VERB
fcis-11237	62	4	some	some	DET
fcis-11237	62	5	useless	useless	ADJ
fcis-11237	62	6	information	information	NOUN
fcis-11237	62	7	from	from	ADP
fcis-11237	62	8	being	be	AUX
fcis-11237	62	9	saved	save	VERB
fcis-11237	62	10	again	again	ADV
fcis-11237	62	11	[	[	X
fcis-11237	62	12	3	3	NUM
fcis-11237	62	13	]	]	PUNCT
fcis-11237	62	14	.	.	PUNCT
fcis-11237	63	1	the	the	DET
fcis-11237	63	2	activation	activation	NOUN
fcis-11237	63	3	function	function	NOUN
fcis-11237	63	4	of	of	ADP
fcis-11237	63	5	the	the	DET
fcis-11237	63	6	lstm	lstm	NOUN
fcis-11237	63	7	uses	use	VERB
fcis-11237	63	8	a	a	DET
fcis-11237	63	9	sigmoid	sigmoid	NOUN
fcis-11237	63	10	function	function	NOUN
fcis-11237	63	11	.	.	PUNCT
fcis-11237	64	1	the	the	DET
fcis-11237	64	2	sigmoid	sigmoid	NOUN
fcis-11237	64	3	function	function	NOUN
fcis-11237	64	4	is	be	AUX
fcis-11237	64	5	a	a	DET
fcis-11237	64	6	smooth	smooth	ADJ
fcis-11237	64	7	step	step	NOUN
fcis-11237	64	8	function	function	NOUN
fcis-11237	64	9	that	that	PRON
fcis-11237	64	10	is	be	AUX
fcis-11237	64	11	derivable	derivable	ADJ
fcis-11237	64	12	and	and	CCONJ
fcis-11237	64	13	therefore	therefore	ADV
fcis-11237	64	14	mitigates	mitigate	VERB
fcis-11237	64	15	the	the	DET
fcis-11237	64	16	problem	problem	NOUN
fcis-11237	64	17	of	of	ADP
fcis-11237	64	18	vanishing	vanish	VERB
fcis-11237	64	19	gradients	gradient	NOUN
fcis-11237	64	20	and	and	CCONJ
fcis-11237	64	21	can	can	AUX
fcis-11237	64	22	nonlinearly	nonlinearly	ADV
fcis-11237	64	23	compress	compress	VERB
fcis-11237	64	24	values	value	NOUN
fcis-11237	64	25	between	between	ADP
fcis-11237	64	26	0	0	NUM
fcis-11237	64	27	and	and	CCONJ
fcis-11237	64	28	1	1	NUM
fcis-11237	64	29	to	to	PART
fcis-11237	64	30	indicate	indicate	VERB
fcis-11237	64	31	how	how	SCONJ
fcis-11237	64	32	much	much	ADJ
fcis-11237	64	33	information	information	NOUN
fcis-11237	64	34	is	be	AUX
fcis-11237	64	35	passing	pass	VERB
fcis-11237	64	36	through	through	ADP
fcis-11237	64	37	the	the	DET
fcis-11237	64	38	sigmoid	sigmoid	NOUN
fcis-11237	64	39	layer	layer	NOUN
fcis-11237	64	40	.	.	PUNCT
fcis-11237	65	1	(	(	PUNCT
fcis-11237	65	2	4	4	NUM
fcis-11237	65	3	)	)	PUNCT
fcis-11237	65	4	(	(	PUNCT
fcis-11237	65	5	5	5	NUM
fcis-11237	65	6	)	)	PUNCT
fcis-11237	65	7	(	(	PUNCT
fcis-11237	65	8	6	6	NUM
fcis-11237	65	9	)	)	PUNCT
fcis-11237	65	10	(	(	PUNCT
fcis-11237	65	11	7	7	NUM
fcis-11237	65	12	)	)	PUNCT
fcis-11237	65	13	(	(	PUNCT
fcis-11237	65	14	8)	8)	NUM
fcis-11237	65	15	we	we	PRON
fcis-11237	65	16	use	use	VERB
fcis-11237	65	17	the	the	DET
fcis-11237	65	18	established	establish	VERB
fcis-11237	65	19	lstm	lstm	NOUN
fcis-11237	65	20	model	model	NOUN
fcis-11237	65	21	for	for	ADP
fcis-11237	65	22	prediction	prediction	NOUN
fcis-11237	65	23	and	and	CCONJ
fcis-11237	65	24	the	the	DET
fcis-11237	65	25	prediction	prediction	NOUN
fcis-11237	65	26	results	result	NOUN
fcis-11237	65	27	are	be	AUX
fcis-11237	65	28	shown	show	VERB
fcis-11237	65	29	in	in	ADP
fcis-11237	65	30	figure	figure	NOUN
fcis-11237	65	31	3	3	NUM
fcis-11237	65	32	.	.	PUNCT
fcis-11237	65	33	figure	figure	NOUN
fcis-11237	65	34	3	3	NUM
fcis-11237	65	35	.	.	PUNCT
fcis-11237	65	36	lstm	lstm	PROPN
fcis-11237	65	37	model	model	NOUN
fcis-11237	65	38	prediction	prediction	NOUN
fcis-11237	65	39	results	result	VERB
fcis-11237	65	40	3.3	3.3	NUM
fcis-11237	65	41	.	.	PUNCT
fcis-11237	66	1	model	model	NOUN
fcis-11237	66	2	comparison	comparison	NOUN
fcis-11237	66	3	analysis	analysis	NOUN
fcis-11237	66	4	and	and	CCONJ
fcis-11237	66	5	questions	question	NOUN
fcis-11237	66	6	and	and	CCONJ
fcis-11237	66	7	answers	answer	NOUN
fcis-11237	66	8	by	by	ADP
fcis-11237	66	9	comparing	compare	VERB
fcis-11237	66	10	the	the	DET
fcis-11237	66	11	training	training	NOUN
fcis-11237	66	12	and	and	CCONJ
fcis-11237	66	13	validation	validation	NOUN
fcis-11237	66	14	accuracies	accuracy	NOUN
fcis-11237	66	15	of	of	ADP
fcis-11237	66	16	arima	arima	PROPN
fcis-11237	66	17	model	model	NOUN
fcis-11237	66	18	and	and	CCONJ
fcis-11237	66	19	lstm	lstm	PROPN
fcis-11237	66	20	model	model	NOUN
fcis-11237	66	21	,	,	PUNCT
fcis-11237	66	22	we	we	PRON
fcis-11237	66	23	understand	understand	VERB
fcis-11237	66	24	that	that	SCONJ
fcis-11237	66	25	lstm	lstm	PROPN
fcis-11237	66	26	model	model	NOUN
fcis-11237	66	27	gives	give	VERB
fcis-11237	66	28	better	well	ADJ
fcis-11237	66	29	prediction	prediction	NOUN
fcis-11237	66	30	results	result	NOUN
fcis-11237	66	31	.	.	PUNCT
fcis-11237	67	1	the	the	DET
fcis-11237	67	2	model	model	NOUN
fcis-11237	67	3	performance	performance	NOUN
fcis-11237	67	4	evaluation	evaluation	NOUN
fcis-11237	67	5	table	table	NOUN
fcis-11237	67	6	is	be	AUX
fcis-11237	67	7	shown	show	VERB
fcis-11237	67	8	in	in	ADP
fcis-11237	67	9	table	table	NOUN
fcis-11237	67	10	1	1	NUM
fcis-11237	67	11	.	.	PUNCT
fcis-11237	67	12	table	table	NOUN
fcis-11237	67	13	1	1	NUM
fcis-11237	67	14	.	.	PUNCT
fcis-11237	67	15	model	model	NOUN
fcis-11237	67	16	performance	performance	NOUN
fcis-11237	67	17	evaluation	evaluation	NOUN
fcis-11237	67	18	table	table	NOUN
fcis-11237	67	19	model	model	PROPN
fcis-11237	67	20	mse	mse	PROPN
fcis-11237	67	21	mape	mape	PROPN
fcis-11237	67	22	arima	arima	PROPN
fcis-11237	67	23	0.163	0.163	NUM
fcis-11237	67	24	10.332	10.332	NUM
fcis-11237	67	25	lstm	lstm	NOUN
fcis-11237	67	26	0.051	0.051	NUM
fcis-11237	67	27	5.643	5.643	NUM
fcis-11237	67	28	119	119	NUM
fcis-11237	67	29	4	4	NUM
fcis-11237	67	30	.	.	PUNCT
fcis-11237	67	31	wordle	wordle	NOUN
fcis-11237	67	32	outcome	outcome	NOUN
fcis-11237	67	33	distribution	distribution	NOUN
fcis-11237	67	34	prediction	prediction	NOUN
fcis-11237	67	35	model	model	NOUN
fcis-11237	67	36	4.1	4.1	NUM
fcis-11237	67	37	.	.	PUNCT
fcis-11237	68	1	predictive	predictive	ADJ
fcis-11237	68	2	theory	theory	NOUN
fcis-11237	68	3	according	accord	VERB
fcis-11237	68	4	to	to	ADP
fcis-11237	68	5	the	the	DET
fcis-11237	68	6	requirements	requirement	NOUN
fcis-11237	68	7	of	of	ADP
fcis-11237	68	8	the	the	DET
fcis-11237	68	9	topic	topic	NOUN
fcis-11237	68	10	,	,	PUNCT
fcis-11237	68	11	we	we	PRON
fcis-11237	68	12	need	need	VERB
fcis-11237	68	13	to	to	PART
fcis-11237	68	14	build	build	VERB
fcis-11237	68	15	a	a	DET
fcis-11237	68	16	model	model	NOUN
fcis-11237	68	17	to	to	PART
fcis-11237	68	18	predict	predict	VERB
fcis-11237	68	19	the	the	DET
fcis-11237	68	20	distribution	distribution	NOUN
fcis-11237	68	21	of	of	ADP
fcis-11237	68	22	reported	report	VERB
fcis-11237	68	23	results	result	NOUN
fcis-11237	68	24	corresponding	correspond	VERB
fcis-11237	68	25	to	to	ADP
fcis-11237	68	26	a	a	DET
fcis-11237	68	27	word	word	NOUN
fcis-11237	68	28	on	on	ADP
fcis-11237	68	29	a	a	DET
fcis-11237	68	30	certain	certain	ADJ
fcis-11237	68	31	date	date	NOUN
fcis-11237	68	32	in	in	ADP
fcis-11237	68	33	the	the	DET
fcis-11237	68	34	future	future	NOUN
fcis-11237	68	35	.	.	PUNCT
fcis-11237	69	1	in	in	ADP
fcis-11237	69	2	other	other	ADJ
fcis-11237	69	3	words	word	NOUN
fcis-11237	69	4	,	,	PUNCT
fcis-11237	69	5	a	a	DET
