id	sid	tid	token	lemma	pos
ajst-19207	1	1	academic	academic	ADJ
ajst-19207	1	2	journal	journal	NOUN
ajst-19207	1	3	of	of	ADP
ajst-19207	1	4	science	science	NOUN
ajst-19207	1	5	and	and	CCONJ
ajst-19207	1	6	technology	technology	NOUN
ajst-19207	1	7	issn	issn	NOUN
ajst-19207	1	8	:	:	PUNCT
ajst-19207	1	9	2771	2771	NUM
ajst-19207	1	10	-	-	SYM
ajst-19207	1	11	3032	3032	NUM
ajst-19207	1	12	|	|	NOUN
ajst-19207	1	13	vol	vol	NOUN
ajst-19207	1	14	.	.	PROPN
ajst-19207	2	1	10	10	NUM
ajst-19207	2	2	,	,	PUNCT
ajst-19207	2	3	no	no	INTJ
ajst-19207	2	4	.	.	NOUN
ajst-19207	2	5	1	1	NUM
ajst-19207	2	6	,	,	PUNCT
ajst-19207	2	7	2024	2024	NUM
ajst-19207	2	8	305	305	NUM
ajst-19207	2	9	rumor	rumor	NOUN
ajst-19207	2	10	detection	detection	NOUN
ajst-19207	2	11	with	with	ADP
ajst-19207	2	12	a	a	DET
ajst-19207	2	13	novel	novel	ADJ
ajst-19207	2	14	graph	graph	NOUN
ajst-19207	2	15	neural	neural	ADJ
ajst-19207	2	16	network	network	NOUN
ajst-19207	2	17	approach	approach	NOUN
ajst-19207	2	18	tianrui	tianrui	PROPN
ajst-19207	2	19	liu1	liu1	PROPN
ajst-19207	2	20	,	,	PUNCT
ajst-19207	2	21	*	*	PROPN
ajst-19207	2	22	,	,	PUNCT
ajst-19207	2	23	qi	qi	PROPN
ajst-19207	2	24	cai2	cai2	PROPN
ajst-19207	2	25	,	,	PUNCT
ajst-19207	2	26	changxin	changxin	PROPN
ajst-19207	2	27	xu3	xu3	PROPN
ajst-19207	2	28	,	,	PUNCT
ajst-19207	2	29	bo	bo	PROPN
ajst-19207	2	30	hong4	hong4	PROPN
ajst-19207	2	31	,	,	PUNCT
ajst-19207	2	32	fanghao	fanghao	ADJ
ajst-19207	2	33	ni5	ni5	NOUN
ajst-19207	2	34	,	,	PUNCT
ajst-19207	2	35	yuxin	yuxin	PROPN
ajst-19207	2	36	qiao6	qiao6	PROPN
ajst-19207	2	37	,	,	PUNCT
ajst-19207	2	38	tsungwei	tsungwei	PROPN
ajst-19207	2	39	yang7	yang7	NOUN
ajst-19207	2	40	1	1	NUM
ajst-19207	2	41	electrical	electrical	ADJ
ajst-19207	2	42	and	and	CCONJ
ajst-19207	2	43	computer	computer	NOUN
ajst-19207	2	44	engineering	engineering	NOUN
ajst-19207	2	45	,	,	PUNCT
ajst-19207	2	46	university	university	PROPN
ajst-19207	2	47	of	of	ADP
ajst-19207	2	48	california	california	PROPN
ajst-19207	2	49	san	san	PROPN
ajst-19207	2	50	diego	diego	PROPN
ajst-19207	2	51	,	,	PUNCT
ajst-19207	2	52	la	la	PROPN
ajst-19207	2	53	jolla	jolla	PROPN
ajst-19207	2	54	,	,	PUNCT
ajst-19207	2	55	usa	usa	PROPN
ajst-19207	2	56	2	2	NUM
ajst-19207	2	57	computer	computer	NOUN
ajst-19207	2	58	science	science	NOUN
ajst-19207	2	59	and	and	CCONJ
ajst-19207	2	60	engineering	engineering	NOUN
ajst-19207	2	61	,	,	PUNCT
ajst-19207	2	62	university	university	NOUN
ajst-19207	2	63	of	of	ADP
ajst-19207	2	64	north	north	PROPN
ajst-19207	2	65	texas	texas	PROPN
ajst-19207	2	66	,	,	PUNCT
ajst-19207	2	67	denton	denton	PROPN
ajst-19207	2	68	,	,	PUNCT
ajst-19207	2	69	usa	usa	PROPN
ajst-19207	2	70	3	3	NUM
ajst-19207	2	71	computer	computer	NOUN
ajst-19207	2	72	information	information	NOUN
ajst-19207	2	73	technology	technology	NOUN
ajst-19207	2	74	,	,	PUNCT
ajst-19207	2	75	northern	northern	PROPN
ajst-19207	2	76	arizona	arizona	PROPN
ajst-19207	2	77	university	university	PROPN
ajst-19207	2	78	,	,	PUNCT
ajst-19207	2	79	flagstaff	flagstaff	PROPN
ajst-19207	2	80	,	,	PUNCT
ajst-19207	2	81	usa	usa	PROPN
ajst-19207	2	82	4	4	NUM
ajst-19207	2	83	computer	computer	NOUN
ajst-19207	2	84	information	information	NOUN
ajst-19207	2	85	technology	technology	NOUN
ajst-19207	2	86	,	,	PUNCT
ajst-19207	2	87	northern	northern	PROPN
ajst-19207	2	88	arizona	arizona	PROPN
ajst-19207	2	89	university	university	PROPN
ajst-19207	2	90	,	,	PUNCT
ajst-19207	2	91	flagstaff	flagstaff	PROPN
ajst-19207	2	92	,	,	PUNCT
ajst-19207	2	93	usa	usa	PROPN
ajst-19207	2	94	5	5	NUM
ajst-19207	2	95	data	datum	NOUN
ajst-19207	2	96	science	science	NOUN
ajst-19207	2	97	and	and	CCONJ
ajst-19207	2	98	artificial	artificial	ADJ
ajst-19207	2	99	intelligence	intelligence	NOUN
ajst-19207	2	100	,	,	PUNCT
ajst-19207	2	101	indian	indian	PROPN
ajst-19207	2	102	institute	institute	PROPN
ajst-19207	2	103	of	of	ADP
ajst-19207	2	104	technology	technology	PROPN
ajst-19207	2	105	guwahati	guwahati	PROPN
ajst-19207	2	106	,	,	PUNCT
ajst-19207	2	107	assam	assam	PROPN
ajst-19207	2	108	,	,	PUNCT
ajst-19207	2	109	india	india	PROPN
ajst-19207	2	110	6	6	NUM
ajst-19207	2	111	computer	computer	NOUN
ajst-19207	2	112	information	information	NOUN
ajst-19207	2	113	technology	technology	NOUN
ajst-19207	2	114	,	,	PUNCT
ajst-19207	2	115	northern	northern	PROPN
ajst-19207	2	116	arizona	arizona	PROPN
ajst-19207	2	117	university	university	PROPN
ajst-19207	2	118	,	,	PUNCT
ajst-19207	2	119	flagstaff	flagstaff	PROPN
ajst-19207	2	120	,	,	PUNCT
ajst-19207	2	121	usa	usa	PROPN
ajst-19207	2	122	7	7	NUM
ajst-19207	2	123	computer	computer	NOUN
ajst-19207	2	124	science	science	NOUN
ajst-19207	2	125	,	,	PUNCT
ajst-19207	2	126	tunghai	tunghai	PROPN
ajst-19207	2	127	university	university	PROPN
ajst-19207	2	128	,	,	PUNCT
ajst-19207	2	129	taichung	taichung	PROPN
ajst-19207	2	130	,	,	PUNCT
ajst-19207	2	131	taiwan	taiwan	PROPN
ajst-19207	2	132	*	*	PUNCT
ajst-19207	2	133	corresponding	correspond	VERB
ajst-19207	2	134	author	author	NOUN
ajst-19207	2	135	:	:	PUNCT
ajst-19207	2	136	tianrui	tianrui	PROPN
ajst-19207	2	137	liu	liu	PROPN
ajst-19207	2	138	(	(	PUNCT
ajst-19207	2	139	email	email	NOUN
ajst-19207	2	140	:	:	PUNCT
ajst-19207	2	141	tianrui.liu.ml@gmail.com	tianrui.liu.ml@gmail.com	X
ajst-19207	2	142	)	)	PUNCT
ajst-19207	3	1	abstract	abstract	NOUN
ajst-19207	3	2	:	:	PUNCT
ajst-19207	3	3	the	the	DET
ajst-19207	3	4	wide	wide	ADJ
ajst-19207	3	5	spread	spread	NOUN
ajst-19207	3	6	of	of	ADP
ajst-19207	3	7	rumors[3	rumors[3	NOUN
ajst-19207	3	8	]	]	PUNCT
ajst-19207	3	9	on	on	ADP
ajst-19207	3	10	social	social	ADJ
ajst-19207	3	11	media	medium	NOUN
ajst-19207	3	12	has	have	AUX
ajst-19207	3	13	caused	cause	VERB
ajst-19207	3	14	a	a	DET
ajst-19207	3	15	negative	negative	ADJ
ajst-19207	3	16	impact	impact	NOUN
ajst-19207	3	17	on	on	ADP
ajst-19207	3	18	people	people	NOUN
ajst-19207	3	19	's	's	PART
ajst-19207	3	20	daily	daily	ADJ
ajst-19207	3	21	life	life	NOUN
ajst-19207	3	22	,	,	PUNCT
ajst-19207	3	23	leading	lead	VERB
ajst-19207	3	24	to	to	ADP
ajst-19207	3	25	potential	potential	ADJ
ajst-19207	3	26	panic	panic	NOUN
ajst-19207	3	27	,	,	PUNCT
ajst-19207	3	28	fear	fear	NOUN
ajst-19207	3	29	and	and	CCONJ
ajst-19207	3	30	mental	mental	ADJ
ajst-19207	3	31	health	health	NOUN
ajst-19207	3	32	problems	problem	NOUN
ajst-19207	3	33	for	for	ADP
ajst-19207	3	34	the	the	DET
ajst-19207	3	35	public.[47	public.[47	NOUN
ajst-19207	3	36	]	]	X
ajst-19207	3	37	how	how	SCONJ
ajst-19207	3	38	to	to	PART
ajst-19207	3	39	debunk	debunk	VERB
ajst-19207	3	40	rumors	rumor	NOUN
ajst-19207	3	41	as	as	ADV
ajst-19207	3	42	early	early	ADV
ajst-19207	3	43	as	as	ADP
ajst-19207	3	44	possible	possible	ADJ
ajst-19207	3	45	remains	remain	VERB
ajst-19207	3	46	a	a	DET
ajst-19207	3	47	challenging	challenging	ADJ
ajst-19207	3	48	problem	problem	NOUN
ajst-19207	3	49	.	.	PUNCT
ajst-19207	4	1	existing	exist	VERB
ajst-19207	4	2	studies	study	NOUN
ajst-19207	4	3	mainly	mainly	ADV
ajst-19207	4	4	leverage	leverage	VERB
ajst-19207	4	5	information	information	NOUN
ajst-19207	4	6	propagation	propagation	NOUN
ajst-19207	4	7	structure	structure	NOUN
ajst-19207	4	8	to	to	PART
ajst-19207	4	9	detect	detect	VERB
ajst-19207	4	10	rumors[6	rumors[6	PRON
ajst-19207	4	11	]	]	X
ajst-19207	4	12	,	,	PUNCT
ajst-19207	4	13	while	while	SCONJ
ajst-19207	4	14	very	very	ADV
ajst-19207	4	15	few	few	ADJ
ajst-19207	4	16	works	work	NOUN
ajst-19207	4	17	focus	focus	VERB
ajst-19207	4	18	on	on	ADP
ajst-19207	4	19	correlation	correlation	NOUN
ajst-19207	4	20	among	among	ADP
ajst-19207	4	21	users	user	NOUN
ajst-19207	4	22	that	that	SCONJ
ajst-19207	4	23	they	they	PRON
ajst-19207	4	24	may	may	AUX
ajst-19207	4	25	coordinate	coordinate	VERB
ajst-19207	4	26	to	to	PART
ajst-19207	4	27	spread	spread	VERB
ajst-19207	4	28	rumors	rumor	NOUN
ajst-19207	4	29	in	in	ADP
ajst-19207	4	30	order	order	NOUN
ajst-19207	4	31	to	to	PART
ajst-19207	4	32	gain	gain	VERB
ajst-19207	4	33	a	a	DET
ajst-19207	4	34	large	large	ADJ
ajst-19207	4	35	popularity	popularity	NOUN
ajst-19207	4	36	.	.	PUNCT
ajst-19207	5	1	in	in	ADP
ajst-19207	5	2	this	this	DET
ajst-19207	5	3	paper	paper	NOUN
ajst-19207	5	4	,	,	PUNCT
ajst-19207	5	5	we	we	PRON
ajst-19207	5	6	propose	propose	VERB
ajst-19207	5	7	a	a	DET
ajst-19207	5	8	new	new	ADJ
ajst-19207	5	9	detection	detection	NOUN
ajst-19207	5	10	model	model	NOUN
ajst-19207	5	11	,	,	PUNCT
ajst-19207	5	12	that	that	PRON
ajst-19207	5	13	jointly	jointly	ADV
ajst-19207	5	14	learns	learn	VERB
ajst-19207	5	15	both	both	CCONJ
ajst-19207	5	16	the	the	DET
ajst-19207	5	17	representations	representation	NOUN
ajst-19207	5	18	of	of	ADP
ajst-19207	5	19	user	user	NOUN
ajst-19207	5	20	correlation	correlation	NOUN
ajst-19207	5	21	and	and	CCONJ
ajst-19207	5	22	information	information	NOUN
ajst-19207	5	23	propagation	propagation	NOUN
ajst-19207	5	24	to	to	PART
ajst-19207	5	25	detect	detect	VERB
ajst-19207	5	26	rumors	rumor	NOUN
ajst-19207	5	27	on	on	ADP
ajst-19207	5	28	social	social	ADJ
ajst-19207	5	29	media	medium	NOUN
ajst-19207	5	30	.	.	PUNCT
ajst-19207	6	1	specifically	specifically	ADV
ajst-19207	6	2	,	,	PUNCT
ajst-19207	6	3	we	we	PRON
ajst-19207	6	4	leverage	leverage	VERB
ajst-19207	6	5	graph	graph	NOUN
ajst-19207	6	6	neural	neural	ADJ
ajst-19207	6	7	networks	network	NOUN
ajst-19207	6	8	to	to	PART
ajst-19207	6	9	learn	learn	VERB
ajst-19207	6	10	the	the	DET
ajst-19207	6	11	representations	representation	NOUN
ajst-19207	6	12	of	of	ADP
ajst-19207	6	13	user	user	NOUN
ajst-19207	6	14	correlation	correlation	NOUN
ajst-19207	6	15	from	from	ADP
ajst-19207	6	16	a	a	DET
ajst-19207	6	17	bipartite	bipartite	NOUN
ajst-19207	6	18	graph[5	graph[5	NOUN
ajst-19207	6	19	]	]	PUNCT
ajst-19207	6	20	that	that	PRON
ajst-19207	6	21	describes	describe	VERB
ajst-19207	6	22	the	the	DET
ajst-19207	6	23	correlations	correlation	NOUN
ajst-19207	6	24	between	between	ADP
ajst-19207	6	25	users	user	NOUN
ajst-19207	6	26	and	and	CCONJ
ajst-19207	6	27	source	source	VERB
ajst-19207	6	28	tweets[12	tweets[12	PROPN
ajst-19207	6	29	]	]	PUNCT
ajst-19207	6	30	,	,	PUNCT
ajst-19207	6	31	and	and	CCONJ
ajst-19207	6	32	the	the	DET
ajst-19207	6	33	representations	representation	NOUN
ajst-19207	6	34	of	of	ADP
ajst-19207	6	35	information	information	NOUN
ajst-19207	6	36	propagation	propagation	NOUN
ajst-19207	6	37	with	with	ADP
ajst-19207	6	38	a	a	DET
ajst-19207	6	39	tree	tree	NOUN
ajst-19207	6	40	structure	structure	NOUN
ajst-19207	6	41	.	.	PUNCT
ajst-19207	7	1	then	then	ADV
ajst-19207	7	2	we	we	PRON
ajst-19207	7	3	combine	combine	VERB
ajst-19207	7	4	the	the	DET
ajst-19207	7	5	learned	learn	VERB
ajst-19207	7	6	representations	representation	NOUN
ajst-19207	7	7	from	from	ADP
ajst-19207	7	8	these	these	DET
ajst-19207	7	9	two	two	NUM
ajst-19207	7	10	modules	module	NOUN
ajst-19207	7	11	to	to	PART
ajst-19207	7	12	classify	classify	VERB
ajst-19207	7	13	the	the	DET
ajst-19207	7	14	rumors	rumor	NOUN
ajst-19207	7	15	.	.	PUNCT
ajst-19207	8	1	since	since	SCONJ
ajst-19207	8	2	malicious	malicious	ADJ
ajst-19207	8	3	users	user	NOUN
ajst-19207	8	4	intend	intend	VERB
ajst-19207	8	5	to	to	PART
ajst-19207	8	6	subvert	subvert	VERB
ajst-19207	8	7	our	our	PRON
ajst-19207	8	8	model	model	NOUN
ajst-19207	8	9	after	after	ADP
ajst-19207	8	10	deployment	deployment	NOUN
ajst-19207	8	11	,	,	PUNCT
ajst-19207	8	12	we	we	PRON
ajst-19207	8	13	further	far	ADV
ajst-19207	8	14	develop	develop	VERB
ajst-19207	8	15	a	a	DET
ajst-19207	8	16	greedy	greedy	ADJ
ajst-19207	8	17	attack	attack	NOUN
ajst-19207	8	18	scheme	scheme	NOUN
ajst-19207	8	19	to	to	PART
ajst-19207	8	20	analyze	analyze	VERB
ajst-19207	8	21	the	the	DET
ajst-19207	8	22	cost	cost	NOUN
ajst-19207	8	23	of	of	ADP
ajst-19207	8	24	three	three	NUM
ajst-19207	8	25	adversarial	adversarial	ADJ
ajst-19207	8	26	attacks	attack	NOUN
ajst-19207	8	27	:	:	PUNCT
ajst-19207	8	28	graph	graph	NOUN
ajst-19207	8	29	attack	attack	NOUN
ajst-19207	8	30	,	,	PUNCT
ajst-19207	8	31	comment	comment	NOUN
ajst-19207	8	32	attack	attack	NOUN
ajst-19207	8	33	and	and	CCONJ
ajst-19207	8	34	joint	joint	ADJ
ajst-19207	8	35	attack	attack	NOUN
ajst-19207	8	36	.	.	PUNCT
ajst-19207	9	1	evaluation	evaluation	NOUN
ajst-19207	9	2	results	result	NOUN
ajst-19207	9	3	on	on	ADP
ajst-19207	9	4	two	two	NUM
ajst-19207	9	5	public	public	ADJ
ajst-19207	9	6	datasets	dataset	NOUN
ajst-19207	9	7	illustrate	illustrate	VERB
ajst-19207	9	8	that	that	SCONJ
ajst-19207	9	9	the	the	DET
ajst-19207	9	10	proposed	propose	VERB
ajst-19207	9	11	model	model	NOUN
ajst-19207	9	12	outperforms	outperform	VERB
ajst-19207	9	13	the	the	DET
ajst-19207	9	14	state	state	NOUN
ajst-19207	9	15	-	-	PUNCT
ajst-19207	9	16	of	of	ADP
ajst-19207	9	17	-	-	PUNCT
ajst-19207	9	18	the	the	DET
ajst-19207	9	19	-	-	PUNCT
ajst-19207	9	20	art	art	NOUN
ajst-19207	9	21	rumor	rumor	NOUN
ajst-19207	9	22	detection	detection	NOUN
ajst-19207	9	23	models	model	NOUN
ajst-19207	9	24	.	.	PUNCT
ajst-19207	10	1	we	we	PRON
ajst-19207	10	2	also	also	ADV
ajst-19207	10	3	demonstrate	demonstrate	VERB
ajst-19207	10	4	our	our	PRON
ajst-19207	10	5	method	method	NOUN
ajst-19207	10	6	performs	perform	VERB
ajst-19207	10	7	well	well	ADV
ajst-19207	10	8	for	for	ADP
ajst-19207	10	9	early	early	ADJ
ajst-19207	10	10	rumor	rumor	NOUN
ajst-19207	10	11	detection.[8	detection.[8	NOUN
ajst-19207	10	12	]	]	PUNCT
ajst-19207	10	13	moreover	moreover	ADV
ajst-19207	10	14	,	,	PUNCT
ajst-19207	10	15	the	the	DET
ajst-19207	10	16	proposed	propose	VERB
ajst-19207	10	17	detection	detection	NOUN
ajst-19207	10	18	method	method	NOUN
ajst-19207	10	19	is	be	AUX
ajst-19207	10	20	more	more	ADV
ajst-19207	10	21	robust	robust	ADJ
ajst-19207	10	22	to	to	ADP
ajst-19207	10	23	adversarial	adversarial	ADJ
ajst-19207	10	24	attacks	attack	NOUN
ajst-19207	10	25	compared	compare	VERB
ajst-19207	10	26	to	to	ADP
ajst-19207	10	27	the	the	DET
ajst-19207	10	28	best	good	ADJ
ajst-19207	10	29	existing	exist	VERB
ajst-19207	10	30	method	method	NOUN
ajst-19207	10	31	.	.	PUNCT
ajst-19207	11	1	importantly	importantly	ADV
ajst-19207	11	2	,	,	PUNCT
ajst-19207	11	3	we	we	PRON
ajst-19207	11	4	show	show	VERB
ajst-19207	11	5	that	that	SCONJ
ajst-19207	11	6	it	it	PRON
ajst-19207	11	7	requires	require	VERB
ajst-19207	11	8	high	high	ADJ
ajst-19207	11	9	cost	cost	NOUN
ajst-19207	11	10	for	for	SCONJ
ajst-19207	11	11	attackers	attacker	NOUN
ajst-19207	11	12	to	to	PART
ajst-19207	11	13	subvert	subvert	VERB
ajst-19207	11	14	user	user	NOUN
ajst-19207	11	15	correlation	correlation	NOUN
ajst-19207	11	16	pattern	pattern	NOUN
ajst-19207	11	17	,	,	PUNCT
ajst-19207	11	18	demonstrating	demonstrate	VERB
ajst-19207	11	19	the	the	DET
ajst-19207	11	20	importance	importance	NOUN
ajst-19207	11	21	of	of	ADP
ajst-19207	11	22	considering	consider	VERB
ajst-19207	11	23	user	user	NOUN
ajst-19207	11	24	correlation	correlation	NOUN
ajst-19207	11	25	for	for	ADP
ajst-19207	11	26	rumor	rumor	NOUN
ajst-19207	11	27	detection	detection	NOUN
ajst-19207	11	28	.	.	PUNCT
ajst-19207	12	1	keywords	keyword	NOUN
ajst-19207	12	2	:	:	PUNCT
ajst-19207	12	3	rumor	rumor	NOUN
ajst-19207	12	4	detection	detection	NOUN
ajst-19207	12	5	,	,	PUNCT
ajst-19207	12	6	natural	natural	ADJ
ajst-19207	12	7	language	language	NOUN
ajst-19207	12	8	processing	processing	NOUN
ajst-19207	12	9	,	,	PUNCT
ajst-19207	12	10	graph	graph	NOUN
ajst-19207	12	11	neural	neural	ADJ
ajst-19207	12	12	networks	network	NOUN
ajst-19207	12	13	.	.	PUNCT
ajst-19207	13	1	1	1	X
ajst-19207	13	2	.	.	X
ajst-19207	13	3	introduction	introduction	NOUN
ajst-19207	13	4	this	this	DET
ajst-19207	13	5	paper	paper	NOUN
ajst-19207	13	6	proposes	propose	VERB
ajst-19207	13	7	a	a	DET
ajst-19207	13	8	novel	novel	ADJ
ajst-19207	13	9	rumor	rumor	NOUN
ajst-19207	13	10	detection	detection	NOUN
ajst-19207	13	11	model	model	NOUN
ajst-19207	13	12	,	,	PUNCT
ajst-19207	13	13	which	which	PRON
ajst-19207	13	14	jointly	jointly	ADV
ajst-19207	13	15	learns	learn	VERB
ajst-19207	13	16	the	the	DET
ajst-19207	13	17	representations	representation	NOUN
ajst-19207	13	18	of	of	ADP
ajst-19207	13	19	user	user	NOUN
ajst-19207	13	20	correlation	correlation	NOUN
ajst-19207	13	21	and	and	CCONJ
ajst-19207	13	22	information	information	NOUN
ajst-19207	13	23	propagation	propagation	NOUN
ajst-19207	13	24	to	to	PART
ajst-19207	13	25	detect	detect	VERB
ajst-19207	13	26	rumors	rumor	NOUN
ajst-19207	13	27	on	on	ADP
ajst-19207	13	28	social	social	ADJ
ajst-19207	13	29	media	medium	NOUN
ajst-19207	13	30	.	.	PUNCT
ajst-19207	14	1	nowadays	nowadays	ADV
ajst-19207	14	2	,	,	PUNCT
ajst-19207	14	3	rumors	rumor	NOUN
ajst-19207	14	4	are	be	AUX
ajst-19207	14	5	like	like	ADP
ajst-19207	14	6	social	social	ADJ
ajst-19207	14	7	virus	virus	NOUN
ajst-19207	14	8	that	that	PRON
ajst-19207	14	9	spread	spread	VERB
ajst-19207	14	10	fast	fast	ADV
ajst-19207	14	11	,	,	PUNCT
ajst-19207	14	12	deep	deep	ADJ
ajst-19207	14	13	and	and	CCONJ
ajst-19207	14	14	broadly	broadly	ADV
ajst-19207	14	15	across	across	ADP
ajst-19207	14	16	social	social	ADJ
ajst-19207	14	17	media	medium	NOUN
ajst-19207	14	18	,	,	PUNCT
ajst-19207	14	19	such	such	ADJ
ajst-19207	14	20	as	as	ADP
ajst-19207	14	21	twitter	twitter	NOUN
ajst-19207	14	22	and	and	CCONJ
ajst-19207	14	23	facebook	facebook	NOUN
ajst-19207	14	24	,	,	PUNCT
ajst-19207	14	25	which	which	PRON
ajst-19207	14	26	has	have	AUX
ajst-19207	14	27	caused	cause	VERB
ajst-19207	14	28	potential	potential	ADJ
ajst-19207	14	29	threat	threat	NOUN
ajst-19207	14	30	and	and	CCONJ
ajst-19207	14	31	panic	panic	NOUN
ajst-19207	14	32	to	to	ADP
ajst-19207	14	33	people	people	NOUN
ajst-19207	14	34	's	's	PART
ajst-19207	14	35	daily	daily	ADJ
ajst-19207	14	36	life	life	NOUN
ajst-19207	14	37	.	.	PUNCT
ajst-19207	15	1	for	for	ADP
ajst-19207	15	2	example	example	NOUN
ajst-19207	15	3	,	,	PUNCT
ajst-19207	15	4	a	a	DET
ajst-19207	15	5	large	large	ADJ
ajst-19207	15	6	number	number	NOUN
ajst-19207	15	7	of	of	ADP
ajst-19207	15	8	rumors	rumor	NOUN
ajst-19207	15	9	about	about	ADP
ajst-19207	15	10	covid-19	covid-19	PROPN
ajst-19207	15	11	pandemic	pandemic	ADJ
ajst-19207	15	12	make	make	VERB
ajst-19207	15	13	a	a	DET
ajst-19207	15	14	ton	ton	NOUN
ajst-19207	15	15	of	of	ADP
ajst-19207	15	16	people	people	NOUN
ajst-19207	15	17	feel	feel	VERB
ajst-19207	15	18	uneasy	uneasy	ADJ
ajst-19207	15	19	and	and	CCONJ
ajst-19207	15	20	scared	scared	ADJ
ajst-19207	15	21	in	in	ADP
ajst-19207	15	22	the	the	DET
ajst-19207	15	23	year	year	NOUN
ajst-19207	15	24	of	of	ADP
ajst-19207	15	25	2020	2020	NUM
ajst-19207	15	26	.	.	PUNCT
ajst-19207	16	1	hence	hence	ADV
ajst-19207	16	2	,	,	PUNCT
ajst-19207	16	3	how	how	SCONJ
ajst-19207	16	4	to	to	PART
ajst-19207	16	5	effectively	effectively	ADV
ajst-19207	16	6	detect	detect	VERB
ajst-19207	16	7	rumors[2	rumors[2	NOUN
ajst-19207	16	8	]	]	PUNCT
ajst-19207	16	9	and	and	CCONJ
ajst-19207	16	10	prevent	prevent	VERB
ajst-19207	16	11	them	they	PRON
ajst-19207	16	12	from	from	ADP
ajst-19207	16	13	diffusion	diffusion	NOUN
ajst-19207	16	14	as	as	ADV
ajst-19207	16	15	early	early	ADV
ajst-19207	16	16	as	as	ADP
ajst-19207	16	17	possible	possible	ADJ
ajst-19207	16	18	has	have	AUX
ajst-19207	16	19	attracted	attract	VERB
ajst-19207	16	20	a	a	DET
ajst-19207	16	21	lot	lot	NOUN
ajst-19207	16	22	of	of	ADP
ajst-19207	16	23	attention	attention	NOUN
ajst-19207	16	24	from	from	ADP
ajst-19207	16	25	both	both	CCONJ
ajst-19207	16	26	industry	industry	NOUN
ajst-19207	16	27	and	and	CCONJ
ajst-19207	16	28	academia	academia	NOUN
ajst-19207	16	29	in	in	ADP
ajst-19207	16	30	recent	recent	ADJ
ajst-19207	16	31	years	year	NOUN
ajst-19207	16	32	.	.	PUNCT
ajst-19207	17	1	the	the	DET
ajst-19207	17	2	early	early	ADJ
ajst-19207	17	3	works	work	NOUN
ajst-19207	17	4	mainly	mainly	ADV
ajst-19207	17	5	adopt	adopt	VERB
ajst-19207	17	6	traditional	traditional	ADJ
ajst-19207	17	7	machine	machine	NOUN
ajst-19207	17	8	learning	learn	VERB
ajst-19207	17	9	methods[59	methods[59	PROPN
ajst-19207	17	10	]	]	PUNCT
ajst-19207	17	11	based	base	VERB
ajst-19207	17	12	on	on	ADP
ajst-19207	17	13	handcrafted	handcrafted	ADJ
ajst-19207	17	14	features	feature	NOUN
ajst-19207	17	15	,	,	PUNCT
ajst-19207	17	16	such	such	ADJ
ajst-19207	17	17	as	as	ADP
ajst-19207	17	18	user	user	NOUN
ajst-19207	17	19	profile	profile	NOUN
ajst-19207	17	20	and	and	CCONJ
ajst-19207	17	21	text	text	NOUN
ajst-19207	17	22	contents	content	NOUN
ajst-19207	17	23	,	,	PUNCT
ajst-19207	17	24	to	to	PART
ajst-19207	17	25	detect	detect	VERB
ajst-19207	17	26	rumors	rumor	NOUN
ajst-19207	17	27	online	online	ADV
ajst-19207	17	28	.	.	PUNCT
ajst-19207	18	1	however	however	ADV
ajst-19207	18	2	,	,	PUNCT
ajst-19207	18	3	the	the	DET
ajst-19207	18	4	traditional	traditional	ADJ
ajst-19207	18	5	approaches	approach	NOUN
ajst-19207	18	6	,	,	PUNCT
ajst-19207	18	7	such	such	ADJ
ajst-19207	18	8	as	as	ADP
ajst-19207	18	9	svm	svm	ADJ
ajst-19207	18	10	,	,	PUNCT
ajst-19207	18	11	decision	decision	NOUN
ajst-19207	18	12	tree	tree	NOUN
ajst-19207	18	13	and	and	CCONJ
ajst-19207	18	14	random	random	ADJ
ajst-19207	18	15	forest	forest	NOUN
ajst-19207	18	16	,	,	PUNCT
ajst-19207	18	17	heavily	heavily	ADV
ajst-19207	18	18	depend	depend	VERB
ajst-19207	18	19	on	on	ADP
ajst-19207	18	20	feature	feature	NOUN
ajst-19207	18	21	engineering[53	engineering[53	NOUN
ajst-19207	18	22	]	]	PUNCT
ajst-19207	18	23	,	,	PUNCT
ajst-19207	18	24	which	which	PRON
ajst-19207	18	25	is	be	AUX
ajst-19207	18	26	timeconsuming	timeconsuming	ADJ
ajst-19207	18	27	and	and	CCONJ
ajst-19207	18	28	can	can	AUX
ajst-19207	18	29	be	be	AUX
ajst-19207	18	30	easily	easily	ADV
ajst-19207	18	31	manipulated	manipulate	VERB
ajst-19207	18	32	by	by	ADP
ajst-19207	18	33	malicious	malicious	ADJ
ajst-19207	18	34	users	user	NOUN
ajst-19207	18	35	.	.	PUNCT
ajst-19207	19	1	recent	recent	ADJ
ajst-19207	19	2	studies	study	NOUN
ajst-19207	19	3	developed	develop	VERB
ajst-19207	19	4	deep	deep	ADJ
ajst-19207	19	5	learning	learning	NOUN
ajst-19207	19	6	models	model	NOUN
ajst-19207	19	7	,	,	PUNCT
ajst-19207	19	8	such	such	ADJ
ajst-19207	19	9	as	as	ADP
ajst-19207	19	10	bidirectional	bidirectional	NOUN
ajst-19207	19	11	transformers(bert)[10](which	transformers(bert)[10](which	PRON
ajst-19207	19	12	are	be	AUX
ajst-19207	19	13	widely	widely	ADV
ajst-19207	19	14	using	use	VERB
ajst-19207	19	15	in	in	ADP
ajst-19207	19	16	review	review	NOUN
ajst-19207	19	17	tasks[13	tasks[13	X
ajst-19207	19	18	]	]	X
ajst-19207	19	19	)	)	PUNCT
ajst-19207	19	20	,	,	PUNCT
ajst-19207	19	21	recurrent	recurrent	ADJ
ajst-19207	19	22	neural	neural	ADJ
ajst-19207	19	23	network(rnn),[27	network(rnn),[27	PROPN
ajst-19207	19	24	]	]	X
ajst-19207	19	25	recursive	recursive	ADJ
ajst-19207	19	26	neural	neural	ADJ
ajst-19207	19	27	networks	network	NOUN
ajst-19207	19	28	(	(	PUNCT
ajst-19207	19	29	rvnn)[39	rvnn)[39	NOUN
ajst-19207	19	30	]	]	PUNCT
ajst-19207	19	31	,	,	PUNCT
ajst-19207	19	32	long	long	ADJ
ajst-19207	19	33	-	-	PUNCT
ajst-19207	19	34	short	short	ADJ
ajst-19207	19	35	term	term	NOUN
ajst-19207	19	36	memory	memory	NOUN
ajst-19207	19	37	(	(	PUNCT
ajst-19207	19	38	lstm	lstm	NOUN
ajst-19207	19	39	)	)	PUNCT
ajst-19207	19	40	,	,	PUNCT
ajst-19207	19	41	generative	generative	ADJ
ajst-19207	19	42	adversarial	adversarial	ADJ
ajst-19207	19	43	network	network	NOUN
ajst-19207	19	44	(	(	PUNCT
ajst-19207	19	45	gan)[16,56	gan)[16,56	PROPN
ajst-19207	19	46	]	]	X
ajst-19207	19	47	,	,	PUNCT
ajst-19207	19	48	transformer[7,20	transformer[7,20	PROPN
ajst-19207	19	49	]	]	PUNCT
ajst-19207	19	50	and	and	CCONJ
ajst-19207	19	51	convolutional	convolutional	ADJ
ajst-19207	19	52	neural	neural	ADJ
ajst-19207	19	53	networks	network	NOUN
ajst-19207	19	54	(	(	PUNCT
ajst-19207	19	55	cnn)[11,17	cnn)[11,17	PROPN
ajst-19207	19	56	]	]	PUNCT
ajst-19207	19	57	,	,	PUNCT
ajst-19207	19	58	to	to	PART
ajst-19207	19	59	learn	learn	VERB
ajst-19207	19	60	sequential	sequential	ADJ
ajst-19207	19	61	features	feature	NOUN
