id	sid	tid	token	lemma	pos
ajst-19340	1	1	academic	academic	ADJ
ajst-19340	1	2	journal	journal	NOUN
ajst-19340	1	3	of	of	ADP
ajst-19340	1	4	science	science	NOUN
ajst-19340	1	5	and	and	CCONJ
ajst-19340	1	6	technology	technology	NOUN
ajst-19340	1	7	issn	issn	NOUN
ajst-19340	1	8	:	:	PUNCT
ajst-19340	1	9	2771	2771	NUM
ajst-19340	1	10	-	-	SYM
ajst-19340	1	11	3032	3032	NUM
ajst-19340	1	12	|	|	NOUN
ajst-19340	1	13	vol	vol	NOUN
ajst-19340	1	14	.	.	PROPN
ajst-19340	2	1	10	10	NUM
ajst-19340	2	2	,	,	PUNCT
ajst-19340	2	3	no	no	INTJ
ajst-19340	2	4	.	.	NOUN
ajst-19340	2	5	1	1	NUM
ajst-19340	2	6	,	,	PUNCT
ajst-19340	2	7	2024	2024	NUM
ajst-19340	2	8	437	437	NUM
ajst-19340	2	9	part	part	NOUN
ajst-19340	2	10	-	-	PUNCT
ajst-19340	2	11	of	of	ADP
ajst-19340	2	12	-	-	PUNCT
ajst-19340	2	13	speech	speech	NOUN
ajst-19340	2	14	tagging	tagging	NOUN
ajst-19340	2	15	for	for	ADP
ajst-19340	2	16	traditional	traditional	ADJ
ajst-19340	2	17	chinese	chinese	ADJ
ajst-19340	2	18	medicine	medicine	NOUN
ajst-19340	2	19	clinical	clinical	ADJ
ajst-19340	2	20	pulse	pulse	NOUN
ajst-19340	2	21	feeling	feeling	NOUN
ajst-19340	2	22	and	and	CCONJ
ajst-19340	2	23	palpation	palpation	NOUN
ajst-19340	2	24	information	information	NOUN
ajst-19340	2	25	based	base	VERB
ajst-19340	2	26	on	on	ADP
ajst-19340	2	27	hidden	hidden	ADJ
ajst-19340	2	28	markov	markov	NOUN
ajst-19340	2	29	model	model	NOUN
ajst-19340	2	30	prompttuning	prompttune	VERB
ajst-19340	2	31	linfeng	linfeng	PROPN
ajst-19340	2	32	dai	dai	PROPN
ajst-19340	2	33	school	school	PROPN
ajst-19340	2	34	of	of	ADP
ajst-19340	2	35	software	software	NOUN
ajst-19340	2	36	engineering	engineering	PROPN
ajst-19340	2	37	,	,	PUNCT
ajst-19340	2	38	chengdu	chengdu	PROPN
ajst-19340	2	39	university	university	PROPN
ajst-19340	2	40	of	of	ADP
ajst-19340	2	41	information	information	NOUN
ajst-19340	2	42	technology	technology	PROPN
ajst-19340	2	43	,	,	PUNCT
ajst-19340	2	44	chengdu	chengdu	PROPN
ajst-19340	2	45	610225	610225	NUM
ajst-19340	2	46	,	,	PUNCT
ajst-19340	2	47	china	china	PROPN
ajst-19340	2	48	abstract	abstract	PROPN
ajst-19340	2	49	:	:	PUNCT
ajst-19340	2	50	this	this	DET
ajst-19340	2	51	paper	paper	NOUN
ajst-19340	2	52	proposes	propose	VERB
ajst-19340	2	53	a	a	DET
ajst-19340	2	54	traditional	traditional	ADJ
ajst-19340	2	55	chinese	chinese	ADJ
ajst-19340	2	56	medicine	medicine	NOUN
ajst-19340	2	57	clinical	clinical	ADJ
ajst-19340	2	58	pulse	pulse	NOUN
ajst-19340	2	59	feeling	feeling	NOUN
ajst-19340	2	60	and	and	CCONJ
ajst-19340	2	61	palpation	palpation	NOUN
ajst-19340	2	62	information	information	NOUN
ajst-19340	2	63	part	part	NOUN
ajst-19340	2	64	-	-	PUNCT
ajst-19340	2	65	of	of	ADP
ajst-19340	2	66	-	-	PUNCT
ajst-19340	2	67	speech	speech	NOUN
ajst-19340	2	68	tagging	tagging	NOUN
ajst-19340	2	69	method	method	NOUN
ajst-19340	2	70	based	base	VERB
ajst-19340	2	71	on	on	ADP
ajst-19340	2	72	hidden	hidden	ADJ
ajst-19340	2	73	markov	markov	NOUN
ajst-19340	2	74	model	model	NOUN
ajst-19340	2	75	prompt	prompt	NOUN
ajst-19340	2	76	-	-	PUNCT
ajst-19340	2	77	tuning	tuning	NOUN
ajst-19340	2	78	,	,	PUNCT
ajst-19340	2	79	aimed	aim	VERB
ajst-19340	2	80	at	at	ADP
ajst-19340	2	81	addressing	address	VERB
ajst-19340	2	82	the	the	DET
ajst-19340	2	83	challenges	challenge	NOUN
ajst-19340	2	84	of	of	ADP
ajst-19340	2	85	scarce	scarce	ADJ
ajst-19340	2	86	annotated	annotate	VERB
ajst-19340	2	87	samples	sample	NOUN
ajst-19340	2	88	and	and	CCONJ
ajst-19340	2	89	the	the	DET
ajst-19340	2	90	issue	issue	NOUN
ajst-19340	2	91	of	of	ADP
ajst-19340	2	92	words	word	NOUN
ajst-19340	2	93	with	with	ADP
ajst-19340	2	94	multiple	multiple	ADJ
ajst-19340	2	95	parts	part	NOUN
ajst-19340	2	96	of	of	ADP
ajst-19340	2	97	speech	speech	NOUN
ajst-19340	2	98	in	in	ADP
ajst-19340	2	99	traditional	traditional	ADJ
ajst-19340	2	100	chinese	chinese	ADJ
ajst-19340	2	101	medicine	medicine	NOUN
ajst-19340	2	102	clinical	clinical	ADJ
ajst-19340	2	103	pulse	pulse	NOUN
ajst-19340	2	104	feeling	feeling	NOUN
ajst-19340	2	105	and	and	CCONJ
ajst-19340	2	106	palpation	palpation	NOUN
ajst-19340	2	107	information	information	NOUN
ajst-19340	2	108	part	part	NOUN
ajst-19340	2	109	-	-	PUNCT
ajst-19340	2	110	of	of	ADP
ajst-19340	2	111	-	-	PUNCT
ajst-19340	2	112	speech	speech	NOUN
ajst-19340	2	113	tagging	tagging	NOUN
ajst-19340	2	114	tasks	task	NOUN
ajst-19340	2	115	.	.	PUNCT
ajst-19340	3	1	by	by	ADP
ajst-19340	3	2	designing	design	VERB
ajst-19340	3	3	specific	specific	ADJ
ajst-19340	3	4	prompt	prompt	ADJ
ajst-19340	3	5	templates	template	NOUN
ajst-19340	3	6	,	,	PUNCT
ajst-19340	3	7	this	this	DET
ajst-19340	3	8	method	method	NOUN
ajst-19340	3	9	transforms	transform	VERB
ajst-19340	3	10	the	the	DET
ajst-19340	3	11	downstream	downstream	ADJ
ajst-19340	3	12	task	task	NOUN
ajst-19340	3	13	into	into	ADP
ajst-19340	3	14	a	a	DET
ajst-19340	3	15	cloze	cloze	NOUN
ajst-19340	3	16	task	task	NOUN
ajst-19340	3	17	for	for	ADP
ajst-19340	3	18	the	the	DET
ajst-19340	3	19	pretrained	pretraine	VERB
ajst-19340	3	20	language	language	NOUN
ajst-19340	3	21	model	model	NOUN
ajst-19340	3	22	during	during	ADP
ajst-19340	3	23	its	its	PRON
ajst-19340	3	24	pretraining	pretraine	VERB
ajst-19340	3	25	phase	phase	NOUN
ajst-19340	3	26	,	,	PUNCT
ajst-19340	3	27	thereby	thereby	ADV
ajst-19340	3	28	bridging	bridge	VERB
ajst-19340	3	29	the	the	DET
ajst-19340	3	30	gap	gap	NOUN
ajst-19340	3	31	between	between	ADP
ajst-19340	3	32	pretraining	pretraine	VERB
ajst-19340	3	33	and	and	CCONJ
ajst-19340	3	34	fine	fine	ADV
ajst-19340	3	35	-	-	PUNCT
ajst-19340	3	36	tuning	tune	VERB
ajst-19340	3	37	objectives	objective	NOUN
ajst-19340	3	38	and	and	CCONJ
ajst-19340	3	39	enhancing	enhance	VERB
ajst-19340	3	40	the	the	DET
ajst-19340	3	41	knowledge	knowledge	NOUN
ajst-19340	3	42	representation	representation	NOUN
ajst-19340	3	43	ability	ability	NOUN
ajst-19340	3	44	of	of	ADP
ajst-19340	3	45	the	the	DET
ajst-19340	3	46	pretrained	pretraine	VERB
ajst-19340	3	47	language	language	NOUN
ajst-19340	3	48	model	model	NOUN
ajst-19340	3	49	for	for	ADP
ajst-19340	3	50	downstream	downstream	ADJ
ajst-19340	3	51	tasks	task	NOUN
ajst-19340	3	52	.	.	PUNCT
ajst-19340	4	1	this	this	DET
ajst-19340	4	2	approach	approach	NOUN
ajst-19340	4	3	also	also	ADV
ajst-19340	4	4	integrates	integrate	VERB
ajst-19340	4	5	the	the	DET
ajst-19340	4	6	part	part	NOUN
ajst-19340	4	7	-	-	PUNCT
ajst-19340	4	8	of	of	ADP
ajst-19340	4	9	-	-	PUNCT
ajst-19340	4	10	speech	speech	NOUN
ajst-19340	4	11	information	information	NOUN
ajst-19340	4	12	of	of	ADP
ajst-19340	4	13	adjacent	adjacent	ADJ
ajst-19340	4	14	words	word	NOUN
ajst-19340	4	15	into	into	ADP
ajst-19340	4	16	the	the	DET
ajst-19340	4	17	prompt	prompt	ADJ
ajst-19340	4	18	templates	template	NOUN
ajst-19340	4	19	and	and	CCONJ
ajst-19340	4	20	uses	use	VERB
ajst-19340	4	21	the	the	DET
ajst-19340	4	22	hidden	hide	VERB
ajst-19340	4	23	markov	markov	NOUN
ajst-19340	4	24	model	model	NOUN
ajst-19340	4	25	to	to	PART
ajst-19340	4	26	model	model	VERB
ajst-19340	4	27	the	the	DET
ajst-19340	4	28	dependencies	dependency	NOUN
ajst-19340	4	29	between	between	ADP
ajst-19340	4	30	adjacent	adjacent	ADJ
ajst-19340	4	31	words	word	NOUN
ajst-19340	4	32	'	'	PART
ajst-19340	4	33	parts	part	NOUN
ajst-19340	4	34	of	of	ADP
ajst-19340	4	35	speech	speech	NOUN
ajst-19340	4	36	,	,	PUNCT
ajst-19340	4	37	effectively	effectively	ADV
ajst-19340	4	38	improving	improve	VERB
ajst-19340	4	39	the	the	DET
ajst-19340	4	40	overall	overall	ADJ
ajst-19340	4	41	performance	performance	NOUN
ajst-19340	4	42	of	of	ADP
ajst-19340	4	43	the	the	DET
ajst-19340	4	44	model	model	NOUN
ajst-19340	4	45	in	in	ADP
ajst-19340	4	46	the	the	DET
ajst-19340	4	47	traditional	traditional	ADJ
ajst-19340	4	48	chinese	chinese	ADJ
ajst-19340	4	49	medicine	medicine	NOUN
ajst-19340	4	50	clinical	clinical	ADJ
ajst-19340	4	51	pulse	pulse	NOUN
ajst-19340	4	52	feeling	feeling	NOUN
ajst-19340	4	53	and	and	CCONJ
ajst-19340	4	54	palpation	palpation	NOUN
ajst-19340	4	55	information	information	NOUN
ajst-19340	4	56	part	part	NOUN
ajst-19340	4	57	-	-	PUNCT
ajst-19340	4	58	of	of	ADP
ajst-19340	4	59	-	-	PUNCT
ajst-19340	4	60	speech	speech	NOUN
ajst-19340	4	61	tagging	tagging	NOUN
ajst-19340	4	62	task	task	NOUN
ajst-19340	4	63	,	,	PUNCT
ajst-19340	4	64	particularly	particularly	ADV
ajst-19340	4	65	in	in	ADP
ajst-19340	4	66	identifying	identify	VERB
ajst-19340	4	67	words	word	NOUN
ajst-19340	4	68	with	with	ADP
ajst-19340	4	69	multiple	multiple	ADJ
ajst-19340	4	70	parts	part	NOUN
ajst-19340	4	71	of	of	ADP
ajst-19340	4	72	speech	speech	NOUN
ajst-19340	4	73	.	.	PUNCT
ajst-19340	5	1	furthermore	furthermore	ADV
ajst-19340	5	2	,	,	PUNCT
ajst-19340	5	3	empirical	empirical	ADJ
ajst-19340	5	4	evidence	evidence	NOUN
ajst-19340	5	5	demonstrates	demonstrate	VERB
ajst-19340	5	6	the	the	DET
ajst-19340	5	7	outstanding	outstanding	ADJ
ajst-19340	5	8	performance	performance	NOUN
ajst-19340	5	9	of	of	ADP
ajst-19340	5	10	the	the	DET
ajst-19340	5	11	proposed	propose	VERB
ajst-19340	5	12	method	method	NOUN
ajst-19340	5	13	in	in	ADP
ajst-19340	5	14	this	this	DET
ajst-19340	5	15	part	part	NOUN
ajst-19340	5	16	-	-	PUNCT
ajst-19340	5	17	of	of	ADP
ajst-19340	5	18	-	-	PUNCT
ajst-19340	5	19	speech	speech	NOUN
ajst-19340	5	20	tagging	tagging	NOUN
ajst-19340	5	21	task	task	NOUN
ajst-19340	5	22	,	,	PUNCT
ajst-19340	5	23	achieving	achieve	VERB
ajst-19340	5	24	an	an	DET
ajst-19340	5	25	f1	f1	ADJ
ajst-19340	5	26	score	score	NOUN
ajst-19340	5	27	of	of	ADP
ajst-19340	5	28	up	up	ADP
ajst-19340	5	29	to	to	PART
ajst-19340	5	30	85.52	85.52	NUM
ajst-19340	5	31	%	%	NOUN
ajst-19340	5	32	.	.	PUNCT
ajst-19340	6	1	keywords	keyword	NOUN
ajst-19340	6	2	:	:	PUNCT
ajst-19340	6	3	prompt	prompt	ADJ
ajst-19340	6	4	tuning	tuning	NOUN
ajst-19340	6	5	,	,	PUNCT
ajst-19340	6	6	part	part	NOUN
ajst-19340	6	7	-	-	PUNCT
ajst-19340	6	8	of	of	ADP
ajst-19340	6	9	-	-	PUNCT
ajst-19340	6	10	speech	speech	NOUN
ajst-19340	6	11	tagging	tagging	NOUN
ajst-19340	6	12	,	,	PUNCT
ajst-19340	6	13	hidden	hide	VERB
ajst-19340	6	14	markov	markov	NOUN
ajst-19340	6	15	model	model	NOUN
ajst-19340	6	16	,	,	PUNCT
ajst-19340	6	17	pre	pre	ADJ
ajst-19340	6	18	-	-	ADJ
ajst-19340	6	19	training	training	ADJ
ajst-19340	6	20	language	language	NOUN
ajst-19340	6	21	model	model	NOUN
ajst-19340	6	22	,	,	PUNCT
ajst-19340	6	23	traditional	traditional	ADJ
ajst-19340	6	24	chinese	chinese	ADJ
ajst-19340	6	25	medicine	medicine	NOUN
ajst-19340	6	26	clinical	clinical	ADJ
ajst-19340	6	27	pulse	pulse	NOUN
ajst-19340	6	28	feeling	feeling	NOUN
ajst-19340	6	29	and	and	CCONJ
ajst-19340	6	30	palpation	palpation	NOUN
ajst-19340	6	31	information	information	NOUN
ajst-19340	6	32	.	.	PUNCT
ajst-19340	7	1	1	1	X
ajst-19340	7	2	.	.	X
ajst-19340	7	3	introduction	introduction	NOUN
ajst-19340	7	4	in	in	ADP
ajst-19340	7	5	traditional	traditional	ADJ
ajst-19340	7	6	chinese	chinese	ADJ
ajst-19340	7	7	medicine	medicine	NOUN
ajst-19340	7	8	(	(	PUNCT
ajst-19340	7	9	tcm	tcm	PROPN
ajst-19340	7	10	)	)	PUNCT
ajst-19340	7	11	,	,	PUNCT
ajst-19340	7	12	doctors	doctor	NOUN
ajst-19340	7	13	synthesize	synthesize	VERB
ajst-19340	7	14	and	and	CCONJ
ajst-19340	7	15	analyze	analyze	VERB
ajst-19340	7	16	information	information	NOUN
ajst-19340	7	17	from	from	ADP
ajst-19340	7	18	the	the	DET
ajst-19340	7	19	four	four	NUM
ajst-19340	7	20	diagnostic	diagnostic	ADJ
ajst-19340	7	21	methods	method	NOUN
ajst-19340	7	22	(	(	PUNCT
ajst-19340	7	23	inspection	inspection	NOUN
ajst-19340	7	24	,	,	PUNCT
ajst-19340	7	25	listening	listening	NOUN
ajst-19340	7	26	and	and	CCONJ
ajst-19340	7	27	smelling	smelling	ADJ
ajst-19340	7	28	,	,	PUNCT
ajst-19340	7	29	inquiring	inquire	VERB
ajst-19340	7	30	,	,	PUNCT
ajst-19340	7	31	pulse	pulse	NOUN
ajst-19340	7	32	feeling	feeling	NOUN
ajst-19340	7	33	and	and	CCONJ
ajst-19340	7	34	palpation	palpation	NOUN
ajst-19340	7	35	)	)	PUNCT
ajst-19340	7	36	to	to	PART
ajst-19340	7	37	identify	identify	VERB
ajst-19340	7	38	the	the	DET
ajst-19340	7	39	cause	cause	NOUN
ajst-19340	7	40	,	,	PUNCT
ajst-19340	7	41	location	location	NOUN
ajst-19340	7	42	,	,	PUNCT
ajst-19340	7	43	nature	nature	NOUN
ajst-19340	7	44	,	,	PUNCT
ajst-19340	7	45	and	and	CCONJ
ajst-19340	7	46	development	development	NOUN
ajst-19340	7	47	trend	trend	NOUN
ajst-19340	7	48	of	of	ADP
ajst-19340	7	49	a	a	DET
ajst-19340	7	50	patient	patient	NOUN
ajst-19340	7	51	's	's	PART
ajst-19340	7	52	illness	illness	NOUN
ajst-19340	7	53	,	,	PUNCT
ajst-19340	7	54	and	and	CCONJ
ajst-19340	7	55	to	to	PART
ajst-19340	7	56	determine	determine	VERB
ajst-19340	7	57	the	the	DET
ajst-19340	7	58	appropriate	appropriate	ADJ
ajst-19340	7	59	treatment	treatment	NOUN
ajst-19340	7	60	method[1	method[1	NOUN
ajst-19340	7	61	]	]	PUNCT
ajst-19340	7	62	.	.	PUNCT
ajst-19340	8	1	among	among	ADP
ajst-19340	8	2	these	these	PRON
ajst-19340	8	3	,	,	PUNCT
ajst-19340	8	4	pulse	pulse	NOUN
ajst-19340	8	5	feeling	feeling	NOUN
ajst-19340	8	6	and	and	CCONJ
ajst-19340	8	7	palpation	palpation	NOUN
ajst-19340	8	8	is	be	AUX
ajst-19340	8	9	an	an	DET
ajst-19340	8	10	indispensable	indispensable	ADJ
ajst-19340	8	11	diagnostic	diagnostic	ADJ
ajst-19340	8	12	approach	approach	NOUN
ajst-19340	8	13	,	,	PUNCT
ajst-19340	8	14	comprising	comprise	VERB
ajst-19340	8	15	both	both	DET
ajst-19340	8	16	pulse	pulse	NOUN
ajst-19340	8	17	diagnosis	diagnosis	NOUN
ajst-19340	8	18	and	and	CCONJ
ajst-19340	8	19	palpation	palpation	NOUN
ajst-19340	8	20	diagnosis	diagnosis	NOUN
ajst-19340	8	21	.	.	PUNCT
ajst-19340	9	1	this	this	DET
ajst-19340	9	2	method	method	NOUN
ajst-19340	9	3	involves	involve	VERB
ajst-19340	9	4	the	the	DET
ajst-19340	9	5	physician	physician	NOUN
ajst-19340	9	6	using	use	VERB
ajst-19340	9	7	their	their	PRON
ajst-19340	9	8	hands	hand	NOUN
ajst-19340	9	9	or	or	CCONJ
ajst-19340	9	10	fingers	finger	NOUN
ajst-19340	9	11	to	to	PART
ajst-19340	9	12	touch	touch	NOUN
ajst-19340	9	13	,	,	PUNCT
ajst-19340	9	14	feel	feel	VERB
ajst-19340	9	15	,	,	PUNCT
ajst-19340	9	16	press	press	NOUN
ajst-19340	9	17	,	,	PUNCT
ajst-19340	9	18	or	or	CCONJ
ajst-19340	9	19	tap	tap	VERB
ajst-19340	9	20	certain	certain	ADJ
ajst-19340	9	21	parts	part	NOUN
ajst-19340	9	22	of	of	ADP
ajst-19340	9	23	the	the	DET
ajst-19340	9	24	patient	patient	NOUN
ajst-19340	9	25	’s	’s	PART
ajst-19340	9	26	body	body	NOUN
ajst-19340	9	27	to	to	PART
ajst-19340	9	28	diagnose	diagnose	VERB
ajst-19340	9	29	diseases	disease	NOUN
ajst-19340	9	30	and	and	CCONJ
ajst-19340	9	31	understand	understand	VERB
ajst-19340	9	32	the	the	DET
ajst-19340	9	33	condition[2	condition[2	NOUN
ajst-19340	9	34	]	]	PUNCT
ajst-19340	9	35	.	.	PUNCT
ajst-19340	10	1	part	part	NOUN
ajst-19340	10	2	-	-	PUNCT
ajst-19340	10	3	of	of	ADP
ajst-19340	10	4	-	-	PUNCT
ajst-19340	10	5	speech	speech	NOUN
ajst-19340	10	6	tagging	tagging	NOUN
ajst-19340	10	7	is	be	AUX
ajst-19340	10	8	a	a	DET
ajst-19340	10	9	fundamental	fundamental	ADJ
ajst-19340	10	10	task	task	NOUN
ajst-19340	10	11	in	in	ADP
ajst-19340	10	12	the	the	DET
ajst-19340	10	13	field	field	NOUN
ajst-19340	10	14	of	of	ADP
ajst-19340	10	15	natural	natural	ADJ
ajst-19340	10	16	language	language	NOUN
ajst-19340	10	17	processing	processing	NOUN
ajst-19340	10	18	(	(	PUNCT
ajst-19340	10	19	nlp	nlp	NOUN
ajst-19340	10	20	)	)	PUNCT
ajst-19340	10	21	,	,	PUNCT
ajst-19340	10	22	with	with	ADP
ajst-19340	10	23	the	the	DET
ajst-19340	10	24	goal	goal	NOUN
ajst-19340	10	25	of	of	ADP
ajst-19340	10	26	assigning	assign	VERB
ajst-19340	10	27	appropriate	appropriate	ADJ
ajst-19340	10	28	part	part	NOUN
ajst-19340	10	29	-	-	PUNCT
ajst-19340	10	30	of	of	ADP
ajst-19340	10	31	-	-	PUNCT
ajst-19340	10	32	speech	speech	NOUN
ajst-19340	10	33	tags	tag	NOUN
ajst-19340	10	34	to	to	ADP
ajst-19340	10	35	each	each	DET
ajst-19340	10	36	word	word	NOUN
ajst-19340	10	37	based	base	VERB
ajst-19340	10	38	on	on	ADP
ajst-19340	10	39	context[3	context[3	PROPN
ajst-19340	10	40	]	]	PUNCT
ajst-19340	10	41	.	.	PUNCT
ajst-19340	11	1	part	part	NOUN
ajst-19340	11	2	-	-	PUNCT
ajst-19340	11	3	of	of	ADP
ajst-19340	11	4	-	-	PUNCT
ajst-19340	11	5	speech	speech	NOUN
ajst-19340	11	6	tagging	tagging	NOUN
ajst-19340	11	7	of	of	ADP
ajst-19340	11	8	traditional	traditional	ADJ
ajst-19340	11	9	chinese	chinese	ADJ
ajst-19340	11	10	medicine	medicine	NOUN
ajst-19340	11	11	clinical	clinical	ADJ
ajst-19340	11	12	pulse	pulse	NOUN
ajst-19340	11	13	feeling	feeling	NOUN
ajst-19340	11	14	and	and	CCONJ
ajst-19340	11	15	palpation	palpation	NOUN
ajst-19340	11	16	information	information	NOUN
ajst-19340	11	17	can	can	AUX
ajst-19340	11	18	aid	aid	VERB
ajst-19340	11	19	downstream	downstream	ADJ
ajst-19340	11	20	tasks	task	NOUN
ajst-19340	11	21	in	in	ADP
ajst-19340	11	22	more	more	ADV
ajst-19340	11	23	accurately	accurately	ADV
ajst-19340	11	24	identifying	identify	VERB
ajst-19340	11	25	and	and	CCONJ
ajst-19340	11	26	extracting	extract	VERB
ajst-19340	11	27	key	key	ADJ
ajst-19340	11	28	elements	element	NOUN
ajst-19340	11	29	from	from	ADP
ajst-19340	11	30	pulse	pulse	NOUN
ajst-19340	11	31	diagnosis	diagnosis	NOUN
ajst-19340	11	32	information	information	NOUN
ajst-19340	11	33	,	,	PUNCT
ajst-19340	11	34	thereby	thereby	ADV
ajst-19340	11	35	enhancing	enhance	VERB
ajst-19340	11	36	the	the	DET
ajst-19340	11	37	quality	quality	NOUN
ajst-19340	11	38	and	and	CCONJ
ajst-19340	11	39	efficiency	efficiency	NOUN
ajst-19340	11	40	of	of	ADP
ajst-19340	11	41	data	datum	NOUN
ajst-19340	11	42	processing	processing	NOUN
ajst-19340	11	43	in	in	ADP
ajst-19340	11	44	intelligent	intelligent	ADJ
ajst-19340	11	45	medical	medical	ADJ
ajst-19340	11	46	systems	system	NOUN
ajst-19340	11	47	.	.	PUNCT
ajst-19340	12	1	however	however	ADV
ajst-19340	12	2	,	,	PUNCT
ajst-19340	12	3	unlike	unlike	ADP
ajst-19340	12	4	part	part	NOUN
ajst-19340	12	5	-	-	PUNCT
ajst-19340	12	6	of	of	ADP
ajst-19340	12	7	-	-	PUNCT
ajst-19340	12	8	speech	speech	NOUN
ajst-19340	12	9	tagging	tagging	NOUN
ajst-19340	12	10	tasks	task	NOUN
ajst-19340	12	11	in	in	ADP
ajst-19340	12	12	general	general	ADJ
ajst-19340	12	13	domains	domain	NOUN
ajst-19340	12	14	,	,	PUNCT
ajst-19340	12	15	the	the	DET
ajst-19340	12	16	current	current	ADJ
ajst-19340	12	17	task	task	NOUN
ajst-19340	12	18	of	of	ADP
ajst-19340	12	19	part	part	NOUN
ajst-19340	12	20	-	-	PUNCT
ajst-19340	12	21	of	of	ADP
ajst-19340	12	22	-	-	PUNCT
ajst-19340	12	23	speech	speech	NOUN
ajst-19340	12	24	tagging	tagging	NOUN
ajst-19340	12	25	for	for	ADP
ajst-19340	12	26	traditional	traditional	ADJ
ajst-19340	12	27	chinese	chinese	ADJ
ajst-19340	12	28	medicine	medicine	NOUN
ajst-19340	12	29	clinical	clinical	ADJ
ajst-19340	12	30	pulse	pulse	NOUN
ajst-19340	12	31	feeling	feeling	NOUN
ajst-19340	12	32	and	and	CCONJ
ajst-19340	12	33	palpation	palpation	NOUN
ajst-19340	12	34	information	information	NOUN
ajst-19340	12	35	faces	face	VERB
ajst-19340	12	36	two	two	NUM
ajst-19340	12	37	major	major	ADJ
ajst-19340	12	38	challenges	challenge	NOUN
ajst-19340	12	39	:	:	PUNCT
ajst-19340	12	40	1	1	X
ajst-19340	12	41	.	.	X
ajst-19340	12	42	high	high	ADJ
ajst-19340	12	43	specialization	specialization	NOUN
ajst-19340	12	44	of	of	ADP
ajst-19340	12	45	traditional	traditional	ADJ
ajst-19340	12	46	chinese	chinese	ADJ
ajst-19340	12	47	medicine	medicine	NOUN
ajst-19340	12	48	clinical	clinical	ADJ
ajst-19340	12	49	pulse	pulse	NOUN
ajst-19340	12	50	feeling	feeling	NOUN
ajst-19340	12	51	and	and	CCONJ
ajst-19340	12	52	palpation	palpation	NOUN
ajst-19340	12	53	information	information	NOUN
ajst-19340	12	54	:	:	PUNCT
ajst-19340	12	55	collecting	collect	VERB
ajst-19340	12	56	and	and	CCONJ
ajst-19340	12	57	organizing	organize	VERB
ajst-19340	12	58	a	a	DET
ajst-19340	12	59	large	large	ADJ
ajst-19340	12	60	amount	amount	NOUN
ajst-19340	12	61	of	of	ADP
ajst-19340	12	62	pulse	pulse	NOUN
ajst-19340	12	63	diagnosis	diagnosis	NOUN
ajst-19340	12	64	information	information	NOUN
ajst-19340	12	65	with	with	ADP
ajst-19340	12	66	part	part	NOUN
ajst-19340	12	67	-	-	PUNCT
ajst-19340	12	68	of	of	ADP
ajst-19340	12	69	-	-	PUNCT
ajst-19340	12	70	speech	speech	NOUN
ajst-19340	12	71	tags	tag	NOUN
ajst-19340	12	72	requires	require	VERB
ajst-19340	12	73	significant	significant	ADJ
ajst-19340	12	74	human	human	NOUN
ajst-19340	12	75	,	,	PUNCT
ajst-19340	12	76	material	material	NOUN
ajst-19340	12	77	,	,	PUNCT
ajst-19340	12	78	and	and	CCONJ
ajst-19340	12	79	time	time	NOUN
ajst-19340	12	80	resources	resource	NOUN
ajst-19340	12	81	.	.	PUNCT
ajst-19340	13	1	thus	thus	ADV
ajst-19340	13	2	,	,	PUNCT
ajst-19340	13	3	the	the	DET
ajst-19340	13	4	lack	lack	NOUN
ajst-19340	13	5	of	of	ADP
ajst-19340	13	6	annotated	annotate	VERB
ajst-19340	13	7	data	datum	NOUN
ajst-19340	13	8	becomes	become	VERB
ajst-19340	13	9	one	one	NUM
ajst-19340	13	10	of	of	ADP
ajst-19340	13	11	the	the	DET
ajst-19340	13	12	challenges	challenge	NOUN
ajst-19340	13	13	hindering	hinder	VERB
ajst-19340	13	14	the	the	DET
ajst-19340	13	15	development	development	NOUN
ajst-19340	13	16	of	of	ADP
ajst-19340	13	17	part	part	ADJ
ajst-19340	13	18	-	-	ADJ
ajst-19340	13	19	ofspeech	ofspeech	ADJ
ajst-19340	13	20	tagging	tagging	NOUN
ajst-19340	13	21	tasks	task	NOUN
ajst-19340	13	22	for	for	ADP
