id	sid	tid	token	lemma	pos
fcis-32208	1	1	frontiers	frontier	NOUN
fcis-32208	1	2	in	in	ADP
fcis-32208	1	3	computing	computing	NOUN
fcis-32208	1	4	and	and	CCONJ
fcis-32208	1	5	intelligent	intelligent	ADJ
fcis-32208	1	6	systems	system	NOUN
fcis-32208	1	7	issn	issn	VERB
fcis-32208	1	8	:	:	PUNCT
fcis-32208	1	9	2832	2832	NUM
fcis-32208	1	10	-	-	SYM
fcis-32208	1	11	6024	6024	NUM
fcis-32208	1	12	|	|	NOUN
fcis-32208	1	13	vol	vol	NOUN
fcis-32208	1	14	.	.	PUNCT
fcis-32208	2	1	14	14	NUM
fcis-32208	2	2	,	,	PUNCT
fcis-32208	2	3	no	no	INTJ
fcis-32208	2	4	.	.	NOUN
fcis-32208	2	5	2	2	NUM
fcis-32208	2	6	,	,	PUNCT
fcis-32208	2	7	2025	2025	NUM
fcis-32208	2	8	8	8	NUM
fcis-32208	2	9	causal	causal	NOUN
fcis-32208	2	10	entropy	entropy	NOUN
fcis-32208	2	11	–	–	PUNCT
fcis-32208	2	12	driven	drive	VERB
fcis-32208	2	13	generative	generative	ADJ
fcis-32208	2	14	adversarial	adversarial	ADJ
fcis-32208	2	15	learning	learning	NOUN
fcis-32208	2	16	for	for	ADP
fcis-32208	2	17	anomalous	anomalous	ADJ
fcis-32208	2	18	event	event	NOUN
fcis-32208	2	19	detection	detection	NOUN
fcis-32208	2	20	in	in	ADP
fcis-32208	2	21	social	social	ADJ
fcis-32208	2	22	networks	network	NOUN
fcis-32208	3	1	tian	tian	ADJ
fcis-32208	3	2	tian	tian	ADJ
fcis-32208	3	3	1	1	NUM
fcis-32208	3	4	,	,	PUNCT
fcis-32208	3	5	3	3	NUM
fcis-32208	3	6	,	,	PUNCT
fcis-32208	3	7	and	and	CCONJ
fcis-32208	3	8	tianqi	tianqi	VERB
fcis-32208	3	9	chen	chen	PROPN
fcis-32208	3	10	2	2	NUM
fcis-32208	3	11	,	,	PUNCT
fcis-32208	3	12	3	3	NUM
fcis-32208	3	13	,	,	PUNCT
fcis-32208	3	14	*	*	PUNCT
fcis-32208	3	15	1	1	NUM
fcis-32208	3	16	science	science	NOUN
fcis-32208	3	17	and	and	CCONJ
fcis-32208	3	18	technology	technology	NOUN
fcis-32208	3	19	innovation	innovation	NOUN
fcis-32208	3	20	promotion	promotion	NOUN
fcis-32208	3	21	and	and	CCONJ
fcis-32208	3	22	intelligence	intelligence	NOUN
fcis-32208	3	23	research	research	NOUN
fcis-32208	3	24	center	center	NOUN
fcis-32208	3	25	,	,	PUNCT
fcis-32208	3	26	luoyang	luoyang	PROPN
fcis-32208	3	27	henan	henan	PROPN
fcis-32208	3	28	471000	471000	NUM
fcis-32208	3	29	,	,	PUNCT
fcis-32208	3	30	china	china	PROPN
fcis-32208	3	31	2	2	NUM
fcis-32208	3	32	school	school	NOUN
fcis-32208	3	33	of	of	ADP
fcis-32208	3	34	computer	computer	NOUN
fcis-32208	3	35	engineering	engineering	NOUN
fcis-32208	3	36	,	,	PUNCT
fcis-32208	3	37	shangqiu	shangqiu	ADJ
fcis-32208	3	38	university	university	PROPN
fcis-32208	3	39	,	,	PUNCT
fcis-32208	3	40	shangqiu	shangqiu	PROPN
fcis-32208	3	41	henan	henan	PROPN
fcis-32208	3	42	476000	476000	NUM
fcis-32208	3	43	,	,	PUNCT
fcis-32208	3	44	china	china	PROPN
fcis-32208	3	45	3	3	NUM
fcis-32208	3	46	college	college	NOUN
fcis-32208	3	47	of	of	ADP
fcis-32208	3	48	information	information	NOUN
fcis-32208	3	49	engineering	engineering	NOUN
fcis-32208	3	50	and	and	CCONJ
fcis-32208	3	51	artificial	artificial	ADJ
fcis-32208	3	52	intelligence	intelligence	NOUN
fcis-32208	3	53	,	,	PUNCT
fcis-32208	3	54	henan	henan	PROPN
fcis-32208	3	55	university	university	PROPN
fcis-32208	3	56	of	of	ADP
fcis-32208	3	57	science	science	NOUN
fcis-32208	3	58	and	and	CCONJ
fcis-32208	3	59	technology	technology	NOUN
fcis-32208	3	60	,	,	PUNCT
fcis-32208	3	61	luoyang	luoyang	PROPN
fcis-32208	3	62	henan	henan	PROPN
fcis-32208	3	63	,	,	PUNCT
fcis-32208	3	64	471000	471000	NUM
fcis-32208	3	65	,	,	PUNCT
fcis-32208	3	66	china	china	PROPN
fcis-32208	3	67	*	*	PUNCT
fcis-32208	3	68	corresponding	correspond	VERB
fcis-32208	3	69	author	author	NOUN
fcis-32208	3	70	:	:	PUNCT
fcis-32208	3	71	tianqi	tianqi	PROPN
fcis-32208	3	72	chen	chen	PROPN
fcis-32208	3	73	abstract	abstract	PROPN
fcis-32208	3	74	:	:	PUNCT
fcis-32208	3	75	in	in	ADP
fcis-32208	3	76	social	social	ADJ
fcis-32208	3	77	networks	network	NOUN
fcis-32208	3	78	,	,	PUNCT
fcis-32208	3	79	anomalous	anomalous	ADJ
fcis-32208	3	80	events	event	NOUN
fcis-32208	3	81	not	not	PART
fcis-32208	3	82	only	only	ADV
fcis-32208	3	83	disrupt	disrupt	VERB
fcis-32208	3	84	normal	normal	ADJ
fcis-32208	3	85	network	network	NOUN
fcis-32208	3	86	evolution	evolution	NOUN
fcis-32208	3	87	but	but	CCONJ
fcis-32208	3	88	also	also	ADV
fcis-32208	3	89	pose	pose	VERB
fcis-32208	3	90	potential	potential	ADJ
fcis-32208	3	91	threats	threat	NOUN
fcis-32208	3	92	to	to	ADP
fcis-32208	3	93	network	network	NOUN
fcis-32208	3	94	security	security	NOUN
fcis-32208	3	95	.	.	PUNCT
fcis-32208	4	1	therefore	therefore	ADV
fcis-32208	4	2	,	,	PUNCT
fcis-32208	4	3	achieving	achieve	VERB
fcis-32208	4	4	efficient	efficient	ADJ
fcis-32208	4	5	anomaly	anomaly	NOUN
fcis-32208	4	6	detection	detection	NOUN
fcis-32208	4	7	in	in	ADP
fcis-32208	4	8	dynamically	dynamically	ADV
fcis-32208	4	9	and	and	CCONJ
fcis-32208	4	10	semantically	semantically	ADV
fcis-32208	4	11	complex	complex	ADJ
fcis-32208	4	12	environments	environment	NOUN
fcis-32208	4	13	is	be	AUX
fcis-32208	4	14	of	of	ADP
fcis-32208	4	15	significant	significant	ADJ
fcis-32208	4	16	importance	importance	NOUN
fcis-32208	4	17	.	.	PUNCT
fcis-32208	5	1	however	however	ADV
fcis-32208	5	2	,	,	PUNCT
fcis-32208	5	3	existing	exist	VERB
fcis-32208	5	4	methods	method	NOUN
fcis-32208	5	5	often	often	ADV
fcis-32208	5	6	struggle	struggle	VERB
fcis-32208	5	7	to	to	PART
fcis-32208	5	8	effectively	effectively	ADV
fcis-32208	5	9	capture	capture	VERB
fcis-32208	5	10	the	the	DET
fcis-32208	5	11	dynamic	dynamic	ADJ
fcis-32208	5	12	evolutionary	evolutionary	ADJ
fcis-32208	5	13	relationships	relationship	NOUN
fcis-32208	5	14	between	between	ADP
fcis-32208	5	15	events	event	NOUN
fcis-32208	5	16	and	and	CCONJ
fcis-32208	5	17	their	their	PRON
fcis-32208	5	18	underlying	underlying	ADJ
fcis-32208	5	19	causal	causal	ADJ
fcis-32208	5	20	dependencies	dependency	NOUN
fcis-32208	5	21	.	.	PUNCT
fcis-32208	6	1	to	to	PART
fcis-32208	6	2	address	address	VERB
fcis-32208	6	3	this	this	PRON
fcis-32208	6	4	,	,	PUNCT
fcis-32208	6	5	this	this	DET
fcis-32208	6	6	paper	paper	NOUN
fcis-32208	6	7	proposes	propose	VERB
fcis-32208	6	8	a	a	DET
fcis-32208	6	9	causal	causal	NOUN
fcis-32208	6	10	entropy	entropy	NOUN
fcis-32208	6	11	–	–	PUNCT
fcis-32208	6	12	driven	drive	VERB
fcis-32208	6	13	generative	generative	ADJ
fcis-32208	6	14	adversarial	adversarial	ADJ
fcis-32208	6	15	learning	learning	NOUN
fcis-32208	6	16	for	for	ADP
fcis-32208	6	17	anomalous	anomalous	ADJ
fcis-32208	6	18	event	event	NOUN
fcis-32208	6	19	detection	detection	NOUN
fcis-32208	6	20	in	in	ADP
fcis-32208	6	21	social	social	ADJ
fcis-32208	6	22	networks	network	NOUN
fcis-32208	6	23	.	.	PUNCT
fcis-32208	7	1	first	first	ADV
fcis-32208	7	2	,	,	PUNCT
fcis-32208	7	3	a	a	DET
fcis-32208	7	4	log	log	NOUN
fcis-32208	7	5	parser	parser	NOUN
fcis-32208	7	6	converts	convert	NOUN
fcis-32208	7	7	unstructured	unstructure	VERB
fcis-32208	7	8	social	social	ADJ
fcis-32208	7	9	network	network	NOUN
fcis-32208	7	10	logs	log	NOUN
fcis-32208	7	11	into	into	ADP
fcis-32208	7	12	structured	structured	ADJ
fcis-32208	7	13	events	event	NOUN
fcis-32208	7	14	,	,	PUNCT
fcis-32208	7	15	which	which	PRON
fcis-32208	7	16	contain	contain	VERB
fcis-32208	7	17	timestamps	timestamp	NOUN
fcis-32208	7	18	,	,	PUNCT
fcis-32208	7	19	ip	ip	NOUN
fcis-32208	7	20	addresses	address	NOUN
fcis-32208	7	21	,	,	PUNCT
fcis-32208	7	22	and	and	CCONJ
fcis-32208	7	23	event	event	NOUN
fcis-32208	7	24	content	content	NOUN
fcis-32208	7	25	.	.	PUNCT
fcis-32208	8	1	subsequently	subsequently	ADV
fcis-32208	8	2	,	,	PUNCT
fcis-32208	8	3	we	we	PRON
fcis-32208	8	4	standardize	standardize	VERB
fcis-32208	8	5	causal	causal	ADJ
fcis-32208	8	6	entropy	entropy	NOUN
fcis-32208	8	7	to	to	PART
fcis-32208	8	8	measure	measure	VERB
fcis-32208	8	9	the	the	DET
fcis-32208	8	10	strength	strength	NOUN
fcis-32208	8	11	of	of	ADP
fcis-32208	8	12	causal	causal	ADJ
fcis-32208	8	13	relationships	relationship	NOUN
fcis-32208	8	14	between	between	ADP
fcis-32208	8	15	events	event	NOUN
fcis-32208	8	16	and	and	CCONJ
fcis-32208	8	17	construct	construct	VERB
fcis-32208	8	18	causal	causal	ADJ
fcis-32208	8	19	sequences	sequence	NOUN
fcis-32208	8	20	.	.	PUNCT
fcis-32208	9	1	building	build	VERB
fcis-32208	9	2	upon	upon	SCONJ
fcis-32208	9	3	this	this	DET
fcis-32208	9	4	foundation	foundation	NOUN
fcis-32208	9	5	,	,	PUNCT
fcis-32208	9	6	we	we	PRON
fcis-32208	9	7	design	design	VERB
fcis-32208	9	8	a	a	DET
fcis-32208	9	9	generative	generative	ADJ
fcis-32208	9	10	adversarial	adversarial	ADJ
fcis-32208	9	11	framework	framework	NOUN
fcis-32208	9	12	.	.	PUNCT
fcis-32208	10	1	the	the	DET
fcis-32208	10	2	generator	generator	NOUN
fcis-32208	10	3	combines	combine	VERB
fcis-32208	10	4	a	a	DET
fcis-32208	10	5	gated	gate	VERB
fcis-32208	10	6	recurrent	recurrent	ADJ
fcis-32208	10	7	unit	unit	NOUN
fcis-32208	10	8	,	,	PUNCT
fcis-32208	10	9	a	a	DET
fcis-32208	10	10	self	self	NOUN
fcis-32208	10	11	-	-	PUNCT
fcis-32208	10	12	attention	attention	NOUN
fcis-32208	10	13	mechanism	mechanism	NOUN
fcis-32208	10	14	,	,	PUNCT
fcis-32208	10	15	and	and	CCONJ
fcis-32208	10	16	a	a	DET
fcis-32208	10	17	long	long	ADJ
fcis-32208	10	18	short	short	ADJ
fcis-32208	10	19	-	-	PUNCT
fcis-32208	10	20	term	term	NOUN
fcis-32208	10	21	memory	memory	NOUN
fcis-32208	10	22	network	network	NOUN
fcis-32208	10	23	to	to	PART
fcis-32208	10	24	capture	capture	VERB
fcis-32208	10	25	deep	deep	ADJ
fcis-32208	10	26	event	event	NOUN
fcis-32208	10	27	semantics	semantic	NOUN
fcis-32208	10	28	and	and	CCONJ
fcis-32208	10	29	generate	generate	VERB
fcis-32208	10	30	realistic	realistic	ADJ
fcis-32208	10	31	log	log	NOUN
fcis-32208	10	32	samples	sample	NOUN
fcis-32208	10	33	.	.	PUNCT
fcis-32208	11	1	the	the	DET
fcis-32208	11	2	discriminator	discriminator	NOUN
fcis-32208	11	3	achieves	achieve	VERB
fcis-32208	11	4	precise	precise	ADJ
fcis-32208	11	5	differentiation	differentiation	NOUN
fcis-32208	11	6	between	between	ADP
fcis-32208	11	7	normal	normal	ADJ
fcis-32208	11	8	and	and	CCONJ
fcis-32208	11	9	abnormal	abnormal	ADJ
fcis-32208	11	10	events	event	NOUN
fcis-32208	11	11	through	through	ADP
fcis-32208	11	12	mean	mean	VERB
fcis-32208	11	13	cross	cross	ADJ
fcis-32208	11	14	-	-	ADJ
fcis-32208	11	15	entropy	entropy	ADJ
fcis-32208	11	16	loss	loss	NOUN
fcis-32208	11	17	on	on	ADP
fcis-32208	11	18	fully	fully	ADV
fcis-32208	11	19	connected	connected	ADJ
fcis-32208	11	20	layers	layer	NOUN
fcis-32208	11	21	.	.	PUNCT
fcis-32208	12	1	experimental	experimental	ADJ
fcis-32208	12	2	results	result	NOUN
fcis-32208	12	3	demonstrate	demonstrate	VERB
fcis-32208	12	4	that	that	SCONJ
fcis-32208	12	5	the	the	DET
fcis-32208	12	6	proposed	propose	VERB
fcis-32208	12	7	method	method	NOUN
fcis-32208	12	8	achieves	achieve	VERB
fcis-32208	12	9	approximately	approximately	ADV
fcis-32208	12	10	6.5	6.5	NUM
fcis-32208	12	11	%	%	NOUN
fcis-32208	12	12	higher	high	ADJ
fcis-32208	12	13	detection	detection	NOUN
fcis-32208	12	14	accuracy	accuracy	NOUN
fcis-32208	12	15	than	than	ADP
fcis-32208	12	16	existing	exist	VERB
fcis-32208	12	17	approaches	approach	NOUN
fcis-32208	12	18	,	,	PUNCT
fcis-32208	12	19	validating	validate	VERB
fcis-32208	12	20	its	its	PRON
fcis-32208	12	21	effectiveness	effectiveness	NOUN
fcis-32208	12	22	and	and	CCONJ
fcis-32208	12	23	robustness	robustness	NOUN
fcis-32208	12	24	in	in	ADP
fcis-32208	12	25	identifying	identify	VERB
fcis-32208	12	26	anomaly	anomaly	NOUN
fcis-32208	12	27	events	event	NOUN
fcis-32208	12	28	.	.	PUNCT
fcis-32208	13	1	keywords	keyword	NOUN
fcis-32208	13	2	:	:	PUNCT
fcis-32208	13	3	social	social	ADJ
fcis-32208	13	4	networks	network	NOUN
fcis-32208	13	5	;	;	PUNCT
fcis-32208	13	6	anomalous	anomalous	ADJ
fcis-32208	13	7	event	event	NOUN
fcis-32208	13	8	detection	detection	NOUN
fcis-32208	13	9	;	;	PUNCT
fcis-32208	13	10	generative	generative	ADJ
fcis-32208	13	11	adversarial	adversarial	ADJ
fcis-32208	13	12	learning	learning	NOUN
fcis-32208	13	13	;	;	PUNCT
fcis-32208	13	14	long	long	ADJ
fcis-32208	13	15	short	short	ADJ
fcis-32208	13	16	-	-	PUNCT
fcis-32208	13	17	term	term	NOUN
fcis-32208	13	18	memory	memory	NOUN
fcis-32208	13	19	networks	network	NOUN
fcis-32208	13	20	;	;	PUNCT
fcis-32208	13	21	causality	causality	NOUN
fcis-32208	13	22	mining	mining	NOUN
fcis-32208	13	23	.	.	PUNCT
fcis-32208	14	1	1	1	X
fcis-32208	14	2	.	.	X
fcis-32208	14	3	introduction	introduction	NOUN
fcis-32208	14	4	social	social	ADJ
fcis-32208	14	5	networks	network	NOUN
fcis-32208	14	6	are	be	AUX
fcis-32208	14	7	formed	form	VERB
fcis-32208	14	8	through	through	ADP
fcis-32208	14	9	interactions	interaction	NOUN
fcis-32208	14	10	among	among	ADP
fcis-32208	14	11	individuals	individual	NOUN
fcis-32208	14	12	,	,	PUNCT
fcis-32208	14	13	resulting	result	VERB
fcis-32208	14	14	in	in	ADP
fcis-32208	14	15	relatively	relatively	ADV
fcis-32208	14	16	stable	stable	ADJ
fcis-32208	14	17	relationship	relationship	NOUN
fcis-32208	14	18	structures	structure	NOUN
fcis-32208	14	19	that	that	PRON
fcis-32208	14	20	encompass	encompass	VERB
fcis-32208	14	21	both	both	DET
fcis-32208	14	22	continuous	continuous	ADJ
fcis-32208	14	23	relationships	relationship	NOUN
fcis-32208	14	24	and	and	CCONJ
fcis-32208	14	25	discrete	discrete	ADJ
fcis-32208	14	26	events	event	NOUN
fcis-32208	14	27	.	.	PUNCT
fcis-32208	15	1	within	within	ADP
fcis-32208	15	2	these	these	DET
fcis-32208	15	3	networks	network	NOUN
fcis-32208	15	4	,	,	PUNCT
fcis-32208	15	5	anomalous	anomalous	ADJ
fcis-32208	15	6	events	event	NOUN
fcis-32208	15	7	—	—	PUNCT
fcis-32208	15	8	triggered	trigger	VERB
fcis-32208	15	9	by	by	ADP
fcis-32208	15	10	abnormal	abnormal	ADJ
fcis-32208	15	11	behaviors	behavior	NOUN
fcis-32208	15	12	of	of	ADP
fcis-32208	15	13	individuals	individual	NOUN
fcis-32208	15	14	or	or	CCONJ
fcis-32208	15	15	communities	community	NOUN
fcis-32208	15	16	such	such	ADJ
fcis-32208	15	17	as	as	ADP
fcis-32208	15	18	deviant	deviant	ADJ
fcis-32208	15	19	actions	action	NOUN
fcis-32208	15	20	,	,	PUNCT
fcis-32208	15	21	false	false	ADJ
fcis-32208	15	22	information	information	NOUN
fcis-32208	15	23	dissemination	dissemination	NOUN
fcis-32208	15	24	,	,	PUNCT
fcis-32208	15	25	and	and	CCONJ
fcis-32208	15	26	cyberattacks	cyberattack	NOUN
fcis-32208	15	27	[	[	X
fcis-32208	15	28	1]—can	1]—can	NUM
fcis-32208	15	29	persist	persist	VERB
fcis-32208	15	30	for	for	ADP
fcis-32208	15	31	specific	specific	ADJ
fcis-32208	15	32	durations	duration	NOUN
fcis-32208	15	33	and	and	CCONJ
fcis-32208	15	34	disrupt	disrupt	VERB
fcis-32208	15	35	part	part	NOUN
fcis-32208	15	36	or	or	CCONJ
fcis-32208	15	37	even	even	ADV
fcis-32208	15	38	the	the	DET
fcis-32208	15	39	entirety	entirety	NOUN
fcis-32208	15	40	of	of	ADP
fcis-32208	15	41	the	the	DET
fcis-32208	15	42	network	network	NOUN
fcis-32208	15	43	.	.	PUNCT
fcis-32208	16	1	these	these	DET
fcis-32208	16	2	anomalies	anomaly	NOUN
fcis-32208	16	3	are	be	AUX
fcis-32208	16	4	often	often	ADV
fcis-32208	16	5	reflected	reflect	VERB
fcis-32208	16	6	in	in	ADP
fcis-32208	16	7	the	the	DET
fcis-32208	16	8	massive	massive	ADJ
fcis-32208	16	9	logs	log	NOUN
fcis-32208	16	10	generated	generate	VERB
fcis-32208	16	11	by	by	ADP
fcis-32208	16	12	social	social	ADJ
fcis-32208	16	13	networks	network	NOUN
fcis-32208	16	14	,	,	PUNCT
fcis-32208	16	15	which	which	PRON
fcis-32208	16	16	record	record	NOUN
fcis-32208	16	17	user	user	NOUN
fcis-32208	16	18	activities	activity	NOUN
fcis-32208	16	19	and	and	CCONJ
fcis-32208	16	20	network	network	NOUN
fcis-32208	16	21	requests	request	NOUN
fcis-32208	16	22	[	[	X
fcis-32208	16	23	2	2	NUM
fcis-32208	16	24	]	]	PUNCT
fcis-32208	16	25	and	and	CCONJ
fcis-32208	16	26	capture	capture	VERB
fcis-32208	16	27	underlying	underlie	VERB
fcis-32208	16	28	social	social	ADJ
fcis-32208	16	29	patterns	pattern	NOUN
fcis-32208	16	30	and	and	CCONJ
fcis-32208	16	31	information	information	NOUN
fcis-32208	16	32	flow	flow	NOUN
fcis-32208	16	33	.	.	PUNCT
fcis-32208	17	1	deviations	deviation	NOUN
fcis-32208	17	2	in	in	ADP
fcis-32208	17	3	log	log	NOUN
fcis-32208	17	4	behaviors	behavior	NOUN
fcis-32208	17	5	,	,	PUNCT
fcis-32208	17	6	such	such	ADJ
fcis-32208	17	7	as	as	ADP
fcis-32208	17	8	unusually	unusually	ADV
fcis-32208	17	9	high	high	ADJ
fcis-32208	17	10	posting	posting	NOUN
fcis-32208	17	11	frequency	frequency	NOUN
fcis-32208	17	12	or	or	CCONJ
fcis-32208	17	13	the	the	DET
fcis-32208	17	14	replication	replication	NOUN
fcis-32208	17	15	of	of	ADP
fcis-32208	17	16	identical	identical	ADJ
fcis-32208	17	17	content	content	NOUN
fcis-32208	17	18	across	across	ADP
fcis-32208	17	19	multiple	multiple	ADJ
fcis-32208	17	20	accounts	account	NOUN
fcis-32208	17	21	,	,	PUNCT
fcis-32208	17	22	may	may	AUX
fcis-32208	17	23	indicate	indicate	VERB
fcis-32208	17	24	spam	spam	NOUN
fcis-32208	17	25	propagation	propagation	NOUN
fcis-32208	17	26	or	or	CCONJ
fcis-32208	17	27	malicious	malicious	ADJ
fcis-32208	17	28	activity	activity	NOUN
fcis-32208	17	29	.	.	PUNCT
fcis-32208	18	1	consequently	consequently	ADV
fcis-32208	18	2	,	,	PUNCT
fcis-32208	18	3	analyzing	analyze	VERB
fcis-32208	18	4	the	the	DET
fcis-32208	18	5	global	global	ADJ
fcis-32208	18	6	semantic	semantic	ADJ
fcis-32208	18	7	relationships	relationship	NOUN
fcis-32208	18	8	within	within	ADP
fcis-32208	18	9	log	log	NOUN
fcis-32208	18	10	data	datum	NOUN
fcis-32208	18	11	is	be	AUX
fcis-32208	18	12	critical	critical	ADJ
fcis-32208	18	13	for	for	ADP
fcis-32208	18	14	safeguarding	safeguard	VERB
fcis-32208	18	15	network	network	NOUN
fcis-32208	18	16	security	security	NOUN
fcis-32208	18	17	and	and	CCONJ
fcis-32208	18	18	stability	stability	NOUN
fcis-32208	18	19	.	.	PUNCT
fcis-32208	19	1	existing	exist	VERB
fcis-32208	19	2	research	research	NOUN
fcis-32208	19	3	has	have	AUX
fcis-32208	19	4	explored	explore	VERB
fcis-32208	19	5	clustering	clustering	NOUN
fcis-32208	19	6	-	-	PUNCT
fcis-32208	19	7	based	base	VERB
fcis-32208	19	8	[	[	X
fcis-32208	19	9	3	3	NUM
fcis-32208	19	10	]	]	PUNCT
fcis-32208	19	11	,	,	PUNCT
fcis-32208	19	12	topic	topic	NOUN
fcis-32208	19	13	modeling	modeling	NOUN
fcis-32208	19	14	-	-	PUNCT
fcis-32208	19	15	based	base	VERB
fcis-32208	19	16	[	[	NOUN
fcis-32208	19	17	4	4	NUM
fcis-32208	19	18	]	]	PUNCT
fcis-32208	19	19	,	,	PUNCT
fcis-32208	19	20	and	and	CCONJ
fcis-32208	19	21	deep	deep	ADJ
fcis-32208	19	22	learning	learning	NOUN
fcis-32208	19	23	-	-	PUNCT
fcis-32208	19	24	based	base	VERB
fcis-32208	19	25	methods	method	NOUN
fcis-32208	19	26	[	[	X
fcis-32208	19	27	5	5	NUM
fcis-32208	19	28	]	]	PUNCT
fcis-32208	19	29	for	for	ADP
fcis-32208	19	30	anomaly	anomaly	NOUN
fcis-32208	19	31	detection	detection	NOUN
fcis-32208	19	32	.	.	PUNCT
fcis-32208	20	1	while	while	SCONJ
fcis-32208	20	2	clustering	clustering	ADJ
fcis-32208	20	3	methods	method	NOUN
fcis-32208	20	4	identify	identify	VERB
fcis-32208	20	5	events	event	NOUN
fcis-32208	20	6	through	through	ADP
fcis-32208	20	7	grouping	group	VERB
fcis-32208	20	8	documents	document	NOUN
fcis-32208	20	9	or	or	CCONJ
fcis-32208	20	10	features	feature	NOUN
fcis-32208	20	11	,	,	PUNCT
fcis-32208	20	12	topic	topic	NOUN
fcis-32208	20	13	models	model	NOUN
fcis-32208	20	14	such	such	ADJ
fcis-32208	20	15	as	as	ADP
fcis-32208	20	16	plsa	plsa	ADJ
fcis-32208	20	17	[	[	X
fcis-32208	20	18	6	6	NUM
fcis-32208	20	19	]	]	PUNCT
fcis-32208	20	20	and	and	CCONJ
fcis-32208	20	21	lda	lda	X
fcis-32208	21	1	[	[	X
fcis-32208	21	2	7	7	X
fcis-32208	21	3	]	]	PUNCT
fcis-32208	21	4	uncover	uncover	NOUN
fcis-32208	21	5	hidden	hide	VERB
fcis-32208	21	6	themes	theme	NOUN
fcis-32208	21	7	to	to	PART
fcis-32208	21	8	determine	determine	VERB
fcis-32208	21	9	event	event	NOUN
fcis-32208	21	10	boundaries	boundary	NOUN
fcis-32208	21	11	,	,	PUNCT
fcis-32208	21	12	and	and	CCONJ
fcis-32208	21	13	graph	graph	VERB
fcis-32208	21	14	convolutional	convolutional	ADJ
fcis-32208	21	15	networks	network	NOUN
fcis-32208	21	16	(	(	PUNCT
fcis-32208	21	17	gcns	gcns	PROPN
fcis-32208	21	18	)	)	PUNCT
fcis-32208	22	1	[	[	X
fcis-32208	22	2	8	8	NUM
fcis-32208	22	3	,	,	PUNCT
fcis-32208	22	4	9	9	NUM
fcis-32208	22	5	]	]	PUNCT
fcis-32208	22	6	enhance	enhance	VERB
fcis-32208	22	7	classification	classification	NOUN
fcis-32208	22	8	by	by	ADP
fcis-32208	22	9	modeling	model	VERB
fcis-32208	22	10	heterogeneous	heterogeneous	ADJ
fcis-32208	22	11	word	word	NOUN
fcis-32208	22	12	–	–	PUNCT
fcis-32208	22	13	document	document	NOUN
fcis-32208	22	14	graphs	graph	NOUN
fcis-32208	22	15	.	.	PUNCT
fcis-32208	23	1	however	however	ADV
fcis-32208	23	2	,	,	PUNCT
fcis-32208	23	3	these	these	DET
fcis-32208	23	4	approaches	approach	NOUN
fcis-32208	23	5	struggle	struggle	VERB
fcis-32208	23	6	to	to	PART
fcis-32208	23	7	capture	capture	VERB
fcis-32208	23	8	the	the	DET
fcis-32208	23	9	dynamic	dynamic	ADJ
fcis-32208	23	10	evolution	evolution	NOUN
fcis-32208	23	11	of	of	ADP
fcis-32208	23	12	social	social	ADJ
fcis-32208	23	13	networks	network	NOUN
fcis-32208	23	14	and	and	CCONJ
fcis-32208	23	15	the	the	DET
fcis-32208	23	16	causal	causal	ADJ
fcis-32208	23	17	dependencies	dependency	NOUN
fcis-32208	23	18	among	among	ADP
fcis-32208	23	19	events	event	NOUN
fcis-32208	23	20	,	,	PUNCT
fcis-32208	23	21	thereby	thereby	ADV
fcis-32208	23	22	necessitating	necessitate	VERB
fcis-32208	23	23	more	more	ADV
fcis-32208	23	24	comprehensive	comprehensive	ADJ
fcis-32208	23	25	and	and	CCONJ
fcis-32208	23	26	robust	robust	ADJ
fcis-32208	23	27	solutions	solution	NOUN
fcis-32208	23	28	.	.	PUNCT
fcis-32208	24	1	to	to	PART
fcis-32208	24	2	address	address	VERB
fcis-32208	24	3	these	these	DET
fcis-32208	24	4	challenges	challenge	NOUN
fcis-32208	24	5	,	,	PUNCT
fcis-32208	24	6	this	this	DET
fcis-32208	24	7	paper	paper	NOUN
fcis-32208	24	8	proposes	propose	VERB
fcis-32208	24	9	a	a	DET
fcis-32208	24	10	causal	causal	NOUN
fcis-32208	24	11	entropy	entropy	NOUN
fcis-32208	24	12	–	–	PUNCT
fcis-32208	24	13	driven	drive	VERB
fcis-32208	24	14	generative	generative	ADJ
fcis-32208	24	15	adversarial	adversarial	ADJ
fcis-32208	24	16	learning	learning	NOUN
fcis-32208	24	17	for	for	ADP
fcis-32208	24	18	anomalous	anomalous	ADJ
fcis-32208	24	19	event	event	NOUN
fcis-32208	24	20	detection	detection	NOUN
fcis-32208	24	21	in	in	ADP
fcis-32208	24	22	social	social	ADJ
fcis-32208	24	23	networks	network	NOUN
fcis-32208	24	24	.	.	PUNCT
fcis-32208	25	1	specifically	specifically	ADV
fcis-32208	25	2	,	,	PUNCT
fcis-32208	25	3	unstructured	unstructured	ADJ
fcis-32208	25	4	logs	log	NOUN
fcis-32208	25	5	are	be	AUX
fcis-32208	25	6	first	first	ADV
fcis-32208	25	7	parsed	parse	VERB
fcis-32208	25	8	into	into	ADP
fcis-32208	25	9	structured	structured	ADJ
fcis-32208	25	10	events	event	NOUN
fcis-32208	25	11	containing	contain	VERB
fcis-32208	25	12	timestamps	timestamp	NOUN
fcis-32208	25	13	,	,	PUNCT
fcis-32208	25	14	ip	ip	NOUN
fcis-32208	25	15	addresses	address	NOUN
fcis-32208	25	16	,	,	PUNCT
fcis-32208	25	17	and	and	CCONJ
fcis-32208	25	18	event	event	NOUN
fcis-32208	25	19	content	content	NOUN
fcis-32208	25	20	,	,	PUNCT
fcis-32208	25	21	after	after	ADP
fcis-32208	25	22	which	which	PRON
fcis-32208	25	23	standardized	standardized	ADJ
fcis-32208	25	24	causal	causal	ADJ
fcis-32208	25	25	entropy	entropy	NOUN
fcis-32208	25	26	is	be	AUX
fcis-32208	25	27	employed	employ	VERB
fcis-32208	25	28	to	to	PART
fcis-32208	25	29	quantify	quantify	VERB
fcis-32208	25	30	causal	causal	ADJ
fcis-32208	25	31	strengths	strength	NOUN
fcis-32208	25	32	and	and	CCONJ
fcis-32208	25	33	construct	construct	VERB
fcis-32208	25	34	event	event	NOUN
fcis-32208	25	35	sequences	sequence	NOUN
fcis-32208	25	36	.	.	PUNCT
fcis-32208	26	1	building	build	VERB
fcis-32208	26	2	on	on	ADP
fcis-32208	26	3	this	this	DET
fcis-32208	26	4	foundation	foundation	NOUN
fcis-32208	26	5	,	,	PUNCT
fcis-32208	26	6	a	a	DET
fcis-32208	26	7	generative	generative	ADJ
fcis-32208	26	8	model	model	NOUN
fcis-32208	26	9	integrating	integrate	VERB
fcis-32208	26	10	gated	gate	VERB
fcis-32208	26	11	recurrent	recurrent	ADJ
fcis-32208	26	12	units	unit	NOUN
fcis-32208	26	13	(	(	PUNCT
fcis-32208	26	14	grus	grus	NOUN
fcis-32208	26	15	)	)	PUNCT
fcis-32208	26	16	,	,	PUNCT
fcis-32208	26	17	self	self	NOUN
fcis-32208	26	18	-	-	PUNCT
fcis-32208	26	19	attention	attention	NOUN
fcis-32208	26	20	,	,	PUNCT
fcis-32208	26	21	and	and	CCONJ
fcis-32208	26	22	long	long	ADJ
fcis-32208	26	23	short	short	ADJ
fcis-32208	26	24	-	-	PUNCT
fcis-32208	26	25	term	term	NOUN
fcis-32208	26	26	memory	memory	NOUN
fcis-32208	26	27	(	(	PUNCT
fcis-32208	26	28	lstm	lstm	NOUN
fcis-32208	26	29	)	)	PUNCT
fcis-32208	26	30	networks	network	NOUN
fcis-32208	26	31	is	be	AUX
fcis-32208	26	32	designed	design	VERB
fcis-32208	26	33	to	to	PART
fcis-32208	26	34	capture	capture	VERB
fcis-32208	26	35	semantic	semantic	ADJ
fcis-32208	26	36	context	context	NOUN
fcis-32208	26	37	and	and	CCONJ
fcis-32208	26	38	generate	generate	VERB
fcis-32208	26	39	realistic	realistic	ADJ
fcis-32208	26	40	event	event	NOUN
fcis-32208	26	41	samples	sample	NOUN
fcis-32208	26	42	,	,	PUNCT
fcis-32208	26	43	while	while	SCONJ
fcis-32208	26	44	the	the	DET
fcis-32208	26	45	discriminator	discriminator	NOUN
fcis-32208	26	46	distinguishes	distinguish	VERB
fcis-32208	26	47	normal	normal	ADJ
fcis-32208	26	48	from	from	ADP
fcis-32208	26	49	anomalous	anomalous	ADJ
fcis-32208	26	50	events	event	NOUN
fcis-32208	26	51	by	by	ADP
fcis-32208	26	52	optimizing	optimize	VERB
fcis-32208	26	53	the	the	DET
fcis-32208	26	54	average	average	ADJ
fcis-32208	26	55	cross	cross	ADJ
fcis-32208	26	56	-	-	ADJ
fcis-32208	26	57	entropy	entropy	ADJ
fcis-32208	26	58	loss	loss	NOUN
fcis-32208	26	59	.	.	PUNCT
fcis-32208	27	1	the	the	DET
fcis-32208	27	2	main	main	ADJ
fcis-32208	27	3	contributions	contribution	NOUN
fcis-32208	27	4	of	of	ADP
fcis-32208	27	5	this	this	DET
fcis-32208	27	6	paper	paper	NOUN
fcis-32208	27	7	are	be	AUX
fcis-32208	27	8	as	as	SCONJ
fcis-32208	27	9	follows	follow	VERB
fcis-32208	27	10	:	:	PUNCT
fcis-32208	28	1	1	1	X
fcis-32208	28	2	.	.	X
fcis-32208	28	3	we	we	PRON
fcis-32208	28	4	propose	propose	VERB
fcis-32208	28	5	a	a	DET
fcis-32208	28	6	causality	causality	NOUN
fcis-32208	28	7	-	-	PUNCT
fcis-32208	28	8	entropy	entropy	NOUN
fcis-32208	28	9	-	-	PUNCT
fcis-32208	28	10	driven	drive	VERB
fcis-32208	28	11	event	event	NOUN
fcis-32208	28	12	modeling	modeling	NOUN
fcis-32208	28	13	method	method	NOUN
fcis-32208	28	14	.	.	PUNCT
fcis-32208	29	1	this	this	DET
fcis-32208	29	2	paper	paper	NOUN
fcis-32208	29	3	introduces	introduce	NOUN
fcis-32208	29	4	normalized	normalize	VERB
fcis-32208	29	5	causality	causality	NOUN
fcis-32208	29	6	entropy	entropy	NOUN
fcis-32208	29	7	into	into	ADP
fcis-32208	29	8	social	social	ADJ
fcis-32208	29	9	network	network	NOUN
fcis-32208	29	10	log	log	VERB
fcis-32208	29	11	analysis	analysis	NOUN
fcis-32208	29	12	to	to	PART
fcis-32208	29	13	quantify	quantify	VERB
fcis-32208	29	14	causal	causal	ADJ
fcis-32208	29	15	strengths	strength	NOUN
fcis-32208	29	16	between	between	ADP
fcis-32208	29	17	events	event	NOUN
fcis-32208	29	18	and	and	CCONJ
fcis-32208	29	19	construct	construct	VERB
fcis-32208	29	20	causal	causal	ADJ
fcis-32208	29	21	sequences	sequence	NOUN
fcis-32208	29	22	.	.	PUNCT
fcis-32208	30	1	compared	compare	VERB
fcis-32208	30	2	to	to	ADP
fcis-32208	30	3	traditional	traditional	ADJ
fcis-32208	30	4	time	time	NOUN
fcis-32208	30	5	-	-	PUNCT
fcis-32208	30	6	based	base	VERB
fcis-32208	30	7	or	or	CCONJ
fcis-32208	30	8	correlation	correlation	NOUN
fcis-32208	30	9	-	-	PUNCT
fcis-32208	30	10	based	base	VERB
fcis-32208	30	11	modeling	modeling	NOUN
fcis-32208	30	12	methods	method	NOUN
fcis-32208	30	13	,	,	PUNCT
fcis-32208	30	14	it	it	PRON
fcis-32208	30	15	more	more	ADV
fcis-32208	30	16	effectively	effectively	ADV
fcis-32208	30	17	reveals	reveal	VERB
fcis-32208	30	18	the	the	DET
fcis-32208	30	19	underlying	underlie	VERB
fcis-32208	30	20	causal	causal	ADJ
fcis-32208	30	21	dependencies	dependency	NOUN
fcis-32208	30	22	of	of	ADP
fcis-32208	30	23	anomalous	anomalous	ADJ
fcis-32208	30	24	events	event	NOUN
fcis-32208	30	25	.	.	PUNCT
fcis-32208	31	1	2	2	X
fcis-32208	31	2	.	.	X
fcis-32208	31	3	we	we	PRON
fcis-32208	31	4	design	design	VERB
fcis-32208	31	5	a	a	DET
fcis-32208	31	6	multi	multi	ADJ
fcis-32208	31	7	-	-	ADJ
fcis-32208	31	8	mechanism	mechanism	ADJ
fcis-32208	31	9	generative	generative	ADJ
fcis-32208	31	10	adversarial	adversarial	ADJ
fcis-32208	31	11	framework	framework	NOUN
fcis-32208	31	12	.	.	PUNCT
fcis-32208	32	1	this	this	DET
fcis-32208	32	2	paper	paper	NOUN
fcis-32208	32	3	introduces	introduce	VERB
fcis-32208	32	4	a	a	DET
fcis-32208	32	5	novel	novel	ADJ
fcis-32208	32	6	generative	generative	ADJ
fcis-32208	32	7	adversarial	adversarial	ADJ
fcis-32208	32	8	learning	learning	NOUN
fcis-32208	32	9	architecture	architecture	NOUN
fcis-32208	32	10	,	,	PUNCT
fcis-32208	32	11	where	where	SCONJ
fcis-32208	32	12	the	the	DET
fcis-32208	32	13	generator	generator	NOUN
fcis-32208	32	14	integrates	integrate	VERB
fcis-32208	32	15	gated	gate	VERB
fcis-32208	32	16	recurrent	recurrent	ADJ
fcis-32208	32	17	units	unit	NOUN
fcis-32208	32	18	(	(	PUNCT
fcis-32208	32	19	gru	gru	NOUN
fcis-32208	32	20	)	)	PUNCT
fcis-32208	32	21	,	,	PUNCT
fcis-32208	32	22	long	long	ADJ
fcis-32208	32	23	short	short	ADJ
fcis-32208	32	24	-	-	PUNCT
fcis-32208	32	25	term	term	NOUN
fcis-32208	32	26	memory	memory	NOUN
fcis-32208	32	27	networks	network	NOUN
fcis-32208	32	28	,	,	PUNCT
fcis-32208	32	29	and	and	CCONJ
fcis-32208	32	30	self	self	NOUN
fcis-32208	32	31	-	-	PUNCT
fcis-32208	32	32	attention	attention	NOUN
fcis-32208	32	33	mechanisms	mechanism	NOUN
fcis-32208	32	34	to	to	PART
fcis-32208	32	35	simultaneously	simultaneously	ADV
fcis-32208	32	36	capture	capture	VERB
fcis-32208	32	37	long	long	ADJ
fcis-32208	32	38	-	-	PUNCT
fcis-32208	32	39	range	range	NOUN
fcis-32208	32	40	dependencies	dependency	NOUN
fcis-32208	32	41	and	and	CCONJ
fcis-32208	32	42	key	key	ADJ
fcis-32208	32	43	semantic	semantic	ADJ
fcis-32208	32	44	features	feature	NOUN
fcis-32208	32	45	.	.	PUNCT
fcis-32208	33	1	the	the	DET
fcis-32208	33	2	discriminator	discriminator	NOUN
fcis-32208	33	3	achieves	achieve	VERB
fcis-32208	33	4	high	high	ADJ
fcis-32208	33	5	-	-	PUNCT
fcis-32208	33	6	precision	precision	NOUN
fcis-32208	33	7	differentiation	differentiation	NOUN
fcis-32208	33	8	of	of	ADP
fcis-32208	33	9	abnormal	abnormal	ADJ
fcis-32208	33	10	events	event	NOUN
fcis-32208	33	11	based	base	VERB
fcis-32208	33	12	on	on	ADP
fcis-32208	33	13	average	average	ADJ
fcis-32208	33	14	crossentropy	crossentropy	NOUN
fcis-32208	33	15	loss	loss	NOUN
fcis-32208	33	16	,	,	PUNCT
fcis-32208	33	17	thereby	thereby	ADV
fcis-32208	33	18	enhancing	enhance	VERB
fcis-32208	33	19	detection	detection	NOUN
fcis-32208	33	20	robustness	robustness	NOUN
fcis-32208	33	21	.	.	PUNCT
fcis-32208	34	1	9	9	NUM
fcis-32208	34	2	3	3	NUM
fcis-32208	34	3	.	.	PUNCT
fcis-32208	35	1	we	we	PRON
fcis-32208	35	2	conducted	conduct	VERB
fcis-32208	35	3	systematic	systematic	ADJ
fcis-32208	35	4	experimental	experimental	ADJ
fcis-32208	35	5	evaluations	evaluation	NOUN
fcis-32208	35	6	on	on	ADP
fcis-32208	35	7	public	public	ADJ
fcis-32208	35	8	datasets	dataset	NOUN
fcis-32208	35	9	,	,	PUNCT
fcis-32208	35	10	demonstrating	demonstrate	VERB
fcis-32208	35	11	a	a	DET
fcis-32208	35	12	6.5	6.5	NUM
fcis-32208	35	13	%	%	NOUN
fcis-32208	35	14	improvement	improvement	NOUN
fcis-32208	35	15	in	in	ADP
fcis-32208	35	16	detection	detection	NOUN
fcis-32208	35	17	accuracy	accuracy	NOUN
fcis-32208	35	18	over	over	ADP
fcis-32208	35	19	baseline	baseline	NOUN
fcis-32208	35	20	models	model	NOUN
fcis-32208	35	21	.	.	PUNCT
fcis-32208	36	1	this	this	PRON
fcis-32208	36	2	validates	validate	VERB
fcis-32208	36	3	the	the	DET
fcis-32208	36	4	effectiveness	effectiveness	NOUN
fcis-32208	36	5	of	of	ADP
fcis-32208	36	6	the	the	DET
fcis-32208	36	7	proposed	propose	VERB
fcis-32208	36	8	framework	framework	NOUN
fcis-32208	36	9	in	in	ADP
fcis-32208	36	10	dynamic	dynamic	ADJ
fcis-32208	36	11	and	and	CCONJ
fcis-32208	36	12	semantically	semantically	ADV
fcis-32208	36	13	complex	complex	ADJ
fcis-32208	36	14	environments	environment	NOUN
fcis-32208	36	15	,	,	PUNCT
fcis-32208	36	16	and	and	CCONJ
fcis-32208	36	17	showcases	showcase	VERB
fcis-32208	36	18	its	its	PRON
fcis-32208	36	19	potential	potential	ADJ
fcis-32208	36	20	applications	application	NOUN
fcis-32208	36	21	in	in	ADP
fcis-32208	36	22	cybersecurity	cybersecurity	NOUN
fcis-32208	36	23	and	and	CCONJ
fcis-32208	36	24	anomaly	anomaly	NOUN
fcis-32208	36	25	detection	detection	NOUN
fcis-32208	36	26	.	.	PUNCT
fcis-32208	37	1	the	the	DET
fcis-32208	37	2	remainder	remainder	NOUN
fcis-32208	37	3	of	of	ADP
fcis-32208	37	4	this	this	DET
fcis-32208	37	5	paper	paper	NOUN
fcis-32208	37	6	is	be	AUX
fcis-32208	37	7	organized	organize	VERB
fcis-32208	37	8	as	as	SCONJ
fcis-32208	37	9	follows	follow	VERB
fcis-32208	37	10	:	:	PUNCT
fcis-32208	37	11	section	section	NOUN
fcis-32208	37	12	2	2	NUM
fcis-32208	37	13	introduces	introduce	NOUN
fcis-32208	37	14	related	relate	VERB
fcis-32208	37	15	work	work	NOUN
fcis-32208	37	16	.	.	PUNCT
fcis-32208	38	1	section	section	NOUN
fcis-32208	38	2	3	3	NUM
fcis-32208	38	3	presents	present	VERB
fcis-32208	38	4	the	the	DET
fcis-32208	38	5	design	design	NOUN
fcis-32208	38	6	and	and	CCONJ
fcis-32208	38	7	composition	composition	NOUN
fcis-32208	38	8	of	of	ADP
fcis-32208	38	9	the	the	DET
fcis-32208	38	10	proposed	propose	VERB
fcis-32208	38	11	methods	method	NOUN
fcis-32208	38	12	.	.	PUNCT
fcis-32208	39	1	section	section	NOUN
fcis-32208	39	2	4	4	NUM
fcis-32208	39	3	evaluates	evaluate	VERB
fcis-32208	39	4	the	the	DET
fcis-32208	39	5	performance	performance	NOUN
fcis-32208	39	6	of	of	ADP
fcis-32208	39	7	the	the	DET
fcis-32208	39	8	model	model	NOUN
fcis-32208	39	9	,	,	PUNCT
fcis-32208	39	10	and	and	CCONJ
fcis-32208	39	11	section	section	NOUN
fcis-32208	39	12	5	5	NUM
fcis-32208	39	13	concludes	conclude	VERB
fcis-32208	39	14	the	the	DET
fcis-32208	39	15	paper	paper	NOUN
fcis-32208	39	16	.	.	PUNCT
fcis-32208	40	1	2	2	X
fcis-32208	40	2	.	.	NUM
fcis-32208	40	3	related	relate	VERB
fcis-32208	40	4	work	work	NOUN
fcis-32208	40	5	anomaly	anomaly	NOUN
fcis-32208	40	6	detection	detection	NOUN
fcis-32208	40	7	is	be	AUX
fcis-32208	40	8	a	a	DET
fcis-32208	40	9	fundamental	fundamental	ADJ
fcis-32208	40	10	task	task	NOUN
fcis-32208	40	11	in	in	ADP
fcis-32208	40	12	areas	area	NOUN
fcis-32208	40	13	such	such	ADJ
fcis-32208	40	14	as	as	ADP
fcis-32208	40	15	internet	internet	NOUN
fcis-32208	40	16	monitoring	monitoring	NOUN
fcis-32208	40	17	,	,	PUNCT
fcis-32208	40	18	cybersecurity	cybersecurity	NOUN
fcis-32208	40	19	,	,	PUNCT
fcis-32208	40	20	and	and	CCONJ
fcis-32208	40	21	social	social	ADJ
fcis-32208	40	22	network	network	NOUN
fcis-32208	40	23	analysis	analysis	NOUN
fcis-32208	40	24	[	[	X
fcis-32208	40	25	10	10	NUM
fcis-32208	40	26	]	]	PUNCT
fcis-32208	40	27	.	.	PUNCT
fcis-32208	41	1	existing	exist	VERB
fcis-32208	41	2	approaches	approach	NOUN
fcis-32208	41	3	for	for	ADP
fcis-32208	41	4	event	event	NOUN
fcis-32208	41	5	detection	detection	NOUN
fcis-32208	41	6	in	in	ADP
fcis-32208	41	7	social	social	ADJ
fcis-32208	41	8	networks	network	NOUN
fcis-32208	41	9	can	can	AUX
fcis-32208	41	10	be	be	AUX
fcis-32208	41	11	broadly	broadly	ADV
fcis-32208	41	12	categorized	categorize	VERB
fcis-32208	41	13	into	into	ADP
fcis-32208	41	14	clusteringbased	clusteringbase	VERB
fcis-32208	41	15	,	,	PUNCT
fcis-32208	41	16	topic	topic	NOUN
fcis-32208	41	17	modeling	modeling	NOUN
fcis-32208	41	18	-	-	PUNCT
fcis-32208	41	19	based	base	VERB
fcis-32208	41	20	,	,	PUNCT
fcis-32208	41	21	and	and	CCONJ
fcis-32208	41	22	deep	deep	ADJ
fcis-32208	41	23	learning	learning	NOUN
fcis-32208	41	24	-	-	PUNCT
fcis-32208	41	25	based	base	VERB
fcis-32208	41	26	methods	method	NOUN
fcis-32208	41	27	,	,	PUNCT
fcis-32208	41	28	all	all	PRON
fcis-32208	41	29	of	of	ADP
fcis-32208	41	30	which	which	PRON
fcis-32208	41	31	aim	aim	VERB
fcis-32208	41	32	to	to	PART
fcis-32208	41	33	ensure	ensure	VERB
fcis-32208	41	34	network	network	NOUN
fcis-32208	41	35	security	security	NOUN
fcis-32208	41	36	and	and	CCONJ
fcis-32208	41	37	stability	stability	NOUN
fcis-32208	41	38	.	.	PUNCT
fcis-32208	42	1	in	in	ADP
fcis-32208	42	2	practical	practical	ADJ
fcis-32208	42	3	applications	application	NOUN
fcis-32208	42	4	,	,	PUNCT
fcis-32208	42	5	researchers	researcher	NOUN
fcis-32208	42	6	typically	typically	ADV
fcis-32208	42	7	exploit	exploit	VERB
fcis-32208	42	8	features	feature	NOUN
fcis-32208	42	9	such	such	ADJ
fcis-32208	42	10	as	as	ADP
fcis-32208	42	11	keywords	keyword	NOUN
fcis-32208	42	12	,	,	PUNCT
fcis-32208	42	13	timestamps	timestamp	NOUN
fcis-32208	42	14	,	,	PUNCT
fcis-32208	42	15	geographic	geographic	ADJ
fcis-32208	42	16	information	information	NOUN
fcis-32208	42	17	,	,	PUNCT
fcis-32208	42	18	and	and	CCONJ
fcis-32208	42	19	tags	tag	NOUN
fcis-32208	42	20	.	.	PUNCT
fcis-32208	43	1	for	for	ADP
fcis-32208	43	2	instance	instance	NOUN
fcis-32208	43	3	,	,	PUNCT
fcis-32208	43	4	li	li	PROPN
fcis-32208	43	5	and	and	CCONJ
fcis-32208	43	6	jung	jung	PROPN
fcis-32208	44	1	[	[	X
fcis-32208	44	2	11	11	NUM
fcis-32208	44	3	]	]	PUNCT
fcis-32208	44	4	proposed	propose	VERB
fcis-32208	44	5	maled	male	VERB
fcis-32208	44	6	by	by	ADP
fcis-32208	44	7	combining	combine	VERB
fcis-32208	44	8	statistical	statistical	ADJ
fcis-32208	44	9	techniques	technique	NOUN
fcis-32208	44	10	with	with	ADP
fcis-32208	44	11	keyword	keyword	NOUN
fcis-32208	44	12	analysis	analysis	NOUN
fcis-32208	44	13	,	,	PUNCT
fcis-32208	44	14	while	while	SCONJ
fcis-32208	44	15	zuo	zuo	PROPN
fcis-32208	44	16	et	et	PROPN
fcis-32208	44	17	al	al	PROPN
fcis-32208	44	18	.	.	PUNCT
fcis-32208	45	1	[	[	X
fcis-32208	45	2	12	12	NUM
fcis-32208	45	3	]	]	PUNCT
fcis-32208	45	4	constructed	construct	VERB
fcis-32208	45	5	weighted	weight	VERB
fcis-32208	45	6	cooccurrence	cooccurrence	NOUN
fcis-32208	45	7	graphs	graph	NOUN
fcis-32208	45	8	for	for	ADP
fcis-32208	45	9	event	event	NOUN
fcis-32208	45	10	tracking	tracking	NOUN
fcis-32208	45	11	.	.	PUNCT
fcis-32208	46	1	zhang	zhang	PROPN
fcis-32208	46	2	et	et	PROPN
fcis-32208	46	3	al	al	PROPN
fcis-32208	46	4	.	.	PUNCT
fcis-32208	47	1	[	[	X
fcis-32208	47	2	13	13	NUM
fcis-32208	47	3	]	]	PUNCT
fcis-32208	47	4	further	far	ADV
fcis-32208	47	5	integrated	integrate	VERB
fcis-32208	47	6	geographic	geographic	ADJ
fcis-32208	47	7	data	datum	NOUN
fcis-32208	47	8	for	for	ADP
fcis-32208	47	9	local	local	ADJ
fcis-32208	47	10	event	event	NOUN
fcis-32208	47	11	monitoring	monitoring	NOUN
fcis-32208	47	12	,	,	PUNCT
fcis-32208	47	13	and	and	CCONJ
fcis-32208	47	14	stilo	stilo	PROPN
fcis-32208	47	15	et	et	PROPN
fcis-32208	47	16	al	al	PROPN
fcis-32208	47	17	.	.	PUNCT
fcis-32208	48	1	[	[	X
fcis-32208	48	2	14	14	NUM
fcis-32208	48	3	]	]	PUNCT
fcis-32208	48	4	addressed	address	VERB
fcis-32208	48	5	the	the	DET
fcis-32208	48	6	short	short	ADJ
fcis-32208	48	7	-	-	PUNCT
fcis-32208	48	8	text	text	NOUN
fcis-32208	48	9	limitation	limitation	NOUN
fcis-32208	48	10	of	of	ADP
fcis-32208	48	11	tweets	tweet	NOUN
fcis-32208	48	12	by	by	ADP
fcis-32208	48	13	applying	apply	VERB
fcis-32208	48	14	temporal	temporal	ADJ
fcis-32208	48	15	cooccurrence	cooccurrence	NOUN
fcis-32208	48	16	and	and	CCONJ
fcis-32208	48	17	symbolic	symbolic	ADJ
fcis-32208	48	18	aggregate	aggregate	NOUN
fcis-32208	48	19	approximation	approximation	NOUN
fcis-32208	48	20	(	(	PUNCT
fcis-32208	48	21	sax	sax	NOUN
fcis-32208	48	22	)	)	PUNCT
fcis-32208	48	23	to	to	ADP
fcis-32208	48	24	time	time	NOUN
fcis-32208	48	25	-	-	PUNCT
fcis-32208	48	26	series	series	NOUN
fcis-32208	48	27	modeling	modeling	NOUN
fcis-32208	48	28	.	.	PUNCT
fcis-32208	49	1	in	in	ADP
fcis-32208	49	2	addition	addition	NOUN
fcis-32208	49	3	,	,	PUNCT
fcis-32208	49	4	bountrogiannis	bountrogiannis	PROPN
fcis-32208	49	5	et	et	PROPN
fcis-32208	49	6	al	al	PROPN
fcis-32208	49	7	.	.	PUNCT
fcis-32208	50	1	[	[	X
fcis-32208	50	2	15	15	NUM
fcis-32208	50	3	]	]	PUNCT
fcis-32208	50	4	adopted	adopt	VERB
fcis-32208	50	5	a	a	DET
fcis-32208	50	6	neural	neural	ADJ
fcis-32208	50	7	variational	variational	ADJ
fcis-32208	50	8	document	document	NOUN
fcis-32208	50	9	model	model	NOUN
fcis-32208	50	10	for	for	ADP
fcis-32208	50	11	analyzing	analyze	VERB
fcis-32208	50	12	log	log	NOUN
fcis-32208	50	13	data	datum	NOUN
fcis-32208	50	14	.	.	PUNCT
fcis-32208	51	1	nonetheless	nonetheless	ADV
fcis-32208	51	2	,	,	PUNCT
fcis-32208	51	3	methods	method	NOUN
fcis-32208	51	4	relying	rely	VERB
fcis-32208	51	5	on	on	ADP
fcis-32208	51	6	fixed	fix	VERB
fcis-32208	51	7	event	event	NOUN
fcis-32208	51	8	numbers	number	NOUN
fcis-32208	51	9	or	or	CCONJ
fcis-32208	51	10	constant	constant	ADJ
fcis-32208	51	11	time	time	NOUN
fcis-32208	51	12	intervals	interval	NOUN
fcis-32208	51	13	often	often	ADV
fcis-32208	51	14	struggle	struggle	VERB
fcis-32208	51	15	to	to	PART
fcis-32208	51	16	characterize	characterize	VERB
fcis-32208	51	17	dynamic	dynamic	ADJ
fcis-32208	51	18	and	and	CCONJ
fcis-32208	51	19	evolving	evolve	VERB
fcis-32208	51	20	events	event	NOUN