ajst-19207	19	62	from	from	ADP
ajst-19207	19	63	information	information	NOUN
ajst-19207	19	64	propagation	propagation	NOUN
ajst-19207	19	65	patterns	pattern	NOUN
ajst-19207	19	66	over	over	ADP
ajst-19207	19	67	time.[1	time.[1	ADP
ajst-19207	19	68	]	]	PUNCT
ajst-19207	19	69	these	these	DET
ajst-19207	19	70	models	model	NOUN
ajst-19207	19	71	also	also	ADV
ajst-19207	19	72	have	have	VERB
ajst-19207	19	73	widespread	widespread	ADJ
ajst-19207	19	74	applications	application	NOUN
ajst-19207	19	75	in	in	ADP
ajst-19207	19	76	other	other	ADJ
ajst-19207	19	77	fields	field	NOUN
ajst-19207	19	78	,	,	PUNCT
ajst-19207	19	79	such	such	ADJ
ajst-19207	19	80	as	as	ADP
ajst-19207	19	81	data	datum	NOUN
ajst-19207	19	82	security	security	NOUN
ajst-19207	19	83	[	[	X
ajst-19207	19	84	21,22	21,22	NOUN
ajst-19207	19	85	]	]	X
ajst-19207	19	86	,	,	PUNCT
ajst-19207	19	87	vision	vision	NOUN
ajst-19207	19	88	learning	learn	VERB
ajst-19207	19	89	[	[	X
ajst-19207	19	90	18,52	18,52	NUM
ajst-19207	19	91	]	]	X
ajst-19207	19	92	,	,	PUNCT
ajst-19207	19	93	material	material	NOUN
ajst-19207	19	94	analysis	analysis	NOUN
ajst-19207	19	95	[	[	X
ajst-19207	19	96	15,51	15,51	NOUN
ajst-19207	19	97	]	]	PUNCT
ajst-19207	19	98	,	,	PUNCT
ajst-19207	19	99	compiling	compile	VERB
ajst-19207	19	100	[	[	X
ajst-19207	19	101	33	33	NUM
ajst-19207	19	102	]	]	PUNCT
ajst-19207	19	103	and	and	CCONJ
ajst-19207	19	104	hardware	hardware	NOUN
ajst-19207	19	105	designing[34	designing[34	PROPN
ajst-19207	19	106	]	]	PUNCT
ajst-19207	19	107	,	,	PUNCT
ajst-19207	19	108	e	e	NOUN
ajst-19207	19	109	-	-	NOUN
ajst-19207	19	110	commerce[37	commerce[37	X
ajst-19207	19	111	]	]	PUNCT
ajst-19207	19	112	,	,	PUNCT
ajst-19207	19	113	image	image	NOUN
ajst-19207	19	114	segmentation[43	segmentation[43	NOUN
ajst-19207	19	115	]	]	PUNCT
ajst-19207	19	116	,	,	PUNCT
ajst-19207	19	117	traffic	traffic	NOUN
ajst-19207	19	118	controlling	control	VERB
ajst-19207	19	119	[	[	X
ajst-19207	19	120	38	38	NUM
ajst-19207	19	121	]	]	PUNCT
ajst-19207	19	122	,	,	PUNCT
ajst-19207	19	123	communication	communication	NOUN
ajst-19207	20	1	[	[	X
ajst-19207	20	2	28,32	28,32	X
ajst-19207	20	3	]	]	X
ajst-19207	20	4	and	and	CCONJ
ajst-19207	20	5	aerial	aerial	ADJ
ajst-19207	20	6	search	search	NOUN
ajst-19207	21	1	[	[	X
ajst-19207	21	2	30	30	NUM
ajst-19207	21	3	]	]	PUNCT
ajst-19207	21	4	.	.	PUNCT
ajst-19207	22	1	these	these	DET
ajst-19207	22	2	methods	method	NOUN
ajst-19207	22	3	,	,	PUNCT
ajst-19207	22	4	however	however	ADV
ajst-19207	22	5	,	,	PUNCT
ajst-19207	22	6	only	only	ADV
ajst-19207	22	7	learn	learn	VERB
ajst-19207	22	8	the	the	DET
ajst-19207	22	9	correlations	correlation	NOUN
ajst-19207	22	10	from	from	ADP
ajst-19207	22	11	local	local	ADJ
ajst-19207	22	12	neighbors	neighbor	NOUN
ajst-19207	22	13	in	in	ADP
ajst-19207	22	14	the	the	DET
ajst-19207	22	15	structure	structure	NOUN
ajst-19207	22	16	of	of	ADP
ajst-19207	22	17	information	information	NOUN
ajst-19207	22	18	propagation	propagation	NOUN
ajst-19207	22	19	while	while	SCONJ
ajst-19207	22	20	ignore	ignore	VERB
ajst-19207	22	21	the	the	DET
ajst-19207	22	22	global	global	ADJ
ajst-19207	22	23	structures	structure	NOUN
ajst-19207	22	24	of	of	ADP
ajst-19207	22	25	rumor	rumor	NOUN
ajst-19207	22	26	dispersion.[32	dispersion.[32	NOUN
ajst-19207	22	27	]	]	PUNCT
ajst-19207	22	28	in	in	ADP
ajst-19207	22	29	order	order	NOUN
ajst-19207	22	30	to	to	PART
ajst-19207	22	31	better	well	ADV
ajst-19207	22	32	learn	learn	VERB
ajst-19207	22	33	the	the	DET
ajst-19207	22	34	representations	representation	NOUN
ajst-19207	22	35	of	of	ADP
ajst-19207	22	36	misinformation	misinformation	NOUN
ajst-19207	22	37	propagation	propagation	NOUN
ajst-19207	22	38	,	,	PUNCT
ajst-19207	22	39	researchers	researcher	NOUN
ajst-19207	22	40	recently	recently	ADV
ajst-19207	22	41	developed	develop	VERB
ajst-19207	22	42	a	a	DET
ajst-19207	22	43	graph	graph	NOUN
ajst-19207	22	44	convolutional	convolutional	ADJ
ajst-19207	22	45	neural	neural	ADJ
ajst-19207	22	46	networks	network	NOUN
ajst-19207	22	47	(	(	PUNCT
ajst-19207	22	48	gcn)[40	gcn)[40	PROPN
ajst-19207	22	49	]	]	X
ajst-19207	22	50	based	base	VERB
ajst-19207	22	51	detection	detection	NOUN
ajst-19207	22	52	model	model	NOUN
ajst-19207	22	53	,	,	PUNCT
ajst-19207	22	54	bigcn	bigcn	PROPN
ajst-19207	22	55	,	,	PUNCT
ajst-19207	22	56	that	that	PRON
ajst-19207	22	57	combines	combine	VERB
ajst-19207	22	58	top	top	ADJ
ajst-19207	22	59	-	-	PUNCT
ajst-19207	22	60	down	down	NOUN
ajst-19207	22	61	with	with	ADP
ajst-19207	22	62	bottom	bottom	ADJ
ajst-19207	22	63	-	-	PUNCT
ajst-19207	22	64	up	up	ADP
ajst-19207	22	65	tree	tree	NOUN
ajst-19207	22	66	propagation	propagation	NOUN
ajst-19207	22	67	structure	structure	NOUN
ajst-19207	22	68	to	to	PART
ajst-19207	22	69	deal	deal	VERB
ajst-19207	22	70	with	with	ADP
ajst-19207	22	71	the	the	DET
ajst-19207	22	72	propagation	propagation	NOUN
ajst-19207	22	73	and	and	CCONJ
ajst-19207	22	74	dispersion	dispersion	NOUN
ajst-19207	22	75	of	of	ADP
ajst-19207	22	76	rumors	rumor	NOUN
ajst-19207	22	77	.	.	PUNCT
ajst-19207	23	1	while	while	SCONJ
ajst-19207	23	2	bigcn	bigcn	PROPN
ajst-19207	23	3	improves	improve	VERB
ajst-19207	23	4	the	the	DET
ajst-19207	23	5	detection	detection	NOUN
ajst-19207	23	6	accuracy	accuracy	NOUN
ajst-19207	23	7	,	,	PUNCT
ajst-19207	23	8	it	it	PRON
ajst-19207	23	9	does	do	AUX
ajst-19207	23	10	not	not	PART
ajst-19207	23	11	take	take	VERB
ajst-19207	23	12	user	user	NOUN
ajst-19207	23	13	behaviors	behavior	NOUN
ajst-19207	23	14	of	of	ADP
ajst-19207	23	15	misinformation	misinformation	NOUN
ajst-19207	23	16	campaigns	campaign	NOUN
ajst-19207	23	17	into	into	ADP
ajst-19207	23	18	account	account	NOUN
ajst-19207	23	19	.	.	PUNCT
ajst-19207	24	1	in	in	ADP
ajst-19207	24	2	practice	practice	NOUN
ajst-19207	24	3	,	,	PUNCT
ajst-19207	24	4	some	some	DET
ajst-19207	24	5	malicious	malicious	ADJ
ajst-19207	24	6	users	user	NOUN
ajst-19207	24	7	coordinate	coordinate	VERB
ajst-19207	24	8	to	to	PART
ajst-19207	24	9	report	report	VERB
ajst-19207	24	10	some	some	DET
ajst-19207	24	11	same	same	ADJ
ajst-19207	24	12	claims	claim	NOUN
ajst-19207	24	13	together	together	ADV
ajst-19207	24	14	in	in	ADP
ajst-19207	24	15	order	order	NOUN
ajst-19207	24	16	to	to	PART
ajst-19207	24	17	make	make	VERB
ajst-19207	24	18	rumors	rumor	NOUN
ajst-19207	24	19	spread	spread	VERB
ajst-19207	24	20	faster	fast	ADV
ajst-19207	24	21	and	and	CCONJ
ajst-19207	24	22	more	more	ADV
ajst-19207	24	23	broadly	broadly	ADV
ajst-19207	24	24	within	within	ADP
ajst-19207	24	25	a	a	DET
ajst-19207	24	26	short	short	ADJ
ajst-19207	24	27	time	time	NOUN
ajst-19207	24	28	across	across	ADP
ajst-19207	24	29	social	social	ADJ
ajst-19207	24	30	media	medium	NOUN
ajst-19207	24	31	.	.	PUNCT
ajst-19207	25	1	this	this	DET
ajst-19207	25	2	global	global	ADJ
ajst-19207	25	3	user	user	NOUN
ajst-19207	25	4	dependency	dependency	NOUN
ajst-19207	25	5	relationship	relationship	NOUN
ajst-19207	25	6	is	be	AUX
ajst-19207	25	7	helpful	helpful	ADJ
ajst-19207	25	8	to	to	PART
ajst-19207	25	9	find	find	VERB
ajst-19207	25	10	the	the	DET
ajst-19207	25	11	correlations	correlation	NOUN
ajst-19207	25	12	among	among	ADP
ajst-19207	25	13	different	different	ADJ
ajst-19207	25	14	users	user	NOUN
ajst-19207	25	15	and	and	CCONJ
ajst-19207	25	16	source	source	NOUN
ajst-19207	25	17	tweets	tweet	NOUN
ajst-19207	25	18	.	.	PUNCT
ajst-19207	26	1	it	it	PRON
ajst-19207	26	2	thus	thus	ADV
ajst-19207	26	3	can	can	AUX
ajst-19207	26	4	improve	improve	VERB
ajst-19207	26	5	the	the	DET
ajst-19207	26	6	detection	detection	NOUN
ajst-19207	26	7	accuracy	accuracy	NOUN
ajst-19207	26	8	of	of	ADP
ajst-19207	26	9	the	the	DET
ajst-19207	26	10	coordinated	coordinate	VERB
ajst-19207	26	11	misinformation	misinformation	NOUN
ajst-19207	26	12	campaigns.[14	campaigns.[14	PROPN
ajst-19207	26	13	]	]	PUNCT
ajst-19207	26	14	inspired	inspire	VERB
ajst-19207	26	15	by	by	ADP
ajst-19207	26	16	this	this	DET
ajst-19207	26	17	insight	insight	NOUN
ajst-19207	26	18	,	,	PUNCT
ajst-19207	26	19	we	we	PRON
ajst-19207	26	20	propose	propose	VERB
ajst-19207	26	21	a	a	DET
ajst-19207	26	22	joint	joint	ADJ
ajst-19207	26	23	detection	detection	NOUN
ajst-19207	26	24	model	model	NOUN
ajst-19207	26	25	,	,	PUNCT
ajst-19207	26	26	called	call	VERB
ajst-19207	26	27	model	model	NOUN
ajst-19207	26	28	,	,	PUNCT
ajst-19207	26	29	which	which	PRON
ajst-19207	26	30	encodes	encode	VERB
ajst-19207	26	31	both	both	DET
ajst-19207	26	32	user	user	NOUN
ajst-19207	26	33	correlation	correlation	NOUN
ajst-19207	26	34	pattern	pattern	NOUN
ajst-19207	26	35	and	and	CCONJ
ajst-19207	26	36	information	information	NOUN
ajst-19207	26	37	propagation	propagation	NOUN
ajst-19207	26	38	pattern	pattern	NOUN
ajst-19207	26	39	to	to	PART
ajst-19207	26	40	improve	improve	VERB
ajst-19207	26	41	the	the	DET
ajst-19207	26	42	accuracy	accuracy	NOUN
ajst-19207	26	43	of	of	ADP
ajst-19207	26	44	rumor	rumor	NOUN
ajst-19207	26	45	detection	detection	NOUN
ajst-19207	26	46	.	.	PUNCT
ajst-19207	27	1	the	the	DET
ajst-19207	27	2	proposed	propose	VERB
ajst-19207	27	3	method	method	NOUN
ajst-19207	27	4	learns	learn	VERB
ajst-19207	27	5	the	the	DET
ajst-19207	27	6	representations	representation	NOUN
ajst-19207	27	7	from	from	ADP
ajst-19207	27	8	a	a	DET
ajst-19207	27	9	user	user	NOUN
ajst-19207	27	10	-	-	PUNCT
ajst-19207	27	11	tweet	tweet	NOUN
ajst-19207	27	12	bipartite	bipartite	NOUN
ajst-19207	27	13	graph	graph	NOUN
ajst-19207	27	14	and	and	CCONJ
ajst-19207	27	15	from	from	ADP
ajst-19207	27	16	a	a	DET
ajst-19207	27	17	tree	tree	NOUN
ajst-19207	27	18	structure	structure	NOUN
ajst-19207	27	19	of	of	ADP
ajst-19207	27	20	information	information	NOUN
ajst-19207	27	21	diffusion	diffusion	NOUN
ajst-19207	27	22	,	,	PUNCT
ajst-19207	27	23	as	as	SCONJ
ajst-19207	27	24	shown	show	VERB
ajst-19207	27	25	in	in	ADP
ajst-19207	27	26	fig	fig	NOUN
ajst-19207	27	27	.	.	PUNCT
ajst-19207	28	1	the	the	DET
ajst-19207	28	2	user	user	NOUN
ajst-19207	28	3	-	-	PUNCT
ajst-19207	28	4	tweet	tweet	NOUN
ajst-19207	28	5	bipartite	bipartite	NOUN
ajst-19207	28	6	graph	graph	NOUN
ajst-19207	28	7	,	,	PUNCT
ajst-19207	28	8	consisting	consist	VERB
ajst-19207	28	9	of	of	ADP
ajst-19207	28	10	users	user	NOUN
ajst-19207	28	11	and	and	CCONJ
ajst-19207	28	12	source	source	VERB
ajst-19207	28	13	306	306	NUM
ajst-19207	28	14	tweets	tweet	NOUN
ajst-19207	28	15	,	,	PUNCT
ajst-19207	28	16	denotes	denote	VERB
ajst-19207	28	17	users	user	NOUN
ajst-19207	28	18	perform	perform	VERB
ajst-19207	28	19	actions	action	NOUN
ajst-19207	28	20	,	,	PUNCT
ajst-19207	28	21	such	such	ADJ
ajst-19207	28	22	as	as	ADP
ajst-19207	28	23	post	post	NOUN
ajst-19207	28	24	,	,	PUNCT
ajst-19207	28	25	retweet	retweet	NOUN
ajst-19207	28	26	and	and	CCONJ
ajst-19207	28	27	comment	comment	NOUN
ajst-19207	28	28	,	,	PUNCT
ajst-19207	28	29	on	on	ADP
ajst-19207	28	30	the	the	DET
ajst-19207	28	31	source	source	NOUN
ajst-19207	28	32	tweets	tweet	NOUN
ajst-19207	28	33	.	.	PUNCT
ajst-19207	29	1	[	[	X
ajst-19207	29	2	46]the	46]the	DET
ajst-19207	29	3	tree	tree	NOUN
ajst-19207	29	4	structure	structure	NOUN
ajst-19207	29	5	of	of	ADP
ajst-19207	29	6	information	information	NOUN
ajst-19207	29	7	propagation	propagation	NOUN
ajst-19207	29	8	shows	show	VERB
ajst-19207	29	9	the	the	DET
ajst-19207	29	10	information	information	NOUN
ajst-19207	29	11	of	of	ADP
ajst-19207	29	12	a	a	DET
ajst-19207	29	13	source	source	NOUN
ajst-19207	29	14	tweet	tweet	NOUN
ajst-19207	29	15	forwards	forwards	ADV
ajst-19207	29	16	from	from	ADP
ajst-19207	29	17	a	a	DET
ajst-19207	29	18	root	root	NOUN
ajst-19207	29	19	node	node	NOUN
ajst-19207	29	20	(	(	PUNCT
ajst-19207	29	21	source	source	NOUN
ajst-19207	29	22	tweet	tweet	NOUN
ajst-19207	29	23	)	)	PUNCT
ajst-19207	29	24	to	to	ADP
ajst-19207	29	25	its	its	PRON
ajst-19207	29	26	children	child	NOUN
ajst-19207	29	27	’s	’s	PART
ajst-19207	29	28	nodes	node	NOUN
ajst-19207	29	29	(	(	PUNCT
ajst-19207	29	30	comments	comment	NOUN
ajst-19207	29	31	/	/	SYM
ajst-19207	29	32	retweet	retweet	NOUN
ajst-19207	29	33	)	)	PUNCT
ajst-19207	29	34	in	in	ADP
ajst-19207	29	35	a	a	DET
ajst-19207	29	36	tree.[29	tree.[29	NOUN
ajst-19207	29	37	]	]	PUNCT
ajst-19207	29	38	after	after	ADP
ajst-19207	29	39	that	that	PRON
ajst-19207	29	40	,	,	PUNCT
ajst-19207	29	41	we	we	PRON
ajst-19207	29	42	combine	combine	VERB
ajst-19207	29	43	the	the	DET
ajst-19207	29	44	learned	learn	VERB
ajst-19207	29	45	representations	representation	NOUN
ajst-19207	29	46	from	from	ADP
ajst-19207	29	47	these	these	DET
ajst-19207	29	48	two	two	NUM
ajst-19207	29	49	parts	part	NOUN
ajst-19207	29	50	and	and	CCONJ
ajst-19207	29	51	then	then	ADV
ajst-19207	29	52	feed	feed	VERB
ajst-19207	29	53	them	they	PRON
ajst-19207	29	54	into	into	ADP
ajst-19207	29	55	a	a	DET
ajst-19207	29	56	fully	fully	ADV
ajst-19207	29	57	connected	connect	VERB
ajst-19207	29	58	layer[55	layer[55	NOUN
ajst-19207	29	59	]	]	PUNCT
ajst-19207	29	60	to	to	PART
ajst-19207	29	61	classify	classify	VERB
ajst-19207	29	62	the	the	DET
ajst-19207	29	63	source	source	NOUN
ajst-19207	29	64	tweets	tweet	NOUN
ajst-19207	29	65	into	into	ADP
ajst-19207	29	66	different	different	ADJ
ajst-19207	29	67	categories	category	NOUN
ajst-19207	29	68	.	.	PUNCT
ajst-19207	30	1	in	in	ADP
ajst-19207	30	2	order	order	NOUN
ajst-19207	30	3	to	to	PART
ajst-19207	30	4	enhance	enhance	VERB
ajst-19207	30	5	the	the	DET
ajst-19207	30	6	influence	influence	NOUN
ajst-19207	30	7	of	of	ADP
ajst-19207	30	8	root	root	NOUN
ajst-19207	30	9	tweets	tweet	NOUN
ajst-19207	30	10	in	in	ADP
ajst-19207	30	11	a	a	DET
ajst-19207	30	12	deep	deep	ADJ
ajst-19207	30	13	tree	tree	NOUN
ajst-19207	30	14	,	,	PUNCT
ajst-19207	30	15	we	we	PRON
ajst-19207	30	16	use	use	VERB
ajst-19207	30	17	the	the	DET
ajst-19207	30	18	same	same	ADJ
ajst-19207	30	19	methodology	methodology	NOUN
ajst-19207	30	20	as	as	ADP
ajst-19207	30	21	bigcn	bigcn	NOUN
ajst-19207	30	22	to	to	PART
ajst-19207	30	23	pass	pass	VERB
ajst-19207	30	24	the	the	DET
ajst-19207	30	25	features	feature	NOUN
ajst-19207	30	26	of	of	ADP
ajst-19207	30	27	root	root	NOUN
ajst-19207	30	28	tweets	tweet	NOUN
ajst-19207	30	29	to	to	ADP
ajst-19207	30	30	their	their	PRON
ajst-19207	30	31	children	child	NOUN
ajst-19207	30	32	’s	’s	PART
ajst-19207	30	33	nodes.[44	nodes.[44	PROPN
ajst-19207	30	34	]	]	PUNCT
ajst-19207	30	35	the	the	DET
ajst-19207	30	36	main	main	ADJ
ajst-19207	30	37	contributions	contribution	NOUN
ajst-19207	30	38	of	of	ADP
ajst-19207	30	39	this	this	DET
ajst-19207	30	40	paper	paper	NOUN
ajst-19207	30	41	are	be	AUX
ajst-19207	30	42	summarized	summarize	VERB
ajst-19207	30	43	as	as	SCONJ
ajst-19207	30	44	follows	follow	VERB
ajst-19207	30	45	:	:	PUNCT
ajst-19207	30	46	we	we	PRON
ajst-19207	30	47	propose	propose	VERB
ajst-19207	30	48	a	a	DET
ajst-19207	30	49	new	new	ADJ
ajst-19207	30	50	detection	detection	NOUN
ajst-19207	30	51	model	model	NOUN
ajst-19207	30	52	,	,	PUNCT
ajst-19207	30	53	which	which	PRON
ajst-19207	30	54	learns	learn	VERB
ajst-19207	30	55	the	the	DET
ajst-19207	30	56	joint	joint	ADJ
ajst-19207	30	57	representations	representation	NOUN
ajst-19207	30	58	of	of	ADP
ajst-19207	30	59	user	user	NOUN
ajst-19207	30	60	correlation	correlation	NOUN
ajst-19207	30	61	and	and	CCONJ
ajst-19207	30	62	information	information	NOUN
ajst-19207	30	63	propagation	propagation	NOUN
ajst-19207	30	64	to	to	PART
ajst-19207	30	65	detect	detect	VERB
ajst-19207	30	66	rumors	rumor	NOUN
ajst-19207	30	67	on	on	ADP
ajst-19207	30	68	social	social	ADJ
ajst-19207	30	69	media	medium	NOUN
ajst-19207	30	70	.	.	PUNCT
ajst-19207	31	1	we	we	PRON
ajst-19207	31	2	adopt	adopt	VERB
ajst-19207	31	3	a	a	DET
ajst-19207	31	4	greedy	greedy	ADJ
ajst-19207	31	5	attack	attack	NOUN
ajst-19207	31	6	scheme	scheme	NOUN
ajst-19207	31	7	that	that	PRON
ajst-19207	31	8	generates	generate	VERB
ajst-19207	31	9	fake	fake	ADJ
ajst-19207	31	10	edges	edge	NOUN
ajst-19207	31	11	and	and	CCONJ
ajst-19207	31	12	comments	comment	NOUN
ajst-19207	31	13	to	to	PART
ajst-19207	31	14	explore	explore	VERB
ajst-19207	31	15	the	the	DET
ajst-19207	31	16	cost	cost	NOUN
ajst-19207	31	17	of	of	ADP
ajst-19207	31	18	adversarial	adversarial	ADJ
ajst-19207	31	19	attacks	attack	NOUN
ajst-19207	31	20	on	on	ADP
ajst-19207	31	21	the	the	DET
ajst-19207	31	22	proposed	propose	VERB
ajst-19207	31	23	method	method	NOUN
ajst-19207	31	24	.	.	PUNCT
ajst-19207	32	1	evaluations	evaluation	NOUN
ajst-19207	32	2	on	on	ADP
ajst-19207	32	3	two	two	NUM
ajst-19207	32	4	public	public	ADJ
ajst-19207	32	5	datasets	dataset	NOUN
ajst-19207	32	6	demonstrate	demonstrate	VERB
ajst-19207	32	7	the	the	DET
ajst-19207	32	8	proposed	propose	VERB
ajst-19207	32	9	model	model	NOUN
ajst-19207	32	10	outperforms	outperform	VERB
ajst-19207	32	11	the	the	DET
ajst-19207	32	12	baselines	baseline	NOUN
ajst-19207	32	13	in	in	ADP
ajst-19207	32	14	terms	term	NOUN
ajst-19207	32	15	of	of	ADP
ajst-19207	32	16	detection	detection	NOUN
ajst-19207	32	17	accuracy	accuracy	NOUN
ajst-19207	32	18	and	and	CCONJ
ajst-19207	32	19	f1	f1	NOUN
ajst-19207	32	20	score	score	NOUN
ajst-19207	32	21	.	.	PUNCT
ajst-19207	33	1	we	we	PRON
ajst-19207	33	2	also	also	ADV
ajst-19207	33	3	show	show	VERB
ajst-19207	33	4	attackers	attacker	NOUN
ajst-19207	33	5	need	need	VERB
ajst-19207	33	6	higher	high	ADJ
ajst-19207	33	7	cost	cost	NOUN
ajst-19207	33	8	to	to	PART
ajst-19207	33	9	fool	fool	VERB
ajst-19207	33	10	our	our	PRON
ajst-19207	33	11	method	method	NOUN
ajst-19207	33	12	compared	compare	VERB
ajst-19207	33	13	to	to	ADP
ajst-19207	33	14	the	the	DET
ajst-19207	33	15	best	good	ADJ
ajst-19207	33	16	baseline	baseline	NOUN
ajst-19207	33	17	.	.	PUNCT
ajst-19207	34	1	the	the	DET
ajst-19207	34	2	rest	rest	NOUN
ajst-19207	34	3	of	of	ADP
ajst-19207	34	4	paper	paper	NOUN
ajst-19207	34	5	is	be	AUX
ajst-19207	34	6	organized	organize	VERB
ajst-19207	34	7	as	as	SCONJ
ajst-19207	34	8	follows	follow	VERB
ajst-19207	34	9	.	.	PUNCT
ajst-19207	35	1	section	section	NOUN
ajst-19207	35	2	1	1	NUM
ajst-19207	35	3	introduces	introduce	NOUN
ajst-19207	35	4	the	the	DET
ajst-19207	35	5	problem	problem	NOUN
ajst-19207	35	6	of	of	ADP
ajst-19207	35	7	rumor	rumor	NOUN
ajst-19207	35	8	detection	detection	NOUN
ajst-19207	35	9	and	and	CCONJ
ajst-19207	35	10	the	the	DET
ajst-19207	35	11	background	background	NOUN
ajst-19207	35	12	of	of	ADP
ajst-19207	35	13	graph	graph	NOUN
ajst-19207	35	14	neural	neural	ADJ
ajst-19207	35	15	networks	network	NOUN
ajst-19207	35	16	.	.	PUNCT
ajst-19207	36	1	then	then	ADV
ajst-19207	36	2	we	we	PRON
ajst-19207	36	3	present	present	VERB
ajst-19207	36	4	the	the	DET
ajst-19207	36	5	overall	overall	ADJ
ajst-19207	36	6	architecture	architecture	NOUN
ajst-19207	36	7	of	of	ADP
ajst-19207	36	8	the	the	DET
ajst-19207	36	9	proposed	propose	VERB
ajst-19207	36	10	model	model	NOUN
ajst-19207	36	11	in	in	ADP
ajst-19207	36	12	section	section	NOUN
ajst-19207	36	13	2	2	NUM
ajst-19207	36	14	and	and	CCONJ
ajst-19207	36	15	3	3	NUM
ajst-19207	36	16	in	in	ADP
ajst-19207	36	17	section	section	NOUN
ajst-19207	36	18	4	4	NUM
ajst-19207	36	19	,	,	PUNCT
ajst-19207	36	20	we	we	PRON
ajst-19207	36	21	evaluate	evaluate	VERB
ajst-19207	36	22	the	the	DET
ajst-19207	36	23	performance	performance	NOUN
ajst-19207	36	24	of	of	ADP
ajst-19207	36	25	the	the	DET
ajst-19207	36	26	proposed	propose	VERB
ajst-19207	36	27	model	model	NOUN
ajst-19207	36	28	on	on	ADP
ajst-19207	36	29	two	two	NUM
ajst-19207	36	30	public	public	ADJ
ajst-19207	36	31	datasets	dataset	NOUN
ajst-19207	36	32	.	.	PUNCT
ajst-19207	37	1	finally	finally	ADV
ajst-19207	37	2	,	,	PUNCT
ajst-19207	37	3	we	we	PRON
ajst-19207	37	4	conclude	conclude	VERB
ajst-19207	37	5	the	the	DET
ajst-19207	37	6	paper	paper	NOUN
ajst-19207	37	7	in	in	ADP
ajst-19207	37	8	section	section	NOUN
ajst-19207	37	9	5	5	NUM
ajst-19207	37	10	.	.	SYM
ajst-19207	37	11	2	2	NUM
ajst-19207	37	12	.	.	X
ajst-19207	37	13	organization	organization	NOUN
ajst-19207	37	14	of	of	ADP
ajst-19207	37	15	the	the	DET
ajst-19207	37	16	text	text	NOUN
ajst-19207	37	17	we	we	PRON
ajst-19207	37	18	first	first	ADV
ajst-19207	37	19	introduce	introduce	VERB
ajst-19207	37	20	the	the	DET
ajst-19207	37	21	problem	problem	NOUN
ajst-19207	37	22	of	of	ADP
ajst-19207	37	23	rumor	rumor	NOUN
ajst-19207	37	24	detection	detection	NOUN
ajst-19207	37	25	,	,	PUNCT
ajst-19207	37	26	and	and	CCONJ
ajst-19207	37	27	then	then	ADV
ajst-19207	37	28	present	present	VERB
ajst-19207	37	29	the	the	DET
ajst-19207	37	30	background	background	NOUN
ajst-19207	37	31	of	of	ADP
ajst-19207	37	32	graph	graph	NOUN
ajst-19207	37	33	convolutional	convolutional	ADJ
ajst-19207	37	34	neural	neural	ADJ
ajst-19207	37	35	networks	network	NOUN
ajst-19207	37	36	used	use	VERB
ajst-19207	37	37	in	in	ADP
ajst-19207	37	38	the	the	DET
ajst-19207	37	39	proposed	propose	VERB
ajst-19207	37	40	model	model	NOUN
ajst-19207	37	41	.	.	PUNCT
ajst-19207	38	1	2.1	2.1	NUM
ajst-19207	38	2	.	.	PUNCT
ajst-19207	39	1	problem	problem	NOUN
ajst-19207	39	2	statement	statement	NOUN
ajst-19207	39	3	figure	figure	NOUN
ajst-19207	39	4	1	1	NUM
ajst-19207	39	5	.	.	PUNCT
ajst-19207	40	1	a	a	DET
ajst-19207	40	2	toy	toy	NOUN
ajst-19207	40	3	example	example	NOUN
ajst-19207	40	4	of	of	ADP
ajst-19207	40	5	rumor	rumor	NOUN
ajst-19207	40	6	detection	detection	NOUN
ajst-19207	40	7	fig.1	fig.1	PROPN
ajst-19207	40	8	illustrates	illustrate	VERB
ajst-19207	40	9	an	an	DET
ajst-19207	40	10	example	example	NOUN
ajst-19207	40	11	of	of	ADP
ajst-19207	40	12	our	our	PRON
ajst-19207	40	13	rumor	rumor	NOUN
ajst-19207	40	14	detection	detection	NOUN
ajst-19207	40	15	method	method	NOUN
ajst-19207	40	16	,	,	PUNCT
ajst-19207	40	17	consisting	consist	VERB
ajst-19207	40	18	of	of	ADP
ajst-19207	40	19	two	two	NUM
ajst-19207	40	20	parts	part	NOUN
ajst-19207	40	21	:	:	PUNCT
ajst-19207	40	22	user	user	NOUN
ajst-19207	40	23	correlation	correlation	NOUN
ajst-19207	40	24	and	and	CCONJ
ajst-19207	40	25	information	information	NOUN
ajst-19207	40	26	propagation	propagation	NOUN
ajst-19207	40	27	.	.	PUNCT
ajst-19207	41	1	for	for	ADP
ajst-19207	41	2	user	user	NOUN
ajst-19207	41	3	correlation	correlation	NOUN
ajst-19207	41	4	,	,	PUNCT
ajst-19207	41	5	let	let	VERB
ajst-19207	41	6	𝑇	𝑇	PROPN
ajst-19207	41	7	,	,	PUNCT
ajst-19207	41	8	𝑇	𝑇	PROPN
ajst-19207	41	9	,	,	PUNCT
ajst-19207	41	10	…	…	PUNCT
ajst-19207	41	11	𝑇	𝑇	PROPN
ajst-19207	41	12	denote	denote	VERB
ajst-19207	41	13	a	a	DET
ajst-19207	41	14	set	set	NOUN
ajst-19207	41	15	of	of	ADP
ajst-19207	41	16	𝑛	𝑛	DET
ajst-19207	41	17	source	source	NOUN
ajst-19207	41	18	claims	claim	NOUN
ajst-19207	41	19	(	(	PUNCT
ajst-19207	41	20	tweets	tweet	NOUN
ajst-19207	41	21	)	)	PUNCT
ajst-19207	41	22	made	make	VERB
ajst-19207	41	23	by	by	ADP
ajst-19207	41	24	many	many	ADJ
ajst-19207	41	25	different	different	ADJ
ajst-19207	41	26	users	user	NOUN
ajst-19207	41	27	on	on	ADP
ajst-19207	41	28	social	social	ADJ
ajst-19207	41	29	media	medium	NOUN
ajst-19207	41	30	,	,	PUNCT
ajst-19207	41	31	𝑈	𝑈	PROPN
ajst-19207	41	32	,	,	PUNCT
ajst-19207	41	33	𝑈	𝑈	PROPN
ajst-19207	41	34	,	,	PUNCT
ajst-19207	41	35	…	…	PUNCT
ajst-19207	41	36	𝑈	𝑈	PROPN
ajst-19207	41	37	denote	denote	VERB
ajst-19207	41	38	a	a	DET
ajst-19207	41	39	group	group	NOUN
ajst-19207	41	40	of	of	ADP
ajst-19207	41	41	𝑘	𝑘	DET
ajst-19207	41	42	users	user	NOUN
ajst-19207	41	43	who	who	PRON
ajst-19207	41	44	perform	perform	VERB
ajst-19207	41	45	actions	action	NOUN
ajst-19207	41	46	,	,	PUNCT
ajst-19207	41	47	such	such	ADJ
ajst-19207	41	48	as	as	ADP
ajst-19207	41	49	post	post	NOUN
ajst-19207	41	50	and	and	CCONJ
ajst-19207	41	51	retweet	retweet	NOUN
ajst-19207	41	52	,	,	PUNCT
ajst-19207	41	53	on	on	ADP
ajst-19207	41	54	source	source	NOUN
ajst-19207	41	55	tweets	tweet	NOUN
ajst-19207	41	56	.	.	PUNCT
ajst-19207	42	1	in	in	ADP
ajst-19207	42	2	this	this	DET
ajst-19207	42	3	paper	paper	NOUN
