id	sid	tid	token	lemma	pos
cet-9881	1	1	microsoft	microsoft	PROPN
cet-9881	1	2	word	word	NOUN
cet-9881	1	3	425simasatitkul.doc	425simasatitkul.doc	NUM
cet-9881	1	4	chemical	chemical	NOUN
cet-9881	1	5	engineering	engineering	NOUN
cet-9881	1	6	transactions	transaction	NOUN
cet-9881	1	7	vol	vol	NOUN
cet-9881	1	8	.	.	PROPN
cet-9881	2	1	74	74	NUM
cet-9881	2	2	,	,	PUNCT
cet-9881	2	3	2019	2019	NUM
cet-9881	2	4	a	a	DET
cet-9881	2	5	publication	publication	NOUN
cet-9881	2	6	of	of	ADP
cet-9881	2	7	the	the	DET
cet-9881	2	8	italian	italian	ADJ
cet-9881	2	9	association	association	NOUN
cet-9881	2	10	of	of	ADP
cet-9881	2	11	chemical	chemical	PROPN
cet-9881	2	12	engineering	engineering	NOUN
cet-9881	2	13	online	online	ADV
cet-9881	2	14	at	at	ADP
cet-9881	2	15	www.cetjournal.it	www.cetjournal.it	PROPN
cet-9881	2	16	guest	guest	NOUN
cet-9881	2	17	editors	editor	NOUN
cet-9881	2	18	:	:	PUNCT
cet-9881	2	19	sauro	sauro	PROPN
cet-9881	2	20	pierucci	pierucci	PROPN
cet-9881	2	21	,	,	PUNCT
cet-9881	2	22	jiří	jiří	NOUN
cet-9881	2	23	jaromír	jaromír	PROPN
cet-9881	2	24	klemeš	klemeš	PROPN
cet-9881	2	25	,	,	PUNCT
cet-9881	2	26	laura	laura	NOUN
cet-9881	2	27	piazza	piazza	VERB
cet-9881	2	28	copyright	copyright	NOUN
cet-9881	2	29	©	©	PROPN
cet-9881	2	30	2019	2019	NUM
cet-9881	2	31	,	,	PUNCT
cet-9881	2	32	aidic	aidic	ADJ
cet-9881	2	33	servizi	servizi	PROPN
cet-9881	2	34	s.r.l	s.r.l	PROPN
cet-9881	2	35	.	.	PUNCT
cet-9881	3	1	isbn	isbn	ADJ
cet-9881	3	2	978	978	NUM
cet-9881	3	3	-	-	SYM
cet-9881	3	4	88	88	NUM
cet-9881	3	5	-	-	PUNCT
cet-9881	3	6	95608	95608	NUM
cet-9881	3	7	-	-	PUNCT
cet-9881	3	8	71	71	NUM
cet-9881	3	9	-	-	SYM
cet-9881	3	10	6	6	NUM
cet-9881	3	11	;	;	PUNCT
cet-9881	3	12	issn	issn	PROPN
cet-9881	3	13	2283	2283	NUM
cet-9881	3	14	-	-	SYM
cet-9881	3	15	9216	9216	NUM
cet-9881	3	16	a	a	DET
cet-9881	3	17	deep	deep	ADJ
cet-9881	3	18	learning	learning	NOUN
cet-9881	3	19	approach	approach	NOUN
cet-9881	3	20	on	on	ADP
cet-9881	3	21	industrial	industrial	ADJ
cet-9881	3	22	pyrolysis	pyrolysis	NOUN
cet-9881	3	23	reactor	reactor	NOUN
cet-9881	3	24	monitoring	monitor	VERB
cet-9881	3	25	wenbo	wenbo	PROPN
cet-9881	3	26	zhua	zhua	PROPN
cet-9881	3	27	,	,	PUNCT
cet-9881	3	28	yibin	yibin	PROPN
cet-9881	3	29	zhanb	zhanb	PROPN
cet-9881	3	30	,	,	PUNCT
cet-9881	3	31	jose	jose	PROPN
cet-9881	3	32	a.romagnolia	a.romagnolia	ADV
cet-9881	3	33	,	,	PUNCT
cet-9881	3	34	*	*	PUNCT
cet-9881	3	35	a	a	DET
cet-9881	3	36	department	department	NOUN
cet-9881	3	37	of	of	ADP
cet-9881	3	38	chemical	chemical	PROPN
cet-9881	3	39	engineering	engineering	PROPN
cet-9881	3	40	,	,	PUNCT
cet-9881	3	41	louisiana	louisiana	PROPN
cet-9881	3	42	state	state	PROPN
cet-9881	3	43	university	university	PROPN
cet-9881	3	44	,	,	PUNCT
cet-9881	3	45	baton	baton	NOUN
cet-9881	3	46	rouge	rouge	NOUN
cet-9881	3	47	,	,	PUNCT
cet-9881	3	48	louisiana	louisiana	PROPN
cet-9881	3	49	,	,	PUNCT
cet-9881	3	50	70803	70803	NUM
cet-9881	3	51	,	,	PUNCT
cet-9881	3	52	united	united	PROPN
cet-9881	3	53	states	states	PROPN
cet-9881	3	54	b	b	PROPN
cet-9881	3	55	shanghai	shanghai	PROPN
cet-9881	3	56	supezet	supezet	PROPN
cet-9881	3	57	engineering	engineering	PROPN
cet-9881	3	58	technology	technology	PROPN
cet-9881	3	59	corp,.ltd	corp,.ltd	PROPN
cet-9881	3	60	,	,	PUNCT
cet-9881	3	61	268	268	NUM
cet-9881	3	62	linxin	linxin	PROPN
cet-9881	3	63	rd	rd	PROPN
cet-9881	3	64	no.3	no.3	PROPN
cet-9881	3	65	,	,	PUNCT
cet-9881	3	66	shanghai	shanghai	PROPN
cet-9881	3	67	,	,	PUNCT
cet-9881	3	68	200335	200335	NUM
cet-9881	3	69	,	,	PUNCT
cet-9881	3	70	china	china	PROPN
cet-9881	3	71	jose@lsu.edu	jose@lsu.edu	VERB
cet-9881	4	1	the	the	DET
cet-9881	4	2	pyrolysis	pyrolysis	NOUN
cet-9881	4	3	process	process	NOUN
cet-9881	4	4	monitoring	monitoring	NOUN
cet-9881	4	5	is	be	AUX
cet-9881	4	6	always	always	ADV
cet-9881	4	7	challenging	challenge	VERB
cet-9881	4	8	due	due	ADJ
cet-9881	4	9	to	to	ADP
cet-9881	4	10	the	the	DET
cet-9881	4	11	high	high	ADJ
cet-9881	4	12	operating	operating	NOUN
cet-9881	4	13	temperature	temperature	NOUN
cet-9881	4	14	inside	inside	ADP
cet-9881	4	15	a	a	DET
cet-9881	4	16	fired	fire	VERB
cet-9881	4	17	furnace	furnace	NOUN
cet-9881	4	18	.	.	PUNCT
cet-9881	5	1	to	to	PART
cet-9881	5	2	obtain	obtain	VERB
cet-9881	5	3	better	well	ADJ
cet-9881	5	4	understanding	understanding	NOUN
cet-9881	5	5	of	of	ADP
cet-9881	5	6	the	the	DET
cet-9881	5	7	pyrolysis	pyrolysis	NOUN
cet-9881	5	8	reactors	reactor	NOUN
cet-9881	5	9	,	,	PUNCT
cet-9881	5	10	we	we	PRON
cet-9881	5	11	proposed	propose	VERB
cet-9881	5	12	a	a	DET
cet-9881	5	13	monitoring	monitoring	NOUN
cet-9881	5	14	framework	framework	NOUN
cet-9881	5	15	that	that	PRON
cet-9881	5	16	builds	build	VERB
cet-9881	5	17	upon	upon	SCONJ
cet-9881	5	18	thermal	thermal	ADJ
cet-9881	5	19	photography	photography	NOUN
cet-9881	5	20	to	to	PART
cet-9881	5	21	provide	provide	VERB
cet-9881	5	22	a	a	DET
cet-9881	5	23	detailed	detailed	ADJ
cet-9881	5	24	view	view	NOUN
cet-9881	5	25	inside	inside	ADP
cet-9881	5	26	the	the	DET
cet-9881	5	27	fired	fire	VERB
cet-9881	5	28	furnace	furnace	NOUN
cet-9881	5	29	.	.	PUNCT
cet-9881	6	1	based	base	VERB
cet-9881	6	2	on	on	ADP
cet-9881	6	3	the	the	DET
cet-9881	6	4	infrared	infrared	ADJ
cet-9881	6	5	photos	photo	NOUN
cet-9881	6	6	,	,	PUNCT
cet-9881	6	7	the	the	DET
cet-9881	6	8	convolutional	convolutional	ADJ
cet-9881	6	9	neural	neural	ADJ
cet-9881	6	10	network	network	NOUN
cet-9881	6	11	is	be	AUX
cet-9881	6	12	introduced	introduce	VERB
cet-9881	6	13	into	into	ADP
cet-9881	6	14	the	the	DET
cet-9881	6	15	monitoring	monitoring	NOUN
cet-9881	6	16	framework	framework	NOUN
cet-9881	6	17	to	to	PART
cet-9881	6	18	automatically	automatically	ADV
cet-9881	6	19	recognize	recognize	VERB
cet-9881	6	20	tube	tube	NOUN
cet-9881	6	21	regions	region	NOUN
cet-9881	6	22	from	from	ADP
cet-9881	6	23	the	the	DET
cet-9881	6	24	photos	photo	NOUN
cet-9881	6	25	.	.	PUNCT
cet-9881	7	1	in	in	ADP
cet-9881	7	2	this	this	DET
cet-9881	7	3	work	work	NOUN
cet-9881	7	4	,	,	PUNCT
cet-9881	7	5	a	a	DET
cet-9881	7	6	segmentation	segmentation	NOUN
cet-9881	7	7	network	network	NOUN
cet-9881	7	8	is	be	AUX
cet-9881	7	9	proposed	propose	VERB
cet-9881	7	10	based	base	VERB
cet-9881	7	11	on	on	ADP
cet-9881	7	12	the	the	DET
cet-9881	7	13	u	u	NOUN
cet-9881	7	14	-	-	NOUN
cet-9881	7	15	net	net	ADJ
cet-9881	7	16	and	and	CCONJ
cet-9881	7	17	resnet-50	resnet-50	NOUN
cet-9881	7	18	frameworks	framework	NOUN
cet-9881	7	19	,	,	PUNCT
cet-9881	7	20	by	by	ADP
cet-9881	7	21	which	which	PRON
cet-9881	7	22	the	the	DET
cet-9881	7	23	precise	precise	ADJ
cet-9881	7	24	temperature	temperature	NOUN
cet-9881	7	25	and	and	CCONJ
cet-9881	7	26	shape	shape	VERB
cet-9881	7	27	information	information	NOUN
cet-9881	7	28	on	on	ADP
cet-9881	7	29	tube	tube	NOUN
cet-9881	7	30	regions	region	NOUN
cet-9881	7	31	can	can	AUX
cet-9881	7	32	be	be	AUX
cet-9881	7	33	extracted	extract	VERB
cet-9881	7	34	from	from	ADP
cet-9881	7	35	the	the	DET
cet-9881	7	36	raw	raw	ADJ
cet-9881	7	37	photos	photo	NOUN
cet-9881	7	38	.	.	PUNCT
cet-9881	8	1	after	after	ADP
cet-9881	8	2	extracting	extract	VERB
cet-9881	8	3	the	the	DET
cet-9881	8	4	important	important	ADJ
cet-9881	8	5	monitoring	monitoring	NOUN
cet-9881	8	6	measurements	measurement	NOUN
cet-9881	8	7	,	,	PUNCT
cet-9881	8	8	a	a	DET
cet-9881	8	9	control	control	NOUN
cet-9881	8	10	limit	limit	NOUN
cet-9881	8	11	is	be	AUX
cet-9881	8	12	drawn	draw	VERB
cet-9881	8	13	by	by	ADP
cet-9881	8	14	the	the	DET
cet-9881	8	15	adaptive	adaptive	ADJ
cet-9881	8	16	k	k	ADV
cet-9881	8	17	-	-	PUNCT
cet-9881	8	18	nearest	near	ADJ
cet-9881	8	19	neighbor	neighbor	NOUN
cet-9881	8	20	method	method	NOUN
cet-9881	8	21	to	to	PART
cet-9881	8	22	detect	detect	VERB
cet-9881	8	23	abnormal	abnormal	ADJ
cet-9881	8	24	conditions	condition	NOUN
cet-9881	8	25	.	.	PUNCT
cet-9881	9	1	the	the	DET
cet-9881	9	2	testing	testing	NOUN
cet-9881	9	3	result	result	NOUN
cet-9881	9	4	indicates	indicate	VERB
cet-9881	9	5	that	that	SCONJ
cet-9881	9	6	the	the	DET
cet-9881	9	7	proposed	propose	VERB
cet-9881	9	8	monitoring	monitoring	NOUN
cet-9881	9	9	framework	framework	NOUN
cet-9881	9	10	provides	provide	VERB
cet-9881	9	11	in	in	ADP
cet-9881	9	12	-	-	PUNCT
cet-9881	9	13	depth	depth	NOUN
cet-9881	9	14	information	information	NOUN
cet-9881	9	15	of	of	ADP
cet-9881	9	16	the	the	DET
cet-9881	9	17	reactor	reactor	NOUN
cet-9881	9	18	and	and	CCONJ
cet-9881	9	19	detailed	detailed	ADJ
cet-9881	9	20	fault	fault	NOUN
cet-9881	9	21	diagnosis	diagnosis	NOUN
cet-9881	9	22	to	to	PART
cet-9881	9	23	process	process	VERB
cet-9881	9	24	operators	operator	NOUN
cet-9881	9	25	.	.	PUNCT
cet-9881	10	1	1	1	X
cet-9881	10	2	.	.	X
cet-9881	10	3	introduction	introduction	NOUN
cet-9881	10	4	in	in	ADP
cet-9881	10	5	chemical	chemical	NOUN
cet-9881	10	6	industries	industry	NOUN
cet-9881	10	7	,	,	PUNCT
cet-9881	10	8	pyrolysis	pyrolysis	NOUN
cet-9881	10	9	reactors	reactor	NOUN
cet-9881	10	10	are	be	AUX
cet-9881	10	11	important	important	ADJ
cet-9881	10	12	components	component	NOUN
cet-9881	10	13	used	use	VERB
cet-9881	10	14	for	for	ADP
cet-9881	10	15	producing	produce	VERB
cet-9881	10	16	lower	low	ADJ
cet-9881	10	17	molecular	molecular	ADJ
cet-9881	10	18	weight	weight	NOUN
cet-9881	10	19	hydrocarbons	hydrocarbon	NOUN
cet-9881	10	20	from	from	ADP
cet-9881	10	21	heavier	heavy	ADJ
cet-9881	10	22	hydrocarbons	hydrocarbon	NOUN
cet-9881	10	23	in	in	ADP
cet-9881	10	24	fired	fire	VERB
cet-9881	10	25	furnaces	furnace	NOUN
cet-9881	10	26	.	.	PUNCT
cet-9881	11	1	olefins	olefin	NOUN
cet-9881	11	2	,	,	PUNCT
