id	sid	tid	token	lemma	pos
fcis-13147	1	1	frontiers	frontier	NOUN
fcis-13147	1	2	in	in	ADP
fcis-13147	1	3	computing	computing	NOUN
fcis-13147	1	4	and	and	CCONJ
fcis-13147	1	5	intelligent	intelligent	ADJ
fcis-13147	1	6	systems	system	NOUN
fcis-13147	1	7	issn	issn	VERB
fcis-13147	1	8	:	:	PUNCT
fcis-13147	1	9	2832	2832	NUM
fcis-13147	1	10	-	-	SYM
fcis-13147	1	11	6024	6024	NUM
fcis-13147	1	12	|	|	NOUN
fcis-13147	1	13	vol	vol	NOUN
fcis-13147	1	14	.	.	PROPN
fcis-13147	2	1	5	5	NUM
fcis-13147	2	2	,	,	PUNCT
fcis-13147	2	3	no	no	INTJ
fcis-13147	2	4	.	.	NOUN
fcis-13147	2	5	2	2	NUM
fcis-13147	2	6	,	,	PUNCT
fcis-13147	2	7	2023	2023	NUM
fcis-13147	2	8	145	145	NUM
fcis-13147	2	9	research	research	NOUN
fcis-13147	2	10	on	on	ADP
fcis-13147	2	11	weibo	weibo	PROPN
fcis-13147	2	12	new	new	ADJ
fcis-13147	2	13	word	word	NOUN
fcis-13147	2	14	recognition	recognition	NOUN
fcis-13147	2	15	based	base	VERB
fcis-13147	2	16	on	on	ADP
fcis-13147	2	17	weibo	weibo	PROPN
fcis-13147	2	18	data	datum	NOUN
fcis-13147	2	19	and	and	CCONJ
fcis-13147	2	20	statistical	statistical	ADJ
fcis-13147	2	21	information	information	NOUN
fcis-13147	3	1	yuanfang	yuanfang	PROPN
fcis-13147	3	2	xu	xu	PROPN
fcis-13147	4	1	inner	inner	PROPN
fcis-13147	4	2	mongolia	mongolia	PROPN
fcis-13147	4	3	normal	normal	ADJ
fcis-13147	4	4	university	university	NOUN
fcis-13147	4	5	,	,	PUNCT
fcis-13147	4	6	hohhot	hohhot	PROPN
fcis-13147	4	7	,	,	PUNCT
fcis-13147	4	8	china	china	PROPN
fcis-13147	4	9	abstract	abstract	NOUN
fcis-13147	4	10	:	:	PUNCT
fcis-13147	4	11	one	one	NUM
fcis-13147	4	12	of	of	ADP
fcis-13147	4	13	the	the	DET
fcis-13147	4	14	key	key	ADJ
fcis-13147	4	15	challenges	challenge	NOUN
fcis-13147	4	16	in	in	ADP
fcis-13147	4	17	the	the	DET
fcis-13147	4	18	field	field	NOUN
fcis-13147	4	19	of	of	ADP
fcis-13147	4	20	chinese	chinese	ADJ
fcis-13147	4	21	information	information	NOUN
fcis-13147	4	22	processing	processing	NOUN
fcis-13147	4	23	is	be	AUX
fcis-13147	4	24	the	the	DET
fcis-13147	4	25	recognition	recognition	NOUN
fcis-13147	4	26	of	of	ADP
fcis-13147	4	27	weibo	weibo	ADJ
fcis-13147	4	28	new	new	ADJ
fcis-13147	4	29	words	word	NOUN
fcis-13147	4	30	,	,	PUNCT
fcis-13147	4	31	which	which	PRON
fcis-13147	4	32	has	have	VERB
fcis-13147	4	33	a	a	DET
fcis-13147	4	34	profound	profound	ADJ
fcis-13147	4	35	impact	impact	NOUN
fcis-13147	4	36	on	on	ADP
fcis-13147	4	37	machine	machine	NOUN
fcis-13147	4	38	translation	translation	NOUN
fcis-13147	4	39	and	and	CCONJ
fcis-13147	4	40	text	text	NOUN
fcis-13147	4	41	classification	classification	NOUN
fcis-13147	4	42	.	.	PUNCT
fcis-13147	5	1	as	as	SCONJ
fcis-13147	5	2	weibo	weibo	NOUN
fcis-13147	5	3	has	have	AUX
fcis-13147	5	4	become	become	VERB
fcis-13147	5	5	the	the	DET
fcis-13147	5	6	most	most	ADV
fcis-13147	5	7	used	used	ADJ
fcis-13147	5	8	social	social	ADJ
fcis-13147	5	9	platform	platform	NOUN
fcis-13147	5	10	for	for	ADP
fcis-13147	5	11	internet	internet	NOUN
fcis-13147	5	12	users	user	NOUN
fcis-13147	5	13	,	,	PUNCT
fcis-13147	5	14	mining	mine	VERB
fcis-13147	5	15	new	new	ADJ
fcis-13147	5	16	vocabulary	vocabulary	NOUN
fcis-13147	5	17	from	from	ADP
fcis-13147	5	18	weibo	weibo	PROPN
fcis-13147	5	19	data	datum	NOUN
fcis-13147	5	20	not	not	PART
fcis-13147	5	21	only	only	ADV
fcis-13147	5	22	helps	help	VERB
fcis-13147	5	23	to	to	PART
fcis-13147	5	24	deeply	deeply	ADV
fcis-13147	5	25	understand	understand	VERB
fcis-13147	5	26	the	the	DET
fcis-13147	5	27	data	datum	NOUN
fcis-13147	5	28	itself	itself	PRON
fcis-13147	5	29	,	,	PUNCT
fcis-13147	5	30	but	but	CCONJ
fcis-13147	5	31	also	also	ADV
fcis-13147	5	32	provides	provide	VERB
fcis-13147	5	33	personalized	personalized	ADJ
fcis-13147	5	34	recommendation	recommendation	NOUN
fcis-13147	5	35	services	service	NOUN
fcis-13147	5	36	for	for	ADP
fcis-13147	5	37	users	user	NOUN
fcis-13147	5	38	.	.	PUNCT
fcis-13147	6	1	although	although	SCONJ
fcis-13147	6	2	a	a	DET
fcis-13147	6	3	large	large	ADJ
fcis-13147	6	4	amount	amount	NOUN
fcis-13147	6	5	of	of	ADP
fcis-13147	6	6	research	research	NOUN
fcis-13147	6	7	has	have	AUX
fcis-13147	6	8	focused	focus	VERB
fcis-13147	6	9	on	on	ADP
fcis-13147	6	10	the	the	DET
fcis-13147	6	11	recognition	recognition	NOUN
fcis-13147	6	12	of	of	ADP
fcis-13147	6	13	weibo	weibo	PROPN
fcis-13147	6	14	new	new	ADJ
fcis-13147	6	15	words	word	NOUN
fcis-13147	6	16	,	,	PUNCT
fcis-13147	6	17	specialized	specialized	ADJ
fcis-13147	6	18	research	research	NOUN
fcis-13147	6	19	in	in	ADP
fcis-13147	6	20	this	this	DET
fcis-13147	6	21	field	field	NOUN
fcis-13147	6	22	is	be	AUX
fcis-13147	6	23	still	still	ADV
fcis-13147	6	24	scarce	scarce	ADJ
fcis-13147	6	25	.	.	PUNCT
fcis-13147	7	1	in	in	ADP
fcis-13147	7	2	this	this	DET
fcis-13147	7	3	article	article	NOUN
fcis-13147	7	4	,	,	PUNCT
fcis-13147	7	5	we	we	PRON
fcis-13147	7	6	propose	propose	VERB
fcis-13147	7	7	a	a	DET
fcis-13147	7	8	weibo	weibo	NOUN
fcis-13147	7	9	new	new	ADJ
fcis-13147	7	10	word	word	NOUN
fcis-13147	7	11	recognition	recognition	NOUN
fcis-13147	7	12	strategy	strategy	NOUN
fcis-13147	7	13	that	that	PRON
fcis-13147	7	14	combines	combine	VERB
fcis-13147	7	15	weibo	weibo	PROPN
fcis-13147	7	16	content	content	NOUN
fcis-13147	7	17	features	feature	NOUN
fcis-13147	7	18	and	and	CCONJ
fcis-13147	7	19	statistical	statistical	ADJ
fcis-13147	7	20	information	information	NOUN
fcis-13147	7	21	.	.	PUNCT
fcis-13147	8	1	firstly	firstly	ADV
fcis-13147	8	2	,	,	PUNCT
fcis-13147	8	3	extract	extract	VERB
fcis-13147	8	4	repetitive	repetitive	ADJ
fcis-13147	8	5	vocabulary	vocabulary	NOUN
fcis-13147	8	6	from	from	ADP
fcis-13147	8	7	weibo	weibo	NOUN
fcis-13147	8	8	topic	topic	NOUN
fcis-13147	8	9	names	name	NOUN
fcis-13147	8	10	,	,	PUNCT
fcis-13147	8	11	and	and	CCONJ
fcis-13147	8	12	then	then	ADV
fcis-13147	8	13	use	use	VERB
fcis-13147	8	14	various	various	ADJ
fcis-13147	8	15	methods	method	NOUN
fcis-13147	8	16	such	such	ADJ
fcis-13147	8	17	as	as	ADP
fcis-13147	8	18	absolute	absolute	ADJ
fcis-13147	8	19	frequency	frequency	NOUN
fcis-13147	8	20	,	,	PUNCT
fcis-13147	8	21	relative	relative	ADJ
fcis-13147	8	22	frequency	frequency	NOUN
fcis-13147	8	23	,	,	PUNCT
fcis-13147	8	24	mutual	mutual	ADJ
fcis-13147	8	25	information	information	NOUN
fcis-13147	8	26	,	,	PUNCT
fcis-13147	8	27	and	and	CCONJ
fcis-13147	8	28	information	information	NOUN
fcis-13147	8	29	entropy	entropy	NOUN
fcis-13147	8	30	to	to	PART
fcis-13147	8	31	filter	filter	VERB
fcis-13147	8	32	for	for	ADP
fcis-13147	8	33	incorrect	incorrect	ADJ
fcis-13147	8	34	vocabulary	vocabulary	NOUN
fcis-13147	8	35	.	.	PUNCT
fcis-13147	9	1	the	the	DET
fcis-13147	9	2	experimental	experimental	ADJ
fcis-13147	9	3	results	result	NOUN
fcis-13147	9	4	show	show	VERB
fcis-13147	9	5	that	that	SCONJ
fcis-13147	9	6	by	by	ADP
fcis-13147	9	7	setting	set	VERB
fcis-13147	9	8	appropriate	appropriate	ADJ
fcis-13147	9	9	thresholds	threshold	NOUN
fcis-13147	9	10	,	,	PUNCT
fcis-13147	9	11	incorrect	incorrect	ADJ
fcis-13147	9	12	vocabulary	vocabulary	NOUN
fcis-13147	9	13	can	can	AUX
fcis-13147	9	14	be	be	AUX
fcis-13147	9	15	effectively	effectively	ADV
fcis-13147	9	16	filtered	filter	VERB
fcis-13147	9	17	out	out	ADP
fcis-13147	9	18	,	,	PUNCT
fcis-13147	9	19	thereby	thereby	ADV
fcis-13147	9	20	improving	improve	VERB
fcis-13147	9	21	recognition	recognition	NOUN
fcis-13147	9	22	performance	performance	NOUN
fcis-13147	9	23	.	.	PUNCT
fcis-13147	10	1	keywords	keyword	NOUN
fcis-13147	10	2	:	:	PUNCT
fcis-13147	10	3	weibo	weibo	PROPN
fcis-13147	10	4	data	datum	NOUN
fcis-13147	10	5	;	;	PUNCT
fcis-13147	10	6	statistical	statistical	ADJ
fcis-13147	10	7	information	information	NOUN
fcis-13147	10	8	;	;	PUNCT
fcis-13147	10	9	mutual	mutual	ADJ
fcis-13147	10	10	information	information	NOUN
fcis-13147	10	11	;	;	PUNCT
fcis-13147	10	12	information	information	NOUN
fcis-13147	10	13	entropy	entropy	NOUN
fcis-13147	10	14	.	.	PUNCT
fcis-13147	11	1	1	1	X
fcis-13147	11	2	.	.	X
fcis-13147	11	3	introduction	introduction	NOUN
fcis-13147	11	4	with	with	ADP
fcis-13147	11	5	the	the	DET
fcis-13147	11	6	evolution	evolution	NOUN
fcis-13147	11	7	of	of	ADP
fcis-13147	11	8	language	language	NOUN
fcis-13147	11	9	and	and	CCONJ
fcis-13147	11	10	the	the	DET
fcis-13147	11	11	progress	progress	NOUN
fcis-13147	11	12	of	of	ADP
fcis-13147	11	13	the	the	DET
fcis-13147	11	14	internet	internet	NOUN
fcis-13147	11	15	,	,	PUNCT
fcis-13147	11	16	new	new	ADJ
fcis-13147	11	17	vocabulary	vocabulary	NOUN
fcis-13147	11	18	on	on	ADP
fcis-13147	11	19	weibo	weibo	PROPN
fcis-13147	11	20	continues	continue	VERB
fcis-13147	11	21	to	to	PART
fcis-13147	11	22	emerge	emerge	VERB
fcis-13147	11	23	[	[	X
fcis-13147	11	24	1	1	NUM
fcis-13147	11	25	]	]	PUNCT
fcis-13147	11	26	,	,	PUNCT
fcis-13147	11	27	providing	provide	VERB
fcis-13147	11	28	people	people	NOUN
fcis-13147	11	29	with	with	ADP
fcis-13147	11	30	more	more	ADV
fcis-13147	11	31	vivid	vivid	ADJ
fcis-13147	11	32	and	and	CCONJ
fcis-13147	11	33	rich	rich	ADJ
fcis-13147	11	34	ways	way	NOUN
fcis-13147	11	35	of	of	ADP
fcis-13147	11	36	expression	expression	NOUN
fcis-13147	11	37	.	.	PUNCT
fcis-13147	12	1	at	at	ADP
fcis-13147	12	2	the	the	DET
fcis-13147	12	3	same	same	ADJ
fcis-13147	12	4	time	time	NOUN
fcis-13147	12	5	,	,	PUNCT
fcis-13147	12	6	weibo	weibo	VERB
fcis-13147	12	7	new	new	ADJ
fcis-13147	12	8	word	word	NOUN
fcis-13147	12	9	recognition	recognition	NOUN
fcis-13147	12	10	,	,	PUNCT
fcis-13147	12	11	as	as	ADP
fcis-13147	12	12	one	one	NUM
fcis-13147	12	13	of	of	ADP
fcis-13147	12	14	the	the	DET
fcis-13147	12	15	key	key	ADJ
fcis-13147	12	16	technologies	technology	NOUN
fcis-13147	12	17	in	in	ADP
fcis-13147	12	18	chinese	chinese	ADJ
fcis-13147	12	19	information	information	NOUN
fcis-13147	12	20	processing	processing	NOUN
fcis-13147	12	21	,	,	PUNCT
fcis-13147	12	22	has	have	VERB
fcis-13147	12	23	a	a	DET
fcis-13147	12	24	direct	direct	ADJ
fcis-13147	12	25	impact	impact	NOUN
fcis-13147	12	26	on	on	ADP
fcis-13147	12	27	the	the	DET
fcis-13147	12	28	efficiency	efficiency	NOUN
fcis-13147	12	29	of	of	ADP
fcis-13147	12	30	chinese	chinese	ADJ
fcis-13147	12	31	information	information	NOUN
fcis-13147	12	32	processing	processing	NOUN
fcis-13147	12	33	.	.	PUNCT
fcis-13147	13	1	weibo	weibo	NOUN
fcis-13147	13	2	,	,	PUNCT
fcis-13147	13	3	as	as	ADP
fcis-13147	13	4	an	an	DET
fcis-13147	13	5	emerging	emerge	VERB
fcis-13147	13	6	social	social	ADJ
fcis-13147	13	7	network	network	NOUN
fcis-13147	13	8	media	medium	NOUN
fcis-13147	13	9	,	,	PUNCT
fcis-13147	13	10	has	have	AUX
fcis-13147	13	11	become	become	VERB
fcis-13147	13	12	an	an	DET
fcis-13147	13	13	important	important	ADJ
fcis-13147	13	14	component	component	NOUN
fcis-13147	13	15	of	of	ADP
fcis-13147	13	16	the	the	DET
fcis-13147	13	17	internet	internet	NOUN
fcis-13147	13	18	due	due	ADP
fcis-13147	13	19	to	to	ADP
fcis-13147	13	20	its	its	PRON
fcis-13147	13	21	diverse	diverse	ADJ
fcis-13147	13	22	user	user	NOUN
fcis-13147	13	23	base	base	NOUN
fcis-13147	13	24	,	,	PUNCT
fcis-13147	13	25	real	real	ADJ
fcis-13147	13	26	-	-	PUNCT
fcis-13147	13	27	time	time	NOUN
fcis-13147	13	28	information	information	NOUN
fcis-13147	13	29	dissemination	dissemination	NOUN
fcis-13147	13	30	,	,	PUNCT
fcis-13147	13	31	and	and	CCONJ
fcis-13147	13	32	infinite	infinite	ADJ
fcis-13147	13	33	content	content	NOUN
fcis-13147	13	34	.	.	PUNCT
fcis-13147	14	1	on	on	ADP
fcis-13147	14	2	this	this	DET
fcis-13147	14	3	platform	platform	NOUN
fcis-13147	14	4	,	,	PUNCT
fcis-13147	14	5	new	new	ADJ
fcis-13147	14	6	stories	story	NOUN
fcis-13147	14	7	and	and	CCONJ
fcis-13147	14	8	things	thing	NOUN
fcis-13147	14	9	are	be	AUX
fcis-13147	14	10	constantly	constantly	ADV
fcis-13147	14	11	emerging	emerge	VERB
fcis-13147	14	12	,	,	PUNCT