ajst-19207	42	4	,	,	PUNCT
ajst-19207	42	5	a	a	DET
ajst-19207	42	6	bipartite	bipartite	NOUN
ajst-19207	42	7	graph	graph	NOUN
ajst-19207	42	8	,	,	PUNCT
ajst-19207	42	9	𝐺	𝐺	PROPN
ajst-19207	42	10	𝑉	𝑉	PROPN
ajst-19207	42	11	,	,	PUNCT
ajst-19207	42	12	𝐸	𝐸	PROPN
ajst-19207	42	13	,	,	PUNCT
ajst-19207	42	14	𝑨	𝑨	PROPN
ajst-19207	42	15	is	be	AUX
ajst-19207	42	16	constructed	construct	VERB
ajst-19207	42	17	to	to	PART
ajst-19207	42	18	describe	describe	VERB
ajst-19207	42	19	the	the	DET
ajst-19207	42	20	user	user	NOUN
ajst-19207	42	21	-	-	PUNCT
ajst-19207	42	22	tweet	tweet	NOUN
ajst-19207	42	23	relationship	relationship	NOUN
ajst-19207	42	24	,	,	PUNCT
ajst-19207	42	25	where	where	SCONJ
ajst-19207	42	26	𝑉	𝑉	PROPN
ajst-19207	42	27	denotes	denote	VERB
ajst-19207	42	28	the	the	DET
ajst-19207	42	29	vertices	vertex	NOUN
ajst-19207	42	30	,	,	PUNCT
ajst-19207	42	31	and	and	CCONJ
ajst-19207	42	32	𝐸denotes	𝐸denote	VERB
ajst-19207	42	33	the	the	DET
ajst-19207	42	34	edges	edge	NOUN
ajst-19207	42	35	.	.	PUNCT
ajst-19207	43	1	when	when	SCONJ
ajst-19207	43	2	a	a	DET
ajst-19207	43	3	user	user	NOUN
ajst-19207	43	4	𝑈	𝑈	PROPN
ajst-19207	43	5	performs	perform	VERB
ajst-19207	43	6	an	an	DET
ajst-19207	43	7	action	action	NOUN
ajst-19207	43	8	on	on	ADP
ajst-19207	43	9	a	a	DET
ajst-19207	43	10	source	source	NOUN
ajst-19207	43	11	tweet	tweet	NOUN
ajst-19207	43	12	𝑇	𝑇	PROPN
ajst-19207	43	13	,	,	PUNCT
ajst-19207	43	14	there	there	PRON
ajst-19207	43	15	is	be	VERB
ajst-19207	43	16	an	an	DET
ajst-19207	43	17	edge	edge	NOUN
ajst-19207	43	18	between	between	ADP
ajst-19207	43	19	them	they	PRON
ajst-19207	43	20	.	.	PUNCT
ajst-19207	44	1	mathematically	mathematically	ADV
ajst-19207	44	2	,	,	PUNCT
ajst-19207	44	3	the	the	DET
ajst-19207	44	4	relationship	relationship	NOUN
ajst-19207	44	5	between	between	ADP
ajst-19207	44	6	users	user	NOUN
ajst-19207	44	7	and	and	CCONJ
ajst-19207	44	8	source	source	NOUN
ajst-19207	44	9	tweets	tweet	NOUN
ajst-19207	44	10	can	can	AUX
ajst-19207	44	11	be	be	AUX
ajst-19207	44	12	denoted	denote	VERB
ajst-19207	44	13	by	by	ADP
ajst-19207	44	14	an	an	DET
ajst-19207	44	15	adjacency	adjacency	NOUN
ajst-19207	44	16	matrix	matrix	NOUN
ajst-19207	44	17	.	.	PUNCT
ajst-19207	45	1	for	for	ADP
ajst-19207	45	2	information	information	NOUN
ajst-19207	45	3	propagation	propagation	NOUN
ajst-19207	45	4	module	module	NOUN
ajst-19207	45	5	,	,	PUNCT
ajst-19207	45	6	each	each	DET
ajst-19207	45	7	source	source	NOUN
ajst-19207	45	8	tweet	tweet	NOUN
ajst-19207	45	9	𝑇	𝑇	PROPN
ajst-19207	45	10	consists	consist	VERB
ajst-19207	45	11	of	of	ADP
ajst-19207	45	12	𝑚	𝑚	PROPN
ajst-19207	45	13	comments	comment	NOUN
ajst-19207	45	14	with	with	ADP
ajst-19207	45	15	a	a	DET
ajst-19207	45	16	tree	tree	NOUN
ajst-19207	45	17	structure	structure	NOUN
ajst-19207	45	18	of	of	ADP
ajst-19207	45	19	information	information	NOUN
ajst-19207	45	20	diffusion	diffusion	NOUN
ajst-19207	45	21	,	,	PUNCT
ajst-19207	45	22	denoted	denote	VERB
ajst-19207	45	23	by	by	ADP
ajst-19207	45	24	𝐶	𝐶	PROPN
ajst-19207	45	25	,	,	PUNCT
ajst-19207	45	26	𝐶	𝐶	PROPN
ajst-19207	45	27	,	,	PUNCT
ajst-19207	45	28	⋯	⋯	PROPN
ajst-19207	45	29	,	,	PUNCT
ajst-19207	45	30	𝐶	𝐶	PROPN
ajst-19207	45	31	.	.	PUNCT
ajst-19207	46	1	we	we	PRON
ajst-19207	46	2	use	use	VERB
ajst-19207	46	3	$	$	SYM
ajst-19207	46	4	𝐺	𝐺	PROPN
ajst-19207	46	5	𝑉	𝑉	PROPN
ajst-19207	46	6	,	,	PUNCT
ajst-19207	46	7	𝐸	𝐸	PROPN
ajst-19207	46	8	,	,	PUNCT
ajst-19207	46	9	𝑨	𝑨	NOUN
ajst-19207	46	10	to	to	PART
ajst-19207	46	11	denote	denote	VERB
ajst-19207	46	12	the	the	DET
ajst-19207	46	13	tree	tree	NOUN
ajst-19207	46	14	structure	structure	NOUN
ajst-19207	46	15	.	.	PUNCT
ajst-19207	47	1	similar	similar	ADJ
ajst-19207	47	2	to	to	ADP
ajst-19207	47	3	user	user	NOUN
ajst-19207	47	4	-	-	PUNCT
ajst-19207	47	5	tweet	tweet	NOUN
ajst-19207	47	6	relationship	relationship	NOUN
ajst-19207	47	7	,	,	PUNCT
ajst-19207	47	8	we	we	PRON
ajst-19207	47	9	adopt	adopt	VERB
ajst-19207	47	10	an	an	DET
ajst-19207	47	11	adjacency	adjacency	NOUN
ajst-19207	47	12	matrix	matrix	NOUN
ajst-19207	47	13	,	,	PUNCT
ajst-19207	47	14	𝑨	𝑨	PROPN
ajst-19207	47	15	,	,	PUNCT
ajst-19207	47	16	to	to	PART
ajst-19207	47	17	denote	denote	VERB
ajst-19207	47	18	the	the	DET
ajst-19207	47	19	relationship	relationship	NOUN
ajst-19207	47	20	among	among	ADP
ajst-19207	47	21	(	(	PUNCT
ajst-19207	47	22	root	root	NOUN
ajst-19207	47	23	)	)	PUNCT
ajst-19207	47	24	source	source	NOUN
ajst-19207	47	25	tweets	tweet	NOUN
ajst-19207	47	26	and	and	CCONJ
ajst-19207	47	27	the	the	DET
ajst-19207	47	28	corresponding	corresponding	ADJ
ajst-19207	47	29	comments	comment	NOUN
ajst-19207	47	30	in	in	ADP
ajst-19207	47	31	a	a	DET
ajst-19207	47	32	tree	tree	NOUN
ajst-19207	47	33	structure	structure	NOUN
ajst-19207	47	34	.	.	PUNCT
ajst-19207	48	1	the	the	DET
ajst-19207	48	2	goal	goal	NOUN
ajst-19207	48	3	of	of	ADP
ajst-19207	48	4	this	this	DET
ajst-19207	48	5	paper	paper	NOUN
ajst-19207	48	6	is	be	AUX
ajst-19207	48	7	to	to	PART
ajst-19207	48	8	learn	learn	VERB
ajst-19207	48	9	the	the	DET
ajst-19207	48	10	representation	representation	NOUN
ajst-19207	48	11	of	of	ADP
ajst-19207	48	12	source	source	NOUN
ajst-19207	48	13	tweets	tweet	NOUN
ajst-19207	48	14	from	from	ADP
ajst-19207	48	15	both	both	PRON
ajst-19207	48	16	user	user	NOUN
ajst-19207	48	17	correlation	correlation	NOUN
ajst-19207	48	18	and	and	CCONJ
ajst-19207	48	19	information	information	NOUN
ajst-19207	48	20	propagation	propagation	NOUN
ajst-19207	48	21	,	,	PUNCT
ajst-19207	48	22	and	and	CCONJ
ajst-19207	48	23	then	then	ADV
ajst-19207	48	24	classify	classify	VERB
ajst-19207	48	25	the	the	DET
ajst-19207	48	26	source	source	NOUN
ajst-19207	48	27	tweets	tweet	NOUN
ajst-19207	48	28	into	into	ADP
ajst-19207	48	29	𝑑	𝑑	PROPN
ajst-19207	48	30	different	different	ADJ
ajst-19207	48	31	categories	category	NOUN
ajst-19207	48	32	based	base	VERB
ajst-19207	48	33	on	on	ADP
ajst-19207	48	34	the	the	DET
ajst-19207	48	35	learned	learn	VERB
ajst-19207	48	36	representations	representation	NOUN
ajst-19207	48	37	.	.	PUNCT
ajst-19207	49	1	2.2	2.2	NUM
ajst-19207	49	2	.	.	PUNCT
ajst-19207	50	1	graph	graph	VERB
ajst-19207	50	2	convolutional	convolutional	ADJ
ajst-19207	50	3	neural	neural	ADJ
ajst-19207	50	4	network	network	NOUN
ajst-19207	50	5	graph	graph	NOUN
ajst-19207	50	6	neural	neural	ADJ
ajst-19207	50	7	networks	network	NOUN
ajst-19207	50	8	(	(	PUNCT
ajst-19207	50	9	gnns	gnns	ADJ
ajst-19207	50	10	)	)	PUNCT
ajst-19207	50	11	aim	aim	NOUN
ajst-19207	50	12	to	to	PART
ajst-19207	50	13	encode[23	encode[23	VERB
ajst-19207	50	14	]	]	PUNCT
ajst-19207	50	15	structural	structural	ADJ
ajst-19207	50	16	information	information	NOUN
ajst-19207	50	17	about	about	ADP
ajst-19207	50	18	a	a	DET
ajst-19207	50	19	graph	graph	NOUN
ajst-19207	50	20	into	into	ADP
ajst-19207	50	21	a	a	DET
ajst-19207	50	22	low	low	ADJ
ajst-19207	50	23	-	-	PUNCT
ajst-19207	50	24	dimensional	dimensional	ADJ
ajst-19207	50	25	latent	latent	NOUN
ajst-19207	50	26	space	space	NOUN
ajst-19207	50	27	,	,	PUNCT
ajst-19207	50	28	which	which	PRON
ajst-19207	50	29	generally	generally	ADV
ajst-19207	50	30	consists	consist	VERB
ajst-19207	50	31	of	of	ADP
ajst-19207	50	32	two	two	NUM
ajst-19207	50	33	components	component	NOUN
ajst-19207	50	34	1	1	NUM
ajst-19207	50	35	)	)	PUNCT
ajst-19207	50	36	graph	graph	NOUN
ajst-19207	50	37	convolution	convolution	NOUN
ajst-19207	50	38	layers	layer	NOUN
ajst-19207	50	39	which	which	PRON
ajst-19207	50	40	extract	extract	VERB
ajst-19207	50	41	substructure	substructure	NOUN
ajst-19207	50	42	features	feature	NOUN
ajst-19207	50	43	from	from	ADP
ajst-19207	50	44	local	local	ADJ
ajst-19207	50	45	nodes	node	NOUN
ajst-19207	50	46	;	;	PUNCT
ajst-19207	50	47	2	2	X
ajst-19207	50	48	)	)	PUNCT
ajst-19207	50	49	a	a	DET
ajst-19207	50	50	graph	graph	NOUN
ajst-19207	50	51	aggregation	aggregation	NOUN
ajst-19207	50	52	layer	layer	NOUN
ajst-19207	50	53	that	that	PRON
ajst-19207	50	54	aggregates	aggregate	VERB
ajst-19207	50	55	node	node	NOUN
ajst-19207	50	56	-	-	PUNCT
ajst-19207	50	57	level	level	NOUN
ajst-19207	50	58	features	feature	NOUN
ajst-19207	50	59	into	into	ADP
ajst-19207	50	60	a	a	DET
ajst-19207	50	61	graph	graph	NOUN
ajst-19207	50	62	-	-	PUNCT
ajst-19207	50	63	level	level	NOUN
ajst-19207	50	64	representation	representation	NOUN
ajst-19207	50	65	.	.	PUNCT
ajst-19207	51	1	as	as	SCONJ
ajst-19207	51	2	one	one	NUM
ajst-19207	51	3	of	of	ADP
ajst-19207	51	4	the	the	DET
ajst-19207	51	5	most	most	ADV
ajst-19207	51	6	popular	popular	ADJ
ajst-19207	51	7	gnn	gnn	NOUN
ajst-19207	51	8	,	,	PUNCT
ajst-19207	51	9	graph	graph	VERB
ajst-19207	51	10	convolutional	convolutional	ADJ
ajst-19207	51	11	neural	neural	ADJ
ajst-19207	51	12	networks	network	NOUN
ajst-19207	51	13	(	(	PUNCT
ajst-19207	51	14	gcns	gcns	PROPN
ajst-19207	51	15	)	)	PUNCT
ajst-19207	51	16	have	have	AUX
ajst-19207	51	17	been	be	AUX
ajst-19207	51	18	widely	widely	ADV
ajst-19207	51	19	used	use	VERB
ajst-19207	51	20	in	in	ADP
ajst-19207	51	21	a	a	DET
ajst-19207	51	22	variety	variety	NOUN
ajst-19207	51	23	of	of	ADP
ajst-19207	51	24	applications[36	applications[36	PROPN
ajst-19207	51	25	]	]	X
ajst-19207	51	26	,	,	PUNCT
ajst-19207	51	27	such	such	ADJ
ajst-19207	51	28	as	as	ADP
ajst-19207	51	29	classification	classification	NOUN
ajst-19207	51	30	and	and	CCONJ
ajst-19207	51	31	clustering,[54	clustering,[54	NOUN
ajst-19207	51	32	]	]	PUNCT
ajst-19207	51	33	because	because	SCONJ
ajst-19207	51	34	they	they	PRON
ajst-19207	51	35	can	can	AUX
ajst-19207	51	36	encode	encode	VERB
ajst-19207	51	37	both	both	PRON
ajst-19207	51	38	node	node	ADJ
ajst-19207	51	39	features	feature	NOUN
ajst-19207	51	40	and	and	CCONJ
ajst-19207	51	41	graph	graph	NOUN
ajst-19207	51	42	structure	structure	NOUN
ajst-19207	51	43	of	of	ADP
ajst-19207	51	44	neighboring	neighboring	NOUN
ajst-19207	51	45	nodes	node	NOUN
ajst-19207	51	46	.	.	PUNCT
ajst-19207	52	1	the	the	DET
ajst-19207	52	2	basic	basic	ADJ
ajst-19207	52	3	idea	idea	NOUN
ajst-19207	52	4	of	of	ADP
ajst-19207	52	5	gcns	gcns	PROPN
ajst-19207	52	6	is	be	AUX
ajst-19207	52	7	to	to	PART
ajst-19207	52	8	learn	learn	VERB
ajst-19207	52	9	the	the	DET
ajst-19207	52	10	representations	representation	NOUN
ajst-19207	52	11	of	of	ADP
ajst-19207	52	12	nodes	node	NOUN
ajst-19207	52	13	in	in	ADP
ajst-19207	52	14	a	a	DET
ajst-19207	52	15	graph	graph	NOUN
ajst-19207	52	16	based	base	VERB
ajst-19207	52	17	on	on	ADP
ajst-19207	52	18	the	the	DET
ajst-19207	52	19	input	input	NOUN
ajst-19207	52	20	features	feature	NOUN
ajst-19207	52	21	of	of	ADP
ajst-19207	52	22	nodes	node	NOUN
ajst-19207	52	23	,	,	PUNCT
ajst-19207	52	24	𝑿	𝑿	PROPN
ajst-19207	52	25	,	,	PUNCT
ajst-19207	52	26	and	and	CCONJ
ajst-19207	52	27	their	their	PRON
ajst-19207	52	28	graph	graph	NOUN
ajst-19207	52	29	structure	structure	NOUN
ajst-19207	52	30	,	,	PUNCT
ajst-19207	52	31	denoted	denote	VERB
ajst-19207	52	32	by	by	ADP
ajst-19207	52	33	an	an	DET
ajst-19207	52	34	adjacency	adjacency	NOUN
ajst-19207	52	35	matrix	matrix	NOUN
ajst-19207	52	36	𝑨.	𝑨.	ADJ
ajst-19207	52	37	while	while	SCONJ
ajst-19207	52	38	there	there	PRON
ajst-19207	52	39	are	be	VERB
ajst-19207	52	40	many	many	ADJ
ajst-19207	52	41	different	different	ADJ
ajst-19207	52	42	variants	variant	NOUN
ajst-19207	52	43	of	of	ADP
ajst-19207	52	44	gcns	gcns	PROPN
ajst-19207	52	45	in	in	ADP
ajst-19207	52	46	the	the	DET
ajst-19207	52	47	literature	literature	NOUN
ajst-19207	52	48	,	,	PUNCT
ajst-19207	52	49	the	the	DET
ajst-19207	52	50	general	general	ADJ
ajst-19207	52	51	form	form	NOUN
ajst-19207	52	52	of	of	ADP
ajst-19207	52	53	a	a	DET
ajst-19207	52	54	gcn	gcn	NOUN
ajst-19207	52	55	is	be	AUX
ajst-19207	52	56	expressed	express	VERB
ajst-19207	52	57	by	by	ADP
ajst-19207	52	58	:	:	PUNCT
ajst-19207	52	59	𝑯𝒍	𝑯𝒍	PROPN
ajst-19207	52	60	𝟏	𝟏	NUM
ajst-19207	52	61	𝜎	𝜎	NOUN
ajst-19207	52	62	𝑨𝑯	𝑨𝑯	NOUN
ajst-19207	52	63	𝑾	𝑾	NOUN
ajst-19207	52	64	,	,	PUNCT
ajst-19207	52	65	where	where	SCONJ
ajst-19207	52	66	𝐴	𝐴	PROPN
ajst-19207	52	67	𝐷	𝐷	PROPN
ajst-19207	52	68	𝐴𝐷	𝐴𝐷	NOUN
ajst-19207	52	69	is	be	AUX
ajst-19207	52	70	the	the	DET
ajst-19207	52	71	normalized	normalize	VERB
ajst-19207	52	72	adjacency	adjacency	NOUN
ajst-19207	52	73	matrix	matrix	NOUN
ajst-19207	52	74	.	.	PUNCT
ajst-19207	53	1	in	in	ADP
ajst-19207	53	2	addition	addition	NOUN
ajst-19207	53	3	,	,	PUNCT
ajst-19207	53	4	𝑊	𝑊	PROPN
ajst-19207	53	5	is	be	AUX
ajst-19207	53	6	the	the	DET
ajst-19207	53	7	weight	weight	NOUN
ajst-19207	53	8	matrix	matrix	NOUN
ajst-19207	53	9	to	to	PART
ajst-19207	53	10	be	be	AUX
ajst-19207	53	11	trained	train	VERB
ajst-19207	53	12	,	,	PUNCT
ajst-19207	53	13	and	and	CCONJ
ajst-19207	53	14	𝜎	𝜎	PROPN
ajst-19207	53	15	⋅	⋅	PROPN
ajst-19207	53	16	is	be	AUX
ajst-19207	53	17	the	the	DET
ajst-19207	53	18	activation	activation	NOUN
ajst-19207	53	19	function	function	NOUN
ajst-19207	53	20	,	,	PUNCT
ajst-19207	53	21	such	such	ADJ
ajst-19207	53	22	as	as	ADP
ajst-19207	53	23	relu.[41	relu.[41	NOUN
ajst-19207	53	24	]	]	X
ajst-19207	53	25	3	3	X
ajst-19207	53	26	.	.	X
ajst-19207	53	27	system	system	NOUN
ajst-19207	53	28	design	design	NOUN
ajst-19207	53	29	and	and	CCONJ
ajst-19207	53	30	modeling	modeling	NOUN
ajst-19207	53	31	in	in	ADP
ajst-19207	53	32	this	this	DET
ajst-19207	53	33	section	section	NOUN
ajst-19207	53	34	,	,	PUNCT
ajst-19207	53	35	we	we	PRON
ajst-19207	53	36	introduce	introduce	VERB
ajst-19207	53	37	the	the	DET
ajst-19207	53	38	overall	overall	ADJ
ajst-19207	53	39	architecture	architecture	NOUN
ajst-19207	53	40	of	of	ADP
ajst-19207	53	41	the	the	DET
ajst-19207	53	42	proposed	propose	VERB
ajst-19207	53	43	our	our	PRON
ajst-19207	53	44	model	model	NOUN
ajst-19207	53	45	for	for	ADP
ajst-19207	53	46	rumor	rumor	NOUN
ajst-19207	53	47	detection	detection	NOUN
ajst-19207	53	48	.	.	PUNCT
ajst-19207	54	1	the	the	DET
ajst-19207	54	2	core	core	ADJ
ajst-19207	54	3	idea	idea	NOUN
ajst-19207	54	4	of	of	ADP
ajst-19207	54	5	our	our	PRON
ajst-19207	54	6	model	model	NOUN
ajst-19207	54	7	is	be	AUX
ajst-19207	54	8	to	to	PART
ajst-19207	54	9	learn	learn	VERB
ajst-19207	54	10	the	the	DET
ajst-19207	54	11	representations	representation	NOUN
ajst-19207	54	12	of	of	ADP
ajst-19207	54	13	source	source	NOUN
ajst-19207	54	14	tweets	tweet	NOUN
ajst-19207	54	15	from	from	ADP
ajst-19207	54	16	both	both	DET
ajst-19207	54	17	user	user	NOUN
ajst-19207	54	18	correlation	correlation	NOUN
ajst-19207	54	19	and	and	CCONJ
ajst-19207	54	20	information	information	NOUN
ajst-19207	54	21	propagation	propagation	NOUN
ajst-19207	54	22	respectively	respectively	ADV
ajst-19207	54	23	,	,	PUNCT
ajst-19207	54	24	which	which	PRON
ajst-19207	54	25	are	be	AUX
ajst-19207	54	26	then	then	ADV
ajst-19207	54	27	adopted	adopt	VERB
ajst-19207	54	28	to	to	PART
ajst-19207	54	29	classify	classify	VERB
ajst-19207	54	30	rumors	rumor	NOUN
ajst-19207	54	31	.	.	PUNCT
ajst-19207	55	1	the	the	DET
ajst-19207	55	2	reason	reason	NOUN
ajst-19207	55	3	why	why	SCONJ
ajst-19207	55	4	we	we	PRON
ajst-19207	55	5	learn	learn	VERB
ajst-19207	55	6	these	these	DET
ajst-19207	55	7	two	two	NUM
ajst-19207	55	8	representations	representation	NOUN
ajst-19207	55	9	independently	independently	ADV
ajst-19207	55	10	is	be	AUX
ajst-19207	55	11	that	that	SCONJ
ajst-19207	55	12	the	the	DET
ajst-19207	55	13	embeddings	embedding	NOUN
ajst-19207	55	14	of	of	ADP
ajst-19207	55	15	user	user	NOUN
ajst-19207	55	16	features	feature	NOUN
ajst-19207	55	17	and	and	CCONJ
ajst-19207	55	18	comments	comment	NOUN
ajst-19207	55	19	may	may	AUX
ajst-19207	55	20	be	be	AUX
ajst-19207	55	21	not	not	PART
ajst-19207	55	22	in	in	ADP
ajst-19207	55	23	the	the	DET
ajst-19207	55	24	same	same	ADJ
ajst-19207	55	25	latent	latent	NOUN
ajst-19207	55	26	space	space	NOUN
ajst-19207	55	27	.	.	PUNCT
ajst-19207	56	1	the	the	DET
ajst-19207	56	2	components	component	NOUN
ajst-19207	56	3	of	of	ADP
ajst-19207	56	4	the	the	DET
ajst-19207	56	5	model	model	NOUN
ajst-19207	56	6	are	be	AUX
ajst-19207	56	7	discussed	discuss	VERB
ajst-19207	56	8	below	below	ADP
ajst-19207	56	9	:	:	PUNCT
ajst-19207	57	1	3.1	3.1	NUM
ajst-19207	57	2	.	.	PUNCT
ajst-19207	57	3	user	user	NOUN
ajst-19207	57	4	feature	feature	NOUN
ajst-19207	57	5	encoding	encode	VERB
ajst-19207	57	6	to	to	PART
ajst-19207	57	7	reduce	reduce	VERB
ajst-19207	57	8	account	account	NOUN
ajst-19207	57	9	maintenance	maintenance	NOUN
ajst-19207	57	10	cost	cost	NOUN
ajst-19207	57	11	,	,	PUNCT
ajst-19207	57	12	many	many	ADJ
ajst-19207	57	13	user	user	NOUN
ajst-19207	57	14	accounts	account	NOUN
ajst-19207	57	15	would	would	AUX
ajst-19207	57	16	be	be	AUX
ajst-19207	57	17	created	create	VERB
ajst-19207	57	18	within	within	ADP
ajst-19207	57	19	a	a	DET
ajst-19207	57	20	short	short	ADJ
ajst-19207	57	21	period	period	NOUN
ajst-19207	57	22	of	of	ADP
ajst-19207	57	23	time	time	NOUN
ajst-19207	57	24	.	.	PUNCT
ajst-19207	58	1	inspired	inspire	VERB
ajst-19207	58	2	by	by	ADP
ajst-19207	58	3	this	this	PRON
ajst-19207	58	4	,	,	PUNCT
ajst-19207	58	5	we	we	PRON
ajst-19207	58	6	attempt	attempt	VERB
ajst-19207	58	7	to	to	PART
ajst-19207	58	8	utilize	utilize	VERB
ajst-19207	58	9	user	user	NOUN
ajst-19207	58	10	profiles	profile	NOUN
ajst-19207	58	11	as	as	ADP
ajst-19207	58	12	features	feature	NOUN
ajst-19207	58	13	to	to	PART
ajst-19207	58	14	depict	depict	VERB
ajst-19207	58	15	how	how	SCONJ
ajst-19207	58	16	users	user	NOUN
ajst-19207	58	17	participate	participate	VERB
ajst-19207	58	18	in	in	ADP
ajst-19207	58	19	rumor	rumor	NOUN
ajst-19207	58	20	dispersion.[4	dispersion.[4	X
ajst-19207	58	21	]	]	X
ajst-19207	58	22	the	the	DET
ajst-19207	58	23	extracted	extract	VERB
ajst-19207	58	24	features	feature	NOUN
ajst-19207	58	25	include	include	VERB
ajst-19207	58	26	number	number	NOUN
ajst-19207	58	27	of	of	ADP
ajst-19207	58	28	followers	follower	NOUN
ajst-19207	58	29	,	,	PUNCT
ajst-19207	58	30	number	number	NOUN
ajst-19207	58	31	of	of	ADP
ajst-19207	58	32	friends	friend	NOUN
ajst-19207	58	33	,	,	PUNCT
ajst-19207	58	34	account	account	NOUN
ajst-19207	58	35	created	create	VERB
ajst-19207	58	36	time	time	NOUN
ajst-19207	58	37	,	,	PUNCT
ajst-19207	58	38	the	the	DET
ajst-19207	58	39	total	total	ADJ
ajst-19207	58	40	number	number	NOUN
ajst-19207	58	41	of	of	ADP
ajst-19207	58	42	tweets	tweet	NOUN
ajst-19207	58	43	and	and	CCONJ
ajst-19207	58	44	so	so	ADV
ajst-19207	58	45	on	on	ADV
ajst-19207	58	46	.	.	PUNCT
ajst-19207	59	1	we	we	PRON
ajst-19207	59	2	feed	feed	VERB
ajst-19207	59	3	user	user	NOUN
ajst-19207	59	4	features	feature	VERB
ajst-19207	59	5	into	into	ADP
ajst-19207	59	6	fully	fully	ADV
ajst-19207	59	7	-	-	PUNCT
ajst-19207	59	8	connected	connect	VERB
ajst-19207	59	9	layers	layer	NOUN
ajst-19207	59	10	to	to	PART
ajst-19207	59	11	learn	learn	VERB
ajst-19207	59	12	its	its	PRON
ajst-19207	59	13	embedding	embed	VERB
ajst-19207	59	14	for	for	ADP
ajst-19207	59	15	further	further	ADJ
ajst-19207	59	16	optimization[45	optimization[45	NOUN
ajst-19207	59	17	]	]	PUNCT
ajst-19207	59	18	3.2	3.2	NUM
ajst-19207	59	19	.	.	PUNCT
ajst-19207	60	1	text	text	NOUN
ajst-19207	60	2	encoding	encoding	NOUN
ajst-19207	60	3	in	in	ADP
ajst-19207	60	4	order	order	NOUN
ajst-19207	60	5	to	to	PART
ajst-19207	60	6	capture	capture	VERB
ajst-19207	60	7	the	the	DET
ajst-19207	60	8	sequential	sequential	ADJ
ajst-19207	60	9	information	information	NOUN
ajst-19207	60	10	present	present	ADJ
ajst-19207	60	11	in	in	ADP
ajst-19207	60	12	source	source	NOUN
ajst-19207	60	13	tweets	tweet	NOUN
ajst-19207	60	14	and	and	CCONJ
ajst-19207	60	15	the	the	DET
ajst-19207	60	16	corresponding	corresponding	ADJ
ajst-19207	60	17	responses	response	NOUN
ajst-19207	60	18	such	such	ADJ
ajst-19207	60	19	as	as	ADP
ajst-19207	60	20	comments	comment	NOUN
ajst-19207	60	21	,	,	PUNCT
ajst-19207	60	22	this	this	DET
ajst-19207	60	23	paper	paper	NOUN
ajst-19207	60	24	employs	employ	VERB
ajst-19207	60	25	the	the	DET
ajst-19207	60	26	gated	gate	VERB
ajst-19207	60	27	recurrent	recurrent	ADJ
ajst-19207	60	28	unit	unit	NOUN
ajst-19207	60	29	(	(	PUNCT
ajst-19207	60	30	gru	gru	PROPN
ajst-19207	60	31	)	)	PUNCT
ajst-19207	60	32	as	as	ADP
ajst-19207	60	33	an	an	DET
ajst-19207	60	34	encoder	encoder	NOUN
ajst-19207	60	35	to	to	PART
ajst-19207	60	36	derive	derive	VERB
ajst-19207	60	37	a	a	DET
ajst-19207	60	38	feature	feature	NOUN
ajst-19207	60	39	vector.[9	vector.[9	NOUN
ajst-19207	60	40	]	]	PUNCT
ajst-19207	60	41	given	give	VERB
ajst-19207	60	42	the	the	DET
ajst-19207	60	43	307	307	NUM
ajst-19207	60	44	variance	variance	NOUN
ajst-19207	60	45	in	in	ADP
ajst-19207	60	46	sequence	sequence	NOUN
ajst-19207	60	47	length	length	NOUN
ajst-19207	60	48	of	of	ADP
ajst-19207	60	49	tweets	tweet	NOUN
ajst-19207	60	50	,	,	PUNCT
ajst-19207	60	51	zero	zero	NUM
ajst-19207	60	52	padding	padding	NOUN
ajst-19207	60	53	is	be	AUX
ajst-19207	60	54	performed	perform	VERB
ajst-19207	60	55	to	to	PART
ajst-19207	60	56	standardize	standardize	VERB
ajst-19207	60	57	the	the	DET
ajst-19207	60	58	length	length	NOUN
ajst-19207	60	59	of	of	ADP
ajst-19207	60	60	each	each	DET
ajst-19207	60	61	sequence	sequence	NOUN
ajst-19207	60	62	.	.	PUNCT
ajst-19207	61	1	the	the	DET
ajst-19207	61	2	text	text	NOUN
ajst-19207	61	3	data	datum	NOUN
ajst-19207	61	4	from	from	ADP
ajst-19207	61	5	tweets	tweet	NOUN
ajst-19207	61	6	is	be	AUX
ajst-19207	61	7	then	then	ADV
ajst-19207	61	8	embedded	embed	VERB
ajst-19207	61	9	into	into	ADP
ajst-19207	61	10	a	a	DET
ajst-19207	61	11	lower	low	ADJ
ajst-19207	61	12	dimension,[50	dimension,[50	NOUN
ajst-19207	61	13	]	]	PUNCT
ajst-19207	61	14	and	and	CCONJ
ajst-19207	61	15	pre	pre	ADJ
ajst-19207	61	16	-	-	ADJ
ajst-19207	61	17	trained	train	VERB
ajst-19207	61	18	word	word	NOUN
ajst-19207	61	19	embeddings	embedding	NOUN
ajst-19207	61	20	specific	specific	ADJ
ajst-19207	61	21	to	to	ADP
ajst-19207	61	22	twitter	twitter	PROPN
ajst-19207	61	23	data	datum	NOUN
ajst-19207	61	24	,	,	PUNCT
ajst-19207	61	25	provided	provide	VERB
ajst-19207	61	26	by	by	ADP
ajst-19207	61	27	the	the	DET
ajst-19207	61	28	glove	glove	NOUN
ajst-19207	61	29	algorithm	algorithm	NOUN
ajst-19207	61	30	,	,	PUNCT
ajst-19207	61	31	are	be	AUX
ajst-19207	61	32	utilized	utilize	VERB
ajst-19207	61	33	.	.	PUNCT
ajst-19207	62	1	[	[	X
ajst-19207	62	2	24	24	NUM
ajst-19207	62	3	]	]	PUNCT
ajst-19207	62	4	these	these	DET
ajst-19207	62	5	embeddings	embedding	NOUN
ajst-19207	62	6	are	be	AUX
ajst-19207	62	7	then	then	ADV
ajst-19207	62	8	fed	feed	VERB
ajst-19207	62	9	into	into	ADP
ajst-19207	62	10	the	the	DET
ajst-19207	62	11	gru	gru	NOUN
ajst-19207	62	12	to	to	PART
ajst-19207	62	13	learn	learn	VERB
ajst-19207	62	14	the	the	DET
ajst-19207	62	15	representation	representation	NOUN
ajst-19207	62	16	of	of	ADP
ajst-19207	62	17	the	the	DET
ajst-19207	62	18	twitter	twitter	NOUN
ajst-19207	62	19	text	text	NOUN
ajst-19207	62	20	content	content	NOUN
ajst-19207	62	21	.	.	PUNCT
ajst-19207	63	1	this	this	DET
ajst-19207	63	2	approach	approach	NOUN
ajst-19207	63	3	facilitates	facilitate	VERB
ajst-19207	63	4	a	a	DET
ajst-19207	63	5	nuanced	nuanced	ADJ
ajst-19207	63	6	understanding	understanding	NOUN
ajst-19207	63	7	of	of	ADP
ajst-19207	63	8	the	the	DET
ajst-19207	63	9	sequential	sequential	ADJ
ajst-19207	63	10	nature	nature	NOUN
ajst-19207	63	11	of	of	ADP
ajst-19207	63	12	the	the	DET
ajst-19207	63	13	text	text	NOUN
ajst-19207	63	14	data	datum	NOUN
ajst-19207	63	15	,	,	PUNCT
ajst-19207	63	16	which	which	PRON
ajst-19207	63	17	is	be	AUX
ajst-19207	63	18	instrumental	instrumental	ADJ
ajst-19207	63	19	in	in	ADP
ajst-19207	63	20	analyzing	analyze	VERB
ajst-19207	63	21	and	and	CCONJ
ajst-19207	63	22	detecting	detect	VERB
ajst-19207	63	23	rumors	rumor	NOUN
ajst-19207	63	24	on	on	ADP
ajst-19207	63	25	social	social	ADJ
ajst-19207	63	26	media	medium	NOUN
ajst-19207	63	27	platforms.[25	platforms.[25	PROPN
ajst-19207	63	28	]	]	PUNCT
ajst-19207	63	29	figure	figure	NOUN