cet-9881	11	3	such	such	ADJ
cet-9881	11	4	as	as	ADP
cet-9881	11	5	ethylene	ethylene	NOUN
cet-9881	11	6	and	and	CCONJ
cet-9881	11	7	propylene	propylene	NOUN
cet-9881	11	8	are	be	AUX
cet-9881	11	9	primarily	primarily	ADV
cet-9881	11	10	manufactured	manufacture	VERB
cet-9881	11	11	from	from	ADP
cet-9881	11	12	naphtha	naphtha	NOUN
cet-9881	11	13	cracking	cracking	NOUN
cet-9881	11	14	process	process	NOUN
cet-9881	11	15	(	(	PUNCT
cet-9881	11	16	i.	i.	NOUN
cet-9881	11	17	amghizar	amghizar	PROPN
cet-9881	11	18	,	,	PUNCT
cet-9881	11	19	2017	2017	NUM
cet-9881	11	20	)	)	PUNCT
cet-9881	11	21	.	.	PUNCT
cet-9881	12	1	to	to	PART
cet-9881	12	2	ensure	ensure	VERB
cet-9881	12	3	the	the	DET
cet-9881	12	4	operation	operation	NOUN
cet-9881	12	5	of	of	ADP
cet-9881	12	6	such	such	ADJ
cet-9881	12	7	process	process	NOUN
cet-9881	12	8	is	be	AUX
cet-9881	12	9	safe	safe	ADJ
cet-9881	12	10	and	and	CCONJ
cet-9881	12	11	efficient	efficient	ADJ
cet-9881	12	12	,	,	PUNCT
cet-9881	12	13	monitoring	monitor	VERB
cet-9881	12	14	the	the	DET
cet-9881	12	15	process	process	NOUN
cet-9881	12	16	is	be	AUX
cet-9881	12	17	of	of	ADP
cet-9881	12	18	paramount	paramount	ADJ
cet-9881	12	19	importance	importance	NOUN
cet-9881	12	20	,	,	PUNCT
cet-9881	12	21	while	while	SCONJ
cet-9881	12	22	in	in	ADP
cet-9881	12	23	practice	practice	NOUN
cet-9881	12	24	,	,	PUNCT
cet-9881	12	25	monitoring	monitor	VERB
cet-9881	12	26	the	the	DET
cet-9881	12	27	pyrolysis	pyrolysis	NOUN
cet-9881	12	28	process	process	NOUN
cet-9881	12	29	is	be	AUX
cet-9881	12	30	always	always	ADV
cet-9881	12	31	challenging	challenge	VERB
cet-9881	12	32	,	,	PUNCT
cet-9881	12	33	due	due	ADP
cet-9881	12	34	to	to	ADP
cet-9881	12	35	the	the	DET
cet-9881	12	36	high	high	ADJ
cet-9881	12	37	temperature	temperature	NOUN
cet-9881	12	38	around	around	ADP
cet-9881	12	39	the	the	DET
cet-9881	12	40	cracking	cracking	NOUN
cet-9881	12	41	area	area	NOUN
cet-9881	12	42	where	where	SCONJ
cet-9881	12	43	normal	normal	ADJ
cet-9881	12	44	sensors	sensor	NOUN
cet-9881	12	45	can	can	AUX
cet-9881	12	46	hardly	hardly	ADV
cet-9881	12	47	be	be	AUX
cet-9881	12	48	implemented	implement	VERB
cet-9881	12	49	.	.	PUNCT
cet-9881	13	1	thus	thus	ADV
cet-9881	13	2	,	,	PUNCT
cet-9881	13	3	infrared	infrared	ADJ
cet-9881	13	4	thermography	thermography	NOUN
cet-9881	13	5	can	can	AUX
cet-9881	13	6	be	be	AUX
cet-9881	13	7	a	a	DET
cet-9881	13	8	practical	practical	ADJ
cet-9881	13	9	solution	solution	NOUN
cet-9881	13	10	to	to	PART
cet-9881	13	11	provide	provide	VERB
cet-9881	13	12	in	in	ADP
cet-9881	13	13	-	-	PUNCT
cet-9881	13	14	depth	depth	NOUN
cet-9881	13	15	information	information	NOUN
cet-9881	13	16	of	of	ADP
cet-9881	13	17	the	the	DET
cet-9881	13	18	pyrolysis	pyrolysis	NOUN
cet-9881	13	19	process	process	NOUN
cet-9881	13	20	inside	inside	ADP
cet-9881	13	21	the	the	DET
cet-9881	13	22	fired	fire	VERB
cet-9881	13	23	furnace	furnace	NOUN
cet-9881	13	24	,	,	PUNCT
cet-9881	13	25	from	from	ADP
cet-9881	13	26	which	which	PRON
cet-9881	13	27	many	many	ADJ
cet-9881	13	28	operational	operational	ADJ
cet-9881	13	29	conditions	condition	NOUN
cet-9881	13	30	including	include	VERB
cet-9881	13	31	tube	tube	NOUN
cet-9881	13	32	coking	coking	NOUN
cet-9881	13	33	,	,	PUNCT
cet-9881	13	34	tube	tube	NOUN
cet-9881	13	35	deformation	deformation	NOUN
cet-9881	13	36	and	and	CCONJ
cet-9881	13	37	temperature	temperature	NOUN
cet-9881	13	38	overheating	overheat	VERB
cet-9881	13	39	can	can	AUX
cet-9881	13	40	be	be	AUX
cet-9881	13	41	simply	simply	ADV
cet-9881	13	42	observed	observe	VERB
cet-9881	13	43	.	.	PUNCT
cet-9881	14	1	to	to	PART
cet-9881	14	2	automatically	automatically	ADV
cet-9881	14	3	analyze	analyze	VERB
cet-9881	14	4	these	these	DET
cet-9881	14	5	photos	photo	NOUN
cet-9881	14	6	,	,	PUNCT
cet-9881	14	7	feature	feature	NOUN
cet-9881	14	8	engineering	engineering	NOUN
cet-9881	14	9	can	can	AUX
cet-9881	14	10	be	be	AUX
cet-9881	14	11	a	a	DET
cet-9881	14	12	solution	solution	NOUN
cet-9881	14	13	to	to	PART
cet-9881	14	14	process	process	VERB
cet-9881	14	15	them	they	PRON
cet-9881	14	16	in	in	ADP
cet-9881	14	17	a	a	DET
cet-9881	14	18	batch	batch	NOUN
cet-9881	14	19	.	.	PUNCT
cet-9881	15	1	in	in	ADP
cet-9881	15	2	terms	term	NOUN
cet-9881	15	3	of	of	ADP
cet-9881	15	4	feature	feature	NOUN
cet-9881	15	5	engineering	engineering	NOUN
cet-9881	15	6	,	,	PUNCT
cet-9881	15	7	it	it	PRON
cet-9881	15	8	derives	derive	VERB
cet-9881	15	9	non	non	ADJ
cet-9881	15	10	-	-	ADJ
cet-9881	15	11	redundant	redundant	ADJ
cet-9881	15	12	information	information	NOUN
cet-9881	15	13	from	from	ADP
cet-9881	15	14	raw	raw	ADJ
cet-9881	15	15	data	datum	NOUN
cet-9881	15	16	to	to	PART
cet-9881	15	17	discover	discover	VERB
cet-9881	15	18	the	the	DET
cet-9881	15	19	knowledge	knowledge	NOUN
cet-9881	15	20	of	of	ADP
cet-9881	15	21	the	the	DET
cet-9881	15	22	system	system	NOUN
cet-9881	15	23	.	.	PUNCT
cet-9881	16	1	feature	feature	NOUN
cet-9881	16	2	engineering	engineering	NOUN
cet-9881	16	3	plays	play	VERB
cet-9881	16	4	a	a	DET
cet-9881	16	5	key	key	ADJ
cet-9881	16	6	role	role	NOUN
cet-9881	16	7	in	in	ADP
cet-9881	16	8	the	the	DET
cet-9881	16	9	image	image	NOUN
cet-9881	16	10	-	-	PUNCT
cet-9881	16	11	based	base	VERB
cet-9881	16	12	monitoring	monitoring	NOUN
cet-9881	16	13	system	system	NOUN
cet-9881	16	14	that	that	PRON
cet-9881	16	15	provides	provide	VERB
cet-9881	16	16	informative	informative	ADJ
cet-9881	16	17	feature	feature	NOUN
cet-9881	16	18	from	from	ADP
cet-9881	16	19	high	high	ADJ
cet-9881	16	20	-	-	PUNCT
cet-9881	16	21	dimensional	dimensional	ADJ
cet-9881	16	22	image	image	NOUN
cet-9881	16	23	data	datum	NOUN
cet-9881	16	24	and	and	CCONJ
cet-9881	16	25	draws	draw	VERB
cet-9881	16	26	right	right	ADJ
cet-9881	16	27	decision	decision	NOUN
cet-9881	16	28	about	about	ADP
cet-9881	16	29	the	the	DET
cet-9881	16	30	process	process	NOUN
cet-9881	16	31	operation	operation	NOUN
cet-9881	16	32	.	.	PUNCT
cet-9881	17	1	typically	typically	ADV
cet-9881	17	2	,	,	PUNCT
cet-9881	17	3	there	there	PRON
cet-9881	17	4	are	be	VERB
cet-9881	17	5	two	two	NUM
cet-9881	17	6	major	major	ADJ
cet-9881	17	7	approaches	approach	NOUN
cet-9881	17	8	used	use	VERB
cet-9881	17	9	in	in	ADP
cet-9881	17	10	feature	feature	NOUN
cet-9881	17	11	engineering	engineering	NOUN
cet-9881	17	12	:	:	PUNCT
cet-9881	17	13	model	model	NOUN
cet-9881	17	14	-	-	PUNCT
cet-9881	17	15	driven	drive	VERB
cet-9881	17	16	and	and	CCONJ
cet-9881	17	17	data	datum	NOUN
cet-9881	17	18	-	-	PUNCT
cet-9881	17	19	driven	drive	VERB
cet-9881	17	20	.	.	PUNCT
cet-9881	18	1	modeldriven	modeldriven	NOUN
cet-9881	18	2	approaches	approach	NOUN
cet-9881	18	3	build	build	VERB
cet-9881	18	4	features	feature	NOUN
cet-9881	18	5	based	base	VERB
cet-9881	18	6	on	on	ADP
cet-9881	18	7	the	the	DET
cet-9881	18	8	first	first	ADJ
cet-9881	18	9	principle	principle	NOUN
cet-9881	18	10	that	that	PRON
cet-9881	18	11	uses	use	VERB
cet-9881	18	12	physical	physical	ADJ
cet-9881	18	13	theories	theory	NOUN
cet-9881	18	14	to	to	PART
cet-9881	18	15	link	link	VERB
cet-9881	18	16	the	the	DET
cet-9881	18	17	observation	observation	NOUN
cet-9881	18	18	with	with	ADP
cet-9881	18	19	the	the	DET
cet-9881	18	20	essence	essence	NOUN
cet-9881	18	21	,	,	PUNCT
cet-9881	18	22	while	while	SCONJ
cet-9881	18	23	such	such	ADJ
cet-9881	18	24	approaches	approach	NOUN
cet-9881	18	25	generally	generally	ADV
cet-9881	18	26	require	require	VERB
cet-9881	18	27	experienced	experienced	ADJ
cet-9881	18	28	researchers	researcher	NOUN
cet-9881	18	29	to	to	PART
cet-9881	18	30	derive	derive	VERB
cet-9881	18	31	mathematical	mathematical	ADJ
cet-9881	18	32	expression	expression	NOUN
cet-9881	18	33	and	and	CCONJ
cet-9881	18	34	labor	labor	NOUN
cet-9881	18	35	-	-	PUNCT
cet-9881	18	36	intensive	intensive	ADJ
cet-9881	18	37	experimental	experimental	ADJ
cet-9881	18	38	validations	validation	NOUN
cet-9881	18	39	.	.	PUNCT
cet-9881	19	1	on	on	ADP
cet-9881	19	2	the	the	DET
cet-9881	19	3	other	other	ADJ
cet-9881	19	4	hand	hand	NOUN
cet-9881	19	5	,	,	PUNCT
cet-9881	19	6	data	data	NOUN
cet-9881	19	7	-	-	PUNCT
cet-9881	19	8	driven	drive	VERB
cet-9881	19	9	approaches	approach	NOUN
cet-9881	19	10	circumvent	circumvent	VERB
cet-9881	19	11	above	above	ADP
cet-9881	19	12	drawbacks	drawback	NOUN
cet-9881	19	13	using	use	VERB
cet-9881	19	14	statistics	statistic	NOUN
cet-9881	19	15	and	and	CCONJ
cet-9881	19	16	machine	machine	NOUN
cet-9881	19	17	learning	learn	VERB
cet-9881	19	18	algorithms	algorithm	NOUN
cet-9881	19	19	to	to	PART
cet-9881	19	20	extract	extract	VERB
cet-9881	19	21	feature	feature	NOUN
cet-9881	19	22	directly	directly	ADV
cet-9881	19	23	from	from	ADP
cet-9881	19	24	raw	raw	ADJ
cet-9881	19	25	data	datum	NOUN
cet-9881	19	26	.	.	PUNCT
cet-9881	20	1	in	in	ADP
cet-9881	20	2	recent	recent	ADJ
cet-9881	20	3	years	year	NOUN
cet-9881	20	4	,	,	PUNCT
cet-9881	20	5	a	a	DET
cet-9881	20	6	number	number	NOUN
cet-9881	20	7	of	of	ADP
cet-9881	20	8	works	work	NOUN
cet-9881	20	9	(	(	PUNCT
cet-9881	20	10	l.	l.	PROPN
cet-9881	20	11	h.	h.	PROPN
cet-9881	20	12	chiang	chiang	PROPN
cet-9881	20	13	,	,	PUNCT
cet-9881	20	14	2000	2000	NUM
cet-9881	20	15	;	;	PUNCT
cet-9881	20	16	w.	w.	PROPN
cet-9881	20	17	li	li	PROPN
cet-9881	20	18	,	,	PUNCT
cet-9881	20	19	2000	2000	NUM
cet-9881	20	20	;	;	PUNCT
cet-9881	20	21	w.	w.	PROPN
cet-9881	20	22	zhu	zhu	PROPN
cet-9881	20	23	,	,	PUNCT
cet-9881	20	24	2018	2018	NUM
cet-9881	20	25	)	)	PUNCT
cet-9881	20	26	have	have	AUX
cet-9881	20	27	been	be	AUX
cet-9881	20	28	proposed	propose	VERB
cet-9881	20	29	that	that	SCONJ