fcis-13147	14	13	and	and	CCONJ
fcis-13147	14	14	weibo	weibo	PROPN
fcis-13147	14	15	neologisms	neologism	NOUN
fcis-13147	14	16	represent	represent	VERB
fcis-13147	14	17	the	the	DET
fcis-13147	14	18	language	language	NOUN
fcis-13147	14	19	development	development	NOUN
fcis-13147	14	20	trend	trend	NOUN
fcis-13147	14	21	of	of	ADP
fcis-13147	14	22	the	the	DET
fcis-13147	14	23	internet	internet	NOUN
fcis-13147	14	24	.	.	PUNCT
fcis-13147	15	1	therefore	therefore	ADV
fcis-13147	15	2	,	,	PUNCT
fcis-13147	15	3	how	how	SCONJ
fcis-13147	15	4	to	to	PART
fcis-13147	15	5	effectively	effectively	ADV
fcis-13147	15	6	process	process	VERB
fcis-13147	15	7	and	and	CCONJ
fcis-13147	15	8	analyze	analyze	VERB
fcis-13147	15	9	weibo	weibo	NOUN
fcis-13147	15	10	information	information	NOUN
fcis-13147	15	11	has	have	AUX
fcis-13147	15	12	become	become	VERB
fcis-13147	15	13	an	an	DET
fcis-13147	15	14	urgent	urgent	ADJ
fcis-13147	15	15	problem	problem	NOUN
fcis-13147	15	16	to	to	PART
fcis-13147	15	17	be	be	AUX
fcis-13147	15	18	solved	solve	VERB
fcis-13147	15	19	[	[	X
fcis-13147	15	20	2	2	NUM
fcis-13147	15	21	]	]	PUNCT
fcis-13147	15	22	.	.	PUNCT
fcis-13147	16	1	the	the	DET
fcis-13147	16	2	information	information	NOUN
fcis-13147	16	3	processing	processing	NOUN
fcis-13147	16	4	of	of	ADP
fcis-13147	16	5	chinese	chinese	ADJ
fcis-13147	16	6	faces	face	VERB
fcis-13147	16	7	a	a	DET
fcis-13147	16	8	unique	unique	ADJ
fcis-13147	16	9	challenge	challenge	NOUN
fcis-13147	16	10	,	,	PUNCT
fcis-13147	16	11	which	which	PRON
fcis-13147	16	12	is	be	AUX
fcis-13147	16	13	the	the	DET
fcis-13147	16	14	lack	lack	NOUN
fcis-13147	16	15	of	of	ADP
fcis-13147	16	16	symbols	symbol	NOUN
fcis-13147	16	17	that	that	PRON
fcis-13147	16	18	clearly	clearly	ADV
fcis-13147	16	19	distinguish	distinguish	VERB
fcis-13147	16	20	words	word	NOUN
fcis-13147	16	21	like	like	ADP
fcis-13147	16	22	english	english	PROPN
fcis-13147	16	23	[	[	X
fcis-13147	16	24	3	3	NUM
fcis-13147	16	25	]	]	PUNCT
fcis-13147	16	26	.	.	PUNCT
fcis-13147	17	1	therefore	therefore	ADV
fcis-13147	17	2	,	,	PUNCT
fcis-13147	17	3	before	before	ADP
fcis-13147	17	4	segmenting	segment	VERB
fcis-13147	17	5	chinese	chinese	PROPN
fcis-13147	17	6	,	,	PUNCT
fcis-13147	17	7	it	it	PRON
fcis-13147	17	8	is	be	AUX
fcis-13147	17	9	necessary	necessary	ADJ
fcis-13147	17	10	to	to	PART
fcis-13147	17	11	first	first	ADV
fcis-13147	17	12	perform	perform	VERB
fcis-13147	17	13	chinese	chinese	ADJ
fcis-13147	17	14	segmentation	segmentation	NOUN
fcis-13147	17	15	.	.	PUNCT
fcis-13147	18	1	however	however	ADV
fcis-13147	18	2	,	,	PUNCT
fcis-13147	18	3	the	the	DET
fcis-13147	18	4	new	new	ADJ
fcis-13147	18	5	vocabulary	vocabulary	NOUN
fcis-13147	18	6	on	on	ADP
fcis-13147	18	7	weibo	weibo	NOUN
fcis-13147	18	8	may	may	AUX
fcis-13147	18	9	lead	lead	VERB
fcis-13147	18	10	to	to	ADP
fcis-13147	18	11	many	many	ADJ
fcis-13147	18	12	fragments	fragment	NOUN
fcis-13147	18	13	in	in	ADP
fcis-13147	18	14	the	the	DET
fcis-13147	18	15	segmentation	segmentation	NOUN
fcis-13147	18	16	results	result	NOUN
fcis-13147	18	17	,	,	PUNCT
fcis-13147	18	18	thereby	thereby	ADV
fcis-13147	18	19	affecting	affect	VERB
fcis-13147	18	20	the	the	DET
fcis-13147	18	21	accuracy	accuracy	NOUN
fcis-13147	18	22	of	of	ADP
fcis-13147	18	23	segmentation	segmentation	NOUN
fcis-13147	18	24	.	.	PUNCT
fcis-13147	19	1	a	a	DET
fcis-13147	19	2	study	study	NOUN
fcis-13147	19	3	has	have	AUX
fcis-13147	19	4	found	find	VERB
fcis-13147	19	5	that	that	SCONJ
fcis-13147	19	6	weibo	weibo	NOUN
fcis-13147	19	7	neologisms	neologism	NOUN
fcis-13147	19	8	may	may	AUX
fcis-13147	19	9	cause	cause	VERB
fcis-13147	19	10	half	half	NOUN
fcis-13147	19	11	of	of	ADP
fcis-13147	19	12	the	the	DET
fcis-13147	19	13	segmentation	segmentation	NOUN
fcis-13147	19	14	errors	error	NOUN
fcis-13147	19	15	[	[	X
fcis-13147	19	16	4	4	NUM
fcis-13147	19	17	]	]	PUNCT
fcis-13147	19	18	.	.	PUNCT
fcis-13147	20	1	if	if	SCONJ
fcis-13147	20	2	this	this	DET
fcis-13147	20	3	new	new	ADJ
fcis-13147	20	4	vocabulary	vocabulary	NOUN
fcis-13147	20	5	can	can	AUX
fcis-13147	20	6	be	be	AUX
fcis-13147	20	7	effectively	effectively	ADV
fcis-13147	20	8	recognized	recognize	VERB
fcis-13147	20	9	and	and	CCONJ
fcis-13147	20	10	processed	process	VERB
fcis-13147	20	11	,	,	PUNCT
fcis-13147	20	12	it	it	PRON
fcis-13147	20	13	will	will	AUX
fcis-13147	20	14	significantly	significantly	ADV
fcis-13147	20	15	improve	improve	VERB
fcis-13147	20	16	the	the	DET
fcis-13147	20	17	accuracy	accuracy	NOUN
fcis-13147	20	18	of	of	ADP
fcis-13147	20	19	chinese	chinese	ADJ
fcis-13147	20	20	segmentation	segmentation	NOUN
fcis-13147	20	21	and	and	CCONJ
fcis-13147	20	22	the	the	DET
fcis-13147	20	23	efficiency	efficiency	NOUN
fcis-13147	20	24	of	of	ADP
fcis-13147	20	25	chinese	chinese	ADJ
fcis-13147	20	26	information	information	NOUN
fcis-13147	20	27	processing	processing	NOUN
fcis-13147	20	28	.	.	PUNCT
fcis-13147	21	1	in	in	ADP
fcis-13147	21	2	addition	addition	NOUN
fcis-13147	21	3	,	,	PUNCT
fcis-13147	21	4	weibo	weibo	PROPN
fcis-13147	21	5	is	be	AUX
fcis-13147	21	6	the	the	DET
fcis-13147	21	7	main	main	ADJ
fcis-13147	21	8	publishing	publishing	NOUN
fcis-13147	21	9	platform	platform	NOUN
fcis-13147	21	10	and	and	CCONJ
fcis-13147	21	11	development	development	NOUN
fcis-13147	21	12	center	center	NOUN
fcis-13147	21	13	for	for	ADP
fcis-13147	21	14	many	many	ADJ
fcis-13147	21	15	online	online	ADJ
fcis-13147	21	16	events	event	NOUN
fcis-13147	21	17	.	.	PUNCT
fcis-13147	22	1	by	by	ADP
fcis-13147	22	2	identifying	identify	VERB
fcis-13147	22	3	new	new	ADJ
fcis-13147	22	4	weibo	weibo	NOUN
fcis-13147	22	5	words	word	NOUN
fcis-13147	22	6	on	on	ADP
fcis-13147	22	7	weibo	weibo	PROPN
fcis-13147	22	8	data	datum	NOUN
fcis-13147	22	9	,	,	PUNCT
fcis-13147	22	10	people	people	NOUN
fcis-13147	22	11	can	can	AUX
fcis-13147	22	12	use	use	VERB
fcis-13147	22	13	weibo	weibo	NOUN
fcis-13147	22	14	content	content	NOUN
fcis-13147	22	15	for	for	ADP
fcis-13147	22	16	natural	natural	ADJ
fcis-13147	22	17	language	language	NOUN
fcis-13147	22	18	processing	processing	NOUN
fcis-13147	22	19	research	research	NOUN
fcis-13147	22	20	such	such	ADJ
fcis-13147	22	21	as	as	ADP
fcis-13147	22	22	topic	topic	NOUN
fcis-13147	22	23	tracking	tracking	NOUN
fcis-13147	22	24	,	,	PUNCT
fcis-13147	22	25	personalized	personalized	ADJ
fcis-13147	22	26	recommendations	recommendation	NOUN
fcis-13147	22	27	,	,	PUNCT
fcis-13147	22	28	and	and	CCONJ
fcis-13147	22	29	public	public	ADJ
fcis-13147	22	30	opinion	opinion	NOUN
fcis-13147	22	31	analysis	analysis	NOUN
fcis-13147	22	32	.	.	PUNCT
fcis-13147	23	1	2	2	X
fcis-13147	23	2	.	.	X
fcis-13147	23	3	research	research	NOUN
fcis-13147	23	4	on	on	ADP
fcis-13147	23	5	weibo	weibo	PROPN
fcis-13147	23	6	new	new	ADJ
fcis-13147	23	7	word	word	NOUN
fcis-13147	23	8	recognition	recognition	NOUN
fcis-13147	23	9	based	base	VERB
fcis-13147	23	10	on	on	ADP
fcis-13147	23	11	weibo	weibo	PROPN
fcis-13147	23	12	data	datum	NOUN
fcis-13147	23	13	and	and	CCONJ
fcis-13147	23	14	statistical	statistical	ADJ
fcis-13147	23	15	information	information	NOUN
fcis-13147	23	16	2.1	2.1	NUM
fcis-13147	23	17	.	.	PUNCT
fcis-13147	24	1	candidate	candidate	NOUN
fcis-13147	24	2	string	string	NOUN
fcis-13147	24	3	extraction	extraction	NOUN
fcis-13147	24	4	this	this	DET
fcis-13147	24	5	article	article	NOUN
fcis-13147	24	6	identifies	identify	VERB
fcis-13147	24	7	new	new	ADJ
fcis-13147	24	8	weibo	weibo	NOUN
fcis-13147	24	9	words	word	NOUN
fcis-13147	24	10	from	from	ADP
fcis-13147	24	11	weibo	weibo	PROPN
fcis-13147	24	12	data	datum	NOUN
fcis-13147	24	13	.	.	PUNCT
fcis-13147	25	1	if	if	SCONJ
fcis-13147	25	2	all	all	DET
fcis-13147	25	3	weibo	weibo	NOUN
fcis-13147	25	4	data	datum	NOUN
fcis-13147	25	5	is	be	AUX
fcis-13147	25	6	processed	process	VERB
fcis-13147	25	7	,	,	PUNCT
fcis-13147	25	8	due	due	ADP
fcis-13147	25	9	to	to	ADP
fcis-13147	25	10	the	the	DET
fcis-13147	25	11	large	large	ADJ
fcis-13147	25	12	scale	scale	NOUN
fcis-13147	25	13	of	of	ADP
fcis-13147	25	14	weibo	weibo	NOUN
fcis-13147	25	15	corpus	corpus	NOUN
fcis-13147	25	16	and	and	CCONJ
fcis-13147	25	17	the	the	DET
fcis-13147	25	18	colloquial	colloquial	ADJ
fcis-13147	25	19	nature	nature	NOUN
fcis-13147	25	20	of	of	ADP
fcis-13147	25	21	weibo	weibo	PROPN
fcis-13147	25	22	content	content	NOUN
fcis-13147	25	23	itself	itself	PRON
fcis-13147	25	24	,	,	PUNCT
fcis-13147	25	25	it	it	PRON
fcis-13147	25	26	will	will	AUX
fcis-13147	25	27	introduce	introduce	VERB
fcis-13147	25	28	a	a	DET
fcis-13147	25	29	lot	lot	NOUN
fcis-13147	25	30	of	of	ADP
fcis-13147	25	31	garbage	garbage	NOUN
fcis-13147	25	32	strings	string	NOUN
fcis-13147	25	33	and	and	CCONJ
fcis-13147	25	34	the	the	DET
fcis-13147	25	35	processing	processing	NOUN
fcis-13147	25	36	time	time	NOUN
fcis-13147	25	37	will	will	AUX
fcis-13147	25	38	be	be	AUX
fcis-13147	25	39	long	long	ADJ
fcis-13147	25	40	,	,	PUNCT
fcis-13147	25	41	affecting	affect	VERB
fcis-13147	25	42	recognition	recognition	NOUN
fcis-13147	25	43	performance	performance	NOUN
fcis-13147	25	44	and	and	CCONJ
fcis-13147	25	45	efficiency	efficiency	NOUN
fcis-13147	25	46	.	.	PUNCT
fcis-13147	26	1	to	to	PART
fcis-13147	26	2	ensure	ensure	VERB
fcis-13147	26	3	the	the	DET
fcis-13147	26	4	enhanced	enhanced	ADJ
fcis-13147	26	5	applicability	applicability	NOUN
fcis-13147	26	6	of	of	ADP
fcis-13147	26	7	this	this	DET
fcis-13147	26	8	method	method	NOUN
fcis-13147	26	9	,	,	PUNCT
fcis-13147	26	10	this	this	DET
fcis-13147	26	11	article	article	NOUN
fcis-13147	26	12	will	will	AUX
fcis-13147	26	13	conduct	conduct	VERB
fcis-13147	26	14	experiments	experiment	NOUN
fcis-13147	26	15	on	on	ADP
fcis-13147	26	16	a	a	DET
fcis-13147	26	17	small	small	ADJ
fcis-13147	26	18	and	and	CCONJ
fcis-13147	26	19	complete	complete	ADJ
fcis-13147	26	20	dataset	dataset	NOUN
fcis-13147	26	21	as	as	ADV
fcis-13147	26	22	much	much	ADV
fcis-13147	26	23	as	as	ADP
fcis-13147	26	24	possible	possible	ADJ
fcis-13147	26	25	.	.	PUNCT
fcis-13147	27	1	after	after	ADP
fcis-13147	27	2	in	in	ADP
fcis-13147	27	3	-	-	PUNCT
fcis-13147	27	4	depth	depth	NOUN
fcis-13147	27	5	research	research	NOUN
fcis-13147	27	6	on	on	ADP
fcis-13147	27	7	sina	sina	PROPN
fcis-13147	27	8	weibo	weibo	PROPN
fcis-13147	27	9	data	data	PROPN
fcis-13147	27	10	,	,	PUNCT
fcis-13147	27	11	we	we	PRON
fcis-13147	27	12	found	find	VERB
fcis-13147	27	13	significant	significant	ADJ
fcis-13147	27	14	differences	difference	NOUN
fcis-13147	27	15	between	between	ADP
fcis-13147	27	16	weibo	weibo	NOUN
fcis-13147	27	17	and	and	CCONJ
fcis-13147	27	18	other	other	ADJ
fcis-13147	27	19	data	datum	NOUN
fcis-13147	27	20	sources	source	NOUN
fcis-13147	27	21	such	such	ADJ
fcis-13147	27	22	as	as	ADP
fcis-13147	27	23	forums	forum	NOUN
fcis-13147	27	24	,	,	PUNCT
fcis-13147	27	25	blogs	blog	NOUN
fcis-13147	27	26	,	,	PUNCT
fcis-13147	27	27	and	and	CCONJ
fcis-13147	27	28	news	news	NOUN
fcis-13147	27	29	corpora	corpus	NOUN
fcis-13147	27	30	:	:	PUNCT
fcis-13147	27	31	many	many	ADJ
fcis-13147	27	32	weibo	weibo	NOUN
fcis-13147	27	33	not	not	PART
fcis-13147	27	34	only	only	ADV
fcis-13147	27	35	contain	contain	VERB
fcis-13147	27	36	the	the	DET
fcis-13147	27	37	main	main	ADJ
fcis-13147	27	38	text	text	NOUN
fcis-13147	27	39	,	,	PUNCT
fcis-13147	27	40	but	but	CCONJ
fcis-13147	27	41	also	also	ADV
fcis-13147	27	42	come	come	VERB
fcis-13147	27	43	with	with	ADP
fcis-13147	27	44	a	a	DET
fcis-13147	27	45	theme	theme	NOUN
fcis-13147	27	46	tag	tag	NOUN
fcis-13147	27	47	created	create	VERB
fcis-13147	27	48	by	by	ADP
fcis-13147	27	49	users	user	NOUN
fcis-13147	27	50	.	.	PUNCT
fcis-13147	28	1	this	this	DET
fcis-13147	28	2	phenomenon	phenomenon	NOUN
fcis-13147	28	3	is	be	AUX