fcis-32208	51	21	.	.	PUNCT
fcis-32208	52	1	topic	topic	NOUN
fcis-32208	52	2	modeling	modeling	NOUN
fcis-32208	52	3	has	have	AUX
fcis-32208	52	4	also	also	ADV
fcis-32208	52	5	been	be	AUX
fcis-32208	52	6	extensively	extensively	ADV
fcis-32208	52	7	employed	employ	VERB
fcis-32208	52	8	for	for	ADP
fcis-32208	52	9	event	event	NOUN
fcis-32208	52	10	identification	identification	NOUN
fcis-32208	52	11	.	.	PUNCT
fcis-32208	53	1	li	li	PROPN
fcis-32208	53	2	et	et	PROPN
fcis-32208	53	3	al	al	PROPN
fcis-32208	53	4	.	.	PUNCT
fcis-32208	54	1	[	[	X
fcis-32208	54	2	16	16	NUM
fcis-32208	54	3	]	]	X
fcis-32208	54	4	utilized	utilize	VERB
fcis-32208	54	5	probabilistic	probabilistic	ADJ
fcis-32208	54	6	models	model	NOUN
fcis-32208	54	7	to	to	PART
fcis-32208	54	8	identify	identify	VERB
fcis-32208	54	9	log	log	NOUN
fcis-32208	54	10	events	event	NOUN
fcis-32208	54	11	by	by	ADP
fcis-32208	54	12	uncovering	uncover	VERB
fcis-32208	54	13	latent	latent	ADJ
fcis-32208	54	14	topic	topic	NOUN
fcis-32208	54	15	distributions	distribution	NOUN
fcis-32208	54	16	,	,	PUNCT
fcis-32208	54	17	whereas	whereas	SCONJ
fcis-32208	54	18	xie	xie	PROPN
fcis-32208	54	19	et	et	PROPN
fcis-32208	54	20	al	al	PROPN
fcis-32208	54	21	.	.	PUNCT
fcis-32208	55	1	[	[	X
fcis-32208	55	2	17	17	NUM
fcis-32208	55	3	]	]	PUNCT
fcis-32208	55	4	exploited	exploit	VERB
fcis-32208	55	5	hashtags	hashtag	NOUN
fcis-32208	55	6	and	and	CCONJ
fcis-32208	55	7	lda	lda	VERB
fcis-32208	55	8	to	to	PART
fcis-32208	55	9	reveal	reveal	VERB
fcis-32208	55	10	thematic	thematic	ADJ
fcis-32208	55	11	structures	structure	NOUN
fcis-32208	55	12	.	.	PUNCT
fcis-32208	56	1	diao	diao	VERB
fcis-32208	56	2	et	et	PROPN
fcis-32208	56	3	al	al	PROPN
fcis-32208	56	4	.	.	PUNCT
fcis-32208	57	1	[	[	X
fcis-32208	57	2	18	18	NUM
fcis-32208	57	3	]	]	PUNCT
fcis-32208	57	4	introduced	introduce	VERB
fcis-32208	57	5	timeuserlda	timeuserlda	NOUN
fcis-32208	57	6	,	,	PUNCT
fcis-32208	57	7	which	which	PRON
fcis-32208	57	8	incorporates	incorporate	VERB
fcis-32208	57	9	temporal	temporal	ADJ
fcis-32208	57	10	signals	signal	NOUN
fcis-32208	57	11	and	and	CCONJ
fcis-32208	57	12	poisson	poisson	NOUN
fcis-32208	57	13	processes	process	NOUN
fcis-32208	57	14	for	for	ADP
fcis-32208	57	15	bursty	bursty	NOUN
fcis-32208	57	16	topic	topic	NOUN
fcis-32208	57	17	detection	detection	NOUN
fcis-32208	57	18	,	,	PUNCT
fcis-32208	57	19	and	and	CCONJ
fcis-32208	57	20	wang	wang	PROPN
fcis-32208	57	21	et	et	PROPN
fcis-32208	57	22	al	al	PROPN
fcis-32208	57	23	.	.	PUNCT
fcis-32208	58	1	[	[	X
fcis-32208	58	2	19	19	NUM
fcis-32208	58	3	]	]	PUNCT
fcis-32208	58	4	proposed	propose	VERB
fcis-32208	58	5	a	a	DET
fcis-32208	58	6	gan	gan	PROPN
fcis-32208	58	7	-	-	PUNCT
fcis-32208	58	8	based	base	VERB
fcis-32208	58	9	neural	neural	ADJ
fcis-32208	58	10	topic	topic	NOUN
fcis-32208	58	11	model	model	NOUN
fcis-32208	58	12	to	to	PART
fcis-32208	58	13	explore	explore	VERB
fcis-32208	58	14	semantic	semantic	ADJ
fcis-32208	58	15	correlations	correlation	NOUN
fcis-32208	58	16	among	among	ADP
fcis-32208	58	17	latent	latent	ADJ
fcis-32208	58	18	topics	topic	NOUN
fcis-32208	58	19	.	.	PUNCT
fcis-32208	59	1	more	more	ADV
fcis-32208	59	2	recently	recently	ADV
fcis-32208	59	3	,	,	PUNCT
fcis-32208	59	4	logan	logan	PROPN
fcis-32208	59	5	et	et	PROPN
fcis-32208	59	6	al	al	PROPN
fcis-32208	59	7	.	.	PUNCT
fcis-32208	60	1	[	[	X
fcis-32208	60	2	20	20	NUM
fcis-32208	60	3	]	]	PUNCT
fcis-32208	60	4	developed	develop	VERB
fcis-32208	60	5	warble	warble	ADJ
fcis-32208	60	6	,	,	PUNCT
fcis-32208	60	7	a	a	DET
fcis-32208	60	8	spatiotemporal	spatiotemporal	ADJ
fcis-32208	60	9	probabilistic	probabilistic	ADJ
fcis-32208	60	10	framework	framework	NOUN
fcis-32208	60	11	linking	link	VERB
fcis-32208	60	12	online	online	ADJ
fcis-32208	60	13	social	social	ADJ
fcis-32208	60	14	networks	network	NOUN
fcis-32208	60	15	with	with	ADP
fcis-32208	60	16	realworld	realworld	PROPN
fcis-32208	60	17	events	event	NOUN
fcis-32208	60	18	.	.	PUNCT
fcis-32208	61	1	however	however	ADV
fcis-32208	61	2	,	,	PUNCT
fcis-32208	61	3	the	the	DET
fcis-32208	61	4	requirement	requirement	NOUN
fcis-32208	61	5	of	of	ADP
fcis-32208	61	6	predefined	predefine	VERB
fcis-32208	61	7	event	event	NOUN
fcis-32208	61	8	numbers	number	NOUN
fcis-32208	61	9	in	in	ADP
fcis-32208	61	10	most	most	ADJ
fcis-32208	61	11	topic	topic	NOUN
fcis-32208	61	12	models	model	NOUN
fcis-32208	61	13	limits	limit	VERB
fcis-32208	61	14	their	their	PRON
fcis-32208	61	15	ability	ability	NOUN
fcis-32208	61	16	to	to	PART
fcis-32208	61	17	detect	detect	VERB
fcis-32208	61	18	emerging	emerge	VERB
fcis-32208	61	19	or	or	CCONJ
fcis-32208	61	20	evolving	evolve	VERB
fcis-32208	61	21	patterns	pattern	NOUN
fcis-32208	61	22	.	.	PUNCT
fcis-32208	62	1	beyond	beyond	ADP
fcis-32208	62	2	topic	topic	NOUN
fcis-32208	62	3	modeling	modeling	NOUN
fcis-32208	62	4	,	,	PUNCT
fcis-32208	62	5	clusteringand	clusteringand	NOUN
fcis-32208	62	6	feature	feature	NOUN
fcis-32208	62	7	-	-	PUNCT
fcis-32208	62	8	driven	drive	VERB
fcis-32208	62	9	methods	method	NOUN
fcis-32208	62	10	have	have	AUX
fcis-32208	62	11	also	also	ADV
fcis-32208	62	12	been	be	AUX
fcis-32208	62	13	investigated	investigate	VERB
fcis-32208	62	14	for	for	ADP
fcis-32208	62	15	anomaly	anomaly	NOUN
fcis-32208	62	16	detection	detection	NOUN
fcis-32208	62	17	.	.	PUNCT
fcis-32208	63	1	pu	pu	PROPN
fcis-32208	63	2	et	et	PROPN
fcis-32208	63	3	al	al	PROPN
fcis-32208	63	4	.	.	PUNCT
fcis-32208	64	1	[	[	X
fcis-32208	64	2	21	21	NUM
fcis-32208	64	3	]	]	PUNCT
fcis-32208	64	4	clustered	clustered	ADJ
fcis-32208	64	5	historical	historical	ADJ
fcis-32208	64	6	and	and	CCONJ
fcis-32208	64	7	predicted	predict	VERB
fcis-32208	64	8	log	log	NOUN
fcis-32208	64	9	events	event	NOUN
fcis-32208	64	10	with	with	ADP
fcis-32208	64	11	the	the	DET
fcis-32208	64	12	aid	aid	NOUN
fcis-32208	64	13	of	of	ADP
fcis-32208	64	14	knowledge	knowledge	NOUN
fcis-32208	64	15	bases	basis	NOUN
fcis-32208	64	16	,	,	PUNCT
fcis-32208	64	17	while	while	SCONJ
fcis-32208	64	18	yan	yan	PROPN
fcis-32208	64	19	et	et	PROPN
fcis-32208	64	20	al	al	PROPN
fcis-32208	64	21	.	.	PUNCT
fcis-32208	65	1	[	[	X
fcis-32208	65	2	22	22	NUM
fcis-32208	65	3	]	]	PUNCT
fcis-32208	65	4	proposed	propose	VERB
fcis-32208	65	5	an	an	DET
fcis-32208	65	6	invariant	invariant	ADJ
fcis-32208	65	7	anomaly	anomaly	NOUN
fcis-32208	65	8	detection	detection	NOUN
fcis-32208	65	9	approach	approach	NOUN
fcis-32208	65	10	for	for	ADP
fcis-32208	65	11	unstructured	unstructured	ADJ
fcis-32208	65	12	logs	log	NOUN
fcis-32208	65	13	.	.	PUNCT
fcis-32208	66	1	omuya	omuya	PROPN
fcis-32208	66	2	et	et	PROPN
fcis-32208	66	3	al	al	PROPN
fcis-32208	66	4	.	.	PUNCT
fcis-32208	67	1	[	[	X
fcis-32208	67	2	23	23	NUM
fcis-32208	67	3	]	]	PUNCT
fcis-32208	67	4	applied	apply	VERB
fcis-32208	67	5	pca	pca	NOUN
fcis-32208	67	6	to	to	PART
fcis-32208	67	7	separate	separate	VERB
fcis-32208	67	8	normal	normal	ADJ
fcis-32208	67	9	and	and	CCONJ
fcis-32208	67	10	abnormal	abnormal	ADJ
fcis-32208	67	11	log	log	NOUN
fcis-32208	67	12	event	event	NOUN
fcis-32208	67	13	spaces	space	VERB
fcis-32208	67	14	,	,	PUNCT
fcis-32208	67	15	and	and	CCONJ
fcis-32208	67	16	gnouma	gnouma	NOUN
fcis-32208	67	17	et	et	PROPN
fcis-32208	67	18	al	al	PROPN
fcis-32208	67	19	.	.	PUNCT
fcis-32208	68	1	[	[	X
fcis-32208	68	2	24	24	NUM
fcis-32208	68	3	]	]	PUNCT
fcis-32208	68	4	employed	employ	VERB
fcis-32208	68	5	stacked	stack	VERB
fcis-32208	68	6	sparse	sparse	ADJ
fcis-32208	68	7	autoencoders	autoencoder	NOUN
fcis-32208	68	8	to	to	PART
fcis-32208	68	9	extract	extract	VERB
fcis-32208	68	10	critical	critical	ADJ
fcis-32208	68	11	events	event	NOUN
fcis-32208	68	12	.	.	PUNCT
fcis-32208	69	1	nevertheless	nevertheless	ADV
fcis-32208	69	2	,	,	PUNCT
fcis-32208	69	3	unsupervised	unsupervised	ADJ
fcis-32208	69	4	learning	learning	NOUN
fcis-32208	69	5	methods	method	NOUN
fcis-32208	69	6	often	often	ADV
fcis-32208	69	7	face	face	VERB
fcis-32208	69	8	performance	performance	NOUN
fcis-32208	69	9	degradation	degradation	NOUN
fcis-32208	69	10	in	in	ADP
fcis-32208	69	11	terms	term	NOUN
fcis-32208	69	12	of	of	ADP
fcis-32208	69	13	accuracy	accuracy	NOUN
fcis-32208	69	14	and	and	CCONJ
fcis-32208	69	15	stability	stability	NOUN
fcis-32208	69	16	due	due	ADP
fcis-32208	69	17	to	to	ADP
fcis-32208	69	18	the	the	DET
fcis-32208	69	19	lack	lack	NOUN
fcis-32208	69	20	of	of	ADP
fcis-32208	69	21	labeled	label	VERB
fcis-32208	69	22	data	datum	NOUN
fcis-32208	69	23	.	.	PUNCT
fcis-32208	70	1	overall	overall	ADJ
fcis-32208	70	2	,	,	PUNCT
fcis-32208	70	3	prior	prior	ADJ
fcis-32208	70	4	studies	study	NOUN
fcis-32208	70	5	provide	provide	VERB
fcis-32208	70	6	valuable	valuable	ADJ
fcis-32208	70	7	foundations	foundation	NOUN
fcis-32208	70	8	but	but	CCONJ
fcis-32208	70	9	remain	remain	VERB
fcis-32208	70	10	limited	limited	ADJ
fcis-32208	70	11	by	by	ADP
fcis-32208	70	12	assumptions	assumption	NOUN
fcis-32208	70	13	of	of	ADP
fcis-32208	70	14	fixed	fix	VERB
fcis-32208	70	15	event	event	NOUN
fcis-32208	70	16	structures	structure	NOUN
fcis-32208	70	17	and	and	CCONJ
fcis-32208	70	18	insufficient	insufficient	ADJ
fcis-32208	70	19	modeling	modeling	NOUN
fcis-32208	70	20	of	of	ADP
fcis-32208	70	21	causal	causal	ADJ
fcis-32208	70	22	relationships	relationship	NOUN
fcis-32208	70	23	.	.	PUNCT
fcis-32208	71	1	to	to	PART
fcis-32208	71	2	overcome	overcome	VERB
fcis-32208	71	3	these	these	DET
fcis-32208	71	4	challenges	challenge	NOUN
fcis-32208	71	5	,	,	PUNCT
fcis-32208	71	6	we	we	PRON
fcis-32208	71	7	introduce	introduce	VERB
fcis-32208	71	8	a	a	DET
fcis-32208	71	9	causal	causal	NOUN
fcis-32208	71	10	entropy	entropy	NOUN
fcis-32208	71	11	–	–	PUNCT
fcis-32208	71	12	driven	drive	VERB
fcis-32208	71	13	generative	generative	ADJ
fcis-32208	71	14	adversarial	adversarial	ADJ
fcis-32208	71	15	approach	approach	NOUN
fcis-32208	71	16	that	that	PRON
fcis-32208	71	17	unifies	unify	VERB
fcis-32208	71	18	causal	causal	ADJ
fcis-32208	71	19	dependency	dependency	NOUN
fcis-32208	71	20	modeling	modeling	NOUN
fcis-32208	71	21	with	with	ADP
fcis-32208	71	22	adversarial	adversarial	ADJ
fcis-32208	71	23	sequence	sequence	NOUN
fcis-32208	71	24	learning	learning	NOUN
fcis-32208	71	25	,	,	PUNCT
fcis-32208	71	26	enabling	enable	VERB
fcis-32208	71	27	more	more	ADV
fcis-32208	71	28	precise	precise	ADJ
fcis-32208	71	29	and	and	CCONJ
fcis-32208	71	30	robust	robust	ADJ
fcis-32208	71	31	detection	detection	NOUN
fcis-32208	71	32	of	of	ADP
fcis-32208	71	33	anomalous	anomalous	ADJ
fcis-32208	71	34	events	event	NOUN
fcis-32208	71	35	in	in	ADP
fcis-32208	71	36	social	social	ADJ
fcis-32208	71	37	networks	network	NOUN
fcis-32208	71	38	.	.	PUNCT
fcis-32208	72	1	3	3	X
fcis-32208	72	2	.	.	X
fcis-32208	72	3	methods	method	NOUN
fcis-32208	72	4	in	in	ADP
fcis-32208	72	5	this	this	DET
fcis-32208	72	6	paper	paper	NOUN
fcis-32208	72	7	,	,	PUNCT
fcis-32208	72	8	proposes	propose	VERB
fcis-32208	72	9	a	a	DET
fcis-32208	72	10	causal	causal	NOUN
fcis-32208	72	11	entropy	entropy	NOUN
fcis-32208	72	12	–	–	PUNCT
fcis-32208	72	13	driven	drive	VERB
fcis-32208	72	14	generative	generative	ADJ
fcis-32208	72	15	adversarial	adversarial	ADJ
fcis-32208	72	16	learning	learning	NOUN
fcis-32208	72	17	(	(	PUNCT
fcis-32208	72	18	ganaed	ganae	VERB
fcis-32208	72	19	)	)	PUNCT
fcis-32208	72	20	for	for	ADP
fcis-32208	72	21	anomalous	anomalous	ADJ
fcis-32208	72	22	event	event	NOUN
fcis-32208	72	23	detection	detection	NOUN
fcis-32208	72	24	in	in	ADP
fcis-32208	72	25	social	social	ADJ
fcis-32208	72	26	networks	network	NOUN
fcis-32208	72	27	,	,	PUNCT
fcis-32208	72	28	aimed	aim	VERB
fcis-32208	72	29	at	at	ADP
fcis-32208	72	30	identifying	identify	VERB
fcis-32208	72	31	anomalous	anomalous	ADJ
fcis-32208	72	32	behaviors	behavior	NOUN
fcis-32208	72	33	within	within	ADP
fcis-32208	72	34	the	the	DET
fcis-32208	72	35	content	content	NOUN
fcis-32208	72	36	of	of	ADP
fcis-32208	72	37	social	social	ADJ
fcis-32208	72	38	network	network	NOUN
fcis-32208	72	39	events	event	NOUN
fcis-32208	72	40	.	.	PUNCT
fcis-32208	73	1	to	to	PART
fcis-32208	73	2	facilitate	facilitate	VERB
fcis-32208	73	3	better	well	ADJ
fcis-32208	73	4	understanding	understanding	NOUN
fcis-32208	73	5	,	,	PUNCT
fcis-32208	73	6	figure	figure	NOUN
fcis-32208	73	7	1	1	NUM
fcis-32208	73	8	illustrates	illustrate	VERB
fcis-32208	73	9	the	the	DET
fcis-32208	73	10	architecture	architecture	NOUN
fcis-32208	73	11	of	of	ADP
fcis-32208	73	12	the	the	DET
fcis-32208	73	13	ganaed	ganaed	NOUN
fcis-32208	73	14	method	method	NOUN
fcis-32208	73	15	,	,	PUNCT
fcis-32208	73	16	which	which	PRON
fcis-32208	73	17	is	be	AUX
fcis-32208	73	18	primarily	primarily	ADV
fcis-32208	73	19	divided	divide	VERB
fcis-32208	73	20	into	into	ADP
fcis-32208	73	21	the	the	DET
fcis-32208	73	22	following	follow	VERB
fcis-32208	73	23	three	three	NUM
fcis-32208	73	24	key	key	ADJ
fcis-32208	73	25	components	component	NOUN
fcis-32208	73	26	:	:	PUNCT
fcis-32208	73	27	fig	fig	NOUN
fcis-32208	73	28	1	1	NUM
fcis-32208	73	29	.	.	PUNCT
fcis-32208	73	30	method	method	NOUN
fcis-32208	73	31	architecture	architecture	NOUN
fcis-32208	73	32	.	.	PUNCT
fcis-32208	74	1	1	1	X
fcis-32208	74	2	.	.	X
fcis-32208	74	3	log	log	NOUN
fcis-32208	74	4	parsing	parsing	NOUN
fcis-32208	74	5	:	:	PUNCT
fcis-32208	74	6	this	this	DET
fcis-32208	74	7	phase	phase	NOUN
fcis-32208	74	8	involves	involve	VERB
fcis-32208	74	9	converting	convert	VERB
fcis-32208	74	10	unstructured	unstructured	ADJ
fcis-32208	74	11	logs	log	NOUN
fcis-32208	74	12	into	into	ADP
fcis-32208	74	13	a	a	DET
fcis-32208	74	14	structured	structured	ADJ
fcis-32208	74	15	format	format	NOUN
fcis-32208	74	16	for	for	ADP
fcis-32208	74	17	subsequent	subsequent	ADJ
fcis-32208	74	18	analysis	analysis	NOUN
fcis-32208	74	19	.	.	PUNCT
fcis-32208	75	1	this	this	DET
fcis-32208	75	2	process	process	NOUN
fcis-32208	75	3	includes	include	VERB
fcis-32208	75	4	extracting	extract	VERB
fcis-32208	75	5	crucial	crucial	ADJ
fcis-32208	75	6	information	information	NOUN
fcis-32208	75	7	such	such	ADJ
fcis-32208	75	8	as	as	ADP
fcis-32208	75	9	timestamps	timestamp	NOUN
fcis-32208	75	10	,	,	PUNCT
fcis-32208	75	11	ip	ip	NOUN
fcis-32208	75	12	addresses	address	NOUN
fcis-32208	75	13	,	,	PUNCT
fcis-32208	75	14	user	user	NOUN
fcis-32208	75	15	behaviors	behavior	NOUN
fcis-32208	75	16	,	,	PUNCT
fcis-32208	75	17	and	and	CCONJ
fcis-32208	75	18	event	event	NOUN
fcis-32208	75	19	content	content	NOUN
fcis-32208	75	20	.	.	PUNCT
fcis-32208	76	1	2	2	X
fcis-32208	76	2	.	.	X
fcis-32208	76	3	causality	causality	NOUN
fcis-32208	76	4	mining	mining	NOUN
fcis-32208	76	5	:	:	PUNCT
fcis-32208	76	6	structured	structure	VERB
fcis-32208	76	7	log	log	NOUN
fcis-32208	76	8	events	event	NOUN
fcis-32208	76	9	are	be	AUX
fcis-32208	76	10	encoded	encode	VERB
fcis-32208	76	11	10	10	NUM
fcis-32208	76	12	chronologically	chronologically	ADV
fcis-32208	76	13	,	,	PUNCT
fcis-32208	76	14	and	and	CCONJ
fcis-32208	76	15	standardized	standardized	ADJ
fcis-32208	76	16	causal	causal	ADJ
fcis-32208	76	17	entropy	entropy	NOUN
fcis-32208	76	18	is	be	AUX
fcis-32208	76	19	utilized	utilize	VERB
fcis-32208	76	20	to	to	PART
fcis-32208	76	21	compute	compute	VERB
fcis-32208	76	22	the	the	DET
fcis-32208	76	23	causal	causal	ADJ
fcis-32208	76	24	strength	strength	NOUN
fcis-32208	76	25	between	between	ADP
fcis-32208	76	26	two	two	NUM
fcis-32208	76	27	log	log	NOUN
fcis-32208	76	28	events	event	NOUN
fcis-32208	76	29	.	.	PUNCT
fcis-32208	77	1	this	this	DET
fcis-32208	77	2	step	step	NOUN
fcis-32208	77	3	mitigates	mitigate	VERB
fcis-32208	77	4	the	the	DET
fcis-32208	77	5	misleading	misleading	ADJ
fcis-32208	77	6	effects	effect	NOUN
fcis-32208	77	7	of	of	ADP
fcis-32208	77	8	indirect	indirect	ADJ
fcis-32208	77	9	causal	causal	ADJ
fcis-32208	77	10	relationships	relationship	NOUN
fcis-32208	77	11	resulting	result	VERB
fcis-32208	77	12	from	from	ADP
fcis-32208	77	13	multiple	multiple	ADJ
fcis-32208	77	14	confounding	confound	VERB
fcis-32208	77	15	factors	factor	NOUN
fcis-32208	77	16	.	.	PUNCT
fcis-32208	78	1	understanding	understand	VERB
fcis-32208	78	2	causality	causality	NOUN
fcis-32208	78	3	is	be	AUX
fcis-32208	78	4	crucial	crucial	ADJ
fcis-32208	78	5	for	for	ADP
fcis-32208	78	6	building	build	VERB
fcis-32208	78	7	more	more	ADV
fcis-32208	78	8	precise	precise	ADJ
fcis-32208	78	9	predictive	predictive	ADJ
fcis-32208	78	10	models	model	NOUN
fcis-32208	78	11	and	and	CCONJ
fcis-32208	78	12	devising	devise	VERB
fcis-32208	78	13	effective	effective	ADJ
fcis-32208	78	14	intervention	intervention	NOUN
fcis-32208	78	15	strategies	strategy	NOUN
fcis-32208	78	16	.	.	PUNCT
fcis-32208	79	1	3	3	X
fcis-32208	79	2	.	.	X
fcis-32208	79	3	generative	generative	ADJ
fcis-32208	79	4	adversarial	adversarial	ADJ
fcis-32208	79	5	learning	learning	NOUN
fcis-32208	79	6	:	:	PUNCT
fcis-32208	79	7	parsed	parse	VERB
fcis-32208	79	8	social	social	ADJ
fcis-32208	79	9	flow	flow	NOUN
fcis-32208	79	10	logs	log	NOUN
fcis-32208	79	11	are	be	AUX
fcis-32208	79	12	inputted	inputte	VERB
fcis-32208	79	13	into	into	ADP
fcis-32208	79	14	the	the	DET
fcis-32208	79	15	generator	generator	NOUN
fcis-32208	79	16	,	,	PUNCT
fcis-32208	79	17	which	which	PRON
fcis-32208	79	18	is	be	AUX
fcis-32208	79	19	trained	train	VERB
fcis-32208	79	20	to	to	PART
fcis-32208	79	21	generate	generate	VERB
fcis-32208	79	22	events	event	NOUN
fcis-32208	79	23	similar	similar	ADJ
fcis-32208	79	24	to	to	ADP
fcis-32208	79	25	real	real	ADJ
fcis-32208	79	26	log	log	NOUN
fcis-32208	79	27	events	event	NOUN
fcis-32208	79	28	.	.	PUNCT
fcis-32208	80	1	the	the	DET
fcis-32208	80	2	discriminator	discriminator	NOUN
fcis-32208	80	3	is	be	AUX
fcis-32208	80	4	then	then	ADV
fcis-32208	80	5	employed	employ	VERB
fcis-32208	80	6	to	to	PART
fcis-32208	80	7	distinguish	distinguish	VERB
fcis-32208	80	8	between	between	ADP
fcis-32208	80	9	real	real	ADJ
fcis-32208	80	10	log	log	NOUN
fcis-32208	80	11	events	event	NOUN
fcis-32208	80	12	and	and	CCONJ
fcis-32208	80	13	events	event	NOUN
fcis-32208	80	14	generated	generate	VERB
fcis-32208	80	15	by	by	ADP
fcis-32208	80	16	the	the	DET
fcis-32208	80	17	generator	generator	NOUN
fcis-32208	80	18	.	.	PUNCT
fcis-32208	81	1	through	through	ADP
fcis-32208	81	2	fully	fully	ADV
fcis-32208	81	3	connected	connected	ADJ
fcis-32208	81	4	layers	layer	NOUN
fcis-32208	81	5	,	,	PUNCT
fcis-32208	81	6	it	it	PRON
fcis-32208	81	7	calculates	calculate	VERB
fcis-32208	81	8	their	their	PRON
fcis-32208	81	9	average	average	ADJ
fcis-32208	81	10	cross	cross	ADJ
fcis-32208	81	11	-	-	ADJ
fcis-32208	81	12	entropy	entropy	ADJ
fcis-32208	81	13	total	total	ADJ
fcis-32208	81	14	loss	loss	NOUN
fcis-32208	81	15	to	to	PART
fcis-32208	81	16	discern	discern	VERB
fcis-32208	81	17	normalcy	normalcy	NOUN
fcis-32208	81	18	or	or	CCONJ
fcis-32208	81	19	anomaly	anomaly	NOUN
fcis-32208	81	20	,	,	PUNCT
fcis-32208	81	21	thus	thus	ADV
fcis-32208	81	22	enhancing	enhance	VERB
fcis-32208	81	23	the	the	DET
fcis-32208	81	24	efficiency	efficiency	NOUN
fcis-32208	81	25	of	of	ADP
fcis-32208	81	26	anomaly	anomaly	NOUN
fcis-32208	81	27	event	event	NOUN
fcis-32208	81	28	recognition	recognition	NOUN
fcis-32208	81	29	.	.	PUNCT
fcis-32208	82	1	3.1	3.1	NUM
fcis-32208	82	2	.	.	PUNCT
fcis-32208	82	3	log	log	NOUN
fcis-32208	82	4	parsing	parse	VERB
fcis-32208	82	5	the	the	DET
fcis-32208	82	6	primary	primary	ADJ
fcis-32208	82	7	objective	objective	NOUN
fcis-32208	82	8	of	of	ADP
fcis-32208	82	9	log	log	NOUN
fcis-32208	82	10	parsing	parsing	NOUN
fcis-32208	82	11	is	be	AUX
fcis-32208	82	12	to	to	PART
fcis-32208	82	13	convert	convert	VERB
fcis-32208	82	14	unstructured	unstructured	ADJ
fcis-32208	82	15	log	log	NOUN
fcis-32208	82	16	events	event	NOUN
fcis-32208	82	17	into	into	ADP
fcis-32208	82	18	a	a	DET
fcis-32208	82	19	structured	structured	ADJ
fcis-32208	82	20	format	format	NOUN
fcis-32208	82	21	for	for	ADP
fcis-32208	82	22	subsequent	subsequent	ADJ
fcis-32208	82	23	data	datum	NOUN
fcis-32208	82	24	analysis	analysis	NOUN
fcis-32208	82	25	and	and	CCONJ
fcis-32208	82	26	processing	processing	NOUN
fcis-32208	82	27	.	.	PUNCT
fcis-32208	83	1	this	this	PRON
fcis-32208	83	2	entails	entail	VERB
fcis-32208	83	3	extracting	extract	VERB
fcis-32208	83	4	key	key	ADJ
fcis-32208	83	5	information	information	NOUN
fcis-32208	83	6	such	such	ADJ
fcis-32208	83	7	as	as	ADP
fcis-32208	83	8	timestamps	timestamp	NOUN
fcis-32208	83	9	,	,	PUNCT
fcis-32208	83	10	geographical	geographical	ADJ
fcis-32208	83	11	locations	location	NOUN
fcis-32208	83	12	,	,	PUNCT
fcis-32208	83	13	and	and	CCONJ
fcis-32208	83	14	user	user	NOUN
fcis-32208	83	15	behaviors	behavior	NOUN
fcis-32208	83	16	from	from	ADP
fcis-32208	83	17	raw	raw	ADJ
fcis-32208	83	18	logs	log	NOUN
fcis-32208	83	19	and	and	CCONJ
fcis-32208	83	20	organizing	organize	VERB
fcis-32208	83	21	them	they	PRON
fcis-32208	83	22	into	into	ADP
fcis-32208	83	23	a	a	DET
fcis-32208	83	24	format	format	NOUN
fcis-32208	83	25	conducive	conducive	ADJ
fcis-32208	83	26	to	to	ADP
fcis-32208	83	27	machine	machine	NOUN
fcis-32208	83	28	learning	learning	NOUN
fcis-32208	83	29	algorithms	algorithm	NOUN
fcis-32208	83	30	.	.	PUNCT
fcis-32208	84	1	through	through	ADP
fcis-32208	84	2	this	this	DET
fcis-32208	84	3	transformation	transformation	NOUN
fcis-32208	84	4	,	,	PUNCT
fcis-32208	84	5	subsequent	subsequent	ADJ
fcis-32208	84	6	models	model	NOUN
fcis-32208	84	7	can	can	AUX
fcis-32208	84	8	effectively	effectively	ADV
fcis-32208	84	9	identify	identify	VERB
fcis-32208	84	10	and	and	CCONJ
fcis-32208	84	11	analyze	analyze	VERB
fcis-32208	84	12	anomalous	anomalous	ADJ
fcis-32208	84	13	behaviors	behavior	NOUN
fcis-32208	84	14	or	or	CCONJ
fcis-32208	84	15	activities	activity	NOUN
fcis-32208	84	16	in	in	ADP
fcis-32208	84	17	social	social	ADJ
fcis-32208	84	18	networks	network	NOUN
fcis-32208	84	19	,	,	PUNCT
fcis-32208	84	20	thereby	thereby	ADV
fcis-32208	84	21	enhancing	enhance	VERB
fcis-32208	84	22	social	social	ADJ
fcis-32208	84	23	network	network	NOUN
fcis-32208	84	24	security	security	NOUN
fcis-32208	84	25	.	.	PUNCT
fcis-32208	85	1	in	in	ADP
fcis-32208	85	2	social	social	ADJ
fcis-32208	85	3	networks	network	NOUN
fcis-32208	85	4	,	,	PUNCT
fcis-32208	85	5	logs	log	NOUN
fcis-32208	85	6	typically	typically	ADV
fcis-32208	85	7	consist	consist	VERB
fcis-32208	85	8	of	of	ADP
fcis-32208	85	9	numerous	numerous	ADJ
fcis-32208	85	10	log	log	NOUN
fcis-32208	85	11	messages	message	NOUN
fcis-32208	85	12	,	,	PUNCT
fcis-32208	85	13	each	each	PRON
fcis-32208	85	14	comprising	comprise	VERB
fcis-32208	85	15	three	three	NUM
fcis-32208	85	16	crucial	crucial	ADJ
fcis-32208	85	17	components	component	NOUN
fcis-32208	85	18	:	:	PUNCT
fcis-32208	85	19	timestamp	timestamp	NOUN
fcis-32208	85	20	,	,	PUNCT
fcis-32208	85	21	ip	ip	ADJ
fcis-32208	85	22	address	address	NOUN
fcis-32208	85	23	,	,	PUNCT
fcis-32208	85	24	and	and	CCONJ
fcis-32208	85	25	event	event	NOUN
fcis-32208	85	26	content	content	NOUN
fcis-32208	85	27	.	.	PUNCT
fcis-32208	86	1	these	these	PRON
fcis-32208	86	2	are	be	AUX
fcis-32208	86	3	represented	represent	VERB
fcis-32208	86	4	as	as	ADP
fcis-32208	86	5	triplets	triplet	NOUN
fcis-32208	86	6	:	:	PUNCT
fcis-32208	86	7	,	,	PUNCT
fcis-32208	86	8	,	,	PUNCT
fcis-32208	86	9	_	_	PRON
fcis-32208	86	10	s	s	PART
fcis-32208	86	11	t	t	PROPN
fcis-32208	86	12	ip	ip	NOUN
fcis-32208	86	13	event	event	NOUN
fcis-32208	86	14	con	con	PROPN
fcis-32208	86	15			CCONJ
fcis-32208	86	16			PROPN
fcis-32208	86	17	(	(	PUNCT
fcis-32208	86	18	1	1	NUM
fcis-32208	86	19	)	)	PUNCT
fcis-32208	86	20	in	in	ADP
fcis-32208	86	21	this	this	DET
fcis-32208	86	22	section	section	NOUN
fcis-32208	86	23	,	,	PUNCT
fcis-32208	86	24	the	the	DET
fcis-32208	86	25	timestamps	timestamp	NOUN
fcis-32208	86	26	,	,	PUNCT
fcis-32208	86	27	which	which	PRON
fcis-32208	86	28	record	record	VERB
fcis-32208	86	29	the	the	DET
fcis-32208	86	30	specific	specific	ADJ
fcis-32208	86	31	dates	date	NOUN
fcis-32208	86	32	and	and	CCONJ
fcis-32208	86	33	times	time	NOUN
fcis-32208	86	34	of	of	ADP
fcis-32208	86	35	events	event	NOUN
fcis-32208	86	36	,	,	PUNCT
fcis-32208	86	37	are	be	AUX
fcis-32208	86	38	crucial	crucial	ADJ
fcis-32208	86	39	for	for	ADP
fcis-32208	86	40	tracking	track	VERB
fcis-32208	86	41	event	event	NOUN
fcis-32208	86	42	sequences	sequence	NOUN
fcis-32208	86	43	,	,	PUNCT
fcis-32208	86	44	analyzing	analyze	VERB
fcis-32208	86	45	user	user	NOUN
fcis-32208	86	46	behavior	behavior	NOUN
fcis-32208	86	47	patterns	pattern	NOUN
fcis-32208	86	48	,	,	PUNCT
fcis-32208	86	49	and	and	CCONJ
fcis-32208	86	50	identifying	identify	VERB
fcis-32208	86	51	potential	potential	ADJ
fcis-32208	86	52	security	security	NOUN
fcis-32208	86	53	threats	threat	NOUN
fcis-32208	86	54	.	.	PUNCT
fcis-32208	87	1	ip	ip	DET
fcis-32208	87	2	addresses	address	NOUN
fcis-32208	87	3	provide	provide	VERB
fcis-32208	87	4	the	the	DET
fcis-32208	87	5	network	network	NOUN
fcis-32208	87	6	location	location	NOUN
fcis-32208	87	7	information	information	NOUN
fcis-32208	87	8	where	where	SCONJ
fcis-32208	87	9	an	an	DET
fcis-32208	87	10	event	event	NOUN
fcis-32208	87	11	occurs	occur	VERB
fcis-32208	87	12	,	,	PUNCT
fcis-32208	87	13	enabling	enable	VERB
fcis-32208	87	14	the	the	DET
fcis-32208	87	15	identification	identification	NOUN
fcis-32208	87	16	of	of	ADP
fcis-32208	87	17	users	user	NOUN
fcis-32208	87	18	'	'	PART
fcis-32208	87	19	geographical	geographical	ADJ
fcis-32208	87	20	locations	location	NOUN
fcis-32208	87	21	,	,	PUNCT
fcis-32208	87	22	tracking	track	VERB
fcis-32208	87	23	different	different	ADJ
fcis-32208	87	24	login	login	NOUN
fcis-32208	87	25	attempts	attempt	NOUN
fcis-32208	87	26	,	,	PUNCT
fcis-32208	87	27	and	and	CCONJ
fcis-32208	87	28	monitoring	monitor	VERB
fcis-32208	87	29	potential	potential	ADJ
fcis-32208	87	30	abnormal	abnormal	ADJ
fcis-32208	87	31	activities	activity	NOUN
fcis-32208	87	32	or	or	CCONJ
fcis-32208	87	33	security	security	NOUN
fcis-32208	87	34	vulnerabilities	vulnerability	NOUN
fcis-32208	87	35	.	.	PUNCT
fcis-32208	88	1	the	the	DET
fcis-32208	88	2	content	content	NOUN
fcis-32208	88	3	of	of	ADP
fcis-32208	88	4	log	log	NOUN
fcis-32208	88	5	events	event	NOUN
fcis-32208	88	6	contains	contain	VERB
fcis-32208	88	7	detailed	detailed	ADJ
fcis-32208	88	8	information	information	NOUN
fcis-32208	88	9	about	about	ADP
fcis-32208	88	10	the	the	DET
fcis-32208	88	11	events	event	NOUN
fcis-32208	88	12	,	,	PUNCT
fcis-32208	88	13	such	such	ADJ
fcis-32208	88	14	as	as	ADP
fcis-32208	88	15	the	the	DET
fcis-32208	88	16	specifics	specific	NOUN
fcis-32208	88	17	of	of	ADP
fcis-32208	88	18	user	user	NOUN
fcis-32208	88	19	actions	action	NOUN
fcis-32208	88	20	(	(	PUNCT
fcis-32208	88	21	e.g.	e.g.	ADV
fcis-32208	88	22	,	,	PUNCT
fcis-32208	88	23	posting	post	VERB
fcis-32208	88	24	text	text	NOUN
fcis-32208	88	25	,	,	PUNCT
fcis-32208	88	26	commenting	comment	VERB
fcis-32208	88	27	,	,	PUNCT
fcis-32208	88	28	liking	liking	NOUN
fcis-32208	88	29	)	)	PUNCT
fcis-32208	88	30	,	,	PUNCT
fcis-32208	88	31	system	system	NOUN
fcis-32208	88	32	status	status	NOUN
fcis-32208	88	33	information	information	NOUN
fcis-32208	88	34	,	,	PUNCT
fcis-32208	88	35	error	error	NOUN
fcis-32208	88	36	codes	code	NOUN
fcis-32208	88	37	,	,	PUNCT
fcis-32208	88	38	etc	etc	X
fcis-32208	88	39	.	.	X
fcis-32208	88	40	understanding	understand	VERB
fcis-32208	88	41	the	the	DET
fcis-32208	88	42	context	context	NOUN
fcis-32208	88	43	and	and	CCONJ
fcis-32208	88	44	intent	intent	NOUN
fcis-32208	88	45	of	of	ADP
fcis-32208	88	46	events	event	NOUN
fcis-32208	88	47	is	be	AUX
fcis-32208	88	48	key	key	ADJ
fcis-32208	88	49	,	,	PUNCT
fcis-32208	88	50	and	and	CCONJ
fcis-32208	88	51	analyzing	analyze	VERB
fcis-32208	88	52	these	these	DET
fcis-32208	88	53	thematic	thematic	ADJ
fcis-32208	88	54	keywords	keyword	NOUN
fcis-32208	88	55	and	and	CCONJ
fcis-32208	88	56	specific	specific	ADJ
fcis-32208	88	57	descriptions	description	NOUN
fcis-32208	88	58	of	of	ADP
fcis-32208	88	59	events	event	NOUN
fcis-32208	88	60	is	be	AUX
fcis-32208	88	61	vital	vital	ADJ
fcis-32208	88	62	for	for	ADP
fcis-32208	88	63	analyzing	analyze	VERB
fcis-32208	88	64	user	user	NOUN
fcis-32208	88	65	behavior	behavior	NOUN
fcis-32208	88	66	and	and	CCONJ
fcis-32208	88	67	abnormal	abnormal	ADJ
fcis-32208	88	68	patterns	pattern	NOUN
fcis-32208	88	69	.	.	PUNCT
fcis-32208	89	1	3.2	3.2	NUM
fcis-32208	89	2	.	.	PUNCT
fcis-32208	90	1	causality	causality	NOUN
fcis-32208	90	2	mining	mining	NOUN
fcis-32208	90	3	there	there	ADV
fcis-32208	90	4	exists	exist	VERB
fcis-32208	90	5	a	a	DET
fcis-32208	90	6	certain	certain	ADJ
fcis-32208	90	7	causal	causal	ADJ
fcis-32208	90	8	relationship	relationship	NOUN
fcis-32208	90	9	between	between	ADP
fcis-32208	90	10	events	event	NOUN
fcis-32208	90	11	,	,	PUNCT
fcis-32208	90	12	and	and	CCONJ
fcis-32208	90	13	by	by	ADP
fcis-32208	90	14	mining	mine	VERB
fcis-32208	90	15	the	the	DET
fcis-32208	90	16	causal	causal	ADJ
fcis-32208	90	17	relationships	relationship	NOUN
fcis-32208	90	18	between	between	ADP
fcis-32208	90	19	events	event	NOUN
fcis-32208	90	20	,	,	PUNCT
fcis-32208	90	21	we	we	PRON
fcis-32208	90	22	can	can	AUX
fcis-32208	90	23	identify	identify	VERB
fcis-32208	90	24	key	key	ADJ
fcis-32208	90	25	events	event	NOUN
fcis-32208	90	26	that	that	PRON
fcis-32208	90	27	have	have	VERB
fcis-32208	90	28	a	a	DET
fcis-32208	90	29	significant	significant	ADJ
fcis-32208	90	30	impact	impact	NOUN
fcis-32208	90	31	on	on	ADP
fcis-32208	90	32	the	the	DET
fcis-32208	90	33	dynamics	dynamic	NOUN
fcis-32208	90	34	of	of	ADP
fcis-32208	90	35	social	social	ADJ
fcis-32208	90	36	networks	network	NOUN
fcis-32208	90	37	,	,	PUNCT
fcis-32208	90	38	thereby	thereby	ADV
fcis-32208	90	39	enhancing	enhance	VERB
fcis-32208	90	40	the	the	DET
fcis-32208	90	41	accuracy	accuracy	NOUN
fcis-32208	90	42	of	of	ADP
fcis-32208	90	43	anomaly	anomaly	NOUN
fcis-32208	90	44	detection	detection	NOUN
fcis-32208	90	45	.	.	PUNCT
fcis-32208	91	1	therefore	therefore	ADV
fcis-32208	91	2	,	,	PUNCT
fcis-32208	91	3	we	we	PRON
fcis-32208	91	4	utilize	utilize	VERB
fcis-32208	91	5	a	a	DET
fcis-32208	91	6	method	method	NOUN
fcis-32208	91	7	based	base	VERB
fcis-32208	91	8	on	on	ADP
fcis-32208	91	9	information	information	NOUN
fcis-32208	91	10	entropy	entropy	NOUN
fcis-32208	91	11	proposed	propose	VERB
fcis-32208	91	12	in	in	ADP
fcis-32208	91	13	literature	literature	NOUN
fcis-32208	91	14	[	[	X
fcis-32208	91	15	25	25	NUM
fcis-32208	91	16	]	]	PUNCT
fcis-32208	91	17	to	to	PART
fcis-32208	91	18	measure	measure	VERB
fcis-32208	91	19	the	the	DET
fcis-32208	91	20	causal	causal	ADJ
fcis-32208	91	21	relationships	relationship	NOUN
fcis-32208	91	22	between	between	ADP
fcis-32208	91	23	log	log	NOUN
fcis-32208	91	24	events	event	NOUN
fcis-32208	91	25	.	.	PUNCT
fcis-32208	92	1	firstly	firstly	ADV
fcis-32208	92	2	,	,	PUNCT
fcis-32208	92	3	we	we	PRON
fcis-32208	92	4	encode	encode	VERB
fcis-32208	92	5	the	the	DET
fcis-32208	92	6	parsed	parse	VERB
fcis-32208	92	7	structured	structure	VERB
fcis-32208	92	8	log	log	NOUN
fcis-32208	92	9	events	event	NOUN
fcis-32208	92	10	,	,	PUNCT
fcis-32208	92	11	aiming	aim	VERB
fcis-32208	92	12	to	to	PART
fcis-32208	92	13	convert	convert	VERB
fcis-32208	92	14	each	each	DET
fcis-32208	92	15	log	log	NOUN
fcis-32208	92	16	event	event	NOUN
fcis-32208	92	17	into	into	ADP
fcis-32208	92	18	a	a	DET
fcis-32208	92	19	numerical	numerical	ADJ
fcis-32208	92	20	form	form	NOUN
fcis-32208	92	21	for	for	ADP
fcis-32208	92	22	subsequent	subsequent	ADJ
fcis-32208	92	23	data	datum	NOUN
fcis-32208	92	24	processing	processing	NOUN
fcis-32208	92	25	and	and	CCONJ
fcis-32208	92	26	analysis	analysis	NOUN
fcis-32208	92	27	.	.	PUNCT
fcis-32208	93	1	subsequently	subsequently	ADV
fcis-32208	93	2	,	,	PUNCT
fcis-32208	93	3	we	we	PRON
fcis-32208	93	4	arrange	arrange	VERB
fcis-32208	93	5	these	these	PRON
fcis-32208	93	6	encoded	encode	VERB
fcis-32208	93	7	log	log	NOUN
fcis-32208	93	8	events	event	NOUN
fcis-32208	93	9	in	in	ADP
fcis-32208	93	10	chronological	chronological	ADJ
fcis-32208	93	11	order	order	NOUN
fcis-32208	93	12	,	,	PUNCT
fcis-32208	93	13	which	which	PRON
fcis-32208	93	14	can	can	AUX
fcis-32208	93	15	reveal	reveal	VERB
fcis-32208	93	16	the	the	DET
fcis-32208	93	17	temporal	temporal	ADJ
fcis-32208	93	18	dependencies	dependency	NOUN
fcis-32208	93	19	and	and	CCONJ
fcis-32208	93	20	continuity	continuity	NOUN
fcis-32208	93	21	between	between	ADP
fcis-32208	93	22	events	event	NOUN
fcis-32208	93	23	.	.	PUNCT
fcis-32208	94	1	to	to	PART
fcis-32208	94	2	illustrate	illustrate	VERB
fcis-32208	94	3	this	this	DET
fcis-32208	94	4	process	process	NOUN
fcis-32208	94	5	more	more	ADV
fcis-32208	94	6	intuitively	intuitively	ADV
fcis-32208	94	7	,	,	PUNCT
fcis-32208	94	8	we	we	PRON
fcis-32208	94	9	provide	provide	VERB
fcis-32208	94	10	an	an	DET
fcis-32208	94	11	example	example	NOUN
fcis-32208	94	12	of	of	ADP
fcis-32208	94	13	a	a	DET
fcis-32208	94	14	log	log	NOUN
fcis-32208	94	15	event	event	NOUN
fcis-32208	94	16	sequence	sequence	NOUN
fcis-32208	94	17	arranged	arrange	VERB
fcis-32208	94	18	in	in	ADP
fcis-32208	94	19	chronological	chronological	ADJ
fcis-32208	94	20	order	order	NOUN
fcis-32208	94	21	in	in	ADP
fcis-32208	94	22	table	table	NOUN
fcis-32208	94	23	1	1	NUM
fcis-32208	94	24	.	.	PUNCT
fcis-32208	95	1	in	in	ADP
fcis-32208	95	2	the	the	DET
fcis-32208	95	3	table	table	NOUN
fcis-32208	95	4	,	,	PUNCT
fcis-32208	95	5	the	the	DET
fcis-32208	95	6	encoding	encoding	NOUN
fcis-32208	95	7	of	of	ADP
fcis-32208	95	8	each	each	DET
fcis-32208	95	9	log	log	NOUN
fcis-32208	95	10	event	event	NOUN
fcis-32208	95	11	is	be	AUX
fcis-32208	95	12	listed	list	VERB
fcis-32208	95	13	in	in	ADP
fcis-32208	95	14	the	the	DET
fcis-32208	95	15	last	last	ADJ
fcis-32208	95	16	column	column	NOUN
fcis-32208	95	17	.	.	PUNCT
fcis-32208	96	1	for	for	ADP
fcis-32208	96	2	instance	instance	NOUN
fcis-32208	96	3	,	,	PUNCT
fcis-32208	96	4	if	if	SCONJ
fcis-32208	96	5	the	the	DET
fcis-32208	96	6	event	event	NOUN
fcis-32208	96	7	content	content	NOUN
fcis-32208	96	8	of	of	ADP
fcis-32208	96	9	a	a	DET
fcis-32208	96	10	log	log	NOUN
fcis-32208	96	11	is	be	AUX
fcis-32208	96	12	"	"	PUNCT
fcis-32208	96	13	userbehavior	userbehavior	ADJ
fcis-32208	96	14	*	*	PUNCT
fcis-32208	96	15	"	"	PUNCT
fcis-32208	96	16	,	,	PUNCT
fcis-32208	96	17	its	its	PRON
fcis-32208	96	18	corresponding	correspond	VERB
fcis-32208	96	19	encoding	encoding	NOUN
fcis-32208	96	20	is	be	AUX
fcis-32208	96	21	;	;	PUNCT
fcis-32208	96	22	if	if	SCONJ
fcis-32208	96	23	another	another	DET
fcis-32208	96	24	log	log	NOUN
fcis-32208	96	25	's	's	PART
fcis-32208	96	26	event	event	NOUN
fcis-32208	96	27	content	content	NOUN
fcis-32208	96	28	is	be	AUX
fcis-32208	96	29	"	"	PUNCT
fcis-32208	96	30	info	info	NOUN
fcis-32208	96	31	"	"	PUNCT
fcis-32208	96	32	,	,	PUNCT
fcis-32208	96	33	then	then	ADV
fcis-32208	96	34	its	its	PRON
fcis-32208	96	35	encoding	encoding	NOUN
fcis-32208	96	36	is	be	AUX
fcis-32208	96	37	*	*	ADJ
fcis-32208	96	38	,	,	PUNCT
fcis-32208	96	39	and	and	CCONJ
fcis-32208	96	40	so	so	ADV
fcis-32208	96	41	forth	forth	ADV
fcis-32208	96	42	.	.	PUNCT
fcis-32208	97	1	such	such	ADJ
fcis-32208	97	2	encoding	encode	VERB
fcis-32208	97	3	not	not	PART
fcis-32208	97	4	only	only	ADV
fcis-32208	97	5	reflects	reflect	VERB
fcis-32208	97	6	the	the	DET
fcis-32208	97	7	uniqueness	uniqueness	NOUN
fcis-32208	97	8	of	of	ADP
fcis-32208	97	9	each	each	DET
fcis-32208	97	10	log	log	NOUN
fcis-32208	97	11	event	event	NOUN
fcis-32208	97	12	but	but	CCONJ
fcis-32208	97	13	also	also	ADV
fcis-32208	97	14	provides	provide	VERB
fcis-32208	97	15	a	a	DET
fcis-32208	97	16	simple	simple	ADJ
fcis-32208	97	17	and	and	CCONJ
fcis-32208	97	18	effective	effective	ADJ
fcis-32208	97	19	way	way	NOUN
fcis-32208	97	20	for	for	SCONJ
fcis-32208	97	21	us	we	PRON
fcis-32208	97	22	to	to	PART
fcis-32208	97	23	track	track	VERB
fcis-32208	97	24	and	and	CCONJ
fcis-32208	97	25	compare	compare	VERB
fcis-32208	97	26	different	different	ADJ
fcis-32208	97	27	log	log	NOUN
fcis-32208	97	28	events	event	NOUN
fcis-32208	97	29	.	.	PUNCT
fcis-32208	98	1	through	through	ADP
fcis-32208	98	2	this	this	DET
fcis-32208	98	3	encoding	encoding	NOUN
fcis-32208	98	4	and	and	CCONJ
fcis-32208	98	5	time	time	NOUN
fcis-32208	98	6	-	-	PUNCT
fcis-32208	98	7	series	series	NOUN
fcis-32208	98	8	processing	processing	NOUN
fcis-32208	98	9	,	,	PUNCT
fcis-32208	98	10	we	we	PRON
fcis-32208	98	11	transform	transform	VERB
fcis-32208	98	12	the	the	DET
fcis-32208	98	13	originally	originally	ADV
fcis-32208	98	14	chaotic	chaotic	ADJ
fcis-32208	98	15	and	and	CCONJ
fcis-32208	98	16	unordered	unordered	ADJ
fcis-32208	98	17	logs	log	NOUN
fcis-32208	98	18	into	into	ADP
fcis-32208	98	19	ordered	order	VERB
fcis-32208	98	20	and	and	CCONJ
fcis-32208	98	21	analyzable	analyzable	ADJ
fcis-32208	98	22	information	information	NOUN
fcis-32208	98	23	,	,	PUNCT
fcis-32208	98	24	laying	lay	VERB
fcis-32208	98	25	the	the	DET
fcis-32208	98	26	foundation	foundation	NOUN
fcis-32208	98	27	for	for	SCONJ
fcis-32208	98	28	us	we	PRON
fcis-32208	98	29	to	to	PART
fcis-32208	98	30	explore	explore	VERB
fcis-32208	98	31	the	the	DET
fcis-32208	98	32	causal	causal	ADJ
fcis-32208	98	33	relationships	relationship	NOUN
fcis-32208	98	34	between	between	ADP
fcis-32208	98	35	log	log	NOUN
fcis-32208	98	36	events	event	NOUN
fcis-32208	98	37	subsequently	subsequently	ADV
fcis-32208	98	38	.	.	PUNCT
fcis-32208	99	1	table	table	NOUN
fcis-32208	99	2	1	1	NUM
fcis-32208	99	3	.	.	PUNCT
fcis-32208	100	1	examples	example	NOUN
fcis-32208	100	2	of	of	ADP
fcis-32208	100	3	log	log	NOUN
fcis-32208	100	4	events	event	NOUN
fcis-32208	100	5	code	code	PROPN
fcis-32208	100	6	t	t	PROPN
fcis-32208	100	7	ip	ip	NOUN
fcis-32208	100	8	event	event	NOUN
fcis-32208	100	9	con	con	PROPN
fcis-32208	100	10	1e	1e	PROPN
fcis-32208	100	11	0rz13654	0rz13654	PROPN
fcis-32208	101	1	168.201.50.26	168.201.50.26	NUM
fcis-32208	101	2	userbehavior	userbehavior	NOUN
fcis-32208	101	3	*	*	PROPN
fcis-32208	101	4	2e	2e	NOUN
fcis-32208	101	5	0rz13e52	0rz13e52	NUM
fcis-32208	101	6	168.201.59.12	168.201.59.12	NUM
fcis-32208	101	7	info	info	NOUN
fcis-32208	101	8	*	*	PUNCT
fcis-32208	101	9	3e	3e	NOUN
fcis-32208	101	10	0rz14659	0rz14659	NUM
fcis-32208	101	11	168.201.59.20	168.201.59.20	NUM
fcis-32208	101	12	topics	topic	NOUN
fcis-32208	101	13	to	to	PART
fcis-32208	101	14	explore	explore	VERB
fcis-32208	101	15	the	the	DET
fcis-32208	101	16	causal	causal	ADJ
fcis-32208	101	17	relationship	relationship	NOUN
fcis-32208	101	18	between	between	ADP
fcis-32208	101	19	two	two	NUM
fcis-32208	101	20	events	event	NOUN
fcis-32208	101	21	,	,	PUNCT
fcis-32208	101	22	also	also	ADV
fcis-32208	101	23	known	know	VERB
fcis-32208	101	24	as	as	ADP
fcis-32208	101	25	a	a	DET
fcis-32208	101	26	causal	causal	NOUN
fcis-32208	101	27	template	template	NOUN
fcis-32208	101	28	,	,	PUNCT
fcis-32208	101	29	we	we	PRON
fcis-32208	101	30	define	define	VERB
fcis-32208	101	31	a	a	DET
fcis-32208	101	32	binary	binary	ADJ
fcis-32208	101	33			NOUN
fcis-32208	101	34	1	1	NOUN
fcis-32208	101	35	2,e	2,e	PROPN
fcis-32208	101	36	e	e	X
fcis-32208	101	37	.	.	PUNCT
fcis-32208	102	1	this	this	DET
fcis-32208	102	2	binary	binary	NOUN
fcis-32208	102	3	represents	represent	VERB
fcis-32208	102	4	a	a	DET
fcis-32208	102	5	causal	causal	ADJ
fcis-32208	102	6	relationship	relationship	NOUN
fcis-32208	102	7	between	between	ADP
fcis-32208	102	8	event	event	NOUN
fcis-32208	102	9	1e	1e	NOUN
fcis-32208	102	10	and	and	CCONJ
fcis-32208	102	11	event	event	NOUN
fcis-32208	102	12	2e	2e	NOUN
fcis-32208	102	13	,	,	PUNCT
fcis-32208	102	14	where	where	SCONJ
fcis-32208	102	15	event	event	NOUN
fcis-32208	102	16	1e	1e	NOUN
fcis-32208	102	17	is	be	AUX
fcis-32208	102	18	the	the	DET
fcis-32208	102	19	cause	cause	NOUN
fcis-32208	102	20	of	of	ADP
fcis-32208	102	21	event	event	NOUN
fcis-32208	102	22	2e	2e	NOUN
fcis-32208	102	23	and	and	CCONJ
fcis-32208	102	24	event	event	NOUN
fcis-32208	102	25	2e	2e	NOUN
fcis-32208	102	26	is	be	AUX
fcis-32208	102	27	the	the	DET
fcis-32208	102	28	result	result	NOUN
fcis-32208	102	29	of	of	ADP
fcis-32208	102	30	event	event	NOUN
fcis-32208	102	31	1e	1e	NOUN
fcis-32208	102	32	.	.	PUNCT
fcis-32208	103	1	among	among	ADP
fcis-32208	103	2	them	they	PRON
fcis-32208	103	3	,	,	PUNCT
fcis-32208	103	4	1e	1e	PROPN
fcis-32208	103	5	and	and	CCONJ
fcis-32208	103	6	2e	2e	PROPN
fcis-32208	103	7	are	be	AUX
fcis-32208	103	8	event	event	NOUN
fcis-32208	103	9	identification	identification	NOUN
fcis-32208	103	10	codes	code	NOUN
fcis-32208	103	11	,	,	PUNCT
fcis-32208	103	12	1,2,3,	1,2,3,	NUM
fcis-32208	103	13	...	...	PUNCT
fcis-32208	104	1	i	i	PRON
fcis-32208	104	2	n	n	NOUN
fcis-32208	104	3	,	,	PUNCT
fcis-32208	104	4	1,2,3,	1,2,3,	NUM
fcis-32208	104	5	...	...	PUNCT
fcis-32208	104	6	j	j	PROPN
fcis-32208	104	7	n	n	PROPN
fcis-32208	104	8	,	,	PUNCT
fcis-32208	104	9	and	and	CCONJ