ajst-19340	13	23	traditional	traditional	ADJ
ajst-19340	13	24	chinese	chinese	ADJ
ajst-19340	13	25	medicine	medicine	NOUN
ajst-19340	13	26	clinical	clinical	ADJ
ajst-19340	13	27	pulse	pulse	NOUN
ajst-19340	13	28	feeling	feeling	NOUN
ajst-19340	13	29	and	and	CCONJ
ajst-19340	13	30	palpation	palpation	NOUN
ajst-19340	13	31	information	information	NOUN
ajst-19340	13	32	.	.	PUNCT
ajst-19340	14	1	2	2	X
ajst-19340	14	2	.	.	X
ajst-19340	14	3	high	high	ADJ
ajst-19340	14	4	frequency	frequency	NOUN
ajst-19340	14	5	of	of	ADP
ajst-19340	14	6	words	word	NOUN
ajst-19340	14	7	with	with	ADP
ajst-19340	14	8	multiple	multiple	ADJ
ajst-19340	14	9	parts	part	NOUN
ajst-19340	14	10	of	of	ADP
ajst-19340	14	11	speech	speech	NOUN
ajst-19340	14	12	:	:	PUNCT
ajst-19340	14	13	words	word	NOUN
ajst-19340	14	14	with	with	ADP
ajst-19340	14	15	multiple	multiple	ADJ
ajst-19340	14	16	parts	part	NOUN
ajst-19340	14	17	of	of	ADP
ajst-19340	14	18	speech	speech	NOUN
ajst-19340	14	19	are	be	AUX
ajst-19340	14	20	quite	quite	ADV
ajst-19340	14	21	common	common	ADJ
ajst-19340	14	22	in	in	ADP
ajst-19340	14	23	traditional	traditional	ADJ
ajst-19340	14	24	chinese	chinese	ADJ
ajst-19340	14	25	medicine	medicine	NOUN
ajst-19340	14	26	clinical	clinical	ADJ
ajst-19340	14	27	pulse	pulse	NOUN
ajst-19340	14	28	feeling	feeling	NOUN
ajst-19340	14	29	and	and	CCONJ
ajst-19340	14	30	palpation	palpation	NOUN
ajst-19340	14	31	information	information	NOUN
ajst-19340	14	32	,	,	PUNCT
ajst-19340	14	33	accounting	account	VERB
ajst-19340	14	34	for	for	ADP
ajst-19340	14	35	about	about	ADV
ajst-19340	14	36	14.93	14.93	NUM
ajst-19340	14	37	%	%	NOUN
ajst-19340	14	38	of	of	ADP
ajst-19340	14	39	the	the	DET
ajst-19340	14	40	entire	entire	ADJ
ajst-19340	14	41	dataset	dataset	NOUN
ajst-19340	14	42	.	.	PUNCT
ajst-19340	15	1	an	an	DET
ajst-19340	15	2	example	example	NOUN
ajst-19340	15	3	of	of	ADP
ajst-19340	15	4	such	such	DET
ajst-19340	15	5	a	a	DET
ajst-19340	15	6	phenomenon	phenomenon	NOUN
ajst-19340	15	7	is	be	AUX
ajst-19340	15	8	shown	show	VERB
ajst-19340	15	9	in	in	ADP
ajst-19340	15	10	figure	figure	NOUN
ajst-19340	15	11	1	1	NUM
ajst-19340	15	12	.	.	PUNCT
ajst-19340	16	1	in	in	ADP
ajst-19340	16	2	this	this	DET
ajst-19340	16	3	example	example	NOUN
ajst-19340	16	4	,	,	PUNCT
ajst-19340	16	5	the	the	DET
ajst-19340	16	6	character	character	NOUN
ajst-19340	16	7	‘	'	PUNCT
ajst-19340	16	8	起	起	X
ajst-19340	16	9	’	'	PUNCT
ajst-19340	16	10	appears	appear	VERB
ajst-19340	16	11	in	in	ADP
ajst-19340	16	12	two	two	NUM
ajst-19340	16	13	different	different	ADJ
ajst-19340	16	14	pieces	piece	NOUN
ajst-19340	16	15	of	of	ADP
ajst-19340	16	16	pulse	pulse	NOUN
ajst-19340	16	17	diagnosis	diagnosis	NOUN
ajst-19340	16	18	information	information	NOUN
ajst-19340	16	19	but	but	CCONJ
ajst-19340	16	20	has	have	VERB
ajst-19340	16	21	different	different	ADJ
ajst-19340	16	22	parts	part	NOUN
ajst-19340	16	23	of	of	ADP
ajst-19340	16	24	speech	speech	NOUN
ajst-19340	16	25	in	in	ADP
ajst-19340	16	26	different	different	ADJ
ajst-19340	16	27	contexts	contexts	NOUN
ajst-19340	16	28	:	:	PUNCT
ajst-19340	16	29	in	in	ADP
ajst-19340	16	30	one	one	NUM
ajst-19340	16	31	instance	instance	NOUN
ajst-19340	16	32	,	,	PUNCT
ajst-19340	16	33	it	it	PRON
ajst-19340	16	34	is	be	AUX
ajst-19340	16	35	tagged	tag	VERB
ajst-19340	16	36	as	as	ADP
ajst-19340	16	37	a	a	DET
ajst-19340	16	38	modal	modal	ADJ
ajst-19340	16	39	verb	verb	NOUN
ajst-19340	16	40	(	(	PUNCT
ajst-19340	16	41	vv	vv	NOUN
ajst-19340	16	42	)	)	PUNCT
ajst-19340	16	43	,	,	PUNCT
ajst-19340	16	44	while	while	SCONJ
ajst-19340	16	45	in	in	ADP
ajst-19340	16	46	another	another	PRON
ajst-19340	16	47	,	,	PUNCT
ajst-19340	16	48	it	it	PRON
ajst-19340	16	49	is	be	AUX
ajst-19340	16	50	used	use	VERB
ajst-19340	16	51	as	as	ADP
ajst-19340	16	52	a	a	DET
ajst-19340	16	53	predicative	predicative	ADJ
ajst-19340	16	54	adjective	adjective	ADJ
ajst-19340	16	55	(	(	PUNCT
ajst-19340	16	56	va	va	NOUN
ajst-19340	16	57	)	)	PUNCT
ajst-19340	16	58	.	.	PUNCT
ajst-19340	17	1	in	in	ADP
ajst-19340	17	2	the	the	DET
ajst-19340	17	3	current	current	ADJ
ajst-19340	17	4	task	task	NOUN
ajst-19340	17	5	,	,	PUNCT
ajst-19340	17	6	the	the	DET
ajst-19340	17	7	presence	presence	NOUN
ajst-19340	17	8	of	of	ADP
ajst-19340	17	9	words	word	NOUN
ajst-19340	17	10	with	with	ADP
ajst-19340	17	11	multiple	multiple	ADJ
ajst-19340	17	12	parts	part	NOUN
ajst-19340	17	13	of	of	ADP
ajst-19340	17	14	speech	speech	NOUN
ajst-19340	17	15	adds	add	VERB
ajst-19340	17	16	complexity	complexity	NOUN
ajst-19340	17	17	to	to	PART
ajst-19340	17	18	part	part	VERB
ajst-19340	17	19	-	-	PUNCT
ajst-19340	17	20	of	of	ADP
ajst-19340	17	21	-	-	PUNCT
ajst-19340	17	22	speech	speech	NOUN
ajst-19340	17	23	tagging	tagging	NOUN
ajst-19340	17	24	,	,	PUNCT
ajst-19340	17	25	posing	pose	VERB
ajst-19340	17	26	another	another	DET
ajst-19340	17	27	challenge	challenge	NOUN
ajst-19340	17	28	to	to	ADP
ajst-19340	17	29	the	the	DET
ajst-19340	17	30	development	development	NOUN
ajst-19340	17	31	of	of	ADP
ajst-19340	17	32	part	part	NOUN
ajst-19340	17	33	-	-	PUNCT
ajst-19340	17	34	of	of	ADP
ajst-19340	17	35	-	-	PUNCT
ajst-19340	17	36	speech	speech	NOUN
ajst-19340	17	37	tagging	tagging	NOUN
ajst-19340	17	38	tasks	task	NOUN
ajst-19340	17	39	for	for	ADP
ajst-19340	17	40	traditional	traditional	ADJ
ajst-19340	17	41	chinese	chinese	ADJ
ajst-19340	17	42	medicine	medicine	NOUN
ajst-19340	17	43	clinical	clinical	ADJ
ajst-19340	17	44	pulse	pulse	NOUN
ajst-19340	17	45	feeling	feeling	NOUN
ajst-19340	17	46	and	and	CCONJ
ajst-19340	17	47	palpation	palpation	NOUN
ajst-19340	17	48	information[4	information[4	NOUN
ajst-19340	17	49	]	]	PUNCT
ajst-19340	17	50	.	.	PUNCT
ajst-19340	18	1	figure	figure	NOUN
ajst-19340	18	2	1	1	NUM
ajst-19340	18	3	.	.	PUNCT
ajst-19340	19	1	examples	example	NOUN
ajst-19340	19	2	of	of	ADP
ajst-19340	19	3	the	the	DET
ajst-19340	19	4	phenomenon	phenomenon	NOUN
ajst-19340	19	5	of	of	ADP
ajst-19340	19	6	words	word	NOUN
ajst-19340	19	7	with	with	ADP
ajst-19340	19	8	multiple	multiple	ADJ
ajst-19340	19	9	parts	part	NOUN
ajst-19340	19	10	of	of	ADP
ajst-19340	19	11	speech	speech	NOUN
ajst-19340	19	12	in	in	ADP
ajst-19340	19	13	traditional	traditional	ADJ
ajst-19340	19	14	chinese	chinese	ADJ
ajst-19340	19	15	medicine	medicine	NOUN
ajst-19340	19	16	clinical	clinical	ADJ
ajst-19340	19	17	pulse	pulse	NOUN
ajst-19340	19	18	feeling	feeling	NOUN
ajst-19340	19	19	and	and	CCONJ
ajst-19340	19	20	palpation	palpation	NOUN
ajst-19340	19	21	information	information	NOUN
ajst-19340	19	22	in	in	ADP
ajst-19340	19	23	summary	summary	NOUN
ajst-19340	19	24	,	,	PUNCT
ajst-19340	19	25	in	in	ADP
ajst-19340	19	26	the	the	DET
ajst-19340	19	27	current	current	ADJ
ajst-19340	19	28	task	task	NOUN
ajst-19340	19	29	,	,	PUNCT
ajst-19340	19	30	the	the	DET
ajst-19340	19	31	scarcity	scarcity	NOUN
ajst-19340	19	32	of	of	ADP
ajst-19340	19	33	annotated	annotate	VERB
ajst-19340	19	34	data	datum	NOUN
ajst-19340	19	35	and	and	CCONJ
ajst-19340	19	36	the	the	DET
ajst-19340	19	37	prevalence	prevalence	NOUN
ajst-19340	19	38	of	of	ADP
ajst-19340	19	39	words	word	NOUN
ajst-19340	19	40	with	with	ADP
ajst-19340	19	41	multiple	multiple	ADJ
ajst-19340	19	42	parts	part	NOUN
ajst-19340	19	43	of	of	ADP
ajst-19340	19	44	speech	speech	NOUN
ajst-19340	19	45	collectively	collectively	ADV
ajst-19340	19	46	constitute	constitute	VERB
ajst-19340	19	47	key	key	ADJ
ajst-19340	19	48	obstacles	obstacle	NOUN
ajst-19340	19	49	to	to	ADP
ajst-19340	19	50	the	the	DET
ajst-19340	19	51	research	research	NOUN
ajst-19340	19	52	progress	progress	NOUN
ajst-19340	19	53	in	in	ADP
ajst-19340	19	54	part	part	NOUN
ajst-19340	19	55	-	-	PUNCT
ajst-19340	19	56	of	of	ADP
ajst-19340	19	57	-	-	PUNCT
ajst-19340	19	58	speech	speech	NOUN
ajst-19340	19	59	tagging	tagging	NOUN
ajst-19340	19	60	for	for	ADP
ajst-19340	19	61	traditional	traditional	ADJ
ajst-19340	19	62	chinese	chinese	ADJ
ajst-19340	19	63	medicine	medicine	NOUN
ajst-19340	19	64	clinical	clinical	ADJ
ajst-19340	19	65	pulse	pulse	NOUN
ajst-19340	19	66	feeling	feeling	NOUN
ajst-19340	19	67	and	and	CCONJ
ajst-19340	19	68	palpation	palpation	NOUN
ajst-19340	19	69	information	information	NOUN
ajst-19340	19	70	.	.	PUNCT
ajst-19340	20	1	438	438	NUM
ajst-19340	20	2	currently	currently	ADV
ajst-19340	20	3	,	,	PUNCT
ajst-19340	20	4	part	part	NOUN
ajst-19340	20	5	-	-	PUNCT
ajst-19340	20	6	of	of	ADP
ajst-19340	20	7	-	-	PUNCT
ajst-19340	20	8	speech	speech	NOUN
ajst-19340	20	9	tagging	tagging	NOUN
ajst-19340	20	10	tasks	task	NOUN
ajst-19340	20	11	in	in	ADP
ajst-19340	20	12	low	low	ADJ
ajst-19340	20	13	-	-	PUNCT
ajst-19340	20	14	resource	resource	NOUN
ajst-19340	20	15	scenarios	scenario	NOUN
ajst-19340	20	16	primarily	primarily	ADV
ajst-19340	20	17	adopt	adopt	VERB
ajst-19340	20	18	a	a	DET
ajst-19340	20	19	fine	fine	ADV
ajst-19340	20	20	-	-	PUNCT
ajst-19340	20	21	tuning	tuning	NOUN
ajst-19340	20	22	paradigm	paradigm	NOUN
ajst-19340	20	23	.	.	PUNCT
ajst-19340	21	1	this	this	DET
ajst-19340	21	2	paradigm	paradigm	NOUN
ajst-19340	21	3	aims	aim	VERB
ajst-19340	21	4	to	to	PART
ajst-19340	21	5	activate	activate	VERB
ajst-19340	21	6	a	a	DET
ajst-19340	21	7	large	large	ADJ
ajst-19340	21	8	amount	amount	NOUN
ajst-19340	21	9	of	of	ADP
ajst-19340	21	10	general	general	ADJ
ajst-19340	21	11	domain	domain	NOUN
ajst-19340	21	12	knowledge	knowledge	NOUN
ajst-19340	21	13	in	in	ADP
ajst-19340	21	14	pretrained	pretraine	VERB
ajst-19340	21	15	language	language	NOUN
ajst-19340	21	16	models	model	NOUN
ajst-19340	21	17	using	use	VERB
ajst-19340	21	18	a	a	DET
ajst-19340	21	19	small	small	ADJ
ajst-19340	21	20	amount	amount	NOUN
ajst-19340	21	21	of	of	ADP
ajst-19340	21	22	part	part	NOUN
ajst-19340	21	23	-	-	PUNCT
ajst-19340	21	24	of	of	ADP
ajst-19340	21	25	-	-	PUNCT
ajst-19340	21	26	speech	speech	NOUN
ajst-19340	21	27	tagged	tag	VERB
ajst-19340	21	28	data	datum	NOUN
ajst-19340	21	29	,	,	PUNCT
ajst-19340	21	30	thereby	thereby	ADV
ajst-19340	21	31	achieving	achieve	VERB
ajst-19340	21	32	better	well	ADJ
ajst-19340	21	33	part	part	NOUN
ajst-19340	21	34	-	-	PUNCT
ajst-19340	21	35	of	of	ADP
ajst-19340	21	36	-	-	PUNCT
ajst-19340	21	37	speech	speech	NOUN
ajst-19340	21	38	tagging	tagging	NOUN
ajst-19340	21	39	results	result	NOUN
ajst-19340	21	40	.	.	PUNCT
ajst-19340	22	1	zhang	zhang	PROPN
ajst-19340	22	2	et	et	PROPN
ajst-19340	22	3	al.[5	al.[5	PROPN
ajst-19340	22	4	]	]	PUNCT
ajst-19340	22	5	used	use	VERB
ajst-19340	22	6	the	the	DET
ajst-19340	22	7	ancient	ancient	ADJ
ajst-19340	22	8	chinese	chinese	ADJ
ajst-19340	22	9	pretrained	pretraine	VERB
ajst-19340	22	10	model	model	NOUN
ajst-19340	22	11	sikuroberta	sikuroberta	NOUN
ajst-19340	22	12	combined	combine	VERB
ajst-19340	22	13	with	with	ADP
ajst-19340	22	14	a	a	DET
ajst-19340	22	15	crf	crf	NOUN
ajst-19340	22	16	layer	layer	NOUN
ajst-19340	22	17	to	to	PART
ajst-19340	22	18	accomplish	accomplish	VERB
ajst-19340	22	19	part	part	NOUN
ajst-19340	22	20	-	-	PUNCT
ajst-19340	22	21	of	of	ADP
ajst-19340	22	22	-	-	PUNCT
ajst-19340	22	23	speech	speech	NOUN
ajst-19340	22	24	tagging	tagging	NOUN
ajst-19340	22	25	for	for	ADP
ajst-19340	22	26	ancient	ancient	ADJ
ajst-19340	22	27	chinese	chinese	PROPN
ajst-19340	22	28	under	under	ADP
ajst-19340	22	29	low	low	ADJ
ajst-19340	22	30	-	-	PUNCT
ajst-19340	22	31	resource	resource	NOUN
ajst-19340	22	32	conditions	condition	NOUN
ajst-19340	22	33	.	.	PUNCT
ajst-19340	23	1	dione	dione	NOUN
ajst-19340	23	2	et	et	PROPN
ajst-19340	23	3	al.[6	al.[6	PROPN
ajst-19340	23	4	]	]	PUNCT
ajst-19340	23	5	fine	fine	ADV
ajst-19340	23	6	-	-	PUNCT
ajst-19340	23	7	tuned	tune	VERB
ajst-19340	23	8	rembert	rembert	ADJ
ajst-19340	23	9	to	to	PART
ajst-19340	23	10	complete	complete	VERB
ajst-19340	23	11	part	part	NOUN
ajst-19340	23	12	-	-	PUNCT
ajst-19340	23	13	of	of	ADP
ajst-19340	23	14	-	-	PUNCT
ajst-19340	23	15	speech	speech	NOUN
ajst-19340	23	16	tagging	tagging	NOUN
ajst-19340	23	17	tasks	task	NOUN
ajst-19340	23	18	for	for	ADP
ajst-19340	23	19	over	over	ADP
ajst-19340	23	20	20	20	NUM
ajst-19340	23	21	african	african	ADJ
ajst-19340	23	22	languages	language	NOUN
ajst-19340	23	23	in	in	ADP
ajst-19340	23	24	low	low	ADJ
ajst-19340	23	25	-	-	PUNCT
ajst-19340	23	26	resource	resource	NOUN
ajst-19340	23	27	scenarios	scenario	NOUN
ajst-19340	23	28	.	.	PUNCT
ajst-19340	24	1	tian	tian	ADJ
ajst-19340	24	2	et	et	PROPN
ajst-19340	24	3	al.[11	al.[11	PROPN
ajst-19340	24	4	]	]	PUNCT
ajst-19340	24	5	used	use	VERB
ajst-19340	24	6	sikubert+bilstm+crf	sikubert+bilstm+crf	PROPN
ajst-19340	24	7	to	to	PART
ajst-19340	24	8	complete	complete	VERB
ajst-19340	24	9	ancient	ancient	ADJ
ajst-19340	24	10	chinese	chinese	ADJ
ajst-19340	24	11	part	part	NOUN
ajst-19340	24	12	-	-	PUNCT
ajst-19340	24	13	of	of	ADP
ajst-19340	24	14	-	-	PUNCT
ajst-19340	24	15	speech	speech	NOUN
ajst-19340	24	16	tagging	tagging	NOUN
ajst-19340	24	17	tasks	task	NOUN
ajst-19340	24	18	.	.	PUNCT
ajst-19340	25	1	however	however	ADV
ajst-19340	25	2	,	,	PUNCT
ajst-19340	25	3	in	in	ADP
ajst-19340	25	4	the	the	DET
ajst-19340	25	5	fine	fine	ADV
ajst-19340	25	6	-	-	PUNCT
ajst-19340	25	7	tuning	tune	VERB
ajst-19340	25	8	paradigm	paradigm	NOUN
ajst-19340	25	9	,	,	PUNCT
ajst-19340	25	10	directly	directly	ADV
ajst-19340	25	11	applying	apply	VERB
ajst-19340	25	12	traditional	traditional	ADJ
ajst-19340	25	13	chinese	chinese	ADJ
ajst-19340	25	14	medicine	medicine	NOUN
ajst-19340	25	15	clinical	clinical	ADJ
ajst-19340	25	16	pulse	pulse	NOUN
ajst-19340	25	17	feeling	feeling	NOUN
ajst-19340	25	18	and	and	CCONJ
ajst-19340	25	19	palpation	palpation	NOUN
ajst-19340	25	20	information	information	NOUN
ajst-19340	25	21	part	part	NOUN
ajst-19340	25	22	-	-	PUNCT
ajst-19340	25	23	of	of	ADP
ajst-19340	25	24	-	-	PUNCT
ajst-19340	25	25	speech	speech	NOUN
ajst-19340	25	26	tagging	tagging	NOUN
ajst-19340	25	27	data	datum	NOUN
ajst-19340	25	28	on	on	ADP
ajst-19340	25	29	a	a	DET
ajst-19340	25	30	pretrained	pretraine	VERB
ajst-19340	25	31	language	language	NOUN
ajst-19340	25	32	model	model	NOUN
ajst-19340	25	33	may	may	AUX
ajst-19340	25	34	lead	lead	VERB
ajst-19340	25	35	to	to	ADP
ajst-19340	25	36	task	task	NOUN
ajst-19340	25	37	mismatch	mismatch	NOUN
ajst-19340	25	38	,	,	PUNCT
ajst-19340	25	39	consequently	consequently	ADV
ajst-19340	25	40	diminishing	diminish	VERB
ajst-19340	25	41	the	the	DET
ajst-19340	25	42	knowledge	knowledge	NOUN
ajst-19340	25	43	representation	representation	NOUN
ajst-19340	25	44	ability	ability	NOUN
ajst-19340	25	45	of	of	ADP
ajst-19340	25	46	the	the	DET
ajst-19340	25	47	pretrained	pretraine	VERB
ajst-19340	25	48	language	language	NOUN
ajst-19340	25	49	model	model	NOUN
ajst-19340	25	50	in	in	ADP
ajst-19340	25	51	downstream	downstream	ADJ
ajst-19340	25	52	tasks[7	tasks[7	NOUN
ajst-19340	25	53	-	-	PUNCT
ajst-19340	25	54	8	8	NUM
ajst-19340	25	55	]	]	PUNCT
ajst-19340	25	56	.	.	PUNCT
ajst-19340	26	1	therefore	therefore	ADV
ajst-19340	26	2	,	,	PUNCT
ajst-19340	26	3	in	in	ADP
ajst-19340	26	4	response	response	NOUN
ajst-19340	26	5	to	to	ADP
ajst-19340	26	6	these	these	DET
ajst-19340	26	7	challenges	challenge	NOUN
ajst-19340	26	8	and	and	CCONJ
ajst-19340	26	9	limitations	limitation	NOUN
ajst-19340	26	10	,	,	PUNCT
ajst-19340	26	11	this	this	DET
ajst-19340	26	12	paper	paper	NOUN
ajst-19340	26	13	conducts	conduct	VERB
ajst-19340	26	14	research	research	NOUN
ajst-19340	26	15	on	on	ADP
ajst-19340	26	16	part	part	NOUN
ajst-19340	26	17	-	-	PUNCT
ajst-19340	26	18	of	of	ADP
ajst-19340	26	19	-	-	PUNCT
ajst-19340	26	20	speech	speech	NOUN
ajst-19340	26	21	tagging	tagging	NOUN
ajst-19340	26	22	tasks	task	NOUN
ajst-19340	26	23	for	for	ADP
ajst-19340	26	24	traditional	traditional	ADJ
ajst-19340	26	25	chinese	chinese	ADJ
ajst-19340	26	26	medicine	medicine	NOUN
ajst-19340	26	27	clinical	clinical	ADJ
ajst-19340	26	28	pulse	pulse	NOUN
ajst-19340	26	29	feeling	feeling	NOUN
ajst-19340	26	30	and	and	CCONJ
ajst-19340	26	31	palpation	palpation	NOUN
ajst-19340	26	32	information	information	NOUN
ajst-19340	26	33	in	in	ADP
ajst-19340	26	34	low	low	ADJ
ajst-19340	26	35	-	-	PUNCT
ajst-19340	26	36	resource	resource	NOUN
ajst-19340	26	37	scenarios	scenario	NOUN
ajst-19340	26	38	.	.	PUNCT
ajst-19340	27	1	the	the	DET
ajst-19340	27	2	main	main	ADJ
ajst-19340	27	3	contributions	contribution	NOUN
ajst-19340	27	4	are	be	AUX
ajst-19340	27	5	as	as	SCONJ
ajst-19340	27	6	follows	follow	VERB
ajst-19340	27	7	:	:	PUNCT
ajst-19340	27	8	this	this	DET
ajst-19340	27	9	paper	paper	NOUN
ajst-19340	27	10	applies	apply	VERB
ajst-19340	27	11	the	the	DET
ajst-19340	27	12	prompt	prompt	NOUN
ajst-19340	27	13	-	-	PUNCT
ajst-19340	27	14	tuning[9	tuning[9	PROPN
ajst-19340	27	15	]	]	PUNCT
ajst-19340	27	16	method	method	NOUN
ajst-19340	27	17	to	to	ADP
ajst-19340	27	18	the	the	DET
ajst-19340	27	19	part	part	NOUN
ajst-19340	27	20	-	-	PUNCT
ajst-19340	27	21	of	of	ADP
ajst-19340	27	22	-	-	PUNCT
ajst-19340	27	23	speech	speech	NOUN
ajst-19340	27	24	tagging	tagging	NOUN
ajst-19340	27	25	task	task	NOUN
ajst-19340	27	26	of	of	ADP
ajst-19340	27	27	traditional	traditional	ADJ
ajst-19340	27	28	chinese	chinese	ADJ
ajst-19340	27	29	medicine	medicine	NOUN
ajst-19340	27	30	clinical	clinical	ADJ
ajst-19340	27	31	pulse	pulse	NOUN
ajst-19340	27	32	feeling	feeling	NOUN
ajst-19340	27	33	and	and	CCONJ
ajst-19340	27	34	palpation	palpation	NOUN
ajst-19340	27	35	information	information	NOUN
ajst-19340	27	36	,	,	PUNCT
ajst-19340	27	37	and	and	CCONJ
ajst-19340	27	38	designs	design	VERB
ajst-19340	27	39	prompt	prompt	ADJ
ajst-19340	27	40	templates	template	NOUN
ajst-19340	27	41	that	that	PRON
ajst-19340	27	42	integrate	integrate	VERB
ajst-19340	27	43	the	the	DET
ajst-19340	27	44	part	part	NOUN
ajst-19340	27	45	-	-	PUNCT
ajst-19340	27	46	of	of	ADP
ajst-19340	27	47	-	-	PUNCT
ajst-19340	27	48	speech	speech	NOUN
ajst-19340	27	49	information	information	NOUN
ajst-19340	27	50	of	of	ADP
ajst-19340	27	51	adjacent	adjacent	ADJ
ajst-19340	27	52	words	word	NOUN
ajst-19340	27	53	according	accord	VERB
ajst-19340	27	54	to	to	ADP
ajst-19340	27	55	the	the	DET
ajst-19340	27	56	specific	specific	ADJ
ajst-19340	27	57	characteristics	characteristic	NOUN
ajst-19340	27	58	of	of	ADP
ajst-19340	27	59	this	this	DET
ajst-19340	27	60	task	task	NOUN
ajst-19340	27	61	.	.	PUNCT
ajst-19340	28	1	to	to	PART
ajst-19340	28	2	address	address	VERB
ajst-19340	28	3	the	the	DET
ajst-19340	28	4	issue	issue	NOUN
ajst-19340	28	5	of	of	ADP
ajst-19340	28	6	words	word	NOUN
ajst-19340	28	7	with	with	ADP
ajst-19340	28	8	multiple	multiple	ADJ
ajst-19340	28	9	parts	part	NOUN
ajst-19340	28	10	of	of	ADP
ajst-19340	28	11	speech	speech	NOUN
ajst-19340	28	12	in	in	ADP
ajst-19340	28	13	traditional	traditional	ADJ
ajst-19340	28	14	chinese	chinese	ADJ
ajst-19340	28	15	medicine	medicine	NOUN
ajst-19340	28	16	clinical	clinical	ADJ
ajst-19340	28	17	pulse	pulse	NOUN
ajst-19340	28	18	feeling	feeling	NOUN
ajst-19340	28	19	and	and	CCONJ
ajst-19340	28	20	palpation	palpation	NOUN
ajst-19340	28	21	information	information	NOUN
ajst-19340	28	22	,	,	PUNCT
ajst-19340	28	23	this	this	DET
ajst-19340	28	24	paper	paper	NOUN
ajst-19340	28	25	proposes	propose	VERB
ajst-19340	28	26	the	the	DET
ajst-19340	28	27	integration	integration	NOUN
ajst-19340	28	28	of	of	ADP
ajst-19340	28	29	the	the	DET
ajst-19340	28	30	hidden	hide	VERB
ajst-19340	28	31	markov	markov	NOUN
ajst-19340	28	32	model	model	NOUN
ajst-19340	28	33	into	into	ADP
ajst-19340	28	34	the	the	DET
ajst-19340	28	35	prompttuning	prompttuning	NOUN
ajst-19340	28	36	method	method	NOUN
ajst-19340	28	37	,	,	PUNCT
ajst-19340	28	38	enhancing	enhance	VERB
ajst-19340	28	39	the	the	DET
ajst-19340	28	40	performance	performance	NOUN
ajst-19340	28	41	of	of	ADP
ajst-19340	28	42	prompttuning	prompttune	VERB
ajst-19340	28	43	in	in	ADP
ajst-19340	28	44	this	this	DET
ajst-19340	28	45	specific	specific	ADJ
ajst-19340	28	46	part	part	NOUN
ajst-19340	28	47	-	-	PUNCT
ajst-19340	28	48	of	of	ADP
ajst-19340	28	49	-	-	PUNCT
ajst-19340	28	50	speech	speech	NOUN
ajst-19340	28	51	tagging	tagging	NOUN
ajst-19340	28	52	task	task	NOUN
ajst-19340	28	53	.	.	PUNCT
ajst-19340	29	1	lastly	lastly	ADV
ajst-19340	29	2	,	,	PUNCT
ajst-19340	29	3	this	this	DET
ajst-19340	29	4	paper	paper	NOUN
ajst-19340	29	5	demonstrates	demonstrate	VERB
ajst-19340	29	6	the	the	DET
ajst-19340	29	7	effectiveness	effectiveness	NOUN
ajst-19340	29	8	of	of	ADP
ajst-19340	29	9	the	the	DET
ajst-19340	29	10	proposed	propose	VERB
ajst-19340	29	11	model	model	NOUN
ajst-19340	29	12	in	in	ADP
ajst-19340	29	13	low	low	ADJ
ajst-19340	29	14	-	-	PUNCT
ajst-19340	29	15	resource	resource	NOUN
ajst-19340	29	16	scenarios	scenario	NOUN
ajst-19340	29	17	for	for	ADP
ajst-19340	29	18	traditional	traditional	ADJ
ajst-19340	29	19	chinese	chinese	ADJ
ajst-19340	29	20	medicine	medicine	NOUN
ajst-19340	29	21	clinical	clinical	ADJ
ajst-19340	29	22	pulse	pulse	NOUN
ajst-19340	29	23	feeling	feeling	NOUN
ajst-19340	29	24	and	and	CCONJ
ajst-19340	29	25	palpation	palpation	NOUN
ajst-19340	29	26	information	information	NOUN
ajst-19340	29	27	part	part	NOUN