cet-9881	20	30	applied	apply	VERB
cet-9881	20	31	multivariate	multivariate	NOUN
cet-9881	20	32	statistics	statistic	NOUN
cet-9881	20	33	and	and	CCONJ
cet-9881	20	34	machine	machine	NOUN
cet-9881	20	35	learning	learn	VERB
cet-9881	20	36	algorithms	algorithm	NOUN
cet-9881	20	37	in	in	ADP
cet-9881	20	38	process	process	NOUN
cet-9881	20	39	monitoring	monitoring	NOUN
cet-9881	20	40	.	.	PUNCT
cet-9881	21	1	beyond	beyond	ADP
cet-9881	21	2	traditional	traditional	ADJ
cet-9881	21	3	data	data	NOUN
cet-9881	21	4	-	-	PUNCT
cet-9881	21	5	driven	drive	VERB
cet-9881	21	6	methods	method	NOUN
cet-9881	21	7	,	,	PUNCT
cet-9881	21	8	the	the	DET
cet-9881	21	9	rapid	rapid	ADJ
cet-9881	21	10	development	development	NOUN
cet-9881	21	11	of	of	ADP
cet-9881	21	12	deep	deep	ADJ
cet-9881	21	13	learning	learning	NOUN
cet-9881	21	14	(	(	PUNCT
cet-9881	21	15	dl	dl	INTJ
cet-9881	21	16	)	)	PUNCT
cet-9881	21	17	has	have	AUX
cet-9881	21	18	brought	bring	VERB
cet-9881	21	19	huge	huge	ADJ
cet-9881	21	20	breakthroughs	breakthrough	NOUN
cet-9881	21	21	in	in	ADP
cet-9881	21	22	the	the	DET
cet-9881	21	23	feature	feature	NOUN
cet-9881	21	24	engineering	engineering	NOUN
cet-9881	21	25	area	area	NOUN
cet-9881	21	26	.	.	PUNCT
cet-9881	22	1	the	the	DET
cet-9881	22	2	origin	origin	NOUN
cet-9881	22	3	of	of	ADP
cet-9881	22	4	dl	dl	PROPN
cet-9881	22	5	approaches	approach	NOUN
cet-9881	22	6	can	can	AUX
cet-9881	22	7	be	be	AUX
cet-9881	22	8	traced	trace	VERB
cet-9881	22	9	back	back	ADV
cet-9881	22	10	to	to	ADP
cet-9881	22	11	the	the	DET
cet-9881	22	12	artificial	artificial	ADJ
cet-9881	22	13	neural	neural	ADJ
cet-9881	22	14	network	network	NOUN
cet-9881	22	15	method	method	NOUN
cet-9881	22	16	in	in	ADP
cet-9881	22	17	1980s	1980s	NUM
cet-9881	22	18	,	,	PUNCT
cet-9881	22	19	while	while	SCONJ
cet-9881	22	20	the	the	DET
cet-9881	22	21	current	current	ADJ
cet-9881	22	22	dl	dl	PROPN
cet-9881	22	23	methods	method	NOUN
cet-9881	22	24	utilize	utilize	VERB
cet-9881	22	25	multiple	multiple	ADJ
cet-9881	22	26	layers	layer	NOUN
cet-9881	22	27	of	of	ADP
cet-9881	22	28	neural	neural	ADJ
cet-9881	22	29	network	network	NOUN
cet-9881	22	30	to	to	PART
cet-9881	22	31	extract	extract	VERB
cet-9881	22	32	both	both	DET
cet-9881	22	33	high	high	ADJ
cet-9881	22	34	-	-	PUNCT
cet-9881	22	35	level	level	NOUN
cet-9881	22	36	and	and	CCONJ
cet-9881	22	37	low	low	ADJ
cet-9881	22	38	-	-	PUNCT
cet-9881	22	39	level	level	NOUN
cet-9881	22	40	features	feature	NOUN
cet-9881	22	41	.	.	PUNCT
cet-9881	23	1	in	in	ADP
cet-9881	23	2	the	the	DET
cet-9881	23	3	areas	area	NOUN
cet-9881	23	4	of	of	ADP
cet-9881	23	5	image	image	NOUN
cet-9881	23	6	analysis	analysis	NOUN
cet-9881	23	7	and	and	CCONJ
cet-9881	23	8	natural	natural	ADJ
cet-9881	23	9	language	language	NOUN
cet-9881	23	10	processing	processing	NOUN
cet-9881	23	11	,	,	PUNCT
cet-9881	23	12	dl	dl	PROPN
cet-9881	23	13	approaches	approach	NOUN
cet-9881	23	14	have	have	AUX
cet-9881	23	15	achieved	achieve	VERB
cet-9881	23	16	best	good	ADJ
cet-9881	23	17	records	record	NOUN
cet-9881	23	18	in	in	ADP
cet-9881	23	19	many	many	ADJ
cet-9881	23	20	benchmarks	benchmark	NOUN
cet-9881	23	21	and	and	CCONJ
cet-9881	23	22	have	have	AUX
cet-9881	23	23	been	be	AUX
cet-9881	23	24	widely	widely	ADV
cet-9881	23	25	applied	apply	VERB
cet-9881	23	26	in	in	ADP
cet-9881	23	27	many	many	ADJ
cet-9881	23	28	daily	daily	ADJ
cet-9881	23	29	life	life	NOUN
cet-9881	23	30	applications	application	NOUN
cet-9881	23	31	(	(	PUNCT
cet-9881	23	32	a.	a.	NOUN
cet-9881	23	33	esteva	esteva	PROPN
cet-9881	23	34	,	,	PUNCT
cet-9881	23	35	2017	2017	NUM
cet-9881	23	36	;	;	PUNCT
cet-9881	23	37	d.	d.	PROPN
cet-9881	23	38	silver	silver	NOUN
cet-9881	23	39	,	,	PUNCT
cet-9881	23	40	2017	2017	NUM
cet-9881	23	41	;	;	PUNCT
cet-9881	24	1	k.	k.	PROPN
cet-9881	24	2	he	he	PRON
cet-9881	24	3	,	,	PUNCT
cet-9881	24	4	2015	2015	NUM
cet-9881	24	5	;	;	PUNCT
cet-9881	24	6	v.	v.	PROPN
cet-9881	24	7	mnih	mnih	PROPN
cet-9881	24	8	,	,	PUNCT
cet-9881	24	9	2015	2015	NUM
cet-9881	24	10	)	)	PUNCT
cet-9881	24	11	.	.	PUNCT
cet-9881	25	1	doi	doi	NOUN
cet-9881	25	2	:	:	PUNCT
cet-9881	25	3	10.3303	10.3303	NUM
cet-9881	25	4	/	/	SYM
cet-9881	25	5	cet1974116	cet1974116	NOUN
cet-9881	25	6	paper	paper	NOUN
cet-9881	25	7	received	receive	VERB
cet-9881	25	8	:	:	PUNCT
cet-9881	25	9	26	26	NUM
cet-9881	25	10	may	may	PROPN
cet-9881	25	11	2018	2018	NUM
cet-9881	25	12	;	;	PUNCT
cet-9881	25	13	revised	revise	VERB
cet-9881	25	14	:	:	PUNCT
cet-9881	25	15	19	19	NUM
cet-9881	25	16	november	november	PROPN
cet-9881	25	17	2018	2018	NUM
cet-9881	25	18	;	;	PUNCT
cet-9881	25	19	accepted	accept	VERB
cet-9881	25	20	:	:	PUNCT
cet-9881	25	21	5	5	NUM
cet-9881	25	22	april	april	PROPN
cet-9881	25	23	2019	2019	NUM
cet-9881	25	24	please	please	INTJ
cet-9881	25	25	cite	cite	VERB
cet-9881	25	26	this	this	DET
cet-9881	25	27	article	article	NOUN
cet-9881	25	28	as	as	ADP
cet-9881	25	29	:	:	PUNCT
cet-9881	25	30	zhu	zhu	PROPN
cet-9881	25	31	w.	w.	PROPN
cet-9881	25	32	,	,	PUNCT
cet-9881	25	33	zhan	zhan	PROPN
cet-9881	25	34	y.	y.	PROPN
cet-9881	25	35	,	,	PUNCT
cet-9881	25	36	romagnoli	romagnoli	PROPN
cet-9881	25	37	j.	j.	PROPN
cet-9881	25	38	,	,	PUNCT
cet-9881	25	39	2019	2019	NUM
cet-9881	25	40	,	,	PUNCT
cet-9881	25	41	a	a	DET
cet-9881	25	42	deep	deep	ADJ
cet-9881	25	43	learning	learning	NOUN
cet-9881	25	44	approach	approach	NOUN
cet-9881	25	45	on	on	ADP
cet-9881	25	46	industrial	industrial	ADJ
cet-9881	25	47	pyrolysis	pyrolysis	NOUN
cet-9881	25	48	reactor	reactor	NOUN
cet-9881	25	49	monitoring	monitoring	NOUN
cet-9881	25	50	,	,	PUNCT
cet-9881	25	51	chemical	chemical	NOUN
cet-9881	25	52	engineering	engineering	NOUN
cet-9881	25	53	transactions	transaction	NOUN
cet-9881	25	54	,	,	PUNCT
cet-9881	25	55	74	74	NUM
cet-9881	25	56	,	,	PUNCT
cet-9881	25	57	691	691	NUM
cet-9881	25	58	-	-	SYM
cet-9881	25	59	696	696	NUM
cet-9881	25	60	doi:10.3303	doi:10.3303	NOUN
cet-9881	25	61	/	/	SYM
cet-9881	25	62	cet1974116	cet1974116	ADV
cet-9881	25	63	691	691	NUM
cet-9881	25	64	in	in	ADP
cet-9881	25	65	this	this	DET
cet-9881	25	66	work	work	NOUN
cet-9881	25	67	,	,	PUNCT
cet-9881	25	68	dl	dl	PROPN
cet-9881	25	69	approaches	approach	NOUN
cet-9881	25	70	are	be	AUX
cet-9881	25	71	introduced	introduce	VERB
cet-9881	25	72	into	into	ADP
cet-9881	25	73	the	the	DET
cet-9881	25	74	proposed	propose	VERB
cet-9881	25	75	monitoring	monitoring	NOUN
cet-9881	25	76	framework	framework	NOUN
cet-9881	25	77	for	for	ADP
cet-9881	25	78	temperature	temperature	NOUN
cet-9881	25	79	and	and	CCONJ
cet-9881	25	80	shape	shape	NOUN
cet-9881	25	81	monitoring	monitoring	NOUN
cet-9881	25	82	of	of	ADP
cet-9881	25	83	the	the	DET
cet-9881	25	84	pyrolysis	pyrolysis	NOUN
cet-9881	25	85	tubes	tube	NOUN
cet-9881	25	86	inside	inside	ADP
cet-9881	25	87	the	the	DET
cet-9881	25	88	furnace	furnace	NOUN
cet-9881	25	89	.	.	PUNCT
cet-9881	26	1	multiple	multiple	ADJ
cet-9881	26	2	infrared	infrared	ADJ
cet-9881	26	3	cameras	camera	NOUN
cet-9881	26	4	are	be	AUX
cet-9881	26	5	installed	instal	VERB
cet-9881	26	6	at	at	ADP
cet-9881	26	7	different	different	ADJ
cet-9881	26	8	angles	angle	NOUN
cet-9881	26	9	inside	inside	ADP
cet-9881	26	10	the	the	DET
cet-9881	26	11	fired	fire	VERB
cet-9881	26	12	furnace	furnace	NOUN
cet-9881	26	13	,	,	PUNCT
cet-9881	26	14	from	from	ADP
cet-9881	26	15	which	which	PRON
cet-9881	26	16	infrared	infrared	ADJ
cet-9881	26	17	photos	photo	NOUN
cet-9881	26	18	are	be	AUX
cet-9881	26	19	recorded	record	VERB
cet-9881	26	20	.	.	PUNCT
cet-9881	27	1	to	to	PART
cet-9881	27	2	effectively	effectively	ADV
cet-9881	27	3	analyze	analyze	VERB
cet-9881	27	4	the	the	DET
cet-9881	27	5	infrared	infrared	ADJ
cet-9881	27	6	photos	photo	NOUN
cet-9881	27	7	,	,	PUNCT
cet-9881	27	8	a	a	DET
cet-9881	27	9	pixel	pixel	ADJ
cet-9881	27	10	-	-	ADJ
cet-9881	27	11	wise	wise	ADJ
cet-9881	27	12	tube	tube	NOUN
cet-9881	27	13	segmentation	segmentation	NOUN
cet-9881	27	14	network	network	NOUN
cet-9881	27	15	is	be	AUX
cet-9881	27	16	developed	develop	VERB
cet-9881	27	17	based	base	VERB
cet-9881	27	18	on	on	ADP
cet-9881	27	19	combination	combination	NOUN
cet-9881	27	20	of	of	ADP
cet-9881	27	21	the	the	DET
cet-9881	27	22	resnet-50	resnet-50	PROPN
cet-9881	27	23	network	network	NOUN
cet-9881	27	24	and	and	CCONJ
cet-9881	27	25	u	u	NOUN
cet-9881	27	26	-	-	ADJ
cet-9881	27	27	net	net	ADJ
cet-9881	27	28	framework	framework	NOUN
cet-9881	27	29	.	.	PUNCT
cet-9881	28	1	the	the	DET
cet-9881	28	2	proposed	propose	VERB
cet-9881	28	3	segmentation	segmentation	NOUN
cet-9881	28	4	network	network	NOUN
cet-9881	28	5	is	be	AUX
cet-9881	28	6	able	able	ADJ
cet-9881	28	7	to	to	PART
cet-9881	28	8	automatically	automatically	ADV
cet-9881	28	9	identify	identify	VERB
cet-9881	28	10	tube	tube	NOUN
cet-9881	28	11	regions	region	NOUN
cet-9881	28	12	from	from	ADP
cet-9881	28	13	the	the	DET
cet-9881	28	14	raw	raw	ADJ
cet-9881	28	15	photos	photo	NOUN
cet-9881	28	16	,	,	PUNCT
cet-9881	28	17	by	by	ADP
cet-9881	28	18	which	which	PRON
cet-9881	28	19	the	the	DET
cet-9881	28	20	precise	precise	ADJ
cet-9881	28	21	temperature	temperature	NOUN
cet-9881	28	22	and	and	CCONJ
cet-9881	28	23	shape	shape	NOUN
cet-9881	28	24	of	of	ADP
cet-9881	28	25	the	the	DET
cet-9881	28	26	pyrolysis	pyrolysis	NOUN
cet-9881	28	27	tubes	tube	NOUN
cet-9881	28	28	can	can	AUX
cet-9881	28	29	be	be	AUX
cet-9881	28	30	precisely	precisely	ADV
cet-9881	28	31	monitored	monitor	VERB
cet-9881	28	32	.	.	PUNCT
cet-9881	29	1	the	the	DET
cet-9881	29	2	adaptive	adaptive	ADJ
cet-9881	29	3	k	k	ADV
cet-9881	29	4	-	-	PUNCT
