id	sid	tid	token	lemma	pos
fcis-16179	1	1	frontiers	frontier	NOUN
fcis-16179	1	2	in	in	ADP
fcis-16179	1	3	computing	computing	NOUN
fcis-16179	1	4	and	and	CCONJ
fcis-16179	1	5	intelligent	intelligent	ADJ
fcis-16179	1	6	systems	system	NOUN
fcis-16179	1	7	issn	issn	VERB
fcis-16179	1	8	:	:	PUNCT
fcis-16179	1	9	2832	2832	NUM
fcis-16179	1	10	-	-	SYM
fcis-16179	1	11	6024	6024	NUM
fcis-16179	1	12	|	|	NOUN
fcis-16179	1	13	vol	vol	NOUN
fcis-16179	1	14	.	.	PROPN
fcis-16179	2	1	7	7	NUM
fcis-16179	2	2	,	,	PUNCT
fcis-16179	2	3	no	no	INTJ
fcis-16179	2	4	.	.	NOUN
fcis-16179	2	5	1	1	NUM
fcis-16179	2	6	,	,	PUNCT
fcis-16179	2	7	2024	2024	NUM
fcis-16179	2	8	14	14	NUM
fcis-16179	2	9	behavior	behavior	NOUN
fcis-16179	2	10	prediction	prediction	NOUN
fcis-16179	2	11	of	of	ADP
fcis-16179	2	12	vespa	vespa	PROPN
fcis-16179	2	13	mandarinia	mandarinia	PROPN
fcis-16179	2	14	based	base	VERB
fcis-16179	2	15	on	on	ADP
fcis-16179	2	16	convolutional	convolutional	ADJ
fcis-16179	2	17	neural	neural	ADJ
fcis-16179	2	18	networks	network	NOUN
fcis-16179	2	19	shihao	shihao	PROPN
fcis-16179	2	20	wu	wu	PROPN
fcis-16179	3	1	*	*	PUNCT
fcis-16179	3	2	school	school	PROPN
fcis-16179	3	3	of	of	ADP
fcis-16179	3	4	business	business	PROPN
fcis-16179	3	5	administration	administration	PROPN
fcis-16179	3	6	,	,	PUNCT
fcis-16179	3	7	guizhou	guizhou	PROPN
fcis-16179	3	8	university	university	PROPN
fcis-16179	3	9	of	of	ADP
fcis-16179	3	10	finance	finance	NOUN
fcis-16179	3	11	and	and	CCONJ
fcis-16179	3	12	economics	economic	NOUN
fcis-16179	3	13	,	,	PUNCT
fcis-16179	3	14	guiyang	guiyang	NOUN
fcis-16179	3	15	,	,	PUNCT
fcis-16179	3	16	guizhou	guizhou	PROPN
fcis-16179	3	17	,	,	PUNCT
fcis-16179	3	18	china	china	PROPN
fcis-16179	3	19	*	*	PUNCT
fcis-16179	3	20	corresponding	correspond	VERB
fcis-16179	3	21	author	author	NOUN
fcis-16179	3	22	email	email	NOUN
fcis-16179	3	23	:	:	PUNCT
fcis-16179	4	1	wish_542@163.com	wish_542@163.com	NUM
fcis-16179	4	2	abstract	abstract	NOUN
fcis-16179	4	3	:	:	PUNCT
fcis-16179	4	4	vespa	vespa	PROPN
fcis-16179	4	5	mandarinia	mandarinia	PROPN
fcis-16179	4	6	poses	pose	VERB
fcis-16179	4	7	a	a	DET
fcis-16179	4	8	significant	significant	ADJ
fcis-16179	4	9	threat	threat	NOUN
fcis-16179	4	10	to	to	ADP
fcis-16179	4	11	honey	honey	NOUN
fcis-16179	4	12	bees	bee	NOUN
fcis-16179	4	13	and	and	CCONJ
fcis-16179	4	14	beekeepers	beekeeper	NOUN
fcis-16179	4	15	.	.	PUNCT
fcis-16179	5	1	this	this	DET
fcis-16179	5	2	paper	paper	NOUN
fcis-16179	5	3	aims	aim	VERB
fcis-16179	5	4	to	to	PART
fcis-16179	5	5	accurately	accurately	ADV
fcis-16179	5	6	predict	predict	VERB
fcis-16179	5	7	the	the	DET
fcis-16179	5	8	presence	presence	NOUN
fcis-16179	5	9	and	and	CCONJ
fcis-16179	5	10	behavior	behavior	NOUN
fcis-16179	5	11	of	of	ADP
fcis-16179	5	12	vespa	vespa	PROPN
fcis-16179	5	13	mandarinia	mandarinia	PROPN
fcis-16179	5	14	to	to	PART
fcis-16179	5	15	enable	enable	VERB
fcis-16179	5	16	effective	effective	ADJ
fcis-16179	5	17	control	control	NOUN
fcis-16179	5	18	strategies	strategy	NOUN
fcis-16179	5	19	.	.	PUNCT
fcis-16179	6	1	we	we	PRON
fcis-16179	6	2	develop	develop	VERB
fcis-16179	6	3	an	an	DET
fcis-16179	6	4	"	"	PUNCT
fcis-16179	6	5	asian	asian	ADJ
fcis-16179	6	6	hornet	hornet	PROPN
fcis-16179	6	7	queen	queen	PROPN
fcis-16179	6	8	prediction	prediction	NOUN
fcis-16179	6	9	model	model	NOUN
fcis-16179	6	10	"	"	PUNCT
fcis-16179	6	11	to	to	PART
fcis-16179	6	12	forecast	forecast	VERB
fcis-16179	6	13	the	the	DET
fcis-16179	6	14	dispersal	dispersal	NOUN
fcis-16179	6	15	path	path	NOUN
fcis-16179	6	16	and	and	CCONJ
fcis-16179	6	17	number	number	NOUN
fcis-16179	6	18	of	of	ADP
fcis-16179	6	19	queens	queen	NOUN
fcis-16179	6	20	,	,	PUNCT
fcis-16179	6	21	identifying	identify	VERB
fcis-16179	6	22	their	their	PRON
fcis-16179	6	23	concentration	concentration	NOUN
fcis-16179	6	24	in	in	ADP
fcis-16179	6	25	bellingham	bellingham	PROPN
fcis-16179	6	26	,	,	PUNCT
fcis-16179	6	27	washington	washington	PROPN
fcis-16179	6	28	,	,	PUNCT
fcis-16179	6	29	and	and	CCONJ
fcis-16179	6	30	bellingham	bellingham	PROPN
fcis-16179	6	31	,	,	PUNCT
fcis-16179	6	32	canada	canada	PROPN
fcis-16179	6	33	.	.	PUNCT
fcis-16179	7	1	using	use	VERB
fcis-16179	7	2	a	a	DET
fcis-16179	7	3	convolutional	convolutional	ADJ
fcis-16179	7	4	neural	neural	ADJ
fcis-16179	7	5	network	network	NOUN
fcis-16179	7	6	,	,	PUNCT
fcis-16179	7	7	we	we	PRON
fcis-16179	7	8	achieve	achieve	VERB
fcis-16179	7	9	96.13	96.13	NUM
fcis-16179	7	10	%	%	NOUN
fcis-16179	7	11	accuracy	accuracy	NOUN
fcis-16179	7	12	in	in	ADP
fcis-16179	7	13	identifying	identify	VERB
fcis-16179	7	14	vespa	vespa	PROPN
fcis-16179	7	15	mandarinia	mandarinia	NOUN
fcis-16179	7	16	images	image	NOUN
fcis-16179	7	17	.	.	PUNCT
fcis-16179	8	1	analyzing	analyze	VERB
fcis-16179	8	2	confidence	confidence	NOUN
fcis-16179	8	3	levels	level	NOUN
fcis-16179	8	4	of	of	ADP
fcis-16179	8	5	unprocessed	unprocesse	VERB
fcis-16179	8	6	and	and	CCONJ
fcis-16179	8	7	unverified	unverified	ADJ
fcis-16179	8	8	labels	label	NOUN
fcis-16179	8	9	reveals	reveal	VERB
fcis-16179	8	10	a	a	DET
fcis-16179	8	11	significant	significant	ADJ
fcis-16179	8	12	number	number	NOUN
fcis-16179	8	13	of	of	ADP
fcis-16179	8	14	high	high	ADJ
fcis-16179	8	15	-	-	PUNCT
fcis-16179	8	16	confidence	confidence	NOUN
fcis-16179	8	17	samples	sample	NOUN
fcis-16179	8	18	.	.	PUNCT
fcis-16179	9	1	incorporating	incorporate	VERB
fcis-16179	9	2	human	human	ADJ
fcis-16179	9	3	control	control	NOUN
fcis-16179	9	4	factors	factor	NOUN
fcis-16179	9	5	into	into	ADP
fcis-16179	9	6	the	the	DET
fcis-16179	9	7	model	model	NOUN
fcis-16179	9	8	,	,	PUNCT
fcis-16179	9	9	we	we	PRON
fcis-16179	9	10	find	find	VERB
fcis-16179	9	11	60	60	NUM
fcis-16179	9	12	%	%	NOUN
fcis-16179	9	13	human	human	ADJ
fcis-16179	9	14	intervention	intervention	NOUN
fcis-16179	9	15	to	to	PART
fcis-16179	9	16	be	be	AUX
fcis-16179	9	17	most	most	ADV
fcis-16179	9	18	effective	effective	ADJ
fcis-16179	9	19	in	in	ADP
fcis-16179	9	20	reducing	reduce	VERB
fcis-16179	9	21	the	the	DET
fcis-16179	9	22	number	number	NOUN
fcis-16179	9	23	of	of	ADP
fcis-16179	9	24	asian	asian	ADJ
fcis-16179	9	25	hornet	hornet	NOUN
fcis-16179	9	26	queens	queen	NOUN
fcis-16179	9	27	.	.	PUNCT
fcis-16179	10	1	ultimately	ultimately	ADV
fcis-16179	10	2	,	,	PUNCT
fcis-16179	10	3	our	our	PRON
fcis-16179	10	4	research	research	NOUN
fcis-16179	10	5	highlights	highlight	VERB
fcis-16179	10	6	the	the	DET
fcis-16179	10	7	potential	potential	NOUN
fcis-16179	10	8	for	for	ADP
fcis-16179	10	9	anthropological	anthropological	ADJ
fcis-16179	10	10	or	or	CCONJ
fcis-16179	10	11	ecological	ecological	ADJ
fcis-16179	10	12	measures	measure	NOUN
fcis-16179	10	13	to	to	PART
fcis-16179	10	14	eliminate	eliminate	VERB
fcis-16179	10	15	vespa	vespa	PROPN
fcis-16179	10	16	mandarinia	mandarinia	NOUN
fcis-16179	10	17	populations	population	NOUN
fcis-16179	10	18	,	,	PUNCT
fcis-16179	10	19	aiding	aid	VERB
fcis-16179	10	20	in	in	ADP
fcis-16179	10	21	resource	resource	NOUN
fcis-16179	10	22	allocation	allocation	NOUN
fcis-16179	10	23	for	for	ADP
fcis-16179	10	24	proactive	proactive	ADJ
fcis-16179	10	25	management	management	NOUN
fcis-16179	10	26	.	.	PUNCT
fcis-16179	11	1	keywords	keyword	NOUN
fcis-16179	11	2	:	:	PUNCT
fcis-16179	11	3	component	component	NOUN
fcis-16179	11	4	;	;	PUNCT
fcis-16179	11	5	convolutional	convolutional	ADJ
fcis-16179	11	6	neural	neural	ADJ
fcis-16179	11	7	networks	network	NOUN
fcis-16179	11	8	;	;	PUNCT
fcis-16179	11	9	poisson	poisson	NOUN
fcis-16179	11	10	distribution	distribution	NOUN
fcis-16179	11	11	;	;	PUNCT
fcis-16179	11	12	vespa	vespa	PROPN
fcis-16179	11	13	mandarinia	mandarinia	PROPN
fcis-16179	11	14	.	.	PUNCT
fcis-16179	12	1	1	1	X
fcis-16179	12	2	.	.	X
fcis-16179	12	3	introduction	introduction	NOUN
fcis-16179	12	4	vespa	vespa	PROPN
fcis-16179	12	5	mandarinia	mandarinia	PROPN
fcis-16179	12	6	,	,	PUNCT
fcis-16179	12	7	also	also	ADV
fcis-16179	12	8	known	know	VERB
fcis-16179	12	9	as	as	ADP
fcis-16179	12	10	the	the	DET
fcis-16179	12	11	asian	asian	ADJ
fcis-16179	12	12	hornet	hornet	NOUN
fcis-16179	12	13	,	,	PUNCT
fcis-16179	12	14	is	be	AUX
fcis-16179	12	15	native	native	ADJ
fcis-16179	12	16	to	to	ADP
fcis-16179	12	17	southeastern	southeastern	VERB
fcis-16179	12	18	asia	asia	PROPN
fcis-16179	12	19	,	,	PUNCT
fcis-16179	12	20	including	include	VERB
fcis-16179	12	21	japan	japan	PROPN
fcis-16179	12	22	,	,	PUNCT
fcis-16179	12	23	china	china	PROPN
fcis-16179	12	24	,	,	PUNCT
fcis-16179	12	25	and	and	CCONJ
fcis-16179	12	26	india	india	PROPN
fcis-16179	12	27	.	.	PUNCT
fcis-16179	13	1	vespa	vespa	PROPN
fcis-16179	13	2	mandarinia	mandarinia	PROPN
fcis-16179	13	3	is	be	AUX
fcis-16179	13	4	a	a	DET
fcis-16179	13	5	predator	predator	NOUN
fcis-16179	13	6	of	of	ADP
fcis-16179	13	7	other	other	ADJ
fcis-16179	13	8	insects	insect	NOUN
fcis-16179	13	9	and	and	CCONJ
fcis-16179	13	10	has	have	VERB
fcis-16179	13	11	a	a	DET
fcis-16179	13	12	particular	particular	ADJ
fcis-16179	13	13	affinity	affinity	NOUN
fcis-16179	13	14	for	for	ADP
fcis-16179	13	15	feeding	feed	VERB
fcis-16179	13	16	on	on	ADP
fcis-16179	13	17	bees	bee	NOUN
fcis-16179	13	18	from	from	ADP
fcis-16179	13	19	august	august	PROPN
fcis-16179	13	20	to	to	ADP
fcis-16179	13	21	october	october	PROPN
fcis-16179	13	22	,	,	PUNCT
fcis-16179	13	23	causing	cause	VERB
fcis-16179	13	24	significant	significant	ADJ
fcis-16179	13	25	damage	damage	NOUN
fcis-16179	13	26	to	to	PART
fcis-16179	13	27	hive	hive	VERB
fcis-16179	13	28	and	and	CCONJ
fcis-16179	13	29	leading	lead	VERB
fcis-16179	13	30	to	to	ADP
fcis-16179	13	31	the	the	DET
fcis-16179	13	32	destruction	destruction	NOUN
fcis-16179	13	33	of	of	ADP
fcis-16179	13	34	entire	entire	ADJ
fcis-16179	13	35	bee	bee	NOUN
fcis-16179	13	36	colonies	colony	NOUN
fcis-16179	13	37	within	within	ADP
fcis-16179	13	38	a	a	DET
fcis-16179	13	39	short	short	ADJ
fcis-16179	13	40	period	period	NOUN
fcis-16179	13	41	of	of	ADP
fcis-16179	13	42	time	time	NOUN
fcis-16179	13	43	.	.	PUNCT
fcis-16179	14	1	consequently	consequently	ADV
fcis-16179	14	2	,	,	PUNCT
fcis-16179	14	3	the	the	DET
fcis-16179	14	4	widespread	widespread	ADJ
fcis-16179	14	5	spread	spread	NOUN
fcis-16179	14	6	of	of	ADP
fcis-16179	14	7	vespa	vespa	PROPN
fcis-16179	14	8	mandarinia	mandarinia	PROPN
fcis-16179	14	9	poses	pose	VERB
fcis-16179	14	10	a	a	DET
fcis-16179	14	11	considerable	considerable	ADJ
fcis-16179	14	12	threat	threat	NOUN
fcis-16179	14	13	to	to	ADP
fcis-16179	14	14	bees	bee	NOUN
fcis-16179	14	15	and	and	CCONJ
fcis-16179	14	16	beekeepers	beekeeper	NOUN
fcis-16179	14	17	.	.	PUNCT
fcis-16179	15	1	therefore	therefore	ADV
fcis-16179	15	2	,	,	PUNCT
fcis-16179	15	3	it	it	PRON
fcis-16179	15	4	is	be	AUX
fcis-16179	15	5	crucial	crucial	ADJ
fcis-16179	15	6	to	to	PART
fcis-16179	15	7	accurately	accurately	ADV
fcis-16179	15	8	identify	identify	VERB
fcis-16179	15	9	the	the	DET
fcis-16179	15	10	presence	presence	NOUN
fcis-16179	15	11	of	of	ADP
fcis-16179	15	12	vespa	vespa	PROPN
fcis-16179	15	13	mandarinia	mandarinia	NOUN
fcis-16179	15	14	and	and	CCONJ
fcis-16179	15	15	further	far	ADV
fcis-16179	15	16	study	study	VERB
fcis-16179	15	17	its	its	PRON
fcis-16179	15	18	physical	physical	ADJ
fcis-16179	15	19	characteristics	characteristic	NOUN
fcis-16179	15	20	and	and	CCONJ
fcis-16179	15	21	behavioral	behavioral	ADJ
fcis-16179	15	22	habits	habit	NOUN
fcis-16179	15	23	.	.	PUNCT
fcis-16179	16	1	the	the	DET
fcis-16179	16	2	objective	objective	NOUN
fcis-16179	16	3	of	of	ADP
fcis-16179	16	4	this	this	DET
fcis-16179	16	5	study	study	NOUN
fcis-16179	16	6	is	be	AUX
fcis-16179	16	7	to	to	PART
fcis-16179	16	8	address	address	VERB
fcis-16179	16	9	the	the	DET
fcis-16179	16	10	challenge	challenge	NOUN
fcis-16179	16	11	of	of	ADP
fcis-16179	16	12	accurately	accurately	ADV
fcis-16179	16	13	predicting	predict	VERB
fcis-16179	16	14	the	the	DET
fcis-16179	16	15	presence	presence	NOUN
fcis-16179	16	16	and	and	CCONJ
fcis-16179	16	17	behavior	behavior	NOUN
fcis-16179	16	18	of	of	ADP
fcis-16179	16	19	vespa	vespa	PROPN
fcis-16179	16	20	mandarinia	mandarinia	PROPN
fcis-16179	16	21	.	.	PUNCT
fcis-16179	17	1	to	to	PART
fcis-16179	17	2	effectively	effectively	ADV
fcis-16179	17	3	prevent	prevent	VERB
fcis-16179	17	4	and	and	CCONJ
fcis-16179	17	5	control	control	VERB
fcis-16179	17	6	the	the	DET
fcis-16179	17	7	potential	potential	ADJ
fcis-16179	17	8	impact	impact	NOUN
fcis-16179	17	9	of	of	ADP
fcis-16179	17	10	vespa	vespa	PROPN
fcis-16179	17	11	mandarinia	mandarinia	PROPN
fcis-16179	17	12	,	,	PUNCT
fcis-16179	17	13	it	it	PRON
fcis-16179	17	14	is	be	AUX
fcis-16179	17	15	necessary	necessary	ADJ
fcis-16179	17	16	to	to	PART
fcis-16179	17	17	assess	assess	VERB
fcis-16179	17	18	the	the	DET
fcis-16179	17	19	reliability	reliability	NOUN
fcis-16179	17	20	of	of	ADP
fcis-16179	17	21	reported	report	VERB
fcis-16179	17	22	information	information	NOUN
fcis-16179	17	23	based	base	VERB
fcis-16179	17	24	on	on	ADP
fcis-16179	17	25	photos	photo	NOUN
fcis-16179	17	26	,	,	PUNCT
fcis-16179	17	27	videos	video	NOUN
fcis-16179	17	28	,	,	PUNCT
fcis-16179	17	29	and	and	CCONJ
fcis-16179	17	30	witness	witness	NOUN
fcis-16179	17	31	comments	comment	NOUN
fcis-16179	17	32	,	,	PUNCT
fcis-16179	17	33	enabling	enable	VERB
fcis-16179	17	34	the	the	DET
fcis-16179	17	35	rational	rational	ADJ
fcis-16179	17	36	allocation	allocation	NOUN
fcis-16179	17	37	of	of	ADP
fcis-16179	17	38	national	national	ADJ
fcis-16179	17	39	resources	resource	NOUN
fcis-16179	17	40	for	for	ADP
fcis-16179	17	41	subsequent	subsequent	ADJ
fcis-16179	17	42	investigations	investigation	NOUN
fcis-16179	17	43	.	.	PUNCT
fcis-16179	18	1	the	the	DET
fcis-16179	18	2	significance	significance	NOUN
fcis-16179	18	3	of	of	ADP
fcis-16179	18	4	studying	study	VERB
fcis-16179	18	5	vespa	vespa	PROPN
fcis-16179	18	6	mandarinia	mandarinia	PROPN
fcis-16179	18	7	,	,	PUNCT
fcis-16179	18	8	the	the	DET
fcis-16179	18	9	asian	asian	ADJ
fcis-16179	18	10	hornet	hornet	NOUN
fcis-16179	18	11	,	,	PUNCT
fcis-16179	18	12	can	can	AUX
fcis-16179	18	13	be	be	AUX
fcis-16179	18	14	understood	understand	VERB
fcis-16179	18	15	in	in	ADP
fcis-16179	18	16	three	three	NUM
fcis-16179	18	17	main	main	ADJ
fcis-16179	18	18	aspects	aspect	NOUN
fcis-16179	18	19	:	:	PUNCT