fcis-13147	28	4	more	more	ADV
fcis-13147	28	5	common	common	ADJ
fcis-13147	28	6	in	in	ADP
fcis-13147	28	7	content	content	NOUN
fcis-13147	28	8	published	publish	VERB
fcis-13147	28	9	by	by	ADP
fcis-13147	28	10	authenticated	authenticate	VERB
fcis-13147	28	11	users	user	NOUN
fcis-13147	28	12	and	and	CCONJ
fcis-13147	28	13	institutions	institution	NOUN
fcis-13147	28	14	,	,	PUNCT
fcis-13147	28	15	as	as	ADV
fcis-13147	28	16	well	well	ADV
fcis-13147	28	17	as	as	ADP
fcis-13147	28	18	in	in	ADP
fcis-13147	28	19	long	long	ADJ
fcis-13147	28	20	and	and	CCONJ
fcis-13147	28	21	semantically	semantically	ADV
fcis-13147	28	22	valuable	valuable	ADJ
fcis-13147	28	23	weibo	weibo	NOUN
fcis-13147	28	24	accounts	account	NOUN
fcis-13147	28	25	.	.	PUNCT
fcis-13147	29	1	these	these	DET
fcis-13147	29	2	theme	theme	NOUN
fcis-13147	29	3	tags	tag	NOUN
fcis-13147	29	4	are	be	AUX
fcis-13147	29	5	considered	consider	VERB
fcis-13147	29	6	part	part	NOUN
fcis-13147	29	7	of	of	ADP
fcis-13147	29	8	weibo	weibo	NOUN
fcis-13147	29	9	and	and	CCONJ
fcis-13147	29	10	are	be	AUX
fcis-13147	29	11	usually	usually	ADV
fcis-13147	29	12	labeled	label	VERB
fcis-13147	29	13	in	in	ADP
fcis-13147	29	14	the	the	DET
fcis-13147	29	15	form	form	NOUN
fcis-13147	29	16	of	of	ADP
fcis-13147	29	17	"	"	PUNCT
fcis-13147	29	18	#	#	NOUN
fcis-13147	29	19	"	"	PUNCT
fcis-13147	29	20	or	or	CCONJ
fcis-13147	29	21	"	"	PUNCT
fcis-13147	29	22	[	[	X
fcis-13147	29	23	]	]	X
fcis-13147	29	24	"	"	PUNCT
fcis-13147	29	25	.	.	PUNCT
fcis-13147	30	1	our	our	PRON
fcis-13147	30	2	statistical	statistical	ADJ
fcis-13147	30	3	data	datum	NOUN
fcis-13147	30	4	shows	show	VERB
fcis-13147	30	5	that	that	SCONJ
fcis-13147	30	6	weibo	weibo	NOUN
fcis-13147	30	7	with	with	ADP
fcis-13147	30	8	self	self	NOUN
fcis-13147	30	9	-	-	PUNCT
fcis-13147	30	10	defined	define	VERB
fcis-13147	30	11	topic	topic	NOUN
fcis-13147	30	12	tags	tag	NOUN
fcis-13147	30	13	accounts	account	VERB
fcis-13147	30	14	for	for	ADP
fcis-13147	30	15	40	40	NUM
fcis-13147	30	16	%	%	NOUN
fcis-13147	30	17	,	,	PUNCT
fcis-13147	30	18	while	while	SCONJ
fcis-13147	30	19	among	among	ADP
fcis-13147	30	20	weibo	weibo	NOUN
fcis-13147	30	21	without	without	ADP
fcis-13147	30	22	such	such	ADJ
fcis-13147	30	23	tags	tag	NOUN
fcis-13147	30	24	,	,	PUNCT
fcis-13147	30	25	80	80	NUM
fcis-13147	30	26	%	%	NOUN
fcis-13147	30	27	of	of	ADP
fcis-13147	30	28	weibo	weibo	NOUN
fcis-13147	30	29	content	content	NOUN
fcis-13147	30	30	is	be	AUX
fcis-13147	30	31	less	less	ADJ
fcis-13147	30	32	than	than	ADP
fcis-13147	30	33	10	10	NUM
fcis-13147	30	34	words	word	NOUN
fcis-13147	30	35	in	in	ADP
fcis-13147	30	36	length	length	NOUN
fcis-13147	30	37	.	.	PUNCT
fcis-13147	31	1	this	this	PRON
fcis-13147	31	2	indicates	indicate	VERB
fcis-13147	31	3	that	that	SCONJ
fcis-13147	31	4	the	the	DET
fcis-13147	31	5	semantic	semantic	ADJ
fcis-13147	31	6	value	value	NOUN
fcis-13147	31	7	of	of	ADP
fcis-13147	31	8	weibo	weibo	NOUN
fcis-13147	31	9	partially	partially	ADV
fcis-13147	31	10	depends	depend	VERB
fcis-13147	31	11	on	on	ADP
fcis-13147	31	12	the	the	DET
fcis-13147	31	13	topic	topic	NOUN
fcis-13147	31	14	tags	tag	NOUN
fcis-13147	31	15	it	it	PRON
fcis-13147	31	16	contains	contain	VERB
fcis-13147	31	17	,	,	PUNCT
fcis-13147	31	18	and	and	CCONJ
fcis-13147	31	19	the	the	DET
fcis-13147	31	20	use	use	NOUN
fcis-13147	31	21	of	of	ADP
fcis-13147	31	22	topic	topic	NOUN
fcis-13147	31	23	tags	tag	NOUN
fcis-13147	31	24	is	be	AUX
fcis-13147	31	25	a	a	DET
fcis-13147	31	26	common	common	ADJ
fcis-13147	31	27	practice	practice	NOUN
fcis-13147	31	28	in	in	ADP
fcis-13147	31	29	weibo	weibo	NOUN
fcis-13147	31	30	with	with	ADP
fcis-13147	31	31	semantic	semantic	ADJ
fcis-13147	31	32	value	value	NOUN
fcis-13147	31	33	.	.	PUNCT
fcis-13147	32	1	by	by	ADP
fcis-13147	32	2	analyzing	analyze	VERB
fcis-13147	32	3	the	the	DET
fcis-13147	32	4	theme	theme	NOUN
fcis-13147	32	5	tags	tag	NOUN
fcis-13147	32	6	selected	select	VERB
fcis-13147	32	7	by	by	ADP
fcis-13147	32	8	users	user	NOUN
fcis-13147	32	9	,	,	PUNCT
fcis-13147	32	10	we	we	PRON
fcis-13147	32	11	can	can	AUX
fcis-13147	32	12	quickly	quickly	ADV
fcis-13147	32	13	gain	gain	VERB
fcis-13147	32	14	insight	insight	NOUN
fcis-13147	32	15	into	into	ADP
fcis-13147	32	16	the	the	DET
fcis-13147	32	17	core	core	ADJ
fcis-13147	32	18	topics	topic	NOUN
fcis-13147	32	19	or	or	CCONJ
fcis-13147	32	20	themes	theme	NOUN
fcis-13147	32	21	involved	involve	VERB
fcis-13147	32	22	in	in	ADP
fcis-13147	32	23	the	the	DET
fcis-13147	32	24	weibo	weibo	NOUN
fcis-13147	32	25	.	.	PUNCT
fcis-13147	33	1	usually	usually	ADV
fcis-13147	33	2	,	,	PUNCT
fcis-13147	33	3	these	these	DET
fcis-13147	33	4	topic	topic	NOUN
fcis-13147	33	5	tags	tag	NOUN
fcis-13147	33	6	contain	contain	VERB
fcis-13147	33	7	the	the	DET
fcis-13147	33	8	key	key	ADJ
fcis-13147	33	9	vocabulary	vocabulary	NOUN
fcis-13147	33	10	of	of	ADP
fcis-13147	33	11	weibo	weibo	NOUN
fcis-13147	33	12	articles	article	NOUN
fcis-13147	33	13	,	,	PUNCT
fcis-13147	33	14	and	and	CCONJ
fcis-13147	33	15	the	the	DET
fcis-13147	33	16	new	new	ADJ
fcis-13147	33	17	vocabulary	vocabulary	NOUN
fcis-13147	33	18	of	of	ADP
fcis-13147	33	19	weibo	weibo	NOUN
fcis-13147	33	20	is	be	AUX
fcis-13147	33	21	often	often	ADV
fcis-13147	33	22	also	also	ADV
fcis-13147	33	23	a	a	DET
fcis-13147	33	24	part	part	NOUN
fcis-13147	33	25	of	of	ADP
fcis-13147	33	26	the	the	DET
fcis-13147	33	27	keywords	keyword	NOUN
fcis-13147	33	28	.	.	PUNCT
fcis-13147	34	1	therefore	therefore	ADV
fcis-13147	34	2	,	,	PUNCT
fcis-13147	34	3	we	we	PRON
fcis-13147	34	4	found	find	VERB
fcis-13147	34	5	that	that	SCONJ
fcis-13147	34	6	if	if	SCONJ
fcis-13147	34	7	we	we	PRON
fcis-13147	34	8	only	only	ADV
fcis-13147	34	9	process	process	VERB
fcis-13147	34	10	topic	topic	NOUN
fcis-13147	34	11	tags	tag	NOUN
fcis-13147	34	12	instead	instead	ADV
fcis-13147	34	13	of	of	ADP
fcis-13147	34	14	full	full	ADJ
fcis-13147	34	15	-	-	PUNCT
fcis-13147	34	16	text	text	NOUN
fcis-13147	34	17	processing	processing	NOUN
fcis-13147	34	18	all	all	PRON
fcis-13147	34	19	corpora	corpus	NOUN
fcis-13147	34	20	,	,	PUNCT
fcis-13147	34	21	the	the	DET
fcis-13147	34	22	recognition	recognition	NOUN
fcis-13147	34	23	effect	effect	NOUN
fcis-13147	34	24	of	of	ADP
fcis-13147	34	25	new	new	ADJ
fcis-13147	34	26	vocabulary	vocabulary	NOUN
fcis-13147	34	27	on	on	ADP
fcis-13147	34	28	weibo	weibo	NOUN
fcis-13147	34	29	will	will	AUX
fcis-13147	34	30	be	be	AUX
fcis-13147	34	31	better	well	ADJ
fcis-13147	34	32	,	,	PUNCT
fcis-13147	34	33	while	while	SCONJ
fcis-13147	34	34	also	also	ADV
fcis-13147	34	35	improving	improve	VERB
fcis-13147	34	36	efficiency	efficiency	NOUN
fcis-13147	34	37	and	and	CCONJ
fcis-13147	34	38	reducing	reduce	VERB
fcis-13147	34	39	the	the	DET
fcis-13147	34	40	probability	probability	NOUN
fcis-13147	34	41	of	of	ADP
fcis-13147	34	42	meaningless	meaningless	ADJ
fcis-13147	34	43	strings	string	NOUN
fcis-13147	34	44	,	,	PUNCT
fcis-13147	34	45	thereby	thereby	ADV
fcis-13147	34	46	reducing	reduce	VERB
fcis-13147	34	47	the	the	DET
fcis-13147	34	48	burden	burden	NOUN
fcis-13147	34	49	of	of	ADP
fcis-13147	34	50	subsequent	subsequent	ADJ
fcis-13147	34	51	screening	screening	NOUN
fcis-13147	34	52	work	work	NOUN
fcis-13147	34	53	.	.	PUNCT
fcis-13147	35	1	2.2	2.2	NUM
fcis-13147	35	2	.	.	PUNCT
fcis-13147	35	3	string	string	NOUN
fcis-13147	35	4	extraction	extraction	NOUN
fcis-13147	35	5	this	this	DET
fcis-13147	35	6	article	article	NOUN
fcis-13147	35	7	adopts	adopt	VERB
fcis-13147	35	8	the	the	DET
fcis-13147	35	9	most	most	ADV
fcis-13147	35	10	used	use	VERB
fcis-13147	35	11	method	method	NOUN
fcis-13147	35	12	for	for	ADP
fcis-13147	35	13	extracting	extract	VERB
fcis-13147	35	14	candidate	candidate	NOUN
fcis-13147	35	15	strings	string	NOUN
fcis-13147	35	16	,	,	PUNCT
fcis-13147	35	17	namely	namely	ADV
fcis-13147	35	18	the	the	DET
fcis-13147	35	19	meta	meta	ADJ
fcis-13147	35	20	incremental	incremental	ADJ
fcis-13147	35	21	model	model	NOUN
fcis-13147	36	1	[	[	X
fcis-13147	36	2	5	5	NUM
fcis-13147	36	3	]	]	PUNCT
fcis-13147	36	4	.	.	PUNCT
fcis-13147	37	1	considering	consider	VERB
fcis-13147	37	2	that	that	SCONJ
fcis-13147	37	3	topic	topic	NOUN
fcis-13147	37	4	names	name	NOUN
fcis-13147	37	5	are	be	AUX
fcis-13147	37	6	generally	generally	ADV
fcis-13147	37	7	not	not	PART
fcis-13147	37	8	too	too	ADV
fcis-13147	37	9	long	long	ADJ
fcis-13147	37	10	,	,	PUNCT
fcis-13147	37	11	the	the	DET
fcis-13147	37	12	maximum	maximum	ADJ
fcis-13147	37	13	value	value	NOUN
fcis-13147	37	14	of	of	ADP
fcis-13147	37	15	n	n	NUM
fcis-13147	37	16	is	be	AUX
fcis-13147	37	17	6	6	NUM
fcis-13147	37	18	,	,	PUNCT
fcis-13147	37	19	which	which	PRON
fcis-13147	37	20	means	mean	VERB
fcis-13147	37	21	extracting	extract	VERB
fcis-13147	37	22	consecutive	consecutive	ADJ
fcis-13147	37	23	strings	string	NOUN
fcis-13147	37	24	of	of	ADP
fcis-13147	37	25	length	length	NOUN
fcis-13147	37	26	not	not	PART
fcis-13147	37	27	exceeding	exceed	VERB
fcis-13147	37	28	from	from	ADP
fcis-13147	37	29	topic	topic	NOUN
fcis-13147	37	30	names	name	NOUN
fcis-13147	37	31	as	as	ADP
fcis-13147	37	32	candidate	candidate	NOUN
fcis-13147	37	33	weibo	weibo	NOUN
fcis-13147	37	34	new	new	ADJ
fcis-13147	37	35	word	word	NOUN
fcis-13147	37	36	strings	string	NOUN
fcis-13147	37	37	.	.	PUNCT
fcis-13147	38	1	additionally	additionally	ADV
fcis-13147	38	2	,	,	PUNCT
fcis-13147	38	3	it	it	PRON
fcis-13147	38	4	should	should	AUX
fcis-13147	38	5	146	146	NUM
fcis-13147	38	6	be	be	AUX
fcis-13147	38	7	noted	note	VERB
fcis-13147	38	8	that	that	SCONJ
fcis-13147	38	9	the	the	DET
fcis-13147	38	10	topic	topic	NOUN
fcis-13147	38	11	name	name	NOUN
fcis-13147	38	12	may	may	AUX
fcis-13147	38	13	not	not	PART
fcis-13147	38	14	be	be	AUX
fcis-13147	38	15	a	a	DET
fcis-13147	38	16	phrase	phrase	NOUN
fcis-13147	38	17	,	,	PUNCT
fcis-13147	38	18	but	but	CCONJ
fcis-13147	38	19	rather	rather	ADV
fcis-13147	38	20	a	a	DET
fcis-13147	38	21	sentence	sentence	NOUN
fcis-13147	38	22	containing	contain	VERB
fcis-13147	38	23	spaces	space	NOUN
fcis-13147	38	24	and	and	CCONJ
fcis-13147	38	25	punctuation	punctuation	NOUN
fcis-13147	38	26	.	.	PUNCT
fcis-13147	39	1	in	in	ADP
fcis-13147	39	2	this	this	DET
fcis-13147	39	3	case	case	NOUN
fcis-13147	39	4	,	,	PUNCT
fcis-13147	39	5	the	the	DET
fcis-13147	39	6	topic	topic	NOUN
fcis-13147	39	7	name	name	NOUN
fcis-13147	39	8	needs	need	VERB
fcis-13147	39	9	to	to	PART
fcis-13147	39	10	be	be	AUX
fcis-13147	39	11	segmented	segment	VERB
fcis-13147	39	12	based	base	VERB
fcis-13147	39	13	on	on	ADP
fcis-13147	39	14	these	these	DET
fcis-13147	39	15	punctuation	punctuation	NOUN
fcis-13147	39	16	marks	mark	NOUN
fcis-13147	39	17	,	,	PUNCT
fcis-13147	39	18	and	and	CCONJ
fcis-13147	39	19	candidate	candidate	NOUN
fcis-13147	39	20	strings	string	NOUN
fcis-13147	39	21	need	need	VERB
fcis-13147	39	22	to	to	PART
fcis-13147	39	23	be	be	AUX
fcis-13147	39	24	extracted	extract	VERB
fcis-13147	39	25	from	from	ADP
fcis-13147	39	26	the	the	DET
fcis-13147	39	27	obtained	obtain	VERB
fcis-13147	39	28	substrings	substring	NOUN
fcis-13147	39	29	.	.	PUNCT
fcis-13147	40	1	2.3	2.3	NUM
fcis-13147	40	2	.	.	PUNCT
fcis-13147	41	1	candidate	candidate	NOUN
fcis-13147	41	2	string	string	NOUN
fcis-13147	41	3	filtering	filtering	NOUN
fcis-13147	41	4	using	use	VERB
fcis-13147	41	5	the	the	DET
fcis-13147	41	6	n	n	CCONJ
fcis-13147	41	7	-	-	PUNCT
fcis-13147	41	8	ary	ary	PROPN
fcis-13147	41	9	incremental	incremental	ADJ
fcis-13147	41	10	model	model	NOUN
fcis-13147	41	11	may	may	AUX
fcis-13147	41	12	generate	generate	VERB
fcis-13147	41	13	a	a	DET
fcis-13147	41	14	large	large	ADJ
fcis-13147	41	15	number	number	NOUN
fcis-13147	41	16	of	of	ADP
fcis-13147	41	17	strings	string	NOUN