fcis-11237	69	6	multiple	multiple	ADJ
fcis-11237	69	7	-	-	PUNCT
fcis-11237	69	8	input	input	NOUN
fcis-11237	69	9	multiple	multiple	ADJ
fcis-11237	69	10	-	-	PUNCT
fcis-11237	69	11	output	output	NOUN
fcis-11237	69	12	prediction	prediction	NOUN
fcis-11237	69	13	model	model	NOUN
fcis-11237	69	14	is	be	AUX
fcis-11237	69	15	built	build	VERB
fcis-11237	69	16	with	with	ADP
fcis-11237	69	17	the	the	DET
fcis-11237	69	18	relevant	relevant	ADJ
fcis-11237	69	19	attributes	attribute	NOUN
fcis-11237	69	20	of	of	ADP
fcis-11237	69	21	the	the	DET
fcis-11237	69	22	word	word	NOUN
fcis-11237	69	23	and	and	CCONJ
fcis-11237	69	24	the	the	DET
fcis-11237	69	25	date	date	NOUN
fcis-11237	69	26	of	of	ADP
fcis-11237	69	27	occurrence	occurrence	NOUN
fcis-11237	69	28	as	as	ADP
fcis-11237	69	29	input	input	NOUN
fcis-11237	69	30	variables	variable	NOUN
fcis-11237	69	31	,	,	PUNCT
fcis-11237	69	32	and	and	CCONJ
fcis-11237	69	33	the	the	DET
fcis-11237	69	34	relevant	relevant	ADJ
fcis-11237	69	35	percentages	percentage	NOUN
fcis-11237	69	36	of	of	ADP
fcis-11237	69	37	answers	answer	NOUN
fcis-11237	69	38	(	(	PUNCT
fcis-11237	69	39	1	1	NUM
fcis-11237	69	40	,	,	PUNCT
fcis-11237	69	41	2	2	NUM
fcis-11237	69	42	,	,	PUNCT
fcis-11237	69	43	3	3	NUM
fcis-11237	69	44	,	,	PUNCT
fcis-11237	69	45	4	4	NUM
fcis-11237	69	46	,	,	PUNCT
fcis-11237	69	47	5	5	NUM
fcis-11237	69	48	,	,	PUNCT
fcis-11237	69	49	6	6	NUM
fcis-11237	69	50	,	,	PUNCT
fcis-11237	69	51	x	x	NOUN
fcis-11237	69	52	)	)	PUNCT
fcis-11237	69	53	as	as	ADP
fcis-11237	69	54	output	output	NOUN
fcis-11237	69	55	variables	variable	NOUN
fcis-11237	69	56	.	.	PUNCT
fcis-11237	70	1	(	(	PUNCT
fcis-11237	70	2	1	1	NUM
fcis-11237	70	3	,	,	PUNCT
fcis-11237	70	4	2	2	NUM
fcis-11237	70	5	,	,	PUNCT
fcis-11237	70	6	3	3	NUM
fcis-11237	70	7	,	,	PUNCT
fcis-11237	70	8	4	4	NUM
fcis-11237	70	9	,	,	PUNCT
fcis-11237	70	10	5	5	NUM
fcis-11237	70	11	,	,	PUNCT
fcis-11237	70	12	6	6	NUM
fcis-11237	70	13	,	,	PUNCT
fcis-11237	70	14	x	x	NOUN
fcis-11237	70	15	)	)	PUNCT
fcis-11237	70	16	as	as	ADP
fcis-11237	70	17	output	output	NOUN
fcis-11237	70	18	variables	variable	NOUN
fcis-11237	70	19	.	.	PUNCT
fcis-11237	71	1	therefore	therefore	ADV
fcis-11237	71	2	,	,	PUNCT
fcis-11237	71	3	we	we	PRON
fcis-11237	71	4	try	try	VERB
fcis-11237	71	5	to	to	PART
fcis-11237	71	6	build	build	VERB
fcis-11237	71	7	relevant	relevant	ADJ
fcis-11237	71	8	deep	deep	ADJ
fcis-11237	71	9	learning	learning	NOUN
fcis-11237	71	10	models	model	NOUN
fcis-11237	71	11	.	.	PUNCT
fcis-11237	72	1	let	let	VERB
fcis-11237	72	2	the	the	DET
fcis-11237	72	3	independent	independent	ADJ
fcis-11237	72	4	variable	variable	NOUN
fcis-11237	72	5	be	be	AUX
fcis-11237	72	6	time	time	NOUN
fcis-11237	72	7	d	d	NOUN
fcis-11237	72	8	,	,	PUNCT
fcis-11237	72	9	the	the	DET
fcis-11237	72	10	sequence	sequence	NOUN
fcis-11237	72	11	of	of	ADP
fcis-11237	72	12	independent	independent	ADJ
fcis-11237	72	13	variable	variable	ADJ
fcis-11237	72	14	word	word	NOUN
fcis-11237	72	15	attributes	attribute	VERB
fcis-11237	72	16	,	,	PUNCT
fcis-11237	72	17	,	,	PUNCT
fcis-11237	72	18	,	,	PUNCT
fcis-11237	72	19	…	…	PUNCT
fcis-11237	72	20	,	,	PUNCT
fcis-11237	72	21	,	,	PUNCT
fcis-11237	72	22	and	and	CCONJ
fcis-11237	72	23	the	the	DET
fcis-11237	72	24	sequence	sequence	NOUN
fcis-11237	72	25	of	of	ADP
fcis-11237	72	26	percentage	percentage	NOUN
fcis-11237	72	27	distribution	distribution	NOUN
fcis-11237	72	28	of	of	ADP
fcis-11237	72	29	output	output	NOUN
fcis-11237	72	30	report	report	NOUN
fcis-11237	72	31	results	result	NOUN
fcis-11237	72	32	,	,	PUNCT
fcis-11237	72	33	,	,	PUNCT
fcis-11237	72	34	,	,	PUNCT
fcis-11237	72	35	…	…	PUNCT
fcis-11237	72	36	,	,	PUNCT
fcis-11237	72	37	.	.	PUNCT
fcis-11237	73	1	its	its	PRON
fcis-11237	73	2	related	related	ADJ
fcis-11237	73	3	expression	expression	NOUN
fcis-11237	73	4	is	be	AUX
fcis-11237	73	5	shown	show	VERB
fcis-11237	73	6	in	in	ADP
fcis-11237	73	7	the	the	DET
fcis-11237	73	8	following	follow	VERB
fcis-11237	73	9	equation	equation	NOUN
fcis-11237	73	10	.	.	PUNCT
fcis-11237	74	1	(	(	PUNCT
fcis-11237	74	2	9	9	X
fcis-11237	74	3	)	)	PUNCT
fcis-11237	74	4	4.2	4.2	NUM
fcis-11237	74	5	.	.	PUNCT
fcis-11237	75	1	forecasting	forecasting	NOUN
fcis-11237	75	2	methods	method	NOUN
fcis-11237	75	3	first	first	ADV
fcis-11237	75	4	,	,	PUNCT
fcis-11237	75	5	we	we	PRON
fcis-11237	75	6	need	need	VERB
fcis-11237	75	7	to	to	PART
fcis-11237	75	8	determine	determine	VERB
fcis-11237	75	9	the	the	DET
fcis-11237	75	10	relevant	relevant	ADJ
fcis-11237	75	11	attributes	attribute	NOUN
fcis-11237	75	12	of	of	ADP
fcis-11237	75	13	the	the	DET
fcis-11237	75	14	words	word	NOUN
fcis-11237	75	15	.	.	PUNCT
fcis-11237	76	1	still	still	ADV
fcis-11237	76	2	based	base	VERB
fcis-11237	76	3	on	on	ADP
fcis-11237	76	4	the	the	DET
fcis-11237	76	5	word	word	NOUN
fcis-11237	76	6	attribute	attribute	NOUN
fcis-11237	76	7	labels	label	NOUN
fcis-11237	76	8	used	use	VERB
fcis-11237	76	9	in	in	ADP
fcis-11237	76	10	the	the	DET
fcis-11237	76	11	first	first	ADJ
fcis-11237	76	12	question	question	NOUN
fcis-11237	76	13	,	,	PUNCT
fcis-11237	76	14	each	each	DET
fcis-11237	76	15	word	word	NOUN
fcis-11237	76	16	attribute	attribute	NOUN
fcis-11237	76	17	is	be	AUX
fcis-11237	76	18	vectorized	vectorize	VERB
fcis-11237	76	19	in	in	ADP
fcis-11237	76	20	the	the	DET
fcis-11237	76	21	same	same	ADJ
fcis-11237	76	22	way	way	NOUN
fcis-11237	76	23	.	.	PUNCT
fcis-11237	77	1	as	as	SCONJ
fcis-11237	77	2	traditionally	traditionally	ADV
fcis-11237	77	3	understood	understand	VERB
fcis-11237	77	4	,	,	PUNCT
fcis-11237	77	5	a	a	DET
fcis-11237	77	6	player	player	NOUN
fcis-11237	77	7	's	's	PART
fcis-11237	77	8	problem	problem	NOUN
fcis-11237	77	9	-	-	PUNCT
fcis-11237	77	10	solving	solve	VERB
fcis-11237	77	11	performance	performance	NOUN
fcis-11237	77	12	should	should	AUX
fcis-11237	77	13	only	only	ADV
fcis-11237	77	14	be	be	AUX
fcis-11237	77	15	related	relate	VERB
fcis-11237	77	16	to	to	ADP
fcis-11237	77	17	the	the	DET
fcis-11237	77	18	word	word	NOUN
fcis-11237	77	19	difficulty	difficulty	NOUN
fcis-11237	77	20	of	of	ADP
fcis-11237	77	21	the	the	DET
fcis-11237	77	22	day	day	NOUN
fcis-11237	77	23	.	.	PUNCT
fcis-11237	78	1	each	each	DET
fcis-11237	78	2	day	day	NOUN
fcis-11237	78	3	's	's	PART
fcis-11237	78	4	word	word	NOUN
fcis-11237	78	5	difficulty	difficulty	NOUN
fcis-11237	78	6	should	should	AUX
fcis-11237	78	7	be	be	AUX
fcis-11237	78	8	independent	independent	ADJ
fcis-11237	78	9	of	of	ADP
fcis-11237	78	10	time	time	NOUN
fcis-11237	78	11	.	.	PUNCT
fcis-11237	79	1	therefore	therefore	ADV
fcis-11237	79	2	,	,	PUNCT
fcis-11237	79	3	we	we	PRON
fcis-11237	79	4	try	try	VERB
fcis-11237	79	5	to	to	PART
fcis-11237	79	6	use	use	VERB
fcis-11237	79	7	only	only	ADJ
fcis-11237	79	8	word	word	NOUN
fcis-11237	79	9	attributes	attribute	VERB
fcis-11237	79	10	as	as	ADP
fcis-11237	79	11	dependent	dependent	ADJ
fcis-11237	79	12	variables	variable	NOUN
fcis-11237	79	13	and	and	CCONJ
fcis-11237	79	14	build	build	VERB
