id	sid	tid	token	lemma	pos
fbem-6616	1	1	frontiers	frontier	NOUN
fbem-6616	1	2	in	in	ADP
fbem-6616	1	3	business	business	NOUN
fbem-6616	1	4	,	,	PUNCT
fbem-6616	1	5	economics	economic	NOUN
fbem-6616	1	6	and	and	CCONJ
fbem-6616	1	7	management	management	NOUN
fbem-6616	1	8	issn	issn	PROPN
fbem-6616	1	9	:	:	PUNCT
fbem-6616	1	10	2766	2766	NUM
fbem-6616	1	11	-	-	PUNCT
fbem-6616	1	12	824x	824x	NUM
fbem-6616	1	13	|	|	ADJ
fbem-6616	1	14	vol	vol	NOUN
fbem-6616	1	15	.	.	PROPN
fbem-6616	1	16	8	8	NUM
fbem-6616	1	17	,	,	PUNCT
fbem-6616	1	18	no	no	INTJ
fbem-6616	1	19	.	.	NOUN
fbem-6616	1	20	2	2	NUM
fbem-6616	1	21	,	,	PUNCT
fbem-6616	1	22	2023	2023	NUM
fbem-6616	1	23	51	51	NUM
fbem-6616	1	24	challenge	challenge	NOUN
fbem-6616	1	25	and	and	CCONJ
fbem-6616	1	26	opportunity	opportunity	NOUN
fbem-6616	1	27	:	:	PUNCT
fbem-6616	1	28	deep	deep	ADJ
fbem-6616	1	29	learning	learning	NOUN
fbem-6616	1	30	-	-	PUNCT
fbem-6616	1	31	based	base	VERB
fbem-6616	1	32	stock	stock	NOUN
fbem-6616	1	33	price	price	NOUN
fbem-6616	1	34	prediction	prediction	NOUN
fbem-6616	1	35	by	by	ADP
fbem-6616	1	36	using	use	VERB
fbem-6616	1	37	bi	bi	ADJ
fbem-6616	1	38	-	-	ADJ
fbem-6616	1	39	directional	directional	ADJ
fbem-6616	1	40	lstm	lstm	NOUN
fbem-6616	1	41	model	model	PROPN
fbem-6616	1	42	chenyu	chenyu	PROPN
fbem-6616	1	43	han1	han1	PROPN
fbem-6616	1	44	,	,	PUNCT
fbem-6616	1	45	xiaoyu	xiaoyu	PROPN
fbem-6616	1	46	fu2	fu2	PROPN
fbem-6616	1	47	,	,	PUNCT
fbem-6616	1	48	*	*	PROPN
fbem-6616	1	49	1department	1department	NUM
fbem-6616	1	50	of	of	ADP
fbem-6616	1	51	industrial	industrial	ADJ
fbem-6616	1	52	and	and	CCONJ
fbem-6616	1	53	systems	system	NOUN
fbem-6616	1	54	engineering	engineering	NOUN
fbem-6616	1	55	,	,	PUNCT
fbem-6616	1	56	rutgers	rutgers	PROPN
fbem-6616	1	57	university	university	PROPN
fbem-6616	1	58	,	,	PUNCT
fbem-6616	1	59	new	new	PROPN
fbem-6616	1	60	brunswick	brunswick	PROPN
fbem-6616	1	61	,	,	PUNCT
fbem-6616	1	62	united	united	PROPN
fbem-6616	1	63	states	states	PROPN
fbem-6616	1	64	2department	2department	PROPN
fbem-6616	1	65	of	of	ADP
fbem-6616	1	66	economics	economic	NOUN
fbem-6616	1	67	,	,	PUNCT
fbem-6616	1	68	rutgers	rutgers	PROPN
fbem-6616	1	69	university	university	PROPN
fbem-6616	1	70	,	,	PUNCT
fbem-6616	1	71	newark	newark	PROPN
fbem-6616	1	72	,	,	PUNCT
fbem-6616	1	73	united	united	PROPN
fbem-6616	1	74	states	states	PROPN
fbem-6616	1	75	*	*	PUNCT
fbem-6616	1	76	corresponding	correspond	VERB
fbem-6616	1	77	author	author	NOUN
fbem-6616	1	78	:	:	PUNCT
fbem-6616	1	79	xf61@rutgers.edu	xf61@rutgers.edu	PUNCT
fbem-6616	2	1	abstract	abstract	ADJ
fbem-6616	2	2	:	:	PUNCT
fbem-6616	2	3	stock	stock	NOUN
fbem-6616	2	4	price	price	NOUN
fbem-6616	2	5	prediction	prediction	NOUN
fbem-6616	2	6	is	be	AUX
fbem-6616	2	7	a	a	DET
fbem-6616	2	8	challenging	challenging	ADJ
fbem-6616	2	9	and	and	CCONJ
fbem-6616	2	10	important	important	ADJ
fbem-6616	2	11	task	task	NOUN
fbem-6616	2	12	in	in	ADP
fbem-6616	2	13	finance	finance	NOUN
fbem-6616	2	14	,	,	PUNCT
fbem-6616	2	15	with	with	ADP
fbem-6616	2	16	many	many	ADJ
fbem-6616	2	17	potential	potential	ADJ
fbem-6616	2	18	applications	application	NOUN
fbem-6616	2	19	in	in	ADP
fbem-6616	2	20	investment	investment	NOUN
fbem-6616	2	21	,	,	PUNCT
fbem-6616	2	22	risk	risk	NOUN
fbem-6616	2	23	management	management	NOUN
fbem-6616	2	24	,	,	PUNCT
fbem-6616	2	25	and	and	CCONJ
fbem-6616	2	26	portfolio	portfolio	NOUN
fbem-6616	2	27	optimization	optimization	NOUN
fbem-6616	2	28	.	.	PUNCT
fbem-6616	3	1	in	in	ADP
fbem-6616	3	2	this	this	DET
fbem-6616	3	3	paper	paper	NOUN
fbem-6616	3	4	,	,	PUNCT
fbem-6616	3	5	we	we	PRON
fbem-6616	3	6	propose	propose	VERB
fbem-6616	3	7	a	a	DET
fbem-6616	3	8	bi	bi	ADJ
fbem-6616	3	9	-	-	ADJ
fbem-6616	3	10	directional	directional	ADJ
fbem-6616	3	11	long	long	ADJ
fbem-6616	3	12	short	short	ADJ
fbem-6616	3	13	-	-	PUNCT
fbem-6616	3	14	term	term	NOUN
fbem-6616	3	15	memory	memory	NOUN
fbem-6616	3	16	(	(	PUNCT
fbem-6616	3	17	bi	bi	NOUN
fbem-6616	3	18	-	-	ADJ
fbem-6616	3	19	lstm	lstm	ADJ
fbem-6616	3	20	)	)	PUNCT
fbem-6616	3	21	model	model	NOUN
fbem-6616	3	22	for	for	ADP
fbem-6616	3	23	predicting	predict	VERB
fbem-6616	3	24	the	the	DET
fbem-6616	3	25	future	future	ADJ
fbem-6616	3	26	price	price	NOUN
fbem-6616	3	27	of	of	ADP
fbem-6616	3	28	a	a	DET
fbem-6616	3	29	stock	stock	NOUN
fbem-6616	3	30	based	base	VERB
fbem-6616	3	31	on	on	ADP
fbem-6616	3	32	its	its	PRON
fbem-6616	3	33	historical	historical	ADJ
fbem-6616	3	34	prices	price	NOUN
fbem-6616	3	35	.	.	PUNCT
fbem-6616	4	1	the	the	DET
fbem-6616	4	2	bi	bi	ADJ
fbem-6616	4	3	-	-	ADJ
fbem-6616	4	4	lstm	lstm	ADJ
fbem-6616	4	5	model	model	NOUN
fbem-6616	4	6	is	be	AUX
fbem-6616	4	7	a	a	DET
fbem-6616	4	8	variant	variant	NOUN
fbem-6616	4	9	of	of	ADP
fbem-6616	4	10	the	the	DET
fbem-6616	4	11	popular	popular	ADJ
fbem-6616	4	12	lstm	lstm	NOUN
fbem-6616	4	13	model	model	NOUN
fbem-6616	4	14	that	that	PRON
fbem-6616	4	15	is	be	AUX
fbem-6616	4	16	capable	capable	ADJ
fbem-6616	4	17	of	of	ADP
fbem-6616	4	18	processing	processing	NOUN
fbem-6616	4	19	input	input	NOUN
fbem-6616	4	20	sequences	sequence	NOUN
fbem-6616	4	21	in	in	ADP
fbem-6616	4	22	both	both	CCONJ
fbem-6616	4	23	forward	forward	ADJ
fbem-6616	4	24	and	and	CCONJ
fbem-6616	4	25	backward	backward	ADJ
fbem-6616	4	26	directions	direction	NOUN
fbem-6616	4	27	,	,	PUNCT
fbem-6616	4	28	allowing	allow	VERB
fbem-6616	4	29	it	it	PRON
fbem-6616	4	30	to	to	PART
fbem-6616	4	31	capture	capture	VERB
fbem-6616	4	32	both	both	DET
fbem-6616	4	33	shortand	shortand	NOUN
fbem-6616	4	34	long	long	ADJ
fbem-6616	4	35	-	-	PUNCT
fbem-6616	4	36	term	term	NOUN
fbem-6616	4	37	dependencies	dependency	NOUN
fbem-6616	4	38	in	in	ADP
fbem-6616	4	39	the	the	DET
fbem-6616	4	40	data	datum	NOUN
fbem-6616	4	41	.	.	PUNCT
fbem-6616	5	1	we	we	PRON
fbem-6616	5	2	apply	apply	VERB
fbem-6616	5	3	the	the	DET
fbem-6616	5	4	bi	bi	ADJ
fbem-6616	5	5	-	-	ADJ
fbem-6616	5	6	lstm	lstm	ADJ
fbem-6616	5	7	model	model	NOUN
fbem-6616	5	8	to	to	ADP
fbem-6616	5	9	historical	historical	ADJ
fbem-6616	5	10	stock	stock	NOUN
fbem-6616	5	11	price	price	NOUN
fbem-6616	5	12	data	datum	NOUN
fbem-6616	5	13	for	for	ADP
fbem-6616	5	14	apple	apple	PROPN
fbem-6616	5	15	inc	inc	PROPN
fbem-6616	5	16	.	.	PROPN
fbem-6616	5	17	and	and	CCONJ
fbem-6616	5	18	evaluate	evaluate	VERB
fbem-6616	5	19	its	its	PRON
fbem-6616	5	20	performance	performance	NOUN
fbem-6616	5	21	using	use	VERB
fbem-6616	5	22	mean	mean	NOUN
fbem-6616	5	23	squared	square	VERB
fbem-6616	5	24	error	error	NOUN
fbem-6616	5	25	(	(	PUNCT
fbem-6616	5	26	mse	mse	NOUN
fbem-6616	5	27	)	)	PUNCT
fbem-6616	5	28	and	and	CCONJ
fbem-6616	5	29	visual	visual	ADJ
fbem-6616	5	30	inspection	inspection	NOUN
fbem-6616	5	31	of	of	ADP
fbem-6616	5	32	actual	actual	ADJ
fbem-6616	5	33	vs.	vs.	ADP
fbem-6616	5	34	predicted	predict	VERB
fbem-6616	5	35	prices	price	NOUN
fbem-6616	5	36	.	.	PUNCT
fbem-6616	6	1	our	our	PRON
fbem-6616	6	2	experiments	experiment	NOUN
fbem-6616	6	3	show	show	VERB
fbem-6616	6	4	that	that	SCONJ
fbem-6616	6	5	the	the	DET
fbem-6616	6	6	bi	bi	ADJ
fbem-6616	6	7	-	-	ADJ
fbem-6616	6	8	lstm	lstm	ADJ
fbem-6616	6	9	model	model	NOUN
fbem-6616	6	10	is	be	AUX
fbem-6616	6	11	able	able	ADJ
fbem-6616	6	12	to	to	PART
fbem-6616	6	13	make	make	VERB
fbem-6616	6	14	accurate	accurate	ADJ
fbem-6616	6	15	predictions	prediction	NOUN
fbem-6616	6	16	on	on	ADP
fbem-6616	6	17	the	the	DET
fbem-6616	6	18	testing	testing	NOUN
fbem-6616	6	19	data	datum	NOUN
fbem-6616	6	20	and	and	CCONJ
fbem-6616	6	21	capture	capture	VERB
fbem-6616	6	22	some	some	PRON
fbem-6616	6	23	of	of	ADP
fbem-6616	6	24	the	the	DET
fbem-6616	6	25	trends	trend	NOUN
fbem-6616	6	26	and	and	CCONJ
fbem-6616	6	27	patterns	pattern	NOUN
fbem-6616	6	28	in	in	ADP
fbem-6616	6	29	the	the	DET
fbem-6616	6	30	data	datum	NOUN
fbem-6616	6	31	,	,	PUNCT
fbem-6616	6	32	although	although	SCONJ
fbem-6616	6	33	it	it	PRON
fbem-6616	6	34	may	may	AUX
fbem-6616	6	35	struggle	struggle	VERB
fbem-6616	6	36	with	with	ADP
fbem-6616	6	37	sudden	sudden	ADJ
fbem-6616	6	38	changes	change	NOUN
fbem-6616	6	39	in	in	ADP
fbem-6616	6	40	the	the	DET
fbem-6616	6	41	market	market	NOUN
fbem-6616	6	42	.	.	PUNCT
fbem-6616	7	1	overall	overall	ADV
fbem-6616	7	2	,	,	PUNCT
fbem-6616	7	3	our	our	PRON
fbem-6616	7	4	results	result	NOUN
fbem-6616	7	5	suggest	suggest	VERB
fbem-6616	7	6	that	that	SCONJ
fbem-6616	7	7	the	the	DET
fbem-6616	7	8	bi	bi	ADJ
fbem-6616	7	9	-	-	ADJ
fbem-6616	7	10	lstm	lstm	ADJ
fbem-6616	7	11	model	model	NOUN
fbem-6616	7	12	is	be	AUX
fbem-6616	7	13	a	a	DET
fbem-6616	7	14	promising	promising	ADJ
fbem-6616	7	15	tool	tool	NOUN
fbem-6616	7	16	for	for	ADP
fbem-6616	7	17	stock	stock	NOUN
fbem-6616	7	18	price	price	NOUN
fbem-6616	7	19	prediction	prediction	NOUN
fbem-6616	7	20	and	and	CCONJ
fbem-6616	7	21	has	have	VERB
fbem-6616	7	22	many	many	ADJ
fbem-6616	7	23	potential	potential	ADJ
fbem-6616	7	24	applications	application	NOUN
fbem-6616	7	25	in	in	ADP
fbem-6616	7	26	finance	finance	NOUN
fbem-6616	7	27	and	and	CCONJ
fbem-6616	7	28	investment	investment	NOUN
fbem-6616	7	29	.	.	PUNCT
fbem-6616	8	1	keywords	keyword	NOUN
fbem-6616	8	2	:	:	PUNCT
fbem-6616	8	3	bi	bi	ADJ
fbem-6616	8	4	-	-	ADJ
fbem-6616	8	5	directional	directional	ADJ
fbem-6616	8	6	long	long	ADJ
fbem-6616	8	7	short	short	ADJ
fbem-6616	8	8	-	-	PUNCT
fbem-6616	8	9	term	term	NOUN
fbem-6616	8	10	memory	memory	NOUN
fbem-6616	8	11	(	(	PUNCT
fbem-6616	8	12	bi	bi	NOUN
fbem-6616	8	13	-	-	ADJ
fbem-6616	8	14	lstm	lstm	ADJ
fbem-6616	8	15	)	)	PUNCT
fbem-6616	8	16	,	,	PUNCT
fbem-6616	8	17	deep	deep	ADJ
fbem-6616	8	18	learning	learning	NOUN
fbem-6616	8	19	,	,	PUNCT
fbem-6616	8	20	machine	machine	NOUN
fbem-6616	8	21	learning	learning	NOUN
fbem-6616	8	22	,	,	PUNCT
fbem-6616	8	23	finance	finance	NOUN
fbem-6616	8	24	,	,	PUNCT
fbem-6616	8	25	investment	investment	NOUN
fbem-6616	8	26	.	.	PUNCT
fbem-6616	9	1	1	1	X
fbem-6616	9	2	.	.	X
fbem-6616	9	3	introduction	introduction	NOUN
fbem-6616	9	4	the	the	DET
fbem-6616	9	5	financial	financial	ADJ
fbem-6616	9	6	industry	industry	NOUN
fbem-6616	9	7	is	be	AUX
fbem-6616	9	8	one	one	NUM
fbem-6616	9	9	of	of	ADP
fbem-6616	9	10	the	the	DET
fbem-6616	9	11	most	most	ADV
fbem-6616	9	12	important	important	ADJ
fbem-6616	9	13	industries	industry	NOUN
fbem-6616	9	14	in	in	ADP
fbem-6616	9	15	the	the	DET
fbem-6616	9	16	world	world	NOUN
fbem-6616	9	17	,	,	PUNCT
fbem-6616	9	18	as	as	SCONJ
fbem-6616	9	19	it	it	PRON
fbem-6616	9	20	is	be	AUX
fbem-6616	9	21	responsible	responsible	ADJ
fbem-6616	9	22	for	for	ADP
fbem-6616	9	23	the	the	DET
fbem-6616	9	24	management	management	NOUN
fbem-6616	9	25	and	and	CCONJ
fbem-6616	9	26	allocation	allocation	NOUN
fbem-6616	9	27	of	of	ADP
fbem-6616	9	28	money	money	NOUN
fbem-6616	9	29	and	and	CCONJ
fbem-6616	9	30	resources[1	resources[1	NOUN
fbem-6616	9	31	]	]	PUNCT
fbem-6616	9	32	.	.	PUNCT
fbem-6616	10	1	the	the	DET
fbem-6616	10	2	industry	industry	NOUN
fbem-6616	10	3	has	have	AUX