fcis-16179	18	20	pest	pest	NOUN
fcis-16179	18	21	management	management	NOUN
fcis-16179	18	22	strategies	strategy	NOUN
fcis-16179	18	23	,	,	PUNCT
fcis-16179	18	24	ecological	ecological	ADJ
fcis-16179	18	25	balance	balance	NOUN
fcis-16179	18	26	,	,	PUNCT
fcis-16179	18	27	and	and	CCONJ
fcis-16179	18	28	public	public	ADJ
fcis-16179	18	29	safety	safety	NOUN
fcis-16179	18	30	.	.	PUNCT
fcis-16179	19	1	firstly	firstly	ADV
fcis-16179	19	2	,	,	PUNCT
fcis-16179	19	3	vespa	vespa	PROPN
fcis-16179	19	4	mandarinia	mandarinia	PROPN
fcis-16179	19	5	poses	pose	VERB
fcis-16179	19	6	a	a	DET
fcis-16179	19	7	significant	significant	ADJ
fcis-16179	19	8	threat	threat	NOUN
fcis-16179	19	9	as	as	ADP
fcis-16179	19	10	a	a	DET
fcis-16179	19	11	predator	predator	NOUN
fcis-16179	19	12	to	to	ADP
fcis-16179	19	13	honey	honey	NOUN
fcis-16179	19	14	bees	bee	NOUN
fcis-16179	19	15	and	and	CCONJ
fcis-16179	19	16	other	other	ADJ
fcis-16179	19	17	insects	insect	NOUN
fcis-16179	19	18	.	.	PUNCT
fcis-16179	20	1	understanding	understand	VERB
fcis-16179	20	2	its	its	PRON
fcis-16179	20	3	distribution	distribution	NOUN
fcis-16179	20	4	range	range	NOUN
fcis-16179	20	5	,	,	PUNCT
fcis-16179	20	6	dispersal	dispersal	NOUN
fcis-16179	20	7	rate	rate	NOUN
fcis-16179	20	8	,	,	PUNCT
fcis-16179	20	9	and	and	CCONJ
fcis-16179	20	10	behavioral	behavioral	ADJ
fcis-16179	20	11	characteristics	characteristic	NOUN
fcis-16179	20	12	is	be	AUX
fcis-16179	20	13	critical	critical	ADJ
fcis-16179	20	14	for	for	ADP
fcis-16179	20	15	developing	develop	VERB
fcis-16179	20	16	effective	effective	ADJ
fcis-16179	20	17	pest	pest	NOUN
fcis-16179	20	18	management	management	NOUN
fcis-16179	20	19	strategies	strategy	NOUN
fcis-16179	20	20	.	.	PUNCT
fcis-16179	21	1	secondly	secondly	ADV
fcis-16179	21	2	,	,	PUNCT
fcis-16179	21	3	vespa	vespa	PROPN
fcis-16179	21	4	mandarinia	mandarinia	PROPN
fcis-16179	21	5	has	have	VERB
fcis-16179	21	6	complex	complex	ADJ
fcis-16179	21	7	interrelationships	interrelationship	NOUN
fcis-16179	21	8	with	with	ADP
fcis-16179	21	9	other	other	ADJ
fcis-16179	21	10	species	specie	NOUN
fcis-16179	21	11	,	,	PUNCT
fcis-16179	21	12	and	and	CCONJ
fcis-16179	21	13	studying	study	VERB
fcis-16179	21	14	its	its	PRON
fcis-16179	21	15	predatory	predatory	ADJ
fcis-16179	21	16	behavior	behavior	NOUN
fcis-16179	21	17	,	,	PUNCT
fcis-16179	21	18	feeding	feeding	NOUN
fcis-16179	21	19	habits	habit	NOUN
fcis-16179	21	20	,	,	PUNCT
fcis-16179	21	21	and	and	CCONJ
fcis-16179	21	22	ecological	ecological	ADJ
fcis-16179	21	23	roles	role	NOUN
fcis-16179	21	24	can	can	AUX
fcis-16179	21	25	provide	provide	VERB
fcis-16179	21	26	insights	insight	NOUN
fcis-16179	21	27	into	into	ADP
fcis-16179	21	28	food	food	NOUN
fcis-16179	21	29	webs	webs	NOUN
fcis-16179	21	30	and	and	CCONJ
fcis-16179	21	31	interdependencies	interdependency	NOUN
fcis-16179	21	32	in	in	ADP
fcis-16179	21	33	ecosystems	ecosystem	NOUN
fcis-16179	21	34	.	.	PUNCT
fcis-16179	22	1	this	this	DET
fcis-16179	22	2	knowledge	knowledge	NOUN
fcis-16179	22	3	is	be	AUX
fcis-16179	22	4	vital	vital	ADJ
fcis-16179	22	5	for	for	ADP
fcis-16179	22	6	maintaining	maintain	VERB
fcis-16179	22	7	ecological	ecological	ADJ
fcis-16179	22	8	balance	balance	NOUN
fcis-16179	22	9	,	,	PUNCT
fcis-16179	22	10	conserving	conserve	VERB
fcis-16179	22	11	biodiversity	biodiversity	NOUN
fcis-16179	22	12	,	,	PUNCT
fcis-16179	22	13	and	and	CCONJ
fcis-16179	22	14	ensuring	ensure	VERB
fcis-16179	22	15	the	the	DET
fcis-16179	22	16	health	health	NOUN
fcis-16179	22	17	of	of	ADP
fcis-16179	22	18	agricultural	agricultural	ADJ
fcis-16179	22	19	and	and	CCONJ
fcis-16179	22	20	natural	natural	ADJ
fcis-16179	22	21	ecosystems	ecosystem	NOUN
fcis-16179	22	22	.	.	PUNCT
fcis-16179	23	1	lastly	lastly	ADV
fcis-16179	23	2	,	,	PUNCT
fcis-16179	23	3	vespa	vespa	PROPN
fcis-16179	23	4	mandarinia	mandarinia	PROPN
fcis-16179	23	5	is	be	AUX
fcis-16179	23	6	known	know	VERB
fcis-16179	23	7	for	for	ADP
fcis-16179	23	8	its	its	PRON
fcis-16179	23	9	aggressive	aggressive	ADJ
fcis-16179	23	10	nature	nature	NOUN
fcis-16179	23	11	and	and	CCONJ
fcis-16179	23	12	the	the	DET
fcis-16179	23	13	potential	potential	ADJ
fcis-16179	23	14	health	health	NOUN
fcis-16179	23	15	risks	risk	NOUN
fcis-16179	23	16	associated	associate	VERB
fcis-16179	23	17	with	with	ADP
fcis-16179	23	18	its	its	PRON
fcis-16179	23	19	stings	sting	NOUN
fcis-16179	23	20	to	to	ADP
fcis-16179	23	21	humans	human	NOUN
fcis-16179	23	22	.	.	PUNCT
fcis-16179	24	1	by	by	ADP
fcis-16179	24	2	studying	study	VERB
fcis-16179	24	3	the	the	DET
fcis-16179	24	4	distribution	distribution	NOUN
fcis-16179	24	5	,	,	PUNCT
fcis-16179	24	6	behavior	behavior	NOUN
fcis-16179	24	7	,	,	PUNCT
fcis-16179	24	8	and	and	CCONJ
fcis-16179	24	9	dispersal	dispersal	NOUN
fcis-16179	24	10	trends	trend	NOUN
fcis-16179	24	11	of	of	ADP
fcis-16179	24	12	vespa	vespa	PROPN
fcis-16179	24	13	mandarinia	mandarinia	PROPN
fcis-16179	24	14	,	,	PUNCT
fcis-16179	24	15	it	it	PRON
fcis-16179	24	16	is	be	AUX
fcis-16179	24	17	possible	possible	ADJ
fcis-16179	24	18	to	to	PART
fcis-16179	24	19	develop	develop	VERB
fcis-16179	24	20	public	public	ADJ
fcis-16179	24	21	safety	safety	NOUN
fcis-16179	24	22	measures	measure	NOUN
fcis-16179	24	23	aimed	aim	VERB
fcis-16179	24	24	at	at	ADP
fcis-16179	24	25	reducing	reduce	VERB
fcis-16179	24	26	human	human	ADJ
fcis-16179	24	27	contact	contact	NOUN
fcis-16179	24	28	and	and	CCONJ
fcis-16179	24	29	conflicts	conflict	NOUN
fcis-16179	24	30	with	with	ADP
fcis-16179	24	31	this	this	DET
fcis-16179	24	32	species	specie	NOUN
fcis-16179	24	33	.	.	PUNCT
fcis-16179	25	1	this	this	DET
fcis-16179	25	2	paper	paper	NOUN
fcis-16179	25	3	aims	aim	VERB
fcis-16179	25	4	to	to	PART
fcis-16179	25	5	address	address	VERB
fcis-16179	25	6	the	the	DET
fcis-16179	25	7	challenge	challenge	NOUN
fcis-16179	25	8	of	of	ADP
fcis-16179	25	9	predicting	predict	VERB
fcis-16179	25	10	vespa	vespa	PROPN
fcis-16179	25	11	mandarinia	mandarinia	PROPN
fcis-16179	25	12	's	's	PART
fcis-16179	25	13	presence	presence	NOUN
fcis-16179	25	14	and	and	CCONJ
fcis-16179	25	15	behavior	behavior	NOUN
fcis-16179	25	16	using	use	VERB
fcis-16179	25	17	convolutional	convolutional	ADJ
fcis-16179	25	18	neural	neural	ADJ
fcis-16179	25	19	networks	network	NOUN
fcis-16179	25	20	(	(	PUNCT
fcis-16179	25	21	cnns	cnns	PROPN
fcis-16179	25	22	)	)	PUNCT
fcis-16179	25	23	.	.	PUNCT
fcis-16179	26	1	the	the	DET
fcis-16179	26	2	subsequent	subsequent	ADJ
fcis-16179	26	3	sections	section	NOUN
fcis-16179	26	4	will	will	AUX
fcis-16179	26	5	present	present	VERB
fcis-16179	26	6	the	the	DET
fcis-16179	26	7	materials	material	NOUN
fcis-16179	26	8	and	and	CCONJ
fcis-16179	26	9	methods	method	NOUN
fcis-16179	26	10	employed	employ	VERB
fcis-16179	26	11	,	,	PUNCT
fcis-16179	26	12	the	the	DET
fcis-16179	26	13	results	result	NOUN
fcis-16179	26	14	and	and	CCONJ
fcis-16179	26	15	discussion	discussion	NOUN
fcis-16179	26	16	of	of	ADP
fcis-16179	26	17	the	the	DET
fcis-16179	26	18	study	study	NOUN
fcis-16179	26	19	,	,	PUNCT
fcis-16179	26	20	the	the	DET
fcis-16179	26	21	conclusions	conclusion	NOUN
fcis-16179	26	22	drawn	draw	VERB
fcis-16179	26	23	from	from	ADP
fcis-16179	26	24	the	the	DET
fcis-16179	26	25	findings	finding	NOUN
fcis-16179	26	26	.	.	PUNCT
fcis-16179	27	1	by	by	ADP
fcis-16179	27	2	accurately	accurately	ADV
fcis-16179	27	3	predicting	predict	VERB
fcis-16179	27	4	vespa	vespa	PROPN
fcis-16179	27	5	mandarinia	mandarinia	PROPN
fcis-16179	27	6	,	,	PUNCT
fcis-16179	27	7	this	this	DET
fcis-16179	27	8	study	study	NOUN
fcis-16179	27	9	has	have	VERB
fcis-16179	27	10	the	the	DET
fcis-16179	27	11	potential	potential	NOUN
fcis-16179	27	12	to	to	PART
fcis-16179	27	13	contribute	contribute	VERB
fcis-16179	27	14	significantly	significantly	ADV
fcis-16179	27	15	to	to	PART
fcis-16179	27	16	pest	pest	VERB
fcis-16179	27	17	management	management	NOUN
fcis-16179	27	18	strategies	strategy	NOUN
fcis-16179	27	19	,	,	PUNCT
fcis-16179	27	20	ecological	ecological	ADJ
fcis-16179	27	21	balance	balance	NOUN
fcis-16179	27	22	,	,	PUNCT
fcis-16179	27	23	and	and	CCONJ
fcis-16179	27	24	public	public	ADJ
fcis-16179	27	25	safety	safety	NOUN
fcis-16179	27	26	measures	measure	NOUN
fcis-16179	27	27	.	.	PUNCT
fcis-16179	28	1	2	2	X
fcis-16179	28	2	.	.	X
fcis-16179	28	3	materials	material	NOUN
fcis-16179	28	4	and	and	CCONJ
fcis-16179	28	5	methods	method	NOUN
fcis-16179	28	6	to	to	PART
fcis-16179	28	7	effectively	effectively	ADV
fcis-16179	28	8	forecast	forecast	VERB
fcis-16179	28	9	the	the	DET
fcis-16179	28	10	future	future	ADJ
fcis-16179	28	11	spread	spread	NOUN
fcis-16179	28	12	and	and	CCONJ
fcis-16179	28	13	reproductive	reproductive	ADJ
fcis-16179	28	14	rate	rate	NOUN
fcis-16179	28	15	of	of	ADP
fcis-16179	28	16	vespa	vespa	PROPN
fcis-16179	28	17	mandarinia	mandarinia	PROPN
fcis-16179	28	18	,	,	PUNCT
fcis-16179	28	19	comprehensive	comprehensive	ADJ
fcis-16179	28	20	information	information	NOUN
fcis-16179	28	21	regarding	regard	VERB
fcis-16179	28	22	its	its	PRON
fcis-16179	28	23	habits	habit	NOUN
fcis-16179	28	24	and	and	CCONJ
fcis-16179	28	25	migration	migration	NOUN
fcis-16179	28	26	patterns	pattern	NOUN
fcis-16179	28	27	was	be	AUX
fcis-16179	28	28	gathered	gather	VERB
fcis-16179	28	29	.	.	PUNCT
fcis-16179	29	1	this	this	DET
fcis-16179	29	2	knowledge	knowledge	NOUN
fcis-16179	29	3	served	serve	VERB
fcis-16179	29	4	as	as	ADP
fcis-16179	29	5	the	the	DET
fcis-16179	29	6	foundation	foundation	NOUN
fcis-16179	29	7	for	for	ADP
fcis-16179	29	8	the	the	DET
fcis-16179	29	9	development	development	NOUN
fcis-16179	29	10	of	of	ADP
fcis-16179	29	11	the	the	DET
fcis-16179	29	12	"	"	PUNCT
fcis-16179	29	13	asian	asian	ADJ
fcis-16179	29	14	giant	giant	ADJ
fcis-16179	29	15	hornet	hornet	PROPN
fcis-16179	29	16	queen	queen	PROPN
fcis-16179	29	17	prediction	prediction	NOUN
fcis-16179	29	18	model	model	NOUN
fcis-16179	29	19	,	,	PUNCT
fcis-16179	29	20	"	"	PUNCT
fcis-16179	29	21	which	which	PRON
fcis-16179	29	22	utilized	utilize	VERB
fcis-16179	29	23	both	both	CCONJ
fcis-16179	29	24	the	the	DET
fcis-16179	29	25	available	available	ADJ
fcis-16179	29	26	knowledge	knowledge	NOUN
fcis-16179	29	27	and	and	CCONJ
fcis-16179	29	28	pertinent	pertinent	ADJ
fcis-16179	29	29	data	datum	NOUN
fcis-16179	29	30	.	.	PUNCT
fcis-16179	30	1	by	by	ADP
fcis-16179	30	2	considering	consider	VERB
fcis-16179	30	3	the	the	DET
fcis-16179	30	4	initial	initial	ADJ
fcis-16179	30	5	latitude	latitude	NOUN
fcis-16179	30	6	and	and	CCONJ
fcis-16179	30	7	longitude	longitude	ADJ
fcis-16179	30	8	coordinates	coordinate	NOUN
fcis-16179	30	9	,	,	PUNCT
fcis-16179	30	10	this	this	DET
fcis-16179	30	11	model	model	NOUN
fcis-16179	30	12	offers	offer	VERB
fcis-16179	30	13	predictions	prediction	NOUN
fcis-16179	30	14	regarding	regard	VERB
fcis-16179	30	15	the	the	DET
fcis-16179	30	16	temporal	temporal	ADJ
fcis-16179	30	17	changes	change	NOUN
fcis-16179	30	18	in	in	ADP
fcis-16179	30	19	the	the	DET
fcis-16179	30	20	distribution	distribution	NOUN
fcis-16179	30	21	and	and	CCONJ
fcis-16179	30	22	yearly	yearly	ADJ
fcis-16179	30	23	expansion	expansion	NOUN
fcis-16179	30	24	of	of	ADP
fcis-16179	30	25	vespa	vespa	PROPN
fcis-16179	30	26	mandarinia	mandarinia	PROPN
fcis-16179	30	27	.	.	PUNCT
fcis-16179	31	1	similarly	similarly	ADV
fcis-16179	31	2	,	,	PUNCT
fcis-16179	31	3	in	in	ADP
fcis-16179	31	4	addition	addition	NOUN
fcis-16179	31	5	to	to	ADP
fcis-16179	31	6	a	a	DET
fcis-16179	31	7	prediction	prediction	NOUN
fcis-16179	31	8	of	of	ADP
fcis-16179	31	9	the	the	DET
fcis-16179	31	10	number	number	NOUN
fcis-16179	31	11	of	of	ADP
fcis-16179	31	12	vespa	vespa	NOUN
fcis-16179	31	13	mandarinia	mandarinia	NOUN
fcis-16179	31	14	and	and	CCONJ
fcis-16179	31	15	their	their	PRON
fcis-16179	31	16	dispersal	dispersal	NOUN
fcis-16179	31	17	routes	route	NOUN
fcis-16179	31	18	,	,	PUNCT
fcis-16179	31	19	there	there	PRON
fcis-16179	31	20	is	be	VERB
fcis-16179	31	21	a	a	DET
fcis-16179	31	22	need	need	NOUN
fcis-16179	31	23	to	to	PART
fcis-16179	31	24	identify	identify	VERB
fcis-16179	31	25	vespa	vespa	PROPN
fcis-16179	31	26	mandarinia	mandarinia	NOUN
fcis-16179	31	27	images	image	NOUN
fcis-16179	31	28	for	for	ADP
fcis-16179	31	29	some	some	DET
fcis-16179	31	30	uncertain	uncertain	ADJ
fcis-16179	31	31	and	and	CCONJ
fcis-16179	31	32	undetected	undetected	ADJ
fcis-16179	31	33	sighting	sighting	NOUN
fcis-16179	31	34	swarms	swarm	NOUN
fcis-16179	31	35	.	.	PUNCT
fcis-16179	32	1	we	we	PRON
fcis-16179	32	2	originally	originally	ADV
fcis-16179	32	3	tried	try	VERB
fcis-16179	32	4	to	to	PART
fcis-16179	32	5	use	use	VERB
fcis-16179	32	6	a	a	DET
fcis-16179	32	7	convolutional	convolutional	ADJ
fcis-16179	32	8	neural	neural	ADJ
fcis-16179	32	9	network	network	NOUN
fcis-16179	32	10	model	model	NOUN
fcis-16179	32	11	for	for	ADP
fcis-16179	32	12	image	image	NOUN
fcis-16179	32	13	recognition	recognition	NOUN
fcis-16179	32	14	,	,	PUNCT
fcis-16179	32	15	but	but	CCONJ
fcis-16179	32	16	we	we	PRON
fcis-16179	32	17	modified	modify	VERB
fcis-16179	32	18	the	the	DET
fcis-16179	32	19	original	original	ADJ
fcis-16179	32	20	model	model	NOUN
fcis-16179	32	21	because	because	SCONJ
fcis-16179	32	22	the	the	DET
fcis-16179	32	23	positive	positive	ADJ
fcis-16179	32	24	i	i	PROPN
fcis-16179	32	25	d	d	PROPN
fcis-16179	32	26	record	record	NOUN
fcis-16179	32	27	was	be	AUX
fcis-16179	32	28	too	too	ADV
fcis-16179	32	29	small	small	ADJ
fcis-16179	32	30	and	and	CCONJ
fcis-16179	32	31	the	the	DET
fcis-16179	32	32	original	original	ADJ
fcis-16179	32	33	model	model	NOUN
fcis-16179	32	34	used	use	VERB
fcis-16179	32	35	too	too	ADV
fcis-16179	32	36	many	many	ADJ
fcis-16179	32	37	parameters	parameter	NOUN
fcis-16179	32	38	.	.	PUNCT
fcis-16179	33	1	the	the	DET
fcis-16179	33	2	incoming	incoming	ADJ
fcis-16179	33	3	parameters	parameter	NOUN
fcis-16179	33	4	and	and	CCONJ
fcis-16179	33	5	the	the	DET
fcis-16179	33	6	fit	fit	NOUN
fcis-16179	33	7	were	be	AUX
fcis-16179	33	8	reduced	reduce	VERB
fcis-16179	33	9	to	to	PART
fcis-16179	33	10	make	make	VERB
fcis-16179	33	11	the	the	DET
fcis-16179	33	12	prediction	prediction	NOUN
fcis-16179	33	13	more	more	ADV
fcis-16179	33	14	accurate	accurate	ADJ
fcis-16179	33	15	.	.	PUNCT
fcis-16179	34	1	with	with	ADP