fcis-11237	79	15	the	the	DET
fcis-11237	79	16	model	model	NOUN
fcis-11237	79	17	using	use	VERB
fcis-11237	79	18	bp	bp	PROPN
fcis-11237	79	19	neural	neural	ADJ
fcis-11237	79	20	network	network	NOUN
fcis-11237	79	21	.	.	PUNCT
fcis-11237	80	1	after	after	ADP
fcis-11237	80	2	testing	testing	NOUN
fcis-11237	80	3	,	,	PUNCT
fcis-11237	80	4	we	we	PRON
fcis-11237	80	5	found	find	VERB
fcis-11237	80	6	that	that	SCONJ
fcis-11237	80	7	the	the	DET
fcis-11237	80	8	accuracy	accuracy	NOUN
fcis-11237	80	9	of	of	ADP
fcis-11237	80	10	the	the	DET
fcis-11237	80	11	model	model	NOUN
fcis-11237	80	12	was	be	AUX
fcis-11237	80	13	low	low	ADJ
fcis-11237	80	14	.	.	PUNCT
fcis-11237	81	1	then	then	ADV
fcis-11237	81	2	we	we	PRON
fcis-11237	81	3	considered	consider	VERB
fcis-11237	81	4	that	that	SCONJ
fcis-11237	81	5	there	there	PRON
fcis-11237	81	6	are	be	VERB
fcis-11237	81	7	some	some	DET
fcis-11237	81	8	loyal	loyal	ADJ
fcis-11237	81	9	players	player	NOUN
fcis-11237	81	10	in	in	ADP
fcis-11237	81	11	wordle	wordle	NOUN
fcis-11237	81	12	game	game	NOUN
fcis-11237	81	13	.	.	PUNCT
fcis-11237	82	1	they	they	PRON
fcis-11237	82	2	play	play	VERB
fcis-11237	82	3	the	the	DET
fcis-11237	82	4	game	game	NOUN
fcis-11237	82	5	every	every	DET
fcis-11237	82	6	day	day	NOUN
fcis-11237	82	7	.	.	PUNCT
fcis-11237	83	1	in	in	ADP
fcis-11237	83	2	the	the	DET
fcis-11237	83	3	day	day	NOUN
fcis-11237	83	4	-	-	PUNCT
fcis-11237	83	5	today	today	NOUN
fcis-11237	83	6	training	training	NOUN
fcis-11237	83	7	,	,	PUNCT
fcis-11237	83	8	their	their	PRON
fcis-11237	83	9	proficiency	proficiency	NOUN
fcis-11237	83	10	will	will	AUX
fcis-11237	83	11	get	get	VERB
fcis-11237	83	12	higher	high	ADJ
fcis-11237	83	13	and	and	CCONJ
fcis-11237	83	14	higher	high	ADJ
fcis-11237	83	15	,	,	PUNCT
fcis-11237	83	16	so	so	SCONJ
fcis-11237	83	17	it	it	PRON
fcis-11237	83	18	will	will	AUX
fcis-11237	83	19	gradually	gradually	ADV
fcis-11237	83	20	improve	improve	VERB
fcis-11237	83	21	the	the	DET
fcis-11237	83	22	overall	overall	ADJ
fcis-11237	83	23	completion	completion	NOUN
fcis-11237	83	24	of	of	ADP
fcis-11237	83	25	the	the	DET
fcis-11237	83	26	game	game	NOUN
fcis-11237	83	27	over	over	ADP
fcis-11237	83	28	time	time	NOUN
fcis-11237	83	29	.	.	PUNCT
fcis-11237	84	1	in	in	ADP
fcis-11237	84	2	order	order	NOUN
fcis-11237	84	3	to	to	PART
fcis-11237	84	4	prove	prove	VERB
fcis-11237	84	5	that	that	SCONJ
fcis-11237	84	6	the	the	DET
fcis-11237	84	7	answer	answer	NOUN
fcis-11237	84	8	situation	situation	NOUN
fcis-11237	84	9	is	be	AUX
fcis-11237	84	10	related	relate	VERB
fcis-11237	84	11	to	to	ADP
fcis-11237	84	12	time	time	NOUN
fcis-11237	84	13	,	,	PUNCT
fcis-11237	84	14	we	we	PRON
fcis-11237	84	15	conducted	conduct	VERB
fcis-11237	84	16	a	a	DET
fcis-11237	84	17	normalization	normalization	NOUN
fcis-11237	84	18	test	test	NOUN
fcis-11237	84	19	on	on	ADP
fcis-11237	84	20	the	the	DET
fcis-11237	84	21	distribution	distribution	NOUN
fcis-11237	84	22	data	datum	NOUN
fcis-11237	84	23	of	of	ADP
fcis-11237	84	24	the	the	DET
fcis-11237	84	25	seven	seven	NUM
fcis-11237	84	26	answer	answer	NOUN
fcis-11237	84	27	results	result	NOUN
fcis-11237	84	28	.	.	PUNCT
fcis-11237	85	1	after	after	ADP
fcis-11237	85	2	the	the	DET
fcis-11237	85	3	test	test	NOUN
fcis-11237	85	4	,	,	PUNCT
fcis-11237	85	5	it	it	PRON
fcis-11237	85	6	was	be	AUX
fcis-11237	85	7	found	find	VERB
fcis-11237	85	8	that	that	SCONJ
fcis-11237	85	9	the	the	DET
fcis-11237	85	10	data	datum	NOUN
fcis-11237	85	11	of	of	ADP
fcis-11237	85	12	the	the	DET
fcis-11237	85	13	results	result	NOUN
fcis-11237	85	14	of	of	ADP
fcis-11237	85	15	each	each	DET
fcis-11237	85	16	trial	trial	NOUN
fcis-11237	85	17	did	do	AUX
fcis-11237	85	18	not	not	PART
fcis-11237	85	19	satisfy	satisfy	VERB
fcis-11237	85	20	the	the	DET
fcis-11237	85	21	normal	normal	ADJ
fcis-11237	85	22	distribution	distribution	NOUN
fcis-11237	85	23	,	,	PUNCT
fcis-11237	85	24	which	which	PRON
fcis-11237	85	25	proved	prove	VERB
fcis-11237	85	26	that	that	SCONJ
fcis-11237	85	27	the	the	DET
fcis-11237	85	28	original	original	ADJ
fcis-11237	85	29	data	datum	NOUN
fcis-11237	85	30	was	be	AUX
fcis-11237	85	31	related	relate	VERB
fcis-11237	85	32	to	to	ADP
fcis-11237	85	33	time	time	NOUN
fcis-11237	85	34	.	.	PUNCT
fcis-11237	86	1	in	in	ADP
fcis-11237	86	2	order	order	NOUN
fcis-11237	86	3	to	to	PART
fcis-11237	86	4	introduce	introduce	VERB
fcis-11237	86	5	the	the	DET
fcis-11237	86	6	time	time	NOUN
fcis-11237	86	7	variable	variable	NOUN
fcis-11237	86	8	,	,	PUNCT
fcis-11237	86	9	we	we	PRON
fcis-11237	86	10	introduced	introduce	VERB
fcis-11237	86	11	the	the	DET
fcis-11237	86	12	lstm	lstm	ADJ
fcis-11237	86	13	neural	neural	ADJ
fcis-11237	86	14	network	network	NOUN
fcis-11237	86	15	into	into	ADP
fcis-11237	86	16	the	the	DET
fcis-11237	86	17	original	original	ADJ
fcis-11237	86	18	bp	bp	PROPN
fcis-11237	86	19	neural	neural	ADJ
fcis-11237	86	20	network	network	NOUN
fcis-11237	86	21	and	and	CCONJ
fcis-11237	86	22	constructed	construct	VERB
fcis-11237	86	23	a	a	DET
fcis-11237	86	24	new	new	ADJ
fcis-11237	86	25	network	network	NOUN
fcis-11237	86	26	structure	structure	NOUN
fcis-11237	86	27	.	.	PUNCT
fcis-11237	87	1	the	the	DET
fcis-11237	87	2	specific	specific	ADJ
fcis-11237	87	3	structure	structure	NOUN
fcis-11237	87	4	of	of	ADP
fcis-11237	87	5	the	the	DET
fcis-11237	87	6	bp	bp	PROPN
fcis-11237	87	7	-	-	PUNCT
fcis-11237	87	8	lstm	lstm	ADJ
fcis-11237	87	9	-	-	PUNCT
fcis-11237	87	10	parallel	parallel	ADJ
fcis-11237	87	11	model	model	NOUN
fcis-11237	87	12	is	be	AUX
fcis-11237	87	13	shown	show	VERB
fcis-11237	87	14	in	in	ADP
fcis-11237	87	15	figure	figure	NOUN
fcis-11237	87	16	4	4	NUM
fcis-11237	87	17	.	.	PUNCT
fcis-11237	87	18	figure	figure	VERB
fcis-11237	87	19	4	4	NUM
fcis-11237	87	20	.	.	PUNCT
fcis-11237	88	1	the	the	DET
fcis-11237	88	2	specific	specific	ADJ
fcis-11237	88	3	structure	structure	NOUN
fcis-11237	88	4	of	of	ADP
fcis-11237	88	5	bp	bp	PROPN
fcis-11237	88	6	-	-	PUNCT
fcis-11237	88	7	lstm	lstm	ADJ
fcis-11237	88	8	-	-	PUNCT
fcis-11237	88	9	parallel	parallel	ADJ
fcis-11237	88	10	model	model	NOUN
fcis-11237	88	11	4.2.1	4.2.1	NUM
fcis-11237	88	12	.	.	PUNCT
fcis-11237	89	1	bp	bp	PROPN
fcis-11237	89	2	neural	neural	PROPN
fcis-11237	89	3	network	network	PROPN
fcis-11237	89	4	first	first	ADV
fcis-11237	89	5	of	of	ADP
fcis-11237	89	6	all	all	PRON
fcis-11237	89	7	,	,	PUNCT
fcis-11237	89	8	as	as	SCONJ
fcis-11237	89	9	can	can	AUX
fcis-11237	89	10	be	be	AUX
fcis-11237	89	11	seen	see	VERB
fcis-11237	89	12	from	from	ADP
fcis-11237	89	13	the	the	DET
fcis-11237	89	14	name	name	NOUN
fcis-11237	89	15	,	,	PUNCT
fcis-11237	89	16	bp	bp	PROPN
fcis-11237	89	17	neural	neural	ADJ
fcis-11237	89	18	network	network	NOUN
fcis-11237	89	19	can	can	AUX
fcis-11237	89	20	be	be	AUX
fcis-11237	89	21	divided	divide	VERB
fcis-11237	89	22	into	into	ADP
fcis-11237	89	23	two	two	NUM
fcis-11237	89	24	parts	part	NOUN
fcis-11237	89	25	,	,	PUNCT
fcis-11237	89	26	bp	bp	PROPN
fcis-11237	89	27	and	and	CCONJ