cet-9881	29	5	nearest	near	ADJ
cet-9881	29	6	neighbor	neighbor	NOUN
cet-9881	29	7	(	(	PUNCT
cet-9881	29	8	aknn	aknn	PROPN
cet-9881	29	9	)	)	PUNCT
cet-9881	29	10	(	(	PUNCT
cet-9881	29	11	w.	w.	PROPN
cet-9881	29	12	zhu	zhu	PROPN
cet-9881	29	13	,	,	PUNCT
cet-9881	29	14	2018	2018	NUM
cet-9881	29	15	)	)	PUNCT
cet-9881	29	16	method	method	NOUN
cet-9881	29	17	is	be	AUX
cet-9881	29	18	opted	opt	VERB
cet-9881	29	19	to	to	PART
cet-9881	29	20	draw	draw	VERB
cet-9881	29	21	the	the	DET
cet-9881	29	22	control	control	NOUN
cet-9881	29	23	limits	limit	NOUN
cet-9881	29	24	for	for	ADP
cet-9881	29	25	abnormal	abnormal	ADJ
cet-9881	29	26	conditions	condition	NOUN
cet-9881	29	27	detection	detection	NOUN
cet-9881	29	28	.	.	PUNCT
cet-9881	30	1	2	2	X
cet-9881	30	2	.	.	X
cet-9881	30	3	background	background	NOUN
cet-9881	30	4	in	in	ADP
cet-9881	30	5	the	the	DET
cet-9881	30	6	recent	recent	ADJ
cet-9881	30	7	development	development	NOUN
cet-9881	30	8	of	of	ADP
cet-9881	30	9	deep	deep	ADJ
cet-9881	30	10	learning	learning	NOUN
cet-9881	30	11	,	,	PUNCT
cet-9881	30	12	the	the	DET
cet-9881	30	13	convolutional	convolutional	ADJ
cet-9881	30	14	neural	neural	ADJ
cet-9881	30	15	networks	network	NOUN
cet-9881	30	16	(	(	PUNCT
cet-9881	30	17	cnn	cnn	PROPN
cet-9881	30	18	)	)	PUNCT
cet-9881	30	19	have	have	AUX
cet-9881	30	20	brought	bring	VERB
cet-9881	30	21	huge	huge	ADJ
cet-9881	30	22	breakthroughs	breakthrough	NOUN
cet-9881	30	23	in	in	ADP
cet-9881	30	24	the	the	DET
cet-9881	30	25	image	image	NOUN
cet-9881	30	26	processing	processing	NOUN
cet-9881	30	27	area	area	NOUN
cet-9881	30	28	,	,	PUNCT
cet-9881	30	29	including	include	VERB
cet-9881	30	30	classification	classification	NOUN
cet-9881	30	31	,	,	PUNCT
cet-9881	30	32	detection	detection	NOUN
cet-9881	30	33	and	and	CCONJ
cet-9881	30	34	segmentation	segmentation	NOUN
cet-9881	30	35	.	.	PUNCT
cet-9881	31	1	the	the	DET
cet-9881	31	2	origin	origin	NOUN
cet-9881	31	3	of	of	ADP
cet-9881	31	4	the	the	DET
cet-9881	31	5	cnn	cnn	PROPN
cet-9881	31	6	can	can	AUX
cet-9881	31	7	be	be	AUX
cet-9881	31	8	traced	trace	VERB
cet-9881	31	9	back	back	ADV
cet-9881	31	10	to	to	ADP
cet-9881	31	11	fukushima	fukushima	PROPN
cet-9881	31	12	’s	’s	PART
cet-9881	31	13	“	"	PUNCT
cet-9881	31	14	neocognitron	neocognitron	PROPN
cet-9881	31	15	”	"	PUNCT
cet-9881	31	16	approach	approach	NOUN
cet-9881	31	17	(	(	PUNCT
cet-9881	31	18	k.	k.	PROPN
cet-9881	31	19	fukushima	fukushima	PROPN
cet-9881	31	20	,	,	PUNCT
cet-9881	31	21	1982	1982	NUM
cet-9881	31	22	)	)	PUNCT
cet-9881	31	23	.	.	PUNCT
cet-9881	32	1	in	in	ADP
cet-9881	32	2	the	the	DET
cet-9881	32	3	following	following	ADJ
cet-9881	32	4	years	year	NOUN
cet-9881	32	5	,	,	PUNCT
cet-9881	32	6	an	an	DET
cet-9881	32	7	error	error	NOUN
cet-9881	32	8	-	-	PUNCT
cet-9881	32	9	oriented	orient	VERB
cet-9881	32	10	backpropagation	backpropagation	NOUN
cet-9881	32	11	method	method	NOUN
cet-9881	32	12	was	be	AUX
cet-9881	32	13	introduced	introduce	VERB
cet-9881	32	14	to	to	ADP
cet-9881	32	15	the	the	DET
cet-9881	32	16	convolutional	convolutional	ADJ
cet-9881	32	17	networks	network	NOUN
cet-9881	32	18	by	by	ADP
cet-9881	32	19	rumelhart	rumelhart	NOUN
cet-9881	32	20	et	et	PROPN
cet-9881	32	21	al	al	PROPN
cet-9881	32	22	(	(	PUNCT
cet-9881	32	23	d.	d.	PROPN
cet-9881	32	24	e.	e.	PROPN
cet-9881	32	25	rumelhart	rumelhart	PROPN
cet-9881	32	26	,	,	PUNCT
cet-9881	32	27	1985	1985	NUM
cet-9881	32	28	)	)	PUNCT
cet-9881	32	29	and	and	CCONJ
cet-9881	32	30	lecun	lecun	ADJ
cet-9881	32	31	et	et	PROPN
cet-9881	32	32	al	al	PROPN
cet-9881	32	33	(	(	PUNCT
cet-9881	32	34	y.	y.	PROPN
cet-9881	32	35	lecun	lecun	PROPN
cet-9881	32	36	,	,	PUNCT
cet-9881	32	37	1989	1989	NUM
cet-9881	32	38	)	)	PUNCT
cet-9881	32	39	for	for	ADP
cet-9881	32	40	characters	character	NOUN
cet-9881	32	41	recognition	recognition	NOUN
cet-9881	32	42	.	.	PUNCT
cet-9881	33	1	while	while	SCONJ
cet-9881	33	2	in	in	ADP
cet-9881	33	3	1990s	1990s	NUM
cet-9881	33	4	,	,	PUNCT
cet-9881	33	5	the	the	DET
cet-9881	33	6	raise	raise	NOUN
cet-9881	33	7	of	of	ADP
cet-9881	33	8	support	support	NOUN
cet-9881	33	9	vector	vector	NOUN
cet-9881	33	10	machine	machine	NOUN
cet-9881	33	11	(	(	PUNCT
cet-9881	33	12	svm	svm	PROPN
cet-9881	33	13	)	)	PUNCT
cet-9881	33	14	suppressed	suppress	VERB
cet-9881	33	15	the	the	DET
cet-9881	33	16	development	development	NOUN
cet-9881	33	17	neural	neural	ADJ
cet-9881	33	18	network	network	NOUN
cet-9881	33	19	approaches	approach	NOUN
cet-9881	33	20	.	.	PUNCT
cet-9881	34	1	after	after	ADP
cet-9881	34	2	20	20	NUM
cet-9881	34	3	years	year	NOUN
cet-9881	34	4	of	of	ADP
cet-9881	34	5	deprecation	deprecation	NOUN
cet-9881	34	6	,	,	PUNCT
cet-9881	34	7	the	the	DET
cet-9881	34	8	cnn	cnn	PROPN
cet-9881	34	9	models	model	NOUN
cet-9881	34	10	(	(	PUNCT
cet-9881	34	11	krizhevsky	krizhevsky	NOUN
cet-9881	34	12	,	,	PUNCT
cet-9881	34	13	2012	2012	NUM
cet-9881	34	14	)	)	PUNCT
cet-9881	34	15	beaten	beat	VERB
cet-9881	34	16	the	the	DET
cet-9881	34	17	svm	svm	PROPN
cet-9881	34	18	approaches	approach	NOUN
cet-9881	34	19	in	in	ADP
cet-9881	34	20	the	the	DET
cet-9881	34	21	2012	2012	NUM
cet-9881	34	22	annual	annual	ADJ
cet-9881	34	23	imagenet	imagenet	NOUN
cet-9881	34	24	large	large	ADJ
cet-9881	34	25	scale	scale	NOUN
cet-9881	34	26	visual	visual	ADJ
cet-9881	34	27	recognition	recognition	NOUN
cet-9881	34	28	challenge	challenge	NOUN
cet-9881	34	29	(	(	PUNCT
cet-9881	34	30	ilsvrc	ilsvrc	PROPN
cet-9881	34	31	)	)	PUNCT
cet-9881	34	32	(	(	PUNCT
cet-9881	34	33	j.	j.	PROPN
cet-9881	34	34	deng	deng	PROPN
cet-9881	34	35	,	,	PUNCT
cet-9881	34	36	2009	2009	NUM
cet-9881	34	37	)	)	PUNCT
cet-9881	34	38	.	.	PUNCT
cet-9881	35	1	since	since	SCONJ
cet-9881	35	2	that	that	PRON
cet-9881	35	3	,	,	PUNCT
cet-9881	35	4	more	more	ADV
cet-9881	35	5	powerful	powerful	ADJ
cet-9881	35	6	cnn	cnn	PROPN
cet-9881	35	7	models	model	NOUN
cet-9881	35	8	such	such	ADJ
cet-9881	35	9	as	as	ADP
cet-9881	35	10	vgg	vgg	PROPN
cet-9881	35	11	(	(	PUNCT
cet-9881	35	12	k.	k.	PROPN
cet-9881	35	13	simonyan	simonyan	PROPN
cet-9881	35	14	,	,	PUNCT
cet-9881	35	15	2014	2014	NUM
cet-9881	35	16	)	)	PUNCT
cet-9881	35	17	and	and	CCONJ
cet-9881	35	18	resnet	resnet	PROPN
cet-9881	35	19	(	(	PUNCT
cet-9881	35	20	k.	k.	NOUN
cet-9881	35	21	he	he	PRON
cet-9881	35	22	,	,	PUNCT
cet-9881	35	23	2016	2016	NUM
cet-9881	35	24	)	)	PUNCT
cet-9881	35	25	have	have	AUX
cet-9881	35	26	been	be	AUX
cet-9881	35	27	proposed	propose	VERB
cet-9881	35	28	consecutively	consecutively	ADV
cet-9881	35	29	,	,	PUNCT
cet-9881	35	30	which	which	PRON
cet-9881	35	31	bed	bed	NOUN
cet-9881	35	32	to	to	ADP
cet-9881	35	33	the	the	DET
cet-9881	35	34	boom	boom	NOUN
cet-9881	35	35	of	of	ADP
cet-9881	35	36	the	the	DET
cet-9881	35	37	industry	industry	NOUN
cet-9881	35	38	-	-	PUNCT
cet-9881	35	39	wide	wide	ADJ
cet-9881	35	40	artificial	artificial	ADJ
cet-9881	35	41	intelligence	intelligence	NOUN
cet-9881	35	42	.	.	PUNCT
cet-9881	36	1	a	a	DET
cet-9881	36	2	number	number	NOUN
cet-9881	36	3	of	of	ADP
cet-9881	36	4	applications	application	NOUN
cet-9881	36	5	have	have	AUX
cet-9881	36	6	been	be	AUX
cet-9881	36	7	developed	develop	VERB
cet-9881	36	8	in	in	ADP
cet-9881	36	9	recent	recent	ADJ
cet-9881	36	10	years	year	NOUN
cet-9881	36	11	,	,	PUNCT
cet-9881	36	12	from	from	ADP
cet-9881	36	13	medical	medical	ADJ
cet-9881	36	14	applications	application	NOUN
cet-9881	36	15	(	(	PUNCT
cet-9881	36	16	a.	a.	NOUN
cet-9881	36	17	esteva	esteva	PROPN
cet-9881	36	18	,	,	PUNCT
cet-9881	36	19	2017	2017	NUM
cet-9881	36	20	)	)	PUNCT
cet-9881	36	21	to	to	ADP
cet-9881	36	22	construction	construction	NOUN
cet-9881	36	23	inspection	inspection	NOUN
cet-9881	36	24	(	(	PUNCT
cet-9881	36	25	a.	a.	PROPN
cet-9881	36	26	zhang	zhang	PROPN
cet-9881	36	27	,	,	PUNCT
cet-9881	36	28	2017	2017	NUM
cet-9881	36	29	;	;	PUNCT
cet-9881	36	30	k.	k.	PROPN
cet-9881	36	31	gopalakrishnan	gopalakrishnan	PROPN
cet-9881	36	32	,	,	PUNCT
cet-9881	36	33	2017	2017	NUM
cet-9881	36	34	)	)	PUNCT
cet-9881	36	35	.	.	PUNCT
cet-9881	37	1	figure	figure	VERB
cet-9881	37	2	1	1	NUM
cet-9881	37	3	:	:	PUNCT
cet-9881	37	4	a	a	DET
cet-9881	37	5	convolutional	convolutional	ADJ
cet-9881	37	6	neural	neural	ADJ
cet-9881	37	7	network	network	NOUN
cet-9881	37	8	prototype	prototype	NOUN
cet-9881	37	9	figure	figure	NOUN
cet-9881	37	10	1	1	NUM
cet-9881	37	11	gives	give	VERB
cet-9881	37	12	a	a	DET
cet-9881	37	13	typical	typical	ADJ
cet-9881	37	14	cnn	cnn	PROPN
cet-9881	37	15	model	model	NOUN
cet-9881	37	16	for	for	ADP
cet-9881	37	17	image	image	NOUN
cet-9881	37	18	classification	classification	NOUN
cet-9881	37	19	.	.	PUNCT
cet-9881	38	1	in	in	ADP
cet-9881	38	2	the	the	DET
cet-9881	38	3	cnn	cnn	PROPN
cet-9881	38	4	models	model	NOUN
cet-9881	38	5	,	,	PUNCT
cet-9881	38	6	multiple	multiple	ADJ
cet-9881	38	7	layers	layer	NOUN
cet-9881	38	8	of	of	ADP
cet-9881	38	9	convolution	convolution	NOUN
cet-9881	38	10	and	and	CCONJ
cet-9881	38	11	pooling	pool	VERB
cet-9881	38	12	operations	operation	NOUN
cet-9881	38	13	are	be	AUX
cet-9881	38	14	stacked	stack	VERB
cet-9881	38	15	to	to	PART
cet-9881	38	16	learn	learn	VERB
cet-9881	38	17	the	the	DET
cet-9881	38	18	features	feature	NOUN
cet-9881	38	19	from	from	ADP
cet-9881	38	20	detailed	detailed	ADJ
cet-9881	38	21	pixels	pixel	NOUN
cet-9881	38	22	to	to	ADP
cet-9881	38	23	the	the	DET
cet-9881	38	24	overall	overall	ADJ
cet-9881	38	25	content	content	NOUN
cet-9881	38	26	in	in	ADP
cet-9881	38	27	the	the	DET
cet-9881	38	28	image	image	NOUN
cet-9881	38	29	.	.	PUNCT
cet-9881	39	1	in	in	ADP
cet-9881	39	2	terms	term	NOUN
cet-9881	39	3	of	of	ADP
