id	sid	tid	token	lemma	pos
fcis-6027	1	1	frontiers	frontier	NOUN
fcis-6027	1	2	in	in	ADP
fcis-6027	1	3	computing	computing	NOUN
fcis-6027	1	4	and	and	CCONJ
fcis-6027	1	5	intelligent	intelligent	ADJ
fcis-6027	1	6	systems	system	NOUN
fcis-6027	1	7	issn	issn	VERB
fcis-6027	1	8	:	:	PUNCT
fcis-6027	1	9	2832	2832	NUM
fcis-6027	1	10	-	-	SYM
fcis-6027	1	11	6024	6024	NUM
fcis-6027	1	12	|	|	NOUN
fcis-6027	1	13	vol	vol	NOUN
fcis-6027	1	14	.	.	PROPN
fcis-6027	2	1	3	3	NUM
fcis-6027	2	2	,	,	PUNCT
fcis-6027	2	3	no	no	INTJ
fcis-6027	2	4	.	.	NOUN
fcis-6027	2	5	1	1	NUM
fcis-6027	2	6	,	,	PUNCT
fcis-6027	2	7	2023	2023	NUM
fcis-6027	2	8	72	72	NUM
fcis-6027	2	9	research	research	NOUN
fcis-6027	2	10	on	on	ADP
fcis-6027	2	11	csi	csi	PROPN
fcis-6027	2	12	300	300	NUM
fcis-6027	2	13	stock	stock	NOUN
fcis-6027	2	14	index	index	NOUN
fcis-6027	2	15	price	price	NOUN
fcis-6027	2	16	prediction	prediction	NOUN
fcis-6027	2	17	based	base	VERB
fcis-6027	2	18	on	on	ADP
fcis-6027	2	19	emd	emd	PROPN
fcis-6027	2	20	-	-	PUNCT
fcis-6027	2	21	xgboost	xgboost	PROPN
fcis-6027	2	22	yu	yu	PROPN
fcis-6027	2	23	wang	wang	PROPN
fcis-6027	2	24	,	,	PUNCT
fcis-6027	2	25	li	li	PROPN
fcis-6027	2	26	guo	guo	PROPN
fcis-6027	2	27	,	,	PUNCT
fcis-6027	2	28	yanrui	yanrui	PROPN
fcis-6027	2	29	zhang	zhang	PROPN
fcis-6027	2	30	,	,	PUNCT
fcis-6027	2	31	xinyue	xinyue	PROPN
fcis-6027	2	32	ma	ma	PROPN
fcis-6027	2	33	dalian	dalian	PROPN
fcis-6027	2	34	polytechnic	polytechnic	PROPN
fcis-6027	2	35	university	university	PROPN
fcis-6027	2	36	,	,	PUNCT
fcis-6027	2	37	dalian	dalian	PROPN
fcis-6027	2	38	,	,	PUNCT
fcis-6027	2	39	china	china	PROPN
fcis-6027	2	40	abstract	abstract	PROPN
fcis-6027	2	41	:	:	PUNCT
fcis-6027	2	42	the	the	DET
fcis-6027	2	43	combination	combination	NOUN
fcis-6027	2	44	of	of	ADP
fcis-6027	2	45	artificial	artificial	ADJ
fcis-6027	2	46	intelligence	intelligence	NOUN
fcis-6027	2	47	techniques	technique	NOUN
fcis-6027	2	48	and	and	CCONJ
fcis-6027	2	49	quantitative	quantitative	ADJ
fcis-6027	2	50	investment	investment	NOUN
fcis-6027	2	51	has	have	AUX
fcis-6027	2	52	given	give	VERB
fcis-6027	2	53	birth	birth	NOUN
fcis-6027	2	54	to	to	ADP
fcis-6027	2	55	various	various	ADJ
fcis-6027	2	56	types	type	NOUN
fcis-6027	2	57	of	of	ADP
fcis-6027	2	58	price	price	NOUN
fcis-6027	2	59	prediction	prediction	NOUN
fcis-6027	2	60	models	model	NOUN
fcis-6027	2	61	based	base	VERB
fcis-6027	2	62	on	on	ADP
fcis-6027	2	63	machine	machine	NOUN
fcis-6027	2	64	learning	learning	NOUN
fcis-6027	2	65	algorithms	algorithm	NOUN
fcis-6027	2	66	.	.	PUNCT
fcis-6027	3	1	in	in	ADP
fcis-6027	3	2	this	this	DET
fcis-6027	3	3	study	study	NOUN
fcis-6027	3	4	,	,	PUNCT
fcis-6027	3	5	we	we	PRON
fcis-6027	3	6	verify	verify	VERB
fcis-6027	3	7	the	the	DET
fcis-6027	3	8	applicability	applicability	NOUN
fcis-6027	3	9	of	of	ADP
fcis-6027	3	10	machine	machine	NOUN
fcis-6027	3	11	learning	learning	NOUN
fcis-6027	3	12	fused	fuse	VERB
fcis-6027	3	13	with	with	ADP
fcis-6027	3	14	statistical	statistical	ADJ
fcis-6027	3	15	method	method	NOUN
fcis-6027	3	16	models	model	NOUN
fcis-6027	3	17	through	through	ADP
fcis-6027	3	18	the	the	DET
fcis-6027	3	19	emd	emd	PROPN
fcis-6027	3	20	-	-	PUNCT
fcis-6027	3	21	xgboost	xgboost	PROPN
fcis-6027	3	22	model	model	NOUN
fcis-6027	3	23	for	for	ADP
fcis-6027	3	24	stock	stock	NOUN
fcis-6027	3	25	price	price	NOUN
fcis-6027	3	26	prediction	prediction	NOUN
fcis-6027	3	27	.	.	PUNCT
fcis-6027	4	1	in	in	ADP
fcis-6027	4	2	the	the	DET
fcis-6027	4	3	modeling	modeling	NOUN
fcis-6027	4	4	process	process	NOUN
fcis-6027	4	5	,	,	PUNCT
fcis-6027	4	6	specific	specific	ADJ
fcis-6027	4	7	solutions	solution	NOUN
fcis-6027	4	8	are	be	AUX
fcis-6027	4	9	proposed	propose	VERB
fcis-6027	4	10	for	for	ADP
fcis-6027	4	11	overfitting	overfitte	VERB
fcis-6027	4	12	problems	problem	NOUN
fcis-6027	4	13	that	that	PRON
fcis-6027	4	14	arise	arise	VERB
fcis-6027	4	15	.	.	PUNCT
fcis-6027	5	1	the	the	DET
fcis-6027	5	2	stock	stock	NOUN
fcis-6027	5	3	prediction	prediction	NOUN
fcis-6027	5	4	model	model	NOUN
fcis-6027	5	5	of	of	ADP
fcis-6027	5	6	machine	machine	NOUN
fcis-6027	5	7	learning	learning	NOUN
fcis-6027	5	8	fused	fuse	VERB
fcis-6027	5	9	with	with	ADP
fcis-6027	5	10	statistical	statistical	ADJ
fcis-6027	5	11	learning	learning	NOUN
fcis-6027	5	12	was	be	AUX
fcis-6027	5	13	constructed	construct	VERB
fcis-6027	5	14	from	from	ADP
fcis-6027	5	15	an	an	DET
fcis-6027	5	16	empirical	empirical	ADJ
fcis-6027	5	17	perspective	perspective	NOUN
fcis-6027	5	18	,	,	PUNCT
fcis-6027	5	19	and	and	CCONJ
fcis-6027	5	20	an	an	DET
fcis-6027	5	21	xgboost	xgboost	ADJ
fcis-6027	5	22	algorithm	algorithm	PROPN
fcis-6027	5	23	model	model	NOUN
fcis-6027	5	24	based	base	VERB
fcis-6027	5	25	on	on	ADP
fcis-6027	5	26	empirical	empirical	ADJ
fcis-6027	5	27	modal	modal	ADJ
fcis-6027	5	28	decomposition	decomposition	NOUN
fcis-6027	5	29	was	be	AUX
fcis-6027	5	30	proposed	propose	VERB
fcis-6027	5	31	.	.	PUNCT
fcis-6027	6	1	the	the	DET
fcis-6027	6	2	data	datum	NOUN
fcis-6027	6	3	set	set	VERB
fcis-6027	6	4	selected	select	VERB
fcis-6027	6	5	for	for	ADP
fcis-6027	6	6	the	the	DET
fcis-6027	6	7	experiment	experiment	NOUN
fcis-6027	6	8	was	be	AUX
fcis-6027	6	9	the	the	DET
fcis-6027	6	10	closing	closing	NOUN
fcis-6027	6	11	price	price	NOUN
fcis-6027	6	12	of	of	ADP
fcis-6027	6	13	the	the	DET
fcis-6027	6	14	csi	csi	ADJ
fcis-6027	6	15	300	300	NUM
fcis-6027	6	16	index	index	NOUN
fcis-6027	6	17	,	,	PUNCT
fcis-6027	6	18	and	and	CCONJ
fcis-6027	6	19	the	the	DET
fcis-6027	6	20	model	model	NOUN
fcis-6027	6	21	was	be	AUX
fcis-6027	6	22	judged	judge	VERB
fcis-6027	6	23	by	by	ADP
fcis-6027	6	24	four	four	NUM
fcis-6027	6	25	indicators	indicator	NOUN
fcis-6027	6	26	:	:	PUNCT
fcis-6027	6	27	mean	mean	VERB
fcis-6027	6	28	absolute	absolute	ADJ
fcis-6027	6	29	error	error	NOUN
fcis-6027	6	30	,	,	PUNCT
fcis-6027	6	31	mean	mean	ADJ
fcis-6027	6	32	error	error	NOUN
fcis-6027	6	33	,	,	PUNCT
fcis-6027	6	34	and	and	CCONJ
fcis-6027	6	35	root	root	NOUN
fcis-6027	6	36	mean	mean	NOUN
fcis-6027	6	37	square	square	NOUN
fcis-6027	6	38	error	error	NOUN
fcis-6027	6	39	,	,	PUNCT
fcis-6027	6	40	etc	etc	X
fcis-6027	6	41	.	.	X
fcis-6027	7	1	the	the	DET
fcis-6027	7	2	method	method	NOUN
fcis-6027	7	3	used	use	VERB
fcis-6027	7	4	for	for	ADP
fcis-6027	7	5	the	the	DET
fcis-6027	7	6	experiment	experiment	NOUN
fcis-6027	7	7	was	be	AUX
fcis-6027	7	8	the	the	DET
fcis-6027	7	9	emd	emd	PROPN
fcis-6027	7	10	-	-	PUNCT
fcis-6027	7	11	xgboost	xgboost	PROPN
fcis-6027	7	12	network	network	NOUN
fcis-6027	7	13	model	model	NOUN
fcis-6027	7	14	,	,	PUNCT
fcis-6027	7	15	which	which	PRON
fcis-6027	7	16	had	have	VERB
fcis-6027	7	17	the	the	DET
fcis-6027	7	18	following	following	ADJ
fcis-6027	7	19	advantages	advantage	NOUN
fcis-6027	7	20	:	:	PUNCT
fcis-6027	7	21	first	first	ADV
fcis-6027	7	22	,	,	PUNCT
fcis-6027	7	23	combining	combine	VERB
fcis-6027	7	24	the	the	DET
fcis-6027	7	25	empirical	empirical	ADJ
fcis-6027	7	26	modal	modal	ADJ
fcis-6027	7	27	decomposition	decomposition	NOUN
fcis-6027	7	28	method	method	NOUN
fcis-6027	7	29	with	with	ADP
fcis-6027	7	30	the	the	DET
fcis-6027	7	31	xgboost	xgboost	PROPN
fcis-6027	7	32	model	model	NOUN
fcis-6027	7	33	is	be	AUX
fcis-6027	7	34	conducive	conducive	ADJ
fcis-6027	7	35	to	to	ADP
fcis-6027	7	36	mining	mine	VERB
fcis-6027	7	37	the	the	DET
fcis-6027	7	38	time	time	NOUN
fcis-6027	7	39	series	series	PROPN
fcis-6027	7	40	data	data	PROPN
fcis-6027	7	41	for	for	ADP
fcis-6027	7	42	second	second	ADJ
fcis-6027	7	43	,	,	PUNCT
fcis-6027	7	44	the	the	DET
fcis-6027	7	45	decomposition	decomposition	NOUN
fcis-6027	7	46	of	of	ADP
fcis-6027	7	47	the	the	DET
fcis-6027	7	48	csi	csi	ADJ
fcis-6027	7	49	300	300	NUM
fcis-6027	7	50	index	index	NOUN
fcis-6027	7	51	data	datum	NOUN
fcis-6027	7	52	by	by	ADP
fcis-6027	7	53	the	the	DET
fcis-6027	7	54	empirical	empirical	ADJ
fcis-6027	7	55	modal	modal	ADJ
fcis-6027	7	56	decomposition	decomposition	NOUN
fcis-6027	7	57	method	method	NOUN
fcis-6027	7	58	is	be	AUX
fcis-6027	7	59	helpful	helpful	ADJ
fcis-6027	7	60	to	to	PART
fcis-6027	7	61	improve	improve	VERB
fcis-6027	7	62	the	the	DET
fcis-6027	7	63	accuracy	accuracy	NOUN
fcis-6027	7	64	of	of	ADP
fcis-6027	7	65	the	the	DET
fcis-6027	7	66	xgboost	xgboost	PROPN
fcis-6027	7	67	model	model	NOUN
fcis-6027	7	68	for	for	ADP
fcis-6027	7	69	time	time	NOUN
fcis-6027	7	70	series	series	PROPN
fcis-6027	7	71	data	data	PROPN
fcis-6027	7	72	prediction	prediction	NOUN
fcis-6027	7	73	.	.	PUNCT
fcis-6027	8	1	the	the	DET
fcis-6027	8	2	experiments	experiment	NOUN
fcis-6027	8	3	show	show	VERB
fcis-6027	8	4	that	that	SCONJ
fcis-6027	8	5	the	the	DET
fcis-6027	8	6	emd	emd	PROPN
fcis-6027	8	7	-	-	PUNCT
fcis-6027	8	8	xgboost	xgboost	PROPN
fcis-6027	8	9	model	model	NOUN
fcis-6027	8	10	outperforms	outperform	VERB
fcis-6027	8	11	the	the	DET
fcis-6027	8	12	single	single	ADJ
fcis-6027	8	13	arima	arima	NOUN
fcis-6027	8	14	or	or	CCONJ
fcis-6027	8	15	lstm	lstm	NOUN
fcis-6027	8	16	network	network	NOUN
fcis-6027	8	17	model	model	NOUN
fcis-6027	8	18	as	as	ADV
fcis-6027	8	19	well	well	ADV
fcis-6027	8	20	as	as	ADP
fcis-6027	8	21	the	the	DET
fcis-6027	8	22	emd	emd	PROPN
fcis-6027	8	23	-	-	PUNCT
fcis-6027	8	24	lstm	lstm	PROPN
fcis-6027	8	25	network	network	NOUN
fcis-6027	8	26	model	model	NOUN
fcis-6027	8	27	in	in	ADP
fcis-6027	8	28	terms	term	NOUN
fcis-6027	8	29	of	of	ADP
fcis-6027	8	30	mean	mean	ADJ
fcis-6027	8	31	absolute	absolute	ADJ
fcis-6027	8	32	error	error	NOUN
fcis-6027	8	33	,	,	PUNCT
fcis-6027	8	34	mean	mean	ADJ
fcis-6027	8	35	error	error	NOUN
fcis-6027	8	36	,	,	PUNCT
fcis-6027	8	37	and	and	CCONJ
fcis-6027	8	38	root	root	NOUN
fcis-6027	8	39	mean	mean	ADJ
fcis-6027	8	40	square	square	NOUN
fcis-6027	8	41	error	error	NOUN
fcis-6027	8	42	.	.	PUNCT
fcis-6027	9	1	keywords	keyword	NOUN
fcis-6027	9	2	:	:	PUNCT
fcis-6027	9	3	xgboost	xgboost	PROPN
fcis-6027	9	4	algorithm	algorithm	PROPN
fcis-6027	9	5	;	;	PUNCT
fcis-6027	9	6	emd	emd	PROPN
fcis-6027	9	7	-	-	PUNCT
fcis-6027	9	8	xgboost	xgboost	PROPN
fcis-6027	9	9	model	model	NOUN
fcis-6027	9	10	;	;	PUNCT
fcis-6027	9	11	lstm	lstm	ADJ
fcis-6027	9	12	;	;	PUNCT
fcis-6027	9	13	empirical	empirical	ADJ
fcis-6027	9	14	modal	modal	ADJ
fcis-6027	9	15	decomposition	decomposition	NOUN
fcis-6027	9	16	.	.	PUNCT
fcis-6027	10	1	1	1	X
fcis-6027	10	2	.	.	X
fcis-6027	10	3	introduction	introduction	NOUN
fcis-6027	10	4	in	in	ADP
fcis-6027	10	5	the	the	DET
fcis-6027	10	6	financial	financial	ADJ
fcis-6027	10	7	field	field	NOUN
fcis-6027	10	8	,	,	PUNCT
fcis-6027	10	9	stock	stock	NOUN
fcis-6027	10	10	price	price	NOUN
fcis-6027	10	11	prediction	prediction	NOUN
fcis-6027	10	12	has	have	AUX
fcis-6027	10	13	always	always	ADV
fcis-6027	10	14	been	be	AUX
fcis-6027	10	15	a	a	DET
fcis-6027	10	16	high	high	ADJ
fcis-6027	10	17	concern	concern	NOUN
fcis-6027	10	18	for	for	ADP
fcis-6027	10	19	investors	investor	NOUN
fcis-6027	10	20	or	or	CCONJ
fcis-6027	10	21	institutional	institutional	ADJ
fcis-6027	10	22	companies	company	NOUN
fcis-6027	10	23	,	,	PUNCT
fcis-6027	10	24	but	but	CCONJ
fcis-6027	10	25	due	due	ADP
fcis-6027	10	26	to	to	ADP
fcis-6027	10	27	the	the	DET
fcis-6027	10	28	dynamic	dynamic	ADJ
fcis-6027	10	29	and	and	CCONJ
fcis-6027	10	30	nonlinear	nonlinear	ADJ
fcis-6027	10	31	characteristics	characteristic	NOUN
fcis-6027	10	32	of	of	ADP
fcis-6027	10	33	stock	stock	NOUN
fcis-6027	10	34	price	price	NOUN
fcis-6027	10	35	time	time	NOUN
fcis-6027	10	36	-	-	PUNCT
fcis-6027	10	37	series	series	NOUN
fcis-6027	10	38	data	datum	NOUN
fcis-6027	10	39	,	,	PUNCT
fcis-6027	10	40	how	how	SCONJ
fcis-6027	10	41	to	to	PART
fcis-6027	10	42	accurately	accurately	ADV
fcis-6027	10	43	predict	predict	VERB
fcis-6027	10	44	stock	stock	NOUN
fcis-6027	10	45	prices	price	NOUN
fcis-6027	10	46	is	be	AUX
fcis-6027	10	47	still	still	ADV
fcis-6027	10	48	a	a	DET
fcis-6027	10	49	relatively	relatively	ADV
fcis-6027	10	50	challenging	challenging	ADJ
fcis-6027	10	51	task	task	NOUN
fcis-6027	10	52	.	.	PUNCT
fcis-6027	11	1	compared	compare	VERB
fcis-6027	11	2	with	with	ADP
fcis-6027	11	3	traditional	traditional	ADJ
fcis-6027	11	4	mathematical	mathematical	ADJ
fcis-6027	11	5	models	model	NOUN
fcis-6027	11	6	,	,	PUNCT
fcis-6027	11	7	deep	deep	ADJ
fcis-6027	11	8	neural	neural	ADJ
fcis-6027	11	9	networks	network	NOUN
fcis-6027	11	10	can	can	AUX
fcis-6027	11	11	represent	represent	VERB
fcis-6027	11	12	the	the	DET
fcis-6027	11	13	actual	actual	ADJ
fcis-6027	11	14	complex	complex	ADJ
fcis-6027	11	15	nonlinear	nonlinear	ADJ
fcis-6027	11	16	problems	problem	NOUN
fcis-6027	11	17	more	more	ADV
fcis-6027	11	18	carefully	carefully	ADV
fcis-6027	11	19	and	and	CCONJ
fcis-6027	11	20	efficiently	efficiently	ADV
fcis-6027	11	21	by	by	ADP
fcis-6027	11	22	pre	pre	VERB
fcis-6027	11	23	-	-	NOUN
fcis-6027	11	24	training	train	VERB
fcis-6027	11	25	the	the	DET
fcis-6027	11	26	data	data	NOUN
fcis-6027	11	27	layer	layer	NOUN
fcis-6027	11	28	by	by	ADP
fcis-6027	11	29	layer	layer	NOUN
fcis-6027	11	30	to	to	PART
fcis-6027	11	31	get	get	VERB
fcis-6027	11	32	the	the	DET
fcis-6027	11	33	primary	primary	ADJ
fcis-6027	11	34	features	feature	NOUN
fcis-6027	11	35	of	of	ADP
fcis-6027	11	36	each	each	DET
fcis-6027	11	37	layer	layer	NOUN
fcis-6027	11	38	;	;	PUNCT
fcis-6027	11	39	recurrent	recurrent	ADJ
fcis-6027	11	40	neural	neural	ADJ
fcis-6027	11	41	networks	network	NOUN
fcis-6027	11	42	introduce	introduce	VERB
fcis-6027	11	43	the	the	DET
fcis-6027	11	44	concept	concept	NOUN
fcis-6027	11	45	of	of	ADP
fcis-6027	11	46	time	time	NOUN
fcis-6027	11	47	series	series	NOUN
fcis-6027	11	48	in	in	ADP
fcis-6027	11	49	the	the	DET
fcis-6027	11	50	network	network	NOUN
fcis-6027	11	51	structure	structure	NOUN
fcis-6027	11	52	,	,	PUNCT
fcis-6027	11	53	which	which	PRON
fcis-6027	11	54	makes	make	VERB
fcis-6027	11	55	them	they	PRON
fcis-6027	11	56	excellent	excellent	ADJ
fcis-6027	11	57	in	in	ADP
fcis-6027	11	58	the	the	DET
fcis-6027	11	59	processing	processing	NOUN
fcis-6027	11	60	of	of	ADP
fcis-6027	11	61	time	time	NOUN
fcis-6027	11	62	series	series	PROPN
fcis-6027	11	63	data	data	PROPN
fcis-6027	11	64	;	;	PUNCT
fcis-6027	11	65	however	however	ADV
fcis-6027	11	66	,	,	PUNCT
fcis-6027	11	67	due	due	ADP
fcis-6027	11	68	to	to	ADP
fcis-6027	11	69	the	the	DET
fcis-6027	11	70	problem	problem	NOUN
fcis-6027	11	71	of	of	ADP
fcis-6027	11	72	long	long	ADJ
fcis-6027	11	73	-	-	PUNCT
fcis-6027	11	74	time	time	NOUN
fcis-6027	11	75	dependence	dependence	NOUN
fcis-6027	11	76	,	,	PUNCT
fcis-6027	11	77	hochreiter	hochreiter	PROPN
fcis-6027	11	78	and	and	CCONJ
fcis-6027	11	79	schmidhuber	schmidhuber	NOUN
fcis-6027	11	80	have	have	AUX
fcis-6027	11	81	made	make	VERB
fcis-6027	11	82	rnn	rnn	NOUN
fcis-6027	11	83	network	network	NOUN
fcis-6027	11	84	unit	unit	NOUN
fcis-6027	11	85	for	for	ADP
fcis-6027	11	86	structural	structural	ADJ
fcis-6027	11	87	improvement	improvement	NOUN
fcis-6027	11	88	,	,	PUNCT
fcis-6027	11	89	and	and	CCONJ
fcis-6027	11	90	then	then	ADV
fcis-6027	11	91	proposed	propose	VERB
fcis-6027	11	92	a	a	DET
fcis-6027	11	93	long	long	ADJ
fcis-6027	11	94	and	and	CCONJ
fcis-6027	11	95	short	short	ADJ
fcis-6027	11	96	-	-	PUNCT
fcis-6027	11	97	term	term	NOUN
fcis-6027	11	98	memory	memory	NOUN
fcis-6027	11	99	model	model	NOUN
fcis-6027	11	100	,	,	PUNCT
fcis-6027	11	101	adding	add	VERB
fcis-6027	11	102	a	a	DET
fcis-6027	11	103	gate	gate	PROPN
fcis-6027	11	104	control	control	PROPN
fcis-6027	11	105	unit	unit	NOUN
fcis-6027	11	106	to	to	PART
fcis-6027	11	107	solve	solve	VERB
fcis-6027	11	108	the	the	DET
fcis-6027	11	109	problems	problem	NOUN
fcis-6027	11	110	of	of	ADP
fcis-6027	11	111	gradient	gradient	ADJ
fcis-6027	11	112	disappearance	disappearance	NOUN
fcis-6027	11	113	and	and	CCONJ
fcis-6027	11	114	lack	lack	NOUN
fcis-6027	11	115	of	of	ADP
fcis-6027	11	116	long	long	ADJ
fcis-6027	11	117	-	-	PUNCT
fcis-6027	11	118	term	term	NOUN
fcis-6027	11	119	data	datum	NOUN
fcis-6027	11	120	memory	memory	NOUN
fcis-6027	11	121	capability	capability	NOUN
fcis-6027	11	122	,	,	PUNCT
fcis-6027	11	123	making	make	VERB
fcis-6027	11	124	the	the	DET
fcis-6027	11	125	neural	neural	ADJ
fcis-6027	11	126	network	network	NOUN
fcis-6027	11	127	can	can	AUX
fcis-6027	11	128	really	really	ADV
fcis-6027	11	129	deal	deal	VERB
fcis-6027	11	130	with	with	ADP
fcis-6027	11	131	long	long	ADJ
fcis-6027	11	132	-	-	PUNCT
fcis-6027	11	133	distance	distance	NOUN
fcis-6027	11	134	temporal	temporal	ADJ
fcis-6027	11	135	information	information	NOUN
fcis-6027	11	136	effectively[4	effectively[4	NOUN
fcis-6027	11	137	]	]	PUNCT
fcis-6027	11	138	.	.	PUNCT
fcis-6027	12	1	xgboost	xgboost	PROPN
fcis-6027	12	2	is	be	AUX
fcis-6027	12	3	an	an	DET
fcis-6027	12	4	improved	improved	ADJ
fcis-6027	12	5	algorithm	algorithm	NOUN
fcis-6027	12	6	proposed	propose	VERB
fcis-6027	12	7	by	by	ADP
fcis-6027	12	8	dr	dr	PROPN
fcis-6027	12	9	.	.	PROPN
fcis-6027	12	10	tianqi	tianqi	PROPN
fcis-6027	12	11	chen	chen	PROPN
fcis-6027	12	12	based	base	VERB
fcis-6027	12	13	on	on	ADP
fcis-6027	12	14	the	the	DET
fcis-6027	12	15	gradient	gradient	NOUN
fcis-6027	12	16	boosting	boost	VERB
fcis-6027	12	17	decision	decision	NOUN
fcis-6027	12	18	tree	tree	NOUN
fcis-6027	12	19	algorithm.xgboost	algorithm.xgboost	PRON
fcis-6027	12	20	uses	use	VERB
fcis-6027	12	21	parallelization	parallelization	NOUN
fcis-6027	12	22	to	to	PART
fcis-6027	12	23	improve	improve	VERB
fcis-6027	12	24	its	its	PRON
fcis-6027	12	25	operation	operation	NOUN
fcis-6027	12	26	speed	speed	NOUN
fcis-6027	12	27	,	,	PUNCT
fcis-6027	12	28	and	and	CCONJ
fcis-6027	12	29	introduces	introduce	VERB
fcis-6027	12	30	the	the	DET
fcis-6027	12	31	second	second	ADJ
fcis-6027	12	32	-	-	PUNCT
fcis-6027	12	33	order	order	NOUN
fcis-6027	12	34	bias	bias	NOUN
fcis-6027	12	35	of	of	ADP
fcis-6027	12	36	the	the	DET
fcis-6027	12	37	loss	loss	NOUN
fcis-6027	12	38	function	function	NOUN
fcis-6027	12	39	for	for	ADP
fcis-6027	12	40	more	more	ADJ
fcis-6027	12	41	general	general	ADJ
fcis-6027	12	42	prediction	prediction	NOUN
fcis-6027	12	43	effect[5	effect[5	NOUN
fcis-6027	12	44	]	]	PUNCT
fcis-6027	12	45	.	.	PUNCT
fcis-6027	13	1	by	by	ADP
fcis-6027	13	2	combining	combine	VERB
fcis-6027	13	3	the	the	DET
fcis-6027	13	4	ensemble	ensemble	ADJ
fcis-6027	13	5	empirical	empirical	ADJ
fcis-6027	13	6	modal	modal	ADJ
fcis-6027	13	7	decomposition	decomposition	NOUN
fcis-6027	13	8	(	(	PUNCT
fcis-6027	13	9	eemd	eemd	PROPN
fcis-6027	13	10	)	)	PUNCT
fcis-6027	13	11	with	with	ADP
fcis-6027	13	12	the	the	DET
fcis-6027	13	13	xgboost	xgboost	PROPN
fcis-6027	13	14	algorithm	algorithm	PROPN
fcis-6027	13	15	,	,	PUNCT
fcis-6027	13	16	yi	yi	PROPN
fcis-6027	13	17	jing	jing	PROPN
fcis-6027	13	18	constructed	construct	VERB
fcis-6027	13	19	a	a	DET
fcis-6027	13	20	combined	combine	VERB
fcis-6027	13	21	eemd	eemd	PROPN
fcis-6027	13	22	-	-	PUNCT
fcis-6027	13	23	xgboost	xgboost	PROPN
fcis-6027	13	24	model	model	NOUN
fcis-6027	13	25	and	and	CCONJ
fcis-6027	13	26	used	use	VERB
fcis-6027	13	27	the	the	DET
fcis-6027	13	28	model	model	NOUN
fcis-6027	13	29	to	to	PART
fcis-6027	13	30	predict	predict	VERB
fcis-6027	13	31	the	the	DET
fcis-6027	13	32	daily	daily	ADJ
fcis-6027	13	33	closing	closing	NOUN
fcis-6027	13	34	price	price	NOUN
fcis-6027	13	35	of	of	ADP
fcis-6027	13	36	the	the	DET
fcis-6027	13	37	szse	szse	NOUN