ajst-19207	63	30	2	2	NUM
ajst-19207	63	31	.	.	PUNCT
ajst-19207	64	1	our	our	PRON
ajst-19207	64	2	proposed	propose	VERB
ajst-19207	64	3	model	model	NOUN
ajst-19207	64	4	architecture	architecture	NOUN
ajst-19207	64	5	3.3	3.3	NUM
ajst-19207	64	6	.	.	PUNCT
ajst-19207	65	1	user	user	NOUN
ajst-19207	65	2	correlation	correlation	NOUN
ajst-19207	65	3	representation	representation	NOUN
ajst-19207	65	4	in	in	ADP
ajst-19207	65	5	addressing	address	VERB
ajst-19207	65	6	the	the	DET
ajst-19207	65	7	scenario	scenario	NOUN
ajst-19207	65	8	where	where	SCONJ
ajst-19207	65	9	a	a	DET
ajst-19207	65	10	collective	collective	NOUN
ajst-19207	65	11	of	of	ADP
ajst-19207	65	12	users	user	NOUN
ajst-19207	65	13	may	may	AUX
ajst-19207	65	14	collaborate	collaborate	VERB
ajst-19207	65	15	to	to	PART
ajst-19207	65	16	propagate	propagate	VERB
ajst-19207	65	17	false	false	ADJ
ajst-19207	65	18	claims	claim	NOUN
ajst-19207	65	19	swiftly	swiftly	ADV
ajst-19207	65	20	and	and	CCONJ
ajst-19207	65	21	extensively	extensively	ADV
ajst-19207	65	22	across	across	ADP
ajst-19207	65	23	social	social	ADJ
ajst-19207	65	24	media	medium	NOUN
ajst-19207	65	25	,	,	PUNCT
ajst-19207	65	26	this	this	DET
ajst-19207	65	27	paper	paper	NOUN
ajst-19207	65	28	delves	delve	VERB
ajst-19207	65	29	into	into	ADP
ajst-19207	65	30	exploring	explore	VERB
ajst-19207	65	31	correlations	correlation	NOUN
ajst-19207	65	32	among	among	ADP
ajst-19207	65	33	different	different	ADJ
ajst-19207	65	34	users	user	NOUN
ajst-19207	65	35	and	and	CCONJ
ajst-19207	65	36	their	their	PRON
ajst-19207	65	37	claims	claim	NOUN
ajst-19207	65	38	.	.	PUNCT
ajst-19207	66	1	to	to	PART
ajst-19207	66	2	achieve	achieve	VERB
ajst-19207	66	3	this	this	PRON
ajst-19207	66	4	,	,	PUNCT
ajst-19207	66	5	a	a	DET
ajst-19207	66	6	user	user	NOUN
ajst-19207	66	7	correlation	correlation	NOUN
ajst-19207	66	8	pattern	pattern	NOUN
ajst-19207	66	9	is	be	AUX
ajst-19207	66	10	utilized	utilize	VERB
ajst-19207	66	11	to	to	PART
ajst-19207	66	12	learn	learn	VERB
ajst-19207	66	13	the	the	DET
ajst-19207	66	14	representations	representation	NOUN
ajst-19207	66	15	of	of	ADP
ajst-19207	66	16	source	source	NOUN
ajst-19207	66	17	tweets	tweet	NOUN
ajst-19207	66	18	within	within	ADP
ajst-19207	66	19	a	a	DET
ajst-19207	66	20	user	user	NOUN
ajst-19207	66	21	-	-	PUNCT
ajst-19207	66	22	tweet	tweet	NOUN
ajst-19207	66	23	graph	graph	NOUN
ajst-19207	66	24	.	.	PUNCT
ajst-19207	67	1	a	a	DET
ajst-19207	67	2	bipartite	bipartite	ADJ
ajst-19207	67	3	graph	graph	NOUN
ajst-19207	67	4	is	be	AUX
ajst-19207	67	5	constructed	construct	VERB
ajst-19207	67	6	to	to	PART
ajst-19207	67	7	delineate	delineate	VERB
ajst-19207	67	8	the	the	DET
ajst-19207	67	9	relationship	relationship	NOUN
ajst-19207	67	10	between	between	ADP
ajst-19207	67	11	users	user	NOUN
ajst-19207	67	12	and	and	CCONJ
ajst-19207	67	13	tweets	tweet	NOUN
ajst-19207	67	14	,	,	PUNCT
ajst-19207	67	15	which	which	PRON
ajst-19207	67	16	then	then	ADV
ajst-19207	67	17	serves	serve	VERB
ajst-19207	67	18	as	as	ADP
ajst-19207	67	19	a	a	DET
ajst-19207	67	20	foundation	foundation	NOUN
ajst-19207	67	21	for	for	ADP
ajst-19207	67	22	applying	apply	VERB
ajst-19207	67	23	a	a	DET
ajst-19207	67	24	two	two	NUM
ajst-19207	67	25	-	-	PUNCT
ajst-19207	67	26	layer	layer	NOUN
ajst-19207	67	27	graph	graph	NOUN
ajst-19207	67	28	convolutional	convolutional	ADJ
ajst-19207	67	29	neural	neural	ADJ
ajst-19207	67	30	networks	network	NOUN
ajst-19207	67	31	(	(	PUNCT
ajst-19207	67	32	gcn	gcn	NOUN
ajst-19207	67	33	)	)	PUNCT
ajst-19207	67	34	to	to	PART
ajst-19207	67	35	learn	learn	VERB
ajst-19207	67	36	the	the	DET
ajst-19207	67	37	representations	representation	NOUN
ajst-19207	67	38	of	of	ADP
ajst-19207	67	39	source	source	NOUN
ajst-19207	67	40	tweets	tweet	NOUN
ajst-19207	67	41	.	.	PUNCT
ajst-19207	68	1	to	to	PART
ajst-19207	68	2	facilitate	facilitate	VERB
ajst-19207	68	3	the	the	DET
ajst-19207	68	4	scalability	scalability	NOUN
ajst-19207	68	5	of	of	ADP
ajst-19207	68	6	the	the	DET
ajst-19207	68	7	algorithm	algorithm	NOUN
ajst-19207	68	8	,	,	PUNCT
ajst-19207	68	9	especially	especially	ADV
ajst-19207	68	10	in	in	ADP
ajst-19207	68	11	the	the	DET
ajst-19207	68	12	context[19	context[19	NOUN
ajst-19207	68	13	]	]	PUNCT
ajst-19207	68	14	of	of	ADP
ajst-19207	68	15	large	large	ADJ
ajst-19207	68	16	-	-	PUNCT
ajst-19207	68	17	scale	scale	NOUN
ajst-19207	68	18	graphs	graph	NOUN
ajst-19207	68	19	encompassing	encompass	VERB
ajst-19207	68	20	hundreds	hundred	NOUN
ajst-19207	68	21	of	of	ADP
ajst-19207	68	22	thousands	thousand	NOUN
ajst-19207	68	23	of	of	ADP
ajst-19207	68	24	nodes	node	NOUN
ajst-19207	68	25	,	,	PUNCT
ajst-19207	68	26	a	a	DET
ajst-19207	68	27	subgraph	subgraph	NOUN
ajst-19207	68	28	approach	approach	NOUN
ajst-19207	68	29	is	be	AUX
ajst-19207	68	30	adopted	adopt	VERB
ajst-19207	68	31	.	.	PUNCT
ajst-19207	69	1	by	by	ADP
ajst-19207	69	2	focusing	focus	VERB
ajst-19207	69	3	on	on	ADP
ajst-19207	69	4	a	a	DET
ajst-19207	69	5	subgraph	subgraph	NOUN
ajst-19207	69	6	with	with	ADP
ajst-19207	69	7	k	k	ADJ
ajst-19207	69	8	-	-	PUNCT
ajst-19207	69	9	hop	hop	ADJ
ajst-19207	69	10	neighboring	neighboring	NOUN
ajst-19207	69	11	nodes	node	NOUN
ajst-19207	69	12	of	of	ADP
ajst-19207	69	13	source	source	NOUN
ajst-19207	69	14	tweets	tweet	NOUN
ajst-19207	69	15	as	as	ADP
ajst-19207	69	16	input	input	NOUN
ajst-19207	69	17	for	for	ADP
ajst-19207	69	18	the	the	DET
ajst-19207	69	19	gcn	gcn	ADJ
ajst-19207	69	20	model	model	NOUN
ajst-19207	69	21	,	,	PUNCT
ajst-19207	69	22	the	the	DET
ajst-19207	69	23	training	training	NOUN
ajst-19207	69	24	time	time	NOUN
ajst-19207	69	25	for	for	ADP
ajst-19207	69	26	graph	graph	NOUN
ajst-19207	69	27	-	-	PUNCT
ajst-19207	69	28	based	base	VERB
ajst-19207	69	29	rumor	rumor	NOUN
ajst-19207	69	30	detection	detection	NOUN
ajst-19207	69	31	is	be	AUX
ajst-19207	69	32	significantly	significantly	ADV
ajst-19207	69	33	reduced[57	reduced[57	VERB
ajst-19207	69	34	]	]	X
ajst-19207	69	35	,	,	PUNCT
ajst-19207	69	36	making	make	VERB
ajst-19207	69	37	the	the	DET
ajst-19207	69	38	methodology	methodology	NOUN
ajst-19207	69	39	more	more	ADV
ajst-19207	69	40	efficient	efficient	ADJ
ajst-19207	69	41	and	and	CCONJ
ajst-19207	69	42	applicable	applicable	ADJ
ajst-19207	69	43	to	to	ADP
ajst-19207	69	44	large	large	ADJ
ajst-19207	69	45	-	-	PUNCT
ajst-19207	69	46	scale	scale	NOUN
ajst-19207	69	47	scenarios.[35	scenarios.[35	NOUN
ajst-19207	69	48	]	]	PUNCT
ajst-19207	69	49	this	this	DET
ajst-19207	69	50	streamlined	streamlined	ADJ
ajst-19207	69	51	approach	approach	NOUN
ajst-19207	69	52	aims	aim	VERB
ajst-19207	69	53	to	to	PART
ajst-19207	69	54	enhance	enhance	VERB
ajst-19207	69	55	the	the	DET
ajst-19207	69	56	practicality	practicality	NOUN
ajst-19207	69	57	and	and	CCONJ
ajst-19207	69	58	effectiveness	effectiveness	NOUN
ajst-19207	69	59	of	of	ADP
ajst-19207	69	60	the	the	DET
ajst-19207	69	61	rumor	rumor	NOUN
ajst-19207	69	62	detection	detection	NOUN
ajst-19207	69	63	process	process	NOUN
ajst-19207	69	64	,	,	PUNCT
ajst-19207	69	65	especially	especially	ADV
ajst-19207	69	66	in	in	ADP
ajst-19207	69	67	a	a	DET
ajst-19207	69	68	large	large	ADJ
ajst-19207	69	69	-	-	PUNCT
ajst-19207	69	70	scale	scale	NOUN
ajst-19207	69	71	,	,	PUNCT
ajst-19207	69	72	real	real	ADJ
ajst-19207	69	73	-	-	PUNCT
ajst-19207	69	74	world	world	NOUN
ajst-19207	69	75	social	social	ADJ
ajst-19207	69	76	media	medium	NOUN
ajst-19207	69	77	environment.[31	environment.[31	NOUN
ajst-19207	69	78	]	]	X
ajst-19207	69	79	3.4	3.4	NUM
ajst-19207	69	80	.	.	PUNCT
ajst-19207	70	1	information	information	NOUN
ajst-19207	70	2	propagation	propagation	NOUN
ajst-19207	70	3	representation	representation	NOUN
ajst-19207	70	4	in	in	ADP
ajst-19207	70	5	order	order	NOUN
ajst-19207	70	6	to	to	PART
ajst-19207	70	7	understand	understand	VERB
ajst-19207	70	8	the	the	DET
ajst-19207	70	9	flow	flow	NOUN
ajst-19207	70	10	of	of	ADP
ajst-19207	70	11	source	source	NOUN
ajst-19207	70	12	tweets	tweet	NOUN
ajst-19207	70	13	to	to	ADP
ajst-19207	70	14	their	their	PRON
ajst-19207	70	15	respective	respective	ADJ
ajst-19207	70	16	child	child	NOUN
ajst-19207	70	17	nodes	node	NOUN
ajst-19207	70	18	,	,	PUNCT
ajst-19207	70	19	a	a	DET
ajst-19207	70	20	deep	deep	ADJ
ajst-19207	70	21	learning	learning	NOUN
ajst-19207	70	22	model	model	NOUN
ajst-19207	70	23	rooted	root	VERB
ajst-19207	70	24	in	in	ADP
ajst-19207	70	25	a	a	DET
ajst-19207	70	26	tree	tree	NOUN
ajst-19207	70	27	propagation	propagation	NOUN
ajst-19207	70	28	structure	structure	NOUN
ajst-19207	70	29	is	be	AUX
ajst-19207	70	30	devised	devise	VERB
ajst-19207	70	31	to	to	PART
ajst-19207	70	32	learn	learn	VERB
ajst-19207	70	33	their	their	PRON
ajst-19207	70	34	representations	representation	NOUN
ajst-19207	70	35	.	.	PUNCT
ajst-19207	71	1	the	the	DET
ajst-19207	71	2	methodology	methodology	NOUN
ajst-19207	71	3	employed	employ	VERB
ajst-19207	71	4	draws	draw	VERB
ajst-19207	71	5	parallels	parallel	NOUN
ajst-19207	71	6	to	to	ADP
ajst-19207	71	7	a	a	DET
ajst-19207	71	8	referenced	referenced	ADJ
ajst-19207	71	9	approach	approach	NOUN
ajst-19207	71	10	for	for	ADP
ajst-19207	71	11	constructing	construct	VERB
ajst-19207	71	12	a	a	DET
ajst-19207	71	13	top	top	ADJ
ajst-19207	71	14	-	-	PUNCT
ajst-19207	71	15	down	down	ADP
ajst-19207	71	16	tree	tree	NOUN
ajst-19207	71	17	concerning	concern	VERB
ajst-19207	71	18	a	a	DET
ajst-19207	71	19	source	source	NOUN
ajst-19207	71	20	tweet	tweet	NOUN
ajst-19207	71	21	and	and	CCONJ
ajst-19207	71	22	its	its	PRON
ajst-19207	71	23	ensuing	ensue	VERB
ajst-19207	71	24	comments	comment	NOUN
ajst-19207	71	25	.	.	PUNCT
ajst-19207	72	1	the	the	DET
ajst-19207	72	2	merit	merit	NOUN
ajst-19207	72	3	of	of	ADP
ajst-19207	72	4	utilizing	utilize	VERB
ajst-19207	72	5	a	a	DET
ajst-19207	72	6	top	top	ADJ
ajst-19207	72	7	-	-	PUNCT
ajst-19207	72	8	down	down	ADP
ajst-19207	72	9	tree	tree	NOUN
ajst-19207	72	10	lies	lie	VERB
ajst-19207	72	11	in	in	ADP
ajst-19207	72	12	its	its	PRON
ajst-19207	72	13	capability	capability	NOUN
ajst-19207	72	14	to	to	PART
ajst-19207	72	15	aptly	aptly	ADV
ajst-19207	72	16	capture	capture	VERB
ajst-19207	72	17	the	the	DET
ajst-19207	72	18	causal	causal	NOUN
ajst-19207	72	19	features	feature	NOUN
ajst-19207	72	20	intrinsic	intrinsic	ADJ
ajst-19207	72	21	to	to	ADP
ajst-19207	72	22	a	a	DET
ajst-19207	72	23	rumor	rumor	NOUN
ajst-19207	72	24	propagation	propagation	NOUN
ajst-19207	72	25	thread	thread	NOUN
ajst-19207	72	26	.	.	PUNCT
ajst-19207	73	1	analogous	analogous	ADJ
ajst-19207	73	2	to	to	ADP
ajst-19207	73	3	the	the	DET
ajst-19207	73	4	approach	approach	NOUN
ajst-19207	73	5	taken	take	VERB
ajst-19207	73	6	for	for	ADP
ajst-19207	73	7	user	user	NOUN
ajst-19207	73	8	correlation	correlation	NOUN
ajst-19207	73	9	representation	representation	NOUN
ajst-19207	73	10	,	,	PUNCT
ajst-19207	73	11	a	a	DET
ajst-19207	73	12	graph	graph	NOUN
ajst-19207	73	13	convolutional	convolutional	ADJ
ajst-19207	73	14	neural	neural	ADJ
ajst-19207	73	15	networks	network	NOUN
ajst-19207	73	16	(	(	PUNCT
ajst-19207	73	17	gcn	gcn	NOUN
ajst-19207	73	18	)	)	PUNCT
ajst-19207	73	19	with	with	SCONJ
ajst-19207	73	20	a	a	DET
ajst-19207	73	21	directional	directional	ADJ
ajst-19207	73	22	graph	graph	NOUN
ajst-19207	73	23	is	be	AUX
ajst-19207	73	24	adopted	adopt	VERB
ajst-19207	73	25	to	to	PART
ajst-19207	73	26	learn	learn	VERB
ajst-19207	73	27	the	the	DET
ajst-19207	73	28	representations	representation	NOUN
ajst-19207	73	29	of	of	ADP
ajst-19207	73	30	information	information	NOUN
ajst-19207	73	31	propagation	propagation	NOUN
ajst-19207	73	32	.	.	PUNCT
ajst-19207	74	1	this	this	DET
ajst-19207	74	2	method	method	NOUN
ajst-19207	74	3	is	be	AUX
ajst-19207	74	4	geared	gear	VERB
ajst-19207	74	5	towards	towards	ADP
ajst-19207	74	6	effectively	effectively	ADV
ajst-19207	74	7	understanding	understand	VERB
ajst-19207	74	8	the	the	DET
ajst-19207	74	9	dynamics	dynamic	NOUN
ajst-19207	74	10	of	of	ADP
ajst-19207	74	11	rumor	rumor	NOUN
ajst-19207	74	12	spread	spread	NOUN
ajst-19207	74	13	and	and	CCONJ
ajst-19207	74	14	the	the	DET
ajst-19207	74	15	interactions	interaction	NOUN
ajst-19207	74	16	within	within	ADP
ajst-19207	74	17	a	a	DET
ajst-19207	74	18	thread	thread	NOUN
ajst-19207	74	19	,	,	PUNCT
ajst-19207	74	20	which	which	PRON
ajst-19207	74	21	is	be	AUX
ajst-19207	74	22	crucial	crucial	ADJ
ajst-19207	74	23	for	for	ADP
ajst-19207	74	24	accurate	accurate	ADJ
ajst-19207	74	25	rumor	rumor	NOUN
ajst-19207	74	26	detection.[42	detection.[42	PROPN
ajst-19207	74	27	]	]	X
ajst-19207	74	28	3.5	3.5	NUM
ajst-19207	74	29	.	.	PUNCT
ajst-19207	75	1	rumor	rumor	NOUN
ajst-19207	75	2	classification	classification	NOUN
ajst-19207	75	3	with	with	ADP
ajst-19207	75	4	joint	joint	ADJ
ajst-19207	75	5	representations	representation	NOUN
ajst-19207	75	6	the	the	DET
ajst-19207	75	7	methodology	methodology	NOUN
ajst-19207	75	8	employs	employ	VERB
ajst-19207	75	9	the	the	DET
ajst-19207	75	10	combined	combine	VERB
ajst-19207	75	11	representations	representation	NOUN
ajst-19207	75	12	of	of	ADP
ajst-19207	75	13	user	user	NOUN
ajst-19207	75	14	correlation	correlation	NOUN
ajst-19207	75	15	and	and	CCONJ
ajst-19207	75	16	information	information	NOUN
ajst-19207	75	17	propagation	propagation	NOUN
ajst-19207	75	18	to	to	PART
ajst-19207	75	19	facilitate	facilitate	VERB
ajst-19207	75	20	rumor	rumor	NOUN
ajst-19207	75	21	detection	detection	NOUN
ajst-19207	75	22	.	.	PUNCT
ajst-19207	76	1	initially	initially	ADV
ajst-19207	76	2	,	,	PUNCT
ajst-19207	76	3	the	the	DET
ajst-19207	76	4	representations	representation	NOUN
ajst-19207	76	5	concerning	concern	VERB
ajst-19207	76	6	user	user	NOUN
ajst-19207	76	7	correlation	correlation	NOUN
ajst-19207	76	8	and	and	CCONJ
ajst-19207	76	9	information	information	NOUN
ajst-19207	76	10	propagation	propagation	NOUN
ajst-19207	76	11	are	be	AUX
ajst-19207	76	12	concatenated	concatenate	VERB
ajst-19207	76	13	.	.	PUNCT
ajst-19207	77	1	following	follow	VERB
ajst-19207	77	2	this	this	DET
ajst-19207	77	3	step	step	NOUN
ajst-19207	77	4	,	,	PUNCT
ajst-19207	77	5	the	the	DET
ajst-19207	77	6	merged	merge	VERB
ajst-19207	77	7	representations	representation	NOUN
ajst-19207	77	8	are	be	AUX
ajst-19207	77	9	fed	feed	VERB
ajst-19207	77	10	into	into	ADP
ajst-19207	77	11	fully	fully	ADV
ajst-19207	77	12	connected	connect	VERB
ajst-19207	77	13	layers	layer	NOUN
ajst-19207	77	14	,	,	PUNCT
ajst-19207	77	15	culminating	culminate	VERB
ajst-19207	77	16	in	in	ADP
ajst-19207	77	17	a	a	DET
ajst-19207	77	18	softmax	softmax	NOUN
ajst-19207	77	19	layer.[49	layer.[49	PROPN
ajst-19207	77	20	]	]	PUNCT
ajst-19207	77	21	this	this	DET
ajst-19207	77	22	structure	structure	NOUN
ajst-19207	77	23	aids	aid	VERB
ajst-19207	77	24	in	in	ADP
ajst-19207	77	25	categorizing	categorize	VERB
ajst-19207	77	26	the	the	DET
ajst-19207	77	27	rumors	rumor	NOUN
ajst-19207	77	28	into	into	ADP
ajst-19207	77	29	distinct	distinct	ADJ
ajst-19207	77	30	classifications	classification	NOUN
ajst-19207	77	31	.	.	PUNCT
ajst-19207	78	1	by	by	ADP
ajst-19207	78	2	harnessing	harness	VERB
ajst-19207	78	3	both	both	CCONJ
ajst-19207	78	4	the	the	DET
ajst-19207	78	5	interactions	interaction	NOUN
ajst-19207	78	6	among	among	ADP
ajst-19207	78	7	users	user	NOUN
ajst-19207	78	8	and	and	CCONJ
ajst-19207	78	9	the	the	DET
ajst-19207	78	10	dissemination	dissemination	NOUN
ajst-19207	78	11	patterns	pattern	NOUN
ajst-19207	78	12	of	of	ADP
ajst-19207	78	13	information	information	NOUN
ajst-19207	78	14	,	,	PUNCT
ajst-19207	78	15	this	this	DET
ajst-19207	78	16	procedure	procedure	NOUN
ajst-19207	78	17	aspires	aspire	VERB
ajst-19207	78	18	to	to	PART
ajst-19207	78	19	enhance	enhance	VERB
ajst-19207	78	20	the	the	DET
ajst-19207	78	21	accuracy	accuracy	NOUN
ajst-19207	78	22	of	of	ADP
ajst-19207	78	23	rumor	rumor	NOUN
ajst-19207	78	24	detection	detection	NOUN
ajst-19207	78	25	across	across	ADP
ajst-19207	78	26	social	social	ADJ
ajst-19207	78	27	media	medium	NOUN
ajst-19207	78	28	platforms.[60	platforms.[60	NOUN
ajst-19207	78	29	]	]	PUNCT
ajst-19207	78	30	3.6	3.6	NUM
ajst-19207	78	31	.	.	PUNCT
ajst-19207	79	1	model	model	NOUN
ajst-19207	79	2	training	train	VERB
ajst-19207	79	3	the	the	DET
ajst-19207	79	4	proposed	propose	VERB
ajst-19207	79	5	model	model	NOUN
ajst-19207	79	6	is	be	AUX
ajst-19207	79	7	trained	train	VERB
ajst-19207	79	8	by	by	ADP
ajst-19207	79	9	minimizing	minimize	VERB
ajst-19207	79	10	the	the	DET
ajst-19207	79	11	crossentropy	crossentropy	NOUN
ajst-19207	79	12	loss	loss	NOUN
ajst-19207	79	13	between	between	ADP
ajst-19207	79	14	the	the	DET
ajst-19207	79	15	predictions	prediction	NOUN
ajst-19207	79	16	and	and	CCONJ
ajst-19207	79	17	the	the	DET
ajst-19207	79	18	ground	ground	NOUN
ajst-19207	79	19	truth	truth	NOUN
ajst-19207	79	20	.	.	PUNCT
ajst-19207	80	1	during	during	ADP
ajst-19207	80	2	training	training	NOUN
ajst-19207	80	3	,	,	PUNCT
ajst-19207	80	4	the	the	DET
ajst-19207	80	5	model	model	NOUN
ajst-19207	80	6	parameters	parameter	NOUN
ajst-19207	80	7	are	be	AUX
ajst-19207	80	8	updated	update	VERB
ajst-19207	80	9	using	use	VERB
ajst-19207	80	10	back	back	ADP
ajst-19207	80	11	propagation	propagation	NOUN
ajst-19207	80	12	until	until	SCONJ
ajst-19207	80	13	the	the	DET
ajst-19207	80	14	loss	loss	NOUN
ajst-19207	80	15	converges	converge	VERB
ajst-19207	80	16	or	or	CCONJ
ajst-19207	80	17	the	the	DET
ajst-19207	80	18	maximum	maximum	ADJ
ajst-19207	80	19	iterations	iteration	NOUN
ajst-19207	80	20	are	be	AUX
ajst-19207	80	21	met.[48	met.[48	X
ajst-19207	80	22	]	]	PUNCT
ajst-19207	80	23	to	to	PART
ajst-19207	80	24	summarize	summarize	VERB
ajst-19207	80	25	,	,	PUNCT
ajst-19207	80	26	in	in	ADP
ajst-19207	80	27	this	this	DET
ajst-19207	80	28	system	system	NOUN
ajst-19207	80	29	,	,	PUNCT
ajst-19207	80	30	we	we	PRON
ajst-19207	80	31	first	first	ADV
ajst-19207	80	32	compute	compute	VERB
ajst-19207	80	33	the	the	DET
ajst-19207	80	34	representations	representation	NOUN
ajst-19207	80	35	of	of	ADP
ajst-19207	80	36	source	source	NOUN
ajst-19207	80	37	tweets	tweet	NOUN
ajst-19207	80	38	from	from	ADP
ajst-19207	80	39	both	both	PRON
ajst-19207	80	40	user	user	NOUN
ajst-19207	80	41	correlation	correlation	NOUN
ajst-19207	80	42	and	and	CCONJ
ajst-19207	80	43	information	information	NOUN
ajst-19207	80	44	propagation	propagation	NOUN
ajst-19207	80	45	,	,	PUNCT
ajst-19207	80	46	and	and	CCONJ
ajst-19207	80	47	then	then	ADV
ajst-19207	80	48	feed	feed	VERB
ajst-19207	80	49	them	they	PRON
ajst-19207	80	50	into	into	ADP
ajst-19207	80	51	fully	fully	ADV
ajst-19207	80	52	connected	connected	ADJ
ajst-19207	80	53	layers	layer	NOUN
ajst-19207	80	54	to	to	PART
ajst-19207	80	55	classify	classify	VERB
ajst-19207	80	56	the	the	DET
ajst-19207	80	57	source	source	NOUN
ajst-19207	80	58	tweets	tweet	NOUN
ajst-19207	80	59	.	.	PUNCT
ajst-19207	81	1	4	4	X
ajst-19207	81	2	.	.	X
ajst-19207	81	3	evaluation	evaluation	NOUN
ajst-19207	81	4	in	in	ADP
ajst-19207	81	5	this	this	DET
ajst-19207	81	6	section	section	NOUN
ajst-19207	81	7	,	,	PUNCT
ajst-19207	81	8	extensive	extensive	ADJ
ajst-19207	81	9	experiments	experiment	NOUN
ajst-19207	81	10	are	be	AUX
ajst-19207	81	11	carried	carry	VERB
ajst-19207	81	12	out	out	ADP
ajst-19207	81	13	to	to	PART
ajst-19207	81	14	evaluate	evaluate	VERB
ajst-19207	81	15	the	the	DET
ajst-19207	81	16	performance	performance	NOUN
ajst-19207	81	17	of	of	ADP
ajst-19207	81	18	the	the	DET
ajst-19207	81	19	proposed	propose	VERB
ajst-19207	81	20	model	model	NOUN
ajst-19207	81	21	on	on	ADP
ajst-19207	81	22	two	two	NUM
ajst-19207	81	23	benchmark	benchmark	ADJ
ajst-19207	81	24	datasets	dataset	NOUN
ajst-19207	81	25	,	,	PUNCT
ajst-19207	81	26	twitter15	twitter15	NOUN
ajst-19207	81	27	and	and	CCONJ
ajst-19207	81	28	twitter	twitter	NOUN
ajst-19207	81	29	16	16	NUM
ajst-19207	81	30	.	.	PUNCT
ajst-19207	82	1	first	first	ADV
ajst-19207	82	2	of	of	ADP
ajst-19207	82	3	all	all	PRON
ajst-19207	82	4	,	,	PUNCT
ajst-19207	82	5	we	we	PRON
ajst-19207	82	6	compare	compare	VERB
ajst-19207	82	7	the	the	DET
ajst-19207	82	8	detection	detection	NOUN
ajst-19207	82	9	accuracy	accuracy	NOUN
ajst-19207	82	10	of	of	ADP
ajst-19207	82	11	our	our	PRON
ajst-19207	82	12	method	method	NOUN
ajst-19207	82	13	with	with	ADP
ajst-19207	82	14	the	the	DET
ajst-19207	82	15	baseline	baseline	ADJ
ajst-19207	82	16	methods	method	NOUN
ajst-19207	82	17	.	.	PUNCT
ajst-19207	83	1	in	in	ADP
ajst-19207	83	2	order	order	NOUN
ajst-19207	83	3	to	to	PART
ajst-19207	83	4	demonstrate	demonstrate	VERB
ajst-19207	83	5	the	the	DET
ajst-19207	83	6	robustness	robustness	NOUN
ajst-19207	83	7	of	of	ADP
ajst-19207	83	8	our	our	PRON
ajst-19207	83	9	method	method	NOUN
ajst-19207	83	10	,	,	PUNCT
ajst-19207	83	11	we	we	PRON
ajst-19207	83	12	further	far	ADV
ajst-19207	83	13	analyze	analyze	VERB
ajst-19207	83	14	the	the	DET
ajst-19207	83	15	cost	cost	NOUN
ajst-19207	83	16	of	of	ADP
ajst-19207	83	17	adversarial	adversarial	ADJ
ajst-19207	83	18	attack	attack	NOUN
ajst-19207	83	19	.	.	PUNCT
ajst-19207	84	1	also	also	ADV
ajst-19207	84	2	,	,	PUNCT
ajst-19207	84	3	we	we	PRON
ajst-19207	84	4	demonstrate	demonstrate	VERB
ajst-19207	84	5	the	the	DET
ajst-19207	84	6	good	good	ADJ
ajst-19207	84	7	performance	performance	NOUN
ajst-19207	84	8	of	of	ADP
ajst-19207	84	9	the	the	DET
ajst-19207	84	10	proposed	propose	VERB
ajst-19207	84	11	method	method	NOUN
ajst-19207	84	12	for	for	ADP
ajst-19207	84	13	early	early	ADJ
ajst-19207	84	14	rumor	rumor	NOUN
ajst-19207	84	15	detection.[58	detection.[58	NOUN
ajst-19207	84	16	]	]	PUNCT
ajst-19207	84	17	finally	finally	ADV
ajst-19207	84	18	,	,	PUNCT
ajst-19207	84	19	we	we	PRON
ajst-19207	84	20	conduct	conduct	VERB
ajst-19207	84	21	ablation	ablation	NOUN
ajst-19207	84	22	studies	study	NOUN
ajst-19207	84	23	to	to	PART
ajst-19207	84	24	compare	compare	VERB
ajst-19207	84	25	model	model	NOUN
ajst-19207	84	26	with	with	ADP
ajst-19207	84	27	its	its	PRON
ajst-19207	84	28	variants	variant	NOUN
ajst-19207	84	29	.	.	PUNCT
ajst-19207	85	1	4.1	4.1	NUM
ajst-19207	85	2	.	.	PUNCT
ajst-19207	85	3	dataset	dataset	VERB
ajst-19207	85	4	to	to	PART
ajst-19207	85	5	evaluate	evaluate	VERB
ajst-19207	85	6	the	the	DET
ajst-19207	85	7	performance	performance	NOUN
ajst-19207	85	8	of	of	ADP
ajst-19207	85	9	the	the	DET
ajst-19207	85	10	proposed	propose	VERB
ajst-19207	85	11	model	model	NOUN
ajst-19207	85	12	,	,	PUNCT
ajst-19207	85	13	we	we	PRON
ajst-19207	85	14	conduct	conduct	VERB
ajst-19207	85	15	extensive	extensive	ADJ
ajst-19207	85	16	experiments	experiment	NOUN
ajst-19207	85	17	on	on	ADP
ajst-19207	85	18	two	two	NUM
ajst-19207	85	19	public	public	ADJ
ajst-19207	85	20	twitter	twitter	NOUN
ajst-19207	85	21	datasets	dataset	NOUN
ajst-19207	85	22	,	,	PUNCT
ajst-19207	85	23	twitter15	twitter15	NOUN
ajst-19207	85	24	and	and	CCONJ
ajst-19207	85	25	twitter16	twitter16	NOUN
ajst-19207	85	26	.	.	PUNCT
ajst-19207	86	1	these	these	DET
ajst-19207	86	2	two	two	NUM
ajst-19207	86	3	datasets	dataset	NOUN
ajst-19207	86	4	contain	contain	VERB
ajst-19207	86	5	four	four	NUM
ajst-19207	86	6	labels	label	NOUN
ajst-19207	86	7	:	:	PUNCT
ajst-19207	86	8	non	non	ADJ
ajst-19207	86	9	-	-	ADJ
ajst-19207	86	10	rumor	rumor	ADJ
ajst-19207	86	11	(	(	PUNCT
ajst-19207	86	12	n	n	CCONJ
ajst-19207	86	13	)	)	PUNCT
ajst-19207	86	14	,	,	PUNCT
ajst-19207	86	15	false	false	ADJ
ajst-19207	86	16	rumor	rumor	NOUN
ajst-19207	86	17	(	(	PUNCT
ajst-19207	86	18	f	f	NOUN
ajst-19207	86	19	)	)	PUNCT
ajst-19207	86	20	,	,	PUNCT
ajst-19207	86	21	true	true	ADJ
ajst-19207	86	22	rumor	rumor	NOUN
ajst-19207	86	23	(	(	PUNCT
ajst-19207	86	24	t	t	NOUN
ajst-19207	86	25	)	)	PUNCT
ajst-19207	86	26	,	,	PUNCT
ajst-19207	86	27	and	and	CCONJ
ajst-19207	86	28	unverified	unverified	ADJ
ajst-19207	86	29	rumor	rumor	NOUN
ajst-19207	86	30	(	(	PUNCT
ajst-19207	86	31	u	u	NOUN
ajst-19207	86	32	)	)	PUNCT
ajst-19207	86	33	.	.	PUNCT