fcis-32208	104	10	n	n	PRON
fcis-32208	104	11	is	be	AUX
fcis-32208	104	12	the	the	DET
fcis-32208	104	13	total	total	ADJ
fcis-32208	104	14	number	number	NOUN
fcis-32208	104	15	of	of	ADP
fcis-32208	104	16	events	event	NOUN
fcis-32208	104	17	.	.	PUNCT
fcis-32208	105	1	generally	generally	ADV
fcis-32208	105	2	speaking	speak	VERB
fcis-32208	105	3	,	,	PUNCT
fcis-32208	105	4	two	two	NUM
fcis-32208	105	5	events	event	NOUN
fcis-32208	105	6	with	with	ADP
fcis-32208	105	7	a	a	DET
fcis-32208	105	8	causal	causal	ADJ
fcis-32208	105	9	relationship	relationship	NOUN
fcis-32208	105	10	will	will	AUX
fcis-32208	105	11	occur	occur	VERB
fcis-32208	105	12	within	within	ADP
fcis-32208	105	13	a	a	DET
fcis-32208	105	14	certain	certain	ADJ
fcis-32208	105	15	time	time	NOUN
fcis-32208	105	16	range	range	NOUN
fcis-32208	105	17	,	,	PUNCT
fcis-32208	105	18	and	and	CCONJ
fcis-32208	105	19	the	the	PRON
fcis-32208	105	20	closer	close	ADJ
fcis-32208	105	21	the	the	DET
fcis-32208	105	22	two	two	NUM
fcis-32208	105	23	events	event	NOUN
fcis-32208	105	24	are	be	AUX
fcis-32208	105	25	in	in	ADP
fcis-32208	105	26	time	time	NOUN
fcis-32208	105	27	,	,	PUNCT
fcis-32208	105	28	the	the	PRON
fcis-32208	105	29	more	more	ADV
fcis-32208	105	30	likely	likely	ADJ
fcis-32208	105	31	they	they	PRON
fcis-32208	105	32	are	be	AUX
fcis-32208	105	33	to	to	PART
fcis-32208	105	34	have	have	VERB
fcis-32208	105	35	a	a	DET
fcis-32208	105	36	causal	causal	ADJ
fcis-32208	105	37	relationship	relationship	NOUN
fcis-32208	105	38	.	.	PUNCT
fcis-32208	106	1	this	this	PRON
fcis-32208	106	2	also	also	ADV
fcis-32208	106	3	means	mean	VERB
fcis-32208	106	4	that	that	SCONJ
fcis-32208	106	5	when	when	SCONJ
fcis-32208	106	6	the	the	DET
fcis-32208	106	7	time	time	NOUN
fcis-32208	106	8	interval	interval	NOUN
fcis-32208	106	9	between	between	ADP
fcis-32208	106	10	two	two	NUM
fcis-32208	106	11	events	event	NOUN
fcis-32208	106	12	is	be	AUX
fcis-32208	106	13	too	too	ADV
fcis-32208	106	14	far	far	ADV
fcis-32208	106	15	apart	apart	ADV
fcis-32208	106	16	,	,	PUNCT
fcis-32208	106	17	it	it	PRON
fcis-32208	106	18	is	be	AUX
fcis-32208	106	19	unlikely	unlikely	ADJ
fcis-32208	106	20	that	that	SCONJ
fcis-32208	106	21	there	there	PRON
fcis-32208	106	22	is	be	VERB
fcis-32208	106	23	a	a	DET
fcis-32208	106	24	strong	strong	ADJ
fcis-32208	106	25	causal	causal	ADJ
fcis-32208	106	26	relationship	relationship	NOUN
fcis-32208	106	27	between	between	ADP
fcis-32208	106	28	the	the	DET
fcis-32208	106	29	two	two	NUM
fcis-32208	106	30	.	.	PUNCT
fcis-32208	107	1	therefore	therefore	ADV
fcis-32208	107	2	,	,	PUNCT
fcis-32208	107	3	we	we	PRON
fcis-32208	107	4	have	have	AUX
fcis-32208	107	5	chosen	choose	VERB
fcis-32208	107	6	a	a	DET
fcis-32208	107	7	sliding	sliding	ADJ
fcis-32208	107	8	time	time	NOUN
fcis-32208	107	9	window	window	NOUN
fcis-32208	107	10	length	length	NOUN
fcis-32208	107	11	of	of	ADP
fcis-32208	107	12	l	l	NOUN
fcis-32208	107	13	,	,	PUNCT
fcis-32208	107	14	l	l	PROPN
fcis-32208	107	15	o	o	PROPN
fcis-32208	107	16	,	,	PUNCT
fcis-32208	107	17	0o	0o	ADJ
fcis-32208	107	18	.	.	PUNCT
fcis-32208	108	1	in	in	ADP
fcis-32208	108	2	order	order	NOUN
fcis-32208	108	3	to	to	PART
fcis-32208	108	4	more	more	ADV
fcis-32208	108	5	accurately	accurately	ADV
fcis-32208	108	6	explore	explore	VERB
fcis-32208	108	7	the	the	DET
fcis-32208	108	8	causal	causal	ADJ
fcis-32208	108	9	relationship	relationship	NOUN
fcis-32208	108	10	between	between	ADP
fcis-32208	108	11	events	event	NOUN
fcis-32208	108	12	,	,	PUNCT
fcis-32208	108	13	we	we	PRON
fcis-32208	108	14	set	set	VERB
fcis-32208	108	15	the	the	DET
fcis-32208	108	16	sliding	slide	VERB
fcis-32208	108	17	window	window	NOUN
fcis-32208	108	18	length	length	NOUN
fcis-32208	108	19	to	to	ADP
fcis-32208	108	20	5	5	NUM
fcis-32208	108	21	,	,	PUNCT
fcis-32208	108	22	associate	associate	VERB
fcis-32208	108	23	each	each	DET
fcis-32208	108	24	current	current	ADJ
fcis-32208	108	25	event	event	NOUN
fcis-32208	108	26	in	in	ADP
fcis-32208	108	27	the	the	DET
fcis-32208	108	28	5	5	NUM
fcis-32208	108	29	-	-	PUNCT
fcis-32208	108	30	length	length	NOUN
fcis-32208	108	31	window	window	NOUN
fcis-32208	108	32	log	log	NOUN
fcis-32208	108	33	event	event	NOUN
fcis-32208	108	34	with	with	ADP
fcis-32208	108	35	subsequent	subsequent	ADJ
fcis-32208	108	36	events	event	NOUN
fcis-32208	108	37	,	,	PUNCT
fcis-32208	108	38	calculate	calculate	VERB
fcis-32208	108	39	their	their	PRON
fcis-32208	108	40	transition	transition	NOUN
fcis-32208	108	41	entropy	entropy	NOUN
fcis-32208	108	42	,	,	PUNCT
fcis-32208	108	43	and	and	CCONJ
fcis-32208	108	44	determine	determine	VERB
fcis-32208	108	45	whether	whether	SCONJ
fcis-32208	108	46	event	event	NOUN
fcis-32208	108	47	1e	1e	NOUN
fcis-32208	108	48	and	and	CCONJ
fcis-32208	108	49	event	event	NOUN
fcis-32208	108	50	2e	2e	PROPN
fcis-32208	108	51	have	have	VERB
fcis-32208	108	52	a	a	DET
fcis-32208	108	53	causal	causal	ADJ
fcis-32208	108	54	relationship	relationship	NOUN
fcis-32208	108	55	.	.	PUNCT
fcis-32208	109	1	to	to	PART
fcis-32208	109	2	distinguish	distinguish	VERB
fcis-32208	109	3	direct	direct	ADJ
fcis-32208	109	4	causal	causal	ADJ
fcis-32208	109	5	relationships	relationship	NOUN
fcis-32208	109	6	between	between	ADP
fcis-32208	109	7	events	event	NOUN
fcis-32208	109	8	and	and	CCONJ
fcis-32208	109	9	exclude	exclude	VERB
fcis-32208	109	10	indirect	indirect	ADJ
fcis-32208	109	11	causal	causal	ADJ
fcis-32208	109	12	relationships	relationship	NOUN
fcis-32208	109	13	that	that	PRON
fcis-32208	109	14	are	be	AUX
fcis-32208	109	15	difficult	difficult	ADJ
fcis-32208	109	16	to	to	PART
fcis-32208	109	17	track	track	VERB
fcis-32208	109	18	and	and	CCONJ
fcis-32208	109	19	analyze	analyze	VERB
fcis-32208	109	20	due	due	ADJ
fcis-32208	109	21	to	to	ADP
fcis-32208	109	22	multiple	multiple	ADJ
fcis-32208	109	23	confounding	confound	VERB
fcis-32208	109	24	variables	variable	NOUN
fcis-32208	109	25	,	,	PUNCT
fcis-32208	109	26	we	we	PRON
fcis-32208	109	27	propose	propose	VERB
fcis-32208	109	28	an	an	DET
fcis-32208	109	29	improved	improved	ADJ
fcis-32208	109	30	method	method	NOUN
fcis-32208	109	31	for	for	ADP
fcis-32208	109	32	measuring	measure	VERB
fcis-32208	109	33	causal	causal	ADJ
fcis-32208	109	34	strength	strength	NOUN
fcis-32208	109	35	called	call	VERB
fcis-32208	109	36	"	"	PUNCT
fcis-32208	109	37	standardized	standardized	ADJ
fcis-32208	109	38	causal	causal	NOUN
fcis-32208	109	39	entropy	entropy	NOUN
fcis-32208	109	40	,	,	PUNCT
fcis-32208	109	41	"	"	PUNCT
fcis-32208	109	42	defined	define	VERB
fcis-32208	109	43	as	as	SCONJ
fcis-32208	109	44	follows	follow	VERB
fcis-32208	109	45	:	:	PUNCT
fcis-32208	109	46			NOUN
fcis-32208	109	47			SYM
fcis-32208	109	48			NOUN
fcis-32208	109	49			PROPN
fcis-32208	109	50	1	1	NUM
fcis-32208	109	51	:	:	SYM
fcis-32208	109	52	1	1	NUM
fcis-32208	109	53	:	:	PUNCT
fcis-32208	110	1	|	|	ADV
fcis-32208	110	2	;	;	PUNCT
fcis-32208	110	3	|	|	ADV
fcis-32208	110	4	.	.	PUNCT
fcis-32208	111	1	t	t	PROPN
fcis-32208	111	2	t	t	PROPN
fcis-32208	111	3	t	t	PROPN
fcis-32208	111	4	l	l	PROPN
fcis-32208	111	5	t	t	PROPN
fcis-32208	111	6	t	t	PROPN
fcis-32208	112	1	l	l	NOUN
fcis-32208	113	1	i	i	PRON
fcis-32208	113	2	j	j	PROPN
fcis-32208	113	3	n	n	CCONJ
fcis-32208	113	4	j	j	PROPN
fcis-32208	114	1	i	i	PRON
fcis-32208	114	2	n	n	VERB
fcis-32208	114	3	t	t	NOUN
fcis-32208	115	1	i	i	PRON
fcis-32208	115	2	i	i	INTJ
fcis-32208	115	3	x	x	VERB
fcis-32208	116	1	x	x	PUNCT
fcis-32208	116	2	x	x	SYM
fcis-32208	116	3	sc	sc	PROPN
fcis-32208	116	4	h	h	NOUN
fcis-32208	116	5	x	x	PUNCT
fcis-32208	116	6			PROPN
fcis-32208	116	7			PROPN
fcis-32208	116	8			PROPN
fcis-32208	116	9			NOUN
fcis-32208	116	10			NOUN
fcis-32208	116	11			NUM
fcis-32208	116	12	(	(	PUNCT
fcis-32208	116	13	2	2	NUM
fcis-32208	116	14	)	)	PUNCT
fcis-32208	116	15	among	among	ADP
fcis-32208	116	16	them	they	PRON
fcis-32208	116	17	,	,	PUNCT
fcis-32208	116	18	under	under	ADP
fcis-32208	116	19	condition	condition	NOUN
fcis-32208	116	20	n	n	NOUN
fcis-32208	116	21	,	,	PUNCT
fcis-32208	116	22	the	the	DET
fcis-32208	116	23	standardized	standardized	ADJ
fcis-32208	116	24	causal	causal	ADJ
fcis-32208	116	25	entropy	entropy	NOUN
fcis-32208	116	26	of	of	ADP
fcis-32208	116	27	node	node	PROPN
fcis-32208	116	28	set	set	VERB
fcis-32208	116	29	j	j	PROPN
fcis-32208	116	30	for	for	ADP
fcis-32208	116	31	node	node	PROPN
fcis-32208	116	32	i	i	PRON
fcis-32208	116	33	.	.	PUNCT
fcis-32208	117	1	among	among	ADP
fcis-32208	117	2	them	they	PRON
fcis-32208	117	3	,	,	PUNCT
fcis-32208	117	4	t	t	PROPN
fcis-32208	117	5	ix	ix	PROPN
fcis-32208	117	6	11	11	NUM
fcis-32208	117	7	represents	represent	VERB
fcis-32208	117	8	the	the	DET
fcis-32208	117	9	value	value	NOUN
fcis-32208	117	10	of	of	ADP
fcis-32208	117	11	node	node	NOUN
fcis-32208	117	12	i	i	PRON
fcis-32208	117	13	at	at	ADP
fcis-32208	117	14	time	time	NOUN
fcis-32208	117	15	t	t	PROPN
fcis-32208	117	16	,	,	PUNCT
fcis-32208	117	17	while	while	SCONJ
fcis-32208	117	18	1	1	NUM
fcis-32208	117	19	:	:	PUNCT
fcis-32208	117	20	t	t	PROPN
fcis-32208	117	21	t	t	PROPN
fcis-32208	117	22	l	l	PROPN
fcis-32208	117	23	jx	jx	PROPN
fcis-32208	117	24			PROPN
fcis-32208	117	25			PROPN
fcis-32208	117	26	and	and	CCONJ
fcis-32208	117	27	1	1	NUM
fcis-32208	117	28	:	:	PUNCT
fcis-32208	117	29	t	t	PROPN
fcis-32208	117	30	t	t	PROPN
fcis-32208	117	31	l	l	NOUN
fcis-32208	117	32	nx	nx	PROPN
fcis-32208	117	33			PROPN
fcis-32208	117	34			PROPN
fcis-32208	117	35	respectively	respectively	ADV
fcis-32208	117	36	represent	represent	VERB
fcis-32208	117	37	the	the	DET
fcis-32208	117	38	values	value	NOUN
fcis-32208	117	39	of	of	ADP
fcis-32208	117	40	node	node	NOUN
fcis-32208	117	41	set	set	VERB
fcis-32208	117	42	j	j	PROPN
fcis-32208	117	43	and	and	CCONJ
fcis-32208	117	44	condition	condition	NOUN
fcis-32208	117	45	set	set	VERB
fcis-32208	117	46	n	n	CCONJ
fcis-32208	117	47	within	within	ADP
fcis-32208	117	48	the	the	DET
fcis-32208	117	49	first	first	ADJ
fcis-32208	117	50	1	1	NUM
fcis-32208	117	51	time	time	NOUN
fcis-32208	117	52	t	t	NOUN
fcis-32208	117	53	.	.	PUNCT
fcis-32208	118	1	the	the	DET
fcis-32208	118	2	causal	causal	ADJ
fcis-32208	118	3	strength	strength	NOUN
fcis-32208	118	4	is	be	AUX
fcis-32208	118	5	determined	determine	VERB
fcis-32208	118	6	by	by	ADP
fcis-32208	118	7	the	the	DET
fcis-32208	118	8	amount	amount	NOUN
fcis-32208	118	9	of	of	ADP
fcis-32208	118	10	information	information	NOUN
fcis-32208	118	11	transmitted	transmit	VERB
fcis-32208	118	12	between	between	ADP
fcis-32208	118	13	nodes	node	NOUN
fcis-32208	118	14	,	,	PUNCT
fcis-32208	118	15	and	and	CCONJ
fcis-32208	118	16	two	two	NUM
fcis-32208	118	17	types	type	NOUN
fcis-32208	118	18	of	of	ADP
fcis-32208	118	19	information	information	NOUN
fcis-32208	118	20	transmission	transmission	NOUN
fcis-32208	118	21	are	be	AUX
fcis-32208	118	22	distinguished	distinguish	VERB
fcis-32208	118	23	here	here	ADV
fcis-32208	118	24	:	:	PUNCT
fcis-32208	118	25	direct	direct	ADJ
fcis-32208	118	26	causal	causal	NOUN
fcis-32208	118	27	relationship	relationship	NOUN
fcis-32208	118	28	1	1	NUM
fcis-32208	118	29	2	2	NUM
fcis-32208	118	30	3	3	NUM
fcis-32208	118	31	(	(	PUNCT
fcis-32208	118	32	)	)	PUNCT
fcis-32208	118	33	e	e	NOUN
fcis-32208	118	34	e	e	NOUN
fcis-32208	118	35	e	e	PRON
fcis-32208	118	36			NOUN
fcis-32208	118	37	and	and	CCONJ
fcis-32208	118	38	indirect	indirect	ADJ
fcis-32208	118	39	causal	causal	ADJ
fcis-32208	118	40	relationship	relationship	NOUN
fcis-32208	118	41	1	1	NUM
fcis-32208	118	42	3	3	NUM
fcis-32208	118	43	(	(	PUNCT
fcis-32208	118	44	)	)	PUNCT
fcis-32208	118	45	e	e	NOUN
fcis-32208	118	46	e	e	PROPN
fcis-32208	118	47	.	.	PUNCT
fcis-32208	119	1	in	in	ADP
fcis-32208	119	2	the	the	DET
fcis-32208	119	3	analysis	analysis	NOUN
fcis-32208	119	4	of	of	ADP
fcis-32208	119	5	causal	causal	ADJ
fcis-32208	119	6	relationships	relationship	NOUN
fcis-32208	119	7	,	,	PUNCT
fcis-32208	119	8	the	the	DET
fcis-32208	119	9	true	true	ADJ
fcis-32208	119	10	strength	strength	NOUN
fcis-32208	119	11	of	of	ADP
fcis-32208	119	12	causality	causality	NOUN
fcis-32208	119	13	is	be	AUX
fcis-32208	119	14	mainly	mainly	ADV
fcis-32208	119	15	determined	determine	VERB
fcis-32208	119	16	by	by	ADP
fcis-32208	119	17	direct	direct	ADJ
fcis-32208	119	18	causal	causal	ADJ
fcis-32208	119	19	relationships	relationship	NOUN
fcis-32208	119	20	.	.	PUNCT
fcis-32208	120	1	this	this	PRON
fcis-32208	120	2	also	also	ADV
fcis-32208	120	3	means	mean	VERB
fcis-32208	120	4	that	that	SCONJ
fcis-32208	120	5	for	for	ADP
fcis-32208	120	6	any	any	DET
fcis-32208	120	7	two	two	NUM
fcis-32208	120	8	events	event	NOUN
fcis-32208	120	9	,	,	PUNCT
fcis-32208	120	10	the	the	DET
fcis-32208	120	11	strength	strength	NOUN
fcis-32208	120	12	of	of	ADP
fcis-32208	120	13	their	their	PRON
fcis-32208	120	14	causal	causal	ADJ
fcis-32208	120	15	relationship	relationship	NOUN
fcis-32208	120	16	should	should	AUX
fcis-32208	120	17	be	be	AUX
fcis-32208	120	18	determined	determine	VERB
fcis-32208	120	19	based	base	VERB
fcis-32208	120	20	on	on	ADP
fcis-32208	120	21	the	the	DET
fcis-32208	120	22	direct	direct	ADJ
fcis-32208	120	23	amount	amount	NOUN
fcis-32208	120	24	of	of	ADP
fcis-32208	120	25	information	information	NOUN
fcis-32208	120	26	transmitted	transmit	VERB
fcis-32208	120	27	between	between	ADP
fcis-32208	120	28	them	they	PRON
fcis-32208	120	29	,	,	PUNCT
fcis-32208	120	30	rather	rather	ADV
fcis-32208	120	31	than	than	ADP
fcis-32208	120	32	those	those	PRON
fcis-32208	120	33	indirectly	indirectly	ADV
fcis-32208	120	34	transmitted	transmit	VERB
fcis-32208	120	35	through	through	ADP
fcis-32208	120	36	other	other	ADJ
fcis-32208	120	37	nodes	node	NOUN
fcis-32208	120	38	or	or	CCONJ
fcis-32208	120	39	events	event	NOUN
fcis-32208	120	40	.	.	PUNCT
fcis-32208	121	1	this	this	DET
fcis-32208	121	2	distinction	distinction	NOUN
fcis-32208	121	3	helps	help	VERB
fcis-32208	121	4	to	to	PART
fcis-32208	121	5	more	more	ADV
fcis-32208	121	6	accurately	accurately	ADV
fcis-32208	121	7	identify	identify	VERB
fcis-32208	121	8	and	and	CCONJ
fcis-32208	121	9	understand	understand	VERB
fcis-32208	121	10	the	the	DET
fcis-32208	121	11	actual	actual	ADJ
fcis-32208	121	12	correlations	correlation	NOUN
fcis-32208	121	13	between	between	ADP
fcis-32208	121	14	events	event	NOUN
fcis-32208	121	15	,	,	PUNCT
fcis-32208	121	16	providing	provide	VERB
fcis-32208	121	17	more	more	ADV
fcis-32208	121	18	precise	precise	ADJ
fcis-32208	121	19	insights	insight	NOUN
fcis-32208	121	20	for	for	ADP
fcis-32208	121	21	data	datum	NOUN
fcis-32208	121	22	analysis	analysis	NOUN
fcis-32208	121	23	.	.	PUNCT
fcis-32208	122	1	fig	fig	NOUN
fcis-32208	122	2	2	2	NUM
fcis-32208	122	3	.	.	PUNCT
fcis-32208	122	4	standardized	standardize	VERB
fcis-32208	122	5	causal	causal	PROPN
fcis-32208	122	6	entropy	entropy	NOUN
fcis-32208	122	7	between	between	ADP
fcis-32208	122	8	partial	partial	ADJ
fcis-32208	122	9	events	event	NOUN
fcis-32208	122	10	.	.	PUNCT
fcis-32208	123	1	therefore	therefore	ADV
fcis-32208	123	2	,	,	PUNCT
fcis-32208	123	3	we	we	PRON
fcis-32208	123	4	measure	measure	VERB
fcis-32208	123	5	the	the	DET
fcis-32208	123	6	direct	direct	ADJ
fcis-32208	123	7	causal	causal	NOUN
fcis-32208	123	8	relationship	relationship	NOUN
fcis-32208	123	9	between	between	ADP
fcis-32208	123	10	events	event	NOUN
fcis-32208	123	11	by	by	ADP
fcis-32208	123	12	standardizing	standardize	VERB
fcis-32208	123	13	causal	causal	ADJ
fcis-32208	123	14	entropy	entropy	NOUN
fcis-32208	123	15	.	.	PUNCT
fcis-32208	124	1	compared	compare	VERB
fcis-32208	124	2	to	to	PART
fcis-32208	124	3	transfer	transfer	VERB
fcis-32208	124	4	entropy	entropy	NOUN
fcis-32208	124	5	,	,	PUNCT
fcis-32208	124	6	it	it	PRON
fcis-32208	124	7	incorporates	incorporate	VERB
fcis-32208	124	8	more	more	ADJ
fcis-32208	124	9	nodes	node	NOUN
fcis-32208	124	10	to	to	PART
fcis-32208	124	11	form	form	VERB
fcis-32208	124	12	a	a	DET
fcis-32208	124	13	condition	condition	NOUN
fcis-32208	124	14	set	set	NOUN
fcis-32208	124	15	,	,	PUNCT
fcis-32208	124	16	effectively	effectively	ADV
fcis-32208	124	17	eliminating	eliminate	VERB
fcis-32208	124	18	indirect	indirect	ADJ
fcis-32208	124	19	effects	effect	NOUN
fcis-32208	124	20	.	.	PUNCT
fcis-32208	125	1	as	as	SCONJ
fcis-32208	125	2	shown	show	VERB
fcis-32208	125	3	in	in	ADP
fcis-32208	125	4	figure	figure	NOUN
fcis-32208	125	5	2	2	NUM
fcis-32208	125	6	,	,	PUNCT
fcis-32208	125	7	measuring	measure	VERB
fcis-32208	125	8	the	the	DET
fcis-32208	125	9	causal	causal	ADJ
fcis-32208	125	10	strength	strength	NOUN
fcis-32208	125	11	between	between	ADP
fcis-32208	125	12	1e	1e	PROPN
fcis-32208	125	13	and	and	CCONJ
fcis-32208	125	14	2e	2e	NOUN
fcis-32208	125	15	,	,	PUNCT
fcis-32208	125	16	the	the	DET
fcis-32208	125	17	transfer	transfer	NOUN
fcis-32208	125	18	entropy	entropy	NOUN
fcis-32208	125	19	is	be	AUX
fcis-32208	125	20			NOUN
fcis-32208	125	21			PROPN
fcis-32208	125	22	3	3	NUM
fcis-32208	125	23	1	1	NUM
fcis-32208	125	24	3	3	NUM
fcis-32208	125	25	1	1	NUM
fcis-32208	125	26	:	:	SYM
fcis-32208	125	27	1	1	NUM
fcis-32208	125	28	:	:	PUNCT
fcis-32208	125	29	;	;	PUNCT
fcis-32208	125	30	|t	|t	PROPN
fcis-32208	126	1	t	t	PROPN
fcis-32208	126	2	t	t	PROPN
fcis-32208	126	3	l	l	PROPN
fcis-32208	126	4	t	t	PROPN
fcis-32208	126	5	t	t	PROPN
fcis-32208	126	6	l	l	NOUN
fcis-32208	126	7	e	e	X
fcis-32208	126	8	e	e	X
fcis-32208	126	9	ei	ei	X
fcis-32208	126	10	x	x	PUNCT
fcis-32208	126	11	x	x	PROPN
fcis-32208	126	12	x	x	PROPN
fcis-32208	126	13			PROPN
fcis-32208	126	14			PROPN
fcis-32208	126	15			PROPN
fcis-32208	126	16	,	,	PUNCT
fcis-32208	126	17	which	which	PRON
fcis-32208	126	18	can	can	AUX
fcis-32208	126	19	not	not	PART
fcis-32208	126	20	exclude	exclude	VERB
fcis-32208	126	21	the	the	DET
fcis-32208	126	22	indirect	indirect	ADJ
fcis-32208	126	23	influence	influence	NOUN
fcis-32208	126	24	transmitted	transmit	VERB
fcis-32208	126	25	through	through	ADP
fcis-32208	126	26	2e	2e	NOUN
fcis-32208	126	27	,	,	PUNCT
fcis-32208	126	28	leading	lead	VERB
fcis-32208	126	29	to	to	ADP
fcis-32208	126	30	redundancy	redundancy	NOUN
fcis-32208	126	31	.	.	PUNCT
fcis-32208	127	1	however	however	ADV
fcis-32208	127	2	,	,	PUNCT
fcis-32208	127	3	the	the	DET
fcis-32208	127	4	normalized	normalize	VERB
fcis-32208	127	5	standard	standard	ADJ
fcis-32208	127	6	entropy	entropy	NOUN
fcis-32208	127	7	is	be	AUX
fcis-32208	127	8			NOUN
fcis-32208	127	9			PROPN
fcis-32208	127	10	3	3	NUM
fcis-32208	127	11	1	1	NUM
fcis-32208	127	12	2	2	NUM
fcis-32208	127	13	1	1	NUM
fcis-32208	127	14	:	:	SYM
fcis-32208	127	15	1	1	NUM
fcis-32208	127	16	:	:	PUNCT
fcis-32208	127	17	;	;	PUNCT
fcis-32208	127	18	|t	|t	PROPN
fcis-32208	128	1	t	t	PROPN
fcis-32208	128	2	t	t	PROPN
fcis-32208	128	3	l	l	PROPN
fcis-32208	128	4	t	t	PROPN
fcis-32208	128	5	t	t	PROPN
fcis-32208	128	6	l	l	NOUN
fcis-32208	128	7	e	e	X
fcis-32208	128	8	e	e	X
fcis-32208	128	9	ei	ei	X
fcis-32208	128	10	x	x	PUNCT
fcis-32208	128	11	x	x	PROPN
fcis-32208	128	12	x	x	PROPN
fcis-32208	128	13			PROPN
fcis-32208	128	14			PROPN
fcis-32208	128	15			PROPN
fcis-32208	128	16	,	,	PUNCT
fcis-32208	128	17	which	which	PRON
fcis-32208	128	18	excludes	exclude	VERB
fcis-32208	128	19	the	the	DET
fcis-32208	128	20	indirect	indirect	ADJ
fcis-32208	128	21	influence	influence	NOUN
fcis-32208	128	22	by	by	ADP
fcis-32208	128	23	using	use	VERB
fcis-32208	128	24	2e	2e	PROPN
fcis-32208	128	25	as	as	SCONJ
fcis-32208	128	26	the	the	DET
fcis-32208	128	27	condition	condition	NOUN
fcis-32208	128	28	set	set	VERB
fcis-32208	128	29	.	.	PUNCT
fcis-32208	129	1	meanwhile	meanwhile	ADV
fcis-32208	129	2	,	,	PUNCT
fcis-32208	129	3	according	accord	VERB
fcis-32208	129	4	to	to	ADP
fcis-32208	129	5	the	the	DET
fcis-32208	129	6	theory	theory	NOUN
fcis-32208	129	7	of	of	ADP
fcis-32208	129	8	granger	granger	PROPN
fcis-32208	129	9	causality	causality	PROPN
fcis-32208	129	10	(	(	PUNCT
fcis-32208	129	11	the	the	DET
fcis-32208	129	12	past	past	NOUN
fcis-32208	129	13	influences	influence	VERB
fcis-32208	129	14	the	the	DET
fcis-32208	129	15	future	future	NOUN
fcis-32208	129	16	)	)	PUNCT
fcis-32208	129	17	,	,	PUNCT
fcis-32208	129	18	since	since	SCONJ
fcis-32208	129	19	1	1	NUM
fcis-32208	129	20	1	1	NUM
fcis-32208	129	21	:	:	PUNCT
fcis-32208	129	22	t	t	PROPN
fcis-32208	129	23	t	t	PROPN
fcis-32208	129	24	l	l	NOUN
fcis-32208	129	25	ex	ex	PRON
fcis-32208	129	26			PROPN
fcis-32208	129	27			PROPN
fcis-32208	129	28	occurred	occur	VERB
fcis-32208	129	29	before	before	ADP
fcis-32208	129	30	3	3	NUM
fcis-32208	129	31	t	t	NOUN
fcis-32208	129	32	ex	ex	X
fcis-32208	129	33	,	,	PUNCT
fcis-32208	129	34			PROPN
fcis-32208	129	35			PROPN
fcis-32208	129	36	3	3	NUM
fcis-32208	129	37	1	1	NUM
fcis-32208	129	38	2	2	NUM
fcis-32208	129	39	1	1	NUM
fcis-32208	129	40	:	:	SYM
fcis-32208	129	41	1	1	NUM
fcis-32208	129	42	:	:	PUNCT
fcis-32208	129	43	;	;	PUNCT
fcis-32208	129	44	|t	|t	PROPN
fcis-32208	130	1	t	t	PROPN
fcis-32208	130	2	t	t	PROPN
fcis-32208	130	3	l	l	PROPN
fcis-32208	130	4	t	t	PROPN
fcis-32208	130	5	t	t	PROPN
fcis-32208	130	6	l	l	NOUN
fcis-32208	130	7	e	e	X
fcis-32208	130	8	e	e	X
fcis-32208	130	9	ei	ei	X
fcis-32208	130	10	x	x	PUNCT
fcis-32208	130	11	x	x	PROPN
fcis-32208	130	12	x	x	PROPN
fcis-32208	130	13			PROPN
fcis-32208	130	14			PROPN
fcis-32208	130	15			PROPN
fcis-32208	130	16	must	must	AUX
fcis-32208	130	17	be	be	AUX
fcis-32208	130	18	the	the	DET
fcis-32208	130	19	information	information	NOUN
fcis-32208	130	20	flow	flow	NOUN
fcis-32208	130	21	transmitted	transmit	VERB
fcis-32208	130	22	from	from	ADP
fcis-32208	130	23	1	1	NUM
fcis-32208	130	24	1	1	NUM
fcis-32208	130	25	:	:	PUNCT
fcis-32208	130	26	t	t	PROPN
fcis-32208	130	27	t	t	PROPN
fcis-32208	130	28	l	l	NOUN
fcis-32208	130	29	ex	ex	PRON
fcis-32208	130	30			NOUN
fcis-32208	130	31			PROPN
fcis-32208	130	32	to	to	ADP
fcis-32208	130	33	3	3	NUM
fcis-32208	130	34	t	t	NOUN
fcis-32208	130	35	ex	ex	X
fcis-32208	130	36	.	.	PUNCT
fcis-32208	131	1	specifically	specifically	ADV
fcis-32208	131	2	,	,	PUNCT
fcis-32208	131	3	when	when	SCONJ
fcis-32208	131	4	2	2	NUM
fcis-32208	131	5	1=	1=	NUM
fcis-32208	131	6	{	{	PUNCT
fcis-32208	131	7	}	}	PUNCT
fcis-32208	131	8	ie	ie	X
fcis-32208	131	9	pa	pa	PROPN
fcis-32208	131	10	e	e	NOUN
fcis-32208	131	11	,	,	PUNCT
fcis-32208	131	12			PROPN
fcis-32208	131	13			PROPN
fcis-32208	131	14	3	3	NUM
fcis-32208	131	15	1	1	NUM
fcis-32208	131	16	2	2	NUM
fcis-32208	131	17	1	1	NUM
fcis-32208	131	18	:	:	SYM
fcis-32208	131	19	1	1	NUM
fcis-32208	131	20	:	:	PUNCT
fcis-32208	131	21	;	;	PUNCT
fcis-32208	131	22	|t	|t	PROPN
fcis-32208	131	23	t	t	PROPN
fcis-32208	131	24	t	t	PROPN
fcis-32208	131	25	l	l	PROPN
fcis-32208	131	26	t	t	PROPN
fcis-32208	131	27	t	t	PROPN
fcis-32208	131	28	l	l	NOUN
fcis-32208	131	29	e	e	X
fcis-32208	131	30	e	e	X
fcis-32208	131	31	ei	ei	X
fcis-32208	131	32	x	x	PUNCT
fcis-32208	131	33	x	x	PROPN
fcis-32208	131	34	x	x	PROPN
fcis-32208	131	35			PROPN
fcis-32208	131	36			PROPN
fcis-32208	131	37			PROPN
fcis-32208	131	38	represents	represent	VERB
fcis-32208	131	39	the	the	DET
fcis-32208	131	40	direct	direct	ADJ
fcis-32208	131	41	information	information	NOUN
fcis-32208	131	42	flow	flow	NOUN
fcis-32208	131	43	from	from	ADP
fcis-32208	131	44	1e	1e	PROPN
fcis-32208	131	45	to	to	ADP
fcis-32208	131	46	3e	3e	NUM
fcis-32208	131	47	,	,	PUNCT
fcis-32208	131	48	excluding	exclude	VERB
fcis-32208	131	49	all	all	DET
fcis-32208	131	50	indirect	indirect	ADJ
fcis-32208	131	51	influences	influence	NOUN
fcis-32208	131	52	.	.	PUNCT
fcis-32208	132	1	he	he	PRON
fcis-32208	132	2	normalized	normalize	VERB
fcis-32208	132	3	standard	standard	ADJ
fcis-32208	132	4	entropy	entropy	NOUN
fcis-32208	132	5	between	between	ADP
fcis-32208	132	6	1	1	NUM
fcis-32208	132	7	3e	3e	NOUN
fcis-32208	132	8	e	e	NOUN
fcis-32208	132	9	takes	take	VERB
fcis-32208	132	10	the	the	DET
fcis-32208	132	11	parent	parent	NOUN
fcis-32208	132	12	3e	3e	NOUN
fcis-32208	132	13	of	of	ADP
fcis-32208	132	14	2e	2e	PROPN
fcis-32208	132	15	as	as	ADP
fcis-32208	132	16	the	the	DET
fcis-32208	132	17	condition	condition	NOUN
fcis-32208	132	18	set	set	NOUN
fcis-32208	132	19	,	,	PUNCT
fcis-32208	132	20	excludes	exclude	VERB
fcis-32208	132	21	the	the	DET
fcis-32208	132	22	indirect	indirect	ADJ
fcis-32208	132	23	influence	influence	NOUN
fcis-32208	132	24	transmitted	transmit	VERB
fcis-32208	132	25	through	through	ADP
fcis-32208	132	26	2e	2e	NUM
fcis-32208	132	27	between	between	ADP
fcis-32208	132	28	1	1	NUM
fcis-32208	132	29	3e	3e	NUM
fcis-32208	132	30	e	e	NOUN
fcis-32208	132	31	,	,	PUNCT
fcis-32208	132	32	and	and	CCONJ
fcis-32208	132	33	measures	measure	VERB
fcis-32208	132	34	the	the	DET
fcis-32208	132	35	causal	causal	ADJ
fcis-32208	132	36	strength	strength	NOUN
fcis-32208	132	37	between	between	ADP
fcis-32208	132	38	them	they	PRON
fcis-32208	132	39	using	use	VERB
fcis-32208	132	40	normalized	normalize	VERB
fcis-32208	132	41	standard	standard	ADJ
fcis-32208	132	42	entropy	entropy	NOUN
fcis-32208	132	43	to	to	PART
fcis-32208	132	44	obtain	obtain	VERB
fcis-32208	132	45	1	1	NUM
fcis-32208	132	46	2	2	NUM
fcis-32208	132	47	1	1	NUM
fcis-32208	132	48	3	3	NUM
fcis-32208	132	49	2|e	2|e	NUM
fcis-32208	132	50	e	e	NOUN
fcis-32208	132	51	e	e	X
fcis-32208	132	52	e	e	X
fcis-32208	132	53	esc	esc	NOUN
fcis-32208	132	54	sc	sc	VERB
fcis-32208	132	55			ADJ
fcis-32208	132	56	.	.	PUNCT
fcis-32208	133	1	therefore	therefore	ADV
fcis-32208	133	2	,	,	PUNCT
fcis-32208	133	3	the	the	DET
fcis-32208	133	4	causal	causal	ADJ
fcis-32208	133	5	relationship	relationship	NOUN
fcis-32208	133	6	between	between	ADP
fcis-32208	133	7	1	1	NUM
fcis-32208	133	8	3e	3e	NOUN
fcis-32208	133	9	e	e	PROPN
fcis-32208	133	10	is	be	AUX
fcis-32208	133	11	excluded	exclude	VERB
fcis-32208	133	12	.	.	PUNCT
fcis-32208	134	1	it	it	PRON
fcis-32208	134	2	can	can	AUX
fcis-32208	134	3	be	be	AUX
fcis-32208	134	4	seen	see	VERB
fcis-32208	134	5	that	that	PRON
fcis-32208	134	6	normalized	normalize	VERB
fcis-32208	134	7	standard	standard	ADJ
fcis-32208	134	8	entropy	entropy	NOUN
fcis-32208	134	9	can	can	AUX
fcis-32208	134	10	effectively	effectively	ADV
fcis-32208	134	11	eliminate	eliminate	VERB
fcis-32208	134	12	indirect	indirect	ADJ
fcis-32208	134	13	influence	influence	NOUN
fcis-32208	134	14	,	,	PUNCT
fcis-32208	134	15	accurately	accurately	ADV
fcis-32208	134	16	measure	measure	VERB
fcis-32208	134	17	the	the	DET
fcis-32208	134	18	direct	direct	ADJ
fcis-32208	134	19	causal	causal	NOUN
fcis-32208	134	20	relationship	relationship	NOUN
fcis-32208	134	21	between	between	ADP
fcis-32208	134	22	nodes	node	NOUN
fcis-32208	134	23	,	,	PUNCT
fcis-32208	134	24	and	and	CCONJ
fcis-32208	134	25	eliminate	eliminate	VERB
fcis-32208	134	26	redundancy	redundancy	NOUN
fcis-32208	134	27	caused	cause	VERB
fcis-32208	134	28	by	by	ADP
fcis-32208	134	29	indirect	indirect	ADJ
fcis-32208	134	30	influence	influence	NOUN
fcis-32208	134	31	.	.	PUNCT
fcis-32208	135	1	through	through	ADP
fcis-32208	135	2	this	this	DET
fcis-32208	135	3	method	method	NOUN
fcis-32208	135	4	,	,	PUNCT
fcis-32208	135	5	we	we	PRON
fcis-32208	135	6	can	can	AUX
fcis-32208	135	7	more	more	ADV
fcis-32208	135	8	accurately	accurately	ADV
fcis-32208	135	9	and	and	CCONJ
fcis-32208	135	10	effectively	effectively	ADV
fcis-32208	135	11	analyze	analyze	VERB
fcis-32208	135	12	and	and	CCONJ
fcis-32208	135	13	understand	understand	VERB
fcis-32208	135	14	causal	causal	ADJ
fcis-32208	135	15	relationships	relationship	NOUN
fcis-32208	135	16	in	in	ADP
fcis-32208	135	17	complex	complex	ADJ
fcis-32208	135	18	systems	system	NOUN
fcis-32208	135	19	,	,	PUNCT
fcis-32208	135	20	providing	provide	VERB
fcis-32208	135	21	conditions	condition	NOUN
fcis-32208	135	22	for	for	ADP
fcis-32208	135	23	subsequent	subsequent	ADJ
fcis-32208	135	24	identification	identification	NOUN
fcis-32208	135	25	of	of	ADP
fcis-32208	135	26	events	event	NOUN
fcis-32208	135	27	.	.	PUNCT
fcis-32208	136	1	3.3	3.3	NUM
fcis-32208	136	2	.	.	PUNCT
fcis-32208	137	1	generative	generative	ADJ
fcis-32208	137	2	adversarial	adversarial	ADJ
fcis-32208	137	3	learning	learning	NOUN
fcis-32208	137	4	generative	generative	ADJ
fcis-32208	137	5	adversarial	adversarial	ADJ
fcis-32208	137	6	networks	network	NOUN
fcis-32208	137	7	(	(	PUNCT
fcis-32208	137	8	gans	gan	NOUN
fcis-32208	137	9	)	)	PUNCT
fcis-32208	137	10	,	,	PUNCT
fcis-32208	137	11	as	as	ADP
fcis-32208	137	12	a	a	DET
fcis-32208	137	13	dynamic	dynamic	ADJ
fcis-32208	137	14	game	game	NOUN
fcis-32208	137	15	model	model	NOUN
fcis-32208	137	16	,	,	PUNCT
fcis-32208	137	17	comprise	comprise	VERB
fcis-32208	137	18	two	two	NUM
fcis-32208	137	19	adversarial	adversarial	ADJ
fcis-32208	137	20	components	component	NOUN
fcis-32208	137	21	:	:	PUNCT
fcis-32208	137	22	the	the	DET
fcis-32208	137	23	generator	generator	NOUN
fcis-32208	137	24	g	g	PROPN
fcis-32208	137	25	and	and	CCONJ
fcis-32208	137	26	the	the	DET
fcis-32208	137	27	discriminator	discriminator	NOUN
fcis-32208	138	1	d	d	NOUN
fcis-32208	138	2	.	.	PUNCT
fcis-32208	139	1	the	the	DET
fcis-32208	139	2	generator	generator	NOUN
fcis-32208	139	3	network	network	NOUN
fcis-32208	139	4	takes	take	VERB
fcis-32208	139	5	random	random	ADJ
fcis-32208	139	6	noise	noise	NOUN
fcis-32208	139	7	as	as	ADP
fcis-32208	139	8	input	input	NOUN
fcis-32208	139	9	and	and	CCONJ
fcis-32208	139	10	generates	generate	VERB
fcis-32208	139	11	data	datum	NOUN
fcis-32208	139	12	samples	sample	NOUN
fcis-32208	139	13	.	.	PUNCT
fcis-32208	140	1	it	it	PRON
fcis-32208	140	2	receives	receive	VERB
fcis-32208	140	3	input	input	NOUN
fcis-32208	140	4	z	z	NOUN
fcis-32208	140	5	from	from	ADP
fcis-32208	140	6	a	a	DET
fcis-32208	140	7	probability	probability	NOUN
fcis-32208	140	8	distribution	distribution	NOUN
fcis-32208	140	9			NOUN
fcis-32208	140	10	p	p	NOUN
fcis-32208	140	11	z	z	NOUN
fcis-32208	140	12	and	and	CCONJ
fcis-32208	140	13	produces	produces	AUX
fcis-32208	140	14	generated	generate	VERB
fcis-32208	140	15	sample	sample	NOUN
fcis-32208	140	16	data	datum	NOUN
fcis-32208	140	17	for	for	ADP
fcis-32208	140	18	the	the	DET
fcis-32208	140	19	discriminator	discriminator	NOUN
fcis-32208	141	1	d	d	PROPN
fcis-32208	141	2	.the	.the	PROPN
fcis-32208	141	3	discriminator	discriminator	PROPN
fcis-32208	141	4	,	,	PUNCT
fcis-32208	141	5	in	in	ADP
fcis-32208	141	6	turn	turn	NOUN
fcis-32208	141	7	,	,	PUNCT
fcis-32208	141	8	takes	take	VERB
fcis-32208	141	9	real	real	ADJ
fcis-32208	141	10	and	and	CCONJ
fcis-32208	141	11	generated	generate	VERB
fcis-32208	141	12	data	datum	NOUN
fcis-32208	141	13	as	as	ADP
fcis-32208	141	14	input	input	NOUN
fcis-32208	141	15	and	and	CCONJ
fcis-32208	141	16	predicts	predict	NOUN
fcis-32208	141	17	and	and	CCONJ
fcis-32208	141	18	discriminates	discriminate	NOUN
fcis-32208	141	19	between	between	ADP
fcis-32208	141	20	the	the	DET
fcis-32208	141	21	two	two	NUM
fcis-32208	141	22	types	type	NOUN
fcis-32208	141	23	of	of	ADP
fcis-32208	141	24	input	input	NOUN
fcis-32208	141	25	data	datum	NOUN
fcis-32208	141	26	.	.	PUNCT
fcis-32208	142	1	the	the	DET
fcis-32208	142	2	optimization	optimization	NOUN
fcis-32208	142	3	objective	objective	NOUN
fcis-32208	142	4	of	of	ADP
fcis-32208	142	5	generative	generative	ADJ
fcis-32208	142	6	adversarial	adversarial	ADJ
fcis-32208	142	7	networks	network	NOUN
fcis-32208	142	8	is	be	AUX
fcis-32208	142	9	:	:	PUNCT
fcis-32208	142	10	data~	data~	VERB
fcis-32208	142	11	~min	~min	PRON
fcis-32208	142	12	max	max	PROPN
fcis-32208	142	13	(	(	PUNCT
fcis-32208	142	14	,	,	PUNCT
fcis-32208	142	15	)	)	PUNCT
fcis-32208	143	1	[	[	X
fcis-32208	143	2	log	log	X
fcis-32208	143	3	(	(	PUNCT
fcis-32208	143	4	)	)	PUNCT
fcis-32208	143	5	]	]	PUNCT
fcis-32208	144	1	[	[	X
fcis-32208	144	2	log(1	log(1	NOUN
fcis-32208	144	3	(	(	PUNCT
fcis-32208	144	4	(	(	PUNCT
fcis-32208	144	5	)	)	PUNCT
fcis-32208	144	6	)	)	PUNCT
fcis-32208	144	7	)	)	PUNCT
fcis-32208	144	8	]	]	PUNCT
fcis-32208	145	1	zg	zg	PROPN
fcis-32208	145	2	d	d	X
fcis-32208	145	3	x	x	X
fcis-32208	145	4	p	p	X
fcis-32208	145	5	z	z	NOUN
fcis-32208	145	6	pv	pv	NOUN
fcis-32208	146	1	d	d	NOUN
fcis-32208	146	2	g	g	NOUN
fcis-32208	146	3	d	d	X
fcis-32208	146	4	x	x	X
fcis-32208	146	5	d	d	X
fcis-32208	146	6	g	g	PROPN
fcis-32208	146	7	z	z	PROPN
fcis-32208	146	8			PROPN
fcis-32208	146	9	e	e	PROPN
fcis-32208	146	10	e	e	PROPN
fcis-32208	146	11	(	(	PUNCT
fcis-32208	146	12	3	3	NUM
fcis-32208	146	13	)	)	PUNCT
fcis-32208	146	14	in	in	ADP
fcis-32208	146	15	this	this	DET
fcis-32208	146	16	equation	equation	NOUN
fcis-32208	146	17	,	,	PUNCT
fcis-32208	146	18			PROPN
fcis-32208	146	19	,v	,v	NOUN
fcis-32208	147	1	d	d	X
fcis-32208	147	2	g	g	NOUN
fcis-32208	147	3	represents	represent	VERB
fcis-32208	147	4	the	the	DET
fcis-32208	147	5	value	value	NOUN
fcis-32208	147	6	function	function	NOUN
fcis-32208	147	7	of	of	ADP
fcis-32208	147	8	the	the	DET
fcis-32208	147	9	generative	generative	ADJ
fcis-32208	147	10	adversarial	adversarial	ADJ
fcis-32208	147	11	network	network	NOUN
fcis-32208	147	12	,	,	PUNCT
fcis-32208	147	13			NOUN
fcis-32208	147	14	d	d	PUNCT
fcis-32208	147	15	x	x	SYM
fcis-32208	147	16	signifies	signify	VERB
fcis-32208	147	17	the	the	DET
fcis-32208	147	18	probability	probability	NOUN
fcis-32208	147	19	that	that	SCONJ
fcis-32208	147	20	the	the	DET
fcis-32208	147	21	discriminator	discriminator	NOUN
fcis-32208	147	22	perceives	perceive	VERB
fcis-32208	147	23	real	real	ADJ
fcis-32208	147	24	data	datum	NOUN
fcis-32208	147	25	as	as	ADP
fcis-32208	147	26	genuine	genuine	ADJ
fcis-32208	147	27	,	,	PUNCT
fcis-32208	147	28			PROPN
fcis-32208	147	29	g	g	PROPN
fcis-32208	147	30	z	z	PROPN
fcis-32208	147	31	denotes	denote	VERB
fcis-32208	147	32	the	the	DET
fcis-32208	147	33	samples	sample	NOUN
fcis-32208	147	34	generated	generate	VERB
fcis-32208	147	35	by	by	ADP
fcis-32208	147	36	the	the	DET
fcis-32208	147	37	generator	generator	NOUN
fcis-32208	147	38	from	from	ADP
fcis-32208	147	39	the	the	DET
fcis-32208	147	40	noise	noise	NOUN
fcis-32208	147	41	z	z	NOUN
fcis-32208	147	42	,	,	PUNCT
fcis-32208	147	43			PROPN
fcis-32208	147	44			NOUN
fcis-32208	147	45	d	d	PUNCT
fcis-32208	147	46	g	g	PROPN
fcis-32208	147	47	z	z	NOUN
fcis-32208	147	48	signifies	signify	VERB
fcis-32208	147	49	the	the	DET
fcis-32208	147	50	probability	probability	NOUN
fcis-32208	147	51	that	that	SCONJ
fcis-32208	147	52	the	the	DET
fcis-32208	147	53	discriminator	discriminator	NOUN
fcis-32208	147	54	views	view	VERB
fcis-32208	147	55	samples	sample	NOUN
fcis-32208	147	56	generated	generate	VERB
fcis-32208	147	57	by	by	ADP
fcis-32208	147	58	the	the	DET
fcis-32208	147	59	generator	generator	NOUN
fcis-32208	147	60	as	as	ADP
fcis-32208	147	61	real	real	ADJ
fcis-32208	147	62	data	datum	NOUN
fcis-32208	147	63	,	,	PUNCT
fcis-32208	147	64	datap	datap	NOUN
fcis-32208	147	65	represents	represent	VERB
fcis-32208	147	66	the	the	DET
fcis-32208	147	67	distribution	distribution	NOUN
fcis-32208	147	68	of	of	ADP
fcis-32208	147	69	real	real	ADJ
fcis-32208	147	70	data	datum	NOUN
fcis-32208	147	71	samples	sample	NOUN
fcis-32208	147	72	,	,	PUNCT
fcis-32208	147	73	and	and	CCONJ
fcis-32208	147	74	zp	zp	PROPN
fcis-32208	147	75	represents	represent	VERB
fcis-32208	147	76	the	the	DET
fcis-32208	147	77	distribution	distribution	NOUN
fcis-32208	147	78	of	of	ADP
fcis-32208	147	79	samples	sample	NOUN
fcis-32208	147	80	in	in	ADP
fcis-32208	147	81	the	the	DET
fcis-32208	147	82	latent	latent	NOUN
fcis-32208	147	83	space	space	NOUN
fcis-32208	147	84	.	.	PUNCT
fcis-32208	148	1	equation	equation	NOUN
fcis-32208	148	2	3	3	NUM
fcis-32208	148	3	can	can	AUX
fcis-32208	148	4	also	also	ADV
fcis-32208	148	5	be	be	AUX
fcis-32208	148	6	expressed	express	VERB
fcis-32208	148	7	as	as	ADP
fcis-32208	148	8	:	:	PUNCT
fcis-32208	148	9	data~	data~	VERB
fcis-32208	148	10	~min	~min	X
fcis-32208	148	11	max	max	PROPN
fcis-32208	148	12	(	(	PUNCT
fcis-32208	148	13	,	,	PUNCT
fcis-32208	148	14	)	)	PUNCT
fcis-32208	149	1	[	[	X
fcis-32208	149	2	log	log	X
fcis-32208	149	3	(	(	PUNCT
fcis-32208	149	4	)	)	PUNCT
fcis-32208	149	5	]	]	PUNCT
fcis-32208	150	1	[	[	X
fcis-32208	150	2	log(1	log(1	NOUN
fcis-32208	150	3	(	(	PUNCT
fcis-32208	150	4	)	)	PUNCT
fcis-32208	150	5	)	)	PUNCT
fcis-32208	150	6	]	]	PUNCT
fcis-32208	151	1	gg	gg	NOUN
fcis-32208	151	2	d	d	X
fcis-32208	151	3	x	x	X
fcis-32208	151	4	p	p	X
fcis-32208	151	5	x	x	X
fcis-32208	151	6	pv	pv	NOUN
fcis-32208	152	1	d	d	X
fcis-32208	152	2	g	g	PROPN
fcis-32208	152	3	d	d	X
fcis-32208	152	4	x	x	PROPN
fcis-32208	152	5	d	d	X
fcis-32208	152	6	x	x	PROPN
fcis-32208	152	7			PROPN
fcis-32208	152	8			PROPN
fcis-32208	152	9	e	e	NOUN
fcis-32208	152	10	e	e	X
fcis-32208	152	11	(	(	PUNCT
fcis-32208	152	12	4	4	NUM
fcis-32208	152	13	)	)	PUNCT
fcis-32208	152	14	among	among	ADP
fcis-32208	152	15	them	they	PRON
fcis-32208	152	16	,	,	PUNCT
fcis-32208	152	17	(	(	PUNCT
fcis-32208	152	18	)	)	PUNCT
fcis-32208	152	19	g	g	PROPN
fcis-32208	152	20	z	z	PROPN
fcis-32208	152	21	x	x	PROPN
fcis-32208	152	22			NOUN
fcis-32208	152	23	,	,	PUNCT
fcis-32208	152	24	gp	gp	NOUN
fcis-32208	152	25	represents	represent	VERB
fcis-32208	152	26	the	the	DET
fcis-32208	152	27	distribution	distribution	NOUN
fcis-32208	152	28	of	of	ADP
fcis-32208	152	29	sample	sample	NOUN
fcis-32208	152	30	x	x	PUNCT
fcis-32208	152	31	generated	generate	VERB
fcis-32208	152	32	by	by	ADP
fcis-32208	152	33	the	the	DET
fcis-32208	152	34	generator	generator	NOUN
fcis-32208	152	35	.	.	PUNCT
fcis-32208	153	1	on	on	ADP
fcis-32208	153	2	this	this	DET
fcis-32208	153	3	basis	basis	NOUN
fcis-32208	153	4	,	,	PUNCT
fcis-32208	153	5	calculate	calculate	VERB
fcis-32208	153	6	the	the	DET
fcis-32208	153	7	ideal	ideal	ADJ
fcis-32208	153	8	discriminator	discriminator	NOUN
fcis-32208	153	9	*	*	PROPN
fcis-32208	153	10	d	d	PROPN
fcis-32208	153	11	and	and	CCONJ
fcis-32208	153	12	the	the	DET
fcis-32208	153	13	ideal	ideal	ADJ
fcis-32208	153	14	generator	generator	NOUN
fcis-32208	153	15	*	*	NOUN
fcis-32208	153	16	g	g	PROPN
fcis-32208	153	17	.	.	PUNCT
fcis-32208	154	1	12	12	NUM
fcis-32208	154	2			NOUN
fcis-32208	154	3			PROPN
fcis-32208	154	4	*	*	PUNCT
fcis-32208	154	5	arg	arg	NOUN
fcis-32208	154	6	max	max	PROPN
fcis-32208	154	7	,	,	PUNCT
fcis-32208	154	8	d	d	PROPN
fcis-32208	154	9	d	d	X
fcis-32208	154	10	v	v	PROPN
fcis-32208	154	11	d	d	X
fcis-32208	154	12	g	g	PROPN
fcis-32208	154	13	(	(	PUNCT
fcis-32208	154	14	5	5	NUM
fcis-32208	154	15	)	)	PUNCT
fcis-32208	154	16			NOUN
fcis-32208	154	17			PUNCT
fcis-32208	154	18			NOUN
fcis-32208	155	1			PUNCT
fcis-32208	155	2	*	*	PUNCT
fcis-32208	155	3	*	*	PUNCT
fcis-32208	155	4	arg	arg	X
fcis-32208	155	5	minmax	minmax	X
fcis-32208	155	6	,	,	PUNCT
fcis-32208	155	7	arg	arg	NOUN
fcis-32208	155	8	min	min	NOUN
fcis-32208	155	9	,	,	PUNCT
fcis-32208	155	10	g	g	PROPN
fcis-32208	155	11	gd	gd	INTJ
fcis-32208	155	12	g	g	PROPN
fcis-32208	155	13	v	v	INTJ
fcis-32208	155	14	d	d	X
fcis-32208	155	15	g	g	PROPN
fcis-32208	155	16	v	v	NUM
fcis-32208	155	17	d	d	X
fcis-32208	155	18	g	g	NOUN
fcis-32208	155	19			NUM
fcis-32208	155	20	(	(	PUNCT
fcis-32208	155	21	6	6	NUM
fcis-32208	155	22	)	)	PUNCT
fcis-32208	155	23	for	for	ADP
fcis-32208	155	24	the	the	DET
fcis-32208	155	25	above	above	NOUN
fcis-32208	155	26	*	*	PROPN
fcis-32208	155	27	d	d	NOUN
fcis-32208	155	28	,	,	PUNCT
fcis-32208	155	29	assuming	assume	VERB
fcis-32208	155	30	that	that	SCONJ
fcis-32208	155	31	generator	generator	NOUN
fcis-32208	155	32	g	g	PROPN
fcis-32208	155	33	is	be	AUX
fcis-32208	155	34	fixed	fix	VERB
fcis-32208	155	35	and	and	CCONJ
fcis-32208	155	36	has	have	VERB
fcis-32208	155	37	(	(	PUNCT
fcis-32208	155	38	)	)	PUNCT
fcis-32208	155	39	,	,	PUNCT
fcis-32208	155	40	~	~	PUNCT
fcis-32208	155	41	gg	gg	NOUN
fcis-32208	155	42	z	z	NOUN
fcis-32208	155	43	x	x	SYM
fcis-32208	155	44	x	x	PUNCT
fcis-32208	155	45	p	p	NOUN
fcis-32208	155	46			X
fcis-32208	155	47			NOUN
fcis-32208	155	48	,	,	PUNCT
fcis-32208	155	49	then	then	ADV
fcis-32208	155	50	:	:	PUNCT
fcis-32208	155	51			NOUN
fcis-32208	155	52			PUNCT
fcis-32208	155	53	~	~	PUNCT
fcis-32208	155	54	~	~	PUNCT
fcis-32208	155	55	(	(	PUNCT
fcis-32208	155	56	,	,	PUNCT
fcis-32208	155	57	)	)	PUNCT
fcis-32208	156	1	[	[	X
fcis-32208	156	2	log	log	X
fcis-32208	156	3	(	(	PUNCT
fcis-32208	156	4	)	)	PUNCT
fcis-32208	156	5	]	]	PUNCT
fcis-32208	157	1	[	[	X
fcis-32208	157	2	log(1	log(1	NOUN
fcis-32208	157	3	(	(	PUNCT
fcis-32208	157	4	(	(	PUNCT
fcis-32208	157	5	)	)	PUNCT
fcis-32208	157	6	)	)	PUNCT
fcis-32208	157	7	)	)	PUNCT
fcis-32208	157	8	]	]	PUNCT
fcis-32208	157	9	(	(	PUNCT
fcis-32208	157	10	)	)	PUNCT
fcis-32208	157	11	log	log	NOUN
fcis-32208	157	12	(	(	PUNCT
fcis-32208	157	13	)	)	PUNCT
fcis-32208	157	14	(	(	PUNCT
fcis-32208	157	15	)	)	PUNCT
fcis-32208	157	16	log(1	log(1	NOUN
fcis-32208	157	17	(	(	PUNCT
fcis-32208	157	18	)	)	PUNCT
fcis-32208	157	19	)	)	PUNCT
fcis-32208	157	20	data	datum	NOUN
fcis-32208	157	21	zx	zx	NUM
fcis-32208	157	22	p	p	NOUN