fcis-6027	13	38	composite	composite	ADJ
fcis-6027	13	39	index	index	NOUN
fcis-6027	13	40	,	,	PUNCT
fcis-6027	13	41	and	and	CCONJ
fcis-6027	13	42	analyzed	analyze	VERB
fcis-6027	13	43	and	and	CCONJ
fcis-6027	13	44	optimized	optimize	VERB
fcis-6027	13	45	the	the	DET
fcis-6027	13	46	model[6	model[6	NOUN
fcis-6027	13	47	]	]	PUNCT
fcis-6027	13	48	.	.	PUNCT
fcis-6027	14	1	jiawei	jiawei	PROPN
fcis-6027	14	2	gu	gu	PROPN
fcis-6027	14	3	proposed	propose	VERB
fcis-6027	14	4	a	a	DET
fcis-6027	14	5	combined	combine	VERB
fcis-6027	14	6	stock	stock	NOUN
fcis-6027	14	7	price	price	NOUN
fcis-6027	14	8	prediction	prediction	NOUN
fcis-6027	14	9	model	model	NOUN
fcis-6027	14	10	of	of	ADP
fcis-6027	14	11	xgboost	xgboost	PROPN
fcis-6027	14	12	-	-	PUNCT
fcis-6027	14	13	esn	esn	PROPN
fcis-6027	14	14	and	and	CCONJ
fcis-6027	14	15	optimized	optimize	VERB
fcis-6027	14	16	the	the	DET
fcis-6027	14	17	parameters	parameter	NOUN
fcis-6027	14	18	of	of	ADP
fcis-6027	14	19	xgboost	xgboost	PROPN
fcis-6027	14	20	model	model	PROPN
fcis-6027	14	21	and	and	CCONJ
fcis-6027	14	22	echo	echo	VERB
fcis-6027	14	23	state	state	NOUN
fcis-6027	14	24	network	network	NOUN
fcis-6027	14	25	model	model	NOUN
fcis-6027	14	26	(	(	PUNCT
fcis-6027	14	27	esn	esn	PROPN
fcis-6027	14	28	)	)	PUNCT
fcis-6027	14	29	using	use	VERB
fcis-6027	14	30	lattice	lattice	NOUN
fcis-6027	14	31	search	search	NOUN
fcis-6027	14	32	method[7	method[7	PROPN
fcis-6027	14	33	]	]	PUNCT
fcis-6027	14	34	.	.	PUNCT
fcis-6027	15	1	2	2	X
fcis-6027	15	2	.	.	X
fcis-6027	15	3	model	model	NOUN
fcis-6027	15	4	theoretical	theoretical	ADJ
fcis-6027	15	5	basis	basis	NOUN
fcis-6027	15	6	2.1	2.1	NUM
fcis-6027	15	7	.	.	PUNCT
fcis-6027	16	1	xgboost	xgboost	ADV
fcis-6027	17	1	2.1.1	2.1.1	NUM
fcis-6027	17	2	.	.	PUNCT
fcis-6027	18	1	sub	sub	NOUN
fcis-6027	18	2	-	-	NOUN
fcis-6027	18	3	section	section	NOUN
fcis-6027	18	4	headings	heading	NOUN
fcis-6027	18	5	the	the	DET
fcis-6027	18	6	xgboost	xgboost	PROPN
fcis-6027	18	7	model	model	PROPN
fcis-6027	18	8	uses	use	VERB
fcis-6027	18	9	the	the	DET
fcis-6027	18	10	greedy	greedy	ADJ
fcis-6027	18	11	algorithm	algorithm	NOUN
fcis-6027	18	12	and	and	CCONJ
fcis-6027	18	13	quadratic	quadratic	ADJ
fcis-6027	18	14	optimization	optimization	NOUN
fcis-6027	18	15	to	to	PART
fcis-6027	18	16	ensure	ensure	VERB
fcis-6027	18	17	that	that	SCONJ
fcis-6027	18	18	the	the	DET
fcis-6027	18	19	predicted	predict	VERB
fcis-6027	18	20	value	value	NOUN
fcis-6027	18	21	of	of	ADP
fcis-6027	18	22	each	each	DET
fcis-6027	18	23	leaf	leaf	NOUN
fcis-6027	18	24	node	node	NOUN
fcis-6027	18	25	of	of	ADP
fcis-6027	18	26	the	the	DET
fcis-6027	18	27	decision	decision	NOUN
fcis-6027	18	28	tree	tree	NOUN
fcis-6027	18	29	is	be	AUX
fcis-6027	18	30	the	the	DET
fcis-6027	18	31	optimal	optimal	ADJ
fcis-6027	18	32	solution	solution	NOUN
fcis-6027	18	33	by	by	ADP
fcis-6027	18	34	building	build	VERB
fcis-6027	18	35	k	k	PROPN
fcis-6027	18	36	regression	regression	NOUN
fcis-6027	18	37	trees	tree	NOUN
fcis-6027	18	38	,	,	PUNCT
fcis-6027	18	39	using	use	VERB
fcis-6027	18	40	cross	cross	NOUN
fcis-6027	18	41	-	-	NOUN
fcis-6027	18	42	validation	validation	NOUN
fcis-6027	18	43	to	to	PART
fcis-6027	18	44	select	select	VERB
fcis-6027	18	45	the	the	DET
fcis-6027	18	46	best	good	ADJ
fcis-6027	18	47	parameters	parameter	NOUN
fcis-6027	18	48	,	,	PUNCT
fcis-6027	18	49	and	and	CCONJ
fcis-6027	18	50	adding	add	VERB
fcis-6027	18	51	regularization	regularization	NOUN
fcis-6027	18	52	to	to	PART
fcis-6027	18	53	prevent	prevent	VERB
fcis-6027	18	54	overfitting	overfitting	NOUN
fcis-6027	18	55	;	;	PUNCT
fcis-6027	18	56	it	it	PRON
fcis-6027	18	57	has	have	VERB
fcis-6027	18	58	the	the	DET
fcis-6027	18	59	advantages	advantage	NOUN
fcis-6027	18	60	of	of	ADP
fcis-6027	18	61	high	high	ADJ
fcis-6027	18	62	efficiency	efficiency	NOUN
fcis-6027	18	63	,	,	PUNCT
fcis-6027	18	64	good	good	ADJ
fcis-6027	18	65	results	result	NOUN
fcis-6027	18	66	,	,	PUNCT
fcis-6027	18	67	ability	ability	NOUN
fcis-6027	18	68	to	to	PART
fcis-6027	18	69	handle	handle	VERB
fcis-6027	18	70	large	large	ADJ
fcis-6027	18	71	-	-	PUNCT
fcis-6027	18	72	scale	scale	NOUN
fcis-6027	18	73	data	datum	NOUN
fcis-6027	18	74	,	,	PUNCT
fcis-6027	18	75	and	and	CCONJ
fcis-6027	18	76	support	support	NOUN
fcis-6027	18	77	for	for	ADP
fcis-6027	18	78	custom	custom	NOUN
fcis-6027	18	79	loss	loss	NOUN
fcis-6027	18	80	functions	function	NOUN
fcis-6027	18	81	.	.	PUNCT
fcis-6027	19	1	the	the	DET
fcis-6027	19	2	objective	objective	ADJ
fcis-6027	19	3	function	function	NOUN
fcis-6027	19	4	of	of	ADP
fcis-6027	19	5	xgboost	xgboost	ADV
fcis-6027	19	6	consists	consist	VERB
fcis-6027	19	7	of	of	ADP
fcis-6027	19	8	two	two	NUM
fcis-6027	19	9	parts	part	NOUN
fcis-6027	19	10	:	:	PUNCT
fcis-6027	19	11	the	the	DET
fcis-6027	19	12	loss	loss	NOUN
fcis-6027	19	13	function	function	NOUN
fcis-6027	19	14	and	and	CCONJ
fcis-6027	19	15	the	the	DET
fcis-6027	19	16	canonical	canonical	ADJ
fcis-6027	19	17	term	term	NOUN
fcis-6027	19	18	.	.	PUNCT
fcis-6027	20	1	the	the	DET
fcis-6027	20	2	loss	loss	NOUN
fcis-6027	20	3	function	function	NOUN
fcis-6027	20	4	is	be	AUX
fcis-6027	20	5	a	a	DET
fcis-6027	20	6	representation	representation	NOUN
fcis-6027	20	7	of	of	ADP
fcis-6027	20	8	how	how	SCONJ
fcis-6027	20	9	well	well	ADV
fcis-6027	20	10	the	the	DET
fcis-6027	20	11	model	model	NOUN
fcis-6027	20	12	fits	fit	VERB
fcis-6027	20	13	the	the	DET
fcis-6027	20	14	data	datum	NOUN
fcis-6027	20	15	.	.	PUNCT
fcis-6027	21	1	usually	usually	ADV
fcis-6027	21	2	,	,	PUNCT
fcis-6027	21	3	its	its	PRON
fcis-6027	21	4	first	first	ADJ
fcis-6027	21	5	-	-	PUNCT
fcis-6027	21	6	order	order	NOUN
fcis-6027	21	7	derivative	derivative	NOUN
fcis-6027	21	8	is	be	AUX
fcis-6027	21	9	used	use	VERB
fcis-6027	21	10	to	to	PART
fcis-6027	21	11	point	point	VERB
fcis-6027	21	12	out	out	ADP
fcis-6027	21	13	the	the	DET
fcis-6027	21	14	direction	direction	NOUN
fcis-6027	21	15	of	of	ADP
fcis-6027	21	16	gradient	gradient	ADJ
fcis-6027	21	17	decline	decline	NOUN
fcis-6027	21	18	.	.	PUNCT
fcis-6027	22	1	xgboost	xgboost	X
fcis-6027	23	1	also	also	ADV
fcis-6027	23	2	calculates	calculate	VERB
fcis-6027	23	3	its	its	PRON
fcis-6027	23	4	second	second	ADJ
fcis-6027	23	5	-	-	PUNCT
fcis-6027	23	6	order	order	NOUN
fcis-6027	23	7	derivative	derivative	NOUN
fcis-6027	23	8	,	,	PUNCT
fcis-6027	23	9	which	which	PRON
fcis-6027	23	10	further	far	ADV
fcis-6027	23	11	takes	take	VERB
fcis-6027	23	12	into	into	ADP
fcis-6027	23	13	account	account	NOUN
fcis-6027	23	14	the	the	DET
fcis-6027	23	15	trend	trend	NOUN
fcis-6027	23	16	of	of	ADP
fcis-6027	23	17	gradient	gradient	ADJ
fcis-6027	23	18	change	change	NOUN
fcis-6027	23	19	and	and	CCONJ
fcis-6027	23	20	fits	fit	VERB
fcis-6027	23	21	faster	fast	ADV
fcis-6027	23	22	and	and	CCONJ
fcis-6027	23	23	with	with	ADP
fcis-6027	23	24	higher	high	ADJ
fcis-6027	23	25	accuracy	accuracy	NOUN
fcis-6027	23	26	;	;	PUNCT
fcis-6027	23	27	the	the	DET
fcis-6027	23	28	regular	regular	ADJ
fcis-6027	23	29	term	term	NOUN
fcis-6027	23	30	is	be	AUX
fcis-6027	23	31	used	use	VERB
fcis-6027	23	32	to	to	PART
fcis-6027	23	33	control	control	VERB
fcis-6027	23	34	the	the	DET
fcis-6027	23	35	complexity	complexity	NOUN
fcis-6027	23	36	of	of	ADP
fcis-6027	23	37	the	the	DET
fcis-6027	23	38	model	model	NOUN
fcis-6027	23	39	.	.	PUNCT
fcis-6027	24	1	the	the	DET
fcis-6027	24	2	more	more	ADJ
fcis-6027	24	3	leaf	leaf	NOUN
fcis-6027	24	4	nodes	node	NOUN
fcis-6027	24	5	,	,	PUNCT
fcis-6027	24	6	the	the	PRON
fcis-6027	24	7	larger	large	ADJ
fcis-6027	24	8	the	the	DET
fcis-6027	24	9	model	model	NOUN
fcis-6027	24	10	,	,	PUNCT
fcis-6027	24	11	which	which	PRON
fcis-6027	24	12	not	not	PART
fcis-6027	24	13	only	only	ADV
fcis-6027	24	14	takes	take	VERB
fcis-6027	24	15	a	a	DET
fcis-6027	24	16	long	long	ADJ
fcis-6027	24	17	time	time	NOUN
fcis-6027	24	18	to	to	PART
fcis-6027	24	19	operate	operate	VERB
fcis-6027	24	20	,	,	PUNCT
fcis-6027	24	21	but	but	CCONJ
fcis-6027	24	22	also	also	ADV
fcis-6027	24	23	over	over	ADV
fcis-6027	24	24	-	-	PUNCT
fcis-6027	24	25	fits	fit	VERB
fcis-6027	24	26	after	after	ADP
fcis-6027	24	27	exceeding	exceed	VERB
fcis-6027	24	28	a	a	DET
fcis-6027	24	29	certain	certain	ADJ
fcis-6027	24	30	limit	limit	NOUN
fcis-6027	24	31	,	,	PUNCT
fcis-6027	24	32	leading	lead	VERB
fcis-6027	24	33	to	to	ADP
fcis-6027	24	34	the	the	DET
fcis-6027	24	35	degradation	degradation	NOUN
fcis-6027	24	36	of	of	ADP
fcis-6027	24	37	the	the	DET
fcis-6027	24	38	classification	classification	NOUN
fcis-6027	24	39	effect	effect	NOUN
fcis-6027	24	40	.	.	PUNCT
fcis-6027	25	1	the	the	DET
fcis-6027	25	2	regular	regular	ADJ
fcis-6027	25	3	term	term	NOUN
fcis-6027	25	4	of	of	ADP
fcis-6027	25	5	xgboost	xgboost	ADV
fcis-6027	25	6	is	be	AUX
fcis-6027	25	7	a	a	DET
fcis-6027	25	8	penalty	penalty	NOUN
fcis-6027	25	9	mechanism	mechanism	NOUN
fcis-6027	25	10	,	,	PUNCT
fcis-6027	25	11	and	and	CCONJ
fcis-6027	25	12	the	the	PRON
fcis-6027	25	13	more	more	ADV
fcis-6027	25	14	the	the	DET
fcis-6027	25	15	number	number	NOUN
fcis-6027	25	16	of	of	ADP
fcis-6027	25	17	leaf	leaf	NOUN
fcis-6027	25	18	nodes	node	NOUN
fcis-6027	25	19	,	,	PUNCT
fcis-6027	25	20	the	the	PRON
fcis-6027	25	21	stronger	strong	ADJ
fcis-6027	25	22	the	the	DET
fcis-6027	25	23	penalty	penalty	NOUN
fcis-6027	25	24	is	be	AUX
fcis-6027	25	25	,	,	PUNCT
fcis-6027	25	26	thus	thus	ADV
fcis-6027	25	27	limiting	limit	VERB
fcis-6027	25	28	their	their	PRON
fcis-6027	25	29	number	number	NOUN
fcis-6027	25	30	.	.	PUNCT
fcis-6027	26	1	xgboost	xgboost	PROPN
fcis-6027	26	2	belongs	belong	VERB
fcis-6027	26	3	to	to	ADP
fcis-6027	26	4	the	the	DET
fcis-6027	26	5	boost	boost	NOUN
fcis-6027	26	6	integrated	integrate	VERB
fcis-6027	26	7	learning	learning	NOUN
fcis-6027	26	8	method	method	NOUN
fcis-6027	26	9	,	,	PUNCT
fcis-6027	26	10	which	which	PRON
fcis-6027	26	11	applies	apply	VERB
fcis-6027	26	12	serial	serial	ADJ
fcis-6027	26	13	base	base	NOUN
fcis-6027	26	14	learners	learner	NOUN
fcis-6027	26	15	,	,	PUNCT
fcis-6027	26	16	where	where	SCONJ
fcis-6027	26	17	the	the	DET
fcis-6027	26	18	learning	learning	NOUN
fcis-6027	26	19	target	target	NOUN
fcis-6027	26	20	of	of	ADP
fcis-6027	26	21	the	the	DET
fcis-6027	26	22	kth	kth	PROPN
fcis-6027	26	23	learner	learner	NOUN
fcis-6027	26	24	is	be	AUX
fcis-6027	26	25	the	the	DET
fcis-6027	26	26	residual	residual	ADJ
fcis-6027	26	27	of	of	ADP
fcis-6027	26	28	the	the	DET
fcis-6027	26	29	previous	previous	ADJ
fcis-6027	26	30	k-1	k-1	PROPN
fcis-6027	26	31	learners	learner	NOUN
fcis-6027	26	32	and	and	CCONJ
fcis-6027	26	33	the	the	DET
fcis-6027	26	34	target	target	NOUN
fcis-6027	26	35	output	output	NOUN
fcis-6027	26	36	,	,	PUNCT
fcis-6027	26	37	and	and	CCONJ
fcis-6027	26	38	the	the	DET
fcis-6027	26	39	final	final	ADJ
fcis-6027	26	40	learner	learner	NOUN
fcis-6027	26	41	is	be	AUX
fcis-6027	26	42	represented	represent	VERB
fcis-6027	26	43	as	as	SCONJ
fcis-6027	26	44	follows	follow	VERB
fcis-6027	26	45	:	:	PUNCT
fcis-6027	26	46	(	(	PUNCT
fcis-6027	26	47	)	)	PUNCT
fcis-6027	26	48	1	1	NUM
fcis-6027	26	49	(	(	PUNCT
fcis-6027	26	50	)	)	PUNCT
fcis-6027	26	51	,	,	PUNCT
fcis-6027	26	52	1,2	1,2	NUM
fcis-6027	26	53	,	,	PUNCT
fcis-6027	26	54	,	,	PUNCT
fcis-6027	27	1	tk	tk	PROPN
fcis-6027	28	1	k	k	PROPN
fcis-6027	29	1	k	k	PROPN
fcis-6027	30	1	y	y	PROPN
fcis-6027	31	1	f	f	PROPN
fcis-6027	32	1	x	x	X
fcis-6027	33	1	k	k	PROPN
fcis-6027	33	2	t	t	PROPN
fcis-6027	33	3	=	=	PUNCT
fcis-6027	34	1	=	=	PUNCT
fcis-6027	34	2	=	=	NOUN
fcis-6027	34	3			X
fcis-6027	34	4	(	(	PUNCT
fcis-6027	34	5	1	1	X
fcis-6027	34	6	)	)	PUNCT
fcis-6027	34	7	where	where	SCONJ
fcis-6027	34	8	represents	represent	VERB
fcis-6027	34	9	the	the	DET
fcis-6027	34	10	base	base	NOUN
fcis-6027	34	11	regression	regression	NOUN
fcis-6027	34	12	tree	tree	NOUN
fcis-6027	34	13	numbered	number	VERB
fcis-6027	34	14	k.	k.	PROPN
fcis-6027	35	1	thus	thus	ADV
fcis-6027	35	2	,	,	PUNCT
fcis-6027	35	3	73	73	NUM
fcis-6027	35	4	for	for	ADP
fcis-6027	35	5	input	input	NOUN
fcis-6027	35	6	1	1	NUM
fcis-6027	35	7	1	1	NUM
fcis-6027	35	8	2	2	NUM
fcis-6027	35	9	2	2	NUM
fcis-6027	35	10	{	{	PUNCT
fcis-6027	35	11	(	(	PUNCT
fcis-6027	35	12	,	,	PUNCT
fcis-6027	35	13	)	)	PUNCT
fcis-6027	35	14	,	,	PUNCT
fcis-6027	35	15	(	(	PUNCT
fcis-6027	35	16	,	,	PUNCT
fcis-6027	35	17	)	)	PUNCT
fcis-6027	35	18	,	,	PUNCT
fcis-6027	35	19	,	,	PUNCT
fcis-6027	35	20	(	(	PUNCT
fcis-6027	35	21	,	,	PUNCT
fcis-6027	35	22	)	)	PUNCT
fcis-6027	35	23	}	}	PUNCT
fcis-6027	35	24	n	n	CCONJ
fcis-6027	35	25	nx	nx	NOUN
fcis-6027	35	26	y	y	PROPN
fcis-6027	35	27	x	x	PROPN
fcis-6027	35	28	y	y	PROPN
fcis-6027	35	29	x	x	SYM
fcis-6027	35	30	y	y	PROPN
fcis-6027	35	31	,	,	PUNCT
fcis-6027	35	32	the	the	DET
fcis-6027	35	33	objective	objective	ADJ
fcis-6027	35	34	function	function	NOUN
fcis-6027	35	35	we	we	PRON
fcis-6027	35	36	learn	learn	VERB
fcis-6027	35	37	when	when	SCONJ
fcis-6027	35	38	learning	learn	VERB
fcis-6027	35	39	the	the	DET
fcis-6027	35	40	kth	kth	PROPN
fcis-6027	35	41	base	base	NOUN
fcis-6027	35	42	learner	learner	NOUN
fcis-6027	35	43	is	be	AUX
fcis-6027	35	44	expressed	express	VERB
fcis-6027	35	45	as	as	SCONJ
fcis-6027	35	46	follows	follow	VERB
fcis-6027	35	47	:	:	PUNCT
fcis-6027	35	48	(	(	PUNCT
fcis-6027	35	49	)	)	PUNCT
fcis-6027	35	50	1	1	NUM
fcis-6027	35	51	(	(	PUNCT
fcis-6027	35	52	)	)	PUNCT
fcis-6027	35	53	(	(	PUNCT
fcis-6027	35	54	)	)	PUNCT
fcis-6027	35	55	1	1	NUM
fcis-6027	35	56	,	,	PUNCT
fcis-6027	36	1	(	(	PUNCT
fcis-6027	36	2	)	)	PUNCT
fcis-6027	36	3	knk	knk	NOUN
fcis-6027	37	1	i	i	PRON
fcis-6027	37	2	k	k	PROPN
fcis-6027	37	3	iii	iii	X
fcis-6027	38	1	obj	obj	PROPN
fcis-6027	38	2	l	l	PROPN
fcis-6027	38	3	y	y	PROPN
fcis-6027	38	4	y	y	PROPN
fcis-6027	38	5	f	f	NOUN
fcis-6027	38	6	x	x	X
fcis-6027	39	1	−	−	PROPN
fcis-6027	39	2	=	=	PUNCT
fcis-6027	40	1	=	=	SYM
fcis-6027	40	2	+	+	NOUN
fcis-6027	40	3			X
fcis-6027	40	4	(	(	PUNCT
fcis-6027	40	5	2	2	NUM
fcis-6027	40	6	)	)	PUNCT
fcis-6027	40	7	where	where	SCONJ
fcis-6027	40	8	,	,	PUNCT
fcis-6027	40	9	iy	iy	PROPN
fcis-6027	40	10	is	be	AUX
fcis-6027	40	11	the	the	DET
fcis-6027	40	12	real	real	ADJ
fcis-6027	40	13	input	input	NOUN
fcis-6027	40	14	of	of	ADP
fcis-6027	40	15	the	the	DET
fcis-6027	40	16	ith	ith	PROPN
fcis-6027	40	17	data	data	PROPN
fcis-6027	40	18	,	,	PUNCT
fcis-6027	40	19	1k	1k	PROPN
fcis-6027	40	20	iy	iy	PROPN
fcis-6027	40	21	−	−	PROPN
fcis-6027	40	22	is	be	AUX
fcis-6027	40	23	the	the	DET
fcis-6027	40	24	integrated	integrate	VERB
fcis-6027	40	25	output	output	NOUN
fcis-6027	40	26	of	of	ADP
fcis-6027	40	27	the	the	DET
fcis-6027	40	28	first	first	ADJ
fcis-6027	40	29	k-1	k-1	PROPN
fcis-6027	40	30	learners	learner	NOUN
fcis-6027	40	31	for	for	ADP
fcis-6027	40	32	the	the	DET
fcis-6027	40	33	i	i	PROPN
fcis-6027	40	34	data	datum	NOUN
fcis-6027	40	35	,	,	PUNCT
fcis-6027	40	36	,	,	PUNCT
fcis-6027	40	37	and	and	CCONJ
fcis-6027	40	38	(	(	PUNCT
fcis-6027	40	39	)	)	PUNCT
fcis-6027	40	40	kf	kf	PROPN
fcis-6027	40	41			PROPN
fcis-6027	40	42	is	be	AUX
fcis-6027	40	43	the	the	DET
fcis-6027	40	44	kth	kth	PROPN
fcis-6027	40	45	learner	learner	NOUN
fcis-6027	40	46	to	to	PART
fcis-6027	40	47	be	be	AUX
fcis-6027	40	48	learned	learn	VERB
fcis-6027	40	49	.	.	PUNCT
fcis-6027	41	1	the	the	DET
fcis-6027	41	2	objective	objective	ADJ
fcis-6027	41	3	function	function	NOUN
fcis-6027	41	4	of	of	ADP
fcis-6027	41	5	xgboost	xgboost	ADV
fcis-6027	41	6	will	will	AUX
fcis-6027	41	7	add	add	VERB
fcis-6027	41	8	a	a	DET
fcis-6027	41	9	regularization	regularization	NOUN
fcis-6027	41	10	term	term	NOUN
fcis-6027	41	11	,	,	PUNCT
fcis-6027	41	12	and	and	CCONJ
fcis-6027	41	13	the	the	DET
fcis-6027	41	14	decision	decision	NOUN
fcis-6027	41	15	tree	tree	NOUN
fcis-6027	41	16	will	will	AUX
fcis-6027	41	17	be	be	AUX
fcis-6027	41	18	pruned	prune	VERB
fcis-6027	41	19	at	at	ADP
fcis-6027	41	20	a	a	DET
fcis-6027	41	21	later	later	ADJ
fcis-6027	41	22	stage	stage	NOUN
fcis-6027	41	23	to	to	PART
fcis-6027	41	24	prevent	prevent	VERB
fcis-6027	41	25	overfitting	overfitting	NOUN
fcis-6027	41	26	,	,	PUNCT
fcis-6027	41	27	and	and	CCONJ
fcis-6027	41	28	the	the	DET
fcis-6027	41	29	objective	objective	ADJ
fcis-6027	41	30	function	function	NOUN
fcis-6027	41	31	after	after	ADP
fcis-6027	41	32	adding	add	VERB
fcis-6027	41	33	the	the	DET
fcis-6027	41	34	regularization	regularization	NOUN
fcis-6027	41	35	term	term	NOUN
fcis-6027	41	36	is	be	AUX
fcis-6027	41	37	as	as	SCONJ
fcis-6027	41	38	follows	follow	VERB
fcis-6027	41	39	:	:	PUNCT
fcis-6027	41	40	(	(	PUNCT
fcis-6027	41	41	)	)	PUNCT
fcis-6027	41	42	(	(	PUNCT
fcis-6027	41	43	)	)	PUNCT
fcis-6027	41	44	1	1	NUM
fcis-6027	41	45	(	(	PUNCT
fcis-6027	41	46	)	)	PUNCT
fcis-6027	41	47	(	(	PUNCT
fcis-6027	41	48	)	)	SYM
fcis-6027	41	49	1	1	NUM
fcis-6027	41	50	1	1	NUM
fcis-6027	41	51	,	,	PUNCT
fcis-6027	41	52	(	(	PUNCT
fcis-6027	41	53	)	)	PUNCT
fcis-6027	41	54	(	(	PUNCT
fcis-6027	41	55	)	)	PUNCT
fcis-6027	42	1	k	k	X
fcis-6027	42	2	nk	nk	PROPN
fcis-6027	43	1	k	k	PROPN
fcis-6027	44	1	i	i	PRON
fcis-6027	45	1	i	i	INTJ
fcis-6027	45	2	k	k	VERB
fcis-6027	46	1	i	i	PRON
fcis-6027	46	2	ji	ji	PROPN
fcis-6027	47	1	j	j	PROPN
fcis-6027	48	1	obj	obj	PROPN
fcis-6027	48	2	l	l	PROPN
fcis-6027	48	3	y	y	PROPN
fcis-6027	48	4	y	y	PROPN
fcis-6027	48	5	f	f	NOUN
fcis-6027	49	1	x	x	X
fcis-6027	49	2	f−	f−	PROPN
fcis-6027	49	3	=	=	PUNCT
fcis-6027	49	4	=	=	PUNCT
fcis-6027	50	1	=	=	PUNCT
fcis-6027	51	1	+	+	PUNCT
fcis-6027	51	2	+	+	CCONJ
fcis-6027	51	3			PRON
fcis-6027	51	4			X
fcis-6027	51	5	(	(	PUNCT
fcis-6027	51	6	3	3	X
fcis-6027	51	7	)	)	PUNCT
fcis-6027	51	8	the	the	DET
fcis-6027	51	9	regularization	regularization	NOUN
fcis-6027	51	10	term	term	NOUN
fcis-6027	51	11	is	be	AUX
fcis-6027	51	12	represented	represent	VERB
fcis-6027	51	13	as	as	SCONJ
fcis-6027	51	14	follows	follow	VERB
fcis-6027	51	15	:	:	PUNCT
fcis-6027	51	16	2	2	NUM
fcis-6027	51	17	1	1	NUM
fcis-6027	51	18	1	1	NUM
fcis-6027	51	19	(	(	PUNCT
fcis-6027	51	20	)	)	PUNCT
fcis-6027	51	21	2	2	NUM
fcis-6027	51	22	t	t	NOUN
fcis-6027	51	23	t	t	NOUN
fcis-6027	51	24	t	t	PROPN
fcis-6027	51	25	f	f	PROPN
fcis-6027	51	26	t	t	PROPN
fcis-6027	51	27	w	w	PROPN
fcis-6027	51	28			X
fcis-6027	51	29	=	=	SYM
fcis-6027	51	30			PROPN
fcis-6027	52	1	=	=	SYM
fcis-6027	53	1	+	+	NOUN
fcis-6027	53	2			X
fcis-6027	53	3	(	(	PUNCT
fcis-6027	53	4	4	4	NUM
fcis-6027	53	5	)	)	PUNCT
fcis-6027	53	6	where	where	SCONJ
fcis-6027	53	7	t	t	PROPN
fcis-6027	53	8	is	be	AUX
fcis-6027	53	9	the	the	DET
fcis-6027	53	10	total	total	ADJ
fcis-6027	53	11	number	number	NOUN
fcis-6027	53	12	of	of	ADP
fcis-6027	53	13	leaf	leaf	NOUN
fcis-6027	53	14	nodes	node	NOUN
fcis-6027	53	15	of	of	ADP
fcis-6027	53	16	the	the	DET
fcis-6027	53	17	base	base	NOUN
fcis-6027	53	18	regression	regression	NOUN
fcis-6027	53	19	tree	tree	NOUN
fcis-6027	53	20	,	,	PUNCT
fcis-6027	53	21	tw	tw	PROPN
fcis-6027	53	22	is	be	AUX
fcis-6027	53	23	the	the	DET
fcis-6027	53	24	output	output	NOUN
fcis-6027	53	25	value	value	NOUN
fcis-6027	53	26	of	of	ADP
fcis-6027	53	27	the	the	DET
fcis-6027	53	28	tth	tth	PROPN
fcis-6027	53	29	leaf	leaf	NOUN
fcis-6027	53	30	node	node	NOUN
fcis-6027	53	31	of	of	ADP
fcis-6027	53	32	the	the	DET
fcis-6027	53	33	base	base	NOUN
fcis-6027	53	34	regression	regression	NOUN
fcis-6027	53	35	tree	tree	NOUN
fcis-6027	53	36	,	,	PUNCT
fcis-6027	53	37	and	and	CCONJ
fcis-6027	53	38			PROPN
