id	sid	tid	token	lemma	pos
fcis-28660	1	1	frontiers	frontier	NOUN
fcis-28660	1	2	in	in	ADP
fcis-28660	1	3	computing	computing	NOUN
fcis-28660	1	4	and	and	CCONJ
fcis-28660	1	5	intelligent	intelligent	ADJ
fcis-28660	1	6	systems	system	NOUN
fcis-28660	1	7	issn	issn	VERB
fcis-28660	1	8	:	:	PUNCT
fcis-28660	1	9	2832	2832	NUM
fcis-28660	1	10	-	-	SYM
fcis-28660	1	11	6024	6024	NUM
fcis-28660	1	12	|	|	NOUN
fcis-28660	1	13	vol	vol	NOUN
fcis-28660	1	14	.	.	PROPN
fcis-28660	2	1	10	10	NUM
fcis-28660	2	2	,	,	PUNCT
fcis-28660	2	3	no	no	INTJ
fcis-28660	2	4	.	.	NOUN
fcis-28660	2	5	3	3	NUM
fcis-28660	2	6	,	,	PUNCT
fcis-28660	2	7	2024	2024	NUM
fcis-28660	2	8	95	95	NUM
fcis-28660	2	9	analysis	analysis	NOUN
fcis-28660	2	10	and	and	CCONJ
fcis-28660	2	11	optimization	optimization	NOUN
fcis-28660	2	12	scheme	scheme	NOUN
fcis-28660	2	13	of	of	ADP
fcis-28660	2	14	the	the	DET
fcis-28660	2	15	effectiveness	effectiveness	NOUN
fcis-28660	2	16	of	of	ADP
fcis-28660	2	17	word2vec	word2vec	PRON
fcis-28660	2	18	in	in	ADP
fcis-28660	2	19	intelligent	intelligent	ADJ
fcis-28660	2	20	recommendation	recommendation	NOUN
fcis-28660	2	21	of	of	ADP
fcis-28660	2	22	traditional	traditional	ADJ
fcis-28660	2	23	chinese	chinese	ADJ
fcis-28660	2	24	medicine	medicine	NOUN
fcis-28660	2	25	folk	folk	NOUN
fcis-28660	2	26	prescriptions	prescription	NOUN
fcis-28660	2	27	xue	xue	PROPN
fcis-28660	2	28	bai	bai	PROPN
fcis-28660	2	29	1	1	NUM
fcis-28660	2	30	,	,	PUNCT
fcis-28660	2	31	gao	gao	PROPN
fcis-28660	2	32	wei	wei	PROPN
fcis-28660	2	33	1	1	NUM
fcis-28660	2	34	,	,	PUNCT
fcis-28660	2	35	tao	tao	PROPN
fcis-28660	2	36	ye	ye	NUM
fcis-28660	2	37	2	2	NUM
fcis-28660	2	38	1	1	NUM
fcis-28660	2	39	harbin	harbin	PROPN
fcis-28660	2	40	institute	institute	PROPN
fcis-28660	2	41	of	of	ADP
fcis-28660	2	42	finance	finance	PROPN
fcis-28660	2	43	,	,	PUNCT
fcis-28660	2	44	harbin	harbin	PROPN
fcis-28660	2	45	,	,	PUNCT
fcis-28660	2	46	heilongjiang	heilongjiang	PROPN
fcis-28660	2	47	,	,	PUNCT
fcis-28660	2	48	china	china	PROPN
fcis-28660	2	49	2	2	NUM
fcis-28660	2	50	university	university	NOUN
fcis-28660	2	51	of	of	ADP
fcis-28660	2	52	science	science	NOUN
fcis-28660	2	53	and	and	CCONJ
fcis-28660	2	54	technology	technology	NOUN
fcis-28660	2	55	liaoning	liaoning	NOUN
fcis-28660	2	56	,	,	PUNCT
fcis-28660	2	57	anshan	anshan	PROPN
fcis-28660	2	58	,	,	PUNCT
fcis-28660	2	59	liaoning	liaoning	PROPN
fcis-28660	2	60	,	,	PUNCT
fcis-28660	2	61	china	china	PROPN
fcis-28660	2	62	abstract	abstract	NOUN
fcis-28660	2	63	:	:	PUNCT
fcis-28660	2	64	with	with	ADP
fcis-28660	2	65	the	the	DET
fcis-28660	2	66	rapid	rapid	ADJ
fcis-28660	2	67	development	development	NOUN
fcis-28660	2	68	of	of	ADP
fcis-28660	2	69	science	science	NOUN
fcis-28660	2	70	and	and	CCONJ
fcis-28660	2	71	technology	technology	NOUN
fcis-28660	2	72	and	and	CCONJ
fcis-28660	2	73	medical	medical	ADJ
fcis-28660	2	74	intelligence	intelligence	NOUN
fcis-28660	2	75	,	,	PUNCT
fcis-28660	2	76	personalized	personalize	VERB
fcis-28660	2	77	intelligent	intelligent	ADJ
fcis-28660	2	78	recommendation	recommendation	NOUN
fcis-28660	2	79	has	have	AUX
fcis-28660	2	80	been	be	AUX
fcis-28660	2	81	applied	apply	VERB
fcis-28660	2	82	more	more	ADV
fcis-28660	2	83	and	and	CCONJ
fcis-28660	2	84	more	more	ADV
fcis-28660	2	85	widely	widely	ADV
fcis-28660	2	86	in	in	ADP
fcis-28660	2	87	the	the	DET
fcis-28660	2	88	medical	medical	ADJ
fcis-28660	2	89	field	field	NOUN
fcis-28660	2	90	.	.	PUNCT
fcis-28660	3	1	for	for	ADP
fcis-28660	3	2	a	a	DET
fcis-28660	3	3	patient	patient	NOUN
fcis-28660	3	4	,	,	PUNCT
fcis-28660	3	5	it	it	PRON
fcis-28660	3	6	is	be	AUX
fcis-28660	3	7	a	a	DET
fcis-28660	3	8	very	very	ADV
fcis-28660	3	9	important	important	ADJ
fcis-28660	3	10	link	link	NOUN
fcis-28660	3	11	to	to	PART
fcis-28660	3	12	find	find	VERB
fcis-28660	3	13	a	a	DET
fcis-28660	3	14	suitable	suitable	ADJ
fcis-28660	3	15	prescription	prescription	NOUN
fcis-28660	3	16	,	,	PUNCT
fcis-28660	3	17	but	but	CCONJ
fcis-28660	3	18	in	in	ADP
fcis-28660	3	19	the	the	DET
fcis-28660	3	20	face	face	NOUN
fcis-28660	3	21	of	of	ADP
fcis-28660	3	22	many	many	ADJ
fcis-28660	3	23	treatment	treatment	NOUN
fcis-28660	3	24	programs	program	NOUN
fcis-28660	3	25	and	and	CCONJ
fcis-28660	3	26	prescriptions	prescription	NOUN
fcis-28660	3	27	,	,	PUNCT
fcis-28660	3	28	it	it	PRON
fcis-28660	3	29	is	be	AUX
fcis-28660	3	30	difficult	difficult	ADJ
fcis-28660	3	31	for	for	SCONJ
fcis-28660	3	32	users	user	NOUN
fcis-28660	3	33	to	to	PART
fcis-28660	3	34	quickly	quickly	ADV
fcis-28660	3	35	obtain	obtain	VERB
fcis-28660	3	36	effective	effective	ADJ
fcis-28660	3	37	information	information	NOUN
fcis-28660	3	38	and	and	CCONJ
fcis-28660	3	39	make	make	VERB
fcis-28660	3	40	a	a	DET
fcis-28660	3	41	choice	choice	NOUN
fcis-28660	3	42	suitable	suitable	ADJ
fcis-28660	3	43	for	for	ADP
fcis-28660	3	44	their	their	PRON
fcis-28660	3	45	condition	condition	NOUN
fcis-28660	3	46	.	.	PUNCT
fcis-28660	4	1	by	by	ADP
fcis-28660	4	2	analyzing	analyze	VERB
fcis-28660	4	3	the	the	DET
fcis-28660	4	4	individual	individual	ADJ
fcis-28660	4	5	needs	need	NOUN
fcis-28660	4	6	of	of	ADP
fcis-28660	4	7	users	user	NOUN
fcis-28660	4	8	,	,	PUNCT
fcis-28660	4	9	valuable	valuable	ADJ
fcis-28660	4	10	information	information	NOUN
fcis-28660	4	11	is	be	AUX
fcis-28660	4	12	mined	mine	VERB
fcis-28660	4	13	from	from	ADP
fcis-28660	4	14	a	a	DET
fcis-28660	4	15	large	large	ADJ
fcis-28660	4	16	number	number	NOUN
fcis-28660	4	17	of	of	ADP
fcis-28660	4	18	traditional	traditional	ADJ
fcis-28660	4	19	chinese	chinese	ADJ
fcis-28660	4	20	medicine	medicine	NOUN
fcis-28660	4	21	treatments	treatment	NOUN
fcis-28660	4	22	and	and	CCONJ
fcis-28660	4	23	remedies	remedy	NOUN
fcis-28660	4	24	,	,	PUNCT
fcis-28660	4	25	and	and	CCONJ
fcis-28660	4	26	it	it	PRON
fcis-28660	4	27	is	be	AUX
fcis-28660	4	28	recommended	recommend	VERB
fcis-28660	4	29	to	to	ADP
fcis-28660	4	30	users	user	NOUN
fcis-28660	4	31	to	to	PART
fcis-28660	4	32	provide	provide	VERB
fcis-28660	4	33	help	help	NOUN
fcis-28660	4	34	for	for	SCONJ
fcis-28660	4	35	users	user	NOUN
fcis-28660	4	36	to	to	PART
fcis-28660	4	37	get	get	VERB
fcis-28660	4	38	treatment	treatment	NOUN
fcis-28660	4	39	in	in	ADP
fcis-28660	4	40	time	time	NOUN
fcis-28660	4	41	.	.	PUNCT
fcis-28660	5	1	however	however	ADV
fcis-28660	5	2	,	,	PUNCT
fcis-28660	5	3	most	most	ADJ
fcis-28660	5	4	of	of	ADP
fcis-28660	5	5	the	the	DET
fcis-28660	5	6	existing	exist	VERB
fcis-28660	5	7	tcm	tcm	PROPN
fcis-28660	5	8	prescription	prescription	NOUN
fcis-28660	5	9	recommendation	recommendation	NOUN
fcis-28660	5	10	systems	system	NOUN
fcis-28660	5	11	are	be	AUX
fcis-28660	5	12	based	base	VERB
fcis-28660	5	13	on	on	ADP
fcis-28660	5	14	traditional	traditional	ADJ
fcis-28660	5	15	collaborative	collaborative	ADJ
fcis-28660	5	16	filtering	filtering	NOUN
fcis-28660	5	17	or	or	CCONJ
fcis-28660	5	18	content	content	NOUN
fcis-28660	5	19	-	-	PUNCT
fcis-28660	5	20	based	base	VERB
fcis-28660	5	21	recommendation	recommendation	NOUN
fcis-28660	5	22	algorithms	algorithm	NOUN
fcis-28660	5	23	,	,	PUNCT
fcis-28660	5	24	which	which	PRON
fcis-28660	5	25	lack	lack	VERB
fcis-28660	5	26	in	in	ADP
fcis-28660	5	27	-	-	PUNCT
fcis-28660	5	28	depth	depth	NOUN
fcis-28660	5	29	mining	mining	NOUN
fcis-28660	5	30	of	of	ADP
fcis-28660	5	31	the	the	DET
fcis-28660	5	32	semantic	semantic	ADJ
fcis-28660	5	33	information	information	NOUN
fcis-28660	5	34	of	of	ADP
fcis-28660	5	35	tcm	tcm	PROPN
fcis-28660	5	36	prescription	prescription	NOUN
fcis-28660	5	37	.	.	PUNCT
fcis-28660	6	1	therefore	therefore	ADV
fcis-28660	6	2	,	,	PUNCT
fcis-28660	6	3	this	this	DET
fcis-28660	6	4	paper	paper	NOUN
fcis-28660	6	5	proposes	propose	VERB
fcis-28660	6	6	an	an	DET
fcis-28660	6	7	intelligent	intelligent	ADJ
fcis-28660	6	8	recommendation	recommendation	NOUN
fcis-28660	6	9	method	method	NOUN
fcis-28660	6	10	for	for	ADP
fcis-28660	6	11	traditional	traditional	ADJ
fcis-28660	6	12	chinese	chinese	ADJ
fcis-28660	6	13	medicine	medicine	NOUN
fcis-28660	6	14	prescriptions	prescription	NOUN
fcis-28660	6	15	based	base	VERB
fcis-28660	6	16	on	on	ADP
fcis-28660	6	17	word2vec	word2vec	PROPN
fcis-28660	6	18	model	model	NOUN
fcis-28660	6	19	,	,	PUNCT
fcis-28660	6	20	aiming	aim	VERB
fcis-28660	6	21	to	to	PART
fcis-28660	6	22	improve	improve	VERB
fcis-28660	6	23	the	the	DET
fcis-28660	6	24	accuracy	accuracy	NOUN
fcis-28660	6	25	and	and	CCONJ
fcis-28660	6	26	personalization	personalization	NOUN
fcis-28660	6	27	of	of	ADP
fcis-28660	6	28	the	the	DET
fcis-28660	6	29	recommendation	recommendation	NOUN
fcis-28660	6	30	system	system	NOUN
fcis-28660	6	31	by	by	ADP
fcis-28660	6	32	learning	learn	VERB
fcis-28660	6	33	the	the	DET
fcis-28660	6	34	semantic	semantic	ADJ
fcis-28660	6	35	representation	representation	NOUN
fcis-28660	6	36	of	of	ADP
fcis-28660	6	37	traditional	traditional	ADJ
fcis-28660	6	38	chinese	chinese	ADJ
fcis-28660	6	39	medicine	medicine	NOUN
fcis-28660	6	40	prescriptions	prescription	NOUN
fcis-28660	6	41	.	.	PUNCT
fcis-28660	7	1	since	since	SCONJ
fcis-28660	7	2	word2vec	word2vec	PROPN
fcis-28660	7	3	model	model	NOUN
fcis-28660	7	4	does	do	AUX
fcis-28660	7	5	not	not	PART
fcis-28660	7	6	distinguish	distinguish	VERB
fcis-28660	7	7	the	the	DET
fcis-28660	7	8	semantic	semantic	ADJ
fcis-28660	7	9	relationship	relationship	NOUN
fcis-28660	7	10	between	between	ADP
fcis-28660	7	11	context	context	NOUN
fcis-28660	7	12	words	word	NOUN
fcis-28660	7	13	and	and	CCONJ
fcis-28660	7	14	central	central	ADJ
fcis-28660	7	15	words	word	NOUN
fcis-28660	7	16	,	,	PUNCT
fcis-28660	7	17	the	the	DET
fcis-28660	7	18	semantic	semantic	NOUN
fcis-28660	7	19	is	be	AUX
fcis-28660	7	20	relatively	relatively	ADV
fcis-28660	7	21	missing	missing	ADJ
fcis-28660	7	22	,	,	PUNCT
fcis-28660	7	23	and	and	CCONJ
fcis-28660	7	24	the	the	DET
fcis-28660	7	25	effect	effect	NOUN
fcis-28660	7	26	on	on	ADP
fcis-28660	7	27	subsequent	subsequent	ADJ
fcis-28660	7	28	tasks	task	NOUN
fcis-28660	7	29	is	be	AUX
fcis-28660	7	30	limited	limited	ADJ
fcis-28660	7	31	.	.	PUNCT
fcis-28660	8	1	therefore	therefore	ADV
fcis-28660	8	2	,	,	PUNCT
fcis-28660	8	3	it	it	PRON
fcis-28660	8	4	is	be	AUX
fcis-28660	8	5	of	of	ADP
fcis-28660	8	6	great	great	ADJ
fcis-28660	8	7	significance	significance	NOUN
fcis-28660	8	8	to	to	PART
fcis-28660	8	9	propose	propose	VERB
fcis-28660	8	10	an	an	DET
fcis-28660	8	11	optimization	optimization	NOUN
fcis-28660	8	12	plan	plan	NOUN
fcis-28660	8	13	to	to	PART
fcis-28660	8	14	effectively	effectively	ADV
fcis-28660	8	15	promote	promote	VERB
fcis-28660	8	16	the	the	DET
fcis-28660	8	17	modernization	modernization	NOUN
fcis-28660	8	18	and	and	CCONJ
fcis-28660	8	19	intelligent	intelligent	ADJ
fcis-28660	8	20	development	development	NOUN
fcis-28660	8	21	of	of	ADP
fcis-28660	8	22	traditional	traditional	ADJ
fcis-28660	8	23	chinese	chinese	ADJ
fcis-28660	8	24	medicine	medicine	NOUN
fcis-28660	8	25	.	.	PUNCT
fcis-28660	9	1	keywords	keyword	NOUN
fcis-28660	9	2	:	:	PUNCT
fcis-28660	9	3	intelligent	intelligent	ADJ
fcis-28660	9	4	recommendation	recommendation	NOUN
fcis-28660	9	5	;	;	PUNCT
fcis-28660	9	6	word2vec	word2vec	X
fcis-28660	9	7	model	model	NOUN
fcis-28660	9	8	;	;	PUNCT
fcis-28660	9	9	collaborative	collaborative	ADJ
fcis-28660	9	10	filtering	filtering	NOUN
fcis-28660	9	11	;	;	PUNCT
fcis-28660	9	12	content	content	NOUN
fcis-28660	9	13	-	-	PUNCT
fcis-28660	9	14	based	base	VERB
fcis-28660	9	15	recommendation	recommendation	NOUN
fcis-28660	9	16	.	.	PUNCT
fcis-28660	10	1	1	1	X
fcis-28660	10	2	.	.	X
fcis-28660	10	3	introduction	introduction	NOUN
fcis-28660	10	4	text	text	NOUN
fcis-28660	10	5	classification	classification	NOUN
fcis-28660	10	6	is	be	AUX
fcis-28660	10	7	a	a	DET
fcis-28660	10	8	fundamental	fundamental	ADJ
fcis-28660	10	9	task	task	NOUN
fcis-28660	10	10	in	in	ADP
fcis-28660	10	11	the	the	DET
fcis-28660	10	12	field	field	NOUN
fcis-28660	10	13	of	of	ADP
fcis-28660	10	14	natural	natural	ADJ
fcis-28660	10	15	language	language	NOUN
fcis-28660	10	16	processing	processing	NOUN
fcis-28660	10	17	(	(	PUNCT
fcis-28660	10	18	nlp	nlp	NOUN
fcis-28660	10	19	)	)	PUNCT
fcis-28660	11	1	[	[	X
fcis-28660	11	2	1	1	NUM
fcis-28660	11	3	]	]	PUNCT
fcis-28660	11	4	,	,	PUNCT
fcis-28660	11	5	which	which	PRON
fcis-28660	11	6	classifies	classify	VERB
fcis-28660	11	7	text	text	NOUN
fcis-28660	11	8	data	datum	NOUN
fcis-28660	11	9	into	into	ADP
fcis-28660	11	10	predefined	predefine	VERB
fcis-28660	11	11	categories	category	NOUN
fcis-28660	11	12	.	.	PUNCT
fcis-28660	12	1	traditional	traditional	ADJ
fcis-28660	12	2	text	text	NOUN
fcis-28660	12	3	classification	classification	NOUN
fcis-28660	12	4	methods	method	NOUN
fcis-28660	12	5	mainly	mainly	ADV
fcis-28660	12	6	rely	rely	VERB
fcis-28660	12	7	on	on	ADP
fcis-28660	12	8	artificially	artificially	ADV
fcis-28660	12	9	designed	design	VERB
fcis-28660	12	10	features	feature	NOUN
fcis-28660	12	11	,	,	PUNCT
fcis-28660	12	12	such	such	ADJ
fcis-28660	12	13	as	as	ADP
fcis-28660	12	14	word	word	NOUN
fcis-28660	12	15	frequency	frequency	NOUN
fcis-28660	12	16	,	,	PUNCT
fcis-28660	12	17	tf	tf	PROPN
fcis-28660	12	18	-	-	PUNCT
fcis-28660	12	19	idf	idf	PROPN
fcis-28660	12	20	,	,	PUNCT
fcis-28660	12	21	etc	etc	X
fcis-28660	12	22	.	.	X
fcis-28660	12	23	however	however	ADV
fcis-28660	12	24	,	,	PUNCT
fcis-28660	12	25	these	these	DET
fcis-28660	12	26	methods	method	NOUN
fcis-28660	12	27	often	often	ADV
fcis-28660	12	28	fail	fail	VERB
fcis-28660	12	29	to	to	PART
fcis-28660	12	30	fully	fully	ADV
fcis-28660	12	31	capture	capture	VERB
fcis-28660	12	32	the	the	DET
fcis-28660	12	33	semantic	semantic	ADJ
fcis-28660	12	34	information	information	NOUN
fcis-28660	12	35	of	of	ADP
fcis-28660	12	36	words	word	NOUN
fcis-28660	12	37	.	.	PUNCT
fcis-28660	13	1	in	in	ADP
fcis-28660	13	2	recent	recent	ADJ
fcis-28660	13	3	years	year	NOUN
fcis-28660	13	4	,	,	PUNCT
fcis-28660	13	5	the	the	DET
fcis-28660	13	6	emergence	emergence	NOUN
fcis-28660	13	7	of	of	ADP
fcis-28660	13	8	word	word	NOUN
fcis-28660	13	9	embedding	embed	VERB
fcis-28660	13	10	technologies	technology	NOUN
fcis-28660	13	11	such	such	ADJ
fcis-28660	13	12	as	as	ADP
fcis-28660	13	13	word2vec	word2vec	X
fcis-28660	13	14	[	[	X
fcis-28660	13	15	2	2	NUM
fcis-28660	13	16	]	]	PUNCT
fcis-28660	13	17	has	have	AUX
fcis-28660	13	18	provided	provide	VERB
fcis-28660	13	19	a	a	DET
fcis-28660	13	20	new	new	ADJ
fcis-28660	13	21	solution	solution	NOUN
fcis-28660	13	22	for	for	ADP
fcis-28660	13	23	text	text	NOUN
fcis-28660	13	24	classification	classification	NOUN
fcis-28660	13	25	.	.	PUNCT
fcis-28660	14	1	this	this	DET
fcis-28660	14	2	paper	paper	NOUN
fcis-28660	14	3	will	will	AUX
fcis-28660	14	4	discuss	discuss	VERB
fcis-28660	14	5	the	the	DET
fcis-28660	14	6	application	application	NOUN
fcis-28660	14	7	of	of	ADP
fcis-28660	14	8	word2vec	word2vec	PRON
fcis-28660	14	9	in	in	ADP
fcis-28660	14	10	chinese	chinese	ADJ
fcis-28660	14	11	text	text	NOUN
fcis-28660	14	12	classification	classification	NOUN
fcis-28660	14	13	and	and	CCONJ
fcis-28660	14	14	its	its	PRON
fcis-28660	14	15	advantages	advantage	NOUN
fcis-28660	14	16	.	.	PUNCT
fcis-28660	15	1	after	after	ADP
fcis-28660	15	2	thinking	think	VERB
fcis-28660	15	3	that	that	SCONJ
fcis-28660	15	4	the	the	DET
fcis-28660	15	5	folk	folk	NOUN
fcis-28660	15	6	formula	formula	NOUN
fcis-28660	15	7	entered	enter	VERB
fcis-28660	15	8	by	by	ADP
fcis-28660	15	9	the	the	DET
fcis-28660	15	10	user	user	NOUN
fcis-28660	15	11	is	be	AUX
fcis-28660	15	12	random	random	ADJ
fcis-28660	15	13	and	and	CCONJ
fcis-28660	15	14	relatively	relatively	ADV
fcis-28660	15	15	oral	oral	ADJ
fcis-28660	15	16	,	,	PUNCT
fcis-28660	15	17	this	this	DET
fcis-28660	15	18	paper	paper	NOUN
fcis-28660	15	19	uses	use	VERB
fcis-28660	15	20	the	the	DET
fcis-28660	15	21	cosine	cosine	NOUN
fcis-28660	15	22	similarity	similarity	NOUN
fcis-28660	15	23	calculation	calculation	NOUN
fcis-28660	15	24	method	method	NOUN
fcis-28660	15	25	,	,	PUNCT
fcis-28660	15	26	so	so	SCONJ
fcis-28660	15	27	that	that	SCONJ
fcis-28660	15	28	the	the	DET
fcis-28660	15	29	text	text	NOUN
fcis-28660	15	30	similarity	similarity	NOUN
fcis-28660	15	31	calculation	calculation	NOUN
fcis-28660	15	32	method	method	NOUN
fcis-28660	15	33	is	be	AUX
fcis-28660	15	34	further	far	ADV
fcis-28660	15	35	updated	update	VERB
fcis-28660	15	36	and	and	CCONJ
fcis-28660	15	37	improved	improve	VERB
fcis-28660	15	38	,	,	PUNCT
fcis-28660	15	39	so	so	SCONJ
fcis-28660	15	40	that	that	SCONJ
fcis-28660	15	41	the	the	DET
fcis-28660	15	42	user	user	NOUN
fcis-28660	15	43	can	can	AUX
fcis-28660	15	44	find	find	VERB
fcis-28660	15	45	the	the	DET
fcis-28660	15	46	most	most	ADV
fcis-28660	15	47	suitable	suitable	ADJ
fcis-28660	15	48	folk	folk	NOUN
fcis-28660	15	49	formula	formula	NOUN
fcis-28660	15	50	more	more	ADV
fcis-28660	15	51	obvious	obvious	ADJ
fcis-28660	15	52	.	.	PUNCT
fcis-28660	16	1	there	there	PRON
fcis-28660	16	2	is	be	VERB
fcis-28660	16	3	also	also	ADV
fcis-28660	16	4	the	the	DET
fcis-28660	16	5	keyword	keyword	NOUN
fcis-28660	16	6	comparison	comparison	NOUN
fcis-28660	16	7	,	,	PUNCT
fcis-28660	16	8	the	the	DET
fcis-28660	16	9	user	user	NOUN
fcis-28660	16	10	input	input	NOUN
fcis-28660	16	11	of	of	ADP
fcis-28660	16	12	the	the	DET
fcis-28660	16	13	disease	disease	NOUN
fcis-28660	16	14	is	be	AUX
fcis-28660	16	15	compared	compare	VERB
fcis-28660	16	16	one	one	NUM
fcis-28660	16	17	by	by	ADP
fcis-28660	16	18	one	one	NUM
fcis-28660	16	19	,	,	PUNCT
fcis-28660	16	20	the	the	DET
fcis-28660	16	21	similarity	similarity	NOUN
fcis-28660	16	22	comparison	comparison	NOUN
fcis-28660	16	23	calculation	calculation	NOUN
fcis-28660	16	24	,	,	PUNCT
fcis-28660	16	25	and	and	CCONJ
fcis-28660	16	26	then	then	ADV
fcis-28660	16	27	the	the	DET
fcis-28660	16	28	recommendation	recommendation	NOUN
fcis-28660	16	29	system	system	NOUN
fcis-28660	16	30	is	be	AUX
fcis-28660	16	31	further	far	ADV
fcis-28660	16	32	improved	improve	VERB
fcis-28660	16	33	.	.	PUNCT
fcis-28660	17	1	2	2	X
fcis-28660	17	2	.	.	X
fcis-28660	17	3	word2vec	word2vec	PROPN
fcis-28660	17	4	model	model	PROPN
fcis-28660	17	5	word2vec	word2vec	PROPN
fcis-28660	17	6	is	be	AUX
fcis-28660	17	7	an	an	DET
fcis-28660	17	8	efficient	efficient	ADJ
fcis-28660	17	9	technique	technique	NOUN
fcis-28660	17	10	for	for	ADP
fcis-28660	17	11	creating	create	VERB
fcis-28660	17	12	word	word	NOUN
fcis-28660	17	13	embeddings	embedding	NOUN
fcis-28660	17	14	where	where	SCONJ
fcis-28660	17	15	each	each	DET
fcis-28660	17	16	word	word	NOUN
fcis-28660	17	17	is	be	AUX
fcis-28660	17	18	represented	represent	VERB
fcis-28660	17	19	by	by	ADP
fcis-28660	17	20	a	a	DET
fcis-28660	17	21	fixed	fix	VERB
fcis-28660	17	22	-	-	PUNCT
fcis-28660	17	23	length	length	NOUN
fcis-28660	17	24	vector	vector	NOUN
fcis-28660	17	25	using	use	VERB
fcis-28660	17	26	a	a	DET
fcis-28660	17	27	two	two	NUM
fcis-28660	17	28	-	-	PUNCT
fcis-28660	17	29	layer	layer	NOUN
fcis-28660	17	30	neural	neural	ADJ
fcis-28660	17	31	network	network	NOUN
fcis-28660	17	32	.	.	PUNCT
fcis-28660	18	1	word2vec	word2vec	PROPN
fcis-28660	18	2	technology	technology	PROPN
fcis-28660	18	3	mainly	mainly	ADV
fcis-28660	18	4	includes	include	VERB
fcis-28660	18	5	:	:	PUNCT
fcis-28660	18	6	continuous	continuous	ADJ
fcis-28660	18	7	word	word	NOUN
fcis-28660	18	8	bag	bag	NOUN
fcis-28660	18	9	(	(	PUNCT
fcis-28660	18	10	cbow	cbow	VERB
fcis-28660	18	11	)	)	PUNCT
fcis-28660	19	1	[	[	X
fcis-28660	19	2	3	3	NUM
fcis-28660	19	3	]	]	X
fcis-28660	19	4	model	model	NOUN
fcis-28660	19	5	and	and	CCONJ
fcis-28660	19	6	skit	skit	NOUN
fcis-28660	19	7	-	-	PUNCT
fcis-28660	19	8	gram	gram	NOUN
fcis-28660	19	9	[	[	X
fcis-28660	19	10	4	4	NUM
fcis-28660	19	11	]	]	PUNCT
fcis-28660	19	12	model	model	NOUN
fcis-28660	19	13	,	,	PUNCT
fcis-28660	19	14	which	which	PRON
fcis-28660	19	15	can	can	AUX
fcis-28660	19	16	provide	provide	VERB
fcis-28660	19	17	highquality	highquality	NOUN
fcis-28660	19	18	word	word	NOUN
fcis-28660	19	19	embedding	embed	VERB
fcis-28660	19	20	vector	vector	NOUN
fcis-28660	19	21	.	.	PUNCT
fcis-28660	20	1	where	where	SCONJ
fcis-28660	20	2	cbow	cbow	VERB
fcis-28660	20	3	predicts	predict	VERB
fcis-28660	20	4	the	the	DET
fcis-28660	20	5	word	word	NOUN
fcis-28660	20	6	for	for	ADP
fcis-28660	20	7	a	a	DET
fcis-28660	20	8	given	give	VERB
fcis-28660	20	9	context	context	NOUN
fcis-28660	20	10	,	,	PUNCT
fcis-28660	20	11	skip	skip	NOUN
fcis-28660	20	12	-	-	PUNCT
fcis-28660	20	13	gram	gram	NOUN
fcis-28660	20	14	predicts	predict	VERB
fcis-28660	20	15	the	the	DET
fcis-28660	20	16	context	context	NOUN
fcis-28660	20	17	for	for	ADP
fcis-28660	20	18	a	a	DET
fcis-28660	20	19	given	give	VERB
fcis-28660	20	20	word	word	NOUN
fcis-28660	20	21	,	,	PUNCT
fcis-28660	20	22	and	and	CCONJ
fcis-28660	20	23	its	its	PRON
fcis-28660	20	24	essential	essential	ADJ
fcis-28660	20	25	feature	feature	NOUN
fcis-28660	20	26	is	be	AUX
fcis-28660	20	27	to	to	PART
fcis-28660	20	28	identify	identify	VERB
fcis-28660	20	29	a	a	DET
fcis-28660	20	30	word	word	NOUN
fcis-28660	20	31	as	as	ADP
fcis-28660	20	32	a	a	DET
fcis-28660	20	33	vector	vector	NOUN
fcis-28660	20	34	.	.	PUNCT
fcis-28660	21	1	therefore	therefore	ADV
fcis-28660	21	2	,	,	PUNCT
fcis-28660	21	3	word2vec	word2vec	X
fcis-28660	21	4	word	word	NOUN
fcis-28660	21	5	vector	vector	NOUN
fcis-28660	21	6	can	can	AUX
fcis-28660	21	7	better	well	ADV
fcis-28660	21	8	express	express	VERB
fcis-28660	21	9	the	the	DET
fcis-28660	21	10	similarity	similarity	NOUN
fcis-28660	21	11	and	and	CCONJ
fcis-28660	21	12	analogy	analogy	NOUN
fcis-28660	21	13	relationship	relationship	NOUN
fcis-28660	21	14	between	between	ADP
fcis-28660	21	15	different	different	ADJ
fcis-28660	21	16	words	word	NOUN
fcis-28660	21	17	.	.	PUNCT
fcis-28660	22	1	word2vec	word2vec	X
fcis-28660	22	2	pre	pre	VERB
fcis-28660	22	3	-	-	ADJ
fcis-28660	22	4	trained	train	VERB
fcis-28660	22	5	word	word	NOUN
fcis-28660	22	6	vector	vector	NOUN
fcis-28660	22	7	will	will	AUX
fcis-28660	22	8	also	also	ADV
fcis-28660	22	9	consider	consider	VERB
fcis-28660	22	10	the	the	DET
fcis-28660	22	11	relationship	relationship	NOUN
fcis-28660	22	12	between	between	ADP
fcis-28660	22	13	the	the	DET
fcis-28660	22	14	order	order	NOUN
fcis-28660	22	15	and	and	CCONJ
fcis-28660	22	16	context	context	NOUN
fcis-28660	22	17	of	of	ADP
fcis-28660	22	18	words	word	NOUN
fcis-28660	22	19	.	.	PUNCT
fcis-28660	23	1	considering	consider	VERB
fcis-28660	23	2	the	the	DET
fcis-28660	23	3	distribution	distribution	NOUN
fcis-28660	23	4	representation	representation	NOUN
fcis-28660	23	5	of	of	ADP
fcis-28660	23	6	emotion	emotion	NOUN
fcis-28660	23	7	words	word	NOUN
fcis-28660	23	8	themselves	themselves	PRON
fcis-28660	23	9	,	,	PUNCT
fcis-28660	23	10	it	it	PRON
fcis-28660	23	11	can	can	AUX
fcis-28660	23	12	map	map	VERB
fcis-28660	23	13	words	word	NOUN
fcis-28660	23	14	with	with	ADP
fcis-28660	23	15	similar	similar	ADJ
fcis-28660	23	16	semantics	semantic	NOUN
fcis-28660	23	17	into	into	ADP
fcis-28660	23	18	similar	similar	ADJ
fcis-28660	23	19	vector	vector	NOUN
fcis-28660	23	20	spaces	space	NOUN
fcis-28660	23	21	.	.	PUNCT
fcis-28660	24	1	thus	thus	ADV
fcis-28660	24	2	,	,	PUNCT
fcis-28660	24	3	the	the	DET
fcis-28660	24	4	semantic	semantic	ADJ
fcis-28660	24	5	relation	relation	NOUN
fcis-28660	24	6	between	between	ADP
fcis-28660	24	7	words	word	NOUN
fcis-28660	24	8	can	can	AUX
fcis-28660	24	9	be	be	AUX
fcis-28660	24	10	realized	realize	VERB
fcis-28660	24	11	.	.	PUNCT
fcis-28660	25	1	compared	compare	VERB
fcis-28660	25	2	with	with	ADP
fcis-28660	25	3	the	the	DET
fcis-28660	25	4	current	current	ADJ
fcis-28660	25	5	popular	popular	ADJ
fcis-28660	25	6	bert	bert	NOUN
fcis-28660	25	7	model	model	NOUN
fcis-28660	25	8	[	[	X
fcis-28660	25	9	5	5	NUM
fcis-28660	25	10	]	]	PUNCT
fcis-28660	25	11	,	,	PUNCT
fcis-28660	25	12	word2vec	word2vec	X
fcis-28660	25	13	word	word	NOUN
fcis-28660	25	14	embedding	embed	VERB
fcis-28660	25	15	is	be	AUX
fcis-28660	25	16	simpler	simple	ADJ
fcis-28660	25	17	and	and	CCONJ
fcis-28660	25	18	more	more	ADV
fcis-28660	25	19	efficient	efficient	ADJ
fcis-28660	25	20	.	.	PUNCT
fcis-28660	26	1	the	the	DET
fcis-28660	26	2	language	language	NOUN
fcis-28660	26	3	model	model	NOUN
fcis-28660	26	4	is	be	AUX
fcis-28660	26	5	trained	train	VERB
fcis-28660	26	6	by	by	ADP
fcis-28660	26	7	the	the	DET
fcis-28660	26	8	neural	neural	ADJ
fcis-28660	26	9	network	network	NOUN
fcis-28660	26	10	language	language	NOUN
fcis-28660	26	11	model	model	NOUN
fcis-28660	26	12	to	to	PART
fcis-28660	26	13	train	train	VERB
fcis-28660	26	14	the	the	DET
fcis-28660	26	15	generated	generate	VERB
fcis-28660	26	16	word	word	NOUN