fcis-11237	89	28	neural	neural	ADJ
fcis-11237	89	29	network	network	NOUN
fcis-11237	89	30	.	.	PUNCT
fcis-11237	90	1	bp	bp	PROPN
fcis-11237	90	2	is	be	AUX
fcis-11237	90	3	the	the	DET
fcis-11237	90	4	abbreviation	abbreviation	NOUN
fcis-11237	90	5	of	of	ADP
fcis-11237	90	6	back	back	ADJ
fcis-11237	90	7	propagation	propagation	NOUN
fcis-11237	90	8	,	,	PUNCT
fcis-11237	90	9	which	which	PRON
fcis-11237	90	10	means	mean	VERB
fcis-11237	90	11	back	back	ADP
fcis-11237	90	12	propagation	propagation	NOUN
fcis-11237	90	13	[	[	X
fcis-11237	90	14	4	4	NUM
fcis-11237	90	15	]	]	PUNCT
fcis-11237	90	16	.	.	PUNCT
fcis-11237	91	1	bp	bp	PROPN
fcis-11237	91	2	networks	network	NOUN
fcis-11237	91	3	can	can	AUX
fcis-11237	91	4	learn	learn	VERB
fcis-11237	91	5	and	and	CCONJ
fcis-11237	91	6	store	store	VERB
fcis-11237	91	7	a	a	DET
fcis-11237	91	8	large	large	ADJ
fcis-11237	91	9	number	number	NOUN
fcis-11237	91	10	of	of	ADP
fcis-11237	91	11	inputoutput	inputoutput	NOUN
fcis-11237	91	12	pattern	pattern	NOUN
fcis-11237	91	13	mapping	mapping	NOUN
fcis-11237	91	14	relationships	relationship	NOUN
fcis-11237	91	15	without	without	ADP
fcis-11237	91	16	revealing	reveal	VERB
fcis-11237	91	17	the	the	DET
fcis-11237	91	18	mathematical	mathematical	ADJ
fcis-11237	91	19	formulas	formula	NOUN
fcis-11237	91	20	describing	describe	VERB
fcis-11237	91	21	the	the	DET
fcis-11237	91	22	mapping	mapping	NOUN
fcis-11237	91	23	relationships	relationship	NOUN
fcis-11237	91	24	beforehand	beforehand	ADV
fcis-11237	91	25	.	.	PUNCT
fcis-11237	92	1	its	its	PRON
fcis-11237	92	2	learning	learning	NOUN
fcis-11237	92	3	rule	rule	NOUN
fcis-11237	92	4	is	be	AUX
fcis-11237	92	5	to	to	PART
fcis-11237	92	6	minimize	minimize	VERB
fcis-11237	92	7	the	the	DET
fcis-11237	92	8	sum	sum	NOUN
fcis-11237	92	9	of	of	ADP
fcis-11237	92	10	squared	square	VERB
fcis-11237	92	11	errors	error	NOUN
fcis-11237	92	12	of	of	ADP
fcis-11237	92	13	the	the	DET
fcis-11237	92	14	network	network	NOUN
fcis-11237	92	15	by	by	ADP
fcis-11237	92	16	continuously	continuously	ADV
fcis-11237	92	17	adjusting	adjust	VERB
fcis-11237	92	18	the	the	DET
fcis-11237	92	19	weights	weight	NOUN
fcis-11237	92	20	and	and	CCONJ
fcis-11237	92	21	thresholds	threshold	NOUN
fcis-11237	92	22	of	of	ADP
fcis-11237	92	23	the	the	DET
fcis-11237	92	24	network	network	NOUN
fcis-11237	92	25	through	through	ADP
fcis-11237	92	26	backpropagation	backpropagation	NOUN
fcis-11237	92	27	using	use	VERB
fcis-11237	92	28	the	the	DET
fcis-11237	92	29	steepest	steep	ADJ
fcis-11237	92	30	descent	descent	NOUN
fcis-11237	92	31	method	method	NOUN
fcis-11237	92	32	.	.	PUNCT
fcis-11237	93	1	the	the	DET
fcis-11237	93	2	bp	bp	PROPN
fcis-11237	93	3	neural	neural	PROPN
fcis-11237	93	4	network	network	PROPN
fcis-11237	93	5	flowchart	flowchart	PROPN
fcis-11237	93	6	is	be	AUX
fcis-11237	93	7	shown	show	VERB
fcis-11237	93	8	in	in	ADP
fcis-11237	93	9	figure	figure	NOUN
fcis-11237	93	10	5	5	NUM
fcis-11237	93	11	.	.	PUNCT
fcis-11237	93	12	figure	figure	NOUN
fcis-11237	93	13	5	5	NUM
fcis-11237	93	14	.	.	PUNCT
fcis-11237	93	15	bp	bp	PROPN
fcis-11237	93	16	neural	neural	PROPN
fcis-11237	93	17	network	network	PROPN
fcis-11237	93	18	flow	flow	NOUN
fcis-11237	93	19	chart	chart	NOUN
fcis-11237	93	20	4.2.2	4.2.2	NUM
fcis-11237	93	21	.	.	PUNCT
fcis-11237	94	1	test	test	NOUN
fcis-11237	94	2	for	for	ADP
fcis-11237	94	3	normality	normality	NOUN
fcis-11237	94	4	of	of	ADP
fcis-11237	94	5	answer	answer	ADJ
fcis-11237	94	6	distribution	distribution	NOUN
fcis-11237	94	7	in	in	ADP
fcis-11237	94	8	order	order	NOUN
fcis-11237	94	9	to	to	PART
fcis-11237	94	10	determine	determine	VERB
fcis-11237	94	11	whether	whether	SCONJ
fcis-11237	94	12	the	the	DET
fcis-11237	94	13	percentage	percentage	NOUN
fcis-11237	94	14	of	of	ADP
fcis-11237	94	15	guessing	guess	VERB
fcis-11237	94	16	1	1	NUM
fcis-11237	94	17	,	,	PUNCT
fcis-11237	94	18	2	2	NUM
fcis-11237	94	19	,	,	PUNCT
fcis-11237	94	20	3	3	NUM
fcis-11237	94	21	,	,	PUNCT
fcis-11237	94	22	4	4	NUM
fcis-11237	94	23	,	,	PUNCT
fcis-11237	94	24	5	5	NUM
fcis-11237	94	25	,	,	PUNCT
fcis-11237	94	26	or	or	CCONJ
fcis-11237	94	27	6	6	NUM
fcis-11237	94	28	words	word	NOUN
fcis-11237	94	29	correctly	correctly	ADV
fcis-11237	94	30	or	or	CCONJ
fcis-11237	94	31	not	not	PART
fcis-11237	94	32	solving	solve	VERB
fcis-11237	94	33	the	the	DET
fcis-11237	94	34	puzzle	puzzle	NOUN
fcis-11237	94	35	was	be	AUX
fcis-11237	94	36	time	time	NOUN
fcis-11237	94	37	-	-	PUNCT
fcis-11237	94	38	dependent	dependent	ADJ
fcis-11237	94	39	,	,	PUNCT
fcis-11237	94	40	we	we	PRON
fcis-11237	94	41	attempted	attempt	VERB
fcis-11237	94	42	to	to	PART
fcis-11237	94	43	test	test	VERB
fcis-11237	94	44	for	for	ADP
fcis-11237	94	45	normality	normality	NOUN
fcis-11237	94	46	of	of	ADP
fcis-11237	94	47	the	the	DET
fcis-11237	94	48	percentages	percentage	NOUN
fcis-11237	94	49	for	for	ADP
fcis-11237	94	50	each	each	DET
fcis-11237	94	51	day	day	NOUN
fcis-11237	94	52	.	.	PUNCT
fcis-11237	95	1	due	due	ADP
fcis-11237	95	2	to	to	ADP
fcis-11237	95	3	the	the	DET
fcis-11237	95	4	small	small	ADJ
fcis-11237	95	5	total	total	ADJ
fcis-11237	95	6	amount	amount	NOUN
fcis-11237	95	7	of	of	ADP
fcis-11237	95	8	data	datum	NOUN
fcis-11237	95	9	for	for	ADP
fcis-11237	95	10	this	this	DET
fcis-11237	95	11	question	question	NOUN
fcis-11237	95	12	,	,	PUNCT
fcis-11237	95	13	we	we	PRON
fcis-11237	95	14	chose	choose	VERB
fcis-11237	95	15	the	the	DET
fcis-11237	95	16	shapiro	shapiro	PROPN
fcis-11237	95	17	-	-	PUNCT
fcis-11237	95	18	wilk	wilk	NOUN
fcis-11237	95	19	method	method	NOUN
fcis-11237	95	20	for	for	ADP
fcis-11237	95	21	the	the	DET
fcis-11237	95	22	test	test	NOUN
fcis-11237	95	23	.	.	PUNCT
fcis-11237	96	1	for	for	ADP
fcis-11237	96	2	the	the	DET
fcis-11237	96	3	results	result	NOUN
fcis-11237	96	4	of	of	ADP
fcis-11237	96	5	the	the	DET
fcis-11237	96	6	normality	normality	NOUN
fcis-11237	96	7	test	test	NOUN
fcis-11237	96	8	,	,	PUNCT
fcis-11237	96	9	if	if	SCONJ
fcis-11237	96	10	the	the	DET
fcis-11237	96	11	p	p	NOUN
fcis-11237	96	12	-	-	PUNCT
fcis-11237	96	13	value	value	NOUN
fcis-11237	96	14	is	be	AUX
fcis-11237	96	15	greater	great	ADJ
fcis-11237	96	16	than	than	ADP
fcis-11237	96	17	0.05	0.05	NUM
fcis-11237	96	18	,	,	PUNCT
fcis-11237	96	19	we	we	PRON
fcis-11237	96	20	consider	consider	VERB
fcis-11237	96	21	that	that	SCONJ
fcis-11237	96	22	it	it	PRON
fcis-11237	96	23	conforms	conform	VERB
fcis-11237	96	24	to	to	ADP
fcis-11237	96	25	a	a	DET
fcis-11237	96	26	normal	normal	ADJ
fcis-11237	96	27	distribution	distribution	NOUN
fcis-11237	96	28	;	;	PUNCT
fcis-11237	96	29	conversely	conversely	ADV
fcis-11237	96	30	,	,	PUNCT
fcis-11237	96	31	if	if	SCONJ
fcis-11237	96	32	the	the	DET
fcis-11237	96	33	p	p	NOUN
fcis-11237	96	34	-	-	PUNCT
fcis-11237	96	35	value	value	NOUN
fcis-11237	96	36	is	be	AUX
fcis-11237	96	37	less	less	ADJ
fcis-11237	96	38	than	than	ADP
fcis-11237	96	39	0.05	0.05	NUM
fcis-11237	96	40	,	,	PUNCT
fcis-11237	96	41	we	we	PRON