fcis-16179	34	2	the	the	DET
fcis-16179	34	3	two	two	NUM
fcis-16179	34	4	models	model	NOUN
fcis-16179	34	5	we	we	PRON
fcis-16179	34	6	built	build	VERB
fcis-16179	34	7	,	,	PUNCT
fcis-16179	34	8	we	we	PRON
fcis-16179	34	9	reclassify	reclassify	VERB
fcis-16179	34	10	the	the	DET
fcis-16179	34	11	more	more	ADV
fcis-16179	34	12	current	current	ADJ
fcis-16179	34	13	unidentified	unidentified	ADJ
fcis-16179	34	14	,	,	PUNCT
fcis-16179	34	15	undetermined	undetermined	ADJ
fcis-16179	34	16	records	record	NOUN
fcis-16179	34	17	to	to	PART
fcis-16179	34	18	classify	classify	VERB
fcis-16179	34	19	the	the	DET
fcis-16179	34	20	confidence	confidence	NOUN
fcis-16179	34	21	interval	interval	NOUN
fcis-16179	34	22	and	and	CCONJ
fcis-16179	34	23	the	the	DET
fcis-16179	34	24	range	range	NOUN
fcis-16179	34	25	of	of	ADP
fcis-16179	34	26	images	image	NOUN
fcis-16179	34	27	that	that	PRON
fcis-16179	34	28	may	may	AUX
fcis-16179	34	29	be	be	AUX
fcis-16179	34	30	vespa	vespa	PROPN
fcis-16179	34	31	mandarinia	mandarinia	PROPN
fcis-16179	34	32	.	.	PUNCT
fcis-16179	35	1	using	use	VERB
fcis-16179	35	2	our	our	PRON
fcis-16179	35	3	models	model	NOUN
fcis-16179	35	4	to	to	PART
fcis-16179	35	5	view	view	VERB
fcis-16179	35	6	the	the	DET
fcis-16179	35	7	growth	growth	NOUN
fcis-16179	35	8	trend	trend	NOUN
fcis-16179	35	9	and	and	CCONJ
fcis-16179	35	10	spread	spread	VERB
fcis-16179	35	11	range	range	NOUN
fcis-16179	35	12	of	of	ADP
fcis-16179	35	13	vespa	vespa	PROPN
fcis-16179	35	14	mandarinia	mandarinia	PROPN
fcis-16179	35	15	,	,	PUNCT
fcis-16179	35	16	the	the	DET
fcis-16179	35	17	optimal	optimal	ADJ
fcis-16179	35	18	ratio	ratio	NOUN
fcis-16179	35	19	of	of	ADP
fcis-16179	35	20	human	human	ADJ
fcis-16179	35	21	intervention	intervention	NOUN
fcis-16179	35	22	is	be	AUX
fcis-16179	35	23	derived	derive	VERB
fcis-16179	35	24	,	,	PUNCT
fcis-16179	35	25	and	and	CCONJ
fcis-16179	35	26	the	the	DET
fcis-16179	35	27	number	number	NOUN
fcis-16179	35	28	and	and	CCONJ
fcis-16179	35	29	ratio	ratio	NOUN
fcis-16179	35	30	of	of	ADP
fcis-16179	35	31	vespa	vespa	PROPN
fcis-16179	35	32	mandarinia	mandarinia	NOUN
fcis-16179	35	33	is	be	AUX
fcis-16179	35	34	reasonably	reasonably	ADV
fcis-16179	35	35	controlled	control	VERB
fcis-16179	35	36	to	to	PART
fcis-16179	35	37	avoid	avoid	VERB
fcis-16179	35	38	greater	great	ADJ
fcis-16179	35	39	disasters	disaster	NOUN
fcis-16179	35	40	.	.	PUNCT
fcis-16179	36	1	2.1.data	2.1.data	NUM
fcis-16179	36	2	pre	pre	ADJ
fcis-16179	36	3	-	-	NOUN
fcis-16179	36	4	processing	processing	NOUN
fcis-16179	36	5	to	to	PART
fcis-16179	36	6	ensure	ensure	VERB
fcis-16179	36	7	the	the	DET
fcis-16179	36	8	accuracy	accuracy	NOUN
fcis-16179	36	9	of	of	ADP
fcis-16179	36	10	the	the	DET
fcis-16179	36	11	results	result	NOUN
fcis-16179	36	12	,	,	PUNCT
fcis-16179	36	13	we	we	PRON
fcis-16179	36	14	pre	pre	VERB
fcis-16179	36	15	-	-	VERB
fcis-16179	36	16	processed	process	VERB
fcis-16179	36	17	the	the	DET
fcis-16179	36	18	data	datum	NOUN
fcis-16179	36	19	before	before	ADP
fcis-16179	36	20	constructing	construct	VERB
fcis-16179	36	21	the	the	DET
fcis-16179	36	22	model	model	NOUN
fcis-16179	36	23	as	as	SCONJ
fcis-16179	36	24	follows	follow	VERB
fcis-16179	36	25	.	.	PUNCT
fcis-16179	37	1	step1	step1	PROPN
fcis-16179	37	2	:	:	PUNCT
fcis-16179	37	3	descriptive	descriptive	ADJ
fcis-16179	37	4	statistical	statistical	ADJ
fcis-16179	37	5	analysis	analysis	NOUN
fcis-16179	37	6	[	[	X
fcis-16179	37	7	1	1	NUM
fcis-16179	37	8	]	]	PUNCT
fcis-16179	37	9	.	.	PUNCT
fcis-16179	38	1	by	by	ADP
fcis-16179	38	2	plotting	plot	VERB
fcis-16179	38	3	the	the	DET
fcis-16179	38	4	15	15	NUM
fcis-16179	38	5	image	image	NOUN
fcis-16179	38	6	recognition	recognition	NOUN
fcis-16179	38	7	status	status	NOUN
fcis-16179	38	8	,	,	PUNCT
fcis-16179	38	9	we	we	PRON
fcis-16179	38	10	found	find	VERB
fcis-16179	38	11	that	that	SCONJ
fcis-16179	38	12	there	there	PRON
fcis-16179	38	13	are	be	VERB
fcis-16179	38	14	more	more	ADV
fcis-16179	38	15	unprocessed	unprocessed	ADJ
fcis-16179	38	16	and	and	CCONJ
fcis-16179	38	17	unverified	unverified	ADJ
fcis-16179	38	18	image	image	NOUN
fcis-16179	38	19	data	datum	NOUN
fcis-16179	38	20	in	in	ADP
fcis-16179	38	21	the	the	DET
fcis-16179	38	22	dataset	dataset	NOUN
fcis-16179	38	23	,	,	PUNCT
fcis-16179	38	24	followed	follow	VERB
fcis-16179	38	25	by	by	ADP
fcis-16179	38	26	negative	negative	ADJ
fcis-16179	38	27	i	i	PROPN
fcis-16179	38	28	d	d	PROPN
fcis-16179	38	29	,	,	PUNCT
fcis-16179	38	30	and	and	CCONJ
fcis-16179	38	31	positive	positive	ADJ
fcis-16179	38	32	i	i	NOUN
fcis-16179	38	33	d	d	PROPN
fcis-16179	38	34	is	be	AUX
fcis-16179	38	35	relatively	relatively	ADV
fcis-16179	38	36	few	few	ADJ
fcis-16179	38	37	with	with	ADP
fcis-16179	38	38	only	only	ADV
fcis-16179	38	39	14	14	NUM
fcis-16179	38	40	valid	valid	ADJ
fcis-16179	38	41	data	datum	NOUN
fcis-16179	38	42	.	.	PUNCT
fcis-16179	39	1	step2	step2	PROPN
fcis-16179	39	2	:	:	PUNCT
fcis-16179	39	3	general	general	ADJ
fcis-16179	39	4	data	datum	NOUN
fcis-16179	39	5	cleaning	clean	VERB
fcis-16179	39	6	[	[	X
fcis-16179	39	7	2	2	NUM
fcis-16179	39	8	]	]	PUNCT
fcis-16179	39	9	.	.	PUNCT
fcis-16179	40	1	firstly	firstly	ADV
fcis-16179	40	2	,	,	PUNCT
fcis-16179	40	3	the	the	DET
fcis-16179	40	4	data	data	NOUN
fcis-16179	40	5	is	be	AUX
fcis-16179	40	6	aggregated	aggregate	VERB
fcis-16179	40	7	,	,	PUNCT
fcis-16179	40	8	and	and	CCONJ
fcis-16179	40	9	after	after	SCONJ
fcis-16179	40	10	missing	miss	VERB
fcis-16179	40	11	values	value	NOUN
fcis-16179	40	12	are	be	AUX
fcis-16179	40	13	removed	remove	VERB
fcis-16179	40	14	,	,	PUNCT
fcis-16179	40	15	lab	lab	NOUN
fcis-16179	40	16	status	status	NOUN
fcis-16179	40	17	is	be	AUX
fcis-16179	40	18	classified	classify	VERB
fcis-16179	40	19	according	accord	VERB
fcis-16179	40	20	to	to	ADP
fcis-16179	40	21	attributes	attribute	NOUN
fcis-16179	40	22	to	to	PART
fcis-16179	40	23	obtain	obtain	VERB
fcis-16179	40	24	the	the	DET
fcis-16179	40	25	result	result	NOUN
fcis-16179	40	26	of	of	ADP
fcis-16179	40	27	text	text	NOUN
fcis-16179	40	28	vectorization	vectorization	NOUN
fcis-16179	40	29	.	.	PUNCT
fcis-16179	41	1	2.2	2.2	NUM
fcis-16179	41	2	.	.	PUNCT
fcis-16179	42	1	poisson	poisson	NOUN
fcis-16179	42	2	distribution	distribution	NOUN
fcis-16179	42	3	and	and	CCONJ
fcis-16179	42	4	poisson	poisson	NOUN
fcis-16179	42	5	stochastic	stochastic	NOUN
fcis-16179	42	6	process	process	NOUN
fcis-16179	42	7	after	after	ADP
fcis-16179	42	8	preprocessing	preprocesse	VERB
fcis-16179	42	9	the	the	DET
fcis-16179	42	10	data	datum	NOUN
fcis-16179	42	11	,	,	PUNCT
fcis-16179	42	12	we	we	PRON
fcis-16179	42	13	predict	predict	VERB
fcis-16179	42	14	the	the	DET
fcis-16179	42	15	vespa	vespa	PROPN
fcis-16179	42	16	mandarinia	mandarinia	PROPN
fcis-16179	42	17	propagation	propagation	NOUN
fcis-16179	42	18	process	process	NOUN
fcis-16179	42	19	using	use	VERB
fcis-16179	42	20	a	a	DET
fcis-16179	42	21	poisson	poisson	NOUN
fcis-16179	42	22	stochastic	stochastic	NOUN
fcis-16179	42	23	process	process	NOUN
fcis-16179	42	24	and	and	CCONJ
fcis-16179	42	25	estimate	estimate	VERB
fcis-16179	42	26	the	the	DET
fcis-16179	42	27	prediction	prediction	NOUN
fcis-16179	42	28	accuracy	accuracy	NOUN
fcis-16179	42	29	.	.	PUNCT
fcis-16179	43	1	if	if	SCONJ
fcis-16179	43	2	the	the	DET
fcis-16179	43	3	random	random	ADJ
fcis-16179	43	4	variable	variable	NOUN
fcis-16179	43	5	x	x	PUNCT
fcis-16179	43	6	takes	take	VERB
fcis-16179	43	7	0	0	NUM
fcis-16179	43	8	,	,	PUNCT
fcis-16179	43	9	1	1	NUM
fcis-16179	43	10	...	...	PUNCT
fcis-16179	43	11	n	n	CCONJ
fcis-16179	43	12	...	...	PUNCT
fcis-16179	43	13	the	the	DET
fcis-16179	43	14	probability	probability	NOUN
fcis-16179	43	15	of	of	ADP
fcis-16179	43	16	each	each	DET
fcis-16179	43	17	value	value	NOUN
fcis-16179	43	18	of	of	ADP
fcis-16179	43	19	it	it	PRON
fcis-16179	43	20	is	be	AUX
fcis-16179	43	21	[	[	X
fcis-16179	43	22	3	3	NUM
fcis-16179	43	23	]	]	PUNCT
fcis-16179	43	24	:	:	PUNCT
fcis-16179	43	25	(	(	PUNCT
fcis-16179	43	26	)	)	PUNCT
fcis-16179	43	27	{	{	PUNCT
fcis-16179	43	28	}	}	PUNCT
fcis-16179	43	29	!	!	PUNCT
fcis-16179	44	1	k	k	PROPN
fcis-16179	45	1	p	p	X
fcis-16179	45	2	x	x	X
fcis-16179	45	3	k	k	PROPN
fcis-16179	45	4	e	e	PROPN
fcis-16179	45	5	k	k	PROPN
fcis-16179	45	6			X
fcis-16179	45	7			PROPN
fcis-16179	45	8			NUM
fcis-16179	45	9	(	(	PUNCT
fcis-16179	45	10	1	1	NUM
fcis-16179	45	11	)	)	PUNCT
fcis-16179	45	12	then	then	ADV
fcis-16179	45	13	x	x	X
fcis-16179	45	14	is	be	AUX
fcis-16179	45	15	said	say	VERB
fcis-16179	45	16	to	to	PART
fcis-16179	45	17	obey	obey	VERB
fcis-16179	45	18	a	a	DET
fcis-16179	45	19	poisson	poisson	NOUN
fcis-16179	45	20	distribution	distribution	NOUN
fcis-16179	45	21	with	with	ADP
fcis-16179	45	22	parameter	parameter	NOUN
fcis-16179	45	23			PROPN
fcis-16179	45	24	.	.	PUNCT
fcis-16179	46	1	the	the	DET
fcis-16179	46	2	average	average	ADJ
fcis-16179	46	3	number	number	NOUN
fcis-16179	46	4	of	of	ADP
fcis-16179	46	5	eggs	egg	NOUN
fcis-16179	46	6	laid	lay	VERB
fcis-16179	46	7	by	by	ADP
fcis-16179	46	8	an	an	DET
fcis-16179	46	9	asian	asian	ADJ
fcis-16179	46	10	giant	giant	ADJ
fcis-16179	46	11	hornet	hornet	PROPN
fcis-16179	46	12	queen	queen	NOUN
fcis-16179	46	13	each	each	DET
fcis-16179	46	14	year	year	NOUN
fcis-16179	46	15	that	that	PRON
fcis-16179	46	16	can	can	AUX
fcis-16179	46	17	become	become	VERB
fcis-16179	46	18	a	a	DET
fcis-16179	46	19	queen	queen	NOUN
fcis-16179	46	20	.	.	PUNCT
fcis-16179	47	1	in	in	ADP
fcis-16179	47	2	this	this	DET
fcis-16179	47	3	paper	paper	NOUN
fcis-16179	47	4	,	,	PUNCT
fcis-16179	47	5	it	it	PRON
fcis-16179	47	6	is	be	AUX
fcis-16179	47	7	assumed	assume	VERB
fcis-16179	47	8	that	that	SCONJ
fcis-16179	47	9	an	an	DET
fcis-16179	47	10	asian	asian	ADJ
fcis-16179	47	11	giant	giant	ADJ
fcis-16179	47	12	hornet	hornet	NOUN
fcis-16179	47	13	queen	queen	PROPN
fcis-16179	47	14	can	can	AUX
fcis-16179	47	15	produce	produce	VERB
fcis-16179	47	16	200	200	NUM
fcis-16179	47	17	eggs	egg	NOUN
fcis-16179	47	18	per	per	ADP
fcis-16179	47	19	year	year	NOUN
fcis-16179	47	20	,	,	PUNCT
fcis-16179	47	21	of	of	ADP
fcis-16179	47	22	which	which	PRON
fcis-16179	47	23	10	10	NUM
fcis-16179	47	24	%	%	NOUN
fcis-16179	47	25	can	can	AUX
fcis-16179	47	26	produce	produce	VERB
fcis-16179	47	27	queens	queen	NOUN
fcis-16179	47	28	,	,	PUNCT
fcis-16179	47	29	since	since	SCONJ
fcis-16179	47	30	10	10	PROPN
fcis-16179	47	31			NOUN
fcis-16179	47	32	.	.	PUNCT
fcis-16179	48	1	the	the	DET
fcis-16179	48	2	process	process	NOUN
fcis-16179	48	3	of	of	ADP
fcis-16179	48	4	generating	generate	VERB
fcis-16179	48	5	random	random	ADJ
fcis-16179	48	6	numbers	number	NOUN
fcis-16179	48	7	using	use	VERB
fcis-16179	48	8	poisson	poisson	NOUN
fcis-16179	48	9	distribution	distribution	NOUN
fcis-16179	48	10	is	be	AUX
fcis-16179	48	11	as	as	SCONJ
fcis-16179	48	12	follows	follow	VERB
fcis-16179	48	13	[	[	X
fcis-16179	48	14	4	4	NUM
fcis-16179	48	15	]	]	NUM
fcis-16179	48	16	:	:	PUNCT
fcis-16179	48	17	(	(	PUNCT
fcis-16179	48	18	)	)	PUNCT
fcis-16179	48	19	(	(	PUNCT
fcis-16179	48	20	(	(	PUNCT
fcis-16179	48	21	)	)	PUNCT
fcis-16179	48	22	)	)	PUNCT
fcis-16179	48	23	!	!	PUNCT
fcis-16179	49	1	n	n	CCONJ
fcis-16179	49	2	tt	tt	PROPN
fcis-16179	49	3	e	e	PROPN
fcis-16179	49	4	p	p	PROPN
fcis-16179	49	5	n	n	PROPN
fcis-16179	49	6	t	t	PROPN
fcis-16179	49	7	n	n	CCONJ
fcis-16179	49	8	n	n	PRON
fcis-16179	49	9			VERB
fcis-16179	49	10			NOUN
fcis-16179	49	11			NUM
fcis-16179	49	12			NOUN
fcis-16179	49	13	(	(	PUNCT
fcis-16179	49	14	2	2	NUM
fcis-16179	49	15	)	)	PUNCT
fcis-16179	49	16	we	we	PRON
fcis-16179	49	17	used	use	VERB
fcis-16179	49	18	the	the	DET
fcis-16179	49	19	longitude	longitude	ADJ
fcis-16179	49	20	and	and	CCONJ
fcis-16179	49	21	latitude	latitude	NOUN
fcis-16179	49	22	location	location	NOUN
fcis-16179	49	23	of	of	ADP
fcis-16179	49	24	the	the	DET
fcis-16179	49	25	queen	queen	NOUN
fcis-16179	49	26	’s	’s	PART
fcis-16179	49	27	presence	presence	NOUN
fcis-16179	49	28	in	in	ADP
fcis-16179	49	29	the	the	DET
fcis-16179	49	30	first	first	ADJ
fcis-16179	49	31	year	year	NOUN
fcis-16179	49	32	as	as	ADP
fcis-16179	49	33	the	the	DET
fcis-16179	49	34	benchmark	benchmark	NOUN
fcis-16179	49	35	,	,	PUNCT
fcis-16179	49	36	and	and	CCONJ
fcis-16179	49	37	since	since	SCONJ
fcis-16179	49	38	the	the	DET
fcis-16179	49	39	queen	queen	NOUN
fcis-16179	49	40	’s	’s	PART
fcis-16179	49	41	activity	activity	NOUN
fcis-16179	49	42	radius	radius	NOUN
fcis-16179	49	43	is	be	AUX
fcis-16179	49	44	30	30	NUM
fcis-16179	49	45	km	km	NOUN
fcis-16179	49	46	,	,	PUNCT
fcis-16179	49	47	the	the	DET
fcis-16179	49	48	newly	newly	ADV
fcis-16179	49	49	generated	generate	VERB
fcis-16179	49	50	hive	hive	NOUN
fcis-16179	49	51	each	each	DET
fcis-16179	49	52	year	year	NOUN
fcis-16179	49	53	is	be	AUX
fcis-16179	49	54	uniformly	uniformly	ADV
fcis-16179	49	55	distributed	distribute	VERB
fcis-16179	49	56	within	within	ADP
fcis-16179	49	57	a	a	DET
fcis-16179	49	58	circle	circle	NOUN
fcis-16179	49	59	with	with	ADP
fcis-16179	49	60	30	30	NUM
fcis-16179	49	61	km	km	NOUN
fcis-16179	49	62	radius	radius	NOUN
fcis-16179	49	63	from	from	ADP
fcis-16179	49	64	its	its	PRON
fcis-16179	49	65	birth	birth	NOUN
fcis-16179	49	66	point	point	NOUN
fcis-16179	49	67	,	,	PUNCT
fcis-16179	49	68	i.e.	i.e.	X
fcis-16179	49	69	,	,	PUNCT
fcis-16179	49	70	the	the	DET
fcis-16179	49	71	surviving	survive	VERB
fcis-16179	49	72	queens	queen	NOUN
fcis-16179	49	73	after	after	ADP
fcis-16179	49	74	laying	lay	VERB
fcis-16179	49	75	eggs	egg	NOUN
fcis-16179	49	76	are	be	AUX
fcis-16179	49	77	uniformly	uniformly	ADV
fcis-16179	49	78	distributed	distribute	VERB
fcis-16179	49	79	within	within	ADP
fcis-16179	49	80	30	30	NUM
fcis-16179	49	81	km	km	NOUN
fcis-16179	49	82	.	.	PUNCT
fcis-16179	50	1	at	at	ADP
fcis-16179	50	2	the	the	DET
fcis-16179	50	3	same	same	ADJ
fcis-16179	50	4	time	time	NOUN
fcis-16179	50	5	,	,	PUNCT
fcis-16179	50	6	the	the	DET
fcis-16179	50	7	number	number	NOUN
fcis-16179	50	8	of	of	ADP
fcis-16179	50	9	eggs	egg	NOUN
fcis-16179	50	10	laid	lay	VERB
fcis-16179	50	11	was	be	AUX
fcis-16179	50	12	randomly	randomly	ADV
fcis-16179	50	13	generated	generate	VERB
fcis-16179	50	14	with	with	ADP
fcis-16179	50	15	a	a	DET
fcis-16179	50	16	poisson	poisson	NOUN