cet-9881	39	4	the	the	DET
cet-9881	39	5	convolution	convolution	NOUN
cet-9881	39	6	operation	operation	NOUN
cet-9881	39	7	,	,	PUNCT
cet-9881	39	8	it	it	PRON
cet-9881	39	9	uses	use	VERB
cet-9881	39	10	a	a	DET
cet-9881	39	11	number	number	NOUN
cet-9881	39	12	of	of	ADP
cet-9881	39	13	filters	filter	NOUN
cet-9881	39	14	sliding	slide	VERB
cet-9881	39	15	over	over	ADP
cet-9881	39	16	the	the	DET
cet-9881	39	17	input	input	NOUN
cet-9881	39	18	data	datum	NOUN
cet-9881	39	19	and	and	CCONJ
cet-9881	39	20	generating	generate	VERB
cet-9881	39	21	invariant	invariant	ADJ
cet-9881	39	22	local	local	ADJ
cet-9881	39	23	features	feature	NOUN
cet-9881	39	24	.	.	PUNCT
cet-9881	40	1	the	the	DET
cet-9881	40	2	convolution	convolution	NOUN
cet-9881	40	3	operation	operation	NOUN
cet-9881	40	4	offers	offer	VERB
cet-9881	40	5	a	a	DET
cet-9881	40	6	better	well	ADJ
cet-9881	40	7	generalization	generalization	NOUN
cet-9881	40	8	capacity	capacity	NOUN
cet-9881	40	9	by	by	ADP
cet-9881	40	10	taking	take	VERB
cet-9881	40	11	advantage	advantage	NOUN
cet-9881	40	12	of	of	ADP
cet-9881	40	13	local	local	ADJ
cet-9881	40	14	connectivity	connectivity	NOUN
cet-9881	40	15	and	and	CCONJ
cet-9881	40	16	weight	weight	NOUN
cet-9881	40	17	sharing	sharing	NOUN
cet-9881	40	18	to	to	PART
cet-9881	40	19	reduce	reduce	VERB
cet-9881	40	20	the	the	DET
cet-9881	40	21	overfitting	overfitte	VERB
cet-9881	40	22	phenomenon	phenomenon	NOUN
cet-9881	40	23	.	.	PUNCT
cet-9881	41	1	after	after	ADP
cet-9881	41	2	the	the	DET
cet-9881	41	3	convolution	convolution	NOUN
cet-9881	41	4	operation	operation	NOUN
cet-9881	41	5	,	,	PUNCT
cet-9881	41	6	the	the	DET
cet-9881	41	7	subsequent	subsequent	ADJ
cet-9881	41	8	operations	operation	NOUN
cet-9881	41	9	are	be	AUX
cet-9881	41	10	nonlinear	nonlinear	ADJ
cet-9881	41	11	activation	activation	NOUN
cet-9881	41	12	and	and	CCONJ
cet-9881	41	13	pooling	pool	VERB
cet-9881	41	14	operation	operation	NOUN
cet-9881	41	15	to	to	PART
cet-9881	41	16	refine	refine	VERB
cet-9881	41	17	the	the	DET
cet-9881	41	18	learned	learn	VERB
cet-9881	41	19	features	feature	NOUN
cet-9881	41	20	.	.	PUNCT
cet-9881	42	1	by	by	ADP
cet-9881	42	2	repeating	repeat	VERB
cet-9881	42	3	above	above	ADP
cet-9881	42	4	steps	step	NOUN
cet-9881	42	5	,	,	PUNCT
cet-9881	42	6	the	the	DET
cet-9881	42	7	processed	process	VERB
cet-9881	42	8	feature	feature	NOUN
cet-9881	42	9	maps	map	NOUN
cet-9881	42	10	are	be	AUX
cet-9881	42	11	flattened	flatten	VERB
cet-9881	42	12	and	and	CCONJ
cet-9881	42	13	fed	feed	VERB
cet-9881	42	14	into	into	ADP
cet-9881	42	15	the	the	DET
cet-9881	42	16	softmax	softmax	NOUN
cet-9881	42	17	function	function	NOUN
cet-9881	42	18	for	for	ADP
cet-9881	42	19	final	final	ADJ
cet-9881	42	20	classification	classification	NOUN
cet-9881	42	21	prediction	prediction	NOUN
cet-9881	42	22	.	.	PUNCT
cet-9881	43	1	2.1	2.1	NUM
cet-9881	43	2	resnet	resnet	VERB
cet-9881	43	3	the	the	DET
cet-9881	43	4	residual	residual	ADJ
cet-9881	43	5	network	network	NOUN
cet-9881	43	6	(	(	PUNCT
cet-9881	43	7	resnet	resnet	NOUN
cet-9881	43	8	)	)	PUNCT
cet-9881	43	9	,	,	PUNCT
cet-9881	43	10	proposed	propose	VERB
cet-9881	43	11	by	by	ADP
cet-9881	43	12	he	he	PRON
cet-9881	43	13	et	et	PROPN
cet-9881	43	14	al	al	PROPN
cet-9881	43	15	.	.	PUNCT
cet-9881	44	1	(	(	PUNCT
cet-9881	44	2	k.	k.	NOUN
cet-9881	44	3	he	he	PRON
cet-9881	44	4	,	,	PUNCT
cet-9881	44	5	2016	2016	NUM
cet-9881	44	6	)	)	PUNCT
cet-9881	44	7	,	,	PUNCT
cet-9881	44	8	is	be	AUX
cet-9881	44	9	one	one	NUM
cet-9881	44	10	of	of	ADP
cet-9881	44	11	the	the	DET
cet-9881	44	12	most	most	ADV
cet-9881	44	13	widely	widely	ADV
cet-9881	44	14	used	use	VERB
cet-9881	44	15	framework	framework	NOUN
cet-9881	44	16	in	in	ADP
cet-9881	44	17	image	image	NOUN
cet-9881	44	18	processing	processing	NOUN
cet-9881	44	19	area	area	NOUN
cet-9881	44	20	.	.	PUNCT
cet-9881	45	1	in	in	ADP
cet-9881	45	2	the	the	DET
cet-9881	45	3	resnet	resnet	NOUN
cet-9881	45	4	,	,	PUNCT
cet-9881	45	5	the	the	DET
cet-9881	45	6	residual	residual	ADJ
cet-9881	45	7	block	block	NOUN
cet-9881	45	8	is	be	AUX
cet-9881	45	9	developed	develop	VERB
cet-9881	45	10	to	to	PART
cet-9881	45	11	replace	replace	VERB
cet-9881	45	12	the	the	DET
cet-9881	45	13	plain	plain	ADJ
cet-9881	45	14	cnn	cnn	NOUN
cet-9881	45	15	architecture	architecture	NOUN
cet-9881	45	16	.	.	PUNCT
cet-9881	46	1	in	in	ADP
cet-9881	46	2	each	each	DET
cet-9881	46	3	residual	residual	ADJ
cet-9881	46	4	block	block	NOUN
cet-9881	46	5	,	,	PUNCT
cet-9881	46	6	a	a	DET
cet-9881	46	7	skipping	skip	VERB
cet-9881	46	8	connection	connection	NOUN
cet-9881	46	9	is	be	AUX
cet-9881	46	10	utilized	utilize	VERB
cet-9881	46	11	to	to	PART
cet-9881	46	12	provide	provide	VERB
cet-9881	46	13	the	the	DET
cet-9881	46	14	identity	identity	NOUN
cet-9881	46	15	mapping	mapping	NOUN
cet-9881	46	16	of	of	ADP
cet-9881	46	17	the	the	DET
cet-9881	46	18	input	input	NOUN
cet-9881	46	19	,	,	PUNCT
cet-9881	46	20	by	by	ADP
cet-9881	46	21	which	which	PRON
cet-9881	46	22	a	a	DET
cet-9881	46	23	gradient	gradient	ADJ
cet-9881	46	24	highway	highway	NOUN
cet-9881	46	25	is	be	AUX
cet-9881	46	26	created	create	VERB
cet-9881	46	27	to	to	PART
cet-9881	46	28	relieve	relieve	VERB
cet-9881	46	29	the	the	DET
cet-9881	46	30	degradation	degradation	NOUN
cet-9881	46	31	problem	problem	NOUN
cet-9881	46	32	.	.	PUNCT
cet-9881	47	1	in	in	ADP
cet-9881	47	2	terms	term	NOUN
cet-9881	47	3	of	of	ADP
cet-9881	47	4	degradation	degradation	NOUN
cet-9881	47	5	in	in	ADP
cet-9881	47	6	the	the	DET
cet-9881	47	7	cnn	cnn	PROPN
cet-9881	47	8	,	,	PUNCT
cet-9881	47	9	it	it	PRON
cet-9881	47	10	is	be	AUX
cet-9881	47	11	observed	observe	VERB
cet-9881	47	12	in	in	ADP
cet-9881	47	13	training	train	VERB
cet-9881	47	14	a	a	DET
cet-9881	47	15	very	very	ADV
cet-9881	47	16	deep	deep	ADJ
cet-9881	47	17	network	network	NOUN
cet-9881	47	18	that	that	PRON
cet-9881	47	19	the	the	DET
cet-9881	47	20	accuracy	accuracy	NOUN
cet-9881	47	21	gets	get	AUX
cet-9881	47	22	saturated	saturate	VERB
cet-9881	47	23	and	and	CCONJ
cet-9881	47	24	then	then	ADV
cet-9881	47	25	degrades	degrade	VERB
cet-9881	47	26	rapidly	rapidly	ADV
cet-9881	47	27	with	with	ADP
cet-9881	47	28	the	the	DET
cet-9881	47	29	increasing	increasing	NOUN
cet-9881	47	30	of	of	ADP
cet-9881	47	31	network	network	NOUN
cet-9881	47	32	depth	depth	NOUN
cet-9881	47	33	.	.	PUNCT
cet-9881	48	1	with	with	ADP
cet-9881	48	2	the	the	DET
cet-9881	48	3	adoption	adoption	NOUN
cet-9881	48	4	of	of	ADP
cet-9881	48	5	residual	residual	ADJ
cet-9881	48	6	architecture	architecture	NOUN
cet-9881	48	7	,	,	PUNCT
cet-9881	48	8	the	the	DET
cet-9881	48	9	resnet	resnet	NOUN
cet-9881	48	10	outperforms	outperform	VERB
cet-9881	48	11	other	other	ADJ
cet-9881	48	12	plain	plain	ADJ
cet-9881	48	13	networks	network	NOUN
cet-9881	48	14	such	such	ADJ
cet-9881	48	15	as	as	ADP
cet-9881	48	16	vgg	vgg	PROPN
cet-9881	48	17	network	network	NOUN
cet-9881	48	18	(	(	PUNCT
cet-9881	48	19	k.	k.	PROPN
cet-9881	48	20	simonyan	simonyan	PROPN
cet-9881	48	21	,	,	PUNCT
cet-9881	48	22	2014	2014	NUM
cet-9881	48	23	)	)	PUNCT
cet-9881	48	24	,	,	PUNCT
cet-9881	48	25	meanwhile	meanwhile	ADV
cet-9881	48	26	the	the	DET
cet-9881	48	27	amount	amount	NOUN
cet-9881	48	28	of	of	ADP
cet-9881	48	29	parameters	parameter	NOUN
cet-9881	48	30	to	to	PART
cet-9881	48	31	be	be	AUX
cet-9881	48	32	learned	learn	VERB
cet-9881	48	33	in	in	ADP
cet-9881	48	34	the	the	DET
cet-9881	48	35	network	network	NOUN
cet-9881	48	36	is	be	AUX
cet-9881	48	37	dramatically	dramatically	ADV
cet-9881	48	38	reduced	reduce	VERB
cet-9881	48	39	.	.	PUNCT
cet-9881	49	1	692	692	NUM
cet-9881	49	2	2.2	2.2	NUM
cet-9881	49	3	image	image	NOUN
cet-9881	49	4	segmentation	segmentation	NOUN
cet-9881	49	5	models	model	NOUN
cet-9881	49	6	before	before	ADP
cet-9881	49	7	the	the	DET
cet-9881	49	8	raise	raise	NOUN
cet-9881	49	9	of	of	ADP
cet-9881	49	10	dl	dl	PROPN
cet-9881	49	11	approaches	approach	NOUN
cet-9881	49	12	,	,	PUNCT
cet-9881	49	13	image	image	NOUN
cet-9881	49	14	segmentation	segmentation	NOUN
cet-9881	49	15	methods	method	NOUN
cet-9881	49	16	were	be	AUX
cet-9881	49	17	mainly	mainly	ADV
cet-9881	49	18	based	base	VERB
cet-9881	49	19	on	on	ADP
cet-9881	49	20	hand	hand	NOUN
cet-9881	49	21	-	-	PUNCT
cet-9881	49	22	crafted	craft	VERB
cet-9881	49	23	features	feature	NOUN
cet-9881	49	24	combined	combine	VERB
cet-9881	49	25	with	with	ADP
cet-9881	49	26	simple	simple	ADJ
cet-9881	49	27	classifiers	classifier	NOUN
cet-9881	49	28	(	(	PUNCT
cet-9881	49	29	j.	j.	PROPN
cet-9881	49	30	shotton	shotton	PROPN
cet-9881	49	31	,	,	PUNCT
cet-9881	49	32	2009	2009	NUM
cet-9881	49	33	;	;	PUNCT
cet-9881	49	34	z.	z.	PROPN
cet-9881	49	35	tu	tu	PROPN
cet-9881	49	36	,	,	PUNCT
cet-9881	49	37	2010	2010	NUM
cet-9881	49	38	;	;	PUNCT
cet-9881	49	39	b.	b.	PROPN
cet-9881	49	40	fulkerson	fulkerson	PROPN
cet-9881	49	41	,	,	PUNCT
cet-9881	49	42	2009	2009	NUM
cet-9881	49	43	)	)	PUNCT
cet-9881	49	44	.	.	PUNCT
cet-9881	50	1	since	since	SCONJ
cet-9881	50	2	2014	2014	NUM
cet-9881	50	3	,	,	PUNCT
cet-9881	50	4	dl	dl	NOUN
cet-9881	50	5	-	-	PUNCT
cet-9881	50	6	based	base	VERB
cet-9881	50	7	segmentation	segmentation	NOUN
cet-9881	50	8	methods	method	NOUN
cet-9881	50	9	have	have	AUX
cet-9881	50	10	been	be	AUX
cet-9881	50	11	proposed	propose	VERB
cet-9881	50	12	using	use	VERB
cet-9881	50	13	the	the	DET
cet-9881	50	14	powerful	powerful	ADJ
cet-9881	50	15	cnn	cnn	PROPN
cet-9881	50	16	models	model	NOUN
cet-9881	50	17	.	.	PUNCT
cet-9881	51	1	fully	fully	ADV
cet-9881	51	2	convolutional	convolutional	ADJ