fcis-6027	53	39			NOUN
fcis-6027	53	40	、	、	NOUN
fcis-6027	53	41	is	be	AUX
fcis-6027	53	42	the	the	DET
fcis-6027	53	43	coefficient	coefficient	NOUN
fcis-6027	53	44	of	of	ADP
fcis-6027	53	45	the	the	DET
fcis-6027	53	46	regularization	regularization	NOUN
fcis-6027	53	47	term	term	NOUN
fcis-6027	53	48	,	,	PUNCT
fcis-6027	53	49	which	which	PRON
fcis-6027	53	50	is	be	AUX
fcis-6027	53	51	a	a	DET
fcis-6027	53	52	hyperparameter	hyperparameter	NOUN
fcis-6027	53	53	.	.	PUNCT
fcis-6027	54	1	when	when	SCONJ
fcis-6027	54	2	training	train	VERB
fcis-6027	54	3	the	the	DET
fcis-6027	54	4	kth	kth	PROPN
fcis-6027	54	5	base	base	PROPN
fcis-6027	54	6	regression	regression	NOUN
fcis-6027	54	7	tree	tree	NOUN
fcis-6027	54	8	,	,	PUNCT
fcis-6027	54	9	the	the	DET
fcis-6027	54	10	regularization	regularization	NOUN
fcis-6027	54	11	term	term	NOUN
fcis-6027	54	12	of	of	ADP
fcis-6027	54	13	the	the	DET
fcis-6027	54	14	first	first	ADJ
fcis-6027	54	15	k-1	k-1	PROPN
fcis-6027	54	16	base	base	PROPN
fcis-6027	54	17	regression	regression	NOUN
fcis-6027	54	18	trees	tree	NOUN
fcis-6027	54	19	is	be	AUX
fcis-6027	54	20	a	a	DET
fcis-6027	54	21	constant	constant	ADJ
fcis-6027	54	22	,	,	PUNCT
fcis-6027	54	23	and	and	CCONJ
fcis-6027	54	24	extract	extract	VERB
fcis-6027	54	25	them	they	PRON
fcis-6027	54	26	individually	individually	ADV
fcis-6027	54	27	into	into	ADP
fcis-6027	54	28	c(a	c(a	ADV
fcis-6027	54	29	constant	constant	ADJ
fcis-6027	54	30	)	)	PUNCT
fcis-6027	54	31	,	,	PUNCT
fcis-6027	54	32	then	then	ADV
fcis-6027	54	33	the	the	DET
fcis-6027	54	34	objective	objective	ADJ
fcis-6027	54	35	function	function	NOUN
fcis-6027	54	36	becomes	become	VERB
fcis-6027	54	37	as	as	SCONJ
fcis-6027	54	38	follows	follow	VERB
fcis-6027	54	39	:	:	PUNCT
fcis-6027	54	40	(	(	PUNCT
fcis-6027	54	41	)	)	PUNCT
fcis-6027	54	42	(	(	PUNCT
fcis-6027	54	43	)	)	PUNCT
fcis-6027	54	44	1	1	NUM
fcis-6027	54	45	2	2	NUM
fcis-6027	54	46	(	(	PUNCT
fcis-6027	54	47	)	)	PUNCT
fcis-6027	54	48	1	1	NUM
fcis-6027	54	49	1	1	NUM
fcis-6027	54	50	1	1	NUM
fcis-6027	54	51	,	,	PUNCT
fcis-6027	54	52	(	(	PUNCT
fcis-6027	54	53	)	)	PUNCT
fcis-6027	55	1	+	+	NUM
fcis-6027	55	2	2	2	NUM
fcis-6027	55	3	t	t	NOUN
fcis-6027	56	1	nk	nk	INTJ
fcis-6027	56	2	k	k	PROPN
fcis-6027	57	1	i	i	PRON
fcis-6027	58	1	i	i	INTJ
fcis-6027	58	2	k	k	VERB
fcis-6027	59	1	i	i	PRON
fcis-6027	59	2	ti	ti	VERB
fcis-6027	59	3	t	t	X
fcis-6027	60	1	obj	obj	PROPN
fcis-6027	60	2	l	l	PROPN
fcis-6027	60	3	y	y	PROPN
fcis-6027	60	4	y	y	PROPN
fcis-6027	60	5	f	f	PROPN
fcis-6027	60	6	x	x	SYM
fcis-6027	60	7	t	t	PROPN
fcis-6027	60	8	w	w	PROPN
fcis-6027	60	9	c	c	PROPN
fcis-6027	60	10	−	−	ADJ
fcis-6027	60	11	=	=	PUNCT
fcis-6027	60	12	=	=	SYM
fcis-6027	60	13	=	=	PUNCT
fcis-6027	61	1	+	+	PUNCT
fcis-6027	61	2	+	+	CCONJ
fcis-6027	61	3	+	+	ADJ
fcis-6027	61	4			X
fcis-6027	61	5			X
fcis-6027	61	6	(	(	PUNCT
fcis-6027	61	7	5	5	NUM
fcis-6027	61	8	)	)	PUNCT
fcis-6027	61	9	where	where	SCONJ
fcis-6027	61	10	,	,	PUNCT
fcis-6027	61	11	iy	iy	PROPN
fcis-6027	61	12	and	and	CCONJ
fcis-6027	61	13	1k	1k	PROPN
fcis-6027	61	14	iy	iy	PROPN
fcis-6027	61	15	−	−	PROPN
fcis-6027	61	16	are	be	AUX
fcis-6027	61	17	constants	constant	NOUN
fcis-6027	61	18	,	,	PUNCT
fcis-6027	61	19	so	so	SCONJ
fcis-6027	61	20	the	the	DET
fcis-6027	61	21	loss	loss	NOUN
fcis-6027	61	22	is	be	AUX
fcis-6027	61	23	a	a	DET
fcis-6027	61	24	function	function	NOUN
fcis-6027	61	25	of	of	ADP
fcis-6027	61	26	(	(	PUNCT
fcis-6027	61	27	)	)	PUNCT
fcis-6027	61	28	k	k	PROPN
fcis-6027	61	29	if	if	SCONJ
fcis-6027	61	30	x	x	X
fcis-6027	61	31	,	,	PUNCT
fcis-6027	61	32	the	the	DET
fcis-6027	61	33	quadratic	quadratic	ADJ
fcis-6027	61	34	taylor	taylor	PROPN
fcis-6027	61	35	expansion	expansion	NOUN
fcis-6027	61	36	of	of	ADP
fcis-6027	61	37	the	the	DET
fcis-6027	61	38	loss	loss	NOUN
fcis-6027	61	39	function	function	NOUN
fcis-6027	61	40	for	for	ADP
fcis-6027	61	41	(	(	PUNCT
fcis-6027	61	42	)	)	PUNCT
fcis-6027	61	43	0k	0k	NOUN
fcis-6027	61	44	if	if	SCONJ
fcis-6027	61	45	x	x	PRON
fcis-6027	61	46	=	=	PRON
fcis-6027	61	47	is	be	AUX
fcis-6027	61	48	as	as	SCONJ
fcis-6027	61	49	follows	follow	VERB
fcis-6027	61	50	:	:	PUNCT
fcis-6027	61	51	21	21	NUM
fcis-6027	61	52	(	(	PUNCT
fcis-6027	61	53	)	)	PUNCT
fcis-6027	61	54	(	(	PUNCT
fcis-6027	61	55	)	)	PUNCT
fcis-6027	61	56	(	(	PUNCT
fcis-6027	61	57	)	)	PUNCT
fcis-6027	61	58	2	2	X
fcis-6027	62	1	k	k	NOUN
fcis-6027	63	1	i	i	PRON
fcis-6027	64	1	i	i	PRON
fcis-6027	65	1	k	k	VERB
fcis-6027	66	1	i	i	PRON
fcis-6027	66	2	i	i	PRON
fcis-6027	67	1	k	k	INTJ
fcis-6027	68	1	if	if	SCONJ
fcis-6027	68	2	x	x	X
fcis-6027	68	3	g	g	NOUN
fcis-6027	68	4	f	f	NOUN
fcis-6027	68	5	x	x	SYM
fcis-6027	68	6	h	h	NOUN
fcis-6027	68	7	f	f	NOUN
fcis-6027	68	8	x=	x=	PUNCT
fcis-6027	69	1	+	+	CCONJ
fcis-6027	69	2	(	(	PUNCT
fcis-6027	69	3	6	6	NUM
fcis-6027	69	4	)	)	PUNCT
fcis-6027	69	5	where	where	SCONJ
fcis-6027	69	6	,	,	PUNCT
fcis-6027	69	7	1	1	NUM
fcis-6027	69	8	1	1	NUM
fcis-6027	69	9	1	1	NUM
fcis-6027	69	10	1	1	NUM
fcis-6027	69	11	1	1	NUM
fcis-6027	69	12	2	2	NUM
fcis-6027	69	13	1	1	NUM
fcis-6027	69	14	1	1	NUM
fcis-6027	69	15	2	2	NUM
fcis-6027	69	16	1	1	NUM
fcis-6027	69	17	2	2	NUM
fcis-6027	69	18	(	(	PUNCT
fcis-6027	69	19	,	,	PUNCT
fcis-6027	69	20	)	)	PUNCT
fcis-6027	69	21	(	(	PUNCT
fcis-6027	69	22	,	,	PUNCT
fcis-6027	69	23	)	)	PUNCT
fcis-6027	69	24	,	,	PUNCT
fcis-6027	69	25	(	(	PUNCT
fcis-6027	69	26	,	,	PUNCT
fcis-6027	69	27	)	)	PUNCT
fcis-6027	69	28	(	(	PUNCT
fcis-6027	69	29	,	,	PUNCT
fcis-6027	69	30	)	)	PUNCT
fcis-6027	69	31	(	(	PUNCT
fcis-6027	69	32	)	)	PUNCT
fcis-6027	70	1	k	k	PROPN
fcis-6027	71	1	k	k	PROPN
fcis-6027	71	2	k	k	PROPN
fcis-6027	72	1	i	i	PRON
fcis-6027	73	1	i	i	PRON
fcis-6027	74	1	i	i	PRON
fcis-6027	74	2	ii	ii	VERB
fcis-6027	74	3	ik	ik	INTJ
fcis-6027	75	1	i	i	PROPN
fcis-6027	75	2	k	k	PROPN
fcis-6027	76	1	k	k	PROPN
fcis-6027	76	2	k	k	PROPN
fcis-6027	77	1	i	i	PRON
fcis-6027	78	1	i	i	PRON
fcis-6027	79	1	i	i	PRON
fcis-6027	79	2	ii	ii	VERB
fcis-6027	79	3	ik	ik	INTJ
fcis-6027	80	1	i	i	PROPN
fcis-6027	80	2	l	l	PROPN
fcis-6027	80	3	y	y	VERB
fcis-6027	80	4	y	y	NOUN
fcis-6027	80	5	g	g	PROPN
fcis-6027	80	6	y	y	PROPN
fcis-6027	80	7	l	l	PROPN
fcis-6027	80	8	y	y	PROPN
fcis-6027	80	9	y	y	PROPN
fcis-6027	80	10	y	y	PROPN
fcis-6027	80	11	l	l	NOUN
fcis-6027	80	12	y	y	PROPN
fcis-6027	81	1	y	y	INTJ
fcis-6027	81	2	h	h	NOUN
fcis-6027	82	1	y	y	PROPN
fcis-6027	82	2	l	l	PROPN
fcis-6027	82	3	y	y	PROPN
fcis-6027	82	4	y	y	PROPN
fcis-6027	82	5	y	y	PROPN
fcis-6027	83	1	−	−	PROPN
fcis-6027	84	1	−	−	PROPN
fcis-6027	85	1	−	−	PROPN
fcis-6027	86	1	−	−	PROPN
fcis-6027	87	1	−	−	PROPN
fcis-6027	88	1	−	−	PROPN
fcis-6027	89	1	−	−	NOUN
fcis-6027	90	1	−	−	PROPN
fcis-6027	90	2			ADJ
fcis-6027	90	3	=	=	SYM
fcis-6027	90	4	=	=	SYM
fcis-6027	90	5			ADJ
fcis-6027	90	6			ADJ
fcis-6027	90	7			ADJ
fcis-6027	90	8	=	=	SYM
fcis-6027	90	9	=	=	SYM
fcis-6027	90	10			ADJ
fcis-6027	90	11			PROPN
fcis-6027	90	12	。	。	X
fcis-6027	90	13	(	(	PUNCT
fcis-6027	90	14	7	7	X
fcis-6027	90	15	)	)	PUNCT
fcis-6027	90	16	the	the	DET
fcis-6027	90	17	loss	loss	NOUN
fcis-6027	90	18	function	function	NOUN
fcis-6027	90	19	introduced	introduce	VERB
fcis-6027	90	20	above	above	ADV
fcis-6027	90	21	is	be	AUX
fcis-6027	90	22	brought	bring	VERB
fcis-6027	90	23	back	back	ADV
fcis-6027	90	24	to	to	ADP
fcis-6027	90	25	the	the	DET
fcis-6027	90	26	objective	objective	ADJ
fcis-6027	90	27	function	function	NOUN
fcis-6027	90	28	and	and	CCONJ
fcis-6027	90	29	simplified	simplify	VERB
fcis-6027	90	30	to	to	PART
fcis-6027	90	31	obtain	obtain	VERB
fcis-6027	90	32	equation	equation	NOUN
fcis-6027	90	33	(	(	PUNCT
fcis-6027	90	34	8)	8)	NUM
fcis-6027	90	35	:	:	PUNCT
fcis-6027	90	36	(	(	PUNCT
fcis-6027	90	37	)	)	PUNCT
fcis-6027	90	38	(	(	PUNCT
fcis-6027	90	39	)	)	PUNCT
fcis-6027	90	40	1	1	NUM
fcis-6027	90	41	2	2	NUM
fcis-6027	90	42	2	2	NUM
fcis-6027	90	43	(	(	PUNCT
fcis-6027	90	44	)	)	PUNCT
fcis-6027	90	45	(	(	PUNCT
fcis-6027	90	46	)	)	SYM
fcis-6027	90	47	1	1	NUM
fcis-6027	90	48	1	1	NUM
fcis-6027	90	49	1	1	NUM
fcis-6027	90	50	,	,	PUNCT
fcis-6027	90	51	(	(	PUNCT
fcis-6027	90	52	)	)	PUNCT
fcis-6027	90	53	(	(	PUNCT
fcis-6027	90	54	)	)	PUNCT
fcis-6027	91	1	+	+	CCONJ
fcis-6027	91	2	2	2	NUM
fcis-6027	91	3	t	t	NOUN
fcis-6027	92	1	nk	nk	INTJ
fcis-6027	92	2	k	k	PROPN
fcis-6027	93	1	i	i	PRON
fcis-6027	93	2	i	i	PRON
fcis-6027	94	1	i	i	VERB
fcis-6027	94	2	k	k	VERB
fcis-6027	95	1	i	i	PRON
fcis-6027	96	1	i	i	INTJ
fcis-6027	96	2	k	k	VERB
fcis-6027	97	1	i	i	PRON
fcis-6027	97	2	ti	ti	VERB
fcis-6027	97	3	t	t	X
fcis-6027	98	1	obj	obj	PROPN
fcis-6027	98	2	l	l	PROPN
fcis-6027	98	3	y	y	PROPN
fcis-6027	98	4	y	y	PROPN
fcis-6027	98	5	g	g	PROPN
fcis-6027	99	1	f	f	PROPN
fcis-6027	99	2	x	x	PROPN
fcis-6027	100	1	h	h	NOUN
fcis-6027	100	2	f	f	NOUN
fcis-6027	100	3	x	x	SYM
fcis-6027	100	4	t	t	PROPN
fcis-6027	100	5	w	w	PROPN
fcis-6027	100	6	c	c	PROPN
fcis-6027	100	7	−	−	ADJ
fcis-6027	100	8	=	=	PUNCT
fcis-6027	100	9	=	=	SYM
fcis-6027	100	10	=	=	PUNCT
fcis-6027	101	1	+	+	PUNCT
fcis-6027	102	1	+	+	PUNCT
fcis-6027	102	2	+	+	CCONJ
fcis-6027	102	3	+	+	ADJ
fcis-6027	102	4			X
fcis-6027	102	5			X
fcis-6027	102	6	(	(	PUNCT
fcis-6027	102	7	8)	8)	NUM
fcis-6027	102	8	where	where	SCONJ
fcis-6027	102	9	,	,	PUNCT
fcis-6027	102	10	ig	ig	PROPN
fcis-6027	102	11	and	and	CCONJ
fcis-6027	102	12	ih	ih	NOUN
fcis-6027	102	13	are	be	AUX
fcis-6027	102	14	constants	constant	NOUN
fcis-6027	102	15	,	,	PUNCT
fcis-6027	102	16	and	and	CCONJ
fcis-6027	102	17	(	(	PUNCT
fcis-6027	102	18	)	)	PUNCT
fcis-6027	102	19	(	(	PUNCT
fcis-6027	102	20	)	)	PUNCT
fcis-6027	102	21	k	k	NOUN
fcis-6027	102	22	if	if	SCONJ
fcis-6027	102	23	x	x	X
fcis-6027	102	24	w=	w=	NOUN
fcis-6027	102	25	,	,	PUNCT
fcis-6027	102	26	so	so	ADV
fcis-6027	102	27	we	we	PRON
fcis-6027	102	28	change	change	VERB
fcis-6027	102	29	the	the	DET
fcis-6027	102	30	summation	summation	NOUN
fcis-6027	102	31	order	order	NOUN
fcis-6027	102	32	,	,	PUNCT
fcis-6027	102	33	combine	combine	VERB
fcis-6027	102	34	(	(	PUNCT
fcis-6027	102	35	)	)	PUNCT
fcis-6027	102	36	(	(	PUNCT
fcis-6027	102	37	)	)	PUNCT
fcis-6027	102	38	k	k	PROPN
fcis-6027	102	39	if	if	SCONJ
fcis-6027	102	40	x	x	PROPN
fcis-6027	102	41	and	and	CCONJ
fcis-6027	102	42	w	w	NOUN
fcis-6027	102	43	to	to	PART
fcis-6027	102	44	obtain	obtain	VERB
fcis-6027	102	45	the	the	DET
fcis-6027	102	46	new	new	ADJ
fcis-6027	102	47	objective	objective	ADJ
fcis-6027	102	48	function	function	NOUN
fcis-6027	102	49	as	as	SCONJ
fcis-6027	102	50	follows	follow	VERB
fcis-6027	102	51	:	:	PUNCT
fcis-6027	102	52	(	(	PUNCT
fcis-6027	102	53	)	)	PUNCT
fcis-6027	102	54	(	(	PUNCT
fcis-6027	102	55	)	)	PUNCT
fcis-6027	102	56	(	(	PUNCT
fcis-6027	102	57	)	)	PUNCT
fcis-6027	102	58	2	2	NUM
fcis-6027	102	59	1	1	NUM
fcis-6027	102	60	(	(	PUNCT
fcis-6027	102	61	)	)	PUNCT
fcis-6027	102	62	(	(	PUNCT
fcis-6027	102	63	)	)	PUNCT
fcis-6027	102	64	1	1	NUM
fcis-6027	102	65	=	=	SYM
fcis-6027	102	66	(	(	PUNCT
fcis-6027	102	67	)	)	PUNCT
fcis-6027	102	68	(	(	PUNCT
fcis-6027	102	69	)	)	PUNCT
fcis-6027	102	70	2	2	X
fcis-6027	103	1	k	k	NOUN
fcis-6027	103	2	i	i	PRON
fcis-6027	104	1	k	k	INTJ
fcis-6027	105	1	i	i	PRON
fcis-6027	105	2	t	t	X
fcis-6027	106	1	k	k	NOUN
fcis-6027	107	1	i	i	PRON
fcis-6027	107	2	t	t	X
fcis-6027	108	1	i	i	PRON
fcis-6027	108	2	t	t	NOUN
fcis-6027	108	3	t	t	X
fcis-6027	109	1	f	f	X
fcis-6027	109	2	x	x	X
fcis-6027	109	3	w	w	NOUN
fcis-6027	109	4	f	f	PROPN
fcis-6027	109	5	x	x	X
fcis-6027	109	6	w	w	VERB
fcis-6027	109	7	obj	obj	PROPN
fcis-6027	109	8	g	g	PROPN
fcis-6027	109	9	w	w	PROPN
fcis-6027	109	10	h	h	PROPN
fcis-6027	109	11	w	w	PROPN
fcis-6027	109	12	t	t	PROPN
fcis-6027	109	13			NUM
fcis-6027	109	14	=	=	PUNCT
fcis-6027	110	1	=	=	PUNCT
fcis-6027	110	2	=	=	PUNCT
fcis-6027	111	1	+	+	PUNCT
fcis-6027	111	2	+	+	CCONJ
fcis-6027	111	3	+	+	X
fcis-6027	111	4			X
fcis-6027	111	5			X
fcis-6027	111	6			X
fcis-6027	111	7	(	(	PUNCT
fcis-6027	111	8	9	9	X
fcis-6027	111	9	)	)	PUNCT
fcis-6027	111	10	define	define	NOUN
fcis-6027	111	11	(	(	PUNCT
fcis-6027	111	12	)	)	PUNCT
fcis-6027	111	13	(	(	PUNCT
fcis-6027	111	14	)	)	PUNCT
fcis-6027	111	15	(	(	PUNCT
fcis-6027	111	16	)	)	PUNCT
fcis-6027	111	17	(	(	PUNCT
fcis-6027	111	18	)	)	PUNCT
fcis-6027	111	19	,	,	PUNCT
fcis-6027	112	1	k	k	PROPN
fcis-6027	113	1	i	i	PRON
fcis-6027	113	2	k	k	PROPN
fcis-6027	114	1	i	i	PRON
fcis-6027	114	2	t	t	VERB
fcis-6027	115	1	i	i	PRON
fcis-6027	115	2	t	t	X
fcis-6027	116	1	i	i	PRON
fcis-6027	116	2	f	f	PROPN
fcis-6027	117	1	x	x	X
fcis-6027	117	2	w	w	NOUN
fcis-6027	117	3	f	f	PROPN
fcis-6027	117	4	x	x	PROPN
fcis-6027	118	1	w	w	ADP
fcis-6027	118	2	g	g	PROPN
fcis-6027	118	3	g	g	PROPN
fcis-6027	118	4	h	h	NOUN
fcis-6027	118	5	h	h	NOUN
fcis-6027	119	1	=	=	PUNCT
fcis-6027	119	2	=	=	PUNCT
fcis-6027	120	1	=	=	PUNCT
fcis-6027	120	2	=	=	NOUN
fcis-6027	120	3			X
fcis-6027	120	4			X
fcis-6027	120	5	,	,	PUNCT
fcis-6027	120	6	then	then	ADV
fcis-6027	120	7	the	the	DET
fcis-6027	120	8	objective	objective	ADJ
fcis-6027	120	9	function	function	NOUN
fcis-6027	120	10	further	far	ADV
fcis-6027	120	11	becomes	become	VERB
fcis-6027	120	12	equation	equation	NOUN
fcis-6027	120	13	(	(	PUNCT
fcis-6027	120	14	10	10	NUM
fcis-6027	120	15	)	)	PUNCT
fcis-6027	120	16	:	:	PUNCT
fcis-6027	120	17	(	(	PUNCT
fcis-6027	120	18	)	)	PUNCT
fcis-6027	121	1	2	2	NUM
fcis-6027	121	2	1	1	NUM
fcis-6027	121	3	1	1	NUM
fcis-6027	121	4	=	=	SYM
fcis-6027	121	5	(	(	PUNCT
fcis-6027	121	6	)	)	PUNCT
fcis-6027	121	7	2	2	NUM
fcis-6027	121	8	t	t	NOUN
fcis-6027	121	9	k	k	PROPN
fcis-6027	121	10	t	t	PROPN
fcis-6027	121	11	t	t	PROPN
fcis-6027	121	12	t	t	PROPN
fcis-6027	121	13	t	t	PROPN
fcis-6027	121	14	t	t	PROPN
fcis-6027	121	15	obj	obj	PROPN
fcis-6027	121	16	g	g	PROPN
fcis-6027	121	17	w	w	PROPN
fcis-6027	121	18	h	h	PROPN
fcis-6027	121	19	w	w	PROPN
fcis-6027	121	20	t	t	PROPN
fcis-6027	121	21			NUM
fcis-6027	121	22	=	=	PUNCT
fcis-6027	122	1	+	+	PUNCT
fcis-6027	122	2	+	+	CCONJ
fcis-6027	122	3	+	+	ADJ
fcis-6027	122	4			X
fcis-6027	122	5	(	(	PUNCT
fcis-6027	122	6	10	10	NUM
fcis-6027	122	7	)	)	PUNCT
fcis-6027	122	8	this	this	PRON
fcis-6027	122	9	is	be	AUX
fcis-6027	122	10	an	an	DET
fcis-6027	122	11	independent	independent	ADJ
fcis-6027	122	12	quadratic	quadratic	ADJ
fcis-6027	122	13	function	function	NOUN
fcis-6027	122	14	of	of	ADP
fcis-6027	122	15	t	t	PROPN
fcis-6027	122	16	with	with	ADP
fcis-6027	122	17	respect	respect	NOUN
fcis-6027	122	18	to	to	ADP
fcis-6027	122	19	tw	tw	NOUN
fcis-6027	122	20	.	.	PUNCT
fcis-6027	123	1	taking	take	VERB
fcis-6027	123	2	the	the	DET
fcis-6027	123	3	smallest	small	ADJ
fcis-6027	123	4	value	value	NOUN
fcis-6027	123	5	of	of	ADP
fcis-6027	123	6	each	each	DET
fcis-6027	123	7	quadratic	quadratic	ADJ
fcis-6027	123	8	function	function	NOUN
fcis-6027	123	9	,	,	PUNCT
fcis-6027	123	10	i.e.	i.e.	X
fcis-6027	123	11	2	2	NUM
fcis-6027	123	12	1	1	NUM
fcis-6027	123	13	(	(	PUNCT
fcis-6027	123	14	0	0	NUM
fcis-6027	123	15	)	)	PUNCT
fcis-6027	123	16	(	(	PUNCT
fcis-6027	123	17	)	)	PUNCT
fcis-6027	123	18	2	2	NUM
fcis-6027	123	19	(	(	PUNCT
fcis-6027	123	20	)	)	PUNCT
fcis-6027	123	21	t	t	NOUN
fcis-6027	123	22	t	t	PROPN
fcis-6027	124	1	t	t	PROPN
fcis-6027	124	2	t	t	PROPN
fcis-6027	124	3	t	t	PROPN
fcis-6027	124	4	t	t	PROPN
fcis-6027	124	5	t	t	PROPN
fcis-6027	124	6	t	t	PROPN
fcis-6027	124	7	g	g	PROPN
fcis-6027	124	8	w	w	PROPN
fcis-6027	124	9	h	h	PROPN
fcis-6027	124	10	h	h	NOUN
fcis-6027	124	11	g	g	PROPN
fcis-6027	124	12	t	t	PROPN
fcis-6027	124	13	h	h	PROPN
fcis-6027	124	14			X
fcis-6027	124	15			X
fcis-6027	124	16			X
fcis-6027	124	17	=	=	SYM
fcis-6027	125	1	=	=	SYM
fcis-6027	125	2	−	−	PROPN
fcis-6027	126	1	+	+	CCONJ
fcis-6027	126	2			PRON
fcis-6027	126	3	+	+	CCONJ
fcis-6027	126	4	−	−	PROPN
fcis-6027	127	1	+	+	CCONJ
fcis-6027	127	2	+	+	X
fcis-6027	127	3			X
fcis-6027	127	4	(	(	PUNCT
fcis-6027	127	5	11	11	NUM
fcis-6027	127	6	)	)	PUNCT
fcis-6027	127	7	the	the	DET
fcis-6027	127	8	method	method	NOUN
fcis-6027	127	9	of	of	ADP
fcis-6027	127	10	determining	determine	VERB
fcis-6027	127	11	the	the	DET
fcis-6027	127	12	base	base	NOUN
fcis-6027	127	13	regression	regression	NOUN
fcis-6027	127	14	tree	tree	NOUN
fcis-6027	127	15	structure	structure	NOUN
fcis-6027	127	16	is	be	AUX
fcis-6027	127	17	mainly	mainly	ADV
fcis-6027	127	18	to	to	PART
fcis-6027	127	19	recursively	recursively	ADV
fcis-6027	127	20	determine	determine	VERB
fcis-6027	127	21	whether	whether	SCONJ
fcis-6027	127	22	a	a	DET
fcis-6027	127	23	leaf	leaf	NOUN
fcis-6027	127	24	node	node	NOUN
fcis-6027	127	25	is	be	AUX
fcis-6027	127	26	suitable	suitable	ADJ
fcis-6027	127	27	to	to	PART
fcis-6027	127	28	be	be	AUX
fcis-6027	127	29	extended	extend	VERB
fcis-6027	127	30	.	.	PUNCT
fcis-6027	128	1	for	for	ADP
fcis-6027	128	2	a	a	DET
fcis-6027	128	3	particular	particular	ADJ
fcis-6027	128	4	leaf	leaf	NOUN
fcis-6027	128	5	node	node	NOUN
fcis-6027	128	6	xt	xt	ADP
fcis-6027	129	1	that	that	SCONJ
fcis-6027	129	2	we	we	PRON
fcis-6027	129	3	want	want	VERB
fcis-6027	129	4	to	to	PART
fcis-6027	129	5	extend	extend	VERB
fcis-6027	129	6	,	,	PUNCT
fcis-6027	129	7	calculate	calculate	VERB
fcis-6027	129	8	the	the	DET
fcis-6027	129	9	value	value	NOUN
fcis-6027	129	10	of	of	ADP
fcis-6027	129	11	its	its	PRON
fcis-6027	129	12	objective	objective	ADJ
fcis-6027	129	13	function	function	NOUN
fcis-6027	129	14	before	before	ADP
fcis-6027	129	15	extension	extension	NOUN
fcis-6027	129	16	:	:	PUNCT
fcis-6027	129	17	2	2	NUM
fcis-6027	129	18	1	1	NUM
fcis-6027	129	19	1	1	NUM
fcis-6027	129	20	(	(	PUNCT
fcis-6027	129	21	)	)	PUNCT
fcis-6027	129	22	2	2	NUM
fcis-6027	129	23	(	(	PUNCT
fcis-6027	129	24	)	)	PUNCT
fcis-6027	129	25	t	t	NOUN
fcis-6027	129	26	t	t	PROPN
fcis-6027	129	27	t	t	PROPN
fcis-6027	129	28	t	t	PROPN
fcis-6027	129	29	g	g	PROPN
fcis-6027	129	30	obj	obj	PROPN
fcis-6027	129	31	t	t	PROPN
fcis-6027	129	32	h	h	NOUN
fcis-6027	129	33			NUM
fcis-6027	129	34	=	=	PUNCT
fcis-6027	129	35	=	=	PUNCT
fcis-6027	130	1	−	−	PROPN
fcis-6027	131	1	+	+	CCONJ
fcis-6027	131	2	+	+	X
fcis-6027	131	3			X
fcis-6027	131	4	(	(	PUNCT
fcis-6027	131	5	12	12	NUM
fcis-6027	131	6	)	)	PUNCT
fcis-6027	131	7	iterate	iterate	NOUN
fcis-6027	131	8	through	through	ADP
fcis-6027	131	9	all	all	DET
fcis-6027	131	10	possible	possible	ADJ
fcis-6027	131	11	values	value	NOUN
fcis-6027	131	12	of	of	ADP
fcis-6027	131	13	all	all	DET
fcis-6027	131	14	features	feature	NOUN
fcis-6027	131	15	and	and	CCONJ
fcis-6027	131	16	calculate	calculate	VERB
fcis-6027	131	17	the	the	DET
fcis-6027	131	18	objective	objective	ADJ
fcis-6027	131	19	function	function	NOUN
fcis-6027	131	20	value	value	NOUN
fcis-6027	131	21	after	after	SCONJ
fcis-6027	131	22	each	each	DET
fcis-6027	131	23	value	value	NOUN
fcis-6027	131	24	is	be	AUX
fcis-6027	131	25	extended	extend	VERB
fcis-6027	131	26	,	,	PUNCT
fcis-6027	131	27	xt	xt	PROPN
fcis-6027	131	28	split	split	VERB
fcis-6027	131	29	the	the	DET
fcis-6027	131	30	two	two	NUM
fcis-6027	131	31	new	new	ADJ
fcis-6027	131	32	leaf	leaf	NOUN
fcis-6027	131	33	nodes	node	NOUN
fcis-6027	131	34	1	1	NUM
fcis-6027	131	35	t	t	NOUN
fcis-6027	131	36	and	and	CCONJ
fcis-6027	131	37	2	2	NUM
fcis-6027	131	38	t	t	NOUN
fcis-6027	131	39	:	:	PUNCT
fcis-6027	131	40	21	21	NUM
fcis-6027	131	41	2	2	NUM
fcis-6027	131	42	1	1	NUM
fcis-6027	131	43	(	(	PUNCT
fcis-6027	131	44	)	)	PUNCT
fcis-6027	131	45	(	(	PUNCT
fcis-6027	131	46	1	1	X
fcis-6027	131	47	)	)	PUNCT
fcis-6027	131	48	2	2	NUM