fcis-13147	41	18	,	,	PUNCT
fcis-13147	41	19	but	but	CCONJ
fcis-13147	41	20	most	most	ADJ
fcis-13147	41	21	of	of	ADP
fcis-13147	41	22	these	these	DET
fcis-13147	41	23	strings	string	NOUN
fcis-13147	41	24	are	be	AUX
fcis-13147	41	25	not	not	PART
fcis-13147	41	26	new	new	ADJ
fcis-13147	41	27	vocabulary	vocabulary	NOUN
fcis-13147	41	28	for	for	ADP
fcis-13147	41	29	weibo	weibo	NOUN
fcis-13147	41	30	,	,	PUNCT
fcis-13147	41	31	so	so	SCONJ
fcis-13147	41	32	they	they	PRON
fcis-13147	41	33	can	can	AUX
fcis-13147	41	34	be	be	AUX
fcis-13147	41	35	considered	consider	VERB
fcis-13147	41	36	useless	useless	ADJ
fcis-13147	41	37	strings	string	NOUN
fcis-13147	41	38	and	and	CCONJ
fcis-13147	41	39	effective	effective	ADJ
fcis-13147	41	40	filtering	filtering	NOUN
fcis-13147	41	41	strategies	strategy	NOUN
fcis-13147	41	42	need	need	VERB
fcis-13147	41	43	to	to	PART
fcis-13147	41	44	be	be	AUX
fcis-13147	41	45	implemented	implement	VERB
fcis-13147	41	46	.	.	PUNCT
fcis-13147	42	1	in	in	ADP
fcis-13147	42	2	this	this	DET
fcis-13147	42	3	article	article	NOUN
fcis-13147	42	4	,	,	PUNCT
fcis-13147	42	5	statistical	statistical	ADJ
fcis-13147	42	6	indicators	indicator	NOUN
fcis-13147	42	7	such	such	ADJ
fcis-13147	42	8	as	as	ADP
fcis-13147	42	9	absolute	absolute	ADJ
fcis-13147	42	10	word	word	NOUN
fcis-13147	42	11	frequency	frequency	NOUN
fcis-13147	42	12	,	,	PUNCT
fcis-13147	42	13	relative	relative	ADJ
fcis-13147	42	14	word	word	NOUN
fcis-13147	42	15	frequency	frequency	NOUN
fcis-13147	42	16	,	,	PUNCT
fcis-13147	42	17	mutual	mutual	ADJ
fcis-13147	42	18	information	information	NOUN
fcis-13147	42	19	,	,	PUNCT
fcis-13147	42	20	and	and	CCONJ
fcis-13147	42	21	information	information	NOUN
fcis-13147	42	22	entropy	entropy	NOUN
fcis-13147	42	23	were	be	AUX
fcis-13147	42	24	used	use	VERB
fcis-13147	42	25	for	for	ADP
fcis-13147	42	26	screening	screen	VERB
fcis-13147	42	27	.	.	PUNCT
fcis-13147	43	1	2.4	2.4	NUM
fcis-13147	43	2	.	.	PUNCT
fcis-13147	43	3	word	word	NOUN
fcis-13147	43	4	frequency	frequency	NOUN
fcis-13147	43	5	based	base	VERB
fcis-13147	43	6	filtering	filter	VERB
fcis-13147	43	7	this	this	DET
fcis-13147	43	8	article	article	NOUN
fcis-13147	43	9	believes	believe	VERB
fcis-13147	43	10	that	that	SCONJ
fcis-13147	43	11	an	an	DET
fcis-13147	43	12	important	important	ADJ
fcis-13147	43	13	feature	feature	NOUN
fcis-13147	43	14	of	of	ADP
fcis-13147	43	15	weibo	weibo	NOUN
fcis-13147	43	16	neologisms	neologism	NOUN
fcis-13147	43	17	,	,	PUNCT
fcis-13147	43	18	especially	especially	ADV
fcis-13147	43	19	those	those	PRON
fcis-13147	43	20	used	use	VERB
fcis-13147	43	21	in	in	ADP
fcis-13147	43	22	daily	daily	ADJ
fcis-13147	43	23	life	life	NOUN
fcis-13147	43	24	,	,	PUNCT
fcis-13147	43	25	is	be	AUX
fcis-13147	43	26	their	their	PRON
fcis-13147	43	27	frequent	frequent	ADJ
fcis-13147	43	28	occurrence	occurrence	NOUN
fcis-13147	43	29	.	.	PUNCT
fcis-13147	44	1	for	for	ADP
fcis-13147	44	2	data	datum	NOUN
fcis-13147	44	3	such	such	ADJ
fcis-13147	44	4	as	as	ADP
fcis-13147	44	5	weibo	weibo	NOUN
fcis-13147	44	6	,	,	PUNCT
fcis-13147	44	7	which	which	PRON
fcis-13147	44	8	is	be	AUX
fcis-13147	44	9	large	large	ADJ
fcis-13147	44	10	in	in	ADP
fcis-13147	44	11	scale	scale	NOUN
fcis-13147	44	12	and	and	CCONJ
fcis-13147	44	13	has	have	VERB
fcis-13147	44	14	content	content	NOUN
fcis-13147	44	15	concentration	concentration	NOUN
fcis-13147	44	16	and	and	CCONJ
fcis-13147	44	17	guidance	guidance	NOUN
fcis-13147	44	18	,	,	PUNCT
fcis-13147	44	19	this	this	DET
fcis-13147	44	20	characteristic	characteristic	NOUN
fcis-13147	44	21	is	be	AUX
fcis-13147	44	22	more	more	ADV
fcis-13147	44	23	prominent	prominent	ADJ
fcis-13147	44	24	,	,	PUNCT
fcis-13147	44	25	that	that	ADV
fcis-13147	44	26	is	is	ADV
fcis-13147	44	27	,	,	PUNCT
fcis-13147	44	28	the	the	DET
fcis-13147	44	29	probability	probability	NOUN
fcis-13147	44	30	of	of	ADP
fcis-13147	44	31	weibo	weibo	ADJ
fcis-13147	44	32	new	new	ADJ
fcis-13147	44	33	words	word	NOUN
fcis-13147	44	34	as	as	ADP
fcis-13147	44	35	low	low	ADJ
fcis-13147	44	36	-	-	PUNCT
fcis-13147	44	37	frequency	frequency	NOUN
fcis-13147	44	38	words	word	NOUN
fcis-13147	44	39	is	be	AUX
fcis-13147	44	40	very	very	ADV
fcis-13147	44	41	small	small	ADJ
fcis-13147	44	42	.	.	PUNCT
fcis-13147	45	1	therefore	therefore	ADV
fcis-13147	45	2	,	,	PUNCT
fcis-13147	45	3	this	this	DET
fcis-13147	45	4	article	article	NOUN
fcis-13147	45	5	considers	consider	VERB
fcis-13147	45	6	first	first	ADV
fcis-13147	45	7	using	use	VERB
fcis-13147	45	8	the	the	DET
fcis-13147	45	9	word	word	NOUN
fcis-13147	45	10	frequency	frequency	NOUN
fcis-13147	45	11	of	of	ADP
fcis-13147	45	12	candidate	candidate	NOUN
fcis-13147	45	13	strings	string	NOUN
fcis-13147	45	14	for	for	ADP
fcis-13147	45	15	preliminary	preliminary	ADJ
fcis-13147	45	16	filtering	filtering	NOUN
fcis-13147	45	17	,	,	PUNCT
fcis-13147	45	18	retaining	retain	VERB
fcis-13147	45	19	candidate	candidate	NOUN
fcis-13147	45	20	strings	string	NOUN
fcis-13147	45	21	with	with	ADP
fcis-13147	45	22	word	word	NOUN
fcis-13147	45	23	frequency	frequency	NOUN
fcis-13147	45	24	greater	great	ADJ
fcis-13147	45	25	than	than	ADP
fcis-13147	45	26	the	the	DET
fcis-13147	45	27	threshold	threshold	NOUN
fcis-13147	45	28	,	,	PUNCT
fcis-13147	45	29	and	and	CCONJ
fcis-13147	45	30	not	not	PART
fcis-13147	45	31	considering	consider	VERB
fcis-13147	45	32	those	those	PRON
fcis-13147	45	33	with	with	ADP
fcis-13147	45	34	fewer	few	ADJ
fcis-13147	45	35	occurrences	occurrence	NOUN
fcis-13147	45	36	.	.	PUNCT
fcis-13147	46	1	2.5	2.5	NUM
fcis-13147	46	2	.	.	PUNCT
fcis-13147	47	1	filtering	filter	VERB
fcis-13147	47	2	based	base	VERB
fcis-13147	47	3	on	on	ADP
fcis-13147	47	4	mutual	mutual	ADJ
fcis-13147	47	5	information	information	NOUN
fcis-13147	47	6	mutual	mutual	ADJ
fcis-13147	47	7	information	information	NOUN
fcis-13147	47	8	(	(	PUNCT
fcis-13147	47	9	mi	mi	NOUN
fcis-13147	47	10	)	)	PUNCT
fcis-13147	48	1	[	[	X
fcis-13147	48	2	6	6	NUM
fcis-13147	48	3	]	]	PUNCT
fcis-13147	48	4	:	:	PUNCT
fcis-13147	48	5	assuming	assume	VERB
fcis-13147	48	6	a	a	PRON
fcis-13147	48	7	is	be	AUX
fcis-13147	48	8	a	a	DET
fcis-13147	48	9	text	text	NOUN
fcis-13147	48	10	string	string	NOUN
fcis-13147	48	11	of	of	ADP
fcis-13147	48	12	length	length	NOUN
fcis-13147	48	13	n	n	CCONJ
fcis-13147	48	14	,	,	PUNCT
fcis-13147	48	15	i.e.	i.e.	X
fcis-13147	48	16	s	s	X
fcis-13147	48	17	=	=	NOUN
fcis-13147	48	18	c1	c1	NOUN
fcis-13147	48	19	...	...	PUNCT
fcis-13147	48	20	cn	cn	PROPN
fcis-13147	48	21	,	,	PUNCT
fcis-13147	48	22	m	m	VERB
fcis-13147	48	23	and	and	CCONJ
fcis-13147	48	24	n	n	PROPN
fcis-13147	48	25	are	be	AUX
fcis-13147	48	26	substrings	substring	NOUN
fcis-13147	48	27	of	of	ADP
fcis-13147	48	28	length	length	NOUN
fcis-13147	48	29	n1	n1	NOUN
fcis-13147	48	30	,	,	PUNCT
fcis-13147	48	31	i.e.	i.e.	X
fcis-13147	48	32	m	m	NOUN
fcis-13147	48	33	=	=	ADJ
fcis-13147	48	34	c1	c1	NOUN
fcis-13147	48	35	...	...	PUNCT
fcis-13147	48	36	cn	cn	PROPN
fcis-13147	48	37	,	,	PUNCT
fcis-13147	48	38	n	n	CCONJ
fcis-13147	48	39	=	=	PROPN
fcis-13147	48	40	c2	c2	PROPN
fcis-13147	48	41	...	...	PUNCT
fcis-13147	49	1	cn	cn	PROPN
fcis-13147	49	2	,	,	PUNCT
fcis-13147	49	3	then	then	ADV
fcis-13147	49	4	:	:	PUNCT
fcis-13147	49	5	mi(a)=	mi(a)=	PROPN
fcis-13147	49	6	(	(	PUNCT
fcis-13147	49	7	1	1	NUM
fcis-13147	49	8	)	)	PUNCT
fcis-13147	49	9	that	that	PRON
fcis-13147	49	10	is	be	AUX
fcis-13147	49	11	the	the	DET
fcis-13147	49	12	mutual	mutual	ADJ
fcis-13147	49	13	information	information	NOUN
fcis-13147	49	14	between	between	ADP
fcis-13147	49	15	m	m	PROPN
fcis-13147	49	16	and	and	CCONJ
fcis-13147	49	17	n	n	CCONJ
fcis-13147	49	18	,	,	PUNCT
fcis-13147	49	19	where	where	SCONJ
fcis-13147	49	20	f(a	f(a	NOUN
fcis-13147	49	21	)	)	PUNCT
fcis-13147	49	22	represents	represent	VERB
fcis-13147	49	23	the	the	DET
fcis-13147	49	24	number	number	NOUN
fcis-13147	49	25	of	of	ADP
fcis-13147	49	26	times	time	NOUN
fcis-13147	49	27	a	a	DET
fcis-13147	49	28	text	text	NOUN
fcis-13147	49	29	string	string	NOUN
fcis-13147	49	30	appears	appear	VERB
fcis-13147	49	31	in	in	ADP
fcis-13147	49	32	the	the	DET
fcis-13147	49	33	corpus	corpus	NOUN
fcis-13147	49	34	,	,	PUNCT
fcis-13147	49	35	and	and	CCONJ
fcis-13147	49	36	f(m+n	f(m+n	NUM
fcis-13147	49	37	)	)	PUNCT
fcis-13147	49	38	represents	represent	VERB
fcis-13147	49	39	the	the	DET
fcis-13147	49	40	total	total	ADJ
fcis-13147	49	41	number	number	NOUN
fcis-13147	49	42	of	of	ADP
fcis-13147	49	43	times	times	PROPN
fcis-13147	49	44	m	m	PROPN
fcis-13147	49	45	and	and	CCONJ
fcis-13147	49	46	n	n	PROPN
fcis-13147	49	47	substrings	substring	NOUN
fcis-13147	49	48	appear	appear	VERB
fcis-13147	49	49	.	.	PUNCT
fcis-13147	50	1	it	it	PRON
fcis-13147	50	2	can	can	AUX
fcis-13147	50	3	be	be	AUX
fcis-13147	50	4	seen	see	VERB
fcis-13147	50	5	that	that	SCONJ
fcis-13147	50	6	the	the	DET
fcis-13147	50	7	larger	large	ADJ
fcis-13147	50	8	mi(a	mi(a	NOUN
fcis-13147	50	9	)	)	PUNCT
fcis-13147	50	10	,	,	PUNCT
fcis-13147	50	11	the	the	PRON
fcis-13147	50	12	greater	great	ADJ
fcis-13147	50	13	the	the	DET
fcis-13147	50	14	probability	probability	NOUN
fcis-13147	50	15	of	of	ADP
fcis-13147	50	16	a	a	DET
fcis-13147	50	17	becoming	become	VERB
fcis-13147	50	18	a	a	DET
fcis-13147	50	19	weibo	weibo	ADJ
fcis-13147	50	20	new	new	ADJ
fcis-13147	50	21	word	word	NOUN
fcis-13147	50	22	.	.	PUNCT
fcis-13147	51	1	2.6	2.6	NUM
fcis-13147	51	2	.	.	PUNCT
fcis-13147	51	3	word	word	NOUN
fcis-13147	51	4	frequency	frequency	NOUN
fcis-13147	51	5	based	base	VERB
fcis-13147	51	6	filtering	filter	VERB
fcis-13147	51	7	mutual	mutual	ADJ
fcis-13147	51	8	information	information	NOUN
fcis-13147	51	9	examines	examine	VERB
fcis-13147	51	10	the	the	DET
fcis-13147	51	11	tight	tight	ADJ
fcis-13147	51	12	internal	internal	ADJ
fcis-13147	51	13	integration	integration	NOUN
fcis-13147	51	14	of	of	ADP
fcis-13147	51	15	words	word	NOUN
fcis-13147	51	16	,	,	PUNCT
fcis-13147	51	17	and	and	CCONJ
fcis-13147	51	18	in	in	ADP
fcis-13147	51	19	actual	actual	ADJ
fcis-13147	51	20	language	language	NOUN
fcis-13147	51	21	environments	environment	NOUN
fcis-13147	51	22	,	,	PUNCT
fcis-13147	51	23	it	it	PRON
fcis-13147	51	24	is	be	AUX
fcis-13147	51	25	necessary	necessary	ADJ
fcis-13147	51	26	to	to	PART
fcis-13147	51	27	simultaneously	simultaneously	ADV
fcis-13147	51	28	examine	examine	VERB
fcis-13147	51	29	the	the	DET
fcis-13147	51	30	flexibility	flexibility	NOUN
fcis-13147	51	31	of	of	ADP
fcis-13147	51	32	weibo	weibo	NOUN
fcis-13147	51	33	neologisms	neologism	NOUN
fcis-13147	51	34	as	as	ADP
fcis-13147	51	35	a	a	DET
fcis-13147	51	36	whole	whole	NOUN
fcis-13147	52	1	[	[	X
fcis-13147	52	2	7	7	NUM
fcis-13147	52	3	]	]	PUNCT
fcis-13147	52	4	,	,	PUNCT
fcis-13147	52	5	which	which	PRON
fcis-13147	52	6	can	can	AUX
fcis-13147	52	7	be	be	AUX
fcis-13147	52	8	reflected	reflect	VERB
fcis-13147	52	9	by	by	ADP
fcis-13147	52	10	the	the	DET
fcis-13147	52	11	variability	variability	NOUN
fcis-13147	52	12	of	of	ADP
fcis-13147	52	13	their	their	PRON
fcis-13147	52	14	contextual	contextual	ADJ
fcis-13147	52	15	environment	environment	NOUN
fcis-13147	52	16	.	.	PUNCT
fcis-13147	53	1	this	this	DET
fcis-13147	53	2	article	article	NOUN
fcis-13147	53	3	uses	use	VERB
fcis-13147	53	4	adjacency	adjacency	PROPN
fcis-13147	53	5	context	context	PROPN
fcis-13147	53	6	information	information	NOUN
fcis-13147	53	7	0	0	NUM
fcis-13147	53	8	to	to	PART
fcis-13147	53	9	describe	describe	VERB
fcis-13147	53	10	whether	whether	SCONJ
fcis-13147	53	11	candidate	candidate	NOUN
fcis-13147	53	12	terms	term	NOUN
fcis-13147	53	13	themselves	themselves	PRON
fcis-13147	53	14	are	be	AUX
fcis-13147	53	15	stably	stably	ADV