cet-9881	51	3	network	network	NOUN
cet-9881	51	4	(	(	PUNCT
cet-9881	51	5	fcn	fcn	PROPN
cet-9881	51	6	)	)	PUNCT
cet-9881	51	7	(	(	PUNCT
cet-9881	51	8	j.	j.	PROPN
cet-9881	51	9	long	long	PROPN
cet-9881	51	10	,	,	PUNCT
cet-9881	51	11	2015	2015	NUM
cet-9881	51	12	)	)	PUNCT
cet-9881	51	13	is	be	AUX
cet-9881	51	14	an	an	DET
cet-9881	51	15	approach	approach	NOUN
cet-9881	51	16	that	that	PRON
cet-9881	51	17	is	be	AUX
cet-9881	51	18	able	able	ADJ
cet-9881	51	19	to	to	PART
cet-9881	51	20	generate	generate	VERB
cet-9881	51	21	dense	dense	ADJ
cet-9881	51	22	class	class	NOUN
cet-9881	51	23	predictions	prediction	NOUN
cet-9881	51	24	for	for	ADP
cet-9881	51	25	each	each	DET
cet-9881	51	26	pixel	pixel	NOUN
cet-9881	51	27	on	on	ADP
cet-9881	51	28	the	the	DET
cet-9881	51	29	image	image	NOUN
cet-9881	51	30	.	.	PUNCT
cet-9881	52	1	in	in	ADP
cet-9881	52	2	the	the	DET
cet-9881	52	3	fcn	fcn	NOUN
cet-9881	52	4	approach	approach	NOUN
cet-9881	52	5	,	,	PUNCT
cet-9881	52	6	a	a	DET
cet-9881	52	7	pre	pre	ADJ
cet-9881	52	8	-	-	ADJ
cet-9881	52	9	trained	train	VERB
cet-9881	52	10	vgg	vgg	NOUN
cet-9881	52	11	network	network	NOUN
cet-9881	52	12	is	be	AUX
cet-9881	52	13	opted	opt	VERB
cet-9881	52	14	as	as	SCONJ
cet-9881	52	15	the	the	DET
cet-9881	52	16	feature	feature	NOUN
cet-9881	52	17	extractor	extractor	NOUN
cet-9881	52	18	for	for	ADP
cet-9881	52	19	image	image	NOUN
cet-9881	52	20	data	datum	NOUN
cet-9881	52	21	and	and	CCONJ
cet-9881	52	22	the	the	DET
cet-9881	52	23	pixel	pixel	ADJ
cet-9881	52	24	-	-	PUNCT
cet-9881	52	25	level	level	NOUN
cet-9881	52	26	predictions	prediction	NOUN
cet-9881	52	27	are	be	AUX
cet-9881	52	28	generated	generate	VERB
cet-9881	52	29	by	by	ADP
cet-9881	52	30	upsampling	upsample	VERB
cet-9881	52	31	and	and	CCONJ
cet-9881	52	32	concatenating	concatenate	VERB
cet-9881	52	33	the	the	DET
cet-9881	52	34	intermediate	intermediate	ADJ
cet-9881	52	35	feature	feature	NOUN
cet-9881	52	36	maps	map	NOUN
cet-9881	52	37	.	.	PUNCT
cet-9881	53	1	coarse	coarse	ADJ
cet-9881	53	2	predictions	prediction	NOUN
cet-9881	53	3	from	from	ADP
cet-9881	53	4	deeper	deep	ADJ
cet-9881	53	5	layers	layer	NOUN
cet-9881	53	6	in	in	ADP
cet-9881	53	7	the	the	DET
cet-9881	53	8	vgg	vgg	ADJ
cet-9881	53	9	net	net	NOUN
cet-9881	53	10	are	be	AUX
cet-9881	53	11	upsampled	upsample	VERB
cet-9881	53	12	by	by	ADP
cet-9881	53	13	bi	bi	ADJ
cet-9881	53	14	-	-	ADJ
cet-9881	53	15	linear	linear	ADJ
cet-9881	53	16	interpolation	interpolation	NOUN
cet-9881	53	17	and	and	CCONJ
cet-9881	53	18	concatenated	concatenate	VERB
cet-9881	53	19	with	with	ADP
cet-9881	53	20	fine	fine	ADJ
cet-9881	53	21	predictions	prediction	NOUN
cet-9881	53	22	from	from	ADP
cet-9881	53	23	lower	low	ADJ
cet-9881	53	24	layers	layer	NOUN
cet-9881	53	25	to	to	PART
cet-9881	53	26	improve	improve	VERB
cet-9881	53	27	the	the	DET
cet-9881	53	28	pixel	pixel	ADJ
cet-9881	53	29	-	-	PUNCT
cet-9881	53	30	level	level	NOUN
cet-9881	53	31	details	detail	NOUN
cet-9881	53	32	.	.	PUNCT
cet-9881	54	1	as	as	ADP
cet-9881	54	2	the	the	DET
cet-9881	54	3	first	first	ADJ
cet-9881	54	4	work	work	NOUN
cet-9881	54	5	using	use	VERB
cet-9881	54	6	cnn	cnn	PROPN
cet-9881	54	7	in	in	ADP
cet-9881	54	8	sematic	sematic	ADJ
cet-9881	54	9	segmentation	segmentation	NOUN
cet-9881	54	10	,	,	PUNCT
cet-9881	54	11	many	many	ADJ
cet-9881	54	12	follow	follow	VERB
cet-9881	54	13	-	-	PUNCT
cet-9881	54	14	up	up	ADP
cet-9881	54	15	works	work	NOUN
cet-9881	54	16	follow	follow	VERB
cet-9881	54	17	the	the	DET
cet-9881	54	18	similar	similar	ADJ
cet-9881	54	19	idea	idea	NOUN
cet-9881	54	20	that	that	PRON
cet-9881	54	21	combines	combine	VERB
cet-9881	54	22	the	the	DET
cet-9881	54	23	high	high	ADJ
cet-9881	54	24	-	-	PUNCT
cet-9881	54	25	level	level	NOUN
cet-9881	54	26	features	feature	NOUN
cet-9881	54	27	with	with	ADP
cet-9881	54	28	the	the	DET
cet-9881	54	29	low	low	ADJ
cet-9881	54	30	-	-	PUNCT
cet-9881	54	31	level	level	NOUN
cet-9881	54	32	features	feature	NOUN
cet-9881	54	33	to	to	PART
cet-9881	54	34	generate	generate	VERB
cet-9881	54	35	high	high	ADJ
cet-9881	54	36	quality	quality	NOUN
cet-9881	54	37	pixel	pixel	ADJ
cet-9881	54	38	-	-	PUNCT
cet-9881	54	39	level	level	NOUN
cet-9881	54	40	segmentations	segmentation	NOUN
cet-9881	54	41	.	.	PUNCT
cet-9881	55	1	3	3	X
cet-9881	55	2	.	.	NUM
cet-9881	55	3	proposed	propose	VERB
cet-9881	55	4	method	method	NOUN
cet-9881	55	5	3.1	3.1	NUM
cet-9881	55	6	photo	photo	NOUN
cet-9881	55	7	segmentation	segmentation	NOUN
cet-9881	55	8	based	base	VERB
cet-9881	55	9	on	on	ADP
cet-9881	55	10	the	the	DET
cet-9881	55	11	image	image	NOUN
cet-9881	55	12	transmitted	transmit	VERB
cet-9881	55	13	from	from	ADP
cet-9881	55	14	the	the	DET
cet-9881	55	15	infrared	infrared	ADJ
cet-9881	55	16	cameras	camera	NOUN
cet-9881	55	17	installed	instal	VERB
cet-9881	55	18	on	on	ADP
cet-9881	55	19	the	the	DET
cet-9881	55	20	furnace	furnace	NOUN
cet-9881	55	21	,	,	PUNCT
cet-9881	55	22	the	the	DET
cet-9881	55	23	most	most	ADV
cet-9881	55	24	important	important	ADJ
cet-9881	55	25	step	step	NOUN
cet-9881	55	26	is	be	AUX
cet-9881	55	27	to	to	PART
cet-9881	55	28	identify	identify	VERB
cet-9881	55	29	and	and	CCONJ
cet-9881	55	30	recognize	recognize	VERB
cet-9881	55	31	the	the	DET
cet-9881	55	32	pyrolysis	pyrolysis	NOUN
cet-9881	55	33	tube	tube	NOUN
cet-9881	55	34	areas	area	NOUN
cet-9881	55	35	from	from	ADP
cet-9881	55	36	the	the	DET
cet-9881	55	37	raw	raw	ADJ
cet-9881	55	38	photos	photo	NOUN
cet-9881	55	39	.	.	PUNCT
cet-9881	56	1	hence	hence	ADV
cet-9881	56	2	,	,	PUNCT
cet-9881	56	3	the	the	DET
cet-9881	56	4	first	first	ADJ
cet-9881	56	5	part	part	NOUN
cet-9881	56	6	of	of	ADP
cet-9881	56	7	the	the	DET
cet-9881	56	8	monitoring	monitoring	NOUN
cet-9881	56	9	framework	framework	NOUN
cet-9881	56	10	is	be	AUX
cet-9881	56	11	a	a	DET
cet-9881	56	12	tube	tube	NOUN
cet-9881	56	13	region	region	NOUN
cet-9881	56	14	segmentation	segmentation	NOUN
cet-9881	56	15	module	module	NOUN
cet-9881	56	16	which	which	PRON
cet-9881	56	17	can	can	AUX
cet-9881	56	18	correctly	correctly	ADV
cet-9881	56	19	identify	identify	VERB
cet-9881	56	20	tube	tube	NOUN
cet-9881	56	21	regions	region	NOUN
cet-9881	56	22	from	from	ADP
cet-9881	56	23	the	the	DET
cet-9881	56	24	bulk	bulk	ADJ
cet-9881	56	25	background	background	NOUN
cet-9881	56	26	.	.	PUNCT
cet-9881	57	1	to	to	PART
cet-9881	57	2	effectively	effectively	ADV
cet-9881	57	3	train	train	VERB
cet-9881	57	4	a	a	DET
cet-9881	57	5	dl	dl	PROPN
cet-9881	57	6	model	model	NOUN
cet-9881	57	7	,	,	PUNCT
cet-9881	57	8	in	in	ADP
cet-9881	57	9	this	this	DET
cet-9881	57	10	work	work	NOUN
cet-9881	57	11	,	,	PUNCT
cet-9881	57	12	a	a	DET
cet-9881	57	13	pre	pre	ADJ
cet-9881	57	14	-	-	ADJ
cet-9881	57	15	trained	train	VERB
cet-9881	57	16	50	50	NUM
cet-9881	57	17	-	-	PUNCT
cet-9881	57	18	layer	layer	NOUN
cet-9881	57	19	resnet	resnet	NOUN
cet-9881	57	20	(	(	PUNCT
cet-9881	57	21	k.	k.	NOUN
cet-9881	57	22	he	he	PRON
cet-9881	57	23	,	,	PUNCT
cet-9881	57	24	2016	2016	NUM
cet-9881	57	25	)	)	PUNCT
cet-9881	57	26	is	be	AUX
cet-9881	57	27	selected	select	VERB
cet-9881	57	28	as	as	ADP
cet-9881	57	29	the	the	DET
cet-9881	57	30	base	base	NOUN
cet-9881	57	31	of	of	ADP
cet-9881	57	32	the	the	DET
cet-9881	57	33	segmentation	segmentation	NOUN
cet-9881	57	34	model	model	NOUN
cet-9881	57	35	by	by	ADP
cet-9881	57	36	considering	consider	VERB
cet-9881	57	37	the	the	DET
cet-9881	57	38	accuracy	accuracy	NOUN
cet-9881	57	39	and	and	CCONJ
cet-9881	57	40	parameter	parameter	NOUN
cet-9881	57	41	size	size	NOUN
cet-9881	57	42	of	of	ADP
cet-9881	57	43	the	the	DET
cet-9881	57	44	model	model	NOUN
cet-9881	57	45	.	.	PUNCT
cet-9881	58	1	based	base	VERB
cet-9881	58	2	on	on	ADP
cet-9881	58	3	the	the	DET
cet-9881	58	4	feature	feature	NOUN
cet-9881	58	5	extracted	extract	VERB
cet-9881	58	6	from	from	ADP
cet-9881	58	7	the	the	DET
cet-9881	58	8	resnet	resnet	NOUN
cet-9881	58	9	,	,	PUNCT
cet-9881	58	10	the	the	DET
cet-9881	58	11	segmentation	segmentation	NOUN
cet-9881	58	12	model	model	NOUN
cet-9881	58	13	implementation	implementation	NOUN
cet-9881	58	14	is	be	AUX
cet-9881	58	15	simply	simply	ADV
cet-9881	58	16	followed	follow	VERB
cet-9881	58	17	long	long	ADV
cet-9881	58	18	’s	’s	PART
cet-9881	58	19	approach	approach	NOUN
cet-9881	58	20	(	(	PUNCT
cet-9881	58	21	j.	j.	PROPN
cet-9881	58	22	long	long	PROPN
cet-9881	58	23	,	,	PUNCT
cet-9881	58	24	2015	2015	NUM
cet-9881	58	25	)	)	PUNCT
cet-9881	58	26	,	,	PUNCT
cet-9881	58	27	where	where	SCONJ
cet-9881	58	28	the	the	DET
cet-9881	58	29	final	final	ADJ
cet-9881	58	30	prediction	prediction	NOUN
cet-9881	58	31	layers	layer	NOUN
cet-9881	58	32	(	(	PUNCT
cet-9881	58	33	the	the	DET
cet-9881	58	34	fully	fully	ADV
cet-9881	58	35	connected	connect	VERB
cet-9881	58	36	layer	layer	NOUN
cet-9881	58	37	and	and	CCONJ
cet-9881	58	38	the	the	DET
cet-9881	58	39	softmax	softmax	NOUN
cet-9881	58	40	layer	layer	NOUN
cet-9881	58	41	)	)	PUNCT
cet-9881	58	42	are	be	AUX
cet-9881	58	43	substituted	substitute	VERB
cet-9881	58	44	with	with	ADP
cet-9881	58	45	convolutional	convolutional	ADJ
cet-9881	58	46	layers	layer	NOUN
cet-9881	58	47	.	.	PUNCT
cet-9881	59	1	while	while	SCONJ
cet-9881	59	2	in	in	ADP
cet-9881	59	3	the	the	DET
cet-9881	59	4	feature	feature	NOUN
cet-9881	59	5	decoding	decode	VERB
cet-9881	59	6	stage	stage	NOUN
cet-9881	59	7	,	,	PUNCT
cet-9881	59	8	it	it	PRON
cet-9881	59	9	is	be	AUX
cet-9881	59	10	noticed	notice	VERB
cet-9881	59	11	that	that	SCONJ
cet-9881	59	12	ronneberger	ronneberger	NOUN
cet-9881	59	13	’s	’s	PART
cet-9881	59	14	u	u	ADJ
cet-9881	59	15	-	-	ADJ