fcis-28660	26	17	vector	vector	NOUN
fcis-28660	26	18	,	,	PUNCT
fcis-28660	26	19	which	which	PRON
fcis-28660	26	20	first	first	ADV
fcis-28660	26	21	realizes	realize	VERB
fcis-28660	26	22	the	the	DET
fcis-28660	26	23	prediction	prediction	NOUN
fcis-28660	26	24	according	accord	VERB
fcis-28660	26	25	to	to	ADP
fcis-28660	26	26	the	the	DET
fcis-28660	26	27	obtained	obtain	VERB
fcis-28660	26	28	probability	probability	NOUN
fcis-28660	26	29	and	and	CCONJ
fcis-28660	26	30	then	then	ADV
fcis-28660	26	31	according	accord	VERB
fcis-28660	26	32	to	to	ADP
fcis-28660	26	33	the	the	DET
fcis-28660	26	34	words	word	NOUN
fcis-28660	26	35	appearing	appear	VERB
fcis-28660	26	36	in	in	ADP
fcis-28660	26	37	the	the	DET
fcis-28660	26	38	context	context	NOUN
fcis-28660	26	39	,	,	PUNCT
fcis-28660	26	40	and	and	CCONJ
fcis-28660	26	41	optimizes	optimize	VERB
fcis-28660	26	42	the	the	DET
fcis-28660	26	43	objective	objective	ADJ
fcis-28660	26	44	function	function	NOUN
fcis-28660	26	45	of	of	ADP
fcis-28660	26	46	the	the	DET
fcis-28660	26	47	model	model	NOUN
fcis-28660	26	48	by	by	ADP
fcis-28660	26	49	constructing	construct	VERB
fcis-28660	26	50	the	the	DET
fcis-28660	26	51	neural	neural	ADJ
fcis-28660	26	52	network	network	NOUN
fcis-28660	26	53	.	.	PUNCT
fcis-28660	27	1	word2vec	word2vec	X
fcis-28660	27	2	is	be	AUX
fcis-28660	27	3	a	a	DET
fcis-28660	27	4	combination	combination	NOUN
fcis-28660	27	5	of	of	ADP
fcis-28660	27	6	models	model	NOUN
fcis-28660	27	7	that	that	PRON
fcis-28660	27	8	do	do	VERB
fcis-28660	27	9	the	the	DET
fcis-28660	27	10	work	work	NOUN
fcis-28660	27	11	of	of	ADP
fcis-28660	27	12	generating	generate	VERB
fcis-28660	27	13	word	word	NOUN
fcis-28660	27	14	vectors	vector	NOUN
fcis-28660	27	15	,	,	PUNCT
fcis-28660	27	16	which	which	PRON
fcis-28660	27	17	can	can	AUX
fcis-28660	27	18	be	be	AUX
fcis-28660	27	19	understood	understand	VERB
fcis-28660	27	20	as	as	ADP
fcis-28660	27	21	simplified	simplified	ADJ
fcis-28660	27	22	neural	neural	ADJ
fcis-28660	27	23	networks	network	NOUN
fcis-28660	27	24	that	that	PRON
fcis-28660	27	25	can	can	AUX
fcis-28660	27	26	represent	represent	VERB
fcis-28660	27	27	words	word	NOUN
fcis-28660	27	28	as	as	ADP
fcis-28660	27	29	low	low	ADJ
fcis-28660	27	30	-	-	PUNCT
fcis-28660	27	31	dimensional	dimensional	ADJ
fcis-28660	27	32	dense	dense	ADJ
fcis-28660	27	33	vectors	vector	NOUN
fcis-28660	27	34	,	,	PUNCT
fcis-28660	27	35	which	which	PRON
fcis-28660	27	36	was	be	AUX
fcis-28660	27	37	proposed	propose	VERB
fcis-28660	27	38	in	in	ADP
fcis-28660	27	39	2013	2013	NUM
fcis-28660	27	40	,	,	PUNCT
fcis-28660	27	41	and	and	CCONJ
fcis-28660	27	42	open	open	ADJ
fcis-28660	27	43	-	-	PUNCT
fcis-28660	27	44	source	source	NOUN
fcis-28660	27	45	computing	computing	NOUN
fcis-28660	27	46	tools	tool	NOUN
fcis-28660	27	47	for	for	ADP
fcis-28660	27	48	the	the	DET
fcis-28660	27	49	same	same	ADJ
fcis-28660	27	50	term	term	NOUN
fcis-28660	27	51	vectors	vector	NOUN
fcis-28660	27	52	.	.	PUNCT
fcis-28660	28	1	these	these	DET
fcis-28660	28	2	models	model	NOUN
fcis-28660	28	3	are	be	AUX
fcis-28660	28	4	generally	generally	ADV
fcis-28660	28	5	three	three	NUM
fcis-28660	28	6	-	-	PUNCT
fcis-28660	28	7	layer	layer	NOUN
fcis-28660	28	8	network	network	NOUN
fcis-28660	28	9	structure	structure	NOUN
fcis-28660	28	10	,	,	PUNCT
fcis-28660	28	11	training	training	NOUN
fcis-28660	28	12	and	and	CCONJ
fcis-28660	28	13	reconstruction	reconstruction	NOUN
fcis-28660	28	14	to	to	PART
fcis-28660	28	15	get	get	VERB
fcis-28660	28	16	the	the	DET
fcis-28660	28	17	desired	desire	VERB
fcis-28660	28	18	word	word	NOUN
fcis-28660	28	19	text	text	NOUN
fcis-28660	28	20	,	,	PUNCT
fcis-28660	28	21	and	and	CCONJ
fcis-28660	28	22	the	the	DET
fcis-28660	28	23	relevant	relevant	ADJ
fcis-28660	28	24	input	input	NOUN
fcis-28660	28	25	words	word	NOUN
fcis-28660	28	26	are	be	AUX
fcis-28660	28	27	guessed	guess	VERB
fcis-28660	28	28	to	to	ADP
fcis-28660	28	29	a	a	DET
fcis-28660	28	30	certain	certain	ADJ
fcis-28660	28	31	degree	degree	NOUN
fcis-28660	28	32	,	,	PUNCT
fcis-28660	28	33	after	after	SCONJ
fcis-28660	28	34	the	the	DET
fcis-28660	28	35	model	model	NOUN
fcis-28660	28	36	is	be	AUX
fcis-28660	28	37	trained	train	VERB
fcis-28660	28	38	,	,	PUNCT
fcis-28660	28	39	word2vec	word2vec	PRON
fcis-28660	28	40	will	will	AUX
fcis-28660	28	41	carry	carry	VERB
fcis-28660	28	42	out	out	ADP
fcis-28660	28	43	one	one	NUM
fcis-28660	28	44	-	-	PUNCT
fcis-28660	28	45	to	to	ADP
fcis-28660	28	46	-	-	PUNCT
fcis-28660	28	47	one	one	NUM
fcis-28660	28	48	relationship	relationship	NOUN
fcis-28660	28	49	mapping	mapping	NOUN
fcis-28660	28	50	between	between	ADP
fcis-28660	28	51	words	word	NOUN
fcis-28660	28	52	and	and	CCONJ
fcis-28660	28	53	vectors	vector	NOUN
fcis-28660	28	54	,	,	PUNCT
fcis-28660	28	55	and	and	CCONJ
fcis-28660	28	56	the	the	DET
fcis-28660	28	57	relationship	relationship	NOUN
fcis-28660	28	58	between	between	ADP
fcis-28660	28	59	vectors	vector	NOUN
fcis-28660	28	60	maps	map	VERB
fcis-28660	28	61	the	the	DET
fcis-28660	28	62	relationship	relationship	NOUN
fcis-28660	28	63	between	between	ADP
fcis-28660	28	64	words	word	NOUN
fcis-28660	28	65	and	and	CCONJ
fcis-28660	28	66	words	word	NOUN
fcis-28660	28	67	.	.	PUNCT
fcis-28660	29	1	as	as	SCONJ
fcis-28660	29	2	shown	show	VERB
fcis-28660	29	3	in	in	ADP
fcis-28660	29	4	figure	figure	NOUN
fcis-28660	29	5	1	1	NUM
fcis-28660	29	6	below	below	ADV
fcis-28660	29	7	.	.	PUNCT
fcis-28660	30	1	cbow	cbow	VERB
fcis-28660	30	2	makes	make	VERB
fcis-28660	30	3	predictions	prediction	NOUN
fcis-28660	30	4	based	base	VERB
fcis-28660	30	5	on	on	ADP
fcis-28660	30	6	some	some	DET
fcis-28660	30	7	context	context	NOUN
fcis-28660	30	8	of	of	ADP
fcis-28660	30	9	the	the	DET
fcis-28660	30	10	present	present	ADJ
fcis-28660	30	11	word	word	NOUN
fcis-28660	30	12	,	,	PUNCT
fcis-28660	30	13	while	while	SCONJ
fcis-28660	30	14	the	the	DET
fcis-28660	30	15	other	other	ADJ
fcis-28660	30	16	model	model	NOUN
fcis-28660	30	17	makes	make	VERB
fcis-28660	30	18	predictions	prediction	NOUN
fcis-28660	30	19	based	base	VERB
fcis-28660	30	20	on	on	ADP
fcis-28660	30	21	some	some	DET
fcis-28660	30	22	context	context	NOUN
fcis-28660	30	23	of	of	ADP
fcis-28660	30	24	the	the	DET
fcis-28660	30	25	present	present	ADJ
fcis-28660	30	26	word	word	NOUN
fcis-28660	30	27	.	.	PUNCT
fcis-28660	31	1	cbow	cbow	VERB
fcis-28660	31	2	predicts	predict	VERB
fcis-28660	31	3	tw	tw	NOUN
fcis-28660	31	4	based	base	VERB
fcis-28660	31	5	on	on	ADP
fcis-28660	31	6	some	some	DET
fcis-28660	31	7	contexts	context	NOUN
fcis-28660	31	8	211	211	NUM
fcis-28660	31	9	,	,	PUNCT
fcis-28660	31	10	,	,	PUNCT
fcis-28660	31	11	,	,	PUNCT
fcis-28660	31	12			PROPN
fcis-28660	31	13	ttt2	ttt2	PROPN
fcis-28660	31	14	t	t	PROPN
fcis-28660	31	15	wwww	wwww	PROPN
fcis-28660	31	16	of	of	ADP
fcis-28660	31	17	the	the	DET
fcis-28660	31	18	present	present	ADJ
fcis-28660	31	19	word	word	NOUN
fcis-28660	31	20	tw	tw	INTJ
fcis-28660	31	21	,	,	PUNCT
fcis-28660	31	22	while	while	SCONJ
fcis-28660	31	23	the	the	DET
fcis-28660	31	24	other	other	ADJ
fcis-28660	31	25	model	model	NOUN
fcis-28660	31	26	predicts	predict	VERB
fcis-28660	31	27	211	211	NUM
fcis-28660	31	28	,	,	PUNCT
fcis-28660	31	29	,	,	PUNCT
fcis-28660	31	30	,	,	PUNCT
fcis-28660	31	31			PROPN
fcis-28660	31	32	ttt2	ttt2	PROPN
fcis-28660	31	33	t	t	PROPN
fcis-28660	31	34	wwww	wwww	PROPN
fcis-28660	31	35	of	of	ADP
fcis-28660	31	36	the	the	DET
fcis-28660	31	37	present	present	ADJ
fcis-28660	31	38	96	96	NUM
fcis-28660	31	39	word	word	NOUN
fcis-28660	31	40	tw	tw	X
fcis-28660	31	41	.	.	PUNCT
fcis-28660	32	1	among	among	ADP
fcis-28660	32	2	them	they	PRON
fcis-28660	32	3	,	,	PUNCT
fcis-28660	32	4	both	both	PRON
fcis-28660	32	5	of	of	ADP
fcis-28660	32	6	them	they	PRON
fcis-28660	32	7	adopt	adopt	VERB
fcis-28660	32	8	the	the	DET
fcis-28660	32	9	hierarchical	hierarchical	ADJ
fcis-28660	32	10	structure	structure	NOUN
fcis-28660	32	11	of	of	ADP
fcis-28660	32	12	input	input	NOUN
fcis-28660	32	13	,	,	PUNCT
fcis-28660	32	14	projection	projection	NOUN
fcis-28660	32	15	and	and	CCONJ
fcis-28660	32	16	output	output	NOUN
fcis-28660	32	17	.	.	PUNCT
fcis-28660	33	1	taking	take	VERB
fcis-28660	33	2	cbow	cbow	NOUN
fcis-28660	33	3	model	model	NOUN
fcis-28660	33	4	to	to	PART
fcis-28660	33	5	implement	implement	VERB
fcis-28660	33	6	word2vec	word2vec	PRON
fcis-28660	33	7	as	as	ADP
fcis-28660	33	8	an	an	DET
fcis-28660	33	9	example	example	NOUN
fcis-28660	33	10	,	,	PUNCT
fcis-28660	33	11	it	it	PRON
fcis-28660	33	12	first	first	ADV
fcis-28660	33	13	uses	use	VERB
fcis-28660	33	14	)	)	PUNCT
fcis-28660	33	15	tion(representahot	tion(representahot	PROPN
fcis-28660	33	16	-one	-one	PUNCT
fcis-28660	33	17	jtx	jtx	NOUN
fcis-28660	33	18			VERB
fcis-28660	33	19	to	to	PART
fcis-28660	33	20	convert	convert	VERB
fcis-28660	33	21	the	the	DET
fcis-28660	33	22	context	context	NOUN
fcis-28660	33	23	mt1t1tmtt	mt1t1tmtt	X
fcis-28660	33	24	wwwwc	wwwwc	PROPN
fcis-28660	33	25			PROPN
fcis-28660	33	26	,	,	PUNCT
fcis-28660	33	27	...	...	PUNCT
fcis-28660	33	28	,	,	PUNCT
fcis-28660	33	29	,	,	PUNCT
fcis-28660	33	30	,	,	PUNCT
fcis-28660	33	31	...	...	PUNCT
fcis-28660	33	32	,	,	PUNCT
fcis-28660	33	33	:	:	PUNCT
fcis-28660	33	34	of	of	ADP
fcis-28660	33	35	word	word	NOUN
fcis-28660	33	36	tw	tw	NOUN
fcis-28660	33	37	into	into	ADP
fcis-28660	33	38	the	the	DET
fcis-28660	33	39	input	input	NOUN
fcis-28660	33	40	word	word	NOUN
fcis-28660	33	41	vector	vector	NOUN
fcis-28660	33	42	(	(	PUNCT
fcis-28660	33	43	jtv	jtv	PROPN
fcis-28660	33	44			ADV
fcis-28660	33	45	):	):	PUNCT
fcis-28660	33	46	figure	figure	NOUN
fcis-28660	33	47	1	1	NUM
fcis-28660	33	48	.	.	PUNCT
fcis-28660	33	49	cbow	cbow	VERB
fcis-28660	33	50	and	and	CCONJ
fcis-28660	33	51	skip	skip	VERB
fcis-28660	33	52	gram	gram	NOUN
fcis-28660	33	53	model	model	NOUN
fcis-28660	33	54	diagram	diagram	NOUN
fcis-28660	33	55	}	}	PUNCT
fcis-28660	33	56	0{\	0{\	PROPN
fcis-28660	33	57	}	}	PUNCT
fcis-28660	33	58	,	,	PUNCT
fcis-28660	33	59	...	...	PUNCT
fcis-28660	33	60	,	,	PUNCT
fcis-28660	33	61	{	{	PUNCT
fcis-28660	33	62	,	,	PUNCT
fcis-28660	33	63	mmjvv	mmjvv	VERB
fcis-28660	33	64	jtxjt	jtxjt	PROPN
fcis-28660	33	65			PROPN
fcis-28660	33	66			PROPN
fcis-28660	33	67	then	then	ADV
fcis-28660	33	68	,	,	PUNCT
fcis-28660	33	69	the	the	DET
fcis-28660	33	70	relative	relative	ADJ
fcis-28660	33	71	context	context	NOUN
fcis-28660	33	72	input	input	NOUN
fcis-28660	33	73	word	word	NOUN
fcis-28660	33	74	vector	vector	NOUN
fcis-28660	33	75	mtttmt	mtttmt	PROPN
fcis-28660	33	76	vvvv	vvvv	PROPN
fcis-28660	33	77			PROPN
fcis-28660	33	78	,	,	PUNCT
fcis-28660	33	79	...	...	PUNCT
fcis-28660	33	80	,	,	PUNCT
fcis-28660	33	81	,	,	PUNCT
fcis-28660	33	82	,	,	PUNCT
fcis-28660	33	83	...	...	PUNCT
fcis-28660	33	84	11	11	NUM
fcis-28660	33	85	of	of	ADP
fcis-28660	33	86	the	the	DET
fcis-28660	33	87	current	current	ADJ
fcis-28660	33	88	word	word	NOUN
fcis-28660	33	89	tw	tw	NOUN
fcis-28660	33	90	is	be	AUX
fcis-28660	33	91	averaged	average	VERB
fcis-28660	33	92	,	,	PUNCT
fcis-28660	33	93	and	and	CCONJ
fcis-28660	33	94	this	this	DET
fcis-28660	33	95	value	value	NOUN
fcis-28660	33	96	is	be	AUX
fcis-28660	33	97	used	use	VERB
fcis-28660	33	98	as	as	ADP
fcis-28660	33	99	the	the	DET
fcis-28660	33	100	input	input	NOUN
fcis-28660	33	101	of	of	ADP
fcis-28660	33	102	the	the	DET
fcis-28660	33	103	model	model	NOUN
fcis-28660	33	104	:	:	PUNCT
fcis-28660	33	105			PROPN
fcis-28660	33	106			PROPN
fcis-28660	33	107			PROPN
fcis-28660	33	108	j	j	PROPN
fcis-28660	33	109	mmjv	mmjv	PROPN
fcis-28660	33	110	m	m	PROPN
fcis-28660	33	111	v	v	ADP
fcis-28660	33	112	jtt	jtt	PROPN
fcis-28660	33	113	}	}	PUNCT
fcis-28660	33	114	0/	0/	NUM
fcis-28660	33	115	{	{	PUNCT
fcis-28660	33	116	}	}	PUNCT
fcis-28660	33	117	,	,	PUNCT
fcis-28660	33	118	...	...	PUNCT
fcis-28660	33	119	,	,	PUNCT
fcis-28660	33	120	{	{	PUNCT
fcis-28660	33	121	,	,	PUNCT
fcis-28660	33	122	2	2	NUM
fcis-28660	33	123	1	1	NUM
fcis-28660	33	124	ˆ	ˆ	NOUN
fcis-28660	33	125	this	this	DET
fcis-28660	33	126	step	step	NOUN
fcis-28660	33	127	is	be	AUX
fcis-28660	33	128	called	call	VERB
fcis-28660	33	129	projection	projection	NOUN
fcis-28660	33	130	.	.	PUNCT
fcis-28660	34	1	the	the	DET
fcis-28660	34	2	softmax	softmax	NOUN
fcis-28660	34	3	(	(	PUNCT
fcis-28660	34	4	)	)	PUNCT
fcis-28660	34	5	function	function	NOUN
fcis-28660	34	6	is	be	AUX
fcis-28660	34	7	then	then	ADV
fcis-28660	34	8	used	use	VERB
fcis-28660	34	9	to	to	PART
fcis-28660	34	10	output	output	VERB
fcis-28660	34	11	the	the	DET
fcis-28660	34	12	probability	probability	NOUN
fcis-28660	34	13	that	that	SCONJ
fcis-28660	34	14	the	the	DET
fcis-28660	34	15	word	word	NOUN
fcis-28660	34	16	is	be	AUX
fcis-28660	34	17	a	a	DET
fcis-28660	34	18	word	word	NOUN
fcis-28660	34	19	,	,	PUNCT
fcis-28660	34	20	thereby	thereby	ADV
fcis-28660	34	21	reducing	reduce	VERB
fcis-28660	34	22	the	the	DET
fcis-28660	34	23	computation	computation	NOUN
fcis-28660	34	24	time	time	NOUN
fcis-28660	34	25	:	:	PUNCT
fcis-28660	34	26	tvuz	tvuz	PROPN
fcis-28660	34	27	ˆ	ˆ	PROPN
fcis-28660	34	28	vwvusoftmaxzsoftmaxwwwwwpy	vwvusoftmaxzsoftmaxwwwwwpy	NOUN
fcis-28660	34	29	tiimtttmtii	tiimtttmtii	PROPN
fcis-28660	34	30			PROPN
fcis-28660	34	31			PROPN
fcis-28660	34	32	ｉ	ｉ	PROPN
fcis-28660	34	33	　	　	SPACE
fcis-28660	34	34	)	)	PUNCT
fcis-28660	34	35	,	,	PUNCT
fcis-28660	34	36	ˆ()(),	ˆ()(),	NOUN
fcis-28660	34	37	...	...	PUNCT
fcis-28660	34	38	,,,	,,,	PUNCT
fcis-28660	34	39	...	...	PUNCT
fcis-28660	34	40	,|(ˆ	,|(ˆ	PUNCT
fcis-28660	34	41	11	11	NUM
fcis-28660	34	42	therefore	therefore	ADV
fcis-28660	34	43	,	,	PUNCT
fcis-28660	34	44	the	the	DET
fcis-28660	34	45	vu	vu	PROPN
fcis-28660	34	46	,	,	PUNCT
fcis-28660	34	47	word	word	NOUN
fcis-28660	34	48	vector	vector	NOUN
fcis-28660	34	49	matrix	matrix	NOUN
fcis-28660	34	50	is	be	AUX
fcis-28660	34	51	the	the	DET
fcis-28660	34	52	parameter	parameter	NOUN
fcis-28660	34	53	of	of	ADP
fcis-28660	34	54	the	the	DET
fcis-28660	34	55	model	model	NOUN
fcis-28660	34	56	,	,	PUNCT
fcis-28660	34	57	and	and	CCONJ
fcis-28660	34	58	for	for	ADP
fcis-28660	34	59	the	the	DET
fcis-28660	34	60	central	central	ADJ
fcis-28660	34	61	word	word	NOUN
fcis-28660	34	62	tw	tw	NOUN
fcis-28660	34	63	,	,	PUNCT
fcis-28660	34	64	the	the	DET
fcis-28660	34	65	cbow	cbow	NOUN
fcis-28660	34	66	model	model	NOUN
fcis-28660	34	67	calculates	calculate	VERB
fcis-28660	34	68	its	its	PRON
fcis-28660	34	69	loss	loss	NOUN
fcis-28660	34	70	as	as	ADP
fcis-28660	34	71	:	:	PUNCT
fcis-28660	34	72			NOUN
fcis-28660	34	73			NOUN
fcis-28660	35	1			VERB
fcis-28660	35	2			PROPN
fcis-28660	35	3			PROPN
fcis-28660	35	4			PROPN
fcis-28660	35	5			PROPN
fcis-28660	35	6			PROPN
fcis-28660	35	7			PROPN
fcis-28660	35	8			PROPN
fcis-28660	35	9			PROPN
fcis-28660	35	10	||	||	NOUN
fcis-28660	35	11	1	1	NUM
fcis-28660	35	12	||	||	NOUN
fcis-28660	35	13	1	1	NUM
fcis-28660	35	14	||	||	NOUN
fcis-28660	35	15	1	1	NUM
fcis-28660	35	16	11	11	NUM
fcis-28660	35	17	ˆˆ	ˆˆ	NOUN
fcis-28660	35	18	ˆ	ˆ	NOUN
fcis-28660	35	19	ˆ	ˆ	ADV
fcis-28660	35	20	,	,	PUNCT
fcis-28660	35	21	...	...	PUNCT
fcis-28660	35	22	,	,	PUNCT
fcis-28660	35	23	,	,	PUNCT
fcis-28660	35	24	,	,	PUNCT
fcis-28660	35	25	...	...	PUNCT
fcis-28660	35	26	,	,	PUNCT
fcis-28660	35	27	|	|	ADV
fcis-28660	35	28	ˆ	ˆ	VERB
fcis-28660	35	29	v	v	X
fcis-28660	35	30	k	k	PROPN
fcis-28660	35	31	kt	kt	PROPN
fcis-28660	35	32	v	v	PROPN
fcis-28660	35	33	k	k	PROPN
fcis-28660	35	34	tktt	tktt	PROPN
fcis-28660	35	35	v	v	PROPN
fcis-28660	35	36	k	k	PROPN
fcis-28660	35	37	tk	tk	PROPN
fcis-28660	35	38	tt	tt	PROPN
fcis-28660	35	39	t	t	PROPN
fcis-28660	35	40	mtttmtt	mtttmtt	PROPN
fcis-28660	35	41	t	t	PROPN
fcis-28660	35	42	zexplogz	zexplogz	X
fcis-28660	35	43	)	)	PUNCT
fcis-28660	35	44	vexp(ulogvu	vexp(ulogvu	PROPN
fcis-28660	35	45	)	)	PUNCT
fcis-28660	36	1	vexp(u	vexp(u	ADV
fcis-28660	36	2	)	)	PUNCT
fcis-28660	36	3	vexp(u	vexp(u	ADP
fcis-28660	36	4	log	log	NOUN
fcis-28660	36	5	)	)	PUNCT
fcis-28660	36	6	softmax(zlog	softmax(zlog	PROPN
fcis-28660	36	7	)	)	PUNCT
fcis-28660	36	8	wwwwlogp(w	wwwwlogp(w	VERB
fcis-28660	36	9	y	y	PROPN
fcis-28660	36	10	logl	logl	PROPN
fcis-28660	36	11	therefore	therefore	ADV
fcis-28660	36	12	,	,	PUNCT
fcis-28660	36	13	the	the	DET
fcis-28660	36	14	empirical	empirical	ADJ
fcis-28660	36	15	risk	risk	NOUN
fcis-28660	36	16	of	of	ADP
fcis-28660	36	17	the	the	DET
fcis-28660	36	18	model	model	NOUN
fcis-28660	36	19	is	be	AUX
fcis-28660	36	20	:	:	PUNCT
fcis-28660	36	21			NUM
fcis-28660	36	22			ADJ
fcis-28660	36	23			PROPN
fcis-28660	36	24	mt	mt	PROPN
fcis-28660	36	25	mtw	mtw	NOUN
fcis-28660	37	1	ty	ty	INTJ
fcis-28660	37	2	log	log	NOUN
fcis-28660	37	3	ˆ	ˆ	ADV
fcis-28660	37	4	in	in	ADP
fcis-28660	37	5	general	general	ADJ
fcis-28660	37	6	,	,	PUNCT
fcis-28660	37	7	since	since	SCONJ
fcis-28660	37	8	cbow	cbow	VERB
fcis-28660	37	9	trains	train	VERB
fcis-28660	37	10	the	the	DET
fcis-28660	37	11	model	model	NOUN
fcis-28660	37	12	in	in	ADP
fcis-28660	37	13	a	a	DET
fcis-28660	37	14	linear	linear	ADJ
fcis-28660	37	15	context	context	NOUN
fcis-28660	37	16	,	,	PUNCT
fcis-28660	37	17	it	it	PRON
fcis-28660	37	18	is	be	AUX
fcis-28660	37	19	better	well	ADV
fcis-28660	37	20	able	able	ADJ
fcis-28660	37	21	to	to	PART
fcis-28660	37	22	express	express	VERB
fcis-28660	37	23	the	the	DET
fcis-28660	37	24	semantic	semantic	ADJ
fcis-28660	37	25	similarity	similarity	NOUN
fcis-28660	37	26	between	between	ADP
fcis-28660	37	27	words	word	NOUN
fcis-28660	37	28	to	to	ADP
fcis-28660	37	29	a	a	DET
fcis-28660	37	30	certain	certain	ADJ
fcis-28660	37	31	extent	extent	NOUN
fcis-28660	37	32	.	.	PUNCT
fcis-28660	38	1	for	for	ADP
fcis-28660	38	2	example	example	NOUN
fcis-28660	38	3	:	:	PUNCT
fcis-28660	38	4	the	the	DET
fcis-28660	38	5	word	word	NOUN
fcis-28660	38	6	segmentation	segmentation	NOUN
fcis-28660	38	7	operation	operation	NOUN
fcis-28660	38	8	of	of	ADP
fcis-28660	38	9	the	the	DET
fcis-28660	38	10	"	"	PUNCT
fcis-28660	38	11	intelligent	intelligent	ADJ
fcis-28660	38	12	chinese	chinese	ADJ
fcis-28660	38	13	medicine	medicine	NOUN
fcis-28660	38	14	prescription	prescription	NOUN
fcis-28660	38	15	system	system	NOUN
fcis-28660	38	16	"	"	PUNCT
fcis-28660	38	17	will	will	AUX
fcis-28660	38	18	get	get	VERB
fcis-28660	38	19	the	the	DET
fcis-28660	38	20	word	word	NOUN
fcis-28660	38	21	segmentation	segmentation	NOUN
fcis-28660	38	22	effect	effect	NOUN
fcis-28660	38	23	of	of	ADP
fcis-28660	38	24	intelligent	intelligent	ADJ
fcis-28660	38	25	,	,	PUNCT
fcis-28660	38	26	chinese	chinese	ADJ
fcis-28660	38	27	medicine	medicine	NOUN
fcis-28660	38	28	,	,	PUNCT
fcis-28660	38	29	folk	folk	NOUN
fcis-28660	38	30	prescription	prescription	NOUN
fcis-28660	38	31	and	and	CCONJ
fcis-28660	38	32	system	system	NOUN
fcis-28660	38	33	.	.	PUNCT
fcis-28660	39	1	after	after	ADP
fcis-28660	39	2	word	word	NOUN
fcis-28660	39	3	segmentation	segmentation	NOUN
fcis-28660	39	4	,	,	PUNCT
fcis-28660	39	5	it	it	PRON
fcis-28660	39	6	will	will	AUX
fcis-28660	39	7	enter	enter	VERB
fcis-28660	39	8	the	the	DET
fcis-28660	39	9	output	output	NOUN
fcis-28660	39	10	layer	layer	NOUN
fcis-28660	39	11	for	for	ADP
fcis-28660	39	12	input	input	NOUN
fcis-28660	39	13	,	,	PUNCT
fcis-28660	39	14	and	and	CCONJ
fcis-28660	39	15	for	for	ADP
fcis-28660	39	16	each	each	DET
fcis-28660	39	17	word	word	NOUN
fcis-28660	39	18	,	,	PUNCT
fcis-28660	39	19	it	it	PRON
fcis-28660	39	20	has	have	VERB
fcis-28660	39	21	its	its	PRON
fcis-28660	39	22	own	own	ADJ
fcis-28660	39	23	corresponding	corresponding	ADJ
fcis-28660	39	24	input	input	NOUN
fcis-28660	39	25	layer	layer	NOUN
fcis-28660	39	26	.	.	PUNCT
fcis-28660	40	1	the	the	DET
fcis-28660	40	2	meaning	meaning	NOUN
fcis-28660	40	3	expressed	express	VERB
fcis-28660	40	4	by	by	ADP
fcis-28660	40	5	sum	sum	NOUN
fcis-28660	40	6	in	in	ADP
fcis-28660	40	7	figure	figure	NOUN
fcis-28660	40	8	1	1	NUM
fcis-28660	40	9	is	be	AUX
fcis-28660	40	10	to	to	PART
fcis-28660	40	11	sum	sum	VERB
fcis-28660	40	12	"	"	PUNCT
fcis-28660	40	13	intelligence	intelligence	NOUN
fcis-28660	40	14	"	"	PUNCT
fcis-28660	40	15	,	,	PUNCT
fcis-28660	40	16	"	"	PUNCT
fcis-28660	40	17	traditional	traditional	ADJ
fcis-28660	40	18	chinese	chinese	ADJ
fcis-28660	40	19	medicine	medicine	NOUN
fcis-28660	40	20	"	"	PUNCT
fcis-28660	40	21	,	,	PUNCT
fcis-28660	40	22	"	"	PUNCT
fcis-28660	40	23	recommendation	recommendation	NOUN
fcis-28660	40	24	"	"	PUNCT
fcis-28660	40	25	and	and	CCONJ
fcis-28660	40	26	"	"	PUNCT
fcis-28660	40	27	system	system	NOUN
fcis-28660	40	28	"	"	PUNCT
fcis-28660	40	29	in	in	ADP
fcis-28660	40	30	the	the	DET
fcis-28660	40	31	input	input	NOUN
fcis-28660	40	32	layer	layer	NOUN
fcis-28660	40	33	for	for	ADP
fcis-28660	40	34	feature	feature	NOUN
fcis-28660	40	35	words	word	NOUN
fcis-28660	40	36	vector	vector	NOUN
fcis-28660	40	37	.	.	PUNCT
fcis-28660	41	1	under	under	ADP
fcis-28660	41	2	the	the	DET
fcis-28660	41	3	study	study	NOUN
fcis-28660	41	4	of	of	ADP
fcis-28660	41	5	neural	neural	ADJ
fcis-28660	41	6	network	network	NOUN
fcis-28660	41	7	language	language	NOUN
fcis-28660	41	8	model	model	NOUN
fcis-28660	41	9	.	.	PUNCT
fcis-28660	42	1	word2vec	word2vec	PROPN
fcis-28660	42	2	is	be	AUX
fcis-28660	42	3	used	use	VERB
fcis-28660	42	4	to	to	PART
fcis-28660	42	5	improve	improve	VERB
fcis-28660	42	6	the	the	DET
fcis-28660	42	7	neural	neural	ADJ
fcis-28660	42	8	network	network	NOUN
fcis-28660	42	9	language	language	NOUN
fcis-28660	42	10	model	model	NOUN
fcis-28660	42	11	in	in	ADP
fcis-28660	42	12	the	the	DET
fcis-28660	42	13	following	follow	VERB
fcis-28660	42	14	aspects	aspect	NOUN
fcis-28660	42	15	.	.	PUNCT
fcis-28660	43	1	improving	improve	VERB
fcis-28660	43	2	the	the	DET
fcis-28660	43	3	frequency	frequency	NOUN
fcis-28660	43	4	of	of	ADP
fcis-28660	43	5	words	word	NOUN
fcis-28660	43	6	in	in	ADP
fcis-28660	43	7	the	the	DET
fcis-28660	43	8	corpus	corpus	NOUN
fcis-28660	43	9	is	be	AUX
fcis-28660	43	10	the	the	DET
fcis-28660	43	11	first	first	ADJ
fcis-28660	43	12	prerequisite	prerequisite	NOUN
fcis-28660	43	13	for	for	ADP
fcis-28660	43	14	data	datum	NOUN
fcis-28660	43	15	training	training	NOUN
fcis-28660	43	16	.	.	PUNCT
fcis-28660	44	1	because	because	SCONJ
fcis-28660	44	2	adding	add	VERB
fcis-28660	44	3	words	word	NOUN
fcis-28660	44	4	with	with	ADP
fcis-28660	44	5	low	low	ADJ
fcis-28660	44	6	frequency	frequency	NOUN
fcis-28660	44	7	to	to	ADP
fcis-28660	44	8	the	the	DET
fcis-28660	44	9	dictionary	dictionary	NOUN
fcis-28660	44	10	not	not	PART
fcis-28660	44	11	only	only	ADV
fcis-28660	44	12	takes	take	VERB
fcis-28660	44	13	up	up	ADP
fcis-28660	44	14	a	a	DET
fcis-28660	44	15	lot	lot	NOUN
fcis-28660	44	16	of	of	ADP
fcis-28660	44	17	memory	memory	NOUN
fcis-28660	44	18	space	space	NOUN
fcis-28660	44	19	,	,	PUNCT
fcis-28660	44	20	but	but	CCONJ
fcis-28660	44	21	also	also	ADV
fcis-28660	44	22	has	have	VERB
fcis-28660	44	23	a	a	DET
fcis-28660	44	24	great	great	ADJ
fcis-28660	44	25	impact	impact	NOUN
fcis-28660	44	26	on	on	ADP
fcis-28660	44	27	the	the	DET
fcis-28660	44	28	frequency	frequency	NOUN
fcis-28660	44	29	of	of	ADP
fcis-28660	44	30	training	training	NOUN
fcis-28660	44	31	.	.	PUNCT
fcis-28660	45	1	at	at	ADP
fcis-28660	45	2	the	the	DET
fcis-28660	45	3	same	same	ADJ
fcis-28660	45	4	time	time	NOUN
fcis-28660	45	5	,	,	PUNCT
fcis-28660	45	6	if	if	SCONJ
fcis-28660	45	7	the	the	DET
fcis-28660	45	8	words	word	NOUN
fcis-28660	45	9	with	with	ADP
fcis-28660	45	10	fewer	few	ADJ
fcis-28660	45	11	occurrences	occurrence	NOUN
fcis-28660	45	12	do	do	AUX
fcis-28660	45	13	not	not	PART
fcis-28660	45	14	meet	meet	VERB
fcis-28660	45	15	its	its	PRON
fcis-28660	45	16	training	training	NOUN
fcis-28660	45	17	times	time	NOUN
fcis-28660	45	18	,	,	PUNCT
fcis-28660	45	19	the	the	DET
fcis-28660	45	20	accuracy	accuracy	NOUN
fcis-28660	45	21	of	of	ADP
fcis-28660	45	22	the	the	DET
fcis-28660	45	23	training	training	NOUN
fcis-28660	45	24	word	word	NOUN
fcis-28660	45	25	vector	vector	NOUN
fcis-28660	45	26	will	will	AUX
fcis-28660	45	27	also	also	ADV
fcis-28660	45	28	decline	decline	VERB
fcis-28660	45	29	,	,	PUNCT
fcis-28660	45	30	so	so	CCONJ
fcis-28660	45	31	the	the	DET
fcis-28660	45	32	use	use	NOUN
fcis-28660	45	33	of	of	ADP
fcis-28660	45	34	word2vec	word2vec	PRON
fcis-28660	45	35	these	these	DET
fcis-28660	45	36	noises	noise	NOUN
fcis-28660	45	37	will	will	AUX
fcis-28660	45	38	be	be	AUX
fcis-28660	45	39	eliminated	eliminate	VERB
fcis-28660	45	40	,	,	PUNCT
fcis-28660	45	41	that	that	PRON
fcis-28660	45	42	is	be	AUX
fcis-28660	45	43	to	to	PART
fcis-28660	45	44	say	say	VERB
fcis-28660	45	45	,	,	PUNCT
fcis-28660	45	46	the	the	DET
fcis-28660	45	47	words	word	NOUN
