id	sid	tid	token	lemma	pos
fcis-10208	1	1	frontiers	frontier	NOUN
fcis-10208	1	2	in	in	ADP
fcis-10208	1	3	computing	computing	NOUN
fcis-10208	1	4	and	and	CCONJ
fcis-10208	1	5	intelligent	intelligent	ADJ
fcis-10208	1	6	systems	system	NOUN
fcis-10208	1	7	issn	issn	VERB
fcis-10208	1	8	:	:	PUNCT
fcis-10208	1	9	2832	2832	NUM
fcis-10208	1	10	-	-	SYM
fcis-10208	1	11	6024	6024	NUM
fcis-10208	1	12	|	|	NOUN
fcis-10208	1	13	vol	vol	NOUN
fcis-10208	1	14	.	.	PROPN
fcis-10208	2	1	4	4	NUM
fcis-10208	2	2	,	,	PUNCT
fcis-10208	2	3	no	no	INTJ
fcis-10208	2	4	.	.	NOUN
fcis-10208	2	5	2	2	NUM
fcis-10208	2	6	,	,	PUNCT
fcis-10208	2	7	2023	2023	NUM
fcis-10208	2	8	68	68	NUM
fcis-10208	2	9	lstm	lstm	NOUN
fcis-10208	2	10	-	-	PUNCT
fcis-10208	2	11	based	base	VERB
fcis-10208	2	12	stock	stock	NOUN
fcis-10208	2	13	price	price	NOUN
fcis-10208	2	14	prediction	prediction	NOUN
fcis-10208	2	15	hongwei	hongwei	PROPN
fcis-10208	2	16	lu	lu	PROPN
fcis-10208	2	17	*	*	PUNCT
fcis-10208	2	18	college	college	NOUN
fcis-10208	2	19	of	of	ADP
fcis-10208	2	20	computer	computer	NOUN
fcis-10208	2	21	science	science	PROPN
fcis-10208	2	22	,	,	PUNCT
fcis-10208	2	23	chengdu	chengdu	PROPN
fcis-10208	2	24	university	university	PROPN
fcis-10208	2	25	,	,	PUNCT
fcis-10208	2	26	chengdu	chengdu	PROPN
fcis-10208	2	27	,	,	PUNCT
fcis-10208	2	28	610100	610100	NUM
fcis-10208	2	29	,	,	PUNCT
fcis-10208	2	30	china	china	PROPN
fcis-10208	2	31	*	*	PUNCT
fcis-10208	2	32	corresponding	correspond	VERB
fcis-10208	2	33	author	author	NOUN
fcis-10208	2	34	email	email	NOUN
fcis-10208	2	35	:	:	PUNCT
fcis-10208	2	36	hongweiluhappy@gmail.com	hongweiluhappy@gmail.com	X
fcis-10208	3	1	abstract	abstract	ADJ
fcis-10208	3	2	:	:	PUNCT
fcis-10208	3	3	predicting	predict	VERB
fcis-10208	3	4	stock	stock	NOUN
fcis-10208	3	5	prices	price	NOUN
fcis-10208	3	6	is	be	AUX
fcis-10208	3	7	a	a	DET
fcis-10208	3	8	job	job	NOUN
fcis-10208	3	9	that	that	PRON
fcis-10208	3	10	researchers	researcher	NOUN
fcis-10208	3	11	and	and	CCONJ
fcis-10208	3	12	analysts	analyst	NOUN
fcis-10208	3	13	have	have	AUX
fcis-10208	3	14	been	be	AUX
fcis-10208	3	15	working	work	VERB
fcis-10208	3	16	on	on	ADP
fcis-10208	3	17	for	for	ADP
fcis-10208	3	18	many	many	ADJ
fcis-10208	3	19	years	year	NOUN
fcis-10208	3	20	.	.	PUNCT
fcis-10208	4	1	investors	investor	NOUN
fcis-10208	4	2	have	have	AUX
fcis-10208	4	3	shown	show	VERB
fcis-10208	4	4	great	great	ADJ
fcis-10208	4	5	interest	interest	NOUN
fcis-10208	4	6	in	in	ADP
fcis-10208	4	7	this	this	DET
fcis-10208	4	8	area	area	NOUN
fcis-10208	4	9	so	so	SCONJ
fcis-10208	4	10	that	that	SCONJ
fcis-10208	4	11	they	they	PRON
fcis-10208	4	12	can	can	AUX
fcis-10208	4	13	better	well	ADV
fcis-10208	4	14	manage	manage	VERB
fcis-10208	4	15	their	their	PRON
fcis-10208	4	16	assets	asset	NOUN
fcis-10208	4	17	.	.	PUNCT
fcis-10208	5	1	accurately	accurately	ADV
fcis-10208	5	2	predicting	predict	VERB
fcis-10208	5	3	changes	change	NOUN
fcis-10208	5	4	in	in	ADP
fcis-10208	5	5	stock	stock	NOUN
fcis-10208	5	6	prices	price	NOUN
fcis-10208	5	7	in	in	ADP
fcis-10208	5	8	the	the	DET
fcis-10208	5	9	market	market	NOUN
fcis-10208	5	10	can	can	AUX
fcis-10208	5	11	generate	generate	VERB
fcis-10208	5	12	huge	huge	ADJ
fcis-10208	5	13	economic	economic	ADJ
fcis-10208	5	14	benefits	benefit	NOUN
fcis-10208	5	15	.	.	PUNCT
fcis-10208	6	1	in	in	ADP
fcis-10208	6	2	view	view	NOUN
fcis-10208	6	3	of	of	ADP
fcis-10208	6	4	the	the	DET
fcis-10208	6	5	high	high	ADJ
fcis-10208	6	6	noise	noise	NOUN
fcis-10208	6	7	,	,	PUNCT
fcis-10208	6	8	nonlinearity	nonlinearity	NOUN
fcis-10208	6	9	and	and	CCONJ
fcis-10208	6	10	non	non	ADJ
fcis-10208	6	11	-	-	NOUN
fcis-10208	6	12	stationarity	stationarity	NOUN
fcis-10208	6	13	of	of	ADP
fcis-10208	6	14	stock	stock	NOUN
fcis-10208	6	15	price	price	NOUN
fcis-10208	6	16	data	datum	NOUN
fcis-10208	6	17	,	,	PUNCT
fcis-10208	6	18	which	which	PRON
fcis-10208	6	19	makes	make	VERB
fcis-10208	6	20	it	it	PRON
fcis-10208	6	21	very	very	ADV
fcis-10208	6	22	difficult	difficult	ADJ
fcis-10208	6	23	to	to	PART
fcis-10208	6	24	accurately	accurately	ADV
fcis-10208	6	25	predict	predict	VERB
fcis-10208	6	26	the	the	DET
fcis-10208	6	27	stock	stock	NOUN
fcis-10208	6	28	price	price	NOUN
fcis-10208	6	29	,	,	PUNCT
fcis-10208	6	30	this	this	DET
fcis-10208	6	31	paper	paper	NOUN
fcis-10208	6	32	intends	intend	VERB
fcis-10208	6	33	to	to	PART
fcis-10208	6	34	use	use	VERB
fcis-10208	6	35	the	the	DET
fcis-10208	6	36	long	long	ADV
fcis-10208	6	37	-	-	PUNCT
fcis-10208	6	38	short	short	ADJ
fcis-10208	6	39	-	-	PUNCT
fcis-10208	6	40	term	term	NOUN
fcis-10208	6	41	memory	memory	NOUN
fcis-10208	6	42	network	network	NOUN
fcis-10208	6	43	(	(	PUNCT
fcis-10208	6	44	long	long	ADJ
fcis-10208	6	45	short	short	ADJ
fcis-10208	6	46	-	-	PUNCT
fcis-10208	6	47	term	term	NOUN
fcis-10208	6	48	memory	memory	NOUN
fcis-10208	6	49	,	,	PUNCT
fcis-10208	6	50	lstm	lstm	ADJ
fcis-10208	6	51	)	)	PUNCT
fcis-10208	6	52	recurrent	recurrent	ADJ
fcis-10208	6	53	neural	neural	ADJ
fcis-10208	6	54	network	network	NOUN
fcis-10208	6	55	(	(	PUNCT
fcis-10208	6	56	rnn	rnn	PROPN
fcis-10208	6	57	)	)	PUNCT
fcis-10208	6	58	architecture	architecture	NOUN
fcis-10208	6	59	to	to	PART
fcis-10208	6	60	establish	establish	VERB
fcis-10208	6	61	a	a	DET
fcis-10208	6	62	model	model	NOUN
fcis-10208	6	63	that	that	PRON
fcis-10208	6	64	predicts	predict	VERB
fcis-10208	6	65	the	the	DET
fcis-10208	6	66	future	future	ADJ
fcis-10208	6	67	value	value	NOUN
fcis-10208	6	68	of	of	ADP
fcis-10208	6	69	a	a	DET
fcis-10208	6	70	stock	stock	NOUN
fcis-10208	6	71	.	.	PUNCT
fcis-10208	7	1	keywords	keyword	NOUN
fcis-10208	7	2	:	:	PUNCT
fcis-10208	7	3	stock	stock	NOUN
fcis-10208	7	4	market	market	NOUN
fcis-10208	7	5	;	;	PUNCT
fcis-10208	7	6	recurrent	recurrent	ADJ
fcis-10208	7	7	neural	neural	ADJ
fcis-10208	7	8	network	network	NOUN
fcis-10208	7	9	;	;	PUNCT
fcis-10208	7	10	long	long	ADJ
fcis-10208	7	11	short	short	ADJ
fcis-10208	7	12	-	-	PUNCT
fcis-10208	7	13	term	term	NOUN
fcis-10208	7	14	memory	memory	NOUN
fcis-10208	7	15	.	.	PUNCT
fcis-10208	8	1	1	1	X
fcis-10208	8	2	.	.	X
fcis-10208	8	3	introduction	introduction	NOUN
fcis-10208	8	4	1.1	1.1	NUM
fcis-10208	8	5	.	.	PUNCT
fcis-10208	9	1	research	research	NOUN
fcis-10208	9	2	background	background	NOUN
fcis-10208	9	3	with	with	ADP
fcis-10208	9	4	the	the	DET
fcis-10208	9	5	continuous	continuous	ADJ
fcis-10208	9	6	development	development	NOUN
fcis-10208	9	7	of	of	ADP
fcis-10208	9	8	computer	computer	NOUN
fcis-10208	9	9	technology	technology	NOUN
fcis-10208	9	10	and	and	CCONJ
fcis-10208	9	11	the	the	DET
fcis-10208	9	12	advent	advent	NOUN
fcis-10208	9	13	of	of	ADP
fcis-10208	9	14	the	the	DET
fcis-10208	9	15	era	era	NOUN
fcis-10208	9	16	of	of	ADP
fcis-10208	9	17	big	big	ADJ
fcis-10208	9	18	data	datum	NOUN
fcis-10208	9	19	,	,	PUNCT
fcis-10208	9	20	data	datum	NOUN
fcis-10208	9	21	acquisition	acquisition	NOUN
fcis-10208	9	22	is	be	AUX
fcis-10208	9	23	easier	easy	ADJ
fcis-10208	9	24	,	,	PUNCT
fcis-10208	9	25	the	the	DET
fcis-10208	9	26	data	data	NOUN
fcis-10208	9	27	management	management	NOUN
fcis-10208	9	28	system	system	NOUN
fcis-10208	9	29	is	be	AUX
fcis-10208	9	30	more	more	ADV
fcis-10208	9	31	perfect	perfect	ADJ
fcis-10208	9	32	,	,	PUNCT
fcis-10208	9	33	and	and	CCONJ
fcis-10208	9	34	the	the	DET
fcis-10208	9	35	data	datum	NOUN
fcis-10208	9	36	quality	quality	NOUN
fcis-10208	9	37	is	be	AUX
fcis-10208	9	38	constantly	constantly	ADV
fcis-10208	9	39	improving	improve	VERB
fcis-10208	9	40	[	[	X
fcis-10208	9	41	1	1	NUM
fcis-10208	9	42	]	]	PUNCT
fcis-10208	9	43	.	.	PUNCT
fcis-10208	10	1	financial	financial	ADJ
fcis-10208	10	2	data	data	PROPN
fcis-10208	10	3	research	research	NOUN
fcis-10208	10	4	is	be	AUX
fcis-10208	10	5	also	also	ADV
fcis-10208	10	6	becoming	become	VERB
fcis-10208	10	7	more	more	ADV
fcis-10208	10	8	mature	mature	ADJ
fcis-10208	10	9	.	.	PUNCT
fcis-10208	11	1	in	in	ADP
fcis-10208	11	2	the	the	DET
fcis-10208	11	3	long	long	ADJ
fcis-10208	11	4	-	-	PUNCT
fcis-10208	11	5	term	term	NOUN
fcis-10208	11	6	research	research	NOUN
fcis-10208	11	7	and	and	CCONJ
fcis-10208	11	8	exploration	exploration	NOUN
fcis-10208	11	9	,	,	PUNCT
fcis-10208	11	10	people	people	NOUN
fcis-10208	11	11	found	find	VERB
fcis-10208	11	12	that	that	SCONJ
fcis-10208	11	13	financial	financial	ADJ
fcis-10208	11	14	data	datum	NOUN
fcis-10208	11	15	does	do	AUX
fcis-10208	11	16	not	not	PART
fcis-10208	11	17	conform	conform	VERB
fcis-10208	11	18	to	to	ADP
fcis-10208	11	19	the	the	DET
fcis-10208	11	20	normal	normal	ADJ
fcis-10208	11	21	distribution	distribution	NOUN
fcis-10208	11	22	commonly	commonly	ADV
fcis-10208	11	23	used	use	VERB
fcis-10208	11	24	in	in	ADP
fcis-10208	11	25	theoretical	theoretical	ADJ
fcis-10208	11	26	research	research	NOUN
fcis-10208	11	27	,	,	PUNCT
fcis-10208	11	28	but	but	CCONJ
fcis-10208	11	29	has	have	VERB
fcis-10208	11	30	nonlinear	nonlinear	ADJ
fcis-10208	11	31	characteristics	characteristic	NOUN
fcis-10208	11	32	.	.	PUNCT
fcis-10208	12	1	the	the	DET
fcis-10208	12	2	rise	rise	NOUN
fcis-10208	12	3	of	of	ADP
fcis-10208	12	4	machine	machine	NOUN
fcis-10208	12	5	learning	learning	NOUN
fcis-10208	12	6	has	have	AUX
fcis-10208	12	7	opened	open	VERB
fcis-10208	12	8	up	up	ADP
fcis-10208	12	9	a	a	DET
fcis-10208	12	10	path	path	NOUN
fcis-10208	12	11	for	for	ADP
fcis-10208	12	12	solving	solve	VERB
fcis-10208	12	13	nonlinear	nonlinear	ADJ
fcis-10208	12	14	problems	problem	NOUN
fcis-10208	12	15	.	.	PUNCT
fcis-10208	13	1	machine	machine	NOUN
fcis-10208	13	2	learning	learning	NOUN
fcis-10208	13	3	models	model	NOUN
fcis-10208	13	4	are	be	AUX
fcis-10208	13	5	different	different	ADJ
fcis-10208	13	6	from	from	ADP
fcis-10208	13	7	traditional	traditional	ADJ
fcis-10208	13	8	quantitative	quantitative	ADJ
fcis-10208	13	9	models	model	NOUN
fcis-10208	13	10	.	.	PUNCT
fcis-10208	14	1	by	by	ADP
fcis-10208	14	2	imitating	imitate	VERB
fcis-10208	14	3	the	the	DET
fcis-10208	14	4	structure	structure	NOUN
fcis-10208	14	5	of	of	ADP
fcis-10208	14	6	neurons	neuron	NOUN
fcis-10208	14	7	in	in	ADP
fcis-10208	14	8	the	the	DET
fcis-10208	14	9	human	human	ADJ
fcis-10208	14	10	brain	brain	NOUN
fcis-10208	14	11	,	,	PUNCT
fcis-10208	14	12	machine	machine	NOUN
fcis-10208	14	13	learning	learning	NOUN
fcis-10208	14	14	models	model	NOUN
fcis-10208	14	15	try	try	VERB
fcis-10208	14	16	to	to	PART
fcis-10208	14	17	reproduce	reproduce	VERB
fcis-10208	14	18	the	the	DET
fcis-10208	14	19	way	way	NOUN
fcis-10208	14	20	humans	human	NOUN
fcis-10208	14	21	perceive	perceive	VERB
fcis-10208	14	22	the	the	DET
fcis-10208	14	23	world	world	NOUN
fcis-10208	14	24	.	.	PUNCT
fcis-10208	15	1	a	a	DET
fcis-10208	15	2	neural	neural	ADJ
fcis-10208	15	3	network	network	NOUN
fcis-10208	15	4	is	be	AUX
fcis-10208	15	5	essentially	essentially	ADV
fcis-10208	15	6	a	a	DET
fcis-10208	15	7	collection	collection	NOUN
fcis-10208	15	8	of	of	ADP
fcis-10208	15	9	thousands	thousand	NOUN
fcis-10208	15	10	of	of	ADP
fcis-10208	15	11	linear	linear	ADJ
fcis-10208	15	12	and	and	CCONJ
fcis-10208	15	13	non	non	ADJ
fcis-10208	15	14	-	-	ADJ
fcis-10208	15	15	linear	linear	ADJ
fcis-10208	15	16	functions	function	NOUN
fcis-10208	15	17	,	,	PUNCT
fcis-10208	15	18	through	through	ADP
fcis-10208	15	19	the	the	DET
fcis-10208	15	20	joint	joint	ADJ