fcis-16179	50	17	distributed	distribute	VERB
fcis-16179	50	18	random	random	ADJ
fcis-16179	50	19	number	number	NOUN
fcis-16179	50	20	of	of	ADP
fcis-16179	50	21	the	the	DET
fcis-16179	50	22	latitude	latitude	NOUN
fcis-16179	50	23	and	and	CCONJ
fcis-16179	50	24	longitude	longitude	NOUN
fcis-16179	50	25	of	of	ADP
fcis-16179	50	26	the	the	DET
fcis-16179	50	27	next	next	ADJ
fcis-16179	50	28	surviving	survive	VERB
fcis-16179	50	29	queen	queen	NOUN
fcis-16179	50	30	with	with	ADP
fcis-16179	50	31	a	a	DET
fcis-16179	50	32	radius	radius	NOUN
fcis-16179	50	33	of	of	ADP
fcis-16179	50	34	30	30	NUM
fcis-16179	50	35	km	km	NOUN
fcis-16179	50	36	from	from	ADP
fcis-16179	50	37	the	the	DET
fcis-16179	50	38	latitude	latitude	NOUN
fcis-16179	50	39	and	and	CCONJ
fcis-16179	50	40	longitude	longitude	ADJ
fcis-16179	50	41	reference	reference	NOUN
fcis-16179	50	42	value	value	NOUN
fcis-16179	50	43	.	.	PUNCT
fcis-16179	51	1	the	the	DET
fcis-16179	51	2	average	average	ADJ
fcis-16179	51	3	number	number	NOUN
fcis-16179	51	4	of	of	ADP
fcis-16179	51	5	eggs	egg	NOUN
fcis-16179	51	6	laid	lay	VERB
fcis-16179	51	7	by	by	ADP
fcis-16179	51	8	asian	asian	ADJ
fcis-16179	51	9	giant	giant	ADJ
fcis-16179	51	10	hornet	hornet	NOUN
fcis-16179	51	11	queens	queen	NOUN
fcis-16179	51	12	each	each	DET
fcis-16179	51	13	year	year	NOUN
fcis-16179	51	14	that	that	PRON
fcis-16179	51	15	can	can	AUX
fcis-16179	51	16	become	become	VERB
fcis-16179	51	17	asian	asian	ADJ
fcis-16179	51	18	giant	giant	ADJ
fcis-16179	51	19	hornet	hornet	NOUN
fcis-16179	51	20	queens	queen	NOUN
fcis-16179	51	21	is	be	AUX
fcis-16179	51	22	10	10	NUM
fcis-16179	51	23	.	.	PUNCT
fcis-16179	52	1	formula	formula	NOUN
fcis-16179	52	2	for	for	ADP
fcis-16179	52	3	calculating	calculate	VERB
fcis-16179	52	4	the	the	DET
fcis-16179	52	5	distance	distance	NOUN
fcis-16179	52	6	between	between	ADP
fcis-16179	52	7	two	two	NUM
fcis-16179	52	8	points	point	NOUN
fcis-16179	52	9	using	use	VERB
fcis-16179	52	10	latitude	latitude	NOUN
fcis-16179	52	11	and	and	CCONJ
fcis-16179	52	12	longitude	longitude	NOUN
fcis-16179	52	13	:	:	PUNCT
fcis-16179	52	14	2	2	NUM
fcis-16179	52	15	(	(	PUNCT
fcis-16179	52	16	)	)	PUNCT
fcis-16179	52	17	2	2	NUM
fcis-16179	52	18	2	2	NUM
fcis-16179	52	19	(	(	PUNCT
fcis-16179	52	20	l	l	NOUN
fcis-16179	52	21	rarcsin	rarcsin	NOUN
fcis-16179	52	22	si	si	PROPN
fcis-16179	52	23	c	c	PROPN
fcis-16179	52	24	wa	wa	PROPN
fcis-16179	52	25	wb	wb	PROPN
fcis-16179	52	26	n	n	ADV
fcis-16179	52	27			PROPN
fcis-16179	52	28			PRON
fcis-16179	52	29			PUNCT
fcis-16179	52	30	(	(	PUNCT
fcis-16179	52	31	3	3	X
fcis-16179	52	32	)	)	PUNCT
fcis-16179	52	33	2cos	2cos	PROPN
fcis-16179	52	34	c	c	X
fcis-16179	52	35	(	(	PUNCT
fcis-16179	52	36	)	)	PUNCT
fcis-16179	52	37	2	2	NUM
fcis-16179	52	38	oswa	oswa	NOUN
fcis-16179	52	39	wbsc	wbsc	NOUN
fcis-16179	52	40	in	in	ADP
fcis-16179	52	41	ja	ja	PROPN
fcis-16179	52	42	jb	jb	PROPN
fcis-16179	53	1			PROPN
fcis-16179	53	2	(	(	PUNCT
fcis-16179	53	3	4	4	NUM
fcis-16179	53	4	)	)	PUNCT
fcis-16179	53	5	6378137r	6378137r	NOUN
fcis-16179	53	6	m	m	NOUN
fcis-16179	53	7	,	,	PUNCT
fcis-16179	53	8	where	where	SCONJ
fcis-16179	53	9	r	r	NOUN
fcis-16179	53	10	is	be	AUX
fcis-16179	53	11	the	the	DET
fcis-16179	53	12	equatorial	equatorial	ADJ
fcis-16179	53	13	radius	radius	NOUN
fcis-16179	53	14	,	,	PUNCT
fcis-16179	53	15	wa	wa	INTJ
fcis-16179	53	16	,	,	PUNCT
fcis-16179	53	17	wb	wb	PROPN
fcis-16179	53	18	is	be	AUX
fcis-16179	53	19	the	the	DET
fcis-16179	53	20	latitude	latitude	NOUN
fcis-16179	53	21	of	of	ADP
fcis-16179	53	22	the	the	DET
fcis-16179	53	23	two	two	NUM
fcis-16179	53	24	points	point	NOUN
fcis-16179	53	25	,	,	PUNCT
fcis-16179	53	26	ja	ja	PROPN
fcis-16179	53	27	,	,	PUNCT
fcis-16179	53	28	jb	jb	PROPN
fcis-16179	53	29	is	be	AUX
fcis-16179	53	30	the	the	DET
fcis-16179	53	31	longitude	longitude	NOUN
fcis-16179	53	32	of	of	ADP
fcis-16179	53	33	the	the	DET
fcis-16179	53	34	two	two	NUM
fcis-16179	53	35	points	point	NOUN
fcis-16179	53	36	.	.	PUNCT
fcis-16179	54	1	2.3	2.3	NUM
fcis-16179	54	2	.	.	PUNCT
fcis-16179	55	1	convolutional	convolutional	ADJ
fcis-16179	55	2	neural	neural	ADJ
fcis-16179	55	3	networks	network	NOUN
fcis-16179	55	4	since	since	SCONJ
fcis-16179	55	5	most	most	ADJ
fcis-16179	55	6	witnesses	witness	NOUN
fcis-16179	55	7	mistook	mistake	VERB
fcis-16179	55	8	other	other	ADJ
fcis-16179	55	9	wasps	wasp	NOUN
fcis-16179	55	10	for	for	ADP
fcis-16179	55	11	vespa	vespa	PROPN
fcis-16179	55	12	mandarinia	mandarinia	PROPN
fcis-16179	55	13	,	,	PUNCT
fcis-16179	55	14	we	we	PRON
fcis-16179	55	15	will	will	AUX
fcis-16179	55	16	use	use	VERB
fcis-16179	55	17	convolutional	convolutional	ADJ
fcis-16179	55	18	neural	neural	ADJ
fcis-16179	55	19	networks	network	NOUN
fcis-16179	55	20	to	to	PART
fcis-16179	55	21	build	build	VERB
fcis-16179	55	22	an	an	DET
fcis-16179	55	23	image	image	NOUN
fcis-16179	55	24	recognition	recognition	NOUN
fcis-16179	55	25	model	model	NOUN
fcis-16179	55	26	to	to	PART
fcis-16179	55	27	explore	explore	VERB
fcis-16179	55	28	the	the	DET
fcis-16179	55	29	possibility	possibility	NOUN
fcis-16179	55	30	of	of	ADP
fcis-16179	55	31	predicting	predict	VERB
fcis-16179	55	32	misclassification	misclassification	NOUN
fcis-16179	55	33	.	.	PUNCT
fcis-16179	56	1	when	when	SCONJ
fcis-16179	56	2	training	train	VERB
fcis-16179	56	3	the	the	DET
fcis-16179	56	4	image	image	NOUN
fcis-16179	56	5	recognition	recognition	NOUN
fcis-16179	56	6	model	model	NOUN
fcis-16179	56	7	,	,	PUNCT
fcis-16179	56	8	the	the	DET
fcis-16179	56	9	number	number	NOUN
fcis-16179	56	10	of	of	ADP
fcis-16179	56	11	positive	positive	ADJ
fcis-16179	56	12	samples	sample	NOUN
fcis-16179	56	13	of	of	ADP
fcis-16179	56	14	vespa	vespa	NOUN
fcis-16179	56	15	mandarinia	mandarinia	NOUN
fcis-16179	56	16	is	be	AUX
fcis-16179	56	17	small	small	ADJ
fcis-16179	56	18	,	,	PUNCT
fcis-16179	56	19	which	which	PRON
fcis-16179	56	20	leads	lead	VERB
fcis-16179	56	21	to	to	ADP
fcis-16179	56	22	a	a	DET
fcis-16179	56	23	relatively	relatively	ADV
fcis-16179	56	24	low	low	ADJ
fcis-16179	56	25	classification	classification	NOUN
fcis-16179	56	26	recognition	recognition	NOUN
fcis-16179	56	27	accuracy	accuracy	NOUN
fcis-16179	56	28	.	.	PUNCT
fcis-16179	57	1	therefore	therefore	ADV
fcis-16179	57	2	,	,	PUNCT
fcis-16179	57	3	we	we	PRON
fcis-16179	57	4	used	use	VERB
fcis-16179	57	5	rotation	rotation	NOUN
fcis-16179	57	6	,	,	PUNCT
fcis-16179	57	7	enlargement	enlargement	NOUN
fcis-16179	57	8	,	,	PUNCT
fcis-16179	57	9	whitening	whitening	NOUN
fcis-16179	57	10	,	,	PUNCT
fcis-16179	57	11	width	width	ADJ
fcis-16179	57	12	-	-	PUNCT
fcis-16179	57	13	height	height	NOUN
fcis-16179	57	14	displacement	displacement	ADJ
fcis-16179	57	15	transformation	transformation	NOUN
fcis-16179	57	16	,	,	PUNCT
fcis-16179	57	17	deflation	deflation	NOUN
fcis-16179	57	18	,	,	PUNCT
fcis-16179	57	19	affine	affine	NOUN
fcis-16179	57	20	transformation	transformation	NOUN
fcis-16179	57	21	,	,	PUNCT
fcis-16179	57	22	and	and	CCONJ
fcis-16179	57	23	mis	mi	NOUN
fcis-16179	57	24	-	-	PUNCT
fcis-16179	57	25	cut	cut	VERB
fcis-16179	57	26	transformation	transformation	NOUN
fcis-16179	57	27	to	to	PART
fcis-16179	57	28	increase	increase	VERB
fcis-16179	57	29	the	the	DET
fcis-16179	57	30	number	number	NOUN
fcis-16179	57	31	of	of	ADP
fcis-16179	57	32	images	image	NOUN
fcis-16179	57	33	,	,	PUNCT
fcis-16179	57	34	and	and	CCONJ
fcis-16179	57	35	the	the	DET
fcis-16179	57	36	data	data	NOUN
fcis-16179	57	37	enhancement	enhancement	NOUN
fcis-16179	57	38	effect	effect	NOUN
fcis-16179	57	39	is	be	AUX
fcis-16179	57	40	shown	show	VERB
fcis-16179	57	41	in	in	ADP
fcis-16179	57	42	figure	figure	NOUN
fcis-16179	57	43	1	1	NUM
fcis-16179	57	44	.	.	PUNCT
fcis-16179	57	45	figure	figure	NOUN
fcis-16179	57	46	1	1	NUM
fcis-16179	57	47	.	.	NOUN
fcis-16179	57	48	example	example	NOUN
fcis-16179	57	49	of	of	ADP
fcis-16179	57	50	data	datum	NOUN
fcis-16179	57	51	augmentation	augmentation	NOUN
fcis-16179	57	52	effect	effect	NOUN
fcis-16179	57	53	since	since	SCONJ
fcis-16179	57	54	the	the	DET
fcis-16179	57	55	size	size	NOUN
fcis-16179	57	56	of	of	ADP
fcis-16179	57	57	the	the	DET
fcis-16179	57	58	images	image	NOUN
fcis-16179	57	59	of	of	ADP
fcis-16179	57	60	vespa	vespa	PROPN
fcis-16179	57	61	mandarinia	mandarinia	PROPN
fcis-16179	57	62	varies	vary	VERB
fcis-16179	57	63	and	and	CCONJ
fcis-16179	57	64	there	there	PRON
fcis-16179	57	65	is	be	VERB
fcis-16179	57	66	no	no	DET
fcis-16179	57	67	unified	unified	ADJ
fcis-16179	57	68	specification	specification	NOUN
fcis-16179	57	69	,	,	PUNCT
fcis-16179	57	70	it	it	PRON
fcis-16179	57	71	is	be	AUX
fcis-16179	57	72	easy	easy	ADJ
fcis-16179	57	73	to	to	PART
fcis-16179	57	74	have	have	VERB
fcis-16179	57	75	odd	odd	ADJ
fcis-16179	57	76	sample	sample	NOUN
fcis-16179	57	77	data	datum	NOUN
fcis-16179	57	78	in	in	ADP
fcis-16179	57	79	the	the	DET
fcis-16179	57	80	data	data	NOUN
fcis-16179	57	81	samples	sample	NOUN
fcis-16179	57	82	,	,	PUNCT
fcis-16179	57	83	which	which	PRON
fcis-16179	57	84	affects	affect	VERB
fcis-16179	57	85	the	the	DET
fcis-16179	57	86	training	training	NOUN
fcis-16179	57	87	of	of	ADP
fcis-16179	57	88	the	the	DET
fcis-16179	57	89	network	network	NOUN
fcis-16179	57	90	model	model	NOUN
fcis-16179	57	91	and	and	CCONJ
fcis-16179	57	92	may	may	AUX
fcis-16179	57	93	even	even	ADV
fcis-16179	57	94	cause	cause	VERB
fcis-16179	57	95	the	the	DET
fcis-16179	57	96	network	network	NOUN
fcis-16179	57	97	model	model	NOUN
fcis-16179	57	98	to	to	PART
fcis-16179	57	99	fail	fail	VERB
fcis-16179	57	100	to	to	PART
fcis-16179	57	101	converge	converge	VERB
fcis-16179	57	102	,	,	PUNCT
fcis-16179	57	103	while	while	SCONJ
fcis-16179	57	104	the	the	DET
fcis-16179	57	105	convolutional	convolutional	ADJ
fcis-16179	57	106	neural	neural	ADJ
fcis-16179	57	107	network	network	NOUN
fcis-16179	57	108	requires	require	VERB
fcis-16179	57	109	the	the	DET
fcis-16179	57	110	same	same	ADJ
fcis-16179	57	111	size	size	NOUN
fcis-16179	57	112	of	of	ADP
fcis-16179	57	113	the	the	DET
fcis-16179	57	114	input	input	NOUN
fcis-16179	57	115	data	datum	NOUN
fcis-16179	57	116	,	,	PUNCT
fcis-16179	57	117	so	so	CCONJ
fcis-16179	57	118	the	the	DET
fcis-16179	57	119	input	input	NOUN
fcis-16179	57	120	images	image	NOUN
fcis-16179	57	121	need	need	VERB
fcis-16179	57	122	to	to	PART
fcis-16179	57	123	be	be	AUX
fcis-16179	57	124	normalized	normalize	VERB
fcis-16179	57	125	before	before	ADP
fcis-16179	57	126	the	the	DET
fcis-16179	57	127	network	network	NOUN
fcis-16179	57	128	training	training	NOUN
fcis-16179	57	129	.	.	PUNCT
fcis-16179	58	1	we	we	PRON
fcis-16179	58	2	divide	divide	VERB
fcis-16179	58	3	the	the	DET
fcis-16179	58	4	data	datum	NOUN
fcis-16179	58	5	set	set	VERB
fcis-16179	58	6	after	after	ADP
fcis-16179	58	7	data	data	NOUN
fcis-16179	58	8	enhancement	enhancement	NOUN
fcis-16179	58	9	and	and	CCONJ
fcis-16179	58	10	normalization	normalization	NOUN
fcis-16179	58	11	into	into	ADP
fcis-16179	58	12	training	training	NOUN
fcis-16179	58	13	and	and	CCONJ
fcis-16179	58	14	test	test	NOUN
fcis-16179	58	15	sets	set	NOUN
fcis-16179	58	16	by	by	ADP
fcis-16179	58	17	4:1	4:1	NUM
fcis-16179	58	18	.	.	PUNCT
fcis-16179	59	1	the	the	DET
fcis-16179	59	2	number	number	NOUN
fcis-16179	59	3	of	of	ADP
fcis-16179	59	4	samples	sample	NOUN
fcis-16179	59	5	in	in	ADP
fcis-16179	59	6	the	the	DET
fcis-16179	59	7	training	training	NOUN
fcis-16179	59	8	set	set	NOUN
fcis-16179	59	9	is	be	AUX
fcis-16179	59	10	2489	2489	NUM
fcis-16179	59	11	and	and	CCONJ
fcis-16179	59	12	the	the	DET
fcis-16179	59	13	number	number	NOUN
fcis-16179	59	14	of	of	ADP
fcis-16179	59	15	samples	sample	NOUN
fcis-16179	59	16	in	in	ADP
fcis-16179	59	17	the	the	DET
fcis-16179	59	18	validator	validator	NOUN
fcis-16179	59	19	set	set	VERB
fcis-16179	59	20	is	be	AUX
fcis-16179	59	21	622	622	NUM
fcis-16179	60	1	[	[	X
fcis-16179	60	2	5	5	NUM
fcis-16179	60	3	]	]	PUNCT
fcis-16179	60	4	.	.	PUNCT
fcis-16179	61	1	figure	figure	NOUN
fcis-16179	61	2	2	2	NUM
fcis-16179	61	3	.	.	PUNCT
fcis-16179	61	4	neural	neural	ADJ
fcis-16179	61	5	network	network	NOUN
fcis-16179	61	6	structure	structure	NOUN
fcis-16179	61	7	diagram	diagram	NOUN
fcis-16179	61	8	convolutional	convolutional	ADJ
fcis-16179	61	9	neural	neural	ADJ
fcis-16179	61	10	network	network	NOUN
fcis-16179	61	11	(	(	PUNCT
fcis-16179	61	12	cnn	cnn	PROPN
fcis-16179	61	13	)	)	PUNCT
fcis-16179	61	14	is	be	AUX
fcis-16179	61	15	a	a	DET
fcis-16179	61	16	feed	feed	NOUN
fcis-16179	61	17	-	-	PUNCT
fcis-16179	61	18	forward	forward	ADV
fcis-16179	61	19	neural	neural	ADJ
fcis-16179	61	20	network	network	NOUN
fcis-16179	61	21	,	,	PUNCT
fcis-16179	61	22	which	which	PRON
fcis-16179	61	23	has	have	VERB
fcis-16179	61	24	artificial	artificial	ADJ
fcis-16179	61	25	neurons	neuron	NOUN
fcis-16179	61	26	that	that	PRON
fcis-16179	61	27	respond	respond	VERB
fcis-16179	61	28	locally	locally	ADV
fcis-16179	61	29	to	to	ADP
fcis-16179	61	30	the	the	DET
fcis-16179	61	31	surrounding	surround	VERB
fcis-16179	61	32	neurons	neuron	NOUN
fcis-16179	61	33	[	[	X
fcis-16179	61	34	6	6	NUM
fcis-16179	61	35	]	]	PUNCT
fcis-16179	61	36	.	.	PUNCT
fcis-16179	62	1	each	each	DET
fcis-16179	62	2	neuron	neuron	NOUN
fcis-16179	62	3	receives	receive	VERB
fcis-16179	62	4	some	some	DET
fcis-16179	62	5	input	input	NOUN
fcis-16179	62	6	and	and	CCONJ
fcis-16179	62	7	does	do	VERB
fcis-16179	62	8	some	some	DET
fcis-16179	62	9	dot	dot	NOUN
fcis-16179	62	10	product	product	NOUN
fcis-16179	62	11	computation	computation	NOUN
fcis-16179	62	12	.	.	PUNCT
fcis-16179	63	1	it	it	PRON
fcis-16179	63	2	usually	usually	ADV
fcis-16179	63	3	contains	contain	VERB
fcis-16179	63	4	a	a	DET
fcis-16179	63	5	convolutional	convolutional	ADJ
fcis-16179	63	6	layer	layer	NOUN
fcis-16179	63	7	,	,	PUNCT
fcis-16179	63	8	an	an	DET
fcis-16179	63	9	activation	activation	NOUN
fcis-16179	63	10	layer	layer	NOUN
fcis-16179	63	11	,	,	PUNCT
fcis-16179	63	12	a	a	DET
fcis-16179	63	13	pooling	pool	VERB
fcis-16179	63	14	layer	layer	NOUN
fcis-16179	63	15	,	,	PUNCT
fcis-16179	63	16	and	and	CCONJ
fcis-16179	63	17	a	a	DET
fcis-16179	63	18	fully	fully	ADV
fcis-16179	63	19	connected	connect	VERB
fcis-16179	63	20	layer	layer	NOUN
fcis-16179	63	21	.	.	PUNCT