fcis-32208	157	23	z	z	PROPN
fcis-32208	157	24	p	p	NOUN
fcis-32208	157	25	data	datum	NOUN
fcis-32208	157	26	g	g	PROPN
fcis-32208	157	27	v	v	NOUN
fcis-32208	157	28	d	d	X
fcis-32208	157	29	g	g	NOUN
fcis-32208	157	30	e	e	PROPN
fcis-32208	157	31	d	d	X
fcis-32208	157	32	x	x	PUNCT
fcis-32208	157	33	e	e	NOUN
fcis-32208	157	34	d	d	X
fcis-32208	157	35	g	g	PROPN
fcis-32208	157	36	z	z	PROPN
fcis-32208	157	37	p	p	NOUN
fcis-32208	158	1	x	x	X
fcis-32208	159	1	d	d	NOUN
fcis-32208	159	2	x	x	X
fcis-32208	159	3	p	p	X
fcis-32208	159	4	x	x	X
fcis-32208	159	5	d	d	NOUN
fcis-32208	159	6	x	x	X
fcis-32208	159	7	dx	dx	PROPN
fcis-32208	159	8			PROPN
fcis-32208	159	9			ADV
fcis-32208	159	10			PROPN
fcis-32208	159	11			PROPN
fcis-32208	159	12			ADV
fcis-32208	159	13			NOUN
fcis-32208	159	14	(	(	PUNCT
fcis-32208	159	15	7	7	X
fcis-32208	159	16	)	)	PUNCT
fcis-32208	159	17	now	now	ADV
fcis-32208	159	18	we	we	PRON
fcis-32208	159	19	need	need	VERB
fcis-32208	159	20	to	to	PART
fcis-32208	159	21	find	find	VERB
fcis-32208	159	22	a	a	DET
fcis-32208	159	23	d	d	NOUN
fcis-32208	159	24	that	that	DET
fcis-32208	159	25	maximizesv	maximizesv	PROPN
fcis-32208	159	26	,	,	PUNCT
fcis-32208	159	27	that	that	ADV
fcis-32208	159	28	is	is	ADV
fcis-32208	159	29	,	,	PUNCT
fcis-32208	159	30	we	we	PRON
fcis-32208	159	31	hope	hope	VERB
fcis-32208	159	32	to	to	PART
fcis-32208	159	33	maximize	maximize	VERB
fcis-32208	159	34	the	the	DET
fcis-32208	159	35	value	value	NOUN
fcis-32208	159	36	of	of	ADP
fcis-32208	159	37	x	x	PUNCT
fcis-32208	159	38	for	for	ADP
fcis-32208	159	39	the	the	DET
fcis-32208	159	40	integrand	integrand	NOUN
fcis-32208	159	41	function	function	NOUN
fcis-32208	159	42			NOUN
fcis-32208	159	43			SYM
fcis-32208	159	44			NOUN
fcis-32208	159	45			PUNCT
fcis-32208	159	46			PROPN
fcis-32208	159	47			PROPN
fcis-32208	159	48	log	log	PROPN
fcis-32208	159	49	log	log	PROPN
fcis-32208	159	50	1data	1data	NUM
fcis-32208	159	51	gf	gf	NOUN
fcis-32208	159	52	x	x	X
fcis-32208	160	1	p	p	X
fcis-32208	160	2	d	d	X
fcis-32208	160	3	x	x	X
fcis-32208	160	4	p	p	PROPN
fcis-32208	160	5	d	d	PROPN
fcis-32208	160	6	x	x	PROPN
fcis-32208	160	7			PUNCT
fcis-32208	160	8			PROPN
fcis-32208	160	9	regardless	regardless	ADV
fcis-32208	160	10	of	of	ADP
fcis-32208	160	11	its	its	PRON
fcis-32208	160	12	value	value	NOUN
fcis-32208	160	13	.	.	PUNCT
fcis-32208	161	1	among	among	ADP
fcis-32208	161	2	them	they	PRON
fcis-32208	161	3	,	,	PUNCT
fcis-32208	161	4	datap	datap	NOUN
fcis-32208	161	5	is	be	AUX
fcis-32208	161	6	fixed	fix	VERB
fcis-32208	161	7	,	,	PUNCT
fcis-32208	161	8	and	and	CCONJ
fcis-32208	161	9	assuming	assume	VERB
fcis-32208	161	10	the	the	DET
fcis-32208	161	11	generator	generator	NOUN
fcis-32208	161	12	is	be	AUX
fcis-32208	161	13	fixed	fix	VERB
fcis-32208	161	14	,	,	PUNCT
fcis-32208	161	15	so	so	CCONJ
fcis-32208	161	16	gp	gp	NOUN
fcis-32208	161	17	is	be	AUX
fcis-32208	161	18	also	also	ADV
fcis-32208	161	19	fixed	fix	VERB
fcis-32208	161	20	.	.	PUNCT
fcis-32208	162	1	if	if	SCONJ
fcis-32208	162	2	the	the	DET
fcis-32208	162	3	derivative	derivative	NOUN
fcis-32208	162	4	of	of	ADP
fcis-32208	162	5			NOUN
fcis-32208	162	6	f	f	PROPN
fcis-32208	162	7	x	x	PUNCT
fcis-32208	162	8	over	over	ADP
fcis-32208	162	9			NOUN
fcis-32208	162	10	d	d	PUNCT
fcis-32208	162	11	x	x	SYM
fcis-32208	162	12	is	be	AUX
fcis-32208	162	13	equal	equal	ADJ
fcis-32208	162	14	to	to	ADP
fcis-32208	162	15	zero	zero	NUM
fcis-32208	162	16	,	,	PUNCT
fcis-32208	162	17	then	then	ADV
fcis-32208	162	18	*	*	PUNCT
fcis-32208	162	19	d	d	NOUN
fcis-32208	162	20	can	can	AUX
fcis-32208	162	21	be	be	AUX
fcis-32208	162	22	calculated	calculate	VERB
fcis-32208	162	23	to	to	PART
fcis-32208	162	24	maximize	maximize	VERB
fcis-32208	162	25			NOUN
fcis-32208	162	26	f	f	PROPN
fcis-32208	162	27	x	x	X
fcis-32208	162	28	.	.	PUNCT
fcis-32208	163	1	namely	namely	ADV
fcis-32208	163	2	:	:	PUNCT
fcis-32208	163	3			NOUN
fcis-32208	163	4			SYM
fcis-32208	163	5			NOUN
fcis-32208	163	6			SYM
fcis-32208	163	7			NOUN
fcis-32208	163	8			SYM
fcis-32208	163	9			NOUN
fcis-32208	163	10			SYM
fcis-32208	163	11			NOUN
fcis-32208	163	12			SYM
fcis-32208	163	13			NOUN
fcis-32208	163	14			PUNCT
fcis-32208	163	15	0	0	NUM
fcis-32208	163	16	1	1	NUM
fcis-32208	163	17	gdata	gdata	NOUN
fcis-32208	163	18	p	p	X
fcis-32208	164	1	xdf	xdf	NOUN
fcis-32208	165	1	x	x	X
fcis-32208	165	2	p	p	X
fcis-32208	165	3	x	x	X
fcis-32208	165	4	d	d	NOUN
fcis-32208	165	5	x	x	X
fcis-32208	165	6	d	d	NOUN
fcis-32208	165	7	x	x	X
fcis-32208	165	8	d	d	NOUN
fcis-32208	165	9	x	x	SYM
fcis-32208	165	10			PRON
fcis-32208	165	11			PROPN
fcis-32208	165	12			PROPN
fcis-32208	165	13			PROPN
fcis-32208	165	14	(	(	PUNCT
fcis-32208	165	15	8)	8)	NUM
fcis-32208	165	16	obtain	obtain	VERB
fcis-32208	165	17	:	:	PUNCT
fcis-32208	165	18			NOUN
fcis-32208	165	19			SYM
fcis-32208	165	20			NOUN
fcis-32208	165	21			SYM
fcis-32208	165	22			NOUN
fcis-32208	165	23			SYM
fcis-32208	165	24			NOUN
fcis-32208	165	25			PUNCT
fcis-32208	165	26	*	*	PUNCT
fcis-32208	165	27	data	data	PROPN
fcis-32208	165	28	data	datum	NOUN
fcis-32208	165	29	g	g	PROPN
fcis-32208	165	30	p	p	NOUN
fcis-32208	165	31	x	x	PROPN
fcis-32208	166	1	d	d	X
fcis-32208	166	2	x	x	X
fcis-32208	166	3	p	p	X
fcis-32208	166	4	x	x	X
fcis-32208	166	5	p	p	X
fcis-32208	166	6	x	x	X
fcis-32208	166	7			NOUN
fcis-32208	166	8			PUNCT
fcis-32208	166	9	(	(	PUNCT
fcis-32208	166	10	9	9	NUM
fcis-32208	166	11	)	)	PUNCT
fcis-32208	166	12	from	from	ADP
fcis-32208	166	13	equation	equation	NOUN
fcis-32208	166	14	9	9	NUM
fcis-32208	166	15	,	,	PUNCT
fcis-32208	166	16	it	it	PRON
fcis-32208	166	17	can	can	AUX
fcis-32208	166	18	be	be	AUX
fcis-32208	166	19	seen	see	VERB
fcis-32208	166	20	that	that	SCONJ
fcis-32208	166	21	its	its	PRON
fcis-32208	166	22	value	value	NOUN
fcis-32208	166	23	is	be	AUX
fcis-32208	166	24	between	between	ADP
fcis-32208	166	25	0	0	NUM
fcis-32208	166	26	and	and	CCONJ
fcis-32208	166	27	1	1	NUM
fcis-32208	166	28	,	,	PUNCT
fcis-32208	166	29	which	which	PRON
fcis-32208	166	30	conforms	conform	VERB
fcis-32208	166	31	to	to	ADP
fcis-32208	166	32	the	the	DET
fcis-32208	166	33	pattern	pattern	NOUN
fcis-32208	166	34	of	of	ADP
fcis-32208	166	35	the	the	DET
fcis-32208	166	36	discriminator	discriminator	NOUN
fcis-32208	166	37	.	.	PUNCT
fcis-32208	167	1	the	the	DET
fcis-32208	167	2	ideal	ideal	ADJ
fcis-32208	167	3	discriminator	discriminator	NOUN
fcis-32208	167	4	judges	judge	VERB
fcis-32208	167	5	the	the	DET
fcis-32208	167	6	real	real	ADJ
fcis-32208	167	7	data	datum	NOUN
fcis-32208	167	8	as	as	ADP
fcis-32208	167	9	1	1	NUM
fcis-32208	167	10	and	and	CCONJ
fcis-32208	167	11	the	the	DET
fcis-32208	167	12	generated	generate	VERB
fcis-32208	167	13	data	datum	NOUN
fcis-32208	167	14	as	as	ADP
fcis-32208	167	15	0	0	NUM
fcis-32208	167	16	.	.	PUNCT
fcis-32208	168	1	when	when	SCONJ
fcis-32208	168	2	the	the	DET
fcis-32208	168	3	distribution	distribution	NOUN
fcis-32208	168	4	of	of	ADP
fcis-32208	168	5	the	the	DET
fcis-32208	168	6	generated	generate	VERB
fcis-32208	168	7	data	datum	NOUN
fcis-32208	168	8	by	by	ADP
fcis-32208	168	9	the	the	DET
fcis-32208	168	10	generator	generator	NOUN
fcis-32208	168	11	is	be	AUX
fcis-32208	168	12	very	very	ADV
fcis-32208	168	13	close	close	ADJ
fcis-32208	168	14	to	to	ADP
fcis-32208	168	15	the	the	DET
fcis-32208	168	16	distribution	distribution	NOUN
fcis-32208	168	17	of	of	ADP
fcis-32208	168	18	the	the	DET
fcis-32208	168	19	real	real	ADJ
fcis-32208	168	20	data	datum	NOUN
fcis-32208	168	21	,	,	PUNCT
fcis-32208	168	22	the	the	DET
fcis-32208	168	23	output	output	NOUN
fcis-32208	168	24	probability	probability	NOUN
fcis-32208	168	25	of	of	ADP
fcis-32208	168	26	the	the	DET
fcis-32208	168	27	discriminator	discriminator	NOUN
fcis-32208	168	28	is	be	AUX
fcis-32208	168	29	0.5	0.5	NUM
fcis-32208	168	30	.	.	PUNCT
fcis-32208	169	1	according	accord	VERB
fcis-32208	169	2	to	to	ADP
fcis-32208	169	3	the	the	DET
fcis-32208	169	4	definitions	definition	NOUN
fcis-32208	169	5	of	of	ADP
fcis-32208	169	6	kl	kl	NOUN
fcis-32208	169	7	divergence	divergence	NOUN
fcis-32208	169	8	and	and	CCONJ
fcis-32208	169	9	js	js	ADJ
fcis-32208	169	10	divergence	divergence	NOUN
fcis-32208	169	11	:	:	PUNCT
fcis-32208	169	12			NOUN
fcis-32208	169	13			SYM
fcis-32208	169	14			NOUN
fcis-32208	169	15			SYM
fcis-32208	169	16			NOUN
fcis-32208	169	17	1	1	VERB
fcis-32208	169	18	1	1	NUM
fcis-32208	169	19	||	||	NOUN
fcis-32208	169	20	||	||	NOUN
fcis-32208	170	1	||	||	NOUN
fcis-32208	170	2	2	2	NUM
fcis-32208	170	3	2	2	NUM
fcis-32208	170	4	jsd	jsd	NOUN
fcis-32208	170	5	p	p	X
fcis-32208	170	6	q	q	PROPN
fcis-32208	170	7	kl	kl	NOUN
fcis-32208	170	8	p	p	NOUN
fcis-32208	170	9	m	m	PROPN
fcis-32208	170	10	kl	kl	NOUN
fcis-32208	170	11	q	q	PROPN
fcis-32208	171	1	m	m	NOUN
fcis-32208	171	2			PUNCT
fcis-32208	171	3	(	(	PUNCT
fcis-32208	171	4	10	10	NUM
fcis-32208	171	5	)	)	PUNCT
fcis-32208	171	6	where	where	SCONJ
fcis-32208	171	7			NOUN
fcis-32208	171	8	1	1	VERB
fcis-32208	171	9	2	2	NUM
fcis-32208	171	10	m	m	NOUN
fcis-32208	171	11	p	p	NOUN
fcis-32208	171	12	q	q	NOUN
fcis-32208	171	13			X
fcis-32208	171	14	,	,	PUNCT
fcis-32208	171	15	so	so	CCONJ
fcis-32208	171	16	equation	equation	NOUN
fcis-32208	171	17	10	10	NUM
fcis-32208	171	18	can	can	AUX
fcis-32208	171	19	be	be	AUX
fcis-32208	171	20	expressed	express	VERB
fcis-32208	171	21	as	as	ADP
fcis-32208	171	22	:	:	PUNCT
fcis-32208	171	23			NOUN
fcis-32208	171	24	max	max	NOUN
fcis-32208	171	25	,	,	PUNCT
fcis-32208	171	26	log	log	VERB
fcis-32208	171	27	4	4	NUM
fcis-32208	171	28	||	||	NOUN
fcis-32208	171	29	||	||	NOUN
fcis-32208	171	30	2	2	NUM
fcis-32208	171	31	2	2	NUM
fcis-32208	171	32	data	datum	NOUN
fcis-32208	171	33	g	g	PROPN
fcis-32208	171	34	data	datum	NOUN
fcis-32208	171	35	g	g	PROPN
fcis-32208	171	36	data	datum	NOUN
fcis-32208	172	1	g	g	PROPN
fcis-32208	172	2	d	d	PROPN
fcis-32208	172	3	p	p	X
fcis-32208	172	4	p	p	X
fcis-32208	172	5	p	p	X
fcis-32208	172	6	p	p	X
fcis-32208	172	7	v	v	NOUN
fcis-32208	172	8	g	g	NOUN
fcis-32208	172	9	d	d	X
fcis-32208	172	10	kl	kl	X
fcis-32208	172	11	p	p	PROPN
fcis-32208	172	12	kl	kl	PROPN
fcis-32208	173	1	p	p	PROPN
fcis-32208	173	2			PROPN
fcis-32208	173	3			VERB
fcis-32208	173	4			PROPN
fcis-32208	173	5			NOUN
fcis-32208	173	6			PROPN
fcis-32208	173	7			PROPN
fcis-32208	173	8			PROPN
fcis-32208	173	9			CCONJ
fcis-32208	174	1			PROPN
fcis-32208	174	2			PROPN
fcis-32208	175	1			PROPN
fcis-32208	175	2			PROPN
fcis-32208	176	1			PROPN
fcis-32208	176	2			PROPN
fcis-32208	176	3			PROPN
fcis-32208	176	4			NOUN
fcis-32208	176	5	(	(	PUNCT
fcis-32208	176	6	11	11	NUM
fcis-32208	176	7	)	)	PUNCT
fcis-32208	176	8	due	due	ADP
fcis-32208	176	9	to	to	ADP
fcis-32208	176	10	the	the	DET
fcis-32208	176	11	non	non	ADJ
fcis-32208	176	12	negative	negative	ADJ
fcis-32208	176	13	divergence	divergence	NOUN
fcis-32208	176	14	of	of	ADP
fcis-32208	176	15	js	js	PROPN
fcis-32208	176	16	,	,	PUNCT
fcis-32208	176	17	equation	equation	NOUN
fcis-32208	176	18	11	11	NUM
fcis-32208	176	19	can	can	AUX
fcis-32208	176	20	obtain	obtain	VERB
fcis-32208	176	21	the	the	DET
fcis-32208	176	22	global	global	ADJ
fcis-32208	176	23	minimum	minimum	NOUN
fcis-32208	176	24	value	value	NOUN
fcis-32208	176	25	log	log	VERB
fcis-32208	176	26	4	4	NUM
fcis-32208	176	27	only	only	ADV
fcis-32208	176	28	when	when	SCONJ
fcis-32208	176	29	data	datum	NOUN
fcis-32208	176	30	gp	gp	NOUN
fcis-32208	176	31	p	p	ADV
fcis-32208	176	32	.	.	PUNCT
fcis-32208	177	1	therefore	therefore	ADV
fcis-32208	177	2	,	,	PUNCT
fcis-32208	177	3	it	it	PRON
fcis-32208	177	4	can	can	AUX
fcis-32208	177	5	be	be	AUX
fcis-32208	177	6	inferred	infer	VERB
fcis-32208	177	7	that	that	SCONJ
fcis-32208	177	8	the	the	DET
fcis-32208	177	9	generator	generator	NOUN
fcis-32208	177	10	is	be	AUX
fcis-32208	177	11	optimal	optimal	ADJ
fcis-32208	177	12	when	when	SCONJ
fcis-32208	177	13	the	the	DET
fcis-32208	177	14	distribution	distribution	NOUN
fcis-32208	177	15	of	of	ADP
fcis-32208	177	16	the	the	DET
fcis-32208	177	17	generated	generate	VERB
fcis-32208	177	18	data	data	NOUN
fcis-32208	177	19	is	be	AUX
fcis-32208	177	20	equal	equal	ADJ
fcis-32208	177	21	to	to	ADP
fcis-32208	177	22	the	the	DET
fcis-32208	177	23	actual	actual	ADJ
fcis-32208	177	24	distribution	distribution	NOUN
fcis-32208	177	25	of	of	ADP
fcis-32208	177	26	the	the	DET
fcis-32208	177	27	data	datum	NOUN
fcis-32208	177	28	.	.	PUNCT
fcis-32208	178	1	3.4	3.4	NUM
fcis-32208	178	2	.	.	PUNCT
fcis-32208	178	3	generator	generator	NOUN
fcis-32208	178	4	model	model	NOUN
fcis-32208	178	5	in	in	ADP
fcis-32208	178	6	this	this	DET
fcis-32208	178	7	section	section	NOUN
fcis-32208	178	8	of	of	ADP
fcis-32208	178	9	the	the	DET
fcis-32208	178	10	research	research	NOUN
fcis-32208	178	11	,	,	PUNCT
fcis-32208	178	12	a	a	DET
fcis-32208	178	13	generative	generative	ADJ
fcis-32208	178	14	model	model	NOUN
fcis-32208	178	15	was	be	AUX
fcis-32208	178	16	constructed	construct	VERB
fcis-32208	178	17	using	use	VERB
fcis-32208	178	18	a	a	DET
fcis-32208	178	19	network	network	NOUN
fcis-32208	178	20	architecture	architecture	NOUN
fcis-32208	178	21	that	that	PRON
fcis-32208	178	22	integrates	integrate	VERB
fcis-32208	178	23	gru	gru	NOUN
fcis-32208	178	24	and	and	CCONJ
fcis-32208	178	25	lstm	lstm	NOUN
fcis-32208	178	26	with	with	ADP
fcis-32208	178	27	a	a	DET
fcis-32208	178	28	self	self	NOUN
fcis-32208	178	29	-	-	PUNCT
fcis-32208	178	30	attention	attention	NOUN
fcis-32208	178	31	mechanism	mechanism	NOUN
fcis-32208	178	32	,	,	PUNCT
fcis-32208	178	33	as	as	SCONJ
fcis-32208	178	34	depicted	depict	VERB
fcis-32208	178	35	in	in	ADP
fcis-32208	178	36	figure	figure	NOUN
fcis-32208	178	37	3	3	NUM
fcis-32208	178	38	.	.	PUNCT
fcis-32208	179	1	this	this	DET
fcis-32208	179	2	generative	generative	ADJ
fcis-32208	179	3	network	network	NOUN
fcis-32208	179	4	is	be	AUX
fcis-32208	179	5	designed	design	VERB
fcis-32208	179	6	to	to	PART
fcis-32208	179	7	produce	produce	VERB
fcis-32208	179	8	fake	fake	ADJ
fcis-32208	179	9	samples	sample	NOUN
fcis-32208	179	10	that	that	PRON
fcis-32208	179	11	are	be	AUX
fcis-32208	179	12	highly	highly	ADV
fcis-32208	179	13	similar	similar	ADJ
fcis-32208	179	14	to	to	ADP
fcis-32208	179	15	real	real	ADJ
fcis-32208	179	16	samples	sample	NOUN
fcis-32208	179	17	.	.	PUNCT
fcis-32208	180	1	broadly	broadly	ADV
fcis-32208	180	2	speaking	speak	VERB
fcis-32208	180	3	,	,	PUNCT
fcis-32208	180	4	the	the	DET
fcis-32208	180	5	generative	generative	ADJ
fcis-32208	180	6	model	model	NOUN
fcis-32208	180	7	encompasses	encompass	VERB
fcis-32208	180	8	three	three	NUM
fcis-32208	180	9	major	major	ADJ
fcis-32208	180	10	components	component	NOUN
fcis-32208	180	11	:	:	PUNCT
fcis-32208	180	12	an	an	DET
fcis-32208	180	13	embedding	embed	VERB
fcis-32208	180	14	layer	layer	NOUN
fcis-32208	180	15	,	,	PUNCT
fcis-32208	180	16	a	a	DET
fcis-32208	180	17	self	self	NOUN
fcis-32208	180	18	-	-	PUNCT
fcis-32208	180	19	attention	attention	NOUN
fcis-32208	180	20	layer	layer	NOUN
fcis-32208	180	21	,	,	PUNCT
fcis-32208	180	22	and	and	CCONJ
fcis-32208	180	23	a	a	DET
fcis-32208	180	24	feed	feed	NOUN
fcis-32208	180	25	-	-	PUNCT
fcis-32208	180	26	forward	forward	NOUN
fcis-32208	180	27	network	network	NOUN
fcis-32208	180	28	layer	layer	NOUN
fcis-32208	180	29	.	.	PUNCT
fcis-32208	181	1	fig	fig	NOUN
fcis-32208	181	2	3	3	NUM
fcis-32208	181	3	.	.	PUNCT
fcis-32208	181	4	generator	generator	PROPN
fcis-32208	181	5	model	model	NOUN
fcis-32208	181	6	structure	structure	NOUN
fcis-32208	181	7	.	.	PUNCT
fcis-32208	182	1	the	the	DET
fcis-32208	182	2	embedding	embed	VERB
fcis-32208	182	3	layer	layer	NOUN
fcis-32208	182	4	includes	include	VERB
fcis-32208	182	5	an	an	DET
fcis-32208	182	6	event	event	NOUN
fcis-32208	182	7	embedding	embed	VERB
fcis-32208	182	8	module	module	NOUN
fcis-32208	182	9	,	,	PUNCT
fcis-32208	182	10	gru	gru	NOUN
fcis-32208	182	11	units	unit	NOUN
fcis-32208	182	12	,	,	PUNCT
fcis-32208	182	13	and	and	CCONJ
fcis-32208	182	14	lstm	lstm	ADJ
fcis-32208	182	15	units	unit	NOUN
fcis-32208	182	16	.	.	PUNCT
fcis-32208	183	1	assuming	assume	VERB
fcis-32208	183	2	a	a	DET
fcis-32208	183	3	sequence	sequence	NOUN
fcis-32208	183	4			PRON
fcis-32208	183	5	1	1	NOUN
fcis-32208	183	6	2	2	NUM
fcis-32208	183	7	,	,	PUNCT
fcis-32208	183	8	,	,	PUNCT
fcis-32208	183	9	...	...	PUNCT
fcis-32208	183	10	,	,	PUNCT
fcis-32208	183	11	ma	ma	PROPN
fcis-32208	183	12	a	a	DET
fcis-32208	183	13	a	a	DET
fcis-32208	183	14	a	a	NOUN
fcis-32208	183	15	is	be	AUX
fcis-32208	183	16	obtained	obtain	VERB
fcis-32208	183	17	after	after	ADP
fcis-32208	183	18	parsing	parse	VERB
fcis-32208	183	19	social	social	ADJ
fcis-32208	183	20	stream	stream	NOUN
fcis-32208	183	21	logs	log	NOUN
fcis-32208	183	22	,	,	PUNCT
fcis-32208	183	23	where	where	SCONJ
fcis-32208	183	24	m	m	NOUN
fcis-32208	183	25	represents	represent	VERB
fcis-32208	183	26	the	the	DET
fcis-32208	183	27	total	total	ADJ
fcis-32208	183	28	number	number	NOUN
fcis-32208	183	29	of	of	ADP
fcis-32208	183	30	log	log	NOUN
fcis-32208	183	31	events	event	NOUN
fcis-32208	183	32	,	,	PUNCT
fcis-32208	183	33	and	and	CCONJ
fcis-32208	183	34	each	each	DET
fcis-32208	183	35	event	event	NOUN
fcis-32208	183	36	is	be	AUX
fcis-32208	183	37	assigned	assign	VERB
fcis-32208	183	38	a	a	DET
fcis-32208	183	39	unique	unique	ADJ
fcis-32208	183	40	identifier	identifier	NOUN
fcis-32208	183	41	upon	upon	SCONJ
fcis-32208	183	42	log	log	NOUN
fcis-32208	183	43	parsing	parsing	NOUN
fcis-32208	183	44	,	,	PUNCT
fcis-32208	183	45	implying	imply	VERB
fcis-32208	183	46	that	that	SCONJ
fcis-32208	183	47	all	all	DET
fcis-32208	183	48	events	event	NOUN
fcis-32208	183	49	within	within	ADP
fcis-32208	183	50	a	a	PRON
fcis-32208	183	51	can	can	AUX
fcis-32208	183	52	be	be	AUX
fcis-32208	183	53	labeled	label	VERB
fcis-32208	183	54	.	.	PUNCT
fcis-32208	184	1	this	this	DET
fcis-32208	184	2	study	study	NOUN
fcis-32208	184	3	employs	employ	VERB
fcis-32208	184	4	the	the	DET
fcis-32208	184	5	widely	widely	ADV
fcis-32208	184	6	used	use	VERB
fcis-32208	184	7	word2vec	word2vec	PROPN
fcis-32208	184	8	technology	technology	NOUN
fcis-32208	184	9	in	in	ADP
fcis-32208	184	10	nlp	nlp	NOUN
fcis-32208	184	11	to	to	PART
fcis-32208	184	12	convert	convert	VERB
fcis-32208	184	13	each	each	DET
fcis-32208	184	14	event	event	NOUN
fcis-32208	184	15	into	into	ADP
fcis-32208	184	16	a	a	DET
fcis-32208	184	17	continuous	continuous	ADJ
fcis-32208	184	18	vector	vector	NOUN
fcis-32208	184	19	form	form	NOUN
fcis-32208	184	20	.	.	PUNCT
fcis-32208	185	1	events	event	NOUN
fcis-32208	185	2	are	be	AUX
fcis-32208	185	3	presented	present	VERB
fcis-32208	185	4	in	in	ADP
fcis-32208	185	5	a	a	DET
fcis-32208	185	6	serialized	serialize	VERB
fcis-32208	185	7	pattern	pattern	NOUN
fcis-32208	185	8	and	and	CCONJ
fcis-32208	185	9	,	,	PUNCT
fcis-32208	185	10	following	follow	VERB
fcis-32208	185	11	embedding	embed	VERB
fcis-32208	185	12	13	13	NUM
fcis-32208	185	13	transformation	transformation	NOUN
fcis-32208	185	14	,	,	PUNCT
fcis-32208	185	15	are	be	AUX
fcis-32208	185	16	sequentially	sequentially	ADV
fcis-32208	185	17	fed	feed	VERB
fcis-32208	185	18	into	into	ADP
fcis-32208	185	19	the	the	DET
fcis-32208	185	20	lstm	lstm	PROPN
fcis-32208	185	21	and	and	CCONJ
fcis-32208	185	22	gru	gru	NOUN
fcis-32208	185	23	units	unit	NOUN
fcis-32208	185	24	.	.	PUNCT
fcis-32208	186	1	upon	upon	SCONJ
fcis-32208	186	2	inputting	inputte	VERB
fcis-32208	186	3	the	the	DET
fcis-32208	186	4	serialized	serialize	VERB
fcis-32208	186	5	event	event	NOUN
fcis-32208	186	6	pattern	pattern	NOUN
fcis-32208	186	7	into	into	ADP
fcis-32208	186	8	the	the	DET
fcis-32208	186	9	lstm	lstm	PROPN
fcis-32208	186	10	and	and	CCONJ
fcis-32208	186	11	gru	gru	PROPN
fcis-32208	186	12	,	,	PUNCT
fcis-32208	186	13	we	we	PRON
fcis-32208	186	14	obtain	obtain	VERB
fcis-32208	186	15	two	two	NUM
fcis-32208	186	16	continuous	continuous	ADJ
fcis-32208	186	17	one	one	NUM
fcis-32208	186	18	-	-	PUNCT
fcis-32208	186	19	dimensional	dimensional	ADJ
fcis-32208	186	20	vectors	vector	NOUN
fcis-32208	186	21	,	,	PUNCT
fcis-32208	186	22	lstmh	lstmh	NOUN
fcis-32208	186	23	and	and	CCONJ
fcis-32208	186	24	gruh	gruh	NOUN
fcis-32208	186	25	,	,	PUNCT
fcis-32208	186	26	which	which	PRON
fcis-32208	186	27	represent	represent	VERB
fcis-32208	186	28	the	the	DET
fcis-32208	186	29	output	output	NOUN
fcis-32208	186	30	of	of	ADP
fcis-32208	186	31	the	the	DET
fcis-32208	186	32	embedding	embed	VERB
fcis-32208	186	33	layer	layer	NOUN
fcis-32208	186	34	and	and	CCONJ
fcis-32208	186	35	are	be	AUX
fcis-32208	186	36	further	far	ADV
fcis-32208	186	37	transmitted	transmit	VERB
fcis-32208	186	38	to	to	ADP
fcis-32208	186	39	the	the	DET
fcis-32208	186	40	selfattention	selfattention	NOUN
fcis-32208	186	41	mechanism	mechanism	NOUN
fcis-32208	186	42	layer	layer	NOUN
fcis-32208	186	43	.	.	PUNCT
fcis-32208	187	1	the	the	DET
fcis-32208	187	2	key	key	ADJ
fcis-32208	187	3	component	component	NOUN
fcis-32208	187	4	of	of	ADP
fcis-32208	187	5	lstm	lstm	NOUN
fcis-32208	187	6	is	be	AUX
fcis-32208	187	7	its	its	PRON
fcis-32208	187	8	storage	storage	NOUN
fcis-32208	187	9	unit	unit	NOUN
fcis-32208	187	10	,	,	PUNCT
fcis-32208	187	11	which	which	PRON
fcis-32208	187	12	consists	consist	VERB
fcis-32208	187	13	of	of	ADP
fcis-32208	187	14	a	a	DET
fcis-32208	187	15	series	series	NOUN
fcis-32208	187	16	of	of	ADP
fcis-32208	187	17	parameters	parameter	NOUN
fcis-32208	187	18	and	and	CCONJ
fcis-32208	187	19	gate	gate	PROPN
fcis-32208	187	20	control	control	NOUN
fcis-32208	187	21	systems	system	NOUN
fcis-32208	187	22	that	that	PRON
fcis-32208	187	23	collectively	collectively	ADV
fcis-32208	187	24	determine	determine	VERB
fcis-32208	187	25	the	the	DET
fcis-32208	187	26	storage	storage	NOUN
fcis-32208	187	27	or	or	CCONJ
fcis-32208	187	28	disposal	disposal	NOUN
fcis-32208	187	29	of	of	ADP
fcis-32208	187	30	information	information	NOUN
fcis-32208	187	31	.	.	PUNCT
fcis-32208	188	1	as	as	SCONJ
fcis-32208	188	2	shown	show	VERB
fcis-32208	188	3	in	in	ADP
fcis-32208	188	4	figure	figure	NOUN
fcis-32208	188	5	4	4	NUM
fcis-32208	188	6	,	,	PUNCT
fcis-32208	188	7	each	each	DET
fcis-32208	188	8	lstm	lstm	PROPN
fcis-32208	188	9	storage	storage	NOUN
fcis-32208	188	10	unit	unit	NOUN
fcis-32208	188	11	contains	contain	VERB
fcis-32208	188	12	three	three	NUM
fcis-32208	188	13	types	type	NOUN
fcis-32208	188	14	of	of	ADP
fcis-32208	188	15	gates	gate	NOUN
fcis-32208	188	16	:	:	PUNCT
fcis-32208	188	17	input	input	NOUN
fcis-32208	188	18	gates	gate	NOUN
fcis-32208	188	19	,	,	PUNCT
fcis-32208	188	20	forget	forget	VERB
fcis-32208	188	21	gates	gate	NOUN
fcis-32208	188	22	,	,	PUNCT
fcis-32208	188	23	and	and	CCONJ
fcis-32208	188	24	output	output	NOUN
fcis-32208	188	25	gates	gate	NOUN
fcis-32208	188	26	.	.	PUNCT
fcis-32208	189	1	the	the	DET
fcis-32208	189	2	lstm	lstm	ADJ
fcis-32208	189	3	layer	layer	NOUN
fcis-32208	189	4	takes	take	VERB
fcis-32208	189	5	the	the	DET
fcis-32208	189	6	word	word	NOUN
fcis-32208	189	7	embeddings	embedding	NOUN
fcis-32208	189	8	of	of	ADP
fcis-32208	189	9	each	each	DET
fcis-32208	189	10	log	log	NOUN
fcis-32208	189	11	event	event	NOUN
fcis-32208	189	12	obtained	obtain	VERB
fcis-32208	189	13	from	from	ADP
fcis-32208	189	14	the	the	DET
fcis-32208	189	15	word	word	NOUN
fcis-32208	189	16	embedding	embed	VERB
fcis-32208	189	17	layer	layer	NOUN
fcis-32208	189	18	as	as	ADP
fcis-32208	189	19	input	input	NOUN
fcis-32208	189	20	.	.	PUNCT
fcis-32208	190	1	in	in	ADP
fcis-32208	190	2	an	an	DET
fcis-32208	190	3	lstm	lstm	ADJ
fcis-32208	190	4	unit	unit	NOUN
fcis-32208	190	5	,	,	PUNCT
fcis-32208	190	6	the	the	DET
fcis-32208	190	7	output	output	NOUN
fcis-32208	190	8	contains	contain	VERB
fcis-32208	190	9	both	both	DET
fcis-32208	190	10	unit	unit	NOUN
fcis-32208	190	11	states	state	NOUN
fcis-32208	190	12	and	and	CCONJ
fcis-32208	190	13	hidden	hidden	ADJ
fcis-32208	190	14	states	state	NOUN
fcis-32208	190	15	,	,	PUNCT
fcis-32208	190	16	which	which	PRON
fcis-32208	190	17	are	be	AUX
fcis-32208	190	18	passed	pass	VERB
fcis-32208	190	19	from	from	ADP
fcis-32208	190	20	one	one	NUM
fcis-32208	190	21	lstm	lstm	ADJ
fcis-32208	190	22	unit	unit	NOUN
fcis-32208	190	23	to	to	ADP
fcis-32208	190	24	the	the	DET
fcis-32208	190	25	next	next	ADJ
fcis-32208	190	26	,	,	PUNCT
fcis-32208	190	27	and	and	CCONJ
fcis-32208	190	28	the	the	DET
fcis-32208	190	29	hidden	hide	VERB
fcis-32208	190	30	states	state	NOUN
fcis-32208	190	31	are	be	AUX
fcis-32208	190	32	also	also	ADV
fcis-32208	190	33	fed	feed	VERB
fcis-32208	190	34	into	into	ADP
fcis-32208	190	35	the	the	DET
fcis-32208	190	36	lstm	lstm	PROPN
fcis-32208	190	37	unit	unit	NOUN
fcis-32208	190	38	of	of	ADP
fcis-32208	190	39	the	the	DET
fcis-32208	190	40	previous	previous	ADJ
fcis-32208	190	41	layer	layer	NOUN
fcis-32208	190	42	as	as	ADP
fcis-32208	190	43	input	input	NOUN
fcis-32208	190	44	.	.	PUNCT
fcis-32208	191	1	at	at	ADP
fcis-32208	191	2	each	each	DET
fcis-32208	191	3	time	time	NOUN
fcis-32208	191	4	step	step	NOUN
fcis-32208	191	5	,	,	PUNCT
fcis-32208	191	6	lstm	lstm	NOUN
fcis-32208	191	7	processes	process	VERB
fcis-32208	191	8	the	the	DET
fcis-32208	191	9	current	current	ADJ
fcis-32208	191	10	input	input	NOUN
fcis-32208	191	11	tx	tx	PROPN
fcis-32208	191	12	and	and	CCONJ
fcis-32208	191	13	the	the	DET
fcis-32208	191	14	previously	previously	ADV
fcis-32208	191	15	stored	store	VERB
fcis-32208	191	16	unit	unit	NOUN
fcis-32208	191	17	state	state	NOUN
fcis-32208	191	18	1th	1th	ADJ
fcis-32208	191	19			NOUN
fcis-32208	191	20	to	to	PART
fcis-32208	191	21	calculate	calculate	VERB
fcis-32208	191	22	the	the	DET
fcis-32208	191	23	new	new	ADJ
fcis-32208	191	24	unit	unit	NOUN
fcis-32208	191	25	state	state	NOUN
fcis-32208	191	26	.	.	PUNCT
fcis-32208	192	1	tx	tx	PROPN
fcis-32208	192	2	represents	represent	VERB
fcis-32208	192	3	event	event	NOUN
fcis-32208	192	4	word	word	NOUN
fcis-32208	192	5	embedding	embed	VERB
fcis-32208	192	6	,	,	PUNCT
fcis-32208	192	7	tc	tc	PRON
fcis-32208	192	8	represents	represent	VERB
fcis-32208	192	9	the	the	DET
fcis-32208	192	10	state	state	NOUN
fcis-32208	192	11	of	of	ADP
fcis-32208	192	12	a	a	DET
fcis-32208	192	13	certain	certain	ADJ
fcis-32208	192	14	lstm	lstm	ADJ
fcis-32208	192	15	unit	unit	NOUN
fcis-32208	192	16	in	in	ADP
fcis-32208	192	17	the	the	DET
fcis-32208	192	18	current	current	ADJ
fcis-32208	192	19	sequence	sequence	NOUN
fcis-32208	192	20	,	,	PUNCT
fcis-32208	192	21	represents	represent	VERB
fcis-32208	192	22	the	the	DET
fcis-32208	192	23	hidden	hidden	ADJ
fcis-32208	192	24	state	state	NOUN
fcis-32208	192	25	of	of	ADP
fcis-32208	192	26	the	the	DET
fcis-32208	192	27	t	t	PROPN
fcis-32208	192	28	-	-	PUNCT
fcis-32208	192	29	th	th	X
fcis-32208	192	30	lstm	lstm	NOUN
fcis-32208	192	31	in	in	ADP
fcis-32208	192	32	the	the	DET
fcis-32208	192	33	same	same	ADJ
fcis-32208	192	34	sequence	sequence	NOUN
fcis-32208	192	35	,	,	PUNCT
fcis-32208	192	36			PROPN
fcis-32208	192	37	represents	represent	VERB
fcis-32208	192	38	the	the	DET
fcis-32208	192	39	nonlinear	nonlinear	ADJ
fcis-32208	192	40	activation	activation	NOUN
fcis-32208	192	41	function	function	NOUN
fcis-32208	192	42	,	,	PUNCT
fcis-32208	192	43	and	and	CCONJ
fcis-32208	192	44	the	the	DET
fcis-32208	192	45	derivation	derivation	NOUN
fcis-32208	192	46	of	of	ADP
fcis-32208	192	47	the	the	DET
fcis-32208	192	48	output	output	NOUN
fcis-32208	192	49	of	of	ADP
fcis-32208	192	50	the	the	DET
fcis-32208	192	51	lstm	lstm	PROPN
fcis-32208	192	52	unit	unit	NOUN
fcis-32208	192	53	is	be	AUX
fcis-32208	192	54	shown	show	VERB
fcis-32208	192	55	in	in	ADP
fcis-32208	192	56	equation	equation	NOUN
fcis-32208	192	57	12	12	NUM
fcis-32208	192	58	-	-	SYM
fcis-32208	192	59	16	16	NUM
fcis-32208	192	60	.	.	PUNCT
fcis-32208	192	61			NOUN
fcis-32208	192	62	1,t	1,t	NOUN
fcis-32208	193	1	f	f	PROPN
fcis-32208	193	2	t	t	PROPN
fcis-32208	193	3	t	t	X
fcis-32208	193	4	ff	ff	NOUN
fcis-32208	193	5	w	w	PROPN
fcis-32208	193	6	h	h	PROPN
fcis-32208	193	7	x	x	PROPN
fcis-32208	193	8	b	b	PROPN
fcis-32208	193	9			PROPN
fcis-32208	193	10			ADJ
fcis-32208	193	11			NOUN
fcis-32208	193	12	(	(	PUNCT
fcis-32208	193	13	12	12	NUM
fcis-32208	193	14	)	)	PUNCT
fcis-32208	193	15			NOUN
fcis-32208	193	16	1,t	1,t	NOUN
fcis-32208	194	1	i	i	PRON
fcis-32208	194	2	t	t	PROPN
fcis-32208	194	3	t	t	PROPN
fcis-32208	194	4	ii	ii	PROPN
fcis-32208	194	5	w	w	PROPN
fcis-32208	194	6	h	h	PROPN
fcis-32208	194	7	x	x	PROPN
fcis-32208	194	8	b	b	PROPN
fcis-32208	194	9			PROPN
fcis-32208	194	10			ADJ
fcis-32208	194	11			NOUN
fcis-32208	194	12	(	(	PUNCT
fcis-32208	194	13	13	13	NUM
fcis-32208	194	14	)	)	PUNCT
fcis-32208	194	15			NOUN
fcis-32208	194	16			PROPN
fcis-32208	194	17	~	~	PUNCT
fcis-32208	194	18	1tanh	1tanh	NUM
fcis-32208	194	19	,	,	PUNCT
fcis-32208	194	20	t	t	PROPN
fcis-32208	194	21	c	c	PROPN
fcis-32208	194	22	t	t	PROPN
fcis-32208	194	23	t	t	PROPN
fcis-32208	194	24	cc	cc	PROPN
fcis-32208	194	25	w	w	PROPN
fcis-32208	194	26	h	h	PROPN
fcis-32208	194	27	x	x	NOUN
fcis-32208	194	28	b	b	NOUN
fcis-32208	194	29			ADJ
fcis-32208	194	30			NOUN
fcis-32208	194	31	(	(	PUNCT
fcis-32208	194	32	14	14	NUM
fcis-32208	194	33	)	)	PUNCT
fcis-32208	194	34	~	~	PUNCT
fcis-32208	194	35	1	1	X
fcis-32208	194	36	*	*	PUNCT
fcis-32208	194	37	*	*	PUNCT
fcis-32208	194	38	t	t	PROPN
fcis-32208	194	39	t	t	PROPN
fcis-32208	194	40	t	t	PROPN
fcis-32208	194	41	t	t	PROPN
fcis-32208	195	1	tc	tc	INTJ
fcis-32208	196	1	f	f	PROPN
fcis-32208	197	1	c	c	VERB
fcis-32208	198	1	i	i	PRON
fcis-32208	198	2	c	c	PROPN
fcis-32208	198	3			PUNCT
fcis-32208	198	4	(	(	PUNCT
fcis-32208	198	5	15	15	NUM
fcis-32208	198	6	)	)	PUNCT
fcis-32208	198	7			NOUN
fcis-32208	198	8	1,t	1,t	NOUN
fcis-32208	199	1	o	o	NOUN
fcis-32208	199	2	t	t	X
fcis-32208	199	3	t	t	X
fcis-32208	199	4	oo	oo	INTJ
fcis-32208	199	5	w	w	PROPN
fcis-32208	199	6	h	h	NOUN
fcis-32208	199	7	x	x	PROPN
fcis-32208	199	8	b	b	PROPN
fcis-32208	199	9			PROPN
fcis-32208	199	10			ADJ
fcis-32208	199	11			NOUN
fcis-32208	199	12	(	(	PUNCT
fcis-32208	199	13	16	16	NUM
fcis-32208	199	14	)	)	PUNCT
fcis-32208	199	15			NOUN
fcis-32208	200	1			PROPN
fcis-32208	200	2	*	*	PUNCT
fcis-32208	200	3	tanht	tanht	NOUN
fcis-32208	200	4	t	t	PROPN
fcis-32208	200	5	th	th	X
fcis-32208	200	6	o	o	X
fcis-32208	200	7	c	c	NOUN
fcis-32208	200	8	(	(	PUNCT
fcis-32208	200	9	17	17	NUM
fcis-32208	200	10	)	)	PUNCT
fcis-32208	200	11	fig	fig	NOUN
fcis-32208	200	12	4	4	NUM
fcis-32208	200	13	.	.	PUNCT
fcis-32208	200	14	lstm	lstm	ADJ
fcis-32208	200	15	structure	structure	NOUN
fcis-32208	200	16	in	in	ADP
fcis-32208	200	17	equation	equation	NOUN
fcis-32208	200	18	12	12	NUM
fcis-32208	200	19	,	,	PUNCT
fcis-32208	200	20	tf	tf	PROPN
fcis-32208	200	21	represents	represent	VERB
fcis-32208	200	22	the	the	DET
fcis-32208	200	23	forget	forget	NOUN
fcis-32208	200	24	gate	gate	NOUN
fcis-32208	200	25	,	,	PUNCT
fcis-32208	200	26	and	and	CCONJ
fcis-32208	200	27	the	the	DET
fcis-32208	200	28	amount	amount	NOUN
fcis-32208	200	29	of	of	ADP
fcis-32208	200	30	information	information	NOUN
fcis-32208	200	31	removed	remove	VERB
fcis-32208	200	32	from	from	ADP
fcis-32208	200	33	the	the	DET
fcis-32208	200	34	unit	unit	NOUN
fcis-32208	200	35	state	state	NOUN
fcis-32208	200	36	by	by	ADP
fcis-32208	200	37	this	this	DET
fcis-32208	200	38	gating	gate	VERB
fcis-32208	200	39	mechanism	mechanism	NOUN
fcis-32208	200	40	is	be	AUX
fcis-32208	200	41	influenced	influence	VERB
fcis-32208	200	42	by	by	ADP
fcis-32208	200	43	the	the	DET
fcis-32208	200	44	word	word	NOUN
fcis-32208	200	45	embeddings	embedding	NOUN
fcis-32208	200	46	in	in	ADP
fcis-32208	200	47	the	the	DET
fcis-32208	200	48	current	current	ADJ
fcis-32208	200	49	time	time	NOUN
fcis-32208	200	50	series	series	NOUN
fcis-32208	200	51	at	at	ADP
fcis-32208	200	52	time	time	NOUN
fcis-32208	200	53	t	t	PROPN
fcis-32208	200	54	and	and	CCONJ
fcis-32208	200	55	the	the	DET
fcis-32208	200	56	output	output	NOUN
fcis-32208	200	57	of	of	ADP
fcis-32208	200	58	the	the	DET
fcis-32208	200	59	previous	previous	ADJ
fcis-32208	200	60	unit	unit	NOUN
fcis-32208	200	61	1th	1th	ADJ
fcis-32208	200	62			PROPN
fcis-32208	200	63	.	.	PUNCT
fcis-32208	201	1	equation	equation	NOUN
fcis-32208	201	2	12	12	NUM
fcis-32208	201	3	and	and	CCONJ
fcis-32208	201	4	14	14	NUM
fcis-32208	201	5	involve	involve	VERB
fcis-32208	201	6	the	the	DET
fcis-32208	201	7	operation	operation	NOUN
fcis-32208	201	8	of	of	ADP
fcis-32208	201	9	input	input	NOUN
fcis-32208	201	10	gates	gate	NOUN
fcis-32208	201	11	,	,	PUNCT
fcis-32208	201	12	and	and	CCONJ
fcis-32208	201	13	the	the	DET
fcis-32208	201	14	new	new	ADJ
fcis-32208	201	15	candidate	candidate	NOUN
fcis-32208	201	16	value	value	NOUN
fcis-32208	201	17	vector	vector	NOUN
fcis-32208	201	18	tc	tc	NOUN
fcis-32208	201	19	is	be	AUX
fcis-32208	201	20	generated	generate	VERB
fcis-32208	201	21	and	and	CCONJ
fcis-32208	201	22	added	add	VERB
fcis-32208	201	23	through	through	ADP
fcis-32208	201	24	the	the	DET
fcis-32208	201	25	operation	operation	NOUN
fcis-32208	201	26	of	of	ADP
fcis-32208	201	27	the	the	DET
fcis-32208	201	28			PROPN
fcis-32208	201	29	function	function	NOUN
fcis-32208	201	30	and	and	CCONJ
fcis-32208	201	31	tanh	tanh	NOUN
fcis-32208	201	32	layer	layer	NOUN
fcis-32208	201	33	.	.	PUNCT
fcis-32208	202	1	multiply	multiply	VERB
fcis-32208	202	2	the	the	DET
fcis-32208	202	3	old	old	ADJ
fcis-32208	202	4	cell	cell	NOUN
fcis-32208	202	5	state	state	NOUN
fcis-32208	202	6	1tc	1tc	ADJ
fcis-32208	202	7			NOUN
fcis-32208	202	8	by	by	ADP
fcis-32208	202	9	tf	tf	NOUN
fcis-32208	202	10	to	to	PART
fcis-32208	202	11	determine	determine	VERB
fcis-32208	202	12	the	the	DET
fcis-32208	202	13	information	information	NOUN
fcis-32208	202	14	to	to	PART
fcis-32208	202	15	be	be	AUX
fcis-32208	202	16	discarded	discard	VERB
fcis-32208	202	17	.	.	PUNCT
fcis-32208	203	1	equation	equation	NOUN
fcis-32208	203	2	15	15	NUM
fcis-32208	203	3	and	and	CCONJ
fcis-32208	203	4	16	16	NUM
fcis-32208	203	5	explain	explain	VERB
fcis-32208	203	6	the	the	DET
fcis-32208	203	7	mechanism	mechanism	NOUN
fcis-32208	203	8	of	of	ADP
fcis-32208	203	9	the	the	DET
fcis-32208	203	10	output	output	NOUN
fcis-32208	203	11	gate	gate	NOUN
fcis-32208	203	12	,	,	PUNCT
fcis-32208	203	13	starting	start	VERB
fcis-32208	203	14	with	with	ADP
fcis-32208	203	15	the	the	DET
fcis-32208	203	16			PROPN
fcis-32208	203	17	function	function	NOUN
fcis-32208	203	18	to	to	PART
fcis-32208	203	19	determine	determine	VERB
fcis-32208	203	20	which	which	PRON
fcis-32208	203	21	parts	part	NOUN
fcis-32208	203	22	of	of	ADP
fcis-32208	203	23	information	information	NOUN
fcis-32208	203	24	will	will	AUX
fcis-32208	203	25	be	be	AUX
fcis-32208	203	26	output	output	NOUN
fcis-32208	203	27	,	,	PUNCT
fcis-32208	203	28	and	and	CCONJ
fcis-32208	203	29	then	then	ADV
fcis-32208	203	30	tanh	tanh	PROPN
fcis-32208	203	31	processes	process	VERB
fcis-32208	203	32	the	the	DET
fcis-32208	203	33	updated	update	VERB
fcis-32208	203	34	units	unit	NOUN
fcis-32208	203	35	to	to	PART
fcis-32208	203	36	generate	generate	VERB
fcis-32208	203	37	the	the	DET
fcis-32208	203	38	final	final	ADJ
fcis-32208	203	39	output	output	NOUN
fcis-32208	203	40	.	.	PUNCT
fcis-32208	204	1	this	this	DET
fcis-32208	204	2	process	process	NOUN
fcis-32208	204	3	is	be	AUX
fcis-32208	204	4	repeated	repeat	VERB
fcis-32208	204	5	in	in	ADP
fcis-32208	204	6	multiple	multiple	ADJ
fcis-32208	204	7	time	time	NOUN
fcis-32208	204	8	steps	step	NOUN
fcis-32208	204	9	until	until	SCONJ
fcis-32208	204	10	the	the	DET
fcis-32208	204	11	final	final	ADJ
fcis-32208	204	12	hidden	hidden	ADJ
fcis-32208	204	13	state	state	NOUN
fcis-32208	204	14	output	output	NOUN
fcis-32208	204	15	is	be	AUX
fcis-32208	204	16	generated	generate	VERB
fcis-32208	204	17	.	.	PUNCT
fcis-32208	205	1	the	the	DET
fcis-32208	205	2	main	main	ADJ
fcis-32208	205	3	purpose	purpose	NOUN
fcis-32208	205	4	of	of	ADP
fcis-32208	205	5	the	the	DET
fcis-32208	205	6	self	self	NOUN
fcis-32208	205	7	-	-	PUNCT
fcis-32208	205	8	attention	attention	NOUN
fcis-32208	205	9	mechanism	mechanism	NOUN
fcis-32208	205	10	layer	layer	NOUN
fcis-32208	205	11	is	be	AUX
fcis-32208	205	12	to	to	PART
fcis-32208	205	13	further	far	ADV
fcis-32208	205	14	process	process	VERB
fcis-32208	205	15	the	the	DET
fcis-32208	205	16	output	output	NOUN
fcis-32208	205	17	of	of	ADP
fcis-32208	205	18	the	the	DET
fcis-32208	205	19	embedding	embed	VERB
fcis-32208	205	20	module	module	NOUN
fcis-32208	205	21	.	.	PUNCT
fcis-32208	206	1	by	by	ADP
fcis-32208	206	2	learning	learn	VERB
fcis-32208	206	3	the	the	DET
fcis-32208	206	4	correlation	correlation	NOUN
fcis-32208	206	5	and	and	CCONJ
fcis-32208	206	6	importance	importance	NOUN
fcis-32208	206	7	between	between	ADP
fcis-32208	206	8	different	different	ADJ
fcis-32208	206	9	parts	part	NOUN
fcis-32208	206	10	of	of	ADP
fcis-32208	206	11	the	the	DET
fcis-32208	206	12	text	text	NOUN
fcis-32208	206	13	data	datum	NOUN
fcis-32208	206	14	,	,	PUNCT
fcis-32208	206	15	the	the	DET
fcis-32208	206	16	model	model	NOUN
fcis-32208	206	17	's	's	PART
fcis-32208	206	18	attention	attention	NOUN
fcis-32208	206	19	to	to	ADP
fcis-32208	206	20	key	key	ADJ
fcis-32208	206	21	information	information	NOUN
fcis-32208	206	22	is	be	AUX
fcis-32208	206	23	improved	improve	VERB
fcis-32208	206	24	,	,	PUNCT
fcis-32208	206	25	which	which	PRON
fcis-32208	206	26	helps	help	VERB
fcis-32208	206	27	to	to	PART
fcis-32208	206	28	generate	generate	VERB
fcis-32208	206	29	models	model	NOUN
fcis-32208	206	30	that	that	PRON
fcis-32208	206	31	more	more	ADV
fcis-32208	206	32	accurately	accurately	ADV
fcis-32208	206	33	capture	capture	VERB
fcis-32208	206	34	abnormal	abnormal	ADJ
fcis-32208	206	35	patterns	pattern	NOUN
fcis-32208	206	36	and	and	CCONJ
fcis-32208	206	37	features	feature	NOUN
fcis-32208	206	38	in	in	ADP
fcis-32208	206	39	log	log	NOUN
fcis-32208	206	40	events	event	NOUN
fcis-32208	206	41	.	.	PUNCT
fcis-32208	207	1	represented	represent	VERB
fcis-32208	207	2	by	by	ADP
fcis-32208	207	3	equation	equation	NOUN
fcis-32208	207	4	18	18	NUM
fcis-32208	207	5	to	to	PART
fcis-32208	207	6	20	20	NUM
fcis-32208	207	7	:	:	PUNCT
fcis-32208	207	8			NOUN
fcis-32208	208	1	tanhi	tanhi	PUNCT
fcis-32208	209	1	w	w	VERB
fcis-32208	209	2	i	i	PROPN
fcis-32208	209	3	aout	aout	PROPN
fcis-32208	209	4	w	w	PROPN
fcis-32208	209	5	h	h	PROPN
fcis-32208	209	6	b	b	PROPN
fcis-32208	209	7			X
fcis-32208	209	8	(	(	PUNCT
fcis-32208	209	9	18	18	NUM
fcis-32208	209	10	)	)	PUNCT
fcis-32208	209	11			NOUN
fcis-32208	209	12			PROPN
fcis-32208	209	13			NOUN
fcis-32208	209	14			PROPN
fcis-32208	209	15	exp	exp	NOUN
fcis-32208	209	16	exp	exp	NOUN
fcis-32208	209	17	t	t	NOUN
fcis-32208	210	1	i	i	PRON
fcis-32208	210	2	w	w	VERB
fcis-32208	211	1	i	i	PRON
fcis-32208	211	2	t	t	X
fcis-32208	212	1	i	i	PRON
fcis-32208	212	2	w	w	VERB
fcis-32208	212	3	out	out	ADP
fcis-32208	212	4	u	u	NOUN
fcis-32208	212	5	out	out	ADP
fcis-32208	212	6	u	u	NOUN
fcis-32208	212	7			X
fcis-32208	212	8			NUM
fcis-32208	212	9			X
fcis-32208	212	10	(	(	PUNCT
fcis-32208	212	11	19	19	NUM
fcis-32208	212	12	)	)	PUNCT
fcis-32208	213	1	n	n	NOUN
fcis-32208	213	2	i	i	PRON
fcis-32208	213	3	is	be	AUX
fcis-32208	213	4	out	out	NOUN
fcis-32208	213	5	(	(	PUNCT
fcis-32208	213	6	20	20	NUM
fcis-32208	213	7	)	)	PUNCT
fcis-32208	213	8	among	among	ADP
fcis-32208	213	9	them	they	PRON
fcis-32208	213	10	,	,	PUNCT
fcis-32208	213	11	ww	ww	PROPN
fcis-32208	213	12	and	and	CCONJ
fcis-32208	213	13	ab	ab	PROPN
fcis-32208	213	14	represent	represent	VERB
fcis-32208	213	15	weights	weight	NOUN
fcis-32208	213	16	and	and	CCONJ
fcis-32208	213	17	bias	bias	NOUN
fcis-32208	213	18	terms	term	NOUN
fcis-32208	213	19	,	,	PUNCT
fcis-32208	213	20	respectively	respectively	ADV
fcis-32208	213	21	.	.	PUNCT
fcis-32208	214	1	each	each	DET
fcis-32208	214	2	log	log	NOUN
fcis-32208	214	3	ih	ih	NOUN
fcis-32208	214	4	is	be	AUX
fcis-32208	214	5	encoded	encode	VERB
fcis-32208	214	6	as	as	ADP
fcis-32208	214	7	a	a	DET
fcis-32208	214	8	key	key	ADJ
fcis-32208	214	9	value	value	NOUN
fcis-32208	214	10	vector	vector	NOUN
fcis-32208	214	11	iout	iout	NOUN
fcis-32208	214	12	,	,	PUNCT
fcis-32208	214	13	and	and	CCONJ
fcis-32208	214	14	a	a	DET
fcis-32208	214	15	random	random	ADJ
fcis-32208	214	16	vector	vector	NOUN
fcis-32208	214	17	iout	iout	NOUN
fcis-32208	214	18	is	be	AUX
fcis-32208	214	19	initialized	initialize	VERB
fcis-32208	214	20	to	to	PART
fcis-32208	214	21	represent	represent	VERB
fcis-32208	214	22	the	the	DET
fcis-32208	214	23	features	feature	NOUN
fcis-32208	214	24	of	of	ADP
fcis-32208	214	25	the	the	DET
fcis-32208	214	26	entire	entire	ADJ
fcis-32208	214	27	sequence	sequence	NOUN
fcis-32208	214	28	.	.	PUNCT
fcis-32208	215	1	the	the	DET
fcis-32208	215	2	importance	importance	NOUN
fcis-32208	215	3	of	of	ADP
fcis-32208	215	4	each	each	DET
fcis-32208	215	5	log	log	NOUN
fcis-32208	215	6	in	in	ADP
fcis-32208	215	7	the	the	DET