fcis-10208	15	21	action	action	NOUN
fcis-10208	15	22	of	of	ADP
fcis-10208	15	23	these	these	DET
fcis-10208	15	24	functions	function	NOUN
fcis-10208	15	25	to	to	PART
fcis-10208	15	26	analyse	analyse	VERB
fcis-10208	15	27	the	the	DET
fcis-10208	15	28	distribution	distribution	NOUN
fcis-10208	15	29	of	of	ADP
fcis-10208	15	30	data	datum	NOUN
fcis-10208	15	31	.	.	PUNCT
fcis-10208	16	1	1.2	1.2	NUM
fcis-10208	16	2	.	.	PUNCT
fcis-10208	16	3	research	research	NOUN
fcis-10208	16	4	significance	significance	NOUN
fcis-10208	16	5	in	in	ADP
fcis-10208	16	6	the	the	DET
fcis-10208	16	7	network	network	NOUN
fcis-10208	16	8	of	of	ADP
fcis-10208	16	9	deep	deep	ADJ
fcis-10208	16	10	learning	learning	NOUN
fcis-10208	16	11	,	,	PUNCT
fcis-10208	16	12	rnn	rnn	PROPN
fcis-10208	16	13	(	(	PUNCT
fcis-10208	16	14	recurrent	recurrent	ADJ
fcis-10208	16	15	neural	neural	ADJ
fcis-10208	16	16	network	network	NOUN
fcis-10208	16	17	)	)	PUNCT
fcis-10208	16	18	has	have	VERB
fcis-10208	16	19	the	the	DET
fcis-10208	16	20	concept	concept	NOUN
fcis-10208	16	21	of	of	ADP
fcis-10208	16	22	time	time	NOUN
fcis-10208	16	23	series	series	NOUN
fcis-10208	16	24	with	with	ADP
fcis-10208	16	25	its	its	PRON
fcis-10208	16	26	unique	unique	ADJ
fcis-10208	16	27	selfconnection	selfconnection	NOUN
fcis-10208	16	28	structure	structure	NOUN
fcis-10208	16	29	,	,	PUNCT
fcis-10208	16	30	which	which	PRON
fcis-10208	16	31	can	can	AUX
fcis-10208	16	32	be	be	AUX
fcis-10208	16	33	used	use	VERB
fcis-10208	16	34	to	to	PART
fcis-10208	16	35	process	process	VERB
fcis-10208	16	36	time	time	NOUN
fcis-10208	16	37	series	series	PROPN
fcis-10208	16	38	data	datum	NOUN
fcis-10208	16	39	and	and	CCONJ
fcis-10208	16	40	automatically	automatically	ADV
fcis-10208	16	41	learn	learn	VERB
fcis-10208	16	42	the	the	DET
fcis-10208	16	43	time	time	NOUN
fcis-10208	16	44	relationship	relationship	NOUN
fcis-10208	16	45	between	between	ADP
fcis-10208	16	46	data	datum	NOUN
fcis-10208	16	47	.	.	PUNCT
fcis-10208	17	1	however	however	ADV
fcis-10208	17	2	,	,	PUNCT
fcis-10208	17	3	there	there	PRON
fcis-10208	17	4	will	will	AUX
fcis-10208	17	5	be	be	AUX
fcis-10208	17	6	two	two	NUM
fcis-10208	17	7	major	major	ADJ
fcis-10208	17	8	problems	problem	NOUN
fcis-10208	17	9	in	in	ADP
fcis-10208	17	10	the	the	DET
fcis-10208	17	11	training	training	NOUN
fcis-10208	17	12	process	process	NOUN
fcis-10208	17	13	of	of	ADP
fcis-10208	17	14	rnn	rnn	NOUN
fcis-10208	17	15	hidden	hide	VERB
fcis-10208	17	16	layer	layer	NOUN
fcis-10208	17	17	,	,	PUNCT
fcis-10208	17	18	namely	namely	ADV
fcis-10208	17	19	gradient	gradient	ADJ
fcis-10208	17	20	explosion	explosion	NOUN
fcis-10208	17	21	and	and	CCONJ
fcis-10208	17	22	gradient	gradient	NOUN
fcis-10208	17	23	disappearance	disappearance	NOUN
fcis-10208	17	24	,	,	PUNCT
fcis-10208	17	25	so	so	ADV
fcis-10208	17	26	rnn	rnn	NOUN
fcis-10208	17	27	is	be	AUX
fcis-10208	17	28	not	not	PART
fcis-10208	17	29	suitable	suitable	ADJ
fcis-10208	17	30	for	for	ADP
fcis-10208	17	31	training	training	NOUN
fcis-10208	17	32	longer	long	ADJ
fcis-10208	17	33	time	time	NOUN
fcis-10208	17	34	series	series	PROPN
fcis-10208	17	35	data	data	PROPN
fcis-10208	17	36	.	.	PUNCT
fcis-10208	18	1	lstm	lstm	NOUN
fcis-10208	18	2	(	(	PUNCT
fcis-10208	18	3	long	long	ADJ
fcis-10208	18	4	short	short	ADJ
fcis-10208	18	5	-	-	PUNCT
fcis-10208	18	6	term	term	NOUN
fcis-10208	18	7	memory	memory	NOUN
fcis-10208	18	8	neural	neural	ADJ
fcis-10208	18	9	network	network	NOUN
fcis-10208	18	10	)	)	PUNCT
fcis-10208	18	11	is	be	AUX
fcis-10208	18	12	improved	improve	VERB
fcis-10208	18	13	from	from	ADP
fcis-10208	18	14	rnn	rnn	PROPN
fcis-10208	18	15	.	.	PUNCT
fcis-10208	19	1	its	its	PRON
fcis-10208	19	2	hidden	hidden	ADJ
fcis-10208	19	3	layer	layer	NOUN
fcis-10208	19	4	adds	add	VERB
fcis-10208	19	5	a	a	DET
fcis-10208	19	6	gate	gate	NOUN
fcis-10208	19	7	structure	structure	NOUN
fcis-10208	19	8	to	to	PART
fcis-10208	19	9	filter	filter	VERB
fcis-10208	19	10	information	information	NOUN
fcis-10208	19	11	,	,	PUNCT
fcis-10208	19	12	which	which	PRON
fcis-10208	19	13	can	can	AUX
fcis-10208	19	14	alleviate	alleviate	VERB
fcis-10208	19	15	the	the	DET
fcis-10208	19	16	phenomenon	phenomenon	NOUN
fcis-10208	19	17	of	of	ADP
fcis-10208	19	18	gradient	gradient	ADJ
fcis-10208	19	19	disappearance	disappearance	NOUN
fcis-10208	19	20	and	and	CCONJ
fcis-10208	19	21	gradient	gradient	ADJ
fcis-10208	19	22	explosion	explosion	NOUN
fcis-10208	19	23	[	[	X
fcis-10208	19	24	2	2	NUM
fcis-10208	19	25	]	]	PUNCT
fcis-10208	19	26	.	.	PUNCT
fcis-10208	20	1	1.3	1.3	NUM
fcis-10208	20	2	.	.	PUNCT
fcis-10208	21	1	literature	literature	PROPN
fcis-10208	21	2	review	review	PROPN
fcis-10208	21	3	theoretically	theoretically	ADV
fcis-10208	21	4	,	,	PUNCT
fcis-10208	21	5	there	there	PRON
fcis-10208	21	6	are	be	VERB
fcis-10208	21	7	three	three	NUM
fcis-10208	21	8	classic	classic	ADJ
fcis-10208	21	9	theories	theory	NOUN
fcis-10208	21	10	recognized	recognize	VERB
fcis-10208	21	11	by	by	ADP
fcis-10208	21	12	investors	investor	NOUN
fcis-10208	21	13	in	in	ADP
fcis-10208	21	14	predicting	predict	VERB
fcis-10208	21	15	the	the	DET
fcis-10208	21	16	trend	trend	NOUN
fcis-10208	21	17	of	of	ADP
fcis-10208	21	18	stock	stock	NOUN
fcis-10208	21	19	prices	price	NOUN
fcis-10208	21	20	,	,	PUNCT
fcis-10208	21	21	namely	namely	ADV
fcis-10208	21	22	efficient	efficient	ADJ
fcis-10208	21	23	market	market	NOUN
fcis-10208	21	24	hypothesis	hypothesis	NOUN
fcis-10208	21	25	,	,	PUNCT
fcis-10208	21	26	behavioral	behavioral	ADJ
fcis-10208	21	27	finance	finance	NOUN
fcis-10208	21	28	theory	theory	NOUN
fcis-10208	21	29	,	,	PUNCT
fcis-10208	21	30	and	and	CCONJ
fcis-10208	21	31	adaptive	adaptive	ADJ
fcis-10208	21	32	market	market	NOUN
fcis-10208	21	33	.	.	PUNCT
fcis-10208	22	1	related	relate	VERB
fcis-10208	22	2	studies	study	NOUN
fcis-10208	22	3	on	on	ADP
fcis-10208	22	4	stock	stock	NOUN
fcis-10208	22	5	price	price	NOUN
fcis-10208	22	6	trend	trend	NOUN
fcis-10208	22	7	forecasting	forecasting	NOUN
fcis-10208	22	8	are	be	AUX
fcis-10208	22	9	described	describe	VERB
fcis-10208	22	10	.	.	PUNCT
fcis-10208	23	1	in	in	ADP
fcis-10208	23	2	terms	term	NOUN
fcis-10208	23	3	of	of	ADP
fcis-10208	23	4	means	mean	NOUN
fcis-10208	23	5	,	,	PUNCT
fcis-10208	23	6	the	the	DET
fcis-10208	23	7	earliest	early	ADJ
fcis-10208	23	8	methods	method	NOUN
fcis-10208	23	9	based	base	VERB
fcis-10208	23	10	on	on	ADP
fcis-10208	23	11	econometric	econometric	ADJ
fcis-10208	23	12	models	model	NOUN
fcis-10208	23	13	include	include	VERB
fcis-10208	23	14	arima	arima	PROPN
fcis-10208	23	15	model	model	NOUN
fcis-10208	23	16	,	,	PUNCT
fcis-10208	23	17	garch	garch	NOUN
fcis-10208	23	18	model	model	NOUN
fcis-10208	23	19	and	and	CCONJ
fcis-10208	23	20	so	so	ADV
fcis-10208	23	21	on	on	ADV
fcis-10208	23	22	.	.	PUNCT
fcis-10208	24	1	introduce	introduce	VERB
fcis-10208	24	2	machine	machine	NOUN
fcis-10208	24	3	learning	learning	NOUN
fcis-10208	24	4	and	and	CCONJ
fcis-10208	24	5	deep	deep	ADJ
fcis-10208	24	6	learning	learning	NOUN
fcis-10208	24	7	methods	method	NOUN
fcis-10208	24	8	later	later	ADV
fcis-10208	24	9	,	,	PUNCT
fcis-10208	24	10	such	such	ADJ
fcis-10208	24	11	as	as	ADP
fcis-10208	24	12	gru	gru	PROPN
fcis-10208	24	13	,	,	PUNCT
fcis-10208	24	14	lstm	lstm	NOUN
fcis-10208	24	15	models	model	NOUN
fcis-10208	24	16	,	,	PUNCT
fcis-10208	24	17	etc	etc	X
fcis-10208	24	18	[	[	X
fcis-10208	24	19	3	3	NUM
fcis-10208	24	20	]	]	PUNCT
fcis-10208	24	21	.	.	PUNCT
fcis-10208	25	1	for	for	ADP
fcis-10208	25	2	stock	stock	NOUN
fcis-10208	25	3	price	price	NOUN
fcis-10208	25	4	prediction	prediction	NOUN
fcis-10208	25	5	.	.	PUNCT
fcis-10208	26	1	in	in	ADP
fcis-10208	26	2	the	the	DET
fcis-10208	26	3	end	end	NOUN
fcis-10208	26	4	,	,	PUNCT
fcis-10208	26	5	the	the	DET
fcis-10208	26	6	optimization	optimization	NOUN
fcis-10208	26	7	of	of	ADP
fcis-10208	26	8	the	the	DET
fcis-10208	26	9	model	model	NOUN
fcis-10208	26	10	based	base	VERB
fcis-10208	26	11	on	on	ADP
fcis-10208	26	12	the	the	DET
fcis-10208	26	13	method	method	NOUN
fcis-10208	26	14	of	of	ADP
fcis-10208	26	15	deep	deep	ADJ
fcis-10208	26	16	learning	learning	NOUN
fcis-10208	26	17	,	,	PUNCT
fcis-10208	26	18	and	and	CCONJ
fcis-10208	26	19	the	the	DET
fcis-10208	26	20	attempt	attempt	NOUN
fcis-10208	26	21	to	to	PART
fcis-10208	26	22	improve	improve	VERB
fcis-10208	26	23	the	the	DET
fcis-10208	26	24	prediction	prediction	NOUN
fcis-10208	26	25	accuracy	accuracy	NOUN
fcis-10208	26	26	of	of	ADP
fcis-10208	26	27	the	the	DET
fcis-10208	26	28	model	model	NOUN
fcis-10208	26	29	by	by	ADP
fcis-10208	26	30	fusing	fuse	VERB
fcis-10208	26	31	stock	stock	NOUN
fcis-10208	26	32	data	datum	NOUN
fcis-10208	26	33	from	from	ADP
fcis-10208	26	34	different	different	ADJ
fcis-10208	26	35	sources	source	NOUN
fcis-10208	26	36	are	be	AUX
fcis-10208	26	37	elaborated	elaborate	VERB
fcis-10208	26	38	in	in	ADP
fcis-10208	26	39	detail	detail	NOUN
fcis-10208	26	40	.	.	PUNCT
fcis-10208	27	1	in	in	ADP
fcis-10208	27	2	recent	recent	ADJ
fcis-10208	27	3	years	year	NOUN
fcis-10208	27	4	,	,	PUNCT
fcis-10208	27	5	with	with	ADP
fcis-10208	27	6	the	the	DET
fcis-10208	27	7	rise	rise	NOUN
fcis-10208	27	8	of	of	ADP
fcis-10208	27	9	machine	machine	NOUN
fcis-10208	27	10	learning	learning	NOUN
fcis-10208	27	11	and	and	CCONJ
fcis-10208	27	12	deep	deep	ADJ
fcis-10208	27	13	learning	learning	NOUN
fcis-10208	27	14	,	,	PUNCT
fcis-10208	27	15	many	many	ADJ
fcis-10208	27	16	researchers	researcher	NOUN
fcis-10208	27	17	have	have	AUX
fcis-10208	27	18	begun	begin	VERB
fcis-10208	27	19	to	to	PART
fcis-10208	27	20	focus	focus	VERB
fcis-10208	27	21	on	on	ADP
fcis-10208	27	22	using	use	VERB
fcis-10208	27	23	new	new	ADJ
fcis-10208	27	24	technologies	technology	NOUN
fcis-10208	27	25	to	to	PART
fcis-10208	27	26	study	study	VERB
fcis-10208	27	27	problems	problem	NOUN
fcis-10208	27	28	.	.	PUNCT
fcis-10208	28	1	lstm	lstm	NOUN
fcis-10208	28	2	is	be	AUX
fcis-10208	28	3	an	an	DET
fcis-10208	28	4	improvement	improvement	NOUN
fcis-10208	28	5	to	to	PART
fcis-10208	28	6	rnn	rnn	VERB
fcis-10208	28	7	(	(	PUNCT
fcis-10208	28	8	cyclic	cyclic	ADJ
fcis-10208	28	9	neural	neural	ADJ
fcis-10208	28	10	network	network	NOUN
fcis-10208	28	11	)	)	PUNCT
fcis-10208	28	12	,	,	PUNCT
fcis-10208	28	13	adding	add	VERB
fcis-10208	28	14	a	a	DET
fcis-10208	28	15	"	"	PUNCT
fcis-10208	28	16	gate	gate	NOUN
fcis-10208	28	17	"	"	PUNCT
fcis-10208	28	18	structure	structure	NOUN
fcis-10208	28	19	in	in	ADP
fcis-10208	28	20	the	the	DET
fcis-10208	28	21	hidden	hide	VERB
fcis-10208	28	22	layer	layer	NOUN
fcis-10208	28	23	to	to	PART
fcis-10208	28	24	reduce	reduce	VERB
fcis-10208	28	25	the	the	DET
fcis-10208	28	26	probability	probability	NOUN
fcis-10208	28	27	of	of	ADP
fcis-10208	28	28	gradient	gradient	ADJ
fcis-10208	28	29	disappearance	disappearance	NOUN
fcis-10208	28	30	and	and	CCONJ
fcis-10208	28	31	gradient	gradient	NOUN
fcis-10208	28	32	explosion	explosion	NOUN
fcis-10208	28	33	.	.	PUNCT
fcis-10208	29	1	with	with	ADP
fcis-10208	29	2	the	the	DET
fcis-10208	29	3	deepening	deepening	NOUN
fcis-10208	29	4	of	of	ADP
fcis-10208	29	5	research	research	NOUN
fcis-10208	29	6	,	,	PUNCT
fcis-10208	29	7	especially	especially	ADV
fcis-10208	29	8	the	the	DET
fcis-10208	29	9	maturity	maturity	NOUN
fcis-10208	29	10	of	of	ADP