fcis-16179	64	1	our	our	PRON
fcis-16179	64	2	model	model	NOUN
fcis-16179	64	3	is	be	AUX
fcis-16179	64	4	shown	show	VERB
fcis-16179	64	5	in	in	ADP
fcis-16179	64	6	figure	figure	NOUN
fcis-16179	64	7	2	2	NUM
fcis-16179	64	8	,	,	PUNCT
fcis-16179	64	9	which	which	PRON
fcis-16179	64	10	can	can	AUX
fcis-16179	64	11	be	be	AUX
fcis-16179	64	12	divided	divide	VERB
fcis-16179	64	13	into	into	ADP
fcis-16179	64	14	convolutional	convolutional	ADJ
fcis-16179	64	15	layer	layer	NOUN
fcis-16179	64	16	,	,	PUNCT
fcis-16179	64	17	pooling	pool	VERB
fcis-16179	64	18	layer	layer	NOUN
fcis-16179	64	19	and	and	CCONJ
fcis-16179	64	20	dense	dense	ADJ
fcis-16179	64	21	layer	layer	NOUN
fcis-16179	65	1	[	[	X
fcis-16179	65	2	7	7	NUM
fcis-16179	65	3	]	]	PUNCT
fcis-16179	65	4	.	.	PUNCT
fcis-16179	66	1	the	the	DET
fcis-16179	66	2	convolution	convolution	NOUN
fcis-16179	66	3	formula	formula	NOUN
fcis-16179	66	4	[	[	X
fcis-16179	66	5	8	8	NUM
fcis-16179	66	6	]	]	SYM
fcis-16179	66	7	:	:	PUNCT
fcis-16179	66	8	(	(	PUNCT
fcis-16179	66	9	)	)	PUNCT
fcis-16179	66	10	(	(	PUNCT
fcis-16179	66	11	)	)	PUNCT
fcis-16179	66	12	(	(	PUNCT
fcis-16179	66	13	)	)	PUNCT
fcis-16179	66	14	(	(	PUNCT
fcis-16179	66	15	)	)	PUNCT
fcis-16179	66	16	f	f	PROPN
fcis-16179	66	17	g	g	PROPN
fcis-16179	66	18	n	n	PROPN
fcis-16179	66	19	f	f	PROPN
fcis-16179	66	20	g	g	PROPN
fcis-16179	66	21	n	n	CCONJ
fcis-16179	66	22	d	d	PROPN
fcis-16179	66	23			NOUN
fcis-16179	66	24			VERB
fcis-16179	66	25			ADV
fcis-16179	66	26			VERB
fcis-16179	66	27			ADP
fcis-16179	66	28			NUM
fcis-16179	66	29			NOUN
fcis-16179	66	30	(	(	PUNCT
fcis-16179	66	31	5	5	NUM
fcis-16179	66	32	)	)	PUNCT
fcis-16179	66	33	the	the	DET
fcis-16179	66	34	convolutional	convolutional	ADJ
fcis-16179	66	35	layer	layer	NOUN
fcis-16179	66	36	makes	make	VERB
fcis-16179	66	37	full	full	ADJ
fcis-16179	66	38	use	use	NOUN
fcis-16179	66	39	of	of	ADP
fcis-16179	66	40	the	the	DET
fcis-16179	66	41	idea	idea	NOUN
fcis-16179	66	42	of	of	ADP
fcis-16179	66	43	weight	weight	NOUN
fcis-16179	66	44	sharing	sharing	NOUN
fcis-16179	66	45	and	and	CCONJ
fcis-16179	66	46	local	local	ADJ
fcis-16179	66	47	correlation	correlation	NOUN
fcis-16179	66	48	to	to	PART
fcis-16179	66	49	reduce	reduce	VERB
fcis-16179	66	50	the	the	DET
fcis-16179	66	51	number	number	NOUN
fcis-16179	66	52	of	of	ADP
fcis-16179	66	53	parameters	parameter	NOUN
fcis-16179	66	54	to	to	PART
fcis-16179	66	55	be	be	AUX
fcis-16179	66	56	trained	train	VERB
fcis-16179	66	57	in	in	ADP
fcis-16179	66	58	the	the	DET
fcis-16179	66	59	neural	neural	ADJ
fcis-16179	66	60	network	network	NOUN
fcis-16179	66	61	,	,	PUNCT
fcis-16179	66	62	and	and	CCONJ
fcis-16179	66	63	the	the	DET
fcis-16179	66	64	expression	expression	NOUN
fcis-16179	66	65	of	of	ADP
fcis-16179	66	66	the	the	DET
fcis-16179	66	67	input	input	NOUN
fcis-16179	66	68	-	-	PUNCT
fcis-16179	66	69	output	output	NOUN
fcis-16179	66	70	relationship	relationship	NOUN
fcis-16179	66	71	of	of	ADP
fcis-16179	66	72	the	the	DET
fcis-16179	66	73	convolutional	convolutional	ADJ
fcis-16179	66	74	network	network	NOUN
fcis-16179	66	75	[	[	X
fcis-16179	66	76	9	9	NUM
fcis-16179	66	77	]	]	SYM
fcis-16179	66	78	:	:	PUNCT
fcis-16179	66	79	2	2	NUM
fcis-16179	66	80	(	(	PUNCT
fcis-16179	66	81	,	,	PUNCT
fcis-16179	66	82	)	)	PUNCT
fcis-16179	66	83	2	2	NUM
fcis-16179	66	84	(	(	PUNCT
fcis-16179	66	85	)	)	PUNCT
fcis-16179	66	86	j	j	PROPN
fcis-16179	67	1	ij	ij	INTJ
fcis-16179	68	1	i	i	INTJ
fcis-16179	68	2	j	j	PROPN
fcis-16179	69	1	k	k	PROPN
fcis-16179	69	2	dist	dist	PROPN
fcis-16179	70	1	i	i	PRON
fcis-16179	70	2	j	j	NOUN
fcis-16179	71	1	o	o	X
fcis-16179	71	2	w	w	PROPN
fcis-16179	71	3	x	x	PROPN
fcis-16179	71	4	b	b	PROPN
fcis-16179	71	5			PROPN
fcis-16179	71	6			PROPN
fcis-16179	71	7			NOUN
fcis-16179	71	8	(	(	PUNCT
fcis-16179	71	9	6	6	NUM
fcis-16179	71	10	)	)	PUNCT
fcis-16179	71	11	among	among	ADP
fcis-16179	71	12	them	they	PRON
fcis-16179	71	13	,	,	PUNCT
fcis-16179	71	14	(	(	PUNCT
fcis-16179	71	15	,	,	PUNCT
fcis-16179	71	16	)	)	PUNCT
fcis-16179	71	17	dist	dist	NOUN
fcis-16179	72	1	i	i	PRON
fcis-16179	72	2	j	j	PROPN
fcis-16179	72	3	represents	represent	VERB
fcis-16179	72	4	the	the	DET
fcis-16179	72	5	distance	distance	NOUN
fcis-16179	72	6	between	between	ADP
fcis-16179	72	7	16	16	NUM
fcis-16179	72	8	i	i	NOUN
fcis-16179	72	9	,	,	PUNCT
fcis-16179	72	10	j	j	PROPN
fcis-16179	72	11	.	.	PUNCT
fcis-16179	73	1	k	k	PROPN
fcis-16179	73	2	represents	represent	VERB
fcis-16179	73	3	the	the	DET
fcis-16179	73	4	height	height	NOUN
fcis-16179	73	5	and	and	CCONJ
fcis-16179	73	6	width	width	NOUN
fcis-16179	73	7	of	of	ADP
fcis-16179	73	8	the	the	DET
fcis-16179	73	9	convolutional	convolutional	ADJ
fcis-16179	73	10	receptive	receptive	ADJ
fcis-16179	73	11	field	field	NOUN
fcis-16179	73	12	(	(	PUNCT
fcis-16179	73	13	the	the	DET
fcis-16179	73	14	height	height	NOUN
fcis-16179	73	15	and	and	CCONJ
fcis-16179	73	16	width	width	NOUN
fcis-16179	73	17	of	of	ADP
fcis-16179	73	18	this	this	DET
fcis-16179	73	19	model	model	NOUN
fcis-16179	73	20	are	be	AUX
fcis-16179	73	21	equal	equal	ADJ
fcis-16179	73	22	)	)	PUNCT
fcis-16179	73	23	.	.	PUNCT
fcis-16179	74	1	ijw	ijw	PROPN
fcis-16179	74	2	is	be	AUX
fcis-16179	74	3	the	the	DET
fcis-16179	74	4	weight	weight	NOUN
fcis-16179	74	5	and	and	CCONJ
fcis-16179	74	6	jb	jb	PROPN
fcis-16179	74	7	is	be	AUX
fcis-16179	74	8	the	the	DET
fcis-16179	74	9	bias	bias	NOUN
fcis-16179	74	10	.	.	PUNCT
fcis-16179	75	1	ix	ix	PROPN
fcis-16179	75	2	is	be	AUX
fcis-16179	75	3	the	the	DET
fcis-16179	75	4	pixel	pixel	PROPN
fcis-16179	75	5	value	value	NOUN
fcis-16179	75	6	of	of	ADP
fcis-16179	75	7	the	the	DET
fcis-16179	75	8	corresponding	corresponding	ADJ
fcis-16179	75	9	channel	channel	NOUN
fcis-16179	75	10	.	.	PUNCT
fcis-16179	76	1	in	in	ADP
fcis-16179	76	2	the	the	DET
fcis-16179	76	3	model	model	NOUN
fcis-16179	76	4	,	,	PUNCT
fcis-16179	76	5	three	three	NUM
fcis-16179	76	6	convolutional	convolutional	ADJ
fcis-16179	76	7	layers	layer	NOUN
fcis-16179	76	8	are	be	AUX
fcis-16179	76	9	used	use	VERB
fcis-16179	76	10	,	,	PUNCT
fcis-16179	76	11	the	the	DET
fcis-16179	76	12	perceptual	perceptual	ADJ
fcis-16179	76	13	field	field	NOUN
fcis-16179	76	14	(	(	PUNCT
fcis-16179	76	15	proper	proper	ADJ
fcis-16179	76	16	noun	noun	NOUN
fcis-16179	76	17	)	)	PUNCT
fcis-16179	76	18	window	window	NOUN
fcis-16179	76	19	size	size	NOUN
fcis-16179	76	20	is	be	AUX
fcis-16179	76	21	unchanged	unchanged	ADJ
fcis-16179	76	22	(	(	PUNCT
fcis-16179	76	23	3	3	NUM
fcis-16179	76	24	*	*	NUM
fcis-16179	76	25	3	3	NUM
fcis-16179	76	26	)	)	PUNCT
fcis-16179	76	27	,	,	PUNCT
fcis-16179	76	28	the	the	DET
fcis-16179	76	29	convolutional	convolutional	ADJ
fcis-16179	76	30	kernel	kernel	NOUN
fcis-16179	76	31	is	be	AUX
fcis-16179	76	32	increased	increase	VERB
fcis-16179	76	33	exponentially	exponentially	ADV
fcis-16179	76	34	to	to	PART
fcis-16179	76	35	deepen	deepen	VERB
fcis-16179	76	36	the	the	DET
fcis-16179	76	37	extraction	extraction	NOUN
fcis-16179	76	38	of	of	ADP
fcis-16179	76	39	picture	picture	NOUN
fcis-16179	76	40	features	feature	NOUN
fcis-16179	76	41	by	by	ADP
fcis-16179	76	42	the	the	DET
fcis-16179	76	43	network	network	NOUN
fcis-16179	76	44	,	,	PUNCT
fcis-16179	76	45	and	and	CCONJ
fcis-16179	76	46	the	the	DET
fcis-16179	76	47	relu	relu	NOUN
fcis-16179	76	48	function	function	NOUN
fcis-16179	76	49	is	be	AUX
fcis-16179	76	50	used	use	VERB
fcis-16179	76	51	for	for	ADP
fcis-16179	76	52	the	the	DET
fcis-16179	76	53	activation	activation	NOUN
fcis-16179	76	54	function	function	NOUN
fcis-16179	76	55	.	.	PUNCT
fcis-16179	77	1	make	make	VERB
fcis-16179	77	2	the	the	DET
fcis-16179	77	3	model	model	NOUN
fcis-16179	77	4	increase	increase	VERB
fcis-16179	77	5	the	the	DET
fcis-16179	77	6	network	network	NOUN
fcis-16179	77	7	training	training	NOUN
fcis-16179	77	8	efficiency	efficiency	NOUN
fcis-16179	77	9	and	and	CCONJ
fcis-16179	77	10	model	model	NOUN
fcis-16179	77	11	nonlinearity	nonlinearity	NOUN
fcis-16179	77	12	,	,	PUNCT
fcis-16179	77	13	prevent	prevent	VERB
fcis-16179	77	14	the	the	DET
fcis-16179	77	15	gradient	gradient	ADJ
fcis-16179	77	16	disappearance	disappearance	NOUN
fcis-16179	77	17	phenomenon	phenomenon	NOUN
fcis-16179	77	18	in	in	ADP
fcis-16179	77	19	training	training	NOUN
fcis-16179	77	20	.	.	PUNCT
fcis-16179	78	1	the	the	DET
fcis-16179	78	2	maximum	maximum	ADJ
fcis-16179	78	3	pooling	pool	VERB
fcis-16179	78	4	layer	layer	NOUN
fcis-16179	78	5	exists	exist	VERB
fcis-16179	78	6	after	after	ADP
fcis-16179	78	7	each	each	DET
fcis-16179	78	8	convolution	convolution	NOUN
fcis-16179	78	9	layer	layer	NOUN
fcis-16179	78	10	,	,	PUNCT
fcis-16179	78	11	which	which	PRON
fcis-16179	78	12	reduces	reduce	VERB
fcis-16179	78	13	the	the	DET
fcis-16179	78	14	feature	feature	NOUN
fcis-16179	78	15	parameters	parameter	NOUN
fcis-16179	78	16	exponentially	exponentially	ADV
fcis-16179	78	17	and	and	CCONJ
fcis-16179	78	18	highlights	highlight	VERB
fcis-16179	78	19	the	the	DET
fcis-16179	78	20	important	important	ADJ
fcis-16179	78	21	feature	feature	NOUN
fcis-16179	78	22	parameters	parameter	NOUN
fcis-16179	78	23	,	,	PUNCT
fcis-16179	78	24	and	and	CCONJ
fcis-16179	78	25	the	the	DET
fcis-16179	78	26	model	model	NOUN
fcis-16179	78	27	is	be	AUX
fcis-16179	78	28	more	more	ADV
fcis-16179	78	29	efficient	efficient	ADJ
fcis-16179	78	30	and	and	CCONJ
fcis-16179	78	31	accurate	accurate	ADJ
fcis-16179	78	32	.	.	PUNCT
fcis-16179	79	1	the	the	DET
fcis-16179	79	2	dropout	dropout	NOUN
fcis-16179	79	3	layer	layer	NOUN
fcis-16179	79	4	is	be	AUX
fcis-16179	79	5	introduced	introduce	VERB
fcis-16179	79	6	to	to	PART
fcis-16179	79	7	improve	improve	VERB
fcis-16179	79	8	the	the	DET
fcis-16179	79	9	generalization	generalization	NOUN
fcis-16179	79	10	ability	ability	NOUN
fcis-16179	79	11	of	of	ADP
fcis-16179	79	12	the	the	DET
fcis-16179	79	13	model	model	NOUN
fcis-16179	79	14	and	and	CCONJ
fcis-16179	79	15	prevent	prevent	VERB
fcis-16179	79	16	the	the	DET
fcis-16179	79	17	phenomenon	phenomenon	NOUN
fcis-16179	79	18	of	of	ADP
fcis-16179	79	19	overfitting	overfitte	VERB
fcis-16179	79	20	.	.	PUNCT
fcis-16179	80	1	the	the	DET
fcis-16179	80	2	dense	dense	ADJ
fcis-16179	80	3	layer	layer	NOUN
fcis-16179	80	4	implements	implement	VERB
fcis-16179	80	5	the	the	DET
fcis-16179	80	6	image	image	NOUN
fcis-16179	80	7	classification	classification	NOUN
fcis-16179	80	8	task	task	NOUN
fcis-16179	80	9	and	and	CCONJ
fcis-16179	80	10	the	the	DET
fcis-16179	80	11	activation	activation	NOUN
fcis-16179	80	12	function	function	NOUN
fcis-16179	80	13	uses	use	VERB
fcis-16179	80	14	the	the	DET
fcis-16179	80	15	softmax	softmax	NOUN
fcis-16179	80	16	function	function	NOUN
fcis-16179	80	17	,	,	PUNCT
fcis-16179	80	18	and	and	CCONJ
fcis-16179	80	19	the	the	DET
fcis-16179	80	20	results	result	NOUN
fcis-16179	80	21	are	be	AUX
fcis-16179	80	22	more	more	ADV
fcis-16179	80	23	easily	easily	ADV
fcis-16179	80	24	understood	understand	VERB
fcis-16179	80	25	.	.	PUNCT
fcis-16179	81	1	the	the	DET
fcis-16179	81	2	optimizer	optimizer	NOUN
fcis-16179	81	3	of	of	ADP
fcis-16179	81	4	the	the	DET
fcis-16179	81	5	model	model	NOUN
fcis-16179	81	6	is	be	AUX
fcis-16179	81	7	'	'	PUNCT
fcis-16179	81	8	adam'[10	adam'[10	NUM
fcis-16179	81	9	]	]	PUNCT
fcis-16179	81	10	,	,	PUNCT
fcis-16179	81	11	which	which	PRON
fcis-16179	81	12	is	be	AUX
fcis-16179	81	13	computationally	computationally	ADV
fcis-16179	81	14	efficient	efficient	ADJ
fcis-16179	81	15	,	,	PUNCT
fcis-16179	81	16	requires	require	VERB
fcis-16179	81	17	less	less	ADJ
fcis-16179	81	18	running	running	NOUN
fcis-16179	81	19	memory	memory	NOUN
fcis-16179	81	20	,	,	PUNCT
fcis-16179	81	21	and	and	CCONJ
fcis-16179	81	22	is	be	AUX
fcis-16179	81	23	suitable	suitable	ADJ
fcis-16179	81	24	for	for	ADP
fcis-16179	81	25	solving	solve	VERB
fcis-16179	81	26	problems	problem	NOUN
fcis-16179	81	27	containing	contain	VERB
fcis-16179	81	28	very	very	ADV
fcis-16179	81	29	high	high	ADJ
fcis-16179	81	30	noise	noise	NOUN
fcis-16179	81	31	or	or	CCONJ
fcis-16179	81	32	sparse	sparse	ADJ
fcis-16179	81	33	gradients	gradient	NOUN
fcis-16179	81	34	.	.	PUNCT
fcis-16179	82	1	the	the	DET
fcis-16179	82	2	lossy	lossy	ADJ
fcis-16179	82	3	han	han	PROPN
fcis-16179	82	4	formula	formula	NOUN
fcis-16179	82	5	of	of	ADP
fcis-16179	82	6	the	the	DET
fcis-16179	82	7	model	model	NOUN
fcis-16179	82	8	is	be	AUX
fcis-16179	82	9	a	a	DET
fcis-16179	82	10	cross	cross	ADJ
fcis-16179	82	11	-	-	ADJ
fcis-16179	82	12	entropy	entropy	ADJ
fcis-16179	82	13	cost	cost	NOUN
fcis-16179	82	14	function	function	NOUN
fcis-16179	82	15	,	,	PUNCT
fcis-16179	82	16	which	which	PRON
fcis-16179	82	17	makes	make	VERB
fcis-16179	82	18	up	up	ADP
fcis-16179	82	19	for	for	ADP
fcis-16179	82	20	the	the	DET
fcis-16179	82	21	tendency	tendency	NOUN
fcis-16179	82	22	of	of	ADP
fcis-16179	82	23	saturation	saturation	NOUN
fcis-16179	82	24	of	of	ADP
fcis-16179	82	25	the	the	DET
fcis-16179	82	26	derivative	derivative	ADJ
fcis-16179	82	27	form	form	NOUN
fcis-16179	82	28	of	of	ADP
fcis-16179	82	29	the	the	DET
fcis-16179	82	30	sigmoid	sigmoid	NOUN
fcis-16179	82	31	function	function	NOUN
fcis-16179	82	32	,	,	PUNCT
fcis-16179	82	33	while	while	SCONJ
fcis-16179	82	34	avoiding	avoid	VERB
fcis-16179	82	35	gradient	gradient	ADJ
fcis-16179	82	36	dispersion	dispersion	NOUN
fcis-16179	82	37	.	.	PUNCT
fcis-16179	83	1	the	the	DET
fcis-16179	83	2	metric	metric	NOUN
fcis-16179	83	3	of	of	ADP
fcis-16179	83	4	the	the	DET
fcis-16179	83	5	model	model	NOUN
fcis-16179	83	6	is	be	AUX
fcis-16179	83	7	accurate	accurate	ADJ
fcis-16179	83	8	,	,	PUNCT
fcis-16179	83	9	which	which	PRON
fcis-16179	83	10	is	be	AUX
fcis-16179	83	11	simple	simple	ADJ
fcis-16179	83	12	and	and	CCONJ
fcis-16179	83	13	easy	easy	ADJ
fcis-16179	83	14	to	to	PART
fcis-16179	83	15	understand	understand	VERB
fcis-16179	83	16	.	.	PUNCT
fcis-16179	84	1	3	3	X
fcis-16179	84	2	.	.	NOUN
fcis-16179	84	3	results	result	NOUN
fcis-16179	84	4	&	&	CCONJ
fcis-16179	84	5	discussion	discussion	NOUN
fcis-16179	84	6	3.1	3.1	NUM
fcis-16179	84	7	.	.	PUNCT
fcis-16179	85	1	distribution	distribution	NOUN
fcis-16179	85	2	prediction	prediction	NOUN
fcis-16179	85	3	of	of	ADP
fcis-16179	85	4	vespa	vespa	PROPN
fcis-16179	85	5	mandarinia	mandarinia	PROPN