cet-9881	59	16	net	net	ADJ
cet-9881	59	17	approach	approach	NOUN
cet-9881	59	18	(	(	PUNCT
cet-9881	59	19	o.	o.	NOUN
cet-9881	59	20	ronneberger	ronneberger	NOUN
cet-9881	59	21	,	,	PUNCT
cet-9881	59	22	2015	2015	NUM
cet-9881	59	23	)	)	PUNCT
cet-9881	59	24	is	be	AUX
cet-9881	59	25	a	a	DET
cet-9881	59	26	more	more	ADV
cet-9881	59	27	effective	effective	ADJ
cet-9881	59	28	implementation	implementation	NOUN
cet-9881	59	29	,	,	PUNCT
cet-9881	59	30	where	where	SCONJ
cet-9881	59	31	extra	extra	ADJ
cet-9881	59	32	feature	feature	NOUN
cet-9881	59	33	channels	channel	NOUN
cet-9881	59	34	are	be	AUX
cet-9881	59	35	used	use	VERB
cet-9881	59	36	to	to	PART
cet-9881	59	37	allow	allow	VERB
cet-9881	59	38	the	the	DET
cet-9881	59	39	model	model	NOUN
cet-9881	59	40	to	to	PART
cet-9881	59	41	propagate	propagate	VERB
cet-9881	59	42	high	high	ADJ
cet-9881	59	43	resolution	resolution	NOUN
cet-9881	59	44	context	context	NOUN
cet-9881	59	45	information	information	NOUN
cet-9881	59	46	.	.	PUNCT
cet-9881	60	1	a	a	DET
cet-9881	60	2	better	well	ADJ
cet-9881	60	3	segmentation	segmentation	NOUN
cet-9881	60	4	results	result	NOUN
cet-9881	60	5	are	be	AUX
cet-9881	60	6	reported	report	VERB
cet-9881	60	7	using	use	VERB
cet-9881	60	8	u	u	NOUN
cet-9881	60	9	-	-	NOUN
cet-9881	60	10	net	net	ADJ
cet-9881	60	11	,	,	PUNCT
cet-9881	60	12	particularly	particularly	ADV
cet-9881	60	13	on	on	ADP
cet-9881	60	14	cases	case	NOUN
cet-9881	60	15	with	with	ADP
cet-9881	60	16	limited	limited	ADJ
cet-9881	60	17	amount	amount	NOUN
cet-9881	60	18	of	of	ADP
cet-9881	60	19	data	data	NOUN
cet-9881	60	20	samples	sample	NOUN
cet-9881	60	21	.	.	PUNCT
cet-9881	61	1	to	to	PART
cet-9881	61	2	ensure	ensure	VERB
cet-9881	61	3	the	the	DET
cet-9881	61	4	best	good	ADJ
cet-9881	61	5	segmentation	segmentation	NOUN
cet-9881	61	6	performance	performance	NOUN
cet-9881	61	7	,	,	PUNCT
cet-9881	61	8	trial	trial	NOUN
cet-9881	61	9	-	-	PUNCT
cet-9881	61	10	and	and	CCONJ
cet-9881	61	11	-	-	PUNCT
cet-9881	61	12	error	error	NOUN
cet-9881	61	13	method	method	NOUN
cet-9881	61	14	was	be	AUX
cet-9881	61	15	used	use	VERB
cet-9881	61	16	to	to	PART
cet-9881	61	17	confirm	confirm	VERB
cet-9881	61	18	the	the	DET
cet-9881	61	19	feature	feature	NOUN
cet-9881	61	20	layer	layer	NOUN
cet-9881	61	21	selection	selection	NOUN
cet-9881	61	22	,	,	PUNCT
cet-9881	61	23	where	where	SCONJ
cet-9881	61	24	layer	layer	NOUN
cet-9881	61	25	conv1	conv1	NOUN
cet-9881	61	26	,	,	PUNCT
cet-9881	61	27	conv2_3	conv2_3	VERB
cet-9881	61	28	and	and	CCONJ
cet-9881	61	29	conv5_3	conv5_3	ADV
cet-9881	61	30	are	be	AUX
cet-9881	61	31	finally	finally	ADV
cet-9881	61	32	chosen	choose	VERB
cet-9881	61	33	to	to	PART
cet-9881	61	34	provide	provide	VERB
cet-9881	61	35	features	feature	NOUN
cet-9881	61	36	for	for	ADP
cet-9881	61	37	segmentation	segmentation	NOUN
cet-9881	61	38	decoding	decode	VERB
cet-9881	61	39	(	(	PUNCT
cet-9881	61	40	see	see	VERB
cet-9881	61	41	figure	figure	NOUN
cet-9881	61	42	2	2	NUM
cet-9881	61	43	)	)	PUNCT
cet-9881	61	44	.	.	PUNCT
cet-9881	62	1	the	the	DET
cet-9881	62	2	proposed	propose	VERB
cet-9881	62	3	model	model	NOUN
cet-9881	62	4	is	be	AUX
cet-9881	62	5	then	then	ADV
cet-9881	62	6	trained	train	VERB
cet-9881	62	7	on	on	ADP
cet-9881	62	8	collected	collect	VERB
cet-9881	62	9	dataset	dataset	NOUN
cet-9881	62	10	,	,	PUNCT
cet-9881	62	11	which	which	PRON
cet-9881	62	12	is	be	AUX
cet-9881	62	13	generated	generate	VERB
cet-9881	62	14	from	from	ADP
cet-9881	62	15	24	24	NUM
cet-9881	62	16	infrared	infrared	ADJ
cet-9881	62	17	photos	photo	NOUN
cet-9881	62	18	by	by	ADP
cet-9881	62	19	sampling	sample	VERB
cet-9881	62	20	and	and	CCONJ
cet-9881	62	21	augmenting	augment	VERB
cet-9881	62	22	these	these	DET
cet-9881	62	23	photos	photo	NOUN
cet-9881	62	24	.	.	PUNCT
cet-9881	63	1	figure	figure	VERB
cet-9881	63	2	2	2	NUM
cet-9881	63	3	:	:	PUNCT
cet-9881	63	4	the	the	DET
cet-9881	63	5	proposed	propose	VERB
cet-9881	63	6	infrared	infrared	PROPN
cet-9881	63	7	photo	photo	NOUN
cet-9881	63	8	segmentation	segmentation	NOUN
cet-9881	63	9	network	network	NOUN
cet-9881	63	10	3.2	3.2	NUM
cet-9881	63	11	overall	overall	ADJ
cet-9881	63	12	framework	framework	NOUN
cet-9881	63	13	to	to	PART
cet-9881	63	14	establish	establish	VERB
cet-9881	63	15	a	a	DET
cet-9881	63	16	comprehensive	comprehensive	ADJ
cet-9881	63	17	monitoring	monitoring	NOUN
cet-9881	63	18	framework	framework	NOUN
cet-9881	63	19	,	,	PUNCT
cet-9881	63	20	the	the	DET
cet-9881	63	21	starting	starting	NOUN
cet-9881	63	22	point	point	NOUN
cet-9881	63	23	of	of	ADP
cet-9881	63	24	this	this	DET
cet-9881	63	25	work	work	NOUN
cet-9881	63	26	is	be	AUX
cet-9881	63	27	the	the	DET
cet-9881	63	28	raw	raw	ADJ
cet-9881	63	29	temperature	temperature	NOUN
cet-9881	63	30	measurement	measurement	NOUN
cet-9881	63	31	matrix	matrix	NOUN
cet-9881	63	32	(	(	PUNCT
cet-9881	63	33	denoted	denote	VERB
cet-9881	63	34	as	as	ADP
cet-9881	63	35	)	)	PUNCT
cet-9881	63	36	from	from	ADP
cet-9881	63	37	the	the	DET
cet-9881	63	38	infrared	infrared	ADJ
cet-9881	63	39	camera	camera	NOUN
cet-9881	63	40	.	.	PUNCT
cet-9881	64	1	the	the	DET
cet-9881	64	2	rgb	rgb	PROPN
cet-9881	64	3	-	-	PUNCT
cet-9881	64	4	colored	colored	ADJ
cet-9881	64	5	infrared	infrared	ADJ
cet-9881	64	6	photos	photo	NOUN
cet-9881	64	7	can	can	AUX
cet-9881	64	8	be	be	AUX
cet-9881	64	9	generated	generate	VERB
cet-9881	64	10	from	from	ADP
cet-9881	64	11	the	the	DET
cet-9881	64	12	temperature	temperature	NOUN
cet-9881	64	13	matrix	matrix	NOUN
cet-9881	64	14	,	,	PUNCT
cet-9881	64	15	from	from	ADP
cet-9881	64	16	which	which	PRON
cet-9881	64	17	the	the	DET
cet-9881	64	18	proposed	propose	VERB
cet-9881	64	19	image	image	NOUN
cet-9881	64	20	segmentation	segmentation	NOUN
cet-9881	64	21	model	model	NOUN
cet-9881	64	22	can	can	AUX
cet-9881	64	23	identify	identify	VERB
cet-9881	64	24	the	the	DET
cet-9881	64	25	tube	tube	NOUN
cet-9881	64	26	regions	region	NOUN
cet-9881	64	27	from	from	ADP
cet-9881	64	28	the	the	DET
cet-9881	64	29	photos	photo	NOUN
cet-9881	64	30	.	.	PUNCT
cet-9881	65	1	the	the	DET
cet-9881	65	2	predicted	predict	VERB
cet-9881	65	3	tube	tube	NOUN
cet-9881	65	4	regions	region	NOUN
cet-9881	65	5	are	be	AUX
cet-9881	65	6	expressed	express	VERB
cet-9881	65	7	by	by	ADP
cet-9881	65	8	a	a	DET
cet-9881	65	9	binary	binary	ADJ
cet-9881	65	10	matrix	matrix	NOUN
cet-9881	65	11	,	,	PUNCT
cet-9881	65	12	at	at	ADP
cet-9881	65	13	time	time	NOUN
cet-9881	65	14	step	step	PROPN
cet-9881	65	15	t	t	PROPN
cet-9881	65	16	,	,	PUNCT
cet-9881	65	17	where	where	SCONJ
cet-9881	65	18	0	0	NUM
cet-9881	65	19	represents	represent	VERB
cet-9881	65	20	the	the	DET
cet-9881	65	21	background	background	NOUN
cet-9881	65	22	and	and	CCONJ
cet-9881	65	23	1	1	NUM
cet-9881	65	24	represents	represent	VERB
cet-9881	65	25	the	the	DET
cet-9881	65	26	targeted	target	VERB
cet-9881	65	27	tube	tube	NOUN
cet-9881	65	28	areas	area	NOUN
cet-9881	65	29	.	.	PUNCT
cet-9881	66	1	693	693	NUM
cet-9881	66	2	for	for	ADP
cet-9881	66	3	the	the	DET
cet-9881	66	4	shape	shape	NOUN
cet-9881	66	5	monitoring	monitoring	NOUN
cet-9881	66	6	,	,	PUNCT
cet-9881	66	7	moving	move	VERB
cet-9881	66	8	window	window	NOUN
cet-9881	66	9	approach	approach	NOUN
cet-9881	66	10	is	be	AUX
cet-9881	66	11	utilized	utilize	VERB
cet-9881	66	12	to	to	PART
cet-9881	66	13	continuously	continuously	ADV
cet-9881	66	14	store	store	VERB
cet-9881	66	15	tube	tube	NOUN
cet-9881	66	16	region	region	NOUN
cet-9881	66	17	predictions	prediction	NOUN
cet-9881	66	18	from	from	ADP
cet-9881	66	19	previous	previous	ADJ
cet-9881	66	20	time	time	NOUN
cet-9881	66	21	steps	step	NOUN
cet-9881	66	22	,	,	PUNCT
cet-9881	66	23	where	where	SCONJ
cet-9881	66	24	the	the	DET
cet-9881	66	25	moving	move	VERB
cet-9881	66	26	window	window	NOUN
cet-9881	66	27	is	be	AUX
cet-9881	66	28	denoted	denote	VERB
cet-9881	66	29	as	as	ADP
cet-9881	66	30	.	.	PUNCT
cet-9881	67	1	thus	thus	ADV
cet-9881	67	2	,	,	PUNCT
cet-9881	67	3	the	the	DET
cet-9881	67	4	shape	shape	NOUN
cet-9881	67	5	changing	change	VERB
cet-9881	67	6	over	over	ADP
cet-9881	67	7	time	time	NOUN
cet-9881	67	8	can	can	AUX
cet-9881	67	9	be	be	AUX
cet-9881	67	10	simply	simply	ADV
cet-9881	67	11	calculated	calculate	VERB
cet-9881	67	12	by	by	ADP
cet-9881	67	13	the	the	DET
cet-9881	67	14	difference	difference	NOUN
cet-9881	67	15	between	between	ADP
cet-9881	67	16	and	and	CCONJ
cet-9881	67	17	current	current	ADJ
cet-9881	67	18	prediction	prediction	NOUN
cet-9881	67	19	.	.	PUNCT
cet-9881	68	1	the	the	DET
cet-9881	68	2	sum	sum	NOUN
cet-9881	68	3	of	of	ADP
cet-9881	68	4	the	the	DET
cet-9881	68	5	squared	square	VERB
cet-9881	68	6	error	error	NOUN
cet-9881	68	7	(	(	PUNCT
cet-9881	68	8	sse	sse	NOUN
cet-9881	68	9	)	)	PUNCT
cet-9881	68	10	can	can	AUX
cet-9881	68	11	be	be	AUX
cet-9881	68	12	used	use	VERB
cet-9881	68	13	to	to	PART
cet-9881	68	14	characterize	characterize	VERB
cet-9881	68	15	this	this	DET
cet-9881	68	16	difference	difference	NOUN
cet-9881	68	17	.	.	PUNCT
cet-9881	69	1	,	,	PUNCT
cet-9881	69	2	=	=	SYM
cet-9881	70	1	−	−	PROPN
cet-9881	70	2	(	(	PUNCT
cet-9881	70	3	1	1	NUM
cet-9881	70	4	)	)	PUNCT
cet-9881	70	5	besides	besides	SCONJ
cet-9881	70	6	the	the	DET
cet-9881	70	7	shape	shape	NOUN
cet-9881	70	8	monitoring	monitoring	NOUN
cet-9881	70	9	,	,	PUNCT
cet-9881	70	10	the	the	DET
cet-9881	70	11	surface	surface	NOUN
cet-9881	70	12	temperature	temperature	NOUN
cet-9881	70	13	also	also	ADV
cet-9881	70	14	be	be	AUX
cet-9881	70	15	calculated	calculate	VERB
cet-9881	70	16	as	as	SCONJ
cet-9881	70	17	follows	follow	VERB
cet-9881	70	18	:	:	PUNCT