fcis-13147	53	16	combined	combine	VERB
fcis-13147	53	17	in	in	ADP
fcis-13147	53	18	different	different	ADJ
fcis-13147	53	19	contexts	contexts	NOUN
fcis-13147	53	20	.	.	PUNCT
fcis-13147	54	1	this	this	DET
fcis-13147	54	2	article	article	NOUN
fcis-13147	54	3	uses	use	VERB
fcis-13147	54	4	adjacency	adjacency	PROPN
fcis-13147	54	5	context	context	PROPN
fcis-13147	54	6	information	information	PROPN
fcis-13147	54	7	entropy	entropy	VERB
fcis-13147	54	8	to	to	PART
fcis-13147	54	9	examine	examine	VERB
fcis-13147	54	10	the	the	DET
fcis-13147	54	11	stability	stability	NOUN
fcis-13147	54	12	of	of	ADP
fcis-13147	54	13	candidate	candidate	NOUN
fcis-13147	54	14	strings	string	NOUN
fcis-13147	54	15	appearing	appear	VERB
fcis-13147	54	16	together	together	ADV
fcis-13147	54	17	in	in	ADP
fcis-13147	54	18	different	different	ADJ
fcis-13147	54	19	contexts	contexts	NOUN
fcis-13147	54	20	.	.	PUNCT
fcis-13147	55	1	the	the	PRON
fcis-13147	55	2	higher	high	ADJ
fcis-13147	55	3	the	the	DET
fcis-13147	55	4	adjacency	adjacency	PROPN
fcis-13147	55	5	information	information	NOUN
fcis-13147	55	6	entropy	entropy	PROPN
fcis-13147	55	7	of	of	ADP
fcis-13147	55	8	a	a	DET
fcis-13147	55	9	string	string	NOUN
fcis-13147	55	10	,	,	PUNCT
fcis-13147	55	11	the	the	DET
fcis-13147	55	12	more	more	ADV
fcis-13147	55	13	variable	variable	ADJ
fcis-13147	55	14	its	its	PRON
fcis-13147	55	15	contextual	contextual	ADJ
fcis-13147	55	16	environment	environment	NOUN
fcis-13147	55	17	is	be	AUX
fcis-13147	55	18	.	.	PUNCT
fcis-13147	56	1	the	the	DET
fcis-13147	56	2	string	string	NOUN
fcis-13147	56	3	is	be	AUX
fcis-13147	56	4	more	more	ADV
fcis-13147	56	5	likely	likely	ADJ
fcis-13147	56	6	to	to	PART
fcis-13147	56	7	appear	appear	VERB
fcis-13147	56	8	in	in	ADP
fcis-13147	56	9	different	different	ADJ
fcis-13147	56	10	contexts	context	NOUN
fcis-13147	57	1	[	[	X
fcis-13147	57	2	8	8	NUM
fcis-13147	57	3	]	]	PUNCT
fcis-13147	57	4	,	,	PUNCT
fcis-13147	57	5	and	and	CCONJ
fcis-13147	57	6	the	the	DET
fcis-13147	57	7	probability	probability	NOUN
fcis-13147	57	8	of	of	ADP
fcis-13147	57	9	word	word	NOUN
fcis-13147	57	10	formation	formation	NOUN
fcis-13147	57	11	is	be	AUX
fcis-13147	57	12	higher	high	ADJ
fcis-13147	57	13	.	.	PUNCT
fcis-13147	58	1	the	the	DET
fcis-13147	58	2	filtering	filter	VERB
fcis-13147	58	3	method	method	NOUN
fcis-13147	58	4	is	be	AUX
fcis-13147	58	5	as	as	SCONJ
fcis-13147	58	6	follows	follow	VERB
fcis-13147	58	7	:	:	PUNCT
fcis-13147	58	8	first	first	ADV
fcis-13147	58	9	,	,	PUNCT
fcis-13147	58	10	the	the	DET
fcis-13147	58	11	corpus	corpus	NOUN
fcis-13147	58	12	is	be	AUX
fcis-13147	58	13	segmented	segment	VERB
fcis-13147	58	14	using	use	VERB
fcis-13147	58	15	a	a	DET
fcis-13147	58	16	word	word	NOUN
fcis-13147	58	17	segmentation	segmentation	NOUN
fcis-13147	58	18	tool	tool	NOUN
fcis-13147	58	19	.	.	PUNCT
fcis-13147	59	1	for	for	ADP
fcis-13147	59	2	each	each	DET
fcis-13147	59	3	string	string	NOUN
fcis-13147	59	4	in	in	ADP
fcis-13147	59	5	the	the	DET
fcis-13147	59	6	remaining	remain	VERB
fcis-13147	59	7	word	word	NOUN
fcis-13147	59	8	string	string	NOUN
fcis-13147	59	9	set	set	VERB
fcis-13147	59	10	in	in	ADP
fcis-13147	59	11	the	the	DET
fcis-13147	59	12	previous	previous	ADJ
fcis-13147	59	13	step	step	NOUN
fcis-13147	59	14	,	,	PUNCT
fcis-13147	59	15	the	the	DET
fcis-13147	59	16	corpus	corpus	NOUN
fcis-13147	59	17	segmentation	segmentation	NOUN
fcis-13147	59	18	result	result	NOUN
fcis-13147	59	19	is	be	AUX
fcis-13147	59	20	processed	process	VERB
fcis-13147	59	21	to	to	PART
fcis-13147	59	22	become	become	VERB
fcis-13147	59	23	an	an	DET
fcis-13147	59	24	independent	independent	ADJ
fcis-13147	59	25	unit	unit	NOUN
fcis-13147	59	26	,	,	PUNCT
fcis-13147	59	27	and	and	CCONJ
fcis-13147	59	28	fragments	fragment	NOUN
fcis-13147	59	29	are	be	AUX
fcis-13147	59	30	integrated	integrate	VERB
fcis-13147	59	31	or	or	CCONJ
fcis-13147	59	32	extracted	extract	VERB
fcis-13147	59	33	from	from	ADP
fcis-13147	59	34	the	the	DET
fcis-13147	59	35	parent	parent	NOUN
fcis-13147	59	36	string	string	NOUN
fcis-13147	59	37	.	.	PUNCT
fcis-13147	60	1	for	for	ADP
fcis-13147	60	2	each	each	DET
fcis-13147	60	3	string	string	NOUN
fcis-13147	60	4	s	s	NOUN
fcis-13147	60	5	,	,	PUNCT
fcis-13147	60	6	the	the	DET
fcis-13147	60	7	adjacency	adjacency	NOUN
fcis-13147	60	8	information	information	NOUN
fcis-13147	60	9	is	be	AUX
fcis-13147	60	10	calculated	calculate	VERB
fcis-13147	60	11	by	by	ADP
fcis-13147	60	12	counting	count	VERB
fcis-13147	60	13	the	the	DET
fcis-13147	60	14	number	number	NOUN
fcis-13147	60	15	of	of	ADP
fcis-13147	60	16	occurrences	occurrence	NOUN
fcis-13147	60	17	of	of	ADP
fcis-13147	60	18	each	each	DET
fcis-13147	60	19	adjacency	adjacency	NOUN
fcis-13147	60	20	string	string	NOUN
fcis-13147	60	21	and	and	CCONJ
fcis-13147	60	22	s	s	X
fcis-13147	60	23	in	in	ADP
fcis-13147	60	24	the	the	DET
fcis-13147	60	25	adjacent	adjacent	ADJ
fcis-13147	60	26	string	string	NOUN
fcis-13147	60	27	set	set	NOUN
fcis-13147	60	28	,	,	PUNCT
fcis-13147	60	29	as	as	ADV
fcis-13147	60	30	well	well	ADV
fcis-13147	60	31	as	as	ADP
fcis-13147	60	32	the	the	DET
fcis-13147	60	33	frequency	frequency	NOUN
fcis-13147	60	34	of	of	ADP
fcis-13147	60	35	s	s	PRON
fcis-13147	60	36	itself	itself	PRON
fcis-13147	60	37	,	,	PUNCT
fcis-13147	60	38	retain	retain	VERB
fcis-13147	60	39	strings	string	NOUN
fcis-13147	60	40	with	with	ADP
fcis-13147	60	41	adjacent	adjacent	ADJ
fcis-13147	60	42	information	information	NOUN
fcis-13147	60	43	greater	great	ADJ
fcis-13147	60	44	than	than	ADP
fcis-13147	60	45	the	the	DET
fcis-13147	60	46	value	value	NOUN
fcis-13147	60	47	as	as	ADP
fcis-13147	60	48	the	the	DET
fcis-13147	60	49	final	final	ADJ
fcis-13147	60	50	weibo	weibo	NOUN
fcis-13147	60	51	new	new	ADJ
fcis-13147	60	52	word	word	NOUN
fcis-13147	60	53	recognition	recognition	NOUN
fcis-13147	60	54	result	result	NOUN
fcis-13147	60	55	.	.	PUNCT
fcis-13147	61	1	3	3	X
fcis-13147	61	2	.	.	X
fcis-13147	61	3	experimental	experimental	ADJ
fcis-13147	61	4	results	result	NOUN
fcis-13147	61	5	and	and	CCONJ
fcis-13147	61	6	analysis	analysis	NOUN
fcis-13147	61	7	3.1	3.1	NUM
fcis-13147	61	8	.	.	PUNCT
fcis-13147	62	1	experimental	experimental	ADJ
fcis-13147	62	2	corpus	corpus	NOUN
fcis-13147	62	3	this	this	DET
fcis-13147	62	4	study	study	NOUN
fcis-13147	62	5	utilizes	utilize	VERB
fcis-13147	62	6	four	four	NUM
fcis-13147	62	7	months	month	NOUN
fcis-13147	62	8	of	of	ADP
fcis-13147	62	9	sina	sina	PROPN
fcis-13147	62	10	weibo	weibo	PROPN
fcis-13147	62	11	data	datum	NOUN
fcis-13147	62	12	from	from	ADP
fcis-13147	62	13	may	may	PROPN
fcis-13147	62	14	to	to	PART
fcis-13147	62	15	august	august	PROPN
fcis-13147	62	16	2020	2020	NUM
fcis-13147	62	17	for	for	ADP
fcis-13147	62	18	analysis	analysis	NOUN
fcis-13147	62	19	.	.	PUNCT
fcis-13147	63	1	firstly	firstly	ADV
fcis-13147	63	2	,	,	PUNCT
fcis-13147	63	3	the	the	DET
fcis-13147	63	4	data	datum	NOUN
fcis-13147	63	5	from	from	ADP
fcis-13147	63	6	may	may	AUX
fcis-13147	63	7	was	be	AUX
fcis-13147	63	8	manually	manually	ADV
fcis-13147	63	9	filtered	filter	VERB
fcis-13147	63	10	to	to	PART
fcis-13147	63	11	identify	identify	VERB
fcis-13147	63	12	new	new	ADJ
fcis-13147	63	13	weibo	weibo	NOUN
fcis-13147	63	14	vocabulary	vocabulary	NOUN
fcis-13147	63	15	and	and	CCONJ
fcis-13147	63	16	set	set	NOUN
fcis-13147	63	17	thresholds	threshold	NOUN
fcis-13147	63	18	for	for	ADP
fcis-13147	63	19	statistical	statistical	ADJ
fcis-13147	63	20	features	feature	NOUN
fcis-13147	63	21	.	.	PUNCT
fcis-13147	64	1	then	then	ADV
fcis-13147	64	2	,	,	PUNCT
fcis-13147	64	3	use	use	VERB
fcis-13147	64	4	the	the	DET
fcis-13147	64	5	remaining	remain	VERB
fcis-13147	64	6	three	three	NUM
fcis-13147	64	7	months	month	NOUN
fcis-13147	64	8	of	of	ADP
fcis-13147	64	9	data	datum	NOUN
fcis-13147	64	10	to	to	PART
fcis-13147	64	11	evaluate	evaluate	VERB
fcis-13147	64	12	the	the	DET
fcis-13147	64	13	recognition	recognition	NOUN
fcis-13147	64	14	ability	ability	NOUN
fcis-13147	64	15	of	of	ADP
fcis-13147	64	16	these	these	DET
fcis-13147	64	17	new	new	ADJ
fcis-13147	64	18	words	word	NOUN
fcis-13147	64	19	.	.	PUNCT
fcis-13147	65	1	3.2	3.2	NUM
fcis-13147	65	2	.	.	PUNCT
fcis-13147	65	3	determination	determination	NOUN
fcis-13147	65	4	of	of	ADP
fcis-13147	65	5	statistical	statistical	ADJ
fcis-13147	65	6	feature	feature	NOUN
fcis-13147	65	7	thresholds	threshold	NOUN
fcis-13147	65	8	in	in	ADP
fcis-13147	65	9	order	order	NOUN
fcis-13147	65	10	to	to	PART
fcis-13147	65	11	screen	screen	VERB
fcis-13147	65	12	out	out	ADP
fcis-13147	65	13	possible	possible	ADJ
fcis-13147	65	14	new	new	ADJ
fcis-13147	65	15	vocabulary	vocabulary	NOUN
fcis-13147	65	16	,	,	PUNCT
fcis-13147	65	17	it	it	PRON
fcis-13147	65	18	is	be	AUX
fcis-13147	65	19	necessary	necessary	ADJ
fcis-13147	65	20	to	to	PART
fcis-13147	65	21	determine	determine	VERB
fcis-13147	65	22	thresholds	threshold	NOUN
fcis-13147	65	23	for	for	ADP
fcis-13147	65	24	mutual	mutual	ADJ
fcis-13147	65	25	information	information	NOUN
fcis-13147	65	26	and	and	CCONJ
fcis-13147	65	27	adjacency	adjacency	PROPN
fcis-13147	65	28	information	information	NOUN
fcis-13147	65	29	.	.	PUNCT
fcis-13147	66	1	for	for	ADP
fcis-13147	66	2	the	the	DET
fcis-13147	66	3	training	training	NOUN
fcis-13147	66	4	data	datum	NOUN
fcis-13147	66	5	in	in	ADP
fcis-13147	66	6	may	may	PROPN
fcis-13147	66	7	,	,	PUNCT
fcis-13147	66	8	215	215	NUM
fcis-13147	66	9	new	new	ADJ
fcis-13147	66	10	weibo	weibo	NOUN
fcis-13147	66	11	vocabulary	vocabulary	NOUN
fcis-13147	66	12	were	be	AUX
fcis-13147	66	13	manually	manually	ADV
fcis-13147	66	14	identified	identify	VERB
fcis-13147	66	15	.	.	PUNCT
fcis-13147	67	1	then	then	ADV
fcis-13147	67	2	,	,	PUNCT
fcis-13147	67	3	randomly	randomly	ADV
fcis-13147	67	4	select	select	VERB
fcis-13147	67	5	60	60	NUM
fcis-13147	67	6	subsets	subset	NOUN
fcis-13147	67	7	from	from	ADP
fcis-13147	67	8	these	these	DET
fcis-13147	67	9	vocabulary	vocabulary	NOUN
fcis-13147	67	10	as	as	ADP
fcis-13147	67	11	the	the	DET
fcis-13147	67	12	training	training	NOUN
fcis-13147	67	13	set	set	VERB
fcis-13147	67	14	to	to	PART
fcis-13147	67	15	estimate	estimate	VERB
fcis-13147	67	16	the	the	DET
fcis-13147	67	17	range	range	NOUN
fcis-13147	67	18	of	of	ADP
fcis-13147	67	19	the	the	DET
fcis-13147	67	20	threshold	threshold	NOUN
fcis-13147	67	21	.	.	PUNCT
fcis-13147	68	1	the	the	DET
fcis-13147	68	2	remaining	remain	VERB
fcis-13147	68	3	vocabulary	vocabulary	NOUN
fcis-13147	68	4	will	will	AUX
fcis-13147	68	5	be	be	AUX
fcis-13147	68	6	used	use	VERB
fcis-13147	68	7	as	as	ADP
fcis-13147	68	8	a	a	DET
fcis-13147	68	9	validation	validation	NOUN
fcis-13147	68	10	set	set	VERB
fcis-13147	68	11	to	to	PART
fcis-13147	68	12	find	find	VERB
fcis-13147	68	13	the	the	DET
fcis-13147	68	14	optimal	optimal	ADJ
fcis-13147	68	15	threshold	threshold	NOUN
fcis-13147	68	16	.	.	PUNCT
fcis-13147	69	1	the	the	DET
fcis-13147	69	2	artificially	artificially	ADV
fcis-13147	69	3	identified	identify	VERB
fcis-13147	69	4	weibo	weibo	NOUN
fcis-13147	69	5	new	new	ADJ
fcis-13147	69	6	words	word	NOUN
fcis-13147	69	7	are	be	AUX
fcis-13147	69	8	extracted	extract	VERB
fcis-13147	69	9	using	use	VERB
fcis-13147	69	10	an	an	DET
fcis-13147	69	11	n	n	CCONJ
fcis-13147	69	12	-	-	PUNCT
fcis-13147	69	13	ary	ary	PROPN
fcis-13147	69	14	incremental	incremental	ADJ
fcis-13147	69	15	model	model	NOUN
fcis-13147	69	16	for	for	ADP
fcis-13147	69	17	string	string	NOUN
fcis-13147	69	18	extraction	extraction	NOUN
fcis-13147	69	19	and	and	CCONJ
fcis-13147	69	20	re	re	AUX
fcis-13147	69	21	string	string	NOUN
fcis-13147	69	22	filtering	filtering	NOUN
fcis-13147	69	23	.	.	PUNCT
fcis-13147	70	1	in	in	ADP
fcis-13147	70	2	the	the	DET