fcis-16179	85	6	queen	queen	PROPN
fcis-16179	85	7	using	use	VERB
fcis-16179	85	8	the	the	DET
fcis-16179	85	9	location	location	NOUN
fcis-16179	85	10	of	of	ADP
fcis-16179	85	11	vespa	vespa	PROPN
fcis-16179	85	12	mandarinia	mandarinia	PROPN
fcis-16179	85	13	in	in	ADP
fcis-16179	85	14	washington	washington	PROPN
fcis-16179	85	15	state	state	NOUN
fcis-16179	85	16	with	with	ADP
fcis-16179	85	17	positive	positive	ADJ
fcis-16179	85	18	i	i	PROPN
fcis-16179	85	19	d	d	PROPN
fcis-16179	85	20	sightings	sighting	NOUN
fcis-16179	85	21	in	in	ADP
fcis-16179	85	22	2019	2019	NUM
fcis-16179	85	23	as	as	ADP
fcis-16179	85	24	the	the	DET
fcis-16179	85	25	reference	reference	NOUN
fcis-16179	85	26	point	point	NOUN
fcis-16179	85	27	,	,	PUNCT
fcis-16179	85	28	the	the	DET
fcis-16179	85	29	locations	location	NOUN
fcis-16179	85	30	where	where	SCONJ
fcis-16179	85	31	the	the	DET
fcis-16179	85	32	asian	asian	ADJ
fcis-16179	85	33	giant	giant	ADJ
fcis-16179	85	34	hornet	hornet	PROPN
fcis-16179	85	35	queen	queen	PROPN
fcis-16179	85	36	survived	survive	VERB
fcis-16179	85	37	were	be	AUX
fcis-16179	85	38	simulated	simulate	VERB
fcis-16179	85	39	using	use	VERB
fcis-16179	85	40	a	a	DET
fcis-16179	85	41	poisson	poisson	NOUN
fcis-16179	85	42	stochastic	stochastic	NOUN
fcis-16179	85	43	process	process	NOUN
fcis-16179	85	44	approach	approach	NOUN
fcis-16179	85	45	,	,	PUNCT
fcis-16179	85	46	we	we	PRON
fcis-16179	85	47	found	find	VERB
fcis-16179	85	48	that	that	SCONJ
fcis-16179	85	49	the	the	DET
fcis-16179	85	50	vespa	vespa	PROPN
fcis-16179	85	51	mandarinia	mandarinia	PROPN
fcis-16179	85	52	queen	queen	PROPN
fcis-16179	85	53	's	's	PART
fcis-16179	85	54	dispersal	dispersal	NOUN
fcis-16179	85	55	paths	path	NOUN
fcis-16179	85	56	were	be	AUX
fcis-16179	85	57	concentrated	concentrate	VERB
fcis-16179	85	58	in	in	ADP
fcis-16179	85	59	vancouver	vancouver	PROPN
fcis-16179	85	60	,	,	PUNCT
fcis-16179	85	61	abbotsford	abbotsford	PROPN
fcis-16179	85	62	,	,	PUNCT
fcis-16179	85	63	and	and	CCONJ
fcis-16179	85	64	bellingham	bellingham	PROPN
fcis-16179	85	65	.	.	PUNCT
fcis-16179	86	1	comparing	compare	VERB
fcis-16179	86	2	the	the	DET
fcis-16179	86	3	predicted	predict	VERB
fcis-16179	86	4	distribution	distribution	NOUN
fcis-16179	86	5	of	of	ADP
fcis-16179	86	6	queens	queen	NOUN
fcis-16179	86	7	from	from	ADP
fcis-16179	86	8	the	the	DET
fcis-16179	86	9	first	first	ADJ
fcis-16179	86	10	to	to	ADP
fcis-16179	86	11	the	the	DET
fcis-16179	86	12	fourth	fourth	ADJ
fcis-16179	86	13	year	year	NOUN
fcis-16179	86	14	,	,	PUNCT
fcis-16179	86	15	we	we	PRON
fcis-16179	86	16	found	find	VERB
fcis-16179	86	17	that	that	SCONJ
fcis-16179	86	18	the	the	DET
fcis-16179	86	19	majority	majority	NOUN
fcis-16179	86	20	of	of	ADP
fcis-16179	86	21	queens	queen	NOUN
fcis-16179	86	22	from	from	ADP
fcis-16179	86	23	the	the	DET
fcis-16179	86	24	first	first	ADJ
fcis-16179	86	25	to	to	ADP
fcis-16179	86	26	the	the	DET
fcis-16179	86	27	second	second	ADJ
fcis-16179	86	28	year	year	NOUN
fcis-16179	86	29	were	be	AUX
fcis-16179	86	30	distributed	distribute	VERB
fcis-16179	86	31	in	in	ADP
fcis-16179	86	32	bellingham	bellingham	PROPN
fcis-16179	86	33	,	,	PUNCT
fcis-16179	86	34	washington	washington	PROPN
fcis-16179	86	35	,	,	PUNCT
fcis-16179	86	36	usa	usa	PROPN
fcis-16179	86	37	,	,	PUNCT
fcis-16179	86	38	in	in	ADP
fcis-16179	86	39	the	the	DET
fcis-16179	86	40	northern	northern	ADJ
fcis-16179	86	41	part	part	NOUN
fcis-16179	86	42	of	of	ADP
fcis-16179	86	43	the	the	DET
fcis-16179	86	44	state	state	NOUN
fcis-16179	86	45	,	,	PUNCT
fcis-16179	86	46	near	near	ADP
fcis-16179	86	47	the	the	DET
fcis-16179	86	48	border	border	NOUN
fcis-16179	86	49	between	between	ADP
fcis-16179	86	50	the	the	DET
fcis-16179	86	51	united	united	PROPN
fcis-16179	86	52	states	states	PROPN
fcis-16179	86	53	and	and	CCONJ
fcis-16179	86	54	canada	canada	PROPN
fcis-16179	86	55	,	,	PUNCT
fcis-16179	86	56	where	where	SCONJ
fcis-16179	86	57	the	the	DET
fcis-16179	86	58	climatic	climatic	ADJ
fcis-16179	86	59	conditions	condition	NOUN
fcis-16179	86	60	are	be	AUX
fcis-16179	86	61	very	very	ADV
fcis-16179	86	62	suitable	suitable	ADJ
fcis-16179	86	63	for	for	ADP
fcis-16179	86	64	the	the	DET
fcis-16179	86	65	reproduction	reproduction	NOUN
fcis-16179	86	66	of	of	ADP
fcis-16179	86	67	vespa	vespa	PROPN
fcis-16179	86	68	mandarinia	mandarinia	PROPN
fcis-16179	86	69	,	,	PUNCT
fcis-16179	86	70	which	which	PRON
fcis-16179	86	71	can	can	AUX
fcis-16179	86	72	be	be	AUX
fcis-16179	86	73	verified	verify	VERB
fcis-16179	86	74	in	in	ADP
fcis-16179	86	75	terms	term	NOUN
fcis-16179	86	76	of	of	ADP
fcis-16179	86	77	temperature	temperature	NOUN
fcis-16179	86	78	,	,	PUNCT
fcis-16179	86	79	precipitation	precipitation	NOUN
fcis-16179	86	80	and	and	CCONJ
fcis-16179	86	81	topography	topography	NOUN
fcis-16179	86	82	.	.	PUNCT
fcis-16179	87	1	while	while	SCONJ
fcis-16179	87	2	the	the	DET
fcis-16179	87	3	third	third	ADJ
fcis-16179	87	4	to	to	PART
fcis-16179	87	5	fourth	fourth	ADJ
fcis-16179	87	6	year	year	NOUN
fcis-16179	87	7	asian	asian	ADJ
fcis-16179	87	8	giant	giant	ADJ
fcis-16179	87	9	hornet	hornet	NOUN
fcis-16179	87	10	queens	queen	NOUN
fcis-16179	87	11	are	be	AUX
fcis-16179	87	12	mainly	mainly	ADV
fcis-16179	87	13	concentrated	concentrate	VERB
fcis-16179	87	14	in	in	ADP
fcis-16179	87	15	vancouver	vancouver	PROPN
fcis-16179	87	16	,	,	PUNCT
fcis-16179	87	17	canada	canada	PROPN
fcis-16179	87	18	,	,	PUNCT
fcis-16179	87	19	with	with	ADP
fcis-16179	87	20	climatic	climatic	ADJ
fcis-16179	87	21	conditions	condition	NOUN
fcis-16179	87	22	similar	similar	ADJ
fcis-16179	87	23	to	to	ADP
fcis-16179	87	24	bellingham	bellingham	PROPN
fcis-16179	87	25	,	,	PUNCT
fcis-16179	87	26	unlike	unlike	ADP
fcis-16179	87	27	bellingham	bellingham	PROPN
fcis-16179	87	28	,	,	PUNCT
fcis-16179	87	29	the	the	DET
fcis-16179	87	30	area	area	NOUN
fcis-16179	87	31	within	within	ADP
fcis-16179	87	32	3	3	NUM
fcis-16179	87	33	km	km	NOUN
fcis-16179	87	34	of	of	ADP
fcis-16179	87	35	vancouver	vancouver	NOUN
fcis-16179	87	36	is	be	AUX
fcis-16179	87	37	covered	cover	VERB
fcis-16179	87	38	by	by	ADP
fcis-16179	87	39	man	man	NOUN
fcis-16179	87	40	-	-	PUNCT
fcis-16179	87	41	made	make	VERB
fcis-16179	87	42	surfaces	surface	NOUN
fcis-16179	87	43	(	(	PUNCT
fcis-16179	87	44	100	100	NUM
fcis-16179	87	45	%	%	NOUN
fcis-16179	87	46	)	)	PUNCT
fcis-16179	87	47	,	,	PUNCT
fcis-16179	87	48	the	the	DET
fcis-16179	87	49	area	area	NOUN
fcis-16179	87	50	within	within	ADP
fcis-16179	87	51	16	16	NUM
fcis-16179	87	52	km	km	NOUN
fcis-16179	87	53	is	be	AUX
fcis-16179	87	54	covered	cover	VERB
fcis-16179	87	55	by	by	ADP
fcis-16179	87	56	man	man	NOUN
fcis-16179	87	57	-	-	PUNCT
fcis-16179	87	58	made	make	VERB
fcis-16179	87	59	surfaces	surface	NOUN
fcis-16179	87	60	(	(	PUNCT
fcis-16179	87	61	39	39	NUM
fcis-16179	87	62	%	%	NOUN
fcis-16179	87	63	)	)	PUNCT
fcis-16179	87	64	and	and	CCONJ
fcis-16179	87	65	water	water	NOUN
fcis-16179	87	66	(	(	PUNCT
fcis-16179	87	67	32	32	NUM
fcis-16179	87	68	%	%	NOUN
fcis-16179	87	69	)	)	PUNCT
fcis-16179	87	70	,	,	PUNCT
fcis-16179	87	71	and	and	CCONJ
fcis-16179	87	72	the	the	DET
fcis-16179	87	73	80	80	NUM
fcis-16179	87	74	km	km	NOUN
fcis-16179	87	75	the	the	DET
fcis-16179	87	76	area	area	NOUN
fcis-16179	87	77	within	within	ADP
fcis-16179	87	78	80	80	NUM
fcis-16179	87	79	km	km	NOUN
fcis-16179	87	80	is	be	AUX
fcis-16179	87	81	covered	cover	VERB
fcis-16179	87	82	by	by	ADP
fcis-16179	87	83	trees	tree	NOUN
fcis-16179	87	84	(	(	PUNCT
fcis-16179	87	85	44	44	NUM
fcis-16179	87	86	%	%	NOUN
fcis-16179	87	87	)	)	PUNCT
fcis-16179	87	88	and	and	CCONJ
fcis-16179	87	89	water	water	NOUN
fcis-16179	87	90	(	(	PUNCT
fcis-16179	87	91	32	32	NUM
fcis-16179	87	92	%	%	NOUN
fcis-16179	87	93	)	)	PUNCT
fcis-16179	87	94	;	;	PUNCT
fcis-16179	87	95	trees	tree	NOUN
fcis-16179	87	96	are	be	AUX
fcis-16179	87	97	mainly	mainly	ADV
fcis-16179	87	98	located	locate	VERB
fcis-16179	87	99	on	on	ADP
fcis-16179	87	100	its	its	PRON
fcis-16179	87	101	fringes	fringe	NOUN
fcis-16179	87	102	,	,	PUNCT
fcis-16179	87	103	and	and	CCONJ
fcis-16179	87	104	the	the	DET
fcis-16179	87	105	fringes	fringe	NOUN
fcis-16179	87	106	of	of	ADP
fcis-16179	87	107	vancouver	vancouver	NOUN
fcis-16179	87	108	are	be	AUX
fcis-16179	87	109	more	more	ADV
fcis-16179	87	110	suitable	suitable	ADJ
fcis-16179	87	111	as	as	ADP
fcis-16179	87	112	a	a	DET
fcis-16179	87	113	habitat	habitat	NOUN
fcis-16179	87	114	for	for	ADP
fcis-16179	87	115	vespa	vespa	PROPN
fcis-16179	87	116	mandarinia	mandarinia	PROPN
fcis-16179	87	117	.	.	PUNCT
fcis-16179	88	1	3.2	3.2	NUM
fcis-16179	88	2	.	.	PUNCT
fcis-16179	89	1	convolutional	convolutional	ADJ
fcis-16179	89	2	neural	neural	ADJ
fcis-16179	89	3	network	network	NOUN
fcis-16179	89	4	evaluation	evaluation	NOUN
fcis-16179	89	5	the	the	DET
fcis-16179	89	6	model	model	NOUN
fcis-16179	89	7	has	have	VERB
fcis-16179	89	8	overfitting	overfitte	VERB
fcis-16179	89	9	deficiency	deficiency	NOUN
fcis-16179	89	10	now	now	ADV
fcis-16179	89	11	,	,	PUNCT
fcis-16179	89	12	after	after	ADP
fcis-16179	89	13	adjusting	adjust	VERB
fcis-16179	89	14	the	the	DET
fcis-16179	89	15	parameters	parameter	NOUN
fcis-16179	89	16	several	several	ADJ
fcis-16179	89	17	times	time	NOUN
fcis-16179	89	18	,	,	PUNCT
fcis-16179	89	19	it	it	PRON
fcis-16179	89	20	is	be	AUX
fcis-16179	89	21	found	find	VERB
fcis-16179	89	22	that	that	SCONJ
fcis-16179	89	23	the	the	DET
fcis-16179	89	24	questions	question	NOUN
fcis-16179	89	25	that	that	PRON
fcis-16179	89	26	the	the	DET
fcis-16179	89	27	positive	positive	ADJ
fcis-16179	89	28	sample	sample	NOUN
fcis-16179	89	29	size	size	NOUN
fcis-16179	89	30	is	be	AUX
fcis-16179	89	31	much	much	ADV
fcis-16179	89	32	smaller	small	ADJ
fcis-16179	89	33	than	than	ADP
fcis-16179	89	34	the	the	DET
fcis-16179	89	35	negative	negative	ADJ
fcis-16179	89	36	sample	sample	NOUN
fcis-16179	89	37	,	,	PUNCT
fcis-16179	89	38	and	and	CCONJ
fcis-16179	89	39	the	the	DET
fcis-16179	89	40	positive	positive	ADJ
fcis-16179	89	41	sample	sample	NOUN
fcis-16179	89	42	needs	need	VERB
fcis-16179	89	43	to	to	PART
fcis-16179	89	44	be	be	AUX
fcis-16179	89	45	collected	collect	VERB
fcis-16179	89	46	continuously	continuously	ADV
fcis-16179	89	47	at	at	ADP
fcis-16179	89	48	a	a	DET
fcis-16179	89	49	later	later	ADJ
fcis-16179	89	50	stage	stage	NOUN
fcis-16179	89	51	to	to	PART
fcis-16179	89	52	improve	improve	VERB
fcis-16179	89	53	the	the	DET
fcis-16179	89	54	cnn	cnn	PROPN
fcis-16179	89	55	neural	neural	ADJ
fcis-16179	89	56	network	network	NOUN
fcis-16179	89	57	recognition	recognition	NOUN
fcis-16179	89	58	ability	ability	NOUN
fcis-16179	89	59	.	.	PUNCT
fcis-16179	90	1	figure	figure	NOUN
fcis-16179	90	2	3	3	NUM
fcis-16179	90	3	.	.	PUNCT
fcis-16179	91	1	convolutional	convolutional	ADJ
fcis-16179	91	2	neural	neural	ADJ
fcis-16179	91	3	network	network	NOUN
fcis-16179	91	4	model	model	NOUN
fcis-16179	91	5	image	image	NOUN
fcis-16179	91	6	recognition	recognition	NOUN
fcis-16179	91	7	accuracy	accuracy	NOUN
fcis-16179	91	8	vs.	vs.	ADP
fcis-16179	91	9	loss	loss	NOUN
fcis-16179	91	10	function	function	NOUN
fcis-16179	91	11	graph	graph	NOUN
fcis-16179	91	12	we	we	PRON
fcis-16179	91	13	have	have	AUX
fcis-16179	91	14	concluded	conclude	VERB
fcis-16179	91	15	that	that	SCONJ
fcis-16179	91	16	as	as	ADP
fcis-16179	91	17	the	the	DET
fcis-16179	91	18	number	number	NOUN
fcis-16179	91	19	of	of	ADP
fcis-16179	91	20	model	model	NOUN
fcis-16179	91	21	training	training	NOUN
fcis-16179	91	22	increases	increase	NOUN
fcis-16179	91	23	,	,	PUNCT
fcis-16179	91	24	the	the	DET
fcis-16179	91	25	accuracy	accuracy	NOUN
fcis-16179	91	26	rate	rate	NOUN
fcis-16179	91	27	keeps	keep	VERB
fcis-16179	91	28	improving	improve	VERB
fcis-16179	91	29	and	and	CCONJ
fcis-16179	91	30	the	the	DET
fcis-16179	91	31	value	value	NOUN
fcis-16179	91	32	of	of	ADP
fcis-16179	91	33	the	the	DET
fcis-16179	91	34	loss	loss	NOUN
fcis-16179	91	35	function	function	NOUN
fcis-16179	91	36	keeps	keep	VERB
fcis-16179	91	37	decreasing	decrease	VERB
fcis-16179	91	38	.	.	PUNCT
fcis-16179	92	1	3.3	3.3	NUM
fcis-16179	92	2	.	.	PUNCT
fcis-16179	92	3	effects	effect	NOUN
fcis-16179	92	4	of	of	ADP
fcis-16179	92	5	human	human	ADJ
fcis-16179	92	6	control	control	NOUN
fcis-16179	92	7	on	on	ADP
fcis-16179	92	8	the	the	DET
fcis-16179	92	9	population	population	NOUN
fcis-16179	92	10	spread	spread	NOUN
fcis-16179	92	11	of	of	ADP
fcis-16179	92	12	vespa	vespa	PROPN
fcis-16179	92	13	mandarinia	mandarinia	NOUN
fcis-16179	92	14	on	on	ADP
fcis-16179	92	15	the	the	DET
fcis-16179	92	16	basis	basis	NOUN
fcis-16179	92	17	of	of	ADP
fcis-16179	92	18	the	the	DET
fcis-16179	92	19	first	first	ADJ
fcis-16179	92	20	question	question	NOUN
fcis-16179	92	21	,	,	PUNCT
fcis-16179	92	22	we	we	PRON
fcis-16179	92	23	counted	count	VERB
fcis-16179	92	24	the	the	DET
fcis-16179	92	25	number	number	NOUN
fcis-16179	92	26	curve	curve	NOUN
fcis-16179	92	27	of	of	ADP
fcis-16179	92	28	vespa	vespa	PROPN
fcis-16179	92	29	mandarinia	mandarinia	PROPN
fcis-16179	92	30	's	's	PART
fcis-16179	92	31	natural	natural	ADJ
fcis-16179	92	32	growth	growth	NOUN
fcis-16179	92	33	each	each	DET
fcis-16179	92	34	year	year	NOUN
fcis-16179	92	35	without	without	ADP
fcis-16179	92	36	the	the	DET
fcis-16179	92	37	influence	influence	NOUN
fcis-16179	92	38	of	of	ADP
fcis-16179	92	39	external	external	ADJ
fcis-16179	92	40	conditions	condition	NOUN
fcis-16179	92	41	.	.	PUNCT
fcis-16179	93	1	as	as	SCONJ
fcis-16179	93	2	shown	show	VERB
fcis-16179	93	3	in	in	ADP
fcis-16179	93	4	figure	figure	NOUN
fcis-16179	93	5	4	4	NUM
fcis-16179	93	6	,	,	PUNCT
fcis-16179	93	7	we	we	PRON
fcis-16179	93	8	calculate	calculate	VERB
fcis-16179	93	9	the	the	DET
fcis-16179	93	10	growth	growth	NOUN
fcis-16179	93	11	of	of	ADP
fcis-16179	93	12	each	each	DET
fcis-16179	93	13	curve	curve	NOUN
fcis-16179	93	14	,	,	PUNCT
fcis-16179	93	15	and	and	CCONJ
fcis-16179	93	16	judge	judge	VERB
fcis-16179	93	17	the	the	DET
fcis-16179	93	18	maximum	maximum	ADJ
fcis-16179	93	19	number	number	NOUN
fcis-16179	93	20	of	of	ADP
fcis-16179	93	21	vespa	vespa	NOUN
fcis-16179	93	22	mandarinias	mandarinia	NOUN
fcis-16179	93	23	to	to	PART
fcis-16179	93	24	take	take	VERB
fcis-16179	93	25	measures	measure	NOUN
fcis-16179	93	26	to	to	PART