ajst-19340	29	28	-	-	PUNCT
ajst-19340	29	29	of	of	ADP
ajst-19340	29	30	-	-	PUNCT
ajst-19340	29	31	speech	speech	NOUN
ajst-19340	29	32	tagging	tagging	NOUN
ajst-19340	29	33	tasks	task	NOUN
ajst-19340	29	34	through	through	ADP
ajst-19340	29	35	empirical	empirical	ADJ
ajst-19340	29	36	testing	testing	NOUN
ajst-19340	29	37	,	,	PUNCT
ajst-19340	29	38	and	and	CCONJ
ajst-19340	29	39	validates	validate	VERB
ajst-19340	29	40	the	the	DET
ajst-19340	29	41	effectiveness	effectiveness	NOUN
ajst-19340	29	42	of	of	ADP
ajst-19340	29	43	each	each	DET
ajst-19340	29	44	module	module	NOUN
ajst-19340	29	45	within	within	ADP
ajst-19340	29	46	the	the	DET
ajst-19340	29	47	model	model	NOUN
ajst-19340	29	48	through	through	ADP
ajst-19340	29	49	ablation	ablation	NOUN
ajst-19340	29	50	studies	study	NOUN
ajst-19340	29	51	.	.	PUNCT
ajst-19340	30	1	2	2	X
ajst-19340	30	2	.	.	X
ajst-19340	30	3	method	method	PROPN
ajst-19340	30	4	2.1	2.1	NUM
ajst-19340	30	5	.	.	PUNCT
ajst-19340	31	1	problem	problem	NOUN
ajst-19340	31	2	definition	definition	NOUN
ajst-19340	31	3	in	in	ADP
ajst-19340	31	4	this	this	DET
ajst-19340	31	5	paper	paper	NOUN
ajst-19340	31	6	,	,	PUNCT
ajst-19340	31	7	the	the	DET
ajst-19340	31	8	part	part	NOUN
ajst-19340	31	9	-	-	PUNCT
ajst-19340	31	10	of	of	ADP
ajst-19340	31	11	-	-	PUNCT
ajst-19340	31	12	speech	speech	NOUN
ajst-19340	31	13	tagging	tagging	NOUN
ajst-19340	31	14	task	task	NOUN
ajst-19340	31	15	for	for	ADP
ajst-19340	31	16	traditional	traditional	ADJ
ajst-19340	31	17	chinese	chinese	ADJ
ajst-19340	31	18	medicine	medicine	NOUN
ajst-19340	31	19	clinical	clinical	ADJ
ajst-19340	31	20	pulse	pulse	NOUN
ajst-19340	31	21	feeling	feeling	NOUN
ajst-19340	31	22	and	and	CCONJ
ajst-19340	31	23	palpation	palpation	NOUN
ajst-19340	31	24	information	information	NOUN
ajst-19340	31	25	is	be	AUX
ajst-19340	31	26	explicitly	explicitly	ADV
ajst-19340	31	27	defined	define	VERB
ajst-19340	31	28	as	as	ADP
ajst-19340	31	29	a	a	DET
ajst-19340	31	30	sequence	sequence	NOUN
ajst-19340	31	31	labeling	labeling	NOUN
ajst-19340	31	32	task	task	NOUN
ajst-19340	31	33	,	,	PUNCT
ajst-19340	31	34	aimed	aim	VERB
ajst-19340	31	35	at	at	ADP
ajst-19340	31	36	identifying	identify	VERB
ajst-19340	31	37	and	and	CCONJ
ajst-19340	31	38	labeling	label	VERB
ajst-19340	31	39	the	the	DET
ajst-19340	31	40	part	part	NOUN
ajst-19340	31	41	of	of	ADP
ajst-19340	31	42	speech	speech	NOUN
ajst-19340	31	43	for	for	ADP
ajst-19340	31	44	each	each	DET
ajst-19340	31	45	word	word	NOUN
ajst-19340	31	46	in	in	ADP
ajst-19340	31	47	a	a	DET
ajst-19340	31	48	text	text	NOUN
ajst-19340	31	49	.	.	PUNCT
ajst-19340	32	1	the	the	DET
ajst-19340	32	2	input	input	NOUN
ajst-19340	32	3	for	for	ADP
ajst-19340	32	4	a	a	DET
ajst-19340	32	5	sequence	sequence	NOUN
ajst-19340	32	6	labeling	labeling	NOUN
ajst-19340	32	7	task	task	NOUN
ajst-19340	32	8	can	can	AUX
ajst-19340	32	9	be	be	AUX
ajst-19340	32	10	formally	formally	ADV
ajst-19340	32	11	defined	define	VERB
ajst-19340	32	12	as	as	ADP
ajst-19340	32	13	a	a	DET
ajst-19340	32	14	given	give	VERB
ajst-19340	32	15	text	text	NOUN
ajst-19340	32	16	sequence	sequence	NOUN
ajst-19340	32	17	𝑋	𝑋	PROPN
ajst-19340	32	18	𝑥	𝑥	PROPN
ajst-19340	32	19	,	,	PUNCT
ajst-19340	32	20	𝑥	𝑥	X
ajst-19340	32	21	,	,	PUNCT
ajst-19340	32	22	…	…	PUNCT
ajst-19340	32	23	,	,	PUNCT
ajst-19340	32	24	𝑥	𝑥	INTJ
ajst-19340	32	25	,	,	PUNCT
ajst-19340	32	26	where	where	SCONJ
ajst-19340	32	27	each	each	PRON
ajst-19340	32	28	xi	xi	X
ajst-19340	32	29	is	be	AUX
ajst-19340	32	30	a	a	DET
ajst-19340	32	31	word	word	NOUN
ajst-19340	32	32	in	in	ADP
ajst-19340	32	33	the	the	DET
ajst-19340	32	34	sequence	sequence	NOUN
ajst-19340	32	35	,	,	PUNCT
ajst-19340	32	36	and	and	CCONJ
ajst-19340	32	37	n	n	CCONJ
ajst-19340	32	38	represents	represent	VERB
ajst-19340	32	39	the	the	DET
ajst-19340	32	40	number	number	NOUN
ajst-19340	32	41	of	of	ADP
ajst-19340	32	42	words	word	NOUN
ajst-19340	32	43	in	in	ADP
ajst-19340	32	44	the	the	DET
ajst-19340	32	45	sequence	sequence	NOUN
ajst-19340	32	46	.	.	PUNCT
ajst-19340	33	1	correspondingly	correspondingly	ADV
ajst-19340	33	2	,	,	PUNCT
ajst-19340	33	3	the	the	DET
ajst-19340	33	4	output	output	NOUN
ajst-19340	33	5	can	can	AUX
ajst-19340	33	6	be	be	AUX
ajst-19340	33	7	defined	define	VERB
ajst-19340	33	8	as	as	ADP
ajst-19340	33	9	a	a	DET
ajst-19340	33	10	label	label	NOUN
ajst-19340	33	11	sequence	sequence	NOUN
ajst-19340	33	12	𝑌	𝑌	PROPN
ajst-19340	33	13	𝑦	𝑦	PROPN
ajst-19340	33	14	,	,	PUNCT
ajst-19340	33	15	𝑦	𝑦	NOUN
ajst-19340	33	16	,	,	PUNCT
ajst-19340	33	17	…	…	PUNCT
ajst-19340	33	18	,	,	PUNCT
ajst-19340	33	19	𝑦	𝑦	NOUN
ajst-19340	33	20	,	,	PUNCT
ajst-19340	33	21	where	where	SCONJ
ajst-19340	33	22	𝑦	𝑦	NOUN
ajst-19340	33	23	is	be	AUX
ajst-19340	33	24	the	the	DET
ajst-19340	33	25	part	part	NOUN
ajst-19340	33	26	-	-	PUNCT
ajst-19340	33	27	of	of	ADP
ajst-19340	33	28	-	-	PUNCT
ajst-19340	33	29	speech	speech	NOUN
ajst-19340	33	30	tag	tag	NOUN
ajst-19340	33	31	corresponding	correspond	VERB
ajst-19340	33	32	to	to	ADP
ajst-19340	33	33	xi	xi	PROPN
ajst-19340	33	34	,	,	PUNCT
ajst-19340	33	35	and	and	CCONJ
ajst-19340	33	36	n	n	CCONJ
ajst-19340	33	37	represents	represent	VERB
ajst-19340	33	38	the	the	DET
ajst-19340	33	39	length	length	NOUN
ajst-19340	33	40	of	of	ADP
ajst-19340	33	41	the	the	DET
ajst-19340	33	42	label	label	NOUN
ajst-19340	33	43	sequence	sequence	NOUN
ajst-19340	33	44	.	.	PUNCT
ajst-19340	34	1	the	the	DET
ajst-19340	34	2	goal	goal	NOUN
ajst-19340	34	3	of	of	ADP
ajst-19340	34	4	the	the	DET
ajst-19340	34	5	part	part	NOUN
ajst-19340	34	6	-	-	PUNCT
ajst-19340	34	7	of	of	ADP
ajst-19340	34	8	-	-	PUNCT
ajst-19340	34	9	speech	speech	NOUN
ajst-19340	34	10	tagging	tagging	NOUN
ajst-19340	34	11	task	task	NOUN
ajst-19340	34	12	is	be	AUX
ajst-19340	34	13	to	to	PART
ajst-19340	34	14	learn	learn	VERB
ajst-19340	34	15	a	a	DET
ajst-19340	34	16	mapping	mapping	NOUN
ajst-19340	34	17	function	function	NOUN
ajst-19340	34	18	𝑓	𝑓	PRON
ajst-19340	34	19	,	,	PUNCT
ajst-19340	34	20	which	which	PRON
ajst-19340	34	21	maps	map	VERB
ajst-19340	34	22	the	the	DET
ajst-19340	34	23	input	input	NOUN
ajst-19340	34	24	sequence	sequence	NOUN
ajst-19340	34	25	𝑋	𝑋	PROPN
ajst-19340	34	26	to	to	ADP
ajst-19340	34	27	the	the	DET
ajst-19340	34	28	output	output	NOUN
ajst-19340	34	29	sequence	sequence	NOUN
ajst-19340	34	30	y	y	PROPN
ajst-19340	34	31	,	,	PUNCT
ajst-19340	34	32	i.e.	i.e.	X
ajst-19340	34	33	,	,	PUNCT
ajst-19340	34	34	𝑓	𝑓	DET
ajst-19340	34	35	𝑋	𝑋	PROPN
ajst-19340	34	36	𝑌.	𝑌.	PROPN
ajst-19340	34	37	2.2	2.2	NUM
ajst-19340	34	38	.	.	PUNCT
ajst-19340	35	1	model	model	NOUN
ajst-19340	35	2	structure	structure	NOUN
ajst-19340	35	3	the	the	DET
ajst-19340	35	4	overall	overall	ADJ
ajst-19340	35	5	framework	framework	NOUN
ajst-19340	35	6	of	of	ADP
ajst-19340	35	7	the	the	DET
ajst-19340	35	8	model	model	NOUN
ajst-19340	35	9	presented	present	VERB
ajst-19340	35	10	in	in	ADP
ajst-19340	35	11	this	this	DET
ajst-19340	35	12	paper	paper	NOUN
ajst-19340	35	13	is	be	AUX
ajst-19340	35	14	illustrated	illustrate	VERB
ajst-19340	35	15	in	in	ADP
ajst-19340	35	16	figure	figure	NOUN
ajst-19340	35	17	2	2	NUM
ajst-19340	35	18	.	.	PUNCT
ajst-19340	36	1	it	it	PRON
ajst-19340	36	2	is	be	AUX
ajst-19340	36	3	divided	divide	VERB
ajst-19340	36	4	into	into	ADP
ajst-19340	36	5	several	several	ADJ
ajst-19340	36	6	key	key	ADJ
ajst-19340	36	7	components	component	NOUN
ajst-19340	36	8	:	:	PUNCT
ajst-19340	36	9	the	the	DET
ajst-19340	36	10	template	template	NOUN
ajst-19340	36	11	filling	fill	VERB
ajst-19340	36	12	part	part	NOUN
ajst-19340	36	13	(	(	PUNCT
ajst-19340	36	14	template	template	NOUN
ajst-19340	36	15	)	)	PUNCT
ajst-19340	36	16	,	,	PUNCT
ajst-19340	36	17	the	the	DET
ajst-19340	36	18	tokenizer	tokenizer	NOUN
ajst-19340	36	19	(	(	PUNCT
ajst-19340	36	20	for	for	ADP
ajst-19340	36	21	transforming	transform	VERB
ajst-19340	36	22	input	input	NOUN
ajst-19340	36	23	into	into	ADP
ajst-19340	36	24	a	a	DET
ajst-19340	36	25	format	format	NOUN
ajst-19340	36	26	suitable	suitable	ADJ
ajst-19340	36	27	for	for	ADP
ajst-19340	36	28	the	the	DET
ajst-19340	36	29	pretrained	pretraine	VERB
ajst-19340	36	30	language	language	NOUN
ajst-19340	36	31	model	model	NOUN
ajst-19340	36	32	)	)	PUNCT
ajst-19340	36	33	,	,	PUNCT
ajst-19340	36	34	the	the	DET
ajst-19340	36	35	pretrained	pretraine	VERB
ajst-19340	36	36	language	language	NOUN
ajst-19340	36	37	model	model	NOUN
ajst-19340	36	38	part	part	NOUN
ajst-19340	36	39	(	(	PUNCT
ajst-19340	36	40	plm	plm	PROPN
ajst-19340	36	41	)	)	PUNCT
ajst-19340	36	42	,	,	PUNCT
ajst-19340	36	43	and	and	CCONJ
ajst-19340	36	44	the	the	DET
ajst-19340	36	45	hidden	hide	VERB
ajst-19340	36	46	markov	markov	NOUN
ajst-19340	36	47	model	model	NOUN
ajst-19340	36	48	part	part	NOUN
ajst-19340	36	49	(	(	PUNCT
ajst-19340	36	50	hmm	hmm	INTJ
ajst-19340	36	51	)	)	PUNCT
ajst-19340	36	52	.	.	PUNCT
ajst-19340	37	1	as	as	SCONJ
ajst-19340	37	2	shown	show	VERB
ajst-19340	37	3	in	in	ADP
ajst-19340	37	4	figure	figure	NOUN
ajst-19340	37	5	2	2	NUM
ajst-19340	37	6	,	,	PUNCT
ajst-19340	37	7	the	the	DET
ajst-19340	37	8	process	process	NOUN
ajst-19340	37	9	of	of	ADP
ajst-19340	37	10	part	part	NOUN
ajst-19340	37	11	-	-	PUNCT
ajst-19340	37	12	of	of	ADP
ajst-19340	37	13	-	-	PUNCT
ajst-19340	37	14	speech	speech	NOUN
ajst-19340	37	15	tagging	tagging	NOUN
ajst-19340	37	16	for	for	ADP
ajst-19340	37	17	the	the	DET
ajst-19340	37	18	pulse	pulse	NOUN
ajst-19340	37	19	diagnosis	diagnosis	NOUN
ajst-19340	37	20	information	information	NOUN
ajst-19340	37	21	phrase	phrase	NOUN
ajst-19340	37	22	"	"	PUNCT
ajst-19340	37	23	脉浮起	脉浮起	NOUN
ajst-19340	37	24	"	"	PUNCT
ajst-19340	37	25	(	(	PUNCT
ajst-19340	37	26	in	in	ADP
ajst-19340	37	27	english	english	PROPN
ajst-19340	37	28	,	,	PUNCT
ajst-19340	37	29	"	"	PUNCT
ajst-19340	37	30	floating	float	VERB
ajst-19340	37	31	pulse	pulse	NOUN
ajst-19340	37	32	"	"	PUNCT
ajst-19340	37	33	)	)	PUNCT
ajst-19340	37	34	using	use	VERB
ajst-19340	37	35	the	the	DET
ajst-19340	37	36	proposed	propose	VERB
ajst-19340	37	37	model	model	NOUN
ajst-19340	37	38	can	can	AUX
ajst-19340	37	39	be	be	AUX
ajst-19340	37	40	broken	break	VERB
ajst-19340	37	41	down	down	ADP
ajst-19340	37	42	into	into	ADP
ajst-19340	37	43	the	the	DET
ajst-19340	37	44	following	follow	VERB
ajst-19340	37	45	steps	step	NOUN
ajst-19340	37	46	:	:	PUNCT
ajst-19340	37	47	1	1	X
ajst-19340	37	48	.	.	X
ajst-19340	37	49	input	input	VERB
ajst-19340	37	50	the	the	DET
ajst-19340	37	51	segmented	segment	VERB
ajst-19340	37	52	traditional	traditional	ADJ
ajst-19340	37	53	chinese	chinese	ADJ
ajst-19340	37	54	medicine	medicine	NOUN
ajst-19340	37	55	clinical	clinical	ADJ
ajst-19340	37	56	pulse	pulse	NOUN
ajst-19340	37	57	feeling	feeling	NOUN
ajst-19340	37	58	and	and	CCONJ
ajst-19340	37	59	palpation	palpation	NOUN
ajst-19340	37	60	information	information	NOUN
ajst-19340	37	61	into	into	ADP
ajst-19340	37	62	the	the	DET
ajst-19340	37	63	prompt	prompt	ADJ
ajst-19340	37	64	constructor	constructor	NOUN
ajst-19340	37	65	,	,	PUNCT
ajst-19340	37	66	and	and	CCONJ
ajst-19340	37	67	construct	construct	VERB
ajst-19340	37	68	prompt	prompt	ADJ
ajst-19340	37	69	sentences	sentence	NOUN
ajst-19340	37	70	corresponding	correspond	VERB
ajst-19340	37	71	to	to	ADP
ajst-19340	37	72	each	each	DET
ajst-19340	37	73	word	word	NOUN
ajst-19340	37	74	using	use	VERB
ajst-19340	37	75	templates	template	NOUN
ajst-19340	37	76	set	set	VERB
ajst-19340	37	77	according	accord	VERB
ajst-19340	37	78	to	to	ADP
ajst-19340	37	79	the	the	DET
ajst-19340	37	80	downstream	downstream	ADJ
ajst-19340	37	81	task	task	NOUN
ajst-19340	37	82	.	.	PUNCT
ajst-19340	38	1	2	2	X
ajst-19340	38	2	.	.	X
ajst-19340	38	3	use	use	VERB
ajst-19340	38	4	the	the	DET
ajst-19340	38	5	tokenizer	tokenizer	NOUN
ajst-19340	38	6	corresponding	correspond	VERB
ajst-19340	38	7	to	to	ADP
ajst-19340	38	8	the	the	DET
ajst-19340	38	9	pretrained	pretraine	VERB
ajst-19340	38	10	language	language	NOUN
ajst-19340	38	11	model	model	NOUN
ajst-19340	38	12	to	to	PART
ajst-19340	38	13	convert	convert	VERB
ajst-19340	38	14	the	the	DET
ajst-19340	38	15	prompt	prompt	ADJ
ajst-19340	38	16	sentences	sentence	NOUN
ajst-19340	38	17	into	into	ADP
ajst-19340	38	18	i	i	PROPN
ajst-19340	38	19	d	d	PROPN
ajst-19340	38	20	vectors	vector	NOUN
ajst-19340	38	21	that	that	PRON
ajst-19340	38	22	are	be	AUX
ajst-19340	38	23	representative	representative	ADJ
ajst-19340	38	24	in	in	ADP
ajst-19340	38	25	the	the	DET
ajst-19340	38	26	model	model	NOUN
ajst-19340	38	27	's	's	PART
ajst-19340	38	28	vocabulary	vocabulary	NOUN
ajst-19340	38	29	.	.	PUNCT
ajst-19340	39	1	3	3	X
ajst-19340	39	2	.	.	X
ajst-19340	39	3	sequentially	sequentially	ADV
ajst-19340	39	4	input	input	VERB
ajst-19340	39	5	the	the	DET
ajst-19340	39	6	i	i	PROPN
ajst-19340	39	7	d	d	PROPN
ajst-19340	39	8	vectors	vector	NOUN
ajst-19340	39	9	into	into	ADP
ajst-19340	39	10	the	the	DET
ajst-19340	39	11	pretrained	pretraine	VERB
ajst-19340	39	12	language	language	NOUN
ajst-19340	39	13	model	model	NOUN
ajst-19340	39	14	for	for	ADP
ajst-19340	39	15	cloze	cloze	NOUN
ajst-19340	39	16	tasks	task	NOUN
ajst-19340	39	17	and	and	CCONJ
ajst-19340	39	18	obtain	obtain	VERB
ajst-19340	39	19	the	the	DET
ajst-19340	39	20	output	output	NOUN
ajst-19340	39	21	results	result	NOUN
ajst-19340	39	22	for	for	ADP
ajst-19340	39	23	the	the	DET
ajst-19340	39	24	'	'	PUNCT
ajst-19340	39	25	[	[	X
ajst-19340	39	26	mask	mask	NOUN
ajst-19340	39	27	]	]	PUNCT
ajst-19340	39	28	'	'	PUNCT
ajst-19340	39	29	token	token	ADJ
ajst-19340	39	30	position	position	NOUN
ajst-19340	39	31	from	from	ADP
ajst-19340	39	32	the	the	DET
ajst-19340	39	33	pretrained	pretraine	VERB
ajst-19340	39	34	language	language	NOUN
ajst-19340	39	35	model	model	NOUN
ajst-19340	39	36	.	.	PUNCT
ajst-19340	40	1	4	4	X
ajst-19340	40	2	.	.	X
ajst-19340	40	3	extract	extract	VERB
ajst-19340	40	4	the	the	DET
ajst-19340	40	5	part	part	NOUN
ajst-19340	40	6	of	of	ADP
ajst-19340	40	7	the	the	DET
ajst-19340	40	8	cloze	cloze	NOUN
ajst-19340	40	9	task	task	NOUN
ajst-19340	40	10	results	result	NOUN
ajst-19340	40	11	corresponding	correspond	VERB
ajst-19340	40	12	to	to	ADP
ajst-19340	40	13	the	the	DET
ajst-19340	40	14	part	part	NOUN
ajst-19340	40	15	-	-	PUNCT
ajst-19340	40	16	of	of	ADP
ajst-19340	40	17	-	-	PUNCT
ajst-19340	40	18	speech	speech	NOUN
ajst-19340	40	19	labels	label	NOUN
ajst-19340	40	20	from	from	ADP
ajst-19340	40	21	the	the	DET
ajst-19340	40	22	pretrained	pretraine	VERB
ajst-19340	40	23	language	language	NOUN
ajst-19340	40	24	model	model	NOUN
ajst-19340	40	25	,	,	PUNCT
ajst-19340	40	26	and	and	CCONJ
ajst-19340	40	27	add	add	VERB
ajst-19340	40	28	these	these	DET
ajst-19340	40	29	extracted	extract	VERB
ajst-19340	40	30	results	result	NOUN
ajst-19340	40	31	into	into	ADP
ajst-19340	40	32	the	the	DET
ajst-19340	40	33	emission	emission	NOUN
ajst-19340	40	34	matrix	matrix	NOUN
ajst-19340	40	35	of	of	ADP
ajst-19340	40	36	the	the	DET
ajst-19340	40	37	viterbi	viterbi	ADJ
ajst-19340	40	38	algorithm	algorithm	NOUN
ajst-19340	40	39	.	.	PUNCT
ajst-19340	41	1	this	this	DET
ajst-19340	41	2	step	step	NOUN
ajst-19340	41	3	advances	advance	VERB
ajst-19340	41	4	the	the	DET
ajst-19340	41	5	viterbi	viterbi	ADJ
ajst-19340	41	6	algorithm	algorithm	NOUN
ajst-19340	41	7	to	to	PART
ajst-19340	41	8	calculate	calculate	VERB
ajst-19340	41	9	the	the	DET
ajst-19340	41	10	next	next	ADJ
ajst-19340	41	11	round	round	NOUN
ajst-19340	41	12	and	and	CCONJ
ajst-19340	41	13	outputs	output	VERB
ajst-19340	41	14	the	the	DET
ajst-19340	41	15	optimal	optimal	ADJ
ajst-19340	41	16	part	part	ADJ
ajst-19340	41	17	-	-	ADJ
ajst-19340	41	18	ofspeech	ofspeech	ADJ
ajst-19340	41	19	tag	tag	NOUN
ajst-19340	41	20	for	for	ADP
ajst-19340	41	21	the	the	DET
ajst-19340	41	22	current	current	ADJ
ajst-19340	41	23	word	word	NOUN
ajst-19340	41	24	.	.	PUNCT
ajst-19340	42	1	5	5	X
ajst-19340	42	2	.	.	X
ajst-19340	42	3	replace	replace	VERB
ajst-19340	42	4	the	the	DET
ajst-19340	42	5	part	part	NOUN
ajst-19340	42	6	-	-	PUNCT
ajst-19340	42	7	of	of	ADP
ajst-19340	42	8	-	-	PUNCT
ajst-19340	42	9	speech	speech	NOUN
ajst-19340	42	10	label	label	NOUN
ajst-19340	42	11	i	i	PROPN
ajst-19340	42	12	d	d	PROPN
ajst-19340	42	13	of	of	ADP
ajst-19340	42	14	the	the	DET
ajst-19340	42	15	current	current	ADJ
ajst-19340	42	16	word	word	NOUN
ajst-19340	42	17	into	into	ADP
ajst-19340	42	18	the	the	DET
ajst-19340	42	19	corresponding	correspond	VERB
ajst-19340	42	20	placeholder	placeholder	NOUN
ajst-19340	42	21	'	'	PROPN
ajst-19340	43	1	[	[	X
ajst-19340	43	2	p	p	X
ajst-19340	43	3	]	]	X
ajst-19340	43	4	'	'	PUNCT
ajst-19340	43	5	position	position	NOUN
ajst-19340	43	6	in	in	ADP
ajst-19340	43	7	the	the	DET
ajst-19340	43	8	next	next	ADJ
ajst-19340	43	9	prompt	prompt	ADJ
ajst-19340	43	10	sentence	sentence	NOUN
ajst-19340	43	11	,	,	PUNCT
ajst-19340	43	12	facilitating	facilitate	VERB
ajst-19340	43	13	the	the	DET
ajst-19340	43	14	part	part	NOUN
ajst-19340	43	15	-	-	PUNCT
ajst-19340	43	16	of	of	ADP
ajst-19340	43	17	-	-	PUNCT
ajst-19340	43	18	speech	speech	NOUN
ajst-19340	43	19	tagging	tagging	NOUN
ajst-19340	43	20	for	for	ADP
ajst-19340	43	21	the	the	DET
ajst-19340	43	22	next	next	ADJ
ajst-19340	43	23	word	word	NOUN
ajst-19340	43	24	.	.	PUNCT
ajst-19340	44	1	6	6	X
ajst-19340	44	2	.	.	X
ajst-19340	44	3	repeat	repeat	NOUN
ajst-19340	44	4	steps	step	NOUN
ajst-19340	44	5	1	1	NUM
ajst-19340	44	6	to	to	PART
ajst-19340	44	7	5	5	NUM
ajst-19340	44	8	until	until	SCONJ
ajst-19340	44	9	the	the	DET
ajst-19340	44	10	part	part	NOUN
ajst-19340	44	11	-	-	PUNCT
ajst-19340	44	12	of	of	ADP
ajst-19340	44	13	-	-	PUNCT
ajst-19340	44	14	speech	speech	NOUN
ajst-19340	44	15	tagging	tagging	NOUN
ajst-19340	44	16	for	for	ADP
ajst-19340	44	17	the	the	DET
ajst-19340	44	18	current	current	ADJ
ajst-19340	44	19	sentence	sentence	NOUN
ajst-19340	44	20	is	be	AUX
ajst-19340	44	21	completed	complete	VERB
ajst-19340	44	22	and	and	CCONJ
ajst-19340	44	23	output	output	VERB
ajst-19340	44	24	the	the	DET
ajst-19340	44	25	optimal	optimal	ADJ
ajst-19340	44	26	partof	partof	NOUN
ajst-19340	44	27	-	-	PUNCT
ajst-19340	44	28	speech	speech	NOUN
ajst-19340	44	29	tagging	tagging	NOUN
ajst-19340	44	30	sequence	sequence	NOUN
ajst-19340	44	31	.	.	PUNCT
ajst-19340	45	1	figure	figure	NOUN
ajst-19340	45	2	2	2	NUM
ajst-19340	45	3	.	.	PUNCT
ajst-19340	46	1	the	the	DET
ajst-19340	46	2	overall	overall	ADJ
ajst-19340	46	3	structure	structure	NOUN
ajst-19340	46	4	of	of	ADP
ajst-19340	46	5	the	the	DET
ajst-19340	46	6	model	model	NOUN
ajst-19340	46	7	in	in	ADP
ajst-19340	46	8	this	this	DET
ajst-19340	46	9	paper	paper	NOUN
ajst-19340	46	10	in	in	ADP
ajst-19340	46	11	the	the	DET
ajst-19340	46	12	work	work	NOUN
ajst-19340	46	13	presented	present	VERB
ajst-19340	46	14	in	in	ADP
ajst-19340	46	15	this	this	DET
ajst-19340	46	16	paper	paper	NOUN
ajst-19340	46	17	,	,	PUNCT
ajst-19340	46	18	the	the	DET
ajst-19340	46	19	prompt	prompt	ADJ
ajst-19340	46	20	template	template	NOUN
ajst-19340	46	21	is	be	AUX
ajst-19340	46	22	as	as	SCONJ
ajst-19340	46	23	shown	show	VERB
ajst-19340	46	24	in	in	ADP
ajst-19340	46	25	formula	formula	NOUN
ajst-19340	46	26	1	1	NUM
ajst-19340	46	27	.	.	PUNCT
ajst-19340	47	1	t(x	t(x	PROPN
ajst-19340	47	2	,	,	PUNCT
ajst-19340	47	3	𝑥i	𝑥i	ADP
ajst-19340	47	4	,	,	PUNCT
ajst-19340	47	5	xi-1	xi-1	PROPN
ajst-19340	47	6	,	,	PUNCT
ajst-19340	47	7	yi-1)=“在句子	yi-1)=“在句子	NOUN
ajst-19340	47	8	x	x	SYM
ajst-19340	47	9	中	中	NOUN
ajst-19340	47	10	,	,	PUNCT
ajst-19340	47	11	词语“xi	词语“xi	NUM
ajst-19340	47	12	”	"	PUNCT
ajst-19340	47	13	的前文如果是由“yi1	的前文如果是由“yi1	ADJ
ajst-19340	47	14	”	"	PUNCT
ajst-19340	47	15	词性的词语“xi-1”来修饰	词性的词语“xi-1”来修饰	NOUN
ajst-19340	47	16	,	,	PUNCT
ajst-19340	47	17	那么词语“xi”的词性是“[mask	那么词语“xi”的词性是“[mask	PROPN
ajst-19340	47	18	]	]	X
ajst-19340	47	19	”	"	PUNCT
ajst-19340	47	20	”	"	PUNCT
ajst-19340	47	21	(	(	PUNCT
ajst-19340	47	22	1	1	X
ajst-19340	47	23	)	)	PUNCT
ajst-19340	47	24	in	in	ADP
ajst-19340	47	25	this	this	DET
ajst-19340	47	26	context	context	NOUN
ajst-19340	47	27	,	,	PUNCT
ajst-19340	47	28	xi	xi	PROPN
ajst-19340	47	29	represents	represent	VERB
ajst-19340	47	30	the	the	DET
ajst-19340	47	31	current	current	ADJ
ajst-19340	47	32	word	word	NOUN
ajst-19340	47	33	in	in	ADP
ajst-19340	47	34	the	the	DET
ajst-19340	47	35	input	input	NOUN
ajst-19340	47	36	sentence	sentence	NOUN
ajst-19340	47	37	whose	whose	DET
ajst-19340	47	38	part	part	NOUN
ajst-19340	47	39	of	of	ADP
ajst-19340	47	40	speech	speech	NOUN
ajst-19340	47	41	needs	need	VERB
ajst-19340	47	42	to	to	PART
ajst-19340	47	43	be	be	AUX
ajst-19340	47	44	predicted	predict	VERB
ajst-19340	47	45	,	,	PUNCT
ajst-19340	47	46	and	and	CCONJ
ajst-19340	47	47	xi-1	xi-1	X
ajst-19340	47	48	is	be	AUX
ajst-19340	47	49	the	the	DET
ajst-19340	47	50	word	word	NOUN
ajst-19340	47	51	preceding	precede	VERB
ajst-19340	47	52	the	the	DET
ajst-19340	47	53	target	target	NOUN
ajst-19340	47	54	word	word	NOUN
ajst-19340	47	55	.	.	PUNCT
ajst-19340	48	1	if	if	SCONJ
ajst-19340	48	2	the	the	DET
ajst-19340	48	3	current	current	ADJ
ajst-19340	48	4	position	position	NOUN
ajst-19340	48	5	i	i	PRON