fcis-10208	29	11	natural	natural	ADJ
fcis-10208	29	12	language	language	NOUN
fcis-10208	29	13	processing	processing	NOUN
fcis-10208	29	14	technology	technology	NOUN
fcis-10208	29	15	,	,	PUNCT
fcis-10208	29	16	researchers	researcher	NOUN
fcis-10208	29	17	began	begin	VERB
fcis-10208	29	18	to	to	PART
fcis-10208	29	19	try	try	VERB
fcis-10208	29	20	to	to	PART
fcis-10208	29	21	analyze	analyze	VERB
fcis-10208	29	22	stocks	stock	NOUN
fcis-10208	29	23	from	from	ADP
fcis-10208	29	24	other	other	ADJ
fcis-10208	29	25	aspects	aspect	NOUN
fcis-10208	29	26	[	[	X
fcis-10208	29	27	4	4	NUM
fcis-10208	29	28	]	]	PUNCT
fcis-10208	29	29	.	.	PUNCT
fcis-10208	30	1	1.4	1.4	NUM
fcis-10208	30	2	.	.	PUNCT
fcis-10208	30	3	research	research	NOUN
fcis-10208	30	4	content	content	NOUN
fcis-10208	30	5	and	and	CCONJ
fcis-10208	30	6	main	main	ADJ
fcis-10208	30	7	problems	problem	NOUN
fcis-10208	30	8	to	to	PART
fcis-10208	30	9	be	be	AUX
fcis-10208	30	10	solved	solve	VERB
fcis-10208	30	11	in	in	ADP
fcis-10208	30	12	this	this	DET
fcis-10208	30	13	paper	paper	NOUN
fcis-10208	30	14	(	(	PUNCT
fcis-10208	30	15	1	1	NUM
fcis-10208	30	16	)	)	PUNCT
fcis-10208	30	17	theoretical	theoretical	ADJ
fcis-10208	30	18	knowledge	knowledge	NOUN
fcis-10208	30	19	.	.	PUNCT
fcis-10208	31	1	familiar	familiar	ADJ
fcis-10208	31	2	with	with	ADP
fcis-10208	31	3	the	the	DET
fcis-10208	31	4	principle	principle	NOUN
fcis-10208	31	5	of	of	ADP
fcis-10208	31	6	lstm	lstm	PROPN
fcis-10208	31	7	.	.	PUNCT
fcis-10208	32	1	(	(	PUNCT
fcis-10208	32	2	2	2	NUM
fcis-10208	32	3	)	)	PUNCT
fcis-10208	32	4	feature	feature	NOUN
fcis-10208	32	5	selection	selection	NOUN
fcis-10208	32	6	.	.	PUNCT
fcis-10208	33	1	based	base	VERB
fcis-10208	33	2	on	on	ADP
fcis-10208	33	3	the	the	DET
fcis-10208	33	4	thermal	thermal	ADJ
fcis-10208	33	5	feature	feature	NOUN
fcis-10208	33	6	map	map	NOUN
fcis-10208	33	7	,	,	PUNCT
fcis-10208	33	8	the	the	DET
fcis-10208	33	9	feature	feature	NOUN
fcis-10208	33	10	evaluation	evaluation	NOUN
fcis-10208	33	11	of	of	ADP
fcis-10208	33	12	historical	historical	ADJ
fcis-10208	33	13	stock	stock	NOUN
fcis-10208	33	14	transaction	transaction	NOUN
fcis-10208	33	15	data	datum	NOUN
fcis-10208	33	16	is	be	AUX
fcis-10208	33	17	carried	carry	VERB
fcis-10208	33	18	out	out	ADP
fcis-10208	33	19	to	to	PART
fcis-10208	33	20	lay	lay	VERB
fcis-10208	33	21	a	a	DET
fcis-10208	33	22	theoretical	theoretical	ADJ
fcis-10208	33	23	foundation	foundation	NOUN
fcis-10208	33	24	for	for	ADP
fcis-10208	33	25	the	the	DET
fcis-10208	33	26	subsequent	subsequent	ADJ
fcis-10208	33	27	fusion	fusion	NOUN
fcis-10208	33	28	with	with	ADP
fcis-10208	33	29	stock	stock	NOUN
fcis-10208	33	30	data	datum	NOUN
fcis-10208	33	31	from	from	ADP
fcis-10208	33	32	other	other	ADJ
fcis-10208	33	33	sources	source	NOUN
fcis-10208	33	34	.	.	PUNCT
fcis-10208	34	1	(	(	PUNCT
fcis-10208	34	2	3	3	X
fcis-10208	34	3	)	)	PUNCT
fcis-10208	34	4	multi	multi	ADJ
fcis-10208	34	5	-	-	ADJ
fcis-10208	34	6	source	source	NOUN
fcis-10208	34	7	fusion	fusion	NOUN
fcis-10208	34	8	.	.	PUNCT
fcis-10208	35	1	start	start	VERB
fcis-10208	35	2	research	research	NOUN
fcis-10208	35	3	in	in	ADP
fcis-10208	35	4	the	the	DET
fcis-10208	35	5	intersecting	intersecting	ADJ
fcis-10208	35	6	fields	field	NOUN
fcis-10208	35	7	of	of	ADP
fcis-10208	35	8	finance	finance	NOUN
fcis-10208	35	9	and	and	CCONJ
fcis-10208	35	10	computer	computer	NOUN
fcis-10208	35	11	,	,	PUNCT
fcis-10208	35	12	and	and	CCONJ
fcis-10208	35	13	build	build	VERB
fcis-10208	35	14	an	an	DET
fcis-10208	35	15	lstm	lstm	ADJ
fcis-10208	35	16	stock	stock	NOUN
fcis-10208	35	17	price	price	NOUN
fcis-10208	35	18	prediction	prediction	NOUN
fcis-10208	35	19	model	model	NOUN
fcis-10208	35	20	based	base	VERB
fcis-10208	35	21	on	on	ADP
fcis-10208	35	22	multi	multi	ADJ
fcis-10208	35	23	-	-	ADJ
fcis-10208	35	24	source	source	NOUN
fcis-10208	35	25	data	datum	NOUN
fcis-10208	35	26	fusion	fusion	NOUN
fcis-10208	35	27	.	.	PUNCT
fcis-10208	36	1	(	(	PUNCT
fcis-10208	36	2	4	4	X
fcis-10208	36	3	)	)	PUNCT
fcis-10208	36	4	this	this	DET
fcis-10208	36	5	article	article	NOUN
fcis-10208	36	6	uses	use	VERB
fcis-10208	36	7	the	the	DET
fcis-10208	36	8	stock	stock	NOUN
fcis-10208	36	9	price	price	NOUN
fcis-10208	36	10	of	of	ADP
fcis-10208	36	11	jiangsu	jiangsu	PROPN
fcis-10208	36	12	subote	subote	PROPN
fcis-10208	36	13	new	new	PROPN
fcis-10208	36	14	material	material	PROPN
fcis-10208	36	15	co.	co.	PROPN
fcis-10208	36	16	,	,	PUNCT
fcis-10208	36	17	ltd	ltd	PROPN
fcis-10208	36	18	,	,	PUNCT
fcis-10208	36	19	and	and	CCONJ
fcis-10208	36	20	uses	use	VERB
fcis-10208	36	21	the	the	DET
fcis-10208	36	22	lstm	lstm	PROPN
fcis-10208	36	23	model	model	NOUN
fcis-10208	36	24	to	to	PART
fcis-10208	36	25	make	make	VERB
fcis-10208	36	26	predictions	prediction	NOUN
fcis-10208	36	27	.	.	PUNCT
fcis-10208	37	1	2	2	X
fcis-10208	37	2	.	.	X
fcis-10208	37	3	introduction	introduction	NOUN
fcis-10208	37	4	to	to	ADP
fcis-10208	37	5	lstm	lstm	PROPN
fcis-10208	37	6	model	model	NOUN
fcis-10208	37	7	2.1	2.1	NUM
fcis-10208	37	8	.	.	PUNCT
fcis-10208	38	1	lstm	lstm	ADJ
fcis-10208	38	2	neural	neural	ADJ
fcis-10208	38	3	network	network	NOUN
fcis-10208	38	4	in	in	ADP
fcis-10208	38	5	1997	1997	NUM
fcis-10208	38	6	,	,	PUNCT
fcis-10208	38	7	sepp	sepp	PROPN
fcis-10208	38	8	hochreiter	hochreiter	PROPN
fcis-10208	38	9	,	,	PUNCT
fcis-10208	38	10	jürgen	jürgen	PROPN
fcis-10208	38	11	schmidhuber	schmidhuber	PROPN
fcis-10208	38	12	and	and	CCONJ
fcis-10208	38	13	others	other	NOUN
fcis-10208	38	14	proposed	propose	VERB
fcis-10208	38	15	lstm	lstm	PROPN
fcis-10208	38	16	,	,	PUNCT
fcis-10208	38	17	the	the	DET
fcis-10208	38	18	long	long	ADJ
fcis-10208	38	19	short	short	ADJ
fcis-10208	38	20	-	-	PUNCT
fcis-10208	38	21	term	term	NOUN
fcis-10208	38	22	memory	memory	NOUN
fcis-10208	38	23	neural	neural	ADJ
fcis-10208	38	24	network	network	NOUN
fcis-10208	38	25	,	,	PUNCT
fcis-10208	38	26	to	to	PART
fcis-10208	38	27	solve	solve	VERB
fcis-10208	38	28	the	the	DET
fcis-10208	38	29	long	long	ADJ
fcis-10208	38	30	-	-	PUNCT
fcis-10208	38	31	term	term	NOUN
fcis-10208	38	32	dependence	dependence	NOUN
fcis-10208	38	33	phenomenon	phenomenon	NOUN
fcis-10208	38	34	in	in	ADP
fcis-10208	38	35	rnn	rnn	NOUN
fcis-10208	38	36	due	due	ADP
fcis-10208	38	37	to	to	ADP
fcis-10208	38	38	the	the	DET
fcis-10208	38	39	chain	chain	NOUN
fcis-10208	38	40	rule	rule	NOUN
fcis-10208	38	41	.	.	PUNCT
fcis-10208	39	1	in	in	ADP
fcis-10208	39	2	the	the	DET
fcis-10208	39	3	previous	previous	ADJ
fcis-10208	39	4	section	section	NOUN
fcis-10208	39	5	,	,	PUNCT
fcis-10208	39	6	we	we	PRON
fcis-10208	39	7	proposed	propose	VERB
fcis-10208	39	8	that	that	SCONJ
fcis-10208	39	9	rnn	rnn	VERB
fcis-10208	39	10	(	(	PUNCT
fcis-10208	39	11	recurrent	recurrent	ADJ
fcis-10208	39	12	neural	neural	ADJ
fcis-10208	39	13	network	network	NOUN
fcis-10208	39	14	)	)	PUNCT
fcis-10208	39	15	is	be	AUX
fcis-10208	39	16	prone	prone	ADJ
fcis-10208	39	17	to	to	ADP
fcis-10208	39	18	two	two	NUM
fcis-10208	39	19	major	major	ADJ
fcis-10208	39	20	phenomena	phenomenon	NOUN
fcis-10208	39	21	,	,	PUNCT
fcis-10208	39	22	namely	namely	ADV
fcis-10208	39	23	,	,	PUNCT
fcis-10208	39	24	gradient	gradient	ADJ
fcis-10208	39	25	disappearance	disappearance	NOUN
fcis-10208	39	26	and	and	CCONJ
fcis-10208	39	27	gradient	gradient	NOUN
fcis-10208	39	28	explosion	explosion	NOUN
fcis-10208	39	29	.	.	PUNCT
fcis-10208	40	1	and	and	CCONJ
fcis-10208	40	2	lstm	lstm	NOUN
fcis-10208	40	3	reduces	reduce	VERB
fcis-10208	40	4	the	the	DET
fcis-10208	40	5	possibility	possibility	NOUN
fcis-10208	40	6	of	of	ADP
fcis-10208	40	7	these	these	DET
fcis-10208	40	8	two	two	NUM
fcis-10208	40	9	phenomena	phenomenon	NOUN
fcis-10208	40	10	very	very	ADV
fcis-10208	40	11	well	well	ADV
fcis-10208	40	12	.	.	PUNCT
fcis-10208	41	1	this	this	DET
fcis-10208	41	2	section	section	NOUN
fcis-10208	41	3	first	first	ADV
fcis-10208	41	4	introduces	introduce	VERB
fcis-10208	41	5	the	the	DET
fcis-10208	41	6	network	network	NOUN
fcis-10208	41	7	structure	structure	NOUN
fcis-10208	41	8	and	and	CCONJ
fcis-10208	41	9	principle	principle	NOUN
fcis-10208	41	10	of	of	ADP
fcis-10208	41	11	lstm	lstm	NOUN
fcis-10208	41	12	,	,	PUNCT
fcis-10208	41	13	and	and	CCONJ
fcis-10208	41	14	then	then	ADV
fcis-10208	41	15	introduces	introduce	VERB
fcis-10208	41	16	the	the	DET
fcis-10208	41	17	parameter	parameter	NOUN
fcis-10208	41	18	learning	learn	VERB
fcis-10208	41	19	in	in	ADP
fcis-10208	41	20	lstm	lstm	NOUN
fcis-10208	41	21	.	.	PUNCT
fcis-10208	42	1	69	69	NUM
fcis-10208	43	1	the	the	DET
fcis-10208	43	2	basic	basic	ADJ
fcis-10208	43	3	structure	structure	NOUN
fcis-10208	43	4	diagram	diagram	NOUN
fcis-10208	43	5	of	of	ADP
fcis-10208	43	6	lstm	lstm	NOUN
fcis-10208	43	7	is	be	AUX
fcis-10208	43	8	shown	show	VERB
fcis-10208	43	9	in	in	ADP
fcis-10208	43	10	the	the	DET
fcis-10208	43	11	figure	figure	NOUN
fcis-10208	43	12	below	below	ADV
fcis-10208	43	13	.	.	PUNCT
fcis-10208	44	1	the	the	DET
fcis-10208	44	2	loop	loop	NOUN
fcis-10208	44	3	structure	structure	NOUN
fcis-10208	44	4	of	of	ADP
fcis-10208	44	5	lstm	lstm	NOUN
fcis-10208	44	6	is	be	AUX
fcis-10208	44	7	more	more	ADV
fcis-10208	44	8	complicated	complicated	ADJ
fcis-10208	44	9	,	,	PUNCT
fcis-10208	44	10	and	and	CCONJ
fcis-10208	44	11	a	a	DET
fcis-10208	44	12	gating	gate	VERB
fcis-10208	44	13	structure	structure	NOUN
fcis-10208	44	14	is	be	AUX
fcis-10208	44	15	added	add	VERB
fcis-10208	44	16	inside	inside	ADP
fcis-10208	44	17	it	it	PRON
fcis-10208	44	18	,	,	PUNCT
fcis-10208	44	19	that	that	ADV
fcis-10208	44	20	is	is	ADV
fcis-10208	44	21	,	,	PUNCT
fcis-10208	44	22	three	three	NUM
fcis-10208	44	23	gates	gate	NOUN
fcis-10208	44	24	(	(	PUNCT
fcis-10208	44	25	forgetting	forget	VERB
fcis-10208	44	26	gate	gate	NOUN
fcis-10208	44	27	,	,	PUNCT
fcis-10208	44	28	input	input	NOUN
fcis-10208	44	29	gate	gate	NOUN
fcis-10208	44	30	,	,	PUNCT
fcis-10208	44	31	output	output	NOUN
fcis-10208	44	32	gate	gate	NOUN
fcis-10208	44	33	)	)	PUNCT
fcis-10208	44	34	are	be	AUX
fcis-10208	44	35	added	add	VERB
fcis-10208	44	36	to	to	PART
fcis-10208	44	37	decide	decide	VERB
fcis-10208	44	38	which	which	DET
fcis-10208	44	39	information	information	NOUN
fcis-10208	44	40	to	to	PART
fcis-10208	44	41	forget	forget	VERB
fcis-10208	44	42	,	,	PUNCT
fcis-10208	44	43	and	and	CCONJ
fcis-10208	44	44	what	what	DET
fcis-10208	44	45	information	information	NOUN
fcis-10208	44	46	to	to	PART
fcis-10208	44	47	continue	continue	VERB
fcis-10208	44	48	to	to	PART
fcis-10208	44	49	pass	pass	VERB
fcis-10208	44	50	on	on	ADP
fcis-10208	44	51	.	.	PUNCT
fcis-10208	45	1	the	the	DET
fcis-10208	45	2	so	so	ADV
fcis-10208	45	3	-	-	PUNCT
fcis-10208	45	4	called	call	VERB
fcis-10208	45	5	gate	gate	NOUN
fcis-10208	45	6	means	mean	VERB
fcis-10208	45	7	a	a	DET
fcis-10208	45	8	value	value	NOUN
fcis-10208	45	9	between	between	ADP
fcis-10208	45	10	(	(	PUNCT
fcis-10208	45	11	0,1	0,1	NUM
fcis-10208	45	12	)	)	PUNCT
fcis-10208	45	13	.	.	PUNCT
fcis-10208	46	1	if	if	SCONJ
fcis-10208	46	2	the	the	DET
fcis-10208	46	3	value	value	NOUN
fcis-10208	46	4	is	be	AUX
fcis-10208	46	5	closer	close	ADJ
fcis-10208	46	6	to	to	ADP
fcis-10208	46	7	1	1	NUM
fcis-10208	46	8	,	,	PUNCT
fcis-10208	46	9	it	it	PRON
fcis-10208	46	10	means	mean	VERB
fcis-10208	46	11	that	that	SCONJ