fcis-28660	45	48	with	with	ADP
fcis-28660	45	49	small	small	ADJ
fcis-28660	45	50	occurrences	occurrence	NOUN
fcis-28660	45	51	of	of	ADP
fcis-28660	45	52	words	word	NOUN
fcis-28660	45	53	in	in	ADP
fcis-28660	45	54	the	the	DET
fcis-28660	45	55	vocabulary	vocabulary	NOUN
fcis-28660	45	56	will	will	AUX
fcis-28660	45	57	be	be	AUX
fcis-28660	45	58	ignored	ignore	VERB
fcis-28660	45	59	.	.	PUNCT
fcis-28660	46	1	the	the	DET
fcis-28660	46	2	input	input	NOUN
fcis-28660	46	3	layer	layer	NOUN
fcis-28660	46	4	is	be	AUX
fcis-28660	46	5	entered	enter	VERB
fcis-28660	46	6	according	accord	VERB
fcis-28660	46	7	to	to	ADP
fcis-28660	46	8	the	the	DET
fcis-28660	46	9	sum	sum	NOUN
fcis-28660	46	10	of	of	ADP
fcis-28660	46	11	the	the	DET
fcis-28660	46	12	word	word	NOUN
fcis-28660	46	13	vectors	vector	NOUN
fcis-28660	46	14	,	,	PUNCT
fcis-28660	46	15	which	which	PRON
fcis-28660	46	16	is	be	AUX
fcis-28660	46	17	different	different	ADJ
fcis-28660	46	18	from	from	ADP
fcis-28660	46	19	the	the	DET
fcis-28660	46	20	original	original	ADJ
fcis-28660	46	21	order	order	NOUN
fcis-28660	46	22	of	of	ADP
fcis-28660	46	23	the	the	DET
fcis-28660	46	24	word	word	NOUN
fcis-28660	46	25	vectors	vector	NOUN
fcis-28660	46	26	of	of	ADP
fcis-28660	46	27	the	the	DET
fcis-28660	46	28	input	input	NOUN
fcis-28660	46	29	words	word	NOUN
fcis-28660	46	30	,	,	PUNCT
fcis-28660	46	31	and	and	CCONJ
fcis-28660	46	32	the	the	DET
fcis-28660	46	33	training	training	NOUN
fcis-28660	46	34	speed	speed	NOUN
fcis-28660	46	35	is	be	AUX
fcis-28660	46	36	significantly	significantly	ADV
fcis-28660	46	37	improved	improve	VERB
fcis-28660	46	38	by	by	ADP
fcis-28660	46	39	reducing	reduce	VERB
fcis-28660	46	40	the	the	DET
fcis-28660	46	41	calculation	calculation	NOUN
fcis-28660	46	42	amount	amount	NOUN
fcis-28660	46	43	.	.	PUNCT
fcis-28660	47	1	to	to	PART
fcis-28660	47	2	remove	remove	VERB
fcis-28660	47	3	the	the	DET
fcis-28660	47	4	hidden	hide	VERB
fcis-28660	47	5	layer	layer	NOUN
fcis-28660	47	6	,	,	PUNCT
fcis-28660	47	7	you	you	PRON
fcis-28660	47	8	sum	sum	VERB
fcis-28660	47	9	the	the	DET
fcis-28660	47	10	vectors	vector	NOUN
fcis-28660	47	11	in	in	ADP
fcis-28660	47	12	the	the	DET
fcis-28660	47	13	input	input	NOUN
fcis-28660	47	14	layer	layer	NOUN
fcis-28660	47	15	first	first	ADV
fcis-28660	47	16	,	,	PUNCT
fcis-28660	47	17	and	and	CCONJ
fcis-28660	47	18	then	then	ADV
fcis-28660	47	19	connect	connect	VERB
fcis-28660	47	20	them	they	PRON
fcis-28660	47	21	directly	directly	ADV
fcis-28660	47	22	to	to	ADP
fcis-28660	47	23	the	the	DET
fcis-28660	47	24	output	output	NOUN
fcis-28660	47	25	layer	layer	NOUN
fcis-28660	47	26	.	.	PUNCT
fcis-28660	48	1	this	this	PRON
fcis-28660	48	2	will	will	AUX
fcis-28660	48	3	not	not	PART
fcis-28660	48	4	affect	affect	VERB
fcis-28660	48	5	the	the	DET
fcis-28660	48	6	effect	effect	NOUN
fcis-28660	48	7	of	of	ADP
fcis-28660	48	8	training	training	NOUN
fcis-28660	48	9	,	,	PUNCT
fcis-28660	48	10	but	but	CCONJ
fcis-28660	48	11	the	the	DET
fcis-28660	48	12	amount	amount	NOUN
fcis-28660	48	13	of	of	ADP
fcis-28660	48	14	calculation	calculation	NOUN
fcis-28660	48	15	training	training	NOUN
fcis-28660	48	16	will	will	AUX
fcis-28660	48	17	be	be	AUX
fcis-28660	48	18	reduced	reduce	VERB
fcis-28660	48	19	.	.	PUNCT
fcis-28660	49	1	the	the	DET
fcis-28660	49	2	requirement	requirement	NOUN
fcis-28660	49	3	of	of	ADP
fcis-28660	49	4	training	training	NOUN
fcis-28660	49	5	speed	speed	NOUN
fcis-28660	49	6	is	be	AUX
fcis-28660	49	7	to	to	PART
fcis-28660	49	8	improve	improve	VERB
fcis-28660	49	9	it	it	PRON
fcis-28660	49	10	and	and	CCONJ
fcis-28660	49	11	reduce	reduce	VERB
fcis-28660	49	12	complexity	complexity	NOUN
fcis-28660	49	13	at	at	ADP
fcis-28660	49	14	the	the	DET
fcis-28660	49	15	same	same	ADJ
fcis-28660	49	16	time	time	NOUN
fcis-28660	49	17	,	,	PUNCT
fcis-28660	49	18	so	so	CCONJ
fcis-28660	49	19	the	the	DET
fcis-28660	49	20	negative	negative	ADJ
fcis-28660	49	21	sample	sample	NOUN
fcis-28660	49	22	algorithm	algorithm	NOUN
fcis-28660	49	23	is	be	AUX
fcis-28660	49	24	referenced	reference	VERB
fcis-28660	49	25	.	.	PUNCT
fcis-28660	50	1	in	in	ADP
fcis-28660	50	2	fact	fact	NOUN
fcis-28660	50	3	,	,	PUNCT
fcis-28660	50	4	the	the	DET
fcis-28660	50	5	negative	negative	ADJ
fcis-28660	50	6	sample	sample	NOUN
fcis-28660	50	7	algorithm	algorithm	NOUN
fcis-28660	50	8	is	be	AUX
fcis-28660	50	9	a	a	DET
fcis-28660	50	10	method	method	NOUN
fcis-28660	50	11	of	of	ADP
fcis-28660	50	12	replacing	replace	VERB
fcis-28660	50	13	the	the	DET
fcis-28660	50	14	word	word	NOUN
fcis-28660	50	15	order	order	NOUN
fcis-28660	50	16	central	central	ADJ
fcis-28660	50	17	words	word	NOUN
fcis-28660	50	18	in	in	ADP
fcis-28660	50	19	the	the	DET
fcis-28660	50	20	corpus	corpus	NOUN
fcis-28660	50	21	with	with	ADP
fcis-28660	50	22	other	other	ADJ
fcis-28660	50	23	words	word	NOUN
fcis-28660	50	24	,	,	PUNCT
fcis-28660	50	25	and	and	CCONJ
fcis-28660	50	26	then	then	ADV
fcis-28660	50	27	constructing	construct	VERB
fcis-28660	50	28	97	97	NUM
fcis-28660	50	29	words	word	NOUN
fcis-28660	50	30	that	that	PRON
fcis-28660	50	31	are	be	AUX
fcis-28660	50	32	not	not	PART
fcis-28660	50	33	in	in	ADP
fcis-28660	50	34	the	the	DET
fcis-28660	50	35	corpus	corpus	NOUN
fcis-28660	50	36	.	.	PUNCT
fcis-28660	51	1	for	for	ADP
fcis-28660	51	2	the	the	DET
fcis-28660	51	3	word2vec	word2vec	PROPN
fcis-28660	51	4	calculation	calculation	NOUN
fcis-28660	51	5	method	method	NOUN
fcis-28660	51	6	,	,	PUNCT
fcis-28660	51	7	it	it	PRON
fcis-28660	51	8	is	be	AUX
fcis-28660	51	9	based	base	VERB
fcis-28660	51	10	on	on	ADP
fcis-28660	51	11	the	the	DET
fcis-28660	51	12	distribution	distribution	NOUN
fcis-28660	51	13	of	of	ADP
fcis-28660	51	14	words	word	NOUN
fcis-28660	51	15	,	,	PUNCT
fcis-28660	51	16	and	and	CCONJ
fcis-28660	51	17	for	for	ADP
fcis-28660	51	18	words	word	NOUN
fcis-28660	51	19	,	,	PUNCT
fcis-28660	51	20	they	they	PRON
fcis-28660	51	21	are	be	AUX
fcis-28660	51	22	the	the	DET
fcis-28660	51	23	same	same	ADJ
fcis-28660	51	24	,	,	PUNCT
fcis-28660	51	25	indicating	indicate	VERB
fcis-28660	51	26	that	that	SCONJ
fcis-28660	51	27	the	the	DET
fcis-28660	51	28	context	context	NOUN
fcis-28660	51	29	has	have	VERB
fcis-28660	51	30	similar	similar	ADJ
fcis-28660	51	31	semantics	semantic	NOUN
fcis-28660	51	32	.	.	PUNCT
fcis-28660	52	1	using	use	VERB
fcis-28660	52	2	the	the	DET
fcis-28660	52	3	word2vec	word2vec	PROPN
fcis-28660	52	4	model	model	NOUN
fcis-28660	52	5	to	to	PART
fcis-28660	52	6	represent	represent	VERB
fcis-28660	52	7	the	the	DET
fcis-28660	52	8	feature	feature	NOUN
fcis-28660	52	9	word	word	NOUN
fcis-28660	52	10	vector	vector	NOUN
fcis-28660	52	11	that	that	PRON
fcis-28660	52	12	the	the	DET
fcis-28660	52	13	user	user	NOUN
fcis-28660	52	14	wants	want	VERB
fcis-28660	52	15	to	to	PART
fcis-28660	52	16	remedy	remedy	VERB
fcis-28660	52	17	in	in	ADP
fcis-28660	52	18	the	the	DET
fcis-28660	52	19	text	text	NOUN
fcis-28660	52	20	input	input	NOUN
fcis-28660	52	21	,	,	PUNCT
fcis-28660	52	22	the	the	DET
fcis-28660	52	23	word	word	NOUN
fcis-28660	52	24	vector	vector	NOUN
fcis-28660	52	25	of	of	ADP
fcis-28660	52	26	these	these	DET
fcis-28660	52	27	words	word	NOUN
fcis-28660	52	28	can	can	AUX
fcis-28660	52	29	be	be	AUX
fcis-28660	52	30	combined	combine	VERB
fcis-28660	52	31	into	into	ADP
fcis-28660	52	32	a	a	DET
fcis-28660	52	33	large	large	ADJ
fcis-28660	52	34	vector	vector	NOUN
fcis-28660	52	35	to	to	PART
fcis-28660	52	36	represent	represent	VERB
fcis-28660	52	37	the	the	DET
fcis-28660	52	38	user	user	NOUN
fcis-28660	52	39	's	's	PART
fcis-28660	52	40	intention	intention	NOUN
fcis-28660	52	41	.	.	PUNCT
fcis-28660	53	1	the	the	DET
fcis-28660	53	2	similarity	similarity	NOUN
fcis-28660	53	3	of	of	ADP
fcis-28660	53	4	each	each	DET
fcis-28660	53	5	recipe	recipe	NOUN
fcis-28660	53	6	is	be	AUX
fcis-28660	53	7	shown	show	VERB
fcis-28660	53	8	in	in	ADP
fcis-28660	53	9	the	the	DET
fcis-28660	53	10	data	datum	NOUN
fcis-28660	53	11	,	,	PUNCT
fcis-28660	53	12	so	so	SCONJ
fcis-28660	53	13	the	the	DET
fcis-28660	53	14	user	user	NOUN
fcis-28660	53	15	can	can	AUX
fcis-28660	53	16	be	be	AUX
fcis-28660	53	17	recommended	recommend	VERB
fcis-28660	53	18	a	a	DET
fcis-28660	53	19	recipe	recipe	NOUN
fcis-28660	53	20	that	that	PRON
fcis-28660	53	21	is	be	AUX
fcis-28660	53	22	semantically	semantically	ADV
fcis-28660	53	23	similar	similar	ADJ
fcis-28660	53	24	to	to	ADP
fcis-28660	53	25	the	the	DET
fcis-28660	53	26	user	user	NOUN
fcis-28660	53	27	's	's	PART
fcis-28660	53	28	intention	intention	NOUN
fcis-28660	53	29	.	.	PUNCT
fcis-28660	54	1	3	3	X
fcis-28660	54	2	.	.	X
fcis-28660	54	3	optimization	optimization	NOUN
fcis-28660	54	4	scheme	scheme	NOUN
fcis-28660	54	5	of	of	ADP
fcis-28660	54	6	intelligent	intelligent	ADJ
fcis-28660	54	7	recommendation	recommendation	NOUN
fcis-28660	54	8	of	of	ADP
fcis-28660	54	9	traditional	traditional	ADJ
fcis-28660	54	10	chinese	chinese	ADJ
fcis-28660	54	11	medicine	medicine	NOUN
fcis-28660	54	12	prescription	prescription	NOUN
fcis-28660	54	13	based	base	VERB
fcis-28660	54	14	on	on	ADP
fcis-28660	54	15	word2vec	word2vec	PROPN
fcis-28660	54	16	model	model	NOUN
fcis-28660	54	17	in	in	ADP
fcis-28660	54	18	this	this	DET
fcis-28660	54	19	paper	paper	NOUN
fcis-28660	54	20	,	,	PUNCT
fcis-28660	54	21	through	through	ADP
fcis-28660	54	22	thinking	thinking	NOUN
fcis-28660	54	23	and	and	CCONJ
fcis-28660	54	24	comprehensive	comprehensive	ADJ
fcis-28660	54	25	analysis	analysis	NOUN
fcis-28660	54	26	of	of	ADP
fcis-28660	54	27	the	the	DET
fcis-28660	54	28	intelligent	intelligent	ADJ
fcis-28660	54	29	traditional	traditional	ADJ
fcis-28660	54	30	chinese	chinese	ADJ
fcis-28660	54	31	medicine	medicine	NOUN
fcis-28660	54	32	prescription	prescription	NOUN
fcis-28660	54	33	recommendation	recommendation	NOUN
fcis-28660	54	34	,	,	PUNCT
fcis-28660	54	35	practical	practical	ADJ
fcis-28660	54	36	application	application	NOUN
fcis-28660	54	37	and	and	CCONJ
fcis-28660	54	38	main	main	ADJ
fcis-28660	54	39	features	feature	NOUN
fcis-28660	54	40	,	,	PUNCT
fcis-28660	54	41	word2vec	word2vec	X
fcis-28660	54	42	model	model	NOUN
fcis-28660	54	43	is	be	AUX
fcis-28660	54	44	used	use	VERB
fcis-28660	54	45	to	to	PART
fcis-28660	54	46	build	build	VERB
fcis-28660	54	47	a	a	DET
fcis-28660	54	48	model	model	NOUN
fcis-28660	54	49	for	for	ADP
fcis-28660	54	50	the	the	DET
fcis-28660	54	51	intelligent	intelligent	ADJ
fcis-28660	54	52	traditional	traditional	ADJ
fcis-28660	54	53	chinese	chinese	ADJ
fcis-28660	54	54	medicine	medicine	NOUN
fcis-28660	54	55	prescription	prescription	NOUN
fcis-28660	54	56	recommendation	recommendation	NOUN
fcis-28660	54	57	system	system	NOUN
fcis-28660	54	58	.	.	PUNCT
fcis-28660	55	1	then	then	ADV
fcis-28660	55	2	i	i	PRON
fcis-28660	55	3	thought	think	VERB
fcis-28660	55	4	that	that	SCONJ
fcis-28660	55	5	the	the	DET
fcis-28660	55	6	folk	folk	NOUN
fcis-28660	55	7	formula	formula	NOUN
fcis-28660	55	8	input	input	NOUN
fcis-28660	55	9	by	by	ADP
fcis-28660	55	10	the	the	DET
fcis-28660	55	11	user	user	NOUN
fcis-28660	55	12	is	be	AUX
fcis-28660	55	13	random	random	ADJ
fcis-28660	55	14	and	and	CCONJ
fcis-28660	55	15	relatively	relatively	ADV
fcis-28660	55	16	oral	oral	ADJ
fcis-28660	55	17	,	,	PUNCT
fcis-28660	55	18	so	so	SCONJ
fcis-28660	55	19	this	this	DET
fcis-28660	55	20	paper	paper	NOUN
fcis-28660	55	21	uses	use	VERB
fcis-28660	55	22	the	the	DET
fcis-28660	55	23	cosine	cosine	NOUN
fcis-28660	55	24	similarity	similarity	NOUN
fcis-28660	55	25	calculation	calculation	NOUN
fcis-28660	55	26	method	method	NOUN
fcis-28660	55	27	,	,	PUNCT
fcis-28660	55	28	so	so	SCONJ
fcis-28660	55	29	that	that	SCONJ
fcis-28660	55	30	the	the	DET
fcis-28660	55	31	text	text	NOUN
fcis-28660	55	32	similarity	similarity	NOUN
fcis-28660	55	33	calculation	calculation	NOUN
fcis-28660	55	34	method	method	NOUN
fcis-28660	55	35	is	be	AUX
fcis-28660	55	36	further	far	ADV
fcis-28660	55	37	updated	update	VERB
fcis-28660	55	38	and	and	CCONJ
fcis-28660	55	39	improved	improve	VERB
fcis-28660	55	40	,	,	PUNCT
fcis-28660	55	41	so	so	SCONJ
fcis-28660	55	42	that	that	SCONJ
fcis-28660	55	43	the	the	DET
fcis-28660	55	44	effect	effect	NOUN
fcis-28660	55	45	of	of	ADP
fcis-28660	55	46	users	user	NOUN
fcis-28660	55	47	can	can	AUX
fcis-28660	55	48	find	find	VERB
fcis-28660	55	49	the	the	DET
fcis-28660	55	50	most	most	ADV
fcis-28660	55	51	suitable	suitable	ADJ
fcis-28660	55	52	folk	folk	NOUN
fcis-28660	55	53	formula	formula	NOUN
fcis-28660	55	54	is	be	AUX
fcis-28660	55	55	more	more	ADV
fcis-28660	55	56	obvious	obvious	ADJ
fcis-28660	55	57	.	.	PUNCT
fcis-28660	56	1	there	there	PRON
fcis-28660	56	2	is	be	VERB
fcis-28660	56	3	also	also	ADV
fcis-28660	56	4	keyword	keyword	NOUN
fcis-28660	56	5	comparison	comparison	NOUN
fcis-28660	56	6	,	,	PUNCT
fcis-28660	56	7	one	one	NUM
fcis-28660	56	8	by	by	ADP
fcis-28660	56	9	one	one	NUM
fcis-28660	56	10	comparison	comparison	NOUN
fcis-28660	56	11	of	of	ADP
fcis-28660	56	12	the	the	DET
fcis-28660	56	13	user	user	NOUN
fcis-28660	56	14	's	's	PART
fcis-28660	56	15	input	input	NOUN
fcis-28660	56	16	conditions	condition	NOUN
fcis-28660	56	17	,	,	PUNCT
fcis-28660	56	18	similarity	similarity	NOUN
fcis-28660	56	19	comparison	comparison	NOUN
fcis-28660	56	20	calculation	calculation	NOUN
fcis-28660	56	21	,	,	PUNCT
fcis-28660	56	22	and	and	CCONJ
fcis-28660	56	23	then	then	ADV
fcis-28660	56	24	further	far	ADV
fcis-28660	56	25	improve	improve	VERB
fcis-28660	56	26	the	the	DET
fcis-28660	56	27	recommendation	recommendation	NOUN
fcis-28660	56	28	system	system	NOUN
fcis-28660	56	29	,	,	PUNCT
fcis-28660	56	30	through	through	ADP
fcis-28660	56	31	the	the	DET
fcis-28660	56	32	following	following	ADJ
fcis-28660	56	33	ways	way	NOUN
fcis-28660	56	34	to	to	PART
fcis-28660	56	35	optimize	optimize	VERB
fcis-28660	56	36	the	the	DET
fcis-28660	56	37	intelligent	intelligent	ADJ
fcis-28660	56	38	recommendation	recommendation	NOUN
fcis-28660	56	39	of	of	ADP
fcis-28660	56	40	traditional	traditional	ADJ
fcis-28660	56	41	chinese	chinese	ADJ
fcis-28660	56	42	medicine	medicine	NOUN
fcis-28660	56	43	prescriptions	prescription	NOUN
fcis-28660	56	44	based	base	VERB
fcis-28660	56	45	on	on	ADP
fcis-28660	56	46	word2vec	word2vec	PROPN
fcis-28660	56	47	model	model	NOUN
fcis-28660	56	48	.	.	PROPN
fcis-28660	57	1	3.1	3.1	NUM
fcis-28660	57	2	.	.	PUNCT
fcis-28660	57	3	personalized	personalize	VERB
fcis-28660	57	4	recommendation	recommendation	NOUN
fcis-28660	57	5	technology	technology	NOUN
fcis-28660	57	6	personalized	personalize	VERB
fcis-28660	57	7	recommendation	recommendation	NOUN
fcis-28660	57	8	refers	refer	VERB
fcis-28660	57	9	to	to	ADP
fcis-28660	57	10	the	the	DET
fcis-28660	57	11	creation	creation	NOUN
fcis-28660	57	12	of	of	ADP
fcis-28660	57	13	characteristic	characteristic	ADJ
fcis-28660	57	14	models	model	NOUN
fcis-28660	57	15	for	for	ADP
fcis-28660	57	16	users	user	NOUN
fcis-28660	57	17	or	or	CCONJ
fcis-28660	57	18	administrators	administrator	NOUN
fcis-28660	57	19	through	through	ADP
fcis-28660	57	20	user	user	NOUN
fcis-28660	57	21	's	's	PART
fcis-28660	57	22	or	or	CCONJ
fcis-28660	57	23	administrator	administrator	NOUN
fcis-28660	57	24	's	's	PART
fcis-28660	57	25	registration	registration	NOUN
fcis-28660	57	26	information	information	NOUN
fcis-28660	57	27	,	,	PUNCT
fcis-28660	57	28	user	user	NOUN
fcis-28660	57	29	's	's	PART
fcis-28660	57	30	usage	usage	NOUN
fcis-28660	57	31	of	of	ADP
fcis-28660	57	32	prescription	prescription	NOUN
fcis-28660	57	33	,	,	PUNCT
fcis-28660	57	34	record	record	NOUN
fcis-28660	57	35	of	of	ADP
fcis-28660	57	36	selecting	select	VERB
fcis-28660	57	37	prescription	prescription	NOUN
fcis-28660	57	38	,	,	PUNCT
fcis-28660	57	39	query	query	NOUN
fcis-28660	57	40	of	of	ADP
fcis-28660	57	41	prescription	prescription	NOUN
fcis-28660	57	42	,	,	PUNCT
fcis-28660	57	43	and	and	CCONJ
fcis-28660	57	44	evaluation	evaluation	NOUN
fcis-28660	57	45	information	information	NOUN
fcis-28660	57	46	of	of	ADP
fcis-28660	57	47	prescription	prescription	NOUN
fcis-28660	57	48	,	,	PUNCT
fcis-28660	57	49	combined	combine	VERB
fcis-28660	57	50	with	with	ADP
fcis-28660	57	51	the	the	DET
fcis-28660	57	52	application	application	NOUN
fcis-28660	57	53	analysis	analysis	NOUN
fcis-28660	57	54	of	of	ADP
fcis-28660	57	55	artificial	artificial	ADJ
fcis-28660	57	56	intelligence	intelligence	NOUN
fcis-28660	57	57	in	in	ADP
fcis-28660	57	58	the	the	DET
fcis-28660	57	59	medical	medical	ADJ
fcis-28660	57	60	field	field	NOUN
fcis-28660	57	61	,	,	PUNCT
fcis-28660	57	62	and	and	CCONJ
fcis-28660	57	63	then	then	ADV
fcis-28660	57	64	selecting	select	VERB
fcis-28660	57	65	a	a	DET
fcis-28660	57	66	wellmatched	wellmatche	VERB
fcis-28660	57	67	model	model	NOUN
fcis-28660	57	68	by	by	ADP
fcis-28660	57	69	using	use	VERB
fcis-28660	57	70	relevant	relevant	ADJ
fcis-28660	57	71	technologies	technology	NOUN
fcis-28660	57	72	.	.	PUNCT
fcis-28660	58	1	finally	finally	ADV
fcis-28660	58	2	,	,	PUNCT
fcis-28660	58	3	the	the	DET
fcis-28660	58	4	most	most	ADV
fcis-28660	58	5	suitable	suitable	ADJ
fcis-28660	58	6	prescription	prescription	NOUN
fcis-28660	58	7	is	be	AUX
fcis-28660	58	8	recommended	recommend	VERB
fcis-28660	58	9	to	to	ADP
fcis-28660	58	10	users	user	NOUN
fcis-28660	58	11	or	or	CCONJ
fcis-28660	58	12	administrators	administrator	NOUN
fcis-28660	58	13	.	.	PUNCT
fcis-28660	59	1	behavioral	behavioral	ADJ
fcis-28660	59	2	data	datum	NOUN
fcis-28660	59	3	refers	refer	VERB
fcis-28660	59	4	to	to	ADP
fcis-28660	59	5	the	the	DET
fcis-28660	59	6	user	user	NOUN
fcis-28660	59	7	's	's	PART
fcis-28660	59	8	behavioral	behavioral	ADJ
fcis-28660	59	9	information	information	NOUN
fcis-28660	59	10	data	datum	NOUN
fcis-28660	59	11	,	,	PUNCT
fcis-28660	59	12	such	such	ADJ
fcis-28660	59	13	as	as	ADP
fcis-28660	59	14	user	user	NOUN
fcis-28660	59	15	queries	query	NOUN
fcis-28660	59	16	,	,	PUNCT
fcis-28660	59	17	clicks	click	NOUN
fcis-28660	59	18	,	,	PUNCT
fcis-28660	59	19	browsing	browse	VERB
fcis-28660	59	20	history	history	NOUN
fcis-28660	59	21	,	,	PUNCT
fcis-28660	59	22	browsing	browse	VERB
fcis-28660	59	23	time	time	NOUN
fcis-28660	59	24	,	,	PUNCT
fcis-28660	59	25	product	product	NOUN
fcis-28660	59	26	reviews	review	NOUN
fcis-28660	59	27	and	and	CCONJ
fcis-28660	59	28	ratings	rating	NOUN
fcis-28660	59	29	.	.	PUNCT
fcis-28660	60	1	in	in	ADP
fcis-28660	60	2	personalized	personalized	ADJ
fcis-28660	60	3	recommendation	recommendation	NOUN
fcis-28660	60	4	technology	technology	NOUN
fcis-28660	60	5	,	,	PUNCT
fcis-28660	60	6	users	user	NOUN
fcis-28660	60	7	'	'	PART
fcis-28660	60	8	feedback	feedback	NOUN
fcis-28660	60	9	to	to	ADP
fcis-28660	60	10	the	the	DET
fcis-28660	60	11	system	system	NOUN
fcis-28660	60	12	also	also	ADV
fcis-28660	60	13	has	have	VERB
fcis-28660	60	14	its	its	PRON
fcis-28660	60	15	own	own	ADJ
fcis-28660	60	16	characteristics	characteristic	NOUN
fcis-28660	60	17	.	.	PUNCT
fcis-28660	61	1	display	display	NOUN
fcis-28660	61	2	feedback	feedback	NOUN
fcis-28660	61	3	refers	refer	VERB
fcis-28660	61	4	to	to	ADP
fcis-28660	61	5	user	user	NOUN
fcis-28660	61	6	information	information	NOUN
fcis-28660	61	7	,	,	PUNCT
fcis-28660	61	8	reviews	review	NOUN
fcis-28660	61	9	,	,	PUNCT
fcis-28660	61	10	etc	etc	X
fcis-28660	61	11	.	.	X
fcis-28660	61	12	implicit	implicit	ADJ
fcis-28660	61	13	feedback	feedback	NOUN
fcis-28660	61	14	represents	represent	VERB
fcis-28660	61	15	whether	whether	SCONJ
fcis-28660	61	16	the	the	DET
fcis-28660	61	17	user	user	NOUN
fcis-28660	61	18	has	have	AUX
fcis-28660	61	19	adopted	adopt	VERB
fcis-28660	61	20	the	the	DET
fcis-28660	61	21	recipe	recipe	NOUN
fcis-28660	61	22	,	,	PUNCT
fcis-28660	61	23	and	and	CCONJ
fcis-28660	61	24	how	how	SCONJ
fcis-28660	61	25	it	it	PRON
fcis-28660	61	26	has	have	AUX
fcis-28660	61	27	been	be	AUX
fcis-28660	61	28	used	use	VERB
fcis-28660	61	29	.	.	PUNCT
fcis-28660	62	1	by	by	ADP
fcis-28660	62	2	comparing	compare	VERB
fcis-28660	62	3	them	they	PRON
fcis-28660	62	4	,	,	PUNCT
fcis-28660	62	5	it	it	PRON
fcis-28660	62	6	can	can	AUX
fcis-28660	62	7	be	be	AUX
fcis-28660	62	8	seen	see	VERB
fcis-28660	62	9	that	that	SCONJ
fcis-28660	62	10	the	the	DET
fcis-28660	62	11	amount	amount	NOUN
fcis-28660	62	12	of	of	ADP
fcis-28660	62	13	implicit	implicit	ADJ
fcis-28660	62	14	feedback	feedback	NOUN
fcis-28660	62	15	data	datum	NOUN
fcis-28660	62	16	is	be	AUX
fcis-28660	62	17	wider	wide	ADJ
fcis-28660	62	18	,	,	PUNCT
fcis-28660	62	19	so	so	SCONJ
fcis-28660	62	20	that	that	SCONJ
fcis-28660	62	21	the	the	DET
fcis-28660	62	22	implicit	implicit	ADJ
fcis-28660	62	23	feedback	feedback	NOUN
fcis-28660	62	24	data	datum	NOUN
fcis-28660	62	25	can	can	AUX
fcis-28660	62	26	be	be	AUX
fcis-28660	62	27	used	use	VERB
fcis-28660	62	28	to	to	PART
fcis-28660	62	29	deeply	deeply	ADV
fcis-28660	62	30	understand	understand	VERB
fcis-28660	62	31	the	the	DET
fcis-28660	62	32	direction	direction	NOUN
fcis-28660	62	33	of	of	ADP
fcis-28660	62	34	users	user	NOUN
fcis-28660	62	35	'	'	PART
fcis-28660	62	36	needs	need	NOUN
fcis-28660	62	37	,	,	PUNCT
fcis-28660	62	38	which	which	PRON
fcis-28660	62	39	requires	require	VERB
fcis-28660	62	40	the	the	DET
fcis-28660	62	41	application	application	NOUN
fcis-28660	62	42	of	of	ADP
fcis-28660	62	43	data	datum	NOUN
fcis-28660	62	44	mining	mining	NOUN
fcis-28660	62	45	knowledge	knowledge	NOUN
fcis-28660	62	46	,	,	PUNCT
fcis-28660	62	47	and	and	CCONJ
fcis-28660	62	48	then	then	ADV
fcis-28660	62	49	obtain	obtain	VERB
fcis-28660	62	50	the	the	DET
fcis-28660	62	51	degree	degree	NOUN
fcis-28660	62	52	of	of	ADP
fcis-28660	62	53	users	user	NOUN
fcis-28660	62	54	'	'	PART
fcis-28660	62	55	folk	folk	NOUN
fcis-28660	62	56	prescription	prescription	NOUN
fcis-28660	62	57	intention	intention	NOUN
fcis-28660	62	58	,	,	PUNCT
fcis-28660	62	59	and	and	CCONJ
fcis-28660	62	60	conduct	conduct	VERB
fcis-28660	62	61	modeling	model	VERB
fcis-28660	62	62	operations	operation	NOUN
fcis-28660	62	63	on	on	ADP
fcis-28660	62	64	it	it	PRON
fcis-28660	62	65	,	,	PUNCT
fcis-28660	62	66	so	so	SCONJ
fcis-28660	62	67	that	that	SCONJ
fcis-28660	62	68	users	user	NOUN
fcis-28660	62	69	can	can	AUX
fcis-28660	62	70	be	be	AUX
fcis-28660	62	71	satisfied	satisfied	ADJ
fcis-28660	62	72	with	with	ADP
fcis-28660	62	73	the	the	DET
fcis-28660	62	74	folk	folk	NOUN
fcis-28660	62	75	prescription	prescription	NOUN
fcis-28660	62	76	needs	need	NOUN
fcis-28660	62	77	based	base	VERB
fcis-28660	62	78	on	on	ADP
fcis-28660	62	79	personal	personal	ADJ
fcis-28660	62	80	information	information	NOUN
fcis-28660	62	81	.	.	PUNCT
fcis-28660	63	1	the	the	DET
fcis-28660	63	2	essence	essence	NOUN
fcis-28660	63	3	of	of	ADP
fcis-28660	63	4	personalized	personalized	ADJ
fcis-28660	63	5	recommendation	recommendation	NOUN
fcis-28660	63	6	is	be	AUX
fcis-28660	63	7	to	to	PART
fcis-28660	63	8	implement	implement	VERB
fcis-28660	63	9	the	the	DET
fcis-28660	63	10	recommendation	recommendation	NOUN
fcis-28660	63	11	algorithm	algorithm	NOUN
fcis-28660	63	12	.	.	PUNCT
fcis-28660	64	1	in	in	ADP
fcis-28660	64	2	the	the	DET
fcis-28660	64	3	previous	previous	ADJ
fcis-28660	64	4	description	description	NOUN
fcis-28660	64	5	,	,	PUNCT
fcis-28660	64	6	it	it	PRON
fcis-28660	64	7	can	can	AUX
fcis-28660	64	8	be	be	AUX
fcis-28660	64	9	understood	understand	VERB
fcis-28660	64	10	that	that	SCONJ
fcis-28660	64	11	the	the	DET
fcis-28660	64	12	main	main	ADJ
fcis-28660	64	13	implementation	implementation	NOUN
fcis-28660	64	14	process	process	NOUN
fcis-28660	64	15	of	of	ADP
fcis-28660	64	16	the	the	DET
fcis-28660	64	17	collaborative	collaborative	ADJ
fcis-28660	64	18	filtering	filtering	NOUN
fcis-28660	64	19	algorithm	algorithm	NOUN
fcis-28660	64	20	is	be	AUX
fcis-28660	64	21	to	to	PART
fcis-28660	64	22	recommend	recommend	VERB
fcis-28660	64	23	the	the	DET
fcis-28660	64	24	folk	folk	NOUN
fcis-28660	64	25	recipe	recipe	NOUN
fcis-28660	64	26	information	information	NOUN
fcis-28660	64	27	used	use	VERB
fcis-28660	64	28	by	by	ADP
fcis-28660	64	29	the	the	DET
fcis-28660	64	30	user	user	NOUN
fcis-28660	64	31	,	,	PUNCT
fcis-28660	64	32	which	which	PRON
fcis-28660	64	33	is	be	AUX
fcis-28660	64	34	recommended	recommend	VERB
fcis-28660	64	35	many	many	ADJ
fcis-28660	64	36	times	time	NOUN
fcis-28660	64	37	because	because	SCONJ
fcis-28660	64	38	of	of	ADP
fcis-28660	64	39	the	the	DET
fcis-28660	64	40	use	use	NOUN
fcis-28660	64	41	of	of	ADP
fcis-28660	64	42	more	more	ADJ
fcis-28660	64	43	,	,	PUNCT
fcis-28660	64	44	which	which	PRON
fcis-28660	64	45	is	be	AUX
fcis-28660	64	46	relatively	relatively	ADV
fcis-28660	64	47	limited	limited	ADJ
fcis-28660	64	48	and	and	CCONJ