ajst-19340	48	6	is	be	AUX
ajst-19340	48	7	0	0	NUM
ajst-19340	48	8	,	,	PUNCT
ajst-19340	48	9	then	then	ADV
ajst-19340	48	10	xi-1	xi-1	PUNCT
ajst-19340	48	11	is	be	AUX
ajst-19340	48	12	replaced	replace	VERB
ajst-19340	48	13	with	with	ADP
ajst-19340	48	14	“	"	PUNCT
ajst-19340	48	15	[	[	X
ajst-19340	48	16	cls	cls	NOUN
ajst-19340	48	17	]	]	PUNCT
ajst-19340	48	18	”	"	PUNCT
ajst-19340	48	19	.	.	PUNCT
ajst-19340	49	1	x	x	PRON
ajst-19340	49	2	denotes	denote	VERB
ajst-19340	49	3	the	the	DET
ajst-19340	49	4	entire	entire	ADJ
ajst-19340	49	5	input	input	NOUN
ajst-19340	49	6	sentence	sentence	NOUN
ajst-19340	49	7	,	,	PUNCT
ajst-19340	49	8	and	and	CCONJ
ajst-19340	49	9	xi-1	xi-1	X
ajst-19340	49	10	is	be	AUX
ajst-19340	49	11	the	the	DET
ajst-19340	49	12	word	word	NOUN
ajst-19340	49	13	preceding	precede	VERB
ajst-19340	49	14	xi	xi	ADP
ajst-19340	49	15	in	in	ADP
ajst-19340	49	16	the	the	DET
ajst-19340	49	17	sequence	sequence	NOUN
ajst-19340	49	18	.	.	PUNCT
ajst-19340	50	1	if	if	SCONJ
ajst-19340	50	2	xi	xi	PROPN
ajst-19340	50	3	is	be	AUX
ajst-19340	50	4	the	the	DET
ajst-19340	50	5	first	first	ADJ
ajst-19340	50	6	word	word	NOUN
ajst-19340	50	7	of	of	ADP
ajst-19340	50	8	the	the	DET
ajst-19340	50	9	sentence	sentence	NOUN
ajst-19340	50	10	,	,	PUNCT
ajst-19340	50	11	it	it	PRON
ajst-19340	50	12	is	be	AUX
ajst-19340	50	13	replaced	replace	VERB
ajst-19340	50	14	439	439	NUM
ajst-19340	50	15	with	with	ADP
ajst-19340	50	16	“	"	PUNCT
ajst-19340	50	17	[	[	X
ajst-19340	50	18	cls	cls	NOUN
ajst-19340	50	19	]	]	PUNCT
ajst-19340	50	20	”	"	PUNCT
ajst-19340	50	21	.	.	PUNCT
ajst-19340	51	1	similarly	similarly	ADV
ajst-19340	51	2	,	,	PUNCT
ajst-19340	51	3	yi-1	yi-1	NUM
ajst-19340	51	4	)	)	PUNCT
ajst-19340	51	5	represents	represent	VERB
ajst-19340	51	6	the	the	DET
ajst-19340	51	7	part	part	NOUN
ajst-19340	51	8	of	of	ADP
ajst-19340	51	9	speech	speech	NOUN
ajst-19340	51	10	of	of	ADP
ajst-19340	51	11	the	the	DET
ajst-19340	51	12	preceding	precede	VERB
ajst-19340	51	13	word	word	NOUN
ajst-19340	51	14	,	,	PUNCT
ajst-19340	51	15	and	and	CCONJ
ajst-19340	51	16	for	for	ADP
ajst-19340	51	17	the	the	DET
ajst-19340	51	18	first	first	ADJ
ajst-19340	51	19	word	word	NOUN
ajst-19340	51	20	xi	xi	NUM
ajst-19340	51	21	in	in	ADP
ajst-19340	51	22	the	the	DET
ajst-19340	51	23	sentence	sentence	NOUN
ajst-19340	51	24	,	,	PUNCT
ajst-19340	51	25	“	"	PUNCT
ajst-19340	51	26	[	[	X
ajst-19340	51	27	cls	cls	NOUN
ajst-19340	51	28	]	]	PUNCT
ajst-19340	51	29	”	"	PUNCT
ajst-19340	51	30	is	be	AUX
ajst-19340	51	31	also	also	ADV
ajst-19340	51	32	used	use	VERB
ajst-19340	51	33	to	to	PART
ajst-19340	51	34	represent	represent	VERB
ajst-19340	51	35	its	its	PRON
ajst-19340	51	36	part	part	NOUN
ajst-19340	51	37	of	of	ADP
ajst-19340	51	38	speech	speech	NOUN
ajst-19340	51	39	.	.	PUNCT
ajst-19340	52	1	using	use	VERB
ajst-19340	52	2	the	the	DET
ajst-19340	52	3	prompt	prompt	ADJ
ajst-19340	52	4	template	template	NOUN
ajst-19340	52	5	constructor	constructor	NOUN
ajst-19340	52	6	,	,	PUNCT
ajst-19340	52	7	each	each	DET
ajst-19340	52	8	word	word	NOUN
ajst-19340	52	9	xi	xi	X
ajst-19340	52	10	in	in	ADP
ajst-19340	52	11	the	the	DET
ajst-19340	52	12	input	input	NOUN
ajst-19340	52	13	sentence	sentence	NOUN
ajst-19340	52	14	𝑋	𝑋	PROPN
ajst-19340	52	15	𝑥	𝑥	PROPN
ajst-19340	52	16	,	,	PUNCT
ajst-19340	52	17	𝑥	𝑥	X
ajst-19340	52	18	,	,	PUNCT
ajst-19340	52	19	…	…	PUNCT
ajst-19340	52	20	,	,	PUNCT
ajst-19340	52	21	𝑥	𝑥	PROPN
ajst-19340	52	22	is	be	AUX
ajst-19340	52	23	transformed	transform	VERB
ajst-19340	52	24	into	into	ADP
ajst-19340	52	25	a	a	DET
ajst-19340	52	26	corresponding	correspond	VERB
ajst-19340	52	27	prompt	prompt	ADJ
ajst-19340	52	28	sentence	sentence	NOUN
ajst-19340	52	29	.	.	PUNCT
ajst-19340	53	1	therefore	therefore	ADV
ajst-19340	53	2	,	,	PUNCT
ajst-19340	53	3	for	for	ADP
ajst-19340	53	4	a	a	DET
ajst-19340	53	5	sentence	sentence	NOUN
ajst-19340	53	6	containing	contain	VERB
ajst-19340	53	7	n	n	DET
ajst-19340	53	8	words	word	NOUN
ajst-19340	53	9	,	,	PUNCT
ajst-19340	53	10	this	this	DET
ajst-19340	53	11	function	function	NOUN
ajst-19340	53	12	will	will	AUX
ajst-19340	53	13	output	output	VERB
ajst-19340	53	14	n	n	DET
ajst-19340	53	15	prompt	prompt	ADJ
ajst-19340	53	16	sentences	sentence	NOUN
ajst-19340	53	17	.	.	PUNCT
ajst-19340	54	1	each	each	DET
ajst-19340	54	2	prompt	prompt	ADJ
ajst-19340	54	3	sentence	sentence	NOUN
ajst-19340	54	4	includes	include	VERB
ajst-19340	54	5	five	five	NUM
ajst-19340	54	6	new	new	ADJ
ajst-19340	54	7	input	input	NOUN
ajst-19340	54	8	components	component	NOUN
ajst-19340	54	9	:	:	PUNCT
ajst-19340	54	10	the	the	DET
ajst-19340	54	11	original	original	ADJ
ajst-19340	54	12	sentence	sentence	NOUN
ajst-19340	54	13	x	x	NOUN
ajst-19340	54	14	,	,	PUNCT
ajst-19340	54	15	the	the	DET
ajst-19340	54	16	current	current	ADJ
ajst-19340	54	17	word	word	NOUN
ajst-19340	54	18	xi	xi	PROPN
ajst-19340	54	19	,	,	PUNCT
ajst-19340	54	20	the	the	DET
ajst-19340	54	21	word	word	NOUN
ajst-19340	54	22	preceding	precede	VERB
ajst-19340	54	23	the	the	DET
ajst-19340	54	24	current	current	ADJ
ajst-19340	54	25	word	word	NOUN
ajst-19340	54	26	xi-1	xi-1	PUNCT
ajst-19340	54	27	(	(	PUNCT
ajst-19340	54	28	replaced	replace	VERB
ajst-19340	54	29	with	with	ADP
ajst-19340	54	30	“	"	PUNCT
ajst-19340	54	31	[	[	X
ajst-19340	54	32	cls	cls	NOUN
ajst-19340	54	33	]	]	PUNCT
ajst-19340	54	34	”	"	PUNCT
ajst-19340	54	35	if	if	SCONJ
ajst-19340	54	36	xi	xi	PROPN
ajst-19340	54	37	is	be	AUX
ajst-19340	54	38	the	the	DET
ajst-19340	54	39	first	first	ADJ
ajst-19340	54	40	word	word	NOUN
ajst-19340	54	41	)	)	PUNCT
ajst-19340	54	42	,	,	PUNCT
ajst-19340	54	43	the	the	DET
ajst-19340	54	44	part	part	NOUN
ajst-19340	54	45	of	of	ADP
ajst-19340	54	46	speech	speech	NOUN
ajst-19340	54	47	of	of	ADP
ajst-19340	54	48	the	the	DET
ajst-19340	54	49	word	word	NOUN
ajst-19340	54	50	preceding	precede	VERB
ajst-19340	54	51	xi	xi	ADP
ajst-19340	54	52	yi-1	yi-1	PUNCT
ajst-19340	54	53	(	(	PUNCT
ajst-19340	54	54	also	also	ADV
ajst-19340	54	55	replaced	replace	VERB
ajst-19340	54	56	with	with	ADP
ajst-19340	54	57	“	"	PUNCT
ajst-19340	54	58	[	[	X
ajst-19340	54	59	cls	cls	NOUN
ajst-19340	54	60	]	]	PUNCT
ajst-19340	54	61	”	"	PUNCT
ajst-19340	54	62	if	if	SCONJ
ajst-19340	54	63	xi	xi	PROPN
ajst-19340	54	64	is	be	AUX
ajst-19340	54	65	the	the	DET
ajst-19340	54	66	first	first	ADJ
ajst-19340	54	67	word	word	NOUN
ajst-19340	54	68	)	)	PUNCT
ajst-19340	54	69	,	,	PUNCT
ajst-19340	54	70	and	and	CCONJ
ajst-19340	54	71	the	the	DET
ajst-19340	54	72	masked	mask	VERB
ajst-19340	54	73	token	token	NOUN
ajst-19340	55	1	[	[	X
ajst-19340	55	2	mask	mask	NOUN
ajst-19340	55	3	]	]	PUNCT
ajst-19340	55	4	in	in	ADP
ajst-19340	55	5	the	the	DET
ajst-19340	55	6	prompt	prompt	ADJ
ajst-19340	55	7	template	template	NOUN
ajst-19340	55	8	.	.	PUNCT
ajst-19340	56	1	in	in	ADP
ajst-19340	56	2	this	this	DET
ajst-19340	56	3	paper	paper	NOUN
ajst-19340	56	4	,	,	PUNCT
ajst-19340	56	5	information	information	NOUN
ajst-19340	56	6	about	about	ADP
ajst-19340	56	7	the	the	DET
ajst-19340	56	8	previous	previous	ADJ
ajst-19340	56	9	word	word	NOUN
ajst-19340	56	10	and	and	CCONJ
ajst-19340	56	11	its	its	PRON
ajst-19340	56	12	part	part	NOUN
ajst-19340	56	13	of	of	ADP
ajst-19340	56	14	speech	speech	NOUN
ajst-19340	56	15	is	be	AUX
ajst-19340	56	16	incorporated	incorporate	VERB
ajst-19340	56	17	into	into	ADP
ajst-19340	56	18	the	the	DET
ajst-19340	56	19	prompt	prompt	ADJ
ajst-19340	56	20	template	template	NOUN
ajst-19340	56	21	,	,	PUNCT
ajst-19340	56	22	prompting	prompt	VERB
ajst-19340	56	23	the	the	DET
ajst-19340	56	24	pretrained	pretraine	VERB
ajst-19340	56	25	language	language	NOUN
ajst-19340	56	26	model	model	NOUN
ajst-19340	56	27	to	to	PART
ajst-19340	56	28	consider	consider	VERB
ajst-19340	56	29	the	the	DET
ajst-19340	56	30	part	part	NOUN
ajst-19340	56	31	of	of	ADP
ajst-19340	56	32	speech	speech	NOUN
ajst-19340	56	33	of	of	ADP
ajst-19340	56	34	the	the	DET
ajst-19340	56	35	preceding	precede	VERB
ajst-19340	56	36	word	word	NOUN
ajst-19340	56	37	when	when	SCONJ
ajst-19340	56	38	predicting	predict	VERB
ajst-19340	56	39	the	the	DET
ajst-19340	56	40	part	part	NOUN
ajst-19340	56	41	of	of	ADP
ajst-19340	56	42	speech	speech	NOUN
ajst-19340	56	43	for	for	ADP
ajst-19340	56	44	the	the	DET
ajst-19340	56	45	current	current	ADJ
ajst-19340	56	46	word	word	NOUN
ajst-19340	56	47	.	.	PUNCT
ajst-19340	57	1	additionally	additionally	ADV
ajst-19340	57	2	,	,	PUNCT
ajst-19340	57	3	the	the	DET
ajst-19340	57	4	inclusion	inclusion	NOUN
ajst-19340	57	5	of	of	ADP
ajst-19340	57	6	the	the	DET
ajst-19340	57	7	original	original	ADJ
ajst-19340	57	8	sentence	sentence	NOUN
ajst-19340	57	9	emphasizes	emphasize	VERB
ajst-19340	57	10	the	the	DET
ajst-19340	57	11	importance	importance	NOUN
ajst-19340	57	12	of	of	ADP
ajst-19340	57	13	the	the	DET
ajst-19340	57	14	global	global	ADJ
ajst-19340	57	15	context	context	NOUN
ajst-19340	57	16	of	of	ADP
ajst-19340	57	17	the	the	DET
ajst-19340	57	18	text	text	NOUN
ajst-19340	57	19	to	to	PART
ajst-19340	57	20	be	be	AUX
ajst-19340	57	21	annotated	annotate	VERB
ajst-19340	57	22	for	for	ADP
ajst-19340	57	23	predicting	predict	VERB
ajst-19340	57	24	the	the	DET
ajst-19340	57	25	part	part	NOUN
ajst-19340	57	26	of	of	ADP
ajst-19340	57	27	speech	speech	NOUN
ajst-19340	57	28	of	of	ADP
ajst-19340	57	29	the	the	DET
ajst-19340	57	30	current	current	ADJ
ajst-19340	57	31	word	word	NOUN
ajst-19340	57	32	.	.	PUNCT
ajst-19340	58	1	table	table	NOUN
ajst-19340	58	2	1	1	NUM
ajst-19340	58	3	shows	show	VERB
ajst-19340	58	4	the	the	DET
ajst-19340	58	5	prompt	prompt	ADJ
ajst-19340	58	6	sentences	sentence	NOUN
ajst-19340	58	7	constructed	construct	VERB
ajst-19340	58	8	using	use	VERB
ajst-19340	58	9	the	the	DET
ajst-19340	58	10	prompt	prompt	ADJ
ajst-19340	58	11	template	template	NOUN
ajst-19340	58	12	when	when	SCONJ
ajst-19340	58	13	x	x	PROPN
ajst-19340	58	14	=	=	PRON
ajst-19340	58	15	{	{	PUNCT
ajst-19340	58	16	"	"	PUNCT
ajst-19340	58	17	脉	脉	NOUN
ajst-19340	58	18	"	"	PUNCT
ajst-19340	58	19	,	,	PUNCT
ajst-19340	58	20	"	"	PUNCT
ajst-19340	58	21	浮	浮	X
ajst-19340	58	22	"	"	PUNCT
ajst-19340	58	23	,	,	PUNCT
ajst-19340	58	24	"	"	PUNCT
ajst-19340	58	25	起	起	X
ajst-19340	58	26	"	"	PUNCT
ajst-19340	58	27	}	}	PUNCT
ajst-19340	58	28	.	.	PUNCT
ajst-19340	59	1	during	during	ADP
ajst-19340	59	2	the	the	DET
ajst-19340	59	3	construction	construction	NOUN
ajst-19340	59	4	of	of	ADP
ajst-19340	59	5	the	the	DET
ajst-19340	59	6	prompt	prompt	ADJ
ajst-19340	59	7	sentences	sentence	NOUN
ajst-19340	59	8	,	,	PUNCT
ajst-19340	59	9	since	since	SCONJ
ajst-19340	59	10	the	the	DET
ajst-19340	59	11	part	part	NOUN
ajst-19340	59	12	-	-	PUNCT
ajst-19340	59	13	of	of	ADP
ajst-19340	59	14	-	-	PUNCT
ajst-19340	59	15	speech	speech	NOUN
ajst-19340	59	16	tagging	tagging	NOUN
ajst-19340	59	17	has	have	AUX
ajst-19340	59	18	not	not	PART
ajst-19340	59	19	yet	yet	ADV
ajst-19340	59	20	begun	begin	VERB
ajst-19340	59	21	,	,	PUNCT
ajst-19340	59	22	the	the	DET
ajst-19340	59	23	part	part	NOUN
ajst-19340	59	24	of	of	ADP
ajst-19340	59	25	speech	speech	NOUN
ajst-19340	59	26	of	of	ADP
ajst-19340	59	27	the	the	DET
ajst-19340	59	28	preceding	precede	VERB
ajst-19340	59	29	word	word	NOUN
ajst-19340	59	30	is	be	AUX
ajst-19340	59	31	unknown	unknown	ADJ
ajst-19340	59	32	.	.	PUNCT
ajst-19340	60	1	therefore	therefore	ADV
ajst-19340	60	2	,	,	PUNCT
ajst-19340	60	3	this	this	DET
ajst-19340	60	4	paper	paper	NOUN
ajst-19340	60	5	uses	use	VERB
ajst-19340	60	6	"	"	PUNCT
ajst-19340	60	7	[	[	X
ajst-19340	60	8	p	p	X
ajst-19340	60	9	]	]	X
ajst-19340	60	10	"	"	PUNCT
ajst-19340	60	11	as	as	ADP
ajst-19340	60	12	a	a	DET
ajst-19340	60	13	placeholder	placeholder	NOUN
ajst-19340	60	14	to	to	PART
ajst-19340	60	15	temporarily	temporarily	ADV
ajst-19340	60	16	represent	represent	VERB
ajst-19340	60	17	the	the	DET
ajst-19340	60	18	part	part	NOUN
ajst-19340	60	19	of	of	ADP
ajst-19340	60	20	speech	speech	NOUN
ajst-19340	60	21	,	,	PUNCT
ajst-19340	60	22	which	which	PRON
ajst-19340	60	23	will	will	AUX
ajst-19340	60	24	be	be	AUX
ajst-19340	60	25	replaced	replace	VERB
ajst-19340	60	26	once	once	ADV
ajst-19340	60	27	the	the	DET
ajst-19340	60	28	part	part	NOUN
ajst-19340	60	29	of	of	ADP
ajst-19340	60	30	speech	speech	NOUN
ajst-19340	60	31	for	for	ADP
ajst-19340	60	32	that	that	DET
ajst-19340	60	33	word	word	NOUN
ajst-19340	60	34	is	be	AUX
ajst-19340	60	35	predicted	predict	VERB
ajst-19340	60	36	.	.	PUNCT
ajst-19340	61	1	table	table	NOUN
ajst-19340	61	2	1	1	NUM
ajst-19340	61	3	.	.	PUNCT
ajst-19340	62	1	sentence	sentence	NOUN
ajst-19340	62	2	x	x	PUNCT
ajst-19340	62	3	and	and	CCONJ
ajst-19340	62	4	prompt	prompt	ADJ
ajst-19340	62	5	sentences	sentence	NOUN
ajst-19340	62	6	generated	generate	VERB
ajst-19340	62	7	by	by	ADP
ajst-19340	62	8	prompt	prompt	ADJ
ajst-19340	62	9	template	template	NOUN
ajst-19340	62	10	t	t	PROPN
ajst-19340	62	11	输入的样例句子	输入的样例句子	NOUN
ajst-19340	62	12	脉	脉	PROPN
ajst-19340	62	13	浮	浮	NUM
ajst-19340	62	14	起	起	PROPN
ajst-19340	62	15	通过提示模板	通过提示模板	ADP
ajst-19340	62	16	t	t	X
ajst-19340	62	17	生成的提示句子	生成的提示句子	PROPN
ajst-19340	62	18	在句子“脉浮起”中，词语“脉”的前文如果是由“[cls	在句子“脉浮起”中，词语“脉”的前文如果是由“[cls	NUM
ajst-19340	62	19	]	]	PUNCT
ajst-19340	62	20	”	"	PUNCT
ajst-19340	62	21	词性的词	词性的词	PROPN
ajst-19340	62	22	语“[cls]”来修饰，那么词语“肘”的词性是“[mask	语“[cls]”来修饰，那么词语“肘”的词性是“[mask	NOUN
ajst-19340	62	23	]	]	PUNCT
ajst-19340	62	24	”	"	PUNCT
ajst-19340	62	25	在句子“脉浮起”中，词语“浮”的前文如果是由“[p	在句子“脉浮起”中，词语“浮”的前文如果是由“[p	PUNCT
ajst-19340	62	26	]	]	X
ajst-19340	62	27	”	"	PUNCT
ajst-19340	62	28	词性的词语	词性的词语	NUM
ajst-19340	62	29	“	"	PUNCT
ajst-19340	62	30	脉”来修饰，那么词语“浮”的词性是“[mask	脉”来修饰，那么词语“浮”的词性是“[mask	NOUN
ajst-19340	62	31	]	]	X
ajst-19340	62	32	”	"	PUNCT
ajst-19340	62	33	在句子“脉浮起”中，词语“起”的前文如果是由“[p	在句子“脉浮起”中，词语“起”的前文如果是由“[p	PUNCT
ajst-19340	62	34	]	]	X
ajst-19340	62	35	”	"	PUNCT
ajst-19340	62	36	词性的词语	词性的词语	NUM
ajst-19340	62	37	“	"	PUNCT
ajst-19340	62	38	浮”来修饰，那么词语“起”的词性是“[mask	浮”来修饰，那么词语“起”的词性是“[mask	PROPN
ajst-19340	62	39	]	]	PUNCT
ajst-19340	62	40	”	"	PUNCT
ajst-19340	62	41	2.3	2.3	NUM
ajst-19340	62	42	.	.	PUNCT
ajst-19340	63	1	pre	pre	VERB
ajst-19340	63	2	-	-	ADJ
ajst-19340	63	3	trained	train	VERB
ajst-19340	63	4	language	language	NOUN
ajst-19340	63	5	model	model	NOUN
ajst-19340	63	6	layer	layer	NOUN
ajst-19340	63	7	in	in	ADP
ajst-19340	63	8	the	the	DET
ajst-19340	63	9	prompt	prompt	ADJ
ajst-19340	63	10	-	-	PUNCT
ajst-19340	63	11	tuning	tune	VERB
ajst-19340	63	12	paradigm	paradigm	NOUN
ajst-19340	63	13	of	of	ADP
ajst-19340	63	14	this	this	DET
ajst-19340	63	15	paper	paper	NOUN
ajst-19340	63	16	,	,	PUNCT
ajst-19340	63	17	the	the	DET
ajst-19340	63	18	task	task	NOUN
ajst-19340	63	19	of	of	ADP
ajst-19340	63	20	the	the	DET
ajst-19340	63	21	pre	pre	ADJ
ajst-19340	63	22	-	-	ADJ
ajst-19340	63	23	trained	train	VERB
ajst-19340	63	24	language	language	NOUN
ajst-19340	63	25	model	model	NOUN
ajst-19340	63	26	layer	layer	NOUN
ajst-19340	63	27	is	be	AUX
ajst-19340	63	28	to	to	PART
ajst-19340	63	29	leverage	leverage	VERB
ajst-19340	63	30	its	its	PRON
ajst-19340	63	31	extensive	extensive	ADJ
ajst-19340	63	32	pretrained	pretraine	VERB
ajst-19340	63	33	knowledge	knowledge	NOUN
ajst-19340	63	34	and	and	CCONJ
ajst-19340	63	35	representation	representation	NOUN
ajst-19340	63	36	ability	ability	NOUN
ajst-19340	63	37	to	to	PART
ajst-19340	63	38	more	more	ADV
ajst-19340	63	39	comprehensively	comprehensively	ADV
ajst-19340	63	40	capture	capture	VERB
ajst-19340	63	41	the	the	DET
ajst-19340	63	42	contextual	contextual	ADJ
ajst-19340	63	43	information	information	NOUN
ajst-19340	63	44	of	of	ADP
ajst-19340	63	45	the	the	DET
ajst-19340	63	46	prompt	prompt	ADJ
ajst-19340	63	47	sentences	sentence	NOUN
ajst-19340	63	48	and	and	CCONJ
ajst-19340	63	49	to	to	PART
ajst-19340	63	50	fill	fill	VERB
ajst-19340	63	51	in	in	ADP
ajst-19340	63	52	the	the	DET
ajst-19340	63	53	masked	mask	VERB
ajst-19340	63	54	token	token	NOUN
ajst-19340	63	55	.	.	PUNCT
ajst-19340	64	1	in	in	ADP
ajst-19340	64	2	the	the	DET
ajst-19340	64	3	model	model	NOUN
ajst-19340	64	4	,	,	PUNCT
ajst-19340	64	5	the	the	DET
ajst-19340	64	6	default	default	NOUN
ajst-19340	64	7	output	output	NOUN
ajst-19340	64	8	of	of	ADP
ajst-19340	64	9	the	the	DET
ajst-19340	64	10	masked	mask	VERB
ajst-19340	64	11	language	language	NOUN
ajst-19340	64	12	model	model	NOUN
ajst-19340	64	13	is	be	AUX
ajst-19340	64	14	the	the	DET
ajst-19340	64	15	probability	probability	NOUN
ajst-19340	64	16	of	of	ADP
ajst-19340	64	17	inserting	insert	VERB
ajst-19340	64	18	each	each	DET
ajst-19340	64	19	word	word	NOUN
ajst-19340	64	20	in	in	ADP
ajst-19340	64	21	the	the	DET
ajst-19340	64	22	vocabulary	vocabulary	NOUN
ajst-19340	64	23	into	into	ADP
ajst-19340	64	24	the	the	DET
ajst-19340	64	25	“	"	PUNCT
ajst-19340	64	26	[	[	X
ajst-19340	64	27	mask	mask	NOUN
ajst-19340	64	28	]	]	PUNCT
ajst-19340	64	29	”	"	PUNCT
ajst-19340	64	30	position	position	NOUN
ajst-19340	64	31	.	.	PUNCT
ajst-19340	65	1	however	however	ADV
ajst-19340	65	2	,	,	PUNCT
ajst-19340	65	3	for	for	ADP
ajst-19340	65	4	part	part	NOUN
ajst-19340	65	5	-	-	PUNCT
ajst-19340	65	6	of	of	ADP
ajst-19340	65	7	-	-	PUNCT
ajst-19340	65	8	speech	speech	NOUN
ajst-19340	65	9	tagging	tagging	NOUN
ajst-19340	65	10	tasks	task	NOUN
ajst-19340	65	11	,	,	PUNCT
ajst-19340	65	12	the	the	DET
ajst-19340	65	13	model	model	NOUN
ajst-19340	65	14	needs	need	VERB
ajst-19340	65	15	the	the	DET
ajst-19340	65	16	probability	probability	NOUN
ajst-19340	65	17	of	of	ADP
ajst-19340	65	18	inserting	insert	VERB
ajst-19340	65	19	each	each	DET
ajst-19340	65	20	tag	tag	NOUN
ajst-19340	65	21	from	from	ADP
ajst-19340	65	22	the	the	DET
ajst-19340	65	23	dataset	dataset	NOUN
ajst-19340	65	24	's	's	PART
ajst-19340	65	25	tag	tag	NOUN
ajst-19340	65	26	set	set	VERB
ajst-19340	65	27	into	into	ADP
ajst-19340	65	28	the	the	DET
ajst-19340	65	29	“	"	PUNCT
ajst-19340	65	30	[	[	X
ajst-19340	65	31	mask	mask	NOUN
ajst-19340	65	32	]	]	PUNCT
ajst-19340	65	33	”	"	PUNCT
ajst-19340	65	34	position	position	NOUN
ajst-19340	65	35	.	.	PUNCT
ajst-19340	66	1	therefore	therefore	ADV
ajst-19340	66	2	,	,	PUNCT
ajst-19340	66	3	this	this	DET
ajst-19340	66	4	paper	paper	NOUN
ajst-19340	66	5	first	first	ADV
ajst-19340	66	6	adds	add	VERB
ajst-19340	66	7	the	the	DET
ajst-19340	66	8	dataset	dataset	NOUN
ajst-19340	66	9	's	's	PART
ajst-19340	66	10	tags	tag	NOUN
ajst-19340	66	11	into	into	ADP
ajst-19340	66	12	the	the	DET
ajst-19340	66	13	vocabulary	vocabulary	NOUN
ajst-19340	66	14	of	of	ADP
ajst-19340	66	15	the	the	DET
ajst-19340	66	16	masked	masked	ADJ
ajst-19340	66	17	language	language	NOUN
ajst-19340	66	18	model	model	NOUN
ajst-19340	66	19	.	.	PUNCT
ajst-19340	67	1	then	then	ADV
ajst-19340	67	2	,	,	PUNCT
ajst-19340	67	3	based	base	VERB
ajst-19340	67	4	on	on	ADP
ajst-19340	67	5	the	the	DET
ajst-19340	67	6	positions	position	NOUN
ajst-19340	67	7	of	of	ADP
ajst-19340	67	8	the	the	DET
ajst-19340	67	9	part	part	NOUN
ajst-19340	67	10	-	-	PUNCT
ajst-19340	67	11	of	of	ADP
ajst-19340	67	12	-	-	PUNCT
ajst-19340	67	13	speech	speech	NOUN
ajst-19340	67	14	tags	tag	NOUN
ajst-19340	67	15	in	in	ADP
ajst-19340	67	16	the	the	DET
ajst-19340	67	17	vocabulary	vocabulary	NOUN
ajst-19340	67	18	,	,	PUNCT
ajst-19340	67	19	the	the	DET
ajst-19340	67	20	output	output	NOUN
ajst-19340	67	21	of	of	ADP
ajst-19340	67	22	the	the	DET
ajst-19340	67	23	masked	mask	VERB
ajst-19340	67	24	language	language	NOUN
ajst-19340	67	25	model	model	NOUN
ajst-19340	67	26	is	be	AUX
ajst-19340	67	27	precisely	precisely	ADV
ajst-19340	67	28	trimmed	trim	VERB
ajst-19340	67	29	to	to	PART
ajst-19340	67	30	obtain	obtain	VERB
ajst-19340	67	31	the	the	DET
ajst-19340	67	32	probability	probability	NOUN
ajst-19340	67	33	vectors	vector	NOUN
ajst-19340	67	34	for	for	ADP
ajst-19340	67	35	each	each	DET
ajst-19340	67	36	part	part	NOUN
ajst-19340	67	37	-	-	PUNCT
ajst-19340	67	38	of	of	ADP
ajst-19340	67	39	-	-	PUNCT
ajst-19340	67	40	speech	speech	NOUN
ajst-19340	67	41	tag	tag	NOUN
ajst-19340	67	42	.	.	PUNCT
ajst-19340	68	1	these	these	DET
ajst-19340	68	2	vectors	vector	NOUN
ajst-19340	68	3	serve	serve	VERB
ajst-19340	68	4	as	as	ADP
ajst-19340	68	5	the	the	DET
ajst-19340	68	6	final	final	ADJ
ajst-19340	68	7	output	output	NOUN
ajst-19340	68	8	of	of	ADP
ajst-19340	68	9	the	the	DET
ajst-19340	68	10	pretrained	pretraine	VERB
ajst-19340	68	11	language	language	NOUN
ajst-19340	68	12	model	model	NOUN
ajst-19340	68	13	and	and	CCONJ
ajst-19340	68	14	are	be	AUX
ajst-19340	68	15	inputted	inputte	VERB
ajst-19340	68	16	into	into	ADP
ajst-19340	68	17	the	the	DET
ajst-19340	68	18	hidden	hide	VERB
ajst-19340	68	19	markov	markov	NOUN
ajst-19340	68	20	model	model	NOUN
ajst-19340	68	21	layer	layer	NOUN
ajst-19340	68	22	.	.	PUNCT
ajst-19340	69	1	2.4	2.4	NUM
ajst-19340	69	2	.	.	PUNCT
ajst-19340	70	1	hidden	hide	VERB
ajst-19340	70	2	markov	markov	NOUN
ajst-19340	70	3	model	model	NOUN
ajst-19340	70	4	layer	layer	NOUN
ajst-19340	70	5	the	the	DET
ajst-19340	70	6	hidden	hide	VERB
ajst-19340	70	7	markov	markov	NOUN
ajst-19340	70	8	model	model	NOUN
ajst-19340	70	9	(	(	PUNCT
ajst-19340	70	10	hmm	hmm	INTJ