fcis-6027	131	49	(	(	PUNCT
fcis-6027	131	50	)	)	PUNCT
fcis-6027	131	51	t	t	NOUN
fcis-6027	131	52	t	t	PROPN
fcis-6027	131	53	t	t	PROPN
fcis-6027	131	54	t	t	PROPN
fcis-6027	132	1	g	g	PROPN
fcis-6027	132	2	obj	obj	PROPN
fcis-6027	132	3	t	t	PROPN
fcis-6027	132	4	h	h	PROPN
fcis-6027	132	5			PROPN
fcis-6027	132	6			ADJ
fcis-6027	132	7	+	+	X
fcis-6027	133	1	=	=	SYM
fcis-6027	133	2	=	=	SYM
fcis-6027	133	3	−	−	PROPN
fcis-6027	134	1	+	+	CCONJ
fcis-6027	134	2	+	+	CCONJ
fcis-6027	134	3	+	+	X
fcis-6027	134	4			X
fcis-6027	134	5	(	(	PUNCT
fcis-6027	134	6	13	13	NUM
fcis-6027	134	7	)	)	PUNCT
fcis-6027	134	8	the	the	DET
fcis-6027	134	9	difference	difference	NOUN
fcis-6027	134	10	between	between	ADP
fcis-6027	134	11	the	the	DET
fcis-6027	134	12	two	two	NUM
fcis-6027	134	13	represents	represent	VERB
fcis-6027	134	14	the	the	DET
fcis-6027	134	15	information	information	NOUN
fcis-6027	134	16	gain	gain	NOUN
fcis-6027	134	17	after	after	ADP
fcis-6027	134	18	segmentation	segmentation	NOUN
fcis-6027	134	19	:	:	PUNCT
fcis-6027	134	20	1	1	NUM
fcis-6027	134	21	2	2	NUM
fcis-6027	134	22	1	1	NUM
fcis-6027	134	23	2	2	NUM
fcis-6027	134	24	22	22	NUM
fcis-6027	134	25	2	2	NUM
fcis-6027	134	26	1	1	NUM
fcis-6027	134	27	2	2	NUM
fcis-6027	134	28	1	1	NUM
fcis-6027	134	29	(	(	PUNCT
fcis-6027	134	30	)	)	PUNCT
fcis-6027	134	31	2	2	NUM
fcis-6027	134	32	(	(	PUNCT
fcis-6027	134	33	)	)	PUNCT
fcis-6027	134	34	(	(	PUNCT
fcis-6027	134	35	)	)	PUNCT
fcis-6027	134	36	(	(	PUNCT
fcis-6027	134	37	)	)	PUNCT
fcis-6027	134	38	x	x	X
fcis-6027	134	39	x	x	PUNCT
fcis-6027	134	40	tt	tt	PROPN
fcis-6027	134	41	t	t	PROPN
fcis-6027	134	42	t	t	PROPN
fcis-6027	134	43	t	t	PROPN
fcis-6027	134	44	t	t	PROPN
fcis-6027	134	45	gg	gg	PROPN
fcis-6027	134	46	g	g	PROPN
fcis-6027	134	47	obj	obj	PROPN
fcis-6027	134	48	obj	obj	PROPN
fcis-6027	135	1	h	h	NOUN
fcis-6027	135	2	h	h	PROPN
fcis-6027	135	3	h	h	PROPN
fcis-6027	135	4			PROPN
fcis-6027	135	5			X
fcis-6027	135	6			ADJ
fcis-6027	135	7			ADJ
fcis-6027	135	8	−	−	PROPN
fcis-6027	135	9	=	=	SYM
fcis-6027	136	1	+	+	NUM
fcis-6027	136	2	−	−	PROPN
fcis-6027	137	1	−	−	PROPN
fcis-6027	138	1	+	+	CCONJ
fcis-6027	138	2	+	+	PUNCT
fcis-6027	138	3	+	+	CCONJ
fcis-6027	138	4	(	(	PUNCT
fcis-6027	138	5	14	14	NUM
fcis-6027	138	6	)	)	PUNCT
fcis-6027	138	7	the	the	DET
fcis-6027	138	8	segmentation	segmentation	NOUN
fcis-6027	138	9	with	with	ADP
fcis-6027	138	10	the	the	DET
fcis-6027	138	11	largest	large	ADJ
fcis-6027	138	12	information	information	NOUN
fcis-6027	138	13	gain	gain	NOUN
fcis-6027	138	14	is	be	AUX
fcis-6027	138	15	the	the	DET
fcis-6027	138	16	optimal	optimal	ADJ
fcis-6027	138	17	solution	solution	NOUN
fcis-6027	138	18	for	for	ADP
fcis-6027	138	19	this	this	DET
fcis-6027	138	20	leaf	leaf	NOUN
fcis-6027	138	21	node	node	NOUN
fcis-6027	138	22	.	.	PUNCT
fcis-6027	139	1	the	the	DET
fcis-6027	139	2	lower	low	ADJ
fcis-6027	139	3	limit	limit	NOUN
fcis-6027	139	4	of	of	ADP
fcis-6027	139	5	information	information	NOUN
fcis-6027	139	6	gain	gain	NOUN
fcis-6027	139	7	can	can	AUX
fcis-6027	139	8	be	be	AUX
fcis-6027	139	9	set	set	VERB
fcis-6027	139	10	to	to	PART
fcis-6027	139	11	restrict	restrict	VERB
fcis-6027	139	12	the	the	DET
fcis-6027	139	13	tree	tree	NOUN
fcis-6027	139	14	from	from	ADP
fcis-6027	139	15	growing	grow	VERB
fcis-6027	139	16	too	too	ADV
fcis-6027	139	17	deep	deep	ADJ
fcis-6027	139	18	,	,	PUNCT
fcis-6027	139	19	while	while	SCONJ
fcis-6027	139	20	over	over	ADV
fcis-6027	139	21	-	-	PUNCT
fcis-6027	139	22	fitting	fitting	NOUN
fcis-6027	139	23	can	can	AUX
fcis-6027	139	24	be	be	AUX
fcis-6027	139	25	prevented	prevent	VERB
fcis-6027	139	26	by	by	ADP
fcis-6027	139	27	setting	set	VERB
fcis-6027	139	28	the	the	DET
fcis-6027	139	29	upper	upper	ADJ
fcis-6027	139	30	limit	limit	NOUN
fcis-6027	139	31	of	of	ADP
fcis-6027	139	32	the	the	DET
fcis-6027	139	33	maximum	maximum	ADJ
fcis-6027	139	34	depth	depth	NOUN
fcis-6027	139	35	of	of	ADP
fcis-6027	139	36	the	the	DET
fcis-6027	139	37	tree	tree	NOUN
fcis-6027	139	38	.	.	PUNCT
fcis-6027	140	1	2.2	2.2	NUM
fcis-6027	140	2	.	.	PUNCT
fcis-6027	141	1	emd	emd	PROPN
fcis-6027	141	2	the	the	DET
fcis-6027	141	3	empirical	empirical	ADJ
fcis-6027	141	4	modal	modal	ADJ
fcis-6027	141	5	decomposition	decomposition	NOUN
fcis-6027	141	6	algorithm	algorithm	NOUN
fcis-6027	141	7	idea[8	idea[8	NUM
fcis-6027	141	8	]	]	PUNCT
fcis-6027	141	9	is	be	AUX
fcis-6027	141	10	that	that	SCONJ
fcis-6027	141	11	any	any	DET
fcis-6027	141	12	time	time	NOUN
fcis-6027	141	13	series	series	NOUN
fcis-6027	141	14	consists	consist	VERB
fcis-6027	141	15	of	of	ADP
fcis-6027	141	16	an	an	DET
fcis-6027	141	17	intrinsic	intrinsic	ADJ
fcis-6027	141	18	modal	modal	ADJ
fcis-6027	141	19	function	function	NOUN
fcis-6027	141	20	(	(	PUNCT
fcis-6027	141	21	imf	imf	PROPN
fcis-6027	141	22	)	)	PUNCT
fcis-6027	141	23	as	as	ADV
fcis-6027	141	24	well	well	ADV
fcis-6027	141	25	as	as	ADP
fcis-6027	141	26	a	a	DET
fcis-6027	141	27	residual	residual	ADJ
fcis-6027	141	28	term	term	NOUN
fcis-6027	141	29	.	.	PUNCT
fcis-6027	142	1	obtain	obtain	VERB
fcis-6027	142	2	these	these	DET
fcis-6027	142	3	imf	imf	PROPN
fcis-6027	142	4	components	component	NOUN
fcis-6027	142	5	with	with	ADP
fcis-6027	142	6	initial	initial	ADJ
fcis-6027	142	7	signal	signal	NOUN
fcis-6027	142	8	characteristics	characteristic	NOUN
fcis-6027	142	9	,	,	PUNCT
fcis-6027	142	10	the	the	DET
fcis-6027	142	11	following	follow	VERB
fcis-6027	142	12	approach	approach	NOUN
fcis-6027	142	13	can	can	AUX
fcis-6027	142	14	be	be	AUX
fcis-6027	142	15	followed	follow	VERB
fcis-6027	142	16	.	.	PUNCT
fcis-6027	143	1	(	(	PUNCT
fcis-6027	143	2	1	1	X
fcis-6027	143	3	)	)	PUNCT
fcis-6027	143	4	in	in	ADP
fcis-6027	143	5	the	the	DET
fcis-6027	143	6	first	first	ADJ
fcis-6027	143	7	step	step	NOUN
fcis-6027	143	8	,	,	PUNCT
fcis-6027	143	9	all	all	DET
fcis-6027	143	10	the	the	DET
fcis-6027	143	11	extreme	extreme	ADJ
fcis-6027	143	12	and	and	CCONJ
fcis-6027	143	13	minimal	minimal	ADJ
fcis-6027	143	14	value	value	NOUN
fcis-6027	143	15	points	point	NOUN
fcis-6027	143	16	on	on	ADP
fcis-6027	143	17	that	that	DET
fcis-6027	143	18	time	time	NOUN
fcis-6027	143	19	series	series	PROPN
fcis-6027	143	20	are	be	AUX
fcis-6027	143	21	found	find	VERB
fcis-6027	143	22	.	.	PUNCT
fcis-6027	144	1	(	(	PUNCT
fcis-6027	144	2	2	2	NUM
fcis-6027	144	3	)	)	PUNCT
fcis-6027	144	4	then	then	ADV
fcis-6027	144	5	,	,	PUNCT
fcis-6027	144	6	the	the	DET
fcis-6027	144	7	extreme	extreme	ADJ
fcis-6027	144	8	value	value	NOUN
fcis-6027	144	9	envelopes	envelope	NOUN
fcis-6027	144	10	max	max	PROPN
fcis-6027	144	11	(	(	PUNCT
fcis-6027	144	12	)	)	PUNCT
fcis-6027	144	13	x	x	SYM
fcis-6027	144	14	t	t	NOUN
fcis-6027	144	15	and	and	CCONJ
fcis-6027	144	16	min	min	PROPN
fcis-6027	144	17	(	(	PUNCT
fcis-6027	144	18	)	)	PUNCT
fcis-6027	144	19	x	x	SYM
fcis-6027	144	20	t	t	NOUN
fcis-6027	144	21	of	of	ADP
fcis-6027	144	22	the	the	DET
fcis-6027	144	23	time	time	NOUN
fcis-6027	144	24	series	series	PROPN
fcis-6027	144	25	can	can	AUX
fcis-6027	144	26	be	be	AUX
fcis-6027	144	27	obtained	obtain	VERB
fcis-6027	144	28	by	by	ADP
fcis-6027	144	29	fitting	fit	VERB
fcis-6027	144	30	all	all	DET
fcis-6027	144	31	the	the	DET
fcis-6027	144	32	extreme	extreme	ADJ
fcis-6027	144	33	and	and	CCONJ
fcis-6027	144	34	extreme	extreme	ADJ
fcis-6027	144	35	minima	minima	NOUN
fcis-6027	144	36	of	of	ADP
fcis-6027	144	37	the	the	DET
fcis-6027	144	38	time	time	NOUN
fcis-6027	144	39	series	series	PROPN
fcis-6027	144	40	using	use	VERB
fcis-6027	144	41	the	the	DET
fcis-6027	144	42	cubic	cubic	ADJ
fcis-6027	144	43	spline	spline	NOUN
fcis-6027	144	44	interpolation	interpolation	NOUN
fcis-6027	144	45	function	function	NOUN
fcis-6027	144	46	,	,	PUNCT
fcis-6027	144	47	respectively	respectively	ADV
fcis-6027	144	48	.	.	PUNCT
fcis-6027	145	1	(	(	PUNCT
fcis-6027	145	2	3	3	X
fcis-6027	145	3	)	)	PUNCT
fcis-6027	145	4	the	the	DET
fcis-6027	145	5	mean	mean	ADJ
fcis-6027	145	6	value	value	NOUN
fcis-6027	145	7	of	of	ADP
fcis-6027	145	8	the	the	DET
fcis-6027	145	9	envelope	envelope	NOUN
fcis-6027	145	10	1	1	NUM
fcis-6027	145	11	(	(	PUNCT
fcis-6027	145	12	)	)	PUNCT
fcis-6027	145	13	m	m	PROPN
fcis-6027	145	14	t	t	PROPN
fcis-6027	145	15	is	be	AUX
fcis-6027	145	16	calculated	calculate	VERB
fcis-6027	145	17	from	from	ADP
fcis-6027	145	18	the	the	DET
fcis-6027	145	19	extreme	extreme	ADJ
fcis-6027	145	20	value	value	NOUN
fcis-6027	145	21	envelopes	envelope	NOUN
fcis-6027	145	22	max	max	PROPN
fcis-6027	145	23	(	(	PUNCT
fcis-6027	145	24	)	)	PUNCT
fcis-6027	145	25	x	x	SYM
fcis-6027	145	26	t	t	NOUN
fcis-6027	145	27	and	and	CCONJ
fcis-6027	145	28	min	min	PROPN
fcis-6027	145	29	(	(	PUNCT
fcis-6027	145	30	)	)	PUNCT
fcis-6027	145	31	x	x	SYM
fcis-6027	145	32	t	t	PROPN
fcis-6027	145	33	,	,	PUNCT
fcis-6027	145	34	i.e.	i.e.	X
fcis-6027	145	35	max	max	PROPN
fcis-6027	145	36	min	min	PROPN
fcis-6027	145	37	1	1	NUM
fcis-6027	145	38	(	(	PUNCT
fcis-6027	145	39	)	)	PUNCT
fcis-6027	145	40	+	+	CCONJ
fcis-6027	145	41	(	(	PUNCT
fcis-6027	145	42	)	)	PUNCT
fcis-6027	145	43	(	(	PUNCT
fcis-6027	145	44	)	)	PUNCT
fcis-6027	145	45	=	=	SYM
fcis-6027	145	46	2	2	NUM
fcis-6027	145	47	x	x	SYM
fcis-6027	145	48	t	t	NOUN
fcis-6027	145	49	x	x	SYM
fcis-6027	145	50	t	t	PROPN
fcis-6027	145	51	m	m	PROPN
fcis-6027	145	52	t	t	NOUN
fcis-6027	145	53	(	(	PUNCT
fcis-6027	145	54	15	15	NUM
fcis-6027	145	55	)	)	PUNCT
fcis-6027	145	56	(	(	PUNCT
fcis-6027	145	57	4	4	X
fcis-6027	145	58	)	)	PUNCT
fcis-6027	145	59	the	the	DET
fcis-6027	145	60	original	original	ADJ
fcis-6027	145	61	time	time	NOUN
fcis-6027	145	62	series	series	NOUN
fcis-6027	145	63	x(t	x(t	PROPN
fcis-6027	145	64	)	)	PUNCT
fcis-6027	145	65	is	be	AUX
fcis-6027	145	66	subtracted	subtract	VERB
fcis-6027	145	67	from	from	ADP
fcis-6027	145	68	the	the	DET
fcis-6027	145	69	mean	mean	ADJ
fcis-6027	145	70	envelope	envelope	NOUN
fcis-6027	145	71	1	1	NUM
fcis-6027	145	72	(	(	PUNCT
fcis-6027	145	73	)	)	PUNCT
fcis-6027	145	74	m	m	PROPN
fcis-6027	145	75	t	t	NOUN
fcis-6027	145	76	to	to	PART
fcis-6027	145	77	obtain	obtain	VERB
fcis-6027	145	78	the	the	DET
fcis-6027	145	79	first	first	ADJ
fcis-6027	145	80	component	component	NOUN
fcis-6027	145	81	1	1	NUM
fcis-6027	145	82	(	(	PUNCT
fcis-6027	145	83	)	)	PUNCT
fcis-6027	145	84	h	h	NOUN
fcis-6027	145	85	t	t	PROPN
fcis-6027	145	86	without	without	ADP
fcis-6027	145	87	lower	low	ADJ
fcis-6027	145	88	order	order	NOUN
fcis-6027	145	89	frequencies	frequency	NOUN
fcis-6027	145	90	:	:	PUNCT
fcis-6027	145	91	1	1	NUM
fcis-6027	145	92	1	1	NUM
fcis-6027	145	93	(	(	PUNCT
fcis-6027	145	94	)	)	PUNCT
fcis-6027	145	95	(	(	PUNCT
fcis-6027	145	96	)	)	PUNCT
fcis-6027	145	97	(	(	PUNCT
fcis-6027	145	98	)	)	PUNCT
fcis-6027	145	99	h	h	NOUN
fcis-6027	145	100	t	t	NOUN
fcis-6027	145	101	s	s	PROPN
fcis-6027	145	102	t	t	PROPN
fcis-6027	145	103	m	m	PROPN
fcis-6027	145	104	t=	t=	NOUN
fcis-6027	145	105	−	−	PROPN
fcis-6027	146	1	(	(	PUNCT
fcis-6027	146	2	16	16	NUM
fcis-6027	146	3	)	)	SYM
fcis-6027	146	4	74	74	NUM
fcis-6027	146	5	(	(	PUNCT
fcis-6027	146	6	5	5	NUM
fcis-6027	146	7	)	)	PUNCT
fcis-6027	146	8	in	in	ADP
fcis-6027	146	9	general	general	ADJ
fcis-6027	146	10	,	,	PUNCT
fcis-6027	146	11	the	the	DET
fcis-6027	146	12	components	component	NOUN
fcis-6027	146	13	1	1	NUM
fcis-6027	146	14	(	(	PUNCT
fcis-6027	146	15	)	)	PUNCT
fcis-6027	146	16	h	h	NOUN
fcis-6027	146	17	t	t	PROPN
fcis-6027	146	18	are	be	AUX
fcis-6027	146	19	largely	largely	ADV
fcis-6027	146	20	unstable	unstable	ADJ
fcis-6027	146	21	,	,	PUNCT
fcis-6027	146	22	so	so	CCONJ
fcis-6027	146	23	it	it	PRON
fcis-6027	146	24	is	be	AUX
fcis-6027	146	25	necessary	necessary	ADJ
fcis-6027	146	26	to	to	PART
fcis-6027	146	27	check	check	VERB
fcis-6027	146	28	whether	whether	SCONJ
fcis-6027	146	29	1	1	NUM
fcis-6027	146	30	(	(	PUNCT
fcis-6027	146	31	)	)	PUNCT
fcis-6027	146	32	h	h	NOUN
fcis-6027	146	33	t	t	PROPN
fcis-6027	146	34	meets	meet	VERB
fcis-6027	146	35	the	the	DET
fcis-6027	146	36	imf	imf	PROPN
fcis-6027	146	37	criteria	criterion	NOUN
fcis-6027	146	38	and	and	CCONJ
fcis-6027	146	39	whether	whether	SCONJ
fcis-6027	146	40	it	it	PRON
fcis-6027	146	41	is	be	AUX
fcis-6027	146	42	necessary	necessary	ADJ
fcis-6027	146	43	to	to	PART
fcis-6027	146	44	revert	revert	VERB
fcis-6027	146	45	to	to	PART
fcis-6027	146	46	step	step	VERB
fcis-6027	146	47	(	(	PUNCT
fcis-6027	146	48	1	1	NUM
fcis-6027	146	49	)	)	PUNCT
fcis-6027	146	50	and	and	CCONJ
fcis-6027	146	51	use	use	VERB
fcis-6027	146	52	1	1	NUM
fcis-6027	146	53	(	(	PUNCT
fcis-6027	146	54	)	)	PUNCT
fcis-6027	146	55	h	h	NOUN
fcis-6027	146	56	t	t	PROPN
fcis-6027	146	57	as	as	ADP
fcis-6027	146	58	the	the	DET
fcis-6027	146	59	initial	initial	ADJ
fcis-6027	146	60	series	series	NOUN
fcis-6027	146	61	and	and	CCONJ
fcis-6027	146	62	pick	pick	VERB
fcis-6027	146	63	again	again	ADV
fcis-6027	146	64	,	,	PUNCT
fcis-6027	146	65	i.e.	i.e.	X
fcis-6027	146	66	2	2	NUM
fcis-6027	146	67	1	1	NUM
fcis-6027	146	68	2	2	NUM
fcis-6027	146	69	1	1	NUM
fcis-6027	146	70	(	(	PUNCT
fcis-6027	146	71	)	)	PUNCT
fcis-6027	146	72	(	(	PUNCT
fcis-6027	146	73	)	)	PUNCT
fcis-6027	146	74	(	(	PUNCT
fcis-6027	146	75	)	)	PUNCT
fcis-6027	146	76	(	(	PUNCT
fcis-6027	146	77	)	)	PUNCT
fcis-6027	146	78	(	(	PUNCT
fcis-6027	146	79	)	)	PUNCT
fcis-6027	146	80	(	(	PUNCT
fcis-6027	146	81	)	)	PUNCT
fcis-6027	147	1	k	k	X
fcis-6027	148	1	k	k	PROPN
fcis-6027	149	1	k	k	PROPN
fcis-6027	150	1	h	h	NOUN
fcis-6027	151	1	t	t	PROPN
fcis-6027	151	2	h	h	NOUN
fcis-6027	152	1	t	t	PROPN
fcis-6027	152	2	m	m	PROPN
fcis-6027	152	3	t	t	PROPN
fcis-6027	152	4	h	h	NOUN
fcis-6027	153	1	t	t	PROPN
fcis-6027	153	2	h	h	NOUN
fcis-6027	154	1	t	t	PROPN
fcis-6027	154	2	m	m	VERB
fcis-6027	154	3	t−	t−	PROPN
fcis-6027	154	4	=	=	SYM
fcis-6027	155	1	−	−	PROPN
fcis-6027	155	2	=	=	SYM
fcis-6027	156	1	−	−	PROPN
fcis-6027	156	2	(	(	PUNCT
fcis-6027	156	3	17	17	NUM
fcis-6027	156	4	)	)	PUNCT
fcis-6027	156	5	(	(	PUNCT
fcis-6027	156	6	6	6	X
fcis-6027	156	7	)	)	PUNCT
fcis-6027	156	8	subtracting	subtract	VERB
fcis-6027	156	9	imf1	imf1	PROPN
fcis-6027	156	10	from	from	ADP
fcis-6027	156	11	the	the	DET
fcis-6027	156	12	original	original	ADJ
fcis-6027	156	13	time	time	NOUN
fcis-6027	156	14	series	series	PROPN
fcis-6027	156	15	s(t	s(t	PROPN
fcis-6027	156	16	)	)	PUNCT
fcis-6027	156	17	again	again	ADV
fcis-6027	156	18	yields	yield	VERB
fcis-6027	156	19	a	a	DET
fcis-6027	156	20	residual	residual	ADJ
fcis-6027	156	21	quantity	quantity	NOUN
fcis-6027	156	22	signal	signal	NOUN
fcis-6027	156	23	1	1	NUM
fcis-6027	156	24	(	(	PUNCT
fcis-6027	156	25	)	)	PUNCT
fcis-6027	156	26	r	r	NOUN
fcis-6027	156	27	t	t	NOUN
fcis-6027	156	28	without	without	ADP
fcis-6027	156	29	higher	high	ADJ
fcis-6027	156	30	order	order	NOUN
fcis-6027	156	31	frequencies	frequency	NOUN
fcis-6027	156	32	,	,	PUNCT
fcis-6027	156	33	denoted	denote	VERB
fcis-6027	156	34	as	as	SCONJ
fcis-6027	156	35	follows	follow	VERB
fcis-6027	156	36	:	:	PUNCT
fcis-6027	156	37	1	1	NUM
fcis-6027	156	38	1	1	NUM
fcis-6027	156	39	(	(	PUNCT
fcis-6027	156	40	)	)	PUNCT
fcis-6027	156	41	(	(	PUNCT
fcis-6027	156	42	)	)	PUNCT
fcis-6027	156	43	r	r	NOUN
fcis-6027	156	44	t	t	PROPN
fcis-6027	156	45	s	s	X
fcis-6027	156	46	t	t	PROPN
fcis-6027	156	47	imf=	imf=	PROPN
fcis-6027	156	48	−	−	PROPN
fcis-6027	156	49	(	(	PUNCT
fcis-6027	156	50	18	18	NUM
fcis-6027	156	51	)	)	PUNCT
fcis-6027	156	52	(	(	PUNCT
fcis-6027	156	53	7	7	X
fcis-6027	156	54	)	)	PUNCT
fcis-6027	156	55	take	take	VERB
fcis-6027	156	56	1	1	NUM
fcis-6027	156	57	(	(	PUNCT
fcis-6027	156	58	)	)	PUNCT
fcis-6027	156	59	r	r	NOUN
fcis-6027	156	60	t	t	PROPN
fcis-6027	156	61	as	as	ADP
fcis-6027	156	62	a	a	DET
fcis-6027	156	63	new	new	ADJ
fcis-6027	156	64	round	round	NOUN
fcis-6027	156	65	of	of	ADP
fcis-6027	156	66	the	the	DET
fcis-6027	156	67	sequence	sequence	NOUN
fcis-6027	156	68	,	,	PUNCT
fcis-6027	156	69	and	and	CCONJ
fcis-6027	156	70	again	again	ADV
fcis-6027	156	71	follow	follow	VERB
fcis-6027	156	72	the	the	DET
fcis-6027	156	73	procedures	procedure	NOUN
fcis-6027	156	74	from	from	ADP
fcis-6027	156	75	step	step	NOUN
fcis-6027	156	76	1	1	NUM
fcis-6027	156	77	to	to	PART
fcis-6027	156	78	step	step	VERB
fcis-6027	156	79	6	6	NUM
fcis-6027	156	80	to	to	PART
fcis-6027	156	81	obtain	obtain	VERB
fcis-6027	156	82	2	2	NUM
fcis-6027	156	83	(	(	PUNCT
fcis-6027	156	84	)	)	PUNCT
fcis-6027	156	85	r	r	NOUN
fcis-6027	156	86	t	t	PROPN
fcis-6027	156	87	.	.	PUNCT
fcis-6027	157	1	follow	follow	VERB
fcis-6027	157	2	such	such	ADJ
fcis-6027	157	3	steps	step	NOUN
fcis-6027	157	4	until	until	SCONJ
fcis-6027	157	5	when	when	SCONJ
fcis-6027	157	6	the	the	DET
fcis-6027	157	7	nth	nth	ADJ
fcis-6027	157	8	residual	residual	ADJ
fcis-6027	157	9	quantity	quantity	NOUN
fcis-6027	157	10	(	(	PUNCT
fcis-6027	157	11	)	)	PUNCT
fcis-6027	157	12	nr	nr	PROPN
fcis-6027	157	13	t	t	PROPN
fcis-6027	157	14	has	have	VERB
fcis-6027	157	15	and	and	CCONJ
fcis-6027	157	16	has	have	VERB
fcis-6027	157	17	only	only	ADV
fcis-6027	157	18	one	one	NUM
fcis-6027	157	19	extreme	extreme	ADJ
fcis-6027	157	20	value	value	NOUN
fcis-6027	157	21	point	point	NOUN
fcis-6027	157	22	,	,	PUNCT
fcis-6027	157	23	at	at	ADP
fcis-6027	157	24	which	which	DET
fcis-6027	157	25	time	time	NOUN
fcis-6027	157	26	there	there	PRON
fcis-6027	157	27	are	be	VERB
fcis-6027	157	28	no	no	PRON
fcis-6027	157	29	more	more	ADV
fcis-6027	157	30	redundant	redundant	ADJ
fcis-6027	157	31	imf	imf	PROPN
fcis-6027	157	32	components	component	NOUN
fcis-6027	157	33	to	to	PART
fcis-6027	157	34	extract	extract	VERB
fcis-6027	157	35	,	,	PUNCT
fcis-6027	157	36	then	then	ADV
fcis-6027	157	37	the	the	DET
fcis-6027	157	38	whole	whole	ADJ
fcis-6027	157	39	emd	emd	PROPN
fcis-6027	157	40	decomposition	decomposition	NOUN
fcis-6027	157	41	process	process	NOUN
fcis-6027	157	42	will	will	AUX
fcis-6027	157	43	be	be	AUX
fcis-6027	157	44	able	able	ADJ
fcis-6027	157	45	to	to	PART
fcis-6027	157	46	stop	stop	VERB
fcis-6027	157	47	.	.	PUNCT
fcis-6027	158	1	finally	finally	ADV
fcis-6027	158	2	,	,	PUNCT
fcis-6027	158	3	we	we	PRON
fcis-6027	158	4	can	can	AUX
fcis-6027	158	5	express	express	VERB
fcis-6027	158	6	the	the	DET
fcis-6027	158	7	initial	initial	ADJ
fcis-6027	158	8	time	time	NOUN
fcis-6027	158	9	series	series	PROPN
fcis-6027	158	10	s(t	s(t	PROPN
fcis-6027	158	11	)	)	PUNCT
fcis-6027	158	12	as	as	ADP
fcis-6027	158	13	the	the	DET
fcis-6027	158	14	sum	sum	NOUN
fcis-6027	158	15	of	of	ADP
fcis-6027	158	16	all	all	DET
fcis-6027	158	17	imf	imf	PROPN
fcis-6027	158	18	components	component	NOUN
fcis-6027	158	19	and	and	CCONJ
fcis-6027	158	20	one	one	NUM
fcis-6027	158	21	residual	residual	ADJ
fcis-6027	158	22	quantity	quantity	NOUN
fcis-6027	158	23	,	,	PUNCT
fcis-6027	158	24	i.e.	i.e.	X
fcis-6027	158	25	1	1	NUM
fcis-6027	158	26	(	(	PUNCT
fcis-6027	158	27	)	)	PUNCT
fcis-6027	158	28	(	(	PUNCT
fcis-6027	158	29	)	)	PUNCT
fcis-6027	158	30	(	(	PUNCT
fcis-6027	158	31	)	)	PUNCT
fcis-6027	159	1	n	n	CCONJ
fcis-6027	159	2	i	i	PRON
fcis-6027	160	1	n	n	VERB
fcis-6027	160	2	i	i	PRON
fcis-6027	160	3	s	s	PROPN
fcis-6027	160	4	t	t	PROPN
fcis-6027	160	5	imf	imf	PROPN
fcis-6027	160	6	t	t	PROPN
fcis-6027	160	7	r	r	NOUN
fcis-6027	160	8	t	t	NOUN
fcis-6027	160	9	=	=	PUNCT
fcis-6027	161	1	=	=	SYM
fcis-6027	161	2	+	+	ADJ
fcis-6027	161	3			X
fcis-6027	161	4	(	(	PUNCT
fcis-6027	161	5	19	19	NUM
fcis-6027	161	6	)	)	PUNCT