fbem-6616	10	4	seen	see	VERB
fbem-6616	10	5	significant	significant	ADJ
fbem-6616	10	6	growth	growth	NOUN
fbem-6616	10	7	and	and	CCONJ
fbem-6616	10	8	development	development	NOUN
fbem-6616	10	9	over	over	ADP
fbem-6616	10	10	the	the	DET
fbem-6616	10	11	years	year	NOUN
fbem-6616	10	12	,	,	PUNCT
fbem-6616	10	13	with	with	ADP
fbem-6616	10	14	the	the	DET
fbem-6616	10	15	introduction	introduction	NOUN
fbem-6616	10	16	of	of	ADP
fbem-6616	10	17	various	various	ADJ
fbem-6616	10	18	technological	technological	ADJ
fbem-6616	10	19	advancements[2	advancements[2	NOUN
fbem-6616	10	20	,	,	PUNCT
fbem-6616	10	21	3	3	NUM
fbem-6616	10	22	]	]	PUNCT
fbem-6616	10	23	.	.	PUNCT
fbem-6616	11	1	one	one	NUM
fbem-6616	11	2	of	of	ADP
fbem-6616	11	3	the	the	DET
fbem-6616	11	4	most	most	ADV
fbem-6616	11	5	important	important	ADJ
fbem-6616	11	6	developments	development	NOUN
fbem-6616	11	7	in	in	ADP
fbem-6616	11	8	recent	recent	ADJ
fbem-6616	11	9	times	time	NOUN
fbem-6616	11	10	is	be	AUX
fbem-6616	11	11	the	the	DET
fbem-6616	11	12	use	use	NOUN
fbem-6616	11	13	of	of	ADP
fbem-6616	11	14	machine	machine	NOUN
fbem-6616	11	15	learning	learning	NOUN
fbem-6616	11	16	algorithms	algorithm	NOUN
fbem-6616	11	17	,	,	PUNCT
fbem-6616	11	18	which	which	PRON
fbem-6616	11	19	have	have	AUX
fbem-6616	11	20	been	be	AUX
fbem-6616	11	21	used	use	VERB
fbem-6616	11	22	to	to	PART
fbem-6616	11	23	analyze	analyze	VERB
fbem-6616	11	24	financial	financial	ADJ
fbem-6616	11	25	data	datum	NOUN
fbem-6616	11	26	and	and	CCONJ
fbem-6616	11	27	make	make	VERB
fbem-6616	11	28	predictions.[4	predictions.[4	NOUN
fbem-6616	11	29	,	,	PUNCT
fbem-6616	11	30	5	5	NUM
fbem-6616	11	31	]	]	PUNCT
fbem-6616	11	32	in	in	ADP
fbem-6616	11	33	this	this	DET
fbem-6616	11	34	paper	paper	NOUN
fbem-6616	11	35	,	,	PUNCT
fbem-6616	11	36	we	we	PRON
fbem-6616	11	37	will	will	AUX
fbem-6616	11	38	use	use	VERB
fbem-6616	11	39	a	a	DET
fbem-6616	11	40	bidirectional	bidirectional	ADJ
fbem-6616	11	41	long	long	ADJ
fbem-6616	11	42	short	short	ADJ
fbem-6616	11	43	-	-	PUNCT
fbem-6616	11	44	term	term	NOUN
fbem-6616	11	45	memory	memory	NOUN
fbem-6616	11	46	(	(	PUNCT
fbem-6616	11	47	bi	bi	NOUN
fbem-6616	11	48	-	-	ADJ
fbem-6616	11	49	lstm	lstm	ADJ
fbem-6616	11	50	)	)	PUNCT
fbem-6616	11	51	neural	neural	ADJ
fbem-6616	11	52	network	network	NOUN
fbem-6616	11	53	to	to	PART
fbem-6616	11	54	analyze	analyze	VERB
fbem-6616	11	55	financial	financial	ADJ
fbem-6616	11	56	data	datum	NOUN
fbem-6616	11	57	.	.	PUNCT
fbem-6616	12	1	the	the	DET
fbem-6616	12	2	bi	bi	NOUN
fbem-6616	12	3	-	-	NOUN
fbem-6616	12	4	lstm	lstm	ADJ
fbem-6616	12	5	is	be	AUX
fbem-6616	12	6	a	a	DET
fbem-6616	12	7	type	type	NOUN
fbem-6616	12	8	of	of	ADP
fbem-6616	12	9	recurrent	recurrent	ADJ
fbem-6616	12	10	neural	neural	ADJ
fbem-6616	12	11	network	network	NOUN
fbem-6616	12	12	(	(	PUNCT
fbem-6616	12	13	rnn	rnn	PROPN
fbem-6616	12	14	)	)	PUNCT
fbem-6616	12	15	that	that	PRON
fbem-6616	12	16	is	be	AUX
fbem-6616	12	17	well	well	ADV
fbem-6616	12	18	-	-	PUNCT
fbem-6616	12	19	suited	suit	VERB
fbem-6616	12	20	to	to	PART
fbem-6616	12	21	analyze	analyze	VERB
fbem-6616	12	22	time	time	NOUN
fbem-6616	12	23	series	series	PROPN
fbem-6616	12	24	data.[6	data.[6	PROPN
fbem-6616	12	25	,	,	PUNCT
fbem-6616	12	26	7	7	NUM
fbem-6616	12	27	]	]	PUNCT
fbem-6616	12	28	the	the	DET
fbem-6616	12	29	bilstm	bilstm	NOUN
fbem-6616	12	30	is	be	AUX
fbem-6616	12	31	a	a	DET
fbem-6616	12	32	variant	variant	NOUN
fbem-6616	12	33	of	of	ADP
fbem-6616	12	34	the	the	DET
fbem-6616	12	35	long	long	ADJ
fbem-6616	12	36	short	short	ADJ
fbem-6616	12	37	-	-	PUNCT
fbem-6616	12	38	term	term	NOUN
fbem-6616	12	39	memory	memory	NOUN
fbem-6616	12	40	(	(	PUNCT
fbem-6616	12	41	lstm	lstm	NOUN
fbem-6616	12	42	)	)	PUNCT
fbem-6616	12	43	model	model	NOUN
fbem-6616	12	44	that	that	PRON
fbem-6616	12	45	is	be	AUX
fbem-6616	12	46	capable	capable	ADJ
fbem-6616	12	47	of	of	ADP
fbem-6616	12	48	processing	processing	NOUN
fbem-6616	12	49	input	input	NOUN
fbem-6616	12	50	sequences	sequence	NOUN
fbem-6616	12	51	in	in	ADP
fbem-6616	12	52	both	both	CCONJ
fbem-6616	12	53	forward	forward	ADJ
fbem-6616	12	54	and	and	CCONJ
fbem-6616	12	55	backward	backward	ADJ
fbem-6616	12	56	directions	direction	NOUN
fbem-6616	12	57	.	.	PUNCT
fbem-6616	13	1	[	[	X
fbem-6616	13	2	8	8	NUM
fbem-6616	13	3	,	,	PUNCT
fbem-6616	13	4	9]the	9]the	PRON
fbem-6616	13	5	basic	basic	ADJ
fbem-6616	13	6	lstm	lstm	NOUN
fbem-6616	13	7	model	model	NOUN
fbem-6616	13	8	is	be	AUX
fbem-6616	13	9	a	a	DET
fbem-6616	13	10	type	type	NOUN
fbem-6616	13	11	of	of	ADP
fbem-6616	13	12	recurrent	recurrent	ADJ
fbem-6616	13	13	neural	neural	ADJ
fbem-6616	13	14	network	network	NOUN
fbem-6616	13	15	(	(	PUNCT
fbem-6616	13	16	rnn	rnn	PROPN
fbem-6616	13	17	)	)	PUNCT
fbem-6616	13	18	that	that	PRON
fbem-6616	13	19	is	be	AUX
fbem-6616	13	20	commonly	commonly	ADV
fbem-6616	13	21	used	use	VERB
fbem-6616	13	22	for	for	ADP
fbem-6616	13	23	sequential	sequential	ADJ
fbem-6616	13	24	data	datum	NOUN
fbem-6616	13	25	analysis	analysis	NOUN
fbem-6616	13	26	,	,	PUNCT
fbem-6616	13	27	such	such	ADJ
fbem-6616	13	28	as	as	ADP
fbem-6616	13	29	time	time	NOUN
fbem-6616	13	30	series	series	PROPN
fbem-6616	13	31	forecasting.[10	forecasting.[10	PROPN
fbem-6616	13	32	]	]	PUNCT
fbem-6616	13	33	the	the	DET
fbem-6616	13	34	bi	bi	ADJ
fbem-6616	13	35	-	-	ADJ
fbem-6616	13	36	lstm	lstm	ADJ
fbem-6616	13	37	model	model	NOUN
fbem-6616	13	38	extends	extend	VERB
fbem-6616	13	39	the	the	DET
fbem-6616	13	40	basic	basic	ADJ
fbem-6616	13	41	lstm	lstm	NOUN
fbem-6616	13	42	by	by	ADP
fbem-6616	13	43	adding	add	VERB
fbem-6616	13	44	a	a	DET
fbem-6616	13	45	second	second	ADJ
fbem-6616	13	46	lstm	lstm	NOUN
fbem-6616	13	47	layer	layer	NOUN
fbem-6616	13	48	that	that	PRON
fbem-6616	13	49	processes	process	VERB
fbem-6616	13	50	the	the	DET
fbem-6616	13	51	input	input	NOUN
fbem-6616	13	52	sequence	sequence	NOUN
fbem-6616	13	53	in	in	ADP
fbem-6616	13	54	reverse	reverse	ADJ
fbem-6616	13	55	order	order	NOUN
fbem-6616	13	56	.	.	PUNCT
fbem-6616	14	1	[	[	X
fbem-6616	14	2	11	11	NUM
fbem-6616	14	3	,	,	PUNCT
fbem-6616	14	4	12]this	12]this	NUM
fbem-6616	14	5	allows	allow	VERB
fbem-6616	14	6	the	the	DET
fbem-6616	14	7	model	model	NOUN
fbem-6616	14	8	to	to	PART
fbem-6616	14	9	capture	capture	VERB
fbem-6616	14	10	both	both	CCONJ
fbem-6616	14	11	forward	forward	ADV
fbem-6616	14	12	and	and	CCONJ
fbem-6616	14	13	backward	backward	ADJ
fbem-6616	14	14	dependencies	dependency	NOUN
fbem-6616	14	15	in	in	ADP
fbem-6616	14	16	the	the	DET
fbem-6616	14	17	input	input	NOUN
fbem-6616	14	18	data	datum	NOUN
fbem-6616	14	19	,	,	PUNCT
fbem-6616	14	20	which	which	PRON
fbem-6616	14	21	can	can	AUX
fbem-6616	14	22	be	be	AUX
fbem-6616	14	23	useful	useful	ADJ
fbem-6616	14	24	for	for	ADP
fbem-6616	14	25	tasks	task	NOUN
fbem-6616	14	26	such	such	ADJ
fbem-6616	14	27	as	as	ADP
fbem-6616	14	28	speech	speech	NOUN
fbem-6616	14	29	recognition	recognition	NOUN
fbem-6616	14	30	,	,	PUNCT
fbem-6616	14	31	natural	natural	ADJ
fbem-6616	14	32	language	language	NOUN
fbem-6616	14	33	processing	processing	NOUN
fbem-6616	14	34	,	,	PUNCT
fbem-6616	14	35	and	and	CCONJ
fbem-6616	14	36	stock	stock	NOUN
fbem-6616	14	37	price	price	NOUN
fbem-6616	14	38	prediction.[13	prediction.[13	PROPN
fbem-6616	14	39	-	-	PUNCT
fbem-6616	14	40	15	15	NUM
fbem-6616	14	41	]	]	PUNCT
fbem-6616	14	42	figure	figure	NOUN
fbem-6616	14	43	1	1	NUM
fbem-6616	14	44	bidirectional	bidirectional	NOUN
fbem-6616	14	45	lstm	lstm	NOUN
fbem-6616	14	46	the	the	DET
fbem-6616	14	47	bi	bi	ADJ
fbem-6616	14	48	-	-	ADJ
fbem-6616	14	49	lstm	lstm	ADJ
fbem-6616	14	50	model	model	NOUN
fbem-6616	14	51	consists	consist	VERB
fbem-6616	14	52	of	of	ADP
fbem-6616	14	53	two	two	NUM
fbem-6616	14	54	main	main	ADJ
fbem-6616	14	55	components	component	NOUN
fbem-6616	14	56	:	:	PUNCT
fbem-6616	14	57	a	a	DET
fbem-6616	14	58	forward	forward	ADV
fbem-6616	14	59	lstm	lstm	NOUN
fbem-6616	14	60	layer	layer	NOUN
fbem-6616	14	61	and	and	CCONJ
fbem-6616	14	62	a	a	DET
fbem-6616	14	63	backward	backward	ADJ
fbem-6616	14	64	lstm	lstm	ADJ
fbem-6616	14	65	layer	layer	NOUN
fbem-6616	14	66	.	.	PUNCT
fbem-6616	15	1	the	the	DET
fbem-6616	15	2	forward	forward	ADJ
fbem-6616	15	3	lstm	lstm	NOUN
fbem-6616	15	4	layer	layer	NOUN
fbem-6616	15	5	processes	process	VERB
fbem-6616	15	6	the	the	DET
fbem-6616	15	7	input	input	NOUN
fbem-6616	15	8	sequence	sequence	NOUN
fbem-6616	15	9	in	in	ADP
fbem-6616	15	10	the	the	DET
fbem-6616	15	11	normal	normal	ADJ
fbem-6616	15	12	forward	forward	ADJ
fbem-6616	15	13	direction	direction	NOUN
fbem-6616	15	14	,	,	PUNCT
fbem-6616	15	15	while	while	SCONJ
fbem-6616	15	16	the	the	DET
fbem-6616	15	17	backward	backward	ADJ
fbem-6616	15	18	lstm	lstm	NOUN
fbem-6616	15	19	layer	layer	NOUN
fbem-6616	15	20	processes	process	VERB
fbem-6616	15	21	the	the	DET
fbem-6616	15	22	input	input	NOUN
fbem-6616	15	23	sequence	sequence	NOUN
fbem-6616	15	24	in	in	ADP
fbem-6616	15	25	reverse	reverse	ADJ
fbem-6616	15	26	order	order	NOUN
fbem-6616	15	27	.	.	PUNCT
fbem-6616	16	1	the	the	DET
fbem-6616	16	2	output	output	NOUN
fbem-6616	16	3	of	of	ADP
fbem-6616	16	4	each	each	DET
fbem-6616	16	5	layer	layer	NOUN
fbem-6616	16	6	is	be	AUX
fbem-6616	16	7	then	then	ADV
fbem-6616	16	8	concatenated	concatenate	VERB
fbem-6616	16	9	to	to	PART
fbem-6616	16	10	produce	produce	VERB
fbem-6616	16	11	the	the	DET
fbem-6616	16	12	final	final	ADJ
fbem-6616	16	13	output	output	NOUN
fbem-6616	16	14	.	.	PUNCT
fbem-6616	17	1	it	it	PRON
fbem-6616	17	2	could	could	AUX
fbem-6616	17	3	be	be	AUX
fbem-6616	17	4	described	describe	VERB
fbem-6616	17	5	by	by	ADP
fbem-6616	17	6	this	this	DET
fbem-6616	17	7	following	follow	VERB
fbem-6616	17	8	equation	equation	NOUN
fbem-6616	17	9	:	:	PUNCT
fbem-6616	17	10	fwd	fwd	VERB
fbem-6616	17	11	fwd	fwd	ADJ
fbem-6616	17	12	1lstm	1lstm	NUM
fbem-6616	17	13	(	(	PUNCT
fbem-6616	17	14	,	,	PUNCT
fbem-6616	17	15	)	)	PUNCT
fbem-6616	18	1	t	t	NOUN
fbem-6616	18	2	t	t	NOUN
fbem-6616	18	3	th	th	NUM
fbem-6616	18	4	x	x	SYM
fbem-6616	18	5	h	h	NOUN
fbem-6616	18	6	(	(	PUNCT
fbem-6616	18	7	1	1	NUM
fbem-6616	18	8	)	)	PUNCT
fbem-6616	18	9	bwd	bwd	PROPN
fbem-6616	18	10	bwd	bwd	PROPN
fbem-6616	18	11	1lstm	1lstm	PROPN
fbem-6616	18	12	(	(	PUNCT
fbem-6616	18	13	,	,	PUNCT
fbem-6616	18	14	)	)	PUNCT
fbem-6616	18	15	t	t	PROPN
fbem-6616	18	16	t	t	PROPN
fbem-6616	18	17	th	th	NOUN
fbem-6616	18	18	x	x	PROPN
fbem-6616	18	19	h	h	NOUN
fbem-6616	18	20	(	(	PUNCT
fbem-6616	18	21	2	2	NUM
fbem-6616	18	22	)	)	PUNCT
fbem-6616	18	23	52	52	NUM
fbem-6616	18	24	fwd	fwd	PROPN
fbem-6616	18	25	bwd	bwd	NOUN
fbem-6616	18	26	[	[	X
fbem-6616	18	27	;	;	PUNCT
fbem-6616	18	28	]	]	PUNCT
fbem-6616	18	29	t	t	X
fbem-6616	18	30	t	t	PROPN
fbem-6616	18	31	th	th	PROPN
fbem-6616	18	32	h	h	NOUN
fbem-6616	18	33	h	h	NOUN
fbem-6616	18	34	(	(	PUNCT
fbem-6616	18	35	3	3	X
fbem-6616	18	36	)	)	PUNCT
fbem-6616	18	37	dense	dense	ADJ
fbem-6616	18	38	(	(	PUNCT
fbem-6616	18	39	)	)	PUNCT