fcis-28660	64	49	has	have	VERB
fcis-28660	64	50	many	many	ADJ
fcis-28660	64	51	drawbacks	drawback	NOUN
fcis-28660	64	52	,	,	PUNCT
fcis-28660	64	53	mainly	mainly	ADV
fcis-28660	64	54	including	include	VERB
fcis-28660	64	55	:	:	PUNCT
fcis-28660	64	56	1	1	NUM
fcis-28660	64	57	)	)	PUNCT
fcis-28660	64	58	user	user	NOUN
fcis-28660	64	59	cold	cold	ADJ
fcis-28660	64	60	start	start	NOUN
fcis-28660	64	61	:	:	PUNCT
fcis-28660	64	62	it	it	PRON
fcis-28660	64	63	is	be	AUX
fcis-28660	64	64	mainly	mainly	ADV
fcis-28660	64	65	said	say	VERB
fcis-28660	64	66	to	to	ADP
fcis-28660	64	67	new	new	ADJ
fcis-28660	64	68	users	user	NOUN
fcis-28660	64	69	,	,	PUNCT
fcis-28660	64	70	for	for	ADP
fcis-28660	64	71	new	new	ADJ
fcis-28660	64	72	users	user	NOUN
fcis-28660	64	73	,	,	PUNCT
fcis-28660	64	74	there	there	PRON
fcis-28660	64	75	is	be	VERB
fcis-28660	64	76	no	no	DET
fcis-28660	64	77	historical	historical	ADJ
fcis-28660	64	78	search	search	NOUN
fcis-28660	64	79	information	information	NOUN
fcis-28660	64	80	,	,	PUNCT
fcis-28660	64	81	there	there	PRON
fcis-28660	64	82	is	be	VERB
fcis-28660	64	83	no	no	DET
fcis-28660	64	84	use	use	NOUN
fcis-28660	64	85	of	of	ADP
fcis-28660	64	86	folk	folk	NOUN
fcis-28660	64	87	prescriptions	prescription	NOUN
fcis-28660	64	88	,	,	PUNCT
fcis-28660	64	89	so	so	CCONJ
fcis-28660	64	90	it	it	PRON
fcis-28660	64	91	is	be	AUX
fcis-28660	64	92	not	not	PART
fcis-28660	64	93	intelligent	intelligent	ADJ
fcis-28660	64	94	recommendation	recommendation	NOUN
fcis-28660	64	95	for	for	ADP
fcis-28660	64	96	users	user	NOUN
fcis-28660	64	97	.	.	PUNCT
fcis-28660	65	1	2	2	X
fcis-28660	65	2	)	)	PUNCT
fcis-28660	65	3	data	datum	NOUN
fcis-28660	65	4	sparse	sparse	ADJ
fcis-28660	65	5	problem	problem	NOUN
fcis-28660	65	6	:	:	PUNCT
fcis-28660	65	7	the	the	DET
fcis-28660	65	8	so	so	ADV
fcis-28660	65	9	-	-	PUNCT
fcis-28660	65	10	called	call	VERB
fcis-28660	65	11	sparse	sparse	ADJ
fcis-28660	65	12	problem	problem	NOUN
fcis-28660	65	13	is	be	AUX
fcis-28660	65	14	that	that	SCONJ
fcis-28660	65	15	when	when	SCONJ
fcis-28660	65	16	the	the	DET
fcis-28660	65	17	prescription	prescription	NOUN
fcis-28660	65	18	is	be	AUX
fcis-28660	65	19	not	not	PART
fcis-28660	65	20	evaluated	evaluate	VERB
fcis-28660	65	21	much	much	ADJ
fcis-28660	65	22	and	and	CCONJ
fcis-28660	65	23	the	the	DET
fcis-28660	65	24	information	information	NOUN
fcis-28660	65	25	is	be	AUX
fcis-28660	65	26	incomplete	incomplete	ADJ
fcis-28660	65	27	,	,	PUNCT
fcis-28660	65	28	most	most	ADJ
fcis-28660	65	29	of	of	ADP
fcis-28660	65	30	the	the	DET
fcis-28660	65	31	prescriptions	prescription	NOUN
fcis-28660	65	32	recommended	recommend	VERB
fcis-28660	65	33	by	by	ADP
fcis-28660	65	34	the	the	DET
fcis-28660	65	35	system	system	NOUN
fcis-28660	65	36	do	do	AUX
fcis-28660	65	37	not	not	PART
fcis-28660	65	38	meet	meet	VERB
fcis-28660	65	39	the	the	DET
fcis-28660	65	40	needs	need	NOUN
fcis-28660	65	41	of	of	ADP
fcis-28660	65	42	users	user	NOUN
fcis-28660	65	43	.	.	PUNCT
fcis-28660	66	1	content	content	NOUN
fcis-28660	66	2	-	-	PUNCT
fcis-28660	66	3	based	base	VERB
fcis-28660	66	4	recommendation	recommendation	NOUN
fcis-28660	66	5	algorithm	algorithm	NOUN
fcis-28660	66	6	is	be	AUX
fcis-28660	66	7	to	to	PART
fcis-28660	66	8	find	find	VERB
fcis-28660	66	9	the	the	DET
fcis-28660	66	10	similarity	similarity	NOUN
fcis-28660	66	11	between	between	ADP
fcis-28660	66	12	keywords	keyword	NOUN
fcis-28660	66	13	in	in	ADP
fcis-28660	66	14	the	the	DET
fcis-28660	66	15	input	input	NOUN
fcis-28660	66	16	text	text	NOUN
fcis-28660	66	17	of	of	ADP
fcis-28660	66	18	users	user	NOUN
fcis-28660	66	19	,	,	PUNCT
fcis-28660	66	20	or	or	CCONJ
fcis-28660	66	21	between	between	ADP
fcis-28660	66	22	the	the	DET
fcis-28660	66	23	text	text	NOUN
fcis-28660	66	24	features	feature	VERB
fcis-28660	66	25	between	between	ADP
fcis-28660	66	26	them	they	PRON
fcis-28660	66	27	and	and	CCONJ
fcis-28660	66	28	the	the	DET
fcis-28660	66	29	needs	need	NOUN
fcis-28660	66	30	of	of	ADP
fcis-28660	66	31	users	user	NOUN
fcis-28660	66	32	for	for	ADP
fcis-28660	66	33	folk	folk	NOUN
fcis-28660	66	34	prescriptions	prescription	NOUN
fcis-28660	66	35	without	without	ADP
fcis-28660	66	36	relying	rely	VERB
fcis-28660	66	37	on	on	ADP
fcis-28660	66	38	historical	historical	ADJ
fcis-28660	66	39	data	datum	NOUN
fcis-28660	66	40	,	,	PUNCT
fcis-28660	66	41	and	and	CCONJ
fcis-28660	66	42	then	then	ADV
fcis-28660	66	43	present	present	VERB
fcis-28660	66	44	the	the	DET
fcis-28660	66	45	recommended	recommend	VERB
fcis-28660	66	46	content	content	NOUN
fcis-28660	66	47	to	to	ADP
fcis-28660	66	48	users	user	NOUN
fcis-28660	66	49	.	.	PUNCT
fcis-28660	67	1	it	it	PRON
fcis-28660	67	2	is	be	AUX
fcis-28660	67	3	in	in	ADP
fcis-28660	67	4	this	this	DET
fcis-28660	67	5	way	way	NOUN
fcis-28660	67	6	that	that	SCONJ
fcis-28660	67	7	the	the	DET
fcis-28660	67	8	above	above	ADJ
fcis-28660	67	9	cold	cold	ADJ
fcis-28660	67	10	start	start	NOUN
fcis-28660	67	11	problem	problem	NOUN
fcis-28660	67	12	is	be	AUX
fcis-28660	67	13	improved	improve	VERB
fcis-28660	67	14	.	.	PUNCT
fcis-28660	68	1	content	content	NOUN
fcis-28660	68	2	-	-	PUNCT
fcis-28660	68	3	based	base	VERB
fcis-28660	68	4	recommendation	recommendation	NOUN
fcis-28660	68	5	algorithm	algorithm	NOUN
fcis-28660	68	6	has	have	VERB
fcis-28660	68	7	many	many	ADJ
fcis-28660	68	8	benefits	benefit	NOUN
fcis-28660	68	9	,	,	PUNCT
fcis-28660	68	10	as	as	SCONJ
fcis-28660	68	11	follows	follow	VERB
fcis-28660	68	12	:	:	PUNCT
fcis-28660	68	13	1	1	X
fcis-28660	68	14	)	)	PUNCT
fcis-28660	68	15	for	for	ADP
fcis-28660	68	16	the	the	DET
fcis-28660	68	17	newly	newly	ADV
fcis-28660	68	18	collected	collect	VERB
fcis-28660	68	19	and	and	CCONJ
fcis-28660	68	20	crawled	crawl	VERB
fcis-28660	68	21	folk	folk	NOUN
fcis-28660	68	22	recipe	recipe	NOUN
fcis-28660	68	23	data	datum	NOUN
fcis-28660	68	24	,	,	PUNCT
fcis-28660	68	25	although	although	SCONJ
fcis-28660	68	26	the	the	DET
fcis-28660	68	27	data	data	NOUN
fcis-28660	68	28	information	information	NOUN
fcis-28660	68	29	is	be	AUX
fcis-28660	68	30	not	not	PART
fcis-28660	68	31	perfect	perfect	ADJ
fcis-28660	68	32	,	,	PUNCT
fcis-28660	68	33	although	although	SCONJ
fcis-28660	68	34	the	the	DET
fcis-28660	68	35	user	user	NOUN
fcis-28660	68	36	evaluation	evaluation	NOUN
fcis-28660	68	37	does	do	AUX
fcis-28660	68	38	not	not	PART
fcis-28660	68	39	have	have	VERB
fcis-28660	68	40	any	any	DET
fcis-28660	68	41	tips	tip	NOUN
fcis-28660	68	42	,	,	PUNCT
fcis-28660	68	43	it	it	PRON
fcis-28660	68	44	can	can	AUX
fcis-28660	68	45	also	also	ADV
fcis-28660	68	46	recommend	recommend	VERB
fcis-28660	68	47	the	the	DET
fcis-28660	68	48	user	user	NOUN
fcis-28660	68	49	,	,	PUNCT
fcis-28660	68	50	so	so	ADV
fcis-28660	68	51	as	as	SCONJ
fcis-28660	68	52	not	not	PART
fcis-28660	68	53	to	to	PART
fcis-28660	68	54	ignore	ignore	VERB
fcis-28660	68	55	the	the	DET
fcis-28660	68	56	existence	existence	NOUN
fcis-28660	68	57	value	value	NOUN
fcis-28660	68	58	and	and	CCONJ
fcis-28660	68	59	significance	significance	NOUN
fcis-28660	68	60	of	of	ADP
fcis-28660	68	61	the	the	DET
fcis-28660	68	62	new	new	ADJ
fcis-28660	68	63	folk	folk	NOUN
fcis-28660	68	64	recipe	recipe	NOUN
fcis-28660	68	65	.	.	PUNCT
fcis-28660	69	1	then	then	ADV
fcis-28660	69	2	it	it	PRON
fcis-28660	69	3	improves	improve	VERB
fcis-28660	69	4	the	the	DET
fcis-28660	69	5	occurrence	occurrence	NOUN
fcis-28660	69	6	of	of	ADP
fcis-28660	69	7	cold	cold	ADJ
fcis-28660	69	8	start	start	NOUN
fcis-28660	69	9	problem	problem	NOUN
fcis-28660	69	10	.	.	PUNCT
fcis-28660	70	1	2	2	X
fcis-28660	70	2	)	)	PUNCT
fcis-28660	70	3	the	the	DET
fcis-28660	70	4	recommendation	recommendation	NOUN
fcis-28660	70	5	results	result	NOUN
fcis-28660	70	6	are	be	AUX
fcis-28660	70	7	also	also	ADV
fcis-28660	70	8	clear	clear	ADJ
fcis-28660	70	9	and	and	CCONJ
fcis-28660	70	10	can	can	AUX
fcis-28660	70	11	be	be	AUX
fcis-28660	70	12	recognized	recognize	VERB
fcis-28660	70	13	by	by	ADP
fcis-28660	70	14	users	user	NOUN
fcis-28660	70	15	,	,	PUNCT
fcis-28660	70	16	and	and	CCONJ
fcis-28660	70	17	the	the	DET
fcis-28660	70	18	recommendation	recommendation	NOUN
fcis-28660	70	19	process	process	NOUN
fcis-28660	70	20	is	be	AUX
fcis-28660	70	21	also	also	ADV
fcis-28660	70	22	very	very	ADV
fcis-28660	70	23	simple	simple	ADJ
fcis-28660	70	24	.	.	PUNCT
fcis-28660	71	1	since	since	SCONJ
fcis-28660	71	2	users	user	NOUN
fcis-28660	71	3	do	do	AUX
fcis-28660	71	4	not	not	PART
fcis-28660	71	5	record	record	VERB
fcis-28660	71	6	the	the	DET
fcis-28660	71	7	use	use	NOUN
fcis-28660	71	8	of	of	ADP
fcis-28660	71	9	individual	individual	ADJ
fcis-28660	71	10	recipes	recipe	NOUN
fcis-28660	71	11	in	in	ADP
fcis-28660	71	12	intelligent	intelligent	ADJ
fcis-28660	71	13	recommendation	recommendation	NOUN
fcis-28660	71	14	,	,	PUNCT
fcis-28660	71	15	and	and	CCONJ
fcis-28660	71	16	the	the	DET
fcis-28660	71	17	collection	collection	NOUN
fcis-28660	71	18	of	of	ADP
fcis-28660	71	19	recipes	recipe	NOUN
fcis-28660	71	20	is	be	AUX
fcis-28660	71	21	continuous	continuous	ADJ
fcis-28660	71	22	,	,	PUNCT
fcis-28660	71	23	users	user	NOUN
fcis-28660	71	24	and	and	CCONJ
fcis-28660	71	25	administrators	administrator	NOUN
fcis-28660	71	26	will	will	AUX
fcis-28660	71	27	continue	continue	VERB
fcis-28660	71	28	to	to	PART
fcis-28660	71	29	increase	increase	VERB
fcis-28660	71	30	the	the	DET
fcis-28660	71	31	number	number	NOUN
fcis-28660	71	32	of	of	ADP
fcis-28660	71	33	recipes	recipe	NOUN
fcis-28660	71	34	,	,	PUNCT
fcis-28660	71	35	we	we	PRON
fcis-28660	71	36	need	need	VERB
fcis-28660	71	37	to	to	PART
fcis-28660	71	38	consider	consider	VERB
fcis-28660	71	39	these	these	DET
fcis-28660	71	40	problems	problem	NOUN
fcis-28660	71	41	of	of	ADP
fcis-28660	71	42	sparse	sparse	ADJ
fcis-28660	71	43	data	datum	NOUN
fcis-28660	71	44	.	.	PUNCT
fcis-28660	72	1	to	to	PART
fcis-28660	72	2	solve	solve	VERB
fcis-28660	72	3	this	this	DET
fcis-28660	72	4	problem	problem	NOUN
fcis-28660	72	5	,	,	PUNCT
fcis-28660	72	6	this	this	DET
fcis-28660	72	7	paper	paper	NOUN
fcis-28660	72	8	adopts	adopt	VERB
fcis-28660	72	9	the	the	DET
fcis-28660	72	10	idea	idea	NOUN
fcis-28660	72	11	of	of	ADP
fcis-28660	72	12	recommending	recommend	VERB
fcis-28660	72	13	traditional	traditional	ADJ
fcis-28660	72	14	chinese	chinese	ADJ
fcis-28660	72	15	medicine	medicine	NOUN
fcis-28660	72	16	prescriptions	prescription	NOUN
fcis-28660	72	17	based	base	VERB
fcis-28660	72	18	on	on	ADP
fcis-28660	72	19	content	content	NOUN
fcis-28660	72	20	recommendation	recommendation	NOUN
fcis-28660	72	21	method	method	NOUN
fcis-28660	72	22	to	to	PART
fcis-28660	72	23	build	build	VERB
fcis-28660	72	24	the	the	DET
fcis-28660	72	25	recommendation	recommendation	NOUN
fcis-28660	72	26	model	model	NOUN
fcis-28660	72	27	of	of	ADP
fcis-28660	72	28	intelligent	intelligent	ADJ
fcis-28660	72	29	traditional	traditional	ADJ
fcis-28660	72	30	chinese	chinese	ADJ
fcis-28660	72	31	medicine	medicine	NOUN
fcis-28660	72	32	prescription	prescription	NOUN
fcis-28660	72	33	system	system	NOUN
fcis-28660	72	34	.	.	PUNCT
fcis-28660	73	1	3.2	3.2	NUM
fcis-28660	73	2	.	.	PUNCT
fcis-28660	74	1	content	content	NOUN
fcis-28660	74	2	-	-	PUNCT
fcis-28660	74	3	based	base	VERB
fcis-28660	74	4	recommendation	recommendation	NOUN
fcis-28660	74	5	algorithm	algorithm	NOUN
fcis-28660	74	6	model	model	NOUN
fcis-28660	74	7	analysis	analysis	NOUN
fcis-28660	74	8	content	content	NOUN
fcis-28660	74	9	-	-	PUNCT
fcis-28660	74	10	based	base	VERB
fcis-28660	74	11	recommendation	recommendation	NOUN
fcis-28660	74	12	algorithm	algorithm	NOUN
fcis-28660	74	13	mainly	mainly	ADV
fcis-28660	74	14	consists	consist	VERB
fcis-28660	74	15	of	of	ADP
fcis-28660	74	16	three	three	NUM
fcis-28660	74	17	main	main	ADJ
fcis-28660	74	18	parts	part	NOUN
fcis-28660	74	19	.	.	PUNCT
fcis-28660	75	1	the	the	DET
fcis-28660	75	2	first	first	ADJ
fcis-28660	75	3	is	be	AUX
fcis-28660	75	4	to	to	PART
fcis-28660	75	5	extract	extract	VERB
fcis-28660	75	6	the	the	DET
fcis-28660	75	7	attributes	attribute	NOUN
fcis-28660	75	8	of	of	ADP
fcis-28660	75	9	folk	folk	NOUN
fcis-28660	75	10	feature	feature	NOUN
fcis-28660	75	11	words	word	NOUN
fcis-28660	75	12	:	:	PUNCT
fcis-28660	75	13	it	it	PRON
fcis-28660	75	14	is	be	AUX
fcis-28660	75	15	to	to	PART
fcis-28660	75	16	obtain	obtain	VERB
fcis-28660	75	17	the	the	DET
fcis-28660	75	18	characteristics	characteristic	NOUN
fcis-28660	75	19	of	of	ADP
fcis-28660	75	20	folk	folk	NOUN
fcis-28660	75	21	information	information	NOUN
fcis-28660	75	22	in	in	ADP
fcis-28660	75	23	the	the	DET
fcis-28660	75	24	text	text	NOUN
fcis-28660	75	25	and	and	CCONJ
fcis-28660	75	26	get	get	VERB
fcis-28660	75	27	the	the	DET
fcis-28660	75	28	data	datum	NOUN
fcis-28660	75	29	set	set	VERB
fcis-28660	75	30	of	of	ADP
fcis-28660	75	31	folk	folk	NOUN
fcis-28660	75	32	attributes	attribute	VERB
fcis-28660	75	33	.	.	PUNCT
fcis-28660	76	1	it	it	PRON
fcis-28660	76	2	is	be	AUX
fcis-28660	76	3	mainly	mainly	ADV
fcis-28660	76	4	composed	compose	VERB
fcis-28660	76	5	of	of	ADP
fcis-28660	76	6	structural	structural	ADJ
fcis-28660	76	7	attributes	attribute	NOUN
fcis-28660	76	8	and	and	CCONJ
fcis-28660	76	9	nonstructural	nonstructural	ADJ
fcis-28660	76	10	attributes	attribute	NOUN
fcis-28660	76	11	,	,	PUNCT
fcis-28660	76	12	and	and	CCONJ
fcis-28660	76	13	the	the	DET
fcis-28660	76	14	specific	specific	ADJ
fcis-28660	76	15	components	component	NOUN
fcis-28660	76	16	are	be	AUX
fcis-28660	76	17	described	describe	VERB
fcis-28660	76	18	above	above	ADV
fcis-28660	76	19	.	.	PUNCT
fcis-28660	77	1	the	the	DET
fcis-28660	77	2	second	second	ADJ
fcis-28660	77	3	is	be	AUX
fcis-28660	77	4	the	the	DET
fcis-28660	77	5	training	training	NOUN
fcis-28660	77	6	of	of	ADP
fcis-28660	77	7	user	user	NOUN
fcis-28660	77	8	demand	demand	NOUN
fcis-28660	77	9	characteristics	characteristic	NOUN
fcis-28660	77	10	:	:	PUNCT
fcis-28660	77	11	on	on	ADP
fcis-28660	77	12	the	the	DET
fcis-28660	77	13	information	information	NOUN
fcis-28660	77	14	such	such	ADJ
fcis-28660	77	15	as	as	ADP
fcis-28660	77	16	the	the	DET
fcis-28660	77	17	evaluation	evaluation	NOUN
fcis-28660	77	18	after	after	ADP
fcis-28660	77	19	the	the	DET
fcis-28660	77	20	use	use	NOUN
fcis-28660	77	21	of	of	ADP
fcis-28660	77	22	the	the	DET
fcis-28660	77	23	screened	screen	VERB
fcis-28660	77	24	prescription	prescription	NOUN
fcis-28660	77	25	by	by	ADP
fcis-28660	77	26	the	the	DET
fcis-28660	77	27	user	user	NOUN
fcis-28660	77	28	,	,	PUNCT
fcis-28660	77	29	it	it	PRON
fcis-28660	77	30	can	can	AUX
fcis-28660	77	31	be	be	AUX
fcis-28660	77	32	seen	see	VERB
fcis-28660	77	33	whether	whether	SCONJ
fcis-28660	77	34	the	the	DET
fcis-28660	77	35	user	user	NOUN
fcis-28660	77	36	has	have	VERB
fcis-28660	77	37	the	the	DET
fcis-28660	77	38	intention	intention	NOUN
fcis-28660	77	39	of	of	ADP
fcis-28660	77	40	the	the	DET
fcis-28660	77	41	prescription	prescription	NOUN
fcis-28660	77	42	,	,	PUNCT
fcis-28660	77	43	and	and	CCONJ
fcis-28660	77	44	the	the	DET
fcis-28660	77	45	background	background	NOUN
fcis-28660	77	46	information	information	NOUN
fcis-28660	77	47	of	of	ADP
fcis-28660	77	48	these	these	DET
fcis-28660	77	49	prescriptions	prescription	NOUN
fcis-28660	77	50	can	can	AUX
fcis-28660	77	51	train	train	VERB
fcis-28660	77	52	the	the	DET
fcis-28660	77	53	user	user	NOUN
fcis-28660	77	54	's	's	PART
fcis-28660	77	55	needs	need	NOUN
fcis-28660	77	56	.	.	PUNCT
fcis-28660	78	1	the	the	DET
fcis-28660	78	2	third	third	NOUN
fcis-28660	78	3	is	be	AUX
fcis-28660	78	4	to	to	PART
fcis-28660	78	5	recommend	recommend	VERB
fcis-28660	78	6	its	its	PRON
fcis-28660	78	7	folk	folk	NOUN
fcis-28660	78	8	remedies	remedy	NOUN
fcis-28660	78	9	.	.	PUNCT
fcis-28660	79	1	by	by	ADP
fcis-28660	79	2	calculating	calculate	VERB
fcis-28660	79	3	the	the	DET
fcis-28660	79	4	characteristics	characteristic	NOUN
fcis-28660	79	5	of	of	ADP
fcis-28660	79	6	user	user	NOUN
fcis-28660	79	7	intention	intention	NOUN
fcis-28660	79	8	and	and	CCONJ
fcis-28660	79	9	the	the	DET
fcis-28660	79	10	collected	collect	VERB
fcis-28660	79	11	folk	folk	NOUN
fcis-28660	79	12	prescriptions	prescription	NOUN
fcis-28660	79	13	characteristic	characteristic	ADJ
fcis-28660	79	14	words	word	NOUN
fcis-28660	79	15	,	,	PUNCT
fcis-28660	79	16	keyword	keyword	NOUN
fcis-28660	79	17	comparison	comparison	NOUN
fcis-28660	79	18	and	and	CCONJ
fcis-28660	79	19	similarity	similarity	NOUN
fcis-28660	79	20	calculation	calculation	NOUN
fcis-28660	79	21	are	be	AUX
fcis-28660	79	22	carried	carry	VERB
fcis-28660	79	23	out	out	ADP
fcis-28660	79	24	,	,	PUNCT
fcis-28660	79	25	and	and	CCONJ
fcis-28660	79	26	then	then	ADV
fcis-28660	79	27	the	the	DET
fcis-28660	79	28	recommendation	recommendation	NOUN
fcis-28660	79	29	result	result	NOUN
fcis-28660	79	30	is	be	AUX
fcis-28660	79	31	output	output	NOUN
fcis-28660	79	32	,	,	PUNCT
fcis-28660	79	33	and	and	CCONJ
fcis-28660	79	34	the	the	DET
fcis-28660	79	35	first	first	ADJ
fcis-28660	79	36	s	s	PART
fcis-28660	79	37	folk	folk	NOUN
fcis-28660	79	38	prescriptions	prescription	NOUN
fcis-28660	79	39	are	be	AUX
fcis-28660	79	40	also	also	ADV
fcis-28660	79	41	recommended	recommend	VERB
fcis-28660	79	42	to	to	ADP
fcis-28660	79	43	the	the	DET
fcis-28660	79	44	user	user	NOUN
fcis-28660	79	45	.	.	PUNCT
fcis-28660	80	1	in	in	ADP
fcis-28660	80	2	the	the	DET
fcis-28660	80	3	traditional	traditional	ADJ
fcis-28660	80	4	method	method	NOUN
fcis-28660	80	5	,	,	PUNCT
fcis-28660	80	6	the	the	DET
fcis-28660	80	7	method	method	NOUN
fcis-28660	80	8	to	to	PART
fcis-28660	80	9	deal	deal	VERB
fcis-28660	80	10	with	with	ADP
fcis-28660	80	11	the	the	DET
fcis-28660	80	12	unstructured	unstructured	ADJ
fcis-28660	80	13	attributes	attribute	NOUN
fcis-28660	80	14	of	of	ADP
fcis-28660	80	15	product	product	NOUN
fcis-28660	80	16	feature	feature	NOUN
fcis-28660	80	17	extraction	extraction	NOUN
fcis-28660	80	18	is	be	AUX
fcis-28660	80	19	to	to	PART
fcis-28660	80	20	describe	describe	VERB
fcis-28660	80	21	each	each	DET
fcis-28660	80	22	product	product	NOUN
fcis-28660	80	23	with	with	ADP
fcis-28660	80	24	feature	feature	NOUN
fcis-28660	80	25	items	item	NOUN
fcis-28660	80	26	(	(	PUNCT
fcis-28660	80	27	also	also	ADV
fcis-28660	80	28	called	call	VERB
fcis-28660	80	29	keywords	keyword	NOUN
fcis-28660	80	30	)	)	PUNCT
fcis-28660	80	31	,	,	PUNCT
fcis-28660	80	32	and	and	CCONJ
fcis-28660	80	33	calculate	calculate	VERB
fcis-28660	80	34	the	the	DET
fcis-28660	80	35	weight	weight	NOUN
fcis-28660	80	36	of	of	ADP
fcis-28660	80	37	the	the	DET
fcis-28660	80	38	feature	feature	NOUN
fcis-28660	80	39	items	item	NOUN
fcis-28660	80	40	by	by	ADP
fcis-28660	80	41	using	use	VERB
fcis-28660	80	42	tf	tf	PROPN
fcis-28660	80	43	-	-	PUNCT
fcis-28660	80	44	idf	idf	PROPN
fcis-28660	80	45	[	[	X
fcis-28660	80	46	6~7	6~7	NUM
fcis-28660	80	47	]	]	X
fcis-28660	80	48	calculation	calculation	NOUN
fcis-28660	80	49	method	method	NOUN
fcis-28660	80	50	.	.	PUNCT
fcis-28660	81	1	next	next	ADV
fcis-28660	81	2	,	,	PUNCT
fcis-28660	81	3	each	each	DET
fcis-28660	81	4	feature	feature	NOUN
fcis-28660	81	5	item	item	NOUN
fcis-28660	81	6	is	be	AUX
fcis-28660	81	7	assigned	assign	VERB
fcis-28660	81	8	a	a	DET
fcis-28660	81	9	different	different	ADJ
fcis-28660	81	10	weight	weight	NOUN
fcis-28660	81	11	value	value	NOUN
fcis-28660	81	12	w	w	NOUN
fcis-28660	81	13	to	to	PART
fcis-28660	81	14	distinguish	distinguish	VERB
fcis-28660	81	15	the	the	DET
fcis-28660	81	16	98	98	NUM
fcis-28660	81	17	importance	importance	NOUN
fcis-28660	81	18	of	of	ADP
fcis-28660	81	19	each	each	DET
fcis-28660	81	20	feature	feature	NOUN
fcis-28660	81	21	item	item	NOUN
fcis-28660	81	22	.	.	PUNCT
fcis-28660	82	1	the	the	DET
fcis-28660	82	2	text	text	NOUN
fcis-28660	82	3	can	can	AUX
fcis-28660	82	4	be	be	AUX
fcis-28660	82	5	represented	represent	VERB
fcis-28660	82	6	as	as	ADP
fcis-28660	82	7	t	t	PROPN
fcis-28660	82	8	=	=	SYM
fcis-28660	82	9	(	(	PUNCT
fcis-28660	82	10	t1	t1	PROPN
fcis-28660	82	11	,	,	PUNCT
fcis-28660	82	12	w1	w1	NOUN
fcis-28660	82	13	;	;	PUNCT
fcis-28660	82	14	t2	t2	NOUN
fcis-28660	82	15	,	,	PUNCT
fcis-28660	82	16	w2	w2	NOUN
fcis-28660	82	17	;	;	PUNCT
fcis-28660	82	18	...	...	PUNCT
fcis-28660	82	19	tn	tn	PROPN
fcis-28660	82	20	,	,	PUNCT
fcis-28660	82	21	wn	wn	PROPN
fcis-28660	82	22	)	)	PUNCT
fcis-28660	82	23	,	,	PUNCT
fcis-28660	82	24	abbreviated	abbreviate	VERB
fcis-28660	82	25	t	t	NOUN
fcis-28660	82	26	=	=	SYM
fcis-28660	82	27	(	(	PUNCT
fcis-28660	82	28	w1	w1	NOUN
fcis-28660	82	29	,	,	PUNCT
fcis-28660	82	30	w2	w2	NOUN
fcis-28660	82	31	...	...	PUNCT
fcis-28660	82	32	wn	wn	PROPN
fcis-28660	82	33	)	)	PUNCT
fcis-28660	82	34	.	.	PUNCT
fcis-28660	83	1	the	the	DET
fcis-28660	83	2	tf	tf	PROPN
fcis-28660	83	3	-	-	PUNCT
fcis-28660	83	4	idf	idf	PROPN
fcis-28660	83	5	method	method	NOUN
fcis-28660	83	6	is	be	AUX
fcis-28660	83	7	used	use	VERB
fcis-28660	83	8	to	to	PART
fcis-28660	83	9	assign	assign	VERB
fcis-28660	83	10	weights	weight	NOUN
fcis-28660	83	11	to	to	ADP
fcis-28660	83	12	each	each	DET
fcis-28660	83	13	function	function	NOUN
fcis-28660	83	14	item	item	NOUN
fcis-28660	83	15	to	to	PART
fcis-28660	83	16	calculate	calculate	VERB
fcis-28660	83	17	how	how	SCONJ
fcis-28660	83	18	important	important	ADJ
fcis-28660	83	19	these	these	DET
fcis-28660	83	20	function	function	NOUN
fcis-28660	83	21	items	item	NOUN
fcis-28660	83	22	are	be	AUX
fcis-28660	83	23	to	to	ADP
fcis-28660	83	24	the	the	DET
fcis-28660	83	25	current	current	ADJ
fcis-28660	83	26	text	text	NOUN
fcis-28660	83	27	in	in	ADP
fcis-28660	83	28	the	the	DET
fcis-28660	83	29	corpus	corpus	NOUN
fcis-28660	83	30	.	.	PUNCT
fcis-28660	84	1	at	at	ADP
fcis-28660	84	2	the	the	DET
fcis-28660	84	3	same	same	ADJ
fcis-28660	84	4	time	time	NOUN
fcis-28660	84	5	,	,	PUNCT
fcis-28660	84	6	this	this	DET
fcis-28660	84	7	method	method	NOUN
fcis-28660	84	8	also	also	ADV
fcis-28660	84	9	has	have	VERB
fcis-28660	84	10	many	many	ADJ
fcis-28660	84	11	shortcomings	shortcoming	NOUN
fcis-28660	84	12	,	,	PUNCT
fcis-28660	84	13	it	it	PRON
fcis-28660	84	14	only	only	ADV
fcis-28660	84	15	takes	take	VERB
fcis-28660	84	16	into	into	ADP
fcis-28660	84	17	account	account	NOUN
fcis-28660	84	18	the	the	DET
fcis-28660	84	19	frequency	frequency	NOUN
fcis-28660	84	20	and	and	CCONJ
fcis-28660	84	21	weight	weight	NOUN
fcis-28660	84	22	of	of	ADP
fcis-28660	84	23	feature	feature	NOUN
fcis-28660	84	24	items	item	NOUN
fcis-28660	84	25	in	in	ADP
fcis-28660	84	26	the	the	DET
fcis-28660	84	27	text	text	NOUN
fcis-28660	84	28	,	,	PUNCT
fcis-28660	84	29	but	but	CCONJ
fcis-28660	84	30	ignores	ignore	VERB
fcis-28660	84	31	the	the	DET
fcis-28660	84	32	relationship	relationship	NOUN
fcis-28660	84	33	between	between	ADP
fcis-28660	84	34	the	the	DET
fcis-28660	84	35	order	order	NOUN
fcis-28660	84	36	of	of	ADP
fcis-28660	84	37	feature	feature	NOUN
fcis-28660	84	38	items	item	NOUN
fcis-28660	84	39	in	in	ADP
fcis-28660	84	40	the	the	DET
fcis-28660	84	41	text	text	NOUN
fcis-28660	84	42	and	and	CCONJ
fcis-28660	84	43	the	the	DET
fcis-28660	84	44	context	context	NOUN
fcis-28660	84	45	semantics	semantic	NOUN
fcis-28660	84	46	,	,	PUNCT
fcis-28660	84	47	and	and	CCONJ
fcis-28660	84	48	there	there	PRON
fcis-28660	84	49	is	be	VERB
fcis-28660	84	50	a	a	DET
fcis-28660	84	51	problem	problem	NOUN
fcis-28660	84	52	of	of	ADP
fcis-28660	84	53	dimensional	dimensional	ADJ
fcis-28660	84	54	disaster	disaster	NOUN
fcis-28660	84	55	.	.	PUNCT
fcis-28660	85	1	this	this	PRON
fcis-28660	85	2	will	will	AUX
fcis-28660	85	3	lead	lead	VERB
fcis-28660	85	4	to	to	ADP
fcis-28660	85	5	the	the	DET
fcis-28660	85	6	query	query	NOUN
fcis-28660	85	7	of	of	ADP
fcis-28660	85	8	information	information	NOUN
fcis-28660	85	9	and	and	CCONJ
fcis-28660	85	10	the	the	DET
fcis-28660	85	11	user	user	NOUN
fcis-28660	85	12	needs	need	VERB
fcis-28660	85	13	the	the	DET
fcis-28660	85	14	treatment	treatment	NOUN
fcis-28660	85	15	method	method	NOUN
fcis-28660	85	16	does	do	AUX
fcis-28660	85	17	not	not	PART
fcis-28660	85	18	meet	meet	VERB
fcis-28660	85	19	.	.	PUNCT
fcis-28660	86	1	3.3	3.3	NUM
fcis-28660	86	2	.	.	PUNCT
fcis-28660	87	1	optimization	optimization	NOUN
fcis-28660	87	2	scheme	scheme	NOUN
fcis-28660	87	3	of	of	ADP
fcis-28660	87	4	similarity	similarity	NOUN
fcis-28660	87	5	technology	technology	NOUN
fcis-28660	87	6	the	the	DET
fcis-28660	87	7	important	important	ADJ
fcis-28660	87	8	research	research	NOUN
fcis-28660	87	9	point	point	NOUN
fcis-28660	87	10	of	of	ADP
fcis-28660	87	11	using	use	VERB
fcis-28660	87	12	content	content	NOUN
fcis-28660	87	13	-	-	PUNCT
fcis-28660	87	14	based	base	VERB
fcis-28660	87	15	recommendation	recommendation	NOUN