ajst-19207	87	1	to	to	PART
ajst-19207	87	2	construct	construct	VERB
ajst-19207	87	3	a	a	DET
ajst-19207	87	4	completely	completely	ADV
ajst-19207	87	5	connected	connect	VERB
ajst-19207	87	6	user	user	NOUN
ajst-19207	87	7	-	-	PUNCT
ajst-19207	87	8	tweet	tweet	NOUN
ajst-19207	87	9	graph	graph	NOUN
ajst-19207	87	10	,	,	PUNCT
ajst-19207	87	11	we	we	PRON
ajst-19207	87	12	choose	choose	VERB
ajst-19207	87	13	users	user	NOUN
ajst-19207	87	14	that	that	PRON
ajst-19207	87	15	report	report	VERB
ajst-19207	87	16	at	at	ADV
ajst-19207	87	17	least	least	ADV
ajst-19207	87	18	two	two	NUM
ajst-19207	87	19	source	source	NOUN
ajst-19207	87	20	tweets	tweet	NOUN
ajst-19207	87	21	or	or	CCONJ
ajst-19207	87	22	responsive	responsive	ADJ
ajst-19207	87	23	post	post	NOUN
ajst-19207	87	24	.	.	PUNCT
ajst-19207	88	1	since	since	SCONJ
ajst-19207	88	2	user	user	NOUN
ajst-19207	88	3	profiles	profile	NOUN
ajst-19207	88	4	are	be	AUX
ajst-19207	88	5	not	not	PART
ajst-19207	88	6	available	available	ADJ
ajst-19207	88	7	in	in	ADP
ajst-19207	88	8	the	the	DET
ajst-19207	88	9	original	original	ADJ
ajst-19207	88	10	datasets	dataset	NOUN
ajst-19207	88	11	,	,	PUNCT
ajst-19207	88	12	we	we	PRON
ajst-19207	88	13	collect	collect	VERB
ajst-19207	88	14	them	they	PRON
ajst-19207	88	15	from	from	ADP
ajst-19207	88	16	twitter	twitter	PROPN
ajst-19207	88	17	api	api	NOUN
ajst-19207	88	18	1	1	NUM
ajst-19207	88	19	.	.	PUNCT
ajst-19207	88	20	table	table	NOUN
ajst-19207	88	21	1	1	NUM
ajst-19207	88	22	illustrates	illustrate	VERB
ajst-19207	88	23	the	the	DET
ajst-19207	88	24	statistics	statistic	NOUN
ajst-19207	88	25	of	of	ADP
ajst-19207	88	26	the	the	DET
ajst-19207	88	27	two	two	NUM
ajst-19207	88	28	benchmark	benchmark	ADJ
ajst-19207	88	29	datasets.[61	datasets.[61	NOUN
ajst-19207	88	30	]	]	PUNCT
ajst-19207	88	31	note	note	VERB
ajst-19207	88	32	that	that	SCONJ
ajst-19207	88	33	,	,	PUNCT
ajst-19207	88	34	the	the	DET
ajst-19207	88	35	total	total	ADJ
ajst-19207	88	36	number	number	NOUN
ajst-19207	88	37	of	of	ADP
ajst-19207	88	38	source	source	NOUN
ajst-19207	88	39	tweets	tweet	NOUN
ajst-19207	88	40	in	in	ADP
ajst-19207	88	41	this	this	DET
ajst-19207	88	42	paper	paper	NOUN
ajst-19207	88	43	is	be	AUX
ajst-19207	88	44	less	less	ADJ
ajst-19207	88	45	than	than	ADP
ajst-19207	88	46	that	that	PRON
ajst-19207	88	47	in	in	ADP
ajst-19207	88	48	the	the	DET
ajst-19207	88	49	original	original	ADJ
ajst-19207	88	50	datasets	dataset	NOUN
ajst-19207	88	51	,	,	PUNCT
ajst-19207	88	52	308	308	NUM
ajst-19207	88	53	because	because	SCONJ
ajst-19207	88	54	some	some	DET
ajst-19207	88	55	source	source	NOUN
ajst-19207	88	56	tweets	tweet	NOUN
ajst-19207	88	57	and	and	CCONJ
ajst-19207	88	58	users	user	NOUN
ajst-19207	88	59	are	be	AUX
ajst-19207	88	60	suspended	suspend	VERB
ajst-19207	88	61	at	at	ADP
ajst-19207	88	62	the	the	DET
ajst-19207	88	63	time	time	NOUN
ajst-19207	88	64	of	of	ADP
ajst-19207	88	65	collecting	collect	VERB
ajst-19207	88	66	data[26	data[26	NOUN
ajst-19207	88	67	]	]	PUNCT
ajst-19207	88	68	from	from	ADP
ajst-19207	88	69	twitter	twitter	NOUN
ajst-19207	88	70	this	this	DET
ajst-19207	88	71	year	year	NOUN
ajst-19207	88	72	.	.	PUNCT
ajst-19207	89	1	like	like	ADP
ajst-19207	89	2	the	the	DET
ajst-19207	89	3	previous	previous	ADJ
ajst-19207	89	4	studies	study	NOUN
ajst-19207	89	5	,	,	PUNCT
ajst-19207	89	6	we	we	PRON
ajst-19207	89	7	split	split	VERB
ajst-19207	89	8	the	the	DET
ajst-19207	89	9	datasets	dataset	NOUN
ajst-19207	89	10	into	into	ADP
ajst-19207	89	11	training	training	NOUN
ajst-19207	89	12	data	datum	NOUN
ajst-19207	89	13	and	and	CCONJ
ajst-19207	89	14	testing	testing	NOUN
ajst-19207	89	15	data	datum	NOUN
ajst-19207	89	16	with	with	ADP
ajst-19207	89	17	80	80	NUM
ajst-19207	89	18	%	%	NOUN
ajst-19207	89	19	and	and	CCONJ
ajst-19207	89	20	20	20	NUM
ajst-19207	89	21	%	%	NOUN
ajst-19207	89	22	,	,	PUNCT
ajst-19207	89	23	respectively	respectively	ADV
ajst-19207	89	24	.	.	PUNCT
ajst-19207	90	1	in	in	ADP
ajst-19207	90	2	addition	addition	NOUN
ajst-19207	90	3	,	,	PUNCT
ajst-19207	90	4	to	to	PART
ajst-19207	90	5	better	well	ADV
ajst-19207	90	6	evaluate	evaluate	VERB
ajst-19207	90	7	the	the	DET
ajst-19207	90	8	performance	performance	NOUN
ajst-19207	90	9	of	of	ADP
ajst-19207	90	10	our	our	PRON
ajst-19207	90	11	method	method	NOUN
ajst-19207	90	12	,	,	PUNCT
ajst-19207	90	13	we	we	PRON
ajst-19207	90	14	adopt	adopt	VERB
ajst-19207	90	15	𝑘fold	𝑘fold	PROPN
ajst-19207	90	16	(	(	PUNCT
ajst-19207	90	17	𝑘	𝑘	NOUN
ajst-19207	90	18	=	=	SYM
ajst-19207	90	19	5	5	NUM
ajst-19207	90	20	)	)	PUNCT
ajst-19207	90	21	cross	cross	ADJ
ajst-19207	90	22	-	-	ADJ
ajst-19207	90	23	validation	validation	ADJ
ajst-19207	90	24	method	method	NOUN
ajst-19207	90	25	to	to	PART
ajst-19207	90	26	conduct	conduct	VERB
ajst-19207	90	27	experiments	experiment	NOUN
ajst-19207	90	28	in	in	ADP
ajst-19207	90	29	this	this	DET
ajst-19207	90	30	paper	paper	NOUN
ajst-19207	90	31	.	.	PUNCT
ajst-19207	91	1	table	table	NOUN
ajst-19207	91	2	1	1	NUM
ajst-19207	91	3	.	.	PUNCT
ajst-19207	92	1	twitter	twitter	NOUN
ajst-19207	92	2	datasets	dataset	NOUN
ajst-19207	92	3	statistics	statistics	PROPN
ajst-19207	92	4	statistics	statistics	PROPN
ajst-19207	92	5	twitter15	twitter15	PROPN
ajst-19207	92	6	twitter16	twitter16	VERB
ajst-19207	92	7	#	#	PROPN
ajst-19207	92	8	of	of	ADP
ajst-19207	92	9	source	source	NOUN
ajst-19207	92	10	1473	1473	NUM
ajst-19207	92	11	790	790	NUM
ajst-19207	92	12	#	#	NOUN
ajst-19207	92	13	of	of	ADP
ajst-19207	92	14	user	user	NOUN
ajst-19207	92	15	applied	apply	VERB
ajst-19207	92	16	47925	47925	NUM
ajst-19207	92	17	24047	24047	NUM
ajst-19207	92	18	#	#	NOUN
ajst-19207	92	19	of	of	ADP
ajst-19207	92	20	true	true	ADJ
ajst-19207	92	21	rumors	rumor	NOUN
ajst-19207	92	22	366	366	NUM
ajst-19207	92	23	203	203	NUM
ajst-19207	92	24	#	#	NOUN
ajst-19207	92	25	of	of	ADP
ajst-19207	92	26	false	false	ADJ
ajst-19207	92	27	rumors	rumor	NOUN
ajst-19207	92	28	360	360	NUM
ajst-19207	92	29	192	192	NUM
ajst-19207	92	30	#	#	NOUN
ajst-19207	92	31	of	of	ADP
ajst-19207	92	32	unverified	unverified	ADJ
ajst-19207	92	33	372	372	NUM
ajst-19207	92	34	196	196	NUM
ajst-19207	92	35	#	#	NOUN
ajst-19207	92	36	of	of	ADP
ajst-19207	92	37	non	non	NOUN
ajst-19207	92	38	-	-	NOUN
ajst-19207	92	39	rumors	rumor	VERB
ajst-19207	92	40	374	374	NUM
ajst-19207	92	41	199	199	NUM
ajst-19207	92	42	table	table	NOUN
ajst-19207	92	43	2	2	NUM
ajst-19207	92	44	.	.	PUNCT
ajst-19207	92	45	experiment	experiment	NOUN
ajst-19207	92	46	results	result	VERB
ajst-19207	92	47	4.2	4.2	NUM
ajst-19207	92	48	.	.	PUNCT
ajst-19207	93	1	experiment	experiment	NOUN
ajst-19207	93	2	results	result	NOUN
ajst-19207	93	3	we	we	PRON
ajst-19207	93	4	first	first	ADV
ajst-19207	93	5	compare	compare	VERB
ajst-19207	93	6	the	the	DET
ajst-19207	93	7	detection	detection	NOUN
ajst-19207	93	8	performance	performance	NOUN
ajst-19207	93	9	of	of	ADP
ajst-19207	93	10	the	the	DET
ajst-19207	93	11	proposed	propose	VERB
ajst-19207	93	12	model	model	NOUN
ajst-19207	93	13	with	with	ADP
ajst-19207	93	14	baselines	baseline	NOUN
ajst-19207	93	15	above	above	ADV
ajst-19207	93	16	on	on	ADP
ajst-19207	93	17	twitter15	twitter15	NOUN
ajst-19207	93	18	dataset	dataset	PROPN
ajst-19207	93	19	.	.	PUNCT
ajst-19207	94	1	we	we	PRON
ajst-19207	94	2	use	use	VERB
ajst-19207	94	3	accuracy	accuracy	NOUN
ajst-19207	94	4	and	and	CCONJ
ajst-19207	94	5	f1	f1	NOUN
ajst-19207	94	6	score	score	NOUN
ajst-19207	94	7	as	as	ADP
ajst-19207	94	8	the	the	DET
ajst-19207	94	9	evaluation	evaluation	NOUN
ajst-19207	94	10	metrics	metric	NOUN
ajst-19207	94	11	in	in	ADP
ajst-19207	94	12	the	the	DET
ajst-19207	94	13	experiments	experiment	NOUN
ajst-19207	94	14	.	.	PUNCT
ajst-19207	95	1	table	table	NOUN
ajst-19207	95	2	2	2	NUM
ajst-19207	95	3	illustrates	illustrate	VERB
ajst-19207	95	4	the	the	DET
ajst-19207	95	5	comparison	comparison	NOUN
ajst-19207	95	6	results	result	NOUN
ajst-19207	95	7	of	of	ADP
ajst-19207	95	8	different	different	ADJ
ajst-19207	95	9	rumor	rumor	NOUN
ajst-19207	95	10	detection	detection	NOUN
ajst-19207	95	11	models	model	NOUN
ajst-19207	95	12	.	.	PUNCT
ajst-19207	96	1	it	it	PRON
ajst-19207	96	2	can	can	AUX
ajst-19207	96	3	be	be	AUX
ajst-19207	96	4	observed	observe	VERB
ajst-19207	96	5	that	that	SCONJ
ajst-19207	96	6	our	our	PRON
ajst-19207	96	7	method	method	NOUN
ajst-19207	96	8	outperforms	outperform	VERB
ajst-19207	96	9	the	the	DET
ajst-19207	96	10	baseline	baseline	NOUN
ajst-19207	96	11	methods	method	NOUN
ajst-19207	96	12	in	in	ADP
ajst-19207	96	13	term	term	NOUN
ajst-19207	96	14	of	of	ADP
ajst-19207	96	15	accuracy	accuracy	NOUN
ajst-19207	96	16	and	and	CCONJ
ajst-19207	96	17	f1	f1	NOUN
ajst-19207	96	18	score	score	NOUN
ajst-19207	96	19	.	.	PUNCT
ajst-19207	97	1	the	the	DET
ajst-19207	97	2	reason	reason	NOUN
ajst-19207	97	3	why	why	SCONJ
ajst-19207	97	4	our	our	PRON
ajst-19207	97	5	method	method	NOUN
ajst-19207	97	6	beats	beat	NOUN
ajst-19207	97	7	bigcn	bigcn	NOUN
ajst-19207	97	8	is	be	AUX
ajst-19207	97	9	that	that	SCONJ
ajst-19207	97	10	we	we	PRON
ajst-19207	97	11	can	can	AUX
ajst-19207	97	12	learn	learn	VERB
ajst-19207	97	13	the	the	DET
ajst-19207	97	14	correlations	correlation	NOUN
ajst-19207	97	15	among	among	ADP
ajst-19207	97	16	different	different	ADJ
ajst-19207	97	17	sources	source	NOUN
ajst-19207	97	18	tweets	tweet	NOUN
ajst-19207	97	19	with	with	ADP
ajst-19207	97	20	user	user	NOUN
ajst-19207	97	21	correlation	correlation	NOUN
ajst-19207	97	22	pattern	pattern	NOUN
ajst-19207	97	23	while	while	SCONJ
ajst-19207	97	24	the	the	DET
ajst-19207	97	25	latter	latter	NOUN
ajst-19207	97	26	does	do	VERB
ajst-19207	97	27	not	not	PART
ajst-19207	97	28	.	.	PUNCT
ajst-19207	98	1	thus	thus	ADV
ajst-19207	98	2	,	,	PUNCT
ajst-19207	98	3	we	we	PRON
ajst-19207	98	4	can	can	AUX
ajst-19207	98	5	see	see	VERB
ajst-19207	98	6	the	the	DET
ajst-19207	98	7	effectiveness	effectiveness	NOUN
ajst-19207	98	8	of	of	ADP
ajst-19207	98	9	incorporating	incorporate	VERB
ajst-19207	98	10	user	user	NOUN
ajst-19207	98	11	correlation	correlation	NOUN
ajst-19207	98	12	pattern	pattern	NOUN
ajst-19207	98	13	for	for	ADP
ajst-19207	98	14	rumor	rumor	NOUN
ajst-19207	98	15	detection	detection	NOUN
ajst-19207	98	16	.	.	PUNCT
ajst-19207	99	1	for	for	ADP
ajst-19207	99	2	twitter16	twitter16	NOUN
ajst-19207	99	3	dataset	dataset	VERB
ajst-19207	99	4	,	,	PUNCT
ajst-19207	99	5	we	we	PRON
ajst-19207	99	6	also	also	ADV
ajst-19207	99	7	show	show	VERB
ajst-19207	99	8	that	that	SCONJ
ajst-19207	99	9	the	the	DET
ajst-19207	99	10	proposed	propose	VERB
ajst-19207	99	11	method	method	NOUN
ajst-19207	99	12	has	have	VERB
ajst-19207	99	13	a	a	DET
ajst-19207	99	14	better	well	ADJ
ajst-19207	99	15	detection	detection	NOUN
ajst-19207	99	16	performance	performance	NOUN
ajst-19207	99	17	than	than	ADP
ajst-19207	99	18	the	the	DET
ajst-19207	99	19	baselines	baseline	NOUN
ajst-19207	99	20	,	,	PUNCT
ajst-19207	99	21	as	as	SCONJ
ajst-19207	99	22	shown	show	VERB
ajst-19207	99	23	in	in	ADP
ajst-19207	99	24	table	table	NOUN
ajst-19207	99	25	2	2	NUM
ajst-19207	99	26	.	.	NOUN
ajst-19207	99	27	5	5	NUM
ajst-19207	99	28	.	.	X
ajst-19207	99	29	conclusion	conclusion	NOUN
ajst-19207	99	30	rumor	rumor	NOUN
ajst-19207	99	31	detection	detection	NOUN
ajst-19207	99	32	algorithms	algorithm	NOUN
ajst-19207	99	33	are	be	AUX
ajst-19207	99	34	essential	essential	ADJ
ajst-19207	99	35	for	for	ADP
ajst-19207	99	36	identifying	identify	VERB
ajst-19207	99	37	and	and	CCONJ
ajst-19207	99	38	curbing	curb	VERB
ajst-19207	99	39	the	the	DET
ajst-19207	99	40	spread	spread	NOUN
ajst-19207	99	41	of	of	ADP
ajst-19207	99	42	misinformation	misinformation	NOUN
ajst-19207	99	43	online	online	ADV
ajst-19207	99	44	.	.	PUNCT
ajst-19207	100	1	they	they	PRON
ajst-19207	100	2	ensure	ensure	VERB
ajst-19207	100	3	that	that	SCONJ
ajst-19207	100	4	only	only	ADV
ajst-19207	100	5	verified	verified	ADJ
ajst-19207	100	6	information	information	NOUN
ajst-19207	100	7	circulates	circulate	VERB
ajst-19207	100	8	,	,	PUNCT
ajst-19207	100	9	safeguarding	safeguard	VERB
ajst-19207	100	10	public	public	ADJ
ajst-19207	100	11	safety	safety	NOUN
ajst-19207	100	12	,	,	PUNCT
ajst-19207	100	13	protecting	protect	VERB
ajst-19207	100	14	financial	financial	ADJ
ajst-19207	100	15	markets	market	NOUN
ajst-19207	100	16	,	,	PUNCT
ajst-19207	100	17	and	and	CCONJ
ajst-19207	100	18	maintaining	maintain	VERB
ajst-19207	100	19	national	national	ADJ
ajst-19207	100	20	security	security	NOUN
ajst-19207	100	21	.	.	PUNCT
ajst-19207	101	1	advanced	advanced	ADJ
ajst-19207	101	2	models	model	NOUN
ajst-19207	101	3	,	,	PUNCT
ajst-19207	101	4	especially	especially	ADV
ajst-19207	101	5	those	those	PRON
ajst-19207	101	6	using	use	VERB
ajst-19207	101	7	graph	graph	NOUN
ajst-19207	101	8	neural	neural	ADJ
ajst-19207	101	9	networks	network	NOUN
ajst-19207	101	10	,	,	PUNCT
ajst-19207	101	11	enhance	enhance	VERB
ajst-19207	101	12	early	early	ADJ
ajst-19207	101	13	detection	detection	NOUN
ajst-19207	101	14	and	and	CCONJ
ajst-19207	101	15	accuracy	accuracy	NOUN
ajst-19207	101	16	,	,	PUNCT
ajst-19207	101	17	mitigating	mitigate	VERB
ajst-19207	101	18	the	the	DET
ajst-19207	101	19	potential	potential	ADJ
ajst-19207	101	20	negative	negative	ADJ
ajst-19207	101	21	impacts	impact	NOUN
ajst-19207	101	22	of	of	ADP
ajst-19207	101	23	false	false	ADJ
ajst-19207	101	24	information	information	NOUN
ajst-19207	101	25	swiftly	swiftly	ADV
ajst-19207	101	26	.	.	PUNCT
ajst-19207	102	1	in	in	ADP
ajst-19207	102	2	this	this	DET
ajst-19207	102	3	paper	paper	NOUN
ajst-19207	102	4	,	,	PUNCT
ajst-19207	102	5	we	we	PRON
ajst-19207	102	6	developed	develop	VERB
ajst-19207	102	7	a	a	DET
ajst-19207	102	8	novel	novel	ADJ
ajst-19207	102	9	rumor	rumor	NOUN
ajst-19207	102	10	detection	detection	NOUN
ajst-19207	102	11	model	model	NOUN
ajst-19207	102	12	,	,	PUNCT
ajst-19207	102	13	that	that	PRON
ajst-19207	102	14	jointly	jointly	ADV
ajst-19207	102	15	learns	learn	VERB
ajst-19207	102	16	the	the	DET
ajst-19207	102	17	representations	representation	NOUN
ajst-19207	102	18	of	of	ADP
ajst-19207	102	19	user	user	NOUN
ajst-19207	102	20	correlation	correlation	NOUN
ajst-19207	102	21	and	and	CCONJ
ajst-19207	102	22	information	information	NOUN
ajst-19207	102	23	propagation	propagation	NOUN
ajst-19207	102	24	based	base	VERB
ajst-19207	102	25	on	on	ADP
ajst-19207	102	26	graph	graph	NOUN
ajst-19207	102	27	neural	neural	ADJ
ajst-19207	102	28	networks	network	NOUN
ajst-19207	102	29	.	.	PUNCT
ajst-19207	103	1	specifically	specifically	ADV
ajst-19207	103	2	,	,	PUNCT
ajst-19207	103	3	it	it	PRON
ajst-19207	103	4	first	first	ADV
ajst-19207	103	5	leverages	leverage	NOUN
ajst-19207	103	6	graph	graph	VERB
ajst-19207	103	7	convolutional	convolutional	ADJ
ajst-19207	103	8	neural	neural	ADJ
ajst-19207	103	9	networks	network	NOUN
ajst-19207	103	10	(	(	PUNCT
ajst-19207	103	11	gcns	gcns	PROPN
ajst-19207	103	12	)	)	PUNCT
ajst-19207	103	13	to	to	PART
ajst-19207	103	14	learn	learn	VERB
ajst-19207	103	15	the	the	DET
ajst-19207	103	16	representations	representation	NOUN
ajst-19207	103	17	of	of	ADP
ajst-19207	103	18	source	source	NOUN
ajst-19207	103	19	tweets	tweet	NOUN
ajst-19207	103	20	from	from	ADP
ajst-19207	103	21	a	a	DET
ajst-19207	103	22	user	user	NOUN
ajst-19207	103	23	-	-	PUNCT
ajst-19207	103	24	tweet	tweet	NOUN
ajst-19207	103	25	bipartite	bipartite	NOUN
ajst-19207	103	26	graph	graph	NOUN
ajst-19207	103	27	and	and	CCONJ
ajst-19207	103	28	a	a	DET
ajst-19207	103	29	tree	tree	NOUN
ajst-19207	103	30	propagation	propagation	NOUN
ajst-19207	103	31	structure	structure	NOUN
ajst-19207	103	32	,	,	PUNCT
ajst-19207	103	33	respectively	respectively	ADV
ajst-19207	103	34	.	.	PUNCT
ajst-19207	104	1	then	then	ADV
ajst-19207	104	2	we	we	PRON
ajst-19207	104	3	combine	combine	VERB
ajst-19207	104	4	the	the	DET
ajst-19207	104	5	learned	learn	VERB
ajst-19207	104	6	representations	representation	NOUN
ajst-19207	104	7	to	to	PART
ajst-19207	104	8	classify	classify	VERB
ajst-19207	104	9	rumors	rumor	NOUN
ajst-19207	104	10	.	.	PUNCT
ajst-19207	105	1	evaluations	evaluation	NOUN
ajst-19207	105	2	on	on	ADP
ajst-19207	105	3	two	two	NUM
ajst-19207	105	4	publicly	publicly	ADV
ajst-19207	105	5	available	available	ADJ
ajst-19207	105	6	datasets	dataset	NOUN
ajst-19207	105	7	show	show	VERB
ajst-19207	105	8	that	that	SCONJ
ajst-19207	105	9	our	our	PRON
ajst-19207	105	10	model	model	NOUN
ajst-19207	105	11	has	have	VERB
ajst-19207	105	12	the	the	DET
ajst-19207	105	13	best	good	ADJ
ajst-19207	105	14	detection	detection	NOUN
ajst-19207	105	15	performance	performance	NOUN
ajst-19207	105	16	compared	compare	VERB
ajst-19207	105	17	to	to	ADP
ajst-19207	105	18	the	the	DET
ajst-19207	105	19	existing	exist	VERB
ajst-19207	105	20	detection	detection	NOUN
ajst-19207	105	21	models	model	NOUN
ajst-19207	105	22	.	.	PUNCT
ajst-19207	106	1	it	it	PRON
ajst-19207	106	2	also	also	ADV
ajst-19207	106	3	has	have	VERB
ajst-19207	106	4	a	a	DET
ajst-19207	106	5	higher	high	ADJ
ajst-19207	106	6	detection	detection	NOUN
ajst-19207	106	7	accuracy	accuracy	NOUN
ajst-19207	106	8	for	for	ADP
ajst-19207	106	9	early	early	ADJ
ajst-19207	106	10	rumor	rumor	NOUN
ajst-19207	106	11	detection	detection	NOUN
ajst-19207	106	12	compared	compare	VERB
ajst-19207	106	13	to	to	ADP
ajst-19207	106	14	the	the	DET
ajst-19207	106	15	baselines	baseline	NOUN
ajst-19207	106	16	.	.	PUNCT
ajst-19207	107	1	in	in	ADP
ajst-19207	107	2	the	the	DET
ajst-19207	107	3	future	future	NOUN
ajst-19207	107	4	,	,	PUNCT
ajst-19207	107	5	we	we	PRON
ajst-19207	107	6	would	would	AUX
ajst-19207	107	7	like	like	VERB
ajst-19207	107	8	to	to	PART
ajst-19207	107	9	investigate	investigate	VERB
ajst-19207	107	10	more	more	ADV
ajst-19207	107	11	powerful	powerful	ADJ
ajst-19207	107	12	approaches	approach	NOUN
ajst-19207	107	13	to	to	PART
ajst-19207	107	14	learn	learn	VERB
ajst-19207	107	15	representation	representation	NOUN
ajst-19207	107	16	of	of	ADP
ajst-19207	107	17	text	text	NOUN
ajst-19207	107	18	information	information	NOUN
ajst-19207	107	19	,	,	PUNCT
ajst-19207	107	20	which	which	PRON
ajst-19207	107	21	is	be	AUX
ajst-19207	107	22	a	a	DET
ajst-19207	107	23	viable	viable	ADJ
ajst-19207	107	24	way	way	NOUN
ajst-19207	107	25	to	to	PART
ajst-19207	107	26	gain	gain	VERB
ajst-19207	107	27	a	a	DET
ajst-19207	107	28	better	well	ADJ
ajst-19207	107	29	model	model	NOUN
ajst-19207	107	30	performance	performance	NOUN
ajst-19207	107	31	.	.	PUNCT
ajst-19207	108	1	references	reference	NOUN
ajst-19207	108	2	[	[	X
ajst-19207	108	3	1	1	NUM
ajst-19207	108	4	]	]	PUNCT
ajst-19207	108	5	atwood	atwood	NOUN
ajst-19207	108	6	,	,	PUNCT
ajst-19207	108	7	james	james	PROPN
ajst-19207	108	8	,	,	PUNCT
ajst-19207	108	9	and	and	CCONJ
ajst-19207	108	10	don	don	PROPN
ajst-19207	108	11	towsley	towsley	NOUN
ajst-19207	108	12	.	.	PUNCT
ajst-19207	109	1	"	"	PUNCT
ajst-19207	109	2	diffusion	diffusion	NOUN
ajst-19207	109	3	-	-	PUNCT
ajst-19207	109	4	convolutional	convolutional	ADJ
ajst-19207	109	5	neural	neural	ADJ
ajst-19207	109	6	networks	network	NOUN
ajst-19207	109	7	.	.	PUNCT
ajst-19207	109	8	"	"	PUNCT
ajst-19207	110	1	advances	advance	NOUN
ajst-19207	110	2	in	in	ADP
ajst-19207	110	3	neural	neural	ADJ
ajst-19207	110	4	information	information	NOUN
ajst-19207	110	5	processing	processing	NOUN
ajst-19207	110	6	systems	system	NOUN
ajst-19207	110	7	29	29	NUM
ajst-19207	110	8	(	(	PUNCT
ajst-19207	110	9	2016	2016	NUM
ajst-19207	110	10	)	)	PUNCT
ajst-19207	110	11	.	.	PUNCT
ajst-19207	111	1	[	[	X
ajst-19207	111	2	2	2	NUM
ajst-19207	111	3	]	]	PUNCT
ajst-19207	111	4	bhutani	bhutani	NOUN
ajst-19207	111	5	,	,	PUNCT
ajst-19207	111	6	bhavika	bhavika	NOUN
ajst-19207	111	7	,	,	PUNCT
ajst-19207	111	8	et	et	PROPN
ajst-19207	111	9	al	al	PROPN
ajst-19207	111	10	.	.	PUNCT
ajst-19207	112	1	"	"	PUNCT
ajst-19207	112	2	fake	fake	ADJ
ajst-19207	112	3	news	news	NOUN
ajst-19207	112	4	detection	detection	NOUN
ajst-19207	112	5	using	use	VERB
ajst-19207	112	6	sentiment	sentiment	NOUN
ajst-19207	112	7	analysis	analysis	NOUN
ajst-19207	112	8	.	.	PUNCT
ajst-19207	112	9	"	"	PUNCT
ajst-19207	113	1	2019	2019	NUM
ajst-19207	113	2	twelfth	twelfth	ADJ
ajst-19207	113	3	international	international	ADJ
ajst-19207	113	4	conference	conference	NOUN
ajst-19207	113	5	on	on	ADP
ajst-19207	113	6	contemporary	contemporary	ADJ
ajst-19207	113	7	computing	computing	PROPN
ajst-19207	113	8	(	(	PUNCT
ajst-19207	113	9	ic3	ic3	PROPN
ajst-19207	113	10	)	)	PUNCT
ajst-19207	113	11	.	.	PUNCT
ajst-19207	114	1	ieee	ieee	PROPN
ajst-19207	114	2	,	,	PUNCT
ajst-19207	114	3	2019	2019	NUM
ajst-19207	114	4	.	.	PUNCT
ajst-19207	115	1	[	[	X
ajst-19207	115	2	3	3	NUM
ajst-19207	115	3	]	]	X
ajst-19207	115	4	bian	bian	PROPN
ajst-19207	115	5	,	,	PUNCT
ajst-19207	115	6	tian	tian	PROPN
ajst-19207	115	7	,	,	PUNCT
ajst-19207	115	8	et	et	PROPN
ajst-19207	115	9	al	al	PROPN
ajst-19207	115	10	.	.	PUNCT
ajst-19207	116	1	"	"	PUNCT
ajst-19207	116	2	rumor	rumor	ADJ
ajst-19207	116	3	detection	detection	NOUN
ajst-19207	116	4	on	on	ADP
ajst-19207	116	5	social	social	ADJ
ajst-19207	116	6	media	medium	NOUN
ajst-19207	116	7	with	with	ADP
ajst-19207	116	8	bidirectional	bidirectional	ADJ
ajst-19207	116	9	graph	graph	NOUN
ajst-19207	116	10	convolutional	convolutional	ADJ
ajst-19207	116	11	networks	network	NOUN
ajst-19207	116	12	.	.	PUNCT
ajst-19207	116	13	"	"	PUNCT
ajst-19207	117	1	proceedings	proceeding	NOUN
ajst-19207	117	2	of	of	ADP
ajst-19207	117	3	the	the	DET
ajst-19207	117	4	aaai	aaai	PROPN
ajst-19207	117	5	conference	conference	NOUN
ajst-19207	117	6	on	on	ADP
ajst-19207	117	7	artificial	artificial	ADJ
ajst-19207	117	8	intelligence	intelligence	NOUN
ajst-19207	117	9	.	.	PUNCT
ajst-19207	118	1	vol	vol	NOUN
ajst-19207	118	2	.	.	PUNCT
ajst-19207	119	1	34	34	NUM
ajst-19207	119	2	.	.	PUNCT
ajst-19207	120	1	no	no	INTJ
ajst-19207	120	2	.	.	NOUN
ajst-19207	120	3	01	01	NUM
ajst-19207	120	4	.	.	PUNCT
ajst-19207	121	1	2020	2020	NUM
ajst-19207	121	2	.	.	PUNCT
ajst-19207	122	1	[	[	X
ajst-19207	122	2	4	4	NUM
ajst-19207	122	3	]	]	X
ajst-19207	122	4	liu	liu	PROPN
ajst-19207	122	5	,	,	PUNCT
ajst-19207	122	6	tianrui	tianrui	PROPN
ajst-19207	122	7	,	,	PUNCT
ajst-19207	122	8	et	et	PROPN
ajst-19207	122	9	al	al	PROPN
ajst-19207	122	10	.	.	PUNCT
ajst-19207	123	1	"	"	PUNCT
ajst-19207	123	2	news	news	NOUN
ajst-19207	123	3	recommendation	recommendation	NOUN
ajst-19207	123	4	with	with	ADP
ajst-19207	123	5	attention	attention	NOUN
ajst-19207	123	6	mechanism	mechanism	NOUN
ajst-19207	123	7	.	.	PUNCT
ajst-19207	123	8	"	"	PUNCT
ajst-19207	124	1	journal	journal	NOUN
ajst-19207	124	2	of	of	ADP
ajst-19207	124	3	industrial	industrial	ADJ
ajst-19207	124	4	engineering	engineering	NOUN
ajst-19207	124	5	and	and	CCONJ
ajst-19207	124	6	applied	apply	VERB
ajst-19207	124	7	science	science	NOUN
ajst-19207	124	8	2.1	2.1	NUM
ajst-19207	124	9	(	(	PUNCT
ajst-19207	124	10	2024	2024	NUM
ajst-19207	124	11	):	):	PUNCT
ajst-19207	124	12	21	21	NUM
ajst-19207	124	13	-	-	SYM
ajst-19207	124	14	26	26	NUM
ajst-19207	124	15	.	.	PUNCT
ajst-19207	125	1	[	[	X
ajst-19207	125	2	5	5	NUM
ajst-19207	125	3	]	]	X
ajst-19207	125	4	hamilton	hamilton	PROPN
ajst-19207	125	5	,	,	PUNCT
ajst-19207	125	6	will	will	AUX
ajst-19207	125	7	,	,	PUNCT
ajst-19207	125	8	zhitao	zhitao	PROPN
ajst-19207	125	9	ying	ying	PROPN
ajst-19207	125	10	,	,	PUNCT
ajst-19207	125	11	and	and	CCONJ
ajst-19207	125	12	jure	jure	NOUN
ajst-19207	125	13	leskovec	leskovec	PROPN
ajst-19207	125	14	.	.	PUNCT
ajst-19207	126	1	"	"	PUNCT
ajst-19207	126	2	inductive	inductive	ADJ
ajst-19207	126	3	representation	representation	NOUN
ajst-19207	126	4	learning	learn	VERB
ajst-19207	126	5	on	on	ADP
ajst-19207	126	6	large	large	ADJ
ajst-19207	126	7	graphs	graph	NOUN
ajst-19207	126	8	.	.	PUNCT
ajst-19207	126	9	"	"	PUNCT
ajst-19207	127	1	advances	advance	NOUN
ajst-19207	127	2	in	in	ADP