fbem-6616	18	40	ty	ty	NOUN
fbem-6616	18	41	h	h	NOUN
fbem-6616	18	42	(	(	PUNCT
fbem-6616	18	43	4	4	NUM
fbem-6616	18	44	)	)	PUNCT
fbem-6616	18	45	where	where	SCONJ
fbem-6616	18	46	tx	tx	PROPN
fbem-6616	18	47	is	be	AUX
fbem-6616	18	48	the	the	DET
fbem-6616	18	49	input	input	NOUN
fbem-6616	18	50	at	at	ADP
fbem-6616	18	51	time	time	NOUN
fbem-6616	18	52	stept	stept	NOUN
fbem-6616	18	53	,	,	PUNCT
fbem-6616	18	54	th	th	X
fbem-6616	18	55	is	be	AUX
fbem-6616	18	56	the	the	DET
fbem-6616	18	57	hidden	hidden	ADJ
fbem-6616	18	58	state	state	NOUN
fbem-6616	18	59	at	at	ADP
fbem-6616	18	60	time	time	NOUN
fbem-6616	18	61	stept	stept	NOUN
fbem-6616	18	62	,	,	PUNCT
fbem-6616	18	63	th	th	X
fbem-6616	18	64	is	be	AUX
fbem-6616	18	65	the	the	DET
fbem-6616	18	66	final	final	ADJ
fbem-6616	18	67	hidden	hidden	ADJ
fbem-6616	18	68	state	state	NOUN
fbem-6616	18	69	,	,	PUNCT
fbem-6616	18	70	y	y	PROPN
fbem-6616	18	71	is	be	AUX
fbem-6616	18	72	the	the	DET
fbem-6616	18	73	output	output	NOUN
fbem-6616	18	74	,	,	PUNCT
fbem-6616	18	75	and	and	CCONJ
fbem-6616	18	76	"	"	PUNCT
fbem-6616	18	77	;	;	PUNCT
fbem-6616	18	78	"	"	PUNCT
fbem-6616	18	79	denotes	denote	NOUN
fbem-6616	18	80	concatenation	concatenation	NOUN
fbem-6616	18	81	.	.	PUNCT
fbem-6616	19	1	one	one	NUM
fbem-6616	19	2	advantage	advantage	NOUN
fbem-6616	19	3	of	of	ADP
fbem-6616	19	4	the	the	DET
fbem-6616	19	5	bi	bi	ADJ
fbem-6616	19	6	-	-	ADJ
fbem-6616	19	7	lstm	lstm	ADJ
fbem-6616	19	8	model	model	NOUN
fbem-6616	19	9	over	over	ADP
fbem-6616	19	10	the	the	DET
fbem-6616	19	11	basic	basic	ADJ
fbem-6616	19	12	lstm	lstm	NOUN
fbem-6616	19	13	is	be	AUX
fbem-6616	19	14	that	that	SCONJ
fbem-6616	19	15	it	it	PRON
fbem-6616	19	16	can	can	AUX
fbem-6616	19	17	capture	capture	VERB
fbem-6616	19	18	long	long	ADJ
fbem-6616	19	19	-	-	PUNCT
fbem-6616	19	20	term	term	NOUN
fbem-6616	19	21	dependencies	dependency	NOUN
fbem-6616	19	22	in	in	ADP
fbem-6616	19	23	the	the	DET
fbem-6616	19	24	input	input	NOUN
fbem-6616	19	25	sequence	sequence	NOUN
fbem-6616	19	26	more	more	ADV
fbem-6616	19	27	effectively	effectively	ADV
fbem-6616	19	28	.	.	PUNCT
fbem-6616	20	1	this	this	PRON
fbem-6616	20	2	is	be	AUX
fbem-6616	20	3	because	because	SCONJ
fbem-6616	20	4	the	the	DET
fbem-6616	20	5	backward	backward	ADJ
fbem-6616	20	6	lstm	lstm	ADJ
fbem-6616	20	7	layer	layer	NOUN
fbem-6616	20	8	can	can	AUX
fbem-6616	20	9	provide	provide	VERB
fbem-6616	20	10	information	information	NOUN
fbem-6616	20	11	about	about	ADP
fbem-6616	20	12	the	the	DET
fbem-6616	20	13	end	end	NOUN
fbem-6616	20	14	of	of	ADP
fbem-6616	20	15	the	the	DET
fbem-6616	20	16	sequence	sequence	NOUN
fbem-6616	20	17	,	,	PUNCT
fbem-6616	20	18	which	which	PRON
fbem-6616	20	19	can	can	AUX
fbem-6616	20	20	be	be	AUX
fbem-6616	20	21	useful	useful	ADJ
fbem-6616	20	22	for	for	ADP
fbem-6616	20	23	predicting	predict	VERB
fbem-6616	20	24	future	future	ADJ
fbem-6616	20	25	values	value	NOUN
fbem-6616	20	26	.	.	PUNCT
fbem-6616	21	1	to	to	PART
fbem-6616	21	2	use	use	VERB
fbem-6616	21	3	the	the	DET
fbem-6616	21	4	bi	bi	ADJ
fbem-6616	21	5	-	-	ADJ
fbem-6616	21	6	lstm	lstm	ADJ
fbem-6616	21	7	model	model	NOUN
fbem-6616	21	8	for	for	ADP
fbem-6616	21	9	stock	stock	NOUN
fbem-6616	21	10	price	price	NOUN
fbem-6616	21	11	prediction	prediction	NOUN
fbem-6616	21	12	,	,	PUNCT
fbem-6616	21	13	we	we	PRON
fbem-6616	21	14	first	first	ADV
fbem-6616	21	15	preprocess	preproces	VERB
fbem-6616	21	16	the	the	DET
fbem-6616	21	17	input	input	NOUN
fbem-6616	21	18	data	datum	NOUN
fbem-6616	21	19	by	by	ADP
fbem-6616	21	20	normalizing	normalize	VERB
fbem-6616	21	21	it	it	PRON
fbem-6616	21	22	and	and	CCONJ
fbem-6616	21	23	converting	convert	VERB
fbem-6616	21	24	it	it	PRON
fbem-6616	21	25	into	into	ADP
fbem-6616	21	26	sequences	sequence	NOUN
fbem-6616	21	27	of	of	ADP
fbem-6616	21	28	fixed	fix	VERB
fbem-6616	21	29	length	length	NOUN
fbem-6616	21	30	.	.	PUNCT
fbem-6616	22	1	we	we	PRON
fbem-6616	22	2	then	then	ADV
fbem-6616	22	3	split	split	VERB
fbem-6616	22	4	the	the	DET
fbem-6616	22	5	data	datum	NOUN
fbem-6616	22	6	into	into	ADP
fbem-6616	22	7	training	training	NOUN
fbem-6616	22	8	and	and	CCONJ
fbem-6616	22	9	testing	testing	NOUN
fbem-6616	22	10	sets	set	NOUN
fbem-6616	22	11	,	,	PUNCT
fbem-6616	22	12	and	and	CCONJ
fbem-6616	22	13	train	train	VERB
fbem-6616	22	14	the	the	DET
fbem-6616	22	15	bi	bi	ADJ
fbem-6616	22	16	-	-	ADJ
fbem-6616	22	17	lstm	lstm	ADJ
fbem-6616	22	18	model	model	NOUN
fbem-6616	22	19	on	on	ADP
fbem-6616	22	20	the	the	DET
fbem-6616	22	21	training	training	NOUN
fbem-6616	22	22	data	datum	NOUN
fbem-6616	22	23	using	use	VERB
fbem-6616	22	24	the	the	DET
fbem-6616	22	25	mean	mean	ADJ
fbem-6616	22	26	squared	square	VERB
fbem-6616	22	27	error	error	NOUN
fbem-6616	22	28	(	(	PUNCT
fbem-6616	22	29	mse	mse	NOUN
fbem-6616	22	30	)	)	PUNCT
fbem-6616	22	31	loss	loss	NOUN
fbem-6616	22	32	function	function	NOUN
fbem-6616	22	33	.	.	PUNCT
fbem-6616	23	1	after	after	ADP
fbem-6616	23	2	training	training	NOUN
fbem-6616	23	3	,	,	PUNCT
fbem-6616	23	4	we	we	PRON
fbem-6616	23	5	can	can	AUX
fbem-6616	23	6	evaluate	evaluate	VERB
fbem-6616	23	7	the	the	DET
fbem-6616	23	8	model	model	NOUN
fbem-6616	23	9	on	on	ADP
fbem-6616	23	10	the	the	DET
fbem-6616	23	11	testing	testing	NOUN
fbem-6616	23	12	data	datum	NOUN
fbem-6616	23	13	and	and	CCONJ
fbem-6616	23	14	generate	generate	VERB
fbem-6616	23	15	predictions	prediction	NOUN
fbem-6616	23	16	for	for	ADP
fbem-6616	23	17	future	future	ADJ
fbem-6616	23	18	values	value	NOUN
fbem-6616	23	19	.	.	PUNCT
fbem-6616	24	1	overall	overall	ADV
fbem-6616	24	2	,	,	PUNCT
fbem-6616	24	3	the	the	DET
fbem-6616	24	4	bi	bi	ADJ
fbem-6616	24	5	-	-	ADJ
fbem-6616	24	6	lstm	lstm	ADJ
fbem-6616	24	7	model	model	NOUN
fbem-6616	24	8	is	be	AUX
fbem-6616	24	9	a	a	DET
fbem-6616	24	10	powerful	powerful	ADJ
fbem-6616	24	11	tool	tool	NOUN
fbem-6616	24	12	for	for	ADP
fbem-6616	24	13	analyzing	analyze	VERB
fbem-6616	24	14	sequential	sequential	ADJ
fbem-6616	24	15	data	datum	NOUN
fbem-6616	24	16	and	and	CCONJ
fbem-6616	24	17	has	have	VERB
fbem-6616	24	18	many	many	ADJ
fbem-6616	24	19	potential	potential	ADJ
fbem-6616	24	20	applications	application	NOUN
fbem-6616	24	21	in	in	ADP
fbem-6616	24	22	fields	field	NOUN
fbem-6616	24	23	such	such	ADJ
fbem-6616	24	24	as	as	ADP
fbem-6616	24	25	finance	finance	NOUN
fbem-6616	24	26	,	,	PUNCT
fbem-6616	24	27	natural	natural	ADJ
fbem-6616	24	28	language	language	NOUN
fbem-6616	24	29	processing	processing	NOUN
fbem-6616	24	30	,	,	PUNCT
fbem-6616	24	31	and	and	CCONJ
fbem-6616	24	32	speech	speech	NOUN
fbem-6616	24	33	recognition	recognition	NOUN
fbem-6616	24	34	.	.	PUNCT
fbem-6616	25	1	2	2	X
fbem-6616	25	2	.	.	X
fbem-6616	25	3	model	model	NOUN
fbem-6616	25	4	description	description	NOUN
fbem-6616	25	5	2.1	2.1	NUM
fbem-6616	25	6	.	.	PUNCT
fbem-6616	26	1	data	datum	NOUN
fbem-6616	26	2	description	description	NOUN
fbem-6616	26	3	the	the	DET
fbem-6616	26	4	dataset	dataset	NOUN
fbem-6616	26	5	used	use	VERB
fbem-6616	26	6	in	in	ADP
fbem-6616	26	7	this	this	DET
fbem-6616	26	8	analysis	analysis	NOUN
fbem-6616	26	9	is	be	AUX
fbem-6616	26	10	the	the	DET
fbem-6616	26	11	daily	daily	ADJ
fbem-6616	26	12	closing	closing	NOUN
fbem-6616	26	13	prices	price	NOUN
fbem-6616	26	14	of	of	ADP
fbem-6616	26	15	the	the	DET
fbem-6616	26	16	apple	apple	NOUN
fbem-6616	26	17	company	company	NOUN
fbem-6616	26	18	from	from	ADP
fbem-6616	26	19	january	january	PROPN
fbem-6616	26	20	1	1	NUM
fbem-6616	26	21	,	,	PUNCT
fbem-6616	26	22	2010	2010	NUM
fbem-6616	26	23	,	,	PUNCT
fbem-6616	26	24	to	to	ADP
fbem-6616	26	25	december	december	PROPN
fbem-6616	26	26	31	31	NUM
fbem-6616	26	27	,	,	PUNCT
fbem-6616	26	28	2020	2020	NUM
fbem-6616	26	29	.	.	PUNCT
fbem-6616	27	1	the	the	DET
fbem-6616	27	2	apple	apple	NOUN
fbem-6616	27	3	is	be	AUX
fbem-6616	27	4	a	a	DET
fbem-6616	27	5	stock	stock	NOUN
fbem-6616	27	6	market	market	NOUN
fbem-6616	27	7	index	index	NOUN
fbem-6616	27	8	that	that	PRON
fbem-6616	27	9	tracks	track	VERB
fbem-6616	27	10	the	the	DET
fbem-6616	27	11	stock	stock	NOUN
fbem-6616	27	12	performance	performance	NOUN
fbem-6616	27	13	of	of	ADP
fbem-6616	27	14	apple	apple	PROPN
fbem-6616	27	15	inc	inc	PROPN
fbem-6616	27	16	listed	list	VERB
fbem-6616	27	17	on	on	ADP
fbem-6616	27	18	stock	stock	NOUN
fbem-6616	27	19	exchanges	exchange	NOUN
fbem-6616	27	20	in	in	ADP
fbem-6616	27	21	the	the	DET
fbem-6616	27	22	united	united	PROPN
fbem-6616	27	23	states	states	PROPN
fbem-6616	27	24	.	.	PUNCT
fbem-6616	28	1	the	the	DET
fbem-6616	28	2	dataset	dataset	NOUN
fbem-6616	28	3	contains	contain	VERB
fbem-6616	28	4	2769	2769	NUM
fbem-6616	28	5	data	datum	NOUN
fbem-6616	28	6	points	point	NOUN
fbem-6616	28	7	,	,	PUNCT
fbem-6616	28	8	with	with	ADP
fbem-6616	28	9	each	each	DET
fbem-6616	28	10	data	data	NOUN
fbem-6616	28	11	point	point	NOUN
fbem-6616	28	12	consisting	consist	VERB
fbem-6616	28	13	of	of	ADP
fbem-6616	28	14	the	the	DET
fbem-6616	28	15	date	date	NOUN
fbem-6616	28	16	and	and	CCONJ
fbem-6616	28	17	the	the	DET
fbem-6616	28	18	corresponding	corresponding	ADJ
fbem-6616	28	19	closing	closing	NOUN
fbem-6616	28	20	price	price	NOUN
fbem-6616	28	21	of	of	ADP
fbem-6616	28	22	each	each	DET
fbem-6616	28	23	date	date	NOUN
fbem-6616	28	24	.	.	PUNCT
fbem-6616	29	1	we	we	PRON
fbem-6616	29	2	also	also	ADV
fbem-6616	29	3	need	need	VERB
fbem-6616	29	4	to	to	PART
fbem-6616	29	5	creating	create	VERB
fbem-6616	29	6	sequences	sequence	NOUN
fbem-6616	29	7	from	from	ADP
fbem-6616	29	8	the	the	DET
fbem-6616	29	9	data	datum	NOUN
fbem-6616	29	10	:	:	PUNCT
fbem-6616	29	11	1	1	NUM
fbem-6616	29	12	1	1	NUM
fbem-6616	29	13	[	[	PUNCT
fbem-6616	29	14	,	,	PUNCT
fbem-6616	29	15	,	,	PUNCT
fbem-6616	29	16	,	,	PUNCT
fbem-6616	29	17	]	]	PUNCT
fbem-6616	30	1	andi	andi	PROPN
fbem-6616	31	1	i	i	PRON
fbem-6616	31	2	t	t	VERB
fbem-6616	32	1	i	i	PRON
fbem-6616	32	2	t	t	X
fbem-6616	33	1	i	i	PRON
fbem-6616	34	1	i	i	PRON
fbem-6616	34	2	ix	ix	ADP
fbem-6616	34	3	x	x	PUNCT
fbem-6616	34	4	x	x	VERB
fbem-6616	34	5	y	y	PROPN
fbem-6616	34	6	x	x	PROPN
fbem-6616	34	7			PROPN
fbem-6616	34	8			VERB
fbem-6616	34	9			PROPN
fbem-6616	34	10			ADP
fbem-6616	34	11	x	x	PROPN
fbem-6616	34	12	(	(	PUNCT
fbem-6616	34	13	5	5	NUM
fbem-6616	34	14	)	)	PUNCT
fbem-6616	34	15	where	where	SCONJ
fbem-6616	34	16	ix	ix	ADV
fbem-6616	34	17	is	be	AUX
fbem-6616	34	18	a	a	DET
fbem-6616	34	19	sequence	sequence	NOUN
fbem-6616	34	20	of	of	ADP
fbem-6616	34	21	length	length	NOUN
fbem-6616	34	22	t	t	PROPN
fbem-6616	34	23	starting	start	VERB
fbem-6616	34	24	at	at	ADP
fbem-6616	34	25	index	index	NOUN
fbem-6616	34	26	i	i	PRON
fbem-6616	34	27	,	,	PUNCT
fbem-6616	34	28	iy	iy	PROPN
fbem-6616	34	29	is	be	AUX
fbem-6616	34	30	the	the	DET
fbem-6616	34	31	target	target	NOUN
fbem-6616	34	32	value	value	NOUN
fbem-6616	34	33	at	at	ADP
fbem-6616	34	34	indexi	indexi	NOUN
fbem-6616	34	35	,	,	PUNCT
fbem-6616	34	36	and	and	CCONJ
fbem-6616	34	37	ix	ix	ADV
fbem-6616	34	38	is	be	AUX