fcis-28660	87	16	computing	computing	NOUN
fcis-28660	87	17	method	method	NOUN
fcis-28660	87	18	in	in	ADP
fcis-28660	87	19	the	the	DET
fcis-28660	87	20	project	project	NOUN
fcis-28660	87	21	is	be	AUX
fcis-28660	87	22	to	to	PART
fcis-28660	87	23	calculate	calculate	VERB
fcis-28660	87	24	the	the	DET
fcis-28660	87	25	similarity	similarity	NOUN
fcis-28660	87	26	of	of	ADP
fcis-28660	87	27	folk	folk	NOUN
fcis-28660	87	28	recipe	recipe	NOUN
fcis-28660	87	29	attribute	attribute	NOUN
fcis-28660	87	30	feature	feature	NOUN
fcis-28660	87	31	screening	screening	NOUN
fcis-28660	87	32	and	and	CCONJ
fcis-28660	87	33	user	user	NOUN
fcis-28660	87	34	feature	feature	NOUN
fcis-28660	87	35	selection	selection	NOUN
fcis-28660	87	36	obtained	obtain	VERB
fcis-28660	87	37	through	through	ADP
fcis-28660	87	38	training	training	NOUN
fcis-28660	87	39	.	.	PUNCT
fcis-28660	88	1	if	if	SCONJ
fcis-28660	88	2	we	we	PRON
fcis-28660	88	3	know	know	VERB
fcis-28660	88	4	the	the	DET
fcis-28660	88	5	needs	need	NOUN
fcis-28660	88	6	of	of	ADP
fcis-28660	88	7	the	the	DET
fcis-28660	88	8	user	user	NOUN
fcis-28660	88	9	,	,	PUNCT
fcis-28660	88	10	and	and	CCONJ
fcis-28660	88	11	learn	learn	VERB
fcis-28660	88	12	the	the	DET
fcis-28660	88	13	characteristics	characteristic	NOUN
fcis-28660	88	14	of	of	ADP
fcis-28660	88	15	the	the	DET
fcis-28660	88	16	user	user	NOUN
fcis-28660	88	17	's	's	PART
fcis-28660	88	18	prescription	prescription	NOUN
fcis-28660	88	19	,	,	PUNCT
fcis-28660	88	20	we	we	PRON
fcis-28660	88	21	can	can	AUX
fcis-28660	88	22	take	take	VERB
fcis-28660	88	23	this	this	DET
fcis-28660	88	24	prescription	prescription	NOUN
fcis-28660	88	25	as	as	ADP
fcis-28660	88	26	the	the	DET
fcis-28660	88	27	benchmark	benchmark	NOUN
fcis-28660	88	28	,	,	PUNCT
fcis-28660	88	29	calculate	calculate	VERB
fcis-28660	88	30	its	its	PRON
fcis-28660	88	31	similarity	similarity	NOUN
fcis-28660	88	32	with	with	ADP
fcis-28660	88	33	the	the	DET
fcis-28660	88	34	historical	historical	ADJ
fcis-28660	88	35	data	datum	NOUN
fcis-28660	88	36	of	of	ADP
fcis-28660	88	37	various	various	ADJ
fcis-28660	88	38	traditional	traditional	ADJ
fcis-28660	88	39	chinese	chinese	ADJ
fcis-28660	88	40	medicine	medicine	NOUN
fcis-28660	88	41	prescriptions	prescription	NOUN
fcis-28660	88	42	.	.	PUNCT
fcis-28660	89	1	for	for	ADP
fcis-28660	89	2	the	the	DET
fcis-28660	89	3	information	information	NOUN
fcis-28660	89	4	text	text	NOUN
fcis-28660	89	5	input	input	NOUN
fcis-28660	89	6	by	by	ADP
fcis-28660	89	7	users	user	NOUN
fcis-28660	89	8	,	,	PUNCT
fcis-28660	89	9	open	open	VERB
fcis-28660	89	10	the	the	DET
fcis-28660	89	11	intelligent	intelligent	ADJ
fcis-28660	89	12	traditional	traditional	ADJ
fcis-28660	89	13	chinese	chinese	ADJ
fcis-28660	89	14	medicine	medicine	NOUN
fcis-28660	89	15	prescription	prescription	NOUN
fcis-28660	89	16	recommendation	recommendation	NOUN
fcis-28660	89	17	system	system	NOUN
fcis-28660	89	18	in	in	ADP
fcis-28660	89	19	the	the	DET
fcis-28660	89	20	web	web	NOUN
fcis-28660	89	21	page	page	NOUN
fcis-28660	89	22	,	,	PUNCT
fcis-28660	89	23	and	and	CCONJ
fcis-28660	89	24	the	the	DET
fcis-28660	89	25	first	first	ADJ
fcis-28660	89	26	step	step	NOUN
fcis-28660	89	27	is	be	AUX
fcis-28660	89	28	to	to	PART
fcis-28660	89	29	query	query	VERB
fcis-28660	89	30	the	the	DET
fcis-28660	89	31	text	text	NOUN
fcis-28660	89	32	that	that	PRON
fcis-28660	89	33	conforms	conform	VERB
fcis-28660	89	34	to	to	ADP
fcis-28660	89	35	their	their	PRON
fcis-28660	89	36	own	own	ADJ
fcis-28660	89	37	symptoms	symptom	NOUN
fcis-28660	89	38	.	.	PUNCT
fcis-28660	90	1	then	then	ADV
fcis-28660	90	2	,	,	PUNCT
fcis-28660	90	3	the	the	DET
fcis-28660	90	4	next	next	ADJ
fcis-28660	90	5	operation	operation	NOUN
fcis-28660	90	6	is	be	AUX
fcis-28660	90	7	to	to	PART
fcis-28660	90	8	extract	extract	VERB
fcis-28660	90	9	the	the	DET
fcis-28660	90	10	feature	feature	NOUN
fcis-28660	90	11	words	word	NOUN
fcis-28660	90	12	from	from	ADP
fcis-28660	90	13	the	the	DET
fcis-28660	90	14	information	information	NOUN
fcis-28660	90	15	text	text	NOUN
fcis-28660	90	16	input	input	NOUN
fcis-28660	90	17	by	by	ADP
fcis-28660	90	18	users	user	NOUN
fcis-28660	90	19	,	,	PUNCT
fcis-28660	90	20	and	and	CCONJ
fcis-28660	90	21	then	then	ADV
fcis-28660	90	22	carry	carry	VERB
fcis-28660	90	23	out	out	ADP
fcis-28660	90	24	the	the	DET
fcis-28660	90	25	folk	folk	NOUN
fcis-28660	90	26	prescription	prescription	NOUN
fcis-28660	90	27	similar	similar	ADJ
fcis-28660	90	28	to	to	ADP
fcis-28660	90	29	the	the	DET
fcis-28660	90	30	language	language	NOUN
fcis-28660	90	31	meaning	meaning	NOUN
fcis-28660	90	32	in	in	ADP
fcis-28660	90	33	the	the	DET
fcis-28660	90	34	data	datum	NOUN
fcis-28660	90	35	according	accord	VERB
fcis-28660	90	36	to	to	ADP
fcis-28660	90	37	these	these	DET
fcis-28660	90	38	attributes	attribute	NOUN
fcis-28660	90	39	.	.	PUNCT
fcis-28660	91	1	this	this	DET
fcis-28660	91	2	process	process	NOUN
fcis-28660	91	3	enables	enable	VERB
fcis-28660	91	4	the	the	DET
fcis-28660	91	5	personalization	personalization	NOUN
fcis-28660	91	6	of	of	ADP
fcis-28660	91	7	recommendations	recommendation	NOUN
fcis-28660	91	8	.	.	PUNCT
fcis-28660	92	1	this	this	PRON
fcis-28660	92	2	is	be	AUX
fcis-28660	92	3	the	the	DET
fcis-28660	92	4	main	main	ADJ
fcis-28660	92	5	task	task	NOUN
fcis-28660	92	6	of	of	ADP
fcis-28660	92	7	the	the	DET
fcis-28660	92	8	design	design	NOUN
fcis-28660	92	9	of	of	ADP
fcis-28660	92	10	this	this	DET
fcis-28660	92	11	intelligent	intelligent	ADJ
fcis-28660	92	12	chinese	chinese	ADJ
fcis-28660	92	13	medicine	medicine	NOUN
fcis-28660	92	14	prescription	prescription	NOUN
fcis-28660	92	15	system	system	NOUN
fcis-28660	92	16	.	.	PUNCT
fcis-28660	93	1	choosing	choose	VERB
fcis-28660	93	2	a	a	DET
fcis-28660	93	3	suitable	suitable	ADJ
fcis-28660	93	4	similarity	similarity	NOUN
fcis-28660	93	5	calculation	calculation	NOUN
fcis-28660	93	6	method	method	NOUN
fcis-28660	93	7	is	be	AUX
fcis-28660	93	8	the	the	DET
fcis-28660	93	9	essential	essential	ADJ
fcis-28660	93	10	requirement	requirement	NOUN
fcis-28660	93	11	of	of	ADP
fcis-28660	93	12	intelligent	intelligent	ADJ
fcis-28660	93	13	recommendation	recommendation	NOUN
fcis-28660	93	14	.	.	PUNCT
fcis-28660	94	1	in	in	ADP
fcis-28660	94	2	this	this	DET
fcis-28660	94	3	design	design	NOUN
fcis-28660	94	4	,	,	PUNCT
fcis-28660	94	5	according	accord	VERB
fcis-28660	94	6	to	to	ADP
fcis-28660	94	7	the	the	DET
fcis-28660	94	8	analysis	analysis	NOUN
fcis-28660	94	9	of	of	ADP
fcis-28660	94	10	the	the	DET
fcis-28660	94	11	characteristics	characteristic	NOUN
fcis-28660	94	12	of	of	ADP
fcis-28660	94	13	users	user	NOUN
fcis-28660	94	14	in	in	ADP
fcis-28660	94	15	voice	voice	NOUN
fcis-28660	94	16	input	input	NOUN
fcis-28660	94	17	or	or	CCONJ
fcis-28660	94	18	keyboard	keyboard	NOUN
fcis-28660	94	19	input	input	NOUN
fcis-28660	94	20	,	,	PUNCT
fcis-28660	94	21	there	there	PRON
fcis-28660	94	22	are	be	VERB
fcis-28660	94	23	relatively	relatively	ADV
fcis-28660	94	24	colloquial	colloquial	ADJ
fcis-28660	94	25	phenomena	phenomenon	NOUN
fcis-28660	94	26	.	.	PUNCT
fcis-28660	95	1	therefore	therefore	ADV
fcis-28660	95	2	,	,	PUNCT
fcis-28660	95	3	the	the	DET
fcis-28660	95	4	cosine	cosine	NOUN
fcis-28660	95	5	similarity	similarity	NOUN
fcis-28660	95	6	calculation	calculation	NOUN
fcis-28660	95	7	method	method	NOUN
fcis-28660	95	8	is	be	AUX
fcis-28660	95	9	applied	apply	VERB
fcis-28660	95	10	,	,	PUNCT
fcis-28660	95	11	so	so	SCONJ
fcis-28660	95	12	that	that	SCONJ
fcis-28660	95	13	the	the	DET
fcis-28660	95	14	recommended	recommend	VERB
fcis-28660	95	15	result	result	NOUN
fcis-28660	95	16	will	will	AUX
fcis-28660	95	17	be	be	AUX
fcis-28660	95	18	more	more	ADV
fcis-28660	95	19	accurate	accurate	ADJ
fcis-28660	95	20	.	.	PUNCT
fcis-28660	96	1	3.3.1	3.3.1	X
fcis-28660	96	2	.	.	PUNCT
fcis-28660	96	3	cosine	cosine	NOUN
fcis-28660	96	4	calculation	calculation	NOUN
fcis-28660	96	5	method	method	VERB
fcis-28660	96	6	the	the	DET
fcis-28660	96	7	cosine	cosine	NOUN
fcis-28660	96	8	value	value	NOUN
fcis-28660	96	9	is	be	AUX
fcis-28660	96	10	used	use	VERB
fcis-28660	96	11	to	to	PART
fcis-28660	96	12	calculate	calculate	VERB
fcis-28660	96	13	the	the	DET
fcis-28660	96	14	relationship	relationship	NOUN
fcis-28660	96	15	between	between	ADP
fcis-28660	96	16	vectors	vector	NOUN
fcis-28660	96	17	,	,	PUNCT
fcis-28660	96	18	and	and	CCONJ
fcis-28660	96	19	we	we	PRON
fcis-28660	96	20	infer	infer	VERB
fcis-28660	96	21	this	this	PRON
fcis-28660	96	22	by	by	ADP
fcis-28660	96	23	calculating	calculate	VERB
fcis-28660	96	24	the	the	DET
fcis-28660	96	25	angle	angle	NOUN
fcis-28660	96	26	between	between	ADP
fcis-28660	96	27	them	they	PRON
fcis-28660	96	28	.	.	PUNCT
fcis-28660	97	1	the	the	DET
fcis-28660	97	2	cosine	cosine	NOUN
fcis-28660	97	3	value	value	NOUN
fcis-28660	97	4	can	can	AUX
fcis-28660	97	5	be	be	AUX
fcis-28660	97	6	obtained	obtain	VERB
fcis-28660	97	7	through	through	ADP
fcis-28660	97	8	the	the	DET
fcis-28660	97	9	calculation	calculation	NOUN
fcis-28660	97	10	formula	formula	NOUN
fcis-28660	97	11	.	.	PUNCT
fcis-28660	98	1	if	if	SCONJ
fcis-28660	98	2	the	the	DET
fcis-28660	98	3	result	result	NOUN
fcis-28660	98	4	is	be	AUX
fcis-28660	98	5	a	a	DET
fcis-28660	98	6	value	value	NOUN
fcis-28660	98	7	that	that	PRON
fcis-28660	98	8	is	be	AUX
fcis-28660	98	9	infinitely	infinitely	ADV
fcis-28660	98	10	close	close	ADJ
fcis-28660	98	11	to	to	ADP
fcis-28660	98	12	0	0	NUM
fcis-28660	98	13	,	,	PUNCT
fcis-28660	98	14	it	it	PRON
fcis-28660	98	15	means	mean	VERB
fcis-28660	98	16	that	that	SCONJ
fcis-28660	98	17	the	the	DET
fcis-28660	98	18	correlation	correlation	NOUN
fcis-28660	98	19	between	between	ADP
fcis-28660	98	20	the	the	DET
fcis-28660	98	21	two	two	NUM
fcis-28660	98	22	vectors	vector	NOUN
fcis-28660	98	23	is	be	AUX
fcis-28660	98	24	very	very	ADV
fcis-28660	98	25	large	large	ADJ
fcis-28660	98	26	[	[	X
fcis-28660	98	27	8	8	NUM
fcis-28660	98	28	]	]	PUNCT
fcis-28660	98	29	.	.	PUNCT
fcis-28660	99	1	cosine	cosine	NOUN
fcis-28660	99	2	is	be	AUX
fcis-28660	99	3	calculated	calculate	VERB
fcis-28660	99	4	in	in	ADP
fcis-28660	99	5	the	the	DET
fcis-28660	99	6	interval	interval	NOUN
fcis-28660	99	7	[	[	X
fcis-28660	99	8	1,1	1,1	NUM
fcis-28660	99	9	]	]	PUNCT
fcis-28660	99	10	,	,	PUNCT
fcis-28660	99	11	that	that	PRON
fcis-28660	99	12	's	be	AUX
fcis-28660	99	13	its	its	PRON
fcis-28660	99	14	range	range	NOUN
fcis-28660	99	15	,	,	PUNCT
fcis-28660	99	16	but	but	CCONJ
fcis-28660	99	17	if	if	SCONJ
fcis-28660	99	18	the	the	DET
fcis-28660	99	19	value	value	NOUN
fcis-28660	99	20	is	be	AUX
fcis-28660	99	21	1	1	NUM
fcis-28660	99	22	,	,	PUNCT
fcis-28660	99	23	it	it	PRON
fcis-28660	99	24	means	mean	VERB
fcis-28660	99	25	that	that	SCONJ
fcis-28660	99	26	they	they	PRON
fcis-28660	99	27	have	have	VERB
fcis-28660	99	28	the	the	DET
fcis-28660	99	29	same	same	ADJ
fcis-28660	99	30	direction	direction	NOUN
fcis-28660	99	31	,	,	PUNCT
fcis-28660	99	32	if	if	SCONJ
fcis-28660	99	33	the	the	DET
fcis-28660	99	34	value	value	NOUN
fcis-28660	99	35	is	be	AUX
fcis-28660	99	36	-1	-1	PUNCT
fcis-28660	99	37	,	,	PUNCT
fcis-28660	99	38	it	it	PRON
fcis-28660	99	39	means	mean	VERB
fcis-28660	99	40	that	that	SCONJ
fcis-28660	99	41	the	the	DET
fcis-28660	99	42	vector	vector	NOUN
fcis-28660	99	43	is	be	AUX
fcis-28660	99	44	opposite	opposite	ADJ
fcis-28660	99	45	.	.	PUNCT
fcis-28660	100	1	compute	compute	VERB
fcis-28660	100	2	the	the	DET
fcis-28660	100	3	vectors	vector	NOUN
fcis-28660	100	4	a(x1	a(x1	ADJ
fcis-28660	100	5	,	,	PUNCT
fcis-28660	100	6	y1	y1	NOUN
fcis-28660	100	7	)	)	PUNCT
fcis-28660	100	8	,	,	PUNCT
fcis-28660	100	9	b(x2	b(x2	NOUN
fcis-28660	100	10	,	,	PUNCT
fcis-28660	100	11	y2	y2	PROPN
fcis-28660	100	12	)	)	PUNCT
fcis-28660	100	13	with	with	ADP
fcis-28660	100	14	the	the	DET
fcis-28660	100	15	following	follow	VERB
fcis-28660	100	16	formula	formula	NOUN
fcis-28660	100	17	:	:	PUNCT
fcis-28660	100	18			NOUN
fcis-28660	101	1			SYM
fcis-28660	101	2	1	1	NUM
fcis-28660	101	3	2	2	NUM
fcis-28660	101	4	1	1	NUM
fcis-28660	101	5	2	2	NUM
fcis-28660	101	6	2	2	NUM
fcis-28660	101	7	2	2	NUM
fcis-28660	101	8	2	2	NUM
fcis-28660	101	9	2	2	NUM
fcis-28660	101	10	1	1	NUM
fcis-28660	101	11	1	1	NUM
fcis-28660	101	12	2	2	NUM
fcis-28660	101	13	2	2	NUM
fcis-28660	101	14	cos	cos	NOUN
fcis-28660	101	15	x	x	PROPN
fcis-28660	101	16	x	x	VERB
fcis-28660	101	17	y	y	NOUN
fcis-28660	101	18	y	y	PROPN
fcis-28660	101	19	x	x	SYM
fcis-28660	101	20	y	y	NOUN
fcis-28660	101	21	x	x	SYM
fcis-28660	101	22	y	y	PROPN
fcis-28660	101	23			ADV
fcis-28660	101	24			PROPN
fcis-28660	101	25			PROPN
fcis-28660	101	26			PROPN
fcis-28660	101	27			VERB
fcis-28660	101	28	for	for	ADP
fcis-28660	101	29	the	the	DET
fcis-28660	101	30	n	n	ADV
fcis-28660	101	31	-	-	PUNCT
fcis-28660	101	32	dimensional	dimensional	ADJ
fcis-28660	101	33	vector	vector	NOUN
fcis-28660	101	34	a(x1	a(x1	NOUN
fcis-28660	101	35	,	,	PUNCT
fcis-28660	101	36	x2	x2	PROPN
fcis-28660	101	37	......	......	PUNCT
fcis-28660	101	38	)	)	PUNCT
fcis-28660	101	39	xn	xn	PROPN
fcis-28660	101	40	,	,	PUNCT
fcis-28660	101	41	b(y1	b(y1	NOUN
fcis-28660	101	42	,	,	PUNCT
fcis-28660	101	43	y2	y2	PROPN
fcis-28660	101	44	......	......	PUNCT
fcis-28660	101	45	yn	yn	PROPN
fcis-28660	101	46	)	)	PUNCT
fcis-28660	102	1	,	,	PUNCT
fcis-28660	102	2	the	the	DET
fcis-28660	102	3	formula	formula	NOUN
fcis-28660	102	4	is	be	AUX
fcis-28660	102	5	as	as	SCONJ
fcis-28660	102	6	follows	follow	VERB
fcis-28660	102	7	:	:	PUNCT
fcis-28660	102	8			NOUN
fcis-28660	102	9			SYM
fcis-28660	102	10			NOUN
fcis-28660	102	11			SYM
fcis-28660	102	12			NOUN
fcis-28660	102	13			PUNCT
fcis-28660	102	14			NOUN
fcis-28660	102	15			NOUN
fcis-28660	102	16	1	1	NUM
fcis-28660	102	17	2	2	NUM
fcis-28660	102	18	2	2	NUM
fcis-28660	102	19	1	1	NUM
fcis-28660	102	20	1	1	NUM
fcis-28660	102	21	cos	cos	NOUN
fcis-28660	102	22	n	n	NOUN
fcis-28660	103	1	i	i	PRON
fcis-28660	104	1	i	i	PRON
fcis-28660	105	1	i	i	VERB
fcis-28660	106	1	n	n	VERB
fcis-28660	107	1	n	n	NOUN
fcis-28660	108	1	i	i	PRON
fcis-28660	108	2	i	i	PRON
fcis-28660	109	1	i	i	INTJ
fcis-28660	109	2	i	i	VERB
fcis-28660	109	3	x	x	VERB
fcis-28660	110	1	y	y	NOUN
fcis-28660	110	2	x	x	PUNCT
fcis-28660	110	3	y	y	PROPN
fcis-28660	110	4			NUM
fcis-28660	110	5			NUM
fcis-28660	110	6			PROPN
fcis-28660	110	7			ADJ
fcis-28660	110	8			PROPN
fcis-28660	110	9			PROPN
fcis-28660	110	10			PROPN
fcis-28660	110	11			NOUN
fcis-28660	110	12	when	when	SCONJ
fcis-28660	110	13	this	this	DET
fcis-28660	110	14	formula	formula	NOUN
fcis-28660	110	15	is	be	AUX
fcis-28660	110	16	applied	apply	VERB
fcis-28660	110	17	to	to	ADP
fcis-28660	110	18	system	system	NOUN
fcis-28660	110	19	calculations	calculation	NOUN
fcis-28660	110	20	,	,	PUNCT
fcis-28660	110	21	then	then	ADV
fcis-28660	110	22	the	the	DET
fcis-28660	110	23	value	value	NOUN
fcis-28660	110	24	of	of	ADP
fcis-28660	110	25	x	x	PUNCT
fcis-28660	110	26	represents	represent	VERB
fcis-28660	110	27	the	the	DET
fcis-28660	110	28	value	value	NOUN
fcis-28660	110	29	of	of	ADP
fcis-28660	110	30	the	the	DET
fcis-28660	110	31	first	first	ADJ
fcis-28660	110	32	vector	vector	NOUN
fcis-28660	110	33	and	and	CCONJ
fcis-28660	110	34	y	y	NOUN
fcis-28660	110	35	is	be	AUX
fcis-28660	110	36	the	the	DET
fcis-28660	110	37	value	value	NOUN
fcis-28660	110	38	of	of	ADP
fcis-28660	110	39	the	the	DET
fcis-28660	110	40	second	second	ADJ
fcis-28660	110	41	vector	vector	NOUN
fcis-28660	110	42	.	.	PUNCT
fcis-28660	111	1	when	when	SCONJ
fcis-28660	111	2	calculating	calculate	VERB
fcis-28660	111	3	the	the	DET
fcis-28660	111	4	text	text	NOUN
fcis-28660	111	5	similarity	similarity	NOUN
fcis-28660	111	6	,	,	PUNCT
fcis-28660	111	7	the	the	DET
fcis-28660	111	8	second	second	ADJ
fcis-28660	111	9	formula	formula	NOUN
fcis-28660	111	10	above	above	ADV
fcis-28660	111	11	will	will	AUX
fcis-28660	111	12	be	be	AUX
fcis-28660	111	13	used	use	VERB
fcis-28660	111	14	.	.	PUNCT
fcis-28660	112	1	in	in	ADP
fcis-28660	112	2	the	the	DET
fcis-28660	112	3	process	process	NOUN
fcis-28660	112	4	of	of	ADP
fcis-28660	112	5	realizing	realize	VERB
fcis-28660	112	6	the	the	DET
fcis-28660	112	7	intelligent	intelligent	ADJ
fcis-28660	112	8	recommendation	recommendation	NOUN
fcis-28660	112	9	of	of	ADP
fcis-28660	112	10	chinese	chinese	ADJ
fcis-28660	112	11	medicine	medicine	NOUN
fcis-28660	112	12	,	,	PUNCT
fcis-28660	112	13	they	they	PRON
fcis-28660	112	14	will	will	AUX
fcis-28660	112	15	respectively	respectively	ADV
fcis-28660	112	16	use	use	VERB
fcis-28660	112	17	the	the	DET
fcis-28660	112	18	vector	vector	NOUN
fcis-28660	112	19	representation	representation	NOUN
fcis-28660	112	20	of	of	ADP
fcis-28660	112	21	each	each	DET
fcis-28660	112	22	folk	folk	NOUN
fcis-28660	112	23	recipe	recipe	NOUN
fcis-28660	112	24	in	in	ADP
fcis-28660	112	25	the	the	DET
fcis-28660	112	26	obtained	obtain	VERB
fcis-28660	112	27	data	datum	NOUN
fcis-28660	112	28	and	and	CCONJ
fcis-28660	112	29	the	the	DET
fcis-28660	112	30	vector	vector	NOUN
fcis-28660	112	31	representation	representation	NOUN
fcis-28660	112	32	of	of	ADP
fcis-28660	112	33	the	the	DET
fcis-28660	112	34	folk	folk	NOUN
fcis-28660	112	35	recipe	recipe	NOUN
fcis-28660	112	36	intention	intention	NOUN
fcis-28660	112	37	in	in	ADP
fcis-28660	112	38	the	the	DET
fcis-28660	112	39	problem	problem	NOUN
fcis-28660	112	40	text	text	NOUN
fcis-28660	112	41	input	input	NOUN
fcis-28660	112	42	by	by	ADP
fcis-28660	112	43	the	the	DET
fcis-28660	112	44	user	user	NOUN
fcis-28660	112	45	.	.	PUNCT
fcis-28660	113	1	3.3.2	3.3.2	NUM
fcis-28660	113	2	.	.	X
fcis-28660	113	3	user	user	NOUN
fcis-28660	113	4	label	label	PROPN
fcis-28660	113	5	collaborative	collaborative	ADJ
fcis-28660	113	6	filtering	filtering	NOUN
fcis-28660	113	7	algorithm	algorithm	NOUN
fcis-28660	113	8	the	the	DET
fcis-28660	113	9	main	main	ADJ
fcis-28660	113	10	content	content	NOUN
fcis-28660	113	11	of	of	ADP
fcis-28660	113	12	the	the	DET
fcis-28660	113	13	so	so	ADV
fcis-28660	113	14	-	-	PUNCT
fcis-28660	113	15	called	call	VERB
fcis-28660	113	16	label	label	NOUN
fcis-28660	113	17	is	be	AUX
fcis-28660	113	18	the	the	DET
fcis-28660	113	19	name	name	NOUN
fcis-28660	113	20	that	that	PRON
fcis-28660	113	21	summarizes	summarize	VERB
fcis-28660	113	22	the	the	DET
fcis-28660	113	23	user	user	NOUN
fcis-28660	113	24	's	's	PART
fcis-28660	113	25	personal	personal	ADJ
fcis-28660	113	26	characteristic	characteristic	ADJ
fcis-28660	113	27	information	information	NOUN
fcis-28660	113	28	,	,	PUNCT
fcis-28660	113	29	including	include	VERB
fcis-28660	113	30	the	the	DET
fcis-28660	113	31	user	user	NOUN
fcis-28660	113	32	’s	’s	PART
fcis-28660	113	33	name	name	NOUN
fcis-28660	113	34	,	,	PUNCT
fcis-28660	113	35	mobile	mobile	ADJ
fcis-28660	113	36	phone	phone	NOUN
fcis-28660	113	37	number	number	NOUN
fcis-28660	113	38	,	,	PUNCT
fcis-28660	113	39	avatar	avatar	NOUN
fcis-28660	113	40	and	and	CCONJ
fcis-28660	113	41	other	other	ADJ
fcis-28660	113	42	characteristics	characteristic	NOUN
fcis-28660	113	43	,	,	PUNCT
fcis-28660	113	44	and	and	CCONJ
fcis-28660	113	45	also	also	ADV
fcis-28660	113	46	includes	include	VERB
fcis-28660	113	47	the	the	DET
fcis-28660	113	48	characteristics	characteristic	NOUN
fcis-28660	113	49	screened	screen	VERB
fcis-28660	113	50	from	from	ADP
fcis-28660	113	51	the	the	DET
fcis-28660	113	52	user	user	NOUN
fcis-28660	113	53	's	's	PART
fcis-28660	113	54	input	input	NOUN
fcis-28660	113	55	disease	disease	NOUN
fcis-28660	113	56	text	text	NOUN
fcis-28660	113	57	and	and	CCONJ
fcis-28660	113	58	the	the	DET
fcis-28660	113	59	evaluation	evaluation	NOUN
fcis-28660	113	60	of	of	ADP
fcis-28660	113	61	the	the	DET
fcis-28660	113	62	folk	folk	NOUN
fcis-28660	113	63	prescription	prescription	NOUN
fcis-28660	113	64	.	.	PUNCT
fcis-28660	114	1	the	the	DET
fcis-28660	114	2	folk	folk	NOUN
fcis-28660	114	3	prescription	prescription	NOUN
fcis-28660	114	4	label	label	NOUN
fcis-28660	114	5	is	be	AUX
fcis-28660	114	6	the	the	DET
fcis-28660	114	7	characteristic	characteristic	ADJ
fcis-28660	114	8	label	label	NOUN
fcis-28660	114	9	of	of	ADP
fcis-28660	114	10	the	the	DET
fcis-28660	114	11	input	input	NOUN
fcis-28660	114	12	text	text	NOUN
fcis-28660	114	13	.	.	PUNCT
fcis-28660	115	1	the	the	DET
fcis-28660	115	2	basic	basic	ADJ
fcis-28660	115	3	needs	need	NOUN
fcis-28660	115	4	of	of	ADP
fcis-28660	115	5	users	user	NOUN
fcis-28660	115	6	are	be	AUX
fcis-28660	115	7	filtered	filter	VERB
fcis-28660	115	8	according	accord	VERB
fcis-28660	115	9	to	to	ADP
fcis-28660	115	10	labels	label	NOUN
fcis-28660	115	11	.	.	PUNCT
fcis-28660	116	1	for	for	ADP
fcis-28660	116	2	users	user	NOUN
fcis-28660	116	3	'	'	PART
fcis-28660	116	4	demands	demand	NOUN
fcis-28660	116	5	for	for	ADP
fcis-28660	116	6	folk	folk	NOUN
fcis-28660	116	7	prescriptions	prescription	NOUN
fcis-28660	116	8	,	,	PUNCT
fcis-28660	116	9	the	the	DET
fcis-28660	116	10	weight	weight	NOUN
fcis-28660	116	11	reorganization	reorganization	NOUN
fcis-28660	116	12	of	of	ADP
fcis-28660	116	13	labels	label	NOUN
fcis-28660	116	14	is	be	AUX
fcis-28660	116	15	adopted	adopt	VERB
fcis-28660	116	16	,	,	PUNCT
fcis-28660	116	17	so	so	SCONJ
fcis-28660	116	18	the	the	DET
fcis-28660	116	19	user	user	NOUN
fcis-28660	116	20	label	label	NOUN
fcis-28660	116	21	group	group	NOUN
fcis-28660	116	22	is	be	AUX
fcis-28660	116	23	filtered	filter	VERB
fcis-28660	116	24	.	.	PUNCT
fcis-28660	117	1	the	the	DET
fcis-28660	117	2	core	core	NOUN
fcis-28660	117	3	of	of	ADP
fcis-28660	117	4	the	the	DET
fcis-28660	117	5	design	design	NOUN
fcis-28660	117	6	of	of	ADP
fcis-28660	117	7	this	this	DET
fcis-28660	117	8	algorithm	algorithm	NOUN
fcis-28660	117	9	is	be	AUX
fcis-28660	117	10	[	[	X
fcis-28660	117	11	9~11	9~11	NUM
fcis-28660	117	12	]	]	X
fcis-28660	117	13	:	:	PUNCT
fcis-28660	117	14	the	the	DET
fcis-28660	117	15	calculation	calculation	NOUN
fcis-28660	117	16	method	method	NOUN
fcis-28660	117	17	is	be	AUX
fcis-28660	117	18	used	use	VERB
fcis-28660	117	19	to	to	PART
fcis-28660	117	20	convey	convey	VERB
fcis-28660	117	21	the	the	DET
fcis-28660	117	22	needs	need	NOUN
fcis-28660	117	23	of	of	ADP
fcis-28660	117	24	users	user	NOUN
fcis-28660	117	25	'	'	PART
fcis-28660	117	26	folk	folk	NOUN
fcis-28660	117	27	prescriptions	prescription	NOUN
fcis-28660	117	28	,	,	PUNCT
fcis-28660	117	29	and	and	CCONJ
fcis-28660	117	30	the	the	DET
fcis-28660	117	31	similarity	similarity	NOUN
fcis-28660	117	32	of	of	ADP
fcis-28660	117	33	the	the	DET
fcis-28660	117	34	label	label	NOUN
fcis-28660	117	35	group	group	NOUN
fcis-28660	117	36	is	be	AUX
fcis-28660	117	37	calculated	calculate	VERB
fcis-28660	117	38	to	to	PART
fcis-28660	117	39	recommend	recommend	VERB
fcis-28660	117	40	the	the	DET
fcis-28660	117	41	folk	folk	NOUN
fcis-28660	117	42	prescriptions	prescription	NOUN
fcis-28660	117	43	required	require	VERB
fcis-28660	117	44	by	by	ADP
fcis-28660	117	45	users	user	NOUN
fcis-28660	117	46	.	.	PUNCT
fcis-28660	118	1	calculate	calculate	VERB
fcis-28660	118	2	user	user	NOUN
fcis-28660	118	3	a	a	PRON
fcis-28660	118	4	's	's	PART
fcis-28660	118	5	demand	demand	NOUN
fcis-28660	118	6	rights	right	NOUN
fcis-28660	118	7	reorganize	reorganize	VERB
fcis-28660	118	8	utwa	utwa	NOUN
fcis-28660	118	9	into	into	ADP
fcis-28660	118	10	{	{	PUNCT
fcis-28660	118	11	utwa1	utwa1	NOUN
fcis-28660	118	12	,	,	PUNCT
fcis-28660	118	13	utwa2	utwa2	NOUN
fcis-28660	118	14	,	,	PUNCT
fcis-28660	118	15	...	...	PUNCT
fcis-28660	118	16	,	,	PUNCT
fcis-28660	118	17	utwan	utwan	NOUN
fcis-28660	118	18	}	}	PUNCT
fcis-28660	118	19	and	and	CCONJ
fcis-28660	118	20	other	other	ADJ
fcis-28660	118	21	folk	folk	NOUN
fcis-28660	118	22	prescriptions	prescription	NOUN
fcis-28660	118	23	x	x	PUNCT
fcis-28660	118	24	standard	standard	ADJ
fcis-28660	118	25	weight	weight	NOUN
fcis-28660	118	26	recombination	recombination	NOUN
fcis-28660	118	27	utwx	utwx	NOUN
fcis-28660	118	28	to	to	PART
fcis-28660	118	29	{	{	PUNCT
fcis-28660	118	30	utwx1	utwx1	PROPN
fcis-28660	118	31	,	,	PUNCT
fcis-28660	118	32	utwx2	utwx2	PROPN
fcis-28660	118	33	,	,	PUNCT
fcis-28660	118	34	...	...	PUNCT
fcis-28660	118	35	utwxn	utwxn	ADJ
fcis-28660	118	36	}	}	PUNCT
fcis-28660	118	37	direct	direct	ADJ
fcis-28660	118	38	similarity	similarity	NOUN
fcis-28660	118	39	,	,	PUNCT
fcis-28660	118	40	this	this	DET
fcis-28660	118	41	paper	paper	NOUN
fcis-28660	118	42	is	be	AUX
fcis-28660	118	43	mainly	mainly	ADV
fcis-28660	118	44	used	use	VERB
fcis-28660	118	45	to	to	PART
fcis-28660	118	46	calculate	calculate	VERB
fcis-28660	118	47	the	the	DET
fcis-28660	118	48	similarity	similarity	NOUN
fcis-28660	118	49	degree	degree	NOUN
fcis-28660	118	50	of	of	ADP
fcis-28660	118	51	user	user	NOUN