fcis-13147	70	3	filtered	filter	VERB
fcis-13147	70	4	training	training	NOUN
fcis-13147	70	5	subset	subset	NOUN
fcis-13147	70	6	,	,	PUNCT
fcis-13147	70	7	for	for	ADP
fcis-13147	70	8	the	the	DET
fcis-13147	70	9	case	case	NOUN
fcis-13147	70	10	where	where	SCONJ
fcis-13147	70	11	both	both	CCONJ
fcis-13147	70	12	the	the	DET
fcis-13147	70	13	string	string	NOUN
fcis-13147	70	14	s	s	X
fcis-13147	70	15	and	and	CCONJ
fcis-13147	70	16	its	its	PRON
fcis-13147	70	17	parent	parent	NOUN
fcis-13147	70	18	string	string	NOUN
fcis-13147	70	19	are	be	AUX
fcis-13147	70	20	included	include	VERB
fcis-13147	70	21	,	,	PUNCT
fcis-13147	70	22	the	the	DET
fcis-13147	70	23	information	information	NOUN
fcis-13147	70	24	values	value	NOUN
fcis-13147	70	25	of	of	ADP
fcis-13147	70	26	all	all	DET
fcis-13147	70	27	s	s	NOUN
fcis-13147	70	28	are	be	AUX
fcis-13147	70	29	calculated	calculate	VERB
fcis-13147	70	30	.	.	PUNCT
fcis-13147	71	1	finally	finally	ADV
fcis-13147	71	2	,	,	PUNCT
fcis-13147	71	3	the	the	DET
fcis-13147	71	4	threshold	threshold	NOUN
fcis-13147	71	5	range	range	NOUN
fcis-13147	71	6	of	of	ADP
fcis-13147	71	7	mutual	mutual	ADJ
fcis-13147	71	8	information	information	NOUN
fcis-13147	71	9	is	be	AUX
fcis-13147	71	10	determined	determine	VERB
fcis-13147	71	11	by	by	ADP
fcis-13147	71	12	calculating	calculate	VERB
fcis-13147	71	13	the	the	DET
fcis-13147	71	14	maximum	maximum	ADJ
fcis-13147	71	15	and	and	CCONJ
fcis-13147	71	16	minimum	minimum	ADJ
fcis-13147	71	17	mutual	mutual	ADJ
fcis-13147	71	18	information	information	NOUN
fcis-13147	71	19	values	value	NOUN
fcis-13147	71	20	on	on	ADP
fcis-13147	71	21	this	this	DET
fcis-13147	71	22	training	training	NOUN
fcis-13147	71	23	subset	subset	NOUN
fcis-13147	71	24	.	.	PUNCT
fcis-13147	72	1	then	then	ADV
fcis-13147	72	2	,	,	PUNCT
fcis-13147	72	3	within	within	ADP
fcis-13147	72	4	this	this	DET
fcis-13147	72	5	threshold	threshold	NOUN
fcis-13147	72	6	range	range	NOUN
fcis-13147	72	7	,	,	PUNCT
fcis-13147	72	8	identify	identify	VERB
fcis-13147	72	9	and	and	CCONJ
fcis-13147	72	10	count	count	VERB
fcis-13147	72	11	the	the	DET
fcis-13147	72	12	accuracy	accuracy	NOUN
fcis-13147	72	13	,	,	PUNCT
fcis-13147	72	14	recall	recall	NOUN
fcis-13147	72	15	,	,	PUNCT
fcis-13147	72	16	and	and	CCONJ
fcis-13147	72	17	f	f	X
fcis-13147	72	18	-	-	PUNCT
fcis-13147	72	19	value	value	NOUN
fcis-13147	72	20	of	of	ADP
fcis-13147	72	21	weibo	weibo	ADJ
fcis-13147	72	22	new	new	ADJ
fcis-13147	72	23	words	word	NOUN
fcis-13147	72	24	in	in	ADP
fcis-13147	72	25	the	the	DET
fcis-13147	72	26	validated	validate	VERB
fcis-13147	72	27	corpus	corpus	NOUN
fcis-13147	72	28	,	,	PUNCT
fcis-13147	72	29	and	and	CCONJ
fcis-13147	72	30	select	select	VERB
fcis-13147	72	31	the	the	DET
fcis-13147	72	32	best	good	ADJ
fcis-13147	72	33	information	information	NOUN
fcis-13147	72	34	entropy	entropy	NOUN
fcis-13147	72	35	value	value	NOUN
fcis-13147	72	36	as	as	ADP
fcis-13147	72	37	the	the	DET
fcis-13147	72	38	information	information	NOUN
fcis-13147	72	39	threshold	threshold	NOUN
fcis-13147	72	40	for	for	ADP
fcis-13147	72	41	this	this	DET
fcis-13147	72	42	experiment	experiment	NOUN
fcis-13147	72	43	.	.	PUNCT
fcis-13147	73	1	after	after	ADP
fcis-13147	73	2	the	the	DET
fcis-13147	73	3	experiment	experiment	NOUN
fcis-13147	73	4	,	,	PUNCT
fcis-13147	73	5	the	the	DET
fcis-13147	73	6	mutual	mutual	ADJ
fcis-13147	73	7	information	information	NOUN
fcis-13147	73	8	threshold	threshold	NOUN
fcis-13147	73	9	was	be	AUX
fcis-13147	73	10	determined	determine	VERB
fcis-13147	73	11	to	to	PART
fcis-13147	73	12	be	be	AUX
fcis-13147	73	13	5.8	5.8	NUM
fcis-13147	73	14	,	,	PUNCT
fcis-13147	73	15	at	at	ADP
fcis-13147	73	16	which	which	DET
fcis-13147	73	17	point	point	NOUN
fcis-13147	73	18	the	the	DET
fcis-13147	73	19	f	f	NOUN
fcis-13147	73	20	-	-	PUNCT
fcis-13147	73	21	value	value	NOUN
fcis-13147	73	22	was	be	AUX
fcis-13147	73	23	78.16	78.16	NUM
fcis-13147	73	24	%	%	NOUN
fcis-13147	73	25	.	.	PUNCT
fcis-13147	74	1	add	add	VERB
fcis-13147	74	2	all	all	DET
fcis-13147	74	3	manually	manually	ADV
fcis-13147	74	4	recognized	recognize	VERB
fcis-13147	74	5	weibo	weibo	NOUN
fcis-13147	74	6	new	new	ADJ
fcis-13147	74	7	words	word	NOUN
fcis-13147	74	8	to	to	ADP
fcis-13147	74	9	the	the	DET
fcis-13147	74	10	segmentation	segmentation	NOUN
fcis-13147	74	11	tool	tool	NOUN
fcis-13147	74	12	dictionary	dictionary	NOUN
fcis-13147	74	13	to	to	PART
fcis-13147	74	14	assist	assist	VERB
fcis-13147	74	15	in	in	ADP
fcis-13147	74	16	word	word	NOUN
fcis-13147	74	17	segmentation	segmentation	NOUN
fcis-13147	74	18	.	.	PUNCT
fcis-13147	75	1	then	then	ADV
fcis-13147	75	2	,	,	PUNCT
fcis-13147	75	3	on	on	ADP
fcis-13147	75	4	the	the	DET
fcis-13147	75	5	segmentation	segmentation	NOUN
fcis-13147	75	6	results	result	NOUN
fcis-13147	75	7	,	,	PUNCT
fcis-13147	75	8	calculate	calculate	VERB
fcis-13147	75	9	the	the	DET
fcis-13147	75	10	contextual	contextual	ADJ
fcis-13147	75	11	adjacency	adjacency	NOUN
fcis-13147	75	12	string	string	NOUN
fcis-13147	75	13	set	set	PROPN
fcis-13147	75	14	of	of	ADP
fcis-13147	75	15	weibo	weibo	ADJ
fcis-13147	75	16	new	new	ADJ
fcis-13147	75	17	words	word	NOUN
fcis-13147	75	18	in	in	ADP
fcis-13147	75	19	the	the	DET
fcis-13147	75	20	training	training	NOUN
fcis-13147	75	21	subset	subset	NOUN
fcis-13147	75	22	,	,	PUNCT
fcis-13147	75	23	calculate	calculate	VERB
fcis-13147	75	24	the	the	DET
fcis-13147	75	25	adjacency	adjacency	PROPN
fcis-13147	75	26	information	information	NOUN
fcis-13147	75	27	entropy	entropy	NOUN
fcis-13147	75	28	of	of	ADP
fcis-13147	75	29	all	all	DET
fcis-13147	75	30	weibo	weibo	VERB
fcis-13147	75	31	new	new	ADJ
fcis-13147	75	32	words	word	NOUN
fcis-13147	75	33	in	in	ADP
fcis-13147	75	34	the	the	DET
fcis-13147	75	35	training	training	NOUN
fcis-13147	75	36	subset	subset	NOUN
fcis-13147	75	37	,	,	PUNCT
fcis-13147	75	38	and	and	CCONJ
fcis-13147	75	39	determine	determine	VERB
fcis-13147	75	40	the	the	DET
fcis-13147	75	41	threshold	threshold	NOUN
fcis-13147	75	42	range	range	NOUN
fcis-13147	75	43	.	.	PUNCT
fcis-13147	76	1	within	within	ADP
fcis-13147	76	2	this	this	DET
fcis-13147	76	3	range	range	NOUN
fcis-13147	76	4	,	,	PUNCT
fcis-13147	76	5	conduct	conduct	VERB
fcis-13147	76	6	weibo	weibo	NOUN
fcis-13147	76	7	new	new	ADJ
fcis-13147	76	8	word	word	NOUN
fcis-13147	76	9	recognition	recognition	NOUN
fcis-13147	76	10	experiments	experiment	NOUN
fcis-13147	76	11	on	on	ADP
fcis-13147	76	12	the	the	DET
fcis-13147	76	13	validation	validation	NOUN
fcis-13147	76	14	set	set	NOUN
fcis-13147	76	15	and	and	CCONJ
fcis-13147	76	16	calculate	calculate	VERB
fcis-13147	76	17	the	the	DET
fcis-13147	76	18	accuracy	accuracy	NOUN
fcis-13147	76	19	,	,	PUNCT
fcis-13147	76	20	recall	recall	NOUN
fcis-13147	76	21	,	,	PUNCT
fcis-13147	76	22	and	and	CCONJ
fcis-13147	76	23	f	f	X
fcis-13147	76	24	-	-	PUNCT
fcis-13147	76	25	value	value	NOUN
fcis-13147	76	26	,	,	PUNCT
fcis-13147	76	27	select	select	VERB
fcis-13147	76	28	the	the	DET
fcis-13147	76	29	information	information	NOUN
fcis-13147	76	30	value	value	NOUN
fcis-13147	76	31	that	that	PRON
fcis-13147	76	32	can	can	AUX
fcis-13147	76	33	obtain	obtain	VERB
fcis-13147	76	34	the	the	DET
fcis-13147	76	35	best	good	ADJ
fcis-13147	76	36	f	f	NOUN
fcis-13147	76	37	as	as	ADP
fcis-13147	76	38	the	the	DET
fcis-13147	76	39	adjacency	adjacency	PROPN
fcis-13147	76	40	string	string	PROPN
fcis-13147	76	41	information	information	NOUN
fcis-13147	76	42	threshold	threshold	NOUN
fcis-13147	76	43	for	for	ADP
fcis-13147	76	44	this	this	DET
fcis-13147	76	45	experiment	experiment	NOUN
fcis-13147	76	46	.	.	PUNCT
fcis-13147	77	1	after	after	ADP
fcis-13147	77	2	the	the	DET
fcis-13147	77	3	experiment	experiment	NOUN
fcis-13147	77	4	,	,	PUNCT
fcis-13147	77	5	it	it	PRON
fcis-13147	77	6	was	be	AUX
fcis-13147	77	7	determined	determine	VERB
fcis-13147	77	8	that	that	SCONJ
fcis-13147	77	9	the	the	DET
fcis-13147	77	10	adjacency	adjacency	PROPN
fcis-13147	77	11	information	information	NOUN
fcis-13147	77	12	entropy	entropy	PROPN
fcis-13147	77	13	threshold	threshold	PROPN
fcis-13147	77	14	was	be	AUX
fcis-13147	77	15	0.7	0.7	NUM
fcis-13147	77	16	,	,	PUNCT
fcis-13147	77	17	and	and	CCONJ
fcis-13147	77	18	at	at	ADP
fcis-13147	77	19	this	this	DET
fcis-13147	77	20	point	point	NOUN
fcis-13147	77	21	,	,	PUNCT
fcis-13147	77	22	the	the	DET
fcis-13147	77	23	f	f	NOUN
fcis-13147	77	24	-	-	PUNCT
fcis-13147	77	25	value	value	NOUN
fcis-13147	77	26	was	be	AUX
fcis-13147	77	27	76.18	76.18	NUM
fcis-13147	77	28	%	%	NOUN
fcis-13147	77	29	.	.	PUNCT
fcis-13147	78	1	3.3	3.3	NUM
fcis-13147	78	2	.	.	PUNCT
fcis-13147	79	1	experimental	experimental	ADJ
fcis-13147	79	2	result	result	NOUN
fcis-13147	79	3	due	due	ADP
fcis-13147	79	4	to	to	ADP
fcis-13147	79	5	the	the	DET
fcis-13147	79	6	complexity	complexity	NOUN
fcis-13147	79	7	of	of	ADP
fcis-13147	79	8	manually	manually	ADV
fcis-13147	79	9	identifying	identify	VERB
fcis-13147	79	10	weibo	weibo	NOUN
fcis-13147	79	11	new	new	ADJ
fcis-13147	79	12	words	word	NOUN
fcis-13147	79	13	from	from	ADP
fcis-13147	79	14	a	a	DET
fcis-13147	79	15	large	large	ADJ
fcis-13147	79	16	amount	amount	NOUN
fcis-13147	79	17	of	of	ADP
fcis-13147	79	18	weibo	weibo	PROPN
fcis-13147	79	19	data	datum	NOUN
fcis-13147	79	20	,	,	PUNCT
fcis-13147	79	21	this	this	DET
fcis-13147	79	22	article	article	NOUN
fcis-13147	79	23	mainly	mainly	ADV
fcis-13147	79	24	examines	examine	VERB
fcis-13147	79	25	the	the	DET
fcis-13147	79	26	filtering	filter	VERB
fcis-13147	79	27	performance	performance	NOUN
fcis-13147	79	28	of	of	ADP
fcis-13147	79	29	non	non	ADJ
fcis-13147	79	30	-	-	ADJ
fcis-13147	79	31	weibo	weibo	ADJ
fcis-13147	79	32	new	new	ADJ
fcis-13147	79	33	words	word	NOUN
fcis-13147	79	34	in	in	ADP
fcis-13147	79	35	candidate	candidate	NOUN
fcis-13147	79	36	strings	string	NOUN
fcis-13147	79	37	.	.	PUNCT
fcis-13147	80	1	only	only	ADV
fcis-13147	80	2	one	one	NUM
fcis-13147	80	3	month	month	NOUN
fcis-13147	80	4	of	of	ADP
fcis-13147	80	5	test	test	NOUN
fcis-13147	80	6	data	datum	NOUN
fcis-13147	80	7	is	be	AUX
fcis-13147	80	8	used	use	VERB
fcis-13147	80	9	to	to	PART
fcis-13147	80	10	manually	manually	ADV
fcis-13147	80	11	identify	identify	VERB
fcis-13147	80	12	weibo	weibo	VERB
fcis-13147	80	13	new	new	ADJ
fcis-13147	80	14	words	word	NOUN
fcis-13147	80	15	and	and	CCONJ
fcis-13147	80	16	calculate	calculate	NOUN
fcis-13147	80	17	accuracy	accuracy	NOUN
fcis-13147	80	18	,	,	PUNCT
fcis-13147	80	19	recall	recall	NOUN
fcis-13147	80	20	,	,	PUNCT
fcis-13147	80	21	and	and	CCONJ
fcis-13147	80	22	f	f	X
fcis-13147	80	23	-	-	PUNCT
fcis-13147	80	24	value	value	NOUN
fcis-13147	80	25	.	.	PUNCT
fcis-13147	81	1	in	in	ADP
fcis-13147	81	2	this	this	DET
fcis-13147	81	3	study	study	NOUN
fcis-13147	81	4	,	,	PUNCT
fcis-13147	81	5	we	we	PRON
fcis-13147	81	6	analyzed	analyze	VERB
fcis-13147	81	7	the	the	DET
fcis-13147	81	8	recognition	recognition	NOUN
fcis-13147	81	9	of	of	ADP
fcis-13147	81	10	new	new	ADJ
fcis-13147	81	11	vocabulary	vocabulary	NOUN
fcis-13147	81	12	on	on	ADP
fcis-13147	81	13	sina	sina	PROPN
fcis-13147	81	14	weibo	weibo	PROPN
fcis-13147	81	15	in	in	ADP
fcis-13147	81	16	july	july	PROPN
fcis-13147	81	17	and	and	CCONJ
fcis-13147	81	18	presented	present	VERB
fcis-13147	81	19	the	the	DET
fcis-13147	81	20	results	result	NOUN
fcis-13147	81	21	in	in	ADP
fcis-13147	81	22	table	table	NOUN
fcis-13147	81	23	1	1	NUM
fcis-13147	81	24	.	.	PUNCT
fcis-13147	82	1	we	we	PRON
fcis-13147	82	2	have	have	AUX
fcis-13147	82	3	calculated	calculate	VERB
fcis-13147	82	4	in	in	ADP
fcis-13147	82	5	detail	detail	NOUN
fcis-13147	82	6	the	the	DET
fcis-13147	82	7	accuracy	accuracy	NOUN
fcis-13147	82	8	,	,	PUNCT
fcis-13147	82	9	recall	recall	NOUN