fcis-32208	215	8	sequence	sequence	NOUN
fcis-32208	215	9	to	to	ADP
fcis-32208	215	10	the	the	DET
fcis-32208	215	11	entire	entire	ADJ
fcis-32208	215	12	sequence	sequence	NOUN
fcis-32208	215	13	is	be	AUX
fcis-32208	215	14	calculated	calculate	VERB
fcis-32208	215	15	i	i	ADP
fcis-32208	215	16	,	,	PUNCT
fcis-32208	215	17	and	and	CCONJ
fcis-32208	215	18	finally	finally	ADV
fcis-32208	215	19	,	,	PUNCT
fcis-32208	215	20	weighted	weight	VERB
fcis-32208	215	21	sum	sum	NOUN
fcis-32208	215	22	is	be	AUX
fcis-32208	215	23	performed	perform	VERB
fcis-32208	215	24	to	to	PART
fcis-32208	215	25	obtain	obtain	VERB
fcis-32208	215	26	the	the	DET
fcis-32208	215	27	vector	vector	NOUN
fcis-32208	215	28	representation	representation	NOUN
fcis-32208	215	29	s	s	PROPN
fcis-32208	215	30	of	of	ADP
fcis-32208	215	31	the	the	DET
fcis-32208	215	32	entire	entire	ADJ
fcis-32208	215	33	sequence	sequence	NOUN
fcis-32208	215	34	.	.	PUNCT
fcis-32208	216	1	this	this	DET
fcis-32208	216	2	article	article	NOUN
fcis-32208	216	3	uses	use	VERB
fcis-32208	216	4	lstm	lstm	PROPN
fcis-32208	216	5	and	and	CCONJ
fcis-32208	216	6	gru	gru	NOUN
fcis-32208	216	7	networks	network	NOUN
fcis-32208	216	8	to	to	PART
fcis-32208	216	9	fit	fit	VERB
fcis-32208	216	10	the	the	DET
fcis-32208	216	11	serialized	serialize	VERB
fcis-32208	216	12	event	event	NOUN
fcis-32208	216	13	patterns	pattern	NOUN
fcis-32208	216	14	.	.	PUNCT
fcis-32208	217	1	the	the	DET
fcis-32208	217	2	output	output	NOUN
fcis-32208	217	3	lstmh	lstmh	NOUN
fcis-32208	217	4	of	of	ADP
fcis-32208	217	5	lstm	lstm	NOUN
fcis-32208	217	6	serves	serve	VERB
fcis-32208	217	7	as	as	ADP
fcis-32208	217	8	a	a	DET
fcis-32208	217	9	feature	feature	NOUN
fcis-32208	217	10	transmitted	transmit	VERB
fcis-32208	217	11	to	to	ADP
fcis-32208	217	12	the	the	DET
fcis-32208	217	13	feedforward	feedforward	ADJ
fcis-32208	217	14	network	network	NOUN
fcis-32208	217	15	layer	layer	NOUN
fcis-32208	217	16	,	,	PUNCT
fcis-32208	217	17	while	while	SCONJ
fcis-32208	217	18	the	the	DET
fcis-32208	217	19	output	output	NOUN
fcis-32208	217	20	gruh	gruh	NOUN
fcis-32208	217	21	of	of	ADP
fcis-32208	217	22	gru	gru	NOUN
fcis-32208	217	23	acts	act	NOUN
fcis-32208	217	24	as	as	ADP
fcis-32208	217	25	a	a	DET
fcis-32208	217	26	weight	weight	NOUN
fcis-32208	217	27	of	of	ADP
fcis-32208	217	28	the	the	DET
fcis-32208	217	29	attention	attention	NOUN
fcis-32208	217	30	mechanism	mechanism	NOUN
fcis-32208	217	31	on	on	ADP
fcis-32208	217	32	lstmh	lstmh	NOUN
fcis-32208	217	33	to	to	ADP
fcis-32208	217	34	fine	fine	ADJ
fcis-32208	217	35	tune	tune	NOUN
fcis-32208	217	36	it	it	PRON
fcis-32208	217	37	in	in	ADP
fcis-32208	217	38	various	various	ADJ
fcis-32208	217	39	dimensions	dimension	NOUN
fcis-32208	217	40	.	.	PUNCT
fcis-32208	218	1	the	the	DET
fcis-32208	218	2	two	two	NUM
fcis-32208	218	3	are	be	AUX
fcis-32208	218	4	cascaded	cascade	VERB
fcis-32208	218	5	through	through	ADP
fcis-32208	218	6	equation	equation	NOUN
fcis-32208	218	7	21	21	NUM
fcis-32208	218	8	:	:	PUNCT
fcis-32208	218	9			PROPN
fcis-32208	218	10	maxa	maxa	NOUN
fcis-32208	218	11	gru	gru	VERB
fcis-32208	218	12	a	a	DET
fcis-32208	218	13	a	a	DET
fcis-32208	218	14	lstmo	lstmo	NOUN
fcis-32208	218	15	soft	soft	ADJ
fcis-32208	218	16	h	h	NOUN
fcis-32208	218	17	w	w	PROPN
fcis-32208	218	18	b	b	PROPN
fcis-32208	218	19	h	h	NOUN
fcis-32208	218	20			PROPN
fcis-32208	218	21			PROPN
fcis-32208	218	22	(	(	PUNCT
fcis-32208	218	23	21	21	NUM
fcis-32208	218	24	)	)	PUNCT
fcis-32208	218	25	among	among	ADP
fcis-32208	218	26	them	they	PRON
fcis-32208	218	27	,	,	PUNCT
fcis-32208	218	28	ao	ao	PROPN
fcis-32208	218	29	is	be	AUX
fcis-32208	218	30	the	the	DET
fcis-32208	218	31	output	output	NOUN
fcis-32208	218	32	of	of	ADP
fcis-32208	218	33	the	the	DET
fcis-32208	218	34	attention	attention	NOUN
fcis-32208	218	35	mechanism	mechanism	NOUN
fcis-32208	218	36	,	,	PUNCT
fcis-32208	218	37	and	and	CCONJ
fcis-32208	218	38	aw	aw	INTJ
fcis-32208	218	39	and	and	CCONJ
fcis-32208	218	40	ab	ab	PROPN
fcis-32208	218	41	are	be	AUX
fcis-32208	218	42	the	the	DET
fcis-32208	218	43	weights	weight	NOUN
fcis-32208	218	44	and	and	CCONJ
fcis-32208	218	45	bias	bias	NOUN
fcis-32208	218	46	terms	term	NOUN
fcis-32208	218	47	.	.	PUNCT
fcis-32208	219	1	subsequently	subsequently	ADV
fcis-32208	219	2	,	,	PUNCT
fcis-32208	219	3	the	the	DET
fcis-32208	219	4	output	output	NOUN
fcis-32208	219	5	of	of	ADP
fcis-32208	219	6	the	the	DET
fcis-32208	219	7	self	self	NOUN
fcis-32208	219	8	-	-	PUNCT
fcis-32208	219	9	attention	attention	NOUN
fcis-32208	219	10	mechanism	mechanism	NOUN
fcis-32208	219	11	layer	layer	NOUN
fcis-32208	219	12	is	be	AUX
fcis-32208	219	13	fed	feed	VERB
fcis-32208	219	14	to	to	ADP
fcis-32208	219	15	the	the	DET
fcis-32208	219	16	feedforward	feedforward	ADJ
fcis-32208	219	17	network	network	NOUN
fcis-32208	219	18	layer	layer	NOUN
fcis-32208	219	19	.	.	PUNCT
fcis-32208	220	1	in	in	ADP
fcis-32208	220	2	this	this	DET
fcis-32208	220	3	article	article	NOUN
fcis-32208	220	4	,	,	PUNCT
fcis-32208	220	5	the	the	DET
fcis-32208	220	6	output	output	NOUN
fcis-32208	220	7	of	of	ADP
fcis-32208	220	8	the	the	DET
fcis-32208	220	9	feedforward	feedforward	ADJ
fcis-32208	220	10	network	network	NOUN
fcis-32208	220	11	layer	layer	NOUN
fcis-32208	220	12	is	be	AUX
fcis-32208	220	13	an	an	DET
fcis-32208	220	14	mdimensional	mdimensional	ADJ
fcis-32208	220	15	one	one	NUM
fcis-32208	220	16	-	-	PUNCT
fcis-32208	220	17	dimensional	dimensional	ADJ
fcis-32208	220	18	continuous	continuous	ADJ
fcis-32208	220	19	vector	vector	NOUN
fcis-32208	220	20	go	go	NOUN
fcis-32208	220	21	,	,	PUNCT
fcis-32208	220	22	which	which	PRON
fcis-32208	220	23	means	mean	VERB
fcis-32208	220	24	the	the	DET
fcis-32208	220	25	distribution	distribution	NOUN
fcis-32208	220	26	of	of	ADP
fcis-32208	220	27	each	each	DET
fcis-32208	220	28	event	event	NOUN
fcis-32208	220	29	in	in	ADP
fcis-32208	220	30	the	the	DET
fcis-32208	220	31	event	event	NOUN
fcis-32208	220	32	set	set	VERB
fcis-32208	220	33	e	e	NOUN
fcis-32208	220	34	as	as	ADP
fcis-32208	220	35	a	a	DET
fcis-32208	220	36	generated	generate	VERB
fcis-32208	220	37	event	event	NOUN
fcis-32208	220	38	in	in	ADP
fcis-32208	220	39	the	the	DET
fcis-32208	220	40	current	current	ADJ
fcis-32208	220	41	event	event	NOUN
fcis-32208	220	42	mode	mode	NOUN
fcis-32208	220	43	.	.	PUNCT
fcis-32208	221	1	the	the	DET
fcis-32208	221	2	formula	formula	NOUN
fcis-32208	221	3	is	be	AUX
fcis-32208	221	4	:	:	PUNCT
fcis-32208	221	5			PROPN
fcis-32208	221	6			PROPN
fcis-32208	222	1	tanh	tanh	PROPN
fcis-32208	222	2	reg	reg	VERB
fcis-32208	222	3	a	a	DET
fcis-32208	222	4	f	f	NOUN
fcis-32208	222	5	f	f	X
fcis-32208	223	1	o	o	INTJ
fcis-32208	223	2	ao	ao	INTJ
fcis-32208	224	1	lu	lu	INTJ
fcis-32208	225	1	o	o	PROPN
fcis-32208	226	1	w	w	PROPN
fcis-32208	226	2	b	b	PROPN
fcis-32208	226	3	w	w	PROPN
fcis-32208	226	4	b	b	PROPN
fcis-32208	226	5			PROPN
fcis-32208	226	6			PROPN
fcis-32208	226	7			PROPN
fcis-32208	226	8	(	(	PUNCT
fcis-32208	226	9	22	22	NUM
fcis-32208	226	10	)	)	PUNCT
fcis-32208	226	11	among	among	ADP
fcis-32208	226	12	them	they	PRON
fcis-32208	226	13	,	,	PUNCT
fcis-32208	226	14	fw	fw	INTJ
fcis-32208	226	15	,	,	PUNCT
fcis-32208	226	16	ow	ow	INTJ
fcis-32208	226	17	,	,	PUNCT
fcis-32208	226	18	fb	fb	INTJ
fcis-32208	226	19	,	,	PUNCT
fcis-32208	226	20	and	and	CCONJ
fcis-32208	226	21	ab	ab	PROPN
fcis-32208	226	22	are	be	AUX
fcis-32208	226	23	the	the	DET
fcis-32208	226	24	weights	weight	NOUN
fcis-32208	226	25	and	and	CCONJ
fcis-32208	226	26	bias	bias	NOUN
fcis-32208	226	27	terms	term	NOUN
fcis-32208	226	28	in	in	ADP
fcis-32208	226	29	the	the	DET
fcis-32208	226	30	feedforward	feedforward	ADJ
fcis-32208	226	31	network	network	NOUN
fcis-32208	226	32	layer	layer	NOUN
fcis-32208	226	33	,	,	PUNCT
fcis-32208	226	34	respectively	respectively	ADV
fcis-32208	226	35	.	.	PUNCT
fcis-32208	227	1	3.5	3.5	NUM
fcis-32208	227	2	.	.	PUNCT
fcis-32208	227	3	discriminator	discriminator	NOUN
fcis-32208	227	4	model	model	NOUN
fcis-32208	227	5	in	in	ADP
fcis-32208	227	6	this	this	DET
fcis-32208	227	7	paper	paper	NOUN
fcis-32208	227	8	,	,	PUNCT
fcis-32208	227	9	the	the	DET
fcis-32208	227	10	primary	primary	ADJ
fcis-32208	227	11	task	task	NOUN
fcis-32208	227	12	of	of	ADP
fcis-32208	227	13	the	the	DET
fcis-32208	227	14	discriminative	discriminative	NOUN
fcis-32208	227	15	model	model	NOUN
fcis-32208	227	16	is	be	AUX
fcis-32208	227	17	to	to	PART
fcis-32208	227	18	calculate	calculate	VERB
fcis-32208	227	19	the	the	DET
fcis-32208	227	20	probability	probability	NOUN
fcis-32208	227	21	values	value	NOUN
fcis-32208	227	22	of	of	ADP
fcis-32208	227	23	input	input	NOUN
fcis-32208	227	24	events	event	NOUN
fcis-32208	227	25	using	use	VERB
fcis-32208	227	26	its	its	PRON
fcis-32208	227	27	14	14	NUM
fcis-32208	227	28	fully	fully	ADV
fcis-32208	227	29	connected	connected	ADJ
fcis-32208	227	30	layers	layer	NOUN
fcis-32208	227	31	.	.	PUNCT
fcis-32208	228	1	the	the	DET
fcis-32208	228	2	determination	determination	NOUN
fcis-32208	228	3	of	of	ADP
fcis-32208	228	4	normality	normality	NOUN
fcis-32208	228	5	or	or	CCONJ
fcis-32208	228	6	anomaly	anomaly	NOUN
fcis-32208	228	7	is	be	AUX
fcis-32208	228	8	made	make	VERB
fcis-32208	228	9	by	by	ADP
fcis-32208	228	10	jointly	jointly	ADV
fcis-32208	228	11	utilizing	utilize	VERB
fcis-32208	228	12	the	the	DET
fcis-32208	228	13	reconstruction	reconstruction	NOUN
fcis-32208	228	14	loss	loss	NOUN
fcis-32208	228	15	values	value	NOUN
fcis-32208	228	16	obtained	obtain	VERB
fcis-32208	228	17	from	from	ADP
fcis-32208	228	18	the	the	DET
fcis-32208	228	19	generator	generator	NOUN
fcis-32208	228	20	and	and	CCONJ
fcis-32208	228	21	the	the	DET
fcis-32208	228	22	generative	generative	ADJ
fcis-32208	228	23	loss	loss	NOUN
fcis-32208	228	24	values	value	NOUN
fcis-32208	228	25	acquired	acquire	VERB
fcis-32208	228	26	from	from	ADP
fcis-32208	228	27	the	the	DET
fcis-32208	228	28	discriminator	discriminator	NOUN
fcis-32208	228	29	,	,	PUNCT
fcis-32208	228	30	as	as	SCONJ
fcis-32208	228	31	illustrated	illustrate	VERB
fcis-32208	228	32	in	in	ADP
fcis-32208	228	33	figure	figure	NOUN
fcis-32208	228	34	5	5	NUM
fcis-32208	228	35	.	.	PUNCT
fcis-32208	228	36	fig	fig	NOUN
fcis-32208	228	37	5	5	NUM
fcis-32208	228	38	.	.	PUNCT
fcis-32208	228	39	discriminator	discriminator	NOUN
fcis-32208	228	40	model	model	NOUN
fcis-32208	228	41	architecture	architecture	NOUN
fcis-32208	228	42	.	.	PUNCT
fcis-32208	229	1	as	as	SCONJ
fcis-32208	229	2	shown	show	VERB
fcis-32208	229	3	in	in	ADP
fcis-32208	229	4	equation	equation	NOUN
fcis-32208	229	5	23	23	NUM
fcis-32208	229	6	,	,	PUNCT
fcis-32208	229	7	when	when	SCONJ
fcis-32208	229	8	the	the	DET
fcis-32208	229	9	loss	loss	NOUN
fcis-32208	229	10	values	value	NOUN
fcis-32208	229	11	of	of	ADP
fcis-32208	229	12	both	both	PRON
fcis-32208	229	13	exceed	exceed	VERB
fcis-32208	229	14	a	a	DET
fcis-32208	229	15	predetermined	predetermine	VERB
fcis-32208	229	16	threshold	threshold	NOUN
fcis-32208	229	17	,	,	PUNCT
fcis-32208	229	18	they	they	PRON
fcis-32208	229	19	are	be	AUX
fcis-32208	229	20	considered	consider	VERB
fcis-32208	229	21	anomalous	anomalous	ADJ
fcis-32208	229	22	;	;	PUNCT
fcis-32208	229	23	otherwise	otherwise	ADV
fcis-32208	229	24	,	,	PUNCT
fcis-32208	229	25	they	they	PRON
fcis-32208	229	26	are	be	AUX
fcis-32208	229	27	deemed	deem	VERB
fcis-32208	229	28	normal	normal	ADJ
fcis-32208	229	29	.	.	PUNCT
fcis-32208	230	1	the	the	DET
fcis-32208	230	2	identification	identification	NOUN
fcis-32208	230	3	process	process	NOUN
fcis-32208	230	4	follows	follow	VERB
fcis-32208	230	5	the	the	DET
fcis-32208	230	6	steps	step	NOUN
fcis-32208	230	7	below	below	ADV
fcis-32208	230	8	:	:	PUNCT
fcis-32208	230	9			PROPN
fcis-32208	230	10			PROPN
fcis-32208	230	11	tanh	tanh	PROPN
fcis-32208	230	12	relug	relug	VERB
fcis-32208	230	13	a	a	DET
fcis-32208	230	14	f	f	NOUN
fcis-32208	230	15	f	f	X
fcis-32208	230	16	o	o	NOUN
fcis-32208	230	17	a	a	VERB
fcis-32208	230	18			VERB
fcis-32208	230	19			PROPN
fcis-32208	230	20	o	o	PROPN
fcis-32208	230	21	o	o	NOUN
fcis-32208	230	22	w	w	PROPN
fcis-32208	230	23	b	b	PROPN
fcis-32208	230	24	w	w	PROPN
fcis-32208	230	25	b	b	PROPN
fcis-32208	230	26	(	(	PUNCT
fcis-32208	230	27	23	23	NUM
fcis-32208	230	28	)	)	PUNCT
fcis-32208	230	29	the	the	DET
fcis-32208	230	30	initial	initial	ADJ
fcis-32208	230	31	phase	phase	NOUN
fcis-32208	230	32	involves	involve	VERB
fcis-32208	230	33	setting	set	VERB
fcis-32208	230	34	parameters	parameter	NOUN
fcis-32208	230	35	for	for	ADP
fcis-32208	230	36	both	both	DET
fcis-32208	230	37	the	the	DET
fcis-32208	230	38	generator	generator	NOUN
fcis-32208	230	39	g	g	PROPN
fcis-32208	230	40	and	and	CCONJ
fcis-32208	230	41	discriminator	discriminator	PROPN
fcis-32208	230	42	d	d	NOUN
fcis-32208	230	43	,	,	PUNCT
fcis-32208	230	44	where	where	SCONJ
fcis-32208	230	45	the	the	DET
fcis-32208	230	46	generator	generator	NOUN
fcis-32208	230	47	combines	combine	VERB
fcis-32208	230	48	events	event	NOUN
fcis-32208	230	49	produced	produce	VERB
fcis-32208	230	50	by	by	ADP
fcis-32208	230	51	the	the	DET
fcis-32208	230	52	feed	feed	NOUN
fcis-32208	230	53	-	-	PUNCT
fcis-32208	230	54	forward	forward	NOUN
fcis-32208	230	55	network	network	NOUN
fcis-32208	230	56	layer	layer	NOUN
fcis-32208	230	57	with	with	ADP
fcis-32208	230	58	actual	actual	ADJ
fcis-32208	230	59	events	event	NOUN
fcis-32208	230	60	,	,	PUNCT
fcis-32208	230	61	which	which	PRON
fcis-32208	230	62	are	be	AUX
fcis-32208	230	63	then	then	ADV
fcis-32208	230	64	collectively	collectively	ADV
fcis-32208	230	65	input	input	VERB
fcis-32208	230	66	into	into	ADP
fcis-32208	230	67	the	the	DET
fcis-32208	230	68	discriminator	discriminator	NOUN
fcis-32208	230	69	.	.	PUNCT
fcis-32208	231	1	upon	upon	SCONJ
fcis-32208	231	2	receiving	receive	VERB
fcis-32208	231	3	feedback	feedback	NOUN
fcis-32208	231	4	from	from	ADP
fcis-32208	231	5	the	the	DET
fcis-32208	231	6	discriminator	discriminator	NOUN
fcis-32208	231	7	's	's	PART
fcis-32208	231	8	fully	fully	ADV
fcis-32208	231	9	connected	connect	VERB
fcis-32208	231	10	layer	layer	NOUN
fcis-32208	231	11	,	,	PUNCT
fcis-32208	231	12	parameters	parameter	NOUN
fcis-32208	231	13	for	for	ADP
fcis-32208	231	14	both	both	CCONJ
fcis-32208	231	15	the	the	DET
fcis-32208	231	16	generator	generator	NOUN
fcis-32208	231	17	and	and	CCONJ
fcis-32208	231	18	discriminator	discriminator	NOUN
fcis-32208	231	19	are	be	AUX
fcis-32208	231	20	updated	update	VERB
fcis-32208	231	21	.	.	PUNCT
fcis-32208	232	1	the	the	DET
fcis-32208	232	2	generator	generator	NOUN
fcis-32208	232	3	is	be	AUX
fcis-32208	232	4	trained	train	VERB
fcis-32208	232	5	to	to	PART
fcis-32208	232	6	blur	blur	VERB
fcis-32208	232	7	the	the	DET
fcis-32208	232	8	distinction	distinction	NOUN
fcis-32208	232	9	between	between	ADP
fcis-32208	232	10	real	real	ADJ
fcis-32208	232	11	and	and	CCONJ
fcis-32208	232	12	generated	generate	VERB
fcis-32208	232	13	events	event	NOUN
fcis-32208	232	14	as	as	ADV
fcis-32208	232	15	much	much	ADV
fcis-32208	232	16	as	as	ADP
fcis-32208	232	17	possible	possible	ADJ
fcis-32208	232	18	,	,	PUNCT
fcis-32208	232	19	while	while	SCONJ
fcis-32208	232	20	keeping	keep	VERB
fcis-32208	232	21	the	the	DET
fcis-32208	232	22	discriminator	discriminator	NOUN
fcis-32208	232	23	's	's	PART
fcis-32208	232	24	parameters	parameter	NOUN
fcis-32208	232	25	unchanged	unchanged	ADJ
fcis-32208	232	26	.	.	PUNCT
fcis-32208	233	1	after	after	ADP
fcis-32208	233	2	a	a	DET
fcis-32208	233	3	single	single	ADJ
fcis-32208	233	4	update	update	NOUN
fcis-32208	233	5	to	to	ADP
fcis-32208	233	6	the	the	DET
fcis-32208	233	7	discriminator	discriminator	NOUN
fcis-32208	233	8	,	,	PUNCT
fcis-32208	233	9	multiple	multiple	ADJ
fcis-32208	233	10	rounds	round	NOUN
fcis-32208	233	11	of	of	ADP
fcis-32208	233	12	updates	update	NOUN
fcis-32208	233	13	are	be	AUX
fcis-32208	233	14	applied	apply	VERB
fcis-32208	233	15	to	to	ADP
fcis-32208	233	16	the	the	DET
fcis-32208	233	17	generator	generator	NOUN
fcis-32208	233	18	.	.	PUNCT
fcis-32208	234	1	through	through	ADP
fcis-32208	234	2	several	several	ADJ
fcis-32208	234	3	iterations	iteration	NOUN
fcis-32208	234	4	of	of	ADP
fcis-32208	234	5	optimization	optimization	NOUN
fcis-32208	234	6	,	,	PUNCT
fcis-32208	234	7	the	the	DET
fcis-32208	234	8	ideal	ideal	ADJ
fcis-32208	234	9	goal	goal	NOUN
fcis-32208	234	10	is	be	AUX
fcis-32208	234	11	that	that	SCONJ
fcis-32208	234	12	the	the	DET
fcis-32208	234	13	discriminator	discriminator	NOUN
fcis-32208	234	14	becomes	become	VERB
fcis-32208	234	15	unable	unable	ADJ
fcis-32208	234	16	to	to	PART
fcis-32208	234	17	distinguish	distinguish	VERB
fcis-32208	234	18	between	between	ADP
fcis-32208	234	19	normal	normal	ADJ
fcis-32208	234	20	events	event	NOUN
fcis-32208	234	21	generated	generate	VERB
fcis-32208	234	22	by	by	ADP
fcis-32208	234	23	the	the	DET
fcis-32208	234	24	machine	machine	NOUN
fcis-32208	234	25	or	or	CCONJ
fcis-32208	234	26	those	those	PRON
fcis-32208	234	27	occurring	occur	VERB
fcis-32208	234	28	naturally	naturally	ADV
fcis-32208	234	29	,	,	PUNCT
fcis-32208	234	30	thus	thus	ADV
fcis-32208	234	31	concluding	conclude	VERB
fcis-32208	234	32	the	the	DET
fcis-32208	234	33	training	training	NOUN
fcis-32208	234	34	process	process	NOUN
fcis-32208	234	35	.	.	PUNCT
fcis-32208	235	1	based	base	VERB
fcis-32208	235	2	on	on	ADP
fcis-32208	235	3	the	the	DET
fcis-32208	235	4	description	description	NOUN
fcis-32208	235	5	of	of	ADP
fcis-32208	235	6	the	the	DET
fcis-32208	235	7	detection	detection	NOUN
fcis-32208	235	8	process	process	NOUN
fcis-32208	235	9	,	,	PUNCT
fcis-32208	235	10	the	the	DET
fcis-32208	235	11	objective	objective	NOUN
fcis-32208	235	12	for	for	ADP
fcis-32208	235	13	the	the	DET
fcis-32208	235	14	discriminator	discriminator	NOUN
fcis-32208	235	15	's	's	PART
fcis-32208	235	16	detection	detection	NOUN
fcis-32208	235	17	is	be	AUX
fcis-32208	235	18	to	to	PART
fcis-32208	235	19	sensitively	sensitively	ADV
fcis-32208	235	20	judge	judge	VERB
fcis-32208	235	21	normal	normal	ADJ
fcis-32208	235	22	or	or	CCONJ
fcis-32208	235	23	anomalous	anomalous	ADJ
fcis-32208	235	24	events	event	NOUN
fcis-32208	235	25	.	.	PUNCT
fcis-32208	236	1	the	the	DET
fcis-32208	236	2	ultimate	ultimate	ADJ
fcis-32208	236	3	goal	goal	NOUN
fcis-32208	236	4	is	be	AUX
fcis-32208	236	5	for	for	ADP
fcis-32208	236	6	all	all	DET
fcis-32208	236	7	normal	normal	ADJ
fcis-32208	236	8	events	event	NOUN
fcis-32208	236	9	to	to	PART
fcis-32208	236	10	be	be	AUX
fcis-32208	236	11	output	output	NOUN
fcis-32208	236	12	as	as	ADP
fcis-32208	236	13	1	1	NUM
fcis-32208	236	14	;	;	PUNCT
fcis-32208	236	15	for	for	ADP
fcis-32208	236	16	all	all	DET
fcis-32208	236	17	anomalous	anomalous	ADJ
fcis-32208	236	18	events	event	NOUN
fcis-32208	236	19	,	,	PUNCT
fcis-32208	236	20	the	the	DET
fcis-32208	236	21	output	output	NOUN
fcis-32208	236	22	should	should	AUX
fcis-32208	236	23	be	be	AUX
fcis-32208	236	24	0	0	NUM
fcis-32208	236	25	.	.	PUNCT
fcis-32208	237	1	this	this	DET
fcis-32208	237	2	criterion	criterion	NOUN
fcis-32208	237	3	is	be	AUX
fcis-32208	237	4	measured	measure	VERB
fcis-32208	237	5	using	use	VERB
fcis-32208	237	6	the	the	DET
fcis-32208	237	7	fully	fully	ADV
fcis-32208	237	8	connected	connect	VERB
fcis-32208	237	9	layer	layer	NOUN
fcis-32208	237	10	and	and	CCONJ
fcis-32208	237	11	its	its	PRON
fcis-32208	237	12	average	average	ADJ
fcis-32208	237	13	cross	cross	NOUN
fcis-32208	237	14	-	-	NOUN
fcis-32208	237	15	entropy	entropy	ADJ
fcis-32208	237	16	.	.	PUNCT
fcis-32208	238	1	real	real	ADJ
fcis-32208	238	2	event	event	NOUN
fcis-32208	238	3	labels	label	NOUN
fcis-32208	238	4	are	be	AUX
fcis-32208	238	5	denoted	denote	VERB
fcis-32208	238	6	as	as	ADP
fcis-32208	238	7	1	1	NUM
fcis-32208	238	8	,	,	PUNCT
fcis-32208	238	9	while	while	SCONJ
fcis-32208	238	10	events	event	NOUN
fcis-32208	238	11	generated	generate	VERB
fcis-32208	238	12	by	by	ADP
fcis-32208	238	13	the	the	DET
fcis-32208	238	14	generator	generator	NOUN
fcis-32208	238	15	are	be	AUX
fcis-32208	238	16	denoted	denote	VERB
fcis-32208	238	17	as	as	ADP
fcis-32208	238	18	0	0	NUM
fcis-32208	238	19	.	.	PUNCT
fcis-32208	239	1	for	for	ADP
fcis-32208	239	2	any	any	DET
fcis-32208	239	3	real	real	ADJ
fcis-32208	239	4	event	event	NOUN
fcis-32208	239	5	sequence	sequence	NOUN
fcis-32208	239	6	realr	realr	PROPN
fcis-32208	239	7	,	,	PUNCT
fcis-32208	239	8	the	the	DET
fcis-32208	239	9	average	average	ADJ
fcis-32208	239	10	cross	cross	NOUN
fcis-32208	239	11	-	-	NOUN
fcis-32208	239	12	entropy	entropy	NOUN
fcis-32208	239	13	between	between	ADP
fcis-32208	239	14	the	the	DET
fcis-32208	239	15	discriminator	discriminator	NOUN
fcis-32208	239	16	's	's	PART
fcis-32208	239	17	judgment	judgment	NOUN
fcis-32208	239	18	results	result	VERB
fcis-32208	239	19	for	for	ADP
fcis-32208	239	20	the	the	DET
fcis-32208	239	21	real	real	ADJ
fcis-32208	239	22	event	event	NOUN
fcis-32208	239	23	sequence	sequence	NOUN
fcis-32208	239	24	and	and	CCONJ
fcis-32208	239	25	1	1	NUM
fcis-32208	239	26	is	be	AUX
fcis-32208	239	27	calculated	calculate	VERB
fcis-32208	239	28	,	,	PUNCT
fcis-32208	239	29	as	as	SCONJ
fcis-32208	239	30	shown	show	VERB
fcis-32208	239	31	in	in	ADP
fcis-32208	239	32	equation	equation	NOUN
fcis-32208	239	33	24	24	NUM
fcis-32208	239	34	.	.	PUNCT
fcis-32208	240	1	for	for	ADP
fcis-32208	240	2	the	the	DET
fcis-32208	240	3	false	false	ADJ
fcis-32208	240	4	event	event	NOUN
fcis-32208	240	5	sequences	sequence	NOUN
fcis-32208	240	6	go	go	AUX
fcis-32208	240	7	generated	generate	VERB
fcis-32208	240	8	by	by	ADP
fcis-32208	240	9	the	the	DET
fcis-32208	240	10	generator	generator	NOUN
fcis-32208	240	11	,	,	PUNCT
fcis-32208	240	12	the	the	DET
fcis-32208	240	13	average	average	ADJ
fcis-32208	240	14	crossentropy	crossentropy	NOUN
fcis-32208	240	15	between	between	ADP
fcis-32208	240	16	the	the	DET
fcis-32208	240	17	discriminator	discriminator	NOUN
fcis-32208	240	18	's	's	PART
fcis-32208	240	19	judgment	judgment	NOUN
fcis-32208	240	20	results	result	VERB
fcis-32208	240	21	for	for	ADP
fcis-32208	240	22	the	the	DET
fcis-32208	240	23	false	false	ADJ
fcis-32208	240	24	event	event	NOUN
fcis-32208	240	25	sequence	sequence	NOUN
fcis-32208	240	26	and	and	CCONJ
fcis-32208	240	27	0	0	NUM
fcis-32208	240	28	is	be	AUX
fcis-32208	240	29	calculated	calculate	VERB
fcis-32208	240	30	,	,	PUNCT
fcis-32208	240	31	as	as	SCONJ
fcis-32208	240	32	indicated	indicate	VERB
fcis-32208	240	33	in	in	ADP
fcis-32208	240	34	equation	equation	NOUN
fcis-32208	240	35	25	25	NUM
fcis-32208	240	36	.	.	PUNCT
fcis-32208	241	1	averaging	average	VERB
fcis-32208	241	2	these	these	DET
fcis-32208	241	3	two	two	NUM
fcis-32208	241	4	types	type	NOUN
fcis-32208	241	5	of	of	ADP
fcis-32208	241	6	loss	loss	NOUN
fcis-32208	241	7	is	be	AUX
fcis-32208	241	8	due	due	ADJ
fcis-32208	241	9	to	to	ADP
fcis-32208	241	10	the	the	DET
fcis-32208	241	11	discriminator	discriminator	NOUN
fcis-32208	241	12	outputting	output	VERB
fcis-32208	241	13	a	a	DET
fcis-32208	241	14	loss	loss	NOUN
fcis-32208	241	15	value	value	NOUN
fcis-32208	241	16	for	for	ADP
fcis-32208	241	17	each	each	DET
fcis-32208	241	18	event	event	NOUN
fcis-32208	241	19	.	.	PUNCT
fcis-32208	242	1	the	the	DET
fcis-32208	242	2	total	total	ADJ
fcis-32208	242	3	loss	loss	NOUN
fcis-32208	242	4	of	of	ADP
fcis-32208	242	5	the	the	DET
fcis-32208	242	6	discriminator	discriminator	NOUN
fcis-32208	242	7	is	be	AUX
fcis-32208	242	8	the	the	DET
fcis-32208	242	9	sum	sum	NOUN
fcis-32208	242	10	of	of	ADP
fcis-32208	242	11	these	these	DET
fcis-32208	242	12	two	two	NUM
fcis-32208	242	13	losses	loss	NOUN
fcis-32208	242	14	,	,	PUNCT
fcis-32208	242	15	as	as	SCONJ
fcis-32208	242	16	presented	present	VERB
fcis-32208	242	17	in	in	ADP
fcis-32208	242	18	equation	equation	NOUN
fcis-32208	242	19	26	26	NUM
fcis-32208	242	20	.	.	PUNCT
fcis-32208	243	1			NOUN
fcis-32208	243	2			NOUN
fcis-32208	243	3			NOUN
fcis-32208	244	1			PUNCT
fcis-32208	244	2	_	_	PUNCT
fcis-32208	245	1	_	_	PUNCT
fcis-32208	246	1	_	_	PUNCT
fcis-32208	246	2	,	,	PUNCT
fcis-32208	246	3	1loss	1loss	NUM
fcis-32208	246	4	normal	normal	ADJ
fcis-32208	246	5	reald	reald	NOUN
fcis-32208	246	6	ave	ave	PROPN
fcis-32208	246	7	sigmoid	sigmoid	PROPN
fcis-32208	246	8	cross	cross	PROPN
fcis-32208	246	9	entropy	entropy	PROPN
fcis-32208	246	10	d	d	X
fcis-32208	246	11	r	r	X
fcis-32208	246	12	(	(	PUNCT
fcis-32208	246	13	24	24	NUM
fcis-32208	246	14	)	)	PUNCT
fcis-32208	246	15			NOUN
fcis-32208	246	16			NOUN
fcis-32208	246	17			NOUN
fcis-32208	246	18			PUNCT
fcis-32208	246	19	_	_	PUNCT
fcis-32208	247	1	_	_	PUNCT
fcis-32208	248	1	_	_	PUNCT
fcis-32208	248	2	,	,	PUNCT
fcis-32208	248	3	0loss	0loss	NUM
fcis-32208	248	4	abnormal	abnormal	ADJ
fcis-32208	248	5	gd	gd	NOUN
fcis-32208	248	6	ave	ave	PROPN
fcis-32208	248	7	sigmoid	sigmoid	PROPN
fcis-32208	248	8	cross	cross	PROPN
fcis-32208	248	9	entropy	entropy	PROPN
fcis-32208	248	10	d	d	X
fcis-32208	248	11	o	o	PROPN
fcis-32208	248	12	(	(	PUNCT
fcis-32208	248	13	25	25	NUM
fcis-32208	248	14	)	)	PUNCT
fcis-32208	248	15	_	_	PUNCT
fcis-32208	249	1	_	_	PUNCT
fcis-32208	249	2	loss	loss	NOUN
fcis-32208	249	3	loss	loss	VERB
fcis-32208	249	4	normal	normal	ADJ
fcis-32208	249	5	loss	loss	NOUN
fcis-32208	249	6	abnormald	abnormald	NOUN
fcis-32208	249	7	d	d	X
fcis-32208	249	8	d	d	PROPN
fcis-32208	249	9			X
fcis-32208	249	10	(	(	PUNCT
fcis-32208	249	11	26	26	NUM
fcis-32208	249	12	)	)	PUNCT
fcis-32208	249	13	for	for	ADP
fcis-32208	249	14	equation	equation	NOUN
fcis-32208	249	15	24	24	NUM
fcis-32208	249	16	,	,	PUNCT
fcis-32208	249	17	the	the	DET
fcis-32208	249	18			NOUN
fcis-32208	249	19			PUNCT
fcis-32208	249	20	_	_	PUNCT
fcis-32208	250	1	_	_	PUNCT
fcis-32208	250	2	sigmoid	sigmoid	NOUN
fcis-32208	250	3	cross	cross	PROPN
fcis-32208	250	4	entropy	entropy	PROPN
fcis-32208	250	5	unction	unction	PROPN
fcis-32208	250	6	indicates	indicate	VERB
fcis-32208	250	7	that	that	SCONJ
fcis-32208	250	8	the	the	DET
fcis-32208	250	9	output	output	NOUN
fcis-32208	250	10			NOUN
fcis-32208	250	11	reald	reald	PUNCT
fcis-32208	251	1	r	r	NOUN
fcis-32208	251	2	of	of	ADP
fcis-32208	251	3	the	the	DET
fcis-32208	251	4	discriminator	discriminator	NOUN
fcis-32208	251	5	is	be	AUX
fcis-32208	251	6	first	first	ADV
fcis-32208	251	7	activated	activate	VERB
fcis-32208	251	8	by	by	ADP
fcis-32208	251	9	the	the	DET
fcis-32208	251	10	sigmoid	sigmoid	NOUN
fcis-32208	251	11	function	function	NOUN
fcis-32208	251	12	to	to	PART
fcis-32208	251	13	ensure	ensure	VERB
fcis-32208	251	14	its	its	PRON
fcis-32208	251	15	value	value	NOUN
fcis-32208	251	16	is	be	AUX
fcis-32208	251	17	between	between	ADP
fcis-32208	251	18	0	0	NUM
fcis-32208	251	19	and	and	CCONJ
fcis-32208	251	20	1	1	NUM
fcis-32208	251	21	.	.	PUNCT
fcis-32208	252	1	then	then	ADV
fcis-32208	252	2	,	,	PUNCT
fcis-32208	252	3	the	the	DET
fcis-32208	252	4	cross	cross	NOUN
fcis-32208	252	5	entropy	entropy	NOUN
fcis-32208	252	6	between	between	ADP
fcis-32208	252	7	the	the	DET
fcis-32208	252	8	activated	activate	VERB
fcis-32208	252	9	value	value	NOUN
fcis-32208	252	10	and	and	CCONJ
fcis-32208	252	11	1	1	NUM
fcis-32208	252	12	is	be	AUX
fcis-32208	252	13	calculated	calculate	VERB
fcis-32208	252	14	,	,	PUNCT
fcis-32208	252	15	and	and	CCONJ
fcis-32208	252	16	_	_	PRON
fcis-32208	252	17	loss	loss	NOUN
fcis-32208	252	18	normald	normald	NOUN
fcis-32208	252	19	represents	represent	VERB
fcis-32208	252	20	the	the	DET
fcis-32208	252	21	loss	loss	NOUN
fcis-32208	252	22	of	of	ADP
fcis-32208	252	23	discriminating	discriminate	VERB
fcis-32208	252	24	the	the	DET
fcis-32208	252	25	true	true	ADJ
fcis-32208	252	26	event	event	NOUN
fcis-32208	252	27	as	as	ADP
fcis-32208	252	28	1	1	NUM
fcis-32208	252	29	;	;	PUNCT
fcis-32208	253	1	for	for	ADP
fcis-32208	253	2	equation	equation	NOUN
fcis-32208	253	3	25	25	NUM
fcis-32208	253	4	,	,	PUNCT
fcis-32208	253	5	the	the	DET
fcis-32208	253	6			NOUN
fcis-32208	253	7			PUNCT
fcis-32208	253	8	_	_	PUNCT
fcis-32208	254	1	_	_	PUNCT
fcis-32208	254	2	sigmoid	sigmoid	NOUN
fcis-32208	254	3	cross	cross	PROPN
fcis-32208	254	4	entropy	entropy	PROPN
fcis-32208	254	5	function	function	PROPN
fcis-32208	254	6	indicates	indicate	VERB
fcis-32208	254	7	that	that	SCONJ
fcis-32208	254	8	the	the	DET
fcis-32208	254	9	output	output	NOUN
fcis-32208	254	10			NOUN
fcis-32208	254	11	gd	gd	VERB
fcis-32208	254	12	o	o	NOUN
fcis-32208	254	13	of	of	ADP
fcis-32208	254	14	the	the	DET
fcis-32208	254	15	discriminator	discriminator	NOUN
fcis-32208	254	16	is	be	AUX
fcis-32208	254	17	first	first	ADV
fcis-32208	254	18	activated	activate	VERB
fcis-32208	254	19	to	to	PART
fcis-32208	254	20	ensure	ensure	VERB
fcis-32208	254	21	its	its	PRON
fcis-32208	254	22	value	value	NOUN
fcis-32208	254	23	is	be	AUX
fcis-32208	254	24	between	between	ADP
fcis-32208	254	25	0	0	NUM
fcis-32208	254	26	and	and	CCONJ
fcis-32208	254	27	1	1	NUM
fcis-32208	254	28	,	,	PUNCT
fcis-32208	254	29	and	and	CCONJ
fcis-32208	254	30	then	then	ADV
fcis-32208	254	31	the	the	DET
fcis-32208	254	32	cross	cross	NOUN
fcis-32208	254	33	entropy	entropy	NOUN
fcis-32208	254	34	between	between	ADP
fcis-32208	254	35	the	the	DET
fcis-32208	254	36	activated	activate	VERB
fcis-32208	254	37	value	value	NOUN
fcis-32208	254	38	and	and	CCONJ
fcis-32208	254	39	0	0	NUM
fcis-32208	254	40	is	be	AUX
fcis-32208	254	41	calculated	calculate	VERB
fcis-32208	254	42	.	.	PUNCT
fcis-32208	255	1	among	among	ADP
fcis-32208	255	2	them	they	PRON
fcis-32208	255	3	,	,	PUNCT
fcis-32208	255	4			NOUN
fcis-32208	255	5	ave	ave	AUX
fcis-32208	255	6	represents	represent	VERB
fcis-32208	255	7	the	the	DET
fcis-32208	255	8	average	average	ADJ
fcis-32208	255	9	function	function	NOUN
fcis-32208	255	10	,	,	PUNCT
fcis-32208	255	11	_	_	DET
fcis-32208	255	12	loss	loss	NOUN
fcis-32208	255	13	abnormald	abnormald	NOUN
fcis-32208	255	14	represents	represent	VERB
fcis-32208	255	15	the	the	DET
fcis-32208	255	16	loss	loss	NOUN
fcis-32208	255	17	of	of	ADP
fcis-32208	255	18	discriminator	discriminator	NOUN
fcis-32208	255	19	's	's	PART
fcis-32208	255	20	output	output	NOUN
fcis-32208	255	21	discrimination	discrimination	NOUN
fcis-32208	255	22	as	as	ADP
fcis-32208	255	23	0	0	NUM
fcis-32208	255	24	,	,	PUNCT
fcis-32208	255	25	and	and	CCONJ
fcis-32208	255	26	lossd	lossd	NOUN
fcis-32208	255	27	represents	represent	VERB
fcis-32208	255	28	the	the	DET
fcis-32208	255	29	overall	overall	ADJ
fcis-32208	255	30	loss	loss	NOUN
fcis-32208	255	31	of	of	ADP
fcis-32208	255	32	discriminator	discriminator	NOUN
fcis-32208	255	33	.	.	PUNCT
fcis-32208	256	1	in	in	ADP
fcis-32208	256	2	each	each	DET
fcis-32208	256	3	round	round	NOUN
fcis-32208	256	4	of	of	ADP
fcis-32208	256	5	detection	detection	NOUN
fcis-32208	256	6	,	,	PUNCT
fcis-32208	256	7	a	a	DET
fcis-32208	256	8	true	true	ADJ
fcis-32208	256	9	subsequence	subsequence	NOUN
fcis-32208	256	10	is	be	AUX
fcis-32208	256	11	input	input	VERB
fcis-32208	256	12	into	into	ADP
fcis-32208	256	13	the	the	DET
fcis-32208	256	14	discriminator	discriminator	NOUN
fcis-32208	256	15	,	,	PUNCT
fcis-32208	256	16	and	and	CCONJ
fcis-32208	256	17	the	the	DET
fcis-32208	256	18	generator	generator	NOUN
fcis-32208	256	19	simultaneously	simultaneously	ADV
fcis-32208	256	20	generates	generate	VERB
fcis-32208	256	21	a	a	DET
fcis-32208	256	22	false	false	ADJ
fcis-32208	256	23	event	event	NOUN
fcis-32208	256	24	subsequence	subsequence	NOUN
fcis-32208	256	25	and	and	CCONJ
fcis-32208	256	26	inputs	input	VERB
fcis-32208	256	27	it	it	PRON
fcis-32208	256	28	into	into	ADP
fcis-32208	256	29	the	the	DET
fcis-32208	256	30	discriminator	discriminator	NOUN
fcis-32208	256	31	for	for	ADP
fcis-32208	256	32	judgment	judgment	NOUN
fcis-32208	256	33	.	.	PUNCT
fcis-32208	257	1	therefore	therefore	ADV
fcis-32208	257	2	,	,	PUNCT
fcis-32208	257	3	equation	equation	NOUN
fcis-32208	257	4	26	26	NUM
fcis-32208	257	5	can	can	AUX
fcis-32208	257	6	be	be	AUX
fcis-32208	257	7	expressed	express	VERB
fcis-32208	257	8	as	as	ADP
fcis-32208	257	9	:	:	PUNCT
fcis-32208	257	10			PROPN
fcis-32208	257	11			NOUN
fcis-32208	257	12			PROPN
fcis-32208	257	13			PROPN
fcis-32208	257	14			PROPN
fcis-32208	258	1			NOUN
fcis-32208	258	2			PROPN
fcis-32208	258	3			PROPN
fcis-32208	258	4	1	1	PROPN
fcis-32208	258	5	log	log	PROPN
fcis-32208	258	6	log	log	NOUN
fcis-32208	258	7	1loss	1loss	NUM
fcis-32208	258	8	real	real	ADJ
fcis-32208	258	9	gd	gd	NOUN
fcis-32208	258	10	sigmoid	sigmoid	NOUN
fcis-32208	258	11	d	d	NOUN
fcis-32208	258	12	r	r	NOUN
fcis-32208	258	13	sigmoid	sigmoid	NOUN
fcis-32208	259	1	d	d	X
fcis-32208	259	2	o	o	NOUN
fcis-32208	259	3	n	n	CCONJ
fcis-32208	259	4			PROPN
fcis-32208	259	5			PROPN
fcis-32208	259	6			CCONJ
fcis-32208	259	7			X
fcis-32208	259	8			X
fcis-32208	259	9	(	(	PUNCT
fcis-32208	259	10	27	27	NUM
fcis-32208	259	11	)	)	PUNCT
fcis-32208	259	12	15	15	NUM
fcis-32208	259	13	this	this	PRON
fcis-32208	259	14	is	be	AUX
fcis-32208	259	15	consistent	consistent	ADJ
fcis-32208	259	16	with	with	ADP
fcis-32208	259	17	equation	equation	NOUN
fcis-32208	259	18	3	3	NUM
fcis-32208	259	19	,	,	PUNCT
fcis-32208	259	20	with	with	ADP
fcis-32208	259	21	the	the	DET
fcis-32208	259	22	only	only	ADJ
fcis-32208	259	23	difference	difference	NOUN
fcis-32208	259	24	being	be	AUX
fcis-32208	259	25	that	that	SCONJ
fcis-32208	259	26	it	it	PRON
fcis-32208	259	27	is	be	AUX
fcis-32208	259	28	equal	equal	ADJ
fcis-32208	259	29	to	to	ADP
fcis-32208	259	30	taking	take	VERB
fcis-32208	259	31	a	a	DET
fcis-32208	259	32	negative	negative	ADJ
fcis-32208	259	33	value	value	NOUN
fcis-32208	259	34	for	for	ADP
fcis-32208	259	35	the	the	DET
fcis-32208	259	36	loss	loss	NOUN
fcis-32208	259	37	function	function	NOUN
fcis-32208	259	38	of	of	ADP
fcis-32208	259	39	the	the	DET
fcis-32208	259	40	original	original	ADJ
fcis-32208	259	41	gan	gan	NOUN
fcis-32208	259	42	,	,	PUNCT
fcis-32208	259	43	corresponding	correspond	VERB
fcis-32208	259	44	to	to	ADP
fcis-32208	259	45	minimizing	minimize	VERB
fcis-32208	259	46	the	the	DET
fcis-32208	259	47	loss	loss	NOUN
fcis-32208	259	48	function	function	NOUN
fcis-32208	259	49	of	of	ADP
fcis-32208	259	50	the	the	DET
fcis-32208	259	51	discriminator	discriminator	NOUN
fcis-32208	259	52	.	.	PUNCT
fcis-32208	260	1	the	the	DET
fcis-32208	260	2	training	training	NOUN
fcis-32208	260	3	of	of	ADP
fcis-32208	260	4	the	the	DET
fcis-32208	260	5	generator	generator	NOUN
fcis-32208	260	6	aims	aim	VERB
fcis-32208	260	7	to	to	PART
fcis-32208	260	8	successfully	successfully	ADV
fcis-32208	260	9	deceive	deceive	VERB
fcis-32208	260	10	the	the	DET
fcis-32208	260	11	discriminator	discriminator	NOUN
fcis-32208	260	12	into	into	ADP
fcis-32208	260	13	classifying	classify	VERB
fcis-32208	260	14	the	the	DET
fcis-32208	260	15	generated	generate	VERB
fcis-32208	260	16	output	output	NOUN
fcis-32208	260	17	as	as	ADP
fcis-32208	260	18	real	real	ADJ
fcis-32208	260	19	,	,	PUNCT
fcis-32208	260	20	that	that	ADV
fcis-32208	260	21	is	is	ADV
fcis-32208	260	22	,	,	PUNCT
fcis-32208	260	23	the	the	DET
fcis-32208	260	24	generator	generator	NOUN
fcis-32208	260	25	aims	aim	VERB
fcis-32208	260	26	to	to	PART
fcis-32208	260	27	minimize	minimize	VERB
fcis-32208	260	28	the	the	DET
fcis-32208	260	29	cross	cross	NOUN
fcis-32208	260	30	entropy	entropy	NOUN
fcis-32208	260	31	between	between	ADP
fcis-32208	260	32	the	the	DET
fcis-32208	260	33	discriminator	discriminator	NOUN
fcis-32208	260	34	's	's	PART
fcis-32208	260	35	prediction	prediction	NOUN
fcis-32208	260	36	of	of	ADP
fcis-32208	260	37	generated	generate	VERB
fcis-32208	260	38	events	event	NOUN
fcis-32208	260	39	and	and	CCONJ
fcis-32208	260	40	the	the	DET
fcis-32208	260	41	labels	label	NOUN
fcis-32208	260	42	of	of	ADP
fcis-32208	260	43	real	real	ADJ
fcis-32208	260	44	events	event	NOUN
fcis-32208	260	45	.	.	PUNCT
fcis-32208	261	1			NOUN
fcis-32208	261	2			NOUN
fcis-32208	261	3			NOUN
fcis-32208	262	1			PROPN
fcis-32208	262	2	_	_	PUNCT
fcis-32208	263	1	_	_	PUNCT
fcis-32208	263	2	,	,	PUNCT
fcis-32208	263	3	1loss	1loss	NUM
fcis-32208	263	4	gg	gg	PROPN
fcis-32208	263	5	ave	ave	PROPN
fcis-32208	263	6	sigmoid	sigmoid	PROPN
fcis-32208	263	7	cross	cross	PROPN
fcis-32208	263	8	entropy	entropy	PROPN
fcis-32208	263	9	d	d	X
fcis-32208	263	10	o	o	PROPN
fcis-32208	263	11	(	(	PUNCT
fcis-32208	263	12	28	28	NUM
fcis-32208	263	13	)	)	PUNCT
fcis-32208	263	14	in	in	ADP
fcis-32208	263	15	each	each	DET
fcis-32208	263	16	training	training	NOUN
fcis-32208	263	17	round	round	NOUN
fcis-32208	263	18	,	,	PUNCT
fcis-32208	263	19	i.e	i.e	PROPN
fcis-32208	263	20			PROPN
fcis-32208	264	1			NOUN
fcis-32208	264	2			PROPN
fcis-32208	264	3	1	1	PROPN
fcis-32208	265	1	log	log	NOUN
fcis-32208	265	2	_	_	PUNCT
fcis-32208	265	3	loss	loss	NOUN
fcis-32208	265	4	gg	gg	NOUN
fcis-32208	265	5	sigmoid	sigmoid	NOUN
fcis-32208	265	6	d	d	X
fcis-32208	265	7	o	o	NOUN
fcis-32208	265	8	batch	batch	NOUN
fcis-32208	265	9	size	size	NOUN
fcis-32208	265	10			PROPN
fcis-32208	265	11			PROPN
fcis-32208	265	12			X
fcis-32208	265	13	(	(	PUNCT
fcis-32208	265	14	29	29	NUM
fcis-32208	265	15	)	)	PUNCT
fcis-32208	265	16	using	use	VERB
fcis-32208	265	17	the	the	DET
fcis-32208	265	18	random	random	ADJ
fcis-32208	265	19	gradient	gradient	ADJ
fcis-32208	265	20	descent	descent	NOUN
fcis-32208	265	21	algorithm	algorithm	NOUN
fcis-32208	265	22	to	to	PART
fcis-32208	265	23	update	update	VERB
fcis-32208	265	24	parameters	parameter	NOUN
fcis-32208	265	25	for	for	ADP
fcis-32208	265	26	the	the	DET
fcis-32208	265	27	discriminator	discriminator	NOUN
fcis-32208	265	28	and	and	CCONJ
fcis-32208	265	29	the	the	DET
fcis-32208	265	30	adam	adam	PROPN
fcis-32208	265	31	adaptive	adaptive	ADJ
fcis-32208	265	32	learning	learning	NOUN
fcis-32208	265	33	rate	rate	NOUN
fcis-32208	265	34	optimization	optimization	NOUN
fcis-32208	265	35	algorithm	algorithm	NOUN
fcis-32208	265	36	for	for	ADP
fcis-32208	265	37	the	the	DET
fcis-32208	265	38	generator	generator	NOUN
fcis-32208	265	39	can	can	AUX
fcis-32208	265	40	overcome	overcome	VERB
fcis-32208	265	41	the	the	DET
fcis-32208	265	42	problem	problem	NOUN
fcis-32208	265	43	of	of	ADP
fcis-32208	265	44	gradient	gradient	ADJ
fcis-32208	265	45	sparsity	sparsity	NOUN
fcis-32208	265	46	during	during	ADP
fcis-32208	265	47	the	the	DET
fcis-32208	265	48	model	model	NOUN
fcis-32208	265	49	update	update	NOUN
fcis-32208	265	50	process	process	NOUN
fcis-32208	265	51	,	,	PUNCT
fcis-32208	265	52	improve	improve	VERB
fcis-32208	265	53	convergence	convergence	NOUN
fcis-32208	265	54	speed	speed	NOUN
fcis-32208	265	55	,	,	PUNCT
fcis-32208	265	56	and	and	CCONJ
fcis-32208	265	57	to	to	ADP
fcis-32208	265	58	some	some	DET
fcis-32208	265	59	extent	extent	NOUN
fcis-32208	265	60	shorten	shorten	VERB
fcis-32208	265	61	detection	detection	NOUN
fcis-32208	265	62	time	time	NOUN
fcis-32208	265	63	.	.	PUNCT
fcis-32208	266	1	4	4	X
fcis-32208	266	2	.	.	NOUN
fcis-32208	266	3	results	result	NOUN
fcis-32208	266	4	and	and	CCONJ
fcis-32208	266	5	discussion	discussion	NOUN
fcis-32208	266	6	in	in	ADP
fcis-32208	266	7	this	this	DET
fcis-32208	266	8	section	section	NOUN
fcis-32208	266	9	,	,	PUNCT
fcis-32208	266	10	we	we	PRON
fcis-32208	266	11	will	will	AUX
fcis-32208	266	12	first	first	ADV
fcis-32208	266	13	outline	outline	VERB
fcis-32208	266	14	the	the	DET
fcis-32208	266	15	evaluation	evaluation	NOUN
fcis-32208	266	16	metrics	metric	NOUN
fcis-32208	266	17	employed	employ	VERB
fcis-32208	266	18	in	in	ADP
fcis-32208	266	19	the	the	DET
fcis-32208	266	20	experiments	experiment	NOUN
fcis-32208	266	21	and	and	CCONJ
fcis-32208	266	22	the	the	DET
fcis-32208	266	23	datasets	dataset	NOUN
fcis-32208	266	24	utilized	utilize	VERB
fcis-32208	266	25	.	.	PUNCT
fcis-32208	267	1	subsequently	subsequently	ADV
fcis-32208	267	2	,	,	PUNCT
fcis-32208	267	3	a	a	DET
fcis-32208	267	4	detailed	detailed	ADJ
fcis-32208	267	5	comparison	comparison	NOUN
fcis-32208	267	6	of	of	ADP
fcis-32208	267	7	the	the	DET
fcis-32208	267	8	performance	performance	NOUN
fcis-32208	267	9	of	of	ADP
fcis-32208	267	10	our	our	PRON
fcis-32208	267	11	proposed	propose	VERB
fcis-32208	267	12	method	method	NOUN
fcis-32208	267	13	on	on	ADP
fcis-32208	267	14	social	social	ADJ
fcis-32208	267	15	network	network	NOUN
fcis-32208	267	16	datasets	dataset	NOUN
fcis-32208	267	17	with	with	ADP
fcis-32208	267	18	that	that	PRON
fcis-32208	267	19	of	of	ADP
fcis-32208	267	20	existing	exist	VERB
fcis-32208	267	21	methods	method	NOUN
fcis-32208	267	22	will	will	AUX
fcis-32208	267	23	be	be	AUX
fcis-32208	267	24	presented	present	VERB
fcis-32208	267	25	.	.	PUNCT
fcis-32208	268	1	the	the	DET
fcis-32208	268	2	experimental	experimental	ADJ
fcis-32208	268	3	platform	platform	NOUN
fcis-32208	268	4	was	be	AUX
fcis-32208	268	5	based	base	VERB
fcis-32208	268	6	on	on	ADP
fcis-32208	268	7	python	python	PROPN
fcis-32208	268	8	3.9	3.9	NUM
fcis-32208	268	9	,	,	PUNCT
fcis-32208	268	10	and	and	CCONJ
fcis-32208	268	11	all	all	DET