ajst-19207	127	3	neural	neural	ADJ
ajst-19207	127	4	information	information	NOUN
ajst-19207	127	5	processing	processing	NOUN
ajst-19207	127	6	systems	system	NOUN
ajst-19207	127	7	30	30	NUM
ajst-19207	127	8	(	(	PUNCT
ajst-19207	127	9	2017	2017	NUM
ajst-19207	127	10	)	)	PUNCT
ajst-19207	127	11	.	.	PUNCT
ajst-19207	128	1	[	[	X
ajst-19207	128	2	6	6	NUM
ajst-19207	128	3	]	]	PUNCT
ajst-19207	128	4	choi	choi	NOUN
ajst-19207	128	5	,	,	PUNCT
ajst-19207	128	6	daejin	daejin	NOUN
ajst-19207	128	7	,	,	PUNCT
ajst-19207	128	8	et	et	PROPN
ajst-19207	128	9	al	al	PROPN
ajst-19207	128	10	.	.	PUNCT
ajst-19207	129	1	"	"	PUNCT
ajst-19207	129	2	rumor	rumor	ADJ
ajst-19207	129	3	propagation	propagation	NOUN
ajst-19207	129	4	is	be	AUX
ajst-19207	129	5	amplified	amplify	VERB
ajst-19207	129	6	by	by	ADP
ajst-19207	129	7	echo	echo	NOUN
ajst-19207	129	8	chambers	chamber	NOUN
ajst-19207	129	9	in	in	ADP
ajst-19207	129	10	social	social	ADJ
ajst-19207	129	11	media	medium	NOUN
ajst-19207	129	12	.	.	PUNCT
ajst-19207	129	13	"	"	PUNCT
ajst-19207	130	1	scientific	scientific	ADJ
ajst-19207	130	2	reports	report	NOUN
ajst-19207	130	3	10.1	10.1	NUM
ajst-19207	130	4	(	(	PUNCT
ajst-19207	130	5	2020	2020	NUM
ajst-19207	130	6	):	):	PUNCT
ajst-19207	130	7	310	310	NUM
ajst-19207	130	8	.	.	PUNCT
ajst-19207	131	1	[	[	X
ajst-19207	131	2	7	7	NUM
ajst-19207	131	3	]	]	SYM
ajst-19207	131	4	li	li	PROPN
ajst-19207	131	5	,	,	PUNCT
ajst-19207	131	6	yanjie	yanjie	PROPN
ajst-19207	131	7	,	,	PUNCT
ajst-19207	131	8	et	et	PROPN
ajst-19207	131	9	al	al	PROPN
ajst-19207	131	10	.	.	PUNCT
ajst-19207	131	11	"	"	PUNCT
ajst-19207	131	12	transfer	transfer	NOUN
ajst-19207	131	13	-	-	PUNCT
ajst-19207	131	14	learning	learning	NOUN
ajst-19207	131	15	-	-	PUNCT
ajst-19207	131	16	based	base	VERB
ajst-19207	131	17	network	network	NOUN
ajst-19207	131	18	traffic	traffic	NOUN
ajst-19207	131	19	automatic	automatic	ADJ
ajst-19207	131	20	generation	generation	NOUN
ajst-19207	131	21	framework	framework	NOUN
ajst-19207	131	22	.	.	PUNCT
ajst-19207	131	23	"	"	PUNCT
ajst-19207	132	1	2021	2021	NUM
ajst-19207	132	2	6th	6th	ADJ
ajst-19207	132	3	international	international	ADJ
ajst-19207	132	4	conference	conference	NOUN
ajst-19207	132	5	on	on	ADP
ajst-19207	132	6	intelligent	intelligent	ADJ
ajst-19207	132	7	computing	computing	NOUN
ajst-19207	132	8	and	and	CCONJ
ajst-19207	132	9	signal	signal	NOUN
ajst-19207	132	10	processing	processing	NOUN
ajst-19207	132	11	(	(	PUNCT
ajst-19207	132	12	icsp	icsp	ADJ
ajst-19207	132	13	)	)	PUNCT
ajst-19207	132	14	.	.	PUNCT
ajst-19207	133	1	ieee	ieee	NOUN
ajst-19207	133	2	,	,	PUNCT
ajst-19207	133	3	2021	2021	NUM
ajst-19207	133	4	.	.	PUNCT
ajst-19207	134	1	[	[	X
ajst-19207	134	2	8	8	NUM
ajst-19207	134	3	]	]	SYM
ajst-19207	134	4	ma	ma	PROPN
ajst-19207	134	5	,	,	PUNCT
ajst-19207	134	6	jing	jing	PROPN
ajst-19207	134	7	,	,	PUNCT
ajst-19207	134	8	wei	wei	PROPN
ajst-19207	134	9	gao	gao	PROPN
ajst-19207	134	10	,	,	PUNCT
ajst-19207	134	11	and	and	CCONJ
ajst-19207	134	12	kam	kam	PROPN
ajst-19207	134	13	-	-	PUNCT
ajst-19207	134	14	fai	fai	X
ajst-19207	134	15	wong	wong	PROPN
ajst-19207	134	16	.	.	PUNCT
ajst-19207	135	1	"	"	PUNCT
ajst-19207	135	2	rumor	rumor	ADJ
ajst-19207	135	3	detection	detection	NOUN
ajst-19207	135	4	on	on	ADP
ajst-19207	135	5	twitter	twitter	NOUN
ajst-19207	135	6	with	with	ADP
ajst-19207	135	7	tree	tree	NOUN
ajst-19207	135	8	-	-	PUNCT
ajst-19207	135	9	structured	structure	VERB
ajst-19207	135	10	recursive	recursive	ADJ
ajst-19207	135	11	neural	neural	ADJ
ajst-19207	135	12	networks	network	NOUN
ajst-19207	135	13	.	.	PUNCT
ajst-19207	135	14	"	"	PUNCT
ajst-19207	136	1	association	association	NOUN
ajst-19207	136	2	for	for	ADP
ajst-19207	136	3	computational	computational	ADJ
ajst-19207	136	4	linguistics	linguistic	NOUN
ajst-19207	136	5	,	,	PUNCT
ajst-19207	136	6	2018	2018	NUM
ajst-19207	136	7	.	.	PUNCT
ajst-19207	137	1	[	[	X
ajst-19207	137	2	9	9	NUM
ajst-19207	137	3	]	]	SYM
ajst-19207	137	4	pennington	pennington	PROPN
ajst-19207	137	5	,	,	PUNCT
ajst-19207	137	6	jeffrey	jeffrey	PROPN
ajst-19207	137	7	,	,	PUNCT
ajst-19207	137	8	richard	richard	PROPN
ajst-19207	137	9	socher	socher	PROPN
ajst-19207	137	10	,	,	PUNCT
ajst-19207	137	11	and	and	CCONJ
ajst-19207	137	12	christopher	christopher	PROPN
ajst-19207	137	13	d.	d.	PROPN
ajst-19207	137	14	manning	manning	PROPN
ajst-19207	137	15	.	.	PUNCT
ajst-19207	138	1	"	"	PUNCT
ajst-19207	138	2	glove	glove	NOUN
ajst-19207	138	3	:	:	PUNCT
ajst-19207	138	4	global	global	ADJ
ajst-19207	138	5	vectors	vector	NOUN
ajst-19207	138	6	for	for	ADP
ajst-19207	138	7	word	word	NOUN
ajst-19207	138	8	representation	representation	NOUN
ajst-19207	138	9	.	.	PUNCT
ajst-19207	138	10	"	"	PUNCT
ajst-19207	139	1	proceedings	proceeding	NOUN
ajst-19207	139	2	of	of	ADP
ajst-19207	139	3	the	the	DET
ajst-19207	139	4	2014	2014	NUM
ajst-19207	139	5	conference	conference	NOUN
ajst-19207	139	6	on	on	ADP
ajst-19207	139	7	empirical	empirical	ADJ
ajst-19207	139	8	methods	method	NOUN
ajst-19207	139	9	in	in	ADP
ajst-19207	139	10	natural	natural	ADJ
ajst-19207	139	11	language	language	NOUN
ajst-19207	139	12	processing	processing	NOUN
ajst-19207	139	13	(	(	PUNCT
ajst-19207	139	14	emnlp	emnlp	ADJ
ajst-19207	139	15	)	)	PUNCT
ajst-19207	139	16	.	.	PUNCT
ajst-19207	140	1	2014	2014	NUM
ajst-19207	140	2	.	.	PUNCT
ajst-19207	141	1	[	[	X
ajst-19207	141	2	10	10	NUM
ajst-19207	141	3	]	]	X
ajst-19207	141	4	devlin	devlin	PROPN
ajst-19207	141	5	,	,	PUNCT
ajst-19207	141	6	jacob	jacob	PROPN
ajst-19207	141	7	,	,	PUNCT
ajst-19207	141	8	et	et	PROPN
ajst-19207	141	9	al	al	PROPN
ajst-19207	141	10	.	.	PUNCT
ajst-19207	141	11	"	"	PUNCT
ajst-19207	141	12	bert	bert	PROPN
ajst-19207	141	13	:	:	PUNCT
ajst-19207	141	14	pre	pre	ADJ
ajst-19207	141	15	-	-	NOUN
ajst-19207	141	16	training	training	NOUN
ajst-19207	141	17	of	of	ADP
ajst-19207	141	18	deep	deep	ADJ
ajst-19207	141	19	bidirectional	bidirectional	ADJ
ajst-19207	141	20	transformers	transformer	NOUN
ajst-19207	141	21	for	for	ADP
ajst-19207	141	22	language	language	NOUN
ajst-19207	141	23	understanding	understanding	NOUN
ajst-19207	141	24	.	.	PUNCT
ajst-19207	141	25	"	"	PUNCT
ajst-19207	142	1	arxiv	arxiv	PROPN
ajst-19207	142	2	preprint	preprint	VERB
ajst-19207	142	3	arxiv:1810.04805	arxiv:1810.04805	PROPN
ajst-19207	142	4	(	(	PUNCT
ajst-19207	142	5	2018	2018	NUM
ajst-19207	142	6	)	)	PUNCT
ajst-19207	142	7	.	.	PUNCT
ajst-19207	143	1	[	[	X
ajst-19207	143	2	11	11	NUM
ajst-19207	143	3	]	]	X
ajst-19207	143	4	zhao	zhao	X
ajst-19207	143	5	,	,	PUNCT
ajst-19207	143	6	yufan	yufan	PROPN
ajst-19207	143	7	,	,	PUNCT
ajst-19207	143	8	et	et	PROPN
ajst-19207	143	9	al	al	PROPN
ajst-19207	143	10	.	.	PUNCT
ajst-19207	144	1	"	"	PUNCT
ajst-19207	144	2	an	an	DET
ajst-19207	144	3	examination	examination	NOUN
ajst-19207	144	4	of	of	ADP
ajst-19207	144	5	transformer	transformer	NOUN
ajst-19207	144	6	:	:	PUNCT
ajst-19207	144	7	progress	progress	NOUN
ajst-19207	144	8	and	and	CCONJ
ajst-19207	144	9	application	application	NOUN
ajst-19207	144	10	in	in	ADP
ajst-19207	144	11	the	the	DET
ajst-19207	144	12	field	field	NOUN
ajst-19207	144	13	of	of	ADP
ajst-19207	144	14	computer	computer	NOUN
ajst-19207	144	15	vision	vision	NOUN
ajst-19207	144	16	.	.	PUNCT
ajst-19207	144	17	"	"	PUNCT
ajst-19207	145	1	современная	современная	PROPN
ajst-19207	145	2	309	309	NUM
ajst-19207	145	3	наука	наука	NOUN
ajst-19207	145	4	:	:	PUNCT
ajst-19207	145	5	актуальные	актуальные	NOUN
ajst-19207	145	6	вопросы	вопросы	NOUN
ajst-19207	145	7	,	,	PUNCT
ajst-19207	145	8	достижения	достижения	ADJ
ajst-19207	145	9	и	и	PROPN
ajst-19207	145	10	инновации	инновации	NOUN
ajst-19207	145	11	.	.	PUNCT
ajst-19207	146	1	2023.s	2023.s	NUM
ajst-19207	147	1	[	[	X
ajst-19207	147	2	12	12	NUM
ajst-19207	147	3	]	]	X
ajst-19207	147	4	xiong	xiong	PROPN
ajst-19207	147	5	,	,	PUNCT
ajst-19207	147	6	jize	jize	PROPN
ajst-19207	147	7	,	,	PUNCT
ajst-19207	147	8	et	et	PROPN
ajst-19207	147	9	al	al	PROPN
ajst-19207	147	10	.	.	PUNCT
ajst-19207	148	1	"	"	PUNCT
ajst-19207	148	2	decoding	decode	VERB
ajst-19207	148	3	sentiments	sentiment	NOUN
ajst-19207	148	4	:	:	PUNCT
ajst-19207	148	5	enhancing	enhance	VERB
ajst-19207	148	6	covid-19	covid-19	PROPN
ajst-19207	148	7	tweet	tweet	NOUN
ajst-19207	148	8	analysis	analysis	NOUN
ajst-19207	148	9	through	through	ADP
ajst-19207	148	10	bert	bert	PROPN
ajst-19207	148	11	-	-	PUNCT
ajst-19207	148	12	rcnn	rcnn	PROPN
ajst-19207	148	13	fusion	fusion	NOUN
ajst-19207	148	14	.	.	PUNCT
ajst-19207	148	15	"	"	PUNCT
ajst-19207	148	16	journal	journal	NOUN
ajst-19207	148	17	of	of	ADP
ajst-19207	148	18	theory	theory	NOUN
ajst-19207	148	19	and	and	CCONJ
ajst-19207	148	20	practice	practice	NOUN
ajst-19207	148	21	of	of	ADP
ajst-19207	148	22	engineering	engineering	NOUN
ajst-19207	148	23	science	science	NOUN
ajst-19207	148	24	4.01	4.01	NUM
ajst-19207	148	25	(	(	PUNCT
ajst-19207	148	26	2024	2024	NUM
ajst-19207	148	27	):	):	PUNCT
ajst-19207	148	28	86	86	NUM
ajst-19207	148	29	-	-	SYM
ajst-19207	148	30	93	93	NUM
ajst-19207	148	31	.	.	PUNCT
ajst-19207	149	1	[	[	X
ajst-19207	149	2	13	13	NUM
ajst-19207	149	3	]	]	X
ajst-19207	149	4	zhao	zhao	X
ajst-19207	149	5	,	,	PUNCT
ajst-19207	149	6	zhiming	zhime	VERB
ajst-19207	149	7	,	,	PUNCT
ajst-19207	149	8	et	et	PROPN
ajst-19207	149	9	al	al	PROPN
ajst-19207	149	10	.	.	PUNCT
ajst-19207	150	1	"	"	PUNCT
ajst-19207	150	2	enhancing	enhance	VERB
ajst-19207	150	3	e	e	NOUN
ajst-19207	150	4	-	-	NOUN
ajst-19207	150	5	commerce	commerce	NOUN
ajst-19207	150	6	recommendations	recommendation	NOUN
ajst-19207	150	7	:	:	PUNCT
ajst-19207	150	8	unveiling	unveil	VERB
ajst-19207	150	9	insights	insight	NOUN
ajst-19207	150	10	from	from	ADP
ajst-19207	150	11	customer	customer	NOUN
ajst-19207	150	12	reviews	review	NOUN
ajst-19207	150	13	with	with	ADP
ajst-19207	150	14	bertfusiondnn	bertfusiondnn	NOUN
ajst-19207	150	15	.	.	PUNCT
ajst-19207	150	16	"	"	PUNCT
ajst-19207	150	17	journal	journal	NOUN
ajst-19207	150	18	of	of	ADP
ajst-19207	150	19	theory	theory	NOUN
ajst-19207	150	20	and	and	CCONJ
ajst-19207	150	21	practice	practice	NOUN
ajst-19207	150	22	of	of	ADP
ajst-19207	150	23	engineering	engineer	VERB
ajst-19207	150	24	science	science	NOUN
ajst-19207	150	25	4.02	4.02	NUM
ajst-19207	150	26	(	(	PUNCT
ajst-19207	150	27	2024	2024	NUM
ajst-19207	150	28	):	):	PUNCT
ajst-19207	150	29	38	38	NUM
ajst-19207	150	30	-	-	SYM
ajst-19207	150	31	44	44	NUM
ajst-19207	150	32	.	.	PUNCT
ajst-19207	151	1	[	[	X
ajst-19207	151	2	14	14	NUM
ajst-19207	151	3	]	]	SYM
ajst-19207	151	4	fu	fu	PROPN
ajst-19207	151	5	,	,	PUNCT
ajst-19207	151	6	zhe	zhe	PROPN
ajst-19207	151	7	,	,	PUNCT
ajst-19207	151	8	xi	xi	PROPN
ajst-19207	151	9	niu	niu	PROPN
ajst-19207	151	10	,	,	PUNCT
ajst-19207	151	11	and	and	CCONJ
ajst-19207	151	12	li	li	PROPN
ajst-19207	151	13	yu	yu	PROPN
ajst-19207	151	14	.	.	PUNCT
ajst-19207	152	1	"	"	PUNCT
ajst-19207	152	2	wisdom	wisdom	NOUN
ajst-19207	152	3	of	of	ADP
ajst-19207	152	4	crowds	crowd	NOUN
ajst-19207	152	5	and	and	CCONJ
ajst-19207	152	6	finegrained	finegraine	VERB
ajst-19207	152	7	learning	learn	VERB
ajst-19207	152	8	for	for	ADP
ajst-19207	152	9	serendipity	serendipity	NOUN
ajst-19207	152	10	recommendations	recommendation	NOUN
ajst-19207	152	11	.	.	PUNCT
ajst-19207	152	12	"	"	PUNCT
ajst-19207	153	1	proceedings	proceeding	NOUN
ajst-19207	153	2	of	of	ADP
ajst-19207	153	3	the	the	DET
ajst-19207	153	4	46th	46th	ADJ
ajst-19207	153	5	international	international	PROPN
ajst-19207	153	6	acm	acm	PROPN
ajst-19207	153	7	sigir	sigir	PROPN
ajst-19207	153	8	conference	conference	PROPN
ajst-19207	153	9	on	on	ADP
ajst-19207	153	10	research	research	NOUN
ajst-19207	153	11	and	and	CCONJ
ajst-19207	153	12	development	development	NOUN
ajst-19207	153	13	in	in	ADP
ajst-19207	153	14	information	information	NOUN
ajst-19207	153	15	retrieval	retrieval	NOUN
ajst-19207	153	16	.	.	PUNCT
ajst-19207	154	1	2023	2023	NUM
ajst-19207	154	2	.	.	PUNCT
ajst-19207	155	1	[	[	X
ajst-19207	155	2	15	15	NUM
ajst-19207	155	3	]	]	X
ajst-19207	155	4	wei	wei	PROPN
ajst-19207	155	5	,	,	PUNCT
ajst-19207	155	6	xiaojun	xiaojun	PROPN
ajst-19207	155	7	,	,	PUNCT
ajst-19207	155	8	et	et	PROPN
ajst-19207	155	9	al	al	PROPN
ajst-19207	155	10	.	.	PUNCT
ajst-19207	155	11	"	"	PUNCT
ajst-19207	155	12	narrowing	narrow	VERB
ajst-19207	155	13	signal	signal	NOUN
ajst-19207	155	14	distribution	distribution	NOUN
ajst-19207	155	15	by	by	ADP
ajst-19207	155	16	adamantane	adamantane	ADJ
ajst-19207	155	17	derivatization	derivatization	NOUN
ajst-19207	155	18	for	for	ADP
ajst-19207	155	19	amino	amino	NOUN
ajst-19207	155	20	acid	acid	NOUN
ajst-19207	155	21	identification	identification	NOUN
ajst-19207	155	22	using	use	VERB
ajst-19207	155	23	an	an	DET
ajst-19207	155	24	α	α	NOUN
ajst-19207	155	25	-	-	PUNCT
ajst-19207	155	26	hemolysin	hemolysin	NOUN
ajst-19207	155	27	nanopore	nanopore	NOUN
ajst-19207	155	28	.	.	PUNCT
ajst-19207	155	29	"	"	PUNCT
ajst-19207	156	1	nano	nano	NOUN
ajst-19207	156	2	letters	letter	NOUN
ajst-19207	156	3	(	(	PUNCT
ajst-19207	156	4	2024	2024	NUM
ajst-19207	156	5	)	)	PUNCT
ajst-19207	156	6	.	.	PUNCT
ajst-19207	157	1	[	[	X
ajst-19207	157	2	16	16	NUM
ajst-19207	157	3	]	]	X
ajst-19207	157	4	song	song	NOUN
ajst-19207	157	5	,	,	PUNCT
ajst-19207	157	6	ge	ge	PROPN
ajst-19207	157	7	,	,	PUNCT
ajst-19207	157	8	et	et	PROPN
ajst-19207	157	9	al	al	PROPN
ajst-19207	157	10	.	.	PUNCT
ajst-19207	158	1	"	"	PUNCT
ajst-19207	158	2	energy	energy	NOUN
ajst-19207	158	3	consumption	consumption	NOUN
ajst-19207	158	4	auditing	auditing	NOUN
ajst-19207	158	5	based	base	VERB
ajst-19207	158	6	on	on	ADP
ajst-19207	158	7	a	a	DET
ajst-19207	158	8	generative	generative	ADJ
ajst-19207	158	9	adversarial	adversarial	ADJ
ajst-19207	158	10	network	network	NOUN
ajst-19207	158	11	for	for	ADP
ajst-19207	158	12	anomaly	anomaly	NOUN
ajst-19207	158	13	detection	detection	NOUN
ajst-19207	158	14	of	of	ADP
ajst-19207	158	15	robotic	robotic	ADJ
ajst-19207	158	16	manipulators	manipulator	NOUN
ajst-19207	158	17	.	.	PUNCT
ajst-19207	158	18	"	"	PUNCT
ajst-19207	159	1	future	future	ADJ
ajst-19207	159	2	generation	generation	NOUN
ajst-19207	159	3	computer	computer	NOUN
ajst-19207	159	4	systems	system	NOUN
ajst-19207	159	5	149	149	NUM
ajst-19207	159	6	(	(	PUNCT
ajst-19207	159	7	2023	2023	NUM
ajst-19207	159	8	):	):	PUNCT
ajst-19207	159	9	376	376	NUM
ajst-19207	159	10	-	-	SYM
ajst-19207	159	11	389	389	NUM
ajst-19207	159	12	.	.	PUNCT
ajst-19207	160	1	[	[	X
ajst-19207	160	2	17	17	NUM
ajst-19207	160	3	]	]	SYM
ajst-19207	160	4	ou	ou	PROPN
ajst-19207	160	5	,	,	PUNCT
ajst-19207	160	6	junlin	junlin	PROPN
ajst-19207	160	7	,	,	PUNCT
ajst-19207	160	8	et	et	PROPN
ajst-19207	160	9	al	al	PROPN
ajst-19207	160	10	.	.	PUNCT
ajst-19207	161	1	"	"	PUNCT
ajst-19207	161	2	hybrid	hybrid	ADJ
ajst-19207	161	3	path	path	NOUN
ajst-19207	161	4	planning	planning	NOUN
ajst-19207	161	5	based	base	VERB
ajst-19207	161	6	on	on	ADP
ajst-19207	161	7	adaptive	adaptive	ADJ
ajst-19207	161	8	visibility	visibility	NOUN
ajst-19207	161	9	graph	graph	NOUN
ajst-19207	161	10	initialization	initialization	NOUN
ajst-19207	161	11	and	and	CCONJ
ajst-19207	161	12	edge	edge	NOUN
ajst-19207	161	13	computing	computing	NOUN
ajst-19207	161	14	for	for	ADP
ajst-19207	161	15	mobile	mobile	NOUN
ajst-19207	161	16	robots	robot	NOUN
ajst-19207	161	17	.	.	PUNCT
ajst-19207	161	18	"	"	PUNCT
ajst-19207	162	1	engineering	engineering	NOUN
ajst-19207	162	2	applications	application	NOUN
ajst-19207	162	3	of	of	ADP
ajst-19207	162	4	artificial	artificial	ADJ
ajst-19207	162	5	intelligence	intelligence	NOUN
ajst-19207	162	6	126	126	NUM
ajst-19207	162	7	(	(	PUNCT
ajst-19207	162	8	2023	2023	NUM
ajst-19207	162	9	):	):	PUNCT
ajst-19207	162	10	107110	107110	NUM
ajst-19207	162	11	.	.	PUNCT
ajst-19207	163	1	[	[	X
ajst-19207	163	2	18	18	NUM
ajst-19207	163	3	]	]	X
ajst-19207	163	4	zhou	zhou	PROPN
ajst-19207	163	5	,	,	PUNCT
ajst-19207	163	6	yucheng	yucheng	PROPN
ajst-19207	163	7	,	,	PUNCT
ajst-19207	163	8	et	et	PROPN
ajst-19207	163	9	al	al	PROPN
ajst-19207	163	10	.	.	PUNCT
ajst-19207	164	1	"	"	PUNCT
ajst-19207	164	2	visual	visual	ADJ
ajst-19207	164	3	in	in	ADP
ajst-19207	164	4	-	-	PUNCT
ajst-19207	164	5	context	context	NOUN
ajst-19207	164	6	learning	learning	NOUN
ajst-19207	164	7	for	for	ADP
ajst-19207	164	8	large	large	ADJ
ajst-19207	164	9	vision	vision	NOUN
ajst-19207	164	10	-	-	PUNCT
ajst-19207	164	11	language	language	NOUN
ajst-19207	164	12	models	model	NOUN
ajst-19207	164	13	.	.	PUNCT
ajst-19207	164	14	"	"	PUNCT
ajst-19207	165	1	arxiv	arxiv	PROPN
ajst-19207	165	2	preprint	preprint	NOUN
ajst-19207	165	3	arxiv	arxiv	PROPN
ajst-19207	165	4	:	:	PUNCT
ajst-19207	165	5	2402.11574	2402.11574	NUM
ajst-19207	165	6	(	(	PUNCT
ajst-19207	165	7	2024	2024	NUM
ajst-19207	165	8	)	)	PUNCT
ajst-19207	165	9	.	.	PUNCT
ajst-19207	166	1	[	[	X
ajst-19207	166	2	19	19	NUM
ajst-19207	166	3	]	]	X
ajst-19207	166	4	zhou	zhou	PROPN
ajst-19207	166	5	,	,	PUNCT
ajst-19207	166	6	yucheng	yucheng	PROPN
ajst-19207	166	7	,	,	PUNCT
ajst-19207	166	8	et	et	PROPN
ajst-19207	166	9	al	al	PROPN
ajst-19207	166	10	.	.	PUNCT
ajst-19207	166	11	"	"	PUNCT
ajst-19207	166	12	thread	thread	NOUN
ajst-19207	166	13	of	of	ADP
ajst-19207	166	14	thought	thought	NOUN
ajst-19207	166	15	unraveling	unravel	VERB
ajst-19207	166	16	chaotic	chaotic	ADJ
ajst-19207	166	17	contexts	contexts	NOUN
ajst-19207	166	18	.	.	PUNCT
ajst-19207	166	19	"	"	PUNCT
ajst-19207	167	1	arxiv	arxiv	PROPN
ajst-19207	167	2	preprint	preprint	VERB
ajst-19207	167	3	arxiv:2311.08734	arxiv:2311.08734	NUM
ajst-19207	167	4	(	(	PUNCT
ajst-19207	167	5	2023	2023	NUM
ajst-19207	167	6	)	)	PUNCT
ajst-19207	167	7	.	.	PUNCT
ajst-19207	168	1	[	[	X
ajst-19207	168	2	20	20	NUM
ajst-19207	168	3	]	]	X
ajst-19207	168	4	zhou	zhou	PROPN
ajst-19207	168	5	,	,	PUNCT
ajst-19207	168	6	yucheng	yucheng	PROPN
ajst-19207	168	7	,	,	PUNCT
ajst-19207	168	8	et	et	PROPN
ajst-19207	168	9	al	al	PROPN
ajst-19207	168	10	.	.	PUNCT
ajst-19207	169	1	"	"	PUNCT
ajst-19207	169	2	claret	claret	NOUN
ajst-19207	169	3	:	:	PUNCT
ajst-19207	169	4	pre	pre	ADJ
ajst-19207	169	5	-	-	VERB
ajst-19207	169	6	training	train	VERB
ajst-19207	169	7	a	a	DET
ajst-19207	169	8	correlation	correlation	NOUN
ajst-19207	169	9	-	-	PUNCT
ajst-19207	169	10	aware	aware	ADJ
ajst-19207	169	11	context	context	NOUN
ajst-19207	169	12	-	-	PUNCT
ajst-19207	169	13	to	to	ADP
ajst-19207	169	14	-	-	PUNCT
ajst-19207	169	15	event	event	NOUN
ajst-19207	169	16	transformer	transformer	NOUN
ajst-19207	169	17	for	for	ADP
ajst-19207	169	18	event	event	NOUN
ajst-19207	169	19	-	-	PUNCT
ajst-19207	169	20	centric	centric	ADJ
ajst-19207	169	21	generation	generation	NOUN
ajst-19207	169	22	and	and	CCONJ
ajst-19207	169	23	classification	classification	NOUN
ajst-19207	169	24	.	.	PUNCT
ajst-19207	169	25	"	"	PUNCT
ajst-19207	170	1	arxiv	arxiv	PROPN
ajst-19207	170	2	preprint	preprint	NOUN
ajst-19207	170	3	arxiv:2203.02225	arxiv:2203.02225	PROPN
ajst-19207	170	4	(	(	PUNCT
ajst-19207	170	5	2022	2022	NUM
ajst-19207	170	6	)	)	PUNCT
ajst-19207	170	7	.	.	PUNCT
ajst-19207	171	1	[	[	X
ajst-19207	171	2	21	21	NUM
ajst-19207	171	3	]	]	X
ajst-19207	171	4	tian	tian	PROPN
ajst-19207	171	5	,	,	PUNCT
ajst-19207	171	6	jiwei	jiwei	PROPN
ajst-19207	171	7	,	,	PUNCT
ajst-19207	171	8	et	et	PROPN
ajst-19207	171	9	al	al	PROPN
ajst-19207	171	10	.	.	PUNCT
ajst-19207	171	11	"	"	PUNCT
ajst-19207	171	12	lesson	lesson	NOUN
ajst-19207	171	13	:	:	PUNCT
ajst-19207	171	14	multi	multi	ADJ
ajst-19207	171	15	-	-	ADJ
ajst-19207	171	16	label	label	ADJ
ajst-19207	171	17	adversarial	adversarial	ADJ
ajst-19207	171	18	false	false	ADJ
ajst-19207	171	19	data	datum	NOUN
ajst-19207	171	20	injection	injection	NOUN
ajst-19207	171	21	attack	attack	NOUN
ajst-19207	171	22	for	for	ADP
ajst-19207	171	23	deep	deep	ADJ
ajst-19207	171	24	learning	learn	VERB
ajst-19207	171	25	locational	locational	ADJ
ajst-19207	171	26	detection	detection	NOUN
ajst-19207	171	27	.	.	PUNCT
ajst-19207	171	28	"	"	PUNCT
ajst-19207	172	1	ieee	ieee	NOUN
ajst-19207	172	2	transactions	transaction	NOUN
ajst-19207	172	3	on	on	ADP
ajst-19207	172	4	dependable	dependable	ADJ
ajst-19207	172	5	and	and	CCONJ
ajst-19207	172	6	secure	secure	ADJ
ajst-19207	172	7	computing	computing	NOUN
ajst-19207	172	8	(	(	PUNCT
ajst-19207	172	9	2024	2024	NUM
ajst-19207	172	10	)	)	PUNCT
ajst-19207	172	11	.	.	PUNCT
ajst-19207	173	1	[	[	X
ajst-19207	173	2	22	22	NUM
ajst-19207	173	3	]	]	X
ajst-19207	173	4	tian	tian	PROPN
ajst-19207	173	5	,	,	PUNCT
ajst-19207	173	6	jiwei	jiwei	PROPN
ajst-19207	173	7	,	,	PUNCT
ajst-19207	173	8	et	et	PROPN
ajst-19207	173	9	al	al	PROPN
ajst-19207	173	10	.	.	PUNCT
ajst-19207	174	1	"	"	PUNCT
ajst-19207	174	2	adversarial	adversarial	ADJ
ajst-19207	174	3	attacks	attack	NOUN
ajst-19207	174	4	and	and	CCONJ
ajst-19207	174	5	defenses	defense	NOUN
ajst-19207	174	6	for	for	ADP
ajst-19207	174	7	deeplearning	deeplearning	NOUN
ajst-19207	174	8	-	-	PUNCT
ajst-19207	174	9	based	base	VERB
ajst-19207	174	10	unmanned	unmanned	ADJ
ajst-19207	174	11	aerial	aerial	ADJ
ajst-19207	174	12	vehicles	vehicle	NOUN
ajst-19207	174	13	.	.	PUNCT
ajst-19207	174	14	"	"	PUNCT
ajst-19207	175	1	ieee	ieee	NOUN
ajst-19207	175	2	internet	internet	NOUN
ajst-19207	175	3	of	of	ADP
ajst-19207	175	4	things	thing	NOUN
ajst-19207	175	5	journal	journal	NOUN
ajst-19207	175	6	9.22	9.22	NUM
ajst-19207	175	7	(	(	PUNCT
ajst-19207	175	8	2021	2021	NUM
ajst-19207	175	9	):	):	PUNCT
ajst-19207	175	10	22399	22399	NUM
ajst-19207	175	11	-	-	SYM
ajst-19207	175	12	22409	22409	NUM
ajst-19207	175	13	.	.	PUNCT
ajst-19207	176	1	[	[	X
ajst-19207	176	2	23	23	NUM
ajst-19207	176	3	]	]	X
ajst-19207	176	4	wu	wu	PROPN
ajst-19207	176	5	,	,	PUNCT
ajst-19207	176	6	jing	jing	PROPN
ajst-19207	176	7	,	,	PUNCT
ajst-19207	176	8	et	et	PROPN
ajst-19207	176	9	al	al	PROPN
ajst-19207	176	10	.	.	PUNCT
ajst-19207	177	1	"	"	PUNCT
ajst-19207	177	2	switchtab	switchtab	NOUN
ajst-19207	177	3	:	:	PUNCT
ajst-19207	177	4	switched	switch	VERB
ajst-19207	177	5	autoencoders	autoencoder	NOUN
ajst-19207	177	6	are	be	AUX
ajst-19207	177	7	effective	effective	ADJ
ajst-19207	177	8	tabular	tabular	NOUN
ajst-19207	177	9	learners	learner	NOUN
ajst-19207	177	10	.	.	PUNCT
ajst-19207	177	11	"	"	PUNCT
ajst-19207	178	1	arxiv	arxiv	PROPN
ajst-19207	178	2	preprint	preprint	NOUN
ajst-19207	178	3	arxiv	arxiv	PROPN
ajst-19207	178	4	:	:	PUNCT
ajst-19207	178	5	2401.02013	2401.02013	NUM
ajst-19207	178	6	(	(	PUNCT
ajst-19207	178	7	2024	2024	NUM
ajst-19207	178	8	)	)	PUNCT
ajst-19207	178	9	.	.	PUNCT
ajst-19207	179	1	[	[	X
ajst-19207	179	2	24	24	NUM
ajst-19207	179	3	]	]	X
ajst-19207	179	4	chen	chen	PROPN
ajst-19207	179	5	,	,	PUNCT
ajst-19207	179	6	suiyao	suiyao	PROPN
ajst-19207	179	7	,	,	PUNCT
ajst-19207	179	8	et	et	PROPN
ajst-19207	179	9	al	al	PROPN
ajst-19207	179	10	.	.	PUNCT
ajst-19207	179	11	"	"	PUNCT
ajst-19207	179	12	recontab	recontab	NOUN
ajst-19207	179	13	:	:	PUNCT
ajst-19207	179	14	regularized	regularize	VERB
ajst-19207	179	15	contrastive	contrastive	ADJ
ajst-19207	179	16	representation	representation	NOUN
ajst-19207	179	17	learning	learn	VERB
ajst-19207	179	18	for	for	ADP
ajst-19207	179	19	tabular	tabular	PROPN
ajst-19207	179	20	data	datum	NOUN
ajst-19207	179	21	.	.	PUNCT
ajst-19207	179	22	"	"	PUNCT
ajst-19207	180	1	arxiv	arxiv	PROPN
ajst-19207	180	2	preprint	preprint	NOUN
ajst-19207	180	3	arxiv:2310.18541	arxiv:2310.18541	NOUN
ajst-19207	180	4	(	(	PUNCT
ajst-19207	180	5	2023	2023	NUM
ajst-19207	180	6	)	)	PUNCT
ajst-19207	180	7	.	.	PUNCT
ajst-19207	181	1	[	[	X
ajst-19207	181	2	25	25	NUM
ajst-19207	181	3	]	]	X
ajst-19207	181	4	chen	chen	PROPN
ajst-19207	181	5	,	,	PUNCT
ajst-19207	181	6	suiyao	suiyao	PROPN
ajst-19207	181	7	,	,	PUNCT
ajst-19207	181	8	et	et	PROPN
ajst-19207	181	9	al	al	PROPN
ajst-19207	181	10	.	.	PUNCT
ajst-19207	182	1	"	"	PUNCT
ajst-19207	182	2	claims	claim	VERB