fcis-16179	93	27	limit	limit	VERB
fcis-16179	93	28	it	it	PRON
fcis-16179	93	29	.	.	PUNCT
fcis-16179	94	1	when	when	SCONJ
fcis-16179	94	2	the	the	DET
fcis-16179	94	3	number	number	NOUN
fcis-16179	94	4	of	of	ADP
fcis-16179	94	5	vespa	vespa	PROPN
fcis-16179	94	6	mandarinias	mandarinia	NOUN
fcis-16179	94	7	is	be	AUX
fcis-16179	94	8	small	small	ADJ
fcis-16179	94	9	,	,	PUNCT
fcis-16179	94	10	it	it	PRON
fcis-16179	94	11	is	be	AUX
fcis-16179	94	12	allowed	allow	VERB
fcis-16179	94	13	to	to	PART
fcis-16179	94	14	grow	grow	VERB
fcis-16179	94	15	naturally	naturally	ADV
fcis-16179	94	16	.	.	PUNCT
fcis-16179	95	1	from	from	ADP
fcis-16179	95	2	this	this	PRON
fcis-16179	95	3	,	,	PUNCT
fcis-16179	95	4	we	we	PRON
fcis-16179	95	5	can	can	AUX
fcis-16179	95	6	conclude	conclude	VERB
fcis-16179	95	7	that	that	SCONJ
fcis-16179	95	8	the	the	DET
fcis-16179	95	9	period	period	NOUN
fcis-16179	95	10	to	to	PART
fcis-16179	95	11	limit	limit	VERB
fcis-16179	95	12	the	the	DET
fcis-16179	95	13	number	number	NOUN
fcis-16179	95	14	of	of	ADP
fcis-16179	95	15	vespa	vespa	PROPN
fcis-16179	95	16	mandarinias	mandarinia	NOUN
fcis-16179	95	17	is	be	AUX
fcis-16179	95	18	2	2	NUM
fcis-16179	95	19	-	-	SYM
fcis-16179	95	20	3	3	NUM
fcis-16179	95	21	years	year	NOUN
fcis-16179	95	22	.	.	PUNCT
fcis-16179	96	1	figure	figure	VERB
fcis-16179	96	2	4	4	NUM
fcis-16179	96	3	.	.	PUNCT
fcis-16179	96	4	number	number	NOUN
fcis-16179	96	5	curve	curve	NOUN
fcis-16179	96	6	of	of	ADP
fcis-16179	96	7	natural	natural	ADJ
fcis-16179	96	8	growth	growth	NOUN
fcis-16179	96	9	of	of	ADP
fcis-16179	96	10	vespa	vespa	PROPN
fcis-16179	96	11	mandarinias	mandarinias	PROPN
fcis-16179	96	12	artificial	artificial	ADJ
fcis-16179	96	13	control	control	NOUN
fcis-16179	96	14	plays	play	VERB
fcis-16179	96	15	a	a	DET
fcis-16179	96	16	very	very	ADV
fcis-16179	96	17	important	important	ADJ
fcis-16179	96	18	role	role	NOUN
fcis-16179	96	19	in	in	ADP
fcis-16179	96	20	the	the	DET
fcis-16179	96	21	existence	existence	NOUN
fcis-16179	96	22	of	of	ADP
fcis-16179	96	23	asian	asian	ADJ
fcis-16179	96	24	giant	giant	ADJ
fcis-16179	96	25	hornet	hornet	PROPN
fcis-16179	96	26	queen	queen	PROPN
fcis-16179	96	27	population	population	NOUN
fcis-16179	96	28	.	.	PUNCT
fcis-16179	97	1	therefore	therefore	ADV
fcis-16179	97	2	,	,	PUNCT
fcis-16179	97	3	based	base	VERB
fcis-16179	97	4	on	on	ADP
fcis-16179	97	5	the	the	DET
fcis-16179	97	6	number	number	NOUN
fcis-16179	97	7	of	of	ADP
fcis-16179	97	8	vespa	vespa	PROPN
fcis-16179	97	9	s	s	PART
fcis-16179	97	10	without	without	ADP
fcis-16179	97	11	artificial	artificial	ADJ
fcis-16179	97	12	control	control	NOUN
fcis-16179	97	13	for	for	ADP
fcis-16179	97	14	three	three	NUM
fcis-16179	97	15	years	year	NOUN
fcis-16179	97	16	,	,	PUNCT
fcis-16179	97	17	we	we	PRON
fcis-16179	97	18	tested	test	VERB
fcis-16179	97	19	under	under	ADP
fcis-16179	97	20	artificial	artificial	ADJ
fcis-16179	97	21	control	control	NOUN
fcis-16179	97	22	conditions	condition	NOUN
fcis-16179	97	23	of	of	ADP
fcis-16179	97	24	0	0	NUM
fcis-16179	97	25	%	%	NOUN
fcis-16179	97	26	,	,	PUNCT
fcis-16179	97	27	40	40	NUM
fcis-16179	97	28	%	%	NOUN
fcis-16179	97	29	and	and	CCONJ
fcis-16179	97	30	60	60	NUM
fcis-16179	97	31	%	%	NOUN
fcis-16179	97	32	respectively	respectively	ADV
fcis-16179	97	33	,	,	PUNCT
fcis-16179	97	34	and	and	CCONJ
fcis-16179	97	35	the	the	DET
fcis-16179	97	36	results	result	NOUN
fcis-16179	97	37	are	be	AUX
fcis-16179	97	38	shown	show	VERB
fcis-16179	97	39	in	in	ADP
fcis-16179	97	40	the	the	DET
fcis-16179	97	41	figure	figure	NOUN
fcis-16179	97	42	5	5	NUM
fcis-16179	97	43	.	.	PUNCT
fcis-16179	98	1	from	from	ADP
fcis-16179	98	2	figure	figure	NOUN
fcis-16179	98	3	5	5	NUM
fcis-16179	98	4	,	,	PUNCT
fcis-16179	98	5	it	it	PRON
fcis-16179	98	6	can	can	AUX
fcis-16179	98	7	be	be	AUX
fcis-16179	98	8	seen	see	VERB
fcis-16179	98	9	that	that	SCONJ
fcis-16179	98	10	under	under	ADP
fcis-16179	98	11	60	60	NUM
fcis-16179	98	12	%	%	NOUN
fcis-16179	98	13	artificial	artificial	ADJ
fcis-16179	98	14	control	control	NOUN
fcis-16179	98	15	,	,	PUNCT
fcis-16179	98	16	number	number	NOUN
fcis-16179	98	17	of	of	ADP
fcis-16179	98	18	asian	asian	ADJ
fcis-16179	98	19	giant	giant	ADJ
fcis-16179	98	20	hornet	hornet	NOUN
fcis-16179	98	21	queens	queen	NOUN
fcis-16179	98	22	has	have	VERB
fcis-16179	98	23	the	the	DET
fcis-16179	98	24	most	most	ADV
fcis-16179	98	25	significant	significant	ADJ
fcis-16179	98	26	control	control	NOUN
fcis-16179	98	27	effect	effect	NOUN
fcis-16179	98	28	,	,	PUNCT
fcis-16179	98	29	and	and	CCONJ
fcis-16179	98	30	the	the	DET
fcis-16179	98	31	number	number	NOUN
fcis-16179	98	32	of	of	ADP
fcis-16179	98	33	asian	asian	ADJ
fcis-16179	98	34	giant	giant	ADJ
fcis-16179	98	35	hornet	hornet	NOUN
fcis-16179	98	36	queens	queen	NOUN
fcis-16179	98	37	can	can	AUX
fcis-16179	98	38	be	be	AUX
fcis-16179	98	39	controlled	control	VERB
fcis-16179	98	40	within	within	ADP
fcis-16179	98	41	the	the	DET
fcis-16179	98	42	range	range	NOUN
fcis-16179	98	43	of	of	ADP
fcis-16179	98	44	40	40	NUM
fcis-16179	98	45	-	-	SYM
fcis-16179	98	46	50	50	NUM
fcis-16179	98	47	.	.	PUNCT
fcis-16179	99	1	in	in	ADP
fcis-16179	99	2	the	the	DET
fcis-16179	99	3	absence	absence	NOUN
fcis-16179	99	4	of	of	ADP
fcis-16179	99	5	artificial	artificial	ADJ
fcis-16179	99	6	control	control	NOUN
fcis-16179	99	7	,	,	PUNCT
fcis-16179	99	8	the	the	DET
fcis-16179	99	9	number	number	NOUN
fcis-16179	99	10	of	of	ADP
fcis-16179	99	11	asian	asian	ADJ
fcis-16179	99	12	giant	giant	ADJ
fcis-16179	99	13	hornet	hornet	NOUN
fcis-16179	99	14	queens	queen	NOUN
fcis-16179	99	15	was	be	AUX
fcis-16179	99	16	approximately	approximately	ADV
fcis-16179	99	17	exponential	exponential	ADJ
fcis-16179	99	18	.	.	PUNCT
fcis-16179	100	1	vespa	vespa	PROPN
fcis-16179	100	2	mandarinia	mandarinia	PROPN
fcis-16179	100	3	queen	queen	PROPN
fcis-16179	100	4	's	's	PART
fcis-16179	100	5	population	population	NOUN
fcis-16179	100	6	grew	grow	VERB
fcis-16179	100	7	moderately	moderately	ADV
fcis-16179	100	8	at	at	ADP
fcis-16179	100	9	a	a	DET
fcis-16179	100	10	40	40	NUM
fcis-16179	100	11	%	%	NOUN
fcis-16179	100	12	artificial	artificial	ADJ
fcis-16179	100	13	control	control	NOUN
fcis-16179	100	14	level	level	NOUN
fcis-16179	100	15	.	.	PUNCT
fcis-16179	101	1	17	17	NUM
fcis-16179	101	2	figure	figure	NOUN
fcis-16179	101	3	5	5	NUM
fcis-16179	101	4	.	.	PUNCT
fcis-16179	102	1	distribution	distribution	NOUN
fcis-16179	102	2	of	of	ADP
fcis-16179	102	3	vespa	vespa	PROPN
fcis-16179	102	4	mandarinia	mandarinia	PROPN
fcis-16179	102	5	queen	queen	PROPN
fcis-16179	102	6	bee	bee	PROPN
fcis-16179	102	7	population	population	NOUN
fcis-16179	102	8	under	under	ADP
fcis-16179	102	9	different	different	ADJ
fcis-16179	102	10	levels	level	NOUN
fcis-16179	102	11	of	of	ADP
fcis-16179	102	12	human	human	ADJ
fcis-16179	102	13	control	control	NOUN
fcis-16179	102	14	4	4	NUM
fcis-16179	102	15	.	.	PUNCT
fcis-16179	102	16	conclusion	conclusion	NOUN
fcis-16179	102	17	we	we	PRON
fcis-16179	102	18	first	first	ADV
fcis-16179	102	19	built	build	VERB
fcis-16179	102	20	the	the	DET
fcis-16179	102	21	"	"	PUNCT
fcis-16179	102	22	asian	asian	ADJ
fcis-16179	102	23	giant	giant	ADJ
fcis-16179	102	24	hornet	hornet	PROPN
fcis-16179	102	25	queen	queen	PROPN
fcis-16179	102	26	prediction	prediction	NOUN
fcis-16179	102	27	model	model	NOUN
fcis-16179	102	28	"	"	PUNCT
fcis-16179	102	29	to	to	PART
fcis-16179	102	30	predict	predict	VERB
fcis-16179	102	31	the	the	DET
fcis-16179	102	32	spread	spread	ADJ
fcis-16179	102	33	path	path	NOUN
fcis-16179	102	34	and	and	CCONJ
fcis-16179	102	35	number	number	NOUN
fcis-16179	102	36	of	of	ADP
fcis-16179	102	37	asian	asian	ADJ
fcis-16179	102	38	giant	giant	ADJ
fcis-16179	102	39	hornet	hornet	NOUN
fcis-16179	102	40	queens	queen	NOUN
fcis-16179	102	41	,	,	PUNCT
fcis-16179	102	42	and	and	CCONJ
fcis-16179	102	43	found	find	VERB
fcis-16179	102	44	that	that	SCONJ
fcis-16179	102	45	the	the	DET
fcis-16179	102	46	queens	queen	NOUN
fcis-16179	102	47	were	be	AUX
fcis-16179	102	48	mainly	mainly	ADV
fcis-16179	102	49	concentrated	concentrate	VERB
fcis-16179	102	50	in	in	ADP
fcis-16179	102	51	bellingham	bellingham	PROPN
fcis-16179	102	52	,	,	PUNCT
fcis-16179	102	53	washington	washington	PROPN
fcis-16179	102	54	and	and	CCONJ
fcis-16179	102	55	bellingham	bellingham	PROPN
fcis-16179	102	56	,	,	PUNCT
fcis-16179	102	57	canada	canada	PROPN
fcis-16179	102	58	;	;	PUNCT
fcis-16179	102	59	then	then	ADV
fcis-16179	102	60	,	,	PUNCT
fcis-16179	102	61	we	we	PRON
fcis-16179	102	62	built	build	VERB
fcis-16179	102	63	a	a	DET
fcis-16179	102	64	convolutional	convolutional	ADJ
fcis-16179	102	65	neural	neural	ADJ
fcis-16179	102	66	network	network	NOUN
fcis-16179	102	67	.	.	PUNCT
fcis-16179	103	1	after	after	ADP
fcis-16179	103	2	that	that	PRON
fcis-16179	103	3	,	,	PUNCT
fcis-16179	103	4	we	we	PRON
fcis-16179	103	5	built	build	VERB
fcis-16179	103	6	a	a	DET
fcis-16179	103	7	convolutional	convolutional	ADJ
fcis-16179	103	8	neural	neural	ADJ
fcis-16179	103	9	network	network	NOUN
fcis-16179	103	10	image	image	NOUN
fcis-16179	103	11	recognition	recognition	NOUN
fcis-16179	103	12	model	model	NOUN
fcis-16179	103	13	to	to	PART
fcis-16179	103	14	identify	identify	VERB
fcis-16179	103	15	images	image	NOUN
fcis-16179	103	16	suspected	suspect	VERB
fcis-16179	103	17	of	of	ADP
fcis-16179	103	18	vespa	vespa	PROPN
fcis-16179	103	19	mandarinia	mandarinia	PROPN
fcis-16179	103	20	.	.	PUNCT
fcis-16179	104	1	the	the	DET
fcis-16179	104	2	accuracy	accuracy	NOUN
fcis-16179	104	3	of	of	ADP
fcis-16179	104	4	image	image	NOUN
fcis-16179	104	5	recognition	recognition	NOUN
fcis-16179	104	6	was	be	AUX
fcis-16179	104	7	as	as	ADV
fcis-16179	104	8	high	high	ADJ
fcis-16179	104	9	as	as	ADP
fcis-16179	104	10	96.13	96.13	NUM
fcis-16179	104	11	%	%	NOUN
fcis-16179	104	12	with	with	ADP
fcis-16179	104	13	the	the	DET
fcis-16179	104	14	increase	increase	NOUN
fcis-16179	104	15	of	of	ADP
fcis-16179	104	16	model	model	NOUN
fcis-16179	104	17	training	training	NOUN
fcis-16179	104	18	;	;	PUNCT
fcis-16179	104	19	next	next	ADV
fcis-16179	104	20	,	,	PUNCT
fcis-16179	104	21	we	we	PRON
fcis-16179	104	22	analyzed	analyze	VERB
fcis-16179	104	23	the	the	DET
fcis-16179	104	24	confidence	confidence	NOUN
fcis-16179	104	25	level	level	NOUN
fcis-16179	104	26	of	of	ADP
fcis-16179	104	27	unprocess	unprocess	NOUN
fcis-16179	104	28	and	and	CCONJ
fcis-16179	104	29	unverify	unverify	VERB
fcis-16179	104	30	labels	label	NOUN
fcis-16179	104	31	as	as	ADP
fcis-16179	104	32	positive	positive	ADJ
fcis-16179	104	33	labels	label	NOUN
fcis-16179	104	34	.	.	PUNCT
fcis-16179	105	1	the	the	DET
fcis-16179	105	2	results	result	NOUN
fcis-16179	105	3	showed	show	VERB
fcis-16179	105	4	that	that	SCONJ
fcis-16179	105	5	the	the	DET
fcis-16179	105	6	confidence	confidence	NOUN
fcis-16179	105	7	level	level	NOUN
fcis-16179	105	8	of	of	ADP
fcis-16179	105	9	489	489	NUM
fcis-16179	105	10	samples	sample	NOUN
fcis-16179	105	11	were	be	AUX
fcis-16179	105	12	mainly	mainly	ADV
fcis-16179	105	13	concentrated	concentrate	VERB
fcis-16179	105	14	in	in	ADP
fcis-16179	105	15	the	the	DET
fcis-16179	105	16	range	range	NOUN
fcis-16179	105	17	of	of	ADP
fcis-16179	105	18	0.5	0.5	NUM
fcis-16179	105	19	-	-	SYM
fcis-16179	105	20	0.9	0.9	NUM
fcis-16179	105	21	,	,	PUNCT
fcis-16179	105	22	with	with	ADP
fcis-16179	105	23	a	a	DET
fcis-16179	105	24	higher	high	ADJ
fcis-16179	105	25	confidence	confidence	NOUN
fcis-16179	105	26	level	level	NOUN
fcis-16179	105	27	.	.	PUNCT
fcis-16179	106	1	following	follow	VERB
fcis-16179	106	2	that	that	PRON
fcis-16179	106	3	,	,	PUNCT
fcis-16179	106	4	we	we	PRON
fcis-16179	106	5	added	add	VERB
fcis-16179	106	6	the	the	DET
fcis-16179	106	7	factor	factor	NOUN
fcis-16179	106	8	,	,	PUNCT
fcis-16179	106	9	human	human	ADJ
fcis-16179	106	10	control	control	NOUN
fcis-16179	106	11	,	,	PUNCT
fcis-16179	106	12	to	to	ADP
fcis-16179	106	13	the	the	DET
fcis-16179	106	14	first	first	ADJ
fcis-16179	106	15	model	model	NOUN
fcis-16179	106	16	.	.	PUNCT
fcis-16179	107	1	the	the	DET
fcis-16179	107	2	control	control	NOUN
fcis-16179	107	3	effect	effect	NOUN
fcis-16179	107	4	on	on	ADP
fcis-16179	107	5	the	the	DET
fcis-16179	107	6	number	number	NOUN
fcis-16179	107	7	of	of	ADP
fcis-16179	107	8	asian	asian	ADJ
fcis-16179	107	9	giant	giant	ADJ
fcis-16179	107	10	hornet	hornet	NOUN
fcis-16179	107	11	queens	queen	NOUN
fcis-16179	107	12	was	be	AUX
fcis-16179	107	13	most	most	ADV
fcis-16179	107	14	significant	significant	ADJ
fcis-16179	107	15	at	at	ADP
fcis-16179	107	16	60	60	NUM
fcis-16179	107	17	%	%	NOUN
fcis-16179	107	18	human	human	ADJ
fcis-16179	107	19	control	control	NOUN
fcis-16179	107	20	.	.	PUNCT
fcis-16179	108	1	finally	finally	ADV
fcis-16179	108	2	,	,	PUNCT
fcis-16179	108	3	we	we	PRON
fcis-16179	108	4	found	find	VERB
fcis-16179	108	5	that	that	SCONJ
fcis-16179	108	6	if	if	SCONJ
fcis-16179	108	7	vespa	vespa	PROPN
fcis-16179	108	8	mandarinia	mandarinia	PROPN
fcis-16179	108	9	is	be	AUX
fcis-16179	108	10	controlled	control	VERB
fcis-16179	108	11	anthropogenically	anthropogenically	ADV
fcis-16179	108	12	or	or	CCONJ
fcis-16179	108	13	ecologically	ecologically	ADV
fcis-16179	108	14	,	,	PUNCT
fcis-16179	108	15	its	its	PRON
fcis-16179	108	16	population	population	NOUN
fcis-16179	108	17	will	will	AUX
fcis-16179	108	18	be	be	AUX
fcis-16179	108	19	reduced	reduce	VERB
fcis-16179	108	20	to	to	ADP
fcis-16179	108	21	0	0	NUM
fcis-16179	108	22	.	.	PUNCT
fcis-16179	109	1	references	reference	NOUN
fcis-16179	109	2	[	[	X
fcis-16179	109	3	1	1	NUM
fcis-16179	109	4	]	]	PUNCT
fcis-16179	109	5	m.	m.	NOUN
fcis-16179	109	6	j.	j.	PROPN
fcis-16179	109	7	fisher	fisher	PROPN
fcis-16179	109	8	and	and	CCONJ
fcis-16179	109	9	a.	a.	PROPN
fcis-16179	109	10	p.	p.	PROPN
fcis-16179	109	11	marshall	marshall	PROPN
fcis-16179	109	12	,	,	PUNCT
fcis-16179	109	13	“	"	PUNCT
fcis-16179	109	14	understanding	understand	VERB
fcis-16179	109	15	descriptive	descriptive	ADJ
fcis-16179	109	16	statistics	statistic	NOUN
fcis-16179	109	17	,	,	PUNCT
fcis-16179	109	18	”	"	PUNCT
fcis-16179	109	19	australian	australian	ADJ
fcis-16179	109	20	critical	critical	ADJ
fcis-16179	109	21	care	care	NOUN
fcis-16179	109	22	,	,	PUNCT