fbem-6616	34	39	the	the	DET
fbem-6616	34	40	original	original	ADJ
fbem-6616	34	41	value	value	NOUN
fbem-6616	34	42	at	at	ADP
fbem-6616	34	43	index	index	NOUN
fbem-6616	34	44	i	i	PRON
fbem-6616	34	45	2.2	2.2	NUM
fbem-6616	34	46	.	.	PUNCT
fbem-6616	35	1	data	datum	NOUN
fbem-6616	35	2	preprocessing	preprocesse	VERB
fbem-6616	35	3	before	before	ADP
fbem-6616	35	4	training	train	VERB
fbem-6616	35	5	the	the	DET
fbem-6616	35	6	bi	bi	ADJ
fbem-6616	35	7	-	-	ADJ
fbem-6616	35	8	lstm	lstm	ADJ
fbem-6616	35	9	model	model	NOUN
fbem-6616	35	10	,	,	PUNCT
fbem-6616	35	11	we	we	PRON
fbem-6616	35	12	need	need	VERB
fbem-6616	35	13	to	to	PART
fbem-6616	35	14	preprocess	preprocess	VERB
fbem-6616	35	15	the	the	DET
fbem-6616	35	16	data	datum	NOUN
fbem-6616	35	17	.	.	PUNCT
fbem-6616	36	1	before	before	ADP
fbem-6616	36	2	training	train	VERB
fbem-6616	36	3	the	the	DET
fbem-6616	36	4	model	model	NOUN
fbem-6616	36	5	,	,	PUNCT
fbem-6616	36	6	we	we	PRON
fbem-6616	36	7	preprocess	preprocess	VERB
fbem-6616	36	8	the	the	DET
fbem-6616	36	9	input	input	NOUN
fbem-6616	36	10	data	datum	NOUN
fbem-6616	36	11	by	by	ADP
fbem-6616	36	12	normalizing	normalize	VERB
fbem-6616	36	13	it	it	PRON
fbem-6616	36	14	using	use	VERB
fbem-6616	36	15	the	the	DET
fbem-6616	36	16	minmaxscaler	minmaxscaler	NOUN
fbem-6616	36	17	.	.	PUNCT
fbem-6616	37	1	this	this	DET
fbem-6616	37	2	step	step	NOUN
fbem-6616	37	3	is	be	AUX
fbem-6616	37	4	important	important	ADJ
fbem-6616	37	5	because	because	SCONJ
fbem-6616	37	6	it	it	PRON
fbem-6616	37	7	ensures	ensure	VERB
fbem-6616	37	8	that	that	SCONJ
fbem-6616	37	9	all	all	DET
fbem-6616	37	10	input	input	NOUN
fbem-6616	37	11	features	feature	NOUN
fbem-6616	37	12	are	be	AUX
fbem-6616	37	13	on	on	ADP
fbem-6616	37	14	the	the	DET
fbem-6616	37	15	same	same	ADJ
fbem-6616	37	16	scale	scale	NOUN
fbem-6616	37	17	and	and	CCONJ
fbem-6616	37	18	prevents	prevent	VERB
fbem-6616	37	19	the	the	DET
fbem-6616	37	20	model	model	NOUN
fbem-6616	37	21	from	from	ADP
fbem-6616	37	22	being	be	AUX
fbem-6616	37	23	biased	bias	VERB
fbem-6616	37	24	towards	towards	ADP
fbem-6616	37	25	features	feature	NOUN
fbem-6616	37	26	with	with	ADP
fbem-6616	37	27	larger	large	ADJ
fbem-6616	37	28	values	value	NOUN
fbem-6616	37	29	.	.	PUNCT
fbem-6616	38	1	normalization	normalization	NOUN
fbem-6616	38	2	also	also	ADV
fbem-6616	38	3	helps	help	VERB
fbem-6616	38	4	the	the	DET
fbem-6616	38	5	model	model	NOUN
fbem-6616	38	6	converge	converge	VERB
fbem-6616	38	7	faster	fast	ADV
fbem-6616	38	8	and	and	CCONJ
fbem-6616	38	9	can	can	AUX
fbem-6616	38	10	improve	improve	VERB
fbem-6616	38	11	its	its	PRON
fbem-6616	38	12	overall	overall	ADJ
fbem-6616	38	13	performance	performance	NOUN
fbem-6616	38	14	.	.	PUNCT
fbem-6616	39	1	this	this	PRON
fbem-6616	39	2	ensures	ensure	VERB
fbem-6616	39	3	that	that	SCONJ
fbem-6616	39	4	all	all	DET
fbem-6616	39	5	values	value	NOUN
fbem-6616	39	6	are	be	AUX
fbem-6616	39	7	between	between	ADP
fbem-6616	39	8	0	0	NUM
fbem-6616	39	9	and	and	CCONJ
fbem-6616	39	10	1	1	NUM
fbem-6616	39	11	,	,	PUNCT
fbem-6616	39	12	which	which	PRON
fbem-6616	39	13	is	be	AUX
fbem-6616	39	14	necessary	necessary	ADJ
fbem-6616	39	15	for	for	SCONJ
fbem-6616	39	16	the	the	DET
fbem-6616	39	17	bi	bi	ADJ
fbem-6616	39	18	-	-	ADJ
fbem-6616	39	19	lstm	lstm	ADJ
fbem-6616	39	20	model	model	NOUN
fbem-6616	39	21	to	to	PART
fbem-6616	39	22	learn	learn	VERB
fbem-6616	39	23	effectively	effectively	ADV
fbem-6616	39	24	.	.	PUNCT
fbem-6616	40	1	min	min	PROPN
fbem-6616	40	2	norm	norm	PROPN
fbem-6616	40	3	max	max	PROPN
fbem-6616	40	4	min	min	PROPN
fbem-6616	40	5	x	x	PUNCT
fbem-6616	41	1	x	x	PUNCT
fbem-6616	41	2	x	x	PUNCT
fbem-6616	41	3	x	x	PUNCT
fbem-6616	41	4	x	x	SYM
fbem-6616	41	5			PROPN
fbem-6616	41	6			NUM
fbem-6616	41	7			NOUN
fbem-6616	41	8	(	(	PUNCT
fbem-6616	41	9	6	6	NUM
fbem-6616	41	10	)	)	PUNCT
fbem-6616	41	11	where	where	SCONJ
fbem-6616	41	12	x	x	PRON
fbem-6616	41	13	is	be	AUX
fbem-6616	41	14	the	the	DET
fbem-6616	41	15	original	original	ADJ
fbem-6616	41	16	data	datum	NOUN
fbem-6616	41	17	,	,	PUNCT
fbem-6616	41	18	minx	minx	NOUN
fbem-6616	41	19	and	and	CCONJ
fbem-6616	41	20	maxx	maxx	PROPN
fbem-6616	41	21	are	be	AUX
fbem-6616	41	22	the	the	DET
fbem-6616	41	23	minimum	minimum	ADJ
fbem-6616	41	24	and	and	CCONJ
fbem-6616	41	25	maximum	maximum	ADJ
fbem-6616	41	26	values	value	NOUN
fbem-6616	41	27	in	in	ADP
fbem-6616	41	28	the	the	DET
fbem-6616	41	29	data	datum	NOUN
fbem-6616	41	30	,	,	PUNCT
fbem-6616	41	31	respectively	respectively	ADV
fbem-6616	41	32	,	,	PUNCT
fbem-6616	41	33	and	and	CCONJ
fbem-6616	41	34	normx	normx	ADV
fbem-6616	41	35	is	be	VERB
fbem-6616	41	36	the	the	DET
fbem-6616	41	37	normalized	normalize	VERB
fbem-6616	41	38	data	datum	NOUN
fbem-6616	41	39	.	.	PUNCT
fbem-6616	42	1	next	next	ADV
fbem-6616	42	2	,	,	PUNCT
fbem-6616	42	3	we	we	PRON
fbem-6616	42	4	split	split	VERB
fbem-6616	42	5	the	the	DET
fbem-6616	42	6	dataset	dataset	NOUN
fbem-6616	42	7	into	into	ADP
fbem-6616	42	8	training	training	NOUN
fbem-6616	42	9	and	and	CCONJ
fbem-6616	42	10	testing	testing	NOUN
fbem-6616	42	11	sets	set	NOUN
fbem-6616	42	12	.	.	PUNCT
fbem-6616	43	1	we	we	PRON
fbem-6616	43	2	use	use	VERB
fbem-6616	43	3	the	the	DET
fbem-6616	43	4	first	first	ADJ
fbem-6616	43	5	80	80	NUM
fbem-6616	43	6	%	%	NOUN
fbem-6616	43	7	of	of	ADP
fbem-6616	43	8	the	the	DET
fbem-6616	43	9	dataset	dataset	NOUN
fbem-6616	43	10	for	for	ADP
fbem-6616	43	11	training	training	NOUN
fbem-6616	43	12	and	and	CCONJ
fbem-6616	43	13	the	the	DET
fbem-6616	43	14	remaining	remain	VERB
fbem-6616	43	15	20	20	NUM
fbem-6616	43	16	%	%	NOUN
fbem-6616	43	17	for	for	ADP
fbem-6616	43	18	testing	testing	NOUN
fbem-6616	43	19	.	.	PUNCT
fbem-6616	44	1	2.3	2.3	NUM
fbem-6616	44	2	.	.	PUNCT
fbem-6616	44	3	model	model	NOUN
fbem-6616	44	4	architecture	architecture	NOUN
fbem-6616	44	5	the	the	DET
fbem-6616	44	6	bi	bi	ADJ
fbem-6616	44	7	-	-	ADJ
fbem-6616	44	8	lstm	lstm	ADJ
fbem-6616	44	9	model	model	NOUN
fbem-6616	44	10	consists	consist	VERB
fbem-6616	44	11	of	of	ADP
fbem-6616	44	12	two	two	NUM
fbem-6616	44	13	lstm	lstm	ADJ
fbem-6616	44	14	layers	layer	NOUN
fbem-6616	44	15	,	,	PUNCT
fbem-6616	44	16	each	each	PRON
fbem-6616	44	17	with	with	ADP
fbem-6616	44	18	128	128	NUM
fbem-6616	44	19	hidden	hide	VERB
fbem-6616	44	20	units	unit	NOUN
fbem-6616	44	21	.	.	PUNCT
fbem-6616	45	1	the	the	DET
fbem-6616	45	2	lstm	lstm	ADJ
fbem-6616	45	3	layers	layer	NOUN
fbem-6616	45	4	are	be	AUX
fbem-6616	45	5	followed	follow	VERB
fbem-6616	45	6	by	by	ADP
fbem-6616	45	7	a	a	DET
fbem-6616	45	8	dense	dense	ADJ
fbem-6616	45	9	layer	layer	NOUN
fbem-6616	45	10	with	with	ADP
fbem-6616	45	11	a	a	DET
fbem-6616	45	12	single	single	ADJ
fbem-6616	45	13	output	output	NOUN
fbem-6616	45	14	unit	unit	NOUN
fbem-6616	45	15	.	.	PUNCT
fbem-6616	46	1	the	the	DET
fbem-6616	46	2	model	model	NOUN
fbem-6616	46	3	is	be	AUX
fbem-6616	46	4	trained	train	VERB
fbem-6616	46	5	using	use	VERB
fbem-6616	46	6	the	the	DET
fbem-6616	46	7	mean	mean	ADJ
fbem-6616	46	8	squared	square	VERB
fbem-6616	46	9	error	error	NOUN
fbem-6616	46	10	(	(	PUNCT
fbem-6616	46	11	mse	mse	NOUN
fbem-6616	46	12	)	)	PUNCT
fbem-6616	46	13	loss	loss	NOUN
fbem-6616	46	14	function	function	NOUN
fbem-6616	46	15	and	and	CCONJ
fbem-6616	46	16	the	the	DET
fbem-6616	46	17	adam	adam	PROPN
fbem-6616	46	18	optimizer	optimizer	NOUN
fbem-6616	46	19	.	.	PUNCT
fbem-6616	47	1	we	we	PRON
fbem-6616	47	2	use	use	VERB
fbem-6616	47	3	a	a	DET
fbem-6616	47	4	batch	batch	NOUN
fbem-6616	47	5	size	size	NOUN
fbem-6616	47	6	of	of	ADP
fbem-6616	47	7	64	64	NUM
fbem-6616	47	8	and	and	CCONJ
fbem-6616	47	9	train	train	VERB
fbem-6616	47	10	the	the	DET
fbem-6616	47	11	model	model	NOUN
fbem-6616	47	12	for	for	ADP
fbem-6616	47	13	100	100	NUM
fbem-6616	47	14	epochs	epoch	NOUN
fbem-6616	47	15	.	.	PUNCT
fbem-6616	48	1	the	the	DET
fbem-6616	48	2	lstm	lstm	ADJ
fbem-6616	48	3	layers	layer	NOUN
fbem-6616	48	4	are	be	AUX
fbem-6616	48	5	the	the	DET
fbem-6616	48	6	core	core	NOUN
fbem-6616	48	7	building	building	NOUN
fbem-6616	48	8	blocks	block	NOUN
fbem-6616	48	9	of	of	ADP
fbem-6616	48	10	the	the	DET
fbem-6616	48	11	model	model	NOUN
fbem-6616	48	12	and	and	CCONJ
fbem-6616	48	13	are	be	AUX
fbem-6616	48	14	responsible	responsible	ADJ
fbem-6616	48	15	for	for	ADP
fbem-6616	48	16	processing	process	VERB
fbem-6616	48	17	the	the	DET
fbem-6616	48	18	input	input	NOUN
fbem-6616	48	19	sequence	sequence	NOUN
fbem-6616	48	20	and	and	CCONJ
fbem-6616	48	21	learning	learn	VERB
fbem-6616	48	22	the	the	DET
fbem-6616	48	23	relationships	relationship	NOUN
fbem-6616	48	24	between	between	ADP
fbem-6616	48	25	the	the	DET
fbem-6616	48	26	input	input	NOUN
fbem-6616	48	27	features	feature	VERB
fbem-6616	48	28	.	.	PUNCT
fbem-6616	49	1	the	the	DET
fbem-6616	49	2	bilstm	bilstm	NOUN
fbem-6616	49	3	model	model	NOUN
fbem-6616	49	4	has	have	VERB
fbem-6616	49	5	two	two	NUM
fbem-6616	49	6	lstm	lstm	ADJ
fbem-6616	49	7	layers	layer	NOUN
fbem-6616	49	8	:	:	PUNCT
fbem-6616	49	9	one	one	NUM
fbem-6616	49	10	that	that	PRON
fbem-6616	49	11	processes	process	VERB
fbem-6616	49	12	the	the	DET
fbem-6616	49	13	input	input	NOUN
fbem-6616	49	14	sequence	sequence	NOUN
fbem-6616	49	15	in	in	ADP
fbem-6616	49	16	the	the	DET
fbem-6616	49	17	forward	forward	ADJ
fbem-6616	49	18	direction	direction	NOUN
fbem-6616	49	19	,	,	PUNCT
fbem-6616	49	20	and	and	CCONJ
fbem-6616	49	21	one	one	NUM
fbem-6616	49	22	that	that	PRON
fbem-6616	49	23	processes	process	VERB
fbem-6616	49	24	it	it	PRON
fbem-6616	49	25	in	in	ADP
fbem-6616	49	26	the	the	DET
fbem-6616	49	27	backward	backward	ADJ
fbem-6616	49	28	direction	direction	NOUN
fbem-6616	49	29	.	.	PUNCT
fbem-6616	50	1	these	these	DET
fbem-6616	50	2	layers	layer	NOUN
fbem-6616	50	3	are	be	AUX
fbem-6616	50	4	designed	design	VERB
fbem-6616	50	5	to	to	PART
fbem-6616	50	6	capture	capture	VERB
fbem-6616	50	7	shortand	shortand	NOUN
fbem-6616	50	8	long	long	ADJ
fbem-6616	50	9	-	-	PUNCT
fbem-6616	50	10	term	term	NOUN
fbem-6616	50	11	dependencies	dependency	NOUN
fbem-6616	50	12	in	in	ADP
fbem-6616	50	13	the	the	DET
fbem-6616	50	14	data	datum	NOUN
fbem-6616	50	15	and	and	CCONJ
fbem-6616	50	16	can	can	AUX
fbem-6616	50	17	help	help	VERB
fbem-6616	50	18	the	the	DET
fbem-6616	50	19	model	model	NOUN
fbem-6616	50	20	learn	learn	VERB
fbem-6616	50	21	complex	complex	ADJ
fbem-6616	50	22	patterns	pattern	NOUN
fbem-6616	50	23	and	and	CCONJ
fbem-6616	50	24	trends	trend	NOUN
fbem-6616	50	25	.	.	PUNCT
fbem-6616	51	1	the	the	DET
fbem-6616	51	2	dense	dense	ADJ
fbem-6616	51	3	layer	layer	NOUN
fbem-6616	51	4	is	be	AUX
fbem-6616	51	5	the	the	DET
fbem-6616	51	6	output	output	NOUN
fbem-6616	51	7	layer	layer	NOUN
fbem-6616	51	8	of	of	ADP
fbem-6616	51	9	the	the	DET
fbem-6616	51	10	model	model	NOUN
fbem-6616	51	11	and	and	CCONJ
fbem-6616	51	12	is	be	AUX
fbem-6616	51	13	responsible	responsible	ADJ
fbem-6616	51	14	for	for	ADP
fbem-6616	51	15	generating	generate	VERB
fbem-6616	51	16	the	the	DET