ajst-19207	182	3	data	data	NOUN
ajst-19207	182	4	-	-	PUNCT
ajst-19207	182	5	driven	drive	VERB
ajst-19207	182	6	modeling	modeling	NOUN
ajst-19207	182	7	of	of	ADP
ajst-19207	182	8	hospital	hospital	NOUN
ajst-19207	182	9	time	time	NOUN
ajst-19207	182	10	-	-	PUNCT
ajst-19207	182	11	to	to	ADP
ajst-19207	182	12	-	-	PUNCT
ajst-19207	182	13	readmission	readmission	NOUN
ajst-19207	182	14	risk	risk	NOUN
ajst-19207	182	15	with	with	ADP
ajst-19207	182	16	latent	latent	NOUN
ajst-19207	182	17	heterogeneity	heterogeneity	NOUN
ajst-19207	182	18	.	.	PUNCT
ajst-19207	182	19	"	"	PUNCT
ajst-19207	183	1	health	health	NOUN
ajst-19207	183	2	care	care	NOUN
ajst-19207	183	3	management	management	PROPN
ajst-19207	183	4	science	science	NOUN
ajst-19207	183	5	22	22	NUM
ajst-19207	183	6	(	(	PUNCT
ajst-19207	183	7	2019	2019	NUM
ajst-19207	183	8	):	):	PUNCT
ajst-19207	183	9	156	156	NUM
ajst-19207	183	10	-	-	SYM
ajst-19207	183	11	179	179	NUM
ajst-19207	183	12	.	.	PUNCT
ajst-19207	184	1	[	[	X
ajst-19207	184	2	26	26	NUM
ajst-19207	184	3	]	]	X
ajst-19207	184	4	chen	chen	PROPN
ajst-19207	184	5	,	,	PUNCT
ajst-19207	184	6	suiyao	suiyao	PROPN
ajst-19207	184	7	,	,	PUNCT
ajst-19207	184	8	et	et	PROPN
ajst-19207	184	9	al	al	PROPN
ajst-19207	184	10	.	.	PUNCT
ajst-19207	185	1	"	"	PUNCT
ajst-19207	185	2	a	a	DET
ajst-19207	185	3	data	data	NOUN
ajst-19207	185	4	heterogeneity	heterogeneity	NOUN
ajst-19207	185	5	modeling	modeling	NOUN
ajst-19207	185	6	and	and	CCONJ
ajst-19207	185	7	quantification	quantification	NOUN
ajst-19207	185	8	approach	approach	NOUN
ajst-19207	185	9	for	for	ADP
ajst-19207	185	10	field	field	NOUN
ajst-19207	185	11	pre	pre	NOUN
ajst-19207	185	12	-	-	NOUN
ajst-19207	185	13	assessment	assessment	NOUN
ajst-19207	185	14	of	of	ADP
ajst-19207	185	15	chlorideinduced	chlorideinduced	ADJ
ajst-19207	185	16	corrosion	corrosion	NOUN
ajst-19207	185	17	in	in	ADP
ajst-19207	185	18	aging	age	VERB
ajst-19207	185	19	infrastructures	infrastructure	NOUN
ajst-19207	185	20	.	.	PUNCT
ajst-19207	185	21	"	"	PUNCT
ajst-19207	186	1	reliability	reliability	NOUN
ajst-19207	186	2	engineering	engineering	NOUN
ajst-19207	186	3	&	&	CCONJ
ajst-19207	186	4	system	system	NOUN
ajst-19207	186	5	safety	safety	NOUN
ajst-19207	186	6	171	171	NUM
ajst-19207	186	7	(	(	PUNCT
ajst-19207	186	8	2018	2018	NUM
ajst-19207	186	9	):	):	PUNCT
ajst-19207	186	10	123	123	NUM
ajst-19207	186	11	-	-	SYM
ajst-19207	186	12	135	135	NUM
ajst-19207	186	13	.	.	PUNCT
ajst-19207	187	1	[	[	X
ajst-19207	187	2	27	27	NUM
ajst-19207	187	3	]	]	PUNCT
ajst-19207	187	4	hsieh	hsieh	PROPN
ajst-19207	187	5	,	,	PUNCT
ajst-19207	187	6	yung	yung	NOUN
ajst-19207	187	7	-	-	PUNCT
ajst-19207	187	8	ting	ting	PROPN
ajst-19207	187	9	,	,	PUNCT
ajst-19207	187	10	khizar	khizar	NOUN
ajst-19207	187	11	anjum	anjum	PROPN
ajst-19207	187	12	,	,	PUNCT
ajst-19207	187	13	and	and	CCONJ
ajst-19207	187	14	dario	dario	NOUN
ajst-19207	187	15	pompili	pompili	NOUN
ajst-19207	187	16	.	.	PUNCT
ajst-19207	188	1	"	"	PUNCT
ajst-19207	188	2	ultralow	ultralow	ADJ
ajst-19207	188	3	power	power	NOUN
ajst-19207	188	4	analog	analog	NOUN
ajst-19207	188	5	recurrent	recurrent	ADJ
ajst-19207	188	6	neural	neural	ADJ
ajst-19207	188	7	network	network	NOUN
ajst-19207	188	8	design	design	NOUN
ajst-19207	188	9	approximation	approximation	NOUN
ajst-19207	188	10	for	for	ADP
ajst-19207	188	11	wireless	wireless	ADJ
ajst-19207	188	12	health	health	NOUN
ajst-19207	188	13	monitoring	monitoring	NOUN
ajst-19207	188	14	.	.	PUNCT
ajst-19207	188	15	"	"	PUNCT
ajst-19207	189	1	2022	2022	NUM
ajst-19207	189	2	ieee	ieee	NOUN
ajst-19207	189	3	19th	19th	ADJ
ajst-19207	189	4	international	international	ADJ
ajst-19207	189	5	conference	conference	NOUN
ajst-19207	189	6	on	on	ADP
ajst-19207	189	7	mobile	mobile	ADJ
ajst-19207	189	8	ad	ad	X
ajst-19207	189	9	hoc	hoc	X
ajst-19207	189	10	and	and	CCONJ
ajst-19207	189	11	smart	smart	ADJ
ajst-19207	189	12	systems	system	NOUN
ajst-19207	189	13	(	(	PUNCT
ajst-19207	189	14	mass	mass	PROPN
ajst-19207	189	15	)	)	PUNCT
ajst-19207	189	16	.	.	PUNCT
ajst-19207	190	1	ieee	ieee	NOUN
ajst-19207	190	2	,	,	PUNCT
ajst-19207	190	3	2022	2022	NUM
ajst-19207	190	4	.	.	PUNCT
ajst-19207	191	1	[	[	X
ajst-19207	191	2	28	28	NUM
ajst-19207	191	3	]	]	X
ajst-19207	191	4	hsieh	hsieh	PROPN
ajst-19207	191	5	,	,	PUNCT
ajst-19207	191	6	yung	yung	PROPN
ajst-19207	191	7	-	-	PUNCT
ajst-19207	191	8	ting	ting	PROPN
ajst-19207	191	9	,	,	PUNCT
ajst-19207	191	10	zhuoran	zhuoran	NOUN
ajst-19207	191	11	qi	qi	PROPN
ajst-19207	191	12	,	,	PUNCT
ajst-19207	191	13	and	and	CCONJ
ajst-19207	191	14	dario	dario	NOUN
ajst-19207	191	15	pompili	pompili	NOUN
ajst-19207	191	16	.	.	PUNCT
ajst-19207	192	1	"	"	PUNCT
ajst-19207	192	2	ml	ml	VERB
ajst-19207	192	3	-	-	PUNCT
ajst-19207	192	4	based	base	VERB
ajst-19207	192	5	joint	joint	ADJ
ajst-19207	192	6	doppler	doppler	NOUN
ajst-19207	192	7	estimation	estimation	NOUN
ajst-19207	192	8	and	and	CCONJ
ajst-19207	192	9	compensation	compensation	NOUN
ajst-19207	192	10	in	in	ADP
ajst-19207	192	11	underwater	underwater	ADJ
ajst-19207	192	12	acoustic	acoustic	ADJ
ajst-19207	192	13	communications	communication	NOUN
ajst-19207	192	14	.	.	PUNCT
ajst-19207	192	15	"	"	PUNCT
ajst-19207	193	1	proceedings	proceeding	NOUN
ajst-19207	193	2	of	of	ADP
ajst-19207	193	3	the	the	DET
ajst-19207	193	4	16th	16th	ADJ
ajst-19207	193	5	international	international	ADJ
ajst-19207	193	6	conference	conference	NOUN
ajst-19207	193	7	on	on	ADP
ajst-19207	193	8	underwater	underwater	ADJ
ajst-19207	193	9	networks	network	NOUN
ajst-19207	193	10	&	&	CCONJ
ajst-19207	193	11	systems	system	NOUN
ajst-19207	193	12	.	.	PUNCT
ajst-19207	194	1	2022	2022	NUM
ajst-19207	194	2	.	.	PUNCT
ajst-19207	195	1	[	[	X
ajst-19207	195	2	29	29	NUM
ajst-19207	195	3	]	]	X
ajst-19207	195	4	sun	sun	NOUN
ajst-19207	195	5	,	,	PUNCT
ajst-19207	195	6	chuanneng	chuanneng	PROPN
ajst-19207	195	7	,	,	PUNCT
ajst-19207	195	8	et	et	PROPN
ajst-19207	195	9	al	al	PROPN
ajst-19207	195	10	.	.	PUNCT
ajst-19207	196	1	"	"	PUNCT
ajst-19207	196	2	fed2kd	fed2kd	NOUN
ajst-19207	196	3	:	:	PUNCT
ajst-19207	196	4	heterogeneous	heterogeneous	ADJ
ajst-19207	196	5	federated	federated	ADJ
ajst-19207	196	6	learning	learning	NOUN
ajst-19207	196	7	for	for	ADP
ajst-19207	196	8	pandemic	pandemic	ADJ
ajst-19207	196	9	risk	risk	NOUN
ajst-19207	196	10	assessment	assessment	NOUN
ajst-19207	196	11	via	via	ADP
ajst-19207	196	12	two	two	NUM
ajst-19207	196	13	-	-	PUNCT
ajst-19207	196	14	way	way	NOUN
ajst-19207	196	15	knowledge	knowledge	NOUN
ajst-19207	196	16	distillation	distillation	NOUN
ajst-19207	196	17	.	.	PUNCT
ajst-19207	196	18	"	"	PUNCT
ajst-19207	197	1	2022	2022	NUM
ajst-19207	197	2	17th	17th	NOUN
ajst-19207	197	3	wireless	wireless	ADJ
ajst-19207	197	4	on	on	ADP
ajst-19207	197	5	-	-	PUNCT
ajst-19207	197	6	demand	demand	NOUN
ajst-19207	197	7	network	network	NOUN
ajst-19207	197	8	systems	system	NOUN
ajst-19207	197	9	and	and	CCONJ
ajst-19207	197	10	services	service	NOUN
ajst-19207	197	11	conference	conference	NOUN
ajst-19207	197	12	(	(	PUNCT
ajst-19207	197	13	wons	wons	PROPN
ajst-19207	197	14	)	)	PUNCT
ajst-19207	197	15	.	.	PUNCT
ajst-19207	198	1	ieee	ieee	PROPN
ajst-19207	198	2	,	,	PUNCT
ajst-19207	198	3	2022	2022	NUM
ajst-19207	198	4	.	.	PUNCT
ajst-19207	199	1	[	[	X
ajst-19207	199	2	30	30	NUM
ajst-19207	199	3	]	]	X
ajst-19207	199	4	sun	sun	NOUN
ajst-19207	199	5	,	,	PUNCT
ajst-19207	199	6	chuanneng	chuanneng	PROPN
ajst-19207	199	7	,	,	PUNCT
ajst-19207	199	8	songjun	songjun	PROPN
ajst-19207	199	9	huang	huang	PROPN
ajst-19207	199	10	,	,	PUNCT
ajst-19207	199	11	and	and	CCONJ
ajst-19207	199	12	dario	dario	NOUN
ajst-19207	199	13	pompili	pompili	NOUN
ajst-19207	199	14	.	.	PUNCT
ajst-19207	200	1	"	"	PUNCT
ajst-19207	200	2	hmaac	hmaac	NOUN
ajst-19207	200	3	:	:	PUNCT
ajst-19207	200	4	hierarchical	hierarchical	ADJ
ajst-19207	200	5	multi	multi	ADJ
ajst-19207	200	6	-	-	ADJ
ajst-19207	200	7	agent	agent	ADJ
ajst-19207	200	8	actor	actor	NOUN
ajst-19207	200	9	-	-	PUNCT
ajst-19207	200	10	critic	critic	NOUN
ajst-19207	200	11	for	for	ADP
ajst-19207	200	12	aerial	aerial	ADJ
ajst-19207	200	13	search	search	NOUN
ajst-19207	200	14	with	with	ADP
ajst-19207	200	15	explicit	explicit	ADJ
ajst-19207	200	16	coordination	coordination	NOUN
ajst-19207	200	17	modeling	modeling	NOUN
ajst-19207	200	18	.	.	PUNCT
ajst-19207	200	19	"	"	PUNCT
ajst-19207	201	1	2023	2023	NUM
ajst-19207	201	2	ieee	ieee	NOUN
ajst-19207	201	3	international	international	ADJ
ajst-19207	201	4	conference	conference	NOUN
ajst-19207	201	5	on	on	ADP
ajst-19207	201	6	robotics	robotic	NOUN
ajst-19207	201	7	and	and	CCONJ
ajst-19207	201	8	automation	automation	NOUN
ajst-19207	201	9	(	(	PUNCT
ajst-19207	201	10	icra	icra	PROPN
ajst-19207	201	11	)	)	PUNCT
ajst-19207	201	12	.	.	PUNCT
ajst-19207	202	1	ieee	ieee	PROPN
ajst-19207	202	2	,	,	PUNCT
ajst-19207	202	3	2023	2023	NUM
ajst-19207	202	4	.	.	PUNCT
ajst-19207	203	1	[	[	X
ajst-19207	203	2	31	31	NUM
ajst-19207	203	3	]	]	X
ajst-19207	203	4	sun	sun	NOUN
ajst-19207	203	5	,	,	PUNCT
ajst-19207	203	6	chuanneng	chuanneng	PROPN
ajst-19207	203	7	,	,	PUNCT
ajst-19207	203	8	et	et	PROPN
ajst-19207	203	9	al	al	PROPN
ajst-19207	203	10	.	.	PUNCT
ajst-19207	204	1	"	"	PUNCT
ajst-19207	204	2	contextual	contextual	ADJ
ajst-19207	204	3	biasing	biasing	NOUN
ajst-19207	204	4	of	of	ADP
ajst-19207	204	5	named	name	VERB
ajst-19207	204	6	-	-	PUNCT
ajst-19207	204	7	entities	entity	NOUN
ajst-19207	204	8	with	with	ADP
ajst-19207	204	9	large	large	ADJ
ajst-19207	204	10	language	language	NOUN
ajst-19207	204	11	models	model	NOUN
ajst-19207	204	12	.	.	PUNCT
ajst-19207	204	13	"	"	PUNCT
ajst-19207	205	1	arxiv	arxiv	PROPN
ajst-19207	205	2	preprint	preprint	NOUN
ajst-19207	205	3	arxiv	arxiv	PROPN
ajst-19207	205	4	:	:	PUNCT
ajst-19207	205	5	2309.00723	2309.00723	NUM
ajst-19207	205	6	(	(	PUNCT
ajst-19207	205	7	2023	2023	NUM
ajst-19207	205	8	)	)	PUNCT
ajst-19207	205	9	.	.	PUNCT
ajst-19207	206	1	[	[	X
ajst-19207	206	2	32	32	NUM
ajst-19207	206	3	]	]	X
ajst-19207	206	4	younis	younis	PROPN
ajst-19207	206	5	,	,	PUNCT
ajst-19207	206	6	ayman	ayman	PROPN
ajst-19207	206	7	,	,	PUNCT
ajst-19207	206	8	chuanneng	chuanneng	PROPN
ajst-19207	206	9	sun	sun	PROPN
ajst-19207	206	10	,	,	PUNCT
ajst-19207	206	11	and	and	CCONJ
ajst-19207	206	12	dario	dario	NOUN
ajst-19207	206	13	pompili	pompili	NOUN
ajst-19207	206	14	.	.	PUNCT
ajst-19207	207	1	"	"	PUNCT
ajst-19207	207	2	communication	communication	NOUN
ajst-19207	207	3	-	-	PUNCT
ajst-19207	207	4	efficient	efficient	ADJ
ajst-19207	207	5	federated	federated	ADJ
ajst-19207	207	6	learning	learning	NOUN
ajst-19207	207	7	design	design	NOUN
ajst-19207	207	8	with	with	ADP
ajst-19207	207	9	fronthaul	fronthaul	NOUN
ajst-19207	207	10	awareness	awareness	NOUN
ajst-19207	207	11	in	in	ADP
ajst-19207	207	12	ng	ng	PROPN
ajst-19207	207	13	-	-	PUNCT
ajst-19207	207	14	rans	ran	NOUN
ajst-19207	207	15	.	.	PUNCT
ajst-19207	207	16	"	"	PUNCT
ajst-19207	208	1	2022	2022	NUM
ajst-19207	208	2	ieee	ieee	NOUN
ajst-19207	208	3	19th	19th	ADJ
ajst-19207	208	4	international	international	ADJ
ajst-19207	208	5	conference	conference	NOUN
ajst-19207	208	6	on	on	ADP
ajst-19207	208	7	mobile	mobile	ADJ
ajst-19207	208	8	ad	ad	X
ajst-19207	208	9	hoc	hoc	X
ajst-19207	208	10	and	and	CCONJ
ajst-19207	208	11	smart	smart	ADJ
ajst-19207	208	12	systems	system	NOUN
ajst-19207	208	13	(	(	PUNCT
ajst-19207	208	14	mass	mass	PROPN
ajst-19207	208	15	)	)	PUNCT
ajst-19207	208	16	.	.	PUNCT
ajst-19207	209	1	ieee	ieee	NOUN
ajst-19207	209	2	,	,	PUNCT
ajst-19207	209	3	2022	2022	NUM
ajst-19207	209	4	.	.	PUNCT
ajst-19207	210	1	[	[	X
ajst-19207	210	2	33	33	NUM
ajst-19207	210	3	]	]	X
ajst-19207	210	4	flynn	flynn	PROPN
ajst-19207	210	5	,	,	PUNCT
ajst-19207	210	6	patrick	patrick	PROPN
ajst-19207	210	7	,	,	PUNCT
ajst-19207	210	8	xinyao	xinyao	NOUN
ajst-19207	210	9	yi	yi	PROPN
ajst-19207	210	10	,	,	PUNCT
ajst-19207	210	11	and	and	CCONJ
ajst-19207	210	12	yonghong	yonghong	PROPN
ajst-19207	210	13	yan	yan	PROPN
ajst-19207	210	14	.	.	PUNCT
ajst-19207	211	1	"	"	PUNCT
ajst-19207	211	2	exploring	explore	VERB
ajst-19207	211	3	source	source	NOUN
ajst-19207	211	4	-	-	PUNCT
ajst-19207	211	5	to	to	ADP
ajst-19207	211	6	-	-	PUNCT
ajst-19207	211	7	source	source	NOUN
ajst-19207	211	8	compiler	compiler	NOUN
ajst-19207	211	9	transformation	transformation	NOUN
ajst-19207	211	10	of	of	ADP
ajst-19207	211	11	openmp	openmp	PROPN
ajst-19207	211	12	simd	simd	PROPN
ajst-19207	211	13	constructs	construct	NOUN
ajst-19207	211	14	for	for	ADP
ajst-19207	211	15	intel	intel	PROPN
ajst-19207	211	16	avx	avx	PROPN
ajst-19207	211	17	and	and	CCONJ
ajst-19207	211	18	arm	arm	NOUN
ajst-19207	211	19	sve	sve	NOUN
ajst-19207	211	20	vector	vector	NOUN
ajst-19207	211	21	architectures	architecture	NOUN
ajst-19207	211	22	.	.	PUNCT
ajst-19207	211	23	"	"	PUNCT
ajst-19207	211	24	proceedings	proceeding	NOUN
ajst-19207	211	25	of	of	ADP
ajst-19207	211	26	the	the	DET
ajst-19207	211	27	thirteenth	thirteenth	ADJ
ajst-19207	211	28	international	international	ADJ
ajst-19207	211	29	workshop	workshop	NOUN
ajst-19207	211	30	on	on	ADP
ajst-19207	211	31	programming	programming	NOUN
ajst-19207	211	32	models	model	NOUN
ajst-19207	211	33	and	and	CCONJ
ajst-19207	211	34	applications	application	NOUN
ajst-19207	211	35	for	for	ADP
ajst-19207	211	36	multicores	multicore	NOUN
ajst-19207	211	37	and	and	CCONJ
ajst-19207	211	38	manycores	manycore	NOUN
ajst-19207	211	39	.	.	PUNCT
ajst-19207	212	1	2022	2022	NUM
ajst-19207	212	2	.	.	PUNCT
ajst-19207	213	1	[	[	X
ajst-19207	213	2	34	34	NUM
ajst-19207	213	3	]	]	SYM
ajst-19207	213	4	yi	yi	PROPN
ajst-19207	213	5	,	,	PUNCT
ajst-19207	213	6	xinyao	xinyao	PROPN
ajst-19207	213	7	,	,	PUNCT
ajst-19207	213	8	et	et	PROPN
ajst-19207	213	9	al	al	PROPN
ajst-19207	213	10	.	.	PUNCT
ajst-19207	214	1	"	"	PUNCT
ajst-19207	214	2	cudamicrobench	cudamicrobench	NOUN
ajst-19207	214	3	:	:	PUNCT
ajst-19207	214	4	microbenchmarks	microbenchmark	NOUN
ajst-19207	214	5	to	to	PART
ajst-19207	214	6	assist	assist	VERB
ajst-19207	214	7	cuda	cuda	NOUN
ajst-19207	214	8	performance	performance	NOUN
ajst-19207	214	9	programming	programming	NOUN
ajst-19207	214	10	.	.	PUNCT
ajst-19207	214	11	"	"	PUNCT
ajst-19207	215	1	2021	2021	NUM
ajst-19207	215	2	ieee	ieee	PROPN
ajst-19207	215	3	international	international	PROPN
ajst-19207	215	4	parallel	parallel	ADJ
ajst-19207	215	5	and	and	CCONJ
ajst-19207	215	6	distributed	distributed	ADJ
ajst-19207	215	7	processing	processing	NOUN
ajst-19207	215	8	symposium	symposium	NOUN
ajst-19207	215	9	workshops	workshop	NOUN
ajst-19207	215	10	(	(	PUNCT
ajst-19207	215	11	ipdpsw	ipdpsw	NOUN
ajst-19207	215	12	)	)	PUNCT
ajst-19207	215	13	.	.	PUNCT
ajst-19207	216	1	ieee	ieee	NOUN
ajst-19207	216	2	,	,	PUNCT
ajst-19207	216	3	2021	2021	NUM
ajst-19207	216	4	.	.	PUNCT
ajst-19207	217	1	[	[	X
ajst-19207	217	2	35	35	NUM
ajst-19207	217	3	]	]	SYM
ajst-19207	217	4	li	li	PROPN
ajst-19207	217	5	,	,	PUNCT
ajst-19207	217	6	xiaying	xiaying	PROPN
ajst-19207	217	7	,	,	PUNCT
ajst-19207	217	8	belle	belle	PROPN
ajst-19207	217	9	li	li	PROPN
ajst-19207	217	10	,	,	PUNCT
ajst-19207	217	11	and	and	CCONJ
ajst-19207	217	12	su	su	PROPN
ajst-19207	217	13	-	-	PUNCT
ajst-19207	217	14	je	je	PROPN
ajst-19207	217	15	cho	cho	PROPN
ajst-19207	217	16	.	.	PUNCT
ajst-19207	218	1	"	"	PUNCT
ajst-19207	218	2	empowering	empower	VERB
ajst-19207	218	3	chinese	chinese	ADJ
ajst-19207	218	4	language	language	NOUN
ajst-19207	218	5	learners	learner	NOUN
ajst-19207	218	6	from	from	ADP
ajst-19207	218	7	low	low	ADJ
ajst-19207	218	8	-	-	PUNCT
ajst-19207	218	9	income	income	NOUN
ajst-19207	218	10	families	family	NOUN
ajst-19207	218	11	to	to	PART
ajst-19207	218	12	improve	improve	VERB
ajst-19207	218	13	their	their	PRON
ajst-19207	218	14	chinese	chinese	ADJ
ajst-19207	218	15	writing	writing	NOUN
ajst-19207	218	16	with	with	ADP
ajst-19207	218	17	chatgpt	chatgpt	NOUN
ajst-19207	218	18	’s	’s	PART
ajst-19207	218	19	assistance	assistance	NOUN
ajst-19207	218	20	afterschool	afterschool	NOUN
ajst-19207	218	21	.	.	PUNCT
ajst-19207	218	22	"	"	PUNCT
ajst-19207	218	23	languages	language	VERB
ajst-19207	218	24	8.4	8.4	NUM
ajst-19207	218	25	(	(	PUNCT
ajst-19207	218	26	2023	2023	NUM
ajst-19207	218	27	):	):	PUNCT
ajst-19207	218	28	238	238	NUM
ajst-19207	218	29	.	.	PUNCT
ajst-19207	219	1	[	[	X
ajst-19207	219	2	36	36	NUM
ajst-19207	219	3	]	]	X
ajst-19207	219	4	xie	xie	PROPN
ajst-19207	219	5	,	,	PUNCT
ajst-19207	219	6	ying	ying	PROPN
ajst-19207	219	7	,	,	PUNCT
ajst-19207	219	8	et	et	PROPN
ajst-19207	219	9	al	al	PROPN
ajst-19207	219	10	.	.	PUNCT
ajst-19207	220	1	"	"	PUNCT
ajst-19207	220	2	advancing	advance	VERB
ajst-19207	220	3	legal	legal	ADJ
ajst-19207	220	4	citation	citation	NOUN
ajst-19207	220	5	text	text	NOUN
ajst-19207	220	6	classification	classification	NOUN
ajst-19207	220	7	a	a	DET
ajst-19207	220	8	conv1d	conv1d	ADV
ajst-19207	220	9	-	-	PUNCT
ajst-19207	220	10	based	base	VERB
ajst-19207	220	11	approach	approach	NOUN
ajst-19207	220	12	for	for	ADP
ajst-19207	220	13	multi	multi	ADJ
ajst-19207	220	14	-	-	ADJ
ajst-19207	220	15	class	class	ADJ
ajst-19207	220	16	classification	classification	NOUN
ajst-19207	220	17	.	.	PUNCT
ajst-19207	220	18	"	"	PUNCT
ajst-19207	220	19	journal	journal	NOUN
ajst-19207	220	20	of	of	ADP
ajst-19207	220	21	theory	theory	NOUN
ajst-19207	220	22	and	and	CCONJ
ajst-19207	220	23	practice	practice	NOUN
ajst-19207	220	24	of	of	ADP
ajst-19207	220	25	engineering	engineer	VERB
ajst-19207	220	26	science	science	NOUN
ajst-19207	220	27	4.02	4.02	NUM
ajst-19207	220	28	(	(	PUNCT
ajst-19207	220	29	2024	2024	NUM
ajst-19207	220	30	):	):	PUNCT
ajst-19207	220	31	15	15	NUM
ajst-19207	220	32	-	-	SYM
ajst-19207	220	33	22	22	NUM
ajst-19207	220	34	.	.	PUNCT
ajst-19207	221	1	[	[	X
ajst-19207	221	2	37	37	NUM
ajst-19207	221	3	]	]	X
ajst-19207	221	4	luo	luo	PROPN
ajst-19207	221	5	,	,	PUNCT
ajst-19207	221	6	yang	yang	PROPN
ajst-19207	221	7	,	,	PUNCT
ajst-19207	221	8	et	et	PROPN
ajst-19207	221	9	al	al	PROPN
ajst-19207	221	10	.	.	PUNCT
ajst-19207	221	11	"	"	PUNCT
ajst-19207	221	12	enhancing	enhance	VERB
ajst-19207	221	13	e	e	NOUN
ajst-19207	221	14	-	-	NOUN
ajst-19207	221	15	commerce	commerce	NOUN
ajst-19207	221	16	chatbots	chatbot	NOUN
ajst-19207	221	17	with	with	ADP
ajst-19207	221	18	falcon-7b	falcon-7b	NOUN
ajst-19207	221	19	and	and	CCONJ
ajst-19207	221	20	16	16	NUM
ajst-19207	221	21	-	-	PUNCT
ajst-19207	221	22	bit	bit	NOUN
ajst-19207	221	23	full	full	ADJ
ajst-19207	221	24	quantization	quantization	NOUN
ajst-19207	221	25	.	.	PUNCT
ajst-19207	221	26	"	"	PUNCT
ajst-19207	221	27	journal	journal	NOUN
ajst-19207	221	28	of	of	ADP
ajst-19207	221	29	theory	theory	NOUN
ajst-19207	221	30	and	and	CCONJ
ajst-19207	221	31	practice	practice	NOUN
ajst-19207	221	32	of	of	ADP
ajst-19207	221	33	engineering	engineer	VERB
ajst-19207	221	34	science	science	NOUN
ajst-19207	221	35	4.02	4.02	NUM
ajst-19207	221	36	(	(	PUNCT
ajst-19207	221	37	2024	2024	NUM
ajst-19207	221	38	):	):	PUNCT
ajst-19207	221	39	52	52	NUM
ajst-19207	221	40	-	-	SYM
ajst-19207	221	41	57	57	NUM
ajst-19207	221	42	.	.	PUNCT
ajst-19207	222	1	[	[	X
ajst-19207	222	2	38	38	NUM
ajst-19207	222	3	]	]	SYM
ajst-19207	222	4	pan	pan	NOUN
ajst-19207	222	5	,	,	PUNCT
ajst-19207	222	6	zhenyu	zhenyu	PROPN
ajst-19207	222	7	,	,	PUNCT
ajst-19207	222	8	et	et	PROPN
ajst-19207	222	9	al	al	PROPN
ajst-19207	222	10	.	.	PUNCT
ajst-19207	222	11	"	"	PUNCT
ajst-19207	222	12	ising	ise	VERB
ajst-19207	222	13	-	-	PUNCT
ajst-19207	222	14	traffic	traffic	NOUN
ajst-19207	222	15	:	:	PUNCT
ajst-19207	222	16	using	use	VERB
ajst-19207	222	17	ising	ise	VERB
ajst-19207	222	18	machine	machine	NOUN
ajst-19207	222	19	learning	learn	VERB
ajst-19207	222	20	to	to	PART
ajst-19207	222	21	predict	predict	VERB
ajst-19207	222	22	traffic	traffic	NOUN
ajst-19207	222	23	congestion	congestion	NOUN
ajst-19207	222	24	under	under	ADP
ajst-19207	222	25	uncertainty	uncertainty	NOUN
ajst-19207	222	26	.	.	PUNCT
ajst-19207	222	27	"	"	PUNCT
ajst-19207	222	28	proceedings	proceeding	NOUN
ajst-19207	222	29	of	of	ADP
ajst-19207	222	30	the	the	DET
ajst-19207	222	31	aaai	aaai	PROPN
ajst-19207	222	32	conference	conference	NOUN
ajst-19207	222	33	on	on	ADP
ajst-19207	222	34	artificial	artificial	ADJ
ajst-19207	222	35	intelligence	intelligence	NOUN
ajst-19207	222	36	.	.	PUNCT
ajst-19207	223	1	vol	vol	NOUN
ajst-19207	223	2	.	.	PUNCT
ajst-19207	224	1	37	37	NUM
ajst-19207	224	2	.	.	PUNCT
ajst-19207	225	1	no	no	INTJ
ajst-19207	225	2	.	.	NOUN
ajst-19207	226	1	8	8	NUM
ajst-19207	226	2	.	.	X
ajst-19207	227	1	2023	2023	NUM
ajst-19207	227	2	.	.	PUNCT
ajst-19207	228	1	[	[	X
ajst-19207	228	2	39	39	NUM
ajst-19207	228	3	]	]	PUNCT
ajst-19207	228	4	pan	pan	PROPN
ajst-19207	228	5	,	,	PUNCT
ajst-19207	228	6	zhenyu	zhenyu	PROPN
ajst-19207	228	7	,	,	PUNCT
ajst-19207	228	8	et	et	PROPN
ajst-19207	228	9	al	al	PROPN
ajst-19207	228	10	.	.	PUNCT
ajst-19207	228	11	"	"	PUNCT
ajst-19207	228	12	cormf	cormf	ADJ
ajst-19207	228	13	:	:	PUNCT
ajst-19207	228	14	criticality	criticality	NOUN
ajst-19207	228	15	-	-	PUNCT
ajst-19207	228	16	ordered	order	VERB
ajst-19207	228	17	recurrent	recurrent	ADJ
ajst-19207	228	18	mean	mean	NOUN
ajst-19207	228	19	field	field	NOUN
ajst-19207	228	20	ising	ise	VERB
ajst-19207	228	21	solver	solver	ADV
ajst-19207	228	22	.	.	PUNCT
ajst-19207	228	23	"	"	PUNCT
ajst-19207	229	1	arxiv	arxiv	PROPN
ajst-19207	229	2	preprint	preprint	NOUN
ajst-19207	229	3	arxiv	arxiv	PROPN
ajst-19207	229	4	:	:	PUNCT
ajst-19207	229	5	2403.03391	2403.03391	NUM
ajst-19207	229	6	(	(	PUNCT
ajst-19207	229	7	2024	2024	NUM
ajst-19207	229	8	)	)	PUNCT
ajst-19207	229	9	.	.	PUNCT
ajst-19207	230	1	[	[	X
ajst-19207	230	2	40	40	NUM
ajst-19207	230	3	]	]	SYM
ajst-19207	230	4	hu	hu	PROPN
ajst-19207	230	5	,	,	PUNCT
ajst-19207	230	6	zhirui	zhirui	PROPN
ajst-19207	230	7	,	,	PUNCT
ajst-19207	230	8	et	et	PROPN
ajst-19207	230	9	al	al	PROPN
ajst-19207	230	10	.	.	PUNCT
ajst-19207	231	1	"	"	PUNCT
ajst-19207	231	2	on	on	ADP
ajst-19207	231	3	the	the	DET
ajst-19207	231	4	design	design	NOUN
ajst-19207	231	5	of	of	ADP
ajst-19207	231	6	quantum	quantum	NOUN
ajst-19207	231	7	graph	graph	NOUN
ajst-19207	231	8	convolutional	convolutional	ADJ
ajst-19207	231	9	neural	neural	ADJ
ajst-19207	231	10	network	network	NOUN
ajst-19207	231	11	in	in	ADP
ajst-19207	231	12	the	the	DET
ajst-19207	231	13	nisq	nisq	PROPN
ajst-19207	231	14	-	-	PUNCT
ajst-19207	231	15	era	era	NOUN
ajst-19207	231	16	and	and	CCONJ
ajst-19207	231	17	beyond	beyond	ADP
ajst-19207	231	18	.	.	PUNCT
ajst-19207	231	19	"	"	PUNCT
ajst-19207	231	20	2022	2022	NUM
ajst-19207	231	21	ieee	ieee	NOUN
ajst-19207	231	22	40th	40th	ADJ
ajst-19207	231	23	international	international	ADJ
ajst-19207	231	24	conference	conference	NOUN
ajst-19207	231	25	on	on	ADP
ajst-19207	231	26	computer	computer	NOUN
ajst-19207	231	27	design	design	NOUN
ajst-19207	231	28	(	(	PUNCT
ajst-19207	231	29	iccd	iccd	PROPN
ajst-19207	231	30	)	)	PUNCT
ajst-19207	231	31	.	.	PUNCT
ajst-19207	231	32	ieee	ieee	NOUN
ajst-19207	231	33	,	,	PUNCT
ajst-19207	231	34	2022	2022	NUM
ajst-19207	231	35	.	.	PUNCT
ajst-19207	232	1	[	[	X
ajst-19207	232	2	41	41	NUM
ajst-19207	232	3	]	]	X
ajst-19207	232	4	chen	chen	PROPN
ajst-19207	232	5	,	,	PUNCT
ajst-19207	232	6	yinda	yinda	PROPN
ajst-19207	232	7	,	,	PUNCT
ajst-19207	232	8	et	et	PROPN
ajst-19207	232	9	al	al	PROPN
ajst-19207	232	10	.	.	PUNCT
ajst-19207	233	1	"	"	PUNCT
ajst-19207	233	2	self	self	NOUN
ajst-19207	233	3	-	-	PUNCT
ajst-19207	233	4	supervised	supervise	VERB
ajst-19207	233	5	neuron	neuron	NOUN
ajst-19207	233	6	segmentation	segmentation	NOUN
ajst-19207	233	7	with	with	ADP
ajst-19207	233	8	multi	multi	ADJ
ajst-19207	233	9	-	-	ADJ
ajst-19207	233	10	agent	agent	ADJ
ajst-19207	233	11	reinforcement	reinforcement	NOUN
ajst-19207	233	12	learning	learning	NOUN
ajst-19207	233	13	.	.	PUNCT