ajst-19340	70	11	)	)	PUNCT
ajst-19340	70	12	is	be	AUX
ajst-19340	70	13	a	a	DET
ajst-19340	70	14	statistical	statistical	ADJ
ajst-19340	70	15	model	model	NOUN
ajst-19340	70	16	composed	compose	VERB
ajst-19340	70	17	of	of	ADP
ajst-19340	70	18	observation	observation	NOUN
ajst-19340	70	19	probabilities	probability	NOUN
ajst-19340	70	20	(	(	PUNCT
ajst-19340	70	21	emission	emission	NOUN
ajst-19340	70	22	probabilities	probability	NOUN
ajst-19340	70	23	)	)	PUNCT
ajst-19340	70	24	and	and	CCONJ
ajst-19340	70	25	state	state	NOUN
ajst-19340	70	26	transition	transition	NOUN
ajst-19340	70	27	probabilities	probability	NOUN
ajst-19340	70	28	.	.	PUNCT
ajst-19340	71	1	in	in	ADP
ajst-19340	71	2	this	this	DET
ajst-19340	71	3	paper	paper	NOUN
ajst-19340	71	4	's	's	PART
ajst-19340	71	5	task	task	NOUN
ajst-19340	71	6	,	,	PUNCT
ajst-19340	71	7	the	the	DET
ajst-19340	71	8	state	state	NOUN
ajst-19340	71	9	transition	transition	NOUN
ajst-19340	71	10	probabilities	probability	NOUN
ajst-19340	71	11	are	be	AUX
ajst-19340	71	12	learnable	learnable	ADJ
ajst-19340	71	13	parameters	parameter	NOUN
ajst-19340	71	14	,	,	PUNCT
ajst-19340	71	15	representing	represent	VERB
ajst-19340	71	16	the	the	DET
ajst-19340	71	17	probability	probability	NOUN
ajst-19340	71	18	of	of	ADP
ajst-19340	71	19	transitioning	transition	VERB
ajst-19340	71	20	from	from	ADP
ajst-19340	71	21	one	one	NUM
ajst-19340	71	22	part	part	NOUN
ajst-19340	71	23	-	-	PUNCT
ajst-19340	71	24	of	of	ADP
ajst-19340	71	25	-	-	PUNCT
ajst-19340	71	26	speech	speech	NOUN
ajst-19340	71	27	state	state	NOUN
ajst-19340	71	28	to	to	ADP
ajst-19340	71	29	another	another	PRON
ajst-19340	71	30	.	.	PUNCT
ajst-19340	72	1	the	the	DET
ajst-19340	72	2	observation	observation	NOUN
ajst-19340	72	3	probabilities	probability	NOUN
ajst-19340	72	4	correspond	correspond	VERB
ajst-19340	72	5	to	to	ADP
ajst-19340	72	6	the	the	DET
ajst-19340	72	7	pretrained	pretraine	VERB
ajst-19340	72	8	language	language	NOUN
ajst-19340	72	9	model	model	NOUN
ajst-19340	72	10	's	's	PART
ajst-19340	72	11	predicted	predict	VERB
ajst-19340	72	12	probabilities	probability	NOUN
ajst-19340	72	13	for	for	ADP
ajst-19340	72	14	the	the	DET
ajst-19340	72	15	'	'	PUNCT
ajst-19340	72	16	[	[	X
ajst-19340	72	17	mask	mask	NOUN
ajst-19340	72	18	]	]	PUNCT
ajst-19340	72	19	'	'	PUNCT
ajst-19340	72	20	position	position	NOUN
ajst-19340	72	21	.	.	PUNCT
ajst-19340	73	1	in	in	ADP
ajst-19340	73	2	part	part	NOUN
ajst-19340	73	3	-	-	PUNCT
ajst-19340	73	4	of	of	ADP
ajst-19340	73	5	-	-	PUNCT
ajst-19340	73	6	speech	speech	NOUN
ajst-19340	73	7	tagging	tagging	NOUN
ajst-19340	73	8	tasks	task	NOUN
ajst-19340	73	9	,	,	PUNCT
ajst-19340	73	10	the	the	DET
ajst-19340	73	11	hmm	hmm	NOUN
ajst-19340	73	12	can	can	AUX
ajst-19340	73	13	model	model	VERB
ajst-19340	73	14	the	the	DET
ajst-19340	73	15	dependencies	dependency	NOUN
ajst-19340	73	16	between	between	ADP
ajst-19340	73	17	the	the	DET
ajst-19340	73	18	parts	part	NOUN
ajst-19340	73	19	of	of	ADP
ajst-19340	73	20	speech	speech	NOUN
ajst-19340	73	21	of	of	ADP
ajst-19340	73	22	adjacent	adjacent	ADJ
ajst-19340	73	23	words	word	NOUN
ajst-19340	73	24	.	.	PUNCT
ajst-19340	74	1	it	it	PRON
ajst-19340	74	2	considers	consider	VERB
ajst-19340	74	3	the	the	DET
ajst-19340	74	4	dependency	dependency	NOUN
ajst-19340	74	5	of	of	ADP
ajst-19340	74	6	the	the	DET
ajst-19340	74	7	current	current	ADJ
ajst-19340	74	8	word	word	NOUN
ajst-19340	74	9	on	on	ADP
ajst-19340	74	10	the	the	DET
ajst-19340	74	11	previous	previous	ADJ
ajst-19340	74	12	word	word	NOUN
ajst-19340	74	13	,	,	PUNCT
ajst-19340	74	14	aligning	align	VERB
ajst-19340	74	15	with	with	ADP
ajst-19340	74	16	the	the	DET
ajst-19340	74	17	chain	chain	NOUN
ajst-19340	74	18	prediction	prediction	NOUN
ajst-19340	74	19	of	of	ADP
ajst-19340	74	20	the	the	DET
ajst-19340	74	21	current	current	ADJ
ajst-19340	74	22	part	part	NOUN
ajst-19340	74	23	-	-	PUNCT
ajst-19340	74	24	of	of	ADP
ajst-19340	74	25	-	-	PUNCT
ajst-19340	74	26	speech	speech	NOUN
ajst-19340	74	27	tagging	tagging	NOUN
ajst-19340	74	28	.	.	PUNCT
ajst-19340	75	1	this	this	DET
ajst-19340	75	2	approach	approach	NOUN
ajst-19340	75	3	more	more	ADV
ajst-19340	75	4	accurately	accurately	ADV
ajst-19340	75	5	captures	capture	VERB
ajst-19340	75	6	the	the	DET
ajst-19340	75	7	correlations	correlation	NOUN
ajst-19340	75	8	between	between	ADP
ajst-19340	75	9	the	the	DET
ajst-19340	75	10	parts	part	NOUN
ajst-19340	75	11	of	of	ADP
ajst-19340	75	12	speech	speech	NOUN
ajst-19340	75	13	of	of	ADP
ajst-19340	75	14	adjacent	adjacent	ADJ
ajst-19340	75	15	words	word	NOUN
ajst-19340	75	16	.	.	PUNCT
ajst-19340	76	1	there	there	PRON
ajst-19340	76	2	are	be	VERB
ajst-19340	76	3	mainly	mainly	ADV
ajst-19340	76	4	two	two	NUM
ajst-19340	76	5	decoding	decode	VERB
ajst-19340	76	6	methods	method	NOUN
ajst-19340	76	7	in	in	ADP
ajst-19340	76	8	the	the	DET
ajst-19340	76	9	prediction	prediction	NOUN
ajst-19340	76	10	part	part	NOUN
ajst-19340	76	11	of	of	ADP
ajst-19340	76	12	the	the	DET
ajst-19340	76	13	hmm	hmm	NOUN
ajst-19340	76	14	:	:	PUNCT
ajst-19340	76	15	approximation	approximation	NOUN
ajst-19340	76	16	algorithms	algorithm	NOUN
ajst-19340	76	17	and	and	CCONJ
ajst-19340	76	18	the	the	DET
ajst-19340	76	19	viterbi	viterbi	ADJ
ajst-19340	76	20	algorithm	algorithm	NOUN
ajst-19340	76	21	.	.	PUNCT
ajst-19340	77	1	approximation	approximation	NOUN
ajst-19340	77	2	algorithms	algorithm	NOUN
ajst-19340	77	3	are	be	AUX
ajst-19340	77	4	simpler	simple	ADJ
ajst-19340	77	5	to	to	PART
ajst-19340	77	6	compute	compute	VERB
ajst-19340	77	7	but	but	CCONJ
ajst-19340	77	8	can	can	AUX
ajst-19340	77	9	not	not	PART
ajst-19340	77	10	guarantee	guarantee	VERB
ajst-19340	77	11	that	that	SCONJ
ajst-19340	77	12	the	the	DET
ajst-19340	77	13	predicted	predict	VERB
ajst-19340	77	14	sequence	sequence	NOUN
ajst-19340	77	15	of	of	ADP
ajst-19340	77	16	part	part	NOUN
ajst-19340	77	17	-	-	ADJ
ajst-19340	77	18	ofspeech	ofspeech	ADJ
ajst-19340	77	19	tags	tag	NOUN
ajst-19340	77	20	is	be	AUX
ajst-19340	77	21	the	the	DET
ajst-19340	77	22	most	most	ADV
ajst-19340	77	23	likely	likely	ADJ
ajst-19340	77	24	overall	overall	ADJ
ajst-19340	77	25	state	state	NOUN
ajst-19340	77	26	sequence	sequence	NOUN
ajst-19340	77	27	.	.	PUNCT
ajst-19340	78	1	additionally	additionally	ADV
ajst-19340	78	2	,	,	PUNCT
ajst-19340	78	3	approximation	approximation	NOUN
ajst-19340	78	4	predictions	prediction	NOUN
ajst-19340	78	5	may	may	AUX
ajst-19340	78	6	encounter	encounter	VERB
ajst-19340	78	7	situations	situation	NOUN
ajst-19340	78	8	where	where	SCONJ
ajst-19340	78	9	adjacent	adjacent	ADJ
ajst-19340	78	10	transitions	transition	NOUN
ajst-19340	78	11	have	have	VERB
ajst-19340	78	12	a	a	DET
ajst-19340	78	13	probability	probability	NOUN
ajst-19340	78	14	of	of	ADP
ajst-19340	78	15	zero	zero	NUM
ajst-19340	78	16	.	.	PUNCT
ajst-19340	79	1	the	the	DET
ajst-19340	79	2	viterbi	viterbi	NOUN
ajst-19340	79	3	algorithm	algorithm	NOUN
ajst-19340	79	4	,	,	PUNCT
ajst-19340	79	5	on	on	ADP
ajst-19340	79	6	the	the	DET
ajst-19340	79	7	other	other	ADJ
ajst-19340	79	8	hand	hand	NOUN
ajst-19340	79	9	,	,	PUNCT
ajst-19340	79	10	uses	use	VERB
ajst-19340	79	11	dynamic	dynamic	ADJ
ajst-19340	79	12	programming	programming	NOUN
ajst-19340	79	13	to	to	PART
ajst-19340	79	14	find	find	VERB
ajst-19340	79	15	the	the	DET
ajst-19340	79	16	path	path	NOUN
ajst-19340	79	17	with	with	ADP
ajst-19340	79	18	the	the	DET
ajst-19340	79	19	highest	high	ADJ
ajst-19340	79	20	probability	probability	NOUN
ajst-19340	79	21	and	and	CCONJ
ajst-19340	79	22	is	be	AUX
ajst-19340	79	23	more	more	ADV
ajst-19340	79	24	accurate	accurate	ADJ
ajst-19340	79	25	than	than	ADP
ajst-19340	79	26	approximation	approximation	NOUN
ajst-19340	79	27	algorithms	algorithm	NOUN
ajst-19340	79	28	,	,	PUNCT
ajst-19340	79	29	but	but	CCONJ
ajst-19340	79	30	it	it	PRON
ajst-19340	79	31	also	also	ADV
ajst-19340	79	32	has	have	VERB
ajst-19340	79	33	higher	high	ADJ
ajst-19340	79	34	time	time	NOUN
ajst-19340	79	35	complexity	complexity	NOUN
ajst-19340	79	36	.	.	PUNCT
ajst-19340	80	1	in	in	ADP
ajst-19340	80	2	the	the	DET
ajst-19340	80	3	current	current	ADJ
ajst-19340	80	4	task	task	NOUN
ajst-19340	80	5	of	of	ADP
ajst-19340	80	6	part	part	NOUN
ajst-19340	80	7	-	-	PUNCT
ajst-19340	80	8	ofspeech	ofspeech	ADJ
ajst-19340	80	9	tagging	tagging	NOUN
ajst-19340	80	10	for	for	ADP
ajst-19340	80	11	traditional	traditional	ADJ
ajst-19340	80	12	chinese	chinese	ADJ
ajst-19340	80	13	medicine	medicine	NOUN
ajst-19340	80	14	clinical	clinical	ADJ
ajst-19340	80	15	pulse	pulse	NOUN
ajst-19340	80	16	feeling	feeling	NOUN
ajst-19340	80	17	and	and	CCONJ
ajst-19340	80	18	palpation	palpation	NOUN
ajst-19340	80	19	information	information	NOUN
ajst-19340	80	20	,	,	PUNCT
ajst-19340	80	21	since	since	SCONJ
ajst-19340	80	22	the	the	DET
ajst-19340	80	23	length	length	NOUN
ajst-19340	80	24	of	of	ADP
ajst-19340	80	25	the	the	DET
ajst-19340	80	26	pulse	pulse	NOUN
ajst-19340	80	27	diagnosis	diagnosis	NOUN
ajst-19340	80	28	text	text	NOUN
ajst-19340	80	29	is	be	AUX
ajst-19340	80	30	relatively	relatively	ADV
ajst-19340	80	31	short	short	ADJ
ajst-19340	80	32	,	,	PUNCT
ajst-19340	80	33	the	the	DET
ajst-19340	80	34	time	time	NOUN
ajst-19340	80	35	complexity	complexity	NOUN
ajst-19340	80	36	of	of	ADP
ajst-19340	80	37	using	use	VERB
ajst-19340	80	38	the	the	DET
ajst-19340	80	39	viterbi	viterbi	ADJ
ajst-19340	80	40	algorithm	algorithm	NOUN
ajst-19340	80	41	is	be	AUX
ajst-19340	80	42	within	within	ADP
ajst-19340	80	43	an	an	DET
ajst-19340	80	44	acceptable	acceptable	ADJ
ajst-19340	80	45	range	range	NOUN
ajst-19340	80	46	.	.	PUNCT
ajst-19340	81	1	therefore	therefore	ADV
ajst-19340	81	2	,	,	PUNCT
ajst-19340	81	3	this	this	DET
ajst-19340	81	4	paper	paper	NOUN
ajst-19340	81	5	utilizes	utilize	VERB
ajst-19340	81	6	the	the	DET
ajst-19340	81	7	viterbi	viterbi	ADJ
ajst-19340	81	8	algorithm	algorithm	NOUN
ajst-19340	81	9	for	for	ADP
ajst-19340	81	10	decoding	decode	VERB
ajst-19340	81	11	.	.	PUNCT
ajst-19340	82	1	the	the	DET
ajst-19340	82	2	process	process	NOUN
ajst-19340	82	3	of	of	ADP
ajst-19340	82	4	part	part	NOUN
ajst-19340	82	5	-	-	PUNCT
ajst-19340	82	6	of	of	ADP
ajst-19340	82	7	-	-	PUNCT
ajst-19340	82	8	speech	speech	NOUN
ajst-19340	82	9	tagging	tag	VERB
ajst-19340	82	10	a	a	DET
ajst-19340	82	11	text	text	NOUN
ajst-19340	82	12	using	use	VERB
ajst-19340	82	13	the	the	DET
ajst-19340	82	14	hidden	hide	VERB
ajst-19340	82	15	markov	markov	NOUN
ajst-19340	82	16	model	model	NOUN
ajst-19340	82	17	(	(	PUNCT
ajst-19340	82	18	hmm	hmm	INTJ
ajst-19340	82	19	)	)	PUNCT
ajst-19340	82	20	and	and	CCONJ
ajst-19340	82	21	the	the	DET
ajst-19340	82	22	viterbi	viterbi	ADJ
ajst-19340	82	23	algorithm	algorithm	NOUN
ajst-19340	82	24	is	be	AUX
ajst-19340	82	25	manifested	manifest	VERB
ajst-19340	82	26	as	as	ADP
ajst-19340	82	27	a	a	DET
ajst-19340	82	28	single	single	ADJ
ajst-19340	82	29	traversal	traversal	NOUN
ajst-19340	82	30	from	from	ADP
ajst-19340	82	31	the	the	DET
ajst-19340	82	32	first	first	ADJ
ajst-19340	82	33	word	word	NOUN
ajst-19340	82	34	to	to	ADP
ajst-19340	82	35	the	the	DET
ajst-19340	82	36	last	last	ADJ
ajst-19340	82	37	word	word	NOUN
ajst-19340	82	38	in	in	ADP
ajst-19340	82	39	the	the	DET
ajst-19340	82	40	sequence	sequence	NOUN
ajst-19340	82	41	.	.	PUNCT
ajst-19340	83	1	a	a	DET
ajst-19340	83	2	step	step	NOUN
ajst-19340	83	3	in	in	ADP
ajst-19340	83	4	this	this	DET
ajst-19340	83	5	traversal	traversal	NOUN
ajst-19340	83	6	involves	involve	VERB
ajst-19340	83	7	part	part	ADJ
ajst-19340	83	8	-	-	ADJ
ajst-19340	83	9	ofspeech	ofspeech	ADJ
ajst-19340	83	10	tagging	tagging	NOUN
ajst-19340	83	11	for	for	ADP
ajst-19340	83	12	a	a	DET
ajst-19340	83	13	single	single	ADJ
ajst-19340	83	14	word	word	NOUN
ajst-19340	83	15	in	in	ADP
ajst-19340	83	16	the	the	DET
ajst-19340	83	17	text	text	NOUN
ajst-19340	83	18	to	to	PART
ajst-19340	83	19	be	be	AUX
ajst-19340	83	20	annotated	annotate	VERB
ajst-19340	83	21	.	.	PUNCT
ajst-19340	84	1	after	after	ADP
ajst-19340	84	2	completing	complete	VERB
ajst-19340	84	3	the	the	DET
ajst-19340	84	4	current	current	ADJ
ajst-19340	84	5	step	step	NOUN
ajst-19340	84	6	,	,	PUNCT
ajst-19340	84	7	the	the	DET
ajst-19340	84	8	part	part	NOUN
ajst-19340	84	9	-	-	PUNCT
ajst-19340	84	10	of	of	ADP
ajst-19340	84	11	-	-	PUNCT
ajst-19340	84	12	speech	speech	NOUN
ajst-19340	84	13	tag	tag	NOUN
ajst-19340	84	14	of	of	ADP
ajst-19340	84	15	the	the	DET
ajst-19340	84	16	current	current	ADJ
ajst-19340	84	17	word	word	NOUN
ajst-19340	84	18	is	be	AUX
ajst-19340	84	19	added	add	VERB
ajst-19340	84	20	to	to	ADP
ajst-19340	84	21	the	the	DET
ajst-19340	84	22	prompt	prompt	ADJ
ajst-19340	84	23	sentence	sentence	NOUN
ajst-19340	84	24	of	of	ADP
ajst-19340	84	25	the	the	DET
ajst-19340	84	26	next	next	ADJ
ajst-19340	84	27	word	word	NOUN
ajst-19340	84	28	and	and	CCONJ
ajst-19340	84	29	fed	feed	VERB
ajst-19340	84	30	back	back	ADV
ajst-19340	84	31	into	into	ADP
ajst-19340	84	32	the	the	DET
ajst-19340	84	33	pretrained	pretraine	VERB
ajst-19340	84	34	language	language	NOUN
ajst-19340	84	35	model	model	NOUN
ajst-19340	84	36	layer	layer	NOUN
ajst-19340	84	37	for	for	ADP
ajst-19340	84	38	cloze	cloze	NOUN
ajst-19340	84	39	completion	completion	NOUN
ajst-19340	84	40	of	of	ADP
ajst-19340	84	41	the	the	DET
ajst-19340	84	42	masked	mask	VERB
ajst-19340	84	43	token	token	NOUN
ajst-19340	84	44	.	.	PUNCT
ajst-19340	85	1	the	the	DET
ajst-19340	85	2	output	output	NOUN
ajst-19340	85	3	of	of	ADP
ajst-19340	85	4	this	this	DET
ajst-19340	85	5	cloze	cloze	NOUN
ajst-19340	85	6	task	task	NOUN
ajst-19340	85	7	serves	serve	VERB
ajst-19340	85	8	as	as	ADP
ajst-19340	85	9	the	the	DET
ajst-19340	85	10	data	datum	NOUN
ajst-19340	85	11	for	for	ADP
ajst-19340	85	12	the	the	DET
ajst-19340	85	13	next	next	ADJ
ajst-19340	85	14	iteration	iteration	NOUN
ajst-19340	85	15	of	of	ADP
ajst-19340	85	16	the	the	DET
ajst-19340	85	17	viterbi	viterbi	ADJ
ajst-19340	85	18	algorithm	algorithm	NOUN
ajst-19340	85	19	.	.	PUNCT
ajst-19340	86	1	the	the	DET
ajst-19340	86	2	part	part	NOUN
ajst-19340	86	3	-	-	PUNCT
ajst-19340	86	4	of	of	ADP
ajst-19340	86	5	-	-	PUNCT
ajst-19340	86	6	speech	speech	NOUN
ajst-19340	86	7	tagging	tagging	NOUN
ajst-19340	86	8	task	task	NOUN
ajst-19340	86	9	for	for	ADP
ajst-19340	86	10	the	the	DET
ajst-19340	86	11	current	current	ADJ
ajst-19340	86	12	text	text	NOUN
ajst-19340	86	13	is	be	AUX
ajst-19340	86	14	considered	consider	VERB
ajst-19340	86	15	complete	complete	ADJ
ajst-19340	86	16	only	only	ADV
ajst-19340	86	17	after	after	SCONJ
ajst-19340	86	18	the	the	DET
ajst-19340	86	19	viterbi	viterbi	NOUN
ajst-19340	86	20	algorithm	algorithm	NOUN
ajst-19340	86	21	has	have	AUX
ajst-19340	86	22	traversed	traverse	VERB
ajst-19340	86	23	all	all	DET
ajst-19340	86	24	the	the	DET
ajst-19340	86	25	words	word	NOUN
ajst-19340	86	26	in	in	ADP
ajst-19340	86	27	the	the	DET
ajst-19340	86	28	text	text	NOUN
ajst-19340	86	29	.	.	PUNCT
ajst-19340	87	1	the	the	DET
ajst-19340	87	2	specific	specific	ADJ
ajst-19340	87	3	algorithmic	algorithmic	ADJ
ajst-19340	87	4	process	process	NOUN
ajst-19340	87	5	and	and	CCONJ
ajst-19340	87	6	its	its	PRON
ajst-19340	87	7	pseudocode	pseudocode	NOUN
ajst-19340	87	8	are	be	AUX
ajst-19340	87	9	presented	present	VERB
ajst-19340	87	10	as	as	ADP
ajst-19340	87	11	algorithm	algorithm	NOUN
ajst-19340	87	12	1	1	NUM
ajst-19340	87	13	.	.	PUNCT
ajst-19340	87	14	algorithm	algorithm	NOUN
ajst-19340	87	15	1	1	NUM
ajst-19340	87	16	hint	hint	NOUN
ajst-19340	87	17	tuning	tune	VERB
ajst-19340	87	18	algorithm	algorithm	NOUN
ajst-19340	87	19	based	base	VERB
ajst-19340	87	20	on	on	ADP
ajst-19340	87	21	hidden	hidden	ADJ
ajst-19340	87	22	markov	markov	NOUN
ajst-19340	87	23	输入：提示句子具体数量	输入：提示句子具体数量	NOUN
ajst-19340	87	24	n	n	CCONJ
ajst-19340	87	25	,	,	PUNCT
ajst-19340	87	26	一组提示句子	一组提示句子	PUNCT
ajst-19340	88	1	prompts	prompt	NOUN
ajst-19340	88	2	,	,	PUNCT
ajst-19340	88	3	bert	bert	PROPN
ajst-19340	88	4	计算函数	计算函数	PROPN
ajst-19340	88	5	get_score	get_score	NOUN
ajst-19340	88	6	,	,	PUNCT
ajst-19340	88	7	模型配置	模型配置	PROPN
ajst-19340	88	8	config	config	PROPN
ajst-19340	88	9	,	,	PUNCT
ajst-19340	88	10	状态转移矩阵	状态转移矩阵	NOUN
ajst-19340	88	11	transition	transition	NOUN
ajst-19340	88	12	。	。	PROPN
ajst-19340	88	13	输出：viterbi	输出：viterbi	NOUN
ajst-19340	88	14	过程矩阵	过程矩阵	NOUN
ajst-19340	88	15	trellis，预测结果	trellis，预测结果	PRON
ajst-19340	88	16	labels	label	NOUN
ajst-19340	88	17	,	,	PUNCT
ajst-19340	88	18	bert	bert	PROPN
ajst-19340	88	19	函数输出的	函数输出的	PROPN
ajst-19340	88	20	loss	loss	PROPN
ajst-19340	88	21	。	。	PROPN
ajst-19340	88	22	1	1	NUM
ajst-19340	88	23	.	.	PUNCT
ajst-19340	88	24	初始化	初始化	NOUN
ajst-19340	88	25	viterbi	viterbi	NOUN
ajst-19340	88	26	过程矩阵	过程矩阵	NOUN
ajst-19340	88	27	trellis	trellis	PROPN
ajst-19340	88	28	←	←	PROPN
ajst-19340	89	1	[	[	X
ajst-19340	89	2	n	n	CCONJ
ajst-19340	89	3	,	,	PUNCT
ajst-19340	89	4	config.class_nums	config.class_num	NOUN
ajst-19340	89	5	]	]	X
ajst-19340	89	6	2	2	NUM
ajst-19340	89	7	.	.	PUNCT
ajst-19340	89	8	初始化存储	初始化存储	PROPN
ajst-19340	89	9	viterbi	viterbi	NOUN
ajst-19340	89	10	路径的路径矩阵	路径的路径矩阵	VERB
ajst-19340	89	11	pre_index	pre_index	PROPN
ajst-19340	89	12	←	←	PROPN
ajst-19340	90	1	[	[	X
ajst-19340	90	2	n	n	CCONJ
ajst-19340	90	3	,	,	PUNCT
ajst-19340	90	4	config.class_nums	config.class_num	NOUN
ajst-19340	90	5	]	]	X
ajst-19340	90	6	3	3	NUM
ajst-19340	90	7	.	.	PUNCT
ajst-19340	90	8	初始化保存总损失的变量	初始化保存总损失的变量	VERB
ajst-19340	90	9	total_loss	total_loss	ADV
ajst-19340	90	10	4	4	NUM
ajst-19340	90	11	.	.	PUNCT
ajst-19340	91	1	for	for	ADP
ajst-19340	91	2	each	each	DET
ajst-19340	91	3	index	index	NOUN
ajst-19340	91	4	∈	∈	NOUN
ajst-19340	92	1	[	[	X
ajst-19340	92	2	1	1	NUM
ajst-19340	92	3	…	…	SYM
ajst-19340	92	4	n	n	CCONJ
ajst-19340	92	5	]	]	PUNCT
ajst-19340	92	6	do	do	VERB
ajst-19340	92	7	5	5	NUM
ajst-19340	92	8	.	.	PUNCT
ajst-19340	93	1	score	score	NOUN
ajst-19340	93	2	,	,	PUNCT
ajst-19340	93	3	loss	loss	NOUN
ajst-19340	93	4	←	←	PROPN
ajst-19340	93	5	get_score(prompts[index	get_score(prompts[index	PROPN
ajst-19340	93	6	]	]	X
ajst-19340	93	7	)	)	PUNCT
ajst-19340	93	8	6	6	NUM
ajst-19340	93	9	.	.	X
ajst-19340	94	1	total_loss	total_loss	ADP
ajst-19340	94	2	←	←	PROPN
ajst-19340	94	3	total_loss	total_loss	X
ajst-19340	94	4	+	+	CCONJ
ajst-19340	94	5	loss	loss	NOUN
ajst-19340	94	6	7	7	NUM
ajst-19340	94	7	.	.	PUNCT
ajst-19340	95	1	if	if	SCONJ
ajst-19340	95	2	index	index	NOUN
ajst-19340	95	3	=	=	SYM
ajst-19340	95	4	0	0	NUM
ajst-19340	95	5	then	then	ADV
ajst-19340	95	6	8	8	NUM
ajst-19340	95	7	.	.	PUNCT
ajst-19340	96	1	trellis[0	trellis[0	ADV
ajst-19340	96	2	]	]	PUNCT
ajst-19340	96	3	←	←	PROPN
ajst-19340	96	4	score	score	NOUN
ajst-19340	96	5	9	9	NUM
ajst-19340	96	6	.	.	PUNCT
ajst-19340	96	7	else	else	ADV
ajst-19340	96	8	10	10	NUM
ajst-19340	96	9	.	.	PUNCT
ajst-19340	97	1	trellis_cur	trellis_cur	PROPN
ajst-19340	97	2	←	←	PROPN
ajst-19340	98	1	[	[	X
ajst-19340	98	2	0	0	NUM
ajst-19340	98	3	…	…	SYM
ajst-19340	98	4	config.class_nums	config.class_num	NOUN
ajst-19340	98	5	]	]	X
ajst-19340	98	6	11	11	NUM
ajst-19340	98	7	.	.	PUNCT
ajst-19340	99	1	for	for	ADP
ajst-19340	99	2	each	each	DET
ajst-19340	99	3	score_idx	score_idx	PROPN
ajst-19340	99	4	∈	∈	PROPN
ajst-19340	99	5	[	[	X
ajst-19340	99	6	1	1	NUM
ajst-19340	99	7	…	…	SYM
ajst-19340	99	8	config.class_nums	config.class_num	NOUN
ajst-19340	99	9	]	]	PUNCT
ajst-19340	99	10	do	do	VERB
ajst-19340	99	11	12	12	NUM
ajst-19340	99	12	.	.	PUNCT
ajst-19340	100	1	temp	temp	PROPN
ajst-19340	100	2	←	←	PROPN
ajst-19340	101	1	[	[	X
ajst-19340	101	2	]	]	X
ajst-19340	101	3	13	13	NUM
ajst-19340	101	4	.	.	PUNCT
ajst-19340	102	1	for	for	ADP
ajst-19340	102	2	each	each	DET
ajst-19340	102	3	trellis_idx	trellis_idx	NUM
ajst-19340	102	4	∈	∈	PROPN
ajst-19340	102	5	[	[	PUNCT
ajst-19340	102	6	0	0	NUM
ajst-19340	102	7	…	…	SYM
ajst-19340	102	8	config.lass_nums	config.lass_num	NOUN
ajst-19340	102	9	]	]	PUNCT
ajst-19340	102	10	do	do	VERB
ajst-19340	102	11	14	14	NUM
ajst-19340	102	12	.	.	PUNCT
ajst-19340	102	13	item←trellis[index-1][trellis_idx	item←trellis[index-1][trellis_idx	X
ajst-19340	102	14	]	]	PUNCT
ajst-19340	103	1	+	+	X
ajst-19340	103	2	transition[trellis_idx][score_idx]+core[score_idx	transition[trellis_idx][score_idx]+core[score_idx	X
ajst-19340	103	3	]	]	X
ajst-19340	103	4	15	15	NUM
ajst-19340	103	5	.	.	PUNCT
ajst-19340	103	6	temp	temp	PROPN
ajst-19340	103	7	←	←	PROPN
ajst-19340	103	8	append(item	append(item	PROPN
ajst-19340	103	9	)	)	PUNCT
ajst-19340	103	10	16	16	NUM
ajst-19340	103	11	.	.	PUNCT
ajst-19340	104	1	end	end	VERB
ajst-19340	104	2	for	for	ADP
ajst-19340	104	3	17	17	NUM
ajst-19340	104	4	.	.	PUNCT
ajst-19340	105	1	max_value	max_value	PROPN
ajst-19340	105	2	←	←	PROPN
ajst-19340	105	3	max(temp	max(temp	PROPN
ajst-19340	105	4	)	)	PUNCT
ajst-19340	105	5	18	18	NUM
ajst-19340	105	6	.	.	PUNCT
ajst-19340	105	7	max_index	max_index	NOUN
ajst-19340	105	8	←	←	PROPN
ajst-19340	105	9	argmax(temp	argmax(temp	PROPN
ajst-19340	105	10	)	)	PUNCT
ajst-19340	105	11	440	440	NUM
ajst-19340	106	1	19	19	NUM
ajst-19340	106	2	.	.	PUNCT