fcis-11237	96	42	consider	consider	VERB
fcis-11237	96	43	that	that	SCONJ
fcis-11237	96	44	it	it	PRON
fcis-11237	96	45	does	do	AUX
fcis-11237	96	46	not	not	PART
fcis-11237	96	47	conform	conform	VERB
fcis-11237	96	48	to	to	ADP
fcis-11237	96	49	a	a	DET
fcis-11237	96	50	normal	normal	ADJ
fcis-11237	96	51	distribution	distribution	NOUN
fcis-11237	96	52	.	.	PUNCT
fcis-11237	97	1	the	the	DET
fcis-11237	97	2	results	result	NOUN
fcis-11237	97	3	of	of	ADP
fcis-11237	97	4	the	the	DET
fcis-11237	97	5	normality	normality	NOUN
fcis-11237	97	6	test	test	NOUN
fcis-11237	97	7	are	be	AUX
fcis-11237	97	8	shown	show	VERB
fcis-11237	97	9	in	in	ADP
fcis-11237	97	10	table	table	NOUN
fcis-11237	97	11	2	2	NUM
fcis-11237	97	12	.	.	PUNCT
fcis-11237	97	13	table	table	NOUN
fcis-11237	97	14	2	2	NUM
fcis-11237	97	15	.	.	X
fcis-11237	97	16	shapiro	shapiro	PROPN
fcis-11237	97	17	-	-	PUNCT
fcis-11237	97	18	wilk	wilk	PROPN
fcis-11237	97	19	test	test	NOUN
fcis-11237	97	20	results	result	NOUN
fcis-11237	97	21	attempts	attempt	VERB
fcis-11237	97	22	1try	1try	NOUN
fcis-11237	98	1	2try	2try	NOUN
fcis-11237	98	2	3try	3try	NOUN
fcis-11237	98	3	4try	4try	PROPN
fcis-11237	98	4	5try	5try	PROPN
fcis-11237	98	5	6try	6try	NOUN
fcis-11237	98	6	7ormoretries(x	7ormoretries(x	NUM
fcis-11237	98	7	)	)	PUNCT
fcis-11237	98	8	p	p	NOUN
fcis-11237	98	9	value	value	NOUN
fcis-11237	98	10	0.0000.0010.0340.003	0.0000.0010.0340.003	NOUN
fcis-11237	98	11	0.151	0.151	NUM
fcis-11237	98	12	0.000	0.000	NUM
fcis-11237	98	13	0.000	0.000	NUM
fcis-11237	98	14	from	from	ADP
fcis-11237	98	15	the	the	DET
fcis-11237	98	16	results	result	NOUN
fcis-11237	98	17	of	of	ADP
fcis-11237	98	18	the	the	DET
fcis-11237	98	19	normality	normality	NOUN
fcis-11237	98	20	test	test	NOUN
fcis-11237	98	21	shown	show	VERB
fcis-11237	98	22	in	in	ADP
fcis-11237	98	23	table	table	NOUN
fcis-11237	98	24	2	2	NUM
fcis-11237	98	25	,	,	PUNCT
fcis-11237	98	26	it	it	PRON
fcis-11237	98	27	can	can	AUX
fcis-11237	98	28	be	be	AUX
fcis-11237	98	29	seen	see	VERB
fcis-11237	98	30	that	that	SCONJ
fcis-11237	98	31	most	most	ADJ
fcis-11237	98	32	of	of	ADP
fcis-11237	98	33	the	the	DET
fcis-11237	98	34	variables	variable	NOUN
fcis-11237	98	35	do	do	AUX
fcis-11237	98	36	not	not	PART
fcis-11237	98	37	conform	conform	VERB
fcis-11237	98	38	to	to	ADP
fcis-11237	98	39	a	a	DET
fcis-11237	98	40	normal	normal	ADJ
fcis-11237	98	41	distribution	distribution	NOUN
fcis-11237	98	42	.	.	PUNCT
fcis-11237	99	1	therefore	therefore	ADV
fcis-11237	99	2	,	,	PUNCT
fcis-11237	99	3	we	we	PRON
fcis-11237	99	4	believe	believe	VERB
fcis-11237	99	5	that	that	SCONJ
fcis-11237	99	6	the	the	DET
fcis-11237	99	7	relative	relative	ADJ
fcis-11237	99	8	percentage	percentage	NOUN
fcis-11237	99	9	of	of	ADP
fcis-11237	99	10	time	time	NOUN
fcis-11237	99	11	spent	spend	VERB
fcis-11237	99	12	answering	answer	VERB
fcis-11237	99	13	questions	question	NOUN
fcis-11237	99	14	is	be	AUX
fcis-11237	99	15	related	relate	VERB
fcis-11237	99	16	to	to	ADP
fcis-11237	99	17	time	time	NOUN
fcis-11237	99	18	.	.	PUNCT
fcis-11237	100	1	therefore	therefore	ADV
fcis-11237	100	2	,	,	PUNCT
fcis-11237	100	3	we	we	PRON
fcis-11237	100	4	introduced	introduce	VERB
fcis-11237	100	5	the	the	DET
fcis-11237	100	6	time	time	NOUN
fcis-11237	100	7	variable	variable	NOUN
fcis-11237	100	8	in	in	ADP
fcis-11237	100	9	our	our	PRON
fcis-11237	100	10	model	model	NOUN
fcis-11237	100	11	.	.	PUNCT
fcis-11237	101	1	4.2.3	4.2.3	X
fcis-11237	101	2	.	.	PUNCT
fcis-11237	102	1	bp	bp	PROPN
fcis-11237	102	2	-	-	PUNCT
fcis-11237	102	3	lstm	lstm	PROPN
fcis-11237	102	4	parallel	parallel	NOUN
fcis-11237	102	5	modeling	modeling	NOUN
fcis-11237	102	6	in	in	ADP
fcis-11237	102	7	building	build	VERB
fcis-11237	102	8	this	this	DET
fcis-11237	102	9	model	model	NOUN
fcis-11237	103	1	,	,	PUNCT
fcis-11237	103	2	we	we	PRON
fcis-11237	103	3	first	first	ADV
fcis-11237	103	4	input	input	VERB
fcis-11237	103	5	the	the	DET
fcis-11237	103	6	answer	answer	NOUN
fcis-11237	103	7	distribution	distribution	NOUN
fcis-11237	103	8	features	feature	NOUN
fcis-11237	103	9	with	with	ADP
fcis-11237	103	10	temporal	temporal	ADJ
fcis-11237	103	11	features	feature	NOUN
fcis-11237	103	12	into	into	ADP
fcis-11237	103	13	the	the	DET
fcis-11237	103	14	lstm	lstm	ADJ
fcis-11237	103	15	branch	branch	NOUN
fcis-11237	103	16	to	to	PART
fcis-11237	103	17	extract	extract	VERB
fcis-11237	103	18	the	the	DET
fcis-11237	103	19	temporal	temporal	ADJ
fcis-11237	103	20	features	feature	NOUN
fcis-11237	103	21	and	and	CCONJ
fcis-11237	103	22	get	get	VERB
fcis-11237	103	23	the	the	DET
fcis-11237	103	24	feature	feature	NOUN
fcis-11237	103	25	vector	vector	NOUN
fcis-11237	103	26	reflecting	reflect	VERB
fcis-11237	103	27	the	the	DET
fcis-11237	103	28	temporal	temporal	ADJ
fcis-11237	103	29	dimension	dimension	NOUN
fcis-11237	103	30	features	feature	NOUN
fcis-11237	103	31	.	.	PUNCT
fcis-11237	104	1	we	we	PRON
fcis-11237	104	2	input	input	VERB
fcis-11237	104	3	the	the	DET
fcis-11237	104	4	word	word	NOUN
fcis-11237	104	5	attribute	attribute	NOUN
fcis-11237	104	6	features	feature	VERB
fcis-11237	104	7	without	without	ADP
fcis-11237	104	8	temporal	temporal	ADJ
fcis-11237	104	9	features	feature	NOUN
fcis-11237	104	10	in	in	ADP
fcis-11237	104	11	another	another	DET
fcis-11237	104	12	branch	branch	NOUN
fcis-11237	104	13	and	and	CCONJ
fcis-11237	104	14	output	output	VERB
fcis-11237	104	15	the	the	DET
fcis-11237	104	16	reflection	reflection	NOUN
fcis-11237	104	17	.	.	PUNCT
fcis-11237	105	1	word	word	NOUN
fcis-11237	105	2	attribute	attribute	NOUN
fcis-11237	105	3	features	feature	VERB
fcis-11237	105	4	,	,	PUNCT
fcis-11237	105	5	then	then	ADV
fcis-11237	105	6	the	the	DET
fcis-11237	105	7	features	feature	NOUN
fcis-11237	105	8	obtained	obtain	VERB
fcis-11237	105	9	from	from	ADP
fcis-11237	105	10	the	the	DET
fcis-11237	105	11	two	two	NUM
fcis-11237	105	12	branches	branch	NOUN
fcis-11237	105	13	are	be	AUX
fcis-11237	105	14	spliced	splice	VERB
fcis-11237	105	15	,	,	PUNCT
fcis-11237	105	16	and	and	CCONJ
fcis-11237	105	17	finally	finally	ADV
fcis-11237	105	18	the	the	DET
fcis-11237	105	19	distribution	distribution	NOUN
fcis-11237	105	20	of	of	ADP
fcis-11237	105	21	answers	answer	NOUN
fcis-11237	105	22	is	be	AUX
fcis-11237	105	23	obtained	obtain	VERB
fcis-11237	105	24	through	through	ADP
fcis-11237	105	25	the	the	DET
fcis-11237	105	26	output	output	NOUN
fcis-11237	105	27	of	of	ADP
fcis-11237	105	28	the	the	DET
fcis-11237	105	29	fully	fully	ADV
fcis-11237	105	30	connected	connected	ADJ
fcis-11237	105	31	layer	layer	NOUN
fcis-11237	106	1	[	[	X
fcis-11237	106	2	5	5	NUM
fcis-11237	106	3	]	]	PUNCT
fcis-11237	106	4	.	.	PUNCT
fcis-11237	107	1	the	the	DET
fcis-11237	107	2	specific	specific	ADJ
fcis-11237	107	3	structure	structure	NOUN
fcis-11237	107	4	of	of	ADP
fcis-11237	107	5	the	the	DET
fcis-11237	107	6	model	model	NOUN
fcis-11237	107	7	is	be	AUX
fcis-11237	107	8	shown	show	VERB
fcis-11237	107	9	in	in	ADP
fcis-11237	107	10	figure	figure	NOUN