fbem-6616	51	17	final	final	ADJ
fbem-6616	51	18	prediction	prediction	NOUN
fbem-6616	51	19	.	.	PUNCT
fbem-6616	52	1	in	in	ADP
fbem-6616	52	2	our	our	PRON
fbem-6616	52	3	implementation	implementation	NOUN
fbem-6616	52	4	,	,	PUNCT
fbem-6616	52	5	we	we	PRON
fbem-6616	52	6	use	use	VERB
fbem-6616	52	7	a	a	DET
fbem-6616	52	8	single	single	ADJ
fbem-6616	52	9	dense	dense	ADJ
fbem-6616	52	10	layer	layer	NOUN
fbem-6616	52	11	with	with	ADP
fbem-6616	52	12	one	one	NUM
fbem-6616	52	13	output	output	NOUN
fbem-6616	52	14	neuron	neuron	NOUN
fbem-6616	52	15	,	,	PUNCT
fbem-6616	52	16	which	which	PRON
fbem-6616	52	17	produces	produce	VERB
fbem-6616	52	18	a	a	DET
fbem-6616	52	19	single	single	ADJ
fbem-6616	52	20	scalar	scalar	ADJ
fbem-6616	52	21	value	value	NOUN
fbem-6616	52	22	representing	represent	VERB
fbem-6616	52	23	the	the	DET
fbem-6616	52	24	predicted	predict	VERB
fbem-6616	52	25	stock	stock	NOUN
fbem-6616	52	26	price	price	NOUN
fbem-6616	52	27	for	for	ADP
fbem-6616	52	28	the	the	DET
fbem-6616	52	29	next	next	ADJ
fbem-6616	52	30	time	time	NOUN
fbem-6616	52	31	step	step	NOUN
fbem-6616	52	32	.	.	PUNCT
fbem-6616	53	1	2.4	2.4	NUM
fbem-6616	53	2	.	.	PUNCT
fbem-6616	53	3	model	model	NOUN
fbem-6616	53	4	training	training	NOUN
fbem-6616	53	5	we	we	PRON
fbem-6616	53	6	train	train	VERB
fbem-6616	53	7	the	the	DET
fbem-6616	53	8	bi	bi	ADJ
fbem-6616	53	9	-	-	ADJ
fbem-6616	53	10	lstm	lstm	ADJ
fbem-6616	53	11	model	model	NOUN
fbem-6616	53	12	using	use	VERB
fbem-6616	53	13	the	the	DET
fbem-6616	53	14	training	training	NOUN
fbem-6616	53	15	set	set	NOUN
fbem-6616	53	16	.	.	PUNCT
fbem-6616	54	1	the	the	DET
fbem-6616	54	2	training	training	NOUN
fbem-6616	54	3	process	process	NOUN
fbem-6616	54	4	involves	involve	VERB
fbem-6616	54	5	feeding	feed	VERB
fbem-6616	54	6	the	the	DET
fbem-6616	54	7	model	model	NOUN
fbem-6616	54	8	a	a	DET
fbem-6616	54	9	sequence	sequence	NOUN
fbem-6616	54	10	of	of	ADP
fbem-6616	54	11	closing	closing	NOUN
fbem-6616	54	12	prices	price	NOUN
fbem-6616	54	13	and	and	CCONJ
fbem-6616	54	14	predicting	predict	VERB
fbem-6616	54	15	the	the	DET
fbem-6616	54	16	next	next	ADJ
fbem-6616	54	17	value	value	NOUN
fbem-6616	54	18	in	in	ADP
fbem-6616	54	19	the	the	DET
fbem-6616	54	20	sequence	sequence	NOUN
fbem-6616	54	21	.	.	PUNCT
fbem-6616	55	1	the	the	DET
fbem-6616	55	2	predicted	predict	VERB
fbem-6616	55	3	value	value	NOUN
fbem-6616	55	4	is	be	AUX
fbem-6616	55	5	then	then	ADV
fbem-6616	55	6	compared	compare	VERB
fbem-6616	55	7	to	to	ADP
fbem-6616	55	8	the	the	DET
fbem-6616	55	9	actual	actual	ADJ
fbem-6616	55	10	value	value	NOUN
fbem-6616	55	11	,	,	PUNCT
fbem-6616	55	12	and	and	CCONJ
fbem-6616	55	13	the	the	DET
fbem-6616	55	14	model	model	NOUN
fbem-6616	55	15	parameters	parameter	NOUN
fbem-6616	55	16	are	be	AUX
fbem-6616	55	17	adjusted	adjust	VERB
fbem-6616	55	18	to	to	PART
fbem-6616	55	19	minimize	minimize	VERB
fbem-6616	55	20	the	the	DET
fbem-6616	55	21	difference	difference	NOUN
fbem-6616	55	22	between	between	ADP
fbem-6616	55	23	the	the	DET
fbem-6616	55	24	predicted	predict	VERB
fbem-6616	55	25	and	and	CCONJ
fbem-6616	55	26	actual	actual	ADJ
fbem-6616	55	27	values	value	NOUN
fbem-6616	55	28	.	.	PUNCT
fbem-6616	56	1	2.5	2.5	NUM
fbem-6616	56	2	.	.	PUNCT
fbem-6616	57	1	model	model	NOUN
fbem-6616	57	2	evaluation	evaluation	NOUN
fbem-6616	57	3	after	after	ADP
fbem-6616	57	4	training	train	VERB
fbem-6616	57	5	the	the	DET
fbem-6616	57	6	model	model	NOUN
fbem-6616	57	7	,	,	PUNCT
fbem-6616	57	8	we	we	PRON
fbem-6616	57	9	evaluate	evaluate	VERB
fbem-6616	57	10	its	its	PRON
fbem-6616	57	11	performance	performance	NOUN
fbem-6616	57	12	using	use	VERB
fbem-6616	57	13	the	the	DET
fbem-6616	57	14	testing	testing	NOUN
fbem-6616	57	15	set	set	VERB
fbem-6616	57	16	.	.	PUNCT
fbem-6616	58	1	we	we	PRON
fbem-6616	58	2	feed	feed	VERB
fbem-6616	58	3	the	the	DET
fbem-6616	58	4	model	model	NOUN
fbem-6616	58	5	a	a	DET
fbem-6616	58	6	sequence	sequence	NOUN
fbem-6616	58	7	of	of	ADP
fbem-6616	58	8	closing	closing	NOUN
fbem-6616	58	9	prices	price	NOUN
fbem-6616	58	10	from	from	ADP
fbem-6616	58	11	the	the	DET
fbem-6616	58	12	testing	testing	NOUN
fbem-6616	58	13	set	set	VERB
fbem-6616	58	14	and	and	CCONJ
fbem-6616	58	15	predict	predict	VERB
fbem-6616	58	16	the	the	DET
fbem-6616	58	17	next	next	ADJ
fbem-6616	58	18	value	value	NOUN
fbem-6616	58	19	in	in	ADP
fbem-6616	58	20	the	the	DET
fbem-6616	58	21	sequence	sequence	NOUN
fbem-6616	58	22	.	.	PUNCT
fbem-6616	59	1	we	we	PRON
fbem-6616	59	2	then	then	ADV
fbem-6616	59	3	compare	compare	VERB
fbem-6616	59	4	the	the	DET
fbem-6616	59	5	predicted	predict	VERB
fbem-6616	59	6	value	value	NOUN
fbem-6616	59	7	to	to	ADP
fbem-6616	59	8	the	the	DET
fbem-6616	59	9	actual	actual	ADJ
fbem-6616	59	10	value	value	NOUN
fbem-6616	59	11	and	and	CCONJ
fbem-6616	59	12	calculate	calculate	VERB
fbem-6616	59	13	the	the	DET
fbem-6616	59	14	mean	mean	ADJ
fbem-6616	59	15	squared	square	VERB
fbem-6616	59	16	error	error	NOUN
fbem-6616	59	17	(	(	PUNCT
fbem-6616	59	18	mse	mse	NOUN
fbem-6616	59	19	)	)	PUNCT
fbem-6616	59	20	between	between	ADP
fbem-6616	59	21	the	the	DET
fbem-6616	59	22	two	two	NUM
fbem-6616	59	23	.	.	PUNCT
fbem-6616	60	1	mean	mean	VERB
fbem-6616	60	2	squared	square	VERB
fbem-6616	60	3	error	error	NOUN
fbem-6616	60	4	(	(	PUNCT
fbem-6616	60	5	mse	mse	NOUN
fbem-6616	60	6	)	)	PUNCT
fbem-6616	60	7	loss	loss	NOUN
fbem-6616	60	8	function	function	NOUN
fbem-6616	60	9	could	could	AUX
fbem-6616	60	10	be	be	AUX
fbem-6616	60	11	written	write	VERB
fbem-6616	60	12	by	by	ADP
fbem-6616	60	13	:	:	PUNCT
fbem-6616	60	14	2	2	NUM
fbem-6616	60	15	1	1	NUM
fbem-6616	60	16	1	1	NUM
fbem-6616	60	17	ˆmse	ˆmse	NOUN
fbem-6616	60	18	(	(	PUNCT
fbem-6616	60	19	)	)	PUNCT
fbem-6616	61	1	n	n	CCONJ
fbem-6616	61	2	i	i	PRON
fbem-6616	62	1	i	i	PRON
fbem-6616	62	2	i	i	VERB
fbem-6616	63	1	y	y	VERB
fbem-6616	63	2	y	y	PROPN
fbem-6616	64	1	n	n	CCONJ
fbem-6616	64	2			NUM
fbem-6616	64	3			NUM
fbem-6616	65	1			NOUN
fbem-6616	65	2	(	(	PUNCT
fbem-6616	65	3	7	7	NUM
fbem-6616	65	4	)	)	PUNCT
fbem-6616	65	5	where	where	SCONJ
fbem-6616	65	6	iy	iy	PROPN
fbem-6616	65	7	is	be	AUX
fbem-6616	65	8	the	the	DET
fbem-6616	65	9	true	true	ADJ
fbem-6616	65	10	value	value	NOUN
fbem-6616	65	11	,	,	PUNCT
fbem-6616	65	12	ˆiy	ˆiy	NOUN
fbem-6616	65	13	is	be	AUX
fbem-6616	65	14	the	the	DET
fbem-6616	65	15	predicted	predict	VERB
fbem-6616	65	16	value	value	NOUN
fbem-6616	65	17	,	,	PUNCT
fbem-6616	65	18	and	and	CCONJ
fbem-6616	65	19	n	n	PRON
fbem-6616	65	20	is	be	AUX
fbem-6616	65	21	the	the	DET
fbem-6616	65	22	number	number	NOUN
fbem-6616	65	23	of	of	ADP
fbem-6616	65	24	data	datum	NOUN
fbem-6616	65	25	points	point	NOUN
fbem-6616	65	26	.	.	PUNCT
fbem-6616	66	1	3	3	X
fbem-6616	66	2	.	.	X
fbem-6616	66	3	summary	summary	VERB
fbem-6616	66	4	the	the	DET
fbem-6616	66	5	bi	bi	ADJ
fbem-6616	66	6	-	-	ADJ
fbem-6616	66	7	lstm	lstm	ADJ
fbem-6616	66	8	model	model	NOUN
fbem-6616	66	9	achieved	achieve	VERB
fbem-6616	66	10	an	an	DET
fbem-6616	66	11	mse	mse	NOUN
fbem-6616	66	12	of	of	ADP
fbem-6616	66	13	0.00020	0.00020	NUM
fbem-6616	66	14	on	on	ADP
fbem-6616	66	15	the	the	DET
fbem-6616	66	16	testing	testing	NOUN
fbem-6616	66	17	set	set	NOUN
fbem-6616	66	18	,	,	PUNCT
fbem-6616	66	19	which	which	PRON
fbem-6616	66	20	indicates	indicate	VERB
fbem-6616	66	21	that	that	SCONJ
fbem-6616	66	22	the	the	DET
fbem-6616	66	23	model	model	NOUN
fbem-6616	66	24	is	be	AUX
fbem-6616	66	25	able	able	ADJ
fbem-6616	66	26	to	to	PART
fbem-6616	66	27	accurately	accurately	ADV
fbem-6616	66	28	predict	predict	VERB
fbem-6616	66	29	future	future	ADJ
fbem-6616	66	30	values	value	NOUN
fbem-6616	66	31	of	of	ADP
fbem-6616	66	32	the	the	DET
fbem-6616	66	33	apple	apple	PROPN
fbem-6616	66	34	inc	inc	PROPN
fbem-6616	66	35	.	.	PUNCT
fbem-6616	67	1	we	we	PRON
fbem-6616	67	2	can	can	AUX
fbem-6616	67	3	also	also	ADV
fbem-6616	67	4	visualize	visualize	VERB
fbem-6616	67	5	the	the	DET
fbem-6616	67	6	predicted	predict	VERB
fbem-6616	67	7	values	value	NOUN
fbem-6616	67	8	against	against	ADP
fbem-6616	67	9	the	the	DET
fbem-6616	67	10	actual	actual	ADJ
fbem-6616	67	11	values	value	NOUN
fbem-6616	67	12	using	use	VERB
fbem-6616	67	13	a	a	DET
fbem-6616	67	14	line	line	NOUN
fbem-6616	67	15	chart	chart	NOUN
fbem-6616	67	16	.	.	PUNCT
fbem-6616	68	1	figure	figure	NOUN
fbem-6616	68	2	2	2	NUM
fbem-6616	68	3	shows	show	VERB
fbem-6616	68	4	the	the	DET
fbem-6616	68	5	actual	actual	ADJ
fbem-6616	68	6	and	and	CCONJ
fbem-6616	68	7	predicted	predict	VERB
fbem-6616	68	8	values	value	NOUN
fbem-6616	68	9	of	of	ADP
fbem-6616	68	10	the	the	DET
fbem-6616	68	11	apple	apple	PROPN
fbem-6616	68	12	inc	inc	PROPN
fbem-6616	68	13	for	for	ADP
fbem-6616	68	14	the	the	DET
fbem-6616	68	15	testing	testing	NOUN
fbem-6616	68	16	set	set	NOUN
fbem-6616	68	17	.	.	PUNCT
fbem-6616	69	1	53	53	NUM
fbem-6616	69	2	figure	figure	NOUN
fbem-6616	69	3	2	2	NUM
fbem-6616	69	4	actual	actual	ADJ
fbem-6616	69	5	and	and	CCONJ
fbem-6616	69	6	predicted	predict	VERB
fbem-6616	69	7	values	value	NOUN
fbem-6616	69	8	of	of	ADP
fbem-6616	69	9	the	the	DET
fbem-6616	69	10	apple	apple	PROPN
fbem-6616	69	11	inc	inc	PROPN
fbem-6616	69	12	for	for	ADP
fbem-6616	69	13	the	the	DET
fbem-6616	69	14	testing	testing	NOUN
fbem-6616	69	15	set	set	VERB
fbem-6616	69	16	after	after	ADP
fbem-6616	69	17	training	training	NOUN
fbem-6616	69	18	and	and	CCONJ
fbem-6616	69	19	evaluating	evaluate	VERB
fbem-6616	69	20	the	the	DET
fbem-6616	69	21	bi	bi	ADJ
fbem-6616	69	22	-	-	ADJ
fbem-6616	69	23	lstm	lstm	ADJ
fbem-6616	69	24	model	model	NOUN
fbem-6616	69	25	on	on	ADP
fbem-6616	69	26	the	the	DET
fbem-6616	69	27	historical	historical	ADJ
fbem-6616	69	28	stock	stock	NOUN
fbem-6616	69	29	price	price	NOUN
fbem-6616	69	30	data	datum	NOUN
fbem-6616	69	31	,	,	PUNCT
fbem-6616	69	32	we	we	PRON
fbem-6616	69	33	can	can	AUX
fbem-6616	69	34	draw	draw	VERB
fbem-6616	69	35	some	some	DET
fbem-6616	69	36	conclusions	conclusion	NOUN
fbem-6616	69	37	about	about	ADP
fbem-6616	69	38	its	its	PRON
fbem-6616	69	39	performance	performance	NOUN
fbem-6616	69	40	and	and	CCONJ
fbem-6616	69	41	effectiveness	effectiveness	NOUN
fbem-6616	69	42	for	for	ADP
fbem-6616	69	43	predicting	predict	VERB
fbem-6616	69	44	future	future	ADJ
fbem-6616	69	45	stock	stock	NOUN
fbem-6616	69	46	prices	price	NOUN
fbem-6616	69	47	.	.	PUNCT
fbem-6616	70	1	first	first	ADV
fbem-6616	70	2	,	,	PUNCT
fbem-6616	70	3	we	we	PRON
fbem-6616	70	4	can	can	AUX
fbem-6616	70	5	see	see	VERB
fbem-6616	70	6	from	from	ADP
fbem-6616	70	7	the	the	DET
fbem-6616	70	8	plot	plot	NOUN
fbem-6616	70	9	of	of	ADP
fbem-6616	70	10	actual	actual	ADJ
fbem-6616	70	11	vs.	vs.	NOUN
fbem-6616	70	12	predicted	predict	VERB
fbem-6616	70	13	stock	stock	NOUN
fbem-6616	70	14	prices	price	NOUN
fbem-6616	70	15	that	that	SCONJ
fbem-6616	70	16	the	the	DET
fbem-6616	70	17	bi	bi	ADJ
fbem-6616	70	18	-	-	ADJ
fbem-6616	70	19	lstm	lstm	ADJ
fbem-6616	70	20	model	model	NOUN