fcis-13147	82	10	rate	rate	NOUN
fcis-13147	82	11	,	,	PUNCT
fcis-13147	82	12	and	and	CCONJ
fcis-13147	82	13	f	f	X
fcis-13147	82	14	-	-	PUNCT
fcis-13147	82	15	value	value	NOUN
fcis-13147	82	16	of	of	ADP
fcis-13147	82	17	various	various	ADJ
fcis-13147	82	18	indicators	indicator	NOUN
fcis-13147	82	19	after	after	ADP
fcis-13147	82	20	various	various	ADJ
fcis-13147	82	21	string	string	NOUN
fcis-13147	82	22	filtering	filter	VERB
fcis-13147	82	23	mechanisms	mechanism	NOUN
fcis-13147	82	24	.	.	PUNCT
fcis-13147	83	1	147	147	NUM
fcis-13147	83	2	table	table	NOUN
fcis-13147	83	3	1	1	NUM
fcis-13147	83	4	.	.	PUNCT
fcis-13147	83	5	new	new	ADJ
fcis-13147	83	6	word	word	NOUN
fcis-13147	83	7	recognition	recognition	NOUN
fcis-13147	83	8	performance	performance	NOUN
fcis-13147	83	9	on	on	ADP
fcis-13147	83	10	weibo	weibo	PROPN
fcis-13147	83	11	data	datum	NOUN
fcis-13147	83	12	numble	numble	ADJ
fcis-13147	83	13	filter	filter	NOUN
fcis-13147	83	14	method	method	NOUN
fcis-13147	83	15	accuracy	accuracy	NOUN
fcis-13147	83	16	recall	recall	NOUN
fcis-13147	83	17	f	f	PROPN
fcis-13147	83	18	value	value	NOUN
fcis-13147	83	19	1	1	NUM
fcis-13147	83	20	not	not	PART
fcis-13147	83	21	filtered	filter	VERB
fcis-13147	83	22	12.68	12.68	NUM
fcis-13147	83	23	%	%	NOUN
fcis-13147	83	24	81.87	81.87	NUM
fcis-13147	83	25	%	%	NOUN
fcis-13147	83	26	25.68	25.68	NUM
fcis-13147	83	27	%	%	NOUN
fcis-13147	83	28	2	2	NUM
fcis-13147	83	29	after	after	ADP
fcis-13147	83	30	overlapping	overlap	VERB
fcis-13147	83	31	string	string	NOUN
fcis-13147	83	32	filtering	filter	VERB
fcis-13147	83	33	67.56	67.56	NUM
fcis-13147	83	34	%	%	NOUN
fcis-13147	83	35	79.88	79.88	NUM
fcis-13147	83	36	%	%	NOUN
fcis-13147	83	37	73.87	73.87	NUM
fcis-13147	83	38	%	%	NOUN
fcis-13147	83	39	3	3	NUM
fcis-13147	83	40	mutual	mutual	ADJ
fcis-13147	83	41	information	information	NOUN
fcis-13147	83	42	78.90	78.90	NUM
fcis-13147	83	43	%	%	NOUN
fcis-13147	83	44	76.56	76.56	NUM
fcis-13147	83	45	%	%	NOUN
fcis-13147	83	46	76.86	76.86	NUM
fcis-13147	83	47	%	%	NOUN
fcis-13147	83	48	4	4	NUM
fcis-13147	83	49	adjacency	adjacency	NOUN
fcis-13147	83	50	information	information	NOUN
fcis-13147	83	51	entropy	entropy	PROPN
fcis-13147	83	52	83.67	83.67	NUM
fcis-13147	83	53	%	%	NOUN
fcis-13147	83	54	75.16	75.16	NUM
fcis-13147	83	55	%	%	NOUN
fcis-13147	83	56	79.18	79.18	NUM
fcis-13147	83	57	%	%	NOUN
fcis-13147	83	58	with	with	ADP
fcis-13147	83	59	each	each	DET
fcis-13147	83	60	addition	addition	NOUN
fcis-13147	83	61	of	of	ADP
fcis-13147	83	62	a	a	DET
fcis-13147	83	63	filtering	filter	VERB
fcis-13147	83	64	method	method	NOUN
fcis-13147	83	65	,	,	PUNCT
fcis-13147	83	66	the	the	DET
fcis-13147	83	67	performance	performance	NOUN
fcis-13147	83	68	of	of	ADP
fcis-13147	83	69	weibo	weibo	ADJ
fcis-13147	83	70	new	new	ADJ
fcis-13147	83	71	word	word	NOUN
fcis-13147	83	72	recognition	recognition	NOUN
fcis-13147	83	73	is	be	AUX
fcis-13147	83	74	improved	improve	VERB
fcis-13147	83	75	.	.	PUNCT
fcis-13147	84	1	after	after	ADP
fcis-13147	84	2	statistics	statistic	NOUN
fcis-13147	84	3	,	,	PUNCT
fcis-13147	84	4	it	it	PRON
fcis-13147	84	5	was	be	AUX
fcis-13147	84	6	found	find	VERB
fcis-13147	84	7	that	that	SCONJ
fcis-13147	84	8	words	word	NOUN
fcis-13147	84	9	with	with	ADP
fcis-13147	84	10	three	three	NUM
fcis-13147	84	11	or	or	CCONJ
fcis-13147	84	12	more	more	ADJ
fcis-13147	84	13	characters	character	NOUN
fcis-13147	84	14	accounted	account	VERB
fcis-13147	84	15	for	for	ADP
fcis-13147	84	16	89.18	89.18	NUM
fcis-13147	84	17	%	%	NOUN
fcis-13147	84	18	of	of	ADP
fcis-13147	84	19	the	the	DET
fcis-13147	84	20	identified	identify	VERB
fcis-13147	84	21	weibo	weibo	NOUN
fcis-13147	84	22	new	new	ADJ
fcis-13147	84	23	words	word	NOUN
fcis-13147	84	24	,	,	PUNCT
fcis-13147	84	25	indicating	indicate	VERB
fcis-13147	84	26	that	that	SCONJ
fcis-13147	84	27	this	this	DET
fcis-13147	84	28	method	method	NOUN
fcis-13147	84	29	has	have	VERB
fcis-13147	84	30	good	good	ADJ
fcis-13147	84	31	recognition	recognition	NOUN
fcis-13147	84	32	performance	performance	NOUN
fcis-13147	84	33	for	for	ADP
fcis-13147	84	34	weibo	weibo	ADJ
fcis-13147	84	35	new	new	ADJ
fcis-13147	84	36	words	word	NOUN
fcis-13147	84	37	,	,	PUNCT
fcis-13147	84	38	especially	especially	ADV
fcis-13147	84	39	those	those	PRON
fcis-13147	84	40	with	with	ADP
fcis-13147	84	41	longer	long	ADJ
fcis-13147	84	42	word	word	NOUN
fcis-13147	84	43	lengths	length	NOUN
fcis-13147	84	44	.	.	PUNCT
fcis-13147	85	1	the	the	DET
fcis-13147	85	2	filtering	filter	VERB
fcis-13147	85	3	performance	performance	NOUN
fcis-13147	85	4	of	of	ADP
fcis-13147	85	5	non	non	ADJ
fcis-13147	85	6	-	-	ADJ
fcis-13147	85	7	weibo	weibo	ADJ
fcis-13147	85	8	new	new	ADJ
fcis-13147	85	9	word	word	NOUN
fcis-13147	85	10	strings	string	NOUN
fcis-13147	85	11	in	in	ADP
fcis-13147	85	12	may	may	PROPN
fcis-13147	85	13	,	,	PUNCT
fcis-13147	85	14	june	june	PROPN
fcis-13147	85	15	,	,	PUNCT
fcis-13147	85	16	and	and	CCONJ
fcis-13147	85	17	august	august	PROPN
fcis-13147	85	18	is	be	AUX
fcis-13147	85	19	shown	show	VERB
fcis-13147	85	20	in	in	ADP
fcis-13147	85	21	table	table	NOUN
fcis-13147	85	22	2	2	NUM
fcis-13147	85	23	.	.	PUNCT
fcis-13147	86	1	the	the	DET
fcis-13147	86	2	filtering	filter	VERB
fcis-13147	86	3	percentage	percentage	NOUN
fcis-13147	86	4	of	of	ADP
fcis-13147	86	5	non	non	ADJ
fcis-13147	86	6	-	-	ADJ
fcis-13147	86	7	weibo	weibo	ADJ
fcis-13147	86	8	new	new	ADJ
fcis-13147	86	9	word	word	NOUN
fcis-13147	86	10	strings	string	NOUN
fcis-13147	86	11	after	after	SCONJ
fcis-13147	86	12	each	each	DET
fcis-13147	86	13	filtering	filtering	NOUN
fcis-13147	86	14	method	method	NOUN
fcis-13147	86	15	is	be	AUX
fcis-13147	86	16	calculated	calculate	VERB
fcis-13147	86	17	in	in	ADP
fcis-13147	86	18	sequence	sequence	NOUN
fcis-13147	86	19	.	.	PUNCT
fcis-13147	87	1	table	table	NOUN
fcis-13147	87	2	2	2	NUM
fcis-13147	87	3	.	.	PUNCT
fcis-13147	88	1	non	non	ADJ
fcis-13147	88	2	-	-	ADJ
fcis-13147	88	3	weibo	weibo	ADJ
fcis-13147	88	4	new	new	ADJ
fcis-13147	88	5	word	word	NOUN
fcis-13147	88	6	filtering	filter	VERB
fcis-13147	88	7	statistics	statistic	NOUN
fcis-13147	89	1	numble	numble	ADJ
fcis-13147	89	2	experimental	experimental	ADJ
fcis-13147	89	3	items	item	NOUN
fcis-13147	89	4	training	train	VERB
fcis-13147	89	5	set	set	VERB
fcis-13147	89	6	1	1	NUM
fcis-13147	89	7	training	training	NOUN
fcis-13147	89	8	set	set	VERB
fcis-13147	89	9	2	2	NUM
fcis-13147	89	10	training	training	NOUN
fcis-13147	89	11	set	set	VERB
fcis-13147	89	12	3	3	NUM
fcis-13147	89	13	1	1	NUM
fcis-13147	89	14	number	number	NOUN
fcis-13147	89	15	of	of	ADP
fcis-13147	89	16	topics	topic	NOUN
fcis-13147	89	17	465	465	NUM
fcis-13147	89	18	6	6	NUM
fcis-13147	89	19	18.76	18.76	NUM
fcis-13147	89	20	2	2	NUM
fcis-13147	89	21	number	number	NOUN
fcis-13147	89	22	of	of	ADP
fcis-13147	89	23	non	non	ADJ
fcis-13147	89	24	-	-	ADJ
fcis-13147	89	25	new	new	ADJ
fcis-13147	89	26	word	word	NOUN
fcis-13147	89	27	strings	string	VERB
fcis-13147	89	28	3356	3356	NUM
fcis-13147	89	29	3058	3058	NUM
fcis-13147	89	30	3126	3126	NUM
fcis-13147	89	31	3	3	NUM
fcis-13147	89	32	after	after	ADP
fcis-13147	89	33	overlapping	overlap	VERB
fcis-13147	89	34	string	string	NOUN
fcis-13147	89	35	filtering	filter	VERB
fcis-13147	89	36	1365	1365	NUM
fcis-13147	89	37	1256	1256	NUM
fcis-13147	89	38	1298	1298	NUM
fcis-13147	89	39	4	4	NUM
fcis-13147	89	40	after	after	ADP
fcis-13147	89	41	mutual	mutual	ADJ
fcis-13147	89	42	information	information	NOUN
fcis-13147	89	43	filtering	filter	VERB
fcis-13147	89	44	952	952	NUM
fcis-13147	89	45	768	768	NUM
fcis-13147	89	46	826	826	NUM
fcis-13147	89	47	5	5	NUM
fcis-13147	89	48	after	after	ADP
fcis-13147	89	49	filtering	filter	VERB
fcis-13147	89	50	adjacency	adjacency	PROPN
fcis-13147	89	51	information	information	NOUN
fcis-13147	89	52	812	812	NUM
fcis-13147	89	53	615	615	NUM
fcis-13147	89	54	732	732	NUM
fcis-13147	89	55	6	6	NUM
fcis-13147	89	56	string	string	NOUN
fcis-13147	89	57	filtering	filter	VERB
fcis-13147	89	58	percentage	percentage	NOUN
fcis-13147	89	59	76.87	76.87	NUM
fcis-13147	89	60	%	%	NOUN
fcis-13147	89	61	79.65	79.65	NUM
fcis-13147	89	62	%	%	NOUN
fcis-13147	89	63	76.61	76.61	NUM
fcis-13147	89	64	%	%	NOUN
fcis-13147	89	65	by	by	ADP
fcis-13147	89	66	observing	observe	VERB
fcis-13147	89	67	table	table	NOUN
fcis-13147	89	68	2	2	NUM
fcis-13147	89	69	,	,	PUNCT
fcis-13147	89	70	it	it	PRON
fcis-13147	89	71	can	can	AUX
fcis-13147	89	72	be	be	AUX
fcis-13147	89	73	found	find	VERB
fcis-13147	89	74	that	that	SCONJ
fcis-13147	89	75	the	the	DET
fcis-13147	89	76	research	research	NOUN
fcis-13147	89	77	method	method	NOUN
fcis-13147	89	78	in	in	ADP
fcis-13147	89	79	this	this	DET
fcis-13147	89	80	article	article	NOUN
fcis-13147	89	81	has	have	VERB
fcis-13147	89	82	good	good	ADJ
fcis-13147	89	83	filtering	filtering	NOUN
fcis-13147	89	84	ability	ability	NOUN
fcis-13147	89	85	for	for	ADP
fcis-13147	89	86	selecting	select	VERB
fcis-13147	89	87	candidate	candidate	NOUN
fcis-13147	89	88	strings	string	NOUN
fcis-13147	89	89	of	of	ADP
fcis-13147	89	90	non	non	ADJ
fcis-13147	89	91	-	-	ADJ
fcis-13147	89	92	weibo	weibo	ADJ
fcis-13147	89	93	new	new	ADJ
fcis-13147	89	94	words	word	NOUN
fcis-13147	89	95	.	.	PUNCT
fcis-13147	90	1	this	this	DET
fcis-13147	90	2	method	method	NOUN
fcis-13147	90	3	can	can	AUX
fcis-13147	90	4	quickly	quickly	ADV
fcis-13147	90	5	reduce	reduce	VERB
fcis-13147	90	6	the	the	DET
fcis-13147	90	7	set	set	NOUN
fcis-13147	90	8	of	of	ADP
fcis-13147	90	9	candidate	candidate	NOUN
fcis-13147	90	10	strings	string	NOUN
fcis-13147	90	11	with	with	ADP
fcis-13147	90	12	lower	low	ADJ
fcis-13147	90	13	experimental	experimental	ADJ
fcis-13147	90	14	costs	cost	NOUN
fcis-13147	90	15	without	without	ADP
fcis-13147	90	16	losing	lose	VERB
fcis-13147	90	17	recognition	recognition	NOUN
fcis-13147	90	18	accuracy	accuracy	NOUN
fcis-13147	90	19	.	.	PUNCT
fcis-13147	91	1	4	4	X
fcis-13147	91	2	.	.	X
fcis-13147	91	3	summary	summary	NOUN
fcis-13147	91	4	this	this	DET
fcis-13147	91	5	article	article	NOUN
fcis-13147	91	6	proposes	propose	VERB
fcis-13147	91	7	a	a	DET
fcis-13147	91	8	weibo	weibo	ADJ
fcis-13147	91	9	new	new	ADJ
fcis-13147	91	10	word	word	NOUN
fcis-13147	91	11	recognition	recognition	NOUN
fcis-13147	91	12	method	method	NOUN
fcis-13147	91	13	that	that	PRON
fcis-13147	91	14	utilizes	utilize	VERB
fcis-13147	91	15	the	the	DET
fcis-13147	91	16	characteristics	characteristic	NOUN
fcis-13147	91	17	of	of	ADP
fcis-13147	91	18	weibo	weibo	PROPN
fcis-13147	91	19	content	content	NOUN
fcis-13147	91	20	on	on	ADP
fcis-13147	91	21	weibo	weibo	NOUN
fcis-13147	91	22	datasets	dataset	NOUN
fcis-13147	91	23	to	to	PART
fcis-13147	91	24	extract	extract	VERB
fcis-13147	91	25	candidate	candidate	NOUN
fcis-13147	91	26	strings	string	NOUN
fcis-13147	91	27	and	and	CCONJ
fcis-13147	91	28	filter	filter	NOUN
fcis-13147	91	29	strings	string	NOUN
fcis-13147	91	30	using	use	VERB
fcis-13147	91	31	statistical	statistical	ADJ
fcis-13147	91	32	features	feature	NOUN
fcis-13147	91	33	.	.	PUNCT
fcis-13147	92	1	the	the	DET
fcis-13147	92	2	filtering	filter	VERB
fcis-13147	92	3	method	method	NOUN
fcis-13147	92	4	considers	consider	VERB
fcis-13147	92	5	the	the	DET
fcis-13147	92	6	degree	degree	NOUN
fcis-13147	92	7	of	of	ADP
fcis-13147	92	8	internal	internal	ADJ
fcis-13147	92	9	cohesion	cohesion	NOUN
fcis-13147	92	10	of	of	ADP
fcis-13147	92	11	words	word	NOUN
fcis-13147	92	12	and	and	CCONJ
fcis-13147	92	13	the	the	DET
fcis-13147	92	14	variability	variability	NOUN
fcis-13147	92	15	of	of	ADP
fcis-13147	92	16	their	their	PRON
fcis-13147	92	17	context	context	NOUN
fcis-13147	92	18	.	.	PUNCT
fcis-13147	93	1	the	the	DET
fcis-13147	93	2	overlapping	overlap	VERB