fcis-10208	46	12	the	the	DET
fcis-10208	46	13	door	door	NOUN
fcis-10208	46	14	is	be	AUX
fcis-10208	46	15	more	more	ADV
fcis-10208	46	16	open	open	ADJ
fcis-10208	46	17	,	,	PUNCT
fcis-10208	46	18	and	and	CCONJ
fcis-10208	46	19	the	the	DET
fcis-10208	46	20	information	information	NOUN
fcis-10208	46	21	is	be	AUX
fcis-10208	46	22	more	more	ADV
fcis-10208	46	23	likely	likely	ADJ
fcis-10208	46	24	to	to	PART
fcis-10208	46	25	be	be	AUX
fcis-10208	46	26	passed	pass	VERB
fcis-10208	46	27	on	on	ADP
fcis-10208	46	28	;	;	PUNCT
fcis-10208	46	29	closer	close	ADV
fcis-10208	46	30	to	to	ADP
fcis-10208	46	31	0	0	NUM
fcis-10208	46	32	,	,	PUNCT
fcis-10208	46	33	it	it	PRON
fcis-10208	46	34	means	mean	VERB
fcis-10208	46	35	that	that	SCONJ
fcis-10208	46	36	the	the	PRON
fcis-10208	46	37	more	more	ADV
fcis-10208	46	38	the	the	DET
fcis-10208	46	39	door	door	NOUN
fcis-10208	46	40	tends	tend	VERB
fcis-10208	46	41	to	to	PART
fcis-10208	46	42	be	be	AUX
fcis-10208	46	43	closed	close	VERB
fcis-10208	46	44	,	,	PUNCT
fcis-10208	46	45	the	the	PRON
fcis-10208	46	46	more	more	ADV
fcis-10208	46	47	likely	likely	ADJ
fcis-10208	46	48	the	the	DET
fcis-10208	46	49	information	information	NOUN
fcis-10208	46	50	will	will	AUX
fcis-10208	46	51	be	be	AUX
fcis-10208	46	52	forgotten	forget	VERB
fcis-10208	46	53	.	.	PUNCT
fcis-10208	47	1	therefore	therefore	ADV
fcis-10208	47	2	,	,	PUNCT
fcis-10208	47	3	in	in	ADP
fcis-10208	47	4	lstm	lstm	PROPN
fcis-10208	47	5	,	,	PUNCT
fcis-10208	47	6	the	the	DET
fcis-10208	47	7	sigmoid	sigmoid	NOUN
fcis-10208	47	8	function	function	NOUN
fcis-10208	47	9	is	be	AUX
fcis-10208	47	10	usually	usually	ADV
fcis-10208	47	11	used	use	VERB
fcis-10208	47	12	to	to	PART
fcis-10208	47	13	construct	construct	VERB
fcis-10208	47	14	the	the	DET
fcis-10208	47	15	gate	gate	NOUN
fcis-10208	47	16	.	.	PUNCT
fcis-10208	48	1	the	the	DET
fcis-10208	48	2	main	main	ADJ
fcis-10208	48	3	function	function	NOUN
fcis-10208	48	4	of	of	ADP
fcis-10208	48	5	lstm	lstm	NOUN
fcis-10208	48	6	is	be	AUX
fcis-10208	48	7	to	to	PART
fcis-10208	48	8	process	process	VERB
fcis-10208	48	9	long	long	ADJ
fcis-10208	48	10	-	-	PUNCT
fcis-10208	48	11	term	term	NOUN
fcis-10208	48	12	sequence	sequence	NOUN
fcis-10208	48	13	data	datum	NOUN
fcis-10208	48	14	,	,	PUNCT
fcis-10208	48	15	so	so	SCONJ
fcis-10208	48	16	that	that	SCONJ
fcis-10208	48	17	the	the	DET
fcis-10208	48	18	network	network	NOUN
fcis-10208	48	19	can	can	AUX
fcis-10208	48	20	remember	remember	VERB
fcis-10208	48	21	relatively	relatively	ADV
fcis-10208	48	22	distant	distant	ADJ
fcis-10208	48	23	information	information	NOUN
fcis-10208	48	24	hidden	hide	VERB
fcis-10208	48	25	in	in	ADP
fcis-10208	48	26	the	the	DET
fcis-10208	48	27	time	time	NOUN
fcis-10208	48	28	series	series	PROPN
fcis-10208	48	29	data	data	PROPN
fcis-10208	48	30	.	.	PUNCT
fcis-10208	49	1	the	the	DET
fcis-10208	49	2	following	follow	VERB
fcis-10208	49	3	will	will	AUX
fcis-10208	49	4	introduce	introduce	VERB
fcis-10208	49	5	the	the	DET
fcis-10208	49	6	various	various	ADJ
fcis-10208	49	7	gates	gate	NOUN
fcis-10208	49	8	of	of	ADP
fcis-10208	49	9	lstm	lstm	NOUN
fcis-10208	49	10	in	in	ADP
fcis-10208	49	11	detail	detail	NOUN
fcis-10208	49	12	structure	structure	NOUN
fcis-10208	49	13	[	[	X
fcis-10208	49	14	5	5	NUM
fcis-10208	49	15	]	]	PUNCT
fcis-10208	49	16	.	.	PUNCT
fcis-10208	50	1	figure	figure	NOUN
fcis-10208	50	2	1	1	NUM
fcis-10208	50	3	.	.	PUNCT
fcis-10208	51	1	lstm	lstm	ADJ
fcis-10208	51	2	basic	basic	ADJ
fcis-10208	51	3	structure	structure	NOUN
fcis-10208	51	4	diagram	diagram	NOUN
fcis-10208	51	5	1	1	NUM
fcis-10208	51	6	.	.	PUNCT
fcis-10208	52	1	symbol	symbol	PROPN
fcis-10208	52	2	representation	representation	PROPN
fcis-10208	52	3	xt	xt	ADP
fcis-10208	52	4	:	:	PUNCT
fcis-10208	52	5	the	the	DET
fcis-10208	52	6	t	t	PROPN
fcis-10208	52	7	-	-	PUNCT
fcis-10208	52	8	th	th	VERB
fcis-10208	52	9	input	input	NOUN
fcis-10208	52	10	vector	vector	NOUN
fcis-10208	52	11	in	in	ADP
fcis-10208	52	12	the	the	DET
fcis-10208	52	13	time	time	NOUN
fcis-10208	52	14	series	series	NOUN
fcis-10208	52	15	;	;	PUNCT
fcis-10208	52	16	ℎt	ℎt	ADP
fcis-10208	52	17	:	:	PUNCT
fcis-10208	52	18	the	the	DET
fcis-10208	52	19	output	output	NOUN
fcis-10208	52	20	vector	vector	NOUN
fcis-10208	52	21	of	of	ADP
fcis-10208	52	22	the	the	DET
fcis-10208	52	23	hidden	hidden	ADJ
fcis-10208	52	24	state	state	NOUN
fcis-10208	52	25	at	at	ADP
fcis-10208	52	26	time	time	NOUN
fcis-10208	52	27	t	t	PROPN
fcis-10208	52	28	;	;	PUNCT
fcis-10208	52	29	tanh	tanh	NOUN
fcis-10208	52	30	:	:	PUNCT
fcis-10208	52	31	tanh	tanh	NOUN
fcis-10208	52	32	activation	activation	NOUN
fcis-10208	52	33	function	function	NOUN
fcis-10208	52	34	;	;	PUNCT
fcis-10208	52	35	σ	σ	X
fcis-10208	52	36	:	:	PUNCT
fcis-10208	52	37	sigmoid	sigmoid	NOUN
fcis-10208	52	38	activation	activation	NOUN
fcis-10208	52	39	function	function	NOUN
fcis-10208	52	40	;	;	PUNCT
fcis-10208	52	41	ct	ct	PRON
fcis-10208	52	42	:	:	PUNCT
fcis-10208	52	43	the	the	DET
fcis-10208	52	44	actual	actual	ADJ
fcis-10208	52	45	value	value	NOUN
fcis-10208	52	46	of	of	ADP
fcis-10208	52	47	the	the	DET
fcis-10208	52	48	cell	cell	NOUN
fcis-10208	52	49	state	state	NOUN
fcis-10208	52	50	at	at	ADP
fcis-10208	52	51	time	time	NOUN
fcis-10208	52	52	t	t	PROPN
fcis-10208	52	53	;	;	PUNCT
fcis-10208	52	54	ct̂	ct̂	NOUN
fcis-10208	52	55	:	:	PUNCT
fcis-10208	52	56	candidate	candidate	NOUN
fcis-10208	52	57	value	value	NOUN
fcis-10208	52	58	of	of	ADP
fcis-10208	52	59	the	the	DET
fcis-10208	52	60	cell	cell	NOUN
fcis-10208	52	61	state	state	NOUN
fcis-10208	52	62	at	at	ADP
fcis-10208	52	63	time	time	NOUN
fcis-10208	52	64	t	t	PROPN
fcis-10208	52	65	;	;	PUNCT
fcis-10208	52	66	ft	ft	X
fcis-10208	52	67	:	:	PUNCT
fcis-10208	52	68	forget	forget	VERB
fcis-10208	52	69	the	the	DET
fcis-10208	52	70	control	control	NOUN
fcis-10208	52	71	value	value	NOUN
fcis-10208	52	72	of	of	ADP
fcis-10208	52	73	the	the	DET
fcis-10208	52	74	gate	gate	NOUN
fcis-10208	52	75	layer	layer	NOUN
fcis-10208	52	76	at	at	ADP
fcis-10208	52	77	time	time	NOUN
fcis-10208	52	78	t	t	PROPN
fcis-10208	52	79	;	;	PUNCT
fcis-10208	52	80	it	it	PRON
fcis-10208	52	81	:	:	PUNCT
fcis-10208	52	82	input	input	VERB
fcis-10208	52	83	the	the	DET
fcis-10208	52	84	control	control	NOUN
fcis-10208	52	85	value	value	NOUN
fcis-10208	52	86	of	of	ADP
fcis-10208	52	87	the	the	DET
fcis-10208	52	88	gate	gate	NOUN
fcis-10208	52	89	layer	layer	NOUN
fcis-10208	52	90	at	at	ADP
fcis-10208	52	91	time	time	NOUN
fcis-10208	52	92	t	t	PROPN
fcis-10208	52	93	;	;	PUNCT
fcis-10208	52	94	ot	ot	NUM
fcis-10208	52	95	:	:	PUNCT
fcis-10208	52	96	output	output	VERB
fcis-10208	52	97	the	the	DET
fcis-10208	52	98	control	control	NOUN
fcis-10208	52	99	value	value	NOUN
fcis-10208	52	100	of	of	ADP
fcis-10208	52	101	the	the	DET
fcis-10208	52	102	gate	gate	NOUN
fcis-10208	52	103	layer	layer	NOUN
fcis-10208	52	104	at	at	ADP
fcis-10208	52	105	time	time	NOUN
fcis-10208	52	106	t	t	PROPN
fcis-10208	52	107	;	;	PUNCT
fcis-10208	52	108	wf	wf	PROPN
fcis-10208	52	109	:	:	PUNCT
fcis-10208	52	110	each	each	DET
fcis-10208	52	111	time	time	NOUN
fcis-10208	52	112	step	step	NOUN
fcis-10208	52	113	forgets	forget	VERB
fcis-10208	52	114	the	the	DET
fcis-10208	52	115	weight	weight	NOUN
fcis-10208	52	116	matrix	matrix	NOUN
fcis-10208	52	117	of	of	ADP
fcis-10208	52	118	the	the	DET
fcis-10208	52	119	gate	gate	NOUN
fcis-10208	52	120	layer	layer	NOUN
fcis-10208	52	121	;	;	PUNCT
fcis-10208	52	122	wi	wi	PROPN
fcis-10208	52	123	:	:	PUNCT
fcis-10208	52	124	each	each	DET
fcis-10208	52	125	time	time	NOUN
fcis-10208	52	126	step	step	NOUN
fcis-10208	52	127	inputs	input	VERB
fcis-10208	52	128	the	the	DET
fcis-10208	52	129	weight	weight	NOUN
fcis-10208	52	130	matrix	matrix	NOUN
fcis-10208	52	131	of	of	ADP
fcis-10208	52	132	the	the	DET
fcis-10208	52	133	gate	gate	NOUN
fcis-10208	52	134	layer	layer	NOUN
fcis-10208	52	135	;	;	PUNCT
fcis-10208	52	136	wo	will	AUX
fcis-10208	52	137	:	:	PUNCT
fcis-10208	52	138	each	each	DET
fcis-10208	52	139	time	time	NOUN
fcis-10208	52	140	step	step	NOUN
fcis-10208	52	141	outputs	output	VERB
fcis-10208	52	142	the	the	DET
fcis-10208	52	143	weight	weight	NOUN
fcis-10208	52	144	matrix	matrix	NOUN
fcis-10208	52	145	of	of	ADP
fcis-10208	52	146	the	the	DET
fcis-10208	52	147	gate	gate	NOUN
fcis-10208	52	148	layer	layer	NOUN
fcis-10208	52	149	;	;	PUNCT
fcis-10208	52	150	wc	wc	PROPN
fcis-10208	52	151	:	:	PUNCT
fcis-10208	52	152	the	the	DET
fcis-10208	52	153	weight	weight	NOUN
fcis-10208	52	154	matrix	matrix	NOUN
fcis-10208	52	155	of	of	ADP
fcis-10208	52	156	the	the	DET
fcis-10208	52	157	cell	cell	NOUN
fcis-10208	52	158	state	state	NOUN
fcis-10208	52	159	at	at	ADP
fcis-10208	52	160	each	each	DET
fcis-10208	52	161	time	time	NOUN
fcis-10208	52	162	step	step	NOUN
fcis-10208	52	163	;	;	PUNCT
fcis-10208	52	164	wy	wy	PROPN
fcis-10208	52	165	:	:	PUNCT
fcis-10208	52	166	weight	weight	NOUN
fcis-10208	52	167	matrix	matrix	NOUN
fcis-10208	52	168	from	from	ADP
fcis-10208	52	169	hidden	hide	VERB
fcis-10208	52	170	layer	layer	NOUN
fcis-10208	52	171	to	to	PART
fcis-10208	52	172	output	output	VERB
fcis-10208	52	173	layer	layer	NOUN
fcis-10208	52	174	at	at	ADP
fcis-10208	52	175	each	each	DET
fcis-10208	52	176	time	time	NOUN
fcis-10208	52	177	step	step	NOUN
fcis-10208	52	178	;	;	PUNCT
fcis-10208	52	179	bf	bf	ADP
fcis-10208	52	180	:	:	PUNCT
fcis-10208	52	181	the	the	DET
fcis-10208	52	182	bias	bias	NOUN
fcis-10208	52	183	vector	vector	NOUN
fcis-10208	52	184	of	of	ADP
fcis-10208	52	185	the	the	DET
fcis-10208	52	186	forget	forget	NOUN
fcis-10208	52	187	gate	gate	NOUN
fcis-10208	52	188	layer	layer	NOUN
fcis-10208	52	189	;	;	PUNCT
fcis-10208	52	190	bi	bi	NOUN
fcis-10208	52	191	:	:	PUNCT
fcis-10208	52	192	the	the	DET
fcis-10208	52	193	bias	bias	NOUN
fcis-10208	52	194	vector	vector	NOUN
fcis-10208	52	195	of	of	ADP
fcis-10208	52	196	the	the	DET
fcis-10208	52	197	input	input	NOUN
fcis-10208	52	198	gate	gate	NOUN
fcis-10208	52	199	layer	layer	NOUN
fcis-10208	52	200	;	;	PUNCT
fcis-10208	52	201	bo	bo	ADP
fcis-10208	52	202	:	:	PUNCT
fcis-10208	52	203	the	the	DET
fcis-10208	52	204	bias	bias	NOUN
fcis-10208	52	205	vector	vector	NOUN
fcis-10208	52	206	of	of	ADP
fcis-10208	52	207	the	the	DET
fcis-10208	52	208	output	output	NOUN
fcis-10208	52	209	gate	gate	NOUN
fcis-10208	52	210	layer	layer	NOUN
fcis-10208	52	211	;	;	PUNCT
fcis-10208	52	212	bc	bc	PROPN
fcis-10208	52	213	:	:	PUNCT
fcis-10208	52	214	the	the	DET
fcis-10208	52	215	bias	bias	NOUN
fcis-10208	52	216	vector	vector	NOUN
fcis-10208	52	217	of	of	ADP
fcis-10208	52	218	the	the	DET
fcis-10208	52	219	cell	cell	NOUN
fcis-10208	52	220	state	state	NOUN
fcis-10208	52	221	;	;	PUNCT
fcis-10208	52	222	by	by	ADP
fcis-10208	52	223	:	:	PUNCT
fcis-10208	52	224	the	the	DET
fcis-10208	52	225	bias	bias	NOUN
fcis-10208	52	226	vector	vector	NOUN
fcis-10208	52	227	of	of	ADP
fcis-10208	52	228	the	the	DET
fcis-10208	52	229	output	output	NOUN
fcis-10208	52	230	layer	layer	NOUN
fcis-10208	52	231	;	;	PUNCT
fcis-10208	52	232	⊙	⊙	NOUN
fcis-10208	52	233	:	:	PUNCT
fcis-10208	52	234	indicates	indicate	VERB
fcis-10208	52	235	the	the	DET
fcis-10208	52	236	multiplication	multiplication	NOUN
fcis-10208	52	237	between	between	ADP
fcis-10208	52	238	corresponding	correspond	VERB