fbem-6616	70	21	is	be	AUX
fbem-6616	70	22	able	able	ADJ
fbem-6616	70	23	to	to	PART
fbem-6616	70	24	capture	capture	VERB
fbem-6616	70	25	some	some	PRON
fbem-6616	70	26	of	of	ADP
fbem-6616	70	27	the	the	DET
fbem-6616	70	28	trends	trend	NOUN
fbem-6616	70	29	and	and	CCONJ
fbem-6616	70	30	patterns	pattern	NOUN
fbem-6616	70	31	in	in	ADP
fbem-6616	70	32	the	the	DET
fbem-6616	70	33	data	datum	NOUN
fbem-6616	70	34	,	,	PUNCT
fbem-6616	70	35	although	although	SCONJ
fbem-6616	70	36	there	there	PRON
fbem-6616	70	37	are	be	VERB
fbem-6616	70	38	also	also	ADV
fbem-6616	70	39	some	some	DET
fbem-6616	70	40	instances	instance	NOUN
fbem-6616	70	41	where	where	SCONJ
fbem-6616	70	42	the	the	DET
fbem-6616	70	43	predictions	prediction	NOUN
fbem-6616	70	44	deviate	deviate	VERB
fbem-6616	70	45	significantly	significantly	ADV
fbem-6616	70	46	from	from	ADP
fbem-6616	70	47	the	the	DET
fbem-6616	70	48	actual	actual	ADJ
fbem-6616	70	49	values	value	NOUN
fbem-6616	70	50	.	.	PUNCT
fbem-6616	71	1	this	this	PRON
fbem-6616	71	2	suggests	suggest	VERB
fbem-6616	71	3	that	that	SCONJ
fbem-6616	71	4	the	the	DET
fbem-6616	71	5	model	model	NOUN
fbem-6616	71	6	is	be	AUX
fbem-6616	71	7	able	able	ADJ
fbem-6616	71	8	to	to	PART
fbem-6616	71	9	capture	capture	VERB
fbem-6616	71	10	some	some	PRON
fbem-6616	71	11	of	of	ADP
fbem-6616	71	12	the	the	DET
fbem-6616	71	13	short	short	ADJ
fbem-6616	71	14	-	-	PUNCT
fbem-6616	71	15	term	term	NOUN
fbem-6616	71	16	dependencies	dependency	NOUN
fbem-6616	71	17	in	in	ADP
fbem-6616	71	18	the	the	DET
fbem-6616	71	19	data	datum	NOUN
fbem-6616	71	20	,	,	PUNCT
fbem-6616	71	21	but	but	CCONJ
fbem-6616	71	22	may	may	AUX
fbem-6616	71	23	struggle	struggle	VERB
fbem-6616	71	24	with	with	ADP
fbem-6616	71	25	longer	long	ADJ
fbem-6616	71	26	-	-	PUNCT
fbem-6616	71	27	term	term	NOUN
fbem-6616	71	28	trends	trend	NOUN
fbem-6616	71	29	or	or	CCONJ
fbem-6616	71	30	sudden	sudden	ADJ
fbem-6616	71	31	changes	change	NOUN
fbem-6616	71	32	in	in	ADP
fbem-6616	71	33	the	the	DET
fbem-6616	71	34	market	market	NOUN
fbem-6616	71	35	.	.	PUNCT
fbem-6616	72	1	second	second	ADV
fbem-6616	72	2	,	,	PUNCT
fbem-6616	72	3	we	we	PRON
fbem-6616	72	4	can	can	AUX
fbem-6616	72	5	look	look	VERB
fbem-6616	72	6	at	at	ADP
fbem-6616	72	7	the	the	DET
fbem-6616	72	8	mean	mean	ADJ
fbem-6616	72	9	squared	square	VERB
fbem-6616	72	10	error	error	NOUN
fbem-6616	72	11	(	(	PUNCT
fbem-6616	72	12	mse	mse	NOUN
fbem-6616	72	13	)	)	PUNCT
fbem-6616	72	14	of	of	ADP
fbem-6616	72	15	the	the	DET
fbem-6616	72	16	model	model	NOUN
fbem-6616	72	17	on	on	ADP
fbem-6616	72	18	the	the	DET
fbem-6616	72	19	testing	testing	NOUN
fbem-6616	72	20	data	datum	NOUN
fbem-6616	72	21	as	as	ADP
fbem-6616	72	22	a	a	DET
fbem-6616	72	23	measure	measure	NOUN
fbem-6616	72	24	of	of	ADP
fbem-6616	72	25	its	its	PRON
fbem-6616	72	26	performance	performance	NOUN
fbem-6616	72	27	.	.	PUNCT
fbem-6616	73	1	in	in	ADP
fbem-6616	73	2	our	our	PRON
fbem-6616	73	3	experiments	experiment	NOUN
fbem-6616	73	4	,	,	PUNCT
fbem-6616	73	5	we	we	PRON
fbem-6616	73	6	achieved	achieve	VERB
fbem-6616	73	7	an	an	DET
fbem-6616	73	8	mse	mse	NOUN
fbem-6616	73	9	of	of	ADP
fbem-6616	73	10	around	around	ADP
fbem-6616	73	11	0.0003	0.0003	NUM
fbem-6616	73	12	,	,	PUNCT
fbem-6616	73	13	which	which	PRON
fbem-6616	73	14	is	be	AUX
fbem-6616	73	15	relatively	relatively	ADV
fbem-6616	73	16	low	low	ADJ
fbem-6616	73	17	and	and	CCONJ
fbem-6616	73	18	suggests	suggest	VERB
fbem-6616	73	19	that	that	SCONJ
fbem-6616	73	20	the	the	DET
fbem-6616	73	21	model	model	NOUN
fbem-6616	73	22	is	be	AUX
fbem-6616	73	23	able	able	ADJ
fbem-6616	73	24	to	to	PART
fbem-6616	73	25	make	make	VERB
fbem-6616	73	26	accurate	accurate	ADJ
fbem-6616	73	27	predictions	prediction	NOUN
fbem-6616	73	28	on	on	ADP
fbem-6616	73	29	the	the	DET
fbem-6616	73	30	testing	testing	NOUN
fbem-6616	73	31	data	datum	NOUN
fbem-6616	73	32	.	.	PUNCT
fbem-6616	74	1	however	however	ADV
fbem-6616	74	2	,	,	PUNCT
fbem-6616	74	3	it	it	PRON
fbem-6616	74	4	's	be	AUX
fbem-6616	74	5	important	important	ADJ
fbem-6616	74	6	to	to	PART
fbem-6616	74	7	note	note	VERB
fbem-6616	74	8	that	that	SCONJ
fbem-6616	74	9	the	the	DET
fbem-6616	74	10	mse	mse	NOUN
fbem-6616	74	11	may	may	AUX
fbem-6616	74	12	not	not	PART
fbem-6616	74	13	be	be	AUX
fbem-6616	74	14	the	the	DET
fbem-6616	74	15	most	most	ADV
fbem-6616	74	16	informative	informative	ADJ
fbem-6616	74	17	metric	metric	NOUN
fbem-6616	74	18	for	for	ADP
fbem-6616	74	19	evaluating	evaluate	VERB
fbem-6616	74	20	the	the	DET
fbem-6616	74	21	performance	performance	NOUN
fbem-6616	74	22	of	of	ADP
fbem-6616	74	23	a	a	DET
fbem-6616	74	24	stock	stock	NOUN
fbem-6616	74	25	price	price	NOUN
fbem-6616	74	26	prediction	prediction	NOUN
fbem-6616	74	27	model	model	NOUN
fbem-6616	74	28	,	,	PUNCT
fbem-6616	74	29	since	since	SCONJ
fbem-6616	74	30	it	it	PRON
fbem-6616	74	31	does	do	AUX
fbem-6616	74	32	n't	not	PART
fbem-6616	74	33	take	take	VERB
fbem-6616	74	34	into	into	ADP
fbem-6616	74	35	account	account	NOUN
fbem-6616	74	36	factors	factor	NOUN
fbem-6616	74	37	such	such	ADJ
fbem-6616	74	38	as	as	ADP
fbem-6616	74	39	transaction	transaction	NOUN
fbem-6616	74	40	costs	cost	NOUN
fbem-6616	74	41	,	,	PUNCT
fbem-6616	74	42	market	market	NOUN
fbem-6616	74	43	volatility	volatility	NOUN
fbem-6616	74	44	,	,	PUNCT
fbem-6616	74	45	or	or	CCONJ
fbem-6616	74	46	other	other	ADJ
fbem-6616	74	47	external	external	ADJ
fbem-6616	74	48	factors	factor	NOUN
fbem-6616	74	49	that	that	PRON
fbem-6616	74	50	can	can	AUX
fbem-6616	74	51	affect	affect	VERB
fbem-6616	74	52	the	the	DET
fbem-6616	74	53	actual	actual	ADJ
fbem-6616	74	54	returns	return	NOUN
fbem-6616	74	55	on	on	ADP
fbem-6616	74	56	an	an	DET
fbem-6616	74	57	investment	investment	NOUN
fbem-6616	74	58	.	.	PUNCT
fbem-6616	75	1	overall	overall	ADV
fbem-6616	75	2	,	,	PUNCT
fbem-6616	75	3	we	we	PRON
fbem-6616	75	4	can	can	AUX
fbem-6616	75	5	conclude	conclude	VERB
fbem-6616	75	6	that	that	SCONJ
fbem-6616	75	7	the	the	DET
fbem-6616	75	8	bi	bi	ADJ
fbem-6616	75	9	-	-	ADJ
fbem-6616	75	10	lstm	lstm	ADJ
fbem-6616	75	11	model	model	NOUN
fbem-6616	75	12	is	be	AUX
fbem-6616	75	13	a	a	DET
fbem-6616	75	14	promising	promising	ADJ
fbem-6616	75	15	tool	tool	NOUN
fbem-6616	75	16	for	for	ADP
fbem-6616	75	17	predicting	predict	VERB
fbem-6616	75	18	future	future	ADJ
fbem-6616	75	19	stock	stock	NOUN
fbem-6616	75	20	prices	price	NOUN
fbem-6616	75	21	,	,	PUNCT
fbem-6616	75	22	but	but	CCONJ
fbem-6616	75	23	that	that	SCONJ
fbem-6616	75	24	it	it	PRON
fbem-6616	75	25	may	may	AUX
fbem-6616	75	26	not	not	PART
fbem-6616	75	27	be	be	AUX
fbem-6616	75	28	able	able	ADJ
fbem-6616	75	29	to	to	PART
fbem-6616	75	30	capture	capture	VERB
fbem-6616	75	31	all	all	PRON
fbem-6616	75	32	of	of	ADP
fbem-6616	75	33	the	the	DET
fbem-6616	75	34	complex	complex	ADJ
fbem-6616	75	35	dynamics	dynamic	NOUN
fbem-6616	75	36	and	and	CCONJ
fbem-6616	75	37	fluctuations	fluctuation	NOUN
fbem-6616	75	38	of	of	ADP
fbem-6616	75	39	the	the	DET
fbem-6616	75	40	market	market	NOUN
fbem-6616	75	41	.	.	PUNCT
fbem-6616	76	1	further	further	ADJ
fbem-6616	76	2	research	research	NOUN
fbem-6616	76	3	and	and	CCONJ
fbem-6616	76	4	experimentation	experimentation	NOUN
fbem-6616	76	5	may	may	AUX
fbem-6616	76	6	be	be	AUX
fbem-6616	76	7	needed	need	VERB
fbem-6616	76	8	to	to	PART
fbem-6616	76	9	improve	improve	VERB
fbem-6616	76	10	the	the	DET
fbem-6616	76	11	performance	performance	NOUN
fbem-6616	76	12	of	of	ADP
fbem-6616	76	13	the	the	DET
fbem-6616	76	14	model	model	NOUN
fbem-6616	76	15	and	and	CCONJ
fbem-6616	76	16	make	make	VERB
fbem-6616	76	17	it	it	PRON
fbem-6616	76	18	more	more	ADV
fbem-6616	76	19	robust	robust	ADJ
fbem-6616	76	20	and	and	CCONJ
fbem-6616	76	21	reliable	reliable	ADJ
fbem-6616	76	22	for	for	ADP
fbem-6616	76	23	realworld	realworld	PROPN
fbem-6616	76	24	applications	application	NOUN
fbem-6616	76	25	.	.	PUNCT
fbem-6616	77	1	in	in	ADP
fbem-6616	77	2	this	this	DET
fbem-6616	77	3	paper	paper	NOUN
fbem-6616	77	4	,	,	PUNCT
fbem-6616	77	5	we	we	PRON
fbem-6616	77	6	used	use	VERB
fbem-6616	77	7	a	a	DET
fbem-6616	77	8	bi	bi	ADJ
fbem-6616	77	9	-	-	ADJ
fbem-6616	77	10	lstm	lstm	ADJ
fbem-6616	77	11	neural	neural	ADJ
fbem-6616	77	12	network	network	NOUN
fbem-6616	77	13	to	to	PART
fbem-6616	77	14	analyze	analyze	VERB
fbem-6616	77	15	a	a	DET
fbem-6616	77	16	financial	financial	ADJ
fbem-6616	77	17	time	time	NOUN
fbem-6616	77	18	series	series	NOUN
fbem-6616	77	19	dataset	dataset	VERB
fbem-6616	77	20	and	and	CCONJ
fbem-6616	77	21	make	make	VERB
fbem-6616	77	22	predictions	prediction	NOUN
fbem-6616	77	23	about	about	ADP
fbem-6616	77	24	future	future	ADJ
fbem-6616	77	25	values	value	NOUN
fbem-6616	77	26	.	.	PUNCT
fbem-6616	78	1	the	the	DET
fbem-6616	78	2	model	model	NOUN
fbem-6616	78	3	achieved	achieve	VERB
fbem-6616	78	4	good	good	ADJ
fbem-6616	78	5	performance	performance	NOUN
fbem-6616	78	6	,	,	PUNCT
fbem-6616	78	7	with	with	ADP
fbem-6616	78	8	an	an	DET
fbem-6616	78	9	mse	mse	NOUN
fbem-6616	78	10	of	of	ADP
fbem-6616	78	11	0.00020	0.00020	NUM
fbem-6616	78	12	on	on	ADP
fbem-6616	78	13	the	the	DET
fbem-6616	78	14	testing	testing	NOUN
fbem-6616	78	15	set	set	NOUN
fbem-6616	78	16	.	.	PUNCT
fbem-6616	79	1	the	the	DET
fbem-6616	79	2	bi	bi	NOUN
fbem-6616	79	3	-	-	NOUN
fbem-6616	79	4	lstm	lstm	ADJ
fbem-6616	79	5	is	be	AUX
fbem-6616	79	6	a	a	DET
fbem-6616	79	7	powerful	powerful	ADJ
fbem-6616	79	8	tool	tool	NOUN
fbem-6616	79	9	for	for	ADP
fbem-6616	79	10	analyzing	analyze	VERB
fbem-6616	79	11	financial	financial	ADJ
fbem-6616	79	12	data	datum	NOUN
fbem-6616	79	13	,	,	PUNCT
fbem-6616	79	14	and	and	CCONJ
fbem-6616	79	15	its	its	PRON
fbem-6616	79	16	use	use	NOUN
fbem-6616	79	17	can	can	AUX
fbem-6616	79	18	lead	lead	VERB
fbem-6616	79	19	to	to	ADP
fbem-6616	79	20	more	more	ADV
fbem-6616	79	21	accurate	accurate	ADJ
fbem-6616	79	22	predictions	prediction	NOUN
fbem-6616	79	23	and	and	CCONJ
fbem-6616	79	24	better	well	ADJ
fbem-6616	79	25	decision	decision	NOUN
fbem-6616	79	26	-	-	PUNCT
fbem-6616	79	27	making	making	NOUN
fbem-6616	79	28	in	in	ADP
fbem-6616	79	29	the	the	DET
fbem-6616	79	30	financial	financial	ADJ
fbem-6616	79	31	industry	industry	NOUN
fbem-6616	79	32	.	.	PUNCT
fbem-6616	80	1	acknowledgment	acknowledgment	NOUN
fbem-6616	80	2	the	the	DET
fbem-6616	80	3	authors	author	NOUN
fbem-6616	80	4	gratefully	gratefully	ADV
fbem-6616	80	5	acknowledge	acknowledge	VERB
fbem-6616	80	6	the	the	DET
fbem-6616	80	7	financial	financial	ADJ
fbem-6616	80	8	support	support	NOUN
fbem-6616	80	9	from	from	ADP
fbem-6616	80	10	business	business	NOUN
fbem-6616	80	11	school	school	NOUN
fbem-6616	80	12	of	of	ADP
fbem-6616	80	13	rutgers	rutgers	PROPN
fbem-6616	80	14	university	university	PROPN
fbem-6616	80	15	.	.	PUNCT
fbem-6616	81	1	references	reference	NOUN
fbem-6616	81	2	[	[	X
fbem-6616	81	3	1	1	NUM
fbem-6616	81	4	]	]	PUNCT
fbem-6616	81	5	s.	s.	PROPN
fbem-6616	81	6	siami	siami	PROPN
fbem-6616	81	7	-	-	PUNCT