fcis-6027	161	7	2.3	2.3	NUM
fcis-6027	161	8	.	.	PUNCT
fcis-6027	162	1	arima	arima	PROPN
fcis-6027	162	2	arima	arima	PROPN
fcis-6027	162	3	(	(	PUNCT
fcis-6027	162	4	auto	auto	NOUN
fcis-6027	162	5	regressive	regressive	ADJ
fcis-6027	162	6	integrated	integrated	ADJ
fcis-6027	162	7	moving	move	VERB
fcis-6027	162	8	average	average	ADJ
fcis-6027	162	9	)	)	PUNCT
fcis-6027	162	10	model	model	NOUN
fcis-6027	162	11	,	,	PUNCT
fcis-6027	162	12	full	full	ADJ
fcis-6027	162	13	name	name	NOUN
fcis-6027	162	14	autoregressive	autoregressive	ADJ
fcis-6027	162	15	differential	differential	ADJ
fcis-6027	162	16	moving	move	VERB
fcis-6027	162	17	average	average	ADJ
fcis-6027	162	18	model	model	NOUN
fcis-6027	162	19	,	,	PUNCT
fcis-6027	162	20	is	be	AUX
fcis-6027	162	21	a	a	DET
fcis-6027	162	22	linear	linear	ADJ
fcis-6027	162	23	time	time	NOUN
fcis-6027	162	24	series	series	PROPN
fcis-6027	162	25	forecasting	forecasting	NOUN
fcis-6027	162	26	method	method	NOUN
fcis-6027	162	27	jointly	jointly	ADV
fcis-6027	162	28	proposed	propose	VERB
fcis-6027	162	29	by	by	ADP
fcis-6027	162	30	box	box	PROPN
fcis-6027	162	31	(	(	PUNCT
fcis-6027	162	32	box	box	PROPN
fcis-6027	162	33	)	)	PUNCT
fcis-6027	162	34	and	and	CCONJ
fcis-6027	162	35	jenkins	jenkins	PROPN
fcis-6027	162	36	(	(	PUNCT
fcis-6027	162	37	jenkins	jenkins	PROPN
fcis-6027	162	38	)	)	PUNCT
fcis-6027	162	39	in	in	ADP
fcis-6027	162	40	the	the	DET
fcis-6027	162	41	1970s	1970	NOUN
fcis-6027	162	42	,	,	PUNCT
fcis-6027	162	43	and	and	CCONJ
fcis-6027	162	44	is	be	AUX
fcis-6027	162	45	also	also	ADV
fcis-6027	162	46	a	a	DET
fcis-6027	162	47	model	model	NOUN
fcis-6027	162	48	commonly	commonly	ADV
fcis-6027	162	49	used	use	VERB
fcis-6027	162	50	for	for	ADP
fcis-6027	162	51	time	time	NOUN
fcis-6027	162	52	series	series	PROPN
fcis-6027	162	53	forecasting[9	forecasting[9	PROPN
fcis-6027	162	54	]	]	PUNCT
fcis-6027	162	55	.	.	PUNCT
fcis-6027	163	1	arima	arima	PROPN
fcis-6027	163	2	(	(	PUNCT
fcis-6027	163	3	p	p	X
fcis-6027	163	4	,	,	PUNCT
fcis-6027	163	5	d	d	NOUN
fcis-6027	163	6	,	,	PUNCT
fcis-6027	163	7	q	q	NOUN
fcis-6027	163	8	)	)	PUNCT
fcis-6027	163	9	,	,	PUNCT
fcis-6027	163	10	where	where	SCONJ
fcis-6027	163	11	ar	ar	PROPN
fcis-6027	163	12	is	be	AUX
fcis-6027	163	13	the	the	DET
fcis-6027	163	14	autoregressive	autoregressive	ADJ
fcis-6027	163	15	and	and	CCONJ
fcis-6027	163	16	p	p	NOUN
fcis-6027	163	17	is	be	AUX
fcis-6027	163	18	the	the	DET
fcis-6027	163	19	number	number	NOUN
fcis-6027	163	20	of	of	ADP
fcis-6027	163	21	autoregressive	autoregressive	ADJ
fcis-6027	163	22	terms	term	NOUN
fcis-6027	163	23	;	;	PUNCT
fcis-6027	163	24	ma	ma	PROPN
fcis-6027	163	25	is	be	AUX
fcis-6027	163	26	the	the	DET
fcis-6027	163	27	moving	move	VERB
fcis-6027	163	28	average	average	NOUN
fcis-6027	163	29	and	and	CCONJ
fcis-6027	163	30	q	q	NOUN
fcis-6027	163	31	is	be	AUX
fcis-6027	163	32	the	the	DET
fcis-6027	163	33	number	number	NOUN
fcis-6027	163	34	of	of	ADP
fcis-6027	163	35	moving	move	VERB
fcis-6027	163	36	average	average	ADJ
fcis-6027	163	37	terms	term	NOUN
fcis-6027	163	38	;	;	PUNCT
fcis-6027	163	39	and	and	CCONJ
fcis-6027	163	40	d	d	NOUN
fcis-6027	163	41	is	be	AUX
fcis-6027	163	42	the	the	DET
fcis-6027	163	43	number	number	NOUN
fcis-6027	163	44	of	of	ADP
fcis-6027	163	45	differences	difference	NOUN
fcis-6027	163	46	needed	need	VERB
fcis-6027	163	47	to	to	PART
fcis-6027	163	48	make	make	VERB
fcis-6027	163	49	a	a	DET
fcis-6027	163	50	non	non	ADJ
fcis-6027	163	51	-	-	ADJ
fcis-6027	163	52	stationary	stationary	ADJ
fcis-6027	163	53	time	time	NOUN
fcis-6027	163	54	series	series	NOUN
fcis-6027	163	55	into	into	ADP
fcis-6027	163	56	a	a	DET
fcis-6027	163	57	stationary	stationary	ADJ
fcis-6027	163	58	time	time	NOUN
fcis-6027	163	59	series	series	NOUN
fcis-6027	163	60	.	.	PUNCT
fcis-6027	164	1	the	the	DET
fcis-6027	164	2	arima	arima	PROPN
fcis-6027	164	3	model	model	NOUN
fcis-6027	164	4	is	be	AUX
fcis-6027	164	5	expressed	express	VERB
fcis-6027	164	6	as	as	SCONJ
fcis-6027	164	7	follows	follow	VERB
fcis-6027	164	8	:	:	PUNCT
fcis-6027	164	9	1	1	NUM
fcis-6027	164	10	1	1	NUM
fcis-6027	164	11	1	1	NUM
fcis-6027	164	12	1	1	NUM
fcis-6027	164	13	p	p	NOUN
fcis-6027	164	14	p	p	X
fcis-6027	165	1	t	t	X
fcis-6027	166	1	i	i	PRON
fcis-6027	166	2	t	t	NOUN
fcis-6027	167	1	t	t	X
fcis-6027	168	1	i	i	PRON
fcis-6027	168	2	t	t	VERB
fcis-6027	169	1	i	i	PRON
fcis-6027	170	1	i	i	INTJ
fcis-6027	170	2	y	y	VERB
fcis-6027	170	3	y	y	NUM
fcis-6027	170	4			NUM
fcis-6027	170	5			PROPN
fcis-6027	170	6			PROPN
fcis-6027	170	7	−	−	VERB
fcis-6027	170	8	−	−	PROPN
fcis-6027	171	1	=	=	PUNCT
fcis-6027	171	2	=	=	PUNCT
fcis-6027	172	1	=	=	PUNCT
fcis-6027	173	1	+	+	PUNCT
fcis-6027	173	2	+	+	CCONJ
fcis-6027	173	3	+	+	ADJ
fcis-6027	173	4			X
fcis-6027	173	5			X
fcis-6027	173	6	(	(	PUNCT
fcis-6027	173	7	20	20	NUM
fcis-6027	173	8	)	)	PUNCT
fcis-6027	173	9	where	where	SCONJ
fcis-6027	173	10	ty	ty	NOUN
fcis-6027	173	11	and	and	CCONJ
fcis-6027	173	12	t	t	PROPN
fcis-6027	173	13	are	be	AUX
fcis-6027	173	14	the	the	DET
fcis-6027	173	15	actual	actual	ADJ
fcis-6027	173	16	value	value	NOUN
fcis-6027	173	17	and	and	CCONJ
fcis-6027	173	18	random	random	ADJ
fcis-6027	173	19	error	error	NOUN
fcis-6027	173	20	of	of	ADP
fcis-6027	173	21	time	time	NOUN
fcis-6027	173	22	period	period	NOUN
fcis-6027	173	23	t	t	PROPN
fcis-6027	173	24	;	;	PUNCT
fcis-6027	173	25	p	p	X
fcis-6027	173	26	,	,	PUNCT
fcis-6027	173	27	q	q	X
fcis-6027	173	28	are	be	AUX
fcis-6027	173	29	the	the	DET
fcis-6027	173	30	orders	order	NOUN
fcis-6027	173	31	of	of	ADP
fcis-6027	173	32	autoregressive	autoregressive	ADJ
fcis-6027	173	33	and	and	CCONJ
fcis-6027	173	34	moving	move	VERB
fcis-6027	173	35	average	average	ADJ
fcis-6027	173	36	,	,	PUNCT
fcis-6027	173	37	and	and	CCONJ
fcis-6027	173	38	t	t	PROPN
fcis-6027	173	39	is	be	AUX
fcis-6027	173	40	the	the	DET
fcis-6027	173	41	sequence	sequence	NOUN
fcis-6027	173	42	of	of	ADP
fcis-6027	173	43	random	random	ADJ
fcis-6027	173	44	disturbance	disturbance	NOUN
fcis-6027	173	45	terms	term	NOUN
fcis-6027	173	46	.	.	PUNCT
fcis-6027	174	1	among	among	ADP
fcis-6027	174	2	them	they	PRON
fcis-6027	174	3	,	,	PUNCT
fcis-6027	174	4	the	the	DET
fcis-6027	174	5	model	model	NOUN
fcis-6027	174	6	order	order	NOUN
fcis-6027	174	7	(	(	PUNCT
fcis-6027	174	8	p	p	X
fcis-6027	174	9	,	,	PUNCT
fcis-6027	174	10	q	q	NOUN
fcis-6027	174	11	)	)	PUNCT
fcis-6027	174	12	is	be	AUX
fcis-6027	174	13	the	the	DET
fcis-6027	174	14	key	key	ADJ
fcis-6027	174	15	aspect	aspect	NOUN
fcis-6027	174	16	of	of	ADP
fcis-6027	174	17	arima	arima	PROPN
fcis-6027	174	18	model	model	NOUN
fcis-6027	174	19	construction	construction	NOUN
fcis-6027	174	20	,	,	PUNCT
fcis-6027	174	21	which	which	PRON
fcis-6027	174	22	determines	determine	VERB
fcis-6027	174	23	the	the	DET
fcis-6027	174	24	accuracy	accuracy	NOUN
fcis-6027	174	25	of	of	ADP
fcis-6027	174	26	model	model	NOUN
fcis-6027	174	27	prediction	prediction	NOUN
fcis-6027	174	28	.	.	PUNCT
fcis-6027	175	1	2.4	2.4	NUM
fcis-6027	175	2	.	.	PUNCT
fcis-6027	176	1	lstm	lstm	ADJ
fcis-6027	176	2	lstm	lstm	PROPN
fcis-6027	176	3	is	be	AUX
fcis-6027	176	4	a	a	DET
fcis-6027	176	5	special	special	ADJ
fcis-6027	176	6	kind	kind	NOUN
fcis-6027	176	7	of	of	ADP
fcis-6027	176	8	recurrent	recurrent	ADJ
fcis-6027	176	9	neural	neural	ADJ
fcis-6027	176	10	network	network	NOUN
fcis-6027	176	11	,	,	PUNCT
fcis-6027	176	12	it	it	PRON
fcis-6027	176	13	avoids	avoid	VERB
fcis-6027	176	14	the	the	DET
fcis-6027	176	15	problem	problem	NOUN
fcis-6027	176	16	of	of	ADP
fcis-6027	176	17	gradient	gradient	ADJ
fcis-6027	176	18	disappearance	disappearance	NOUN
fcis-6027	176	19	and	and	CCONJ
fcis-6027	176	20	gradient	gradient	NOUN
fcis-6027	176	21	explosion	explosion	NOUN
fcis-6027	176	22	caused	cause	VERB
fcis-6027	176	23	by	by	ADP
fcis-6027	176	24	traditional	traditional	ADJ
fcis-6027	176	25	recurrent	recurrent	ADJ
fcis-6027	176	26	neural	neural	ADJ
fcis-6027	176	27	networks	network	NOUN
fcis-6027	176	28	by	by	ADP
fcis-6027	176	29	carefully	carefully	ADV
fcis-6027	176	30	designing	design	VERB
fcis-6027	176	31	the	the	DET
fcis-6027	176	32	"	"	PUNCT
fcis-6027	176	33	gate	gate	ADJ
fcis-6027	176	34	"	"	PUNCT
fcis-6027	176	35	structure	structure	NOUN
fcis-6027	176	36	,	,	PUNCT
fcis-6027	176	37	and	and	CCONJ
fcis-6027	176	38	can	can	AUX
fcis-6027	176	39	effectively	effectively	ADV
fcis-6027	176	40	learn	learn	VERB
fcis-6027	176	41	the	the	DET
fcis-6027	176	42	long	long	ADJ
fcis-6027	176	43	-	-	PUNCT
fcis-6027	176	44	term	term	NOUN
fcis-6027	176	45	dependence	dependence	NOUN
fcis-6027	176	46	relationship[10	relationship[10	NOUN
fcis-6027	176	47	]	]	PUNCT
fcis-6027	176	48	.	.	PUNCT
fcis-6027	177	1	therefore	therefore	ADV
fcis-6027	177	2	,	,	PUNCT
fcis-6027	177	3	the	the	DET
fcis-6027	177	4	lstm	lstm	PROPN
fcis-6027	177	5	model	model	NOUN
fcis-6027	177	6	with	with	ADP
fcis-6027	177	7	memory	memory	NOUN
fcis-6027	177	8	function	function	NOUN
fcis-6027	177	9	shows	show	VERB
fcis-6027	177	10	a	a	DET
fcis-6027	177	11	strong	strong	ADJ
fcis-6027	177	12	advantage	advantage	NOUN
fcis-6027	177	13	in	in	ADP
fcis-6027	177	14	dealing	deal	VERB
fcis-6027	177	15	with	with	ADP
fcis-6027	177	16	time	time	NOUN
fcis-6027	177	17	series	series	PROPN
fcis-6027	177	18	prediction	prediction	NOUN
fcis-6027	177	19	and	and	CCONJ
fcis-6027	177	20	classification	classification	NOUN
fcis-6027	177	21	problems	problem	NOUN
fcis-6027	177	22	.	.	PUNCT
fcis-6027	178	1	the	the	DET
fcis-6027	178	2	lstm	lstm	NOUN
fcis-6027	178	3	is	be	AUX
fcis-6027	178	4	composed	compose	VERB
fcis-6027	178	5	of	of	ADP
fcis-6027	178	6	multiple	multiple	ADJ
fcis-6027	178	7	isomorphic	isomorphic	ADJ
fcis-6027	178	8	cells	cell	NOUN
fcis-6027	178	9	,	,	PUNCT
fcis-6027	178	10	and	and	CCONJ
fcis-6027	178	11	the	the	DET
fcis-6027	178	12	structure	structure	NOUN
fcis-6027	178	13	is	be	AUX
fcis-6027	178	14	able	able	ADJ
fcis-6027	178	15	to	to	PART
fcis-6027	178	16	store	store	VERB
fcis-6027	178	17	information	information	NOUN
fcis-6027	178	18	in	in	ADP
fcis-6027	178	19	long	long	ADJ
fcis-6027	178	20	time	time	NOUN
fcis-6027	178	21	by	by	ADP
fcis-6027	178	22	updating	update	VERB
fcis-6027	178	23	the	the	DET
fcis-6027	178	24	internal	internal	ADJ
fcis-6027	178	25	state	state	NOUN
fcis-6027	178	26	,	,	PUNCT
fcis-6027	178	27	a	a	PRON
fcis-6027	178	28	indicates	indicate	VERB
fcis-6027	178	29	that	that	SCONJ
fcis-6027	178	30	3	3	NUM
fcis-6027	178	31	cells	cell	NOUN
fcis-6027	178	32	have	have	VERB
fcis-6027	178	33	the	the	DET
fcis-6027	178	34	same	same	ADJ
fcis-6027	178	35	cell	cell	NOUN
fcis-6027	178	36	structure	structure	NOUN
fcis-6027	178	37	.	.	PUNCT
fcis-6027	179	1	each	each	DET
fcis-6027	179	2	cell	cell	NOUN
fcis-6027	179	3	consists	consist	VERB
fcis-6027	179	4	of	of	ADP
fcis-6027	179	5	4	4	NUM
fcis-6027	179	6	main	main	ADJ
fcis-6027	179	7	elements	element	NOUN
fcis-6027	179	8	:	:	PUNCT
fcis-6027	179	9	input	input	NOUN
fcis-6027	179	10	gate	gate	NOUN
fcis-6027	179	11	,	,	PUNCT
fcis-6027	179	12	forgetting	forget	VERB
fcis-6027	179	13	gate	gate	NOUN
fcis-6027	179	14	,	,	PUNCT
fcis-6027	179	15	output	output	NOUN
fcis-6027	179	16	gate	gate	NOUN
fcis-6027	179	17	and	and	CCONJ
fcis-6027	179	18	cell	cell	NOUN
fcis-6027	179	19	state	state	NOUN
fcis-6027	179	20	.	.	PUNCT
fcis-6027	180	1	the	the	DET
fcis-6027	180	2	first	first	ADJ
fcis-6027	180	3	step	step	NOUN
fcis-6027	180	4	in	in	ADP
fcis-6027	180	5	the	the	DET
fcis-6027	180	6	lstm	lstm	NOUN
fcis-6027	180	7	is	be	AUX
fcis-6027	180	8	to	to	PART
fcis-6027	180	9	decide	decide	VERB
fcis-6027	180	10	the	the	DET
fcis-6027	180	11	discard	discard	NOUN
fcis-6027	180	12	and	and	CCONJ
fcis-6027	180	13	retention	retention	NOUN
fcis-6027	180	14	of	of	ADP
fcis-6027	180	15	information	information	NOUN
fcis-6027	180	16	through	through	ADP
fcis-6027	180	17	the	the	DET
fcis-6027	180	18	forgetting	forget	VERB
fcis-6027	180	19	gate	gate	NOUN
fcis-6027	180	20	,	,	PUNCT
fcis-6027	180	21	which	which	PRON
fcis-6027	180	22	has	have	VERB
fcis-6027	180	23	the	the	DET
fcis-6027	180	24	following	follow	VERB
fcis-6027	180	25	structure	structure	NOUN
fcis-6027	180	26	:	:	PUNCT
fcis-6027	180	27	1	1	NUM
fcis-6027	180	28	(	(	PUNCT
fcis-6027	180	29	[	[	PUNCT
fcis-6027	180	30	,	,	PUNCT
fcis-6027	180	31	]	]	PUNCT
fcis-6027	180	32	)	)	PUNCT
fcis-6027	181	1	t	t	PROPN
fcis-6027	181	2	f	f	PROPN
fcis-6027	181	3	t	t	PROPN
fcis-6027	181	4	t	t	PROPN
fcis-6027	181	5	ff	ff	NOUN
fcis-6027	181	6	w	w	PROPN
fcis-6027	181	7	h	h	PROPN
fcis-6027	181	8	x	x	PROPN
fcis-6027	181	9	b	b	PROPN
fcis-6027	181	10	−=	−=	NOUN
fcis-6027	181	11			PROPN
fcis-6027	181	12	+	+	CCONJ
fcis-6027	181	13	(	(	PUNCT
fcis-6027	181	14	21	21	NUM
fcis-6027	181	15	)	)	PUNCT
fcis-6027	181	16	the	the	DET
fcis-6027	181	17	second	second	ADJ
fcis-6027	181	18	step	step	NOUN
fcis-6027	181	19	in	in	ADP
fcis-6027	181	20	the	the	DET
fcis-6027	181	21	lstm	lstm	NOUN
fcis-6027	181	22	is	be	AUX
fcis-6027	181	23	to	to	PART
fcis-6027	181	24	determine	determine	VERB
fcis-6027	181	25	the	the	DET
fcis-6027	181	26	new	new	ADJ
fcis-6027	181	27	information	information	NOUN
fcis-6027	181	28	being	be	AUX
fcis-6027	181	29	stored	store	VERB
fcis-6027	181	30	in	in	ADP
fcis-6027	181	31	the	the	DET
fcis-6027	181	32	cell	cell	NOUN
fcis-6027	181	33	state	state	NOUN
fcis-6027	181	34	,	,	PUNCT
fcis-6027	181	35	and	and	CCONJ
fcis-6027	181	36	the	the	DET
fcis-6027	181	37	algorithm	algorithm	NOUN
fcis-6027	181	38	expression	expression	NOUN
fcis-6027	181	39	is	be	AUX
fcis-6027	181	40	as	as	SCONJ
fcis-6027	181	41	follows	follow	VERB
fcis-6027	181	42	:	:	PUNCT
fcis-6027	181	43	1	1	NUM
fcis-6027	181	44	1	1	NUM
fcis-6027	181	45	(	(	PUNCT
fcis-6027	181	46	[	[	PUNCT
fcis-6027	181	47	,	,	PUNCT
fcis-6027	181	48	]	]	PUNCT
fcis-6027	181	49	)	)	PUNCT
fcis-6027	181	50	tanh	tanh	NOUN
fcis-6027	181	51	(	(	PUNCT
fcis-6027	181	52	[	[	PUNCT
fcis-6027	181	53	,	,	PUNCT
fcis-6027	181	54	]	]	PUNCT
fcis-6027	181	55	)	)	PUNCT
fcis-6027	182	1	t	t	PROPN
fcis-6027	182	2	t	t	PROPN
fcis-6027	182	3	t	t	PROPN
fcis-6027	182	4	t	t	PROPN
fcis-6027	182	5	t	t	PROPN
fcis-6027	182	6	t	t	PROPN
fcis-6027	182	7	c	c	PROPN
fcis-6027	182	8	t	t	PROPN
fcis-6027	182	9	t	t	X
fcis-6027	182	10	c	c	NOUN
fcis-6027	183	1	i	i	PRON
fcis-6027	183	2	w	w	PROPN
fcis-6027	183	3	h	h	NOUN
fcis-6027	183	4	x	x	X
fcis-6027	183	5	b	b	X
fcis-6027	183	6	c	c	NOUN
fcis-6027	183	7	w	w	PROPN
fcis-6027	183	8	h	h	NOUN
fcis-6027	183	9	x	x	X
fcis-6027	183	10	b	b	X
fcis-6027	183	11			PROPN
fcis-6027	183	12	−	−	NOUN
fcis-6027	183	13	−	−	NOUN
fcis-6027	183	14	=	=	SYM
fcis-6027	183	15			PROPN
fcis-6027	183	16	+	+	CCONJ
fcis-6027	183	17	=	=	PUNCT
fcis-6027	183	18			PROPN
fcis-6027	183	19	+	+	NUM
fcis-6027	183	20	～	～	X
fcis-6027	183	21	(	(	PUNCT
fcis-6027	183	22	22	22	NUM
fcis-6027	183	23	)	)	PUNCT
fcis-6027	183	24	the	the	DET
fcis-6027	183	25	third	third	ADJ
fcis-6027	183	26	step	step	NOUN
fcis-6027	183	27	in	in	ADP
fcis-6027	183	28	the	the	DET
fcis-6027	183	29	lstm	lstm	NOUN
fcis-6027	183	30	is	be	AUX
fcis-6027	183	31	to	to	PART
fcis-6027	183	32	update	update	VERB
fcis-6027	183	33	the	the	DET
fcis-6027	183	34	cell	cell	NOUN
fcis-6027	183	35	state	state	NOUN
fcis-6027	183	36	by	by	ADP
fcis-6027	183	37	updating	update	VERB
fcis-6027	183	38	it	it	PRON
fcis-6027	183	39	to	to	ADP
fcis-6027	183	40	,	,	PUNCT
fcis-6027	183	41	with	with	ADP
fcis-6027	183	42	the	the	DET
fcis-6027	183	43	following	follow	VERB
fcis-6027	183	44	expression	expression	NOUN
fcis-6027	183	45	:	:	PUNCT
fcis-6027	183	46	1	1	NUM
fcis-6027	183	47	t	t	NOUN
fcis-6027	183	48	t	t	PROPN
fcis-6027	183	49	t	t	PROPN
fcis-6027	183	50	t	t	PROPN
fcis-6027	184	1	tc	tc	NOUN
fcis-6027	184	2	f	f	PROPN
fcis-6027	185	1	c	c	NOUN
fcis-6027	185	2	i	i	PRON
fcis-6027	185	3	c−=	c−=	PROPN
fcis-6027	186	1	+	+	CCONJ
fcis-6027	186	2	～	～	X
fcis-6027	186	3	(	(	PUNCT
fcis-6027	186	4	23	23	NUM
fcis-6027	186	5	)	)	PUNCT
fcis-6027	186	6	the	the	DET
fcis-6027	186	7	fourth	fourth	ADJ
fcis-6027	186	8	step	step	NOUN
fcis-6027	186	9	in	in	ADP
fcis-6027	186	10	the	the	DET
fcis-6027	186	11	lstm	lstm	NOUN
fcis-6027	186	12	is	be	AUX
fcis-6027	186	13	to	to	PART
fcis-6027	186	14	output	output	VERB
fcis-6027	186	15	the	the	DET
fcis-6027	186	16	information	information	NOUN
fcis-6027	186	17	,	,	PUNCT
fcis-6027	186	18	which	which	PRON
fcis-6027	186	19	needs	need	VERB
fcis-6027	186	20	to	to	PART
fcis-6027	186	21	be	be	AUX
fcis-6027	186	22	filtered	filter	VERB
fcis-6027	186	23	before	before	ADP
fcis-6027	186	24	outputting	outputting	NOUN
fcis-6027	186	25	,	,	PUNCT
fcis-6027	186	26	and	and	CCONJ
fcis-6027	186	27	its	its	PRON
fcis-6027	186	28	algorithm	algorithm	NOUN
fcis-6027	186	29	expression	expression	NOUN
fcis-6027	186	30	is	be	AUX
fcis-6027	186	31	as	as	SCONJ
fcis-6027	186	32	follows	follow	VERB
fcis-6027	186	33	:	:	PUNCT
fcis-6027	187	1	1	1	NUM
fcis-6027	187	2	(	(	PUNCT
fcis-6027	187	3	[	[	PUNCT
fcis-6027	187	4	,	,	PUNCT
fcis-6027	187	5	]	]	PUNCT
fcis-6027	187	6	)	)	PUNCT
fcis-6027	187	7	tanh	tanh	NOUN
fcis-6027	187	8	(	(	PUNCT
fcis-6027	187	9	)	)	PUNCT
fcis-6027	187	10	t	t	NOUN
fcis-6027	187	11	o	o	X
fcis-6027	188	1	t	t	NOUN
fcis-6027	188	2	t	t	X
fcis-6027	189	1	o	o	X
fcis-6027	189	2	t	t	NOUN
fcis-6027	189	3	t	t	X
fcis-6027	189	4	t	t	X
fcis-6027	189	5	o	o	X
fcis-6027	189	6	w	w	NOUN
fcis-6027	189	7	h	h	NOUN
fcis-6027	190	1	x	x	X
fcis-6027	190	2	b	b	NOUN
fcis-6027	190	3	h	h	NOUN
fcis-6027	191	1	o	o	NOUN
fcis-6027	191	2	c	c	X
fcis-6027	191	3			PROPN
fcis-6027	191	4	−=	−=	ADJ
fcis-6027	191	5			PROPN
fcis-6027	191	6	+	+	NUM
fcis-6027	191	7	=	=	SYM
fcis-6027	191	8	(	(	PUNCT
fcis-6027	191	9	24	24	NUM
fcis-6027	191	10	)	)	PUNCT
fcis-6027	191	11	where	where	SCONJ
fcis-6027	191	12	,	,	PUNCT
fcis-6027	191	13	x	x	X
fcis-6027	191	14	is	be	AUX
fcis-6027	191	15	the	the	DET
fcis-6027	191	16	input	input	NOUN
fcis-6027	191	17	vector	vector	NOUN
fcis-6027	191	18	of	of	ADP
fcis-6027	191	19	the	the	DET
fcis-6027	191	20	lstm	lstm	NOUN
fcis-6027	191	21	cell	cell	NOUN
fcis-6027	191	22	;	;	PUNCT
fcis-6027	191	23	h	h	NOUN
fcis-6027	191	24	is	be	AUX
fcis-6027	191	25	the	the	DET
fcis-6027	191	26	output	output	NOUN
fcis-6027	191	27	vector	vector	NOUN
fcis-6027	191	28	of	of	ADP
fcis-6027	191	29	the	the	DET
fcis-6027	191	30	cell	cell	NOUN
fcis-6027	191	31	;	;	PUNCT
fcis-6027	191	32	f	f	X
fcis-6027	191	33	,	,	PUNCT
fcis-6027	191	34	i	i	PRON
fcis-6027	191	35	,	,	PUNCT
fcis-6027	191	36	o	o	PROPN
fcis-6027	191	37	denote	denote	VERB
fcis-6027	191	38	the	the	DET
fcis-6027	191	39	forgetting	forget	VERB
fcis-6027	191	40	gate	gate	NOUN
fcis-6027	191	41	,	,	PUNCT
fcis-6027	191	42	input	input	NOUN
fcis-6027	191	43	guys	guy	NOUN
fcis-6027	191	44	,	,	PUNCT
fcis-6027	191	45	and	and	CCONJ
fcis-6027	191	46	output	output	NOUN
fcis-6027	191	47	gate	gate	NOUN
fcis-6027	191	48	,	,	PUNCT
fcis-6027	191	49	respectively	respectively	ADV
fcis-6027	191	50	;	;	PUNCT
fcis-6027	191	51	c	c	PROPN
fcis-6027	191	52	denotes	denote	VERB
fcis-6027	191	53	the	the	DET
fcis-6027	191	54	cell	cell	NOUN
fcis-6027	191	55	state	state	NOUN
fcis-6027	191	56	;	;	PUNCT
fcis-6027	191	57	the	the	DET
fcis-6027	191	58	subscript	subscript	NOUN
fcis-6027	191	59	t	t	PROPN
fcis-6027	191	60	denotes	denote	VERB
fcis-6027	191	61	the	the	DET
fcis-6027	191	62	current	current	ADJ
fcis-6027	191	63	moment	moment	NOUN