fcis-10208	52	239	elements	element	NOUN
fcis-10208	52	240	in	in	ADP
fcis-10208	52	241	different	different	ADJ
fcis-10208	52	242	matrices	matrix	NOUN
fcis-10208	52	243	2.2	2.2	NUM
fcis-10208	52	244	.	.	PUNCT
fcis-10208	52	245	principle	principle	NOUN
fcis-10208	52	246	of	of	ADP
fcis-10208	52	247	lstm	lstm	NOUN
fcis-10208	52	248	2.2.1	2.2.1	NUM
fcis-10208	52	249	.	.	PUNCT
fcis-10208	52	250	forgetting	forget	VERB
fcis-10208	52	251	gate	gate	NOUN
fcis-10208	52	252	layer	layer	NOUN
fcis-10208	52	253	the	the	DET
fcis-10208	52	254	local	local	ADJ
fcis-10208	52	255	structure	structure	NOUN
fcis-10208	52	256	diagram	diagram	NOUN
fcis-10208	52	257	of	of	ADP
fcis-10208	52	258	the	the	DET
fcis-10208	52	259	lstm	lstm	NOUN
fcis-10208	52	260	forgetting	forget	VERB
fcis-10208	52	261	gate	gate	NOUN
fcis-10208	52	262	layer	layer	NOUN
fcis-10208	52	263	is	be	AUX
fcis-10208	52	264	shown	show	VERB
fcis-10208	52	265	above	above	ADP
fcis-10208	52	266	.	.	PUNCT
fcis-10208	53	1	its	its	PRON
fcis-10208	53	2	function	function	NOUN
fcis-10208	53	3	is	be	AUX
fcis-10208	53	4	to	to	PART
fcis-10208	53	5	control	control	VERB
fcis-10208	53	6	the	the	DET
fcis-10208	53	7	proportion	proportion	NOUN
fcis-10208	53	8	of	of	ADP
fcis-10208	53	9	useless	useless	ADJ
fcis-10208	53	10	information	information	NOUN
fcis-10208	53	11	that	that	PRON
fcis-10208	53	12	can	can	AUX
fcis-10208	53	13	be	be	AUX
fcis-10208	53	14	forgotten	forget	VERB
fcis-10208	53	15	between	between	ADP
fcis-10208	53	16	the	the	DET
fcis-10208	53	17	previously	previously	ADV
fcis-10208	53	18	transmitted	transmit	VERB
fcis-10208	53	19	information	information	NOUN
fcis-10208	53	20	and	and	CCONJ
fcis-10208	53	21	the	the	DET
fcis-10208	53	22	current	current	ADJ
fcis-10208	53	23	input	input	NOUN
fcis-10208	53	24	information	information	NOUN
fcis-10208	53	25	.	.	PUNCT
fcis-10208	54	1	therefore	therefore	ADV
fcis-10208	54	2	,	,	PUNCT
fcis-10208	54	3	in	in	ADP
fcis-10208	54	4	the	the	DET
fcis-10208	54	5	forgetting	forget	VERB
fcis-10208	54	6	gate	gate	NOUN
fcis-10208	54	7	structure	structure	NOUN
fcis-10208	54	8	,	,	PUNCT
fcis-10208	54	9	the	the	DET
fcis-10208	54	10	lstm	lstm	ADJ
fcis-10208	54	11	layer	layer	NOUN
fcis-10208	54	12	will	will	AUX
fcis-10208	54	13	calculate	calculate	VERB
fcis-10208	54	14	the	the	DET
fcis-10208	54	15	forgetting	forget	VERB
fcis-10208	54	16	gate	gate	NOUN
fcis-10208	54	17	layer	layer	NOUN
fcis-10208	54	18	control	control	NOUN
fcis-10208	54	19	parameters	parameter	NOUN
fcis-10208	54	20	ft[6	ft[6	NOUN
fcis-10208	54	21	]	]	PUNCT
fcis-10208	54	22	.	.	PUNCT
fcis-10208	55	1	𝑓𝑡	𝑓𝑡	NOUN
fcis-10208	55	2	=	=	PUNCT
fcis-10208	55	3	𝜎(𝑊𝑓	𝜎(𝑊𝑓	NOUN
fcis-10208	55	4	∙	∙	PUNCT
fcis-10208	56	1	[	[	X
fcis-10208	56	2	ℎ𝑡−1	ℎ𝑡−1	ADJ
fcis-10208	56	3	,	,	PUNCT
fcis-10208	56	4	𝑥𝑡	𝑥𝑡	ADP
fcis-10208	56	5	]	]	PUNCT
fcis-10208	57	1	+	+	CCONJ
fcis-10208	57	2	𝑏𝑓	𝑏𝑓	PROPN
fcis-10208	57	3	)	)	PUNCT
fcis-10208	57	4	(	(	PUNCT
fcis-10208	57	5	1	1	NUM
fcis-10208	57	6	)	)	PUNCT
fcis-10208	57	7	2.2.2	2.2.2	NUM
fcis-10208	57	8	.	.	PUNCT
fcis-10208	57	9	input	input	PROPN
fcis-10208	57	10	gate	gate	NOUN
fcis-10208	57	11	layer	layer	NOUN
fcis-10208	57	12	figure	figure	NOUN
fcis-10208	57	13	2	2	NUM
fcis-10208	57	14	.	.	PUNCT
fcis-10208	57	15	local	local	ADJ
fcis-10208	57	16	structure	structure	NOUN
fcis-10208	57	17	diagram	diagram	NOUN
fcis-10208	57	18	of	of	ADP
fcis-10208	57	19	lstm	lstm	PROPN
fcis-10208	57	20	forgetting	forget	VERB
fcis-10208	57	21	gate	gate	NOUN
fcis-10208	57	22	layer	layer	NOUN
fcis-10208	57	23	the	the	DET
fcis-10208	57	24	main	main	ADJ
fcis-10208	57	25	function	function	NOUN
fcis-10208	57	26	of	of	ADP
fcis-10208	57	27	the	the	DET
fcis-10208	57	28	lstm	lstm	PROPN
fcis-10208	57	29	input	input	NOUN
fcis-10208	57	30	gate	gate	NOUN
fcis-10208	57	31	layer	layer	NOUN
fcis-10208	57	32	is	be	AUX
fcis-10208	57	33	to	to	PART
fcis-10208	57	34	update	update	VERB
fcis-10208	57	35	information	information	NOUN
fcis-10208	57	36	,	,	PUNCT
fcis-10208	57	37	including	include	VERB
fcis-10208	57	38	two	two	NUM
fcis-10208	57	39	steps	step	NOUN
fcis-10208	57	40	,	,	PUNCT
fcis-10208	57	41	the	the	DET
fcis-10208	57	42	first	first	ADJ
fcis-10208	57	43	is	be	AUX
fcis-10208	57	44	to	to	PART
fcis-10208	57	45	determine	determine	VERB
fcis-10208	57	46	new	new	ADJ
fcis-10208	57	47	information	information	NOUN
fcis-10208	57	48	,	,	PUNCT
fcis-10208	57	49	and	and	CCONJ
fcis-10208	57	50	the	the	DET
fcis-10208	57	51	second	second	NOUN
fcis-10208	57	52	is	be	AUX
fcis-10208	57	53	to	to	PART
fcis-10208	57	54	update	update	VERB
fcis-10208	57	55	information	information	NOUN
fcis-10208	57	56	.	.	PUNCT
fcis-10208	58	1	(	(	PUNCT
fcis-10208	58	2	1	1	X
fcis-10208	58	3	)	)	PUNCT
fcis-10208	58	4	determination	determination	NOUN
fcis-10208	58	5	of	of	ADP
fcis-10208	58	6	new	new	ADJ
fcis-10208	58	7	information	information	NOUN
fcis-10208	58	8	figure	figure	NOUN
fcis-10208	58	9	3	3	NUM
fcis-10208	58	10	.	.	PUNCT
fcis-10208	59	1	lstm	lstm	PROPN
fcis-10208	59	2	input	input	PROPN
fcis-10208	59	3	gate	gate	NOUN
fcis-10208	59	4	layer	layer	NOUN
fcis-10208	59	5	determines	determine	VERB
fcis-10208	59	6	new	new	ADJ
fcis-10208	59	7	information	information	NOUN
fcis-10208	59	8	map	map	NOUN
fcis-10208	59	9	in	in	ADP
fcis-10208	59	10	this	this	DET
fcis-10208	59	11	step	step	NOUN
fcis-10208	59	12	,	,	PUNCT
fcis-10208	59	13	it	it	PRON
fcis-10208	59	14	will	will	AUX
fcis-10208	59	15	be	be	AUX
fcis-10208	59	16	determined	determine	VERB
fcis-10208	59	17	what	what	PRON
fcis-10208	59	18	new	new	ADJ
fcis-10208	59	19	information	information	NOUN
fcis-10208	59	20	enters	enter	VERB
fcis-10208	59	21	.	.	PUNCT
fcis-10208	60	1	first	first	ADV
fcis-10208	60	2	,	,	PUNCT
fcis-10208	60	3	the	the	DET
fcis-10208	60	4	lstm	lstm	ADJ
fcis-10208	60	5	layer	layer	NOUN
fcis-10208	60	6	will	will	AUX
fcis-10208	60	7	calculate	calculate	VERB
fcis-10208	60	8	the	the	DET
fcis-10208	60	9	control	control	NOUN
fcis-10208	60	10	parameters	parameter	NOUN
fcis-10208	60	11	of	of	ADP
fcis-10208	60	12	the	the	DET
fcis-10208	60	13	input	input	NOUN
fcis-10208	60	14	gate	gate	NOUN
fcis-10208	60	15	layer	layer	NOUN
fcis-10208	60	16	number	number	NOUN
fcis-10208	60	17	,	,	PUNCT
fcis-10208	60	18	so	so	SCONJ
fcis-10208	60	19	as	as	SCONJ
fcis-10208	60	20	to	to	PART
fcis-10208	60	21	determine	determine	VERB
fcis-10208	60	22	the	the	DET
fcis-10208	60	23	proportion	proportion	NOUN
fcis-10208	60	24	of	of	ADP
fcis-10208	60	25	new	new	ADJ
fcis-10208	60	26	information	information	NOUN
fcis-10208	60	27	that	that	PRON
fcis-10208	60	28	can	can	AUX
fcis-10208	60	29	be	be	AUX
fcis-10208	60	30	transmitted	transmit	VERB
fcis-10208	60	31	,	,	PUNCT
fcis-10208	60	32	and	and	CCONJ
fcis-10208	60	33	then	then	ADV
fcis-10208	60	34	calculate	calculate	VERB
fcis-10208	60	35	the	the	DET
fcis-10208	60	36	candidate	candidate	NOUN
fcis-10208	60	37	value	value	NOUN
fcis-10208	60	38	of	of	ADP
fcis-10208	60	39	the	the	DET
fcis-10208	60	40	hidden	hide	VERB
fcis-10208	60	41	state	state	NOUN
fcis-10208	60	42	ct̂.	ct̂.	NOUN
fcis-10208	60	43	𝑖𝑡	𝑖𝑡	NOUN
fcis-10208	60	44	=	=	PUNCT
fcis-10208	60	45	𝜎(𝑊𝑖	𝜎(𝑊𝑖	NOUN
fcis-10208	60	46	∙	∙	PUNCT
fcis-10208	61	1	[	[	X
fcis-10208	61	2	ℎ𝑡−1，𝑥𝑡	ℎ𝑡−1，𝑥𝑡	X
fcis-10208	61	3	]	]	X
fcis-10208	61	4	+	+	NUM
fcis-10208	61	5	ℎ𝑡−1，𝑏𝑖	ℎ𝑡−1，𝑏𝑖	NUM
fcis-10208	61	6	)	)	PUNCT
fcis-10208	61	7	(	(	PUNCT
fcis-10208	61	8	2	2	X
fcis-10208	61	9	)	)	PUNCT
fcis-10208	61	10	𝐶	𝐶	PROPN
fcis-10208	61	11	�	�	PROPN
fcis-10208	61	12	̂	̂	VERB
fcis-10208	61	13	�	�	NOUN
fcis-10208	61	14	=	=	SYM
fcis-10208	61	15	𝑡𝑎𝑛ℎ(𝑊𝐶	𝑡𝑎𝑛ℎ(𝑊𝐶	NOUN
fcis-10208	61	16	∙	∙	PROPN
fcis-10208	62	1	[	[	X
fcis-10208	62	2	ℎ𝑡−1，𝑥𝑡	ℎ𝑡−1，𝑥𝑡	X
fcis-10208	62	3	]	]	X
fcis-10208	62	4	+	+	NUM
fcis-10208	62	5	ℎ𝑡−1，𝑏𝐶	ℎ𝑡−1，𝑏𝐶	NOUN
fcis-10208	62	6	)	)	PUNCT
fcis-10208	62	7	(	(	PUNCT
fcis-10208	62	8	3	3	X
fcis-10208	62	9	)	)	PUNCT
fcis-10208	62	10	(	(	PUNCT
fcis-10208	62	11	2	2	X
fcis-10208	62	12	)	)	PUNCT
fcis-10208	62	13	information	information	NOUN
fcis-10208	62	14	update	update	NOUN
fcis-10208	62	15	in	in	ADP
fcis-10208	62	16	this	this	DET
fcis-10208	62	17	step	step	NOUN
fcis-10208	62	18	,	,	PUNCT
fcis-10208	62	19	all	all	DET
fcis-10208	62	20	new	new	ADJ
fcis-10208	62	21	information	information	NOUN
fcis-10208	62	22	entered	enter	VERB
fcis-10208	62	23	in	in	ADP
fcis-10208	62	24	the	the	DET
fcis-10208	62	25	previous	previous	ADJ
fcis-10208	62	26	step	step	NOUN
fcis-10208	62	27	will	will	AUX
fcis-10208	62	28	be	be	AUX
fcis-10208	62	29	determined	determine	VERB
fcis-10208	62	30	,	,	PUNCT
fcis-10208	62	31	and	and	CCONJ
fcis-10208	62	32	what	what	PRON
fcis-10208	62	33	new	new	ADJ
fcis-10208	62	34	information	information	NOUN
fcis-10208	62	35	can	can	AUX
fcis-10208	62	36	be	be	AUX
fcis-10208	62	37	updated	update	VERB
fcis-10208	62	38	.	.	PUNCT
fcis-10208	63	1	at	at	ADP
fcis-10208	63	2	this	this	DET
fcis-10208	63	3	time	time	NOUN
fcis-10208	63	4	,	,	PUNCT
fcis-10208	63	5	the	the	DET
fcis-10208	63	6	lstm	lstm	ADJ
fcis-10208	63	7	layer	layer	NOUN
fcis-10208	63	8	will	will	AUX
fcis-10208	63	9	calculate	calculate	VERB
fcis-10208	63	10	the	the	DET
fcis-10208	63	11	actual	actual	ADJ
fcis-10208	63	12	value	value	NOUN
fcis-10208	63	13	of	of	ADP
fcis-10208	63	14	the	the	DET
fcis-10208	63	15	hidden	hidden	ADJ
fcis-10208	63	16	state	state	NOUN
fcis-10208	63	17	.	.	PUNCT
fcis-10208	64	1	𝐶𝑡	𝐶𝑡	PROPN
fcis-10208	64	2	=	=	PROPN
fcis-10208	65	1	𝑓𝑡	𝑓𝑡	PROPN
fcis-10208	65	2	⊙	⊙	PROPN
fcis-10208	65	3	𝐶𝑡−1	𝐶𝑡−1	PROPN
fcis-10208	66	1	+	+	CCONJ
fcis-10208	66	2	𝑖𝑡	𝑖𝑡	PROPN
fcis-10208	66	3	⊙	⊙	PROPN
fcis-10208	66	4	𝐶	𝐶	PROPN
fcis-10208	66	5	�	�	PROPN
fcis-10208	66	6	̂	̂	VERB
fcis-10208	66	7	�	�	PROPN
fcis-10208	66	8	(	(	PUNCT
fcis-10208	66	9	4	4	NUM
fcis-10208	66	10	)	)	PUNCT
fcis-10208	66	11	2.2.3	2.2.3	NUM
fcis-10208	66	12	.	.	PUNCT
fcis-10208	66	13	output	output	NOUN
fcis-10208	66	14	gate	gate	PROPN
fcis-10208	66	15	layer	layer	NOUN
fcis-10208	66	16	figure	figure	NOUN
fcis-10208	66	17	4	4	NUM
fcis-10208	66	18	.	.	PUNCT
fcis-10208	67	1	lstm	lstm	PROPN
fcis-10208	67	2	input	input	PROPN
fcis-10208	67	3	gate	gate	PROPN
fcis-10208	67	4	layer	layer	NOUN
fcis-10208	67	5	information	information	NOUN
fcis-10208	67	6	update	update	NOUN
fcis-10208	67	7	diagram	diagram	NOUN
fcis-10208	67	8	the	the	DET
fcis-10208	67	9	output	output	NOUN
fcis-10208	67	10	gate	gate	NOUN
fcis-10208	67	11	layer	layer	NOUN
fcis-10208	67	12	is	be	AUX
fcis-10208	67	13	the	the	DET
fcis-10208	67	14	last	last	ADJ
fcis-10208	67	15	gate	gate	NOUN
fcis-10208	67	16	in	in	ADP
fcis-10208	67	17	the	the	DET
fcis-10208	67	18	lstm	lstm	PROPN
fcis-10208	67	19	gate	gate	NOUN
fcis-10208	67	20	structure	structure	NOUN
fcis-10208	67	21	.	.	PUNCT
fcis-10208	68	1	its	its	PRON
fcis-10208	68	2	main	main	ADJ
fcis-10208	68	3	function	function	NOUN
fcis-10208	68	4	is	be	AUX
fcis-10208	68	5	to	to	PART
fcis-10208	68	6	determine	determine	VERB
fcis-10208	68	7	what	what	PRON
fcis-10208	68	8	information	information	NOUN
fcis-10208	68	9	can	can	AUX
fcis-10208	68	10	be	be	AUX
fcis-10208	68	11	output	output	NOUN
fcis-10208	68	12	and	and	CCONJ
fcis-10208	68	13	control	control	VERB
fcis-10208	68	14	the	the	DET
fcis-10208	68	15	proportion	proportion	NOUN
fcis-10208	68	16	of	of	ADP
fcis-10208	68	17	lstm	lstm	ADJ