fbem-6616	81	8	namini	namini	ADJ
fbem-6616	81	9	,	,	PUNCT
fbem-6616	81	10	n.	n.	NOUN
fbem-6616	81	11	tavakoli	tavakoli	NOUN
fbem-6616	81	12	,	,	PUNCT
fbem-6616	81	13	and	and	CCONJ
fbem-6616	81	14	a.	a.	PROPN
fbem-6616	81	15	s.	s.	PROPN
fbem-6616	81	16	namin	namin	PROPN
fbem-6616	81	17	,	,	PUNCT
fbem-6616	81	18	"	"	PUNCT
fbem-6616	81	19	the	the	DET
fbem-6616	81	20	performance	performance	NOUN
fbem-6616	81	21	of	of	ADP
fbem-6616	81	22	lstm	lstm	NOUN
fbem-6616	81	23	and	and	CCONJ
fbem-6616	81	24	bilstm	bilstm	NOUN
fbem-6616	81	25	in	in	ADP
fbem-6616	81	26	forecasting	forecasting	NOUN
fbem-6616	81	27	time	time	NOUN
fbem-6616	81	28	series	series	NOUN
fbem-6616	81	29	,	,	PUNCT
fbem-6616	81	30	"	"	PUNCT
fbem-6616	81	31	in	in	ADP
fbem-6616	81	32	2019	2019	NUM
fbem-6616	81	33	ieee	ieee	NOUN
fbem-6616	81	34	international	international	ADJ
fbem-6616	81	35	conference	conference	NOUN
fbem-6616	81	36	on	on	ADP
fbem-6616	81	37	big	big	ADJ
fbem-6616	81	38	data	datum	NOUN
fbem-6616	81	39	(	(	PUNCT
fbem-6616	81	40	big	big	ADJ
fbem-6616	81	41	data	datum	NOUN
fbem-6616	81	42	)	)	PUNCT
fbem-6616	81	43	,	,	PUNCT
fbem-6616	81	44	2019	2019	NUM
fbem-6616	81	45	:	:	PUNCT
fbem-6616	81	46	ieee	ieee	NOUN
fbem-6616	81	47	,	,	PUNCT
fbem-6616	81	48	pp	pp	ADJ
fbem-6616	81	49	.	.	PUNCT
fbem-6616	82	1	3285	3285	NUM
fbem-6616	82	2	-	-	SYM
fbem-6616	82	3	3292	3292	NUM
fbem-6616	82	4	.	.	PUNCT
fbem-6616	83	1	[	[	X
fbem-6616	83	2	2	2	X
fbem-6616	83	3	]	]	PUNCT
fbem-6616	83	4	s.	s.	PROPN
fbem-6616	83	5	gui	gui	PROPN
fbem-6616	83	6	-	-	PUNCT
fbem-6616	83	7	xiang	xiang	PROPN
fbem-6616	83	8	,	,	PUNCT
fbem-6616	83	9	z.	z.	PROPN
fbem-6616	83	10	xian	xian	PROPN
fbem-6616	83	11	-	-	PUNCT
fbem-6616	83	12	zhuo	zhuo	PROPN
fbem-6616	83	13	,	,	PUNCT
fbem-6616	83	14	y.-z	y.-z	PROPN
fbem-6616	83	15	.	.	PUNCT
fbem-6616	84	1	zhang	zhang	PROPN
fbem-6616	84	2	,	,	PUNCT
fbem-6616	84	3	and	and	CCONJ
fbem-6616	84	4	h.	h.	PROPN
fbem-6616	84	5	chen	chen	PROPN
fbem-6616	84	6	-	-	PUNCT
fbem-6616	84	7	yu	yu	PROPN
fbem-6616	84	8	,	,	PUNCT
fbem-6616	84	9	"	"	PUNCT
fbem-6616	84	10	research	research	NOUN
fbem-6616	84	11	on	on	ADP
fbem-6616	84	12	criticality	criticality	NOUN
fbem-6616	84	13	analysis	analysis	NOUN
fbem-6616	84	14	method	method	NOUN
fbem-6616	84	15	of	of	ADP
fbem-6616	84	16	cnc	cnc	ADJ
fbem-6616	84	17	machine	machine	NOUN
fbem-6616	84	18	tools	tool	NOUN
fbem-6616	84	19	components	component	NOUN
fbem-6616	84	20	under	under	ADP
fbem-6616	84	21	fault	fault	NOUN
fbem-6616	84	22	rate	rate	NOUN
fbem-6616	84	23	correlation	correlation	NOUN
fbem-6616	84	24	,	,	PUNCT
fbem-6616	84	25	"	"	PUNCT
fbem-6616	84	26	in	in	ADP
fbem-6616	84	27	iop	iop	PROPN
fbem-6616	84	28	conference	conference	NOUN
fbem-6616	84	29	series	series	NOUN
fbem-6616	84	30	:	:	PUNCT
fbem-6616	84	31	materials	material	NOUN
fbem-6616	84	32	science	science	NOUN
fbem-6616	84	33	and	and	CCONJ
fbem-6616	84	34	engineering	engineering	NOUN
fbem-6616	84	35	,	,	PUNCT
fbem-6616	84	36	2018	2018	NUM
fbem-6616	84	37	,	,	PUNCT
fbem-6616	84	38	vol	vol	NOUN
fbem-6616	84	39	.	.	PROPN
fbem-6616	85	1	307	307	NUM
fbem-6616	85	2	,	,	PUNCT
fbem-6616	85	3	no	no	INTJ
fbem-6616	85	4	.	.	NOUN
fbem-6616	85	5	1	1	NUM
fbem-6616	85	6	:	:	PUNCT
fbem-6616	85	7	iop	iop	NOUN
fbem-6616	85	8	publishing	publishing	NOUN
fbem-6616	85	9	,	,	PUNCT
fbem-6616	85	10	p.	p.	NOUN
fbem-6616	85	11	012023	012023	NUM
fbem-6616	85	12	.	.	PUNCT
fbem-6616	86	1	[	[	X
fbem-6616	86	2	3	3	X
fbem-6616	86	3	]	]	X
fbem-6616	86	4	c.	c.	PROPN
fbem-6616	86	5	han	han	PROPN
fbem-6616	86	6	and	and	CCONJ
fbem-6616	86	7	t.	t.	PROPN
fbem-6616	86	8	lin	lin	PROPN
fbem-6616	86	9	,	,	PUNCT
fbem-6616	86	10	"	"	PUNCT
fbem-6616	86	11	reliability	reliability	NOUN
fbem-6616	86	12	evaluation	evaluation	NOUN
fbem-6616	86	13	of	of	ADP
fbem-6616	86	14	electro	electro	NOUN
fbem-6616	86	15	spindle	spindle	NOUN
fbem-6616	86	16	based	base	VERB
fbem-6616	86	17	on	on	ADP
fbem-6616	86	18	no	no	DET
fbem-6616	86	19	-	-	PUNCT
fbem-6616	86	20	failure	failure	NOUN
fbem-6616	86	21	data	datum	NOUN
fbem-6616	86	22	,	,	PUNCT
fbem-6616	86	23	"	"	PUNCT
fbem-6616	86	24	highlights	highlight	NOUN
fbem-6616	86	25	in	in	ADP
fbem-6616	86	26	science	science	NOUN
fbem-6616	86	27	,	,	PUNCT
fbem-6616	86	28	engineering	engineering	NOUN
fbem-6616	86	29	and	and	CCONJ
fbem-6616	86	30	technology	technology	NOUN
fbem-6616	86	31	,	,	PUNCT
fbem-6616	86	32	vol	vol	NOUN
fbem-6616	86	33	.	.	PROPN
fbem-6616	86	34	16	16	NUM
fbem-6616	86	35	,	,	PUNCT
fbem-6616	86	36	pp	pp	ADJ
fbem-6616	86	37	.	.	PUNCT
fbem-6616	87	1	86	86	NUM
fbem-6616	87	2	-	-	SYM
fbem-6616	87	3	97	97	NUM
fbem-6616	87	4	,	,	PUNCT
fbem-6616	87	5	2022	2022	NUM
fbem-6616	87	6	.	.	PUNCT
fbem-6616	88	1	[	[	X
fbem-6616	88	2	4	4	X
fbem-6616	88	3	]	]	X
fbem-6616	88	4	y.	y.	PROPN
fbem-6616	88	5	chen	chen	PROPN
fbem-6616	88	6	et	et	PROPN
fbem-6616	88	7	al	al	PROPN
fbem-6616	88	8	.	.	PROPN
fbem-6616	88	9	,	,	PUNCT
fbem-6616	88	10	"	"	PUNCT
fbem-6616	88	11	stock	stock	NOUN
fbem-6616	88	12	price	price	NOUN
fbem-6616	88	13	forecast	forecast	NOUN
fbem-6616	88	14	based	base	VERB
fbem-6616	88	15	on	on	ADP
fbem-6616	88	16	cnn	cnn	PROPN
fbem-6616	88	17	-	-	PUNCT
fbem-6616	88	18	bilstmeca	bilstmeca	NOUN
fbem-6616	88	19	model	model	NOUN
fbem-6616	88	20	,	,	PUNCT
fbem-6616	88	21	"	"	PUNCT
fbem-6616	88	22	scientific	scientific	ADJ
fbem-6616	88	23	programming	programming	NOUN
fbem-6616	88	24	,	,	PUNCT
fbem-6616	88	25	vol	vol	NOUN
fbem-6616	88	26	.	.	PROPN
fbem-6616	88	27	2021	2021	NUM
fbem-6616	88	28	,	,	PUNCT
fbem-6616	88	29	pp	pp	ADJ
fbem-6616	88	30	.	.	PUNCT
fbem-6616	89	1	1	1	NUM
fbem-6616	89	2	-	-	SYM
fbem-6616	89	3	20	20	NUM
fbem-6616	89	4	,	,	PUNCT
fbem-6616	89	5	2021	2021	NUM
fbem-6616	89	6	.	.	PUNCT
fbem-6616	90	1	[	[	X
fbem-6616	90	2	5	5	X
fbem-6616	90	3	]	]	PUNCT
fbem-6616	90	4	j.	j.	PROPN
fbem-6616	90	5	eapen	eapen	PROPN
fbem-6616	90	6	,	,	PUNCT
fbem-6616	90	7	d.	d.	PROPN
fbem-6616	90	8	bein	bein	PROPN
fbem-6616	90	9	,	,	PUNCT
fbem-6616	90	10	and	and	CCONJ
fbem-6616	90	11	a.	a.	PROPN
fbem-6616	90	12	verma	verma	PROPN
fbem-6616	90	13	,	,	PUNCT
fbem-6616	90	14	"	"	PUNCT
fbem-6616	90	15	novel	novel	ADJ
fbem-6616	90	16	deep	deep	ADJ
fbem-6616	90	17	learning	learning	NOUN
fbem-6616	90	18	model	model	NOUN
fbem-6616	90	19	with	with	ADP
fbem-6616	90	20	cnn	cnn	PROPN
fbem-6616	90	21	and	and	CCONJ
fbem-6616	90	22	bi	bi	ADJ
fbem-6616	90	23	-	-	ADJ
fbem-6616	90	24	directional	directional	ADJ
fbem-6616	90	25	lstm	lstm	NOUN
fbem-6616	90	26	for	for	ADP
fbem-6616	90	27	improved	improved	ADJ
fbem-6616	90	28	stock	stock	NOUN
fbem-6616	90	29	market	market	NOUN
fbem-6616	90	30	index	index	NOUN
fbem-6616	90	31	prediction	prediction	NOUN
fbem-6616	90	32	,	,	PUNCT
fbem-6616	90	33	"	"	PUNCT
fbem-6616	90	34	in	in	ADP
fbem-6616	90	35	2019	2019	NUM
fbem-6616	90	36	ieee	ieee	NOUN
fbem-6616	90	37	9th	9th	ADJ
fbem-6616	90	38	annual	annual	ADJ
fbem-6616	90	39	computing	computing	NOUN
fbem-6616	90	40	and	and	CCONJ
fbem-6616	90	41	communication	communication	NOUN
fbem-6616	90	42	workshop	workshop	NOUN
fbem-6616	90	43	and	and	CCONJ
fbem-6616	90	44	conference	conference	NOUN
fbem-6616	90	45	(	(	PUNCT
fbem-6616	90	46	ccwc	ccwc	PROPN
fbem-6616	90	47	)	)	PUNCT
fbem-6616	90	48	,	,	PUNCT
fbem-6616	90	49	2019	2019	NUM
fbem-6616	90	50	:	:	PUNCT
fbem-6616	90	51	ieee	ieee	NOUN
fbem-6616	90	52	,	,	PUNCT
fbem-6616	90	53	pp	pp	X
fbem-6616	90	54	.	.	PUNCT
fbem-6616	90	55	0264	0264	NUM
fbem-6616	90	56	-	-	SYM
fbem-6616	90	57	0270	0270	NUM
fbem-6616	90	58	.	.	PUNCT
fbem-6616	91	1	[	[	X
fbem-6616	91	2	6	6	NUM
fbem-6616	91	3	]	]	PUNCT
fbem-6616	91	4	c.	c.	PROPN
fbem-6616	91	5	h.	h.	PROPN
fbem-6616	91	6	guixiang	guixiang	PROPN
fbem-6616	91	7	shen	shen	PROPN
fbem-6616	91	8	,	,	PUNCT
fbem-6616	91	9	el	el	PROPN
fbem-6616	91	10	al	al	PROPN
fbem-6616	91	11	,	,	PUNCT
fbem-6616	91	12	"	"	PUNCT
fbem-6616	91	13	fault	fault	VERB
fbem-6616	91	14	analysis	analysis	NOUN
fbem-6616	91	15	of	of	ADP
fbem-6616	91	16	machine	machine	NOUN
fbem-6616	91	17	tools	tool	NOUN
fbem-6616	91	18	based	base	VERB
fbem-6616	91	19	on	on	ADP
fbem-6616	91	20	grey	grey	ADJ
fbem-6616	91	21	relational	relational	ADJ
fbem-6616	91	22	analysis	analysis	NOUN
fbem-6616	91	23	and	and	CCONJ
fbem-6616	91	24	main	main	ADJ
fbem-6616	91	25	factor	factor	NOUN
fbem-6616	91	26	analysis	analysis	NOUN
fbem-6616	91	27	,	,	PUNCT
fbem-6616	91	28	"	"	PUNCT
fbem-6616	91	29	in	in	ADP
fbem-6616	91	30	journal	journal	NOUN
fbem-6616	91	31	of	of	ADP
fbem-6616	91	32	physics	physics	PROPN
fbem-6616	91	33	:	:	PUNCT
fbem-6616	91	34	conference	conference	NOUN
fbem-6616	91	35	series	series	NOUN
fbem-6616	91	36	,	,	PUNCT
fbem-6616	91	37	2019	2019	NUM
fbem-6616	91	38	,	,	PUNCT
fbem-6616	91	39	vol	vol	NOUN
fbem-6616	91	40	.	.	PUNCT
fbem-6616	91	41	1069	1069	NUM
fbem-6616	91	42	:	:	PUNCT
fbem-6616	91	43	iop	iop	PROPN
fbem-6616	91	44	science	science	NOUN
fbem-6616	91	45	,	,	PUNCT
fbem-6616	91	46	p.	p.	NOUN
fbem-6616	91	47	012112	012112	NUM
fbem-6616	91	48	.	.	PUNCT
fbem-6616	92	1	[	[	X
fbem-6616	92	2	7	7	X
fbem-6616	92	3	]	]	X
fbem-6616	92	4	g.	g.	PROPN
fbem-6616	92	5	shen	shen	PROPN
fbem-6616	92	6	,	,	PUNCT
fbem-6616	92	7	w.	w.	PROPN
fbem-6616	92	8	zeng	zeng	PROPN
fbem-6616	92	9	,	,	PUNCT
fbem-6616	92	10	c.	c.	PROPN
fbem-6616	92	11	han	han	PROPN
fbem-6616	92	12	,	,	PUNCT
fbem-6616	92	13	p.	p.	PROPN
fbem-6616	92	14	liu	liu	PROPN
fbem-6616	92	15	,	,	PUNCT
fbem-6616	92	16	and	and	CCONJ
fbem-6616	92	17	y.	y.	PROPN
fbem-6616	92	18	zhang	zhang	PROPN
fbem-6616	92	19	,	,	PUNCT
fbem-6616	92	20	"	"	PUNCT
fbem-6616	92	21	determination	determination	NOUN
fbem-6616	92	22	of	of	ADP
fbem-6616	92	23	the	the	DET
fbem-6616	92	24	average	average	ADJ
fbem-6616	92	25	maintenance	maintenance	NOUN
fbem-6616	92	26	time	time	NOUN
fbem-6616	92	27	of	of	ADP
fbem-6616	92	28	cnc	cnc	ADJ
fbem-6616	92	29	machine	machine	NOUN
fbem-6616	92	30	tools	tool	NOUN
fbem-6616	92	31	based	base	VERB
fbem-6616	92	32	on	on	ADP
fbem-6616	92	33	type	type	NOUN
fbem-6616	92	34	ii	ii	NOUN
fbem-6616	92	35	failure	failure	NOUN
fbem-6616	92	36	correlation	correlation	NOUN
fbem-6616	92	37	,	,	PUNCT
fbem-6616	92	38	"	"	PUNCT
fbem-6616	92	39	eksploatacja	eksploatacja	PROPN
fbem-6616	92	40	i	i	PROPN
fbem-6616	92	41	niezawodność	niezawodność	PROPN
fbem-6616	92	42	,	,	PUNCT
fbem-6616	92	43	vol	vol	NOUN
fbem-6616	92	44	.	.	PROPN
fbem-6616	92	45	19	19	NUM
fbem-6616	92	46	,	,	PUNCT
fbem-6616	92	47	no	no	INTJ
fbem-6616	92	48	.	.	NOUN
fbem-6616	92	49	4	4	NUM
fbem-6616	92	50	,	,	PUNCT
fbem-6616	92	51	2017	2017	NUM
fbem-6616	92	52	.	.	PUNCT
fbem-6616	93	1	[	[	X
fbem-6616	93	2	8	8	NUM
fbem-6616	93	3	]	]	PUNCT
fbem-6616	93	4	z.	z.	PROPN
fbem-6616	93	5	huang	huang	PROPN
fbem-6616	93	6	,	,	PUNCT
fbem-6616	93	7	w.	w.	PROPN
fbem-6616	93	8	xu	xu	PROPN
fbem-6616	93	9	,	,	PUNCT
fbem-6616	93	10	and	and	CCONJ
fbem-6616	93	11	k.	k.	PROPN
fbem-6616	93	12	yu	yu	PROPN
fbem-6616	93	13	,	,	PUNCT
fbem-6616	93	14	"	"	PUNCT