fcis-11237	107	11	6	6	NUM
fcis-11237	107	12	.	.	PUNCT
fcis-11237	108	1	figure	figure	NOUN
fcis-11237	108	2	6	6	NUM
fcis-11237	108	3	.	.	PUNCT
fcis-11237	108	4	detailed	detailed	ADJ
fcis-11237	108	5	structure	structure	NOUN
fcis-11237	108	6	of	of	ADP
fcis-11237	108	7	bp	bp	PROPN
fcis-11237	108	8	-	-	PUNCT
fcis-11237	108	9	lstm	lstm	ADJ
fcis-11237	108	10	-	-	PUNCT
fcis-11237	108	11	parallel	parallel	ADJ
fcis-11237	108	12	model	model	NOUN
fcis-11237	108	13	120	120	NUM
fcis-11237	108	14	4.3	4.3	NUM
fcis-11237	108	15	.	.	PUNCT
fcis-11237	109	1	comparative	comparative	ADJ
fcis-11237	109	2	analysis	analysis	NOUN
fcis-11237	109	3	of	of	ADP
fcis-11237	109	4	model	model	NOUN
fcis-11237	109	5	prediction	prediction	NOUN
fcis-11237	109	6	performance	performance	NOUN
fcis-11237	109	7	we	we	PRON
fcis-11237	109	8	select	select	VERB
fcis-11237	109	9	80	80	NUM
fcis-11237	109	10	%	%	NOUN
fcis-11237	109	11	of	of	ADP
fcis-11237	109	12	the	the	DET
fcis-11237	109	13	data	datum	NOUN
fcis-11237	109	14	as	as	ADP
fcis-11237	109	15	the	the	DET
fcis-11237	109	16	training	training	NOUN
fcis-11237	109	17	set	set	VERB
fcis-11237	109	18	to	to	PART
fcis-11237	109	19	train	train	VERB
fcis-11237	109	20	the	the	DET
fcis-11237	109	21	model	model	NOUN
fcis-11237	109	22	and	and	CCONJ
fcis-11237	109	23	select	select	VERB
fcis-11237	109	24	the	the	DET
fcis-11237	109	25	remaining	remain	VERB
fcis-11237	109	26	20	20	NUM
fcis-11237	109	27	%	%	NOUN
fcis-11237	109	28	of	of	ADP
fcis-11237	109	29	the	the	DET
fcis-11237	109	30	data	datum	NOUN
fcis-11237	109	31	as	as	ADP
fcis-11237	109	32	the	the	DET
fcis-11237	109	33	test	test	NOUN
fcis-11237	109	34	set	set	VERB
fcis-11237	109	35	to	to	PART
fcis-11237	109	36	validate	validate	VERB
fcis-11237	109	37	the	the	DET
fcis-11237	109	38	model	model	NOUN
fcis-11237	109	39	.	.	PUNCT
fcis-11237	110	1	the	the	DET
fcis-11237	110	2	results	result	NOUN
fcis-11237	110	3	of	of	ADP
fcis-11237	110	4	the	the	DET
fcis-11237	110	5	model	model	NOUN
fcis-11237	110	6	on	on	ADP
fcis-11237	110	7	the	the	DET
fcis-11237	110	8	training	training	NOUN
fcis-11237	110	9	and	and	CCONJ
fcis-11237	110	10	test	test	NOUN
fcis-11237	110	11	sets	set	NOUN
fcis-11237	110	12	are	be	AUX
fcis-11237	110	13	shown	show	VERB
fcis-11237	110	14	below	below	ADP
fcis-11237	110	15	.	.	PUNCT
fcis-11237	111	1	4.3.1	4.3.1	X
fcis-11237	111	2	.	.	PUNCT
fcis-11237	112	1	performance	performance	NOUN
fcis-11237	112	2	during	during	ADP
fcis-11237	112	3	model	model	NOUN
fcis-11237	112	4	training	training	NOUN
fcis-11237	112	5	we	we	PRON
fcis-11237	112	6	train	train	VERB
fcis-11237	112	7	the	the	DET
fcis-11237	112	8	model	model	NOUN
fcis-11237	112	9	.	.	PUNCT
fcis-11237	113	1	in	in	ADP
fcis-11237	113	2	general	general	ADJ
fcis-11237	113	3	,	,	PUNCT
fcis-11237	113	4	the	the	DET
fcis-11237	113	5	self	self	NOUN
fcis-11237	113	6	-	-	PUNCT
fcis-11237	113	7	built	build	VERB
fcis-11237	113	8	network	network	NOUN
fcis-11237	113	9	model	model	NOUN
fcis-11237	113	10	is	be	AUX
fcis-11237	113	11	trained	train	VERB
fcis-11237	113	12	better	well	ADJ
fcis-11237	113	13	than	than	ADP
fcis-11237	113	14	the	the	DET
fcis-11237	113	15	traditional	traditional	ADJ
fcis-11237	113	16	bp	bp	PROPN
fcis-11237	113	17	neural	neural	ADJ
fcis-11237	113	18	network	network	NOUN
fcis-11237	113	19	.	.	PUNCT
fcis-11237	114	1	however	however	ADV
fcis-11237	114	2	,	,	PUNCT
fcis-11237	114	3	our	our	PRON
fcis-11237	114	4	training	training	NOUN
fcis-11237	114	5	method	method	NOUN
fcis-11237	114	6	introduces	introduce	VERB
fcis-11237	114	7	some	some	DET
fcis-11237	114	8	error	error	NOUN
fcis-11237	114	9	into	into	ADP
fcis-11237	114	10	the	the	DET
fcis-11237	114	11	self	self	NOUN
fcis-11237	114	12	-	-	PUNCT
fcis-11237	114	13	built	build	VERB
fcis-11237	114	14	network	network	NOUN
fcis-11237	114	15	.	.	PUNCT
fcis-11237	115	1	when	when	SCONJ
fcis-11237	115	2	we	we	PRON
fcis-11237	115	3	use	use	VERB
fcis-11237	115	4	the	the	DET
fcis-11237	115	5	model	model	NOUN
fcis-11237	115	6	for	for	ADP
fcis-11237	115	7	prediction	prediction	NOUN
fcis-11237	115	8	,	,	PUNCT
fcis-11237	115	9	we	we	PRON
fcis-11237	115	10	use	use	VERB
fcis-11237	115	11	day	day	NOUN
fcis-11237	115	12	-	-	PUNCT
fcis-11237	115	13	by	by	ADP
fcis-11237	115	14	-	-	PUNCT
fcis-11237	115	15	day	day	NOUN
fcis-11237	115	16	prediction	prediction	NOUN
fcis-11237	115	17	,	,	PUNCT
fcis-11237	115	18	so	so	CCONJ
fcis-11237	115	19	when	when	SCONJ
fcis-11237	115	20	predicting	predict	VERB
fcis-11237	115	21	,	,	PUNCT
fcis-11237	115	22	we	we	PRON
fcis-11237	115	23	need	need	VERB
fcis-11237	115	24	to	to	PART
fcis-11237	115	25	set	set	VERB
fcis-11237	115	26	the	the	DET
fcis-11237	115	27	word	word	NOUN
fcis-11237	115	28	attributes	attribute	VERB
fcis-11237	115	29	to	to	ADP
fcis-11237	115	30	random	random	ADJ
fcis-11237	115	31	numbers	number	NOUN
fcis-11237	115	32	for	for	ADP
fcis-11237	115	33	prediction	prediction	NOUN
fcis-11237	115	34	and	and	CCONJ
fcis-11237	115	35	add	add	VERB
fcis-11237	115	36	eerie	eerie	ADJ
fcis-11237	115	37	word	word	NOUN
fcis-11237	115	38	attributes	attribute	NOUN
fcis-11237	115	39	for	for	ADP
fcis-11237	115	40	prediction	prediction	NOUN
fcis-11237	115	41	until	until	ADP
fcis-11237	115	42	march	march	PROPN
fcis-11237	115	43	1st	1st	NOUN
fcis-11237	115	44	.	.	PUNCT
fcis-11237	116	1	randomly	randomly	ADV
fcis-11237	116	2	generated	generate	VERB
fcis-11237	116	3	word	word	NOUN
fcis-11237	116	4	attributes	attribute	NOUN
fcis-11237	116	5	may	may	AUX
fcis-11237	116	6	lead	lead	VERB
fcis-11237	116	7	to	to	ADP
fcis-11237	116	8	biased	biased	ADJ
fcis-11237	116	9	results	result	NOUN
fcis-11237	116	10	,	,	PUNCT
fcis-11237	116	11	and	and	CCONJ
fcis-11237	116	12	small	small	ADJ
fcis-11237	116	13	amount	amount	NOUN
fcis-11237	116	14	of	of	ADP
fcis-11237	116	15	data	datum	NOUN
fcis-11237	116	16	and	and	CCONJ
fcis-11237	116	17	high	high	ADJ
fcis-11237	116	18	jitter	jitter	NOUN
fcis-11237	116	19	may	may	AUX
fcis-11237	116	20	lead	lead	VERB
fcis-11237	116	21	to	to	ADP
fcis-11237	116	22	overfitting	overfitting	NOUN
fcis-11237	116	23	of	of	ADP
fcis-11237	116	24	the	the	DET
fcis-11237	116	25	model	model	NOUN
fcis-11237	116	26	.	.	PUNCT
fcis-11237	117	1	intuitively	intuitively	ADV
fcis-11237	117	2	analyzing	analyze	VERB
fcis-11237	117	3	the	the	DET
fcis-11237	117	4	pca	pca	NOUN
fcis-11237	117	5	dimensionality	dimensionality	NOUN
fcis-11237	117	6	reduction	reduction	NOUN
fcis-11237	117	7	test	test	NOUN
fcis-11237	117	8	results	result	NOUN
fcis-11237	117	9	for	for	ADP
fcis-11237	117	10	the	the	DET
fcis-11237	117	11	test	test	NOUN
fcis-11237	117	12	set	set	NOUN
fcis-11237	117	13	of	of	ADP
fcis-11237	117	14	the	the	DET
fcis-11237	117	15	above	above	ADJ
fcis-11237	117	16	two	two	NUM
fcis-11237	117	17	models	model	NOUN
fcis-11237	117	18	,	,	PUNCT
fcis-11237	117	19	it	it	PRON
fcis-11237	117	20	can	can	AUX
fcis-11237	117	21	be	be	AUX
fcis-11237	117	22	seen	see	VERB
fcis-11237	117	23	in	in	ADP