ajst-19340	106	3	pre_index[index][score_idx]←	pre_index[index][score_idx]←	PROPN
ajst-19340	106	4	pre_index[index1][max_index	pre_index[index1][max_index	PROPN
ajst-19340	106	5	]	]	PUNCT
ajst-19340	107	1	+	+	CCONJ
ajst-19340	107	2	[	[	X
ajst-19340	107	3	score_idx	score_idx	X
ajst-19340	107	4	]	]	X
ajst-19340	107	5	20	20	NUM
ajst-19340	107	6	.	.	PUNCT
ajst-19340	108	1	trellis_cur	trellis_cur	PROPN
ajst-19340	108	2	←	←	PROPN
ajst-19340	108	3	append(max_value	append(max_value	PROPN
ajst-19340	108	4	)	)	PUNCT
ajst-19340	108	5	21	21	NUM
ajst-19340	108	6	.	.	PUNCT
ajst-19340	108	7	end	end	VERB
ajst-19340	108	8	for	for	ADP
ajst-19340	108	9	22	22	NUM
ajst-19340	108	10	.	.	PUNCT
ajst-19340	109	1	trellis[index	trellis[index	NOUN
ajst-19340	109	2	]	]	X
ajst-19340	109	3	←	←	PROPN
ajst-19340	109	4	trellis_cur	trellis_cur	PROPN
ajst-19340	109	5	23	23	NUM
ajst-19340	109	6	.	.	PUNCT
ajst-19340	110	1	end	end	VERB
ajst-19340	110	2	if	if	SCONJ
ajst-19340	110	3	24	24	NUM
ajst-19340	110	4	.	.	PUNCT
ajst-19340	111	1	cur_pred_label_id	cur_pred_label_id	PROPN
ajst-19340	111	2	←	←	PROPN
ajst-19340	111	3	max(trellis[index	max(trellis[index	NOUN
ajst-19340	111	4	]	]	PUNCT
ajst-19340	111	5	)	)	PUNCT
ajst-19340	112	1	+	+	CCONJ
ajst-19340	112	2	1	1	NUM
ajst-19340	112	3	25	25	NUM
ajst-19340	112	4	.	.	PUNCT
ajst-19340	113	1	if	if	SCONJ
ajst-19340	113	2	index	index	NOUN
ajst-19340	113	3	!	!	PUNCT
ajst-19340	113	4	=	=	PUNCT
ajst-19340	114	1	n	n	PRON
ajst-19340	114	2	1	1	NUM
ajst-19340	114	3	then	then	ADV
ajst-19340	114	4	26	26	NUM
ajst-19340	114	5	.	.	PUNCT
ajst-19340	115	1	next_prompt←prompts[“input_ids”][index+1	next_prompt←prompts[“input_ids”][index+1	NOUN
ajst-19340	115	2	]	]	PUNCT
ajst-19340	115	3	27	27	NUM
ajst-19340	115	4	.	.	PUNCT
ajst-19340	116	1	for	for	ADP
ajst-19340	116	2	each	each	DET
ajst-19340	116	3	i	i	PRON
ajst-19340	116	4	,	,	PUNCT
ajst-19340	116	5	x	x	PROPN
ajst-19340	116	6	∈	∈	PROPN
ajst-19340	116	7	next_prompt	next_prompt	PROPN
ajst-19340	116	8	do	do	VERB
ajst-19340	116	9	28	28	NUM
ajst-19340	116	10	.	.	PUNCT
ajst-19340	117	1	if	if	SCONJ
ajst-19340	117	2	x	x	PRON
ajst-19340	117	3	=	=	PUNCT
ajst-19340	117	4	config.plb	config.plb	X
ajst-19340	117	5	then	then	ADV
ajst-19340	117	6	29	29	NUM
ajst-19340	117	7	.	.	PUNCT
ajst-19340	118	1	next_prompt[i	next_prompt[i	VERB
ajst-19340	118	2	]	]	X
ajst-19340	118	3	=	=	SYM
ajst-19340	118	4	cur_pred_label_id	cur_pred_label_id	PROPN
ajst-19340	118	5	30	30	NUM
ajst-19340	118	6	.	.	PUNCT
ajst-19340	119	1	end	end	VERB
ajst-19340	119	2	if	if	SCONJ
ajst-19340	119	3	31	31	NUM
ajst-19340	119	4	.	.	PUNCT
ajst-19340	120	1	end	end	VERB
ajst-19340	120	2	for	for	ADP
ajst-19340	120	3	32	32	NUM
ajst-19340	120	4	.	.	PUNCT
ajst-19340	121	1	end	end	VERB
ajst-19340	121	2	if	if	SCONJ
ajst-19340	121	3	33	33	NUM
ajst-19340	121	4	.	.	PUNCT
ajst-19340	122	1	end	end	VERB
ajst-19340	122	2	for	for	ADP
ajst-19340	122	3	34	34	NUM
ajst-19340	122	4	.	.	PUNCT
ajst-19340	123	1	labels	label	NOUN
ajst-19340	123	2	←	←	PROPN
ajst-19340	123	3	pre_index[n-1][argmax(trellis[n-1	pre_index[n-1][argmax(trellis[n-1	PROPN
ajst-19340	123	4	]	]	PUNCT
ajst-19340	123	5	)	)	PUNCT
ajst-19340	123	6	]	]	PUNCT
ajst-19340	124	1	35	35	NUM
ajst-19340	124	2	.	.	PUNCT
ajst-19340	124	3	return	return	NOUN
ajst-19340	124	4	trellis	trelli	NOUN
ajst-19340	124	5	,	,	PUNCT
ajst-19340	124	6	labels	label	NOUN
ajst-19340	124	7	,	,	PUNCT
ajst-19340	124	8	total_loss	total_loss	X
ajst-19340	124	9	3	3	NUM
ajst-19340	124	10	.	.	PUNCT
ajst-19340	124	11	experiment	experiment	NOUN
ajst-19340	124	12	in	in	ADP
ajst-19340	124	13	the	the	DET
ajst-19340	124	14	test	test	NOUN
ajst-19340	124	15	dataset	dataset	NOUN
ajst-19340	124	16	,	,	PUNCT
ajst-19340	124	17	the	the	DET
ajst-19340	124	18	method	method	NOUN
ajst-19340	124	19	proposed	propose	VERB
ajst-19340	124	20	in	in	ADP
ajst-19340	124	21	this	this	DET
ajst-19340	124	22	paper	paper	NOUN
ajst-19340	124	23	was	be	AUX
ajst-19340	124	24	compared	compare	VERB
ajst-19340	124	25	with	with	ADP
ajst-19340	124	26	crf	crf	PROPN
ajst-19340	124	27	and	and	CCONJ
ajst-19340	124	28	bilstm+crf	bilstm+crf	NOUN
ajst-19340	124	29	models	model	NOUN
ajst-19340	124	30	under	under	ADP
ajst-19340	124	31	the	the	DET
ajst-19340	124	32	bert[11	bert[11	NOUN
ajst-19340	124	33	]	]	X
ajst-19340	124	34	,	,	PUNCT
ajst-19340	124	35	mc	mc	PROPN
ajst-19340	124	36	-	-	PUNCT
ajst-19340	124	37	bert[12	bert[12	PROPN
ajst-19340	124	38	]	]	PUNCT
ajst-19340	124	39	,	,	PUNCT
ajst-19340	124	40	and	and	CCONJ
ajst-19340	124	41	bart[13	bart[13	NOUN
ajst-19340	124	42	]	]	PUNCT
ajst-19340	124	43	pretrained	pretraine	VERB
ajst-19340	124	44	language	language	NOUN
ajst-19340	124	45	models	model	NOUN
ajst-19340	124	46	.	.	PUNCT
ajst-19340	125	1	notably	notably	ADV
ajst-19340	125	2	,	,	PUNCT
ajst-19340	125	3	mc	mc	PROPN
ajst-19340	125	4	-	-	PUNCT
ajst-19340	125	5	bert	bert	PROPN
ajst-19340	125	6	is	be	AUX
ajst-19340	125	7	a	a	DET
ajst-19340	125	8	model	model	NOUN
ajst-19340	125	9	obtained	obtain	VERB
ajst-19340	125	10	through	through	ADP
ajst-19340	125	11	fine	fine	ADV
ajst-19340	125	12	-	-	PUNCT
ajst-19340	125	13	tuning	tuning	NOUN
ajst-19340	125	14	on	on	ADP
ajst-19340	125	15	an	an	DET
ajst-19340	125	16	unannotated	unannotated	ADJ
ajst-19340	125	17	domain	domain	NOUN
ajst-19340	125	18	-	-	PUNCT
ajst-19340	125	19	specific	specific	ADJ
ajst-19340	125	20	traditional	traditional	ADJ
ajst-19340	125	21	chinese	chinese	ADJ
ajst-19340	125	22	medicine	medicine	NOUN
ajst-19340	125	23	clinical	clinical	ADJ
ajst-19340	125	24	records	record	NOUN
ajst-19340	125	25	dataset	dataset	VERB
ajst-19340	125	26	in	in	ADP
ajst-19340	125	27	prior	prior	ADJ
ajst-19340	125	28	work	work	NOUN
ajst-19340	125	29	.	.	PUNCT
ajst-19340	126	1	subsequent	subsequent	ADJ
ajst-19340	126	2	sections	section	NOUN
ajst-19340	126	3	of	of	ADP
ajst-19340	126	4	this	this	DET
ajst-19340	126	5	chapter	chapter	NOUN
ajst-19340	126	6	will	will	AUX
ajst-19340	126	7	detail	detail	VERB
ajst-19340	126	8	the	the	DET
ajst-19340	126	9	datasets	dataset	NOUN
ajst-19340	126	10	used	use	VERB
ajst-19340	126	11	in	in	ADP
ajst-19340	126	12	the	the	DET
ajst-19340	126	13	experiments	experiment	NOUN
ajst-19340	126	14	,	,	PUNCT
ajst-19340	126	15	experimental	experimental	ADJ
ajst-19340	126	16	settings	setting	NOUN
ajst-19340	126	17	,	,	PUNCT
ajst-19340	126	18	evaluation	evaluation	NOUN
ajst-19340	126	19	metrics	metric	NOUN
ajst-19340	126	20	,	,	PUNCT
ajst-19340	126	21	and	and	CCONJ
ajst-19340	126	22	the	the	DET
ajst-19340	126	23	results	result	NOUN
ajst-19340	126	24	of	of	ADP
ajst-19340	126	25	the	the	DET
ajst-19340	126	26	experiments	experiment	NOUN
ajst-19340	126	27	.	.	PUNCT
ajst-19340	127	1	3.1	3.1	NUM
ajst-19340	127	2	.	.	PUNCT
ajst-19340	127	3	dataset	dataset	VERB
ajst-19340	127	4	all	all	DET
ajst-19340	127	5	the	the	DET
ajst-19340	127	6	experimental	experimental	ADJ
ajst-19340	127	7	data	datum	NOUN
ajst-19340	127	8	in	in	ADP
ajst-19340	127	9	this	this	DET
ajst-19340	127	10	paper	paper	NOUN
ajst-19340	127	11	are	be	AUX
ajst-19340	127	12	derived	derive	VERB
ajst-19340	127	13	from	from	ADP
ajst-19340	127	14	the	the	DET
ajst-19340	127	15	corpus	corpus	NOUN
ajst-19340	127	16	of	of	ADP
ajst-19340	127	17	traditional	traditional	ADJ
ajst-19340	127	18	chinese	chinese	ADJ
ajst-19340	127	19	medicine	medicine	NOUN
ajst-19340	127	20	clinical	clinical	ADJ
ajst-19340	127	21	pulse	pulse	NOUN
ajst-19340	127	22	feeling	feeling	NOUN
ajst-19340	127	23	and	and	CCONJ
ajst-19340	127	24	palpation	palpation	NOUN
ajst-19340	127	25	information	information	NOUN
ajst-19340	127	26	extraction	extraction	NOUN
ajst-19340	127	27	,	,	PUNCT
ajst-19340	127	28	constructed	construct	VERB
ajst-19340	127	29	in	in	ADP
ajst-19340	127	30	previous	previous	ADJ
ajst-19340	127	31	work[4	work[4	NOUN
ajst-19340	127	32	]	]	PUNCT
ajst-19340	127	33	.	.	PUNCT
ajst-19340	128	1	in	in	ADP
ajst-19340	128	2	that	that	DET
ajst-19340	128	3	prior	prior	ADJ
ajst-19340	128	4	study	study	NOUN
ajst-19340	128	5	,	,	PUNCT
ajst-19340	128	6	detailed	detailed	ADJ
ajst-19340	128	7	part	part	NOUN
ajst-19340	128	8	-	-	PUNCT
ajst-19340	128	9	of	of	ADP
ajst-19340	128	10	-	-	PUNCT
ajst-19340	128	11	speech	speech	NOUN
ajst-19340	128	12	tagging	tagging	NOUN
ajst-19340	128	13	was	be	AUX
ajst-19340	128	14	already	already	ADV
ajst-19340	128	15	performed	perform	VERB
ajst-19340	128	16	on	on	ADP
ajst-19340	128	17	traditional	traditional	ADJ
ajst-19340	128	18	chinese	chinese	ADJ
ajst-19340	128	19	medicine	medicine	NOUN
ajst-19340	128	20	clinical	clinical	ADJ
ajst-19340	128	21	pulse	pulse	NOUN
ajst-19340	128	22	feeling	feeling	NOUN
ajst-19340	128	23	and	and	CCONJ
ajst-19340	128	24	palpation	palpation	NOUN
ajst-19340	128	25	information	information	NOUN
ajst-19340	128	26	,	,	PUNCT
ajst-19340	128	27	with	with	SCONJ
ajst-19340	128	28	each	each	DET
ajst-19340	128	29	word	word	NOUN
ajst-19340	128	30	being	be	AUX
ajst-19340	128	31	assigned	assign	VERB
ajst-19340	128	32	a	a	DET
ajst-19340	128	33	corresponding	correspond	VERB
ajst-19340	128	34	part	part	ADJ
ajst-19340	128	35	-	-	PUNCT
ajst-19340	128	36	ofspeech	ofspeech	ADJ
ajst-19340	128	37	tag	tag	NOUN
ajst-19340	128	38	.	.	PUNCT
ajst-19340	129	1	given	give	VERB
ajst-19340	129	2	the	the	DET
ajst-19340	129	3	high	high	ADJ
ajst-19340	129	4	quality	quality	NOUN
ajst-19340	129	5	and	and	CCONJ
ajst-19340	129	6	specificity	specificity	NOUN
ajst-19340	129	7	of	of	ADP
ajst-19340	129	8	these	these	DET
ajst-19340	129	9	data	datum	NOUN
ajst-19340	129	10	,	,	PUNCT
ajst-19340	129	11	this	this	DET
ajst-19340	129	12	paper	paper	NOUN
ajst-19340	129	13	chose	choose	VERB
ajst-19340	129	14	to	to	PART
ajst-19340	129	15	use	use	VERB
ajst-19340	129	16	this	this	DET
ajst-19340	129	17	dataset	dataset	NOUN
ajst-19340	129	18	directly	directly	ADV
ajst-19340	129	19	for	for	ADP
ajst-19340	129	20	the	the	DET
ajst-19340	129	21	partof	partof	NOUN
ajst-19340	129	22	-	-	PUNCT
ajst-19340	129	23	speech	speech	NOUN
ajst-19340	129	24	tagging	tagging	NOUN
ajst-19340	129	25	task	task	NOUN
ajst-19340	129	26	experiments	experiment	NOUN
ajst-19340	129	27	.	.	PUNCT
ajst-19340	130	1	in	in	ADP
ajst-19340	130	2	this	this	DET
ajst-19340	130	3	dataset	dataset	NOUN
ajst-19340	130	4	,	,	PUNCT
ajst-19340	130	5	after	after	SCONJ
ajst-19340	130	6	deduplication	deduplication	NOUN
ajst-19340	130	7	required	require	VERB
ajst-19340	130	8	for	for	ADP
ajst-19340	130	9	the	the	DET
ajst-19340	130	10	part	part	NOUN
ajst-19340	130	11	-	-	PUNCT
ajst-19340	130	12	of	of	ADP
ajst-19340	130	13	-	-	PUNCT
ajst-19340	130	14	speech	speech	NOUN
ajst-19340	130	15	tagging	tagging	NOUN
ajst-19340	130	16	task	task	NOUN
ajst-19340	130	17	,	,	PUNCT
ajst-19340	130	18	944	944	NUM
ajst-19340	130	19	tagged	tag	VERB
ajst-19340	130	20	data	datum	NOUN
ajst-19340	130	21	entries	entry	NOUN
ajst-19340	130	22	were	be	AUX
ajst-19340	130	23	obtained	obtain	VERB
ajst-19340	130	24	.	.	PUNCT
ajst-19340	131	1	the	the	DET
ajst-19340	131	2	dataset	dataset	NOUN
ajst-19340	131	3	was	be	AUX
ajst-19340	131	4	divided	divide	VERB
ajst-19340	131	5	into	into	ADP
ajst-19340	131	6	training	training	NOUN
ajst-19340	131	7	,	,	PUNCT
ajst-19340	131	8	validation	validation	NOUN
ajst-19340	131	9	,	,	PUNCT
ajst-19340	131	10	and	and	CCONJ
ajst-19340	131	11	test	test	NOUN
ajst-19340	131	12	sets	set	NOUN
ajst-19340	131	13	in	in	ADP
ajst-19340	131	14	a	a	DET
ajst-19340	131	15	6:2:2	6:2:2	NUM
ajst-19340	131	16	ratio	ratio	NOUN
ajst-19340	131	17	.	.	PUNCT
ajst-19340	132	1	in	in	ADP
ajst-19340	132	2	the	the	DET
ajst-19340	132	3	training	training	NOUN
ajst-19340	132	4	set	set	NOUN
ajst-19340	132	5	sampling	sampling	NOUN
ajst-19340	132	6	portion	portion	NOUN
ajst-19340	132	7	,	,	PUNCT
ajst-19340	132	8	training	training	NOUN
ajst-19340	132	9	samples	sample	NOUN
ajst-19340	132	10	with	with	ADP
ajst-19340	132	11	5	5	NUM
ajst-19340	132	12	,	,	PUNCT
ajst-19340	132	13	10	10	NUM
ajst-19340	132	14	,	,	PUNCT
ajst-19340	132	15	15	15	NUM
ajst-19340	132	16	,	,	PUNCT
ajst-19340	132	17	20	20	NUM
ajst-19340	132	18	,	,	PUNCT
ajst-19340	132	19	and	and	CCONJ
ajst-19340	132	20	25	25	NUM
ajst-19340	132	21	data	datum	NOUN
ajst-19340	132	22	entries	entry	NOUN
ajst-19340	132	23	were	be	AUX
ajst-19340	132	24	randomly	randomly	ADV
ajst-19340	132	25	selected	select	VERB
ajst-19340	132	26	to	to	PART
ajst-19340	132	27	train	train	VERB
ajst-19340	132	28	the	the	DET
ajst-19340	132	29	model	model	NOUN
ajst-19340	132	30	.	.	PUNCT
ajst-19340	133	1	additionally	additionally	ADV
ajst-19340	133	2	,	,	PUNCT
ajst-19340	133	3	to	to	PART
ajst-19340	133	4	ensure	ensure	VERB
ajst-19340	133	5	objectivity	objectivity	NOUN
ajst-19340	133	6	in	in	ADP
ajst-19340	133	7	model	model	NOUN
ajst-19340	133	8	evaluation	evaluation	NOUN
ajst-19340	133	9	,	,	PUNCT
ajst-19340	133	10	each	each	DET
ajst-19340	133	11	set	set	NOUN
ajst-19340	133	12	of	of	ADP
ajst-19340	133	13	training	training	NOUN
ajst-19340	133	14	samples	sample	NOUN
ajst-19340	133	15	was	be	AUX
ajst-19340	133	16	sampled	sample	VERB
ajst-19340	133	17	five	five	NUM
ajst-19340	133	18	times	time	NOUN
ajst-19340	133	19	and	and	CCONJ
ajst-19340	133	20	the	the	DET
ajst-19340	133	21	average	average	NOUN
ajst-19340	133	22	of	of	ADP
ajst-19340	133	23	the	the	DET
ajst-19340	133	24	training	training	NOUN
ajst-19340	133	25	results	result	NOUN
ajst-19340	133	26	was	be	AUX
ajst-19340	133	27	taken	take	VERB
ajst-19340	133	28	.	.	PUNCT
ajst-19340	134	1	3.2	3.2	NUM
ajst-19340	134	2	.	.	PUNCT
ajst-19340	135	1	metrics	metric	NOUN
ajst-19340	135	2	this	this	DET
ajst-19340	135	3	paper	paper	NOUN
ajst-19340	135	4	employs	employ	VERB
ajst-19340	135	5	typical	typical	ADJ
ajst-19340	135	6	metrics	metric	NOUN
ajst-19340	135	7	used	use	VERB
ajst-19340	135	8	in	in	ADP
ajst-19340	135	9	classification	classification	NOUN
ajst-19340	135	10	tasks	task	NOUN
ajst-19340	135	11	—	—	PUNCT
ajst-19340	135	12	precision	precision	NOUN
ajst-19340	135	13	,	,	PUNCT
ajst-19340	135	14	recall	recall	NOUN
ajst-19340	135	15	,	,	PUNCT
ajst-19340	135	16	and	and	CCONJ
ajst-19340	135	17	f1	f1	NOUN
ajst-19340	135	18	-	-	PUNCT
ajst-19340	135	19	score	score	NOUN
ajst-19340	135	20	—	—	PUNCT
ajst-19340	135	21	to	to	PART
ajst-19340	135	22	measure	measure	VERB
ajst-19340	135	23	the	the	DET
ajst-19340	135	24	quality	quality	NOUN
ajst-19340	135	25	of	of	ADP
ajst-19340	135	26	the	the	DET
ajst-19340	135	27	method	method	NOUN
ajst-19340	135	28	proposed	propose	VERB
ajst-19340	135	29	.	.	PUNCT
ajst-19340	136	1	the	the	DET
ajst-19340	136	2	specific	specific	ADJ
ajst-19340	136	3	formulas	formula	NOUN
ajst-19340	136	4	for	for	ADP
ajst-19340	136	5	these	these	DET
ajst-19340	136	6	metrics	metric	NOUN
ajst-19340	136	7	are	be	AUX
ajst-19340	136	8	as	as	SCONJ
ajst-19340	136	9	follows	follow	VERB
ajst-19340	136	10	:	:	PUNCT
ajst-19340	137	1	precision	precision	NOUN
ajst-19340	137	2	tp	tp	NOUN
ajst-19340	137	3	tp	tp	ADP
ajst-19340	137	4	fp	fp	PROPN
ajst-19340	137	5	(	(	PUNCT
ajst-19340	137	6	1	1	NUM
ajst-19340	137	7	)	)	PUNCT
ajst-19340	137	8	𝑅𝑒𝑐𝑎𝑙𝑙	𝑅𝑒𝑐𝑎𝑙𝑙	PROPN
ajst-19340	137	9	tp	tp	ADP
ajst-19340	137	10	tp	tp	ADP
ajst-19340	137	11	f	f	PROPN
ajst-19340	137	12	(	(	PUNCT
ajst-19340	137	13	2	2	NUM
ajst-19340	137	14	)	)	PUNCT
ajst-19340	137	15	f1	f1	NOUN
ajst-19340	137	16	score	score	NOUN
ajst-19340	137	17	2	2	NUM
ajst-19340	137	18	precision	precision	NOUN
ajst-19340	137	19	recall	recall	NOUN
ajst-19340	137	20	precision+recall	precision+recall	PROPN
ajst-19340	137	21	(	(	PUNCT
ajst-19340	137	22	3	3	NUM
ajst-19340	137	23	)	)	PUNCT
ajst-19340	137	24	where	where	SCONJ
ajst-19340	137	25	tp	tp	PART
ajst-19340	137	26	denotes	denote	VERB
ajst-19340	137	27	the	the	DET
ajst-19340	137	28	number	number	NOUN
ajst-19340	137	29	of	of	ADP
ajst-19340	137	30	samples	sample	NOUN
ajst-19340	137	31	predicted	predict	VERB
ajst-19340	137	32	to	to	PART
ajst-19340	137	33	be	be	AUX
ajst-19340	137	34	true	true	ADJ
ajst-19340	137	35	and	and	CCONJ
ajst-19340	137	36	actually	actually	ADV
ajst-19340	137	37	true	true	ADJ
ajst-19340	137	38	,	,	PUNCT
ajst-19340	137	39	fn	fn	NOUN
ajst-19340	137	40	denotes	denote	NOUN
ajst-19340	137	41	the	the	DET
ajst-19340	137	42	number	number	NOUN
ajst-19340	137	43	of	of	ADP
ajst-19340	137	44	samples	sample	NOUN
ajst-19340	137	45	predicted	predict	VERB
ajst-19340	137	46	to	to	PART
ajst-19340	137	47	be	be	AUX
ajst-19340	137	48	inverse	inverse	ADJ
ajst-19340	137	49	but	but	CCONJ
ajst-19340	137	50	actually	actually	ADV
ajst-19340	137	51	true	true	ADJ
ajst-19340	137	52	,	,	PUNCT
ajst-19340	137	53	and	and	CCONJ
ajst-19340	137	54	fp	fp	X
ajst-19340	137	55	denotes	denote	VERB
ajst-19340	137	56	the	the	DET
ajst-19340	137	57	number	number	NOUN
ajst-19340	137	58	of	of	ADP
ajst-19340	137	59	samples	sample	NOUN
ajst-19340	137	60	predicted	predict	VERB
ajst-19340	137	61	to	to	PART
ajst-19340	137	62	be	be	AUX
ajst-19340	137	63	true	true	ADJ
ajst-19340	137	64	and	and	CCONJ
ajst-19340	137	65	actually	actually	ADV
ajst-19340	137	66	inverse	inverse	ADJ
ajst-19340	137	67	.	.	PUNCT
ajst-19340	138	1	3.3	3.3	NUM
ajst-19340	138	2	.	.	PUNCT
ajst-19340	139	1	experimental	experimental	ADJ
ajst-19340	139	2	settings	setting	NOUN
ajst-19340	139	3	in	in	ADP
ajst-19340	139	4	the	the	DET
ajst-19340	139	5	comparative	comparative	ADJ
ajst-19340	139	6	experiments	experiment	NOUN
ajst-19340	139	7	and	and	CCONJ
ajst-19340	139	8	the	the	DET
ajst-19340	139	9	proposed	propose	VERB
ajst-19340	139	10	method	method	NOUN
ajst-19340	139	11	,	,	PUNCT
ajst-19340	139	12	the	the	DET
ajst-19340	139	13	learning	learning	NOUN
ajst-19340	139	14	rate	rate	NOUN
ajst-19340	139	15	is	be	AUX
ajst-19340	139	16	set	set	VERB
ajst-19340	139	17	to	to	ADP
ajst-19340	139	18	2e-5	2e-5	NOUN
ajst-19340	139	19	,	,	PUNCT
ajst-19340	139	20	batch	batch	NOUN
ajst-19340	139	21	size	size	NOUN
ajst-19340	139	22	to	to	ADP
ajst-19340	139	23	64	64	NUM
ajst-19340	139	24	,	,	PUNCT
ajst-19340	139	25	maximum	maximum	ADJ
ajst-19340	139	26	sentence	sentence	NOUN
ajst-19340	139	27	length	length	NOUN
ajst-19340	139	28	to	to	ADP
ajst-19340	139	29	256	256	NUM
ajst-19340	139	30	,	,	PUNCT
ajst-19340	139	31	and	and	CCONJ
ajst-19340	139	32	the	the	DET
ajst-19340	139	33	number	number	NOUN
ajst-19340	139	34	of	of	ADP
ajst-19340	139	35	training	training	NOUN
ajst-19340	139	36	epochs	epoch	NOUN
ajst-19340	139	37	is	be	AUX
ajst-19340	139	38	100	100	NUM
ajst-19340	139	39	.	.	PUNCT
ajst-19340	140	1	the	the	DET
ajst-19340	140	2	optimizer	optimizer	NOUN
ajst-19340	140	3	used	use	VERB
ajst-19340	140	4	during	during	ADP
ajst-19340	140	5	model	model	NOUN
ajst-19340	140	6	training	training	NOUN
ajst-19340	140	7	is	be	AUX
ajst-19340	140	8	adamw	adamw	NOUN
ajst-19340	140	9	.	.	PUNCT
ajst-19340	141	1	to	to	PART
ajst-19340	141	2	verify	verify	VERB
ajst-19340	141	3	the	the	DET
ajst-19340	141	4	effectiveness	effectiveness	NOUN
ajst-19340	141	5	of	of	ADP
ajst-19340	141	6	the	the	DET
ajst-19340	141	7	method	method	NOUN
ajst-19340	141	8	proposed	propose	VERB
ajst-19340	141	9	in	in	ADP
ajst-19340	141	10	this	this	DET
ajst-19340	141	11	paper	paper	NOUN
ajst-19340	141	12	,	,	PUNCT
ajst-19340	141	13	the	the	DET
ajst-19340	141	14	following	follow	VERB
ajst-19340	141	15	models	model	NOUN
ajst-19340	141	16	were	be	AUX
ajst-19340	141	17	chosen	choose	VERB
ajst-19340	141	18	for	for	ADP
ajst-19340	141	19	comparative	comparative	ADJ
ajst-19340	141	20	experiments	experiment	NOUN
ajst-19340	141	21	:	:	PUNCT
ajst-19340	141	22	bert+crf	bert+crf	NOUN
ajst-19340	141	23	,	,	PUNCT
ajst-19340	141	24	bert+bilstm+crf	bert+bilstm+crf	PROPN
ajst-19340	141	25	,	,	PUNCT
ajst-19340	141	26	mcbert+crf	mcbert+crf	PROPN
ajst-19340	141	27	,	,	PUNCT
ajst-19340	141	28	mc	mc	PROPN
ajst-19340	141	29	-	-	PUNCT
ajst-19340	141	30	bert+bilstm+crf	bert+bilstm+crf	PROPN
ajst-19340	141	31	,	,	PUNCT
ajst-19340	141	32	bart+crf	bart+crf	NOUN
ajst-19340	141	33	,	,	PUNCT
ajst-19340	141	34	and	and	CCONJ
ajst-19340	141	35	bart+bilstm+crf	bart+bilstm+crf	NOUN
ajst-19340	141	36	.	.	NOUN
ajst-19340	141	37	3.4	3.4	NUM
ajst-19340	141	38	.	.	PUNCT
ajst-19340	142	1	experimental	experimental	ADJ
ajst-19340	142	2	results	result	NOUN
ajst-19340	142	3	and	and	CCONJ
ajst-19340	142	4	analysis	analysis	NOUN
ajst-19340	142	5	3.4.1	3.4.1	NUM
ajst-19340	142	6	.	.	PUNCT
ajst-19340	142	7	comparison	comparison	NOUN
ajst-19340	142	8	with	with	ADP
ajst-19340	142	9	standardization	standardization	NOUN
ajst-19340	142	10	methods	method	NOUN
ajst-19340	142	11	table	table	NOUN
ajst-19340	142	12	2	2	NUM
ajst-19340	142	13	lists	list	VERB
ajst-19340	142	14	the	the	DET
ajst-19340	142	15	average	average	ADJ
ajst-19340	142	16	precision	precision	NOUN
ajst-19340	142	17	(	(	PUNCT
ajst-19340	142	18	pavg	pavg	NOUN
ajst-19340	142	19	)	)	PUNCT
ajst-19340	142	20	,	,	PUNCT
ajst-19340	142	21	average	average	ADJ
ajst-19340	142	22	recall	recall	NOUN
ajst-19340	142	23	(	(	PUNCT
ajst-19340	142	24	ravg	ravg	PROPN
ajst-19340	142	25	)	)	PUNCT
ajst-19340	142	26	,	,	PUNCT
ajst-19340	142	27	and	and	CCONJ
ajst-19340	142	28	average	average	ADJ
ajst-19340	142	29	f1	f1	NOUN