fcis-10208	68	18	layer	layer	NOUN
fcis-10208	68	19	information	information	NOUN
fcis-10208	68	20	output	output	NOUN
fcis-10208	68	21	.	.	PUNCT
fcis-10208	69	1	therefore	therefore	ADV
fcis-10208	69	2	,	,	PUNCT
fcis-10208	69	3	in	in	ADP
fcis-10208	69	4	this	this	DET
fcis-10208	69	5	step	step	NOUN
fcis-10208	69	6	,	,	PUNCT
fcis-10208	69	7	the	the	DET
fcis-10208	69	8	output	output	NOUN
fcis-10208	69	9	gate	gate	PROPN
fcis-10208	69	10	control	control	PROPN
fcis-10208	69	11	parameters	parameter	NOUN
fcis-10208	69	12	will	will	AUX
fcis-10208	69	13	be	be	AUX
fcis-10208	69	14	calculated	calculate	VERB
fcis-10208	69	15	first	first	ADV
fcis-10208	69	16	,	,	PUNCT
fcis-10208	69	17	and	and	CCONJ
fcis-10208	69	18	finally	finally	ADV
fcis-10208	69	19	then	then	ADV
fcis-10208	69	20	70	70	NUM
fcis-10208	69	21	calculate	calculate	VERB
fcis-10208	69	22	the	the	DET
fcis-10208	69	23	output	output	NOUN
fcis-10208	69	24	value	value	NOUN
fcis-10208	69	25	ℎ	ℎ	NOUN
fcis-10208	69	26	of	of	ADP
fcis-10208	69	27	the	the	DET
fcis-10208	69	28	lstm	lstm	ADJ
fcis-10208	69	29	layer	layer	NOUN
fcis-10208	69	30	.	.	PUNCT
fcis-10208	70	1	the	the	DET
fcis-10208	70	2	partial	partial	ADJ
fcis-10208	70	3	structure	structure	NOUN
fcis-10208	70	4	diagram	diagram	NOUN
fcis-10208	70	5	of	of	ADP
fcis-10208	70	6	the	the	DET
fcis-10208	70	7	lstm	lstm	PROPN
fcis-10208	70	8	output	output	NOUN
fcis-10208	70	9	gate	gate	NOUN
fcis-10208	70	10	layer	layer	NOUN
fcis-10208	70	11	is	be	AUX
fcis-10208	70	12	shown	show	VERB
fcis-10208	70	13	below	below	ADV
fcis-10208	70	14	.	.	PUNCT
fcis-10208	71	1	figure	figure	NOUN
fcis-10208	71	2	5	5	NUM
fcis-10208	71	3	.	.	PUNCT
fcis-10208	71	4	lstm	lstm	PROPN
fcis-10208	71	5	input	input	PROPN
fcis-10208	71	6	gate	gate	NOUN
fcis-10208	71	7	layer	layer	NOUN
fcis-10208	71	8	partial	partial	ADJ
fcis-10208	71	9	structure	structure	NOUN
fcis-10208	71	10	diagram	diagram	NOUN
fcis-10208	71	11	𝑜𝑡	𝑜𝑡	NOUN
fcis-10208	71	12	=	=	PUNCT
fcis-10208	72	1	𝜎𝑊𝑖	𝜎𝑊𝑖	VERB
fcis-10208	72	2	∙	∙	PROPN
fcis-10208	72	3	[	[	X
fcis-10208	72	4	ℎ𝑡−1	ℎ𝑡−1	ADJ
fcis-10208	72	5	,	,	PUNCT
fcis-10208	72	6	𝑥𝑡	𝑥𝑡	ADP
fcis-10208	72	7	]	]	PUNCT
fcis-10208	72	8	+	+	CCONJ
fcis-10208	72	9	ℎ𝑡−1	ℎ𝑡−1	ADJ
fcis-10208	72	10	+	+	CCONJ
fcis-10208	72	11	𝑏𝑜	𝑏𝑜	INTJ
fcis-10208	72	12	(	(	PUNCT
fcis-10208	72	13	5	5	NUM
fcis-10208	72	14	)	)	PUNCT
fcis-10208	72	15	ℎ𝑡	ℎ𝑡	NOUN
fcis-10208	72	16	=	=	PUNCT
fcis-10208	72	17	𝑜𝑡	𝑜𝑡	PROPN
fcis-10208	72	18	⊙	⊙	PROPN
fcis-10208	72	19	𝑡𝑎𝑛ℎ(𝐶𝑡	𝑡𝑎𝑛ℎ(𝐶𝑡	PROPN
fcis-10208	72	20	)	)	PUNCT
fcis-10208	72	21	(	(	PUNCT
fcis-10208	72	22	6	6	X
fcis-10208	72	23	)	)	PUNCT
fcis-10208	72	24	lstm	lstm	NOUN
fcis-10208	72	25	controls	control	VERB
fcis-10208	72	26	the	the	DET
fcis-10208	72	27	rejection	rejection	NOUN
fcis-10208	72	28	and	and	CCONJ
fcis-10208	72	29	addition	addition	NOUN
fcis-10208	72	30	of	of	ADP
fcis-10208	72	31	information	information	NOUN
fcis-10208	72	32	through	through	ADP
fcis-10208	72	33	the	the	DET
fcis-10208	72	34	"	"	PUNCT
fcis-10208	72	35	gate	gate	NOUN
fcis-10208	72	36	structure	structure	NOUN
fcis-10208	72	37	"	"	PUNCT
fcis-10208	72	38	.	.	PUNCT
fcis-10208	73	1	in	in	ADP
fcis-10208	73	2	the	the	DET
fcis-10208	73	3	above	above	ADJ
fcis-10208	73	4	formula	formula	NOUN
fcis-10208	73	5	,	,	PUNCT
fcis-10208	73	6	ℎ	ℎ	PROPN
fcis-10208	73	7	is	be	AUX
fcis-10208	73	8	the	the	DET
fcis-10208	73	9	output	output	NOUN
fcis-10208	73	10	state	state	NOUN
fcis-10208	73	11	,	,	PUNCT
fcis-10208	73	12	which	which	PRON
fcis-10208	73	13	can	can	AUX
fcis-10208	73	14	be	be	AUX
fcis-10208	73	15	to	to	PART
fcis-10208	73	16	store	store	VERB
fcis-10208	73	17	short	short	ADJ
fcis-10208	73	18	-	-	PUNCT
fcis-10208	73	19	term	term	NOUN
fcis-10208	73	20	memory	memory	NOUN
fcis-10208	73	21	.	.	PUNCT
fcis-10208	74	1	it	it	PRON
fcis-10208	74	2	is	be	AUX
fcis-10208	74	3	the	the	DET
fcis-10208	74	4	cell	cell	NOUN
fcis-10208	74	5	state	state	NOUN
fcis-10208	74	6	,	,	PUNCT
fcis-10208	74	7	used	use	VERB
fcis-10208	74	8	to	to	PART
fcis-10208	74	9	store	store	VERB
fcis-10208	74	10	long	long	ADJ
fcis-10208	74	11	-	-	PUNCT
fcis-10208	74	12	term	term	NOUN
fcis-10208	74	13	memory	memory	NOUN
fcis-10208	74	14	.	.	PUNCT
fcis-10208	75	1	therefore	therefore	ADV
fcis-10208	75	2	,	,	PUNCT
fcis-10208	75	3	lstm	lstm	NOUN
fcis-10208	75	4	because	because	SCONJ
fcis-10208	75	5	of	of	ADP
fcis-10208	75	6	its	its	PRON
fcis-10208	75	7	unique	unique	ADJ
fcis-10208	75	8	structure	structure	NOUN
fcis-10208	75	9	make	make	VERB
fcis-10208	75	10	it	it	PRON
fcis-10208	75	11	capable	capable	ADJ
fcis-10208	75	12	of	of	ADP
fcis-10208	75	13	handling	handle	VERB
fcis-10208	75	14	long	long	ADJ
fcis-10208	75	15	dependent	dependent	ADJ
fcis-10208	75	16	data	datum	NOUN
fcis-10208	75	17	.	.	PUNCT
fcis-10208	76	1	3	3	X
fcis-10208	76	2	.	.	X
fcis-10208	76	3	experimental	experimental	ADJ
fcis-10208	76	4	results	result	NOUN
fcis-10208	76	5	and	and	CCONJ
fcis-10208	76	6	analysis	analysis	NOUN
fcis-10208	76	7	3.1	3.1	NUM
fcis-10208	76	8	.	.	PUNCT
fcis-10208	77	1	selection	selection	NOUN
fcis-10208	77	2	of	of	ADP
fcis-10208	77	3	eigenvalues	eigenvalue	NOUN
fcis-10208	77	4	determine	determine	VERB
fcis-10208	77	5	four	four	NUM
fcis-10208	77	6	characteristic	characteristic	ADJ
fcis-10208	77	7	values	value	NOUN
fcis-10208	77	8	according	accord	VERB
fcis-10208	77	9	to	to	ADP
fcis-10208	77	10	the	the	DET
fcis-10208	77	11	characteristic	characteristic	ADJ
fcis-10208	77	12	heat	heat	NOUN
fcis-10208	77	13	map	map	NOUN
fcis-10208	77	14	,	,	PUNCT
fcis-10208	77	15	namely	namely	ADV
fcis-10208	77	16	:	:	PUNCT
fcis-10208	77	17	closing	close	VERB
fcis-10208	77	18	price	price	NOUN
fcis-10208	77	19	,	,	PUNCT
fcis-10208	77	20	highest	high	ADJ
fcis-10208	77	21	price	price	NOUN
fcis-10208	77	22	,	,	PUNCT
fcis-10208	77	23	lowest	low	ADJ
fcis-10208	77	24	price	price	NOUN
fcis-10208	77	25	,	,	PUNCT
fcis-10208	77	26	and	and	CCONJ
fcis-10208	77	27	opening	opening	NOUN
fcis-10208	77	28	price	price	NOUN
fcis-10208	77	29	.	.	PUNCT
fcis-10208	78	1	the	the	DET
fcis-10208	78	2	feature	feature	NOUN
fcis-10208	78	3	heat	heat	NOUN
fcis-10208	78	4	map	map	NOUN
fcis-10208	78	5	is	be	AUX
fcis-10208	78	6	shown	show	VERB
fcis-10208	78	7	below	below	ADP
fcis-10208	78	8	[	[	X
fcis-10208	78	9	6	6	NUM
fcis-10208	78	10	]	]	PUNCT
fcis-10208	78	11	.	.	PUNCT
fcis-10208	79	1	figure	figure	NOUN
fcis-10208	79	2	6	6	NUM
fcis-10208	79	3	.	.	PUNCT
fcis-10208	79	4	feature	feature	NOUN
fcis-10208	79	5	heat	heat	NOUN
fcis-10208	79	6	map	map	NOUN
fcis-10208	79	7	3.2	3.2	NUM
fcis-10208	79	8	.	.	PUNCT
fcis-10208	80	1	result	result	PROPN
fcis-10208	80	2	display	display	NOUN
fcis-10208	80	3	figure	figure	NOUN
fcis-10208	80	4	7	7	NUM
fcis-10208	80	5	.	.	PUNCT
fcis-10208	80	6	result	result	VERB
fcis-10208	80	7	1	1	NUM
fcis-10208	80	8	figure	figure	NOUN
fcis-10208	80	9	8	8	NUM
fcis-10208	80	10	.	.	PUNCT
fcis-10208	81	1	feature	feature	NOUN
fcis-10208	81	2	heat	heat	NOUN
fcis-10208	81	3	map	map	NOUN
fcis-10208	81	4	3.3	3.3	NUM
fcis-10208	81	5	.	.	PUNCT
fcis-10208	82	1	stock	stock	NOUN
fcis-10208	82	2	portfolio	portfolio	NOUN
fcis-10208	82	3	by	by	ADP
fcis-10208	82	4	using	use	VERB
fcis-10208	82	5	lstm	lstm	NOUN
fcis-10208	82	6	to	to	PART
fcis-10208	82	7	predict	predict	VERB
fcis-10208	82	8	20	20	NUM
fcis-10208	82	9	stocks	stock	NOUN
fcis-10208	82	10	,	,	PUNCT
fcis-10208	82	11	and	and	CCONJ
fcis-10208	82	12	based	base	VERB
fcis-10208	82	13	on	on	ADP
fcis-10208	82	14	the	the	DET
fcis-10208	82	15	results	result	NOUN
fcis-10208	82	16	,	,	PUNCT
fcis-10208	82	17	two	two	NUM
fcis-10208	82	18	groups	group	NOUN
fcis-10208	82	19	were	be	AUX
fcis-10208	82	20	screened	screen	VERB
fcis-10208	82	21	out	out	ADP
fcis-10208	82	22	,	,	PUNCT
fcis-10208	82	23	each	each	PRON
fcis-10208	82	24	with	with	ADP
fcis-10208	82	25	4	4	NUM
fcis-10208	82	26	stocks	stock	NOUN
fcis-10208	82	27	for	for	ADP
fcis-10208	82	28	combination	combination	NOUN
fcis-10208	82	29	.	.	PUNCT
fcis-10208	83	1	two	two	NUM
fcis-10208	83	2	cases	case	NOUN
fcis-10208	83	3	were	be	AUX
fcis-10208	83	4	calculated	calculate	VERB
fcis-10208	83	5	using	use	VERB
fcis-10208	83	6	markowitz	markowitz	PROPN
fcis-10208	83	7	's	's	PART
fcis-10208	83	8	portfolio	portfolio	NOUN
fcis-10208	83	9	theory	theory	NOUN
fcis-10208	83	10	and	and	CCONJ
fcis-10208	83	11	sharpe	sharpe	NOUN
fcis-10208	83	12	ratio	ratio	NOUN
fcis-10208	83	13	,	,	PUNCT
fcis-10208	83	14	as	as	SCONJ
fcis-10208	83	15	shown	show	VERB
fcis-10208	83	16	in	in	ADP
fcis-10208	83	17	the	the	DET
fcis-10208	83	18	figure	figure	NOUN
fcis-10208	83	19	below	below	ADV
fcis-10208	83	20	.	.	PUNCT
fcis-10208	84	1	figure	figure	VERB
fcis-10208	84	2	9	9	NUM
fcis-10208	84	3	.	.	PUNCT
fcis-10208	85	1	risk	risk	NOUN
fcis-10208	85	2	minimum	minimum	NOUN
fcis-10208	85	3	graph	graph	NOUN
fcis-10208	85	4	figure	figure	NOUN
fcis-10208	85	5	10	10	NUM
fcis-10208	85	6	.	.	PUNCT
fcis-10208	86	1	combination	combination	NOUN
fcis-10208	86	2	optimal	optimal	ADJ
fcis-10208	86	3	graph	graph	NOUN
fcis-10208	86	4	figure	figure	NOUN
fcis-10208	86	5	9	9	NUM
fcis-10208	86	6	shows	show	VERB
fcis-10208	86	7	the	the	DET
fcis-10208	86	8	investment	investment	NOUN
fcis-10208	86	9	portfolio	portfolio	NOUN
fcis-10208	86	10	with	with	ADP
fcis-10208	86	11	the	the	DET
fcis-10208	86	12	least	least	ADJ
fcis-10208	86	13	risk	risk	NOUN
fcis-10208	86	14	.	.	PUNCT
fcis-10208	87	1	when	when	SCONJ
fcis-10208	87	2	the	the	DET
fcis-10208	87	3	volatility	volatility	NOUN
fcis-10208	87	4	is	be	AUX
fcis-10208	87	5	0.1372	0.1372	NUM
fcis-10208	87	6	,	,	PUNCT
fcis-10208	87	7	the	the	DET
fcis-10208	87	8	rate	rate	NOUN
fcis-10208	87	9	of	of	ADP
fcis-10208	87	10	return	return	NOUN
fcis-10208	87	11	can	can	AUX
fcis-10208	87	12	reach	reach	VERB
fcis-10208	87	13	0.4184	0.4184	NUM
fcis-10208	87	14	.	.	PUNCT
fcis-10208	88	1	figure	figure	NOUN
fcis-10208	88	2	10	10	NUM
fcis-10208	88	3	shows	show	VERB
fcis-10208	88	4	the	the	DET
fcis-10208	88	5	optimal	optimal	ADJ
fcis-10208	88	6	investment	investment	NOUN
fcis-10208	88	7	portfolio	portfolio	NOUN
fcis-10208	88	8	.	.	PUNCT
fcis-10208	89	1	when	when	SCONJ
fcis-10208	89	2	the	the	DET
fcis-10208	89	3	volatility	volatility	NOUN
fcis-10208	89	4	is	be	AUX
fcis-10208	89	5	0.1649	0.1649	NUM
fcis-10208	89	6	,	,	PUNCT
fcis-10208	89	7	the	the	DET
fcis-10208	89	8	rate	rate	NOUN
fcis-10208	89	9	of	of	ADP
fcis-10208	89	10	return	return	NOUN
fcis-10208	89	11	can	can	AUX
fcis-10208	89	12	reach	reach	VERB
fcis-10208	89	13	0.559	0.559	NUM
fcis-10208	89	14	.	.	PUNCT
fcis-10208	90	1	4	4	X
fcis-10208	90	2	.	.	X
fcis-10208	90	3	conclusion	conclusion	NOUN
fcis-10208	90	4	this	this	DET
fcis-10208	90	5	paper	paper	NOUN
fcis-10208	90	6	mainly	mainly	ADV
fcis-10208	90	7	does	do	VERB
fcis-10208	90	8	two	two	NUM
fcis-10208	90	9	things	thing	NOUN
fcis-10208	90	10	.	.	PUNCT
fcis-10208	91	1	one	one	NUM
fcis-10208	91	2	is	be	AUX
fcis-10208	91	3	to	to	PART
fcis-10208	91	4	select	select	VERB
fcis-10208	91	5	the	the	DET
fcis-10208	91	6	features	feature	NOUN
fcis-10208	91	7	of	of	ADP
fcis-10208	91	8	the	the	DET
fcis-10208	91	9	stock	stock	NOUN
fcis-10208	91	10	indicators	indicator	NOUN
fcis-10208	91	11	.	.	PUNCT
fcis-10208	92	1	too	too	ADV
fcis-10208	92	2	many	many	ADJ
fcis-10208	92	3	features	feature	NOUN