fcis-16179	109	23	vol	vol	NOUN
fcis-16179	109	24	.	.	PROPN
fcis-16179	110	1	22	22	NUM
fcis-16179	110	2	,	,	PUNCT
fcis-16179	110	3	no	no	INTJ
fcis-16179	110	4	.	.	NOUN
fcis-16179	110	5	2	2	NUM
fcis-16179	110	6	,	,	PUNCT
fcis-16179	110	7	pp	pp	ADJ
fcis-16179	110	8	.	.	PUNCT
fcis-16179	111	1	93–97	93–97	NUM
fcis-16179	111	2	,	,	PUNCT
fcis-16179	111	3	may	may	PROPN
fcis-16179	111	4	2009	2009	NUM
fcis-16179	111	5	,	,	PUNCT
fcis-16179	111	6	doi	doi	NOUN
fcis-16179	111	7	:	:	PUNCT
fcis-16179	111	8	10.1016	10.1016	NUM
fcis-16179	111	9	/	/	SYM
fcis-16179	111	10	j.aucc.2008.11.003	j.aucc.2008.11.003	NOUN
fcis-16179	111	11	.	.	PUNCT
fcis-16179	112	1	[	[	X
fcis-16179	112	2	2	2	NUM
fcis-16179	112	3	]	]	PUNCT
fcis-16179	112	4	x.	x.	PROPN
fcis-16179	112	5	chu	chu	PROPN
fcis-16179	112	6	,	,	PUNCT
fcis-16179	112	7	i.	i.	PROPN
fcis-16179	112	8	f.	f.	PROPN
fcis-16179	112	9	ilyas	ilyas	PROPN
fcis-16179	112	10	,	,	PUNCT
fcis-16179	112	11	s.	s.	PROPN
fcis-16179	112	12	krishnan	krishnan	PROPN
fcis-16179	112	13	,	,	PUNCT
fcis-16179	112	14	and	and	CCONJ
fcis-16179	112	15	j.	j.	PROPN
fcis-16179	112	16	wang	wang	PROPN
fcis-16179	112	17	,	,	PUNCT
fcis-16179	112	18	“	"	PUNCT
fcis-16179	112	19	data	datum	NOUN
fcis-16179	112	20	cleaning	cleaning	NOUN
fcis-16179	112	21	:	:	PUNCT
fcis-16179	112	22	overview	overview	NOUN
fcis-16179	112	23	and	and	CCONJ
fcis-16179	112	24	emerging	emerge	VERB
fcis-16179	112	25	challenges	challenge	NOUN
fcis-16179	112	26	,	,	PUNCT
fcis-16179	112	27	”	"	PUNCT
fcis-16179	112	28	in	in	ADP
fcis-16179	112	29	proceedings	proceeding	NOUN
fcis-16179	112	30	of	of	ADP
fcis-16179	112	31	the	the	DET
fcis-16179	112	32	2016	2016	NUM
fcis-16179	112	33	international	international	ADJ
fcis-16179	112	34	conference	conference	NOUN
fcis-16179	112	35	on	on	ADP
fcis-16179	112	36	management	management	NOUN
fcis-16179	112	37	of	of	ADP
fcis-16179	112	38	data	data	PROPN
fcis-16179	112	39	,	,	PUNCT
fcis-16179	112	40	san	san	PROPN
fcis-16179	112	41	francisco	francisco	PROPN
fcis-16179	112	42	california	california	PROPN
fcis-16179	112	43	usa	usa	PROPN
fcis-16179	112	44	:	:	PUNCT
fcis-16179	112	45	acm	acm	PROPN
fcis-16179	112	46	,	,	PUNCT
fcis-16179	112	47	jun	jun	PROPN
fcis-16179	112	48	.	.	PROPN
fcis-16179	112	49	2016	2016	NUM
fcis-16179	112	50	,	,	PUNCT
fcis-16179	112	51	pp	pp	ADJ
fcis-16179	112	52	.	.	PUNCT
fcis-16179	112	53	2201–2206	2201–2206	NUM
fcis-16179	112	54	.	.	PUNCT
fcis-16179	113	1	doi	doi	NOUN
fcis-16179	113	2	:	:	PUNCT
fcis-16179	113	3	10.1145/2882903.2912574	10.1145/2882903.2912574	NUM
fcis-16179	113	4	.	.	PUNCT
fcis-16179	114	1	[	[	X
fcis-16179	114	2	3	3	X
fcis-16179	114	3	]	]	PUNCT
fcis-16179	114	4	h.	h.	PROPN
fcis-16179	114	5	s.	s.	PROPN
fcis-16179	114	6	bakouch	bakouch	PROPN
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fcis-16179	114	8	m.	m.	NOUN
fcis-16179	114	9	kachour	kachour	PROPN
fcis-16179	114	10	,	,	PUNCT
fcis-16179	114	11	and	and	CCONJ
fcis-16179	114	12	s.	s.	PROPN
fcis-16179	114	13	nadarajah	nadarajah	PROPN
fcis-16179	114	14	,	,	PUNCT
fcis-16179	114	15	“	"	PUNCT
fcis-16179	114	16	an	an	DET
fcis-16179	114	17	extended	extended	ADJ
fcis-16179	114	18	poisson	poisson	NOUN
fcis-16179	114	19	distribution	distribution	NOUN
fcis-16179	114	20	,	,	PUNCT
fcis-16179	114	21	”	"	PUNCT
fcis-16179	114	22	communications	communication	NOUN
fcis-16179	114	23	in	in	ADP
fcis-16179	114	24	statistics	statistic	NOUN
fcis-16179	114	25	theory	theory	NOUN
fcis-16179	114	26	and	and	CCONJ
fcis-16179	114	27	methods	method	NOUN
fcis-16179	114	28	,	,	PUNCT
fcis-16179	114	29	vol	vol	NOUN
fcis-16179	114	30	.	.	PROPN
fcis-16179	115	1	45	45	NUM
fcis-16179	115	2	,	,	PUNCT
fcis-16179	115	3	no	no	INTJ
fcis-16179	115	4	.	.	NOUN
fcis-16179	115	5	22	22	NUM
fcis-16179	115	6	,	,	PUNCT
fcis-16179	115	7	pp	pp	ADJ
fcis-16179	115	8	.	.	PUNCT
fcis-16179	116	1	6746–6764	6746–6764	NUM
fcis-16179	116	2	,	,	PUNCT
fcis-16179	116	3	nov	nov	PROPN
fcis-16179	116	4	.	.	PROPN
fcis-16179	116	5	2016	2016	NUM
fcis-16179	116	6	,	,	PUNCT
fcis-16179	116	7	doi	doi	NOUN
fcis-16179	116	8	:	:	PUNCT
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fcis-16179	116	10	.	.	PUNCT
fcis-16179	117	1	[	[	X
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fcis-16179	117	3	]	]	X
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fcis-16179	117	6	,	,	PUNCT
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fcis-16179	117	8	number	number	NOUN
fcis-16179	117	9	generators	generator	NOUN
fcis-16179	117	10	—	—	PUNCT
fcis-16179	117	11	principles	principle	NOUN
fcis-16179	117	12	and	and	CCONJ
fcis-16179	117	13	practices	practice	NOUN
fcis-16179	117	14	:	:	PUNCT
fcis-16179	117	15	a	a	DET
fcis-16179	117	16	guide	guide	NOUN
fcis-16179	117	17	for	for	ADP
fcis-16179	117	18	engineers	engineer	NOUN
fcis-16179	117	19	and	and	CCONJ
fcis-16179	117	20	programmers	programmer	NOUN
fcis-16179	117	21	.	.	PUNCT
fcis-16179	118	1	de	de	X
fcis-16179	118	2	gruyter	gruyter	NOUN
fcis-16179	118	3	,	,	PUNCT
fcis-16179	118	4	2018	2018	NUM
fcis-16179	118	5	.	.	PUNCT
fcis-16179	119	1	doi	doi	NOUN
fcis-16179	119	2	:	:	PUNCT
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fcis-16179	119	4	.	.	PUNCT
fcis-16179	120	1	[	[	X
fcis-16179	120	2	5	5	X
fcis-16179	120	3	]	]	PUNCT
fcis-16179	120	4	l.	l.	PROPN
fcis-16179	120	5	xu	xu	PROPN
fcis-16179	120	6	,	,	PUNCT
fcis-16179	120	7	j.	j.	PROPN
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fcis-16179	120	10	and	and	CCONJ
fcis-16179	120	11	y.	y.	PROPN
fcis-16179	120	12	hu	hu	PROPN
fcis-16179	120	13	,	,	PUNCT
fcis-16179	120	14	“	"	PUNCT
fcis-16179	120	15	early	early	ADJ
fcis-16179	120	16	diabetes	diabetes	NOUN
fcis-16179	120	17	risk	risk	NOUN
fcis-16179	120	18	prediction	prediction	NOUN
fcis-16179	120	19	based	base	VERB
fcis-16179	120	20	on	on	ADP
fcis-16179	120	21	deep	deep	ADJ
fcis-16179	120	22	learning	learning	NOUN
fcis-16179	120	23	methods	method	NOUN
fcis-16179	120	24	,	,	PUNCT
fcis-16179	120	25	”	"	PUNCT
fcis-16179	120	26	in	in	ADP
fcis-16179	120	27	2021	2021	NUM
fcis-16179	120	28	4th	4th	ADJ
fcis-16179	120	29	international	international	ADJ
fcis-16179	120	30	conference	conference	NOUN
fcis-16179	120	31	on	on	ADP
fcis-16179	120	32	pattern	pattern	NOUN
fcis-16179	120	33	recognition	recognition	NOUN
fcis-16179	120	34	and	and	CCONJ
fcis-16179	120	35	artificial	artificial	ADJ
fcis-16179	120	36	intelligence	intelligence	NOUN
fcis-16179	120	37	(	(	PUNCT
fcis-16179	120	38	prai	prai	NOUN
fcis-16179	120	39	)	)	PUNCT
fcis-16179	120	40	,	,	PUNCT
fcis-16179	120	41	2021	2021	NUM
fcis-16179	120	42	,	,	PUNCT
fcis-16179	120	43	pp	pp	ADJ
fcis-16179	120	44	.	.	PUNCT
fcis-16179	121	1	282–286	282–286	NUM
fcis-16179	121	2	.	.	PUNCT
fcis-16179	122	1	[	[	X
fcis-16179	122	2	6	6	NUM
fcis-16179	122	3	]	]	X
fcis-16179	122	4	y.	y.	NOUN
fcis-16179	122	5	lecun	lecun	PROPN
fcis-16179	122	6	,	,	PUNCT
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fcis-16179	122	8	bottou	bottou	PROPN
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fcis-16179	122	10	y.	y.	PROPN
fcis-16179	122	11	bengio	bengio	PROPN
fcis-16179	122	12	,	,	PUNCT
fcis-16179	122	13	and	and	CCONJ
fcis-16179	122	14	p.	p.	PROPN
fcis-16179	122	15	haffner	haffner	NOUN
fcis-16179	122	16	,	,	PUNCT
fcis-16179	122	17	“	"	PUNCT
fcis-16179	122	18	gradientbased	gradientbase	VERB
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fcis-16179	122	20	applied	apply	VERB
fcis-16179	122	21	to	to	ADP
fcis-16179	122	22	document	document	NOUN
fcis-16179	122	23	recognition	recognition	NOUN
fcis-16179	122	24	,	,	PUNCT
fcis-16179	122	25	”	"	PUNCT
fcis-16179	122	26	proc	proc	NOUN
fcis-16179	122	27	.	.	PUNCT
fcis-16179	123	1	ieee	ieee	NOUN
fcis-16179	123	2	,	,	PUNCT
fcis-16179	123	3	vol	vol	NOUN
fcis-16179	123	4	.	.	PROPN
fcis-16179	123	5	86	86	NUM
fcis-16179	123	6	,	,	PUNCT
fcis-16179	123	7	no	no	INTJ
fcis-16179	123	8	.	.	NOUN
fcis-16179	123	9	11	11	NUM
fcis-16179	123	10	,	,	PUNCT
fcis-16179	123	11	pp	pp	ADJ
fcis-16179	123	12	.	.	PUNCT
fcis-16179	124	1	2278–2324	2278–2324	NUM
fcis-16179	124	2	,	,	PUNCT
fcis-16179	124	3	nov	nov	PROPN
fcis-16179	124	4	.	.	PROPN
fcis-16179	124	5	1998	1998	NUM
fcis-16179	124	6	,	,	PUNCT
fcis-16179	124	7	doi	doi	PROPN
fcis-16179	124	8	:	:	PUNCT
fcis-16179	124	9	10.1109/	10.1109/	NUM
fcis-16179	124	10	5	5	NUM
fcis-16179	124	11	.	.	NOUN
fcis-16179	124	12	726791	726791	NUM
fcis-16179	124	13	.	.	PUNCT
fcis-16179	125	1	[	[	X
fcis-16179	125	2	7	7	X
fcis-16179	125	3	]	]	PUNCT
fcis-16179	125	4	m.	m.	NOUN
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fcis-16179	125	7	b.	b.	PROPN
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fcis-16179	125	15	ratio	ratio	NOUN
fcis-16179	125	16	trend	trend	NOUN
fcis-16179	125	17	prediction	prediction	NOUN
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fcis-16179	125	25	,	,	PUNCT
fcis-16179	125	26	”	"	PUNCT
fcis-16179	125	27	in	in	ADP
fcis-16179	125	28	2022	2022	NUM
fcis-16179	125	29	ieee	ieee	NOUN
fcis-16179	125	30	5th	5th	ADJ
fcis-16179	125	31	advanced	advanced	ADJ
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fcis-16179	125	33	management	management	NOUN
fcis-16179	125	34	,	,	PUNCT
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fcis-16179	125	36	,	,	PUNCT
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fcis-16179	125	38	and	and	CCONJ
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fcis-16179	125	40	control	control	NOUN
fcis-16179	125	41	conference	conference	PROPN
fcis-16179	125	42	(	(	PUNCT
fcis-16179	125	43	imcec	imcec	PROPN
fcis-16179	125	44	)	)	PUNCT
fcis-16179	125	45	,	,	PUNCT
fcis-16179	125	46	2022	2022	NUM
fcis-16179	125	47	,	,	PUNCT
fcis-16179	125	48	pp	pp	ADJ
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fcis-16179	126	1	1457–1460	1457–1460	NUM
fcis-16179	126	2	.	.	PUNCT
fcis-16179	127	1	[	[	X
fcis-16179	127	2	8	8	X
fcis-16179	127	3	]	]	PUNCT
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fcis-16179	127	9	,	,	PUNCT
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fcis-16179	127	11	t.	t.	PROPN
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fcis-16179	127	13	,	,	PUNCT
fcis-16179	127	14	“	"	PUNCT
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fcis-16179	127	17	networks	network	NOUN
fcis-16179	127	18	for	for	ADP
fcis-16179	127	19	semantic	semantic	ADJ
fcis-16179	127	20	segmentation	segmentation	NOUN
fcis-16179	127	21	,	,	PUNCT
fcis-16179	127	22	”	"	PUNCT
fcis-16179	127	23	in	in	ADP
fcis-16179	127	24	proceedings	proceeding	NOUN
fcis-16179	127	25	of	of	ADP
fcis-16179	127	26	the	the	DET
fcis-16179	127	27	ieee	ieee	NOUN
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fcis-16179	127	29	on	on	ADP
fcis-16179	127	30	computer	computer	NOUN
fcis-16179	127	31	vision	vision	NOUN
fcis-16179	127	32	and	and	CCONJ
fcis-16179	127	33	pattern	pattern	NOUN
fcis-16179	127	34	recognition	recognition	NOUN
fcis-16179	127	35	,	,	PUNCT
fcis-16179	127	36	2015	2015	NUM
fcis-16179	127	37	,	,	PUNCT
fcis-16179	127	38	pp	pp	ADJ
fcis-16179	127	39	.	.	PUNCT
fcis-16179	128	1	3431–3440	3431–3440	NUM
fcis-16179	128	2	.	.	PUNCT
fcis-16179	129	1	[	[	X
fcis-16179	129	2	9	9	NUM
fcis-16179	129	3	]	]	PUNCT
fcis-16179	129	4	s.	s.	PROPN
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fcis-16179	129	6	,	,	PUNCT
fcis-16179	129	7	h.	h.	PROPN
fcis-16179	129	8	tong	tong	PROPN
fcis-16179	129	9	,	,	PUNCT
fcis-16179	129	10	j.	j.	PROPN
fcis-16179	129	11	xu	xu	PROPN
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fcis-16179	129	14	r.	r.	PROPN
fcis-16179	129	15	maciejewski	maciejewski	PROPN
fcis-16179	129	16	,	,	PUNCT
fcis-16179	129	17	“	"	PUNCT
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fcis-16179	129	19	convolutional	convolutional	ADJ
fcis-16179	129	20	networks	network	NOUN
fcis-16179	129	21	:	:	PUNCT
fcis-16179	129	22	a	a	DET
fcis-16179	129	23	comprehensive	comprehensive	ADJ
fcis-16179	129	24	review	review	NOUN
fcis-16179	129	25	,	,	PUNCT
fcis-16179	129	26	”	"	PUNCT
fcis-16179	129	27	computational	computational	ADJ
fcis-16179	129	28	social	social	ADJ
fcis-16179	129	29	networks	network	NOUN
fcis-16179	129	30	,	,	PUNCT
fcis-16179	129	31	vol	vol	NOUN
fcis-16179	129	32	.	.	PROPN
fcis-16179	129	33	6	6	NUM
fcis-16179	129	34	,	,	PUNCT
fcis-16179	129	35	no	no	INTJ
fcis-16179	129	36	.	.	NOUN
fcis-16179	129	37	1	1	NUM
fcis-16179	129	38	,	,	PUNCT
fcis-16179	129	39	pp	pp	PROPN
fcis-16179	129	40	.	.	PUNCT
fcis-16179	130	1	1–23	1–23	PROPN
fcis-16179	130	2	,	,	PUNCT
fcis-16179	130	3	2019	2019	NUM
fcis-16179	130	4	,	,	PUNCT
fcis-16179	130	5	doi	doi	NOUN
fcis-16179	130	6	:	:	PUNCT
fcis-16179	130	7	10.1186	10.1186	NUM
fcis-16179	130	8	/	/	SYM
fcis-16179	130	9	s40649	s40649	PROPN
fcis-16179	130	10	-	-	PUNCT
fcis-16179	130	11	019	019	NUM
fcis-16179	130	12	-	-	PUNCT
fcis-16179	130	13	0069	0069	NUM
fcis-16179	130	14	-	-	PUNCT
fcis-16179	130	15	y.	y.	NOUN
fcis-16179	131	1	[	[	X
fcis-16179	131	2	10	10	NUM
fcis-16179	131	3	]	]	X
fcis-16179	131	4	i.	i.	PROPN
fcis-16179	131	5	bello	bello	PROPN
fcis-16179	131	6	,	,	PUNCT
fcis-16179	131	7	b.	b.	PROPN
fcis-16179	131	8	zoph	zoph	PROPN
fcis-16179	131	9	,	,	PUNCT
fcis-16179	131	10	v.	v.	PROPN
fcis-16179	131	11	vasudevan	vasudevan	PROPN
fcis-16179	131	12	,	,	PUNCT
fcis-16179	131	13	and	and	CCONJ
fcis-16179	131	14	q.	q.	PROPN
fcis-16179	131	15	v.	v.	CCONJ
fcis-16179	131	16	le	le	PROPN
fcis-16179	131	17	,	,	PUNCT
fcis-16179	131	18	“	"	PUNCT
fcis-16179	131	19	neural	neural	ADJ
fcis-16179	131	20	optimizer	optimizer	NOUN
fcis-16179	131	21	search	search	NOUN
fcis-16179	131	22	with	with	ADP
fcis-16179	131	23	reinforcement	reinforcement	NOUN
fcis-16179	131	24	learning	learning	NOUN
fcis-16179	131	25	,	,	PUNCT
fcis-16179	131	26	”	"	PUNCT
fcis-16179	131	27	in	in	ADP
fcis-16179	131	28	international	international	ADJ
fcis-16179	131	29	conference	conference	NOUN
fcis-16179	131	30	on	on	ADP
fcis-16179	131	31	machine	machine	NOUN
fcis-16179	131	32	learning	learning	NOUN
fcis-16179	131	33	,	,	PUNCT
fcis-16179	131	34	pmlr	pmlr	NOUN
fcis-16179	131	35	,	,	PUNCT
fcis-16179	131	36	2017	2017	NUM
fcis-16179	131	37	,	,	PUNCT
fcis-16179	131	38	pp	pp	ADJ
fcis-16179	131	39	.	.	PUNCT
fcis-16179	132	1	459–468	459–468	X
fcis-16179	132	2	.	.	PUNCT