fbem-6616	93	15	bidirectional	bidirectional	ADJ
fbem-6616	93	16	lstm	lstm	PROPN
fbem-6616	93	17	-	-	PUNCT
fbem-6616	93	18	crf	crf	NOUN
fbem-6616	93	19	models	model	NOUN
fbem-6616	93	20	for	for	ADP
fbem-6616	93	21	sequence	sequence	NOUN
fbem-6616	93	22	tagging	tagging	NOUN
fbem-6616	93	23	,	,	PUNCT
fbem-6616	93	24	"	"	PUNCT
fbem-6616	93	25	arxiv	arxiv	PROPN
fbem-6616	93	26	preprint	preprint	VERB
fbem-6616	93	27	arxiv:1508.01991	arxiv:1508.01991	NOUN
fbem-6616	93	28	,	,	PUNCT
fbem-6616	93	29	2015	2015	NUM
fbem-6616	93	30	.	.	PUNCT
fbem-6616	94	1	[	[	X
fbem-6616	94	2	9	9	NUM
fbem-6616	94	3	]	]	PUNCT
fbem-6616	94	4	w.	w.	PROPN
fbem-6616	94	5	lu	lu	PROPN
fbem-6616	94	6	,	,	PUNCT
fbem-6616	94	7	j.	j.	PROPN
fbem-6616	94	8	li	li	PROPN
fbem-6616	94	9	,	,	PUNCT
fbem-6616	94	10	j.	j.	PROPN
fbem-6616	94	11	wang	wang	PROPN
fbem-6616	94	12	,	,	PUNCT
fbem-6616	94	13	and	and	CCONJ
fbem-6616	94	14	l.	l.	PROPN
fbem-6616	94	15	qin	qin	PROPN
fbem-6616	94	16	,	,	PUNCT
fbem-6616	94	17	"	"	PUNCT
fbem-6616	94	18	a	a	DET
fbem-6616	94	19	cnn	cnn	PROPN
fbem-6616	94	20	-	-	PUNCT
fbem-6616	94	21	bilstm	bilstm	NOUN
fbem-6616	94	22	-	-	PUNCT
fbem-6616	94	23	am	am	NOUN
fbem-6616	94	24	method	method	NOUN
fbem-6616	94	25	for	for	ADP
fbem-6616	94	26	stock	stock	NOUN
fbem-6616	94	27	price	price	NOUN
fbem-6616	94	28	prediction	prediction	NOUN
fbem-6616	94	29	,	,	PUNCT
fbem-6616	94	30	"	"	PUNCT
fbem-6616	94	31	neural	neural	ADJ
fbem-6616	94	32	computing	computing	NOUN
fbem-6616	94	33	and	and	CCONJ
fbem-6616	94	34	applications	application	NOUN
fbem-6616	94	35	,	,	PUNCT
fbem-6616	94	36	vol	vol	NOUN
fbem-6616	94	37	.	.	PROPN
fbem-6616	94	38	33	33	NUM
fbem-6616	94	39	,	,	PUNCT
fbem-6616	94	40	pp	pp	ADJ
fbem-6616	94	41	.	.	PUNCT
fbem-6616	94	42	4741	4741	NUM
fbem-6616	94	43	-	-	SYM
fbem-6616	94	44	4753	4753	NUM
fbem-6616	94	45	,	,	PUNCT
fbem-6616	94	46	2021	2021	NUM
fbem-6616	94	47	.	.	PUNCT
fbem-6616	95	1	[	[	X
fbem-6616	95	2	10	10	NUM
fbem-6616	95	3	]	]	X
fbem-6616	95	4	y.	y.	PROPN
fbem-6616	95	5	zhang	zhang	PROPN
fbem-6616	95	6	,	,	PUNCT
fbem-6616	95	7	l.	l.	PROPN
fbem-6616	95	8	mu	mu	PROPN
fbem-6616	95	9	,	,	PUNCT
fbem-6616	95	10	g.	g.	PROPN
fbem-6616	95	11	shen	shen	PROPN
fbem-6616	95	12	,	,	PUNCT
fbem-6616	95	13	y.	y.	PROPN
fbem-6616	95	14	yu	yu	PROPN
fbem-6616	95	15	,	,	PUNCT
fbem-6616	95	16	and	and	CCONJ
fbem-6616	95	17	c.	c.	PROPN
fbem-6616	95	18	han	han	PROPN
fbem-6616	95	19	,	,	PUNCT
fbem-6616	95	20	"	"	PUNCT
fbem-6616	95	21	fault	fault	VERB
fbem-6616	95	22	diagnosis	diagnosis	NOUN
fbem-6616	95	23	strategy	strategy	NOUN
fbem-6616	95	24	of	of	ADP
fbem-6616	95	25	cnc	cnc	ADJ
fbem-6616	95	26	machine	machine	NOUN
fbem-6616	95	27	tools	tool	NOUN
fbem-6616	95	28	based	base	VERB
fbem-6616	95	29	on	on	ADP
fbem-6616	95	30	cascading	cascade	VERB
fbem-6616	95	31	failure	failure	NOUN
fbem-6616	95	32	,	,	PUNCT
fbem-6616	95	33	"	"	PUNCT
fbem-6616	95	34	journal	journal	NOUN
fbem-6616	95	35	of	of	ADP
fbem-6616	95	36	intelligent	intelligent	ADJ
fbem-6616	95	37	manufacturing	manufacturing	NOUN
fbem-6616	95	38	,	,	PUNCT
fbem-6616	95	39	vol	vol	NOUN
fbem-6616	95	40	.	.	PROPN
fbem-6616	95	41	30	30	NUM
fbem-6616	95	42	,	,	PUNCT
fbem-6616	95	43	pp	pp	ADJ
fbem-6616	95	44	.	.	PUNCT
fbem-6616	95	45	2193	2193	NUM
fbem-6616	95	46	-	-	SYM
fbem-6616	95	47	2202	2202	NUM
fbem-6616	95	48	,	,	PUNCT
fbem-6616	95	49	2019	2019	NUM
fbem-6616	95	50	.	.	PUNCT
fbem-6616	96	1	[	[	X
fbem-6616	96	2	11	11	NUM
fbem-6616	96	3	]	]	PUNCT
fbem-6616	96	4	j.	j.	PROPN
fbem-6616	96	5	shah	shah	PROPN
fbem-6616	96	6	,	,	PUNCT
fbem-6616	96	7	d.	d.	PROPN
fbem-6616	96	8	vaidya	vaidya	PROPN
fbem-6616	96	9	,	,	PUNCT
fbem-6616	96	10	and	and	CCONJ
fbem-6616	96	11	m.	m.	NOUN
fbem-6616	96	12	shah	shah	NOUN
fbem-6616	96	13	,	,	PUNCT
fbem-6616	96	14	"	"	PUNCT
fbem-6616	96	15	a	a	DET
fbem-6616	96	16	comprehensive	comprehensive	ADJ
fbem-6616	96	17	review	review	NOUN
fbem-6616	96	18	on	on	ADP
fbem-6616	96	19	multiple	multiple	ADJ
fbem-6616	96	20	hybrid	hybrid	ADJ
fbem-6616	96	21	deep	deep	ADJ
fbem-6616	96	22	learning	learning	NOUN
fbem-6616	96	23	approaches	approach	NOUN
fbem-6616	96	24	for	for	ADP
fbem-6616	96	25	stock	stock	NOUN
fbem-6616	96	26	prediction	prediction	NOUN
fbem-6616	96	27	,	,	PUNCT
fbem-6616	96	28	"	"	PUNCT
fbem-6616	96	29	intelligent	intelligent	ADJ
fbem-6616	96	30	systems	system	NOUN
fbem-6616	96	31	with	with	ADP
fbem-6616	96	32	applications	application	NOUN
fbem-6616	96	33	,	,	PUNCT
fbem-6616	96	34	p.	p.	NOUN
fbem-6616	96	35	200111	200111	NUM
fbem-6616	96	36	,	,	PUNCT
fbem-6616	96	37	2022	2022	NUM
fbem-6616	96	38	.	.	PUNCT
fbem-6616	96	39	54	54	NUM
fbem-6616	97	1	[	[	X
fbem-6616	97	2	12	12	NUM
fbem-6616	97	3	]	]	X
fbem-6616	97	4	f.	f.	PROPN
fbem-6616	97	5	shahid	shahid	PROPN
fbem-6616	97	6	,	,	PUNCT
fbem-6616	97	7	a.	a.	NOUN
fbem-6616	97	8	zameer	zameer	NOUN
fbem-6616	97	9	,	,	PUNCT
fbem-6616	97	10	and	and	CCONJ
fbem-6616	97	11	m.	m.	NOUN
fbem-6616	97	12	muneeb	muneeb	PROPN
fbem-6616	97	13	,	,	PUNCT
fbem-6616	97	14	"	"	PUNCT
fbem-6616	97	15	predictions	prediction	NOUN
fbem-6616	97	16	for	for	ADP
fbem-6616	97	17	covid-19	covid-19	PROPN
fbem-6616	97	18	with	with	ADP
fbem-6616	97	19	deep	deep	ADJ
fbem-6616	97	20	learning	learning	NOUN
fbem-6616	97	21	models	model	NOUN
fbem-6616	97	22	of	of	ADP
fbem-6616	97	23	lstm	lstm	PROPN
fbem-6616	97	24	,	,	PUNCT
fbem-6616	97	25	gru	gru	NOUN
fbem-6616	97	26	and	and	CCONJ
fbem-6616	97	27	bilstm	bilstm	NOUN
fbem-6616	97	28	,	,	PUNCT
fbem-6616	97	29	"	"	PUNCT
fbem-6616	97	30	chaos	chaos	NOUN
fbem-6616	97	31	,	,	PUNCT
fbem-6616	97	32	solitons	soliton	NOUN
fbem-6616	97	33	&	&	CCONJ
fbem-6616	97	34	fractals	fractal	NOUN
fbem-6616	97	35	,	,	PUNCT
fbem-6616	97	36	vol	vol	NOUN
fbem-6616	97	37	.	.	PROPN
fbem-6616	97	38	140	140	NUM
fbem-6616	97	39	,	,	PUNCT
fbem-6616	97	40	p.	p.	NOUN
fbem-6616	97	41	110212	110212	NUM
fbem-6616	97	42	,	,	PUNCT
fbem-6616	97	43	2020	2020	NUM
fbem-6616	97	44	.	.	PUNCT
fbem-6616	98	1	[	[	X
fbem-6616	98	2	13	13	NUM
fbem-6616	98	3	]	]	X
fbem-6616	98	4	y.	y.	PROPN
fbem-6616	98	5	li	li	PROPN
fbem-6616	98	6	et	et	PROPN
fbem-6616	98	7	al	al	PROPN
fbem-6616	98	8	.	.	PROPN
fbem-6616	98	9	,	,	PUNCT
fbem-6616	98	10	"	"	PUNCT
fbem-6616	98	11	dumbnet	dumbnet	NOUN
fbem-6616	98	12	:	:	PUNCT
fbem-6616	98	13	a	a	DET
fbem-6616	98	14	smart	smart	ADJ
fbem-6616	98	15	data	datum	NOUN
fbem-6616	98	16	center	center	NOUN
fbem-6616	98	17	network	network	NOUN
fbem-6616	98	18	fabric	fabric	NOUN
fbem-6616	98	19	with	with	ADP
fbem-6616	98	20	dumb	dumb	ADJ
fbem-6616	98	21	switches	switch	NOUN
fbem-6616	98	22	,	,	PUNCT
fbem-6616	98	23	"	"	PUNCT
fbem-6616	98	24	in	in	ADP
fbem-6616	98	25	proceedings	proceeding	NOUN
fbem-6616	98	26	of	of	ADP
fbem-6616	98	27	the	the	DET
fbem-6616	98	28	thirteenth	thirteenth	ADJ
fbem-6616	98	29	eurosys	eurosys	NOUN
fbem-6616	98	30	conference	conference	NOUN
fbem-6616	98	31	,	,	PUNCT
fbem-6616	98	32	2018	2018	NUM
fbem-6616	98	33	,	,	PUNCT
fbem-6616	98	34	pp	pp	ADJ
fbem-6616	98	35	.	.	PUNCT
fbem-6616	99	1	1	1	NUM
fbem-6616	99	2	-	-	SYM
fbem-6616	99	3	13	13	NUM
fbem-6616	99	4	.	.	PUNCT
fbem-6616	100	1	[	[	X
fbem-6616	100	2	14	14	NUM
fbem-6616	100	3	]	]	PUNCT
fbem-6616	100	4	z.	z.	PROPN
fbem-6616	100	5	song	song	PROPN
fbem-6616	100	6	,	,	PUNCT
fbem-6616	100	7	r.	r.	PROPN
fbem-6616	100	8	m.	m.	PROPN
fbem-6616	100	9	johnston	johnston	PROPN
fbem-6616	100	10	,	,	PUNCT
fbem-6616	100	11	and	and	CCONJ
fbem-6616	100	12	c.	c.	PROPN
fbem-6616	100	13	p.	p.	PROPN
fbem-6616	100	14	ng	ng	PROPN
fbem-6616	100	15	,	,	PUNCT
fbem-6616	100	16	"	"	PUNCT
fbem-6616	100	17	equitable	equitable	ADJ
fbem-6616	100	18	healthcare	healthcare	NOUN
fbem-6616	100	19	access	access	NOUN
fbem-6616	100	20	during	during	ADP
fbem-6616	100	21	the	the	DET
fbem-6616	100	22	pandemic	pandemic	NOUN
fbem-6616	100	23	:	:	PUNCT
fbem-6616	100	24	the	the	DET
fbem-6616	100	25	impact	impact	NOUN
fbem-6616	100	26	of	of	ADP
fbem-6616	100	27	digital	digital	ADJ
fbem-6616	100	28	divide	divide	NOUN
fbem-6616	100	29	and	and	CCONJ
fbem-6616	100	30	other	other	ADJ
fbem-6616	100	31	sociodemographic	sociodemographic	ADJ
fbem-6616	100	32	and	and	CCONJ
fbem-6616	100	33	systemic	systemic	ADJ
fbem-6616	100	34	factors	factor	NOUN
fbem-6616	100	35	,	,	PUNCT
fbem-6616	100	36	"	"	PUNCT
fbem-6616	100	37	applied	apply	VERB
fbem-6616	100	38	research	research	NOUN
fbem-6616	100	39	in	in	ADP
fbem-6616	100	40	artificial	artificial	ADJ
fbem-6616	100	41	intelligence	intelligence	NOUN
fbem-6616	100	42	and	and	CCONJ
fbem-6616	100	43	cloud	cloud	PROPN
fbem-6616	100	44	computing	computing	NOUN
fbem-6616	100	45	,	,	PUNCT
fbem-6616	100	46	vol	vol	NOUN
fbem-6616	100	47	.	.	PROPN
fbem-6616	101	1	4	4	NUM
fbem-6616	101	2	,	,	PUNCT
fbem-6616	101	3	no	no	INTJ
fbem-6616	101	4	.	.	NOUN
fbem-6616	101	5	1	1	NUM
fbem-6616	101	6	,	,	PUNCT
fbem-6616	101	7	pp	pp	ADJ
fbem-6616	101	8	.	.	PUNCT
fbem-6616	102	1	19	19	NUM
fbem-6616	102	2	-	-	SYM
fbem-6616	102	3	33	33	NUM
fbem-6616	102	4	,	,	PUNCT
fbem-6616	102	5	2021	2021	NUM
fbem-6616	102	6	.	.	PUNCT
fbem-6616	103	1	[	[	X
fbem-6616	103	2	15	15	NUM
fbem-6616	103	3	]	]	PUNCT
fbem-6616	103	4	z.	z.	PROPN
fbem-6616	103	5	song	song	PROPN
fbem-6616	103	6	,	,	PUNCT
fbem-6616	103	7	g.	g.	PROPN
fbem-6616	103	8	mellon	mellon	PROPN
fbem-6616	103	9	,	,	PUNCT
fbem-6616	103	10	and	and	CCONJ
fbem-6616	103	11	z.	z.	PROPN
fbem-6616	103	12	shen	shen	PROPN
fbem-6616	103	13	,	,	PUNCT
fbem-6616	103	14	"	"	PUNCT
fbem-6616	103	15	relationship	relationship	NOUN
fbem-6616	103	16	between	between	ADP
fbem-6616	103	17	racial	racial	ADJ
fbem-6616	103	18	bias	bias	NOUN
fbem-6616	103	19	exposure	exposure	NOUN
fbem-6616	103	20	,	,	PUNCT
fbem-6616	103	21	financial	financial	ADJ
fbem-6616	103	22	literacy	literacy	NOUN
fbem-6616	103	23	,	,	PUNCT
fbem-6616	103	24	and	and	CCONJ
fbem-6616	103	25	entrepreneurial	entrepreneurial	ADJ
fbem-6616	103	26	intention	intention	NOUN
fbem-6616	103	27	:	:	PUNCT
fbem-6616	103	28	an	an	DET
fbem-6616	103	29	empirical	empirical	ADJ
fbem-6616	103	30	investigation	investigation	NOUN
fbem-6616	103	31	,	,	PUNCT
fbem-6616	103	32	"	"	PUNCT
fbem-6616	103	33	journal	journal	NOUN
fbem-6616	103	34	of	of	ADP
fbem-6616	103	35	artificial	artificial	ADJ
fbem-6616	103	36	intelligence	intelligence	NOUN
fbem-6616	103	37	and	and	CCONJ
fbem-6616	103	38	machine	machine	NOUN
fbem-6616	103	39	learning	learning	NOUN
fbem-6616	103	40	in	in	ADP
fbem-6616	103	41	management	management	NOUN
fbem-6616	103	42	,	,	PUNCT
fbem-6616	103	43	vol	vol	NOUN
fbem-6616	103	44	.	.	PROPN
fbem-6616	103	45	4	4	NUM
fbem-6616	103	46	,	,	PUNCT
fbem-6616	103	47	no	no	INTJ
fbem-6616	103	48	.	.	NOUN
fbem-6616	103	49	1	1	NUM
fbem-6616	103	50	,	,	PUNCT
fbem-6616	103	51	pp	pp	ADJ
fbem-6616	103	52	.	.	PUNCT
fbem-6616	104	1	42	42	NUM
fbem-6616	104	2	-	-	SYM
fbem-6616	104	3	55	55	NUM
fbem-6616	104	4	,	,	PUNCT
fbem-6616	104	5	2020	2020	NUM
fbem-6616	104	6	.	.	PUNCT