fcis-6027	191	64	;	;	PUNCT
fcis-6027	191	65			X
fcis-6027	191	66	,	,	PUNCT
fcis-6027	191	67	tanh	tanh	PROPN
fcis-6027	191	68	are	be	AUX
fcis-6027	191	69	the	the	DET
fcis-6027	191	70	activation	activation	NOUN
fcis-6027	191	71	functions	function	NOUN
fcis-6027	191	72	of	of	ADP
fcis-6027	191	73	sigmoid	sigmoid	NOUN
fcis-6027	191	74	,	,	PUNCT
fcis-6027	191	75	tanh	tanh	NOUN
fcis-6027	191	76	,	,	PUNCT
fcis-6027	191	77	respectively	respectively	ADV
fcis-6027	191	78	;	;	PUNCT
fcis-6027	191	79	w	w	NOUN
fcis-6027	191	80	and	and	CCONJ
fcis-6027	191	81	b	b	PROPN
fcis-6027	191	82	denote	denote	VERB
fcis-6027	191	83	the	the	DET
fcis-6027	191	84	weight	weight	NOUN
fcis-6027	191	85	and	and	CCONJ
fcis-6027	191	86	bias	bias	NOUN
fcis-6027	191	87	matrix	matrix	NOUN
fcis-6027	191	88	,	,	PUNCT
fcis-6027	191	89	respectively	respectively	ADV
fcis-6027	191	90	.	.	PUNCT
fcis-6027	192	1	the	the	DET
fcis-6027	192	2	key	key	NOUN
fcis-6027	192	3	to	to	ADP
fcis-6027	192	4	the	the	DET
fcis-6027	192	5	lstm	lstm	NOUN
fcis-6027	192	6	is	be	AUX
fcis-6027	192	7	the	the	DET
fcis-6027	192	8	cell	cell	NOUN
fcis-6027	192	9	state	state	NOUN
fcis-6027	192	10	c	c	NOUN
fcis-6027	192	11	,	,	PUNCT
fcis-6027	192	12	which	which	PRON
fcis-6027	192	13	will	will	AUX
fcis-6027	192	14	keep	keep	VERB
fcis-6027	192	15	the	the	DET
fcis-6027	192	16	cell	cell	NOUN
fcis-6027	192	17	state	state	NOUN
fcis-6027	192	18	in	in	ADP
fcis-6027	192	19	memory	memory	NOUN
fcis-6027	192	20	at	at	ADP
fcis-6027	192	21	moment	moment	NOUN
fcis-6027	192	22	t	t	NOUN
fcis-6027	192	23	and	and	CCONJ
fcis-6027	192	24	is	be	AUX
fcis-6027	192	25	regulated	regulate	VERB
fcis-6027	192	26	by	by	ADP
fcis-6027	192	27	the	the	DET
fcis-6027	192	28	forgetting	forget	VERB
fcis-6027	192	29	gate	gate	NOUN
fcis-6027	193	1	tf	tf	X
fcis-6027	193	2	and	and	CCONJ
fcis-6027	193	3	the	the	DET
fcis-6027	193	4	input	input	NOUN
fcis-6027	193	5	gate	gate	NOUN
fcis-6027	193	6	ti	ti	PROPN
fcis-6027	193	7	.the	.the	DET
fcis-6027	193	8	role	role	NOUN
fcis-6027	193	9	of	of	ADP
fcis-6027	193	10	the	the	DET
fcis-6027	193	11	forgetting	forget	VERB
fcis-6027	193	12	gate	gate	NOUN
fcis-6027	193	13	is	be	AUX
fcis-6027	193	14	to	to	PART
fcis-6027	193	15	let	let	VERB
fcis-6027	193	16	the	the	DET
fcis-6027	193	17	cell	cell	NOUN
fcis-6027	193	18	remember	remember	VERB
fcis-6027	193	19	or	or	CCONJ
fcis-6027	193	20	forget	forget	VERB
fcis-6027	193	21	its	its	PRON
fcis-6027	193	22	previous	previous	ADJ
fcis-6027	193	23	state	state	NOUN
fcis-6027	193	24	-1tc	-1tc	NOUN
fcis-6027	193	25	,	,	PUNCT
fcis-6027	193	26	the	the	DET
fcis-6027	193	27	role	role	NOUN
fcis-6027	193	28	of	of	ADP
fcis-6027	193	29	the	the	DET
fcis-6027	193	30	input	input	NOUN
fcis-6027	193	31	gate	gate	NOUN
fcis-6027	193	32	is	be	AUX
fcis-6027	193	33	to	to	PART
fcis-6027	193	34	allow	allow	VERB
fcis-6027	193	35	or	or	CCONJ
fcis-6027	193	36	prevent	prevent	VERB
fcis-6027	193	37	the	the	DET
fcis-6027	193	38	incoming	incoming	ADJ
fcis-6027	193	39	signal	signal	NOUN
fcis-6027	193	40	from	from	ADP
fcis-6027	193	41	updating	update	VERB
fcis-6027	193	42	the	the	DET
fcis-6027	193	43	cell	cell	NOUN
fcis-6027	193	44	state	state	NOUN
fcis-6027	193	45	,	,	PUNCT
fcis-6027	193	46	and	and	CCONJ
fcis-6027	193	47	the	the	DET
fcis-6027	193	48	role	role	NOUN
fcis-6027	193	49	of	of	ADP
fcis-6027	193	50	the	the	DET
fcis-6027	193	51	output	output	NOUN
fcis-6027	193	52	gate	gate	NOUN
fcis-6027	193	53	is	be	AUX
fcis-6027	193	54	to	to	PART
fcis-6027	193	55	control	control	VERB
fcis-6027	193	56	the	the	DET
fcis-6027	193	57	cell	cell	NOUN
fcis-6027	193	58	state	state	NOUN
fcis-6027	193	59	c	c	NOUN
fcis-6027	193	60	input	input	NOUN
fcis-6027	193	61	and	and	CCONJ
fcis-6027	193	62	transmission	transmission	NOUN
fcis-6027	193	63	to	to	ADP
fcis-6027	193	64	the	the	DET
fcis-6027	193	65	next	next	ADJ
fcis-6027	193	66	cell	cell	NOUN
fcis-6027	193	67	.	.	PUNCT
fcis-6027	194	1	the	the	DET
fcis-6027	194	2	internal	internal	ADJ
fcis-6027	194	3	structure	structure	NOUN
fcis-6027	194	4	of	of	ADP
fcis-6027	194	5	the	the	DET
fcis-6027	194	6	lstm	lstm	NOUN
fcis-6027	194	7	cell	cell	NOUN
fcis-6027	194	8	is	be	AUX
fcis-6027	194	9	composed	compose	VERB
fcis-6027	194	10	of	of	ADP
fcis-6027	194	11	multiple	multiple	ADJ
fcis-6027	194	12	perceptrons	perceptron	NOUN
fcis-6027	194	13	,	,	PUNCT
fcis-6027	194	14	and	and	CCONJ
fcis-6027	194	15	the	the	DET
fcis-6027	194	16	most	most	ADV
fcis-6027	194	17	common	common	ADJ
fcis-6027	194	18	training	training	NOUN
fcis-6027	194	19	method	method	NOUN
fcis-6027	194	20	is	be	AUX
fcis-6027	194	21	the	the	DET
fcis-6027	194	22	backpropagation	backpropagation	NOUN
fcis-6027	194	23	method	method	NOUN
fcis-6027	194	24	.	.	PUNCT
fcis-6027	195	1	3	3	X
fcis-6027	195	2	.	.	NOUN
fcis-6027	195	3	model	model	NOUN
fcis-6027	195	4	construction	construction	NOUN
fcis-6027	195	5	and	and	CCONJ
fcis-6027	195	6	effect	effect	NOUN
fcis-6027	195	7	evaluation	evaluation	NOUN
fcis-6027	195	8	in	in	ADP
fcis-6027	195	9	this	this	DET
fcis-6027	195	10	paper	paper	NOUN
fcis-6027	195	11	,	,	PUNCT
fcis-6027	195	12	the	the	DET
fcis-6027	195	13	opening	opening	NOUN
fcis-6027	195	14	price	price	NOUN
fcis-6027	195	15	,	,	PUNCT
fcis-6027	195	16	closing	closing	NOUN
fcis-6027	195	17	price	price	NOUN
fcis-6027	195	18	,	,	PUNCT
fcis-6027	195	19	maximum	maximum	ADJ
fcis-6027	195	20	price	price	NOUN
fcis-6027	195	21	,	,	PUNCT
fcis-6027	195	22	minimum	minimum	ADJ
fcis-6027	195	23	price	price	NOUN
fcis-6027	195	24	,	,	PUNCT
fcis-6027	195	25	volume	volume	NOUN
fcis-6027	195	26	,	,	PUNCT
fcis-6027	195	27	and	and	CCONJ
fcis-6027	195	28	turnover	turnover	NOUN
fcis-6027	195	29	of	of	ADP
fcis-6027	195	30	the	the	DET
fcis-6027	195	31	csi	csi	ADJ
fcis-6027	195	32	300	300	NUM
fcis-6027	195	33	stock	stock	NOUN
fcis-6027	195	34	index	index	NOUN
fcis-6027	195	35	futures	future	NOUN
fcis-6027	195	36	data	datum	NOUN
fcis-6027	195	37	from	from	ADP
fcis-6027	195	38	january	january	PROPN
fcis-6027	195	39	4	4	NUM
fcis-6027	195	40	,	,	PUNCT
fcis-6027	195	41	2002	2002	NUM
fcis-6027	195	42	to	to	ADP
fcis-6027	195	43	november	november	PROPN
fcis-6027	195	44	30	30	NUM
fcis-6027	195	45	,	,	PUNCT
fcis-6027	195	46	2022	2022	NUM
fcis-6027	195	47	are	be	AUX
fcis-6027	195	48	selected	select	VERB
fcis-6027	195	49	as	as	SCONJ
fcis-6027	195	50	the	the	DET
fcis-6027	195	51	data	datum	NOUN
fcis-6027	195	52	set	set	VERB
fcis-6027	195	53	,	,	PUNCT
fcis-6027	195	54	and	and	CCONJ
fcis-6027	195	55	the	the	DET
fcis-6027	195	56	5073	5073	NUM
fcis-6027	195	57	-	-	PUNCT
fcis-6027	195	58	trading	trading	NOUN
fcis-6027	195	59	data	datum	NOUN
fcis-6027	195	60	are	be	AUX
fcis-6027	195	61	divided	divide	VERB
fcis-6027	195	62	into	into	ADP
fcis-6027	195	63	the	the	DET
fcis-6027	195	64	training	training	NOUN
fcis-6027	195	65	and	and	CCONJ
fcis-6027	195	66	testing	testing	NOUN
fcis-6027	195	67	sets	set	NOUN
fcis-6027	195	68	in	in	ADP
fcis-6027	195	69	a	a	DET
fcis-6027	195	70	ratio	ratio	NOUN
fcis-6027	195	71	of	of	ADP
fcis-6027	195	72	about	about	ADP
fcis-6027	195	73	9.5:0.5	9.5:0.5	NOUN
fcis-6027	195	74	.	.	PUNCT
fcis-6027	196	1	the	the	DET
fcis-6027	196	2	window	window	NOUN
fcis-6027	196	3	length	length	NOUN
fcis-6027	196	4	of	of	ADP
fcis-6027	196	5	the	the	DET
fcis-6027	196	6	training	training	NOUN
fcis-6027	196	7	data	datum	NOUN
fcis-6027	196	8	in	in	ADP
fcis-6027	196	9	this	this	DET
fcis-6027	196	10	paper	paper	NOUN
fcis-6027	196	11	is	be	AUX
fcis-6027	196	12	chosen	choose	VERB
fcis-6027	196	13	as	as	ADP
fcis-6027	196	14	the	the	DET
fcis-6027	196	15	closing	closing	NOUN
fcis-6027	196	16	price	price	NOUN
fcis-6027	196	17	series	series	NOUN
fcis-6027	196	18	,	,	PUNCT
fcis-6027	196	19	and	and	CCONJ
fcis-6027	196	20	the	the	DET
fcis-6027	196	21	default	default	NOUN
fcis-6027	196	22	lag	lag	NOUN
fcis-6027	196	23	order	order	NOUN
fcis-6027	196	24	of	of	ADP
fcis-6027	196	25	25	25	NUM
fcis-6027	196	26	calculated	calculate	VERB
fcis-6027	196	27	by	by	ADP
fcis-6027	196	28	the	the	DET
fcis-6027	196	29	adf	adf	PROPN
fcis-6027	196	30	test	test	NOUN
fcis-6027	196	31	aic	aic	PROPN
fcis-6027	196	32	minimum	minimum	NOUN
fcis-6027	196	33	criterion	criterion	NOUN
fcis-6027	196	34	,	,	PUNCT
fcis-6027	196	35	i.e.	i.e.	X
fcis-6027	196	36	,	,	PUNCT
fcis-6027	196	37	the	the	DET
fcis-6027	196	38	opening	opening	NOUN
fcis-6027	196	39	price	price	NOUN
fcis-6027	196	40	,	,	PUNCT
fcis-6027	196	41	closing	closing	NOUN
fcis-6027	196	42	price	price	NOUN
fcis-6027	196	43	,	,	PUNCT
fcis-6027	196	44	high	high	ADJ
fcis-6027	196	45	price	price	NOUN
fcis-6027	196	46	,	,	PUNCT
fcis-6027	196	47	low	low	ADJ
fcis-6027	196	48	price	price	NOUN
fcis-6027	196	49	,	,	PUNCT
fcis-6027	196	50	volume	volume	NOUN
fcis-6027	196	51	,	,	PUNCT
fcis-6027	196	52	and	and	CCONJ
fcis-6027	196	53	turnover	turnover	NOUN
fcis-6027	196	54	of	of	ADP
fcis-6027	196	55	the	the	DET
fcis-6027	196	56	past	past	ADJ
fcis-6027	196	57	25	25	NUM
fcis-6027	196	58	days	day	NOUN
fcis-6027	196	59	are	be	AUX
fcis-6027	196	60	used	use	VERB
fcis-6027	196	61	as	as	ADP
fcis-6027	196	62	input	input	NOUN
fcis-6027	196	63	features	feature	NOUN
fcis-6027	196	64	,	,	PUNCT
fcis-6027	196	65	and	and	CCONJ
fcis-6027	196	66	the	the	DET
fcis-6027	196	67	closing	closing	NOUN
fcis-6027	196	68	price	price	NOUN
fcis-6027	196	69	of	of	ADP
fcis-6027	196	70	the	the	DET
fcis-6027	196	71	next	next	ADJ
fcis-6027	196	72	1	1	NUM
fcis-6027	196	73	day	day	NOUN
fcis-6027	196	74	is	be	AUX
fcis-6027	196	75	used	use	VERB
fcis-6027	196	76	as	as	ADP
fcis-6027	196	77	the	the	DET
fcis-6027	196	78	label	label	NOUN
fcis-6027	196	79	for	for	ADP
fcis-6027	196	80	model	model	NOUN
fcis-6027	196	81	training	training	NOUN
fcis-6027	196	82	.	.	PUNCT
fcis-6027	197	1	since	since	SCONJ
fcis-6027	197	2	the	the	DET
fcis-6027	197	3	input	input	NOUN
fcis-6027	197	4	indicators	indicator	NOUN
fcis-6027	197	5	such	such	ADJ
fcis-6027	197	6	as	as	ADP
fcis-6027	197	7	opening	opening	NOUN
fcis-6027	197	8	price	price	NOUN
fcis-6027	197	9	,	,	PUNCT
fcis-6027	197	10	closing	closing	NOUN
fcis-6027	197	11	price	price	NOUN
fcis-6027	197	12	and	and	CCONJ
fcis-6027	197	13	volume	volume	NOUN
fcis-6027	197	14	have	have	VERB
fcis-6027	197	15	different	different	ADJ
fcis-6027	197	16	quantiles	quantile	NOUN
fcis-6027	197	17	,	,	PUNCT
fcis-6027	197	18	the	the	DET
fcis-6027	197	19	difference	difference	NOUN
fcis-6027	197	20	in	in	ADP
fcis-6027	197	21	order	order	NOUN
fcis-6027	197	22	of	of	ADP
fcis-6027	197	23	magnitude	magnitude	NOUN
fcis-6027	197	24	will	will	AUX
fcis-6027	197	25	adversely	adversely	ADV
fcis-6027	197	26	affect	affect	VERB
fcis-6027	197	27	the	the	DET
fcis-6027	197	28	convergence	convergence	NOUN
fcis-6027	197	29	of	of	ADP
fcis-6027	197	30	the	the	DET
fcis-6027	197	31	prediction	prediction	NOUN
fcis-6027	197	32	model	model	NOUN
fcis-6027	197	33	,	,	PUNCT
fcis-6027	197	34	so	so	SCONJ
fcis-6027	197	35	it	it	PRON
fcis-6027	197	36	is	be	AUX
fcis-6027	197	37	necessary	necessary	ADJ
fcis-6027	197	38	to	to	PART
fcis-6027	197	39	normalize	normalize	VERB
fcis-6027	197	40	each	each	DET
fcis-6027	197	41	input	input	NOUN
fcis-6027	197	42	indicator	indicator	NOUN
fcis-6027	197	43	in	in	ADP
fcis-6027	197	44	the	the	DET
fcis-6027	197	45	original	original	ADJ
fcis-6027	197	46	data	datum	NOUN
fcis-6027	197	47	,	,	PUNCT
fcis-6027	197	48	with	with	ADP
fcis-6027	197	49	reference	reference	NOUN
fcis-6027	197	50	to	to	ADP
fcis-6027	197	51	the	the	DET
fcis-6027	197	52	commonly	commonly	ADV
fcis-6027	197	53	used	use	VERB
fcis-6027	197	54	normalization	normalization	NOUN
fcis-6027	197	55	process	process	NOUN
fcis-6027	197	56	as	as	SCONJ
fcis-6027	197	57	follows	follow	VERB
fcis-6027	197	58	:	:	PUNCT
fcis-6027	197	59	75	75	NUM
fcis-6027	197	60	min	min	NOUN
fcis-6027	197	61	(	(	PUNCT
fcis-6027	197	62	)	)	PUNCT
fcis-6027	197	63	max	max	PROPN
fcis-6027	197	64	(	(	PUNCT
fcis-6027	197	65	)	)	PUNCT
fcis-6027	197	66	min	min	NOUN
fcis-6027	197	67	(	(	PUNCT
fcis-6027	197	68	)	)	PUNCT
fcis-6027	197	69	i	i	PRON
fcis-6027	197	70	i	i	PRON
fcis-6027	197	71	i	i	PRON
fcis-6027	197	72	i	i	PRON
fcis-6027	197	73	i	i	VERB
fcis-6027	197	74	x	x	VERB
fcis-6027	197	75	x	x	PUNCT
fcis-6027	197	76	x	x	PUNCT
fcis-6027	197	77	x	x	PUNCT
fcis-6027	197	78	x	x	X
fcis-6027	197	79	−	−	NOUN
fcis-6027	197	80	=	=	SYM
fcis-6027	197	81	−	−	PROPN
fcis-6027	197	82	(	(	PUNCT
fcis-6027	197	83	25	25	NUM
fcis-6027	197	84	)	)	PUNCT
fcis-6027	198	1	where	where	SCONJ
fcis-6027	198	2	,	,	PUNCT
fcis-6027	198	3	ix	ix	ADV
fcis-6027	198	4	is	be	AUX
fcis-6027	198	5	the	the	DET
fcis-6027	198	6	input	input	NOUN
fcis-6027	198	7	data	datum	NOUN
fcis-6027	198	8	after	after	ADP
fcis-6027	198	9	normalization	normalization	NOUN
fcis-6027	198	10	,	,	PUNCT
fcis-6027	198	11	max	max	PROPN
fcis-6027	198	12	(	(	PUNCT
fcis-6027	198	13	)	)	PUNCT
fcis-6027	198	14	ix	ix	ADP
fcis-6027	198	15	and	and	CCONJ
fcis-6027	198	16	min	min	PROPN
fcis-6027	198	17	(	(	PUNCT
fcis-6027	198	18	)	)	PUNCT
fcis-6027	198	19	ix	ix	VERB
fcis-6027	198	20	represents	represent	VERB
fcis-6027	198	21	the	the	DET
fcis-6027	198	22	maximum	maximum	ADJ
fcis-6027	198	23	and	and	CCONJ
fcis-6027	198	24	minimum	minimum	ADJ
fcis-6027	198	25	values	value	NOUN
fcis-6027	198	26	of	of	ADP
fcis-6027	198	27	the	the	DET
fcis-6027	198	28	index	index	NOUN
fcis-6027	198	29	,	,	PUNCT
fcis-6027	198	30	respectively	respectively	ADV
fcis-6027	198	31	.	.	PUNCT
fcis-6027	199	1	in	in	ADP
fcis-6027	199	2	order	order	NOUN
fcis-6027	199	3	to	to	PART
fcis-6027	199	4	keep	keep	VERB
fcis-6027	199	5	the	the	DET
fcis-6027	199	6	input	input	NOUN
fcis-6027	199	7	data	datum	NOUN
fcis-6027	199	8	and	and	CCONJ
fcis-6027	199	9	the	the	DET
fcis-6027	199	10	output	output	NOUN
fcis-6027	199	11	data	datum	NOUN
fcis-6027	199	12	in	in	ADP
fcis-6027	199	13	the	the	DET
fcis-6027	199	14	same	same	ADJ
fcis-6027	199	15	scale	scale	NOUN
fcis-6027	199	16	,	,	PUNCT
fcis-6027	199	17	and	and	CCONJ
fcis-6027	199	18	to	to	PART
fcis-6027	199	19	evaluate	evaluate	VERB
fcis-6027	199	20	the	the	DET
fcis-6027	199	21	model	model	NOUN
fcis-6027	199	22	prediction	prediction	NOUN
fcis-6027	199	23	ability	ability	NOUN
fcis-6027	199	24	more	more	ADV
fcis-6027	199	25	realistically	realistically	ADV
fcis-6027	199	26	and	and	CCONJ
fcis-6027	199	27	objectively	objectively	ADV
fcis-6027	199	28	by	by	ADP
fcis-6027	199	29	using	use	VERB
fcis-6027	199	30	the	the	DET
fcis-6027	199	31	model	model	NOUN
fcis-6027	199	32	evaluation	evaluation	NOUN
fcis-6027	199	33	index	index	NOUN
fcis-6027	199	34	,	,	PUNCT
fcis-6027	199	35	the	the	DET
fcis-6027	199	36	output	output	NOUN
fcis-6027	199	37	data	datum	NOUN
fcis-6027	199	38	need	need	VERB
fcis-6027	199	39	to	to	PART
fcis-6027	199	40	be	be	AUX
fcis-6027	199	41	denormalized	denormalize	VERB
fcis-6027	199	42	,	,	PUNCT
fcis-6027	199	43	with	with	ADP
fcis-6027	199	44	reference	reference	NOUN
fcis-6027	199	45	to	to	ADP
fcis-6027	199	46	the	the	DET
fcis-6027	199	47	common	common	ADJ
fcis-6027	199	48	denormalization	denormalization	NOUN
fcis-6027	199	49	processing	processing	NOUN
fcis-6027	199	50	as	as	SCONJ
fcis-6027	199	51	follows	follow	VERB
fcis-6027	199	52	:	:	PUNCT
fcis-6027	199	53	(	(	PUNCT
fcis-6027	199	54	max	max	PROPN
fcis-6027	199	55	(	(	PUNCT
fcis-6027	199	56	)	)	PUNCT
fcis-6027	199	57	min	min	NOUN
fcis-6027	199	58	(	(	PUNCT
fcis-6027	199	59	)	)	PUNCT
fcis-6027	199	60	)	)	PUNCT
fcis-6027	199	61	min	min	PROPN
fcis-6027	199	62	(	(	PUNCT
fcis-6027	199	63	)	)	PUNCT
fcis-6027	199	64	i	i	PRON
fcis-6027	200	1	i	i	PRON
fcis-6027	201	1	i	i	PRON
fcis-6027	202	1	i	i	PRON
fcis-6027	202	2	iy	iy	INTJ
fcis-6027	203	1	y	y	INTJ
fcis-6027	203	2	x	x	PUNCT
fcis-6027	203	3	x	x	X
fcis-6027	203	4	x=	x=	PROPN
fcis-6027	203	5			PROPN
fcis-6027	203	6	−	−	PROPN
fcis-6027	204	1	+	+	CCONJ
fcis-6027	204	2	(	(	PUNCT
fcis-6027	204	3	26	26	NUM
fcis-6027	204	4	)	)	PUNCT
fcis-6027	204	5	where	where	SCONJ
fcis-6027	204	6	,	,	PUNCT
fcis-6027	204	7	iy	iy	PROPN
fcis-6027	204	8	is	be	AUX
fcis-6027	204	9	the	the	DET
fcis-6027	204	10	closing	closing	NOUN
fcis-6027	204	11	price	price	NOUN
fcis-6027	204	12	forecast	forecast	NOUN
fcis-6027	204	13	after	after	ADP
fcis-6027	204	14	inverse	inverse	ADJ
fcis-6027	204	15	normalization	normalization	NOUN
fcis-6027	204	16	and	and	CCONJ
fcis-6027	204	17	iy	iy	PROPN
fcis-6027	204	18	is	be	AUX
fcis-6027	204	19	the	the	DET
fcis-6027	204	20	closing	closing	NOUN
fcis-6027	204	21	price	price	NOUN
fcis-6027	204	22	forecast	forecast	NOUN
fcis-6027	204	23	from	from	ADP
fcis-6027	204	24	the	the	DET
fcis-6027	204	25	model	model	NOUN
fcis-6027	204	26	before	before	ADP
fcis-6027	204	27	normalization	normalization	NOUN
fcis-6027	204	28	.	.	PUNCT
fcis-6027	205	1	model	model	NOUN
fcis-6027	205	2	evaluation	evaluation	NOUN
fcis-6027	205	3	metrics	metric	NOUN
fcis-6027	205	4	referring	refer	VERB
fcis-6027	205	5	to	to	ADP
fcis-6027	205	6	the	the	DET
fcis-6027	205	7	experience	experience	NOUN
fcis-6027	205	8	of	of	ADP
fcis-6027	205	9	the	the	DET
fcis-6027	205	10	time	time	NOUN
fcis-6027	205	11	-	-	PUNCT
fcis-6027	205	12	series	series	NOUN
fcis-6027	205	13	data	data	PROPN
fcis-6027	205	14	regression	regression	NOUN
fcis-6027	205	15	algorithm	algorithm	NOUN
fcis-6027	205	16	forecasting	forecasting	NOUN
fcis-6027	205	17	study	study	NOUN
fcis-6027	205	18	,	,	PUNCT
fcis-6027	205	19	2r	2r	NUM
fcis-6027	205	20	,	,	PUNCT
fcis-6027	205	21	mean	mean	ADJ
fcis-6027	205	22	square	square	ADJ
fcis-6027	205	23	error	error	NOUN
fcis-6027	205	24	(	(	PUNCT
fcis-6027	205	25	mse	mse	NOUN
fcis-6027	205	26	)	)	PUNCT
fcis-6027	205	27	,	,	PUNCT
fcis-6027	205	28	mean	mean	VERB
fcis-6027	205	29	absolute	absolute	ADJ
fcis-6027	205	30	error	error	NOUN
fcis-6027	205	31	(	(	PUNCT
fcis-6027	205	32	mae	mae	PROPN
fcis-6027	205	33	)	)	PUNCT
fcis-6027	205	34	,	,	PUNCT
fcis-6027	205	35	and	and	CCONJ
fcis-6027	205	36	mean	mean	VERB
fcis-6027	205	37	absolute	absolute	ADJ
fcis-6027	205	38	percentage	percentage	NOUN
fcis-6027	205	39	error	error	NOUN
fcis-6027	205	40	(	(	PUNCT
fcis-6027	205	41	mape	mape	NOUN
fcis-6027	205	42	)	)	PUNCT
fcis-6027	205	43	were	be	AUX
fcis-6027	205	44	selected	select	VERB
fcis-6027	205	45	as	as	ADP
fcis-6027	205	46	the	the	DET
fcis-6027	205	47	model	model	NOUN
fcis-6027	205	48	evaluation	evaluation	NOUN
fcis-6027	205	49	metrics	metric	NOUN
fcis-6027	205	50	:	:	PUNCT
fcis-6027	205	51	2	2	NUM
fcis-6027	205	52	2	2	NUM
fcis-6027	205	53	2	2	NUM
fcis-6027	205	54	1	1	NUM
fcis-6027	205	55	(	(	PUNCT
fcis-6027	205	56	)	)	PUNCT
fcis-6027	205	57	(	(	PUNCT
fcis-6027	205	58	)	)	PUNCT
fcis-6027	206	1	n	n	CCONJ
fcis-6027	206	2	i	i	PRON
fcis-6027	206	3	ii	ii	VERB
fcis-6027	207	1	i	i	PRON
fcis-6027	207	2	i	i	PRON
fcis-6027	208	1	r	r	VERB
fcis-6027	208	2	y	y	VERB
fcis-6027	208	3	y	y	PROPN
fcis-6027	208	4	y	y	PROPN
fcis-6027	208	5	y	y	PROPN
fcis-6027	208	6	=	=	PUNCT
fcis-6027	208	7	=	=	PUNCT
fcis-6027	209	1	−	−	PROPN
fcis-6027	209	2	−	−	NOUN
fcis-6027	209	3	(	(	PUNCT
fcis-6027	209	4	27	27	NUM
fcis-6027	209	5	)	)	SYM
fcis-6027	209	6	2	2	NUM
fcis-6027	209	7	1	1	NUM
fcis-6027	209	8	1	1	NUM
fcis-6027	209	9	(	(	PUNCT
fcis-6027	209	10	)	)	PUNCT
fcis-6027	209	11	n	n	CCONJ
fcis-6027	210	1	i	i	PRON
fcis-6027	210	2	i	i	PRON
fcis-6027	211	1	i	i	PRON
fcis-6027	211	2	rmse	rmse	VERB
fcis-6027	212	1	y	y	PROPN