fcis-28660	118	52	demand	demand	NOUN
fcis-28660	118	53	prescriptions	prescription	NOUN
fcis-28660	118	54	,	,	PUNCT
fcis-28660	118	55	we	we	PRON
fcis-28660	118	56	use	use	VERB
fcis-28660	118	57	cosine	cosine	NOUN
fcis-28660	118	58	similarity	similarity	NOUN
fcis-28660	118	59	to	to	PART
fcis-28660	118	60	calculate	calculate	VERB
fcis-28660	118	61	,	,	PUNCT
fcis-28660	118	62	and	and	CCONJ
fcis-28660	118	63	for	for	ADP
fcis-28660	118	64	collaborative	collaborative	ADJ
fcis-28660	118	65	filtering	filtering	NOUN
fcis-28660	118	66	similarity	similarity	NOUN
fcis-28660	118	67	algorithm	algorithm	NOUN
fcis-28660	118	68	is	be	AUX
fcis-28660	118	69	composed	compose	VERB
fcis-28660	118	70	of	of	ADP
fcis-28660	118	71	cosine	cosine	NOUN
fcis-28660	118	72	value	value	NOUN
fcis-28660	118	73	calculation	calculation	NOUN
fcis-28660	118	74	method	method	NOUN
fcis-28660	118	75	,	,	PUNCT
fcis-28660	118	76	euclidean	euclidean	ADJ
fcis-28660	118	77	distance	distance	NOUN
fcis-28660	118	78	calculation	calculation	NOUN
fcis-28660	118	79	method	method	NOUN
fcis-28660	118	80	and	and	CCONJ
fcis-28660	118	81	pearson	pearson	PROPN
fcis-28660	118	82	coefficient	coefficient	NOUN
fcis-28660	119	1	[	[	X
fcis-28660	119	2	49,50	49,50	X
fcis-28660	119	3	]	]	PUNCT
fcis-28660	119	4	.	.	PUNCT
fcis-28660	120	1	according	accord	VERB
fcis-28660	120	2	to	to	ADP
fcis-28660	120	3	the	the	DET
fcis-28660	120	4	following	follow	VERB
fcis-28660	120	5	formula	formula	NOUN
fcis-28660	120	6	,	,	PUNCT
fcis-28660	120	7	the	the	DET
fcis-28660	120	8	information	information	NOUN
fcis-28660	120	9	of	of	ADP
fcis-28660	120	10	traditional	traditional	ADJ
fcis-28660	120	11	chinese	chinese	ADJ
fcis-28660	120	12	remedies	remedy	NOUN
fcis-28660	120	13	that	that	PRON
fcis-28660	120	14	are	be	AUX
fcis-28660	120	15	very	very	ADV
fcis-28660	120	16	similar	similar	ADJ
fcis-28660	120	17	to	to	ADP
fcis-28660	120	18	user	user	NOUN
fcis-28660	120	19	a	a	PRON
fcis-28660	120	20	is	be	AUX
fcis-28660	120	21	selected	select	VERB
fcis-28660	120	22	through	through	ADP
fcis-28660	120	23	calculation	calculation	NOUN
fcis-28660	120	24	,	,	PUNCT
fcis-28660	120	25	and	and	CCONJ
fcis-28660	120	26	then	then	ADV
fcis-28660	120	27	the	the	DET
fcis-28660	120	28	treatment	treatment	NOUN
fcis-28660	120	29	methods	method	NOUN
fcis-28660	120	30	,	,	PUNCT
fcis-28660	120	31	including	include	VERB
fcis-28660	120	32	usage	usage	NOUN
fcis-28660	120	33	,	,	PUNCT
fcis-28660	120	34	proportion	proportion	NOUN
fcis-28660	120	35	of	of	ADP
fcis-28660	120	36	traditional	traditional	ADJ
fcis-28660	120	37	chinese	chinese	ADJ
fcis-28660	120	38	medicines	medicine	NOUN
fcis-28660	120	39	and	and	CCONJ
fcis-28660	120	40	precautions	precaution	NOUN
fcis-28660	120	41	are	be	AUX
fcis-28660	120	42	recommended	recommend	VERB
fcis-28660	120	43	.	.	PUNCT
fcis-28660	121	1			NOUN
fcis-28660	122	1			PUNCT
fcis-28660	122	2			PROPN
fcis-28660	122	3			PROPN
fcis-28660	122	4	,	,	PUNCT
fcis-28660	122	5	cos	cos	PROPN
fcis-28660	122	6	,	,	PUNCT
fcis-28660	122	7	a	a	PRON
fcis-28660	122	8	x	x	X
fcis-28660	122	9	a	a	DET
fcis-28660	122	10	x	x	SYM
fcis-28660	122	11	a	a	DET
fcis-28660	122	12	x	x	SYM
fcis-28660	122	13	x	x	SYM
fcis-28660	122	14	x	x	SYM
fcis-28660	122	15	utm	utm	PROPN
fcis-28660	122	16	utm	utm	PROPN
fcis-28660	122	17	sim	sim	ADJ
fcis-28660	122	18	utm	utm	PROPN
fcis-28660	122	19	utm	utm	PROPN
fcis-28660	122	20	utm	utm	PROPN
fcis-28660	122	21	utm	utm	ADJ
fcis-28660	122	22	utm	utm	PROPN
fcis-28660	122	23	utm	utm	PROPN
fcis-28660	122	24			NOUN
fcis-28660	123	1			PRON
fcis-28660	123	2			ADJ
fcis-28660	123	3	we	we	PRON
fcis-28660	123	4	calculate	calculate	VERB
fcis-28660	123	5	the	the	DET
fcis-28660	123	6	similarity	similarity	NOUN
fcis-28660	123	7	of	of	ADP
fcis-28660	123	8	the	the	DET
fcis-28660	123	9	folk	folk	NOUN
fcis-28660	123	10	recipe	recipe	NOUN
fcis-28660	123	11	information	information	NOUN
fcis-28660	123	12	in	in	ADP
fcis-28660	123	13	the	the	DET
fcis-28660	123	14	text	text	NOUN
fcis-28660	123	15	information	information	NOUN
fcis-28660	123	16	and	and	CCONJ
fcis-28660	123	17	data	datum	NOUN
fcis-28660	123	18	input	input	NOUN
fcis-28660	123	19	by	by	ADP
fcis-28660	123	20	users	user	NOUN
fcis-28660	123	21	,	,	PUNCT
fcis-28660	123	22	and	and	CCONJ
fcis-28660	123	23	select	select	VERB
fcis-28660	123	24	the	the	DET
fcis-28660	123	25	folk	folk	NOUN
fcis-28660	123	26	recipe	recipe	NOUN
fcis-28660	123	27	that	that	PRON
fcis-28660	123	28	is	be	AUX
fcis-28660	123	29	similar	similar	ADJ
fcis-28660	123	30	and	and	CCONJ
fcis-28660	123	31	meets	meet	VERB
fcis-28660	123	32	the	the	DET
fcis-28660	123	33	needs	need	NOUN
fcis-28660	123	34	of	of	ADP
fcis-28660	123	35	users	user	NOUN
fcis-28660	123	36	.	.	PUNCT
fcis-28660	124	1	therefore	therefore	ADV
fcis-28660	124	2	,	,	PUNCT
fcis-28660	124	3	we	we	PRON
fcis-28660	124	4	can	can	AUX
fcis-28660	124	5	select	select	VERB
fcis-28660	124	6	the	the	DET
fcis-28660	124	7	unused	unused	ADJ
fcis-28660	124	8	folk	folk	NOUN
fcis-28660	124	9	recipe	recipe	NOUN
fcis-28660	124	10	that	that	PRON
fcis-28660	124	11	meets	meet	VERB
fcis-28660	124	12	the	the	DET
fcis-28660	124	13	needs	need	NOUN
fcis-28660	124	14	of	of	ADP
fcis-28660	124	15	users	user	NOUN
fcis-28660	124	16	from	from	ADP
fcis-28660	124	17	the	the	DET
fcis-28660	124	18	calculated	calculate	VERB
fcis-28660	124	19	folk	folk	NOUN
fcis-28660	124	20	recipe	recipe	NOUN
fcis-28660	124	21	.	.	PUNCT
fcis-28660	125	1	at	at	ADP
fcis-28660	125	2	the	the	DET
fcis-28660	125	3	same	same	ADJ
fcis-28660	125	4	time	time	NOUN
fcis-28660	125	5	,	,	PUNCT
fcis-28660	125	6	according	accord	VERB
fcis-28660	125	7	to	to	ADP
fcis-28660	125	8	the	the	DET
fcis-28660	125	9	degree	degree	NOUN
fcis-28660	125	10	and	and	CCONJ
fcis-28660	125	11	constant	constant	ADJ
fcis-28660	125	12	change	change	NOUN
fcis-28660	125	13	of	of	ADP
fcis-28660	125	14	users	user	NOUN
fcis-28660	125	15	'	'	PART
fcis-28660	125	16	demand	demand	NOUN
fcis-28660	125	17	for	for	ADP
fcis-28660	125	18	folk	folk	NOUN
fcis-28660	125	19	recipe	recipe	NOUN
fcis-28660	125	20	,	,	PUNCT
fcis-28660	125	21	continuously	continuously	ADV
fcis-28660	125	22	change	change	VERB
fcis-28660	125	23	the	the	DET
fcis-28660	125	24	user	user	NOUN
fcis-28660	125	25	's	's	PART
fcis-28660	125	26	label	label	NOUN
fcis-28660	125	27	weight	weight	NOUN
fcis-28660	125	28	so	so	SCONJ
fcis-28660	125	29	that	that	SCONJ
fcis-28660	125	30	the	the	DET
fcis-28660	125	31	user	user	NOUN
fcis-28660	125	32	's	's	PART
fcis-28660	125	33	similarity	similarity	NOUN
fcis-28660	125	34	can	can	AUX
fcis-28660	125	35	be	be	AUX
fcis-28660	125	36	calculated	calculate	VERB
fcis-28660	125	37	for	for	ADP
fcis-28660	125	38	subsequent	subsequent	ADJ
fcis-28660	125	39	recommendations	recommendation	NOUN
fcis-28660	125	40	.	.	PUNCT
fcis-28660	126	1	calculate	calculate	VERB
fcis-28660	126	2	the	the	DET
fcis-28660	126	3	similarity	similarity	NOUN
fcis-28660	126	4	between	between	ADP
fcis-28660	126	5	user	user	NOUN
fcis-28660	126	6	a	a	PROPN
fcis-28660	126	7	and	and	CCONJ
fcis-28660	126	8	the	the	DET
fcis-28660	126	9	prescription	prescription	NOUN
fcis-28660	126	10	in	in	ADP
fcis-28660	126	11	the	the	DET
fcis-28660	126	12	data	datum	NOUN
fcis-28660	126	13	,	,	PUNCT
fcis-28660	126	14	select	select	VERB
fcis-28660	126	15	the	the	DET
fcis-28660	126	16	first	first	ADJ
fcis-28660	126	17	m	m	NOUN
fcis-28660	126	18	prescriptions	prescription	NOUN
fcis-28660	126	19	with	with	ADP
fcis-28660	126	20	the	the	DET
fcis-28660	126	21	highest	high	ADJ
fcis-28660	126	22	similarity	similarity	NOUN
fcis-28660	126	23	calculation	calculation	NOUN
fcis-28660	126	24	result	result	NOUN
fcis-28660	126	25	,	,	PUNCT
fcis-28660	126	26	select	select	VERB
fcis-28660	126	27	the	the	DET
fcis-28660	126	28	usage	usage	NOUN
fcis-28660	126	29	and	and	CCONJ
fcis-28660	126	30	evaluation	evaluation	NOUN
fcis-28660	126	31	of	of	ADP
fcis-28660	126	32	these	these	DET
fcis-28660	126	33	m	m	NOUN
fcis-28660	126	34	prescriptions	prescription	NOUN
fcis-28660	126	35	,	,	PUNCT
fcis-28660	126	36	and	and	CCONJ
fcis-28660	126	37	confirm	confirm	VERB
fcis-28660	126	38	that	that	PRON
fcis-28660	126	39	user	user	NOUN
fcis-28660	126	40	a	a	PRON
fcis-28660	126	41	has	have	AUX
fcis-28660	126	42	not	not	PART
fcis-28660	126	43	used	use	VERB
fcis-28660	126	44	the	the	DET
fcis-28660	126	45	prescription	prescription	NOUN
fcis-28660	126	46	.	.	PUNCT
fcis-28660	127	1	when	when	SCONJ
fcis-28660	127	2	recommending	recommend	VERB
fcis-28660	127	3	the	the	DET
fcis-28660	127	4	prescription	prescription	NOUN
fcis-28660	127	5	to	to	ADP
fcis-28660	127	6	the	the	DET
fcis-28660	127	7	system	system	NOUN
fcis-28660	127	8	,	,	PUNCT
fcis-28660	127	9	the	the	DET
fcis-28660	127	10	user	user	NOUN
fcis-28660	127	11	will	will	AUX
fcis-28660	127	12	selectively	selectively	ADV
fcis-28660	127	13	open	open	VERB
fcis-28660	127	14	the	the	DET
fcis-28660	127	15	prescription	prescription	NOUN
fcis-28660	127	16	,	,	PUNCT
fcis-28660	127	17	and	and	CCONJ
fcis-28660	127	18	then	then	ADV
fcis-28660	127	19	operate	operate	VERB
fcis-28660	127	20	according	accord	VERB
fcis-28660	127	21	to	to	ADP
fcis-28660	127	22	the	the	DET
fcis-28660	127	23	label	label	NOUN
fcis-28660	127	24	of	of	ADP
fcis-28660	127	25	the	the	DET
fcis-28660	127	26	prescription	prescription	NOUN
fcis-28660	127	27	.	.	PUNCT
fcis-28660	128	1	furthermore	furthermore	ADV
fcis-28660	128	2	,	,	PUNCT
fcis-28660	128	3	the	the	DET
fcis-28660	128	4	weight	weight	NOUN
fcis-28660	128	5	reorganization	reorganization	NOUN
fcis-28660	128	6	of	of	ADP
fcis-28660	128	7	user	user	NOUN
fcis-28660	128	8	design	design	NOUN
fcis-28660	128	9	is	be	AUX
fcis-28660	128	10	improved	improve	VERB
fcis-28660	128	11	and	and	CCONJ
fcis-28660	128	12	superimposed	superimpose	VERB
fcis-28660	128	13	according	accord	VERB
fcis-28660	128	14	to	to	ADP
fcis-28660	128	15	the	the	DET
fcis-28660	128	16	weight	weight	NOUN
fcis-28660	128	17	reorganization	reorganization	NOUN
fcis-28660	128	18	.	.	PUNCT
fcis-28660	129	1	if	if	SCONJ
fcis-28660	129	2	the	the	DET
fcis-28660	129	3	user	user	NOUN
fcis-28660	129	4	does	do	AUX
fcis-28660	129	5	not	not	PART
fcis-28660	129	6	99	99	NUM
fcis-28660	129	7	choose	choose	VERB
fcis-28660	129	8	one	one	NUM
fcis-28660	129	9	of	of	ADP
fcis-28660	129	10	the	the	DET
fcis-28660	129	11	folk	folk	NOUN
fcis-28660	129	12	remedies	remedy	NOUN
fcis-28660	129	13	in	in	ADP
fcis-28660	129	14	the	the	DET
fcis-28660	129	15	recommendation	recommendation	NOUN
fcis-28660	129	16	result	result	NOUN
fcis-28660	129	17	,	,	PUNCT
fcis-28660	129	18	the	the	DET
fcis-28660	129	19	utw	utw	NOUN
fcis-28660	129	20	of	of	ADP
fcis-28660	129	21	the	the	DET
fcis-28660	129	22	user	user	NOUN
fcis-28660	129	23	's	's	PART
fcis-28660	129	24	demand	demand	NOUN
fcis-28660	129	25	label	label	NOUN
fcis-28660	129	26	right	right	ADJ
fcis-28660	129	27	reorganization	reorganization	NOUN
fcis-28660	129	28	will	will	AUX
fcis-28660	129	29	be	be	AUX
fcis-28660	129	30	changed	change	VERB
fcis-28660	129	31	and	and	CCONJ
fcis-28660	129	32	the	the	DET
fcis-28660	129	33	weight	weight	NOUN
fcis-28660	129	34	of	of	ADP
fcis-28660	129	35	the	the	DET
fcis-28660	129	36	user	user	NOUN
fcis-28660	129	37	's	's	PART
fcis-28660	129	38	demand	demand	NOUN
fcis-28660	129	39	will	will	AUX
fcis-28660	129	40	be	be	AUX
fcis-28660	129	41	reduced	reduce	VERB
fcis-28660	129	42	.	.	PUNCT
fcis-28660	130	1	3.3.3	3.3.3	X
fcis-28660	130	2	.	.	PUNCT
fcis-28660	131	1	an	an	DET
fcis-28660	131	2	item	item	NOUN
fcis-28660	131	3	-	-	PUNCT
fcis-28660	131	4	based	base	VERB
fcis-28660	131	5	label	label	NOUN
fcis-28660	131	6	collaborative	collaborative	ADJ
fcis-28660	131	7	filtering	filtering	NOUN
fcis-28660	131	8	algorithm	algorithm	NOUN
fcis-28660	131	9	the	the	DET
fcis-28660	131	10	overall	overall	ADJ
fcis-28660	131	11	process	process	NOUN
fcis-28660	131	12	of	of	ADP
fcis-28660	131	13	this	this	DET
fcis-28660	131	14	calculation	calculation	NOUN
fcis-28660	131	15	method	method	NOUN
fcis-28660	131	16	is	be	AUX
fcis-28660	131	17	very	very	ADV
fcis-28660	131	18	easy	easy	ADJ
fcis-28660	131	19	to	to	PART
fcis-28660	131	20	get	get	VERB
fcis-28660	131	21	,	,	PUNCT
fcis-28660	131	22	that	that	ADV
fcis-28660	131	23	is	is	ADV
fcis-28660	131	24	,	,	PUNCT
fcis-28660	131	25	when	when	SCONJ
fcis-28660	131	26	the	the	DET
fcis-28660	131	27	user	user	NOUN
fcis-28660	131	28	operates	operate	VERB
fcis-28660	131	29	the	the	DET
fcis-28660	131	30	system	system	NOUN
fcis-28660	131	31	and	and	CCONJ
fcis-28660	131	32	chooses	choose	VERB
fcis-28660	131	33	one	one	NUM
fcis-28660	131	34	of	of	ADP
fcis-28660	131	35	the	the	DET
fcis-28660	131	36	prescriptions	prescription	NOUN
fcis-28660	131	37	to	to	PART
fcis-28660	131	38	read	read	VERB
fcis-28660	131	39	the	the	DET
fcis-28660	131	40	information	information	NOUN
fcis-28660	131	41	,	,	PUNCT
fcis-28660	131	42	then	then	ADV
fcis-28660	131	43	the	the	DET
fcis-28660	131	44	system	system	NOUN
fcis-28660	131	45	will	will	AUX
fcis-28660	131	46	recommend	recommend	VERB
fcis-28660	131	47	the	the	DET
fcis-28660	131	48	information	information	NOUN
fcis-28660	131	49	for	for	ADP
fcis-28660	131	50	this	this	DET
fcis-28660	131	51	prescription	prescription	NOUN
fcis-28660	131	52	,	,	PUNCT
fcis-28660	131	53	and	and	CCONJ
fcis-28660	131	54	the	the	DET
fcis-28660	131	55	main	main	ADJ
fcis-28660	131	56	content	content	NOUN
fcis-28660	131	57	of	of	ADP
fcis-28660	131	58	the	the	DET
fcis-28660	131	59	recommendation	recommendation	NOUN
fcis-28660	131	60	is	be	AUX
fcis-28660	131	61	similar	similar	ADJ
fcis-28660	131	62	to	to	ADP
fcis-28660	131	63	this	this	DET
fcis-28660	131	64	prescription	prescription	NOUN
fcis-28660	131	65	.	.	PUNCT
fcis-28660	132	1	when	when	SCONJ
fcis-28660	132	2	the	the	DET
fcis-28660	132	3	user	user	NOUN
fcis-28660	132	4	queries	query	VERB
fcis-28660	132	5	the	the	DET
fcis-28660	132	6	prescription	prescription	NOUN
fcis-28660	132	7	for	for	ADP
fcis-28660	132	8	treating	treat	VERB
fcis-28660	132	9	hypertension	hypertension	NOUN
fcis-28660	132	10	,	,	PUNCT
fcis-28660	132	11	there	there	PRON
fcis-28660	132	12	is	be	VERB
fcis-28660	132	13	also	also	ADV
fcis-28660	132	14	a	a	DET
fcis-28660	132	15	diabetic	diabetic	ADJ
fcis-28660	132	16	prescription	prescription	NOUN
fcis-28660	132	17	in	in	ADP
fcis-28660	132	18	the	the	DET
fcis-28660	132	19	intelligent	intelligent	ADJ
fcis-28660	132	20	tcm	tcm	PROPN
fcis-28660	132	21	prescription	prescription	NOUN
fcis-28660	132	22	recommendation	recommendation	NOUN
fcis-28660	132	23	system	system	NOUN
fcis-28660	132	24	,	,	PUNCT
fcis-28660	132	25	which	which	PRON
fcis-28660	132	26	has	have	VERB
fcis-28660	132	27	a	a	DET
fcis-28660	132	28	strong	strong	ADJ
fcis-28660	132	29	correlation	correlation	NOUN
fcis-28660	132	30	with	with	ADP
fcis-28660	132	31	the	the	DET
fcis-28660	132	32	prescription	prescription	NOUN
fcis-28660	132	33	read	read	VERB
fcis-28660	132	34	by	by	ADP
fcis-28660	132	35	users	user	NOUN
fcis-28660	132	36	,	,	PUNCT
fcis-28660	132	37	and	and	CCONJ
fcis-28660	132	38	it	it	PRON
fcis-28660	132	39	is	be	AUX
fcis-28660	132	40	so	so	SCONJ
fcis-28660	132	41	that	that	SCONJ
fcis-28660	132	42	users	user	NOUN
fcis-28660	132	43	can	can	AUX
fcis-28660	132	44	recommend	recommend	VERB
fcis-28660	132	45	a	a	DET
fcis-28660	132	46	variety	variety	NOUN
fcis-28660	132	47	of	of	ADP
fcis-28660	132	48	prescriptions	prescription	NOUN
fcis-28660	132	49	according	accord	VERB
fcis-28660	132	50	to	to	ADP
fcis-28660	132	51	their	their	PRON
fcis-28660	132	52	own	own	ADJ
fcis-28660	132	53	reading	reading	NOUN
fcis-28660	132	54	content	content	NOUN
fcis-28660	132	55	,	,	PUNCT
fcis-28660	132	56	so	so	SCONJ
fcis-28660	132	57	that	that	SCONJ
fcis-28660	132	58	they	they	PRON
fcis-28660	132	59	can	can	AUX
fcis-28660	132	60	query	query	VERB
fcis-28660	132	61	the	the	DET
fcis-28660	132	62	prescription	prescription	NOUN
fcis-28660	132	63	that	that	PRON
fcis-28660	132	64	is	be	AUX
fcis-28660	132	65	very	very	ADV
fcis-28660	132	66	in	in	ADP
fcis-28660	132	67	line	line	NOUN
fcis-28660	132	68	with	with	ADP
fcis-28660	132	69	their	their	PRON
fcis-28660	132	70	needs	need	NOUN
fcis-28660	132	71	and	and	CCONJ
fcis-28660	132	72	their	their	PRON
fcis-28660	132	73	own	own	ADJ
fcis-28660	132	74	physical	physical	ADJ
fcis-28660	132	75	conditions	condition	NOUN
fcis-28660	132	76	in	in	ADP
fcis-28660	132	77	a	a	DET
fcis-28660	132	78	limited	limited	ADJ
fcis-28660	132	79	time	time	NOUN
fcis-28660	132	80	.	.	PUNCT
fcis-28660	133	1	correlations	correlation	NOUN
fcis-28660	133	2	between	between	ADP
fcis-28660	133	3	recipes	recipe	NOUN
fcis-28660	133	4	are	be	AUX
fcis-28660	133	5	calculated	calculate	VERB
fcis-28660	133	6	using	use	VERB
fcis-28660	133	7	labels	label	NOUN
fcis-28660	133	8	.	.	PUNCT
fcis-28660	134	1	the	the	DET
fcis-28660	134	2	correlation	correlation	NOUN
fcis-28660	134	3	calculation	calculation	NOUN
fcis-28660	134	4	method	method	NOUN
fcis-28660	134	5	of	of	ADP
fcis-28660	134	6	the	the	DET
fcis-28660	134	7	folk	folk	NOUN
fcis-28660	134	8	formula	formula	NOUN
fcis-28660	134	9	is	be	AUX
fcis-28660	134	10	similar	similar	ADJ
fcis-28660	134	11	to	to	ADP
fcis-28660	134	12	the	the	DET
fcis-28660	134	13	collaborative	collaborative	ADJ
fcis-28660	134	14	filtering	filtering	NOUN
fcis-28660	134	15	algorithm	algorithm	NOUN
fcis-28660	134	16	based	base	VERB
fcis-28660	134	17	on	on	ADP
fcis-28660	134	18	user	user	NOUN
fcis-28660	134	19	labels	label	NOUN
fcis-28660	134	20	,	,	PUNCT
fcis-28660	134	21	and	and	CCONJ
fcis-28660	134	22	the	the	DET
fcis-28660	134	23	cosine	cosine	NOUN
fcis-28660	134	24	algorithm	algorithm	NOUN
fcis-28660	134	25	can	can	AUX
fcis-28660	134	26	also	also	ADV
fcis-28660	134	27	be	be	AUX
fcis-28660	134	28	used	use	VERB
fcis-28660	134	29	to	to	PART
fcis-28660	134	30	determine	determine	VERB
fcis-28660	134	31	the	the	DET
fcis-28660	134	32	direct	direct	ADJ
fcis-28660	134	33	similarity	similarity	NOUN
fcis-28660	134	34	of	of	ADP
fcis-28660	134	35	partial	partial	ADJ
fcis-28660	134	36	squares	square	NOUN
fcis-28660	134	37	.	.	PUNCT
fcis-28660	135	1	3.4	3.4	NUM
fcis-28660	135	2	.	.	PUNCT
fcis-28660	135	3	speech	speech	NOUN
fcis-28660	135	4	recognition	recognition	NOUN
fcis-28660	135	5	technology	technology	NOUN
fcis-28660	135	6	based	base	VERB
fcis-28660	135	7	on	on	ADP
fcis-28660	135	8	bp	bp	PROPN
fcis-28660	135	9	neural	neural	ADJ
fcis-28660	135	10	network	network	NOUN
fcis-28660	135	11	voice	voice	NOUN
fcis-28660	135	12	recognition	recognition	NOUN
fcis-28660	135	13	technology	technology	NOUN
fcis-28660	135	14	is	be	AUX
fcis-28660	135	15	also	also	ADV
fcis-28660	135	16	crucial	crucial	ADJ
fcis-28660	135	17	in	in	ADP
fcis-28660	135	18	the	the	DET
fcis-28660	135	19	implementation	implementation	NOUN
fcis-28660	135	20	of	of	ADP
fcis-28660	135	21	the	the	DET
fcis-28660	135	22	recommendation	recommendation	NOUN
fcis-28660	135	23	system	system	NOUN
fcis-28660	135	24	,	,	PUNCT
fcis-28660	135	25	determining	determine	VERB
fcis-28660	135	26	whether	whether	SCONJ
fcis-28660	135	27	accurately	accurately	ADV
fcis-28660	135	28	finding	find	VERB
fcis-28660	135	29	the	the	DET
fcis-28660	135	30	symptoms	symptom	NOUN
fcis-28660	135	31	that	that	PRON
fcis-28660	135	32	are	be	AUX
fcis-28660	135	33	appropriate	appropriate	ADJ
fcis-28660	135	34	for	for	SCONJ
fcis-28660	135	35	the	the	DET
fcis-28660	135	36	user	user	NOUN
fcis-28660	135	37	is	be	AUX
fcis-28660	135	38	a	a	DET
fcis-28660	135	39	critical	critical	ADJ
fcis-28660	135	40	step	step	NOUN
fcis-28660	135	41	and	and	CCONJ
fcis-28660	135	42	an	an	DET
fcis-28660	135	43	essential	essential	ADJ
fcis-28660	135	44	part	part	NOUN
fcis-28660	135	45	.	.	PUNCT
fcis-28660	136	1	dtw	dtw	PROPN
fcis-28660	136	2	,	,	PUNCT
fcis-28660	136	3	hidden	hidden	ADJ
fcis-28660	136	4	markov	markov	NOUN
fcis-28660	136	5	,	,	PUNCT
fcis-28660	136	6	and	and	CCONJ
fcis-28660	136	7	other	other	ADJ
fcis-28660	136	8	methods	method	NOUN
fcis-28660	136	9	of	of	ADP
fcis-28660	136	10	neural	neural	ADJ
fcis-28660	136	11	networks	network	NOUN
fcis-28660	136	12	can	can	AUX
fcis-28660	136	13	be	be	AUX
fcis-28660	136	14	used	use	VERB
fcis-28660	136	15	to	to	PART
fcis-28660	136	16	achieve	achieve	VERB
fcis-28660	136	17	non	non	ADJ
fcis-28660	136	18	-	-	ADJ
fcis-28660	136	19	specific	specific	ADJ
fcis-28660	136	20	speech	speech	NOUN
fcis-28660	136	21	recognition	recognition	NOUN
fcis-28660	136	22	,	,	PUNCT
fcis-28660	136	23	and	and	CCONJ
fcis-28660	136	24	many	many	ADJ
fcis-28660	136	25	computational	computational	ADJ
fcis-28660	136	26	methods	method	NOUN
fcis-28660	136	27	have	have	VERB
fcis-28660	136	28	their	their	PRON
fcis-28660	136	29	own	own	ADJ
fcis-28660	136	30	advantages	advantage	NOUN
fcis-28660	136	31	.	.	PUNCT
fcis-28660	137	1	this	this	DET
fcis-28660	137	2	paper	paper	NOUN
fcis-28660	137	3	introduces	introduce	VERB
fcis-28660	137	4	the	the	DET
fcis-28660	137	5	basic	basic	ADJ
fcis-28660	137	6	principle	principle	NOUN
fcis-28660	137	7	,	,	PUNCT
fcis-28660	137	8	structure	structure	NOUN
fcis-28660	137	9	and	and	CCONJ
fcis-28660	137	10	application	application	NOUN
fcis-28660	137	11	of	of	ADP
fcis-28660	137	12	bp	bp	PROPN
fcis-28660	137	13	neural	neural	ADJ
fcis-28660	137	14	network	network	NOUN
fcis-28660	137	15	in	in	ADP
fcis-28660	137	16	speech	speech	NOUN
fcis-28660	137	17	recognition	recognition	NOUN
fcis-28660	137	18	technology	technology	NOUN
fcis-28660	137	19	,	,	PUNCT
fcis-28660	137	20	as	as	ADV
fcis-28660	137	21	well	well	ADV
fcis-28660	137	22	as	as	ADP
fcis-28660	137	23	its	its	PRON
fcis-28660	137	24	advantages	advantage	NOUN
fcis-28660	137	25	and	and	CCONJ
fcis-28660	137	26	disadvantages	disadvantage	NOUN
fcis-28660	137	27	.	.	PUNCT
fcis-28660	138	1	this	this	DET
fcis-28660	138	2	paper	paper	NOUN
fcis-28660	138	3	designs	design	VERB
fcis-28660	138	4	the	the	DET
fcis-28660	138	5	model	model	NOUN
fcis-28660	138	6	formed	form	VERB
fcis-28660	138	7	by	by	ADP
fcis-28660	138	8	the	the	DET
fcis-28660	138	9	combination	combination	NOUN
fcis-28660	138	10	of	of	ADP
fcis-28660	138	11	hidden	hide	VERB
fcis-28660	138	12	markov	markov	NOUN
fcis-28660	138	13	model	model	NOUN
fcis-28660	138	14	and	and	CCONJ
fcis-28660	138	15	bp	bp	PROPN
fcis-28660	138	16	neural	neural	ADJ
fcis-28660	138	17	network	network	NOUN
fcis-28660	138	18	,	,	PUNCT
fcis-28660	138	19	mainly	mainly	ADV
fcis-28660	138	20	in	in	ADP
fcis-28660	138	21	order	order	NOUN
fcis-28660	138	22	to	to	PART
fcis-28660	138	23	effectively	effectively	ADV
fcis-28660	138	24	solve	solve	VERB
fcis-28660	138	25	the	the	DET
fcis-28660	138	26	defect	defect	NOUN
fcis-28660	138	27	of	of	ADP
fcis-28660	138	28	slow	slow	ADJ
fcis-28660	138	29	convergence	convergence	NOUN
fcis-28660	138	30	of	of	ADP
fcis-28660	138	31	bp	bp	PROPN
fcis-28660	138	32	neural	neural	ADJ
fcis-28660	138	33	network	network	NOUN
fcis-28660	138	34	[	[	X
fcis-28660	138	35	12	12	NUM
fcis-28660	138	36	]	]	PUNCT
fcis-28660	138	37	and	and	CCONJ
fcis-28660	138	38	easy	easy	ADJ
fcis-28660	138	39	to	to	PART
fcis-28660	138	40	confuse	confuse	VERB
fcis-28660	138	41	similar	similar	ADJ
fcis-28660	138	42	words	word	NOUN
fcis-28660	138	43	in	in	ADP
fcis-28660	138	44	hmm	hmm	NOUN
fcis-28660	138	45	.	.	PUNCT
fcis-28660	139	1	this	this	DET
fcis-28660	139	2	algorithm	algorithm	NOUN
fcis-28660	139	3	is	be	AUX
fcis-28660	139	4	implemented	implement	VERB
fcis-28660	139	5	by	by	ADP
fcis-28660	139	6	matlab	matlab	PROPN
fcis-28660	139	7	[	[	X
fcis-28660	139	8	13	13	NUM
fcis-28660	139	9	]	]	PUNCT
fcis-28660	139	10	.	.	PUNCT
fcis-28660	140	1	applying	apply	VERB
fcis-28660	140	2	hybrid	hybrid	ADJ
fcis-28660	140	3	model	model	NOUN
fcis-28660	140	4	to	to	ADP
fcis-28660	140	5	non	non	ADJ
fcis-28660	140	6	-	-	ADJ
fcis-28660	140	7	specific	specific	ADJ
fcis-28660	140	8	chinese	chinese	ADJ
fcis-28660	140	9	speech	speech	NOUN
fcis-28660	140	10	recognition	recognition	NOUN
fcis-28660	140	11	can	can	AUX
fcis-28660	140	12	effectively	effectively	ADV
fcis-28660	140	13	improve	improve	VERB
fcis-28660	140	14	the	the	DET
fcis-28660	140	15	speech	speech	NOUN
fcis-28660	140	16	recognition	recognition	NOUN
fcis-28660	140	17	rate	rate	NOUN
fcis-28660	140	18	.	.	PUNCT
fcis-28660	141	1	3.4.1	3.4.1	X
fcis-28660	141	2	.	.	PUNCT
fcis-28660	141	3	the	the	DET
fcis-28660	141	4	basic	basic	ADJ
fcis-28660	141	5	principles	principle	NOUN
fcis-28660	141	6	of	of	ADP
fcis-28660	141	7	speech	speech	NOUN
fcis-28660	141	8	recognition	recognition	NOUN
fcis-28660	141	9	a	a	DET
fcis-28660	141	10	complete	complete	ADJ