ajst-19207	233	14	"	"	PUNCT
ajst-19207	234	1	arxiv	arxiv	PROPN
ajst-19207	234	2	preprint	preprint	NOUN
ajst-19207	234	3	arxiv	arxiv	PROPN
ajst-19207	234	4	:	:	PUNCT
ajst-19207	234	5	2310.04148	2310.04148	NUM
ajst-19207	234	6	(	(	PUNCT
ajst-19207	234	7	2023	2023	NUM
ajst-19207	234	8	)	)	PUNCT
ajst-19207	234	9	.	.	PUNCT
ajst-19207	235	1	[	[	X
ajst-19207	235	2	42	42	NUM
ajst-19207	235	3	]	]	X
ajst-19207	235	4	chen	chen	PROPN
ajst-19207	235	5	,	,	PUNCT
ajst-19207	235	6	yinda	yinda	PROPN
ajst-19207	235	7	,	,	PUNCT
ajst-19207	235	8	et	et	PROPN
ajst-19207	235	9	al	al	PROPN
ajst-19207	235	10	.	.	PUNCT
ajst-19207	236	1	"	"	PUNCT
ajst-19207	236	2	learning	learn	VERB
ajst-19207	236	3	multiscale	multiscale	ADJ
ajst-19207	236	4	consistency	consistency	NOUN
ajst-19207	236	5	for	for	ADP
ajst-19207	236	6	selfsupervised	selfsupervise	VERB
ajst-19207	236	7	electron	electron	NOUN
ajst-19207	236	8	microscopy	microscopy	NOUN
ajst-19207	236	9	instance	instance	NOUN
ajst-19207	236	10	segmentation	segmentation	NOUN
ajst-19207	236	11	.	.	PUNCT
ajst-19207	236	12	"	"	PUNCT
ajst-19207	237	1	arxiv	arxiv	PROPN
ajst-19207	237	2	preprint	preprint	NOUN
ajst-19207	237	3	arxiv:2308.09917	arxiv:2308.09917	NOUN
ajst-19207	237	4	(	(	PUNCT
ajst-19207	237	5	2023	2023	NUM
ajst-19207	237	6	)	)	PUNCT
ajst-19207	237	7	.	.	PUNCT
ajst-19207	238	1	[	[	X
ajst-19207	238	2	43	43	NUM
ajst-19207	238	3	]	]	X
ajst-19207	238	4	chen	chen	PROPN
ajst-19207	238	5	,	,	PUNCT
ajst-19207	238	6	yinda	yinda	PROPN
ajst-19207	238	7	,	,	PUNCT
ajst-19207	238	8	et	et	PROPN
ajst-19207	238	9	al	al	PROPN
ajst-19207	238	10	.	.	PUNCT
ajst-19207	239	1	"	"	PUNCT
ajst-19207	239	2	generative	generative	ADJ
ajst-19207	239	3	text	text	NOUN
ajst-19207	239	4	-	-	PUNCT
ajst-19207	239	5	guided	guide	VERB
ajst-19207	239	6	3d	3d	NUM
ajst-19207	239	7	vision	vision	NOUN
ajst-19207	239	8	-	-	PUNCT
ajst-19207	239	9	language	language	NOUN
ajst-19207	239	10	pretraining	pretraine	VERB
ajst-19207	239	11	for	for	ADP
ajst-19207	239	12	unified	unified	ADJ
ajst-19207	239	13	medical	medical	ADJ
ajst-19207	239	14	image	image	NOUN
ajst-19207	239	15	segmentation	segmentation	NOUN
ajst-19207	239	16	.	.	PUNCT
ajst-19207	239	17	"	"	PUNCT
ajst-19207	240	1	arxiv	arxiv	PROPN
ajst-19207	240	2	preprint	preprint	VERB
ajst-19207	240	3	arxiv:2306.04811	arxiv:2306.04811	NUM
ajst-19207	240	4	(	(	PUNCT
ajst-19207	240	5	2023	2023	NUM
ajst-19207	240	6	)	)	PUNCT
ajst-19207	240	7	.	.	PUNCT
ajst-19207	241	1	[	[	X
ajst-19207	241	2	44	44	NUM
ajst-19207	241	3	]	]	SYM
ajst-19207	241	4	tong	tong	PROPN
ajst-19207	241	5	,	,	PUNCT
ajst-19207	241	6	xin	xin	PROPN
ajst-19207	241	7	,	,	PUNCT
ajst-19207	241	8	et	et	PROPN
ajst-19207	241	9	al	al	PROPN
ajst-19207	241	10	.	.	PUNCT
ajst-19207	242	1	"	"	PUNCT
ajst-19207	242	2	a	a	DET
ajst-19207	242	3	deep‐learning	deep‐learne	VERB
ajst-19207	242	4	approach	approach	NOUN
ajst-19207	242	5	for	for	ADP
ajst-19207	242	6	low‐spatial‐	low‐spatial‐	ADJ
ajst-19207	242	7	coherence	coherence	NOUN
ajst-19207	242	8	imaging	imaging	NOUN
ajst-19207	242	9	in	in	ADP
ajst-19207	242	10	computer‐generated	computer‐generate	VERB
ajst-19207	242	11	holography	holography	NOUN
ajst-19207	242	12	.	.	PUNCT
ajst-19207	242	13	"	"	PUNCT
ajst-19207	243	1	advanced	advanced	ADJ
ajst-19207	243	2	photonics	photonic	NOUN
ajst-19207	243	3	research	research	VERB
ajst-19207	243	4	4.1	4.1	NUM
ajst-19207	243	5	(	(	PUNCT
ajst-19207	243	6	2023	2023	NUM
ajst-19207	243	7	):	):	PUNCT
ajst-19207	243	8	2200264	2200264	NUM
ajst-19207	243	9	.	.	PUNCT
ajst-19207	244	1	[	[	X
ajst-19207	244	2	45	45	NUM
ajst-19207	244	3	]	]	PUNCT
ajst-19207	244	4	xu	xu	PROPN
ajst-19207	244	5	,	,	PUNCT
ajst-19207	244	6	renjun	renjun	PROPN
ajst-19207	244	7	,	,	PUNCT
ajst-19207	244	8	et	et	PROPN
ajst-19207	244	9	al	al	PROPN
ajst-19207	244	10	.	.	PUNCT
ajst-19207	245	1	"	"	PUNCT
ajst-19207	245	2	$	$	SYM
ajst-19207	245	3	e	e	X
ajst-19207	245	4	(	(	PUNCT
ajst-19207	245	5	2	2	NUM
ajst-19207	245	6	)	)	PUNCT
ajst-19207	245	7	$	$	SYM
ajst-19207	245	8	-equivariant	-equivariant	ADJ
ajst-19207	245	9	vision	vision	NOUN
ajst-19207	245	10	transformer	transformer	NOUN
ajst-19207	245	11	.	.	PUNCT
ajst-19207	245	12	"	"	PUNCT
ajst-19207	245	13	uncertainty	uncertainty	NOUN
ajst-19207	245	14	in	in	ADP
ajst-19207	245	15	artificial	artificial	ADJ
ajst-19207	245	16	intelligence	intelligence	NOUN
ajst-19207	245	17	.	.	PUNCT
ajst-19207	246	1	pmlr	pmlr	NOUN
ajst-19207	246	2	,	,	PUNCT
ajst-19207	246	3	2023	2023	NUM
ajst-19207	246	4	.	.	PUNCT
ajst-19207	247	1	310	310	NUM
ajst-19207	248	1	[	[	X
ajst-19207	248	2	46	46	NUM
ajst-19207	248	3	]	]	X
ajst-19207	248	4	gao	gao	PROPN
ajst-19207	248	5	,	,	PUNCT
ajst-19207	248	6	shangde	shangde	NOUN
ajst-19207	248	7	,	,	PUNCT
ajst-19207	248	8	et	et	PROPN
ajst-19207	248	9	al	al	PROPN
ajst-19207	248	10	.	.	PUNCT
ajst-19207	249	1	"	"	PUNCT
ajst-19207	249	2	contrastive	contrastive	ADJ
ajst-19207	249	3	knowledge	knowledge	NOUN
ajst-19207	249	4	amalgamation	amalgamation	NOUN
ajst-19207	249	5	for	for	ADP
ajst-19207	249	6	unsupervised	unsupervised	ADJ
ajst-19207	249	7	image	image	NOUN
ajst-19207	249	8	classification	classification	NOUN
ajst-19207	249	9	.	.	PUNCT
ajst-19207	249	10	"	"	PUNCT
ajst-19207	250	1	international	international	ADJ
ajst-19207	250	2	conference	conference	NOUN
ajst-19207	250	3	on	on	ADP
ajst-19207	250	4	artificial	artificial	ADJ
ajst-19207	250	5	neural	neural	ADJ
ajst-19207	250	6	networks	network	NOUN
ajst-19207	250	7	.	.	PUNCT
ajst-19207	251	1	cham	cham	PROPN
ajst-19207	251	2	:	:	PUNCT
ajst-19207	251	3	springer	springer	NOUN
ajst-19207	251	4	nature	nature	PROPN
ajst-19207	251	5	switzerland	switzerland	PROPN
ajst-19207	251	6	,	,	PUNCT
ajst-19207	251	7	2023	2023	NUM
ajst-19207	251	8	.	.	PUNCT
ajst-19207	252	1	[	[	X
ajst-19207	252	2	47	47	NUM
ajst-19207	252	3	]	]	X
ajst-19207	252	4	shangguan	shangguan	NOUN
ajst-19207	252	5	,	,	PUNCT
ajst-19207	252	6	zhongkai	zhongkai	PROPN
ajst-19207	252	7	,	,	PUNCT
ajst-19207	252	8	zihe	zihe	NOUN
ajst-19207	252	9	zheng	zheng	PROPN
ajst-19207	252	10	,	,	PUNCT
ajst-19207	252	11	and	and	CCONJ
ajst-19207	252	12	lei	lei	PROPN
ajst-19207	252	13	lin	lin	PROPN
ajst-19207	252	14	.	.	PUNCT
ajst-19207	253	1	"	"	PUNCT
ajst-19207	253	2	trend	trend	NOUN
ajst-19207	253	3	and	and	CCONJ
ajst-19207	253	4	thoughts	thought	NOUN
ajst-19207	253	5	:	:	PUNCT
ajst-19207	253	6	understanding	understand	VERB
ajst-19207	253	7	climate	climate	NOUN
ajst-19207	253	8	change	change	NOUN
ajst-19207	253	9	concern	concern	NOUN
ajst-19207	253	10	using	use	VERB
ajst-19207	253	11	machine	machine	NOUN
ajst-19207	253	12	learning	learning	NOUN
ajst-19207	253	13	and	and	CCONJ
ajst-19207	253	14	social	social	ADJ
ajst-19207	253	15	media	medium	NOUN
ajst-19207	253	16	data	datum	NOUN
ajst-19207	253	17	.	.	PUNCT
ajst-19207	253	18	"	"	PUNCT
ajst-19207	254	1	arxiv	arxiv	PROPN
ajst-19207	254	2	preprint	preprint	VERB
ajst-19207	254	3	arxiv:2111.14929	arxiv:2111.14929	NOUN
ajst-19207	254	4	(	(	PUNCT
ajst-19207	254	5	2021	2021	NUM
ajst-19207	254	6	)	)	PUNCT
ajst-19207	254	7	.	.	PUNCT
ajst-19207	255	1	[	[	X
ajst-19207	255	2	48	48	NUM
ajst-19207	255	3	]	]	X
ajst-19207	255	4	shangguan	shangguan	NOUN
ajst-19207	255	5	,	,	PUNCT
ajst-19207	255	6	zhongkai	zhongkai	PROPN
ajst-19207	255	7	,	,	PUNCT
ajst-19207	255	8	et	et	PROPN
ajst-19207	255	9	al	al	PROPN
ajst-19207	255	10	.	.	PUNCT
ajst-19207	255	11	"	"	PUNCT
ajst-19207	255	12	neural	neural	ADJ
ajst-19207	255	13	process	process	NOUN
ajst-19207	255	14	for	for	ADP
ajst-19207	255	15	black	black	ADJ
ajst-19207	255	16	-	-	PUNCT
ajst-19207	255	17	box	box	NOUN
ajst-19207	255	18	model	model	NOUN
ajst-19207	255	19	optimization	optimization	NOUN
ajst-19207	255	20	under	under	ADP
ajst-19207	255	21	bayesian	bayesian	NOUN
ajst-19207	255	22	framework	framework	NOUN
ajst-19207	255	23	.	.	PUNCT
ajst-19207	255	24	"	"	PUNCT
ajst-19207	256	1	arxiv	arxiv	PROPN
ajst-19207	256	2	preprint	preprint	VERB
ajst-19207	256	3	arxiv:2104.02487	arxiv:2104.02487	NOUN
ajst-19207	256	4	(	(	PUNCT
ajst-19207	256	5	2021	2021	NUM
ajst-19207	256	6	)	)	PUNCT
ajst-19207	256	7	.	.	PUNCT
ajst-19207	257	1	[	[	X
ajst-19207	257	2	49	49	NUM
ajst-19207	257	3	]	]	X
ajst-19207	257	4	zang	zang	PROPN
ajst-19207	257	5	,	,	PUNCT
ajst-19207	257	6	hengyi	hengyi	ADJ
ajst-19207	257	7	.	.	PUNCT
ajst-19207	258	1	"	"	PUNCT
ajst-19207	258	2	precision	precision	NOUN
ajst-19207	258	3	calibration	calibration	NOUN
ajst-19207	258	4	of	of	ADP
ajst-19207	258	5	industrial	industrial	ADJ
ajst-19207	258	6	3d	3d	PROPN
ajst-19207	258	7	scanners	scanner	NOUN
ajst-19207	258	8	:	:	PUNCT
ajst-19207	258	9	an	an	DET
ajst-19207	258	10	ai	ai	ADV
ajst-19207	258	11	-	-	PUNCT
ajst-19207	258	12	enhanced	enhance	VERB
ajst-19207	258	13	approach	approach	NOUN
ajst-19207	258	14	for	for	ADP
ajst-19207	258	15	improved	improved	ADJ
ajst-19207	258	16	measurement	measurement	NOUN
ajst-19207	258	17	accuracy	accuracy	NOUN
ajst-19207	258	18	.	.	PUNCT
ajst-19207	258	19	"	"	PUNCT
ajst-19207	259	1	global	global	ADJ
ajst-19207	259	2	academic	academic	ADJ
ajst-19207	259	3	frontiers	frontier	NOUN
ajst-19207	259	4	2.1	2.1	NUM
ajst-19207	259	5	(	(	PUNCT
ajst-19207	259	6	2024	2024	NUM
ajst-19207	259	7	):	):	PUNCT
ajst-19207	259	8	27	27	NUM
ajst-19207	259	9	-	-	SYM
ajst-19207	259	10	37	37	NUM
ajst-19207	259	11	.	.	PUNCT
ajst-19207	260	1	[	[	X
ajst-19207	260	2	50	50	NUM
ajst-19207	260	3	]	]	X
ajst-19207	260	4	wang	wang	PROPN
ajst-19207	260	5	,	,	PUNCT
ajst-19207	260	6	lingyun	lingyun	PROPN
ajst-19207	260	7	,	,	PUNCT
ajst-19207	260	8	jose	jose	PROPN
ajst-19207	260	9	a.	a.	NOUN
ajst-19207	260	10	sahel	sahel	PROPN
ajst-19207	260	11	,	,	PUNCT
ajst-19207	260	12	and	and	CCONJ
ajst-19207	260	13	shaohua	shaohua	PROPN
ajst-19207	260	14	pi	pi	NOUN
ajst-19207	260	15	.	.	PUNCT
ajst-19207	261	1	"	"	PUNCT
ajst-19207	261	2	sub2full	sub2full	NOUN
ajst-19207	261	3	:	:	PUNCT
ajst-19207	261	4	split	split	NOUN
ajst-19207	261	5	spectrum	spectrum	NOUN
ajst-19207	261	6	to	to	PART
ajst-19207	261	7	boost	boost	VERB
ajst-19207	261	8	oct	oct	PROPN
ajst-19207	261	9	despeckling	despeckling	NOUN
ajst-19207	261	10	without	without	ADP
ajst-19207	261	11	clean	clean	ADJ
ajst-19207	261	12	data	datum	NOUN
ajst-19207	261	13	.	.	PUNCT
ajst-19207	261	14	"	"	PUNCT
ajst-19207	262	1	arxiv	arxiv	PROPN
ajst-19207	262	2	preprint	preprint	VERB
ajst-19207	262	3	arxiv:2401.10128	arxiv:2401.10128	NOUN
ajst-19207	262	4	(	(	PUNCT
ajst-19207	262	5	2024	2024	NUM
ajst-19207	262	6	)	)	PUNCT
ajst-19207	262	7	.	.	PUNCT
ajst-19207	263	1	[	[	X
ajst-19207	263	2	51	51	NUM
ajst-19207	263	3	]	]	X
ajst-19207	263	4	wang	wang	PROPN
ajst-19207	263	5	,	,	PUNCT
ajst-19207	263	6	lingyun	lingyun	PROPN
ajst-19207	263	7	,	,	PUNCT
ajst-19207	263	8	et	et	PROPN
ajst-19207	263	9	al	al	PROPN
ajst-19207	263	10	.	.	PUNCT
ajst-19207	264	1	"	"	PUNCT
ajst-19207	264	2	axial	axial	ADJ
ajst-19207	264	3	super	super	ADJ
ajst-19207	264	4	-	-	ADJ
ajst-19207	264	5	resolution	resolution	ADJ
ajst-19207	264	6	optical	optical	ADJ
ajst-19207	264	7	coherence	coherence	NOUN
ajst-19207	264	8	tomography	tomography	NOUN
ajst-19207	264	9	via	via	ADP
ajst-19207	264	10	complex	complex	ADV
ajst-19207	264	11	-	-	PUNCT
ajst-19207	264	12	valued	value	VERB
ajst-19207	264	13	network	network	NOUN
ajst-19207	264	14	.	.	PUNCT
ajst-19207	264	15	"	"	PUNCT
ajst-19207	265	1	physics	physics	PROPN
ajst-19207	265	2	in	in	ADP
ajst-19207	265	3	medicine	medicine	NOUN
ajst-19207	265	4	&	&	CCONJ
ajst-19207	265	5	biology	biology	NOUN
ajst-19207	265	6	68.23	68.23	NUM
ajst-19207	265	7	(	(	PUNCT
ajst-19207	265	8	2023	2023	NUM
ajst-19207	265	9	):	):	PUNCT
ajst-19207	265	10	235016	235016	NUM
ajst-19207	265	11	.	.	PUNCT
ajst-19207	266	1	[	[	X
ajst-19207	266	2	52	52	NUM
ajst-19207	266	3	]	]	X
ajst-19207	266	4	wang	wang	PROPN
ajst-19207	266	5	,	,	PUNCT
ajst-19207	266	6	yishuang	yishuang	PROPN
ajst-19207	266	7	,	,	PUNCT
ajst-19207	266	8	et	et	PROPN
ajst-19207	266	9	al	al	PROPN
ajst-19207	266	10	.	.	PUNCT
ajst-19207	267	1	"	"	PUNCT
ajst-19207	267	2	predicting	predict	VERB
ajst-19207	267	3	nonlinear	nonlinear	ADJ
ajst-19207	267	4	structural	structural	ADJ
ajst-19207	267	5	dynamic	dynamic	ADJ
ajst-19207	267	6	response	response	NOUN
ajst-19207	267	7	of	of	ADP
ajst-19207	267	8	ode	ode	ADJ
ajst-19207	267	9	systems	system	NOUN
ajst-19207	267	10	using	use	VERB
ajst-19207	267	11	constrained	constrain	VERB
ajst-19207	267	12	gaussian	gaussian	ADJ
ajst-19207	267	13	process	process	NOUN
ajst-19207	267	14	regression	regression	NOUN
ajst-19207	267	15	.	.	PUNCT
ajst-19207	267	16	"	"	PUNCT
ajst-19207	268	1	society	society	NOUN
ajst-19207	268	2	for	for	ADP
ajst-19207	268	3	experimental	experimental	ADJ
ajst-19207	268	4	mechanics	mechanic	NOUN
ajst-19207	268	5	annual	annual	ADJ
ajst-19207	268	6	conference	conference	NOUN
ajst-19207	268	7	and	and	CCONJ
ajst-19207	268	8	exposition	exposition	NOUN
ajst-19207	268	9	.	.	PUNCT
ajst-19207	269	1	cham	cham	PROPN
ajst-19207	269	2	:	:	PUNCT
ajst-19207	269	3	springer	springer	NOUN
ajst-19207	269	4	nature	nature	PROPN
ajst-19207	269	5	switzerland	switzerland	PROPN
ajst-19207	269	6	,	,	PUNCT
ajst-19207	269	7	2023	2023	NUM
ajst-19207	269	8	.	.	PUNCT
ajst-19207	270	1	[	[	X
ajst-19207	270	2	53	53	NUM
ajst-19207	270	3	]	]	PUNCT
ajst-19207	270	4	platz	platz	NOUN
ajst-19207	270	5	,	,	PUNCT
ajst-19207	270	6	roland	roland	PROPN
ajst-19207	270	7	,	,	PUNCT
ajst-19207	270	8	xinyue	xinyue	PROPN
ajst-19207	270	9	xu	xu	PROPN
ajst-19207	270	10	,	,	PUNCT
ajst-19207	270	11	and	and	CCONJ
ajst-19207	270	12	sez	sez	NOUN
ajst-19207	270	13	atamturktur	atamturktur	PROPN
ajst-19207	270	14	.	.	PUNCT
ajst-19207	271	1	"	"	PUNCT
ajst-19207	271	2	introducing	introduce	VERB
ajst-19207	271	3	a	a	DET
ajst-19207	271	4	round	round	ADJ
ajst-19207	271	5	-	-	PUNCT
ajst-19207	271	6	robin	robin	NOUN
ajst-19207	271	7	challenge	challenge	NOUN
ajst-19207	271	8	to	to	PART
ajst-19207	271	9	quantify	quantify	VERB
ajst-19207	271	10	model	model	NOUN
ajst-19207	271	11	form	form	NOUN
ajst-19207	271	12	uncertainty	uncertainty	NOUN
ajst-19207	271	13	in	in	ADP
ajst-19207	271	14	passive	passive	ADJ
ajst-19207	271	15	and	and	CCONJ
ajst-19207	271	16	active	active	ADJ
ajst-19207	271	17	vibration	vibration	NOUN
ajst-19207	271	18	isolation	isolation	NOUN
ajst-19207	271	19	.	.	PUNCT
ajst-19207	271	20	"	"	PUNCT
ajst-19207	272	1	society	society	NOUN
ajst-19207	272	2	for	for	ADP
ajst-19207	272	3	experimental	experimental	ADJ
ajst-19207	272	4	mechanics	mechanic	NOUN
ajst-19207	272	5	annual	annual	ADJ
ajst-19207	272	6	conference	conference	NOUN
ajst-19207	272	7	and	and	CCONJ
ajst-19207	272	8	exposition	exposition	NOUN
ajst-19207	272	9	.	.	PUNCT
ajst-19207	273	1	cham	cham	PROPN
ajst-19207	273	2	:	:	PUNCT
ajst-19207	273	3	springer	springer	NOUN
ajst-19207	273	4	nature	nature	PROPN
ajst-19207	273	5	switzerland	switzerland	PROPN
ajst-19207	273	6	,	,	PUNCT
ajst-19207	273	7	2023	2023	NUM
ajst-19207	273	8	.	.	PUNCT
ajst-19207	274	1	[	[	X
ajst-19207	274	2	54	54	NUM
ajst-19207	274	3	]	]	SYM
ajst-19207	274	4	li	li	PROPN
ajst-19207	274	5	,	,	PUNCT
ajst-19207	274	6	lei	lei	PROPN
ajst-19207	274	7	.	.	PUNCT
ajst-19207	274	8	"	"	PUNCT
ajst-19207	274	9	cpseg	cpseg	PROPN
ajst-19207	274	10	:	:	PUNCT
ajst-19207	274	11	finer	fine	ADJ
ajst-19207	274	12	-	-	PUNCT
ajst-19207	274	13	grained	grain	VERB
ajst-19207	274	14	image	image	NOUN
ajst-19207	274	15	semantic	semantic	ADJ
ajst-19207	274	16	segmentation	segmentation	NOUN
ajst-19207	274	17	via	via	ADP
ajst-19207	274	18	chain	chain	NOUN
ajst-19207	274	19	-	-	PUNCT
ajst-19207	274	20	of	of	ADP
ajst-19207	274	21	-	-	PUNCT
ajst-19207	274	22	thought	thought	NOUN
ajst-19207	274	23	language	language	NOUN
ajst-19207	274	24	prompting	prompt	VERB
ajst-19207	274	25	.	.	PUNCT
ajst-19207	274	26	"	"	PUNCT
ajst-19207	275	1	proceedings	proceeding	NOUN
ajst-19207	275	2	of	of	ADP
ajst-19207	275	3	the	the	DET
ajst-19207	275	4	ieee	ieee	NOUN
ajst-19207	275	5	/	/	SYM
ajst-19207	275	6	cvf	cvf	NOUN
ajst-19207	275	7	winter	winter	NOUN
ajst-19207	275	8	conference	conference	NOUN
ajst-19207	275	9	on	on	ADP
ajst-19207	275	10	applications	application	NOUN
ajst-19207	275	11	of	of	ADP
ajst-19207	275	12	computer	computer	NOUN
ajst-19207	275	13	vision	vision	NOUN
ajst-19207	275	14	.	.	PUNCT
ajst-19207	276	1	2024	2024	NUM
ajst-19207	276	2	.	.	PUNCT
ajst-19207	277	1	[	[	X
ajst-19207	277	2	55	55	NUM
ajst-19207	277	3	]	]	SYM
ajst-19207	277	4	li	li	PROPN
ajst-19207	277	5	,	,	PUNCT
ajst-19207	277	6	lei	lei	PROPN
ajst-19207	277	7	.	.	PUNCT
ajst-19207	277	8	"	"	PUNCT
ajst-19207	277	9	segment	segment	VERB
ajst-19207	277	10	any	any	DET
ajst-19207	277	11	building	building	NOUN
ajst-19207	277	12	.	.	PUNCT
ajst-19207	277	13	"	"	PUNCT
ajst-19207	278	1	computer	computer	NOUN
ajst-19207	278	2	graphics	graphic	NOUN
ajst-19207	278	3	international	international	PROPN
ajst-19207	278	4	conference	conference	PROPN
ajst-19207	278	5	.	.	PUNCT
ajst-19207	279	1	cham	cham	PROPN
ajst-19207	279	2	:	:	PUNCT
ajst-19207	279	3	springer	springer	NOUN
ajst-19207	279	4	nature	nature	PROPN
ajst-19207	279	5	switzerland	switzerland	PROPN
ajst-19207	279	6	,	,	PUNCT
ajst-19207	279	7	2023	2023	NUM
ajst-19207	279	8	.	.	PUNCT
ajst-19207	280	1	[	[	X
ajst-19207	280	2	56	56	NUM
ajst-19207	280	3	]	]	SYM
ajst-19207	280	4	li	li	PROPN
ajst-19207	280	5	,	,	PUNCT
ajst-19207	280	6	lei	lei	PROPN
ajst-19207	280	7	,	,	PUNCT
ajst-19207	280	8	et	et	PROPN
ajst-19207	280	9	al	al	PROPN
ajst-19207	280	10	.	.	PUNCT
ajst-19207	281	1	"	"	PUNCT
ajst-19207	281	2	mask	mask	NOUN
ajst-19207	281	3	-	-	PUNCT
ajst-19207	281	4	fpan	fpan	NOUN
ajst-19207	281	5	:	:	PUNCT
ajst-19207	281	6	semi	semi	ADJ
ajst-19207	281	7	-	-	ADJ
ajst-19207	281	8	supervised	supervised	ADJ
ajst-19207	281	9	face	face	NOUN
ajst-19207	281	10	parsing	parsing	NOUN
ajst-19207	281	11	in	in	ADP
ajst-19207	281	12	the	the	DET
ajst-19207	281	13	wild	wild	NOUN
ajst-19207	281	14	with	with	ADP
ajst-19207	281	15	de	de	NOUN
ajst-19207	281	16	-	-	NOUN
ajst-19207	281	17	occlusion	occlusion	NOUN
ajst-19207	281	18	and	and	CCONJ
ajst-19207	281	19	uv	uv	NOUN
ajst-19207	281	20	gan	gan	PROPN
ajst-19207	281	21	.	.	PUNCT
ajst-19207	281	22	"	"	PUNCT
ajst-19207	282	1	computers	computer	NOUN
ajst-19207	282	2	&	&	CCONJ
ajst-19207	282	3	graphics	graphic	NOUN
ajst-19207	282	4	116	116	NUM
ajst-19207	282	5	(	(	PUNCT
ajst-19207	282	6	2023	2023	NUM
ajst-19207	282	7	):	):	PUNCT
ajst-19207	282	8	185	185	NUM
ajst-19207	282	9	-	-	SYM
ajst-19207	282	10	193	193	NUM
ajst-19207	282	11	.	.	PUNCT
ajst-19207	283	1	[	[	X
ajst-19207	283	2	57	57	NUM
ajst-19207	283	3	]	]	SYM
ajst-19207	283	4	ni	ni	PROPN
ajst-19207	283	5	,	,	PUNCT
ajst-19207	283	6	jianyuan	jianyuan	PROPN
ajst-19207	283	7	,	,	PUNCT
ajst-19207	283	8	et	et	PROPN
ajst-19207	283	9	al	al	PROPN
ajst-19207	283	10	.	.	PUNCT
ajst-19207	284	1	"	"	PUNCT
ajst-19207	284	2	physical	physical	ADJ
ajst-19207	284	3	-	-	PUNCT
ajst-19207	284	4	aware	aware	ADJ
ajst-19207	284	5	cross	cross	ADJ
ajst-19207	284	6	-	-	ADJ
ajst-19207	284	7	modal	modal	ADJ
ajst-19207	284	8	adversarial	adversarial	ADJ
ajst-19207	284	9	network	network	NOUN
ajst-19207	284	10	for	for	ADP
ajst-19207	284	11	wearable	wearable	ADJ
ajst-19207	284	12	sensor	sensor	NOUN
ajst-19207	284	13	-	-	PUNCT
ajst-19207	284	14	based	base	VERB
ajst-19207	284	15	human	human	ADJ
ajst-19207	284	16	action	action	NOUN
ajst-19207	284	17	recognition	recognition	NOUN
ajst-19207	284	18	.	.	PUNCT
ajst-19207	284	19	"	"	PUNCT
ajst-19207	285	1	arxiv	arxiv	PROPN
ajst-19207	285	2	preprint	preprint	NOUN
ajst-19207	285	3	arxiv:2307.03638	arxiv:2307.03638	NOUN
ajst-19207	285	4	(	(	PUNCT
ajst-19207	285	5	2023	2023	NUM
ajst-19207	285	6	)	)	PUNCT
ajst-19207	285	7	.	.	PUNCT
ajst-19207	286	1	[	[	X
ajst-19207	286	2	58	58	NUM
ajst-19207	286	3	]	]	X
ajst-19207	286	4	maray	maray	NOUN
ajst-19207	286	5	,	,	PUNCT
ajst-19207	286	6	nader	nader	PROPN
ajst-19207	286	7	,	,	PUNCT
ajst-19207	286	8	et	et	PROPN
ajst-19207	286	9	al	al	PROPN
ajst-19207	286	10	.	.	PUNCT
ajst-19207	287	1	"	"	PUNCT
ajst-19207	287	2	transfer	transfer	VERB
ajst-19207	287	3	learning	learning	NOUN
ajst-19207	287	4	on	on	ADP
ajst-19207	287	5	small	small	ADJ
ajst-19207	287	6	datasets	dataset	NOUN
ajst-19207	287	7	for	for	ADP
ajst-19207	287	8	improved	improved	ADJ
ajst-19207	287	9	fall	fall	NOUN
ajst-19207	287	10	detection	detection	NOUN
ajst-19207	287	11	.	.	PUNCT
ajst-19207	287	12	"	"	PUNCT
ajst-19207	287	13	sensors	sensor	NOUN
ajst-19207	287	14	23.3	23.3	NUM
ajst-19207	287	15	(	(	PUNCT
ajst-19207	287	16	2023	2023	NUM
ajst-19207	287	17	):	):	PUNCT
ajst-19207	287	18	1105	1105	NUM
ajst-19207	287	19	.	.	PUNCT
ajst-19207	288	1	[	[	X
ajst-19207	288	2	59	59	NUM
ajst-19207	288	3	]	]	SYM
ajst-19207	288	4	chen	chen	PROPN
ajst-19207	288	5	,	,	PUNCT
ajst-19207	288	6	siwen	siwen	PROPN
ajst-19207	288	7	,	,	PUNCT
ajst-19207	288	8	et	et	PROPN
ajst-19207	288	9	al	al	PROPN
ajst-19207	288	10	.	.	PUNCT
ajst-19207	289	1	"	"	PUNCT
ajst-19207	289	2	sea	sea	NOUN
ajst-19207	289	3	ice	ice	NOUN
ajst-19207	289	4	extent	extent	NOUN
ajst-19207	289	5	prediction	prediction	NOUN
ajst-19207	289	6	with	with	ADP
ajst-19207	289	7	machine	machine	NOUN
ajst-19207	289	8	learning	learning	NOUN
ajst-19207	289	9	methods	method	NOUN
ajst-19207	289	10	and	and	CCONJ
ajst-19207	289	11	subregional	subregional	ADJ
ajst-19207	289	12	analysis	analysis	NOUN
ajst-19207	289	13	in	in	ADP
ajst-19207	289	14	the	the	DET
ajst-19207	289	15	arctic	arctic	NOUN
ajst-19207	289	16	.	.	PUNCT
ajst-19207	289	17	"	"	PUNCT
ajst-19207	289	18	atmosphere	atmosphere	NOUN
ajst-19207	289	19	14.6	14.6	NUM
ajst-19207	289	20	(	(	PUNCT
ajst-19207	289	21	2023	2023	NUM
ajst-19207	289	22	):	):	PUNCT
ajst-19207	289	23	1023	1023	NUM
ajst-19207	289	24	.	.	PUNCT
ajst-19207	290	1	[	[	X
ajst-19207	290	2	60	60	NUM
ajst-19207	290	3	]	]	X
ajst-19207	290	4	liang	liang	PROPN
ajst-19207	290	5	,	,	PUNCT
ajst-19207	290	6	yuxuan	yuxuan	PROPN
ajst-19207	290	7	,	,	PUNCT
ajst-19207	290	8	et	et	PROPN
ajst-19207	290	9	al	al	PROPN
ajst-19207	290	10	.	.	PUNCT
ajst-19207	291	1	"	"	PUNCT
ajst-19207	291	2	a	a	DET
ajst-19207	291	3	study	study	NOUN
ajst-19207	291	4	on	on	ADP
ajst-19207	291	5	blockchain	blockchain	PROPN
ajst-19207	291	6	sandwich	sandwich	NOUN
ajst-19207	291	7	attack	attack	NOUN
ajst-19207	291	8	strategies	strategy	NOUN
ajst-19207	291	9	based	base	VERB
ajst-19207	291	10	on	on	ADP
ajst-19207	291	11	mechanism	mechanism	NOUN
ajst-19207	291	12	design	design	NOUN
ajst-19207	291	13	game	game	NOUN
ajst-19207	291	14	theory	theory	NOUN
ajst-19207	291	15	.	.	PUNCT
ajst-19207	291	16	"	"	PUNCT
ajst-19207	292	1	electronics	electronic	NOUN
ajst-19207	292	2	12.21	12.21	NUM
ajst-19207	292	3	(	(	PUNCT
ajst-19207	292	4	2023	2023	NUM
ajst-19207	292	5	):	):	PUNCT
ajst-19207	292	6	4417	4417	NUM
ajst-19207	292	7	.	.	PUNCT
ajst-19207	293	1	[	[	X
ajst-19207	293	2	61	61	NUM
ajst-19207	293	3	]	]	SYM
ajst-19207	293	4	li	li	PROPN
ajst-19207	293	5	,	,	PUNCT
ajst-19207	293	6	xiongquan	xiongquan	PROPN
ajst-19207	293	7	,	,	PUNCT
ajst-19207	293	8	et	et	PROPN
ajst-19207	293	9	al	al	PROPN
ajst-19207	293	10	.	.	PUNCT
ajst-19207	293	11	"	"	PUNCT
ajst-19207	293	12	unlabeled	unlabele	VERB
ajst-19207	293	13	data	data	NOUN
ajst-19207	293	14	selection	selection	NOUN
ajst-19207	293	15	for	for	ADP
ajst-19207	293	16	active	active	ADJ
ajst-19207	293	17	learning	learning	NOUN
ajst-19207	293	18	in	in	ADP
ajst-19207	293	19	image	image	NOUN
ajst-19207	293	20	classification	classification	NOUN
ajst-19207	293	21	.	.	PUNCT
ajst-19207	293	22	"	"	PUNCT
ajst-19207	294	1	scientific	scientific	ADJ
ajst-19207	294	2	reports	report	NOUN
ajst-19207	294	3	14.1	14.1	NUM
ajst-19207	294	4	(	(	PUNCT
ajst-19207	294	5	2024	2024	NUM
ajst-19207	294	6	):	):	PUNCT
ajst-19207	294	7	424	424	NUM
ajst-19207	294	8	.	.	PUNCT