fcis-13147	93	3	string	string	NOUN
fcis-13147	93	4	filtering	filtering	NOUN
fcis-13147	93	5	mechanism	mechanism	NOUN
fcis-13147	93	6	,	,	PUNCT
fcis-13147	93	7	mutual	mutual	ADJ
fcis-13147	93	8	information	information	NOUN
fcis-13147	93	9	,	,	PUNCT
fcis-13147	93	10	and	and	CCONJ
fcis-13147	93	11	adjacency	adjacency	PROPN
fcis-13147	93	12	information	information	NOUN
fcis-13147	93	13	entropy	entropy	PROPN
fcis-13147	93	14	are	be	AUX
fcis-13147	93	15	effectively	effectively	ADV
fcis-13147	93	16	used	use	VERB
fcis-13147	93	17	for	for	ADP
fcis-13147	93	18	weibo	weibo	ADJ
fcis-13147	93	19	new	new	ADJ
fcis-13147	93	20	word	word	NOUN
fcis-13147	93	21	recognition	recognition	NOUN
fcis-13147	93	22	.	.	PUNCT
fcis-13147	94	1	after	after	ADP
fcis-13147	94	2	experimental	experimental	ADJ
fcis-13147	94	3	verification	verification	NOUN
fcis-13147	94	4	,	,	PUNCT
fcis-13147	94	5	good	good	ADJ
fcis-13147	94	6	results	result	NOUN
fcis-13147	94	7	have	have	AUX
fcis-13147	94	8	been	be	AUX
fcis-13147	94	9	achieved	achieve	VERB
fcis-13147	94	10	in	in	ADP
fcis-13147	94	11	the	the	DET
fcis-13147	94	12	accuracy	accuracy	NOUN
fcis-13147	94	13	,	,	PUNCT
fcis-13147	94	14	recall	recall	NOUN
fcis-13147	94	15	,	,	PUNCT
fcis-13147	94	16	and	and	CCONJ
fcis-13147	94	17	f	f	X
fcis-13147	94	18	-	-	PUNCT
fcis-13147	94	19	value	value	NOUN
fcis-13147	94	20	of	of	ADP
fcis-13147	94	21	weibo	weibo	ADJ
fcis-13147	94	22	new	new	ADJ
fcis-13147	94	23	word	word	NOUN
fcis-13147	94	24	recognition	recognition	NOUN
fcis-13147	94	25	.	.	PUNCT
fcis-13147	95	1	acknowledgments	acknowledgment	NOUN
fcis-13147	95	2	fund	fund	NOUN
fcis-13147	95	3	projects	project	NOUN
fcis-13147	95	4	:	:	PUNCT
fcis-13147	95	5	research	research	NOUN
fcis-13147	95	6	project	project	NOUN
fcis-13147	95	7	of	of	ADP
fcis-13147	95	8	inner	inner	ADJ
fcis-13147	95	9	mongolia	mongolia	PROPN
fcis-13147	95	10	higher	high	ADJ
fcis-13147	95	11	education	education	NOUN
fcis-13147	95	12	institutions	institution	NOUN
fcis-13147	95	13	(	(	PUNCT
fcis-13147	95	14	njzy21549	njzy21549	PROPN
fcis-13147	95	15	)	)	PUNCT
fcis-13147	95	16	.	.	PUNCT
fcis-13147	96	1	references	reference	NOUN
fcis-13147	96	2	[	[	X
fcis-13147	96	3	1	1	NUM
fcis-13147	96	4	]	]	X
fcis-13147	96	5	fu	fu	PROPN
fcis-13147	96	6	lina	lina	PROPN
fcis-13147	96	7	,	,	PUNCT
fcis-13147	96	8	xiao	xiao	PROPN
fcis-13147	97	1	he	he	PRON
fcis-13147	97	2	,	,	PUNCT
fcis-13147	97	3	ji	ji	PROPN
fcis-13147	97	4	donghong	donghong	PROPN
fcis-13147	97	5	.	.	PUNCT
fcis-13147	98	1	new	new	ADJ
fcis-13147	98	2	emotional	emotional	ADJ
fcis-13147	98	3	word	word	NOUN
fcis-13147	98	4	recognition	recognition	NOUN
fcis-13147	98	5	based	base	VERB
fcis-13147	98	6	on	on	ADP
fcis-13147	98	7	oc	oc	ADJ
fcis-13147	98	8	-	-	ADJ
fcis-13147	98	9	svm	svm	ADJ
fcis-13147	98	10	[	[	X
fcis-13147	98	11	j	j	X
fcis-13147	98	12	]	]	X
fcis-13147	98	13	,	,	PUNCT
fcis-13147	98	14	computer	computer	NOUN
fcis-13147	98	15	application	application	NOUN
fcis-13147	98	16	research	research	NOUN
fcis-13147	98	17	,	,	PUNCT
fcis-13147	98	18	2015,71946	2015,71946	PROPN
fcis-13147	98	19	-	-	SYM
fcis-13147	98	20	1048	1048	NUM
fcis-13147	98	21	.	.	PUNCT
fcis-13147	99	1	[	[	X
fcis-13147	99	2	2	2	NUM
fcis-13147	99	3	]	]	X
fcis-13147	99	4	han	han	PROPN
fcis-13147	99	5	xiulong	xiulong	PROPN
fcis-13147	99	6	.	.	PUNCT
fcis-13147	100	1	research	research	NOUN
fcis-13147	100	2	on	on	ADP
fcis-13147	100	3	weibo	weibo	PROPN
fcis-13147	100	4	new	new	ADJ
fcis-13147	100	5	word	word	NOUN
fcis-13147	100	6	discovery	discovery	NOUN
fcis-13147	100	7	based	base	VERB
fcis-13147	100	8	on	on	ADP
fcis-13147	100	9	svm	svm	ADJ
fcis-13147	100	10	and	and	CCONJ
fcis-13147	100	11	feature	feature	NOUN
fcis-13147	100	12	correlation	correlation	NOUN
fcis-13147	100	13	[	[	X
fcis-13147	100	14	j	j	X
fcis-13147	100	15	]	]	X
fcis-13147	100	16	,	,	PUNCT
fcis-13147	100	17	computer	computer	NOUN
fcis-13147	100	18	knowledge	knowledge	NOUN
fcis-13147	100	19	and	and	CCONJ
fcis-13147	100	20	technology	technology	NOUN
fcis-13147	100	21	,	,	PUNCT
fcis-13147	100	22	2018,14,66	2018,14,66	PROPN
fcis-13147	100	23	-	-	SYM
fcis-13147	100	24	69	69	NUM
fcis-13147	100	25	.	.	PUNCT
fcis-13147	101	1	[	[	X
fcis-13147	101	2	3	3	X
fcis-13147	101	3	]	]	X
fcis-13147	101	4	li	li	PROPN
fcis-13147	101	5	chengcheng	chengcheng	PROPN
fcis-13147	101	6	,	,	PUNCT
fcis-13147	101	7	xu	xu	PROPN
fcis-13147	101	8	yuanfang	yuanfang	PROPN
fcis-13147	101	9	,	,	PUNCT
fcis-13147	101	10	based	base	VERB
fcis-13147	101	11	on	on	ADP
fcis-13147	101	12	support	support	NOUN
fcis-13147	101	13	vector	vector	NOUN
fcis-13147	101	14	and	and	CCONJ
fcis-13147	101	15	word	word	NOUN
fcis-13147	101	16	features	feature	VERB
fcis-13147	101	17	new	new	ADJ
fcis-13147	101	18	word	word	NOUN
fcis-13147	101	19	discovery	discovery	NOUN
fcis-13147	101	20	research	research	NOUN
fcis-13147	101	21	,	,	PUNCT
fcis-13147	101	22	proceedings	proceeding	NOUN
fcis-13147	101	23	of	of	ADP
fcis-13147	101	24	2012	2012	NUM
fcis-13147	101	25	ieee	ieee	NOUN
fcis-13147	101	26	international	international	ADJ
fcis-13147	101	27	conference	conference	NOUN
fcis-13147	101	28	on	on	ADP
fcis-13147	101	29	computer	computer	NOUN
fcis-13147	101	30	science	science	NOUN
fcis-13147	101	31	and	and	CCONJ
fcis-13147	101	32	automation	automation	NOUN
fcis-13147	101	33	engineering	engineering	NOUN
fcis-13147	101	34	,	,	PUNCT
fcis-13147	101	35	2012,166	2012,166	NUM
fcis-13147	101	36	-	-	SYM
fcis-13147	101	37	168	168	NUM
fcis-13147	101	38	.	.	PUNCT
fcis-13147	102	1	[	[	X
fcis-13147	102	2	4	4	X
fcis-13147	102	3	]	]	X
fcis-13147	102	4	feng	feng	PROPN
fcis-13147	102	5	yong	yong	PROPN
fcis-13147	102	6	,	,	PUNCT
fcis-13147	102	7	li	li	PROPN
fcis-13147	102	8	hua	hua	PROPN
fcis-13147	102	9	.	.	PROPN
fcis-13147	102	10	based	base	VERB
fcis-13147	102	11	on	on	ADP
fcis-13147	102	12	adaptive	adaptive	ADJ
fcis-13147	102	13	chinese	chinese	ADJ
fcis-13147	102	14	word	word	NOUN
fcis-13147	102	15	segmentation	segmentation	NOUN
fcis-13147	102	16	and	and	CCONJ
fcis-13147	102	17	approximation	approximation	NOUN
fcis-13147	102	18	of	of	ADP
fcis-13147	102	19	svm	svm	ADJ
fcis-13147	102	20	text	text	NOUN
fcis-13147	102	21	classification	classification	NOUN
fcis-13147	102	22	algorithm	algorithm	NOUN
fcis-13147	103	1	[	[	X
fcis-13147	103	2	j	j	X
fcis-13147	103	3	]	]	X
fcis-13147	103	4	,	,	PUNCT
fcis-13147	103	5	computer	computer	NOUN
fcis-13147	103	6	science	science	NOUN
fcis-13147	103	7	,	,	PUNCT
fcis-13147	103	8	volume	volume	NOUN
fcis-13147	103	9	thirty	thirty	NUM
fcis-13147	103	10	-	-	PUNCT
fcis-13147	103	11	seventh	seventh	ADJ
fcis-13147	103	12	,	,	PUNCT
fcis-13147	103	13	2010	2010	NUM
fcis-13147	103	14	,	,	PUNCT
fcis-13147	103	15	first	first	ADV
fcis-13147	103	16	,	,	PUNCT
fcis-13147	103	17	251	251	NUM
fcis-13147	103	18	-	-	SYM
fcis-13147	103	19	254	254	NUM
fcis-13147	103	20	,	,	PUNCT
fcis-13147	103	21	293	293	NUM
fcis-13147	103	22	.	.	PUNCT
fcis-13147	104	1	[	[	X
fcis-13147	104	2	5	5	NUM
fcis-13147	104	3	]	]	X
fcis-13147	104	4	qian	qian	PROPN
fcis-13147	104	5	qiuyin	qiuyin	PROPN
fcis-13147	104	6	,	,	PUNCT
fcis-13147	104	7	zhang	zhang	PROPN
fcis-13147	104	8	zhenglan	zhenglan	PROPN
fcis-13147	104	9	.	.	PUNCT
fcis-13147	105	1	a	a	DET
fcis-13147	105	2	method	method	NOUN
fcis-13147	105	3	based	base	VERB
fcis-13147	105	4	on	on	ADP
fcis-13147	105	5	multiple	multiple	ADJ
fcis-13147	105	6	svm	svm	ADJ
fcis-13147	105	7	classification	classification	NOUN
fcis-13147	105	8	method	method	NOUN
fcis-13147	105	9	of	of	ADP
fcis-13147	105	10	relevance	relevance	NOUN
fcis-13147	105	11	feedback	feedback	NOUN
fcis-13147	105	12	image	image	NOUN
fcis-13147	105	13	retrieval	retrieval	NOUN
fcis-13147	106	1	[	[	X
fcis-13147	106	2	j	j	X
fcis-13147	106	3	]	]	X
fcis-13147	106	4	,	,	PUNCT
fcis-13147	106	5	computer	computer	NOUN
fcis-13147	106	6	technology	technology	NOUN
fcis-13147	106	7	and	and	CCONJ
fcis-13147	106	8	development	development	NOUN
fcis-13147	106	9	,	,	PUNCT
fcis-13147	106	10	2009	2009	NUM
fcis-13147	106	11	,	,	PUNCT
fcis-13147	106	12	volume	volume	NOUN
fcis-13147	106	13	nineteenth	nineteenth	NOUN
fcis-13147	106	14	,	,	PUNCT
fcis-13147	106	15	issue	issue	NOUN
fcis-13147	106	16	eighth	eighth	ADJ
fcis-13147	106	17	,	,	PUNCT
fcis-13147	106	18	66	66	NUM
fcis-13147	106	19	-	-	SYM
fcis-13147	106	20	69	69	NUM
fcis-13147	106	21	.	.	PUNCT
fcis-13147	107	1	[	[	X
fcis-13147	107	2	6	6	NUM
fcis-13147	107	3	]	]	SYM
fcis-13147	107	4	su	su	PROPN
fcis-13147	107	5	ning	ning	PROPN
fcis-13147	107	6	.	.	PUNCT
fcis-13147	108	1	based	base	VERB
fcis-13147	108	2	on	on	ADP
fcis-13147	108	3	word	word	NOUN
fcis-13147	108	4	features	feature	NOUN
fcis-13147	108	5	and	and	CCONJ
fcis-13147	108	6	search	search	NOUN
fcis-13147	108	7	engine	engine	NOUN
fcis-13147	108	8	for	for	ADP
fcis-13147	108	9	chinese	chinese	ADJ
fcis-13147	108	10	new	new	ADJ
fcis-13147	108	11	word	word	NOUN
fcis-13147	108	12	identification	identification	NOUN
fcis-13147	108	13	[	[	X
fcis-13147	108	14	j	j	X
fcis-13147	108	15	]	]	X
fcis-13147	108	16	,	,	PUNCT
fcis-13147	108	17	journal	journal	NOUN
fcis-13147	108	18	of	of	ADP
fcis-13147	108	19	wuhan	wuhan	PROPN
fcis-13147	108	20	university	university	PROPN
fcis-13147	108	21	,	,	PUNCT
fcis-13147	108	22	2010	2010	NUM
fcis-13147	108	23	,	,	PUNCT
fcis-13147	108	24	volume	volume	NOUN
fcis-13147	108	25	fifty	fifty	NUM
fcis-13147	108	26	-	-	PUNCT
fcis-13147	108	27	sixth	sixth	ADJ
fcis-13147	108	28	,	,	PUNCT
fcis-13147	108	29	issue	issue	NOUN
fcis-13147	108	30	sixth	sixth	ADJ
fcis-13147	108	31	,	,	PUNCT
fcis-13147	108	32	704	704	NUM
fcis-13147	108	33	-	-	SYM
fcis-13147	108	34	710	710	NUM
fcis-13147	108	35	.	.	PUNCT
fcis-13147	109	1	[	[	X
fcis-13147	109	2	7	7	X
fcis-13147	109	3	]	]	X
fcis-13147	109	4	huang	huang	PROPN
fcis-13147	109	5	xiuli	xiuli	PROPN
fcis-13147	109	6	,	,	PUNCT
fcis-13147	109	7	wang	wang	PROPN
fcis-13147	109	8	yu.svm	yu.svm	PROPN
fcis-13147	109	9	in	in	ADP
fcis-13147	109	10	unbalanced	unbalanced	ADJ
fcis-13147	109	11	data	datum	NOUN
fcis-13147	109	12	set	set	VERB
fcis-13147	109	13	[	[	X
fcis-13147	109	14	j	j	X
fcis-13147	109	15	]	]	X
fcis-13147	109	16	,	,	PUNCT
fcis-13147	109	17	computer	computer	NOUN
fcis-13147	109	18	technology	technology	NOUN
fcis-13147	109	19	and	and	CCONJ
fcis-13147	109	20	development	development	NOUN
fcis-13147	109	21	,	,	PUNCT
fcis-13147	109	22	2009	2009	NUM
fcis-13147	109	23	,	,	PUNCT
fcis-13147	109	24	volume	volume	NOUN
fcis-13147	109	25	nineteenth	nineteenth	NOUN
fcis-13147	109	26	,	,	PUNCT
fcis-13147	109	27	issue	issue	NOUN
fcis-13147	109	28	sixth	sixth	ADJ
fcis-13147	109	29	,	,	PUNCT
fcis-13147	109	30	190	190	NUM
fcis-13147	109	31	-	-	SYM
fcis-13147	109	32	193	193	NUM
fcis-13147	109	33	.	.	PUNCT
fcis-13147	110	1	[	[	X
fcis-13147	110	2	8	8	NUM
fcis-13147	110	3	]	]	X
fcis-13147	110	4	jian	jian	PROPN
fcis-13147	110	5	-	-	PUNCT
fcis-13147	110	6	yun	yun	PROPN
fcis-13147	110	7	nie	nie	PROPN
fcis-13147	110	8	,	,	PUNCT
fcis-13147	110	9	unknown	unknown	ADJ
fcis-13147	110	10	word	word	NOUN
fcis-13147	110	11	detection	detection	NOUN
fcis-13147	110	12	and	and	CCONJ
fcis-13147	110	13	segmentation	segmentation	NOUN
fcis-13147	110	14	of	of	ADP
fcis-13147	110	15	chinese	chinese	PROPN
fcis-13147	110	16	using	use	VERB
fcis-13147	110	17	statistical	statistical	ADJ
fcis-13147	110	18	and	and	CCONJ
fcis-13147	110	19	heuristic	heuristic	ADJ
fcis-13147	110	20	knowledge	knowledge	NOUN
fcis-13147	110	21	.	.	PUNCT
fcis-13147	111	1	communications	communication	NOUN
fcis-13147	111	2	of	of	ADP
fcis-13147	111	3	colips,2008,5(i&2),47	colips,2008,5(i&2),47	NOUN
fcis-13147	111	4	-	-	SYM
fcis-13147	111	5	57	57	NUM
fcis-13147	111	6	.	.	PUNCT