ajst-19340	142	30	score	score	NOUN
ajst-19340	142	31	(	(	PUNCT
ajst-19340	142	32	f1avg	f1avg	NOUN
ajst-19340	142	33	)	)	PUNCT
ajst-19340	142	34	for	for	ADP
ajst-19340	142	35	various	various	ADJ
ajst-19340	142	36	models	model	NOUN
ajst-19340	142	37	trained	train	VERB
ajst-19340	142	38	on	on	ADP
ajst-19340	142	39	the	the	DET
ajst-19340	142	40	traditional	traditional	ADJ
ajst-19340	142	41	chinese	chinese	ADJ
ajst-19340	142	42	medicine	medicine	NOUN
ajst-19340	142	43	clinical	clinical	ADJ
ajst-19340	142	44	pulse	pulse	NOUN
ajst-19340	142	45	feeling	feeling	NOUN
ajst-19340	142	46	and	and	CCONJ
ajst-19340	142	47	palpation	palpation	NOUN
ajst-19340	142	48	information	information	NOUN
ajst-19340	142	49	part	part	NOUN
ajst-19340	142	50	-	-	PUNCT
ajst-19340	142	51	of	of	ADP
ajst-19340	142	52	-	-	PUNCT
ajst-19340	142	53	speech	speech	NOUN
ajst-19340	142	54	tagging	tagging	NOUN
ajst-19340	142	55	dataset	dataset	NOUN
ajst-19340	142	56	.	.	PUNCT
ajst-19340	143	1	these	these	DET
ajst-19340	143	2	models	model	NOUN
ajst-19340	143	3	include	include	VERB
ajst-19340	143	4	the	the	DET
ajst-19340	143	5	proposed	propose	VERB
ajst-19340	143	6	method	method	NOUN
ajst-19340	143	7	with	with	ADP
ajst-19340	143	8	different	different	ADJ
ajst-19340	143	9	pre	pre	ADJ
ajst-19340	143	10	-	-	ADJ
ajst-19340	143	11	trained	train	VERB
ajst-19340	143	12	language	language	NOUN
ajst-19340	143	13	models	model	NOUN
ajst-19340	143	14	(	(	PUNCT
ajst-19340	143	15	plms	plm	NOUN
ajst-19340	143	16	)	)	PUNCT
ajst-19340	143	17	and	and	CCONJ
ajst-19340	143	18	three	three	NUM
ajst-19340	143	19	other	other	ADJ
ajst-19340	143	20	fine	fine	ADJ
ajst-19340	143	21	-	-	PUNCT
ajst-19340	143	22	tuning	tuning	NOUN
ajst-19340	143	23	-	-	PUNCT
ajst-19340	143	24	based	base	VERB
ajst-19340	143	25	part	part	NOUN
ajst-19340	143	26	-	-	PUNCT
ajst-19340	143	27	of	of	ADP
ajst-19340	143	28	-	-	PUNCT
ajst-19340	143	29	speech	speech	NOUN
ajst-19340	143	30	tagging	tagging	NOUN
ajst-19340	143	31	models	model	NOUN
ajst-19340	143	32	(	(	PUNCT
ajst-19340	143	33	plm+bilstm	plm+bilstm	NOUN
ajst-19340	143	34	,	,	PUNCT
ajst-19340	143	35	plm+bilstm	plm+bilstm	NOUN
ajst-19340	143	36	,	,	PUNCT
ajst-19340	143	37	and	and	CCONJ
ajst-19340	143	38	plm+crf	plm+crf	NOUN
ajst-19340	143	39	)	)	PUNCT
ajst-19340	143	40	.	.	PUNCT
ajst-19340	144	1	all	all	DET
ajst-19340	144	2	values	value	NOUN
ajst-19340	144	3	are	be	AUX
ajst-19340	144	4	represented	represent	VERB
ajst-19340	144	5	as	as	ADP
ajst-19340	144	6	percentages	percentage	NOUN
ajst-19340	144	7	.	.	PUNCT
ajst-19340	145	1	the	the	DET
ajst-19340	145	2	experimental	experimental	ADJ
ajst-19340	145	3	results	result	NOUN
ajst-19340	145	4	show	show	VERB
ajst-19340	145	5	that	that	SCONJ
ajst-19340	145	6	all	all	DET
ajst-19340	145	7	baseline	baseline	NOUN
ajst-19340	145	8	models	model	NOUN
ajst-19340	145	9	demonstrate	demonstrate	VERB
ajst-19340	145	10	a	a	DET
ajst-19340	145	11	trend	trend	NOUN
ajst-19340	145	12	of	of	ADP
ajst-19340	145	13	performance	performance	NOUN
ajst-19340	145	14	improvement	improvement	NOUN
ajst-19340	145	15	as	as	ADP
ajst-19340	145	16	the	the	DET
ajst-19340	145	17	number	number	NOUN
ajst-19340	145	18	of	of	ADP
ajst-19340	145	19	samples	sample	NOUN
ajst-19340	145	20	increases	increase	NOUN
ajst-19340	145	21	(	(	PUNCT
ajst-19340	145	22	from	from	ADP
ajst-19340	145	23	5	5	NUM
ajst-19340	145	24	-	-	PUNCT
ajst-19340	145	25	shot	shot	NOUN
ajst-19340	145	26	to	to	ADP
ajst-19340	145	27	25	25	NUM
ajst-19340	145	28	-	-	PUNCT
ajst-19340	145	29	shot	shot	NOUN
ajst-19340	145	30	)	)	PUNCT
ajst-19340	145	31	,	,	PUNCT
ajst-19340	145	32	indicating	indicate	VERB
ajst-19340	145	33	that	that	SCONJ
ajst-19340	145	34	the	the	DET
ajst-19340	145	35	models	model	NOUN
ajst-19340	145	36	can	can	AUX
ajst-19340	145	37	learn	learn	VERB
ajst-19340	145	38	more	more	ADJ
ajst-19340	145	39	from	from	ADP
ajst-19340	145	40	a	a	DET
ajst-19340	145	41	larger	large	ADJ
ajst-19340	145	42	number	number	NOUN
ajst-19340	145	43	of	of	ADP
ajst-19340	145	44	samples	sample	NOUN
ajst-19340	145	45	,	,	PUNCT
ajst-19340	145	46	thereby	thereby	ADV
ajst-19340	145	47	improving	improve	VERB
ajst-19340	145	48	the	the	DET
ajst-19340	145	49	accuracy	accuracy	NOUN
ajst-19340	145	50	of	of	ADP
ajst-19340	145	51	partof	partof	NOUN
ajst-19340	145	52	-	-	PUNCT
ajst-19340	145	53	speech	speech	NOUN
ajst-19340	145	54	tagging	tagging	NOUN
ajst-19340	145	55	.	.	PUNCT
ajst-19340	146	1	in	in	ADP
ajst-19340	146	2	different	different	ADJ
ajst-19340	146	3	experimental	experimental	ADJ
ajst-19340	146	4	groups	group	NOUN
ajst-19340	146	5	corresponding	correspond	VERB
ajst-19340	146	6	to	to	ADP
ajst-19340	146	7	different	different	ADJ
ajst-19340	146	8	pretrained	pretraine	VERB
ajst-19340	146	9	language	language	NOUN
ajst-19340	146	10	models	model	NOUN
ajst-19340	146	11	,	,	PUNCT
ajst-19340	146	12	the	the	DET
ajst-19340	146	13	model	model	NOUN
ajst-19340	146	14	proposed	propose	VERB
ajst-19340	146	15	in	in	ADP
ajst-19340	146	16	this	this	DET
ajst-19340	146	17	paper	paper	NOUN
ajst-19340	146	18	consistently	consistently	ADV
ajst-19340	146	19	outperforms	outperform	VERB
ajst-19340	146	20	the	the	DET
ajst-19340	146	21	other	other	ADJ
ajst-19340	146	22	fine	fine	ADV
ajst-19340	146	23	-	-	PUNCT
ajst-19340	146	24	tuning	tuning	NOUN
ajst-19340	146	25	-	-	PUNCT
ajst-19340	146	26	based	base	VERB
ajst-19340	146	27	baseline	baseline	NOUN
ajst-19340	146	28	models	model	NOUN
ajst-19340	146	29	.	.	PUNCT
ajst-19340	147	1	however	however	ADV
ajst-19340	147	2	,	,	PUNCT
ajst-19340	147	3	it	it	PRON
ajst-19340	147	4	is	be	AUX
ajst-19340	147	5	observed	observe	VERB
ajst-19340	147	6	that	that	SCONJ
ajst-19340	147	7	the	the	DET
ajst-19340	147	8	best	well	ADV
ajst-19340	147	9	-	-	PUNCT
ajst-19340	147	10	performing	perform	VERB
ajst-19340	147	11	model	model	NOUN
ajst-19340	147	12	varies	vary	VERB
ajst-19340	147	13	under	under	ADP
ajst-19340	147	14	different	different	ADJ
ajst-19340	147	15	pretrained	pretraine	VERB
ajst-19340	147	16	language	language	NOUN
ajst-19340	147	17	models	model	NOUN
ajst-19340	147	18	,	,	PUNCT
ajst-19340	147	19	which	which	PRON
ajst-19340	147	20	indicates	indicate	VERB
ajst-19340	147	21	that	that	SCONJ
ajst-19340	147	22	the	the	DET
ajst-19340	147	23	part	part	NOUN
ajst-19340	147	24	-	-	PUNCT
ajst-19340	147	25	of	of	ADP
ajst-19340	147	26	-	-	PUNCT
ajst-19340	147	27	speech	speech	NOUN
ajst-19340	147	28	tagging	tagging	NOUN
ajst-19340	147	29	model	model	NOUN
ajst-19340	147	30	proposed	propose	VERB
ajst-19340	147	31	in	in	ADP
ajst-19340	147	32	this	this	DET
ajst-19340	147	33	paper	paper	NOUN
ajst-19340	147	34	has	have	VERB
ajst-19340	147	35	stronger	strong	ADJ
ajst-19340	147	36	adaptability	adaptability	NOUN
ajst-19340	147	37	and	and	CCONJ
ajst-19340	147	38	generalizability	generalizability	NOUN
ajst-19340	147	39	compared	compare	VERB
ajst-19340	147	40	to	to	ADP
ajst-19340	147	41	traditional	traditional	ADJ
ajst-19340	147	42	fine	fine	ADJ
ajst-19340	147	43	-	-	PUNCT
ajst-19340	147	44	tuning	tuning	NOUN
ajst-19340	147	45	-	-	PUNCT
ajst-19340	147	46	based	base	VERB
ajst-19340	147	47	part	part	NOUN
ajst-19340	147	48	-	-	PUNCT
ajst-19340	147	49	of	of	ADP
ajst-19340	147	50	-	-	PUNCT
ajst-19340	147	51	speech	speech	NOUN
ajst-19340	147	52	tagging	tagging	NOUN
ajst-19340	147	53	models	model	NOUN
ajst-19340	147	54	.	.	PUNCT
ajst-19340	148	1	from	from	ADP
ajst-19340	148	2	figure	figure	NOUN
ajst-19340	148	3	3	3	NUM
ajst-19340	148	4	,	,	PUNCT
ajst-19340	148	5	it	it	PRON
ajst-19340	148	6	can	can	AUX
ajst-19340	148	7	be	be	AUX
ajst-19340	148	8	seen	see	VERB
ajst-19340	148	9	that	that	SCONJ
ajst-19340	148	10	the	the	DET
ajst-19340	148	11	mc	mc	PROPN
ajst-19340	148	12	-	-	PUNCT
ajst-19340	148	13	bert	bert	PROPN
ajst-19340	148	14	model	model	NOUN
ajst-19340	148	15	ranks	rank	VERB
ajst-19340	148	16	second	second	ADV
ajst-19340	148	17	in	in	ADP
ajst-19340	148	18	terms	term	NOUN
ajst-19340	148	19	of	of	ADP
ajst-19340	148	20	performance	performance	NOUN
ajst-19340	148	21	.	.	PUNCT
ajst-19340	149	1	however	however	ADV
ajst-19340	149	2	,	,	PUNCT
ajst-19340	149	3	it	it	PRON
ajst-19340	149	4	is	be	AUX
ajst-19340	149	5	noteworthy	noteworthy	ADJ
ajst-19340	149	6	that	that	SCONJ
ajst-19340	149	7	as	as	ADP
ajst-19340	149	8	the	the	DET
ajst-19340	149	9	number	number	NOUN
ajst-19340	149	10	of	of	ADP
ajst-19340	149	11	training	training	NOUN
ajst-19340	149	12	samples	sample	NOUN
ajst-19340	149	13	increases	increase	NOUN
ajst-19340	149	14	,	,	PUNCT
ajst-19340	149	15	the	the	DET
ajst-19340	149	16	performance	performance	NOUN
ajst-19340	149	17	of	of	ADP
ajst-19340	149	18	mc	mc	PROPN
ajst-19340	149	19	-	-	PUNCT
ajst-19340	149	20	bert	bert	PROPN
ajst-19340	149	21	significantly	significantly	ADV
ajst-19340	149	22	improves	improve	VERB
ajst-19340	149	23	,	,	PUNCT
ajst-19340	149	24	maintaining	maintain	VERB
ajst-19340	149	25	an	an	DET
ajst-19340	149	26	average	average	ADJ
ajst-19340	149	27	f1	f1	NOUN
ajst-19340	149	28	score	score	NOUN
ajst-19340	149	29	gap	gap	NOUN
ajst-19340	149	30	of	of	ADP
ajst-19340	149	31	within	within	ADP
ajst-19340	149	32	2	2	NUM
ajst-19340	149	33	%	%	NOUN
ajst-19340	149	34	compared	compare	VERB
ajst-19340	149	35	to	to	ADP
ajst-19340	149	36	the	the	DET
ajst-19340	149	37	bart	bart	PROPN
ajst-19340	149	38	model	model	PROPN
ajst-19340	149	39	.	.	PUNCT
ajst-19340	150	1	this	this	DET
ajst-19340	150	2	result	result	NOUN
ajst-19340	150	3	indicates	indicate	VERB
ajst-19340	150	4	that	that	SCONJ
ajst-19340	150	5	although	although	SCONJ
ajst-19340	150	6	mcbert	mcbert	NOUN
ajst-19340	150	7	is	be	AUX
ajst-19340	150	8	slightly	slightly	ADV
ajst-19340	150	9	less	less	ADV
ajst-19340	150	10	effective	effective	ADJ
ajst-19340	150	11	than	than	ADP
ajst-19340	150	12	bart	bart	NOUN
ajst-19340	150	13	in	in	ADP
ajst-19340	150	14	scenarios	scenario	NOUN
ajst-19340	150	15	with	with	ADP
ajst-19340	150	16	fewer	few	ADJ
ajst-19340	150	17	data	datum	NOUN
ajst-19340	150	18	samples	sample	NOUN
ajst-19340	150	19	,	,	PUNCT
ajst-19340	150	20	it	it	PRON
ajst-19340	150	21	can	can	AUX
ajst-19340	150	22	demonstrate	demonstrate	VERB
ajst-19340	150	23	performance	performance	NOUN
ajst-19340	150	24	comparable	comparable	ADJ
ajst-19340	150	25	to	to	ADP
ajst-19340	150	26	bart	bart	PROPN
ajst-19340	150	27	when	when	SCONJ
ajst-19340	150	28	the	the	DET
ajst-19340	150	29	sample	sample	NOUN
ajst-19340	150	30	size	size	NOUN
ajst-19340	150	31	is	be	AUX
ajst-19340	150	32	moderately	moderately	ADV
ajst-19340	150	33	increased	increase	VERB
ajst-19340	150	34	,	,	PUNCT
ajst-19340	150	35	highlighting	highlight	VERB
ajst-19340	150	36	mc	mc	PROPN
ajst-19340	150	37	-	-	PUNCT
ajst-19340	150	38	bert	bert	PROPN
ajst-19340	150	39	's	's	PART
ajst-19340	150	40	suitability	suitability	NOUN
ajst-19340	150	41	and	and	CCONJ
ajst-19340	150	42	effectiveness	effectiveness	NOUN
ajst-19340	150	43	for	for	ADP
ajst-19340	150	44	part	part	NOUN
ajst-19340	150	45	-	-	PUNCT
ajst-19340	150	46	of	of	ADP
ajst-19340	150	47	-	-	PUNCT
ajst-19340	150	48	speech	speech	NOUN
ajst-19340	150	49	tagging	tagging	NOUN
ajst-19340	150	50	tasks	task	NOUN
ajst-19340	150	51	in	in	ADP
ajst-19340	150	52	traditional	traditional	ADJ
ajst-19340	150	53	chinese	chinese	ADJ
ajst-19340	150	54	medicine	medicine	NOUN
ajst-19340	150	55	clinical	clinical	ADJ
ajst-19340	150	56	pulse	pulse	NOUN
ajst-19340	150	57	feeling	feeling	NOUN
ajst-19340	150	58	and	and	CCONJ
ajst-19340	150	59	palpation	palpation	NOUN
ajst-19340	150	60	information	information	NOUN
ajst-19340	150	61	.	.	PUNCT
ajst-19340	151	1	furthermore	furthermore	ADV
ajst-19340	151	2	,	,	PUNCT
ajst-19340	151	3	it	it	PRON
ajst-19340	151	4	is	be	AUX
ajst-19340	151	5	important	important	ADJ
ajst-19340	151	6	to	to	PART
ajst-19340	151	7	note	note	VERB
ajst-19340	151	8	the	the	DET
ajst-19340	151	9	significant	significant	ADJ
ajst-19340	151	10	difference	difference	NOUN
ajst-19340	151	11	in	in	ADP
ajst-19340	151	12	parameter	parameter	NOUN
ajst-19340	151	13	size	size	NOUN
ajst-19340	151	14	between	between	ADP
ajst-19340	151	15	the	the	DET
ajst-19340	151	16	mc	mc	PROPN
ajst-19340	151	17	-	-	PUNCT
ajst-19340	151	18	bert	bert	PROPN
ajst-19340	151	19	and	and	CCONJ
ajst-19340	151	20	bart	bart	PROPN
ajst-19340	151	21	models	model	NOUN
ajst-19340	151	22	:	:	PUNCT
ajst-19340	151	23	mc	mc	PROPN
ajst-19340	151	24	-	-	PUNCT
ajst-19340	151	25	bert	bert	PROPN
ajst-19340	151	26	has	have	VERB
ajst-19340	151	27	a	a	DET
ajst-19340	151	28	parameter	parameter	NOUN
ajst-19340	151	29	size	size	NOUN
ajst-19340	151	30	of	of	ADP
ajst-19340	151	31	390.286	390.286	NUM
ajst-19340	151	32	mb	mb	NOUN
ajst-19340	151	33	,	,	PUNCT
ajst-19340	151	34	while	while	SCONJ
ajst-19340	151	35	bart	bart	PROPN
ajst-19340	151	36	is	be	AUX
ajst-19340	151	37	1436.215	1436.215	NUM
ajst-19340	151	38	mb	mb	NOUN
ajst-19340	151	39	.	.	PUNCT
ajst-19340	152	1	this	this	DET
ajst-19340	152	2	difference	difference	NOUN
ajst-19340	152	3	in	in	ADP
ajst-19340	152	4	parameter	parameter	NOUN
ajst-19340	152	5	size	size	NOUN
ajst-19340	152	6	is	be	AUX
ajst-19340	152	7	particularly	particularly	ADV
ajst-19340	152	8	crucial	crucial	ADJ
ajst-19340	152	9	for	for	ADP
ajst-19340	152	10	applications	application	NOUN
ajst-19340	152	11	in	in	ADP
ajst-19340	152	12	lowresource	lowresource	PROPN
ajst-19340	152	13	environments	environment	NOUN
ajst-19340	152	14	.	.	PUNCT
ajst-19340	153	1	even	even	ADV
ajst-19340	153	2	though	though	SCONJ
ajst-19340	153	3	mc	mc	PROPN
ajst-19340	153	4	-	-	PUNCT
ajst-19340	153	5	bert	bert	PROPN
ajst-19340	153	6	is	be	AUX
ajst-19340	153	7	slightly	slightly	ADV
ajst-19340	153	8	inferior	inferior	ADJ
ajst-19340	153	9	to	to	ADP
ajst-19340	153	10	bart	bart	PROPN
ajst-19340	153	11	in	in	ADP
ajst-19340	153	12	certain	certain	ADJ
ajst-19340	153	13	performance	performance	NOUN
ajst-19340	153	14	metrics	metric	NOUN
ajst-19340	153	15	,	,	PUNCT
ajst-19340	153	16	its	its	PRON
ajst-19340	153	17	relatively	relatively	ADV
ajst-19340	153	18	smaller	small	ADJ
ajst-19340	153	19	parameter	parameter	NOUN
ajst-19340	153	20	size	size	NOUN
ajst-19340	153	21	means	mean	VERB
ajst-19340	153	22	that	that	SCONJ
ajst-19340	153	23	it	it	PRON
ajst-19340	153	24	can	can	AUX
ajst-19340	153	25	serve	serve	VERB
ajst-19340	153	26	as	as	ADP
ajst-19340	153	27	a	a	DET
ajst-19340	153	28	more	more	ADV
ajst-19340	153	29	efficient	efficient	ADJ
ajst-19340	153	30	alternative	alternative	NOUN
ajst-19340	153	31	in	in	ADP
ajst-19340	153	32	environments	environment	NOUN
ajst-19340	153	33	with	with	ADP
ajst-19340	153	34	limited	limited	ADJ
ajst-19340	153	35	memory	memory	NOUN
ajst-19340	153	36	.	.	PUNCT
ajst-19340	154	1	using	use	VERB
ajst-19340	154	2	mc	mc	PROPN
ajst-19340	154	3	-	-	PUNCT
ajst-19340	154	4	bert	bert	PROPN
ajst-19340	154	5	as	as	ADP
ajst-19340	154	6	a	a	DET
ajst-19340	154	7	pretrained	pretraine	VERB
ajst-19340	154	8	language	language	NOUN
ajst-19340	154	9	model	model	NOUN
ajst-19340	154	10	provides	provide	VERB
ajst-19340	154	11	a	a	DET
ajst-19340	154	12	viable	viable	ADJ
ajst-19340	154	13	way	way	NOUN
ajst-19340	154	14	to	to	PART
ajst-19340	154	15	balance	balance	VERB
ajst-19340	154	16	resource	resource	NOUN
ajst-19340	154	17	constraints	constraint	NOUN
ajst-19340	154	18	with	with	ADP
ajst-19340	154	19	performance	performance	NOUN
ajst-19340	154	20	needs	need	NOUN
ajst-19340	154	21	,	,	PUNCT
ajst-19340	154	22	within	within	ADP
ajst-19340	154	23	an	an	DET
ajst-19340	154	24	acceptable	acceptable	ADJ
ajst-19340	154	25	range	range	NOUN
ajst-19340	154	26	of	of	ADP
ajst-19340	154	27	model	model	NOUN
ajst-19340	154	28	performance	performance	NOUN
ajst-19340	154	29	loss	loss	NOUN
ajst-19340	154	30	.	.	PUNCT
ajst-19340	155	1	therefore	therefore	ADV
ajst-19340	155	2	,	,	PUNCT
ajst-19340	155	3	mc	mc	PROPN
ajst-19340	155	4	-	-	PUNCT
ajst-19340	155	5	bert	bert	PROPN
ajst-19340	155	6	offers	offer	VERB
ajst-19340	155	7	a	a	DET
ajst-19340	155	8	solution	solution	NOUN
ajst-19340	155	9	that	that	PRON
ajst-19340	155	10	is	be	AUX
ajst-19340	155	11	acceptable	acceptable	ADJ
ajst-19340	155	12	in	in	ADP
ajst-19340	155	13	terms	term	NOUN
ajst-19340	155	14	of	of	ADP
ajst-19340	155	15	loss	loss	NOUN
ajst-19340	155	16	and	and	CCONJ
ajst-19340	155	17	requires	require	VERB
ajst-19340	155	18	relatively	relatively	ADV
ajst-19340	155	19	fewer	few	ADJ
ajst-19340	155	20	resources	resource	NOUN
ajst-19340	155	21	.	.	PUNCT
ajst-19340	156	1	regarding	regard	VERB
ajst-19340	156	2	the	the	DET
ajst-19340	156	3	recognition	recognition	NOUN
ajst-19340	156	4	of	of	ADP
ajst-19340	156	5	words	word	NOUN
ajst-19340	156	6	with	with	ADP
ajst-19340	156	7	multiple	multiple	ADJ
ajst-19340	156	8	parts	part	NOUN
ajst-19340	156	9	of	of	ADP
ajst-19340	156	10	441	441	NUM
ajst-19340	156	11	speech	speech	NOUN
ajst-19340	156	12	,	,	PUNCT
ajst-19340	156	13	it	it	PRON
ajst-19340	156	14	has	have	AUX
ajst-19340	156	15	been	be	AUX
ajst-19340	156	16	statistically	statistically	ADV
ajst-19340	156	17	found	find	VERB
ajst-19340	156	18	that	that	SCONJ
ajst-19340	156	19	the	the	DET
ajst-19340	156	20	model	model	NOUN
ajst-19340	156	21	achieves	achieve	VERB
ajst-19340	156	22	a	a	DET
ajst-19340	156	23	recognition	recognition	NOUN
ajst-19340	156	24	rate	rate	NOUN
ajst-19340	156	25	of	of	ADP
ajst-19340	156	26	38.81	38.81	NUM
ajst-19340	156	27	%	%	NOUN
ajst-19340	156	28	for	for	ADP
ajst-19340	156	29	such	such	ADJ
ajst-19340	156	30	words	word	NOUN
ajst-19340	156	31	,	,	PUNCT
ajst-19340	156	32	which	which	PRON
ajst-19340	156	33	is	be	AUX
ajst-19340	156	34	8.55	8.55	NUM
ajst-19340	156	35	%	%	NOUN
ajst-19340	156	36	higher	high	ADJ
ajst-19340	156	37	than	than	ADP
ajst-19340	156	38	the	the	DET
ajst-19340	156	39	baseline	baseline	NOUN
ajst-19340	156	40	models	model	NOUN
ajst-19340	156	41	.	.	PUNCT
ajst-19340	157	1	this	this	PRON
ajst-19340	157	2	demonstrates	demonstrate	VERB
ajst-19340	157	3	the	the	DET
ajst-19340	157	4	effectiveness	effectiveness	NOUN
ajst-19340	157	5	of	of	ADP
ajst-19340	157	6	the	the	DET
ajst-19340	157	7	proposed	propose	VERB
ajst-19340	157	8	method	method	NOUN
ajst-19340	157	9	in	in	ADP
ajst-19340	157	10	addressing	address	VERB
ajst-19340	157	11	the	the	DET
ajst-19340	157	12	issue	issue	NOUN
ajst-19340	157	13	of	of	ADP
ajst-19340	157	14	words	word	NOUN
ajst-19340	157	15	with	with	ADP
ajst-19340	157	16	multiple	multiple	ADJ
ajst-19340	157	17	parts	part	NOUN
ajst-19340	157	18	of	of	ADP
ajst-19340	157	19	speech	speech	NOUN
ajst-19340	157	20	.	.	PUNCT
ajst-19340	158	1	figure	figure	NOUN
ajst-19340	158	2	3	3	NUM
ajst-19340	158	3	.	.	PUNCT
ajst-19340	159	1	curve	curve	NOUN
ajst-19340	159	2	of	of	ADP
ajst-19340	159	3	the	the	DET
ajst-19340	159	4	change	change	NOUN
ajst-19340	159	5	of	of	ADP
ajst-19340	159	6	f1	f1	ADJ
ajst-19340	159	7	values	value	NOUN
ajst-19340	159	8	of	of	ADP
ajst-19340	159	9	different	different	ADJ
ajst-19340	159	10	pretraining	pretraine	VERB
ajst-19340	159	11	language	language	NOUN
ajst-19340	159	12	models	model	NOUN
ajst-19340	159	13	with	with	ADP
ajst-19340	159	14	training	training	NOUN
ajst-19340	159	15	scale	scale	NOUN
ajst-19340	159	16	to	to	PART
ajst-19340	159	17	assess	assess	VERB
ajst-19340	159	18	the	the	DET
ajst-19340	159	19	role	role	NOUN
ajst-19340	159	20	of	of	ADP
ajst-19340	159	21	the	the	DET
ajst-19340	159	22	hidden	hide	VERB
ajst-19340	159	23	markov	markov	NOUN
ajst-19340	159	24	model	model	NOUN
ajst-19340	159	25	(	(	PUNCT
ajst-19340	159	26	hmm	hmm	INTJ
ajst-19340	159	27	)	)	PUNCT
ajst-19340	159	28	in	in	ADP
ajst-19340	159	29	the	the	DET
ajst-19340	159	30	proposed	propose	VERB
ajst-19340	159	31	model	model	NOUN
ajst-19340	159	32	,	,	PUNCT
ajst-19340	159	33	an	an	DET
ajst-19340	159	34	ablation	ablation	NOUN
ajst-19340	159	35	study	study	NOUN
ajst-19340	159	36	was	be	AUX
ajst-19340	159	37	conducted	conduct	VERB
ajst-19340	159	38	.	.	PUNCT
ajst-19340	160	1	in	in	ADP
ajst-19340	160	2	this	this	DET
ajst-19340	160	3	study	study	NOUN
ajst-19340	160	4	,	,	PUNCT
ajst-19340	160	5	the	the	DET
ajst-19340	160	6	hmm	hmm	NOUN
ajst-19340	160	7	component	component	NOUN
ajst-19340	160	8	was	be	AUX
ajst-19340	160	9	removed	remove	VERB
ajst-19340	160	10	,	,	PUNCT
ajst-19340	160	11	and	and	CCONJ
ajst-19340	160	12	the	the	DET
ajst-19340	160	13	results	result	NOUN
ajst-19340	160	14	were	be	AUX
ajst-19340	160	15	compared	compare	VERB
ajst-19340	160	16	with	with	ADP
ajst-19340	160	17	those	those	PRON
ajst-19340	160	18	of	of	ADP
ajst-19340	160	19	the	the	DET
ajst-19340	160	20	complete	complete	ADJ
ajst-19340	160	21	model	model	NOUN
ajst-19340	160	22	.	.	PUNCT
ajst-19340	161	1	as	as	SCONJ
ajst-19340	161	2	shown	show	VERB
ajst-19340	161	3	in	in	ADP
ajst-19340	161	4	table	table	NOUN
ajst-19340	161	5	3	3	NUM
ajst-19340	161	6	,	,	PUNCT
ajst-19340	161	7	the	the	DET
ajst-19340	161	8	ablation	ablation	NOUN
ajst-19340	161	9	study	study	NOUN
ajst-19340	161	10	revealed	reveal	VERB
ajst-19340	161	11	that	that	SCONJ
ajst-19340	161	12	the	the	DET
ajst-19340	161	13	removal	removal	NOUN
ajst-19340	161	14	of	of	ADP