fcis-28660	141	11	speech	speech	NOUN
fcis-28660	141	12	recognition	recognition	NOUN
fcis-28660	141	13	system	system	NOUN
fcis-28660	141	14	is	be	AUX
fcis-28660	141	15	mainly	mainly	ADV
fcis-28660	141	16	composed	compose	VERB
fcis-28660	141	17	of	of	ADP
fcis-28660	141	18	five	five	NUM
fcis-28660	141	19	modules	module	NOUN
fcis-28660	141	20	,	,	PUNCT
fcis-28660	141	21	including	include	VERB
fcis-28660	141	22	speech	speech	NOUN
fcis-28660	141	23	signal	signal	NOUN
fcis-28660	141	24	preprocessing	preprocessing	NOUN
fcis-28660	141	25	,	,	PUNCT
fcis-28660	141	26	feature	feature	NOUN
fcis-28660	141	27	extraction	extraction	NOUN
fcis-28660	141	28	,	,	PUNCT
fcis-28660	141	29	reference	reference	NOUN
fcis-28660	141	30	pattern	pattern	NOUN
fcis-28660	141	31	library	library	NOUN
fcis-28660	141	32	establishment	establishment	NOUN
fcis-28660	141	33	,	,	PUNCT
fcis-28660	141	34	pattern	pattern	NOUN
fcis-28660	141	35	matching	matching	NOUN
fcis-28660	141	36	and	and	CCONJ
fcis-28660	141	37	language	language	NOUN
fcis-28660	141	38	model	model	NOUN
fcis-28660	141	39	[	[	X
fcis-28660	141	40	14	14	NUM
fcis-28660	141	41	]	]	PUNCT
fcis-28660	141	42	.	.	PUNCT
fcis-28660	142	1	in	in	ADP
fcis-28660	142	2	order	order	NOUN
fcis-28660	142	3	to	to	PART
fcis-28660	142	4	shorten	shorten	VERB
fcis-28660	142	5	the	the	DET
fcis-28660	142	6	training	training	NOUN
fcis-28660	142	7	time	time	NOUN
fcis-28660	142	8	and	and	CCONJ
fcis-28660	142	9	test	test	NOUN
fcis-28660	142	10	time	time	NOUN
fcis-28660	142	11	in	in	ADP
fcis-28660	142	12	the	the	DET
fcis-28660	142	13	process	process	NOUN
fcis-28660	142	14	of	of	ADP
fcis-28660	142	15	recognition	recognition	NOUN
fcis-28660	142	16	,	,	PUNCT
fcis-28660	142	17	the	the	DET
fcis-28660	142	18	speech	speech	NOUN
fcis-28660	142	19	feature	feature	NOUN
fcis-28660	142	20	database	database	NOUN
fcis-28660	142	21	is	be	AUX
fcis-28660	142	22	built	build	VERB
fcis-28660	142	23	to	to	PART
fcis-28660	142	24	store	store	VERB
fcis-28660	142	25	the	the	DET
fcis-28660	142	26	speech	speech	NOUN
fcis-28660	142	27	feature	feature	NOUN
fcis-28660	142	28	parameters	parameter	NOUN
fcis-28660	142	29	in	in	ADP
fcis-28660	142	30	a	a	DET
fcis-28660	142	31	unified	unified	ADJ
fcis-28660	142	32	way	way	NOUN
fcis-28660	142	33	.	.	PUNCT
fcis-28660	143	1	the	the	DET
fcis-28660	143	2	speech	speech	NOUN
fcis-28660	143	3	database	database	NOUN
fcis-28660	143	4	is	be	AUX
fcis-28660	143	5	divided	divide	VERB
fcis-28660	143	6	into	into	ADP
fcis-28660	143	7	four	four	NUM
fcis-28660	143	8	categories	category	NOUN
fcis-28660	143	9	according	accord	VERB
fcis-28660	143	10	to	to	ADP
fcis-28660	143	11	different	different	ADJ
fcis-28660	143	12	characteristic	characteristic	ADJ
fcis-28660	143	13	parameters	parameter	NOUN
fcis-28660	143	14	,	,	PUNCT
fcis-28660	143	15	as	as	SCONJ
fcis-28660	143	16	shown	show	VERB
fcis-28660	143	17	in	in	ADP
fcis-28660	143	18	table	table	NOUN
fcis-28660	143	19	table	table	NOUN
fcis-28660	143	20	1	1	NUM
fcis-28660	143	21	.	.	PUNCT
fcis-28660	143	22	speech	speech	NOUN
fcis-28660	143	23	feature	feature	NOUN
fcis-28660	143	24	database	database	NOUN
fcis-28660	143	25	file	file	NOUN
fcis-28660	143	26	instructions	instruction	NOUN
fcis-28660	143	27	phonetic	phonetic	ADJ
fcis-28660	143	28	feature	feature	NOUN
fcis-28660	143	29	mfcc	mfcc	NOUN
fcis-28660	143	30	mfcc	mfcc	NOUN
fcis-28660	143	31	characteristic	characteristic	ADJ
fcis-28660	143	32	parameter	parameter	PROPN
fcis-28660	143	33	library	library	PROPN
fcis-28660	143	34	mfcc	mfcc	NOUN
fcis-28660	143	35	features	feature	NOUN
fcis-28660	143	36	are	be	AUX
fcis-28660	143	37	stored	store	VERB
fcis-28660	143	38	in	in	ADP
fcis-28660	143	39	a	a	DET
fcis-28660	143	40	similar	similar	ADJ
fcis-28660	143	41	way	way	NOUN
fcis-28660	143	42	to	to	ADP
fcis-28660	143	43	the	the	DET
fcis-28660	143	44	above	above	NOUN
fcis-28660	143	45	,	,	PUNCT
fcis-28660	143	46	except	except	SCONJ
fcis-28660	143	47	that	that	SCONJ
fcis-28660	143	48	they	they	PRON
fcis-28660	143	49	are	be	AUX
fcis-28660	143	50	stored	store	VERB
fcis-28660	143	51	in	in	ADP
fcis-28660	143	52	the	the	DET
fcis-28660	143	53	mfcc	mfcc	NOUN
fcis-28660	143	54	folder	folder	NOUN
fcis-28660	143	55	.	.	PUNCT
fcis-28660	144	1	sinmfcc	sinmfcc	PROPN
fcis-28660	144	2	sinmfcc	sinmfcc	VERB
fcis-28660	144	3	characteristic	characteristic	ADJ
fcis-28660	144	4	parameter	parameter	NOUN
fcis-28660	144	5	library	library	NOUN
fcis-28660	144	6	the	the	DET
fcis-28660	144	7	sinmfcc	sinmfcc	NOUN
fcis-28660	144	8	functions	function	NOUN
fcis-28660	144	9	are	be	AUX
fcis-28660	144	10	stored	store	VERB
fcis-28660	144	11	in	in	ADP
fcis-28660	144	12	a	a	DET
fcis-28660	144	13	similar	similar	ADJ
fcis-28660	144	14	way	way	NOUN
fcis-28660	144	15	to	to	ADP
fcis-28660	144	16	the	the	DET
fcis-28660	144	17	above	above	NOUN
fcis-28660	144	18	except	except	SCONJ
fcis-28660	144	19	that	that	SCONJ
fcis-28660	144	20	they	they	PRON
fcis-28660	144	21	are	be	AUX
fcis-28660	144	22	stored	store	VERB
fcis-28660	144	23	outside	outside	ADP
fcis-28660	144	24	the	the	DET
fcis-28660	144	25	sinmfcc	sinmfcc	NOUN
fcis-28660	144	26	folder	folder	NOUN
fcis-28660	144	27	.	.	PUNCT
fcis-28660	145	1	chafenmfcc	chafenmfcc	PROPN
fcis-28660	145	2	chafenmfcc	chafenmfcc	PROPN
fcis-28660	145	3	characteristic	characteristic	ADJ
fcis-28660	145	4	parameter	parameter	NOUN
fcis-28660	145	5	library	library	NOUN
fcis-28660	145	6	in	in	ADP
fcis-28660	145	7	addition	addition	NOUN
fcis-28660	145	8	to	to	ADP
fcis-28660	145	9	storing	store	VERB
fcis-28660	145	10	these	these	DET
fcis-28660	145	11	functions	function	NOUN
fcis-28660	145	12	in	in	ADP
fcis-28660	145	13	the	the	DET
fcis-28660	145	14	chafenmfcc	chafenmfcc	NOUN
fcis-28660	145	15	folder	folder	NOUN
fcis-28660	145	16	,	,	PUNCT
fcis-28660	145	17	the	the	DET
fcis-28660	145	18	chafenmfcc	chafenmfcc	NOUN
fcis-28660	145	19	functions	function	NOUN
fcis-28660	145	20	are	be	AUX
fcis-28660	145	21	stored	store	VERB
fcis-28660	145	22	in	in	ADP
fcis-28660	145	23	a	a	DET
fcis-28660	145	24	similar	similar	ADJ
fcis-28660	145	25	manner	manner	NOUN
fcis-28660	145	26	as	as	ADP
fcis-28660	145	27	above	above	ADV
fcis-28660	145	28	.	.	PUNCT
fcis-28660	146	1	the	the	DET
fcis-28660	146	2	process	process	NOUN
fcis-28660	146	3	of	of	ADP
fcis-28660	146	4	establishing	establish	VERB
fcis-28660	146	5	a	a	DET
fcis-28660	146	6	voice	voice	NOUN
fcis-28660	146	7	database	database	NOUN
fcis-28660	146	8	is	be	AUX
fcis-28660	146	9	the	the	DET
fcis-28660	146	10	process	process	NOUN
fcis-28660	146	11	of	of	ADP
fcis-28660	146	12	reading	read	VERB
fcis-28660	146	13	from	from	ADP
fcis-28660	146	14	a	a	DET
fcis-28660	146	15	voice	voice	NOUN
fcis-28660	146	16	file	file	NOUN
fcis-28660	146	17	,	,	PUNCT
fcis-28660	146	18	pre	pre	ADJ
fcis-28660	146	19	-	-	ADJ
fcis-28660	146	20	accentuating	accentuating	ADJ
fcis-28660	146	21	,	,	PUNCT
fcis-28660	146	22	endpoint	endpoint	NOUN
fcis-28660	146	23	detection	detection	NOUN
fcis-28660	146	24	,	,	PUNCT
fcis-28660	146	25	framing	framing	NOUN
fcis-28660	146	26	,	,	PUNCT
fcis-28660	146	27	windowing	windowing	NOUN
fcis-28660	146	28	,	,	PUNCT
fcis-28660	146	29	feature	feature	NOUN
fcis-28660	146	30	extraction	extraction	NOUN
fcis-28660	146	31	and	and	CCONJ
fcis-28660	146	32	creating	create	VERB
fcis-28660	146	33	a	a	DET
fcis-28660	146	34	database	database	NOUN
fcis-28660	146	35	[	[	X
fcis-28660	146	36	15	15	NUM
fcis-28660	146	37	]	]	PUNCT
fcis-28660	146	38	.	.	PUNCT
fcis-28660	147	1	the	the	DET
fcis-28660	147	2	master	master	NOUN
fcis-28660	147	3	subroutine	subroutine	NOUN
fcis-28660	147	4	and	and	CCONJ
fcis-28660	147	5	its	its	PRON
fcis-28660	147	6	functions	function	NOUN
fcis-28660	147	7	are	be	AUX
fcis-28660	147	8	shown	show	VERB
fcis-28660	147	9	in	in	ADP
fcis-28660	147	10	table	table	NOUN
fcis-28660	147	11	2	2	NUM
fcis-28660	147	12	.	.	PUNCT
fcis-28660	147	13	table	table	NOUN
fcis-28660	147	14	2	2	NUM
fcis-28660	147	15	.	.	PUNCT
fcis-28660	147	16	establishment	establishment	NOUN
fcis-28660	147	17	of	of	ADP
fcis-28660	147	18	voice	voice	NOUN
fcis-28660	147	19	database	database	NOUN
fcis-28660	147	20	and	and	CCONJ
fcis-28660	147	21	main	main	ADJ
fcis-28660	147	22	subprograms	subprogram	NOUN
fcis-28660	147	23	subroutine	subroutine	ADJ
fcis-28660	147	24	name	name	NOUN
fcis-28660	147	25	or	or	CCONJ
fcis-28660	147	26	class	class	NOUN
fcis-28660	147	27	name	name	NOUN
fcis-28660	147	28	instructions	instruction	NOUN
fcis-28660	147	29	realization	realization	NOUN
fcis-28660	147	30	function	function	NOUN
fcis-28660	147	31	wavread	wavread	NOUN
fcis-28660	147	32	(	(	PUNCT
fcis-28660	147	33	)	)	PUNCT
fcis-28660	147	34	read	read	VERB
fcis-28660	147	35	program	program	NOUN
fcis-28660	147	36	take	take	VERB
fcis-28660	147	37	a	a	DET
fcis-28660	147	38	speech	speech	NOUN
fcis-28660	147	39	waveform	waveform	NOUN
fcis-28660	147	40	,	,	PUNCT
fcis-28660	147	41	turn	turn	VERB
fcis-28660	147	42	it	it	PRON
fcis-28660	147	43	into	into	ADP
fcis-28660	147	44	a	a	DET
fcis-28660	147	45	digital	digital	ADJ
fcis-28660	147	46	quantity	quantity	NOUN
fcis-28660	147	47	and	and	CCONJ
fcis-28660	147	48	save	save	VERB
fcis-28660	147	49	it	it	PRON
fcis-28660	147	50	preemphasis	preemphasis	NOUN
fcis-28660	147	51	preemphasis	preemphasis	NOUN
fcis-28660	147	52	program	program	NOUN
fcis-28660	147	53	filtering	filtering	NOUN
fcis-28660	147	54	and	and	CCONJ
fcis-28660	147	55	pre	pre	ADJ
fcis-28660	147	56	-	-	ADJ
fcis-28660	147	57	accentuating	accentuating	ADJ
fcis-28660	147	58	speech	speech	NOUN
fcis-28660	147	59	detection	detection	NOUN
fcis-28660	147	60	(	(	PUNCT
fcis-28660	147	61	)	)	PUNCT
fcis-28660	147	62	endpoint	endpoint	NOUN
fcis-28660	147	63	detector	detector	NOUN
fcis-28660	147	64	it	it	PRON
fcis-28660	147	65	is	be	AUX
fcis-28660	147	66	implemented	implement	VERB
fcis-28660	147	67	in	in	ADP
fcis-28660	147	68	two	two	NUM
fcis-28660	147	69	ways	way	NOUN
fcis-28660	147	70	:	:	PUNCT
fcis-28660	147	71	lawrence	lawrence	PROPN
fcis-28660	147	72	rabiner	rabiner	PROPN
fcis-28660	147	73	framing	framing	NOUN
fcis-28660	147	74	(	(	PUNCT
fcis-28660	147	75	)	)	PUNCT
fcis-28660	147	76	framing	frame	VERB
fcis-28660	147	77	subroutine	subroutine	NOUN
fcis-28660	147	78	the	the	DET
fcis-28660	147	79	speech	speech	NOUN
fcis-28660	147	80	signal	signal	NOUN
fcis-28660	147	81	is	be	AUX
fcis-28660	147	82	divided	divide	VERB
fcis-28660	147	83	into	into	ADP
fcis-28660	147	84	short	short	ADJ
fcis-28660	147	85	frames	frame	NOUN
fcis-28660	147	86	of	of	ADP
fcis-28660	147	87	10ms~30ms	10ms~30ms	PROPN
fcis-28660	147	88	.	.	PUNCT
fcis-28660	148	1	hamming	ham	VERB
fcis-28660	148	2	(	(	PUNCT
fcis-28660	148	3	)	)	PUNCT
fcis-28660	148	4	plus	plus	CCONJ
fcis-28660	148	5	hamming	hamming	NOUN
fcis-28660	148	6	window	window	NOUN
fcis-28660	148	7	make	make	VERB
fcis-28660	148	8	each	each	DET
fcis-28660	148	9	voice	voice	NOUN
fcis-28660	148	10	frame	frame	VERB
fcis-28660	148	11	smooth	smooth	ADJ
fcis-28660	148	12	transition	transition	NOUN
fcis-28660	148	13	dtw	dtw	NOUN
fcis-28660	148	14	(	(	PUNCT
fcis-28660	148	15	)	)	PUNCT
fcis-28660	148	16	feature	feature	NOUN
fcis-28660	148	17	vector	vector	NOUN
fcis-28660	148	18	sequence	sequence	NOUN
fcis-28660	148	19	clustering	cluster	VERB
fcis-28660	148	20	each	each	DET
fcis-28660	148	21	speech	speech	NOUN
fcis-28660	148	22	feature	feature	NOUN
fcis-28660	148	23	vector	vector	NOUN
fcis-28660	148	24	is	be	AUX
fcis-28660	148	25	merged	merge	VERB
fcis-28660	148	26	into	into	ADP
fcis-28660	148	27	the	the	DET
fcis-28660	148	28	same	same	ADJ
fcis-28660	148	29	frame	frame	NOUN
fcis-28660	148	30	,	,	PUNCT
fcis-28660	148	31	which	which	PRON
fcis-28660	148	32	is	be	AUX
fcis-28660	148	33	20	20	NUM
fcis-28660	148	34	frames	frame	NOUN
fcis-28660	148	35	in	in	ADP
fcis-28660	148	36	this	this	DET
fcis-28660	148	37	article	article	NOUN
fcis-28660	148	38	characters	character	NOUN
fcis-28660	148	39	(	(	PUNCT
fcis-28660	148	40	)	)	PUNCT
fcis-28660	148	41	feature	feature	NOUN
fcis-28660	148	42	database	database	NOUN
fcis-28660	148	43	program	program	NOUN
fcis-28660	148	44	create	create	VERB
fcis-28660	148	45	a	a	DET
fcis-28660	148	46	feature	feature	NOUN
fcis-28660	148	47	parameter	parameter	NOUN
fcis-28660	148	48	library	library	NOUN
fcis-28660	148	49	100	100	NUM
fcis-28660	148	50	3.4.2	3.4.2	NUM
fcis-28660	148	51	.	.	PUNCT
fcis-28660	149	1	hmm	hmm	INTJ
fcis-28660	149	2	and	and	CCONJ
fcis-28660	149	3	bp	bp	PROPN
fcis-28660	149	4	neural	neural	ADJ
fcis-28660	149	5	network	network	PROPN
fcis-28660	149	6	hybrid	hybrid	NOUN
fcis-28660	149	7	model	model	NOUN
fcis-28660	149	8	aiming	aim	VERB
fcis-28660	149	9	at	at	ADP
fcis-28660	149	10	the	the	DET
fcis-28660	149	11	shortcomings	shortcoming	NOUN
fcis-28660	149	12	of	of	ADP
fcis-28660	149	13	a	a	DET
fcis-28660	149	14	single	single	ADJ
fcis-28660	149	15	bp	bp	PROPN
fcis-28660	149	16	neural	neural	ADJ
fcis-28660	149	17	network	network	NOUN
fcis-28660	149	18	,	,	PUNCT
fcis-28660	149	19	this	this	DET
fcis-28660	149	20	paper	paper	NOUN
fcis-28660	149	21	combines	combine	VERB
fcis-28660	149	22	hmm	hmm	INTJ
fcis-28660	149	23	and	and	CCONJ
fcis-28660	149	24	bp	bp	PROPN
fcis-28660	149	25	neural	neural	ADJ
fcis-28660	149	26	network	network	NOUN
fcis-28660	149	27	[	[	X
fcis-28660	149	28	16~18	16~18	NUM
fcis-28660	149	29	]	]	X
fcis-28660	149	30	to	to	PART
fcis-28660	149	31	make	make	VERB
fcis-28660	149	32	good	good	ADJ
fcis-28660	149	33	use	use	NOUN
fcis-28660	149	34	of	of	ADP
fcis-28660	149	35	their	their	PRON
fcis-28660	149	36	respective	respective	ADJ
fcis-28660	149	37	advantages	advantage	NOUN
fcis-28660	149	38	in	in	ADP
fcis-28660	149	39	speech	speech	NOUN
fcis-28660	149	40	recognition	recognition	NOUN
fcis-28660	149	41	technology	technology	NOUN
fcis-28660	149	42	.	.	PUNCT
fcis-28660	150	1	for	for	ADP
fcis-28660	150	2	hmm	hmm	PROPN
fcis-28660	150	3	model	model	NOUN
fcis-28660	150	4	,	,	PUNCT
fcis-28660	150	5	it	it	PRON
fcis-28660	150	6	has	have	VERB
fcis-28660	150	7	a	a	DET
fcis-28660	150	8	high	high	ADJ
fcis-28660	150	9	dynamic	dynamic	ADJ
fcis-28660	150	10	time	time	NOUN
fcis-28660	150	11	series	series	PROPN
fcis-28660	150	12	modeling	modeling	NOUN
fcis-28660	150	13	ability	ability	NOUN
fcis-28660	150	14	,	,	PUNCT
fcis-28660	150	15	so	so	SCONJ
fcis-28660	150	16	it	it	PRON
fcis-28660	150	17	can	can	AUX
fcis-28660	150	18	better	well	ADV
fcis-28660	150	19	improve	improve	VERB
fcis-28660	150	20	the	the	DET
fcis-28660	150	21	speech	speech	NOUN
fcis-28660	150	22	recognition	recognition	NOUN
fcis-28660	150	23	effect	effect	NOUN
fcis-28660	150	24	.	.	PUNCT
fcis-28660	151	1	hmm	hmm	INTJ
fcis-28660	151	2	and	and	CCONJ
fcis-28660	151	3	bp	bp	PROPN
fcis-28660	151	4	neural	neural	ADJ
fcis-28660	151	5	network	network	NOUN
fcis-28660	151	6	models	model	NOUN
fcis-28660	151	7	can	can	AUX
fcis-28660	151	8	be	be	AUX
fcis-28660	151	9	combined	combine	VERB
fcis-28660	151	10	in	in	ADP
fcis-28660	151	11	a	a	DET
fcis-28660	151	12	variety	variety	NOUN
fcis-28660	151	13	of	of	ADP
fcis-28660	151	14	ways	way	NOUN
fcis-28660	151	15	,	,	PUNCT
fcis-28660	151	16	and	and	CCONJ
fcis-28660	151	17	the	the	DET
fcis-28660	151	18	current	current	ADJ
fcis-28660	151	19	application	application	NOUN
fcis-28660	151	20	is	be	AUX
fcis-28660	151	21	more	more	ADJ
fcis-28660	151	22	in	in	ADP
fcis-28660	151	23	the	the	DET
fcis-28660	151	24	combination	combination	NOUN
fcis-28660	151	25	of	of	ADP
fcis-28660	151	26	frame	frame	NOUN
fcis-28660	151	27	level	level	NOUN
fcis-28660	151	28	and	and	CCONJ
fcis-28660	151	29	speech	speech	NOUN
fcis-28660	151	30	level	level	NOUN
fcis-28660	151	31	.	.	PUNCT
fcis-28660	152	1	from	from	ADP
fcis-28660	152	2	the	the	DET
fcis-28660	152	3	review	review	NOUN
fcis-28660	152	4	of	of	ADP
fcis-28660	152	5	relevant	relevant	ADJ
fcis-28660	152	6	literature	literature	NOUN
fcis-28660	152	7	,	,	PUNCT
fcis-28660	152	8	it	it	PRON
fcis-28660	152	9	can	can	AUX
fcis-28660	152	10	be	be	AUX
fcis-28660	152	11	seen	see	VERB
fcis-28660	152	12	that	that	SCONJ
fcis-28660	152	13	frame	frame	NOUN
fcis-28660	152	14	-	-	PUNCT
fcis-28660	152	15	level	level	NOUN
fcis-28660	152	16	combination	combination	NOUN
fcis-28660	152	17	is	be	AUX
fcis-28660	152	18	more	more	ADV
fcis-28660	152	19	consistent	consistent	ADJ
fcis-28660	152	20	with	with	ADP
fcis-28660	152	21	the	the	DET
fcis-28660	152	22	structural	structural	ADJ
fcis-28660	152	23	characteristics	characteristic	NOUN
fcis-28660	152	24	of	of	ADP
fcis-28660	152	25	the	the	DET
fcis-28660	152	26	hybrid	hybrid	ADJ
fcis-28660	152	27	model	model	NOUN
fcis-28660	152	28	in	in	ADP
fcis-28660	152	29	different	different	ADJ
fcis-28660	152	30	combinations	combination	NOUN
fcis-28660	152	31	.	.	PUNCT
fcis-28660	153	1	frame	frame	NOUN
fcis-28660	153	2	-	-	PUNCT
fcis-28660	153	3	level	level	NOUN
fcis-28660	153	4	combination	combination	NOUN
fcis-28660	153	5	methods	method	NOUN
fcis-28660	153	6	are	be	AUX
fcis-28660	153	7	divided	divide	VERB
fcis-28660	153	8	into	into	ADP
fcis-28660	153	9	many	many	ADJ
fcis-28660	153	10	types	type	NOUN
fcis-28660	153	11	,	,	PUNCT
fcis-28660	153	12	and	and	CCONJ
fcis-28660	153	13	the	the	DET
fcis-28660	153	14	following	follow	VERB
fcis-28660	153	15	is	be	AUX
fcis-28660	153	16	a	a	DET
fcis-28660	153	17	brief	brief	ADJ
fcis-28660	153	18	introduction	introduction	NOUN
fcis-28660	153	19	to	to	ADP
fcis-28660	153	20	these	these	DET
fcis-28660	153	21	types	type	NOUN
fcis-28660	153	22	of	of	ADP
fcis-28660	153	23	combination	combination	NOUN
fcis-28660	153	24	methods	method	NOUN
fcis-28660	153	25	.	.	PUNCT
fcis-28660	154	1	(	(	PUNCT
fcis-28660	154	2	1	1	X
fcis-28660	154	3	)	)	PUNCT
fcis-28660	154	4	hmm	hmm	INTJ
fcis-28660	154	5	can	can	AUX
fcis-28660	154	6	preprocess	preprocess	VERB
fcis-28660	154	7	speech	speech	NOUN
fcis-28660	154	8	signals	signal	NOUN
fcis-28660	154	9	,	,	PUNCT
fcis-28660	154	10	but	but	CCONJ
fcis-28660	154	11	also	also	ADV
fcis-28660	154	12	require	require	VERB
fcis-28660	154	13	accuracy	accuracy	NOUN
fcis-28660	154	14	in	in	ADP
fcis-28660	154	15	the	the	DET
fcis-28660	154	16	input	input	NOUN
fcis-28660	154	17	vector	vector	NOUN
fcis-28660	154	18	dimension	dimension	NOUN
fcis-28660	154	19	.	.	PUNCT
fcis-28660	155	1	the	the	DET
fcis-28660	155	2	dimension	dimension	NOUN
fcis-28660	155	3	of	of	ADP
fcis-28660	155	4	speech	speech	NOUN
fcis-28660	155	5	signal	signal	NOUN
fcis-28660	155	6	is	be	AUX
fcis-28660	155	7	different	different	ADJ
fcis-28660	155	8	after	after	ADP
fcis-28660	155	9	extracting	extract	VERB
fcis-28660	155	10	feature	feature	NOUN
fcis-28660	155	11	parameters	parameter	NOUN
fcis-28660	155	12	.	.	PUNCT
fcis-28660	156	1	the	the	DET
fcis-28660	156	2	reason	reason	NOUN
fcis-28660	156	3	why	why	SCONJ
fcis-28660	156	4	we	we	PRON
fcis-28660	156	5	need	need	VERB
fcis-28660	156	6	to	to	PART
fcis-28660	156	7	adjust	adjust	VERB
fcis-28660	156	8	the	the	DET
fcis-28660	156	9	time	time	NOUN
fcis-28660	156	10	of	of	ADP
fcis-28660	156	11	the	the	DET
fcis-28660	156	12	input	input	NOUN
fcis-28660	156	13	vector	vector	NOUN
fcis-28660	156	14	is	be	AUX
fcis-28660	156	15	that	that	SCONJ
fcis-28660	156	16	the	the	DET
fcis-28660	156	17	number	number	NOUN
fcis-28660	156	18	of	of	ADP
fcis-28660	156	19	neurons	neuron	NOUN
fcis-28660	156	20	in	in	ADP
fcis-28660	156	21	the	the	DET
fcis-28660	156	22	input	input	NOUN
fcis-28660	156	23	layer	layer	NOUN
fcis-28660	156	24	is	be	AUX
fcis-28660	156	25	always	always	ADV
fcis-28660	156	26	unchanged	unchanged	ADJ
fcis-28660	156	27	,	,	PUNCT
fcis-28660	156	28	which	which	PRON
fcis-28660	156	29	ensures	ensure	VERB
fcis-28660	156	30	that	that	SCONJ
fcis-28660	156	31	the	the	DET
fcis-28660	156	32	vector	vector	NOUN
fcis-28660	156	33	dimension	dimension	NOUN
fcis-28660	156	34	in	in	ADP
fcis-28660	156	35	the	the	DET
fcis-28660	156	36	neuron	neuron	NOUN
fcis-28660	156	37	model	model	NOUN
fcis-28660	156	38	is	be	AUX
fcis-28660	156	39	the	the	DET
fcis-28660	156	40	same	same	ADJ
fcis-28660	156	41	.	.	PUNCT
fcis-28660	157	1	(	(	PUNCT
fcis-28660	157	2	2	2	X
fcis-28660	157	3	)	)	PUNCT
fcis-28660	157	4	the	the	DET
fcis-28660	157	5	observation	observation	NOUN
fcis-28660	157	6	probability	probability	NOUN
fcis-28660	157	7	of	of	ADP
fcis-28660	157	8	hmm	hmm	INTJ
fcis-28660	157	9	can	can	AUX
fcis-28660	157	10	be	be	AUX
fcis-28660	157	11	calculated	calculate	VERB
fcis-28660	157	12	by	by	ADP
fcis-28660	157	13	using	use	VERB
fcis-28660	157	14	bp	bp	PROPN
fcis-28660	157	15	neural	neural	ADJ
fcis-28660	157	16	network	network	NOUN
fcis-28660	157	17	model	model	NOUN
fcis-28660	157	18	.	.	PUNCT
fcis-28660	158	1	the	the	DET
fcis-28660	158	2	prerequisite	prerequisite	NOUN
fcis-28660	158	3	for	for	ADP
fcis-28660	158	4	applying	apply	VERB
fcis-28660	158	5	the	the	DET
fcis-28660	158	6	hmm	hmm	NOUN
fcis-28660	158	7	model	model	NOUN
fcis-28660	158	8	is	be	AUX
fcis-28660	158	9	the	the	DET
fcis-28660	158	10	assumption	assumption	NOUN
fcis-28660	158	11	that	that	SCONJ
fcis-28660	158	12	the	the	DET
fcis-28660	158	13	current	current	ADJ
fcis-28660	158	14	state	state	NOUN
fcis-28660	158	15	is	be	AUX
fcis-28660	158	16	only	only	ADV
fcis-28660	158	17	related	relate	VERB
fcis-28660	158	18	to	to	ADP
fcis-28660	158	19	the	the	DET
fcis-28660	158	20	previous	previous	ADJ
fcis-28660	158	21	state	state	NOUN
fcis-28660	158	22	,	,	PUNCT
fcis-28660	158	23	but	but	CCONJ
fcis-28660	158	24	the	the	DET
fcis-28660	158	25	actual	actual	ADJ
fcis-28660	158	26	speech	speech	NOUN
fcis-28660	158	27	signal	signal	NOUN
fcis-28660	158	28	has	have	VERB
fcis-28660	158	29	some	some	DET
fcis-28660	158	30	relationship	relationship	NOUN
fcis-28660	158	31	with	with	ADP
fcis-28660	158	32	the	the	DET
fcis-28660	158	33	preceding	precede	VERB
fcis-28660	158	34	and	and	CCONJ
fcis-28660	158	35	following	follow	VERB
fcis-28660	158	36	states	state	NOUN
fcis-28660	158	37	,	,	PUNCT
fcis-28660	158	38	so	so	SCONJ
fcis-28660	158	39	the	the	DET
fcis-28660	158	40	model	model	NOUN
fcis-28660	158	41	seems	seem	VERB
fcis-28660	158	42	to	to	PART
fcis-28660	158	43	have	have	VERB
fcis-28660	158	44	some	some	DET
fcis-28660	158	45	flaws	flaw	NOUN
fcis-28660	158	46	.	.	PUNCT
fcis-28660	159	1	using	use	VERB
fcis-28660	159	2	bp	bp	PROPN
fcis-28660	159	3	neural	neural	ADJ
fcis-28660	159	4	network	network	NOUN
fcis-28660	159	5	model	model	NOUN
fcis-28660	159	6	to	to	PART
fcis-28660	159	7	calculate	calculate	VERB
fcis-28660	159	8	the	the	DET
fcis-28660	159	9	observation	observation	NOUN
fcis-28660	159	10	probability	probability	NOUN
fcis-28660	159	11	of	of	ADP
fcis-28660	159	12	hmm	hmm	INTJ
fcis-28660	159	13	is	be	AUX
fcis-28660	159	14	a	a	DET
fcis-28660	159	15	good	good	ADJ
fcis-28660	159	16	solution	solution	NOUN
fcis-28660	159	17	at	at	ADP
fcis-28660	159	18	present	present	NOUN
fcis-28660	159	19	.	.	PUNCT
fcis-28660	160	1	in	in	ADP
fcis-28660	160	2	this	this	DET
fcis-28660	160	3	approach	approach	NOUN
fcis-28660	160	4	,	,	PUNCT
fcis-28660	160	5	hmm	hmm	INTJ
fcis-28660	160	6	is	be	AUX
fcis-28660	160	7	a	a	DET
fcis-28660	160	8	complete	complete	ADJ
fcis-28660	160	9	recognition	recognition	NOUN
fcis-28660	160	10	model	model	NOUN
fcis-28660	160	11	.	.	PUNCT
fcis-28660	161	1	only	only	ADV
fcis-28660	161	2	the	the	DET
fcis-28660	161	3	bp	bp	PROPN
fcis-28660	161	4	neural	neural	PROPN
fcis-28660	161	5	network	network	NOUN
fcis-28660	161	6	model	model	NOUN
fcis-28660	161	7	is	be	AUX
fcis-28660	161	8	used	use	VERB
fcis-28660	161	9	to	to	PART
fcis-28660	161	10	simulate	simulate	VERB
fcis-28660	161	11	the	the	DET
fcis-28660	161	12	corresponding	corresponding	ADJ
fcis-28660	161	13	probability	probability	NOUN
fcis-28660	161	14	of	of	ADP
fcis-28660	161	15	the	the	DET
fcis-28660	161	16	observed	observe	VERB
fcis-28660	161	17	value	value	NOUN
fcis-28660	161	18	series	series	NOUN
fcis-28660	161	19	in	in	ADP
fcis-28660	161	20	each	each	DET
fcis-28660	161	21	state	state	NOUN
fcis-28660	161	22	.	.	PUNCT
fcis-28660	162	1	(	(	PUNCT
fcis-28660	162	2	3	3	X
fcis-28660	162	3	)	)	PUNCT
fcis-28660	162	4	the	the	DET
fcis-28660	162	5	viterbi	viterbi	NOUN
fcis-28660	162	6	algorithm	algorithm	NOUN
fcis-28660	162	7	network	network	NOUN
fcis-28660	162	8	is	be	AUX
fcis-28660	162	9	established	establish	VERB
fcis-28660	162	10	in	in	ADP
fcis-28660	162	11	hmm	hmm	INTJ
fcis-28660	162	12	by	by	ADP
fcis-28660	162	13	using	use	VERB
fcis-28660	162	14	bp	bp	PROPN
fcis-28660	162	15	neural	neural	ADJ
fcis-28660	162	16	network	network	NOUN
fcis-28660	162	17	model	model	NOUN
fcis-28660	162	18	.	.	PUNCT
fcis-28660	163	1	this	this	DET
fcis-28660	163	2	network	network	NOUN