fcis-32208	268	12	experiments	experiment	NOUN
fcis-32208	268	13	were	be	AUX
fcis-32208	268	14	conducted	conduct	VERB
fcis-32208	268	15	on	on	ADP
fcis-32208	268	16	a	a	DET
fcis-32208	268	17	single	single	ADJ
fcis-32208	268	18	computer	computer	NOUN
fcis-32208	268	19	equipped	equip	VERB
fcis-32208	268	20	with	with	ADP
fcis-32208	268	21	an	an	DET
fcis-32208	268	22	intel(r	intel(r	NOUN
fcis-32208	268	23	)	)	PUNCT
fcis-32208	268	24	core(tm	core(tm	NOUN
fcis-32208	268	25	)	)	PUNCT
fcis-32208	268	26	i7	i7	ADJ
fcis-32208	268	27	processor	processor	NOUN
fcis-32208	268	28	(	(	PUNCT
fcis-32208	268	29	2.9ghz	2.9ghz	NUM
fcis-32208	268	30	)	)	PUNCT
fcis-32208	268	31	,	,	PUNCT
fcis-32208	268	32	16	16	NUM
fcis-32208	268	33	gb	gb	NOUN
fcis-32208	268	34	of	of	ADP
fcis-32208	268	35	ram	ram	NOUN
fcis-32208	268	36	,	,	PUNCT
fcis-32208	268	37	and	and	CCONJ
fcis-32208	268	38	the	the	DET
fcis-32208	268	39	windows	window	NOUN
fcis-32208	268	40	10	10	NUM
fcis-32208	268	41	operating	operating	NOUN
fcis-32208	268	42	system	system	NOUN
fcis-32208	268	43	.	.	PUNCT
fcis-32208	269	1	in	in	ADP
fcis-32208	269	2	addition	addition	NOUN
fcis-32208	269	3	,	,	PUNCT
fcis-32208	269	4	various	various	ADJ
fcis-32208	269	5	parameters	parameter	NOUN
fcis-32208	269	6	within	within	ADP
fcis-32208	269	7	the	the	DET
fcis-32208	269	8	model	model	NOUN
fcis-32208	269	9	were	be	AUX
fcis-32208	269	10	examined	examine	VERB
fcis-32208	269	11	.	.	PUNCT
fcis-32208	270	1	the	the	DET
fcis-32208	270	2	default	default	NOUN
fcis-32208	270	3	values	value	NOUN
fcis-32208	270	4	of	of	ADP
fcis-32208	270	5	the	the	DET
fcis-32208	270	6	parameters	parameter	NOUN
fcis-32208	270	7	used	use	VERB
fcis-32208	270	8	in	in	ADP
fcis-32208	270	9	this	this	DET
fcis-32208	270	10	study	study	NOUN
fcis-32208	270	11	are	be	AUX
fcis-32208	270	12	presented	present	VERB
fcis-32208	270	13	in	in	ADP
fcis-32208	270	14	table	table	NOUN
fcis-32208	270	15	2	2	NUM
fcis-32208	270	16	.	.	PUNCT
fcis-32208	270	17	table	table	NOUN
fcis-32208	270	18	2	2	NUM
fcis-32208	270	19	.	.	PUNCT
fcis-32208	270	20	experimental	experimental	ADJ
fcis-32208	270	21	parameter	parameter	NOUN
fcis-32208	270	22	values	value	NOUN
fcis-32208	270	23	hyperparameter	hyperparameter	NOUN
fcis-32208	270	24	value	value	NOUN
fcis-32208	270	25	learning	learn	VERB
fcis-32208	270	26	rate	rate	NOUN
fcis-32208	270	27	0.001	0.001	NUM
fcis-32208	270	28	iterations	iteration	NOUN
fcis-32208	270	29	300	300	NUM
fcis-32208	270	30	number	number	NOUN
fcis-32208	270	31	of	of	ADP
fcis-32208	270	32	lstm	lstm	ADJ
fcis-32208	270	33	network	network	NOUN
fcis-32208	270	34	layers	layer	NOUN
fcis-32208	270	35	2	2	NUM
fcis-32208	270	36	sliding	sliding	NOUN
fcis-32208	270	37	window	window	NOUN
fcis-32208	270	38	size	size	NOUN
fcis-32208	270	39	5	5	NUM
fcis-32208	270	40	set	set	NOUN
fcis-32208	270	41	threshold	threshold	NOUN
fcis-32208	270	42	0.60	0.60	NUM
fcis-32208	270	43	4.1	4.1	NUM
fcis-32208	270	44	.	.	PUNCT
fcis-32208	271	1	evaluation	evaluation	NOUN
fcis-32208	271	2	metrics	metric	NOUN
fcis-32208	271	3	precision	precision	NOUN
fcis-32208	271	4	,	,	PUNCT
fcis-32208	271	5	recall	recall	NOUN
fcis-32208	271	6	,	,	PUNCT
fcis-32208	271	7	and	and	CCONJ
fcis-32208	271	8	f1	f1	NOUN
fcis-32208	271	9	score	score	NOUN
fcis-32208	271	10	were	be	AUX
fcis-32208	271	11	selected	select	VERB
fcis-32208	271	12	as	as	ADP
fcis-32208	271	13	the	the	DET
fcis-32208	271	14	evaluation	evaluation	NOUN
fcis-32208	271	15	metrics	metric	NOUN
fcis-32208	271	16	.	.	PUNCT
fcis-32208	272	1	these	these	DET
fcis-32208	272	2	three	three	NUM
fcis-32208	272	3	metrics	metric	NOUN
fcis-32208	272	4	are	be	AUX
fcis-32208	272	5	derived	derive	VERB
fcis-32208	272	6	from	from	ADP
fcis-32208	272	7	the	the	DET
fcis-32208	272	8	confusion	confusion	NOUN
fcis-32208	272	9	matrix	matrix	NOUN
fcis-32208	272	10	,	,	PUNCT
fcis-32208	272	11	which	which	PRON
fcis-32208	272	12	categorizes	categorize	VERB
fcis-32208	272	13	results	result	NOUN
fcis-32208	272	14	into	into	ADP
fcis-32208	272	15	four	four	NUM
fcis-32208	272	16	types	type	NOUN
fcis-32208	272	17	:	:	PUNCT
fcis-32208	272	18	true	true	ADJ
fcis-32208	272	19	positives	positive	NOUN
fcis-32208	272	20	(	(	PUNCT
fcis-32208	272	21	tp	tp	NOUN
fcis-32208	272	22	)	)	PUNCT
fcis-32208	272	23	are	be	AUX
fcis-32208	272	24	instances	instance	NOUN
fcis-32208	272	25	correctly	correctly	ADV
fcis-32208	272	26	identified	identify	VERB
fcis-32208	272	27	as	as	ADP
fcis-32208	272	28	positive	positive	ADJ
fcis-32208	272	29	.	.	PUNCT
fcis-32208	273	1	false	false	ADJ
fcis-32208	273	2	positives	positive	NOUN
fcis-32208	273	3	(	(	PUNCT
fcis-32208	273	4	fp	fp	X
fcis-32208	273	5	)	)	PUNCT
fcis-32208	273	6	refer	refer	VERB
fcis-32208	273	7	to	to	ADP
fcis-32208	273	8	negative	negative	ADJ
fcis-32208	273	9	instances	instance	NOUN
fcis-32208	273	10	incorrectly	incorrectly	ADV
fcis-32208	273	11	identified	identify	VERB
fcis-32208	273	12	as	as	ADP
fcis-32208	273	13	positive	positive	ADJ
fcis-32208	273	14	.	.	PUNCT
fcis-32208	274	1	true	true	ADJ
fcis-32208	274	2	negatives	negative	NOUN
fcis-32208	274	3	(	(	PUNCT
fcis-32208	274	4	tn	tn	NOUN
fcis-32208	274	5	)	)	PUNCT
fcis-32208	274	6	are	be	AUX
fcis-32208	274	7	instances	instance	NOUN
fcis-32208	274	8	correctly	correctly	ADV
fcis-32208	274	9	identified	identify	VERB
fcis-32208	274	10	as	as	ADP
fcis-32208	274	11	negative	negative	ADJ
fcis-32208	274	12	.	.	PUNCT
fcis-32208	275	1	finally	finally	ADV
fcis-32208	275	2	,	,	PUNCT
fcis-32208	275	3	false	false	ADJ
fcis-32208	275	4	negatives	negative	NOUN
fcis-32208	275	5	(	(	PUNCT
fcis-32208	275	6	fn	fn	NOUN
fcis-32208	275	7	)	)	PUNCT
fcis-32208	275	8	refer	refer	VERB
fcis-32208	275	9	to	to	ADP
fcis-32208	275	10	positive	positive	ADJ
fcis-32208	275	11	instances	instance	NOUN
fcis-32208	275	12	incorrectly	incorrectly	ADV
fcis-32208	275	13	identified	identify	VERB
fcis-32208	275	14	as	as	ADP
fcis-32208	275	15	negative	negative	ADJ
fcis-32208	275	16	.	.	PUNCT
fcis-32208	276	1	precision	precision	NOUN
fcis-32208	276	2	is	be	AUX
fcis-32208	276	3	calculated	calculate	VERB
fcis-32208	276	4	as	as	ADP
fcis-32208	276	5	the	the	DET
fcis-32208	276	6	percentage	percentage	NOUN
fcis-32208	276	7	of	of	ADP
fcis-32208	276	8	correctly	correctly	ADV
fcis-32208	276	9	predicted	predict	VERB
fcis-32208	276	10	positive	positive	ADJ
fcis-32208	276	11	samples	sample	NOUN
fcis-32208	276	12	out	out	ADP
fcis-32208	276	13	of	of	ADP
fcis-32208	276	14	all	all	PRON
fcis-32208	276	15	predicted	predict	VERB
fcis-32208	276	16	positive	positive	ADJ
fcis-32208	276	17	samples	sample	NOUN
fcis-32208	276	18	.	.	PUNCT
fcis-32208	277	1	recall	recall	NOUN
fcis-32208	277	2	is	be	AUX
fcis-32208	277	3	calculated	calculate	VERB
fcis-32208	277	4	as	as	ADP
fcis-32208	277	5	the	the	DET
fcis-32208	277	6	percentage	percentage	NOUN
fcis-32208	277	7	of	of	ADP
fcis-32208	277	8	correctly	correctly	ADV
fcis-32208	277	9	predicted	predict	VERB
fcis-32208	277	10	positive	positive	ADJ
fcis-32208	277	11	samples	sample	NOUN
fcis-32208	277	12	out	out	ADP
fcis-32208	277	13	of	of	ADP
fcis-32208	277	14	all	all	DET
fcis-32208	277	15	actual	actual	ADJ
fcis-32208	277	16	positive	positive	ADJ
fcis-32208	277	17	samples	sample	NOUN
fcis-32208	277	18	.	.	PUNCT
fcis-32208	278	1	the	the	DET
fcis-32208	278	2	f1	f1	PROPN
fcis-32208	278	3	score	score	NOUN
fcis-32208	278	4	is	be	AUX
fcis-32208	278	5	a	a	DET
fcis-32208	278	6	metric	metric	NOUN
fcis-32208	278	7	that	that	PRON
fcis-32208	278	8	calculates	calculate	VERB
fcis-32208	278	9	the	the	DET
fcis-32208	278	10	harmonic	harmonic	ADJ
fcis-32208	278	11	mean	mean	NOUN
fcis-32208	278	12	of	of	ADP
fcis-32208	278	13	precision	precision	NOUN
fcis-32208	278	14	and	and	CCONJ
fcis-32208	278	15	recall	recall	NOUN
fcis-32208	278	16	.	.	PUNCT
fcis-32208	279	1	pr	pr	PROPN
fcis-32208	279	2	tp	tp	PROPN
fcis-32208	279	3	ecision	ecision	PROPN
fcis-32208	279	4	tp	tp	ADP
fcis-32208	279	5	fp	fp	PROPN
fcis-32208	279	6			PROPN
fcis-32208	279	7			X
fcis-32208	279	8	(	(	PUNCT
fcis-32208	279	9	30	30	NUM
fcis-32208	279	10	)	)	PUNCT
fcis-32208	279	11	re	re	VERB
fcis-32208	279	12	tp	tp	PART
fcis-32208	279	13	call	call	VERB
fcis-32208	279	14	tp	tp	ADP
fcis-32208	279	15	fn	fn	PROPN
fcis-32208	280	1			PROPN
fcis-32208	280	2			PUNCT
fcis-32208	280	3	(	(	PUNCT
fcis-32208	280	4	31	31	NUM
fcis-32208	280	5	)	)	PUNCT
fcis-32208	280	6	2*pr	2*pr	NUM
fcis-32208	280	7	*	*	PUNCT
fcis-32208	280	8	re	re	PROPN
fcis-32208	280	9	1	1	NUM
fcis-32208	280	10	pr	pr	X
fcis-32208	280	11	re	re	VERB
fcis-32208	280	12	ecision	ecision	NOUN
fcis-32208	280	13	call	call	VERB
fcis-32208	280	14	f	f	PROPN
fcis-32208	280	15	score	score	NOUN
fcis-32208	280	16	ecision	ecision	NOUN
fcis-32208	280	17	call	call	VERB
fcis-32208	280	18			PROPN
fcis-32208	280	19			PRON
fcis-32208	280	20			PUNCT
fcis-32208	280	21	(	(	PUNCT
fcis-32208	280	22	32	32	NUM
fcis-32208	280	23	)	)	PUNCT
fcis-32208	280	24	4.2	4.2	NUM
fcis-32208	280	25	.	.	PUNCT
fcis-32208	281	1	description	description	NOUN
fcis-32208	281	2	of	of	ADP
fcis-32208	281	3	datasets	dataset	NOUN
fcis-32208	281	4	experiments	experiment	NOUN
fcis-32208	281	5	were	be	AUX
fcis-32208	281	6	conducted	conduct	VERB
fcis-32208	281	7	on	on	ADP
fcis-32208	281	8	two	two	NUM
fcis-32208	281	9	datasets	dataset	NOUN
fcis-32208	281	10	:	:	PUNCT
fcis-32208	281	11	the	the	DET
fcis-32208	281	12	hdfs	hdfs	NOUN
fcis-32208	281	13	dataset	dataset	NOUN
fcis-32208	281	14	and	and	CCONJ
fcis-32208	281	15	the	the	DET
fcis-32208	281	16	unsw	unsw	PROPN
fcis-32208	281	17	-	-	PUNCT
fcis-32208	281	18	nb15	nb15	PROPN
fcis-32208	281	19	dataset	dataset	NOUN
fcis-32208	281	20	.	.	PUNCT
fcis-32208	282	1	below	below	ADV
fcis-32208	282	2	are	be	AUX
fcis-32208	282	3	the	the	DET
fcis-32208	282	4	detailed	detailed	ADJ
fcis-32208	282	5	descriptions	description	NOUN
fcis-32208	282	6	of	of	ADP
fcis-32208	282	7	these	these	DET
fcis-32208	282	8	datasets	dataset	NOUN
fcis-32208	282	9	:	:	PUNCT
fcis-32208	282	10	1	1	X
fcis-32208	282	11	.	.	X
fcis-32208	282	12	hdfs	hdfs	PROPN
fcis-32208	282	13	dataset	dataset	PROPN
fcis-32208	283	1	[	[	X
fcis-32208	283	2	26	26	NUM
fcis-32208	283	3	]	]	X
fcis-32208	283	4	:	:	PUNCT
fcis-32208	283	5	comprising	comprise	VERB
fcis-32208	283	6	11,175,629	11,175,629	NUM
fcis-32208	283	7	log	log	NOUN
fcis-32208	283	8	entries	entry	NOUN
fcis-32208	283	9	collected	collect	VERB
fcis-32208	283	10	from	from	ADP
fcis-32208	283	11	over	over	ADP
fcis-32208	283	12	200	200	NUM
fcis-32208	283	13	amazon	amazon	NOUN
fcis-32208	283	14	ec2	ec2	NOUN
fcis-32208	283	15	platforms	platform	NOUN
fcis-32208	283	16	,	,	PUNCT
fcis-32208	283	17	the	the	DET
fcis-32208	283	18	hdfs	hdfs	NOUN
fcis-32208	283	19	dataset	dataset	NOUN
fcis-32208	283	20	was	be	AUX
fcis-32208	283	21	manually	manually	ADV
fcis-32208	283	22	annotated	annotate	VERB
fcis-32208	283	23	through	through	ADP
fcis-32208	283	24	rules	rule	NOUN
fcis-32208	283	25	rafted	raft	VERB
fcis-32208	283	26	to	to	PART
fcis-32208	283	27	identify	identify	VERB
fcis-32208	283	28	anomalies	anomaly	NOUN
fcis-32208	283	29	.	.	PUNCT
fcis-32208	284	1	it	it	PRON
fcis-32208	284	2	contains	contain	VERB
fcis-32208	284	3	575,061	575,061	NUM
fcis-32208	284	4	log	log	NOUN
fcis-32208	284	5	blocks	block	NOUN
fcis-32208	284	6	,	,	PUNCT
fcis-32208	284	7	out	out	ADP
fcis-32208	284	8	of	of	ADP
fcis-32208	284	9	which	which	PRON
fcis-32208	284	10	16,838	16,838	NUM
fcis-32208	284	11	blocks	block	NOUN
fcis-32208	284	12	are	be	AUX
fcis-32208	284	13	marked	mark	VERB
fcis-32208	284	14	as	as	ADP
fcis-32208	284	15	anomalous	anomalous	ADJ
fcis-32208	284	16	.	.	PUNCT
fcis-32208	285	1	2	2	X
fcis-32208	285	2	.	.	X
fcis-32208	285	3	unsw	unsw	NOUN
fcis-32208	285	4	-	-	PUNCT
fcis-32208	285	5	nb15	nb15	PROPN
fcis-32208	285	6	dataset	dataset	VERB
fcis-32208	285	7	[	[	PUNCT
fcis-32208	285	8	27	27	NUM
fcis-32208	285	9	]	]	X
fcis-32208	285	10	:	:	PUNCT
fcis-32208	285	11	this	this	DET
fcis-32208	285	12	dataset	dataset	NOUN
fcis-32208	285	13	captures	capture	VERB
fcis-32208	285	14	millions	million	NOUN
fcis-32208	285	15	of	of	ADP
fcis-32208	285	16	records	record	NOUN
fcis-32208	285	17	from	from	ADP
fcis-32208	285	18	digital	digital	ADJ
fcis-32208	285	19	social	social	ADJ
fcis-32208	285	20	media	medium	NOUN
fcis-32208	285	21	and	and	CCONJ
fcis-32208	285	22	other	other	ADJ
fcis-32208	285	23	sources	source	NOUN
fcis-32208	285	24	for	for	ADP
fcis-32208	285	25	predicting	predict	VERB
fcis-32208	285	26	,	,	PUNCT
fcis-32208	285	27	tracking	tracking	NOUN
fcis-32208	285	28	,	,	PUNCT
fcis-32208	285	29	and	and	CCONJ
fcis-32208	285	30	responding	respond	VERB
fcis-32208	285	31	to	to	ADP
fcis-32208	285	32	global	global	ADJ
fcis-32208	285	33	events	event	NOUN
fcis-32208	285	34	.	.	PUNCT
fcis-32208	286	1	it	it	PRON
fcis-32208	286	2	is	be	AUX
fcis-32208	286	3	primarily	primarily	ADV
fcis-32208	286	4	used	use	VERB
fcis-32208	286	5	to	to	PART
fcis-32208	286	6	generate	generate	VERB
fcis-32208	286	7	mixed	mixed	ADJ
fcis-32208	286	8	data	datum	NOUN
fcis-32208	286	9	of	of	ADP
fcis-32208	286	10	modern	modern	ADJ
fcis-32208	286	11	normal	normal	ADJ
fcis-32208	286	12	activities	activity	NOUN
fcis-32208	286	13	and	and	CCONJ
fcis-32208	286	14	synthetic	synthetic	ADJ
fcis-32208	286	15	contemporary	contemporary	ADJ
fcis-32208	286	16	behavior	behavior	NOUN
fcis-32208	286	17	attacks	attack	NOUN
fcis-32208	286	18	,	,	PUNCT
fcis-32208	286	19	totaling	total	VERB
fcis-32208	286	20	2,540,044	2,540,044	NUM
fcis-32208	286	21	data	datum	NOUN
fcis-32208	286	22	logs	log	NOUN
fcis-32208	286	23	.	.	PUNCT
fcis-32208	287	1	4.3	4.3	NUM
fcis-32208	287	2	.	.	PUNCT
fcis-32208	287	3	baseline	baseline	PROPN
fcis-32208	287	4	method	method	NOUN
fcis-32208	287	5	our	our	PRON
fcis-32208	287	6	proposed	propose	VERB
fcis-32208	287	7	method	method	NOUN
fcis-32208	287	8	was	be	AUX
fcis-32208	287	9	compared	compare	VERB
fcis-32208	287	10	with	with	ADP
fcis-32208	287	11	four	four	NUM
fcis-32208	287	12	baseline	baseline	ADJ
fcis-32208	287	13	approaches	approach	NOUN
fcis-32208	287	14	,	,	PUNCT
fcis-32208	287	15	summarized	summarize	VERB
fcis-32208	287	16	as	as	SCONJ
fcis-32208	287	17	follows	follow	VERB
fcis-32208	287	18	:	:	PUNCT
fcis-32208	287	19	mabed	mabed	VERB
fcis-32208	288	1	[	[	X
fcis-32208	288	2	28	28	NUM
fcis-32208	288	3	]	]	X
fcis-32208	288	4	:	:	PUNCT
fcis-32208	288	5	a	a	DET
fcis-32208	288	6	statistical	statistical	ADJ
fcis-32208	288	7	method	method	NOUN
fcis-32208	288	8	for	for	ADP
fcis-32208	288	9	log	log	NOUN
fcis-32208	288	10	event	event	NOUN
fcis-32208	288	11	detection	detection	NOUN
fcis-32208	288	12	based	base	VERB
fcis-32208	288	13	on	on	ADP
fcis-32208	288	14	mention	mention	NOUN
fcis-32208	288	15	anomaly	anomaly	NOUN
fcis-32208	288	16	analysis	analysis	NOUN
fcis-32208	288	17	,	,	PUNCT
fcis-32208	288	18	mabed	mabed	ADJ
fcis-32208	288	19	relies	rely	VERB
fcis-32208	288	20	solely	solely	ADV
fcis-32208	288	21	on	on	ADP
fcis-32208	288	22	tweets	tweet	NOUN
fcis-32208	288	23	and	and	CCONJ
fcis-32208	288	24	utilizes	utilize	VERB
fcis-32208	288	25	the	the	DET
fcis-32208	288	26	frequency	frequency	NOUN
fcis-32208	288	27	of	of	ADP
fcis-32208	288	28	dynamically	dynamically	ADV
fcis-32208	288	29	inserted	insert	VERB
fcis-32208	288	30	links	link	NOUN
fcis-32208	288	31	(	(	PUNCT
fcis-32208	288	32	mentions	mention	NOUN
fcis-32208	288	33	)	)	PUNCT
fcis-32208	288	34	in	in	ADP
fcis-32208	288	35	tweets	tweet	NOUN
fcis-32208	288	36	to	to	PART
fcis-32208	288	37	detect	detect	VERB
fcis-32208	288	38	significant	significant	ADJ
fcis-32208	288	39	events	event	NOUN
fcis-32208	288	40	and	and	CCONJ
fcis-32208	288	41	estimate	estimate	VERB
fcis-32208	288	42	their	their	PRON
fcis-32208	288	43	impact	impact	NOUN
fcis-32208	288	44	on	on	ADP
fcis-32208	288	45	the	the	DET
fcis-32208	288	46	population	population	NOUN
fcis-32208	288	47	.	.	PUNCT
fcis-32208	289	1	its	its	PRON
fcis-32208	289	2	uniqueness	uniqueness	NOUN
fcis-32208	289	3	lies	lie	VERB
fcis-32208	289	4	in	in	ADP
fcis-32208	289	5	dynamically	dynamically	ADV
fcis-32208	289	6	estimating	estimate	VERB
fcis-32208	289	7	the	the	DET
fcis-32208	289	8	time	time	NOUN
fcis-32208	289	9	frame	frame	NOUN
fcis-32208	289	10	for	for	ADP
fcis-32208	289	11	discussing	discuss	VERB
fcis-32208	289	12	each	each	DET
fcis-32208	289	13	event	event	NOUN
fcis-32208	289	14	,	,	PUNCT
fcis-32208	289	15	instead	instead	ADV
fcis-32208	289	16	of	of	ADP
fcis-32208	289	17	assuming	assume	VERB
fcis-32208	289	18	a	a	DET
fcis-32208	289	19	predefined	predefine	VERB
fcis-32208	289	20	fixed	fix	VERB
fcis-32208	289	21	duration	duration	NOUN
fcis-32208	289	22	for	for	ADP
fcis-32208	289	23	all	all	DET
fcis-32208	289	24	events	event	NOUN
fcis-32208	289	25	.	.	PUNCT
fcis-32208	290	1	rl	rl	VERB
fcis-32208	290	2	-	-	PUNCT
fcis-32208	290	3	lda	lda	PROPN
fcis-32208	291	1	[	[	X
fcis-32208	291	2	29	29	NUM
fcis-32208	291	3	]	]	PUNCT
fcis-32208	291	4	:	:	PUNCT
fcis-32208	291	5	this	this	DET
fcis-32208	291	6	method	method	NOUN
fcis-32208	291	7	effectively	effectively	ADV
fcis-32208	291	8	captures	capture	VERB
fcis-32208	291	9	user	user	NOUN
fcis-32208	291	10	intelligence	intelligence	NOUN
fcis-32208	291	11	behaviors	behavior	NOUN
fcis-32208	291	12	and	and	CCONJ
fcis-32208	291	13	supports	support	VERB
fcis-32208	291	14	user	user	NOUN
fcis-32208	291	15	decision	decision	NOUN
fcis-32208	291	16	-	-	PUNCT
fcis-32208	291	17	making	making	NOUN
fcis-32208	291	18	.	.	PUNCT
fcis-32208	292	1	it	it	PRON
fcis-32208	292	2	employs	employ	VERB
fcis-32208	292	3	programs	program	NOUN
fcis-32208	292	4	that	that	PRON
fcis-32208	292	5	can	can	AUX
fcis-32208	292	6	perceive	perceive	VERB
fcis-32208	292	7	the	the	DET
fcis-32208	292	8	environment	environment	NOUN
fcis-32208	292	9	,	,	PUNCT
fcis-32208	292	10	understand	understand	VERB
fcis-32208	292	11	the	the	DET
fcis-32208	292	12	relevance	relevance	NOUN
fcis-32208	292	13	of	of	ADP
fcis-32208	292	14	complex	complex	ADJ
fcis-32208	292	15	events	event	NOUN
fcis-32208	292	16	,	,	PUNCT
fcis-32208	292	17	and	and	CCONJ
fcis-32208	292	18	learn	learn	VERB
fcis-32208	292	19	how	how	SCONJ
fcis-32208	292	20	to	to	PART
fcis-32208	292	21	act	act	VERB
fcis-32208	292	22	in	in	ADP
fcis-32208	292	23	crucial	crucial	ADJ
fcis-32208	292	24	situations	situation	NOUN
fcis-32208	292	25	.	.	PUNCT
fcis-32208	293	1	rl	rl	X
fcis-32208	293	2	-	-	PUNCT
fcis-32208	293	3	lda	lda	PROPN
fcis-32208	293	4	uses	use	VERB
fcis-32208	293	5	forwarding	forward	VERB
fcis-32208	293	6	behavior	behavior	NOUN
fcis-32208	293	7	for	for	ADP
fcis-32208	293	8	event	event	NOUN
fcis-32208	293	9	evolution	evolution	NOUN
fcis-32208	293	10	detection	detection	NOUN
fcis-32208	293	11	,	,	PUNCT
fcis-32208	293	12	capturing	capture	VERB
fcis-32208	293	13	social	social	ADJ
fcis-32208	293	14	media	medium	NOUN
fcis-32208	293	15	information	information	NOUN
fcis-32208	293	16	through	through	ADP
fcis-32208	293	17	tags	tag	NOUN
fcis-32208	293	18	,	,	PUNCT
fcis-32208	293	19	locations	location	NOUN
fcis-32208	293	20	,	,	PUNCT
fcis-32208	293	21	texts	text	NOUN
fcis-32208	293	22	,	,	PUNCT
fcis-32208	293	23	and	and	CCONJ
fcis-32208	293	24	forwarding	forwarding	NOUN
fcis-32208	293	25	actions	action	NOUN
fcis-32208	293	26	.	.	PUNCT
fcis-32208	294	1	deepsvdd	deepsvdd	PROPN
fcis-32208	295	1	[	[	X
fcis-32208	295	2	30	30	NUM
fcis-32208	295	3	]	]	X
fcis-32208	295	4	:	:	PUNCT
fcis-32208	295	5	a	a	DET
fcis-32208	295	6	semi	semi	ADJ
fcis-32208	295	7	-	-	ADJ
fcis-32208	295	8	supervised	supervised	ADJ
fcis-32208	295	9	anomaly	anomaly	NOUN
fcis-32208	295	10	detection	detection	NOUN
fcis-32208	295	11	approach	approach	NOUN
fcis-32208	295	12	that	that	PRON
fcis-32208	295	13	uses	use	VERB
fcis-32208	295	14	neural	neural	ADJ
fcis-32208	295	15	networks	network	NOUN
fcis-32208	295	16	to	to	PART
fcis-32208	295	17	learn	learn	VERB
fcis-32208	295	18	features	feature	NOUN
fcis-32208	295	19	that	that	PRON
fcis-32208	295	20	map	map	VERB
fcis-32208	295	21	normal	normal	ADJ
fcis-32208	295	22	sequences	sequence	NOUN
fcis-32208	295	23	onto	onto	ADP
fcis-32208	295	24	a	a	DET
fcis-32208	295	25	hypersphere	hypersphere	NOUN
fcis-32208	295	26	and	and	CCONJ
fcis-32208	295	27	map	map	VERB
fcis-32208	295	28	anomalous	anomalous	ADJ
fcis-32208	295	29	sequences	sequence	NOUN
fcis-32208	295	30	far	far	ADV
fcis-32208	295	31	from	from	ADP
fcis-32208	295	32	the	the	DET
fcis-32208	295	33	hypersphere	hypersphere	NOUN
fcis-32208	295	34	.	.	PUNCT
fcis-32208	296	1	logrobust	logrobust	PROPN
fcis-32208	297	1	[	[	X
fcis-32208	297	2	31	31	NUM
fcis-32208	297	3	]	]	X
fcis-32208	297	4	:	:	PUNCT
fcis-32208	297	5	logrobust	logrobust	NOUN
fcis-32208	297	6	extracts	extract	VERB
fcis-32208	297	7	semantic	semantic	ADJ
fcis-32208	297	8	information	information	NOUN
fcis-32208	297	9	from	from	ADP
fcis-32208	297	10	log	log	NOUN
fcis-32208	297	11	events	event	NOUN
fcis-32208	297	12	and	and	CCONJ
fcis-32208	297	13	represents	represent	VERB
fcis-32208	297	14	it	it	PRON
fcis-32208	297	15	as	as	ADP
fcis-32208	297	16	semantic	semantic	ADJ
fcis-32208	297	17	vectors	vector	NOUN
fcis-32208	297	18	.	.	PUNCT
fcis-32208	298	1	it	it	PRON
fcis-32208	298	2	leverages	leverage	VERB
fcis-32208	298	3	an	an	DET
fcis-32208	298	4	attention	attention	NOUN
fcis-32208	298	5	-	-	PUNCT
fcis-32208	298	6	based	base	VERB
fcis-32208	298	7	dual	dual	ADJ
fcis-32208	298	8	lstm	lstm	NOUN
fcis-32208	298	9	model	model	NOUN
fcis-32208	298	10	to	to	PART
fcis-32208	298	11	detect	detect	VERB
fcis-32208	298	12	anomalous	anomalous	ADJ
fcis-32208	298	13	log	log	NOUN
fcis-32208	298	14	sequences	sequence	NOUN
fcis-32208	298	15	.	.	PUNCT
fcis-32208	299	1	16	16	NUM
fcis-32208	299	2	4.4	4.4	NUM
fcis-32208	299	3	.	.	PUNCT
fcis-32208	300	1	comparative	comparative	ADJ
fcis-32208	300	2	experimental	experimental	ADJ
fcis-32208	300	3	analysis	analysis	NOUN
fcis-32208	300	4	in	in	ADP
fcis-32208	300	5	this	this	DET
fcis-32208	300	6	section	section	NOUN
fcis-32208	300	7	,	,	PUNCT
fcis-32208	300	8	we	we	PRON
fcis-32208	300	9	conducted	conduct	VERB
fcis-32208	300	10	a	a	DET
fcis-32208	300	11	detailed	detailed	ADJ
fcis-32208	300	12	comparative	comparative	ADJ
fcis-32208	300	13	analysis	analysis	NOUN
fcis-32208	300	14	,	,	PUNCT
fcis-32208	300	15	evaluating	evaluate	VERB
fcis-32208	300	16	our	our	PRON
fcis-32208	300	17	proposed	propose	VERB
fcis-32208	300	18	method	method	NOUN
fcis-32208	300	19	,	,	PUNCT
fcis-32208	300	20	ganaed	ganae	VERB
fcis-32208	300	21	,	,	PUNCT
fcis-32208	300	22	against	against	ADP
fcis-32208	300	23	four	four	NUM
fcis-32208	300	24	baseline	baseline	ADJ
fcis-32208	300	25	methods	method	NOUN
fcis-32208	300	26	mabed	mabed	VERB
fcis-32208	300	27	,	,	PUNCT
fcis-32208	300	28	rl	rl	X
fcis-32208	300	29	-	-	PUNCT
fcis-32208	300	30	lda	lda	PROPN
fcis-32208	300	31	,	,	PUNCT
fcis-32208	300	32	deepsvdd	deepsvdd	NOUN
fcis-32208	300	33	,	,	PUNCT
fcis-32208	300	34	and	and	CCONJ
fcis-32208	300	35	logrobust	logrobust	VERB
fcis-32208	300	36	across	across	ADP
fcis-32208	300	37	two	two	NUM
fcis-32208	300	38	distinct	distinct	ADJ
fcis-32208	300	39	datasets	dataset	NOUN
fcis-32208	300	40	.	.	PUNCT
fcis-32208	301	1	as	as	SCONJ
fcis-32208	301	2	depicted	depict	VERB
fcis-32208	301	3	in	in	ADP
fcis-32208	301	4	figure	figure	NOUN
fcis-32208	301	5	6	6	NUM
fcis-32208	301	6	,	,	PUNCT
fcis-32208	301	7	comparison	comparison	NOUN
fcis-32208	301	8	results	result	VERB
fcis-32208	301	9	on	on	ADP
fcis-32208	301	10	the	the	DET
fcis-32208	301	11	hdfs	hdfs	NOUN
fcis-32208	301	12	dataset	dataset	NOUN
fcis-32208	301	13	indicate	indicate	VERB
fcis-32208	301	14	that	that	SCONJ
fcis-32208	301	15	both	both	CCONJ
fcis-32208	301	16	our	our	PRON
fcis-32208	301	17	method	method	NOUN
fcis-32208	301	18	,	,	PUNCT
fcis-32208	301	19	ganaed	ganaed	ADJ
fcis-32208	301	20	,	,	PUNCT
fcis-32208	301	21	and	and	CCONJ
fcis-32208	301	22	logrobust	logrobust	NOUN
fcis-32208	301	23	,	,	PUNCT
fcis-32208	301	24	outperform	outperform	VERB
fcis-32208	301	25	the	the	DET
fcis-32208	301	26	other	other	ADJ
fcis-32208	301	27	methods	method	NOUN
fcis-32208	301	28	in	in	ADP
fcis-32208	301	29	terms	term	NOUN
fcis-32208	301	30	of	of	ADP
fcis-32208	301	31	precision	precision	NOUN
fcis-32208	301	32	,	,	PUNCT
fcis-32208	301	33	recall	recall	NOUN
fcis-32208	301	34	,	,	PUNCT
fcis-32208	301	35	and	and	CCONJ
fcis-32208	301	36	f1	f1	NOUN
fcis-32208	301	37	-	-	PUNCT
fcis-32208	301	38	measure	measure	NOUN
fcis-32208	301	39	,	,	PUNCT
fcis-32208	301	40	with	with	ADP
fcis-32208	301	41	the	the	DET
fcis-32208	301	42	most	most	ADV
fcis-32208	301	43	notable	notable	ADJ
fcis-32208	301	44	improvements	improvement	NOUN
fcis-32208	301	45	observed	observe	VERB
fcis-32208	301	46	in	in	ADP
fcis-32208	301	47	precision	precision	NOUN
fcis-32208	301	48	.	.	PUNCT
fcis-32208	302	1	taking	take	VERB
fcis-32208	302	2	logrobust	logrobust	NOUN
fcis-32208	302	3	as	as	ADP
fcis-32208	302	4	an	an	DET
fcis-32208	302	5	example	example	NOUN
fcis-32208	302	6	,	,	PUNCT
fcis-32208	302	7	it	it	PRON
fcis-32208	302	8	exhibited	exhibit	VERB
fcis-32208	302	9	a	a	DET
fcis-32208	302	10	26.3	26.3	NUM
fcis-32208	302	11	%	%	NOUN
fcis-32208	302	12	and	and	CCONJ
fcis-32208	302	13	17	17	NUM
fcis-32208	302	14	%	%	NOUN
fcis-32208	302	15	increase	increase	NOUN
fcis-32208	302	16	in	in	ADP
fcis-32208	302	17	precision	precision	NOUN
fcis-32208	302	18	over	over	ADP
fcis-32208	302	19	rl	rl	NOUN
fcis-32208	302	20	-	-	PUNCT
fcis-32208	302	21	lda	lda	PROPN
fcis-32208	302	22	and	and	CCONJ
fcis-32208	302	23	deepsvdd	deepsvdd	NOUN
fcis-32208	302	24	,	,	PUNCT
fcis-32208	302	25	respectively	respectively	ADV
fcis-32208	302	26	.	.	PUNCT
fcis-32208	303	1	this	this	DET
fcis-32208	303	2	significant	significant	ADJ
fcis-32208	303	3	improvement	improvement	NOUN
fcis-32208	303	4	is	be	AUX
fcis-32208	303	5	primarily	primarily	ADV
fcis-32208	303	6	attributed	attribute	VERB
fcis-32208	303	7	to	to	ADP
fcis-32208	303	8	the	the	DET
fcis-32208	303	9	logrobust	logrobust	PROPN
fcis-32208	303	10	model	model	NOUN
fcis-32208	303	11	's	's	PART
fcis-32208	303	12	ability	ability	NOUN
fcis-32208	303	13	not	not	PART
fcis-32208	303	14	just	just	ADV
fcis-32208	303	15	to	to	PART
fcis-32208	303	16	focus	focus	VERB
fcis-32208	303	17	on	on	ADP
fcis-32208	303	18	the	the	DET
fcis-32208	303	19	log	log	NOUN
fcis-32208	303	20	events	event	NOUN
fcis-32208	303	21	themselves	themselves	PRON
fcis-32208	303	22	but	but	CCONJ
fcis-32208	303	23	to	to	PART
fcis-32208	303	24	effectively	effectively	ADV
fcis-32208	303	25	capture	capture	VERB
fcis-32208	303	26	the	the	DET
fcis-32208	303	27	contextual	contextual	ADJ
fcis-32208	303	28	semantic	semantic	ADJ
fcis-32208	303	29	information	information	NOUN
fcis-32208	303	30	of	of	ADP
fcis-32208	303	31	events	event	NOUN
fcis-32208	303	32	,	,	PUNCT
fcis-32208	303	33	which	which	PRON
fcis-32208	303	34	is	be	AUX
fcis-32208	303	35	often	often	ADV
fcis-32208	303	36	overlooked	overlook	VERB
fcis-32208	303	37	in	in	ADP
fcis-32208	303	38	traditional	traditional	ADJ
fcis-32208	303	39	anomaly	anomaly	NOUN
fcis-32208	303	40	detection	detection	NOUN
fcis-32208	303	41	methods	method	NOUN
fcis-32208	303	42	.	.	PUNCT
fcis-32208	304	1	therefore	therefore	ADV
fcis-32208	304	2	,	,	PUNCT
fcis-32208	304	3	compared	compare	VERB
fcis-32208	304	4	to	to	ADP
fcis-32208	304	5	other	other	ADJ
fcis-32208	304	6	methods	method	NOUN
fcis-32208	304	7	,	,	PUNCT
fcis-32208	304	8	ganaed	ganae	VERB
fcis-32208	304	9	and	and	CCONJ
fcis-32208	304	10	logrobust	logrobust	PROPN
fcis-32208	304	11	demonstrate	demonstrate	VERB
fcis-32208	304	12	a	a	DET
fcis-32208	304	13	stronger	strong	ADJ
fcis-32208	304	14	capacity	capacity	NOUN
fcis-32208	304	15	for	for	ADP
fcis-32208	304	16	anomaly	anomaly	NOUN
fcis-32208	304	17	detection	detection	NOUN
fcis-32208	304	18	.	.	PUNCT
fcis-32208	305	1	furthermore	furthermore	ADV
fcis-32208	305	2	,	,	PUNCT
fcis-32208	305	3	it	it	PRON
fcis-32208	305	4	is	be	AUX
fcis-32208	305	5	evident	evident	ADJ
fcis-32208	305	6	from	from	ADP
fcis-32208	305	7	the	the	DET
fcis-32208	305	8	graph	graph	NOUN
fcis-32208	305	9	that	that	PRON
fcis-32208	305	10	our	our	PRON
fcis-32208	305	11	ganaed	ganaed	NOUN
fcis-32208	305	12	achieves	achieve	VERB
fcis-32208	305	13	a	a	DET
fcis-32208	305	14	6.5	6.5	NUM
fcis-32208	305	15	%	%	NOUN
fcis-32208	305	16	and	and	CCONJ
fcis-32208	305	17	1.1	1.1	NUM
fcis-32208	305	18	%	%	NOUN
fcis-32208	305	19	increase	increase	NOUN
fcis-32208	305	20	in	in	ADP
fcis-32208	305	21	precision	precision	NOUN
fcis-32208	305	22	and	and	CCONJ
fcis-32208	305	23	f1	f1	NOUN
fcis-32208	305	24	score	score	NOUN
fcis-32208	305	25	,	,	PUNCT
fcis-32208	305	26	respectively	respectively	ADV
fcis-32208	305	27	,	,	PUNCT
fcis-32208	305	28	over	over	ADP
fcis-32208	305	29	logrobust	logrobust	NOUN
fcis-32208	305	30	.	.	PUNCT
fcis-32208	306	1	this	this	DET
fcis-32208	306	2	progress	progress	NOUN
fcis-32208	306	3	is	be	AUX
fcis-32208	306	4	due	due	ADJ
fcis-32208	306	5	to	to	ADP
fcis-32208	306	6	the	the	DET
fcis-32208	306	7	innovative	innovative	ADJ
fcis-32208	306	8	strategies	strategy	NOUN
fcis-32208	306	9	employed	employ	VERB
fcis-32208	306	10	in	in	ADP
fcis-32208	306	11	ganaed	ganaed	NOUN
fcis-32208	306	12	:	:	PUNCT
fcis-32208	306	13	we	we	PRON
fcis-32208	306	14	utilize	utilize	VERB
fcis-32208	306	15	a	a	DET
fcis-32208	306	16	generative	generative	ADJ
fcis-32208	306	17	model	model	NOUN
fcis-32208	306	18	based	base	VERB
fcis-32208	306	19	on	on	ADP
fcis-32208	306	20	selfattention	selfattention	NOUN
fcis-32208	306	21	mechanism	mechanism	NOUN
fcis-32208	306	22	integrated	integrate	VERB
fcis-32208	306	23	gru	gru	PROPN
fcis-32208	306	24	and	and	CCONJ
fcis-32208	306	25	lstm	lstm	NOUN
fcis-32208	306	26	networks	network	NOUN
fcis-32208	306	27	,	,	PUNCT
fcis-32208	306	28	with	with	ADP
fcis-32208	306	29	a	a	DET
fcis-32208	306	30	particular	particular	ADJ
fcis-32208	306	31	emphasis	emphasis	NOUN
fcis-32208	306	32	on	on	ADP
fcis-32208	306	33	introducing	introduce	VERB
fcis-32208	306	34	gru	gru	NOUN
fcis-32208	306	35	to	to	PART
fcis-32208	306	36	ensure	ensure	VERB
fcis-32208	306	37	its	its	PRON
fcis-32208	306	38	output	output	NOUN
fcis-32208	306	39	effectively	effectively	ADV
fcis-32208	306	40	complements	complement	VERB
fcis-32208	306	41	the	the	DET
fcis-32208	306	42	self	self	NOUN
fcis-32208	306	43	-	-	PUNCT
fcis-32208	306	44	attention	attention	NOUN
fcis-32208	306	45	mechanism	mechanism	NOUN
fcis-32208	306	46	.	.	PUNCT
fcis-32208	307	1	this	this	DET
fcis-32208	307	2	approach	approach	NOUN
fcis-32208	307	3	allows	allow	VERB
fcis-32208	307	4	log	log	NOUN
fcis-32208	307	5	events	event	NOUN
fcis-32208	307	6	input	input	NOUN
fcis-32208	307	7	at	at	ADP
fcis-32208	307	8	different	different	ADJ
fcis-32208	307	9	time	time	NOUN
fcis-32208	307	10	points	point	NOUN
fcis-32208	307	11	to	to	PART
fcis-32208	307	12	be	be	AUX
fcis-32208	307	13	assigned	assign	VERB
fcis-32208	307	14	varying	vary	VERB
fcis-32208	307	15	weights	weight	NOUN
fcis-32208	307	16	,	,	PUNCT
fcis-32208	307	17	more	more	ADV
fcis-32208	307	18	accurately	accurately	ADV
fcis-32208	307	19	revealing	reveal	VERB
fcis-32208	307	20	causal	causal	ADJ
fcis-32208	307	21	relationships	relationship	NOUN
fcis-32208	307	22	between	between	ADP
fcis-32208	307	23	events	event	NOUN
fcis-32208	307	24	,	,	PUNCT
fcis-32208	307	25	thereby	thereby	ADV
fcis-32208	307	26	enhancing	enhance	VERB
fcis-32208	307	27	the	the	DET
fcis-32208	307	28	generalization	generalization	NOUN
fcis-32208	307	29	capability	capability	NOUN
fcis-32208	307	30	of	of	ADP
fcis-32208	307	31	the	the	DET
fcis-32208	307	32	generative	generative	ADJ
fcis-32208	307	33	model	model	NOUN
fcis-32208	307	34	and	and	CCONJ
fcis-32208	307	35	effectively	effectively	ADV
fcis-32208	307	36	improving	improve	VERB
fcis-32208	307	37	the	the	DET
fcis-32208	307	38	detection	detection	NOUN
fcis-32208	307	39	of	of	ADP
fcis-32208	307	40	anomalous	anomalous	ADJ
fcis-32208	307	41	events	event	NOUN
fcis-32208	307	42	.	.	PUNCT
fcis-32208	308	1	fig	fig	NOUN
fcis-32208	308	2	6	6	NUM
fcis-32208	308	3	.	.	PUNCT
fcis-32208	309	1	(	(	PUNCT
fcis-32208	309	2	a	a	X
fcis-32208	309	3	)	)	PUNCT
fcis-32208	309	4	evaluation	evaluation	NOUN
fcis-32208	309	5	on	on	ADP
fcis-32208	309	6	the	the	DET
fcis-32208	309	7	hdfs	hdfs	NOUN
fcis-32208	309	8	dataset	dataset	NOUN
fcis-32208	309	9	.	.	PUNCT
fcis-32208	310	1	(	(	PUNCT
fcis-32208	310	2	b	b	X
fcis-32208	310	3	)	)	PUNCT
fcis-32208	310	4	evaluation	evaluation	NOUN
fcis-32208	310	5	on	on	ADP
fcis-32208	310	6	the	the	DET
fcis-32208	310	7	unsw	unsw	PROPN
fcis-32208	310	8	-	-	PUNCT
fcis-32208	310	9	nb15	nb15	PROPN
fcis-32208	310	10	dataset	dataset	ADJ
fcis-32208	310	11	figure	figure	NOUN
fcis-32208	310	12	6	6	NUM
fcis-32208	310	13	presents	present	VERB
fcis-32208	310	14	a	a	DET
fcis-32208	310	15	detailed	detailed	ADJ
fcis-32208	310	16	comparison	comparison	NOUN
fcis-32208	310	17	of	of	ADP
fcis-32208	310	18	our	our	PRON
fcis-32208	310	19	method	method	NOUN
fcis-32208	310	20	,	,	PUNCT
fcis-32208	310	21	ganaed	ganae	VERB
fcis-32208	310	22	,	,	PUNCT
fcis-32208	310	23	with	with	ADP
fcis-32208	310	24	the	the	DET
fcis-32208	310	25	other	other	ADJ
fcis-32208	310	26	four	four	NUM
fcis-32208	310	27	methods	method	NOUN
fcis-32208	310	28	deepsvdd	deepsvdd	PROPN
fcis-32208	310	29	,	,	PUNCT
fcis-32208	310	30	logrobust	logrobust	PROPN
fcis-32208	310	31	,	,	PUNCT
fcis-32208	310	32	mabed	mabed	ADJ
fcis-32208	310	33	,	,	PUNCT
fcis-32208	310	34	and	and	CCONJ
fcis-32208	310	35	rl	rl	X
fcis-32208	310	36	-	-	PUNCT
fcis-32208	310	37	lda	lda	NOUN
fcis-32208	310	38	on	on	ADP
fcis-32208	310	39	the	the	DET
fcis-32208	310	40	unsw	unsw	PROPN
fcis-32208	310	41	-	-	PUNCT
fcis-32208	310	42	nb15	nb15	PROPN
fcis-32208	310	43	dataset	dataset	VERB
fcis-32208	310	44	in	in	ADP
fcis-32208	310	45	terms	term	NOUN
fcis-32208	310	46	of	of	ADP
fcis-32208	310	47	precision	precision	NOUN
fcis-32208	310	48	,	,	PUNCT
fcis-32208	310	49	recall	recall	NOUN
fcis-32208	310	50	,	,	PUNCT
fcis-32208	310	51	and	and	CCONJ
fcis-32208	310	52	f1	f1	NOUN
fcis-32208	310	53	-	-	PUNCT
fcis-32208	310	54	score	score	NOUN
fcis-32208	310	55	.	.	PUNCT
fcis-32208	311	1	it	it	PRON
fcis-32208	311	2	is	be	AUX
fcis-32208	311	3	clear	clear	ADJ
fcis-32208	311	4	from	from	ADP
fcis-32208	311	5	the	the	DET
fcis-32208	311	6	charts	chart	NOUN
fcis-32208	311	7	that	that	PRON
fcis-32208	311	8	ganaed	ganae	VERB
fcis-32208	311	9	exhibits	exhibit	VERB
fcis-32208	311	10	significant	significant	ADJ
fcis-32208	311	11	improvements	improvement	NOUN
fcis-32208	311	12	across	across	ADP
fcis-32208	311	13	all	all	DET
fcis-32208	311	14	evaluation	evaluation	NOUN
fcis-32208	311	15	metrics	metric	NOUN
fcis-32208	311	16	compared	compare	VERB
fcis-32208	311	17	to	to	ADP
fcis-32208	311	18	deepsvdd	deepsvdd	NOUN
fcis-32208	311	19	and	and	CCONJ
fcis-32208	311	20	logrobust	logrobust	NOUN
fcis-32208	311	21	,	,	PUNCT
fcis-32208	311	22	particularly	particularly	ADV
fcis-32208	311	23	in	in	ADP
fcis-32208	311	24	precision	precision	NOUN
fcis-32208	311	25	,	,	PUNCT
fcis-32208	311	26	where	where	SCONJ
fcis-32208	311	27	it	it	PRON
fcis-32208	311	28	outperforms	outperform	VERB
fcis-32208	311	29	deepsvdd	deepsvdd	NOUN
fcis-32208	311	30	and	and	CCONJ
fcis-32208	311	31	logrobust	logrobust	NOUN
fcis-32208	311	32	by	by	ADP
fcis-32208	311	33	15.8	15.8	NUM
fcis-32208	311	34	%	%	NOUN
fcis-32208	311	35	and	and	CCONJ
fcis-32208	311	36	3.0	3.0	NUM
fcis-32208	311	37	%	%	NOUN
fcis-32208	311	38	,	,	PUNCT
fcis-32208	311	39	respectively	respectively	ADV
fcis-32208	311	40	.	.	PUNCT
fcis-32208	312	1	this	this	DET
fcis-32208	312	2	notable	notable	ADJ
fcis-32208	312	3	performance	performance	NOUN
fcis-32208	312	4	boost	boost	NOUN
fcis-32208	312	5	is	be	AUX
fcis-32208	312	6	credited	credit	VERB
fcis-32208	312	7	to	to	PART
fcis-32208	312	8	ganaed	ganaed	VERB
fcis-32208	312	9	consideration	consideration	NOUN
fcis-32208	312	10	of	of	ADP
fcis-32208	312	11	the	the	DET
fcis-32208	312	12	potential	potential	ADJ
fcis-32208	312	13	causal	causal	ADJ
fcis-32208	312	14	relationships	relationship	NOUN
fcis-32208	312	15	between	between	ADP
fcis-32208	312	16	social	social	ADJ
fcis-32208	312	17	network	network	NOUN
fcis-32208	312	18	events	event	NOUN
fcis-32208	312	19	.	.	PUNCT
fcis-32208	313	1	it	it	PRON
fcis-32208	313	2	not	not	PART
fcis-32208	313	3	only	only	ADV
fcis-32208	313	4	accurately	accurately	ADV
fcis-32208	313	5	captures	capture	VERB
fcis-32208	313	6	the	the	DET
fcis-32208	313	7	temporal	temporal	ADJ
fcis-32208	313	8	dependencies	dependency	NOUN
fcis-32208	313	9	present	present	ADJ
fcis-32208	313	10	in	in	ADP
fcis-32208	313	11	social	social	ADJ
fcis-32208	313	12	network	network	NOUN
fcis-32208	313	13	logs	log	NOUN
fcis-32208	313	14	but	but	CCONJ
fcis-32208	313	15	also	also	ADV
fcis-32208	313	16	delves	delve	VERB
fcis-32208	313	17	into	into	ADP
fcis-32208	313	18	the	the	DET
fcis-32208	313	19	complex	complex	ADJ
fcis-32208	313	20	contextual	contextual	ADJ
fcis-32208	313	21	information	information	NOUN
fcis-32208	313	22	.	.	PUNCT
fcis-32208	314	1	in	in	ADP
fcis-32208	314	2	contrast	contrast	NOUN
fcis-32208	314	3	,	,	PUNCT
fcis-32208	314	4	both	both	PRON
fcis-32208	314	5	mabed	mabed	ADJ
fcis-32208	314	6	and	and	CCONJ
fcis-32208	314	7	rllda	rllda	NOUN
fcis-32208	314	8	show	show	NOUN
fcis-32208	314	9	performances	performance	NOUN
fcis-32208	314	10	below	below	ADP
fcis-32208	314	11	65	65	NUM
fcis-32208	314	12	%	%	NOUN
fcis-32208	314	13	in	in	ADP
fcis-32208	314	14	f1	f1	NOUN
fcis-32208	314	15	-	-	PUNCT
fcis-32208	314	16	score	score	NOUN
fcis-32208	314	17	,	,	PUNCT
fcis-32208	314	18	primarily	primarily	ADV
fcis-32208	314	19	because	because	SCONJ
fcis-32208	314	20	these	these	DET
fcis-32208	314	21	methods	method	NOUN
fcis-32208	314	22	focus	focus	VERB
fcis-32208	314	23	on	on	ADP
fcis-32208	314	24	preserving	preserve	VERB
fcis-32208	314	25	the	the	DET
fcis-32208	314	26	main	main	ADJ
fcis-32208	314	27	features	feature	NOUN
fcis-32208	314	28	of	of	ADP
fcis-32208	314	29	original	original	ADJ
fcis-32208	314	30	events	event	NOUN
fcis-32208	314	31	,	,	PUNCT
fcis-32208	314	32	thereby	thereby	ADV
fcis-32208	314	33	overlooking	overlook	VERB
fcis-32208	314	34	essential	essential	ADJ
fcis-32208	314	35	information	information	NOUN
fcis-32208	314	36	,	,	PUNCT
fcis-32208	314	37	leading	lead	VERB
fcis-32208	314	38	to	to	ADP
fcis-32208	314	39	the	the	DET
fcis-32208	314	40	omission	omission	NOUN
fcis-32208	314	41	of	of	ADP
fcis-32208	314	42	many	many	ADJ
fcis-32208	314	43	actual	actual	ADJ
fcis-32208	314	44	anomalies	anomaly	NOUN
fcis-32208	314	45	and	and	CCONJ
fcis-32208	314	46	affecting	affect	VERB
fcis-32208	314	47	the	the	DET
fcis-32208	314	48	accuracy	accuracy	NOUN
fcis-32208	314	49	and	and	CCONJ
fcis-32208	314	50	reliability	reliability	NOUN
fcis-32208	314	51	of	of	ADP
fcis-32208	314	52	the	the	DET
fcis-32208	314	53	results	result	NOUN
fcis-32208	314	54	.	.	PUNCT
fcis-32208	315	1	4.5	4.5	NUM
fcis-32208	315	2	.	.	PUNCT
fcis-32208	316	1	analysis	analysis	NOUN
fcis-32208	316	2	of	of	ADP
fcis-32208	316	3	model	model	NOUN
fcis-32208	316	4	performance	performance	NOUN
fcis-32208	316	5	by	by	ADP
fcis-32208	316	6	parameters	parameter	NOUN
fcis-32208	316	7	to	to	PART
fcis-32208	316	8	further	far	ADV
fcis-32208	316	9	optimize	optimize	VERB
fcis-32208	316	10	and	and	CCONJ
fcis-32208	316	11	tune	tune	VERB
fcis-32208	316	12	the	the	DET
fcis-32208	316	13	performance	performance	NOUN
fcis-32208	316	14	of	of	ADP
fcis-32208	316	15	the	the	DET
fcis-32208	316	16	model	model	NOUN
fcis-32208	316	17	,	,	PUNCT
fcis-32208	316	18	this	this	DET
fcis-32208	316	19	subsection	subsection	NOUN
fcis-32208	316	20	will	will	AUX
fcis-32208	316	21	analyze	analyze	VERB
fcis-32208	316	22	the	the	DET
fcis-32208	316	23	impact	impact	NOUN
fcis-32208	316	24	of	of	ADP
fcis-32208	316	25	certain	certain	ADJ
fcis-32208	316	26	parameters	parameter	NOUN
fcis-32208	316	27	on	on	ADP
fcis-32208	316	28	ganaed	ganaed	NOUN
fcis-32208	316	29	regarding	regard	VERB
fcis-32208	316	30	four	four	NUM
fcis-32208	316	31	metrics	metric	NOUN
fcis-32208	316	32	:	:	PUNCT
fcis-32208	316	33	precision	precision	NOUN
fcis-32208	316	34	,	,	PUNCT
fcis-32208	316	35	recall	recall	NOUN
fcis-32208	316	36	,	,	PUNCT
fcis-32208	316	37	f1score	f1score	NOUN
fcis-32208	316	38	,	,	PUNCT
fcis-32208	316	39	and	and	CCONJ
fcis-32208	316	40	_	_	NOUN
fcis-32208	316	41	d	d	NOUN
fcis-32208	316	42	loss	loss	NOUN
fcis-32208	316	43	.	.	PUNCT
fcis-32208	317	1	the	the	DET
fcis-32208	317	2	default	default	NOUN
fcis-32208	317	3	values	value	NOUN
fcis-32208	317	4	of	of	ADP
fcis-32208	317	5	all	all	DET
fcis-32208	317	6	parameters	parameter	NOUN
fcis-32208	317	7	used	use	VERB
fcis-32208	317	8	in	in	ADP
fcis-32208	317	9	the	the	DET