fcis-6027	212	2	y	y	PROPN
fcis-6027	212	3	n	n	NOUN
fcis-6027	212	4	=	=	SYM
fcis-6027	212	5	=	=	SYM
fcis-6027	212	6	−	−	NUM
fcis-6027	212	7	(	(	PUNCT
fcis-6027	212	8	28	28	NUM
fcis-6027	212	9	)	)	SYM
fcis-6027	212	10	1	1	NUM
fcis-6027	212	11	1	1	NUM
fcis-6027	212	12	n	n	NOUN
fcis-6027	213	1	i	i	PRON
fcis-6027	213	2	i	i	PRON
fcis-6027	214	1	i	i	PRON
fcis-6027	214	2	mae	mae	PROPN
fcis-6027	214	3	y	y	PROPN
fcis-6027	214	4	y	y	PROPN
fcis-6027	214	5	n	n	NOUN
fcis-6027	214	6	=	=	SYM
fcis-6027	214	7	=	=	SYM
fcis-6027	214	8	−	−	NOUN
fcis-6027	214	9	(	(	PUNCT
fcis-6027	214	10	29	29	NUM
fcis-6027	214	11	)	)	SYM
fcis-6027	214	12	1	1	NUM
fcis-6027	214	13	1	1	NUM
fcis-6027	214	14	100	100	NUM
fcis-6027	214	15	%	%	NOUN
fcis-6027	215	1	n	n	CCONJ
fcis-6027	215	2	i	i	PRON
fcis-6027	216	1	i	i	PRON
fcis-6027	216	2	i	i	PRON
fcis-6027	217	1	i	i	VERB
fcis-6027	217	2	y	y	PROPN
fcis-6027	217	3	y	y	PROPN
fcis-6027	217	4	mape	mape	PROPN
fcis-6027	217	5	n	n	ADV
fcis-6027	217	6	y=	y=	NUM
fcis-6027	217	7	−	−	PROPN
fcis-6027	218	1	=	=	SYM
fcis-6027	218	2			X
fcis-6027	218	3	(	(	PUNCT
fcis-6027	218	4	30	30	NUM
fcis-6027	218	5	)	)	PUNCT
fcis-6027	218	6	in	in	ADP
fcis-6027	218	7	equation	equation	NOUN
fcis-6027	218	8	(	(	PUNCT
fcis-6027	218	9	22	22	NUM
fcis-6027	218	10	)	)	PUNCT
fcis-6027	218	11	equation	equation	NOUN
fcis-6027	218	12	(	(	PUNCT
fcis-6027	218	13	25	25	NUM
fcis-6027	218	14	)	)	PUNCT
fcis-6027	218	15	,	,	PUNCT
fcis-6027	218	16	iy	iy	PROPN
fcis-6027	218	17	is	be	AUX
fcis-6027	218	18	the	the	DET
fcis-6027	218	19	closing	closing	NOUN
fcis-6027	218	20	price	price	NOUN
fcis-6027	218	21	forecast	forecast	NOUN
fcis-6027	218	22	data	datum	NOUN
fcis-6027	218	23	,	,	PUNCT
fcis-6027	218	24	iy	iy	PROPN
fcis-6027	218	25	is	be	AUX
fcis-6027	218	26	the	the	DET
fcis-6027	218	27	closing	closing	NOUN
fcis-6027	218	28	price	price	NOUN
fcis-6027	218	29	real	real	ADJ
fcis-6027	218	30	data	datum	NOUN
fcis-6027	218	31	;	;	PUNCT
fcis-6027	218	32	2r	2r	NUM
fcis-6027	218	33	indicates	indicate	VERB
fcis-6027	218	34	the	the	DET
fcis-6027	218	35	ratio	ratio	NOUN
fcis-6027	218	36	of	of	ADP
fcis-6027	218	37	the	the	DET
fcis-6027	218	38	forecast	forecast	NOUN
fcis-6027	218	39	value	value	NOUN
fcis-6027	218	40	to	to	ADP
fcis-6027	218	41	the	the	DET
fcis-6027	218	42	real	real	ADJ
fcis-6027	218	43	value	value	NOUN
fcis-6027	218	44	,	,	PUNCT
fcis-6027	218	45	the	the	PRON
fcis-6027	218	46	larger	large	ADJ
fcis-6027	218	47	the	the	DET
fcis-6027	218	48	value	value	NOUN
fcis-6027	218	49	,	,	PUNCT
fcis-6027	218	50	the	the	PRON
fcis-6027	218	51	better	well	ADJ
fcis-6027	218	52	the	the	DET
fcis-6027	218	53	model	model	NOUN
fcis-6027	218	54	performance	performance	NOUN
fcis-6027	218	55	;	;	PUNCT
fcis-6027	218	56	mae	mae	PROPN
fcis-6027	218	57	,	,	PUNCT
fcis-6027	218	58	mse	mse	PROPN
fcis-6027	218	59	,	,	PUNCT
fcis-6027	218	60	mape	mape	NOUN
fcis-6027	218	61	indicates	indicate	VERB
fcis-6027	218	62	the	the	DET
fcis-6027	218	63	forecast	forecast	NOUN
fcis-6027	218	64	deviation	deviation	NOUN
fcis-6027	218	65	from	from	ADP
fcis-6027	218	66	the	the	DET
fcis-6027	218	67	real	real	ADJ
fcis-6027	218	68	value	value	NOUN
fcis-6027	218	69	,	,	PUNCT
fcis-6027	218	70	the	the	DET
fcis-6027	218	71	smaller	small	ADJ
fcis-6027	218	72	the	the	DET
fcis-6027	218	73	value	value	NOUN
fcis-6027	218	74	,	,	PUNCT
fcis-6027	218	75	the	the	PRON
fcis-6027	218	76	better	well	ADJ
fcis-6027	218	77	the	the	DET
fcis-6027	218	78	model	model	NOUN
fcis-6027	218	79	performance	performance	NOUN
fcis-6027	218	80	.	.	PUNCT
fcis-6027	219	1	3.1	3.1	NUM
fcis-6027	219	2	.	.	PUNCT
fcis-6027	220	1	arima	arima	NOUN
fcis-6027	220	2	model	model	NOUN
fcis-6027	220	3	performance	performance	NOUN
fcis-6027	220	4	in	in	ADP
fcis-6027	220	5	the	the	DET
fcis-6027	220	6	experiment	experiment	NOUN
fcis-6027	220	7	,	,	PUNCT
fcis-6027	220	8	the	the	DET
fcis-6027	220	9	parameter	parameter	NOUN
fcis-6027	220	10	p	p	NOUN
fcis-6027	220	11	is	be	AUX
fcis-6027	220	12	set	set	VERB
fcis-6027	220	13	to	to	ADP
fcis-6027	220	14	3	3	NUM
fcis-6027	220	15	;	;	PUNCT
fcis-6027	220	16	the	the	DET
fcis-6027	220	17	integration	integration	NOUN
fcis-6027	220	18	factor	factor	NOUN
fcis-6027	220	19	q	q	NOUN
fcis-6027	220	20	is	be	AUX
fcis-6027	220	21	set	set	VERB
fcis-6027	220	22	to	to	ADP
fcis-6027	220	23	1	1	NUM
fcis-6027	220	24	;	;	PUNCT
fcis-6027	220	25	and	and	CCONJ
fcis-6027	220	26	d	d	NOUN
fcis-6027	220	27	is	be	AUX
fcis-6027	220	28	set	set	VERB
fcis-6027	220	29	to	to	ADP
fcis-6027	220	30	2	2	NUM
fcis-6027	220	31	.	.	PUNCT
fcis-6027	221	1	in	in	ADP
fcis-6027	221	2	constructing	construct	VERB
fcis-6027	221	3	the	the	DET
fcis-6027	221	4	arima	arima	PROPN
fcis-6027	221	5	prediction	prediction	NOUN
fcis-6027	221	6	model	model	NOUN
fcis-6027	221	7	,	,	PUNCT
fcis-6027	221	8	the	the	DET
fcis-6027	221	9	arima	arima	NOUN
fcis-6027	221	10	model	model	NOUN
fcis-6027	221	11	is	be	AUX
fcis-6027	221	12	trained	train	VERB
fcis-6027	221	13	on	on	ADP
fcis-6027	221	14	the	the	DET
fcis-6027	221	15	given	give	VERB
fcis-6027	221	16	training	training	NOUN
fcis-6027	221	17	set	set	NOUN
fcis-6027	221	18	using	use	VERB
fcis-6027	221	19	the	the	DET
fcis-6027	221	20	statsmodels	statsmodel	NOUN
fcis-6027	221	21	package	package	NOUN
fcis-6027	221	22	in	in	ADP
fcis-6027	221	23	python	python	PROPN
fcis-6027	221	24	,	,	PUNCT
fcis-6027	221	25	and	and	CCONJ
fcis-6027	221	26	after	after	SCONJ
fcis-6027	221	27	the	the	DET
fcis-6027	221	28	arima	arima	PROPN
fcis-6027	221	29	model	model	NOUN
fcis-6027	221	30	is	be	AUX
fcis-6027	221	31	trained	train	VERB
fcis-6027	221	32	,	,	PUNCT
fcis-6027	221	33	it	it	PRON
fcis-6027	221	34	is	be	AUX
fcis-6027	221	35	then	then	ADV
fcis-6027	221	36	used	use	VERB
fcis-6027	221	37	to	to	PART
fcis-6027	221	38	fit	fit	VERB
fcis-6027	221	39	the	the	DET
fcis-6027	221	40	test	test	NOUN
fcis-6027	221	41	set	set	VERB
fcis-6027	221	42	data	datum	NOUN
fcis-6027	221	43	.	.	PUNCT
fcis-6027	222	1	the	the	DET
fcis-6027	222	2	predicted	predict	VERB
fcis-6027	222	3	shanghai	shanghai	PROPN
fcis-6027	222	4	-	-	PUNCT
fcis-6027	222	5	shenzhen	shenzhen	PROPN
fcis-6027	222	6	300	300	NUM
fcis-6027	222	7	index	index	NOUN
fcis-6027	222	8	closing	closing	NOUN
fcis-6027	222	9	price	price	NOUN
fcis-6027	222	10	and	and	CCONJ
fcis-6027	222	11	the	the	DET
fcis-6027	222	12	predicted	predict	VERB
fcis-6027	222	13	results	result	NOUN
fcis-6027	222	14	are	be	AUX
fcis-6027	222	15	shown	show	VERB
fcis-6027	222	16	below	below	ADP
fcis-6027	222	17	.	.	PUNCT
fcis-6027	223	1	figure	figure	NOUN
fcis-6027	223	2	1	1	NUM
fcis-6027	223	3	.	.	PUNCT
fcis-6027	224	1	the	the	DET
fcis-6027	224	2	prediction	prediction	NOUN
fcis-6027	224	3	effect	effect	NOUN
fcis-6027	224	4	of	of	ADP
fcis-6027	224	5	arima	arima	PROPN
fcis-6027	224	6	model	model	NOUN
fcis-6027	224	7	for	for	ADP
fcis-6027	224	8	csi	csi	PROPN
fcis-6027	224	9	300	300	NUM
fcis-6027	224	10	index	index	NOUN
fcis-6027	224	11	3.2	3.2	NUM
fcis-6027	224	12	.	.	PUNCT
fcis-6027	225	1	lstm	lstm	NOUN
fcis-6027	225	2	model	model	NOUN
fcis-6027	225	3	performance	performance	NOUN
fcis-6027	225	4	in	in	ADP
fcis-6027	225	5	building	build	VERB
fcis-6027	225	6	the	the	DET
fcis-6027	225	7	lstm	lstm	PROPN
fcis-6027	225	8	prediction	prediction	NOUN
fcis-6027	225	9	model	model	NOUN
fcis-6027	225	10	,	,	PUNCT
fcis-6027	225	11	the	the	DET
fcis-6027	225	12	regression	regression	NOUN
fcis-6027	225	13	prediction	prediction	NOUN
fcis-6027	225	14	is	be	AUX
fcis-6027	225	15	implemented	implement	VERB
fcis-6027	225	16	using	use	VERB
fcis-6027	225	17	the	the	DET
fcis-6027	225	18	lstm	lstm	ADJ
fcis-6027	225	19	function	function	NOUN
fcis-6027	225	20	that	that	PRON
fcis-6027	225	21	comes	come	VERB
fcis-6027	225	22	with	with	ADP
fcis-6027	225	23	the	the	DET
fcis-6027	225	24	keras	keras	PROPN
fcis-6027	225	25	module	module	NOUN
fcis-6027	225	26	in	in	ADP
fcis-6027	225	27	python	python	PROPN
fcis-6027	225	28	.	.	PUNCT
fcis-6027	226	1	the	the	DET
fcis-6027	226	2	model	model	NOUN
fcis-6027	226	3	contains	contain	VERB
fcis-6027	226	4	an	an	DET
fcis-6027	226	5	input	input	NOUN
fcis-6027	226	6	layer	layer	NOUN
fcis-6027	226	7	,	,	PUNCT
fcis-6027	226	8	an	an	DET
fcis-6027	226	9	lstm	lstm	ADJ
fcis-6027	226	10	layer	layer	NOUN
fcis-6027	226	11	,	,	PUNCT
fcis-6027	226	12	a	a	DET
fcis-6027	226	13	fully	fully	ADV
fcis-6027	226	14	connected	connect	VERB
fcis-6027	226	15	layer	layer	NOUN
fcis-6027	226	16	,	,	PUNCT
fcis-6027	226	17	and	and	CCONJ
fcis-6027	226	18	an	an	DET
fcis-6027	226	19	output	output	NOUN
fcis-6027	226	20	layer	layer	NOUN
fcis-6027	226	21	.	.	PUNCT
fcis-6027	227	1	the	the	DET
fcis-6027	227	2	batch_size	batch_size	NOUN
fcis-6027	227	3	is	be	AUX
fcis-6027	227	4	setted	sette	VERB
fcis-6027	227	5	to	to	ADP
fcis-6027	227	6	100	100	NUM
fcis-6027	227	7	,	,	PUNCT
fcis-6027	227	8	50	50	NUM
fcis-6027	227	9	iterations	iteration	NOUN
fcis-6027	227	10	are	be	AUX
fcis-6027	227	11	performed	perform	VERB
fcis-6027	227	12	,	,	PUNCT
fcis-6027	227	13	and	and	CCONJ
fcis-6027	227	14	the	the	DET
fcis-6027	227	15	model	model	NOUN
fcis-6027	227	16	is	be	AUX
fcis-6027	227	17	optimized	optimize	VERB
fcis-6027	227	18	using	use	VERB
fcis-6027	227	19	the	the	DET
fcis-6027	227	20	adam	adam	PROPN
fcis-6027	227	21	optimizer	optimizer	NOUN
fcis-6027	227	22	.	.	PUNCT
fcis-6027	228	1	the	the	DET
fcis-6027	228	2	prediction	prediction	NOUN
fcis-6027	228	3	results	result	NOUN
fcis-6027	228	4	of	of	ADP
fcis-6027	228	5	the	the	DET
fcis-6027	228	6	model	model	NOUN
fcis-6027	228	7	on	on	ADP
fcis-6027	228	8	the	the	DET
fcis-6027	228	9	test	test	NOUN
fcis-6027	228	10	set	set	NOUN
fcis-6027	228	11	are	be	AUX
fcis-6027	228	12	shown	show	VERB
fcis-6027	228	13	in	in	ADP
fcis-6027	228	14	figure	figure	NOUN
fcis-6027	228	15	2	2	NUM
fcis-6027	228	16	.	.	PUNCT
fcis-6027	228	17	figure	figure	NOUN
fcis-6027	228	18	2	2	NUM
fcis-6027	228	19	.	.	PUNCT
fcis-6027	229	1	the	the	DET
fcis-6027	229	2	prediction	prediction	NOUN
fcis-6027	229	3	effect	effect	NOUN
fcis-6027	229	4	of	of	ADP
fcis-6027	229	5	lstm	lstm	ADJ
fcis-6027	229	6	model	model	NOUN
fcis-6027	229	7	of	of	ADP
fcis-6027	229	8	csi	csi	PROPN
fcis-6027	229	9	300	300	NUM
fcis-6027	229	10	index	index	NOUN
fcis-6027	229	11	3.3	3.3	NUM
fcis-6027	229	12	.	.	PUNCT
fcis-6027	230	1	xgboost	xgboost	PROPN
fcis-6027	230	2	model	model	NOUN
fcis-6027	230	3	performance	performance	NOUN
fcis-6027	230	4	to	to	PART
fcis-6027	230	5	construct	construct	VERB
fcis-6027	230	6	the	the	DET
fcis-6027	230	7	xgboost	xgboost	PROPN
fcis-6027	230	8	prediction	prediction	NOUN
fcis-6027	230	9	model	model	NOUN
fcis-6027	230	10	,	,	PUNCT
fcis-6027	230	11	regression	regression	NOUN
fcis-6027	230	12	prediction	prediction	NOUN
fcis-6027	230	13	using	use	VERB
fcis-6027	230	14	the	the	DET
fcis-6027	230	15	xgbregressor	xgbregressor	NOUN
fcis-6027	230	16	function	function	NOUN
fcis-6027	230	17	of	of	ADP
fcis-6027	230	18	the	the	DET
fcis-6027	230	19	xgboost	xgboost	PROPN
fcis-6027	230	20	module	module	NOUN
fcis-6027	230	21	in	in	ADP
fcis-6027	230	22	python	python	PROPN
fcis-6027	230	23	to	to	PART
fcis-6027	230	24	call	call	VERB
fcis-6027	230	25	the	the	DET
fcis-6027	230	26	reference	reference	NOUN
fcis-6027	230	27	,	,	PUNCT
fcis-6027	230	28	setting	set	VERB
fcis-6027	230	29	the	the	DET
fcis-6027	230	30	penalty	penalty	NOUN
fcis-6027	230	31	term	term	NOUN
fcis-6027	230	32	coefficient	coefficient	NOUN
fcis-6027	230	33	gamma	gamma	NOUN
fcis-6027	230	34	to	to	ADP
fcis-6027	230	35	200	200	NUM
fcis-6027	230	36	,	,	PUNCT
fcis-6027	230	37	the	the	DET
fcis-6027	230	38	maximum	maximum	ADJ
fcis-6027	230	39	depth	depth	NOUN
fcis-6027	230	40	of	of	ADP
fcis-6027	230	41	subdecision	subdecision	NOUN
fcis-6027	230	42	trees	tree	NOUN
fcis-6027	230	43	max_depth	max_depth	NOUN
fcis-6027	230	44	to	to	ADP
fcis-6027	230	45	7	7	NUM
fcis-6027	230	46	,	,	PUNCT
fcis-6027	230	47	the	the	DET
fcis-6027	230	48	number	number	NOUN
fcis-6027	230	49	of	of	ADP
fcis-6027	230	50	sub	sub	ADJ
fcis-6027	230	51	-	-	ADJ
fcis-6027	230	52	decision	decision	ADJ
fcis-6027	230	53	trees	tree	NOUN
fcis-6027	230	54	n_estimators	n_estimator	NOUN
fcis-6027	230	55	to	to	ADP
fcis-6027	230	56	90	90	NUM
fcis-6027	230	57	,	,	PUNCT
fcis-6027	230	58	and	and	CCONJ
fcis-6027	230	59	the	the	DET
fcis-6027	230	60	random	random	ADJ
fcis-6027	230	61	sampling	sampling	NOUN
fcis-6027	230	62	ratio	ratio	NOUN
fcis-6027	230	63	subsample	subsample	NOUN
fcis-6027	230	64	is	be	AUX
fcis-6027	230	65	0.3	0.3	NUM
fcis-6027	230	66	.	.	PUNCT
fcis-6027	231	1	the	the	DET
fcis-6027	231	2	prediction	prediction	NOUN
fcis-6027	231	3	effect	effect	NOUN
fcis-6027	231	4	of	of	ADP
fcis-6027	231	5	the	the	DET
fcis-6027	231	6	model	model	NOUN
fcis-6027	231	7	on	on	ADP
fcis-6027	231	8	the	the	DET
fcis-6027	231	9	test	test	NOUN
fcis-6027	231	10	set	set	NOUN
fcis-6027	231	11	is	be	AUX
fcis-6027	231	12	shown	show	VERB
fcis-6027	231	13	in	in	ADP
fcis-6027	231	14	figure	figure	NOUN
fcis-6027	231	15	3	3	NUM
fcis-6027	231	16	.	.	NOUN
fcis-6027	231	17	76	76	NUM
fcis-6027	231	18	figure	figure	NOUN
fcis-6027	231	19	3	3	NUM
fcis-6027	231	20	.	.	PUNCT
fcis-6027	232	1	the	the	DET
fcis-6027	232	2	prediction	prediction	NOUN
fcis-6027	232	3	effect	effect	NOUN
fcis-6027	232	4	of	of	ADP
fcis-6027	232	5	xgboost	xgboost	PROPN
fcis-6027	232	6	model	model	NOUN
fcis-6027	232	7	for	for	ADP
fcis-6027	232	8	csi	csi	PROPN
fcis-6027	232	9	300	300	NUM
fcis-6027	232	10	index	index	NOUN
fcis-6027	232	11	3.4	3.4	NUM
fcis-6027	232	12	.	.	PUNCT
fcis-6027	232	13	optimization	optimization	NOUN
fcis-6027	232	14	of	of	ADP
fcis-6027	232	15	empirical	empirical	ADJ
fcis-6027	232	16	modal	modal	ADJ
fcis-6027	232	17	decomposition	decomposition	NOUN
fcis-6027	232	18	method	method	VERB
fcis-6027	232	19	the	the	DET
fcis-6027	232	20	empirical	empirical	ADJ
fcis-6027	232	21	modal	modal	ADJ
fcis-6027	232	22	decomposition	decomposition	NOUN
fcis-6027	232	23	algorithm	algorithm	NOUN
fcis-6027	232	24	must	must	AUX
fcis-6027	232	25	first	first	ADV
fcis-6027	232	26	extract	extract	VERB
fcis-6027	232	27	some	some	PRON
fcis-6027	232	28	of	of	ADP
fcis-6027	232	29	the	the	DET
fcis-6027	232	30	extreme	extreme	ADJ
fcis-6027	232	31	points	point	NOUN
fcis-6027	232	32	of	of	ADP
fcis-6027	232	33	the	the	DET
fcis-6027	232	34	initial	initial	ADJ
fcis-6027	232	35	signal	signal	NOUN
fcis-6027	232	36	,	,	PUNCT
fcis-6027	232	37	and	and	CCONJ
fcis-6027	232	38	this	this	DET
fcis-6027	232	39	property	property	NOUN
fcis-6027	232	40	coincides	coincide	VERB
fcis-6027	232	41	with	with	ADP
fcis-6027	232	42	the	the	DET
fcis-6027	232	43	instability	instability	NOUN
fcis-6027	232	44	of	of	ADP
fcis-6027	232	45	a	a	DET
fcis-6027	232	46	large	large	ADJ
fcis-6027	232	47	number	number	NOUN
fcis-6027	232	48	of	of	ADP
fcis-6027	232	49	local	local	ADJ
fcis-6027	232	50	extreme	extreme	ADJ
fcis-6027	232	51	values	value	NOUN
fcis-6027	232	52	caused	cause	VERB
fcis-6027	232	53	by	by	ADP
fcis-6027	232	54	the	the	DET
fcis-6027	232	55	financial	financial	ADJ
fcis-6027	232	56	markets	market	NOUN
fcis-6027	232	57	being	be	AUX
fcis-6027	232	58	in	in	ADP
fcis-6027	232	59	volatility	volatility	NOUN
fcis-6027	232	60	for	for	ADP
fcis-6027	232	61	a	a	DET
fcis-6027	232	62	long	long	ADJ
fcis-6027	232	63	period	period	NOUN
fcis-6027	232	64	of	of	ADP
fcis-6027	232	65	time	time	NOUN
fcis-6027	232	66	.	.	PUNCT
fcis-6027	233	1	therefore	therefore	ADV
fcis-6027	233	2	,	,	PUNCT
fcis-6027	233	3	it	it	PRON
fcis-6027	233	4	is	be	AUX
fcis-6027	233	5	very	very	ADV
fcis-6027	233	6	suitable	suitable	ADJ
fcis-6027	233	7	to	to	PART
fcis-6027	233	8	use	use	VERB
fcis-6027	233	9	emd	emd	PROPN
fcis-6027	233	10	algorithm	algorithm	NOUN
fcis-6027	233	11	to	to	PART
fcis-6027	233	12	study	study	VERB
fcis-6027	233	13	and	and	CCONJ
fcis-6027	233	14	analyze	analyze	VERB
fcis-6027	233	15	financial	financial	ADJ
fcis-6027	233	16	data	datum	NOUN
fcis-6027	233	17	.	.	PUNCT
fcis-6027	234	1	the	the	DET
fcis-6027	234	2	empirical	empirical	ADJ
fcis-6027	234	3	modal	modal	ADJ
fcis-6027	234	4	decomposition	decomposition	NOUN
fcis-6027	234	5	of	of	ADP
fcis-6027	234	6	the	the	DET
fcis-6027	234	7	csi	csi	ADJ
fcis-6027	234	8	300	300	NUM
fcis-6027	234	9	index	index	NOUN
fcis-6027	234	10	data	datum	NOUN
fcis-6027	234	11	is	be	AUX
fcis-6027	234	12	obtained	obtain	VERB
fcis-6027	234	13	in	in	ADP
fcis-6027	234	14	figure	figure	NOUN
fcis-6027	234	15	4	4	NUM
fcis-6027	234	16	as	as	SCONJ
fcis-6027	234	17	follows	follow	VERB
fcis-6027	234	18	.	.	PUNCT
fcis-6027	235	1	figure	figure	VERB
fcis-6027	235	2	4	4	NUM
fcis-6027	235	3	.	.	PUNCT
fcis-6027	236	1	plot	plot	NOUN
fcis-6027	236	2	of	of	ADP
fcis-6027	236	3	empirical	empirical	ADJ
fcis-6027	236	4	modal	modal	ADJ
fcis-6027	236	5	decomposition	decomposition	NOUN
fcis-6027	236	6	data	data	VERB
fcis-6027	236	7	the	the	DET
fcis-6027	236	8	performance	performance	NOUN
fcis-6027	236	9	of	of	ADP
fcis-6027	236	10	the	the	DET
fcis-6027	236	11	lstm	lstm	NOUN
fcis-6027	236	12	and	and	CCONJ
fcis-6027	236	13	xgboost	xgboost	NOUN
fcis-6027	236	14	models	model	NOUN
fcis-6027	236	15	on	on	ADP
fcis-6027	236	16	the	the	DET
fcis-6027	236	17	test	test	NOUN
fcis-6027	236	18	set	set	VERB
fcis-6027	236	19	after	after	ADP
fcis-6027	236	20	optimization	optimization	NOUN
fcis-6027	236	21	using	use	VERB
fcis-6027	236	22	the	the	DET
fcis-6027	236	23	emd	emd	PROPN
fcis-6027	236	24	method	method	NOUN
fcis-6027	236	25	is	be	AUX
fcis-6027	236	26	shown	show	VERB
fcis-6027	236	27	in	in	ADP
fcis-6027	236	28	figures	figure	NOUN
fcis-6027	236	29	4	4	NUM
fcis-6027	236	30	to	to	PART
fcis-6027	236	31	5	5	NUM
fcis-6027	236	32	.	.	PUNCT
fcis-6027	236	33	figure	figure	VERB
fcis-6027	236	34	5	5	NUM
fcis-6027	236	35	.	.	PUNCT
fcis-6027	236	36	prediction	prediction	NOUN
fcis-6027	236	37	effect	effect	NOUN
fcis-6027	236	38	of	of	ADP
fcis-6027	236	39	lstm	lstm	PROPN
fcis-6027	236	40	model	model	NOUN
fcis-6027	236	41	after	after	SCONJ
fcis-6027	236	42	emd	emd	PROPN
fcis-6027	236	43	optimization	optimization	NOUN
fcis-6027	236	44	figure	figure	NOUN
fcis-6027	236	45	6	6	NUM
fcis-6027	236	46	.	.	PUNCT
fcis-6027	236	47	prediction	prediction	NOUN
fcis-6027	236	48	effect	effect	NOUN
fcis-6027	236	49	of	of	ADP
fcis-6027	236	50	xgboost	xgboost	PROPN
fcis-6027	236	51	model	model	PROPN
fcis-6027	236	52	after	after	ADP
fcis-6027	236	53	emd	emd	PROPN
fcis-6027	236	54	optimization	optimization	NOUN
fcis-6027	236	55	3.5	3.5	NUM
fcis-6027	236	56	.	.	PUNCT
fcis-6027	237	1	analysis	analysis	NOUN
fcis-6027	237	2	of	of	ADP
fcis-6027	237	3	evaluation	evaluation	NOUN
fcis-6027	237	4	indicators	indicator	NOUN
fcis-6027	237	5	after	after	ADP
fcis-6027	237	6	training	train	VERB
fcis-6027	237	7	the	the	DET
fcis-6027	237	8	lstm	lstm	NOUN
fcis-6027	237	9	and	and	CCONJ
fcis-6027	237	10	xgboost	xgboost	ADJ
fcis-6027	237	11	algorithm	algorithm	NOUN
fcis-6027	237	12	models	model	NOUN
fcis-6027	237	13	optimally	optimally	ADV
fcis-6027	237	14	using	use	VERB
fcis-6027	237	15	the	the	DET
fcis-6027	237	16	empirical	empirical	ADJ
fcis-6027	237	17	modal	modal	ADJ
fcis-6027	237	18	decomposition	decomposition	NOUN
fcis-6027	237	19	method	method	NOUN
fcis-6027	238	1	,	,	PUNCT
fcis-6027	238	2	the	the	DET
fcis-6027	238	3	evaluation	evaluation	NOUN
fcis-6027	238	4	metrics	metric	NOUN