fcis-28660	163	3	structure	structure	NOUN
fcis-28660	163	4	can	can	AUX
fcis-28660	163	5	achieve	achieve	VERB
fcis-28660	163	6	better	well	ADJ
fcis-28660	163	7	recognition	recognition	NOUN
fcis-28660	163	8	efficiency	efficiency	NOUN
fcis-28660	163	9	and	and	CCONJ
fcis-28660	163	10	faster	fast	ADJ
fcis-28660	163	11	processing	processing	NOUN
fcis-28660	163	12	speed	speed	NOUN
fcis-28660	163	13	[	[	X
fcis-28660	163	14	19	19	NUM
fcis-28660	163	15	]	]	PUNCT
fcis-28660	163	16	.	.	PUNCT
fcis-28660	164	1	(	(	PUNCT
fcis-28660	164	2	4	4	X
fcis-28660	164	3	)	)	PUNCT
fcis-28660	164	4	the	the	DET
fcis-28660	164	5	bp	bp	PROPN
fcis-28660	164	6	neural	neural	PROPN
fcis-28660	164	7	network	network	NOUN
fcis-28660	164	8	model	model	NOUN
fcis-28660	164	9	is	be	AUX
fcis-28660	164	10	used	use	VERB
fcis-28660	164	11	as	as	ADP
fcis-28660	164	12	the	the	DET
fcis-28660	164	13	postprocessor	postprocessor	NOUN
fcis-28660	164	14	of	of	ADP
fcis-28660	164	15	hmm	hmm	NOUN
fcis-28660	164	16	,	,	PUNCT
fcis-28660	164	17	and	and	CCONJ
fcis-28660	164	18	the	the	DET
fcis-28660	164	19	output	output	NOUN
fcis-28660	164	20	value	value	NOUN
fcis-28660	164	21	of	of	ADP
fcis-28660	164	22	hmm	hmm	INTJ
fcis-28660	164	23	is	be	AUX
fcis-28660	164	24	used	use	VERB
fcis-28660	164	25	as	as	ADP
fcis-28660	164	26	the	the	DET
fcis-28660	164	27	input	input	NOUN
fcis-28660	164	28	value	value	NOUN
fcis-28660	164	29	of	of	ADP
fcis-28660	164	30	bp	bp	PROPN
fcis-28660	164	31	neural	neural	ADJ
fcis-28660	164	32	network	network	NOUN
fcis-28660	164	33	.	.	PUNCT
fcis-28660	165	1	this	this	DET
fcis-28660	165	2	method	method	NOUN
fcis-28660	165	3	also	also	ADV
fcis-28660	165	4	fully	fully	ADV
fcis-28660	165	5	embodies	embody	VERB
fcis-28660	165	6	the	the	DET
fcis-28660	165	7	time	time	NOUN
fcis-28660	165	8	series	series	NOUN
fcis-28660	165	9	processing	processing	NOUN
fcis-28660	165	10	capability	capability	NOUN
fcis-28660	165	11	of	of	ADP
fcis-28660	165	12	hmm	hmm	INTJ
fcis-28660	165	13	and	and	CCONJ
fcis-28660	165	14	the	the	DET
fcis-28660	165	15	unmapped	unmapped	ADJ
fcis-28660	165	16	classification	classification	NOUN
fcis-28660	165	17	capability	capability	NOUN
fcis-28660	165	18	of	of	ADP
fcis-28660	165	19	bp	bp	PROPN
fcis-28660	165	20	neural	neural	PROPN
fcis-28660	165	21	network	network	PROPN
fcis-28660	165	22	model	model	NOUN
fcis-28660	165	23	.	.	PUNCT
fcis-28660	166	1	4	4	X
fcis-28660	166	2	.	.	X
fcis-28660	166	3	conclusion	conclusion	NOUN
fcis-28660	166	4	this	this	DET
fcis-28660	166	5	paper	paper	NOUN
fcis-28660	166	6	mainly	mainly	ADV
fcis-28660	166	7	introduces	introduce	VERB
fcis-28660	166	8	the	the	DET
fcis-28660	166	9	calculation	calculation	NOUN
fcis-28660	166	10	method	method	NOUN
fcis-28660	166	11	of	of	ADP
fcis-28660	166	12	word2vec	word2vec	PROPN
fcis-28660	166	13	,	,	PUNCT
fcis-28660	166	14	and	and	CCONJ
fcis-28660	166	15	the	the	DET
fcis-28660	166	16	operation	operation	NOUN
fcis-28660	166	17	steps	step	NOUN
fcis-28660	166	18	of	of	ADP
fcis-28660	166	19	the	the	DET
fcis-28660	166	20	model	model	NOUN
fcis-28660	166	21	mainly	mainly	ADV
fcis-28660	166	22	include	include	VERB
fcis-28660	166	23	three	three	NUM
fcis-28660	166	24	parts	part	NOUN
fcis-28660	166	25	:	:	PUNCT
fcis-28660	166	26	the	the	DET
fcis-28660	166	27	feature	feature	NOUN
fcis-28660	166	28	acquisition	acquisition	NOUN
fcis-28660	166	29	of	of	ADP
fcis-28660	166	30	user	user	NOUN
fcis-28660	166	31	input	input	NOUN
fcis-28660	166	32	text	text	NOUN
fcis-28660	166	33	,	,	PUNCT
fcis-28660	166	34	the	the	DET
fcis-28660	166	35	feature	feature	NOUN
fcis-28660	166	36	learning	learning	NOUN
fcis-28660	166	37	of	of	ADP
fcis-28660	166	38	user	user	NOUN
fcis-28660	166	39	folk	folk	NOUN
fcis-28660	166	40	formula	formula	NOUN
fcis-28660	166	41	,	,	PUNCT
fcis-28660	166	42	and	and	CCONJ
fcis-28660	166	43	the	the	DET
fcis-28660	166	44	generation	generation	NOUN
fcis-28660	166	45	of	of	ADP
fcis-28660	166	46	recommendation	recommendation	NOUN
fcis-28660	166	47	result	result	NOUN
fcis-28660	166	48	.	.	PUNCT
fcis-28660	167	1	text	text	NOUN
fcis-28660	167	2	similarity	similarity	NOUN
fcis-28660	167	3	technique	technique	NOUN
fcis-28660	167	4	is	be	AUX
fcis-28660	167	5	used	use	VERB
fcis-28660	167	6	to	to	PART
fcis-28660	167	7	generate	generate	VERB
fcis-28660	167	8	recommendation	recommendation	NOUN
fcis-28660	167	9	results	result	NOUN
fcis-28660	167	10	.	.	PUNCT
fcis-28660	168	1	when	when	SCONJ
fcis-28660	168	2	users	user	NOUN
fcis-28660	168	3	do	do	AUX
fcis-28660	168	4	not	not	PART
fcis-28660	168	5	know	know	VERB
fcis-28660	168	6	how	how	SCONJ
fcis-28660	168	7	to	to	PART
fcis-28660	168	8	express	express	VERB
fcis-28660	168	9	drugs	drug	NOUN
fcis-28660	168	10	and	and	CCONJ
fcis-28660	168	11	do	do	AUX
fcis-28660	168	12	not	not	PART
fcis-28660	168	13	know	know	VERB
fcis-28660	168	14	the	the	DET
fcis-28660	168	15	specific	specific	ADJ
fcis-28660	168	16	symptoms	symptom	NOUN
fcis-28660	168	17	,	,	PUNCT
fcis-28660	168	18	the	the	DET
fcis-28660	168	19	cosine	cosine	NOUN
fcis-28660	168	20	value	value	NOUN
fcis-28660	168	21	calculation	calculation	NOUN
fcis-28660	168	22	method	method	NOUN
fcis-28660	168	23	is	be	AUX
fcis-28660	168	24	introduced	introduce	VERB
fcis-28660	168	25	to	to	PART
fcis-28660	168	26	calculate	calculate	VERB
fcis-28660	168	27	the	the	DET
fcis-28660	168	28	similarity	similarity	NOUN
fcis-28660	168	29	for	for	ADP
fcis-28660	168	30	the	the	DET
fcis-28660	168	31	situation	situation	NOUN
fcis-28660	168	32	that	that	SCONJ
fcis-28660	168	33	users	user	NOUN
fcis-28660	168	34	will	will	AUX
fcis-28660	168	35	input	input	VERB
fcis-28660	168	36	unclear	unclear	ADJ
fcis-28660	168	37	semantics	semantic	NOUN
fcis-28660	168	38	and	and	CCONJ
fcis-28660	168	39	partial	partial	ADJ
fcis-28660	168	40	colloquial	colloquial	ADJ
fcis-28660	168	41	language	language	NOUN
fcis-28660	168	42	,	,	PUNCT
fcis-28660	168	43	and	and	CCONJ
fcis-28660	168	44	thus	thus	ADV
fcis-28660	168	45	the	the	DET
fcis-28660	168	46	obtained	obtain	VERB
fcis-28660	168	47	results	result	NOUN
fcis-28660	168	48	of	of	ADP
fcis-28660	168	49	recommended	recommend	VERB
fcis-28660	168	50	prescriptions	prescription	NOUN
fcis-28660	168	51	have	have	AUX
fcis-28660	168	52	been	be	AUX
fcis-28660	168	53	greatly	greatly	ADV
fcis-28660	168	54	improved	improve	VERB
fcis-28660	168	55	.	.	PUNCT
fcis-28660	169	1	finally	finally	ADV
fcis-28660	169	2	,	,	PUNCT
fcis-28660	169	3	the	the	DET
fcis-28660	169	4	combination	combination	NOUN
fcis-28660	169	5	of	of	ADP
fcis-28660	169	6	hmm	hmm	NOUN
fcis-28660	169	7	and	and	CCONJ
fcis-28660	169	8	bp	bp	PROPN
fcis-28660	169	9	neural	neural	ADJ
fcis-28660	169	10	network	network	NOUN
fcis-28660	169	11	improves	improve	VERB
fcis-28660	169	12	the	the	DET
fcis-28660	169	13	defects	defect	NOUN
fcis-28660	169	14	of	of	ADP
fcis-28660	169	15	traditional	traditional	ADJ
fcis-28660	169	16	bp	bp	PROPN
fcis-28660	169	17	neural	neural	ADJ
fcis-28660	169	18	network	network	NOUN
fcis-28660	169	19	and	and	CCONJ
fcis-28660	169	20	strengthens	strengthen	VERB
fcis-28660	169	21	the	the	DET
fcis-28660	169	22	accuracy	accuracy	NOUN
fcis-28660	169	23	of	of	ADP
fcis-28660	169	24	language	language	NOUN
fcis-28660	169	25	recognition	recognition	NOUN
fcis-28660	169	26	technology	technology	NOUN
fcis-28660	169	27	.	.	PUNCT
fcis-28660	170	1	improve	improve	VERB
fcis-28660	170	2	user	user	NOUN
fcis-28660	170	3	satisfaction	satisfaction	NOUN
fcis-28660	170	4	.	.	PUNCT
fcis-28660	171	1	references	reference	NOUN
fcis-28660	171	2	[	[	X
fcis-28660	171	3	1	1	NUM
fcis-28660	171	4	]	]	PUNCT
fcis-28660	171	5	xu	xu	PROPN
fcis-28660	172	1	kangting	kangting	PROPN
fcis-28660	172	2	,	,	PUNCT
fcis-28660	172	3	song	song	PROPN
fcis-28660	172	4	wei	wei	PROPN
fcis-28660	172	5	.	.	PUNCT
fcis-28660	173	1	chinese	chinese	ADJ
fcis-28660	173	2	text	text	NOUN
fcis-28660	173	3	sentiment	sentiment	NOUN
fcis-28660	173	4	analysis	analysis	NOUN
fcis-28660	173	5	method	method	NOUN
fcis-28660	173	6	combining	combine	VERB
fcis-28660	173	7	language	language	NOUN
fcis-28660	173	8	knowledge	knowledge	NOUN
fcis-28660	173	9	and	and	CCONJ
fcis-28660	173	10	deep	deep	ADJ
fcis-28660	173	11	learning	learning	NOUN
fcis-28660	174	1	[	[	X
fcis-28660	174	2	j	j	X
fcis-28660	174	3	]	]	X
fcis-28660	174	4	.	.	PUNCT
fcis-28660	175	1	big	big	ADJ
fcis-28660	175	2	data,2022(3	data,2022(3	PROPN
fcis-28660	175	3	)	)	PUNCT
fcis-28660	175	4	:	:	PUNCT
fcis-28660	175	5	115	115	NUM
fcis-28660	175	6	-	-	SYM
fcis-28660	175	7	127	127	NUM
fcis-28660	175	8	.	.	PUNCT
fcis-28660	176	1	[	[	X
fcis-28660	176	2	2	2	NUM
fcis-28660	176	3	]	]	X
fcis-28660	176	4	ren	ren	PROPN
fcis-28660	176	5	weijian	weijian	PROPN
fcis-28660	176	6	,	,	PUNCT
fcis-28660	176	7	xu	xu	PROPN
fcis-28660	176	8	haijie	haijie	PROPN
fcis-28660	176	9	,	,	PUNCT
fcis-28660	176	10	kang	kang	PROPN
fcis-28660	176	11	chaohai	chaohai	PROPN
fcis-28660	176	12	,	,	PUNCT
fcis-28660	176	13	huo	huo	PROPN
fcis-28660	176	14	fengcai	fengcai	NOUN
fcis-28660	176	15	,	,	PUNCT
fcis-28660	176	16	ren	ren	PROPN
fcis-28660	176	17	lu	lu	PROPN
fcis-28660	176	18	,	,	PUNCT
fcis-28660	176	19	zhang	zhang	PROPN
fcis-28660	176	20	yongfeng	yongfeng	PROPN
fcis-28660	176	21	,	,	PUNCT
fcis-28660	176	22	research	research	NOUN
fcis-28660	176	23	on	on	ADP
fcis-28660	176	24	emotion	emotion	NOUN
fcis-28660	176	25	analysis	analysis	NOUN
fcis-28660	176	26	based	base	VERB
fcis-28660	176	27	on	on	ADP
fcis-28660	176	28	word2vec	word2vec	X
fcis-28660	176	29	and	and	CCONJ
fcis-28660	176	30	attention	attention	NOUN
fcis-28660	176	31	mechanism	mechanism	NOUN
fcis-28660	176	32	[	[	X
fcis-28660	176	33	j	j	X
fcis-28660	176	34	]	]	X
fcis-28660	176	35	.	.	PUNCT
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fcis-28660	177	2	and	and	CCONJ
fcis-28660	177	3	digital	digital	PROPN
fcis-28660	177	4	engineering	engineering	NOUN
fcis-28660	177	5	,	,	PUNCT
fcis-28660	177	6	2024,(10):2991	2024,(10):2991	NUM
fcis-28660	177	7	-	-	SYM
fcis-28660	177	8	2995	2995	NUM
fcis-28660	177	9	+	+	NOUN
fcis-28660	177	10	3147	3147	NUM
fcis-28660	177	11	.	.	PUNCT
fcis-28660	178	1	[	[	X
fcis-28660	178	2	3	3	X
fcis-28660	178	3	]	]	X
fcis-28660	178	4	schwenk	schwenk	NOUN
fcis-28660	178	5	h	h	NOUN
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fcis-28660	178	7	space	space	NOUN
fcis-28660	178	8	language	language	NOUN
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fcis-28660	178	10	]	]	PUNCT
fcis-28660	178	11	.	.	PUNCT
fcis-28660	179	1	computer	computer	NOUN
fcis-28660	179	2	speech	speech	NOUN
fcis-28660	179	3	language	language	NOUN
fcis-28660	179	4	,	,	PUNCT
fcis-28660	179	5	2007	2007	NUM
fcis-28660	179	6	,	,	PUNCT
fcis-28660	179	7	21(3	21(3	NUM
fcis-28660	179	8	):	):	PUNCT
fcis-28660	179	9	492~518	492~518	NUM
fcis-28660	179	10	.	.	PUNCT
fcis-28660	180	1	[	[	X
fcis-28660	180	2	4	4	X
fcis-28660	180	3	]	]	PUNCT
fcis-28660	180	4	j.	j.	PROPN
fcis-28660	180	5	liu	liu	PROPN
fcis-28660	180	6	,	,	PUNCT
fcis-28660	180	7	e.l	e.l	PROPN
fcis-28660	180	8	.	.	PROPN
fcis-28660	180	9	chen	chen	PROPN
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fcis-28660	180	11	z.t	z.t	PROPN
fcis-28660	180	12	.	.	PUNCT
fcis-28660	181	1	he	he	PRON
fcis-28660	181	2	:	:	PUNCT
fcis-28660	181	3	journal	journal	PROPN
fcis-28660	181	4	of	of	ADP
fcis-28660	181	5	shi	shi	PROPN
fcis-28660	181	6	jia	jia	PROPN
fcis-28660	181	7	zhuang	zhuang	PROPN
fcis-28660	181	8	railway	railway	PROPN
fcis-28660	181	9	institute	institute	PROPN
fcis-28660	181	10	(	(	PUNCT
fcis-28660	181	11	natural	natural	ADJ
fcis-28660	181	12	science	science	NOUN
fcis-28660	181	13	)	)	PUNCT
fcis-28660	181	14	,	,	PUNCT
fcis-28660	181	15	vol	vol	NOUN
fcis-28660	181	16	.	.	PROPN
fcis-28660	181	17	22	22	NUM
fcis-28660	181	18	(	(	PUNCT
fcis-28660	181	19	2009	2009	NUM
fcis-28660	181	20	)	)	PUNCT
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fcis-28660	181	22	.	.	NOUN
fcis-28660	181	23	4	4	NUM
fcis-28660	181	24	,	,	PUNCT
fcis-28660	181	25	p.4042	p.4042	NOUN
fcis-28660	181	26	.	.	PUNCT
fcis-28660	182	1	[	[	X
fcis-28660	182	2	5	5	NUM
fcis-28660	182	3	]	]	X
fcis-28660	182	4	fu	fu	ADJ
fcis-28660	182	5	zefan	zefan	PROPN
fcis-28660	182	6	,	,	PUNCT
fcis-28660	182	7	yao	yao	PROPN
fcis-28660	182	8	jingfa	jingfa	PROPN
fcis-28660	182	9	,	,	PUNCT
fcis-28660	182	10	teng	teng	PROPN
fcis-28660	182	11	guifa	guifa	PROPN
fcis-28660	182	12	.	.	PUNCT
fcis-28660	183	1	research	research	NOUN
fcis-28660	183	2	on	on	ADP
fcis-28660	183	3	sensitive	sensitive	ADJ
fcis-28660	183	4	website	website	NOUN
fcis-28660	183	5	information	information	NOUN
fcis-28660	183	6	recognition	recognition	NOUN
fcis-28660	183	7	and	and	CCONJ
fcis-28660	183	8	its	its	PRON
fcis-28660	183	9	variant	variant	ADJ
fcis-28660	183	10	restoration	restoration	NOUN
fcis-28660	183	11	technology	technology	NOUN
fcis-28660	183	12	based	base	VERB
fcis-28660	183	13	on	on	ADP
fcis-28660	183	14	bert	bert	PROPN
fcis-28660	183	15	model	model	NOUN
fcis-28660	184	1	[	[	X
fcis-28660	184	2	j	j	X
fcis-28660	184	3	]	]	X
fcis-28660	184	4	.	.	PUNCT
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fcis-28660	185	2	electronic	electronic	ADJ
fcis-28660	185	3	technology	technology	NOUN
fcis-28660	185	4	,	,	PUNCT
fcis-28660	185	5	2024,(23):105	2024,(23):105	NUM
fcis-28660	185	6	-	-	SYM
fcis-28660	185	7	112	112	NUM
fcis-28660	185	8	.	.	PUNCT
fcis-28660	186	1	[	[	X
fcis-28660	186	2	6	6	NUM
fcis-28660	186	3	]	]	X
fcis-28660	186	4	liu	liu	PROPN
fcis-28660	186	5	jia	jia	PROPN
fcis-28660	186	6	,	,	PUNCT
fcis-28660	186	7	chen	chen	PROPN
fcis-28660	186	8	minshi	minshi	PROPN
fcis-28660	186	9	,	,	PUNCT
fcis-28660	186	10	xie	xie	PROPN
fcis-28660	186	11	yi	yi	PROPN
fcis-28660	186	12	,	,	PUNCT
fcis-28660	186	13	su	su	PROPN
fcis-28660	186	14	zhaoyu	zhaoyu	PROPN
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fcis-28660	186	16	wu	wu	PROPN
fcis-28660	186	17	xingyu	xingyu	PROPN
fcis-28660	186	18	.	.	PUNCT
fcis-28660	187	1	operator	operator	NOUN
fcis-28660	187	2	user	user	NOUN
fcis-28660	187	3	portrait	portrait	NOUN
fcis-28660	187	4	analysis	analysis	NOUN
fcis-28660	187	5	based	base	VERB
fcis-28660	187	6	on	on	ADP
fcis-28660	187	7	tf	tf	PROPN
fcis-28660	187	8	-	-	PUNCT
fcis-28660	187	9	idf	idf	PROPN
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fcis-28660	188	1	[	[	X
fcis-28660	188	2	j	j	X
fcis-28660	188	3	]	]	X
fcis-28660	188	4	.	.	PUNCT
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fcis-28660	189	2	engineering	engineering	NOUN
fcis-28660	189	3	technology	technology	NOUN
fcis-28660	189	4	and	and	CCONJ
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fcis-28660	189	8	-	-	SYM
fcis-28660	189	9	5	5	NUM
fcis-28660	189	10	+	+	NOUN
fcis-28660	189	11	30	30	NUM
fcis-28660	189	12	.	.	PUNCT
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fcis-28660	190	2	7	7	X
fcis-28660	190	3	]	]	X
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fcis-28660	190	6	,	,	PUNCT
fcis-28660	190	7	jin	jin	PROPN
fcis-28660	190	8	shuo	shuo	PROPN
fcis-28660	190	9	,	,	PUNCT
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fcis-28660	190	11	xia	xia	PROPN
fcis-28660	190	12	.	.	PUNCT
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fcis-28660	191	2	on	on	ADP
fcis-28660	191	3	graduate	graduate	ADJ
fcis-28660	191	4	employment	employment	NOUN
fcis-28660	191	5	recommendation	recommendation	NOUN
fcis-28660	191	6	algorithm	algorithm	NOUN
fcis-28660	191	7	based	base	VERB
fcis-28660	191	8	on	on	ADP
fcis-28660	191	9	improved	improved	ADJ
fcis-28660	191	10	tf	tf	PROPN
fcis-28660	191	11	-	-	PUNCT
fcis-28660	191	12	idf	idf	PROPN
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fcis-28660	192	1	[	[	X
fcis-28660	192	2	j	j	X
fcis-28660	192	3	]	]	X
fcis-28660	192	4	.	.	PUNCT
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fcis-28660	193	4	engineering	engineering	NOUN
fcis-28660	193	5	,	,	PUNCT
fcis-28660	193	6	2023	2023	NUM
fcis-28660	193	7	,	,	PUNCT
fcis-28660	193	8	(	(	PUNCT
fcis-28660	193	9	09):1985	09):1985	NUM
fcis-28660	193	10	-	-	SYM
fcis-28660	193	11	1989	1989	NUM
fcis-28660	193	12	+	+	NOUN
fcis-28660	193	13	2118	2118	NUM
fcis-28660	193	14	.	.	PUNCT
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fcis-28660	194	2	8	8	NUM
fcis-28660	194	3	]	]	X
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fcis-28660	194	6	,	,	PUNCT
fcis-28660	194	7	li	li	PROPN
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fcis-28660	194	9	.	.	PUNCT
fcis-28660	195	1	a	a	DET
fcis-28660	195	2	text	text	NOUN
fcis-28660	195	3	similarity	similarity	NOUN
fcis-28660	195	4	calculation	calculation	NOUN
fcis-28660	195	5	method	method	NOUN
fcis-28660	195	6	based	base	VERB
fcis-28660	195	7	on	on	ADP
fcis-28660	195	8	concept	concept	NOUN
fcis-28660	195	9	vector	vector	NOUN
fcis-28660	195	10	space	space	NOUN
fcis-28660	196	1	[	[	X
fcis-28660	196	2	j	j	X
fcis-28660	196	3	]	]	X
fcis-28660	196	4	.	.	PUNCT
fcis-28660	197	1	data	datum	NOUN
fcis-28660	197	2	analysis	analysis	NOUN
fcis-28660	197	3	and	and	CCONJ
fcis-28660	197	4	knowledge	knowledge	NOUN
fcis-28660	197	5	discovery	discovery	NOUN
fcis-28660	197	6	,	,	PUNCT
fcis-28660	197	7	2018(05	2018(05	NUM
fcis-28660	197	8	)	)	PUNCT
fcis-28660	197	9	.	.	PUNCT
fcis-28660	198	1	[	[	X
fcis-28660	198	2	9	9	NUM
fcis-28660	198	3	]	]	X
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fcis-28660	199	2	on	on	ADP
fcis-28660	199	3	personalized	personalize	VERB
fcis-28660	199	4	distributed	distribute	VERB
fcis-28660	199	5	recommendation	recommendation	NOUN
fcis-28660	199	6	system	system	NOUN
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fcis-28660	199	9	news	news	NOUN
fcis-28660	199	10	[	[	X
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fcis-28660	199	12	of	of	ADP
fcis-28660	199	13	engineering	engineering	NOUN
fcis-28660	199	14	thesis	thesis	NOUN
fcis-28660	199	15	of	of	ADP
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fcis-28660	199	23	beijing	beijing	PROPN
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fcis-28660	200	1	[	[	X
fcis-28660	200	2	10	10	NUM
fcis-28660	200	3	]	]	X
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fcis-28660	201	12	[	[	X
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fcis-28660	201	18	of	of	ADP
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fcis-28660	201	20	dissertation	dissertation	NOUN
fcis-28660	201	21	]	]	PUNCT
fcis-28660	202	1	tianjin	tianjin	PROPN
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fcis-28660	202	3	tianjin	tianjin	PROPN
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fcis-28660	203	1	[	[	X
fcis-28660	203	2	11	11	NUM
fcis-28660	203	3	]	]	X
fcis-28660	203	4	ma	ma	PROPN
fcis-28660	203	5	huifang	huifang	PROPN
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fcis-28660	203	7	jia	jia	PROPN
fcis-28660	203	8	mei	mei	PROPN
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fcis-28660	203	11	zhang	zhang	PROPN
fcis-28660	203	12	di	di	PROPN
fcis-28660	203	13	,	,	PUNCT
fcis-28660	203	14	et	et	PROPN
fcis-28660	203	15	al	al	PROPN
fcis-28660	203	16	.	.	PROPN
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fcis-28660	203	20	integrating	integrate	VERB
fcis-28660	203	21	label	label	NOUN
fcis-28660	203	22	association	association	NOUN
fcis-28660	203	23	relationship	relationship	NOUN
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fcis-28660	203	25	user	user	NOUN
fcis-28660	203	26	social	social	PROPN
fcis-28660	203	27	relationship	relationship	NOUN
fcis-28660	203	28	.	.	PUNCT
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fcis-28660	204	2	of	of	ADP
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fcis-28660	204	5	2017	2017	NUM
fcis-28660	204	6	(	(	PUNCT
fcis-28660	204	7	1	1	NUM
fcis-28660	204	8	):	):	PUNCT
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fcis-28660	204	10	.	.	PUNCT
fcis-28660	205	1	[	[	X
fcis-28660	205	2	12	12	NUM
fcis-28660	205	3	]	]	X
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fcis-28660	205	5	zhiqiang	zhiqiang	PROPN
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fcis-28660	206	7	decoding	decode	VERB
fcis-28660	206	8	technology	technology	NOUN
fcis-28660	207	1	[	[	X
fcis-28660	207	2	d	d	X
fcis-28660	207	3	]	]	X
fcis-28660	207	4	.	.	PUNCT
fcis-28660	208	1	xinjiang	xinjiang	PROPN
fcis-28660	208	2	agricultural	agricultural	PROPN
fcis-28660	208	3	university	university	PROPN
fcis-28660	208	4	,	,	PUNCT
fcis-28660	208	5	2017	2017	NUM
fcis-28660	208	6	.	.	PUNCT
fcis-28660	209	1	[	[	X
fcis-28660	209	2	13	13	NUM
fcis-28660	209	3	]	]	PUNCT
fcis-28660	209	4	wang	wang	PROPN
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fcis-28660	209	6	.	.	PUNCT
fcis-28660	210	1	research	research	NOUN
fcis-28660	210	2	on	on	ADP
fcis-28660	210	3	speech	speech	NOUN
fcis-28660	210	4	endpoint	endpoint	NOUN
fcis-28660	210	5	detection	detection	NOUN
fcis-28660	210	6	algorithm	algorithm	NOUN
fcis-28660	210	7	based	base	VERB
fcis-28660	210	8	on	on	ADP
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fcis-28660	211	2	river	river	PROPN
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fcis-28660	211	5	communication	communication	NOUN
fcis-28660	211	6	,	,	PUNCT
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fcis-28660	211	11	-	-	SYM
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fcis-28660	212	2	14	14	NUM
fcis-28660	212	3	]	]	SYM
fcis-28660	212	4	su	su	PROPN
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fcis-28660	212	6	.	.	PUNCT
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fcis-28660	213	2	on	on	ADP
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fcis-28660	214	1	[	[	X
fcis-28660	214	2	d	d	X
fcis-28660	214	3	]	]	X
fcis-28660	214	4	.	.	PUNCT
fcis-28660	215	1	xidian	xidian	PROPN
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fcis-28660	215	3	,	,	PUNCT
fcis-28660	215	4	2019	2019	NUM
fcis-28660	215	5	.	.	PUNCT
fcis-28660	216	1	[	[	X
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fcis-28660	216	5	t	t	PROPN
fcis-28660	216	6	,	,	PUNCT
fcis-28660	216	7	sutskever	sutskever	VERB
fcis-28660	216	8	i	i	PRON
fcis-28660	216	9	,	,	PUNCT
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fcis-28660	216	13	et	et	PROPN
fcis-28660	216	14	al	al	PROPN
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fcis-28660	217	2	representations	representation	NOUN
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fcis-28660	217	4	words	word	NOUN
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fcis-28660	217	7	and	and	CCONJ
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fcis-28660	218	6	,	,	PUNCT
fcis-28660	218	7	gu	gu	PROPN
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fcis-28660	218	9	,	,	PUNCT
fcis-28660	218	10	ma	ma	PROPN
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fcis-28660	218	12	,	,	PUNCT
fcis-28660	218	13	duan	duan	PROPN
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fcis-28660	219	2	use	use	NOUN
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fcis-28660	219	4	recognition	recognition	NOUN
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fcis-28660	219	6	on	on	ADP
fcis-28660	219	7	hmm	hmm	INTJ
fcis-28660	219	8	and	and	CCONJ
fcis-28660	219	9	bp	bp	PROPN
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fcis-28660	219	12	combination	combination	NOUN
fcis-28660	219	13	model	model	NOUN
fcis-28660	220	1	[	[	X
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fcis-28660	221	10	,	,	PUNCT
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fcis-28660	221	12	04):14	04):14	NUM
fcis-28660	221	13	-	-	SYM
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fcis-28660	222	1	[	[	X
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fcis-28660	223	6	system	system	NOUN
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fcis-28660	224	1	[	[	X
fcis-28660	224	2	d	d	X
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fcis-28660	224	4	.	.	PUNCT
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fcis-28660	226	8	on	on	ADP
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fcis-28660	227	1	[	[	X
fcis-28660	227	2	d	d	X
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fcis-28660	227	4	.	.	PUNCT
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fcis-28660	228	5	,	,	PUNCT
fcis-28660	228	6	2011(11	2011(11	NUM
fcis-28660	228	7	)	)	PUNCT
fcis-28660	228	8	.	.	PUNCT
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fcis-28660	229	4	yao	yao	PROPN
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fcis-28660	229	25	fusion	fusion	NOUN
fcis-28660	229	26	.	.	PUNCT
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