fcis-10208	92	4	are	be	AUX
fcis-10208	92	5	prone	prone	ADJ
fcis-10208	92	6	to	to	ADP
fcis-10208	92	7	overfitting	overfitte	VERB
fcis-10208	92	8	,	,	PUNCT
fcis-10208	92	9	so	so	SCONJ
fcis-10208	92	10	this	this	DET
fcis-10208	92	11	paper	paper	NOUN
fcis-10208	92	12	performs	perform	VERB
fcis-10208	92	13	feature	feature	NOUN
fcis-10208	92	14	selection	selection	NOUN
fcis-10208	92	15	on	on	ADP
fcis-10208	92	16	the	the	DET
fcis-10208	92	17	indicators	indicator	NOUN
fcis-10208	92	18	of	of	ADP
fcis-10208	92	19	stock	stock	NOUN
fcis-10208	92	20	historical	historical	ADJ
fcis-10208	92	21	transaction	transaction	NOUN
fcis-10208	92	22	data	datum	NOUN
fcis-10208	92	23	.	.	PUNCT
fcis-10208	93	1	the	the	DET
fcis-10208	93	2	second	second	NOUN
fcis-10208	93	3	is	be	AUX
fcis-10208	93	4	to	to	PART
fcis-10208	93	5	screen	screen	VERB
fcis-10208	93	6	multiple	multiple	ADJ
fcis-10208	93	7	stocks	stock	NOUN
fcis-10208	93	8	and	and	CCONJ
fcis-10208	93	9	portfolio	portfolio	NOUN
fcis-10208	93	10	,	,	PUNCT
fcis-10208	93	11	and	and	CCONJ
fcis-10208	93	12	calculate	calculate	VERB
fcis-10208	93	13	the	the	DET
fcis-10208	93	14	rate	rate	NOUN
fcis-10208	93	15	of	of	ADP
fcis-10208	93	16	return	return	NOUN
fcis-10208	93	17	under	under	ADP
fcis-10208	93	18	different	different	ADJ
fcis-10208	93	19	volatility	volatility	NOUN
fcis-10208	93	20	.	.	PUNCT
fcis-10208	94	1	it	it	PRON
fcis-10208	94	2	was	be	AUX
fcis-10208	94	3	found	find	VERB
fcis-10208	94	4	that	that	SCONJ
fcis-10208	94	5	,	,	PUNCT
fcis-10208	94	6	for	for	ADP
fcis-10208	94	7	some	some	DET
fcis-10208	94	8	stocks	stock	NOUN
fcis-10208	94	9	,	,	PUNCT
fcis-10208	94	10	the	the	DET
fcis-10208	94	11	prediction	prediction	NOUN
fcis-10208	94	12	effect	effect	NOUN
fcis-10208	94	13	of	of	ADP
fcis-10208	94	14	the	the	DET
fcis-10208	94	15	lstm	lstm	PROPN
fcis-10208	94	16	model	model	NOUN
fcis-10208	94	17	in	in	ADP
fcis-10208	94	18	some	some	DET
fcis-10208	94	19	stocks	stock	NOUN
fcis-10208	94	20	can	can	AUX
fcis-10208	94	21	meet	meet	VERB
fcis-10208	94	22	expectations	expectation	NOUN
fcis-10208	94	23	,	,	PUNCT
fcis-10208	94	24	but	but	CCONJ
fcis-10208	94	25	it	it	PRON
fcis-10208	94	26	can	can	AUX
fcis-10208	94	27	not	not	PART
fcis-10208	94	28	be	be	AUX
fcis-10208	94	29	extended	extend	VERB
fcis-10208	94	30	to	to	ADP
fcis-10208	94	31	all	all	DET
fcis-10208	94	32	stocks	stock	NOUN
fcis-10208	94	33	.	.	PUNCT
fcis-10208	95	1	at	at	ADP
fcis-10208	95	2	the	the	DET
fcis-10208	95	3	same	same	ADJ
fcis-10208	95	4	time	time	NOUN
fcis-10208	95	5	,	,	PUNCT
fcis-10208	95	6	when	when	SCONJ
fcis-10208	95	7	predicting	predict	VERB
fcis-10208	95	8	the	the	DET
fcis-10208	95	9	stock	stock	NOUN
fcis-10208	95	10	price	price	NOUN
fcis-10208	95	11	,	,	PUNCT
fcis-10208	95	12	you	you	PRON
fcis-10208	95	13	can	can	AUX
fcis-10208	95	14	use	use	VERB
fcis-10208	95	15	the	the	DET
fcis-10208	95	16	lstm	lstm	PROPN
fcis-10208	95	17	model	model	NOUN
fcis-10208	95	18	to	to	ADP
fcis-10208	95	19	71	71	NUM
fcis-10208	95	20	predict	predict	VERB
fcis-10208	95	21	the	the	DET
fcis-10208	95	22	stock	stock	NOUN
fcis-10208	95	23	price	price	NOUN
fcis-10208	95	24	,	,	PUNCT
fcis-10208	95	25	select	select	VERB
fcis-10208	95	26	a	a	DET
fcis-10208	95	27	few	few	ADJ
fcis-10208	95	28	stocks	stock	NOUN
fcis-10208	95	29	with	with	ADP
fcis-10208	95	30	good	good	ADJ
fcis-10208	95	31	effects	effect	NOUN
fcis-10208	95	32	,	,	PUNCT
fcis-10208	95	33	and	and	CCONJ
fcis-10208	95	34	make	make	VERB
fcis-10208	95	35	a	a	DET
fcis-10208	95	36	reasonable	reasonable	ADJ
fcis-10208	95	37	combination	combination	NOUN
fcis-10208	95	38	.	.	PUNCT
fcis-10208	96	1	for	for	ADP
fcis-10208	96	2	investment	investment	NOUN
fcis-10208	96	3	institutions	institution	NOUN
fcis-10208	96	4	,	,	PUNCT
fcis-10208	96	5	the	the	DET
fcis-10208	96	6	essence	essence	NOUN
fcis-10208	96	7	of	of	ADP
fcis-10208	96	8	quantitative	quantitative	ADJ
fcis-10208	96	9	strategies	strategy	NOUN
fcis-10208	96	10	is	be	AUX
fcis-10208	96	11	to	to	PART
fcis-10208	96	12	earn	earn	VERB
fcis-10208	96	13	stable	stable	ADJ
fcis-10208	96	14	returns	return	NOUN
fcis-10208	96	15	,	,	PUNCT
fcis-10208	96	16	and	and	CCONJ
fcis-10208	96	17	the	the	DET
fcis-10208	96	18	primary	primary	ADJ
fcis-10208	96	19	goal	goal	NOUN
fcis-10208	96	20	is	be	AUX
fcis-10208	96	21	to	to	PART
fcis-10208	96	22	maintain	maintain	VERB
fcis-10208	96	23	.	.	PUNCT
fcis-10208	97	1	a	a	DET
fcis-10208	97	2	certain	certain	ADJ
fcis-10208	97	3	income	income	NOUN
fcis-10208	97	4	can	can	AUX
fcis-10208	97	5	have	have	VERB
fcis-10208	97	6	a	a	DET
fcis-10208	97	7	lower	low	ADJ
fcis-10208	97	8	drawdown	drawdown	NOUN
fcis-10208	97	9	at	at	ADP
fcis-10208	97	10	the	the	DET
fcis-10208	97	11	same	same	ADJ
fcis-10208	97	12	time	time	NOUN
fcis-10208	97	13	.	.	PUNCT
fcis-10208	98	1	this	this	DET
fcis-10208	98	2	article	article	NOUN
fcis-10208	98	3	hopes	hope	VERB
fcis-10208	98	4	to	to	PART
fcis-10208	98	5	give	give	VERB
fcis-10208	98	6	some	some	DET
fcis-10208	98	7	reference	reference	NOUN
fcis-10208	98	8	suggestions	suggestion	NOUN
fcis-10208	98	9	to	to	ADP
fcis-10208	98	10	quantitative	quantitative	ADJ
fcis-10208	98	11	investment	investment	NOUN
fcis-10208	98	12	institutions	institution	NOUN
fcis-10208	98	13	and	and	CCONJ
fcis-10208	98	14	provide	provide	VERB
fcis-10208	98	15	a	a	DET
fcis-10208	98	16	feasible	feasible	ADJ
fcis-10208	98	17	high	high	ADJ
fcis-10208	98	18	-	-	PUNCT
fcis-10208	98	19	frequency	frequency	NOUN
fcis-10208	98	20	strategy	strategy	NOUN
fcis-10208	98	21	research	research	NOUN
fcis-10208	98	22	direction	direction	NOUN
fcis-10208	98	23	through	through	ADP
fcis-10208	98	24	the	the	DET
fcis-10208	98	25	exploration	exploration	NOUN
fcis-10208	98	26	of	of	ADP
fcis-10208	98	27	high	high	ADJ
fcis-10208	98	28	-	-	PUNCT
fcis-10208	98	29	frequency	frequency	NOUN
fcis-10208	98	30	trading	trading	NOUN
fcis-10208	98	31	data	datum	NOUN
fcis-10208	98	32	.	.	PUNCT
fcis-10208	99	1	for	for	ADP
fcis-10208	99	2	individual	individual	ADJ
fcis-10208	99	3	investors	investor	NOUN
fcis-10208	99	4	,	,	PUNCT
fcis-10208	99	5	although	although	SCONJ
fcis-10208	99	6	there	there	PRON
fcis-10208	99	7	are	be	VERB
fcis-10208	99	8	no	no	DET
fcis-10208	99	9	quantitative	quantitative	ADJ
fcis-10208	99	10	channels	channel	NOUN
fcis-10208	99	11	for	for	ADP
fcis-10208	99	12	individual	individual	ADJ
fcis-10208	99	13	investors	investor	NOUN
fcis-10208	99	14	in	in	ADP
fcis-10208	99	15	the	the	DET
fcis-10208	99	16	market	market	NOUN
fcis-10208	99	17	,	,	PUNCT
fcis-10208	99	18	the	the	DET
fcis-10208	99	19	pursuit	pursuit	NOUN
fcis-10208	99	20	of	of	ADP
fcis-10208	99	21	stable	stable	ADJ
fcis-10208	99	22	returns	return	NOUN
fcis-10208	99	23	is	be	AUX
fcis-10208	99	24	the	the	DET
fcis-10208	99	25	philosophy	philosophy	NOUN
fcis-10208	99	26	of	of	ADP
fcis-10208	99	27	most	most	ADJ
fcis-10208	99	28	ordinary	ordinary	ADJ
fcis-10208	99	29	investors	investor	NOUN
fcis-10208	99	30	.	.	PUNCT
fcis-10208	100	1	at	at	ADP
fcis-10208	100	2	present	present	ADJ
fcis-10208	100	3	,	,	PUNCT
fcis-10208	100	4	the	the	DET
fcis-10208	100	5	fundamental	fundamental	ADJ
fcis-10208	100	6	data	datum	NOUN
fcis-10208	100	7	required	require	VERB
fcis-10208	100	8	for	for	ADP
fcis-10208	100	9	value	value	NOUN
fcis-10208	100	10	investment	investment	NOUN
fcis-10208	100	11	has	have	VERB
fcis-10208	100	12	more	more	ADJ
fcis-10208	100	13	channels	channel	NOUN
fcis-10208	100	14	for	for	SCONJ
fcis-10208	100	15	institutions	institution	NOUN
fcis-10208	100	16	to	to	PART
fcis-10208	100	17	obtain	obtain	VERB
fcis-10208	100	18	,	,	PUNCT
fcis-10208	100	19	but	but	CCONJ
fcis-10208	100	20	in	in	ADP
fcis-10208	100	21	general	general	ADJ
fcis-10208	100	22	,	,	PUNCT
fcis-10208	100	23	company	company	NOUN
fcis-10208	100	24	financial	financial	ADJ
fcis-10208	100	25	report	report	NOUN
fcis-10208	100	26	data	datum	NOUN
fcis-10208	100	27	and	and	CCONJ
fcis-10208	100	28	some	some	DET
fcis-10208	100	29	economic	economic	PROPN
fcis-10208	100	30	macro	macro	NOUN
fcis-10208	100	31	data	datum	NOUN
fcis-10208	100	32	have	have	VERB
fcis-10208	100	33	obvious	obvious	ADJ
fcis-10208	100	34	lags	lag	NOUN
fcis-10208	100	35	,	,	PUNCT
fcis-10208	100	36	which	which	PRON
fcis-10208	100	37	often	often	ADV
fcis-10208	100	38	cause	cause	VERB
fcis-10208	100	39	certain	certain	ADJ
fcis-10208	100	40	obstacles	obstacle	NOUN
fcis-10208	100	41	to	to	ADP
fcis-10208	100	42	individual	individual	ADJ
fcis-10208	100	43	investors	investor	NOUN
fcis-10208	100	44	'	'	PART
fcis-10208	100	45	investment	investment	NOUN
fcis-10208	100	46	.	.	PUNCT
fcis-10208	101	1	judgment	judgment	NOUN
fcis-10208	101	2	impairment	impairment	NOUN
fcis-10208	101	3	.	.	PUNCT
fcis-10208	102	1	the	the	DET
fcis-10208	102	2	research	research	NOUN
fcis-10208	102	3	on	on	ADP
fcis-10208	102	4	high	high	ADJ
fcis-10208	102	5	-	-	PUNCT
fcis-10208	102	6	frequency	frequency	NOUN
fcis-10208	102	7	data	datum	NOUN
fcis-10208	102	8	in	in	ADP
fcis-10208	102	9	this	this	DET
fcis-10208	102	10	paper	paper	NOUN
fcis-10208	102	11	also	also	ADV
fcis-10208	102	12	provides	provide	VERB
fcis-10208	102	13	a	a	DET
fcis-10208	102	14	certain	certain	ADJ
fcis-10208	102	15	reference	reference	NOUN
fcis-10208	102	16	for	for	ADP
fcis-10208	102	17	future	future	ADJ
fcis-10208	102	18	individual	individual	ADJ
fcis-10208	102	19	investors	investor	NOUN
fcis-10208	102	20	and	and	CCONJ
fcis-10208	102	21	researchers	researcher	NOUN
fcis-10208	102	22	,	,	PUNCT
fcis-10208	102	23	and	and	CCONJ
fcis-10208	102	24	can	can	AUX
fcis-10208	102	25	also	also	ADV
fcis-10208	102	26	play	play	VERB
fcis-10208	102	27	a	a	DET
fcis-10208	102	28	certain	certain	ADJ
fcis-10208	102	29	auxiliary	auxiliary	ADJ
fcis-10208	102	30	role	role	NOUN
fcis-10208	102	31	for	for	ADP
fcis-10208	102	32	every	every	DET
fcis-10208	102	33	investor	investor	NOUN
fcis-10208	102	34	.	.	PUNCT
fcis-10208	103	1	one	one	NUM
fcis-10208	103	2	is	be	AUX
fcis-10208	103	3	that	that	SCONJ
fcis-10208	103	4	this	this	DET
fcis-10208	103	5	paper	paper	NOUN
fcis-10208	103	6	only	only	ADV
fcis-10208	103	7	incorporates	incorporate	VERB
fcis-10208	103	8	stock	stock	NOUN
fcis-10208	103	9	data	datum	NOUN
fcis-10208	103	10	,	,	PUNCT
fcis-10208	103	11	and	and	CCONJ
fcis-10208	103	12	there	there	PRON
fcis-10208	103	13	are	be	VERB
fcis-10208	103	14	data	datum	NOUN
fcis-10208	103	15	from	from	ADP
fcis-10208	103	16	other	other	ADJ
fcis-10208	103	17	sources	source	NOUN
fcis-10208	103	18	in	in	ADP
fcis-10208	103	19	the	the	DET
fcis-10208	103	20	financial	financial	ADJ
fcis-10208	103	21	market	market	NOUN
fcis-10208	103	22	.	.	PUNCT
fcis-10208	104	1	for	for	ADP
fcis-10208	104	2	example	example	NOUN
fcis-10208	104	3	,	,	PUNCT
fcis-10208	104	4	investor	investor	NOUN
fcis-10208	104	5	sentiment	sentiment	NOUN
fcis-10208	104	6	,	,	PUNCT
fcis-10208	104	7	news	news	NOUN
fcis-10208	104	8	events	event	NOUN
fcis-10208	104	9	,	,	PUNCT
fcis-10208	104	10	etc	etc	X
fcis-10208	104	11	.	.	X
fcis-10208	105	1	all	all	PRON
fcis-10208	105	2	have	have	VERB
fcis-10208	105	3	an	an	DET
fcis-10208	105	4	impact	impact	NOUN
fcis-10208	105	5	on	on	ADP
fcis-10208	105	6	investors	investor	NOUN
fcis-10208	105	7	,	,	PUNCT
fcis-10208	105	8	so	so	SCONJ
fcis-10208	105	9	this	this	DET