fcis-11237	117	24	figure	figure	NOUN
fcis-11237	117	25	7	7	NUM
fcis-11237	117	26	that	that	SCONJ
fcis-11237	117	27	the	the	DET
fcis-11237	117	28	bp	bp	PROPN
fcis-11237	117	29	neural	neural	PROPN
fcis-11237	117	30	network	network	NOUN
fcis-11237	117	31	gradually	gradually	ADV
fcis-11237	117	32	deviates	deviate	VERB
fcis-11237	117	33	from	from	ADP
fcis-11237	117	34	the	the	DET
fcis-11237	117	35	true	true	ADJ
fcis-11237	117	36	value	value	NOUN
fcis-11237	117	37	,	,	PUNCT
fcis-11237	117	38	while	while	SCONJ
fcis-11237	117	39	the	the	DET
fcis-11237	117	40	bp	bp	PROPN
fcis-11237	117	41	-	-	PUNCT
fcis-11237	117	42	lstm	lstm	ADJ
fcis-11237	117	43	-	-	PUNCT
fcis-11237	117	44	parallel	parallel	ADJ
fcis-11237	117	45	model	model	NOUN
fcis-11237	117	46	has	have	VERB
fcis-11237	117	47	a	a	DET
fcis-11237	117	48	smaller	small	ADJ
fcis-11237	117	49	error	error	NOUN
fcis-11237	117	50	from	from	ADP
fcis-11237	117	51	the	the	DET
fcis-11237	117	52	true	true	ADJ
fcis-11237	117	53	value	value	NOUN
fcis-11237	117	54	and	and	CCONJ
fcis-11237	117	55	the	the	DET
fcis-11237	117	56	trend	trend	NOUN
fcis-11237	117	57	of	of	ADP
fcis-11237	117	58	the	the	DET
fcis-11237	117	59	true	true	ADJ
fcis-11237	117	60	value	value	NOUN
fcis-11237	117	61	is	be	AUX
fcis-11237	117	62	the	the	DET
fcis-11237	117	63	same	same	ADJ
fcis-11237	117	64	,	,	PUNCT
fcis-11237	117	65	which	which	PRON
fcis-11237	117	66	can	can	AUX
fcis-11237	117	67	be	be	AUX
fcis-11237	117	68	seen	see	VERB
fcis-11237	117	69	that	that	SCONJ
fcis-11237	117	70	the	the	DET
fcis-11237	117	71	bp	bp	PROPN
fcis-11237	117	72	-	-	PUNCT
fcis-11237	117	73	lstmparallel	lstmparallel	ADJ
fcis-11237	117	74	model	model	NOUN
fcis-11237	117	75	is	be	AUX
fcis-11237	117	76	better	well	ADJ
fcis-11237	117	77	than	than	ADP
fcis-11237	117	78	the	the	DET
fcis-11237	117	79	bp	bp	PROPN
fcis-11237	117	80	neural	neural	ADJ
fcis-11237	117	81	network	network	NOUN
fcis-11237	117	82	.	.	PUNCT
fcis-11237	118	1	figure	figure	NOUN
fcis-11237	118	2	7	7	NUM
fcis-11237	118	3	.	.	PUNCT
fcis-11237	118	4	comparison	comparison	NOUN
fcis-11237	118	5	of	of	ADP
fcis-11237	118	6	two	two	NUM
fcis-11237	118	7	neural	neural	ADJ
fcis-11237	118	8	networks	network	NOUN
fcis-11237	118	9	4.3.2	4.3.2	NOUN
fcis-11237	118	10	.	.	PUNCT
fcis-11237	119	1	performance	performance	NOUN
fcis-11237	119	2	during	during	ADP
fcis-11237	119	3	model	model	NOUN
fcis-11237	119	4	testing	test	VERB
fcis-11237	119	5	the	the	DET
fcis-11237	119	6	bp	bp	PROPN
fcis-11237	119	7	-	-	PUNCT
fcis-11237	119	8	lstm	lstm	ADJ
fcis-11237	119	9	-	-	PUNCT
fcis-11237	119	10	parallel	parallel	ADJ
fcis-11237	119	11	model	model	NOUN
fcis-11237	119	12	performs	perform	VERB
fcis-11237	119	13	well	well	ADV
fcis-11237	119	14	when	when	SCONJ
fcis-11237	119	15	testing	test	VERB
fcis-11237	119	16	the	the	DET
fcis-11237	119	17	model	model	NOUN
fcis-11237	119	18	.	.	PUNCT
fcis-11237	120	1	the	the	DET
fcis-11237	120	2	mape	mape	NOUN
fcis-11237	120	3	of	of	ADP
fcis-11237	120	4	the	the	DET
fcis-11237	120	5	model	model	NOUN
fcis-11237	120	6	on	on	ADP
fcis-11237	120	7	the	the	DET
fcis-11237	120	8	test	test	NOUN
fcis-11237	120	9	set	set	NOUN
fcis-11237	120	10	is	be	AUX
fcis-11237	120	11	6.09	6.09	NUM
fcis-11237	120	12	,	,	PUNCT
fcis-11237	120	13	so	so	CCONJ
fcis-11237	120	14	the	the	DET
fcis-11237	120	15	deviation	deviation	NOUN
fcis-11237	120	16	of	of	ADP
fcis-11237	120	17	the	the	DET
fcis-11237	120	18	model	model	NOUN
fcis-11237	120	19	prediction	prediction	NOUN
fcis-11237	120	20	results	result	NOUN
fcis-11237	120	21	will	will	AUX
fcis-11237	120	22	not	not	PART
fcis-11237	120	23	exceed	exceed	VERB
fcis-11237	120	24	6.09	6.09	NUM
fcis-11237	120	25	%	%	NOUN
fcis-11237	120	26	.	.	PUNCT
fcis-11237	121	1	the	the	DET
fcis-11237	121	2	correlation	correlation	NOUN
fcis-11237	121	3	results	result	NOUN
fcis-11237	121	4	are	be	AUX
fcis-11237	121	5	shown	show	VERB
fcis-11237	121	6	in	in	ADP
fcis-11237	121	7	table	table	NOUN
fcis-11237	121	8	3	3	NUM
fcis-11237	121	9	.	.	PUNCT
fcis-11237	121	10	table	table	NOUN
fcis-11237	121	11	3	3	NUM
fcis-11237	121	12	.	.	PUNCT
fcis-11237	121	13	model	model	NOUN
fcis-11237	121	14	performance	performance	NOUN
fcis-11237	121	15	evaluation	evaluation	NOUN
fcis-11237	121	16	table	table	NOUN
fcis-11237	121	17	model	model	NOUN
fcis-11237	121	18	mse	mse	PROPN
fcis-11237	121	19	mape	mape	PROPN
fcis-11237	121	20	bpnn	bpnn	ADP
fcis-11237	121	21	0.49	0.49	NUM
fcis-11237	121	22	31.10	31.10	NUM
fcis-11237	121	23	bp	bp	PROPN
fcis-11237	121	24	-	-	PUNCT
fcis-11237	121	25	lstm	lstm	ADJ
fcis-11237	121	26	-	-	PUNCT
fcis-11237	121	27	parallel	parallel	ADJ
fcis-11237	121	28	model	model	NOUN
fcis-11237	121	29	0.3	0.3	NUM
fcis-11237	121	30	6.09	6.09	NUM
fcis-11237	121	31	5	5	NUM
fcis-11237	121	32	.	.	PUNCT
fcis-11237	121	33	model	model	NOUN
fcis-11237	121	34	evaluation	evaluation	NOUN
fcis-11237	121	35	as	as	ADP
fcis-11237	121	36	the	the	DET
fcis-11237	121	37	original	original	ADJ
fcis-11237	121	38	dataset	dataset	NOUN
fcis-11237	121	39	fluctuates	fluctuate	NOUN
fcis-11237	121	40	,	,	PUNCT
fcis-11237	121	41	lstm	lstm	NOUN
fcis-11237	121	42	can	can	AUX
fcis-11237	121	43	fit	fit	VERB
fcis-11237	121	44	and	and	CCONJ
fcis-11237	121	45	predict	predict	VERB
fcis-11237	121	46	the	the	DET
fcis-11237	121	47	data	datum	NOUN
fcis-11237	121	48	better	well	ADV
fcis-11237	121	49	than	than	ADP
fcis-11237	121	50	other	other	ADJ
fcis-11237	121	51	models	model	NOUN
fcis-11237	121	52	when	when	SCONJ
fcis-11237	121	53	the	the	DET
fcis-11237	121	54	data	data	NOUN
fcis-11237	121	55	fluctuates	fluctuate	VERB
fcis-11237	121	56	.	.	PUNCT
fcis-11237	122	1	therefore	therefore	ADV
fcis-11237	122	2	,	,	PUNCT
fcis-11237	122	3	lstm	lstm	ADJ
fcis-11237	122	4	model	model	NOUN
fcis-11237	122	5	can	can	AUX
fcis-11237	122	6	achieve	achieve	VERB
fcis-11237	122	7	better	well	ADJ
fcis-11237	122	8	results	result	NOUN
fcis-11237	122	9	.	.	PUNCT
fcis-11237	123	1	the	the	DET
fcis-11237	123	2	bplstm	bplstm	NOUN
fcis-11237	123	3	-	-	PUNCT
fcis-11237	123	4	parallel	parallel	NOUN
fcis-11237	123	5	model	model	NOUN
fcis-11237	123	6	not	not	PART
fcis-11237	123	7	only	only	ADV
fcis-11237	123	8	takes	take	VERB
fcis-11237	123	9	into	into	ADP
fcis-11237	123	10	account	account	NOUN
fcis-11237	123	11	the	the	DET
fcis-11237	123	12	effect	effect	NOUN
fcis-11237	123	13	of	of	ADP
fcis-11237	123	14	word	word	NOUN
fcis-11237	123	15	attributes	attribute	VERB
fcis-11237	123	16	,	,	PUNCT
fcis-11237	123	17	but	but	CCONJ
fcis-11237	123	18	also	also	ADV
fcis-11237	123	19	finds	find	VERB
fcis-11237	123	20	the	the	DET
fcis-11237	123	21	temporal	temporal	ADJ
fcis-11237	123	22	regularity	regularity	NOUN
fcis-11237	123	23	of	of	ADP
fcis-11237	123	24	the	the	DET
fcis-11237	123	25	percentage	percentage	NOUN
fcis-11237	123	26	,	,	PUNCT
fcis-11237	123	27	which	which	PRON
fcis-11237	123	28	leads	lead	VERB
fcis-11237	123	29	to	to	ADP
fcis-11237	123	30	better	well	ADJ
fcis-11237	123	31	prediction	prediction	NOUN