ajst-19340	161	15	the	the	DET
ajst-19340	161	16	hmm	hmm	NOUN
ajst-19340	161	17	led	lead	VERB
ajst-19340	161	18	to	to	ADP
ajst-19340	161	19	a	a	DET
ajst-19340	161	20	decrease	decrease	NOUN
ajst-19340	161	21	in	in	ADP
ajst-19340	161	22	the	the	DET
ajst-19340	161	23	average	average	ADJ
ajst-19340	161	24	f1	f1	NOUN
ajst-19340	161	25	score	score	NOUN
ajst-19340	161	26	of	of	ADP
ajst-19340	161	27	the	the	DET
ajst-19340	161	28	proposed	propose	VERB
ajst-19340	161	29	model	model	NOUN
ajst-19340	161	30	across	across	ADP
ajst-19340	161	31	different	different	ADJ
ajst-19340	161	32	pretrained	pretraine	VERB
ajst-19340	161	33	language	language	NOUN
ajst-19340	161	34	models	model	NOUN
ajst-19340	161	35	and	and	CCONJ
ajst-19340	161	36	training	training	NOUN
ajst-19340	161	37	set	set	NOUN
ajst-19340	161	38	sizes	size	NOUN
ajst-19340	161	39	.	.	PUNCT
ajst-19340	162	1	this	this	DET
ajst-19340	162	2	decrease	decrease	NOUN
ajst-19340	162	3	in	in	ADP
ajst-19340	162	4	performance	performance	NOUN
ajst-19340	162	5	indicates	indicate	VERB
ajst-19340	162	6	the	the	DET
ajst-19340	162	7	crucial	crucial	ADJ
ajst-19340	162	8	role	role	NOUN
ajst-19340	162	9	that	that	PRON
ajst-19340	162	10	the	the	DET
ajst-19340	162	11	hmm	hmm	NOUN
ajst-19340	162	12	plays	play	VERB
ajst-19340	162	13	in	in	ADP
ajst-19340	162	14	the	the	DET
ajst-19340	162	15	part	part	NOUN
ajst-19340	162	16	-	-	PUNCT
ajst-19340	162	17	of	of	ADP
ajst-19340	162	18	-	-	PUNCT
ajst-19340	162	19	speech	speech	NOUN
ajst-19340	162	20	tagging	tagging	NOUN
ajst-19340	162	21	task	task	NOUN
ajst-19340	162	22	for	for	ADP
ajst-19340	162	23	traditional	traditional	ADJ
ajst-19340	162	24	chinese	chinese	ADJ
ajst-19340	162	25	medicine	medicine	NOUN
ajst-19340	162	26	clinical	clinical	ADJ
ajst-19340	162	27	pulse	pulse	NOUN
ajst-19340	162	28	feeling	feeling	NOUN
ajst-19340	162	29	and	and	CCONJ
ajst-19340	162	30	palpation	palpation	NOUN
ajst-19340	162	31	information	information	NOUN
ajst-19340	162	32	.	.	PUNCT
ajst-19340	163	1	this	this	DET
ajst-19340	163	2	study	study	NOUN
ajst-19340	163	3	presents	present	VERB
ajst-19340	163	4	a	a	DET
ajst-19340	163	5	part	part	NOUN
ajst-19340	163	6	-	-	PUNCT
ajst-19340	163	7	of	of	ADP
ajst-19340	163	8	-	-	PUNCT
ajst-19340	163	9	speech	speech	NOUN
ajst-19340	163	10	tagging	tagging	NOUN
ajst-19340	163	11	method	method	NOUN
ajst-19340	163	12	based	base	VERB
ajst-19340	163	13	on	on	ADP
ajst-19340	163	14	hidden	hidden	ADJ
ajst-19340	163	15	markov	markov	NOUN
ajst-19340	163	16	model	model	NOUN
ajst-19340	163	17	prompt	prompt	NOUN
ajst-19340	163	18	-	-	PUNCT
ajst-19340	163	19	tuning	tuning	NOUN
ajst-19340	163	20	,	,	PUNCT
ajst-19340	163	21	aimed	aim	VERB
ajst-19340	163	22	at	at	ADP
ajst-19340	163	23	addressing	address	VERB
ajst-19340	163	24	part	part	NOUN
ajst-19340	163	25	-	-	PUNCT
ajst-19340	163	26	of	of	ADP
ajst-19340	163	27	-	-	PUNCT
ajst-19340	163	28	speech	speech	NOUN
ajst-19340	163	29	tagging	tagging	NOUN
ajst-19340	163	30	tasks	task	NOUN
ajst-19340	163	31	under	under	ADP
ajst-19340	163	32	low	low	ADJ
ajst-19340	163	33	-	-	PUNCT
ajst-19340	163	34	resource	resource	NOUN
ajst-19340	163	35	conditions	condition	NOUN
ajst-19340	163	36	.	.	PUNCT
ajst-19340	164	1	this	this	DET
ajst-19340	164	2	method	method	NOUN
ajst-19340	164	3	,	,	PUNCT
ajst-19340	164	4	using	use	VERB
ajst-19340	164	5	the	the	DET
ajst-19340	164	6	concept	concept	NOUN
ajst-19340	164	7	of	of	ADP
ajst-19340	164	8	sequence	sequence	NOUN
ajst-19340	164	9	labeling	labeling	NOUN
ajst-19340	164	10	combined	combine	VERB
ajst-19340	164	11	with	with	ADP
ajst-19340	164	12	dynamic	dynamic	ADJ
ajst-19340	164	13	contextual	contextual	ADJ
ajst-19340	164	14	information	information	NOUN
ajst-19340	164	15	and	and	CCONJ
ajst-19340	164	16	transforming	transform	VERB
ajst-19340	164	17	the	the	DET
ajst-19340	164	18	part	part	NOUN
ajst-19340	164	19	-	-	PUNCT
ajst-19340	164	20	of	of	ADP
ajst-19340	164	21	-	-	PUNCT
ajst-19340	164	22	speech	speech	NOUN
ajst-19340	164	23	tagging	tagging	NOUN
ajst-19340	164	24	task	task	NOUN
ajst-19340	164	25	into	into	ADP
ajst-19340	164	26	a	a	DET
ajst-19340	164	27	cloze	cloze	NOUN
ajst-19340	164	28	task	task	NOUN
ajst-19340	164	29	,	,	PUNCT
ajst-19340	164	30	effectively	effectively	ADV
ajst-19340	164	31	bridges	bridge	VERB
ajst-19340	164	32	the	the	DET
ajst-19340	164	33	gap	gap	NOUN
ajst-19340	164	34	between	between	ADP
ajst-19340	164	35	pretrained	pretraine	VERB
ajst-19340	164	36	models	model	NOUN
ajst-19340	164	37	and	and	CCONJ
ajst-19340	164	38	downstream	downstream	ADJ
ajst-19340	164	39	tasks	task	NOUN
ajst-19340	164	40	.	.	PUNCT
ajst-19340	165	1	it	it	PRON
ajst-19340	165	2	solves	solve	VERB
ajst-19340	165	3	the	the	DET
ajst-19340	165	4	issue	issue	NOUN
ajst-19340	165	5	of	of	ADP
ajst-19340	165	6	words	word	NOUN
ajst-19340	165	7	with	with	ADP
ajst-19340	165	8	multiple	multiple	ADJ
ajst-19340	165	9	parts	part	NOUN
ajst-19340	165	10	of	of	ADP
ajst-19340	165	11	speech	speech	NOUN
ajst-19340	165	12	in	in	ADP
ajst-19340	165	13	traditional	traditional	ADJ
ajst-19340	165	14	chinese	chinese	ADJ
ajst-19340	165	15	medicine	medicine	NOUN
ajst-19340	165	16	clinical	clinical	ADJ
ajst-19340	165	17	pulse	pulse	NOUN
ajst-19340	165	18	feeling	feeling	NOUN
ajst-19340	165	19	and	and	CCONJ
ajst-19340	165	20	palpation	palpation	NOUN
ajst-19340	165	21	information	information	NOUN
ajst-19340	165	22	.	.	PUNCT
ajst-19340	166	1	additionally	additionally	ADV
ajst-19340	166	2	,	,	PUNCT
ajst-19340	166	3	the	the	DET
ajst-19340	166	4	prompt	prompt	ADJ
ajst-19340	166	5	-	-	PUNCT
ajst-19340	166	6	tuning	tune	VERB
ajst-19340	166	7	approach	approach	NOUN
ajst-19340	166	8	enhances	enhance	VERB
ajst-19340	166	9	the	the	DET
ajst-19340	166	10	model	model	NOUN
ajst-19340	166	11	's	's	PART
ajst-19340	166	12	performance	performance	NOUN
ajst-19340	166	13	in	in	ADP
ajst-19340	166	14	low	low	ADJ
ajst-19340	166	15	-	-	PUNCT
ajst-19340	166	16	resource	resource	NOUN
ajst-19340	166	17	scenarios	scenario	NOUN
ajst-19340	166	18	.	.	PUNCT
ajst-19340	167	1	the	the	DET
ajst-19340	167	2	experimental	experimental	ADJ
ajst-19340	167	3	results	result	NOUN
ajst-19340	167	4	demonstrate	demonstrate	VERB
ajst-19340	167	5	that	that	SCONJ
ajst-19340	167	6	the	the	DET
ajst-19340	167	7	proposed	propose	VERB
ajst-19340	167	8	method	method	NOUN
ajst-19340	167	9	significantly	significantly	ADV
ajst-19340	167	10	outperforms	outperform	VERB
ajst-19340	167	11	control	control	NOUN
ajst-19340	167	12	models	model	NOUN
ajst-19340	167	13	under	under	ADP
ajst-19340	167	14	various	various	ADJ
ajst-19340	167	15	training	training	NOUN
ajst-19340	167	16	set	set	VERB
ajst-19340	167	17	size	size	NOUN
ajst-19340	167	18	conditions	condition	NOUN
ajst-19340	167	19	,	,	PUNCT
ajst-19340	167	20	offering	offer	VERB
ajst-19340	167	21	a	a	DET
ajst-19340	167	22	new	new	ADJ
ajst-19340	167	23	perspective	perspective	NOUN
ajst-19340	167	24	and	and	CCONJ
ajst-19340	167	25	solution	solution	NOUN
ajst-19340	167	26	for	for	ADP
ajst-19340	167	27	lowresource	lowresource	PROPN
ajst-19340	167	28	part	part	PROPN
ajst-19340	167	29	-	-	PUNCT
ajst-19340	167	30	of	of	ADP
ajst-19340	167	31	-	-	PUNCT
ajst-19340	167	32	speech	speech	NOUN
ajst-19340	167	33	tagging	tagging	NOUN
ajst-19340	167	34	tasks	task	NOUN
ajst-19340	167	35	.	.	PUNCT
ajst-19340	168	1	future	future	ADJ
ajst-19340	168	2	research	research	NOUN
ajst-19340	168	3	will	will	AUX
ajst-19340	168	4	focus	focus	VERB
ajst-19340	168	5	on	on	ADP
ajst-19340	168	6	exploring	explore	VERB
ajst-19340	168	7	soft	soft	ADJ
ajst-19340	168	8	prompts	prompt	NOUN
ajst-19340	168	9	to	to	PART
ajst-19340	168	10	more	more	ADV
ajst-19340	168	11	comprehensively	comprehensively	ADV
ajst-19340	168	12	evaluate	evaluate	VERB
ajst-19340	168	13	the	the	DET
ajst-19340	168	14	performance	performance	NOUN
ajst-19340	168	15	of	of	ADP
ajst-19340	168	16	the	the	DET
ajst-19340	168	17	hidden	hide	VERB
ajst-19340	168	18	markov	markov	NOUN
ajst-19340	168	19	model	model	NOUN
ajst-19340	168	20	integrated	integrate	VERB
ajst-19340	168	21	prompt	prompt	ADJ
ajst-19340	168	22	-	-	PUNCT
ajst-19340	168	23	tuning	tune	VERB
ajst-19340	168	24	model	model	NOUN
ajst-19340	168	25	in	in	ADP
ajst-19340	168	26	part	part	NOUN
ajst-19340	168	27	-	-	PUNCT
ajst-19340	168	28	of	of	ADP
ajst-19340	168	29	-	-	PUNCT
ajst-19340	168	30	speech	speech	NOUN
ajst-19340	168	31	tagging	tagging	NOUN
ajst-19340	168	32	,	,	PUNCT
ajst-19340	168	33	aiming	aim	VERB
ajst-19340	168	34	to	to	PART
ajst-19340	168	35	provide	provide	VERB
ajst-19340	168	36	a	a	DET
ajst-19340	168	37	more	more	ADV
ajst-19340	168	38	accurate	accurate	ADJ
ajst-19340	168	39	method	method	NOUN
ajst-19340	168	40	for	for	ADP
ajst-19340	168	41	part	part	NOUN
ajst-19340	168	42	-	-	PUNCT
ajst-19340	168	43	of	of	ADP
ajst-19340	168	44	-	-	PUNCT
ajst-19340	168	45	speech	speech	NOUN
ajst-19340	168	46	tagging	tagging	NOUN
ajst-19340	168	47	.	.	PUNCT
ajst-19340	169	1	references	reference	NOUN
ajst-19340	169	2	[	[	X
ajst-19340	169	3	1	1	NUM
ajst-19340	169	4	]	]	PUNCT
ajst-19340	169	5	.	.	PUNCT
ajst-19340	170	1	zheng	zheng	PROPN
ajst-19340	170	2	,	,	PUNCT
ajst-19340	170	3	hongxin	hongxin	PROPN
ajst-19340	170	4	.	.	PUNCT
ajst-19340	171	1	2016	2016	NUM
ajst-19340	171	2	.	.	PUNCT
ajst-19340	172	1	basic	basic	ADJ
ajst-19340	172	2	theories	theory	NOUN
ajst-19340	172	3	of	of	ADP
ajst-19340	172	4	traditional	traditional	ADJ
ajst-19340	172	5	chinese	chinese	ADJ
ajst-19340	172	6	medicine	medicine	NOUN
ajst-19340	172	7	.	.	PUNCT
ajst-19340	173	1	china	china	PROPN
ajst-19340	173	2	press	press	PROPN
ajst-19340	173	3	of	of	ADP
ajst-19340	173	4	traditional	traditional	ADJ
ajst-19340	173	5	chinese	chinese	ADJ
ajst-19340	173	6	medicine	medicine	NOUN
ajst-19340	173	7	.	.	PUNCT
ajst-19340	174	1	[	[	X
ajst-19340	174	2	2	2	NUM
ajst-19340	174	3	]	]	PUNCT
ajst-19340	174	4	.	.	PUNCT
ajst-19340	175	1	li	li	PROPN
ajst-19340	175	2	,	,	PUNCT
ajst-19340	175	3	candong	candong	PROPN
ajst-19340	175	4	.	.	PROPN
ajst-19340	175	5	2016	2016	NUM
ajst-19340	175	6	.	.	PUNCT
ajst-19340	176	1	diagnostics	diagnostic	NOUN
ajst-19340	176	2	of	of	ADP
ajst-19340	176	3	traditional	traditional	ADJ
ajst-19340	176	4	chinese	chinese	ADJ
ajst-19340	176	5	medicine	medicine	NOUN
ajst-19340	176	6	.	.	PUNCT
ajst-19340	177	1	china	china	PROPN
ajst-19340	177	2	press	press	PROPN
ajst-19340	177	3	of	of	ADP
ajst-19340	177	4	traditional	traditional	ADJ
ajst-19340	177	5	chinese	chinese	ADJ
ajst-19340	177	6	medicine	medicine	NOUN
ajst-19340	177	7	.	.	PUNCT
ajst-19340	178	1	[	[	X
ajst-19340	178	2	3	3	NUM
ajst-19340	178	3	]	]	PUNCT
ajst-19340	178	4	.	.	PUNCT
ajst-19340	179	1	brill	brill	PROPN
ajst-19340	179	2	e.	e.	PROPN
ajst-19340	179	3	transformation	transformation	PROPN
ajst-19340	179	4	-	-	PUNCT
ajst-19340	179	5	based	base	VERB
ajst-19340	179	6	error	error	NOUN
ajst-19340	179	7	-	-	PUNCT
ajst-19340	179	8	driven	drive	VERB
ajst-19340	179	9	learning	learning	NOUN
ajst-19340	179	10	and	and	CCONJ
ajst-19340	179	11	natural	natural	ADJ
ajst-19340	179	12	language	language	NOUN
ajst-19340	179	13	processing	processing	NOUN
ajst-19340	179	14	:	:	PUNCT
ajst-19340	179	15	a	a	DET
ajst-19340	179	16	case	case	NOUN
ajst-19340	179	17	study	study	NOUN
ajst-19340	179	18	in	in	ADP
ajst-19340	179	19	part	part	NOUN
ajst-19340	179	20	-	-	PUNCT
ajst-19340	179	21	of	of	ADP
ajst-19340	179	22	-	-	PUNCT
ajst-19340	179	23	speech	speech	NOUN
ajst-19340	179	24	tagging[j	tagging[j	NOUN
ajst-19340	179	25	]	]	PUNCT
ajst-19340	179	26	.	.	PUNCT
ajst-19340	180	1	computational	computational	ADJ
ajst-19340	180	2	linguistics	linguistic	NOUN
ajst-19340	180	3	,	,	PUNCT
ajst-19340	180	4	1995	1995	NUM
ajst-19340	180	5	,	,	PUNCT
ajst-19340	180	6	21(4	21(4	NUM
ajst-19340	180	7	):	):	PUNCT
ajst-19340	180	8	543	543	NUM
ajst-19340	180	9	-	-	SYM
ajst-19340	180	10	565	565	NUM
ajst-19340	180	11	.	.	PUNCT
ajst-19340	181	1	[	[	X
ajst-19340	181	2	4	4	NUM
ajst-19340	181	3	]	]	PUNCT
ajst-19340	181	4	.	.	PUNCT
ajst-19340	182	1	wang	wang	PROPN
ajst-19340	182	2	y	y	PROPN
ajst-19340	182	3	,	,	PUNCT
ajst-19340	182	4	jiang	jiang	PROPN
ajst-19340	182	5	w	w	PROPN
ajst-19340	182	6	,	,	PUNCT
ajst-19340	182	7	jiang	jiang	PROPN
ajst-19340	182	8	y	y	PROPN
ajst-19340	182	9	,	,	PUNCT
ajst-19340	182	10	et	et	PROPN
ajst-19340	182	11	al	al	PROPN
ajst-19340	182	12	.	.	PROPN
ajst-19340	183	1	on	on	ADP
ajst-19340	183	2	corpus	corpus	NOUN
ajst-19340	183	3	construction	construction	NOUN
ajst-19340	183	4	and	and	CCONJ
ajst-19340	183	5	joint	joint	ADJ
ajst-19340	183	6	modeling	modeling	NOUN
ajst-19340	183	7	for	for	ADP
ajst-19340	183	8	clinical	clinical	ADJ
ajst-19340	183	9	pulse	pulse	NOUN
ajst-19340	183	10	feeling	feeling	NOUN
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ajst-19340	183	13	information	information	NOUN
ajst-19340	183	14	extraction	extraction	NOUN
ajst-19340	183	15	and	and	CCONJ
ajst-19340	183	16	lexical	lexical	ADJ
ajst-19340	183	17	analysis	analysis	NOUN
ajst-19340	183	18	of	of	ADP
ajst-19340	183	19	traditional	traditional	ADJ
ajst-19340	183	20	chinese	chinese	ADJ
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ajst-19340	183	22	of	of	ADP
ajst-19340	183	23	the	the	DET
ajst-19340	183	24	22nd	22nd	ADJ
ajst-19340	183	25	chinese	chinese	PROPN
ajst-19340	183	26	national	national	ADJ
ajst-19340	183	27	conference	conference	NOUN
ajst-19340	183	28	on	on	ADP
ajst-19340	183	29	computational	computational	ADJ
ajst-19340	183	30	linguistics	linguistic	NOUN
ajst-19340	183	31	.	.	PUNCT
ajst-19340	184	1	2023	2023	NUM
ajst-19340	184	2	:	:	PUNCT
ajst-19340	184	3	352363	352363	NUM
ajst-19340	184	4	.	.	PUNCT
ajst-19340	185	1	[	[	X
ajst-19340	185	2	5	5	NUM
ajst-19340	185	3	]	]	PUNCT
ajst-19340	185	4	.	.	PUNCT
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ajst-19340	186	2	h	h	PROPN
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ajst-19340	186	10	et	et	PROPN
ajst-19340	186	11	al	al	PROPN
ajst-19340	186	12	.	.	PUNCT
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ajst-19340	187	2	4ever@	4ever@	PROPN
ajst-19340	187	3	evahan	evahan	PROPN
ajst-19340	187	4	2022	2022	NUM
ajst-19340	187	5	:	:	PUNCT
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ajst-19340	187	7	chinese	chinese	ADJ
ajst-19340	187	8	word	word	NOUN
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ajst-19340	187	14	-	-	PUNCT
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ajst-19340	187	21	and	and	CCONJ
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ajst-19340	187	24	of	of	ADP
ajst-19340	187	25	the	the	DET
ajst-19340	187	26	second	second	ADJ
ajst-19340	187	27	workshop	workshop	NOUN
ajst-19340	187	28	on	on	ADP
ajst-19340	187	29	language	language	NOUN
ajst-19340	187	30	technologies	technology	NOUN
ajst-19340	187	31	for	for	ADP
ajst-19340	187	32	historical	historical	ADJ
ajst-19340	187	33	and	and	CCONJ
ajst-19340	187	34	ancient	ancient	ADJ
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ajst-19340	188	2	:	:	PUNCT
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ajst-19340	188	4	-	-	SYM
ajst-19340	188	5	154	154	NUM
ajst-19340	188	6	.	.	PUNCT
ajst-19340	189	1	[	[	X
ajst-19340	189	2	6	6	NUM
ajst-19340	189	3	]	]	PUNCT
ajst-19340	189	4	.	.	PUNCT
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ajst-19340	190	10	-	-	PUNCT
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ajst-19340	190	12	-	-	PUNCT
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ajst-19340	190	19	approach[j	approach[j	PROPN
ajst-19340	190	20	]	]	X
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ajst-19340	191	7	-	-	PUNCT
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ajst-19340	191	12	,	,	PUNCT
ajst-19340	191	13	2023	2023	NUM
ajst-19340	191	14	,	,	PUNCT
ajst-19340	191	15	22(10	22(10	NUM
ajst-19340	191	16	):	):	PUNCT
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ajst-19340	191	18	-	-	SYM
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ajst-19340	192	1	[	[	X
ajst-19340	192	2	7	7	NUM
ajst-19340	192	3	]	]	PUNCT
ajst-19340	192	4	.	.	PUNCT
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ajst-19340	193	20	.	.	PUNCT
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ajst-19340	194	4	,	,	PUNCT
ajst-19340	194	5	2022	2022	NUM
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ajst-19340	195	1	[	[	X
ajst-19340	195	2	8	8	NUM
ajst-19340	195	3	]	]	PUNCT
ajst-19340	195	4	.	.	PUNCT
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ajst-19340	196	2	,	,	PUNCT
ajst-19340	196	3	deguang	deguang	PROPN
ajst-19340	196	4	,	,	PUNCT
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ajst-19340	196	6	,	,	PUNCT
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ajst-19340	197	10	.	.	PUNCT
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ajst-19340	198	7	,	,	PUNCT
ajst-19340	198	8	15(8	15(8	NOUN
ajst-19340	198	9	)	)	PUNCT
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ajst-19340	198	12	.	.	PUNCT
ajst-19340	199	1	[	[	X
ajst-19340	199	2	9	9	NUM
ajst-19340	199	3	]	]	PUNCT
ajst-19340	199	4	.	.	PUNCT
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ajst-19340	200	12	.	.	PUNCT
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ajst-19340	201	5	prompt	prompt	ADJ
ajst-19340	201	6	,	,	PUNCT
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ajst-19340	201	9	:	:	PUNCT
ajst-19340	201	10	a	a	DET
ajst-19340	201	11	systematic	systematic	ADJ
ajst-19340	201	12	survey	survey	NOUN
ajst-19340	201	13	of	of	ADP
ajst-19340	201	14	prompting	prompt	VERB
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ajst-19340	201	16	in	in	ADP
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ajst-19340	201	21	.	.	PUNCT
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ajst-19340	202	6	,	,	PUNCT
ajst-19340	202	7	55(9	55(9	NUM
ajst-19340	202	8	):	):	PUNCT
ajst-19340	202	9	1	1	NUM
ajst-19340	202	10	-	-	SYM
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ajst-19340	202	12	.	.	PUNCT
ajst-19340	203	1	[	[	X
ajst-19340	203	2	10	10	NUM
ajst-19340	203	3	]	]	PUNCT
ajst-19340	203	4	.	.	PUNCT
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ajst-19340	204	12	-	-	PUNCT
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ajst-19340	204	16	data	datum	NOUN
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ajst-19340	204	18	of	of	ADP
ajst-19340	204	19	the	the	DET
ajst-19340	204	20	second	second	ADJ
ajst-19340	204	21	workshop	workshop	NOUN
ajst-19340	204	22	on	on	ADP
ajst-19340	204	23	language	language	NOUN
ajst-19340	204	24	technologies	technology	NOUN
ajst-19340	204	25	for	for	ADP
ajst-19340	204	26	historical	historical	ADJ
ajst-19340	204	27	and	and	CCONJ
ajst-19340	204	28	ancient	ancient	ADJ
ajst-19340	204	29	languages	language	NOUN
ajst-19340	204	30	.	.	PUNCT
ajst-19340	205	1	2022	2022	NUM
ajst-19340	205	2	:	:	PUNCT
ajst-19340	205	3	146	146	NUM
ajst-19340	205	4	-	-	SYM
ajst-19340	205	5	149	149	NUM
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ajst-19340	206	1	[	[	X
ajst-19340	206	2	11	11	NUM
ajst-19340	206	3	]	]	PUNCT
ajst-19340	206	4	.	.	PUNCT
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ajst-19340	207	13	.	.	PUNCT
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ajst-19340	207	15	:	:	PUNCT
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ajst-19340	207	17	-	-	NOUN
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ajst-19340	207	25	understanding[j	understanding[j	NOUN
ajst-19340	207	26	]	]	PUNCT
ajst-19340	207	27	.	.	PUNCT
ajst-19340	208	1	arxiv	arxiv	PROPN
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ajst-19340	208	4	,	,	PUNCT
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ajst-19340	208	6	.	.	PUNCT
ajst-19340	209	1	[	[	X
ajst-19340	209	2	12	12	NUM
ajst-19340	209	3	]	]	PUNCT
ajst-19340	209	4	.	.	PUNCT
ajst-19340	210	1	wang	wang	PROPN
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ajst-19340	210	3	,	,	PUNCT
ajst-19340	210	4	li	li	PROPN
ajst-19340	210	5	k	k	PROPN
ajst-19340	210	6	,	,	PUNCT
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ajst-19340	210	9	,	,	PUNCT
ajst-19340	210	10	et	et	PROPN
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ajst-19340	211	25	.	.	PUNCT
ajst-19340	212	1	2022	2022	NUM
ajst-19340	212	2	:	:	PUNCT
ajst-19340	212	3	611	611	NUM
ajst-19340	212	4	-	-	SYM
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ajst-19340	212	6	.	.	PUNCT
ajst-19340	213	1	[	[	X
ajst-19340	213	2	13	13	NUM
ajst-19340	213	3	]	]	PUNCT
ajst-19340	213	4	.	.	PUNCT
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ajst-19340	214	18	tosequence	tosequence	NOUN
ajst-19340	214	19	pre	pre	NOUN
ajst-19340	214	20	-	-	NOUN
ajst-19340	214	21	training	training	NOUN
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ajst-19340	214	28	,	,	PUNCT
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ajst-19340	214	31	]	]	X
ajst-19340	214	32	.	.	PUNCT
ajst-19340	215	1	arxiv	arxiv	PROPN
ajst-19340	215	2	preprint	preprint	VERB
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ajst-19340	215	4	,	,	PUNCT
ajst-19340	215	5	2019	2019	NUM
ajst-19340	215	6	.	.	PUNCT