fcis-32208	317	10	experiments	experiment	NOUN
fcis-32208	317	11	are	be	AUX
fcis-32208	317	12	provided	provide	VERB
fcis-32208	317	13	in	in	ADP
fcis-32208	317	14	table	table	NOUN
fcis-32208	317	15	2	2	NUM
fcis-32208	317	16	.	.	PUNCT
fcis-32208	318	1	the	the	DET
fcis-32208	318	2	datasets	dataset	NOUN
fcis-32208	318	3	selected	select	VERB
fcis-32208	318	4	for	for	ADP
fcis-32208	318	5	this	this	DET
fcis-32208	318	6	experiment	experiment	NOUN
fcis-32208	318	7	are	be	AUX
fcis-32208	318	8	the	the	DET
fcis-32208	318	9	hdfs	hdfs	NOUN
fcis-32208	318	10	and	and	CCONJ
fcis-32208	318	11	unsw	unsw	NOUN
fcis-32208	318	12	-	-	PUNCT
fcis-32208	318	13	nb15	nb15	PROPN
fcis-32208	318	14	datasets	dataset	NOUN
fcis-32208	318	15	,	,	PUNCT
fcis-32208	318	16	with	with	ADP
fcis-32208	318	17	the	the	DET
fcis-32208	318	18	results	result	NOUN
fcis-32208	318	19	presented	present	VERB
fcis-32208	318	20	in	in	ADP
fcis-32208	318	21	figures	figure	NOUN
fcis-32208	318	22	7	7	NUM
fcis-32208	318	23	,	,	PUNCT
fcis-32208	318	24	respectively	respectively	ADV
fcis-32208	318	25	.	.	PUNCT
fcis-32208	319	1	first	first	ADV
fcis-32208	319	2	,	,	PUNCT
fcis-32208	319	3	the	the	DET
fcis-32208	319	4	impact	impact	NOUN
fcis-32208	319	5	of	of	ADP
fcis-32208	319	6	the	the	DET
fcis-32208	319	7	sliding	slide	VERB
fcis-32208	319	8	window	window	NOUN
fcis-32208	319	9	size	size	NOUN
fcis-32208	319	10	on	on	ADP
fcis-32208	319	11	the	the	DET
fcis-32208	319	12	model	model	NOUN
fcis-32208	319	13	's	's	PART
fcis-32208	319	14	evaluation	evaluation	NOUN
fcis-32208	319	15	metrics	metric	NOUN
fcis-32208	319	16	is	be	AUX
fcis-32208	319	17	considered	consider	VERB
fcis-32208	319	18	.	.	PUNCT
fcis-32208	320	1	observation	observation	NOUN
fcis-32208	320	2	of	of	ADP
fcis-32208	320	3	the	the	DET
fcis-32208	320	4	trends	trend	NOUN
fcis-32208	320	5	in	in	ADP
fcis-32208	320	6	graphs	graph	NOUN
fcis-32208	320	7	(	(	PUNCT
fcis-32208	320	8	a	a	X
fcis-32208	320	9	)	)	PUNCT
fcis-32208	320	10	and	and	CCONJ
fcis-32208	320	11	(	(	PUNCT
fcis-32208	320	12	b	b	X
fcis-32208	320	13	)	)	PUNCT
fcis-32208	320	14	reveals	reveal	VERB
fcis-32208	320	15	that	that	SCONJ
fcis-32208	320	16	,	,	PUNCT
fcis-32208	320	17	as	as	SCONJ
fcis-32208	320	18	the	the	DET
fcis-32208	320	19	window	window	NOUN
fcis-32208	320	20	size	size	NOUN
fcis-32208	320	21	gradually	gradually	ADV
fcis-32208	320	22	increases	increase	VERB
fcis-32208	320	23	,	,	PUNCT
fcis-32208	320	24	the	the	DET
fcis-32208	320	25	model	model	NOUN
fcis-32208	320	26	's	's	PART
fcis-32208	320	27	anomaly	anomaly	NOUN
fcis-32208	320	28	detection	detection	NOUN
fcis-32208	320	29	precision	precision	NOUN
fcis-32208	320	30	improves	improve	VERB
fcis-32208	320	31	,	,	PUNCT
fcis-32208	320	32	while	while	SCONJ
fcis-32208	320	33	the	the	DET
fcis-32208	320	34	recall	recall	NOUN
fcis-32208	320	35	rate	rate	NOUN
fcis-32208	320	36	decreases	decrease	VERB
fcis-32208	320	37	to	to	ADP
fcis-32208	320	38	some	some	DET
fcis-32208	320	39	extent	extent	NOUN
fcis-32208	320	40	.	.	PUNCT
fcis-32208	321	1	however	however	ADV
fcis-32208	321	2	,	,	PUNCT
fcis-32208	321	3	the	the	DET
fcis-32208	321	4	overall	overall	ADJ
fcis-32208	321	5	performance	performance	NOUN
fcis-32208	321	6	of	of	ADP
fcis-32208	321	7	the	the	DET
fcis-32208	321	8	model	model	NOUN
fcis-32208	321	9	,	,	PUNCT
fcis-32208	321	10	as	as	SCONJ
fcis-32208	321	11	indicated	indicate	VERB
fcis-32208	321	12	by	by	ADP
fcis-32208	321	13	the	the	DET
fcis-32208	321	14	f1	f1	PROPN
fcis-32208	321	15	score	score	NOUN
fcis-32208	321	16	,	,	PUNCT
fcis-32208	321	17	shows	show	VERB
fcis-32208	321	18	gradual	gradual	ADJ
fcis-32208	321	19	improvement	improvement	NOUN
fcis-32208	321	20	,	,	PUNCT
fcis-32208	321	21	peaking	peak	VERB
fcis-32208	321	22	at	at	ADP
fcis-32208	321	23	a	a	DET
fcis-32208	321	24	window	window	NOUN
fcis-32208	321	25	size	size	NOUN
fcis-32208	321	26	of	of	ADP
fcis-32208	321	27	5	5	NUM
fcis-32208	321	28	.	.	PUNCT
fcis-32208	321	29	continuing	continue	VERB
fcis-32208	321	30	to	to	PART
fcis-32208	321	31	increase	increase	VERB
fcis-32208	321	32	the	the	DET
fcis-32208	321	33	window	window	NOUN
fcis-32208	321	34	size	size	NOUN
fcis-32208	321	35	leads	lead	VERB
fcis-32208	321	36	to	to	ADP
fcis-32208	321	37	a	a	DET
fcis-32208	321	38	noticeable	noticeable	ADJ
fcis-32208	321	39	decline	decline	NOUN
fcis-32208	321	40	in	in	ADP
fcis-32208	321	41	recall	recall	NOUN
fcis-32208	321	42	rate	rate	NOUN
fcis-32208	321	43	and	and	CCONJ
fcis-32208	321	44	a	a	DET
fcis-32208	321	45	gradual	gradual	ADJ
fcis-32208	321	46	downward	downward	ADJ
fcis-32208	321	47	trend	trend	NOUN
fcis-32208	321	48	in	in	ADP
fcis-32208	321	49	overall	overall	ADJ
fcis-32208	321	50	model	model	NOUN
fcis-32208	321	51	performance	performance	NOUN
fcis-32208	321	52	.	.	PUNCT
fcis-32208	322	1	given	give	VERB
fcis-32208	322	2	the	the	DET
fcis-32208	322	3	longer	long	ADJ
fcis-32208	322	4	detection	detection	NOUN
fcis-32208	322	5	time	time	NOUN
fcis-32208	322	6	required	require	VERB
fcis-32208	322	7	by	by	ADP
fcis-32208	322	8	larger	large	ADJ
fcis-32208	322	9	window	window	NOUN
fcis-32208	322	10	sizes	size	NOUN
fcis-32208	322	11	,	,	PUNCT
fcis-32208	322	12	the	the	DET
fcis-32208	322	13	optimal	optimal	ADJ
fcis-32208	322	14	window	window	NOUN
fcis-32208	322	15	size	size	NOUN
fcis-32208	322	16	is	be	AUX
fcis-32208	322	17	determined	determine	VERB
fcis-32208	322	18	to	to	PART
fcis-32208	322	19	be	be	AUX
fcis-32208	322	20	5	5	NUM
fcis-32208	322	21	,	,	PUNCT
fcis-32208	322	22	balancing	balance	VERB
fcis-32208	322	23	the	the	DET
fcis-32208	322	24	model	model	NOUN
fcis-32208	322	25	's	's	PART
fcis-32208	322	26	performance	performance	NOUN
fcis-32208	322	27	across	across	ADP
fcis-32208	322	28	different	different	ADJ
fcis-32208	322	29	window	window	NOUN
fcis-32208	322	30	sizes	size	NOUN
fcis-32208	322	31	.	.	PUNCT
fcis-32208	323	1	next	next	ADV
fcis-32208	323	2	,	,	PUNCT
fcis-32208	323	3	the	the	DET
fcis-32208	323	4	impact	impact	NOUN
fcis-32208	323	5	of	of	ADP
fcis-32208	323	6	the	the	DET
fcis-32208	323	7	lstm	lstm	PROPN
fcis-32208	323	8	network	network	NOUN
fcis-32208	323	9	layer	layer	NOUN
fcis-32208	323	10	parameter	parameter	NOUN
fcis-32208	323	11	on	on	ADP
fcis-32208	323	12	the	the	DET
fcis-32208	323	13	detection	detection	NOUN
fcis-32208	323	14	model	model	NOUN
fcis-32208	323	15	is	be	AUX
fcis-32208	323	16	explored	explore	VERB
fcis-32208	323	17	through	through	ADP
fcis-32208	323	18	graphs	graph	NOUN
fcis-32208	323	19	(	(	PUNCT
fcis-32208	323	20	c	c	NOUN
fcis-32208	323	21	)	)	PUNCT
fcis-32208	323	22	and	and	CCONJ
fcis-32208	323	23	(	(	PUNCT
fcis-32208	323	24	d	d	NOUN
fcis-32208	323	25	)	)	PUNCT
fcis-32208	323	26	,	,	PUNCT
fcis-32208	323	27	which	which	PRON
fcis-32208	323	28	show	show	VERB
fcis-32208	323	29	the	the	DET
fcis-32208	323	30	influence	influence	NOUN
fcis-32208	323	31	of	of	ADP
fcis-32208	323	32	varying	vary	VERB
fcis-32208	323	33	network	network	NOUN
fcis-32208	323	34	depth	depth	NOUN
fcis-32208	323	35	on	on	ADP
fcis-32208	323	36	the	the	DET
fcis-32208	323	37	model	model	NOUN
fcis-32208	323	38	's	's	PART
fcis-32208	323	39	evaluation	evaluation	NOUN
fcis-32208	323	40	metrics	metric	NOUN
fcis-32208	323	41	.	.	PUNCT
fcis-32208	324	1	it	it	PRON
fcis-32208	324	2	is	be	AUX
fcis-32208	324	3	observed	observe	VERB
fcis-32208	324	4	that	that	SCONJ
fcis-32208	324	5	the	the	DET
fcis-32208	324	6	lstm	lstm	PROPN
fcis-32208	324	7	network	network	NOUN
fcis-32208	324	8	layers	layer	NOUN
fcis-32208	324	9	have	have	VERB
fcis-32208	324	10	minimal	minimal	ADJ
fcis-32208	324	11	impact	impact	NOUN
fcis-32208	324	12	on	on	ADP
fcis-32208	324	13	the	the	DET
fcis-32208	324	14	three	three	NUM
fcis-32208	324	15	metrics	metric	NOUN
fcis-32208	324	16	,	,	PUNCT
fcis-32208	324	17	with	with	ADP
fcis-32208	324	18	optimal	optimal	ADJ
fcis-32208	324	19	performance	performance	NOUN
fcis-32208	324	20	occurring	occur	VERB
fcis-32208	324	21	at	at	ADP
fcis-32208	324	22	two	two	NUM
fcis-32208	324	23	layers	layer	NOUN
fcis-32208	324	24	.	.	PUNCT
fcis-32208	325	1	subsequent	subsequent	ADJ
fcis-32208	325	2	increases	increase	NOUN
fcis-32208	325	3	in	in	ADP
fcis-32208	325	4	layers	layer	NOUN
fcis-32208	325	5	lead	lead	VERB
fcis-32208	325	6	to	to	ADP
fcis-32208	325	7	a	a	DET
fcis-32208	325	8	gradual	gradual	ADJ
fcis-32208	325	9	performance	performance	NOUN
fcis-32208	325	10	decline	decline	NOUN
fcis-32208	325	11	,	,	PUNCT
fcis-32208	325	12	attributed	attribute	VERB
fcis-32208	325	13	to	to	ADP
fcis-32208	325	14	the	the	DET
fcis-32208	325	15	complication	complication	NOUN
fcis-32208	325	16	of	of	ADP
fcis-32208	325	17	having	have	VERB
fcis-32208	325	18	too	too	ADV
fcis-32208	325	19	many	many	ADJ
fcis-32208	325	20	parameters	parameter	NOUN
fcis-32208	325	21	affecting	affect	VERB
fcis-32208	325	22	the	the	DET
fcis-32208	325	23	model	model	NOUN
fcis-32208	325	24	's	's	PART
fcis-32208	325	25	performance	performance	NOUN
fcis-32208	325	26	,	,	PUNCT
fcis-32208	325	27	resulting	result	VERB
fcis-32208	325	28	in	in	ADP
fcis-32208	325	29	diminishing	diminish	VERB
fcis-32208	325	30	returns	return	NOUN
fcis-32208	325	31	.	.	PUNCT
fcis-32208	326	1	graphs	graph	NOUN
fcis-32208	326	2	(	(	PUNCT
fcis-32208	326	3	e	e	NOUN
fcis-32208	326	4	)	)	PUNCT
fcis-32208	326	5	and	and	CCONJ
fcis-32208	326	6	(	(	PUNCT
fcis-32208	326	7	f	f	X
fcis-32208	326	8	)	)	PUNCT
fcis-32208	326	9	examine	examine	VERB
fcis-32208	326	10	the	the	DET
fcis-32208	326	11	effect	effect	NOUN
fcis-32208	326	12	of	of	ADP
fcis-32208	326	13	different	different	ADJ
fcis-32208	326	14	thresholds	threshold	NOUN
fcis-32208	326	15	on	on	ADP
fcis-32208	326	16	the	the	DET
fcis-32208	326	17	discriminator	discriminator	NOUN
fcis-32208	326	18	network	network	NOUN
fcis-32208	326	19	's	's	PART
fcis-32208	326	20	fully	fully	ADV
fcis-32208	326	21	connected	connect	VERB
fcis-32208	326	22	layer	layer	NOUN
fcis-32208	326	23	for	for	ADP
fcis-32208	326	24	correctly	correctly	ADV
fcis-32208	326	25	identifying	identify	VERB
fcis-32208	326	26	real	real	ADJ
fcis-32208	326	27	events	event	NOUN
fcis-32208	326	28	as	as	ADP
fcis-32208	326	29	1	1	NUM
fcis-32208	326	30	,	,	PUNCT
fcis-32208	326	31	misidentifying	misidentify	VERB
fcis-32208	326	32	fake	fake	ADJ
fcis-32208	326	33	events	event	NOUN
fcis-32208	326	34	as	as	ADP
fcis-32208	326	35	0	0	NUM
fcis-32208	326	36	,	,	PUNCT
fcis-32208	326	37	and	and	CCONJ
fcis-32208	326	38	the	the	DET
fcis-32208	326	39	overall	overall	ADJ
fcis-32208	326	40	loss	loss	NOUN
fcis-32208	326	41	.	.	PUNCT
fcis-32208	327	1	the	the	DET
fcis-32208	327	2	results	result	NOUN
fcis-32208	327	3	show	show	VERB
fcis-32208	327	4	that	that	SCONJ
fcis-32208	327	5	when	when	SCONJ
fcis-32208	327	6	the	the	DET
fcis-32208	327	7	threshold	threshold	NOUN
fcis-32208	327	8	is	be	AUX
fcis-32208	327	9	less	less	ADJ
fcis-32208	327	10	than	than	ADP
fcis-32208	327	11	0.6	0.6	NUM
fcis-32208	327	12	,	,	PUNCT
fcis-32208	327	13	the	the	DET
fcis-32208	327	14	loss	loss	NOUN
fcis-32208	327	15	for	for	ADP
fcis-32208	327	16	correctly	correctly	ADV
fcis-32208	327	17	and	and	CCONJ
fcis-32208	327	18	incorrectly	incorrectly	ADV
fcis-32208	327	19	identified	identify	VERB
fcis-32208	327	20	events	event	NOUN
fcis-32208	327	21	,	,	PUNCT
fcis-32208	327	22	as	as	ADV
fcis-32208	327	23	well	well	ADV
fcis-32208	327	24	as	as	ADP
fcis-32208	327	25	the	the	DET
fcis-32208	327	26	total	total	ADJ
fcis-32208	327	27	loss	loss	NOUN
fcis-32208	327	28	,	,	PUNCT
fcis-32208	327	29	gradually	gradually	ADV
fcis-32208	327	30	increases	increase	VERB
fcis-32208	327	31	.	.	PUNCT
fcis-32208	328	1	when	when	SCONJ
fcis-32208	328	2	the	the	DET
fcis-32208	328	3	threshold	threshold	NOUN
fcis-32208	328	4	exceeds	exceed	VERB
fcis-32208	328	5	0.6	0.6	NUM
fcis-32208	328	6	,	,	PUNCT
fcis-32208	328	7	the	the	DET
fcis-32208	328	8	model	model	NOUN
fcis-32208	328	9	's	's	PART
fcis-32208	328	10	loss	loss	NOUN
fcis-32208	328	11	begins	begin	VERB
fcis-32208	328	12	to	to	PART
fcis-32208	328	13	decrease	decrease	VERB
fcis-32208	328	14	.	.	PUNCT
fcis-32208	329	1	a	a	DET
fcis-32208	329	2	too	too	ADV
fcis-32208	329	3	-	-	PUNCT
fcis-32208	329	4	low	low	ADJ
fcis-32208	329	5	threshold	threshold	NOUN
fcis-32208	329	6	results	result	NOUN
fcis-32208	329	7	in	in	ADP
fcis-32208	329	8	a	a	DET
fcis-32208	329	9	high	high	ADJ
fcis-32208	329	10	false	false	ADJ
fcis-32208	329	11	-	-	PUNCT
fcis-32208	329	12	positive	positive	ADJ
fcis-32208	329	13	rate	rate	NOUN
fcis-32208	329	14	,	,	PUNCT
fcis-32208	329	15	while	while	SCONJ
fcis-32208	329	16	a	a	DET
fcis-32208	329	17	too	too	ADV
fcis-32208	329	18	-	-	PUNCT
fcis-32208	329	19	high	high	ADJ
fcis-32208	329	20	threshold	threshold	NOUN
fcis-32208	329	21	lowers	lower	VERB
fcis-32208	329	22	the	the	DET
fcis-32208	329	23	detection	detection	NOUN
fcis-32208	329	24	rate	rate	NOUN
fcis-32208	329	25	.	.	PUNCT
fcis-32208	330	1	the	the	DET
fcis-32208	330	2	optimal	optimal	ADJ
fcis-32208	330	3	anomaly	anomaly	NOUN
fcis-32208	330	4	17	17	NUM
fcis-32208	330	5	detection	detection	NOUN
fcis-32208	330	6	performance	performance	NOUN
fcis-32208	330	7	is	be	AUX
fcis-32208	330	8	achieved	achieve	VERB
fcis-32208	330	9	at	at	ADP
fcis-32208	330	10	a	a	DET
fcis-32208	330	11	threshold	threshold	NOUN
fcis-32208	330	12	of	of	ADP
fcis-32208	330	13	0.6	0.6	NUM
fcis-32208	330	14	.	.	PUNCT
fcis-32208	331	1	fig	fig	PROPN
fcis-32208	331	2	7	7	NUM
fcis-32208	331	3	.	.	PUNCT
fcis-32208	331	4	standardized	standardize	VERB
fcis-32208	331	5	causal	causal	PROPN
fcis-32208	331	6	entropy	entropy	NOUN
fcis-32208	331	7	between	between	ADP
fcis-32208	331	8	partial	partial	ADJ
fcis-32208	331	9	events	event	NOUN
fcis-32208	331	10	.	.	PUNCT
fcis-32208	332	1	finally	finally	ADV
fcis-32208	332	2	,	,	PUNCT
fcis-32208	332	3	graphs	graph	NOUN
fcis-32208	332	4	(	(	PUNCT
fcis-32208	332	5	g	g	NOUN
fcis-32208	332	6	)	)	PUNCT
fcis-32208	332	7	and	and	CCONJ
fcis-32208	332	8	(	(	PUNCT
fcis-32208	332	9	h	h	NOUN
fcis-32208	332	10	)	)	PUNCT
fcis-32208	332	11	depict	depict	NOUN
fcis-32208	332	12	changes	change	NOUN
fcis-32208	332	13	in	in	ADP
fcis-32208	332	14	model	model	NOUN
fcis-32208	332	15	performance	performance	NOUN
fcis-32208	332	16	with	with	ADP
fcis-32208	332	17	varying	vary	VERB
fcis-32208	332	18	training	training	NOUN
fcis-32208	332	19	epochs	epoch	NOUN
fcis-32208	332	20	.	.	PUNCT
fcis-32208	333	1	within	within	ADP
fcis-32208	333	2	a	a	DET
fcis-32208	333	3	certain	certain	ADJ
fcis-32208	333	4	range	range	NOUN
fcis-32208	333	5	of	of	ADP
fcis-32208	333	6	training	training	NOUN
fcis-32208	333	7	iterations	iteration	NOUN
fcis-32208	333	8	,	,	PUNCT
fcis-32208	333	9	performance	performance	NOUN
fcis-32208	333	10	improves	improve	VERB
fcis-32208	333	11	with	with	ADP
fcis-32208	333	12	an	an	DET
fcis-32208	333	13	increase	increase	NOUN
fcis-32208	333	14	in	in	ADP
fcis-32208	333	15	the	the	DET
fcis-32208	333	16	number	number	NOUN
fcis-32208	333	17	of	of	ADP
fcis-32208	333	18	iterations	iteration	NOUN
fcis-32208	333	19	.	.	PUNCT
fcis-32208	334	1	however	however	ADV
fcis-32208	334	2	,	,	PUNCT
fcis-32208	334	3	beyond	beyond	ADP
fcis-32208	334	4	a	a	DET
fcis-32208	334	5	certain	certain	ADJ
fcis-32208	334	6	point	point	NOUN
fcis-32208	334	7	,	,	PUNCT
fcis-32208	334	8	performance	performance	NOUN
fcis-32208	334	9	reaches	reach	VERB
fcis-32208	334	10	a	a	DET
fcis-32208	334	11	saturation	saturation	NOUN
fcis-32208	334	12	point	point	NOUN
fcis-32208	334	13	.	.	PUNCT
fcis-32208	335	1	therefore	therefore	ADV
fcis-32208	335	2	,	,	PUNCT
fcis-32208	335	3	it	it	PRON
fcis-32208	335	4	is	be	AUX
fcis-32208	335	5	necessary	necessary	ADJ
fcis-32208	335	6	to	to	PART
fcis-32208	335	7	balance	balance	VERB
fcis-32208	335	8	the	the	DET
fcis-32208	335	9	choice	choice	NOUN
fcis-32208	335	10	of	of	ADP
fcis-32208	335	11	iteration	iteration	NOUN
fcis-32208	335	12	numbers	number	NOUN
fcis-32208	335	13	to	to	PART
fcis-32208	335	14	avoid	avoid	VERB
fcis-32208	335	15	performance	performance	NOUN
fcis-32208	335	16	degradation	degradation	NOUN
fcis-32208	335	17	.	.	PUNCT
fcis-32208	336	1	4.6	4.6	NUM
fcis-32208	336	2	.	.	PUNCT
fcis-32208	336	3	ablation	ablation	NOUN
fcis-32208	336	4	study	study	NOUN
fcis-32208	336	5	table	table	NOUN
fcis-32208	336	6	3	3	NUM
fcis-32208	336	7	.	.	PUNCT
fcis-32208	337	1	hdfs	hdfs	PROPN
fcis-32208	337	2	ablation	ablation	NOUN
fcis-32208	337	3	results	result	VERB
fcis-32208	337	4	model	model	PROPN
fcis-32208	337	5	precision	precision	PROPN
fcis-32208	337	6	recall	recall	NOUN
fcis-32208	337	7	f1	f1	NOUN
fcis-32208	337	8	-	-	PUNCT
fcis-32208	337	9	score	score	NOUN
fcis-32208	337	10	w/o	w/o	ADP
fcis-32208	337	11	sc	sc	PROPN
fcis-32208	337	12	43.7	43.7	NUM
fcis-32208	337	13	%	%	NOUN
fcis-32208	337	14	75.2	75.2	NUM
fcis-32208	337	15	%	%	NOUN
fcis-32208	337	16	55.3	55.3	NUM
fcis-32208	337	17	%	%	NOUN
fcis-32208	337	18	w/o	w/o	ADP
fcis-32208	337	19	sel	sel	NOUN
fcis-32208	337	20	-	-	PUNCT
fcis-32208	337	21	attgru	attgru	PROPN
fcis-32208	337	22	86.8	86.8	NUM
fcis-32208	337	23	%	%	NOUN
fcis-32208	337	24	86.8	86.8	NUM
fcis-32208	337	25	%	%	NOUN
fcis-32208	337	26	81.4	81.4	NUM
fcis-32208	337	27	%	%	NOUN
fcis-32208	337	28	w/o	w/o	ADP
fcis-32208	337	29	lstm	lstm	NOUN
fcis-32208	337	30	87.3	87.3	NUM
fcis-32208	337	31	%	%	NOUN
fcis-32208	337	32	81.2	81.2	NUM
fcis-32208	337	33	%	%	NOUN
fcis-32208	337	34	84.1	84.1	NUM
fcis-32208	337	35	%	%	NOUN
fcis-32208	337	36	ganaed	ganae	VERB
fcis-32208	337	37	93.7	93.7	NUM
fcis-32208	337	38	%	%	NOUN
fcis-32208	337	39	89.6	89.6	NUM
fcis-32208	337	40	%	%	NOUN
fcis-32208	337	41	91.6	91.6	NUM
fcis-32208	337	42	%	%	NOUN
fcis-32208	337	43	to	to	PART
fcis-32208	337	44	further	far	ADV
fcis-32208	337	45	explore	explore	VERB
fcis-32208	337	46	the	the	DET
fcis-32208	337	47	specific	specific	ADJ
fcis-32208	337	48	impact	impact	NOUN
fcis-32208	337	49	of	of	ADP
fcis-32208	337	50	key	key	ADJ
fcis-32208	337	51	technologies	technology	NOUN
fcis-32208	337	52	in	in	ADP
fcis-32208	337	53	ganaed	ganaed	ADJ
fcis-32208	337	54	on	on	ADP
fcis-32208	337	55	model	model	NOUN
fcis-32208	337	56	performance	performance	NOUN
fcis-32208	337	57	,	,	PUNCT
fcis-32208	337	58	we	we	PRON
fcis-32208	337	59	assessed	assess	VERB
fcis-32208	337	60	the	the	DET
fcis-32208	337	61	performance	performance	NOUN
fcis-32208	337	62	of	of	ADP
fcis-32208	337	63	the	the	DET
fcis-32208	337	64	model	model	NOUN
fcis-32208	337	65	without	without	ADP
fcis-32208	337	66	normalized	normalize	VERB
fcis-32208	337	67	causal	causal	PROPN
fcis-32208	337	68	entropy	entropy	PROPN
fcis-32208	337	69	,	,	PUNCT
fcis-32208	337	70	gru	gru	NOUN
fcis-32208	337	71	lacking	lack	VERB
fcis-32208	337	72	the	the	DET
fcis-32208	337	73	self	self	NOUN
fcis-32208	337	74	-	-	PUNCT
fcis-32208	337	75	attention	attention	NOUN
fcis-32208	337	76	mechanism	mechanism	NOUN
fcis-32208	337	77	,	,	PUNCT
fcis-32208	337	78	and	and	CCONJ
fcis-32208	337	79	excluding	exclude	VERB
fcis-32208	337	80	the	the	DET
fcis-32208	337	81	lstm	lstm	PROPN
fcis-32208	337	82	network	network	NOUN
fcis-32208	337	83	.	.	PUNCT
fcis-32208	338	1	according	accord	VERB
fcis-32208	338	2	to	to	ADP
fcis-32208	338	3	the	the	DET
fcis-32208	338	4	data	datum	NOUN
fcis-32208	338	5	in	in	ADP
fcis-32208	338	6	tables	table	NOUN
fcis-32208	338	7	3	3	NUM
fcis-32208	338	8	and	and	CCONJ
fcis-32208	338	9	4	4	NUM
fcis-32208	338	10	,	,	PUNCT
fcis-32208	338	11	models	model	NOUN
fcis-32208	338	12	lacking	lack	VERB
fcis-32208	338	13	normalized	normalize	VERB
fcis-32208	338	14	causal	causal	PROPN
fcis-32208	338	15	entropy	entropy	PROPN
fcis-32208	338	16	exhibited	exhibit	VERB
fcis-32208	338	17	lower	low	ADJ
fcis-32208	338	18	18	18	NUM
fcis-32208	338	19	accuracy	accuracy	NOUN
fcis-32208	338	20	and	and	CCONJ
fcis-32208	338	21	f1	f1	NOUN
fcis-32208	338	22	-	-	PUNCT
fcis-32208	338	23	score	score	NOUN
fcis-32208	338	24	on	on	ADP
fcis-32208	338	25	both	both	CCONJ
fcis-32208	338	26	hdfs	hdfs	NOUN
fcis-32208	338	27	and	and	CCONJ
fcis-32208	338	28	unsw	unsw	NOUN
fcis-32208	338	29	-	-	PUNCT
fcis-32208	338	30	nb15	nb15	PROPN
fcis-32208	338	31	datasets	dataset	NOUN
fcis-32208	338	32	compared	compare	VERB
fcis-32208	338	33	to	to	ADP
fcis-32208	338	34	the	the	DET
fcis-32208	338	35	complete	complete	ADJ
fcis-32208	338	36	ganaed	ganaed	NOUN
fcis-32208	338	37	model	model	NOUN
fcis-32208	338	38	.	.	PUNCT
fcis-32208	339	1	this	this	DET
fcis-32208	339	2	phenomenon	phenomenon	NOUN
fcis-32208	339	3	indicates	indicate	VERB
fcis-32208	339	4	that	that	SCONJ
fcis-32208	339	5	the	the	DET
fcis-32208	339	6	inclusion	inclusion	NOUN
fcis-32208	339	7	of	of	ADP
fcis-32208	339	8	normalized	normalize	VERB
fcis-32208	339	9	causal	causal	PROPN
fcis-32208	339	10	entropy	entropy	NOUN
fcis-32208	339	11	plays	play	VERB
fcis-32208	339	12	a	a	DET
fcis-32208	339	13	crucial	crucial	ADJ
fcis-32208	339	14	role	role	NOUN
fcis-32208	339	15	in	in	ADP
fcis-32208	339	16	uncovering	uncover	VERB
fcis-32208	339	17	causal	causal	ADJ
fcis-32208	339	18	connections	connection	NOUN
fcis-32208	339	19	between	between	ADP
fcis-32208	339	20	log	log	NOUN
fcis-32208	339	21	events	event	NOUN
fcis-32208	339	22	and	and	CCONJ
fcis-32208	339	23	tracking	tracking	NOUN
fcis-32208	339	24	event	event	NOUN
fcis-32208	339	25	propagation	propagation	NOUN
fcis-32208	339	26	trends	trend	NOUN
fcis-32208	339	27	.	.	PUNCT
fcis-32208	340	1	table	table	NOUN
fcis-32208	340	2	4	4	NUM
fcis-32208	340	3	.	.	PUNCT
fcis-32208	340	4	unsw	unsw	NOUN
fcis-32208	340	5	-	-	PUNCT
fcis-32208	340	6	nb15	nb15	PROPN
fcis-32208	340	7	ablation	ablation	NOUN
fcis-32208	340	8	results	result	VERB
fcis-32208	340	9	model	model	PROPN
fcis-32208	340	10	precision	precision	NOUN
fcis-32208	340	11	recall	recall	NOUN
fcis-32208	340	12	f1	f1	NOUN
fcis-32208	340	13	-	-	PUNCT
fcis-32208	340	14	score	score	NOUN
fcis-32208	340	15	w/o	w/o	ADP
fcis-32208	340	16	sc	sc	PROPN
fcis-32208	340	17	50.2	50.2	NUM
fcis-32208	340	18	%	%	NOUN
fcis-32208	340	19	74.1	74.1	NUM
fcis-32208	340	20	%	%	NOUN
fcis-32208	340	21	59.9	59.9	NUM
fcis-32208	340	22	%	%	NOUN
fcis-32208	340	23	w/o	w/o	ADP
fcis-32208	340	24	sel	sel	NOUN
fcis-32208	340	25	-	-	PUNCT
fcis-32208	340	26	attgru	attgru	PROPN
fcis-32208	340	27	84.7	84.7	NUM
fcis-32208	340	28	%	%	NOUN
fcis-32208	340	29	79.0	79.0	NUM
fcis-32208	340	30	%	%	NOUN
fcis-32208	340	31	81.8	81.8	NUM
fcis-32208	340	32	%	%	NOUN
fcis-32208	340	33	w/o	w/o	ADP
fcis-32208	340	34	lstm	lstm	NOUN
fcis-32208	340	35	89.7	89.7	NUM
fcis-32208	340	36	%	%	NOUN
fcis-32208	340	37	79.2	79.2	NUM
fcis-32208	340	38	%	%	NOUN
fcis-32208	340	39	84.1	84.1	NUM
fcis-32208	340	40	%	%	NOUN
fcis-32208	340	41	ganaed	ganae	VERB
fcis-32208	340	42	92.0	92.0	NUM
fcis-32208	340	43	%	%	NOUN
fcis-32208	340	44	91.5	91.5	NUM
fcis-32208	340	45	%	%	NOUN
fcis-32208	340	46	91.7	91.7	NUM
fcis-32208	340	47	%	%	NOUN
fcis-32208	340	48	additionally	additionally	ADV
fcis-32208	340	49	,	,	PUNCT
fcis-32208	340	50	we	we	PRON
fcis-32208	340	51	found	find	VERB
fcis-32208	340	52	that	that	SCONJ
fcis-32208	340	53	models	model	NOUN
fcis-32208	340	54	without	without	ADP
fcis-32208	340	55	the	the	DET
fcis-32208	340	56	selfattention	selfattention	PROPN
fcis-32208	340	57	mechanism	mechanism	NOUN
fcis-32208	340	58	gru	gru	PROPN
fcis-32208	340	59	,	,	PUNCT
fcis-32208	340	60	especially	especially	ADV
fcis-32208	340	61	on	on	ADP
fcis-32208	340	62	the	the	DET
fcis-32208	340	63	unsw	unsw	PROPN
fcis-32208	340	64	-	-	PUNCT
fcis-32208	340	65	nb15	nb15	PROPN
fcis-32208	340	66	dataset	dataset	NOUN
fcis-32208	340	67	,	,	PUNCT
fcis-32208	340	68	performed	perform	VERB
fcis-32208	340	69	worse	worse	ADV
fcis-32208	340	70	in	in	ADP
fcis-32208	340	71	terms	term	NOUN
fcis-32208	340	72	of	of	ADP
fcis-32208	340	73	accuracy	accuracy	NOUN
fcis-32208	340	74	and	and	CCONJ
fcis-32208	340	75	recall	recall	NOUN
fcis-32208	340	76	compared	compare	VERB
fcis-32208	340	77	to	to	ADP
fcis-32208	340	78	the	the	DET
fcis-32208	340	79	complete	complete	ADJ
fcis-32208	340	80	ganaed	ganaed	NOUN
fcis-32208	340	81	.	.	PUNCT
fcis-32208	341	1	on	on	ADP
fcis-32208	341	2	the	the	DET
fcis-32208	341	3	hdfs	hdfs	NOUN
fcis-32208	341	4	dataset	dataset	NOUN
fcis-32208	341	5	,	,	PUNCT
fcis-32208	341	6	while	while	SCONJ
fcis-32208	341	7	the	the	DET
fcis-32208	341	8	gru	gru	NOUN
fcis-32208	341	9	model	model	NOUN
fcis-32208	341	10	without	without	ADP
fcis-32208	341	11	self	self	NOUN
fcis-32208	341	12	-	-	PUNCT
fcis-32208	341	13	attention	attention	NOUN
fcis-32208	341	14	mechanism	mechanism	NOUN
fcis-32208	341	15	achieved	achieve	VERB
fcis-32208	341	16	higher	high	ADJ
fcis-32208	341	17	accuracy	accuracy	NOUN
fcis-32208	341	18	,	,	PUNCT
fcis-32208	341	19	its	its	PRON
fcis-32208	341	20	recall	recall	NOUN
fcis-32208	341	21	rate	rate	NOUN
fcis-32208	341	22	was	be	AUX
fcis-32208	341	23	significantly	significantly	ADV
fcis-32208	341	24	lower	low	ADJ
fcis-32208	341	25	than	than	ADP
fcis-32208	341	26	that	that	PRON
fcis-32208	341	27	of	of	ADP
fcis-32208	341	28	the	the	DET
fcis-32208	341	29	complete	complete	ADJ
fcis-32208	341	30	model	model	NOUN
fcis-32208	341	31	,	,	PUNCT
fcis-32208	341	32	leading	lead	VERB
fcis-32208	341	33	to	to	ADP
fcis-32208	341	34	a	a	DET
fcis-32208	341	35	decrease	decrease	NOUN
fcis-32208	341	36	in	in	ADP
fcis-32208	341	37	overall	overall	ADJ
fcis-32208	341	38	f1	f1	NOUN
fcis-32208	341	39	-	-	PUNCT
fcis-32208	341	40	score	score	NOUN
fcis-32208	341	41	.	.	PUNCT
fcis-32208	342	1	these	these	DET
fcis-32208	342	2	results	result	NOUN
fcis-32208	342	3	suggest	suggest	VERB
fcis-32208	342	4	that	that	SCONJ
fcis-32208	342	5	the	the	DET
fcis-32208	342	6	introduction	introduction	NOUN
fcis-32208	342	7	of	of	ADP
fcis-32208	342	8	the	the	DET
fcis-32208	342	9	self	self	NOUN
fcis-32208	342	10	-	-	PUNCT
fcis-32208	342	11	attention	attention	NOUN
fcis-32208	342	12	mechanism	mechanism	NOUN
fcis-32208	342	13	,	,	PUNCT
fcis-32208	342	14	by	by	ADP
fcis-32208	342	15	focusing	focus	VERB
fcis-32208	342	16	more	more	ADV
fcis-32208	342	17	on	on	ADP
fcis-32208	342	18	key	key	ADJ
fcis-32208	342	19	topics	topic	NOUN
fcis-32208	342	20	or	or	CCONJ
fcis-32208	342	21	words	word	NOUN
fcis-32208	342	22	and	and	CCONJ
fcis-32208	342	23	reducing	reduce	VERB
fcis-32208	342	24	semantic	semantic	ADJ
fcis-32208	342	25	differences	difference	NOUN
fcis-32208	342	26	between	between	ADP
fcis-32208	342	27	log	log	NOUN
fcis-32208	342	28	texts	text	NOUN
fcis-32208	342	29	,	,	PUNCT
fcis-32208	342	30	is	be	AUX
fcis-32208	342	31	crucial	crucial	ADJ
fcis-32208	342	32	for	for	ADP
fcis-32208	342	33	enhancing	enhance	VERB
fcis-32208	342	34	model	model	NOUN
fcis-32208	342	35	performance	performance	NOUN
fcis-32208	342	36	.	.	PUNCT
fcis-32208	343	1	lastly	lastly	ADV
fcis-32208	343	2	,	,	PUNCT
fcis-32208	343	3	when	when	SCONJ
fcis-32208	343	4	testing	testing	NOUN
fcis-32208	343	5	models	model	NOUN
fcis-32208	343	6	without	without	ADP
fcis-32208	343	7	the	the	DET
fcis-32208	343	8	lstm	lstm	PROPN
fcis-32208	343	9	network	network	NOUN
fcis-32208	343	10	on	on	ADP
fcis-32208	343	11	both	both	DET
fcis-32208	343	12	datasets	dataset	NOUN
fcis-32208	343	13	,	,	PUNCT
fcis-32208	343	14	we	we	PRON
fcis-32208	343	15	observed	observe	VERB
fcis-32208	343	16	a	a	DET
fcis-32208	343	17	decline	decline	NOUN
fcis-32208	343	18	in	in	ADP
fcis-32208	343	19	accuracy	accuracy	NOUN
fcis-32208	343	20	of	of	ADP
fcis-32208	343	21	6.4	6.4	NUM
fcis-32208	343	22	%	%	NOUN
fcis-32208	343	23	and	and	CCONJ
fcis-32208	343	24	4.9	4.9	NUM
fcis-32208	343	25	%	%	NOUN
fcis-32208	343	26	respectively	respectively	ADV
fcis-32208	343	27	compared	compare	VERB
fcis-32208	343	28	to	to	ADP
fcis-32208	343	29	the	the	DET
fcis-32208	343	30	complete	complete	ADJ
fcis-32208	343	31	ganaed	ganaed	NOUN
fcis-32208	343	32	.	.	PUNCT
fcis-32208	344	1	this	this	DET
fcis-32208	344	2	outcome	outcome	NOUN
fcis-32208	344	3	highlights	highlight	VERB
fcis-32208	344	4	the	the	DET
fcis-32208	344	5	importance	importance	NOUN
fcis-32208	344	6	of	of	ADP
fcis-32208	344	7	the	the	DET
fcis-32208	344	8	lstm	lstm	PROPN
fcis-32208	344	9	network	network	NOUN
fcis-32208	344	10	in	in	ADP
fcis-32208	344	11	capturing	capture	VERB
fcis-32208	344	12	temporal	temporal	ADJ
fcis-32208	344	13	dependencies	dependency	NOUN
fcis-32208	344	14	and	and	CCONJ
fcis-32208	344	15	event	event	NOUN
fcis-32208	344	16	context	context	NOUN
fcis-32208	344	17	,	,	PUNCT
fcis-32208	344	18	enabling	enable	VERB
fcis-32208	344	19	ganaed	ganaed	NOUN
fcis-32208	344	20	to	to	PART
fcis-32208	344	21	more	more	ADV
fcis-32208	344	22	comprehensively	comprehensively	ADV
fcis-32208	344	23	judge	judge	VERB
fcis-32208	344	24	the	the	DET
fcis-32208	344	25	normality	normality	NOUN
fcis-32208	344	26	or	or	CCONJ
fcis-32208	344	27	anomaly	anomaly	NOUN
fcis-32208	344	28	of	of	ADP
fcis-32208	344	29	events	event	NOUN
fcis-32208	344	30	,	,	PUNCT
fcis-32208	344	31	thereby	thereby	ADV
fcis-32208	344	32	effectively	effectively	ADV
fcis-32208	344	33	improving	improve	VERB
fcis-32208	344	34	the	the	DET
fcis-32208	344	35	efficiency	efficiency	NOUN
fcis-32208	344	36	and	and	CCONJ
fcis-32208	344	37	accuracy	accuracy	NOUN
fcis-32208	344	38	of	of	ADP
fcis-32208	344	39	anomaly	anomaly	NOUN
fcis-32208	344	40	detection	detection	NOUN
fcis-32208	344	41	.	.	PUNCT
fcis-32208	345	1	5	5	X
fcis-32208	345	2	.	.	X
fcis-32208	345	3	conclusion	conclusion	NOUN
fcis-32208	345	4	this	this	DET
fcis-32208	345	5	paper	paper	NOUN
fcis-32208	345	6	presents	present	NOUN
fcis-32208	345	7	causal	causal	NOUN
fcis-32208	345	8	entropy	entropy	PROPN
fcis-32208	345	9	–	–	PUNCT
fcis-32208	345	10	driven	drive	VERB
fcis-32208	345	11	generative	generative	ADJ
fcis-32208	345	12	adversarial	adversarial	ADJ
fcis-32208	345	13	learning	learning	NOUN
fcis-32208	345	14	for	for	ADP
fcis-32208	345	15	anomalous	anomalous	ADJ
fcis-32208	345	16	event	event	NOUN
fcis-32208	345	17	detection	detection	NOUN
fcis-32208	345	18	in	in	ADP
fcis-32208	345	19	social	social	ADJ
fcis-32208	345	20	networks	network	NOUN
fcis-32208	345	21	,	,	PUNCT
fcis-32208	345	22	a	a	DET
fcis-32208	345	23	framework	framework	NOUN
fcis-32208	345	24	that	that	PRON
fcis-32208	345	25	integrates	integrate	VERB
fcis-32208	345	26	log	log	NOUN
fcis-32208	345	27	parsing	parsing	NOUN
fcis-32208	345	28	,	,	PUNCT
fcis-32208	345	29	causal	causal	NOUN
fcis-32208	345	30	relationship	relationship	NOUN
fcis-32208	345	31	mining	mining	NOUN
fcis-32208	345	32	,	,	PUNCT
fcis-32208	345	33	and	and	CCONJ
fcis-32208	345	34	adversarial	adversarial	ADJ
fcis-32208	345	35	learning	learning	NOUN
fcis-32208	345	36	to	to	PART
fcis-32208	345	37	address	address	VERB
fcis-32208	345	38	the	the	DET
fcis-32208	345	39	challenges	challenge	NOUN
fcis-32208	345	40	of	of	ADP
fcis-32208	345	41	dynamic	dynamic	ADJ
fcis-32208	345	42	environments	environment	NOUN
fcis-32208	345	43	and	and	CCONJ
fcis-32208	345	44	complex	complex	ADJ
fcis-32208	345	45	inter	inter	ADJ
fcis-32208	345	46	-	-	ADJ
fcis-32208	345	47	event	event	ADJ
fcis-32208	345	48	dependencies	dependency	NOUN
fcis-32208	345	49	.	.	PUNCT
fcis-32208	346	1	by	by	ADP
fcis-32208	346	2	converting	convert	VERB
fcis-32208	346	3	unstructured	unstructured	ADJ
fcis-32208	346	4	logs	log	NOUN
fcis-32208	346	5	into	into	ADP
fcis-32208	346	6	structured	structured	ADJ
fcis-32208	346	7	events	event	NOUN
fcis-32208	346	8	,	,	PUNCT
fcis-32208	346	9	employing	employ	VERB
fcis-32208	346	10	normalized	normalize	VERB
fcis-32208	346	11	causal	causal	ADJ
fcis-32208	346	12	entropy	entropy	NOUN
fcis-32208	346	13	to	to	PART
fcis-32208	346	14	capture	capture	VERB
fcis-32208	346	15	causal	causal	ADJ
fcis-32208	346	16	strengths	strength	NOUN
fcis-32208	346	17	,	,	PUNCT
fcis-32208	346	18	and	and	CCONJ
fcis-32208	346	19	designing	design	VERB
fcis-32208	346	20	a	a	DET
fcis-32208	346	21	generative	generative	ADJ
fcis-32208	346	22	adversarial	adversarial	ADJ
fcis-32208	346	23	architecture	architecture	NOUN
fcis-32208	346	24	that	that	PRON
fcis-32208	346	25	combines	combine	VERB
fcis-32208	346	26	self	self	NOUN
fcis-32208	346	27	-	-	PUNCT
fcis-32208	346	28	attention	attention	NOUN
fcis-32208	346	29	with	with	ADP
fcis-32208	346	30	gru	gru	NOUN
fcis-32208	346	31	and	and	CCONJ
fcis-32208	346	32	lstm	lstm	NOUN
fcis-32208	346	33	for	for	ADP
fcis-32208	346	34	semantic	semantic	ADJ
fcis-32208	346	35	modeling	modeling	NOUN
fcis-32208	346	36	,	,	PUNCT
fcis-32208	346	37	the	the	DET
fcis-32208	346	38	proposed	propose	VERB
fcis-32208	346	39	method	method	NOUN
fcis-32208	346	40	achieves	achieve	VERB
fcis-32208	346	41	approximately	approximately	ADV
fcis-32208	346	42	6.5	6.5	NUM
fcis-32208	346	43	%	%	NOUN
fcis-32208	346	44	higher	high	ADJ
fcis-32208	346	45	detection	detection	NOUN
fcis-32208	346	46	accuracy	accuracy	NOUN
fcis-32208	346	47	than	than	ADP
fcis-32208	346	48	baseline	baseline	NOUN
fcis-32208	346	49	approaches	approach	NOUN
fcis-32208	346	50	,	,	PUNCT
fcis-32208	346	51	demonstrating	demonstrate	VERB
fcis-32208	346	52	both	both	DET
fcis-32208	346	53	effectiveness	effectiveness	NOUN
fcis-32208	346	54	and	and	CCONJ
fcis-32208	346	55	robustness	robustness	NOUN
fcis-32208	346	56	.	.	PUNCT
fcis-32208	347	1	looking	look	VERB
fcis-32208	347	2	ahead	ahead	ADV
fcis-32208	347	3	,	,	PUNCT
fcis-32208	347	4	since	since	SCONJ
fcis-32208	347	5	anomalous	anomalous	ADJ
fcis-32208	347	6	events	event	NOUN
fcis-32208	347	7	in	in	ADP
fcis-32208	347	8	social	social	ADJ
fcis-32208	347	9	networks	network	NOUN
fcis-32208	347	10	often	often	ADV
fcis-32208	347	11	extend	extend	VERB
fcis-32208	347	12	beyond	beyond	ADP
fcis-32208	347	13	textual	textual	ADJ
fcis-32208	347	14	logs	log	NOUN
fcis-32208	347	15	to	to	ADP
fcis-32208	347	16	multimodal	multimodal	NOUN
fcis-32208	347	17	content	content	NOUN
fcis-32208	347	18	such	such	ADJ
fcis-32208	347	19	as	as	ADP
fcis-32208	347	20	images	image	NOUN
fcis-32208	347	21	,	,	PUNCT
fcis-32208	347	22	videos	video	NOUN
fcis-32208	347	23	,	,	PUNCT
fcis-32208	347	24	and	and	CCONJ
fcis-32208	347	25	audio	audio	NOUN
fcis-32208	347	26	,	,	PUNCT
fcis-32208	347	27	future	future	ADJ
fcis-32208	347	28	research	research	NOUN
fcis-32208	347	29	could	could	AUX
fcis-32208	347	30	focus	focus	VERB
fcis-32208	347	31	on	on	ADP
fcis-32208	347	32	extending	extend	VERB
fcis-32208	347	33	this	this	DET
fcis-32208	347	34	framework	framework	NOUN
fcis-32208	347	35	to	to	ADP
fcis-32208	347	36	heterogeneous	heterogeneous	ADJ
fcis-32208	347	37	data	datum	NOUN
fcis-32208	347	38	sources	source	NOUN
fcis-32208	347	39	for	for	ADP
fcis-32208	347	40	more	more	ADV
fcis-32208	347	41	comprehensive	comprehensive	ADJ
fcis-32208	347	42	and	and	CCONJ
fcis-32208	347	43	reliable	reliable	ADJ
fcis-32208	347	44	anomaly	anomaly	NOUN
fcis-32208	347	45	detection	detection	NOUN
fcis-32208	347	46	.	.	PUNCT
fcis-32208	348	1	references	reference	NOUN
fcis-32208	348	2	[	[	X
fcis-32208	348	3	1	1	X
fcis-32208	348	4	]	]	PUNCT
fcis-32208	348	5	k.	k.	PROPN
fcis-32208	348	6	z.	z.	PROPN
fcis-32208	348	7	khanam	khanam	PROPN
fcis-32208	348	8	,	,	PUNCT
fcis-32208	348	9	g.	g.	PROPN
fcis-32208	348	10	srivastava	srivastava	PROPN
fcis-32208	348	11	,	,	PUNCT
fcis-32208	348	12	and	and	CCONJ
fcis-32208	348	13	v.	v.	ADP
fcis-32208	348	14	mago	mago	PROPN
fcis-32208	348	15	,	,	PUNCT
fcis-32208	348	16	‘	'	PUNCT
fcis-32208	348	17	‘	'	PUNCT
fcis-32208	348	18	the	the	DET
fcis-32208	348	19	homophily	homophily	ADJ
fcis-32208	348	20	principle	principle	NOUN
fcis-32208	348	21	in	in	ADP
fcis-32208	348	22	social	social	ADJ
fcis-32208	348	23	network	network	NOUN
fcis-32208	348	24	analysis	analysis	NOUN
fcis-32208	348	25	:	:	PUNCT
fcis-32208	348	26	a	a	DET
fcis-32208	348	27	survey	survey	NOUN
fcis-32208	348	28	,	,	PUNCT
fcis-32208	348	29	’’	’'	PUNCT
fcis-32208	348	30	multimedia	multimedia	NOUN
fcis-32208	348	31	tools	tool	NOUN
fcis-32208	348	32	and	and	CCONJ
fcis-32208	348	33	applications	application	NOUN
fcis-32208	348	34	,	,	PUNCT
fcis-32208	348	35	vol	vol	NOUN
fcis-32208	348	36	.	.	PROPN
fcis-32208	348	37	82	82	NUM
fcis-32208	348	38	,	,	PUNCT
fcis-32208	348	39	no	no	INTJ
fcis-32208	348	40	.	.	NOUN
fcis-32208	348	41	6	6	NUM
fcis-32208	348	42	,	,	PUNCT
fcis-32208	348	43	pp	pp	ADJ
fcis-32208	348	44	.	.	PUNCT
fcis-32208	348	45	8811–8854	8811–8854	NUM
fcis-32208	348	46	,	,	PUNCT
fcis-32208	348	47	2023	2023	NUM
fcis-32208	348	48	.	.	PUNCT
fcis-32208	349	1	[	[	X
fcis-32208	349	2	2	2	X
fcis-32208	349	3	]	]	PUNCT
fcis-32208	349	4	s.	s.	PROPN
fcis-32208	349	5	r.	r.	PROPN
fcis-32208	349	6	sahoo	sahoo	PROPN
fcis-32208	349	7	and	and	CCONJ
fcis-32208	349	8	b.	b.	PROPN
fcis-32208	349	9	b.	b.	PROPN
fcis-32208	349	10	gupta	gupta	PROPN
fcis-32208	349	11	,	,	PUNCT
fcis-32208	349	12	‘	'	PUNCT
fcis-32208	349	13	‘	'	PUNCT
fcis-32208	349	14	multiple	multiple	ADJ
fcis-32208	349	15	features	feature	NOUN
fcis-32208	349	16	based	base	VERB
fcis-32208	349	17	approach	approach	NOUN
fcis-32208	349	18	for	for	ADP
fcis-32208	349	19	automatic	automatic	ADJ
fcis-32208	349	20	fake	fake	ADJ
fcis-32208	349	21	news	news	NOUN
fcis-32208	349	22	detection	detection	NOUN
fcis-32208	349	23	on	on	ADP
fcis-32208	349	24	social	social	ADJ
fcis-32208	349	25	networks	network	NOUN
fcis-32208	349	26	using	use	VERB
fcis-32208	349	27	deep	deep	ADJ
fcis-32208	349	28	learning	learning	NOUN
fcis-32208	349	29	,	,	PUNCT
fcis-32208	349	30	’’	’'	PUNCT
fcis-32208	349	31	applied	apply	VERB
fcis-32208	349	32	soft	soft	ADJ
fcis-32208	349	33	computing	computing	NOUN
fcis-32208	349	34	,	,	PUNCT
fcis-32208	349	35	vol	vol	NOUN
fcis-32208	349	36	.	.	NOUN
fcis-32208	349	37	100	100	NUM
fcis-32208	349	38	,	,	PUNCT
fcis-32208	349	39	p.	p.	NOUN
fcis-32208	349	40	106983	106983	NUM
fcis-32208	349	41	,	,	PUNCT
fcis-32208	349	42	2021	2021	NUM
fcis-32208	349	43	.	.	PUNCT
fcis-32208	350	1	[	[	X
fcis-32208	350	2	3	3	NUM
fcis-32208	350	3	]	]	PUNCT
fcis-32208	350	4	a.	a.	NOUN
fcis-32208	350	5	e.	e.	PROPN
fcis-32208	350	6	ezugwu	ezugwu	PROPN
fcis-32208	350	7	,	,	PUNCT
fcis-32208	350	8	a.	a.	NOUN
fcis-32208	350	9	m.	m.	NOUN
fcis-32208	350	10	ikotun	ikotun	PROPN
fcis-32208	350	11	,	,	PUNCT
fcis-32208	350	12	o.	o.	PROPN
fcis-32208	350	13	o.	o.	PROPN
fcis-32208	350	14	oyelade	oyelade	PROPN
fcis-32208	350	15	,	,	PUNCT
fcis-32208	350	16	l.	l.	PROPN
fcis-32208	350	17	abualigah	abualigah	PROPN
fcis-32208	350	18	,	,	PUNCT
fcis-32208	350	19	j.	j.	PROPN
fcis-32208	350	20	o.	o.	PROPN
fcis-32208	350	21	agushaka	agushaka	PROPN
fcis-32208	350	22	,	,	PUNCT
fcis-32208	350	23	c.	c.	PROPN
fcis-32208	350	24	i.	i.	PROPN
fcis-32208	350	25	eke	eke	PROPN
fcis-32208	350	26	,	,	PUNCT
fcis-32208	350	27	and	and	CCONJ
fcis-32208	350	28	a.	a.	NOUN
fcis-32208	350	29	a.	a.	NOUN
fcis-32208	350	30	akinyelu	akinyelu	PROPN
fcis-32208	350	31	,	,	PUNCT
fcis-32208	350	32	‘	'	PUNCT
fcis-32208	350	33	‘	'	PUNCT
fcis-32208	350	34	a	a	DET
fcis-32208	350	35	comprehensive	comprehensive	ADJ
fcis-32208	350	36	survey	survey	NOUN
fcis-32208	350	37	of	of	ADP
fcis-32208	350	38	clustering	clustering	ADJ
fcis-32208	350	39	algorithms	algorithm	NOUN
fcis-32208	350	40	:	:	PUNCT
fcis-32208	350	41	state	state	NOUN
fcis-32208	350	42	-	-	PUNCT
fcis-32208	350	43	of	of	ADP
fcis-32208	350	44	-	-	PUNCT
fcis-32208	350	45	theart	theart	NOUN
fcis-32208	350	46	machine	machine	NOUN
fcis-32208	350	47	learning	learning	NOUN
fcis-32208	350	48	applications	application	NOUN
fcis-32208	350	49	,	,	PUNCT
fcis-32208	350	50	taxonomy	taxonomy	NOUN
fcis-32208	350	51	,	,	PUNCT
fcis-32208	350	52	challenges	challenge	NOUN
fcis-32208	350	53	,	,	PUNCT
fcis-32208	350	54	and	and	CCONJ
fcis-32208	350	55	future	future	ADJ
fcis-32208	350	56	research	research	NOUN
fcis-32208	350	57	prospects	prospect	NOUN
fcis-32208	350	58	,	,	PUNCT
fcis-32208	350	59	’’	’'	PUNCT
fcis-32208	350	60	engineering	engineering	NOUN
fcis-32208	350	61	applications	application	NOUN
fcis-32208	350	62	of	of	ADP
fcis-32208	350	63	artificial	artificial	ADJ
fcis-32208	350	64	intelligence	intelligence	NOUN
fcis-32208	350	65	,	,	PUNCT
fcis-32208	350	66	vol	vol	NOUN
fcis-32208	350	67	.	.	PROPN
fcis-32208	351	1	110	110	NUM
fcis-32208	351	2	,	,	PUNCT
fcis-32208	351	3	p.	p.	NOUN
fcis-32208	351	4	104743	104743	NUM
fcis-32208	351	5	,	,	PUNCT
fcis-32208	351	6	2022	2022	NUM
fcis-32208	351	7	.	.	PUNCT
fcis-32208	352	1	[	[	X
fcis-32208	352	2	4	4	NUM
fcis-32208	352	3	]	]	PUNCT
fcis-32208	352	4	a.	a.	NOUN
fcis-32208	352	5	abdelrazek	abdelrazek	NOUN
fcis-32208	352	6	,	,	PUNCT
fcis-32208	352	7	y.	y.	PROPN
fcis-32208	352	8	eid	eid	PROPN
fcis-32208	352	9	,	,	PUNCT
fcis-32208	352	10	e.	e.	PROPN
fcis-32208	352	11	gawish	gawish	PROPN
fcis-32208	352	12	,	,	PUNCT
fcis-32208	352	13	w.	w.	PROPN
fcis-32208	352	14	medhat	medhat	PROPN
fcis-32208	352	15	,	,	PUNCT
fcis-32208	352	16	and	and	CCONJ
fcis-32208	352	17	a.	a.	PROPN
fcis-32208	352	18	hassan	hassan	PROPN
fcis-32208	352	19	,	,	PUNCT
fcis-32208	352	20	‘	'	PUNCT