fcis-11237	123	32	.	.	PUNCT
fcis-11237	124	1	references	reference	NOUN
fcis-11237	124	2	[	[	X
fcis-11237	124	3	1	1	NUM
fcis-11237	124	4	]	]	X
fcis-11237	124	5	du	du	PROPN
fcis-11237	124	6	hua	hua	PROPN
fcis-11237	124	7	.	.	PROPN
fcis-11237	125	1	design	design	NOUN
fcis-11237	125	2	and	and	CCONJ
fcis-11237	125	3	practice	practice	NOUN
fcis-11237	125	4	of	of	ADP
fcis-11237	125	5	english	english	ADJ
fcis-11237	125	6	reading	reading	NOUN
fcis-11237	125	7	teaching	teach	VERB
fcis-11237	125	8	with	with	ADP
fcis-11237	125	9	word	word	NOUN
fcis-11237	125	10	cloud	cloud	NOUN
fcis-11237	125	11	mapping	mapping	NOUN
fcis-11237	125	12	--	--	PUNCT
fcis-11237	125	13	taking	take	VERB
fcis-11237	125	14	wordle	wordle	NOUN
fcis-11237	125	15	,	,	PUNCT
fcis-11237	125	16	a	a	DET
fcis-11237	125	17	word	word	NOUN
fcis-11237	125	18	cloud	cloud	NOUN
fcis-11237	125	19	mapping	mapping	NOUN
fcis-11237	125	20	tool	tool	NOUN
fcis-11237	125	21	,	,	PUNCT
fcis-11237	125	22	as	as	ADP
fcis-11237	125	23	an	an	DET
fcis-11237	125	24	example[j	example[j	NOUN
fcis-11237	125	25	]	]	PUNCT
fcis-11237	125	26	.	.	PUNCT
fcis-11237	126	1	modern	modern	ADJ
fcis-11237	126	2	education	education	NOUN
fcis-11237	126	3	technology	technology	NOUN
fcis-11237	126	4	,	,	PUNCT
fcis-11237	126	5	2012,22(09):65	2012,22(09):65	NUM
fcis-11237	126	6	-	-	SYM
fcis-11237	126	7	69	69	NUM
fcis-11237	126	8	.	.	PUNCT
fcis-11237	127	1	[	[	X
fcis-11237	127	2	2	2	X
fcis-11237	127	3	]	]	X
fcis-11237	127	4	weng	weng	PROPN
fcis-11237	127	5	zixia	zixia	PROPN
fcis-11237	127	6	.	.	PUNCT
fcis-11237	128	1	stock	stock	NOUN
fcis-11237	128	2	price	price	NOUN
fcis-11237	128	3	analysis	analysis	NOUN
fcis-11237	128	4	and	and	CCONJ
fcis-11237	128	5	forecasting	forecasting	NOUN
fcis-11237	128	6	based	base	VERB
fcis-11237	128	7	on	on	ADP
fcis-11237	128	8	arima	arima	PROPN
fcis-11237	128	9	model	model	NOUN
fcis-11237	128	10	--	--	PUNCT
fcis-11237	128	11	taking	take	VERB
fcis-11237	128	12	construction	construction	NOUN
fcis-11237	128	13	bank	bank	NOUN
fcis-11237	128	14	as	as	ADP
fcis-11237	128	15	an	an	DET
fcis-11237	128	16	example[j	example[j	NOUN
fcis-11237	128	17	]	]	PUNCT
fcis-11237	128	18	.	.	PUNCT
fcis-11237	129	1	modern	modern	ADJ
fcis-11237	129	2	information	information	NOUN
fcis-11237	129	3	technology,2023,7(14):137	technology,2023,7(14):137	PROPN
fcis-11237	129	4	-	-	PUNCT
fcis-11237	129	5	141	141	NUM
fcis-11237	129	6	.	.	PUNCT
fcis-11237	130	1	doi	doi	NOUN
fcis-11237	130	2	:	:	PUNCT
fcis-11237	130	3	10.19850/	10.19850/	NUM
fcis-11237	130	4	j.cnki.2096	j.cnki.2096	NOUN
fcis-11237	130	5	-	-	PUNCT
fcis-11237	130	6	4706.2023.14.029	4706.2023.14.029	PROPN
fcis-11237	130	7	.	.	PUNCT
fcis-11237	131	1	[	[	X
fcis-11237	131	2	3	3	X
fcis-11237	131	3	]	]	X
fcis-11237	131	4	qin	qin	PROPN
fcis-11237	131	5	jiabing	jiabing	PROPN
fcis-11237	131	6	,	,	PUNCT
fcis-11237	131	7	lu	lu	PROPN
fcis-11237	131	8	lihua	lihua	PROPN
fcis-11237	131	9	,	,	PUNCT
fcis-11237	131	10	ji	ji	PROPN
fcis-11237	131	11	chengfeng	chengfeng	PROPN
fcis-11237	131	12	.	.	PUNCT
fcis-11237	132	1	lstm	lstm	PROPN
fcis-11237	132	2	stock	stock	NOUN
fcis-11237	132	3	price	price	NOUN
fcis-11237	132	4	prediction	prediction	NOUN
fcis-11237	132	5	model	model	NOUN
fcis-11237	132	6	for	for	ADP
fcis-11237	132	7	sector	sector	NOUN
fcis-11237	132	8	etf	etf	NOUN
fcis-11237	132	9	funds[j	funds[j	PROPN
fcis-11237	132	10	]	]	PUNCT
fcis-11237	132	11	.	.	PUNCT
fcis-11237	133	1	fujian	fujian	PROPN
fcis-11237	133	2	computer	computer	PROPN
fcis-11237	133	3	,	,	PUNCT
fcis-11237	133	4	2023	2023	NUM
fcis-11237	133	5	,	,	PUNCT
fcis-11237	133	6	39(08):15	39(08):15	NUM
fcis-11237	133	7	-	-	SYM
fcis-11237	133	8	19.doi	19.doi	NOUN
fcis-11237	133	9	:	:	PUNCT
fcis-11237	133	10	10.16707	10.16707	NUM
fcis-11237	133	11	/	/	SYM
fcis-11237	133	12	j.	j.	PROPN
fcis-11237	133	13	cnki.fjpc	cnki.fjpc	PROPN
fcis-11237	133	14	.	.	PUNCT
fcis-11237	134	1	2023	2023	NUM
fcis-11237	134	2	.	.	X
fcis-11237	135	1	08	08	NUM
fcis-11237	135	2	.	.	PUNCT
fcis-11237	136	1	004	004	NUM
fcis-11237	136	2	.	.	PUNCT
fcis-11237	137	1	[	[	X
fcis-11237	137	2	4	4	X
fcis-11237	137	3	]	]	PUNCT
fcis-11237	137	4	yang	yang	PROPN
fcis-11237	137	5	qiuge	qiuge	PROPN
fcis-11237	137	6	,	,	PUNCT
fcis-11237	137	7	wu	wu	PROPN
fcis-11237	137	8	peng	peng	PROPN
fcis-11237	137	9	,	,	PUNCT
fcis-11237	137	10	yuan	yuan	PROPN
fcis-11237	137	11	jing	jing	NOUN
fcis-11237	137	12	et	et	PROPN
fcis-11237	137	13	al	al	PROPN
fcis-11237	137	14	.	.	PROPN
fcis-11237	137	15	research	research	NOUN
fcis-11237	137	16	on	on	ADP
fcis-11237	137	17	early	early	ADJ
fcis-11237	137	18	warning	warning	NOUN
fcis-11237	137	19	of	of	ADP
fcis-11237	137	20	students	student	NOUN
fcis-11237	137	21	'	'	PART
fcis-11237	137	22	learning	learn	VERB
fcis-11237	137	23	status	status	NOUN
fcis-11237	137	24	based	base	VERB
fcis-11237	137	25	on	on	ADP
fcis-11237	137	26	bp	bp	PROPN
fcis-11237	137	27	neural	neural	ADJ
fcis-11237	137	28	network	network	NOUN
fcis-11237	137	29	[	[	X
fcis-11237	137	30	j	j	X
fcis-11237	137	31	]	]	X
fcis-11237	137	32	.	.	PUNCT
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fcis-11237	138	2	and	and	CCONJ
fcis-11237	138	3	technology	technology	NOUN
fcis-11237	138	4	innovation	innovation	NOUN
fcis-11237	138	5	,	,	PUNCT
fcis-11237	138	6	2023	2023	NUM
fcis-11237	138	7	(	(	PUNCT
fcis-11237	138	8	20	20	NUM
fcis-11237	138	9	):	):	PUNCT
fcis-11237	138	10	133137	133137	NUM
fcis-11237	138	11	.	.	PUNCT
fcis-11237	139	1	[	[	X
fcis-11237	139	2	5	5	X
fcis-11237	139	3	]	]	PUNCT
fcis-11237	139	4	wang	wang	PROPN
fcis-11237	139	5	wei	wei	PROPN
fcis-11237	139	6	-	-	PROPN
fcis-11237	139	7	qiang	qiang	PROPN
fcis-11237	139	8	,	,	PUNCT
fcis-11237	139	9	yu	yu	PROPN
fcis-11237	139	10	jin	jin	PROPN
fcis-11237	139	11	-	-	PUNCT
fcis-11237	139	12	quan	quan	PROPN
fcis-11237	139	13	,	,	PUNCT
fcis-11237	139	14	zhou	zhou	PROPN
fcis-11237	139	15	yi	yi	PROPN
fcis-11237	139	16	-	-	PROPN
fcis-11237	139	17	he	he	PRON
fcis-11237	139	18	et	et	PROPN
fcis-11237	139	19	al	al	PROPN
fcis-11237	139	20	.	.	PROPN
fcis-11237	139	21	vehicle	vehicle	NOUN
fcis-11237	139	22	speed	speed	NOUN
fcis-11237	139	23	prediction	prediction	NOUN
fcis-11237	139	24	based	base	VERB
fcis-11237	139	25	on	on	ADP
fcis-11237	139	26	bp	bp	PROPN
fcis-11237	139	27	-	-	PUNCT
fcis-11237	139	28	lstm	lstm	ADJ
fcis-11237	139	29	combined	combine	VERB
fcis-11237	139	30	neural	neural	ADJ
fcis-11237	139	31	network	network	NOUN
fcis-11237	139	32	model	model	NOUN
fcis-11237	140	1	[	[	X
fcis-11237	140	2	j	j	X
fcis-11237	140	3	]	]	X
fcis-11237	140	4	.	.	PUNCT
fcis-11237	141	1	intelligent	intelligent	ADJ
fcis-11237	141	2	computer	computer	NOUN
fcis-11237	141	3	and	and	CCONJ
fcis-11237	141	4	application,2022	application,2022	NOUN
fcis-11237	141	5	,	,	PUNCT
fcis-11237	141	6	12(06	12(06	NUM
fcis-11237	141	7	):	):	PUNCT
fcis-11237	141	8	54	54	NUM
fcis-11237	141	9	-	-	SYM
fcis-11237	141	10	59	59	NUM
fcis-11237	141	11	.	.	PUNCT