fcis-6027	238	5	are	be	AUX
fcis-6027	238	6	compared	compare	VERB
fcis-6027	238	7	with	with	ADP
fcis-6027	238	8	the	the	DET
fcis-6027	238	9	unoptimized	unoptimized	ADJ
fcis-6027	238	10	evaluation	evaluation	NOUN
fcis-6027	238	11	metrics	metric	NOUN
fcis-6027	238	12	as	as	SCONJ
fcis-6027	238	13	shown	show	VERB
fcis-6027	238	14	in	in	ADP
fcis-6027	238	15	the	the	DET
fcis-6027	238	16	following	follow	VERB
fcis-6027	238	17	figure	figure	NOUN
fcis-6027	238	18	.	.	PUNCT
fcis-6027	239	1	table	table	NOUN
fcis-6027	239	2	1	1	NUM
fcis-6027	239	3	.	.	PUNCT
fcis-6027	239	4	comparison	comparison	NOUN
fcis-6027	239	5	of	of	ADP
fcis-6027	239	6	evaluation	evaluation	NOUN
fcis-6027	239	7	indicators	indicator	NOUN
fcis-6027	239	8	according	accord	VERB
fcis-6027	239	9	to	to	ADP
fcis-6027	239	10	table	table	NOUN
fcis-6027	239	11	1	1	NUM
fcis-6027	239	12	,	,	PUNCT
fcis-6027	239	13	it	it	PRON
fcis-6027	239	14	can	can	AUX
fcis-6027	239	15	be	be	AUX
fcis-6027	239	16	seen	see	VERB
fcis-6027	239	17	that	that	SCONJ
fcis-6027	239	18	the	the	DET
fcis-6027	239	19	prediction	prediction	NOUN
fcis-6027	239	20	effect	effect	NOUN
fcis-6027	239	21	of	of	ADP
fcis-6027	239	22	lstm	lstm	NOUN
fcis-6027	239	23	and	and	CCONJ
fcis-6027	239	24	xgboost	xgboost	NOUN
fcis-6027	239	25	models	model	NOUN
fcis-6027	239	26	before	before	ADP
fcis-6027	239	27	optimization	optimization	NOUN
fcis-6027	239	28	is	be	AUX
fcis-6027	239	29	significantly	significantly	ADV
fcis-6027	239	30	better	well	ADJ
fcis-6027	239	31	than	than	ADP
fcis-6027	239	32	that	that	PRON
fcis-6027	239	33	of	of	ADP
fcis-6027	239	34	arima	arima	PROPN
fcis-6027	239	35	model	model	NOUN
fcis-6027	239	36	,	,	PUNCT
fcis-6027	239	37	and	and	CCONJ
fcis-6027	239	38	the	the	DET
fcis-6027	239	39	prediction	prediction	NOUN
fcis-6027	239	40	effect	effect	NOUN
fcis-6027	239	41	of	of	ADP
fcis-6027	239	42	the	the	DET
fcis-6027	239	43	two	two	NUM
fcis-6027	239	44	algorithms	algorithm	NOUN
fcis-6027	239	45	is	be	AUX
fcis-6027	239	46	more	more	ADV
fcis-6027	239	47	balanced	balanced	ADJ
fcis-6027	239	48	after	after	ADP
fcis-6027	239	49	optimization	optimization	NOUN
fcis-6027	239	50	,	,	PUNCT
fcis-6027	239	51	while	while	SCONJ
fcis-6027	239	52	emd	emd	PROPN
fcis-6027	239	53	optimization	optimization	NOUN
fcis-6027	239	54	has	have	VERB
fcis-6027	239	55	the	the	DET
fcis-6027	239	56	most	most	ADV
fcis-6027	239	57	obvious	obvious	ADJ
fcis-6027	239	58	improvement	improvement	NOUN
fcis-6027	239	59	for	for	ADP
fcis-6027	239	60	the	the	DET
fcis-6027	239	61	prediction	prediction	NOUN
fcis-6027	239	62	effect	effect	NOUN
fcis-6027	239	63	of	of	ADP
fcis-6027	239	64	xgboost	xgboost	PROPN
fcis-6027	239	65	algorithm	algorithm	PROPN
fcis-6027	239	66	.	.	PUNCT
fcis-6027	240	1	after	after	ADP
fcis-6027	240	2	emd	emd	PROPN
fcis-6027	240	3	optimization	optimization	NOUN
fcis-6027	240	4	of	of	ADP
fcis-6027	240	5	xgboost	xgboost	PROPN
fcis-6027	240	6	algorithm	algorithm	PROPN
fcis-6027	240	7	,	,	PUNCT
fcis-6027	240	8	mse	mse	PROPN
fcis-6027	240	9	is	be	AUX
fcis-6027	240	10	reduced	reduce	VERB
fcis-6027	240	11	by	by	ADP
fcis-6027	240	12	97.80	97.80	NUM
fcis-6027	240	13	%	%	NOUN
fcis-6027	240	14	,	,	PUNCT
fcis-6027	240	15	mae	mae	PROPN
fcis-6027	240	16	is	be	AUX
fcis-6027	240	17	reduced	reduce	VERB
fcis-6027	240	18	by	by	ADP
fcis-6027	240	19	96.73	96.73	NUM
fcis-6027	240	20	%	%	NOUN
fcis-6027	240	21	and	and	CCONJ
fcis-6027	240	22	81.25	81.25	NUM
fcis-6027	240	23	%	%	NOUN
fcis-6027	240	24	for	for	ADP
fcis-6027	240	25	mape	mape	NOUN
fcis-6027	240	26	.	.	PUNCT
fcis-6027	241	1	it	it	PRON
fcis-6027	241	2	can	can	AUX
fcis-6027	241	3	be	be	AUX
fcis-6027	241	4	seen	see	VERB
fcis-6027	241	5	that	that	SCONJ
fcis-6027	241	6	the	the	DET
fcis-6027	241	7	optimized	optimize	VERB
fcis-6027	241	8	emd	emd	PROPN
fcis-6027	241	9	-	-	PUNCT
fcis-6027	241	10	xgboost	xgboost	PROPN
fcis-6027	241	11	model	model	NOUN
fcis-6027	241	12	has	have	VERB
fcis-6027	241	13	the	the	DET
fcis-6027	241	14	closest	close	ADJ
fcis-6027	241	15	prediction	prediction	NOUN
fcis-6027	241	16	value	value	NOUN
fcis-6027	241	17	to	to	ADP
fcis-6027	241	18	the	the	DET
fcis-6027	241	19	true	true	ADJ
fcis-6027	241	20	value	value	NOUN
fcis-6027	241	21	and	and	CCONJ
fcis-6027	241	22	the	the	DET
fcis-6027	241	23	highest	high	ADJ
fcis-6027	241	24	prediction	prediction	NOUN
fcis-6027	241	25	accuracy	accuracy	NOUN
fcis-6027	241	26	.	.	PUNCT
fcis-6027	242	1	4	4	X
fcis-6027	242	2	.	.	X
fcis-6027	242	3	conclusion	conclusion	NOUN
fcis-6027	242	4	in	in	ADP
fcis-6027	242	5	this	this	DET
fcis-6027	242	6	paper	paper	NOUN
fcis-6027	242	7	,	,	PUNCT
fcis-6027	242	8	the	the	DET
fcis-6027	242	9	xgboost	xgboost	PROPN
fcis-6027	242	10	machine	machine	NOUN
fcis-6027	242	11	learning	learn	VERB
fcis-6027	242	12	algorithm	algorithm	NOUN
fcis-6027	242	13	is	be	AUX
fcis-6027	242	14	used	use	VERB
fcis-6027	242	15	to	to	PART
fcis-6027	242	16	predict	predict	VERB
fcis-6027	242	17	the	the	DET
fcis-6027	242	18	closing	closing	NOUN
fcis-6027	242	19	price	price	NOUN
fcis-6027	242	20	of	of	ADP
fcis-6027	242	21	the	the	DET
fcis-6027	242	22	csi	csi	ADJ
fcis-6027	242	23	300	300	NUM
fcis-6027	242	24	stock	stock	NOUN
fcis-6027	242	25	index	index	NOUN
fcis-6027	242	26	futures	future	NOUN
fcis-6027	242	27	contract	contract	NOUN
fcis-6027	242	28	,	,	PUNCT
fcis-6027	242	29	and	and	CCONJ
fcis-6027	242	30	the	the	DET
fcis-6027	242	31	feasibility	feasibility	NOUN
fcis-6027	242	32	of	of	ADP
fcis-6027	242	33	the	the	DET
fcis-6027	242	34	machine	machine	NOUN
fcis-6027	242	35	learning	learn	VERB
fcis-6027	242	36	algorithm	algorithm	NOUN
fcis-6027	242	37	for	for	ADP
fcis-6027	242	38	financial	financial	ADJ
fcis-6027	242	39	time	time	NOUN
fcis-6027	242	40	series	series	PROPN
fcis-6027	242	41	data	data	PROPN
fcis-6027	242	42	prediction	prediction	NOUN
fcis-6027	242	43	is	be	AUX
fcis-6027	242	44	verified	verify	VERB
fcis-6027	242	45	.	.	PUNCT
fcis-6027	243	1	by	by	ADP
fcis-6027	243	2	comparing	compare	VERB
fcis-6027	243	3	the	the	DET
fcis-6027	243	4	prediction	prediction	NOUN
fcis-6027	243	5	effect	effect	NOUN
fcis-6027	243	6	before	before	ADP
fcis-6027	243	7	and	and	CCONJ
fcis-6027	243	8	after	after	ADP
fcis-6027	243	9	optimization	optimization	NOUN
fcis-6027	243	10	of	of	ADP
fcis-6027	243	11	empirical	empirical	ADJ
fcis-6027	243	12	modal	modal	ADJ
fcis-6027	243	13	decomposition	decomposition	NOUN
fcis-6027	243	14	methods	method	NOUN
fcis-6027	243	15	,	,	PUNCT
fcis-6027	243	16	the	the	DET
fcis-6027	243	17	availability	availability	NOUN
fcis-6027	243	18	of	of	ADP
fcis-6027	243	19	empirical	empirical	ADJ
fcis-6027	243	20	modal	modal	ADJ
fcis-6027	243	21	decomposition	decomposition	NOUN
fcis-6027	243	22	for	for	ADP
fcis-6027	243	23	the	the	DET
fcis-6027	243	24	improvement	improvement	NOUN
fcis-6027	243	25	of	of	ADP
fcis-6027	243	26	prediction	prediction	NOUN
fcis-6027	243	27	effect	effect	NOUN
fcis-6027	243	28	of	of	ADP
fcis-6027	243	29	machine	machine	NOUN
fcis-6027	243	30	learning	learn	VERB
fcis-6027	243	31	algorithms	algorithm	NOUN
fcis-6027	243	32	is	be	AUX
fcis-6027	243	33	verified	verify	VERB
fcis-6027	243	34	.	.	PUNCT
fcis-6027	244	1	the	the	DET
fcis-6027	244	2	results	result	NOUN
fcis-6027	244	3	show	show	VERB
fcis-6027	244	4	that	that	SCONJ
fcis-6027	244	5	lstm	lstm	NOUN
fcis-6027	244	6	and	and	CCONJ
fcis-6027	244	7	xgboost	xgboost	PRON
fcis-6027	244	8	can	can	AUX
fcis-6027	244	9	achieve	achieve	VERB
fcis-6027	244	10	accurate	accurate	ADJ
fcis-6027	244	11	prediction	prediction	NOUN
fcis-6027	244	12	of	of	ADP
fcis-6027	244	13	financial	financial	ADJ
fcis-6027	244	14	timeseries	timeserie	NOUN
fcis-6027	244	15	data	datum	NOUN
fcis-6027	244	16	,	,	PUNCT
fcis-6027	244	17	and	and	CCONJ
fcis-6027	244	18	the	the	DET
fcis-6027	244	19	empirical	empirical	ADJ
fcis-6027	244	20	modal	modal	ADJ
fcis-6027	244	21	decomposition	decomposition	NOUN
fcis-6027	244	22	method	method	NOUN
fcis-6027	244	23	can	can	AUX
fcis-6027	244	24	significantly	significantly	ADV
fcis-6027	244	25	improve	improve	VERB
fcis-6027	244	26	the	the	DET
fcis-6027	244	27	prediction	prediction	NOUN
fcis-6027	244	28	accuracy	accuracy	NOUN
fcis-6027	244	29	of	of	ADP
fcis-6027	244	30	xgboost	xgboost	PROPN
fcis-6027	244	31	algorithm	algorithm	PROPN
fcis-6027	244	32	.	.	PUNCT
fcis-6027	245	1	algorithm	algorithm	PROPN
fcis-6027	245	2	model	model	PROPN
fcis-6027	245	3	2r	2r	NUM
fcis-6027	245	4	rmse	rmse	PROPN
fcis-6027	245	5	mae	mae	PROPN
fcis-6027	245	6	mape	mape	PROPN
fcis-6027	245	7	arima	arima	PROPN
fcis-6027	245	8	0.425	0.425	NUM
fcis-6027	245	9	4615.230	4615.230	NUM
fcis-6027	245	10	2436.5628	2436.5628	NUM
fcis-6027	245	11	0.3385	0.3385	NUM
fcis-6027	245	12	lstm	lstm	NOUN
fcis-6027	245	13	0.921	0.921	NUM
fcis-6027	245	14	53.0540	53.0540	NUM
fcis-6027	245	15	41.0113	41.0113	NUM
fcis-6027	245	16	0.0096	0.0096	NUM
fcis-6027	245	17	xgboost	xgboost	ADV
fcis-6027	245	18	0.963	0.963	NUM
fcis-6027	245	19	52.690	52.690	NUM
fcis-6027	245	20	40.4740	40.4740	NUM
fcis-6027	245	21	0.0096	0.0096	NUM
fcis-6027	245	22	emdlstm	emdlstm	NOUN
fcis-6027	245	23	0.975	0.975	NUM
fcis-6027	245	24	1.3234	1.3234	NUM
fcis-6027	245	25	1.3188	1.3188	NUM
fcis-6027	245	26	0.0030	0.0030	NUM
fcis-6027	245	27	emdxgboost	emdxgboost	VERB
fcis-6027	245	28	0.982	0.982	NUM
fcis-6027	245	29	1.1562	1.1562	NUM
fcis-6027	245	30	1.3251	1.3251	NUM
fcis-6027	245	31	0.0018	0.0018	NUM
fcis-6027	245	32	77	77	NUM
fcis-6027	245	33	references	reference	NOUN
fcis-6027	245	34	[	[	X
fcis-6027	245	35	1	1	NUM
fcis-6027	245	36	]	]	X
fcis-6027	245	37	dezhi	dezhi	PROPN
fcis-6027	245	38	yang	yang	PROPN
fcis-6027	245	39	.	.	PUNCT
fcis-6027	246	1	design	design	NOUN
fcis-6027	246	2	and	and	CCONJ
fcis-6027	246	3	implementation	implementation	NOUN
fcis-6027	246	4	of	of	ADP
fcis-6027	246	5	stock	stock	NOUN
fcis-6027	246	6	prediction	prediction	NOUN
fcis-6027	246	7	system	system	NOUN
fcis-6027	246	8	based	base	VERB
fcis-6027	246	9	on	on	ADP
fcis-6027	246	10	nonlinear	nonlinear	ADJ
fcis-6027	246	11	combination	combination	NOUN
fcis-6027	247	1	[	[	X
fcis-6027	247	2	d	d	X
fcis-6027	247	3	]	]	X
fcis-6027	247	4	.	.	PUNCT
fcis-6027	248	1	liaoning	liaoning	PROPN
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fcis-6027	248	3	dalian	dalian	PROPN
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fcis-6027	248	5	of	of	ADP
fcis-6027	248	6	technology,2009	technology,2009	PROPN
fcis-6027	248	7	.	.	PROPN
fcis-6027	248	8	doi:10.7666/	doi:10.7666/	PROPN
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fcis-6027	248	10	.	.	PUNCT
fcis-6027	249	1	[	[	X
fcis-6027	249	2	2	2	X
fcis-6027	249	3	]	]	PUNCT
fcis-6027	249	4	yilin	yilin	PROPN
fcis-6027	249	5	ma	ma	PROPN
fcis-6027	249	6	.	.	PROPN
fcis-6027	249	7	research	research	PROPN
fcis-6027	249	8	on	on	ADP
fcis-6027	249	9	stock	stock	NOUN
fcis-6027	249	10	price	price	NOUN
fcis-6027	249	11	prediction	prediction	NOUN
fcis-6027	249	12	and	and	CCONJ
fcis-6027	249	13	portfolio	portfolio	NOUN
fcis-6027	249	14	based	base	VERB
fcis-6027	249	15	on	on	ADP
fcis-6027	249	16	deep	deep	ADJ
fcis-6027	249	17	neural	neural	ADJ
fcis-6027	249	18	network	network	NOUN
fcis-6027	250	1	[	[	X
fcis-6027	250	2	d	d	X
fcis-6027	250	3	]	]	X
fcis-6027	250	4	.	.	PUNCT
fcis-6027	251	1	jiangsu	jiangsu	PROPN
fcis-6027	251	2	:	:	PUNCT
fcis-6027	251	3	southeast	southeast	ADJ
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fcis-6027	251	5	.	.	PUNCT
fcis-6027	252	1	[	[	X
fcis-6027	252	2	3	3	X
fcis-6027	252	3	]	]	X
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fcis-6027	252	5	liu	liu	PROPN
fcis-6027	252	6	.	.	PUNCT
fcis-6027	253	1	stock	stock	NOUN
fcis-6027	253	2	price	price	NOUN
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fcis-6027	253	5	on	on	ADP
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fcis-6027	254	1	[	[	X
fcis-6027	254	2	d	d	X
fcis-6027	254	3	]	]	X
fcis-6027	254	4	.	.	PUNCT
fcis-6027	255	1	shanxi	shanxi	PROPN
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fcis-6027	255	9	.	.	PUNCT
fcis-6027	256	1	(	(	PUNCT
fcis-6027	256	2	in	in	ADP
fcis-6027	256	3	chinese	chinese	PROPN
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fcis-6027	257	1	[	[	X
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fcis-6027	257	3	]	]	PUNCT
fcis-6027	257	4	felix	felix	PROPN
fcis-6027	257	5	a.	a.	NOUN
fcis-6027	257	6	gers	gers	PROPN
fcis-6027	257	7	,	,	PUNCT
fcis-6027	257	8	jurgen	jurgen	PROPN
fcis-6027	257	9	schmidhuber	schmidhuber	PROPN
fcis-6027	257	10	,	,	PUNCT
fcis-6027	257	11	fred	fred	PROPN
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fcis-6027	257	13	.	.	PUNCT
fcis-6027	258	1	learning	learn	VERB
fcis-6027	258	2	to	to	PART
fcis-6027	258	3	forget	forget	VERB
fcis-6027	258	4	:	:	PUNCT
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fcis-6027	258	10	.	.	PUNCT
fcis-6027	259	1	neural	neural	PROPN
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fcis-6027	259	4	2471	2471	NUM
fcis-6027	259	5	.	.	PUNCT
fcis-6027	260	1	[	[	X
fcis-6027	260	2	5	5	NUM
fcis-6027	260	3	]	]	PUNCT
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fcis-6027	260	6	,	,	PUNCT
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fcis-6027	260	13	system	system	NOUN
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fcis-6027	261	1	[	[	X
fcis-6027	261	2	j].corr	j].corr	NOUN
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fcis-6027	261	5	,	,	PUNCT
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fcis-6027	261	12	1603.02754	1603.02754	NUM
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fcis-6027	262	1	[	[	X
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fcis-6027	262	3	]	]	PUNCT
fcis-6027	262	4	jing	jing	NOUN
fcis-6027	262	5	yi	yi	PROPN
fcis-6027	262	6	.	.	PUNCT
fcis-6027	263	1	research	research	NOUN
fcis-6027	263	2	on	on	ADP
fcis-6027	263	3	stock	stock	NOUN
fcis-6027	263	4	market	market	NOUN
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fcis-6027	263	7	prediction	prediction	NOUN
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fcis-6027	263	9	on	on	ADP
fcis-6027	263	10	eemd	eemd	PROPN
fcis-6027	263	11	and	and	CCONJ
fcis-6027	263	12	xgboost	xgboost	ADJ
fcis-6027	263	13	algorithm	algorithm	NOUN
fcis-6027	264	1	[	[	X
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fcis-6027	265	5	.	.	PUNCT
fcis-6027	266	1	[	[	X
fcis-6027	266	2	7	7	X
fcis-6027	266	3	]	]	X
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fcis-6027	266	5	gu	gu	PROPN
fcis-6027	266	6	.	.	PROPN
fcis-6027	266	7	xgboost	xgboost	PROPN
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fcis-6027	266	9	esn	esn	PROPN
fcis-6027	266	10	combination	combination	NOUN
fcis-6027	266	11	model	model	NOUN
fcis-6027	266	12	stock	stock	NOUN
fcis-6027	266	13	price	price	NOUN
fcis-6027	266	14	prediction	prediction	NOUN
fcis-6027	266	15	method	method	NOUN
fcis-6027	267	1	[	[	X
fcis-6027	267	2	j	j	X
fcis-6027	267	3	]	]	X
fcis-6027	267	4	.	.	PUNCT
fcis-6027	268	1	journal	journal	PROPN
fcis-6027	268	2	of	of	ADP
fcis-6027	268	3	mudanjiang	mudanjiang	PROPN
fcis-6027	268	4	normal	normal	PROPN
fcis-6027	268	5	university	university	PROPN
fcis-6027	268	6	(	(	PUNCT
fcis-6027	268	7	natural	natural	ADJ
fcis-6027	268	8	science	science	NOUN
fcis-6027	268	9	edition	edition	NOUN
fcis-6027	268	10	)	)	PUNCT
fcis-6027	268	11	,	,	PUNCT
fcis-6027	268	12	2022(1):1	2022(1):1	X
fcis-6027	268	13	-	-	SYM
fcis-6027	268	14	5	5	NUM
fcis-6027	268	15	.	.	PUNCT
fcis-6027	268	16	doi	doi	NOUN
fcis-6027	268	17	:	:	PUNCT
fcis-6027	268	18	10.3969	10.3969	NUM
fcis-6027	268	19	/	/	SYM
fcis-6027	268	20	j.issn.1003	j.issn.1003	NOUN
fcis-6027	268	21	-	-	NOUN
fcis-6027	268	22	6180.2022.01.002	6180.2022.01.002	NOUN
fcis-6027	268	23	.	.	PUNCT
fcis-6027	269	1	[	[	X
fcis-6027	269	2	8	8	NUM
fcis-6027	269	3	]	]	X
fcis-6027	269	4	wenbo	wenbo	PROPN
fcis-6027	269	5	wang	wang	PROPN
fcis-6027	269	6	.	.	PUNCT
fcis-6027	270	1	chinese	chinese	ADJ
fcis-6027	270	2	stock	stock	NOUN
fcis-6027	270	3	market	market	NOUN
fcis-6027	270	4	prediction	prediction	NOUN
fcis-6027	270	5	based	base	VERB
fcis-6027	270	6	on	on	ADP
fcis-6027	270	7	emd	emd	PROPN
fcis-6027	270	8	and	and	CCONJ
fcis-6027	270	9	neural	neural	ADJ
fcis-6027	270	10	network	network	NOUN
fcis-6027	271	1	[	[	X
fcis-6027	271	2	j	j	X
fcis-6027	271	3	]	]	X
fcis-6027	271	4	.	.	PUNCT
fcis-6027	272	1	systems	system	NOUN
fcis-6027	272	2	engineering	engineering	NOUN
fcis-6027	272	3	theory	theory	NOUN
fcis-6027	272	4	&	&	CCONJ
fcis-6027	272	5	practice,2010,30(6):1027	practice,2010,30(6):1027	NOUN
fcis-6027	272	6	-	-	PUNCT
fcis-6027	272	7	1033	1033	NUM
fcis-6027	272	8	.	.	PUNCT
fcis-6027	273	1	(	(	PUNCT
fcis-6027	273	2	in	in	ADP
fcis-6027	273	3	chinese	chinese	PROPN
fcis-6027	273	4	)	)	PUNCT
fcis-6027	274	1	[	[	X
fcis-6027	274	2	9	9	NUM
fcis-6027	274	3	]	]	X
fcis-6027	274	4	james	james	PROPN
fcis-6027	274	5	c.	c.	PROPN
fcis-6027	274	6	mckeown	mckeown	PROPN
fcis-6027	274	7	,	,	PUNCT
fcis-6027	274	8	kenneth	kenneth	PROPN
fcis-6027	274	9	s.	s.	PROPN
fcis-6027	274	10	lorek	lorek	PROPN
fcis-6027	274	11	.	.	PUNCT
fcis-6027	275	1	a	a	DET
fcis-6027	275	2	comparative	comparative	ADJ
fcis-6027	275	3	analysis	analysis	NOUN
fcis-6027	275	4	of	of	ADP
fcis-6027	275	5	the	the	DET
fcis-6027	275	6	predictive	predictive	ADJ
fcis-6027	275	7	ability	ability	NOUN
fcis-6027	275	8	of	of	ADP
fcis-6027	275	9	adaptive	adaptive	ADJ
fcis-6027	275	10	forecasting	forecasting	NOUN
fcis-6027	275	11	,	,	PUNCT
fcis-6027	275	12	re‐	re‐	DET
fcis-6027	275	13	estimation	estimation	NOUN
fcis-6027	275	14	,	,	PUNCT
fcis-6027	275	15	and	and	CCONJ
fcis-6027	275	16	re‐identification	re‐identification	NOUN
fcis-6027	275	17	using	use	VERB
fcis-6027	275	18	box‐	box‐	PROPN
fcis-6027	275	19	jenkins	jenkin	NOUN
fcis-6027	275	20	time‐series	time‐serie	NOUN
fcis-6027	275	21	analysis	analysis	NOUN
fcis-6027	275	22	on	on	ADP
fcis-6027	275	23	quarterly	quarterly	ADJ
fcis-6027	275	24	earnings	earning	NOUN
fcis-6027	275	25	data[j	data[j	NOUN
fcis-6027	275	26	]	]	X
fcis-6027	275	27	.	.	PUNCT
fcis-6027	276	1	decision	decision	NOUN
fcis-6027	276	2	sciences,1978,9(4):658	sciences,1978,9(4):658	PROPN
fcis-6027	276	3	-	-	PUNCT
fcis-6027	276	4	672	672	NUM
fcis-6027	276	5	.	.	PUNCT
fcis-6027	277	1	doi:10.1111	doi:10.1111	ADJ
fcis-6027	277	2	/	/	SYM
fcis-6027	277	3	j.1540	j.1540	PROPN
fcis-6027	277	4	-	-	PUNCT
fcis-6027	277	5	5915.1978.tb00752.x	5915.1978.tb00752.x	NUM
fcis-6027	277	6	.	.	PUNCT
fcis-6027	278	1	[	[	X
fcis-6027	278	2	10	10	NUM
fcis-6027	278	3	]	]	X
fcis-6027	278	4	stock	stock	NOUN
fcis-6027	278	5	closing	closing	NOUN
fcis-6027	278	6	price	price	NOUN
fcis-6027	278	7	prediction	prediction	NOUN
fcis-6027	278	8	based	base	VERB
fcis-6027	278	9	on	on	ADP
fcis-6027	278	10	sentiment	sentiment	NOUN
fcis-6027	278	11	analysis	analysis	NOUN
fcis-6027	278	12	and	and	CCONJ
fcis-6027	278	13	stm[j].neuralcomputing&applications,2020,32(13):97139729	stm[j].neuralcomputing&applications,2020,32(13):97139729	ADJ
fcis-6027	278	14	.	.	PUNCT
fcis-6027	279	1	doi:10.1007	doi:10.1007	PROPN
fcis-6027	279	2	/	/	SYM
fcis-6027	279	3	s00521	s00521	NOUN
fcis-6027	279	4	-	-	PUNCT
fcis-6027	279	5	019	019	NUM
fcis-6027	279	6	-	-	PUNCT
fcis-6027	279	7	04504	04504	NUM
fcis-6027	279	8	-	-	SYM
fcis-6027	279	9	2	2	NUM
fcis-6027	279	10	.	.	PUNCT