fcis-32208	352	21	‘	'	PUNCT
fcis-32208	352	22	topic	topic	NOUN
fcis-32208	352	23	modeling	modeling	NOUN
fcis-32208	352	24	algorithms	algorithm	NOUN
fcis-32208	352	25	and	and	CCONJ
fcis-32208	352	26	applications	application	NOUN
fcis-32208	352	27	:	:	PUNCT
fcis-32208	352	28	a	a	DET
fcis-32208	352	29	survey	survey	NOUN
fcis-32208	352	30	,	,	PUNCT
fcis-32208	352	31	’’	’'	PUNCT
fcis-32208	352	32	information	information	NOUN
fcis-32208	352	33	systems	system	NOUN
fcis-32208	352	34	,	,	PUNCT
fcis-32208	352	35	vol	vol	NOUN
fcis-32208	352	36	.	.	PROPN
fcis-32208	352	37	112	112	NUM
fcis-32208	352	38	,	,	PUNCT
fcis-32208	352	39	p.	p.	NOUN
fcis-32208	352	40	102131	102131	NUM
fcis-32208	352	41	,	,	PUNCT
fcis-32208	352	42	2023	2023	NUM
fcis-32208	352	43	.	.	PUNCT
fcis-32208	353	1	[	[	X
fcis-32208	353	2	5	5	NUM
fcis-32208	353	3	]	]	PUNCT
fcis-32208	353	4	m.	m.	PROPN
fcis-32208	353	5	r.	r.	PROPN
fcis-32208	353	6	islam	islam	PROPN
fcis-32208	353	7	,	,	PUNCT
fcis-32208	353	8	s.	s.	PROPN
fcis-32208	353	9	liu	liu	PROPN
fcis-32208	353	10	,	,	PUNCT
fcis-32208	353	11	x.	x.	PROPN
fcis-32208	353	12	wang	wang	PROPN
fcis-32208	353	13	,	,	PUNCT
fcis-32208	353	14	and	and	CCONJ
fcis-32208	353	15	g.	g.	PROPN
fcis-32208	353	16	xu	xu	PROPN
fcis-32208	353	17	,	,	PUNCT
fcis-32208	353	18	‘	'	PUNCT
fcis-32208	353	19	‘	'	PUNCT
fcis-32208	353	20	deep	deep	ADJ
fcis-32208	353	21	learning	learning	NOUN
fcis-32208	353	22	for	for	ADP
fcis-32208	353	23	misinformation	misinformation	NOUN
fcis-32208	353	24	detection	detection	NOUN
fcis-32208	353	25	on	on	ADP
fcis-32208	353	26	online	online	ADJ
fcis-32208	353	27	social	social	ADJ
fcis-32208	353	28	networks	network	NOUN
fcis-32208	353	29	:	:	PUNCT
fcis-32208	353	30	a	a	DET
fcis-32208	353	31	survey	survey	NOUN
fcis-32208	353	32	and	and	CCONJ
fcis-32208	353	33	new	new	ADJ
fcis-32208	353	34	perspectives	perspective	NOUN
fcis-32208	353	35	,	,	PUNCT
fcis-32208	353	36	’’	’'	PUNCT
fcis-32208	353	37	social	social	ADJ
fcis-32208	353	38	network	network	NOUN
fcis-32208	353	39	analysis	analysis	NOUN
fcis-32208	353	40	and	and	CCONJ
fcis-32208	353	41	mining	mining	NOUN
fcis-32208	353	42	,	,	PUNCT
fcis-32208	353	43	vol	vol	NOUN
fcis-32208	353	44	.	.	PROPN
fcis-32208	353	45	10	10	NUM
fcis-32208	353	46	,	,	PUNCT
fcis-32208	353	47	no	no	INTJ
fcis-32208	353	48	.	.	NOUN
fcis-32208	353	49	1	1	NUM
fcis-32208	353	50	,	,	PUNCT
fcis-32208	353	51	p.	p.	NOUN
fcis-32208	353	52	82	82	NUM
fcis-32208	353	53	,	,	PUNCT
fcis-32208	353	54	2020	2020	NUM
fcis-32208	353	55	.	.	PUNCT
fcis-32208	354	1	[	[	X
fcis-32208	354	2	6	6	NUM
fcis-32208	354	3	]	]	X
fcis-32208	354	4	g.	g.	PROPN
fcis-32208	354	5	nagarajan	nagarajan	PROPN
fcis-32208	354	6	,	,	PUNCT
fcis-32208	354	7	r.	r.	PROPN
fcis-32208	354	8	minu	minu	PROPN
fcis-32208	354	9	,	,	PUNCT
fcis-32208	354	10	and	and	CCONJ
fcis-32208	354	11	a.	a.	NOUN
fcis-32208	354	12	jayanthila	jayanthila	PROPN
fcis-32208	354	13	devi	devi	PROPN
fcis-32208	354	14	,	,	PUNCT
fcis-32208	354	15	‘	'	PUNCT
fcis-32208	354	16	‘	'	PUNCT
fcis-32208	354	17	optimal	optimal	ADJ
fcis-32208	354	18	nonparametric	nonparametric	ADJ
fcis-32208	354	19	bayesian	bayesian	NOUN
fcis-32208	354	20	model	model	NOUN
fcis-32208	354	21	-	-	PUNCT
fcis-32208	354	22	based	base	VERB
fcis-32208	354	23	multimodal	multimodal	NOUN
fcis-32208	354	24	bovw	bovw	ADJ
fcis-32208	354	25	creation	creation	NOUN
fcis-32208	354	26	using	use	VERB
fcis-32208	354	27	multilayer	multilayer	ADJ
fcis-32208	354	28	plsa	plsa	ADJ
fcis-32208	354	29	,	,	PUNCT
fcis-32208	354	30	’’	’'	PUNCT
fcis-32208	354	31	circuits	circuit	NOUN
fcis-32208	354	32	,	,	PUNCT
fcis-32208	354	33	systems	system	NOUN
fcis-32208	354	34	,	,	PUNCT
fcis-32208	354	35	and	and	CCONJ
fcis-32208	354	36	signal	signal	NOUN
fcis-32208	354	37	processing	processing	NOUN
fcis-32208	354	38	,	,	PUNCT
fcis-32208	354	39	vol	vol	NOUN
fcis-32208	354	40	.	.	PROPN
fcis-32208	354	41	39	39	NUM
fcis-32208	354	42	,	,	PUNCT
fcis-32208	354	43	no	no	INTJ
fcis-32208	354	44	.	.	NOUN
fcis-32208	354	45	2	2	NUM
fcis-32208	354	46	,	,	PUNCT
fcis-32208	354	47	pp	pp	ADJ
fcis-32208	354	48	.	.	PUNCT
fcis-32208	354	49	1123–1132	1123–1132	NUM
fcis-32208	354	50	,	,	PUNCT
fcis-32208	354	51	2020	2020	NUM
fcis-32208	354	52	.	.	PUNCT
fcis-32208	355	1	[	[	X
fcis-32208	355	2	7	7	X
fcis-32208	355	3	]	]	X
fcis-32208	355	4	h.	h.	PROPN
fcis-32208	355	5	jelodar	jelodar	PROPN
fcis-32208	355	6	,	,	PUNCT
fcis-32208	355	7	y.	y.	PROPN
fcis-32208	355	8	wang	wang	PROPN
fcis-32208	355	9	,	,	PUNCT
fcis-32208	355	10	c.	c.	PROPN
fcis-32208	355	11	yuan	yuan	PROPN
fcis-32208	355	12	,	,	PUNCT
fcis-32208	355	13	x.	x.	PROPN
fcis-32208	355	14	feng	feng	PROPN
fcis-32208	355	15	,	,	PUNCT
fcis-32208	355	16	x.	x.	PROPN
fcis-32208	355	17	jiang	jiang	PROPN
fcis-32208	355	18	,	,	PUNCT
fcis-32208	355	19	y.	y.	PROPN
fcis-32208	355	20	li	li	PROPN
fcis-32208	355	21	,	,	PUNCT
fcis-32208	355	22	and	and	CCONJ
fcis-32208	355	23	l.	l.	PROPN
fcis-32208	355	24	zhao	zhao	PROPN
fcis-32208	355	25	,	,	PUNCT
fcis-32208	355	26	“	"	PUNCT
fcis-32208	355	27	latent	latent	ADJ
fcis-32208	355	28	dirichlet	dirichlet	PROPN
fcis-32208	355	29	allocation	allocation	NOUN
fcis-32208	355	30	(	(	PUNCT
fcis-32208	355	31	lda	lda	PROPN
fcis-32208	355	32	)	)	PUNCT
fcis-32208	355	33	and	and	CCONJ
fcis-32208	355	34	topic	topic	NOUN
fcis-32208	355	35	modeling	modeling	NOUN
fcis-32208	355	36	:	:	PUNCT
fcis-32208	355	37	models	model	NOUN
fcis-32208	355	38	,	,	PUNCT
fcis-32208	355	39	applications	application	NOUN
fcis-32208	355	40	,	,	PUNCT
fcis-32208	355	41	a	a	DET
fcis-32208	355	42	survey	survey	NOUN
fcis-32208	355	43	,	,	PUNCT
fcis-32208	355	44	”	"	PUNCT
fcis-32208	355	45	multimedia	multimedia	NOUN
fcis-32208	355	46	tools	tool	NOUN
fcis-32208	355	47	and	and	CCONJ
fcis-32208	355	48	applications	application	NOUN
fcis-32208	355	49	,	,	PUNCT
fcis-32208	355	50	vol	vol	NOUN
fcis-32208	355	51	.	.	PROPN
fcis-32208	355	52	78	78	NUM
fcis-32208	355	53	,	,	PUNCT
fcis-32208	355	54	pp	pp	ADJ
fcis-32208	355	55	.	.	PUNCT
fcis-32208	356	1	15169–15211	15169–15211	NUM
fcis-32208	356	2	,	,	PUNCT
fcis-32208	356	3	2019	2019	NUM
fcis-32208	356	4	.	.	PUNCT
fcis-32208	357	1	[	[	X
fcis-32208	357	2	8	8	NUM
fcis-32208	357	3	]	]	X
fcis-32208	357	4	h.	h.	PROPN
fcis-32208	357	5	zhou	zhou	PROPN
fcis-32208	357	6	,	,	PUNCT
fcis-32208	357	7	h.	h.	PROPN
fcis-32208	357	8	yin	yin	PROPN
fcis-32208	357	9	,	,	PUNCT
fcis-32208	357	10	h.	h.	PROPN
fcis-32208	357	11	zheng	zheng	PROPN
fcis-32208	357	12	,	,	PUNCT
fcis-32208	357	13	and	and	CCONJ
fcis-32208	357	14	y.	y.	PROPN
fcis-32208	357	15	li	li	PROPN
fcis-32208	357	16	,	,	PUNCT
fcis-32208	357	17	‘	'	PUNCT
fcis-32208	357	18	‘	'	PUNCT
fcis-32208	357	19	a	a	DET
fcis-32208	357	20	survey	survey	NOUN
fcis-32208	357	21	on	on	ADP
fcis-32208	357	22	multimodal	multimodal	ADJ
fcis-32208	357	23	social	social	ADJ
fcis-32208	357	24	event	event	NOUN
fcis-32208	357	25	detection	detection	NOUN
fcis-32208	357	26	,	,	PUNCT
fcis-32208	357	27	’’	’'	PUNCT
fcis-32208	357	28	knowledge	knowledge	NOUN
fcis-32208	357	29	-	-	PUNCT
fcis-32208	357	30	based	base	VERB
fcis-32208	357	31	systems	system	NOUN
fcis-32208	357	32	,	,	PUNCT
fcis-32208	357	33	vol	vol	NOUN
fcis-32208	357	34	.	.	PROPN
fcis-32208	357	35	195	195	NUM
fcis-32208	357	36	,	,	PUNCT
fcis-32208	357	37	p.	p.	NOUN
fcis-32208	357	38	105695	105695	NUM
fcis-32208	357	39	,	,	PUNCT
fcis-32208	357	40	2020	2020	NUM
fcis-32208	357	41	.	.	PUNCT
fcis-32208	358	1	[	[	X
fcis-32208	358	2	9	9	NUM
fcis-32208	358	3	]	]	PUNCT
fcis-32208	358	4	l.	l.	PROPN
fcis-32208	358	5	zhang	zhang	PROPN
fcis-32208	358	6	,	,	PUNCT
fcis-32208	358	7	b.	b.	PROPN
fcis-32208	358	8	wu	wu	PROPN
fcis-32208	358	9	,	,	PUNCT
fcis-32208	358	10	and	and	CCONJ
fcis-32208	358	11	p.	p.	PROPN
fcis-32208	358	12	dong	dong	PROPN
fcis-32208	358	13	,	,	PUNCT
fcis-32208	358	14	‘	'	PUNCT
fcis-32208	358	15	‘	'	PUNCT
fcis-32208	358	16	attribute	attribute	NOUN
fcis-32208	358	17	graph	graph	NOUN
fcis-32208	358	18	anomaly	anomaly	NOUN
fcis-32208	358	19	detection	detection	NOUN
fcis-32208	358	20	utilizing	utilize	VERB
fcis-32208	358	21	memory	memory	NOUN
fcis-32208	358	22	networks	network	NOUN
fcis-32208	358	23	enhanced	enhance	VERB
fcis-32208	358	24	by	by	ADP
fcis-32208	358	25	multiembedding	multiembedde	VERB
fcis-32208	358	26	comparison	comparison	NOUN
fcis-32208	358	27	,	,	PUNCT
fcis-32208	358	28	’’	’'	PUNCT
fcis-32208	358	29	neurocomputing	neurocomputing	NOUN
fcis-32208	358	30	,	,	PUNCT
fcis-32208	358	31	vol	vol	NOUN
fcis-32208	358	32	.	.	PUNCT
fcis-32208	358	33	633	633	NUM
fcis-32208	358	34	,	,	PUNCT
fcis-32208	358	35	p.	p.	NOUN
fcis-32208	358	36	129762	129762	NUM
fcis-32208	358	37	,	,	PUNCT
fcis-32208	358	38	2025	2025	NUM
fcis-32208	358	39	.	.	PUNCT
fcis-32208	359	1	[	[	X
fcis-32208	359	2	10	10	NUM
fcis-32208	359	3	]	]	X
fcis-32208	359	4	s.	s.	PROPN
fcis-32208	359	5	tabassum	tabassum	PROPN
fcis-32208	359	6	,	,	PUNCT
fcis-32208	359	7	f.	f.	PROPN
fcis-32208	359	8	s.	s.	PROPN
fcis-32208	359	9	pereira	pereira	PROPN
fcis-32208	359	10	,	,	PUNCT
fcis-32208	359	11	s.	s.	PROPN
fcis-32208	359	12	fernandes	fernandes	PROPN
fcis-32208	359	13	,	,	PUNCT
fcis-32208	359	14	and	and	CCONJ
fcis-32208	359	15	j.	j.	PROPN
fcis-32208	359	16	gama	gama	PROPN
fcis-32208	359	17	,	,	PUNCT
fcis-32208	359	18	‘	'	PUNCT
fcis-32208	359	19	‘	'	PUNCT
fcis-32208	359	20	social	social	ADJ
fcis-32208	359	21	network	network	NOUN
fcis-32208	359	22	analysis	analysis	NOUN
fcis-32208	359	23	:	:	PUNCT
fcis-32208	359	24	an	an	DET
fcis-32208	359	25	overview	overview	NOUN
fcis-32208	359	26	,	,	PUNCT
fcis-32208	359	27	’’	’'	PUNCT
fcis-32208	359	28	wiley	wiley	PROPN
fcis-32208	359	29	interdisciplinary	interdisciplinary	ADJ
fcis-32208	359	30	reviews	review	NOUN
fcis-32208	359	31	:	:	PUNCT
fcis-32208	359	32	data	datum	NOUN
fcis-32208	359	33	mining	mining	NOUN
fcis-32208	359	34	and	and	CCONJ
fcis-32208	359	35	knowledge	knowledge	NOUN
fcis-32208	359	36	discovery	discovery	NOUN
fcis-32208	359	37	,	,	PUNCT
fcis-32208	359	38	vol	vol	NOUN
fcis-32208	359	39	.	.	PROPN
fcis-32208	359	40	8	8	NUM
fcis-32208	359	41	,	,	PUNCT
fcis-32208	359	42	no	no	INTJ
fcis-32208	359	43	.	.	NOUN
fcis-32208	359	44	5	5	NUM
fcis-32208	359	45	,	,	PUNCT
fcis-32208	359	46	p.	p.	PROPN
fcis-32208	359	47	e1256	e1256	PROPN
fcis-32208	359	48	,	,	PUNCT
fcis-32208	359	49	2018	2018	NUM
fcis-32208	359	50	.	.	PUNCT
fcis-32208	360	1	[	[	X
fcis-32208	360	2	11	11	NUM
fcis-32208	360	3	]	]	X
fcis-32208	360	4	g.	g.	PROPN
fcis-32208	360	5	li	li	PROPN
fcis-32208	360	6	and	and	CCONJ
fcis-32208	360	7	j.	j.	PROPN
fcis-32208	360	8	j.	j.	PROPN
fcis-32208	360	9	jung	jung	PROPN
fcis-32208	360	10	,	,	PUNCT
fcis-32208	360	11	‘	'	PUNCT
fcis-32208	360	12	‘	'	PUNCT
fcis-32208	360	13	deep	deep	ADJ
fcis-32208	360	14	learning	learning	NOUN
fcis-32208	360	15	for	for	ADP
fcis-32208	360	16	anomaly	anomaly	NOUN
fcis-32208	360	17	detection	detection	NOUN
fcis-32208	360	18	in	in	ADP
fcis-32208	360	19	multivariate	multivariate	NOUN
fcis-32208	360	20	time	time	NOUN
fcis-32208	360	21	series	series	PROPN
fcis-32208	360	22	:	:	PUNCT
fcis-32208	360	23	approaches	approach	NOUN
fcis-32208	360	24	,	,	PUNCT
fcis-32208	360	25	applications	application	NOUN
fcis-32208	360	26	,	,	PUNCT
fcis-32208	360	27	and	and	CCONJ
fcis-32208	360	28	challenges	challenge	NOUN
fcis-32208	360	29	,	,	PUNCT
fcis-32208	360	30	’’	’'	PUNCT
fcis-32208	360	31	information	information	NOUN
fcis-32208	360	32	fusion	fusion	NOUN
fcis-32208	360	33	,	,	PUNCT
fcis-32208	360	34	vol	vol	NOUN
fcis-32208	360	35	.	.	PROPN
fcis-32208	360	36	91	91	NUM
fcis-32208	360	37	,	,	PUNCT
fcis-32208	360	38	pp	pp	ADJ
fcis-32208	360	39	.	.	PUNCT
fcis-32208	361	1	93–102	93–102	NUM
fcis-32208	361	2	,	,	PUNCT
fcis-32208	361	3	2023	2023	NUM
fcis-32208	361	4	.	.	PUNCT
fcis-32208	362	1	[	[	X
fcis-32208	362	2	12	12	NUM
fcis-32208	362	3	]	]	X
fcis-32208	362	4	y.	y.	PROPN
fcis-32208	362	5	zuo	zuo	PROPN
fcis-32208	362	6	,	,	PUNCT
fcis-32208	362	7	j.	j.	PROPN
fcis-32208	362	8	zhao	zhao	PROPN
fcis-32208	362	9	,	,	PUNCT
fcis-32208	362	10	and	and	CCONJ
fcis-32208	362	11	k.	k.	PROPN
fcis-32208	362	12	xu	xu	PROPN
fcis-32208	362	13	,	,	PUNCT
fcis-32208	362	14	‘	'	PUNCT
fcis-32208	362	15	‘	'	PUNCT
fcis-32208	362	16	word	word	NOUN
fcis-32208	362	17	network	network	NOUN
fcis-32208	362	18	topic	topic	NOUN
fcis-32208	362	19	model	model	NOUN
fcis-32208	362	20	:	:	PUNCT
fcis-32208	362	21	a	a	DET
fcis-32208	362	22	simple	simple	ADJ
fcis-32208	362	23	but	but	CCONJ
fcis-32208	362	24	general	general	ADJ
fcis-32208	362	25	solution	solution	NOUN
fcis-32208	362	26	for	for	ADP
fcis-32208	362	27	short	short	ADJ
fcis-32208	362	28	and	and	CCONJ
fcis-32208	362	29	imbalanced	imbalanced	ADJ
fcis-32208	362	30	texts	text	NOUN
fcis-32208	362	31	,	,	PUNCT
fcis-32208	362	32	’’	’'	PUNCT
fcis-32208	362	33	knowledge	knowledge	NOUN
fcis-32208	362	34	and	and	CCONJ
fcis-32208	362	35	information	information	NOUN
fcis-32208	362	36	systems	system	NOUN
fcis-32208	362	37	,	,	PUNCT
fcis-32208	362	38	vol	vol	NOUN
fcis-32208	362	39	.	.	PROPN
fcis-32208	362	40	48	48	NUM
fcis-32208	362	41	,	,	PUNCT
fcis-32208	362	42	pp	pp	ADV
fcis-32208	362	43	.	.	PUNCT
fcis-32208	363	1	379–398	379–398	NUM
fcis-32208	363	2	,	,	PUNCT
fcis-32208	363	3	2016	2016	NUM
fcis-32208	363	4	.	.	PUNCT
fcis-32208	364	1	[	[	X
fcis-32208	364	2	13	13	NUM
fcis-32208	364	3	]	]	PUNCT
fcis-32208	364	4	j.	j.	PROPN
fcis-32208	364	5	zhang	zhang	PROPN
fcis-32208	364	6	,	,	PUNCT
fcis-32208	364	7	m.	m.	PROPN
fcis-32208	364	8	liu	liu	PROPN
fcis-32208	364	9	,	,	PUNCT
fcis-32208	364	10	and	and	CCONJ
fcis-32208	364	11	y.	y.	PROPN
fcis-32208	364	12	zhang	zhang	PROPN
fcis-32208	364	13	,	,	PUNCT
fcis-32208	364	14	‘	'	PUNCT
fcis-32208	364	15	‘	'	PUNCT
fcis-32208	364	16	topic	topic	NOUN
fcis-32208	364	17	-	-	PUNCT
fcis-32208	364	18	informed	inform	VERB
fcis-32208	364	19	neural	neural	ADJ
fcis-32208	364	20	approach	approach	NOUN
fcis-32208	364	21	for	for	ADP
fcis-32208	364	22	biomedical	biomedical	ADJ
fcis-32208	364	23	event	event	NOUN
fcis-32208	364	24	extraction	extraction	NOUN
fcis-32208	364	25	,	,	PUNCT
fcis-32208	364	26	’’	’'	PUNCT
fcis-32208	364	27	artificial	artificial	ADJ
fcis-32208	364	28	intelligence	intelligence	NOUN
fcis-32208	364	29	in	in	ADP
fcis-32208	364	30	medicine	medicine	NOUN
fcis-32208	364	31	,	,	PUNCT
fcis-32208	364	32	vol	vol	NOUN
fcis-32208	364	33	.	.	PROPN
fcis-32208	364	34	103	103	NUM
fcis-32208	364	35	,	,	PUNCT
fcis-32208	364	36	p.	p.	NOUN
fcis-32208	364	37	101783	101783	NUM
fcis-32208	364	38	,	,	PUNCT
fcis-32208	364	39	2020	2020	NUM
fcis-32208	364	40	.	.	PUNCT
fcis-32208	365	1	[	[	X
fcis-32208	365	2	14	14	NUM
fcis-32208	365	3	]	]	X
fcis-32208	365	4	g.	g.	PROPN
fcis-32208	365	5	stilo	stilo	PROPN
fcis-32208	365	6	and	and	CCONJ
fcis-32208	365	7	p.	p.	PROPN
fcis-32208	365	8	velardi	velardi	PROPN
fcis-32208	365	9	,	,	PUNCT
fcis-32208	365	10	‘	'	PUNCT
fcis-32208	365	11	‘	'	PUNCT
fcis-32208	365	12	efficient	efficient	ADJ
fcis-32208	365	13	temporal	temporal	ADJ
fcis-32208	365	14	mining	mining	NOUN
fcis-32208	365	15	of	of	ADP
fcis-32208	365	16	microblog	microblog	NOUN
fcis-32208	365	17	texts	text	NOUN
fcis-32208	365	18	and	and	CCONJ
fcis-32208	365	19	its	its	PRON
fcis-32208	365	20	application	application	NOUN
fcis-32208	365	21	to	to	ADP
fcis-32208	365	22	event	event	NOUN
fcis-32208	365	23	discovery	discovery	NOUN
fcis-32208	365	24	,	,	PUNCT
fcis-32208	365	25	’’	’'	PUNCT
fcis-32208	365	26	data	datum	NOUN
fcis-32208	365	27	mining	mining	NOUN
fcis-32208	365	28	and	and	CCONJ
fcis-32208	365	29	knowledge	knowledge	NOUN
fcis-32208	365	30	discovery	discovery	NOUN
fcis-32208	365	31	,	,	PUNCT
fcis-32208	365	32	vol	vol	NOUN
fcis-32208	365	33	.	.	PROPN
fcis-32208	365	34	30	30	NUM
fcis-32208	365	35	,	,	PUNCT
fcis-32208	365	36	no	no	INTJ
fcis-32208	365	37	.	.	NOUN
fcis-32208	365	38	2	2	NUM
fcis-32208	365	39	,	,	PUNCT
fcis-32208	365	40	pp	pp	ADJ
fcis-32208	365	41	.	.	PUNCT
fcis-32208	366	1	372–402	372–402	NUM
fcis-32208	366	2	,	,	PUNCT
fcis-32208	366	3	2016	2016	NUM
fcis-32208	366	4	.	.	PUNCT
fcis-32208	367	1	[	[	X
fcis-32208	367	2	15	15	NUM
fcis-32208	367	3	]	]	PUNCT
fcis-32208	367	4	k.	k.	PROPN
fcis-32208	367	5	bountrogiannis	bountrogiannis	PROPN
fcis-32208	367	6	,	,	PUNCT
fcis-32208	367	7	g.	g.	PROPN
fcis-32208	367	8	tzagkarakis	tzagkarakis	PROPN
fcis-32208	367	9	,	,	PUNCT
fcis-32208	367	10	and	and	CCONJ
fcis-32208	367	11	p.	p.	NOUN
fcis-32208	367	12	tsakalides	tsakalide	NOUN
fcis-32208	367	13	,	,	PUNCT
fcis-32208	367	14	‘	'	PUNCT
fcis-32208	367	15	‘	'	PUNCT
fcis-32208	367	16	distribution	distribution	NOUN
fcis-32208	367	17	agnostic	agnostic	ADJ
fcis-32208	367	18	symbolic	symbolic	ADJ
fcis-32208	367	19	representations	representation	NOUN
fcis-32208	367	20	for	for	ADP
fcis-32208	367	21	time	time	NOUN
fcis-32208	367	22	series	series	NOUN
fcis-32208	367	23	dimensionality	dimensionality	NOUN
fcis-32208	367	24	reduction	reduction	NOUN
fcis-32208	367	25	and	and	CCONJ
fcis-32208	367	26	online	online	ADJ
fcis-32208	367	27	anomaly	anomaly	NOUN
fcis-32208	367	28	detection	detection	NOUN
fcis-32208	367	29	,	,	PUNCT
fcis-32208	367	30	’’	’'	PUNCT
fcis-32208	367	31	ieee	ieee	NOUN
fcis-32208	367	32	transactions	transaction	NOUN
fcis-32208	367	33	on	on	ADP
fcis-32208	367	34	knowledge	knowledge	NOUN
fcis-32208	367	35	and	and	CCONJ
fcis-32208	367	36	data	datum	NOUN
fcis-32208	367	37	engineering	engineering	NOUN
fcis-32208	367	38	,	,	PUNCT
fcis-32208	367	39	2022	2022	NUM
fcis-32208	367	40	.	.	PUNCT
fcis-32208	368	1	[	[	X
fcis-32208	368	2	16	16	NUM
fcis-32208	368	3	]	]	PUNCT
fcis-32208	368	4	s.	s.	PROPN
fcis-32208	368	5	li	li	PROPN
fcis-32208	368	6	,	,	PUNCT
fcis-32208	368	7	h.	h.	PROPN
fcis-32208	368	8	ji	ji	PROPN
fcis-32208	368	9	,	,	PUNCT
fcis-32208	368	10	and	and	CCONJ
fcis-32208	368	11	j.	j.	PROPN
fcis-32208	368	12	han	han	PROPN
fcis-32208	368	13	,	,	PUNCT
fcis-32208	368	14	‘	'	PUNCT
fcis-32208	368	15	‘	'	PUNCT
fcis-32208	368	16	document	document	NOUN
fcis-32208	368	17	-	-	PUNCT
fcis-32208	368	18	level	level	NOUN
fcis-32208	368	19	event	event	NOUN
fcis-32208	368	20	argument	argument	NOUN
fcis-32208	368	21	extraction	extraction	NOUN
fcis-32208	368	22	by	by	ADP
fcis-32208	368	23	conditional	conditional	ADJ
fcis-32208	368	24	generation	generation	NOUN
fcis-32208	368	25	,	,	PUNCT
fcis-32208	368	26	’’	’'	PUNCT
fcis-32208	368	27	arxiv	arxiv	PROPN
fcis-32208	368	28	preprint	preprint	NOUN
fcis-32208	368	29	arxiv:2104.05919	arxiv:2104.05919	NOUN
fcis-32208	368	30	,	,	PUNCT
fcis-32208	368	31	2021	2021	NUM
fcis-32208	368	32	.	.	PUNCT
fcis-32208	369	1	[	[	X
fcis-32208	369	2	17	17	NUM
fcis-32208	369	3	]	]	X
fcis-32208	369	4	w.	w.	PROPN
fcis-32208	369	5	xie	xie	PROPN
fcis-32208	369	6	,	,	PUNCT
fcis-32208	369	7	f.	f.	PROPN
fcis-32208	369	8	zhu	zhu	PROPN
fcis-32208	369	9	,	,	PUNCT
fcis-32208	369	10	j.	j.	PROPN
fcis-32208	369	11	jiang	jiang	PROPN
fcis-32208	369	12	,	,	PUNCT
fcis-32208	369	13	e.-p	e.-p	PROPN
fcis-32208	369	14	.	.	PUNCT
fcis-32208	370	1	lim	lim	PROPN
fcis-32208	370	2	,	,	PUNCT
fcis-32208	370	3	and	and	CCONJ
fcis-32208	370	4	k.	k.	PROPN
fcis-32208	370	5	wang	wang	PROPN
fcis-32208	370	6	,	,	PUNCT
fcis-32208	370	7	‘	'	PUNCT
fcis-32208	370	8	‘	'	PUNCT
fcis-32208	370	9	topicsketch	topicsketch	NOUN
fcis-32208	370	10	:	:	PUNCT
fcis-32208	370	11	real	real	ADJ
fcis-32208	370	12	-	-	PUNCT
fcis-32208	370	13	time	time	NOUN
fcis-32208	370	14	bursty	bursty	NOUN
fcis-32208	370	15	topic	topic	NOUN
fcis-32208	370	16	detection	detection	NOUN
fcis-32208	370	17	from	from	ADP
fcis-32208	370	18	twitter	twitter	NOUN
fcis-32208	370	19	,	,	PUNCT
fcis-32208	370	20	’’	’'	PUNCT
fcis-32208	370	21	ieee	ieee	NOUN
fcis-32208	370	22	transactions	transaction	NOUN
fcis-32208	370	23	on	on	ADP
fcis-32208	370	24	knowledge	knowledge	NOUN
fcis-32208	370	25	and	and	CCONJ
fcis-32208	370	26	data	datum	NOUN
fcis-32208	370	27	engineering	engineering	NOUN
fcis-32208	370	28	,	,	PUNCT
fcis-32208	370	29	vol	vol	NOUN
fcis-32208	370	30	.	.	PROPN
fcis-32208	370	31	28	28	NUM
fcis-32208	370	32	,	,	PUNCT
fcis-32208	370	33	no	no	INTJ
fcis-32208	370	34	.	.	NOUN
fcis-32208	370	35	8	8	NUM
fcis-32208	370	36	,	,	PUNCT
fcis-32208	370	37	pp	pp	ADJ
fcis-32208	370	38	.	.	PUNCT
fcis-32208	370	39	2216–2229	2216–2229	NUM
fcis-32208	370	40	,	,	PUNCT
fcis-32208	370	41	2019	2019	NUM
fcis-32208	370	42	.	.	PUNCT
fcis-32208	371	1	19	19	NUM
fcis-32208	372	1	[	[	SYM
fcis-32208	372	2	18	18	NUM
fcis-32208	372	3	]	]	PUNCT
fcis-32208	372	4	q.	q.	PROPN
fcis-32208	372	5	diao	diao	PROPN
fcis-32208	372	6	,	,	PUNCT
fcis-32208	372	7	j.	j.	PROPN
fcis-32208	372	8	jiang	jiang	PROPN
fcis-32208	372	9	,	,	PUNCT
fcis-32208	372	10	f.	f.	PROPN
fcis-32208	372	11	zhu	zhu	PROPN
fcis-32208	372	12	,	,	PUNCT
fcis-32208	372	13	and	and	CCONJ
fcis-32208	372	14	e.	e.	PROPN
fcis-32208	372	15	p.	p.	PROPN
fcis-32208	372	16	lim	lim	PROPN
fcis-32208	372	17	,	,	PUNCT
fcis-32208	372	18	‘	'	PUNCT
fcis-32208	372	19	‘	'	PUNCT
fcis-32208	372	20	finding	find	VERB
fcis-32208	372	21	bursty	bursty	ADJ
fcis-32208	372	22	topics	topic	NOUN
fcis-32208	372	23	from	from	ADP
fcis-32208	372	24	microblogs	microblog	NOUN
fcis-32208	372	25	.	.	PUNCT
fcis-32208	372	26	’’	’'	PUNCT
fcis-32208	373	1	acl	acl	INTJ
fcis-32208	373	2	,	,	PUNCT
fcis-32208	373	3	2012	2012	NUM
fcis-32208	373	4	.	.	PUNCT
fcis-32208	374	1	[	[	X
fcis-32208	374	2	19	19	NUM
fcis-32208	374	3	]	]	PUNCT
fcis-32208	374	4	r.	r.	PROPN
fcis-32208	374	5	wang	wang	PROPN
fcis-32208	374	6	,	,	PUNCT
fcis-32208	374	7	d.	d.	PROPN
fcis-32208	374	8	zhou	zhou	PROPN
fcis-32208	374	9	,	,	PUNCT
fcis-32208	374	10	and	and	CCONJ
fcis-32208	374	11	y.	y.	PROPN
fcis-32208	374	12	he	he	PRON
fcis-32208	374	13	,	,	PUNCT
fcis-32208	374	14	‘	'	PUNCT
fcis-32208	374	15	‘	'	PUNCT
fcis-32208	374	16	atm	atm	ADJ
fcis-32208	374	17	:	:	PUNCT
fcis-32208	374	18	adversarial	adversarial	ADJ
fcis-32208	374	19	-	-	PUNCT
fcis-32208	374	20	neural	neural	ADJ
fcis-32208	374	21	topic	topic	NOUN
fcis-32208	374	22	model	model	NOUN
fcis-32208	374	23	,	,	PUNCT
fcis-32208	374	24	’’	’'	PUNCT
fcis-32208	374	25	information	information	NOUN
fcis-32208	374	26	processing	processing	NOUN
fcis-32208	374	27	&	&	CCONJ
fcis-32208	374	28	management	management	NOUN
fcis-32208	374	29	,	,	PUNCT
fcis-32208	374	30	vol	vol	NOUN
fcis-32208	374	31	.	.	PROPN
fcis-32208	374	32	56	56	NUM
fcis-32208	374	33	,	,	PUNCT
fcis-32208	374	34	no	no	INTJ
fcis-32208	374	35	.	.	NOUN
fcis-32208	374	36	6	6	NUM
fcis-32208	374	37	,	,	PUNCT
fcis-32208	374	38	p.	p.	NOUN
fcis-32208	374	39	102098	102098	NUM
fcis-32208	374	40	,	,	PUNCT
fcis-32208	374	41	2019	2019	NUM
fcis-32208	374	42	.	.	PUNCT
fcis-32208	375	1	[	[	X
fcis-32208	375	2	20	20	NUM
fcis-32208	375	3	]	]	PUNCT
fcis-32208	375	4	a.	a.	NOUN
fcis-32208	375	5	p.	p.	PROPN
fcis-32208	375	6	logan	logan	PROPN
fcis-32208	375	7	,	,	PUNCT
fcis-32208	375	8	p.	p.	PROPN
fcis-32208	375	9	m.	m.	NOUN
fcis-32208	375	10	lacasse	lacasse	PROPN
fcis-32208	375	11	,	,	PUNCT
fcis-32208	375	12	and	and	CCONJ
fcis-32208	375	13	b.	b.	PROPN
fcis-32208	375	14	j.	j.	PROPN
fcis-32208	375	15	lunday	lunday	PROPN
fcis-32208	375	16	,	,	PUNCT
fcis-32208	375	17	‘	'	PUNCT
fcis-32208	375	18	‘	'	PUNCT
fcis-32208	375	19	social	social	ADJ
fcis-32208	375	20	network	network	NOUN
fcis-32208	375	21	analysis	analysis	NOUN
fcis-32208	375	22	of	of	ADP
fcis-32208	375	23	twitter	twitter	NOUN
fcis-32208	375	24	interactions	interaction	NOUN
fcis-32208	375	25	:	:	PUNCT
fcis-32208	375	26	a	a	DET
fcis-32208	375	27	directed	direct	VERB
fcis-32208	375	28	multilayer	multilayer	ADJ
fcis-32208	375	29	network	network	NOUN
fcis-32208	375	30	approach	approach	NOUN
fcis-32208	375	31	,	,	PUNCT
fcis-32208	375	32	’’	’'	PUNCT
fcis-32208	375	33	social	social	ADJ
fcis-32208	375	34	network	network	NOUN
fcis-32208	375	35	analysis	analysis	NOUN
fcis-32208	375	36	and	and	CCONJ
fcis-32208	375	37	mining	mining	NOUN
fcis-32208	375	38	,	,	PUNCT
fcis-32208	375	39	vol	vol	NOUN
fcis-32208	375	40	.	.	PROPN
fcis-32208	375	41	13	13	NUM
fcis-32208	375	42	,	,	PUNCT
fcis-32208	375	43	no	no	INTJ
fcis-32208	375	44	.	.	NOUN
fcis-32208	375	45	1	1	NUM
fcis-32208	375	46	,	,	PUNCT
fcis-32208	375	47	p.	p.	NOUN
fcis-32208	375	48	65	65	NUM
fcis-32208	375	49	,	,	PUNCT
fcis-32208	375	50	2023	2023	NUM
fcis-32208	375	51	.	.	PUNCT
fcis-32208	376	1	[	[	X
fcis-32208	376	2	21	21	NUM
fcis-32208	376	3	]	]	X
fcis-32208	376	4	g.	g.	PROPN
fcis-32208	376	5	pu	pu	PROPN
fcis-32208	376	6	,	,	PUNCT
fcis-32208	376	7	l.	l.	PROPN
fcis-32208	376	8	wang	wang	PROPN
fcis-32208	376	9	,	,	PUNCT
fcis-32208	376	10	j.	j.	PROPN
fcis-32208	376	11	shen	shen	PROPN
fcis-32208	376	12	,	,	PUNCT
fcis-32208	376	13	and	and	CCONJ
fcis-32208	376	14	f.	f.	PROPN
fcis-32208	376	15	dong	dong	PROPN
fcis-32208	376	16	,	,	PUNCT
fcis-32208	376	17	‘	'	PUNCT
fcis-32208	376	18	‘	'	PUNCT
fcis-32208	376	19	a	a	DET
fcis-32208	376	20	hybrid	hybrid	ADJ
fcis-32208	376	21	unsupervised	unsupervised	ADJ
fcis-32208	376	22	clustering	clustering	NOUN
fcis-32208	376	23	-	-	PUNCT
fcis-32208	376	24	based	base	VERB
fcis-32208	376	25	anomaly	anomaly	NOUN
fcis-32208	376	26	detection	detection	NOUN
fcis-32208	376	27	method	method	NOUN
fcis-32208	376	28	,	,	PUNCT
fcis-32208	376	29	’’	’'	PUNCT
fcis-32208	376	30	tsinghua	tsinghua	PROPN
fcis-32208	376	31	science	science	PROPN
fcis-32208	376	32	and	and	CCONJ
fcis-32208	376	33	technology	technology	NOUN
fcis-32208	376	34	,	,	PUNCT
fcis-32208	376	35	vol	vol	NOUN
fcis-32208	376	36	.	.	PROPN
fcis-32208	376	37	26	26	NUM
fcis-32208	376	38	,	,	PUNCT
fcis-32208	376	39	no	no	INTJ
fcis-32208	376	40	.	.	NOUN
fcis-32208	376	41	2	2	NUM
fcis-32208	376	42	,	,	PUNCT
fcis-32208	376	43	pp	pp	ADJ
fcis-32208	376	44	.	.	PUNCT
fcis-32208	377	1	146–153	146–153	NUM
fcis-32208	377	2	,	,	PUNCT
fcis-32208	377	3	2020	2020	NUM
fcis-32208	377	4	.	.	PUNCT
fcis-32208	378	1	[	[	X
fcis-32208	378	2	22	22	NUM
fcis-32208	378	3	]	]	PUNCT
fcis-32208	378	4	l.	l.	PROPN
fcis-32208	378	5	yan	yan	PROPN
fcis-32208	378	6	,	,	PUNCT
fcis-32208	378	7	c.	c.	PROPN
fcis-32208	378	8	luo	luo	PROPN
fcis-32208	378	9	,	,	PUNCT
fcis-32208	378	10	and	and	CCONJ
fcis-32208	378	11	r.	r.	PROPN
fcis-32208	378	12	shao	shao	PROPN
fcis-32208	378	13	,	,	PUNCT
fcis-32208	378	14	‘	'	PUNCT
fcis-32208	378	15	‘	'	PUNCT
fcis-32208	378	16	discrete	discrete	ADJ
fcis-32208	378	17	log	log	NOUN
fcis-32208	378	18	anomaly	anomaly	NOUN
fcis-32208	378	19	detection	detection	NOUN
fcis-32208	378	20	:	:	PUNCT
fcis-32208	378	21	a	a	DET
fcis-32208	378	22	novel	novel	ADJ
fcis-32208	378	23	time	time	NOUN
fcis-32208	378	24	-	-	PUNCT
fcis-32208	378	25	aware	aware	ADJ
fcis-32208	378	26	graph	graph	NOUN
fcis-32208	378	27	-	-	PUNCT
fcis-32208	378	28	based	base	VERB
fcis-32208	378	29	link	link	NOUN
fcis-32208	378	30	prediction	prediction	NOUN
fcis-32208	378	31	approach	approach	NOUN
fcis-32208	378	32	,	,	PUNCT
fcis-32208	378	33	’’	’'	PUNCT
fcis-32208	378	34	information	information	NOUN
fcis-32208	378	35	sciences	science	NOUN
fcis-32208	378	36	,	,	PUNCT
fcis-32208	378	37	vol	vol	NOUN
fcis-32208	378	38	.	.	PUNCT
fcis-32208	378	39	647	647	NUM
fcis-32208	378	40	,	,	PUNCT
fcis-32208	378	41	p.	p.	NOUN
fcis-32208	378	42	119576	119576	NUM
fcis-32208	378	43	,	,	PUNCT
fcis-32208	378	44	2023	2023	NUM
fcis-32208	378	45	.	.	PUNCT
fcis-32208	379	1	[	[	X
fcis-32208	379	2	23	23	NUM
fcis-32208	379	3	]	]	X
fcis-32208	379	4	e.	e.	PROPN
fcis-32208	379	5	o.	o.	PROPN
fcis-32208	379	6	omuya	omuya	PROPN
fcis-32208	379	7	,	,	PUNCT
fcis-32208	379	8	g.	g.	PROPN
fcis-32208	379	9	o.	o.	PROPN
fcis-32208	379	10	okeyo	okeyo	PROPN
fcis-32208	379	11	,	,	PUNCT
fcis-32208	379	12	and	and	CCONJ
fcis-32208	379	13	m.	m.	PROPN
fcis-32208	379	14	w.	w.	PROPN
fcis-32208	379	15	kimwele	kimwele	PROPN
fcis-32208	379	16	,	,	PUNCT
fcis-32208	379	17	‘	'	PUNCT
fcis-32208	379	18	‘	'	PUNCT
fcis-32208	379	19	feature	feature	NOUN
fcis-32208	379	20	selection	selection	NOUN
fcis-32208	379	21	for	for	ADP
fcis-32208	379	22	classification	classification	NOUN
fcis-32208	379	23	using	use	VERB
fcis-32208	379	24	principal	principal	ADJ
fcis-32208	379	25	component	component	NOUN
fcis-32208	379	26	analysis	analysis	NOUN
fcis-32208	379	27	and	and	CCONJ
fcis-32208	379	28	information	information	NOUN
fcis-32208	379	29	gain	gain	NOUN
fcis-32208	379	30	,	,	PUNCT
fcis-32208	379	31	’’	’'	PUNCT
fcis-32208	379	32	expert	expert	NOUN
fcis-32208	379	33	systems	system	NOUN
fcis-32208	379	34	with	with	ADP
fcis-32208	379	35	applications	application	NOUN
fcis-32208	379	36	,	,	PUNCT
fcis-32208	379	37	vol	vol	NOUN
fcis-32208	379	38	.	.	PROPN
fcis-32208	379	39	174	174	NUM
fcis-32208	379	40	,	,	PUNCT
fcis-32208	379	41	p.	p.	NOUN
fcis-32208	379	42	114765	114765	NUM
fcis-32208	379	43	,	,	PUNCT
fcis-32208	379	44	2021	2021	NUM
fcis-32208	379	45	.	.	PUNCT
fcis-32208	380	1	[	[	X
fcis-32208	380	2	24	24	NUM
fcis-32208	380	3	]	]	PUNCT
fcis-32208	380	4	m.	m.	NOUN
fcis-32208	380	5	gnouma	gnouma	PROPN
fcis-32208	380	6	,	,	PUNCT
fcis-32208	380	7	r.	r.	PROPN
fcis-32208	380	8	ejbali	ejbali	PROPN
fcis-32208	380	9	,	,	PUNCT
fcis-32208	380	10	and	and	CCONJ
fcis-32208	380	11	m.	m.	NOUN
fcis-32208	380	12	zaied	zaie	VERB
fcis-32208	380	13	,	,	PUNCT
fcis-32208	380	14	‘	'	PUNCT
fcis-32208	380	15	‘	'	PUNCT
fcis-32208	380	16	deep	deep	ADJ
fcis-32208	380	17	hashing	hashing	NOUN
fcis-32208	380	18	and	and	CCONJ
fcis-32208	380	19	sparse	sparse	ADJ
fcis-32208	380	20	representation	representation	NOUN
fcis-32208	380	21	of	of	ADP
fcis-32208	380	22	abnormal	abnormal	ADJ
fcis-32208	380	23	events	event	NOUN
fcis-32208	380	24	detection	detection	NOUN
fcis-32208	380	25	,	,	PUNCT
fcis-32208	380	26	’’	’'	PUNCT
fcis-32208	380	27	the	the	DET
fcis-32208	380	28	computer	computer	NOUN
fcis-32208	380	29	journal	journal	NOUN
fcis-32208	380	30	,	,	PUNCT
fcis-32208	380	31	vol	vol	NOUN
fcis-32208	380	32	.	.	PROPN
fcis-32208	380	33	67	67	NUM
fcis-32208	380	34	,	,	PUNCT
fcis-32208	380	35	no	no	INTJ
fcis-32208	380	36	.	.	NOUN
fcis-32208	380	37	1	1	NUM
fcis-32208	380	38	,	,	PUNCT
fcis-32208	380	39	pp	pp	ADJ
fcis-32208	380	40	.	.	PUNCT
fcis-32208	381	1	3–17	3–17	NUM
fcis-32208	381	2	,	,	PUNCT
fcis-32208	381	3	2024	2024	NUM
fcis-32208	381	4	.	.	PUNCT
fcis-32208	382	1	[	[	X
fcis-32208	382	2	25	25	NUM
fcis-32208	382	3	]	]	PUNCT
fcis-32208	382	4	j.	j.	PROPN
fcis-32208	382	5	sun	sun	PROPN
fcis-32208	382	6	,	,	PUNCT
fcis-32208	382	7	d.	d.	PROPN
fcis-32208	382	8	taylor	taylor	PROPN
fcis-32208	382	9	,	,	PUNCT
fcis-32208	382	10	and	and	CCONJ
fcis-32208	382	11	e.	e.	PROPN
fcis-32208	382	12	m.	m.	PROPN
fcis-32208	382	13	bollt	bollt	PROPN
fcis-32208	382	14	,	,	PUNCT
fcis-32208	382	15	‘	'	PUNCT
fcis-32208	382	16	‘	'	PUNCT
fcis-32208	382	17	causal	causal	ADJ
fcis-32208	382	18	network	network	NOUN
fcis-32208	382	19	inference	inference	NOUN
fcis-32208	382	20	by	by	ADP
fcis-32208	382	21	optimal	optimal	ADJ
fcis-32208	382	22	causation	causation	NOUN
fcis-32208	382	23	entropy	entropy	NOUN
fcis-32208	382	24	,	,	PUNCT
fcis-32208	382	25	’’	’'	PUNCT
fcis-32208	382	26	siam	siam	ADJ
fcis-32208	382	27	journal	journal	NOUN
fcis-32208	382	28	on	on	ADP
fcis-32208	382	29	applied	apply	VERB
fcis-32208	382	30	dynamical	dynamical	ADJ
fcis-32208	382	31	systems	system	NOUN
fcis-32208	382	32	,	,	PUNCT
fcis-32208	382	33	vol	vol	NOUN
fcis-32208	382	34	.	.	PROPN
fcis-32208	383	1	14	14	NUM
fcis-32208	383	2	,	,	PUNCT
fcis-32208	383	3	no	no	INTJ
fcis-32208	383	4	.	.	NOUN
fcis-32208	383	5	1	1	NUM
fcis-32208	383	6	,	,	PUNCT
fcis-32208	383	7	pp	pp	ADJ
fcis-32208	383	8	.	.	PUNCT
fcis-32208	384	1	73–106	73–106	NUM
fcis-32208	384	2	,	,	PUNCT
fcis-32208	384	3	2015	2015	NUM
fcis-32208	384	4	.	.	PUNCT
fcis-32208	385	1	[	[	X
fcis-32208	385	2	26	26	NUM
fcis-32208	385	3	]	]	PUNCT
fcis-32208	385	4	a.	a.	PROPN
fcis-32208	385	5	el	el	PROPN
fcis-32208	385	6	abdouli	abdouli	PROPN
fcis-32208	385	7	,	,	PUNCT
fcis-32208	385	8	a.	a.	PROPN
fcis-32208	385	9	chaffai	chaffai	PROPN
fcis-32208	385	10	,	,	PUNCT
fcis-32208	385	11	l.	l.	PROPN
fcis-32208	385	12	hassouni	hassouni	PROPN
fcis-32208	385	13	,	,	PUNCT
fcis-32208	385	14	h.	h.	PROPN
fcis-32208	385	15	anoun	anoun	PROPN
fcis-32208	385	16	,	,	PUNCT
fcis-32208	385	17	and	and	CCONJ
fcis-32208	385	18	k.	k.	PROPN
fcis-32208	385	19	rifi	rifi	PROPN
fcis-32208	385	20	,	,	PUNCT
fcis-32208	385	21	‘	'	PUNCT
fcis-32208	385	22	‘	'	PUNCT
fcis-32208	385	23	current	current	ADJ
fcis-32208	385	24	morroccan	morroccan	ADJ
fcis-32208	385	25	trends	trend	NOUN
fcis-32208	385	26	in	in	ADP
fcis-32208	385	27	social	social	ADJ
fcis-32208	385	28	networks	network	NOUN
fcis-32208	385	29	,	,	PUNCT
fcis-32208	385	30	’’	’'	PUNCT
fcis-32208	385	31	international	international	ADJ
fcis-32208	385	32	journal	journal	NOUN
fcis-32208	385	33	of	of	ADP
fcis-32208	385	34	computer	computer	NOUN
fcis-32208	385	35	science	science	NOUN
fcis-32208	385	36	and	and	CCONJ
fcis-32208	385	37	information	information	NOUN
fcis-32208	385	38	security	security	NOUN
fcis-32208	385	39	,	,	PUNCT
fcis-32208	385	40	vol	vol	NOUN
fcis-32208	385	41	.	.	PROPN
fcis-32208	385	42	14	14	NUM
fcis-32208	385	43	,	,	PUNCT
fcis-32208	385	44	no	no	INTJ
fcis-32208	385	45	.	.	NOUN
fcis-32208	385	46	3	3	NUM
fcis-32208	385	47	,	,	PUNCT
fcis-32208	385	48	pp	pp	ADJ
fcis-32208	385	49	.	.	PUNCT
fcis-32208	386	1	86–98	86–98	NUM
fcis-32208	386	2	,	,	PUNCT
fcis-32208	386	3	2016	2016	NUM
fcis-32208	386	4	.	.	PUNCT
fcis-32208	387	1	[	[	X
fcis-32208	387	2	27	27	NUM
fcis-32208	387	3	]	]	X
fcis-32208	387	4	c.	c.	PROPN
fcis-32208	387	5	wang	wang	PROPN
fcis-32208	387	6	,	,	PUNCT
fcis-32208	387	7	y.-m	y.-m	PROPN
fcis-32208	387	8	.	.	PUNCT
fcis-32208	388	1	zhang	zhang	PROPN
fcis-32208	388	2	,	,	PUNCT
fcis-32208	388	3	and	and	CCONJ
fcis-32208	388	4	c.-l	c.-l	PROPN
fcis-32208	388	5	.	.	PUNCT
fcis-32208	389	1	liu	liu	PROPN
fcis-32208	389	2	,	,	PUNCT
fcis-32208	389	3	‘	'	PUNCT
fcis-32208	389	4	‘	'	PUNCT
fcis-32208	389	5	anomaly	anomaly	NOUN
fcis-32208	389	6	detection	detection	NOUN
fcis-32208	389	7	via	via	ADP
fcis-32208	389	8	minimum	minimum	ADJ
fcis-32208	389	9	likelihood	likelihood	NOUN
fcis-32208	389	10	generative	generative	ADJ
fcis-32208	389	11	adversarial	adversarial	ADJ
fcis-32208	389	12	networks	network	NOUN
fcis-32208	389	13	,	,	PUNCT
fcis-32208	389	14	’’	’'	PUNCT
fcis-32208	389	15	in	in	ADP
fcis-32208	389	16	2018	2018	NUM
fcis-32208	389	17	24th	24th	NOUN
fcis-32208	389	18	international	international	ADJ
fcis-32208	389	19	conference	conference	NOUN
fcis-32208	389	20	on	on	ADP
fcis-32208	389	21	pattern	pattern	NOUN
fcis-32208	389	22	recognition	recognition	NOUN
fcis-32208	389	23	(	(	PUNCT
fcis-32208	389	24	icpr	icpr	PROPN
fcis-32208	389	25	)	)	PUNCT
fcis-32208	389	26	.	.	PUNCT
fcis-32208	390	1	ieee	ieee	PROPN
fcis-32208	390	2	,	,	PUNCT
fcis-32208	390	3	2018	2018	NUM
fcis-32208	390	4	,	,	PUNCT
fcis-32208	390	5	pp	pp	ADJ
fcis-32208	390	6	.	.	PUNCT
fcis-32208	390	7	1121–1126	1121–1126	NOUN
fcis-32208	390	8	.	.	PUNCT
fcis-32208	391	1	[	[	X
fcis-32208	391	2	28	28	NUM
fcis-32208	391	3	]	]	X
fcis-32208	391	4	a.	a.	NOUN
fcis-32208	391	5	guille	guille	PROPN
fcis-32208	391	6	and	and	CCONJ
fcis-32208	391	7	c.	c.	PROPN
fcis-32208	391	8	favre	favre	PROPN
fcis-32208	391	9	,	,	PUNCT
fcis-32208	391	10	‘	'	PUNCT
fcis-32208	391	11	‘	'	PUNCT
fcis-32208	391	12	event	event	NOUN
fcis-32208	391	13	detection	detection	NOUN
fcis-32208	391	14	,	,	PUNCT
fcis-32208	391	15	tracking	tracking	NOUN
fcis-32208	391	16	,	,	PUNCT
fcis-32208	391	17	and	and	CCONJ
fcis-32208	391	18	visualization	visualization	NOUN
fcis-32208	391	19	in	in	ADP
fcis-32208	391	20	twitter	twitter	NOUN
fcis-32208	391	21	:	:	PUNCT
fcis-32208	391	22	a	a	DET
fcis-32208	391	23	mention	mention	NOUN
fcis-32208	391	24	-	-	PUNCT
fcis-32208	391	25	anomaly	anomaly	NOUN
fcis-32208	391	26	-	-	PUNCT
fcis-32208	391	27	based	base	VERB
fcis-32208	391	28	approach	approach	NOUN
fcis-32208	391	29	,	,	PUNCT
fcis-32208	391	30	’’	’'	PUNCT
fcis-32208	391	31	social	social	ADJ
fcis-32208	391	32	network	network	NOUN
fcis-32208	391	33	analysis	analysis	NOUN
fcis-32208	391	34	and	and	CCONJ
fcis-32208	391	35	mining	mining	NOUN
fcis-32208	391	36	,	,	PUNCT
fcis-32208	391	37	vol	vol	NOUN
fcis-32208	391	38	.	.	PROPN
fcis-32208	391	39	5	5	NUM
fcis-32208	391	40	,	,	PUNCT
fcis-32208	391	41	no	no	INTJ
fcis-32208	391	42	.	.	NOUN
fcis-32208	391	43	1	1	NUM
fcis-32208	391	44	,	,	PUNCT
fcis-32208	391	45	p.	p.	NOUN
fcis-32208	391	46	18	18	NUM
fcis-32208	391	47	,	,	PUNCT
fcis-32208	391	48	2015	2015	NUM
fcis-32208	391	49	.	.	PUNCT
fcis-32208	392	1	[	[	X
fcis-32208	392	2	29	29	NUM
fcis-32208	392	3	]	]	PUNCT
fcis-32208	392	4	p.	p.	PROPN
fcis-32208	392	5	y.	y.	PROPN
fcis-32208	392	6	erfanian	erfanian	PROPN
fcis-32208	392	7	,	,	PUNCT
fcis-32208	392	8	b.	b.	PROPN
fcis-32208	392	9	r.	r.	PROPN
fcis-32208	392	10	cami	cami	PROPN
fcis-32208	392	11	,	,	PUNCT
fcis-32208	392	12	and	and	CCONJ
fcis-32208	392	13	h.	h.	PROPN
fcis-32208	392	14	hassanpour	hassanpour	PROPN
fcis-32208	392	15	,	,	PUNCT
fcis-32208	392	16	‘	'	PUNCT
fcis-32208	392	17	‘	'	PUNCT
fcis-32208	392	18	an	an	DET
fcis-32208	392	19	evolutionary	evolutionary	ADJ
fcis-32208	392	20	event	event	NOUN
fcis-32208	392	21	detection	detection	NOUN
fcis-32208	392	22	model	model	NOUN
fcis-32208	392	23	using	use	VERB
fcis-32208	392	24	the	the	DET
fcis-32208	392	25	matrix	matrix	NOUN
fcis-32208	392	26	decomposition	decomposition	NOUN
fcis-32208	392	27	oriented	orient	VERB
fcis-32208	392	28	dirichlet	dirichlet	NOUN
fcis-32208	392	29	process	process	NOUN
fcis-32208	392	30	,	,	PUNCT
fcis-32208	392	31	’’	’'	PUNCT
fcis-32208	392	32	expert	expert	NOUN
fcis-32208	392	33	systems	system	NOUN
fcis-32208	392	34	with	with	ADP
fcis-32208	392	35	applications	application	NOUN
fcis-32208	392	36	,	,	PUNCT
fcis-32208	392	37	vol	vol	NOUN
fcis-32208	392	38	.	.	PROPN
fcis-32208	392	39	189	189	NUM
fcis-32208	392	40	,	,	PUNCT
fcis-32208	392	41	p.	p.	NOUN
fcis-32208	392	42	116086	116086	NUM
fcis-32208	392	43	,	,	PUNCT
fcis-32208	392	44	2022	2022	NUM
fcis-32208	392	45	.	.	PUNCT
fcis-32208	393	1	[	[	X
fcis-32208	393	2	30	30	NUM
fcis-32208	393	3	]	]	X
fcis-32208	393	4	a.	a.	NOUN
fcis-32208	393	5	borg	borg	PROPN
fcis-32208	393	6	and	and	CCONJ
fcis-32208	393	7	m.	m.	PROPN
fcis-32208	393	8	boldt	boldt	PROPN
fcis-32208	393	9	,	,	PUNCT
fcis-32208	393	10	‘	'	PUNCT
fcis-32208	393	11	‘	'	PUNCT
fcis-32208	393	12	using	use	VERB
fcis-32208	393	13	vader	vader	NOUN
fcis-32208	393	14	sentiment	sentiment	NOUN
fcis-32208	393	15	and	and	CCONJ
fcis-32208	393	16	svm	svm	VERB
fcis-32208	393	17	for	for	ADP
fcis-32208	393	18	predicting	predict	VERB
fcis-32208	393	19	customer	customer	NOUN
fcis-32208	393	20	response	response	NOUN
fcis-32208	393	21	sentiment	sentiment	NOUN
fcis-32208	393	22	,	,	PUNCT
fcis-32208	393	23	’’	’'	PUNCT
fcis-32208	393	24	expert	expert	NOUN
fcis-32208	393	25	systems	system	NOUN
fcis-32208	393	26	with	with	ADP
fcis-32208	393	27	applications	application	NOUN
fcis-32208	393	28	,	,	PUNCT
fcis-32208	393	29	vol	vol	NOUN
fcis-32208	393	30	.	.	PROPN
fcis-32208	393	31	162	162	NUM
fcis-32208	393	32	,	,	PUNCT
fcis-32208	393	33	p.	p.	NOUN
fcis-32208	393	34	113746	113746	NUM
fcis-32208	393	35	,	,	PUNCT
fcis-32208	393	36	2020	2020	NUM
fcis-32208	393	37	.	.	PUNCT
fcis-32208	394	1	[	[	X
fcis-32208	394	2	31	31	NUM
fcis-32208	394	3	]	]	PUNCT
fcis-32208	394	4	x.	x.	PROPN
fcis-32208	394	5	chen	chen	PROPN
fcis-32208	394	6	,	,	PUNCT
fcis-32208	394	7	c.	c.	PROPN
fcis-32208	394	8	cao	cao	PROPN
fcis-32208	394	9	,	,	PUNCT
fcis-32208	394	10	and	and	CCONJ
fcis-32208	394	11	j.	j.	PROPN
fcis-32208	394	12	mai	mai	PROPN
fcis-32208	394	13	,	,	PUNCT
fcis-32208	394	14	‘	'	PUNCT
fcis-32208	394	15	‘	'	PUNCT
fcis-32208	394	16	network	network	NOUN
fcis-32208	394	17	anomaly	anomaly	NOUN
fcis-32208	394	18	detection	detection	NOUN
fcis-32208	394	19	based	base	VERB
fcis-32208	394	20	on	on	ADP
fcis-32208	394	21	deep	deep	ADJ
fcis-32208	394	22	support	support	NOUN
fcis-32208	394	23	vector	vector	NOUN
fcis-32208	394	24	data	datum	NOUN
fcis-32208	394	25	description	description	NOUN
fcis-32208	394	26	,	,	PUNCT
fcis-32208	394	27	’’	’'	PUNCT
fcis-32208	394	28	in	in	ADP
fcis-32208	394	29	2020	2020	NUM
fcis-32208	394	30	5th	5th	ADJ
fcis-32208	394	31	ieee	ieee	NOUN
fcis-32208	394	32	international	international	ADJ
fcis-32208	394	33	conference	conference	NOUN
fcis-32208	394	34	on	on	ADP
fcis-32208	394	35	big	big	ADJ
fcis-32208	394	36	data	datum	NOUN
fcis-32208	394	37	analytics	analytic	NOUN
fcis-32208	394	38	(	(	PUNCT
fcis-32208	394	39	icbda	icbda	NOUN
fcis-32208	394	40	)	)	PUNCT
fcis-32208	394	41	.	.	PUNCT
fcis-32208	395	1	ieee	ieee	PROPN
fcis-32208	395	2	,	,	PUNCT
fcis-32208	395	3	2020	2020	NUM
fcis-32208	395	4	,	,	PUNCT
fcis-32208	395	5	pp	pp	ADV
fcis-32208	395	6	.	.	PUNCT
fcis-32208	396	1	251–255	251–255	NUM
fcis-32208	396	2	.	.	PUNCT