fcis-10208	105	10	information	information	NOUN
fcis-10208	105	11	can	can	AUX
fcis-10208	105	12	be	be	AUX
fcis-10208	105	13	used	use	VERB
fcis-10208	105	14	to	to	PART
fcis-10208	105	15	improve	improve	VERB
fcis-10208	105	16	the	the	DET
fcis-10208	105	17	forecasting	forecasting	NOUN
fcis-10208	105	18	effect	effect	NOUN
fcis-10208	105	19	of	of	ADP
fcis-10208	105	20	the	the	DET
fcis-10208	105	21	model	model	NOUN
fcis-10208	105	22	.	.	PUNCT
fcis-10208	106	1	second	second	ADJ
fcis-10208	106	2	,	,	PUNCT
fcis-10208	106	3	the	the	DET
fcis-10208	106	4	stock	stock	NOUN
fcis-10208	106	5	data	datum	NOUN
fcis-10208	106	6	in	in	ADP
fcis-10208	106	7	this	this	DET
fcis-10208	106	8	article	article	NOUN
fcis-10208	106	9	comes	come	VERB
fcis-10208	106	10	from	from	ADP
fcis-10208	106	11	2020	2020	NUM
fcis-10208	106	12	to	to	ADP
fcis-10208	106	13	2021	2021	NUM
fcis-10208	106	14	,	,	PUNCT
fcis-10208	106	15	and	and	CCONJ
fcis-10208	106	16	the	the	DET
fcis-10208	106	17	data	data	NOUN
fcis-10208	106	18	cycle	cycle	NOUN
fcis-10208	106	19	may	may	AUX
fcis-10208	106	20	be	be	AUX
fcis-10208	106	21	a	a	DET
fcis-10208	106	22	bit	bit	NOUN
fcis-10208	106	23	short	short	ADJ
fcis-10208	106	24	.	.	PUNCT
fcis-10208	107	1	therefore	therefore	ADV
fcis-10208	107	2	,	,	PUNCT
fcis-10208	107	3	in	in	ADP
fcis-10208	107	4	the	the	DET
fcis-10208	107	5	follow	follow	VERB
fcis-10208	107	6	-	-	PUNCT
fcis-10208	107	7	up	up	ADP
fcis-10208	107	8	longerperiod	longerperiod	NOUN
fcis-10208	107	9	stock	stock	NOUN
fcis-10208	107	10	data	datum	NOUN
fcis-10208	107	11	can	can	AUX
fcis-10208	107	12	be	be	AUX
fcis-10208	107	13	used	use	VERB
fcis-10208	107	14	in	in	ADP
fcis-10208	107	15	the	the	DET
fcis-10208	107	16	research	research	NOUN
fcis-10208	107	17	to	to	PART
fcis-10208	107	18	better	well	ADV
fcis-10208	107	19	train	train	VERB
fcis-10208	107	20	the	the	DET
fcis-10208	107	21	model	model	NOUN
fcis-10208	107	22	.	.	PUNCT
fcis-10208	108	1	references	reference	NOUN
fcis-10208	108	2	[	[	X
fcis-10208	108	3	1	1	NUM
fcis-10208	108	4	]	]	X
fcis-10208	108	5	cao	cao	PROPN
fcis-10208	108	6	yanyan	yanyan	PROPN
fcis-10208	108	7	.	.	PUNCT
fcis-10208	109	1	(	(	PUNCT
fcis-10208	109	2	2023	2023	NUM
fcis-10208	109	3	)	)	PUNCT
fcis-10208	109	4	.	.	PUNCT
fcis-10208	110	1	lstm	lstm	PROPN
fcis-10208	110	2	model	model	NOUN
fcis-10208	110	3	optimization	optimization	NOUN
fcis-10208	110	4	and	and	CCONJ
fcis-10208	110	5	its	its	PRON
fcis-10208	110	6	application	application	NOUN
fcis-10208	110	7	research	research	NOUN
fcis-10208	110	8	in	in	ADP
fcis-10208	110	9	stock	stock	NOUN
fcis-10208	110	10	index	index	NOUN
fcis-10208	110	11	forecastin	forecastin	PROPN
fcis-10208	110	12	.	.	PUNCT
fcis-10208	111	1	master	master	NOUN
fcis-10208	111	2	's	's	PART
fcis-10208	111	3	degree	degree	NOUN
fcis-10208	111	4	thesis	thesis	NOUN
fcis-10208	111	5	of	of	ADP
fcis-10208	111	6	dongbei	dongbei	NOUN
fcis-10208	111	7	university	university	PROPN
fcis-10208	111	8	of	of	ADP
fcis-10208	111	9	finance	finance	NOUN
fcis-10208	111	10	and	and	CCONJ
fcis-10208	111	11	economics	economic	NOUN
fcis-10208	111	12	,	,	PUNCT
fcis-10208	111	13	55	55	NUM
fcis-10208	111	14	.	.	PUNCT
fcis-10208	112	1	[	[	X
fcis-10208	112	2	2	2	NUM
fcis-10208	112	3	]	]	X
fcis-10208	112	4	hui	hui	PROPN
fcis-10208	112	5	wenwen	wenwen	PROPN
fcis-10208	112	6	.	.	PUNCT
fcis-10208	113	1	(	(	PUNCT
fcis-10208	113	2	2022	2022	NUM
fcis-10208	113	3	)	)	PUNCT
fcis-10208	113	4	.	.	PUNCT
fcis-10208	114	1	research	research	NOUN
fcis-10208	114	2	on	on	ADP
fcis-10208	114	3	stock	stock	NOUN
fcis-10208	114	4	price	price	NOUN
fcis-10208	114	5	prediction	prediction	NOUN
fcis-10208	114	6	based	base	VERB
fcis-10208	114	7	on	on	ADP
fcis-10208	114	8	lstm	lstm	PROPN
fcis-10208	114	9	model	model	NOUN
fcis-10208	114	10	and	and	CCONJ
fcis-10208	114	11	multi	multi	ADJ
fcis-10208	114	12	-	-	ADJ
fcis-10208	114	13	source	source	NOUN
fcis-10208	114	14	data	datum	NOUN
fcis-10208	114	15	fusion	fusion	NOUN
fcis-10208	114	16	.	.	PUNCT
fcis-10208	115	1	master	master	NOUN
fcis-10208	115	2	's	's	PART
fcis-10208	115	3	thesis	thesis	NOUN
fcis-10208	115	4	of	of	ADP
fcis-10208	115	5	heilongjiang	heilongjiang	PROPN
fcis-10208	115	6	university	university	PROPN
fcis-10208	115	7	,	,	PUNCT
fcis-10208	115	8	62	62	NUM
fcis-10208	115	9	.	.	PUNCT
fcis-10208	116	1	[	[	X
fcis-10208	116	2	3	3	X
fcis-10208	116	3	]	]	X
fcis-10208	116	4	li	li	PROPN
fcis-10208	116	5	xuanli	xuanli	PROPN
fcis-10208	116	6	.	.	PUNCT
fcis-10208	117	1	(	(	PUNCT
fcis-10208	117	2	2023	2023	NUM
fcis-10208	117	3	)	)	PUNCT
fcis-10208	117	4	.	.	PUNCT
fcis-10208	118	1	prediction	prediction	NOUN
fcis-10208	118	2	of	of	ADP
fcis-10208	118	3	stock	stock	NOUN
fcis-10208	118	4	price	price	NOUN
fcis-10208	118	5	trends	trend	NOUN
fcis-10208	118	6	based	base	VERB
fcis-10208	118	7	on	on	ADP
fcis-10208	118	8	lstm	lstm	PROPN
fcis-10208	118	9	-	-	PUNCT
fcis-10208	118	10	cnn	cnn	PROPN
fcis-10208	118	11	hybrid	hybrid	NOUN
fcis-10208	118	12	model	model	NOUN
fcis-10208	118	13	based	base	VERB
fcis-10208	118	14	on	on	ADP
fcis-10208	118	15	investor	investor	NOUN
fcis-10208	118	16	sentiment	sentiment	NOUN
fcis-10208	118	17	(	(	PUNCT
fcis-10208	118	18	master	master	NOUN
fcis-10208	118	19	's	's	PART
fcis-10208	118	20	thesis	thesis	NOUN
fcis-10208	118	21	of	of	ADP
fcis-10208	118	22	shanghai	shanghai	PROPN
fcis-10208	118	23	international	international	PROPN
fcis-10208	118	24	studies	studies	PROPN
fcis-10208	118	25	university	university	PROPN
fcis-10208	118	26	,	,	PUNCT
fcis-10208	118	27	121	121	NUM
fcis-10208	118	28	.	.	PUNCT
fcis-10208	119	1	[	[	X
fcis-10208	119	2	4	4	X
fcis-10208	119	3	]	]	X
fcis-10208	119	4	zhu	zhu	PROPN
fcis-10208	119	5	wenchao	wenchao	PROPN
fcis-10208	119	6	.	.	PUNCT
fcis-10208	120	1	(	(	PUNCT
fcis-10208	120	2	2023	2023	NUM
fcis-10208	120	3	)	)	PUNCT
fcis-10208	120	4	.	.	PUNCT
fcis-10208	121	1	stock	stock	NOUN
fcis-10208	121	2	price	price	NOUN
fcis-10208	121	3	forecasting	forecasting	NOUN
fcis-10208	121	4	lstm	lstm	NOUN
fcis-10208	121	5	-	-	PUNCT
fcis-10208	121	6	based	base	VERB
fcis-10208	121	7	financial	financial	ADJ
fcis-10208	121	8	time	time	NOUN
fcis-10208	121	9	-	-	PUNCT
fcis-10208	121	10	series	series	NOUN
fcis-10208	121	11	data	datum	NOUN
fcis-10208	121	12	modeling	modeling	NOUN
fcis-10208	121	13	and	and	CCONJ
fcis-10208	121	14	decision	decision	NOUN
fcis-10208	121	15	-	-	PUNCT
fcis-10208	121	16	making	making	NOUN
fcis-10208	121	17	.	.	PUNCT
fcis-10208	122	1	modern	modern	ADJ
fcis-10208	122	2	marketing	marketing	NOUN
fcis-10208	122	3	(	(	PUNCT
fcis-10208	122	4	second	second	ADJ
fcis-10208	122	5	period	period	NOUN
fcis-10208	122	6	)	)	PUNCT
fcis-10208	122	7	(	(	PUNCT
fcis-10208	122	8	03	03	NUM
fcis-10208	122	9	)	)	PUNCT
fcis-10208	122	10	,	,	PUNCT
fcis-10208	122	11	39	39	NUM
fcis-10208	122	12	-	-	SYM
fcis-10208	122	13	41	41	NUM
fcis-10208	122	14	.	.	PUNCT
fcis-10208	123	1	[	[	X
fcis-10208	123	2	5	5	X
fcis-10208	123	3	]	]	X
fcis-10208	123	4	zhang	zhang	PROPN
fcis-10208	123	5	ni	ni	PROPN
fcis-10208	123	6	.	.	PROPN
fcis-10208	123	7	(	(	PUNCT
fcis-10208	123	8	2021	2021	NUM
fcis-10208	123	9	)	)	PUNCT
fcis-10208	123	10	.	.	PUNCT
fcis-10208	124	1	research	research	NOUN
fcis-10208	124	2	on	on	ADP
fcis-10208	124	3	the	the	DET
fcis-10208	124	4	application	application	NOUN
fcis-10208	124	5	of	of	ADP
fcis-10208	124	6	stock	stock	NOUN
fcis-10208	124	7	price	price	NOUN
fcis-10208	124	8	prediction	prediction	NOUN
fcis-10208	124	9	based	base	VERB
fcis-10208	124	10	on	on	ADP
fcis-10208	124	11	lstm	lstm	ADJ
fcis-10208	124	12	neural	neural	ADJ
fcis-10208	124	13	network	network	NOUN
fcis-10208	124	14	.	.	PUNCT
fcis-10208	125	1	modern	modern	ADJ
fcis-10208	125	2	business	business	NOUN
fcis-10208	125	3	(	(	PUNCT
fcis-10208	125	4	16	16	NUM
fcis-10208	125	5	)	)	PUNCT
fcis-10208	125	6	,	,	PUNCT
fcis-10208	125	7	116	116	NUM
fcis-10208	125	8	-	-	SYM
fcis-10208	125	9	118	118	NUM
fcis-10208	125	10	.	.	PUNCT
fcis-10208	126	1	[	[	X
fcis-10208	126	2	6	6	NUM
fcis-10208	126	3	]	]	X
fcis-10208	126	4	zhang	zhang	PROPN
fcis-10208	126	5	xuntao	xuntao	PROPN
fcis-10208	126	6	&	&	CCONJ
fcis-10208	126	7	fan	fan	PROPN
fcis-10208	126	8	yongsheng	yongsheng	PROPN
fcis-10208	126	9	.	.	PUNCT
fcis-10208	127	1	(	(	PUNCT
fcis-10208	127	2	2023	2023	NUM
fcis-10208	127	3	)	)	PUNCT
fcis-10208	127	4	.	.	PUNCT
fcis-10208	128	1	lstm	lstm	PROPN
fcis-10208	128	2	model	model	NOUN
fcis-10208	128	3	based	base	VERB
fcis-10208	128	4	on	on	ADP
fcis-10208	128	5	xgboost	xgboost	X
fcis-10208	128	6	feature	feature	NOUN
fcis-10208	128	7	selection	selection	NOUN
fcis-10208	128	8	to	to	PART
fcis-10208	128	9	evaluate	evaluate	VERB
fcis-10208	128	10	stock	stock	NOUN
fcis-10208	128	11	trend	trend	NOUN
fcis-10208	128	12	analysis	analysis	NOUN
fcis-10208	128	13	.	.	PUNCT
fcis-10208	129	1	computer	computer	NOUN
fcis-10208	129	2	knowledge	knowledge	NOUN
fcis-10208	129	3	and	and	CCONJ
fcis-10208	129	4	technology	technology	NOUN
fcis-10208	129	5	(	(	PUNCT
fcis-10208	129	6	09	09	NUM
fcis-10208	129	7	)	)	PUNCT
fcis-10208	129	8	,	,	PUNCT
fcis-10208	129	9	9194	9194	NUM
fcis-10208	129	10	+	+	NOUN
fcis-10208	129	11	97	97	NUM
fcis-10208	129	12	.	.	PUNCT
fcis-10208	130	1	[	[	X
fcis-10208	130	2	7	7	X
fcis-10208	130	3	]	]	X
fcis-10208	130	4	ding	ding	NOUN
fcis-10208	130	5	xin	xin	PROPN
fcis-10208	130	6	.	.	PUNCT
fcis-10208	131	1	(	(	PUNCT
fcis-10208	131	2	2022	2022	NUM
fcis-10208	131	3	)	)	PUNCT
fcis-10208	131	4	.	.	PUNCT
fcis-10208	132	1	the	the	DET
fcis-10208	132	2	impact	impact	NOUN
fcis-10208	132	3	of	of	ADP
fcis-10208	132	4	individual	individual	ADJ
fcis-10208	132	5	investors	investor	NOUN
fcis-10208	132	6	'	'	PART
fcis-10208	132	7	investment	investment	NOUN
fcis-10208	132	8	behavior	behavior	NOUN
fcis-10208	132	9	on	on	ADP
fcis-10208	132	10	their	their	PRON
fcis-10208	132	11	stock	stock	NOUN
fcis-10208	132	12	market	market	NOUN
fcis-10208	132	13	investment	investment	NOUN
fcis-10208	132	14	performance	performance	NOUN
fcis-10208	132	15	.	.	PUNCT
fcis-10208	133	1	national	national	ADJ
fcis-10208	133	2	circulation	circulation	NOUN
fcis-10208	133	3	economy	economy	NOUN
fcis-10208	133	4	(	(	PUNCT
fcis-10208	133	5	36	36	NUM
fcis-10208	133	6	)	)	PUNCT
fcis-10208	133	7	,	,	PUNCT
fcis-10208	133	8	121	121	NUM
fcis-10208	133	9	-	-	SYM
fcis-10208	133	10	124	124	NUM
fcis-10208	133	11	.	.	PUNCT
fcis-10208	134	1	[	[	X
fcis-10208	134	2	8	8	NUM
fcis-10208	134	3	]	]	X
fcis-10208	134	4	yue	yue	PROPN
fcis-10208	134	5	songtao	songtao	PROPN
fcis-10208	134	6	.	.	PUNCT
fcis-10208	135	1	(	(	PUNCT
fcis-10208	135	2	2023	2023	NUM
fcis-10208	135	3	)	)	PUNCT
fcis-10208	135	4	.	.	PUNCT
fcis-10208	136	1	prediction	prediction	NOUN
fcis-10208	136	2	of	of	ADP
fcis-10208	136	3	high	high	ADJ
fcis-10208	136	4	-	-	PUNCT
fcis-10208	136	5	frequency	frequency	NOUN
fcis-10208	136	6	stocks	stock	NOUN
fcis-10208	136	7	based	base	VERB
fcis-10208	136	8	on	on	ADP
fcis-10208	136	9	investor	investor	NOUN
fcis-10208	136	10	sentiment	sentiment	NOUN
fcis-10208	136	11	.	.	PUNCT
fcis-10208	137	1	exhibition	exhibition	NOUN
fcis-10208	137	2	economy	economy	NOUN
fcis-10208	137	3	(	(	PUNCT
fcis-10208	137	4	08	08	NUM
fcis-10208	137	5	)	)	PUNCT
fcis-10208	137	6	,	,	PUNCT
fcis-10208	137	7	108111	108111	NUM
fcis-10208	137	8	.	.	PUNCT