cet-9881	70	19	=	=	SYM
cet-9881	70	20	⊙	⊙	X
cet-9881	70	21	(	(	PUNCT
cet-9881	70	22	2	2	NUM
cet-9881	70	23	)	)	PUNCT
cet-9881	70	24	where	where	SCONJ
cet-9881	70	25	⊙	⊙	PROPN
cet-9881	70	26	denotes	denote	VERB
cet-9881	70	27	the	the	DET
cet-9881	70	28	component	component	NOUN
cet-9881	70	29	-	-	PUNCT
cet-9881	70	30	wise	wise	ADJ
cet-9881	70	31	multiplication	multiplication	NOUN
cet-9881	70	32	.	.	PUNCT
cet-9881	71	1	to	to	PART
cet-9881	71	2	improve	improve	VERB
cet-9881	71	3	the	the	DET
cet-9881	71	4	robustness	robustness	NOUN
cet-9881	71	5	of	of	ADP
cet-9881	71	6	the	the	DET
cet-9881	71	7	model	model	NOUN
cet-9881	71	8	,	,	PUNCT
cet-9881	71	9	the	the	DET
cet-9881	71	10	moving	move	VERB
cet-9881	71	11	window	window	NOUN
cet-9881	71	12	prediction	prediction	NOUN
cet-9881	71	13	,	,	PUNCT
cet-9881	71	14	is	be	AUX
cet-9881	71	15	used	use	VERB
cet-9881	71	16	instead	instead	ADV
cet-9881	71	17	of	of	ADP
cet-9881	71	18	the	the	DET
cet-9881	71	19	current	current	ADJ
cet-9881	71	20	prediction	prediction	NOUN
cet-9881	71	21	,	,	PUNCT
cet-9881	71	22	,	,	PUNCT
cet-9881	71	23	in	in	ADP
cet-9881	71	24	order	order	NOUN
cet-9881	71	25	to	to	PART
cet-9881	71	26	reduce	reduce	VERB
cet-9881	71	27	the	the	DET
cet-9881	71	28	noise	noise	NOUN
cet-9881	71	29	level	level	NOUN
cet-9881	71	30	.	.	PUNCT
cet-9881	72	1	after	after	ADP
cet-9881	72	2	obtaining	obtain	VERB
cet-9881	72	3	the	the	DET
cet-9881	72	4	tube	tube	NOUN
cet-9881	72	5	surface	surface	NOUN
cet-9881	72	6	temperature	temperature	NOUN
cet-9881	72	7	information	information	NOUN
cet-9881	72	8	,	,	PUNCT
cet-9881	72	9	two	two	NUM
cet-9881	72	10	important	important	ADJ
cet-9881	72	11	measurements	measurement	NOUN
cet-9881	72	12	are	be	AUX
cet-9881	72	13	monitored	monitor	VERB
cet-9881	72	14	in	in	ADP
cet-9881	72	15	this	this	DET
cet-9881	72	16	work	work	NOUN
cet-9881	72	17	,	,	PUNCT
cet-9881	72	18	the	the	DET
cet-9881	72	19	average	average	ADJ
cet-9881	72	20	temperature	temperature	NOUN
cet-9881	72	21	and	and	CCONJ
cet-9881	72	22	the	the	DET
cet-9881	72	23	maximum	maximum	ADJ
cet-9881	72	24	temperature	temperature	NOUN
cet-9881	72	25	on	on	ADP
cet-9881	72	26	the	the	DET
cet-9881	72	27	tube	tube	NOUN
cet-9881	72	28	surface	surface	NOUN
cet-9881	72	29	,	,	PUNCT
cet-9881	72	30	which	which	PRON
cet-9881	72	31	provide	provide	VERB
cet-9881	72	32	different	different	ADJ
cet-9881	72	33	scales	scale	NOUN
cet-9881	72	34	of	of	ADP
cet-9881	72	35	statistical	statistical	ADJ
cet-9881	72	36	information	information	NOUN
cet-9881	72	37	from	from	ADP
cet-9881	72	38	the	the	DET
cet-9881	72	39	local	local	ADJ
cet-9881	72	40	to	to	ADP
cet-9881	72	41	the	the	DET
cet-9881	72	42	overall	overall	ADJ
cet-9881	72	43	conditions	condition	NOUN
cet-9881	72	44	.	.	PUNCT
cet-9881	73	1	based	base	VERB
cet-9881	73	2	on	on	ADP
cet-9881	73	3	the	the	DET
cet-9881	73	4	calculated	calculate	VERB
cet-9881	73	5	temperature	temperature	NOUN
cet-9881	73	6	and	and	CCONJ
cet-9881	73	7	shape	shape	NOUN
cet-9881	73	8	changing	change	VERB
cet-9881	73	9	information	information	NOUN
cet-9881	73	10	from	from	ADP
cet-9881	73	11	the	the	DET
cet-9881	73	12	processed	process	VERB
cet-9881	73	13	infrared	infrared	ADJ
cet-9881	73	14	photos	photo	NOUN
cet-9881	73	15	,	,	PUNCT
cet-9881	73	16	the	the	DET
cet-9881	73	17	overall	overall	ADJ
cet-9881	73	18	performance	performance	NOUN
cet-9881	73	19	can	can	AUX
cet-9881	73	20	be	be	AUX
cet-9881	73	21	monitored	monitor	VERB
cet-9881	73	22	by	by	ADP
cet-9881	73	23	multivariate	multivariate	NOUN
cet-9881	73	24	statistic	statistic	NOUN
cet-9881	73	25	methods	method	NOUN
cet-9881	73	26	.	.	PUNCT
cet-9881	74	1	due	due	ADP
cet-9881	74	2	to	to	ADP
cet-9881	74	3	the	the	DET
cet-9881	74	4	existence	existence	NOUN
cet-9881	74	5	of	of	ADP
cet-9881	74	6	coking	coking	NOUN
cet-9881	74	7	in	in	ADP
cet-9881	74	8	the	the	DET
cet-9881	74	9	pyrolysis	pyrolysis	NOUN
cet-9881	74	10	tubes	tube	NOUN
cet-9881	74	11	,	,	PUNCT
cet-9881	74	12	the	the	DET
cet-9881	74	13	operation	operation	NOUN
cet-9881	74	14	condition	condition	NOUN
cet-9881	74	15	can	can	AUX
cet-9881	74	16	be	be	AUX
cet-9881	74	17	slowly	slowly	ADV
cet-9881	74	18	drifting	drift	VERB
cet-9881	74	19	.	.	PUNCT
cet-9881	75	1	hence	hence	ADV
cet-9881	75	2	,	,	PUNCT
cet-9881	75	3	in	in	ADP
cet-9881	75	4	this	this	DET
cet-9881	75	5	work	work	NOUN
cet-9881	75	6	,	,	PUNCT
cet-9881	75	7	the	the	DET
cet-9881	75	8	adaptive	adaptive	ADJ
cet-9881	75	9	k	k	ADV
cet-9881	75	10	-	-	PUNCT
cet-9881	75	11	nearest	near	ADJ
cet-9881	75	12	neighbor	neighbor	NOUN
cet-9881	75	13	(	(	PUNCT
cet-9881	75	14	aknn	aknn	PROPN
cet-9881	75	15	)	)	PUNCT
cet-9881	75	16	(	(	PUNCT
cet-9881	75	17	w.	w.	PROPN
cet-9881	75	18	zhu	zhu	PROPN
cet-9881	75	19	,	,	PUNCT
cet-9881	75	20	2018	2018	NUM
cet-9881	75	21	)	)	PUNCT
cet-9881	75	22	is	be	AUX
cet-9881	75	23	chosen	choose	VERB
cet-9881	75	24	to	to	PART
cet-9881	75	25	draw	draw	VERB
cet-9881	75	26	the	the	DET
cet-9881	75	27	thresholds	threshold	NOUN
cet-9881	75	28	for	for	ADP
cet-9881	75	29	determination	determination	NOUN
cet-9881	75	30	of	of	ADP
cet-9881	75	31	normal	normal	ADJ
cet-9881	75	32	and	and	CCONJ
cet-9881	75	33	faulty	faulty	ADJ
cet-9881	75	34	conditions	condition	NOUN
cet-9881	75	35	.	.	PUNCT
cet-9881	76	1	figure	figure	NOUN
cet-9881	76	2	3	3	NUM
cet-9881	76	3	illustrates	illustrate	VERB
cet-9881	76	4	the	the	DET
cet-9881	76	5	overall	overall	ADJ
cet-9881	76	6	monitoring	monitoring	NOUN
cet-9881	76	7	framework	framework	NOUN
cet-9881	76	8	.	.	PUNCT
cet-9881	77	1	figure	figure	VERB
cet-9881	77	2	3	3	NUM
cet-9881	77	3	:	:	PUNCT
cet-9881	77	4	the	the	DET
cet-9881	77	5	overall	overall	ADJ
cet-9881	77	6	monitoring	monitoring	NOUN
cet-9881	77	7	framework	framework	NOUN
cet-9881	77	8	for	for	ADP
cet-9881	77	9	both	both	CCONJ
cet-9881	77	10	shape	shape	NOUN
cet-9881	77	11	and	and	CCONJ
cet-9881	77	12	temperature	temperature	NOUN
cet-9881	77	13	monitoring	monitoring	NOUN
cet-9881	77	14	.	.	PUNCT
cet-9881	78	1	4	4	X
cet-9881	78	2	.	.	NUM
cet-9881	78	3	results	result	NOUN
cet-9881	78	4	and	and	CCONJ
cet-9881	78	5	discussion	discussion	NOUN
cet-9881	78	6	the	the	DET
cet-9881	78	7	segmentation	segmentation	NOUN
cet-9881	78	8	model	model	NOUN
cet-9881	78	9	is	be	AUX
cet-9881	78	10	implemented	implement	VERB
cet-9881	78	11	in	in	ADP
cet-9881	78	12	tensorflow	tensorflow	NOUN
cet-9881	78	13	(	(	PUNCT
cet-9881	78	14	m.	m.	NOUN
cet-9881	78	15	abadi	abadi	PROPN
cet-9881	78	16	,	,	PUNCT
cet-9881	78	17	2016	2016	NUM
cet-9881	78	18	)	)	PUNCT
cet-9881	78	19	in	in	ADP
cet-9881	78	20	python	python	NOUN
cet-9881	78	21	3.6	3.6	NUM
cet-9881	78	22	environment	environment	NOUN
cet-9881	78	23	.	.	PUNCT
cet-9881	79	1	after	after	ADP
cet-9881	79	2	training	train	VERB
cet-9881	79	3	on	on	ADP
cet-9881	79	4	a	a	DET
cet-9881	79	5	single	single	ADJ
cet-9881	79	6	graphics	graphic	NOUN
cet-9881	79	7	processing	processing	NOUN
cet-9881	79	8	unit	unit	NOUN
cet-9881	79	9	(	(	PUNCT
cet-9881	79	10	gpu	gpu	PROPN
cet-9881	79	11	)	)	PUNCT
cet-9881	79	12	,	,	PUNCT
cet-9881	79	13	the	the	DET
cet-9881	79	14	results	result	NOUN
cet-9881	79	15	of	of	ADP
cet-9881	79	16	the	the	DET
cet-9881	79	17	segmentation	segmentation	NOUN
cet-9881	79	18	network	network	NOUN
cet-9881	79	19	can	can	AUX
cet-9881	79	20	be	be	AUX
cet-9881	79	21	visualized	visualize	VERB
cet-9881	79	22	in	in	ADP
cet-9881	79	23	figure	figure	NOUN
cet-9881	79	24	4	4	NUM
cet-9881	79	25	,	,	PUNCT
cet-9881	79	26	where	where	SCONJ
cet-9881	79	27	tube	tube	NOUN
cet-9881	79	28	regions	region	NOUN
cet-9881	79	29	can	can	AUX
cet-9881	79	30	be	be	AUX
cet-9881	79	31	clearly	clearly	ADV
cet-9881	79	32	segmented	segment	VERB
cet-9881	79	33	from	from	ADP
cet-9881	79	34	the	the	DET
cet-9881	79	35	raw	raw	ADJ
cet-9881	79	36	infrared	infrared	ADJ
cet-9881	79	37	photos	photo	NOUN
cet-9881	79	38	.	.	PUNCT
cet-9881	80	1	the	the	DET
cet-9881	80	2	processing	processing	NOUN
cet-9881	80	3	time	time	NOUN
cet-9881	80	4	for	for	ADP
cet-9881	80	5	a	a	DET
cet-9881	80	6	set	set	NOUN
cet-9881	80	7	of	of	ADP
cet-9881	80	8	6	6	NUM
cet-9881	80	9	infrared	infrared	ADJ
cet-9881	80	10	photos	photo	NOUN
cet-9881	80	11	is	be	AUX
cet-9881	80	12	less	less	ADJ
cet-9881	80	13	than	than	ADP
cet-9881	80	14	2	2	NUM
cet-9881	80	15	seconds	second	NOUN
cet-9881	80	16	with	with	ADP
cet-9881	80	17	the	the	DET
cet-9881	80	18	assistance	assistance	NOUN
cet-9881	80	19	of	of	ADP
cet-9881	80	20	a	a	DET
cet-9881	80	21	gpu	gpu	NOUN
cet-9881	80	22	.	.	PUNCT
cet-9881	81	1	using	use	VERB
cet-9881	81	2	the	the	DET
cet-9881	81	3	trained	train	VERB
cet-9881	81	4	segmentation	segmentation	NOUN
cet-9881	81	5	network	network	NOUN
cet-9881	81	6	,	,	PUNCT
cet-9881	81	7	then	then	ADV
cet-9881	81	8	the	the	DET
cet-9881	81	9	key	key	ADJ
cet-9881	81	10	measurements	measurement	NOUN
cet-9881	81	11	including	include	VERB
cet-9881	81	12	the	the	DET
cet-9881	81	13	shape	shape	NOUN
cet-9881	81	14	changing	change	VERB
cet-9881	81	15	and	and	CCONJ
cet-9881	81	16	temperature	temperature	NOUN
cet-9881	81	17	information	information	NOUN
cet-9881	81	18	on	on	ADP
cet-9881	81	19	the	the	DET
cet-9881	81	20	tube	tube	NOUN
cet-9881	81	21	surface	surface	NOUN
cet-9881	81	22	can	can	AUX
cet-9881	81	23	be	be	AUX
cet-9881	81	24	extracted	extract	VERB
cet-9881	81	25	(	(	PUNCT
cet-9881	81	26	see	see	VERB
cet-9881	81	27	figure	figure	NOUN
cet-9881	81	28	5a	5a	NUM
cet-9881	81	29	-	-	PUNCT
cet-9881	81	30	c	c	NOUN
cet-9881	81	31	)	)	PUNCT
cet-9881	81	32	.	.	PUNCT
cet-9881	82	1	to	to	PART
cet-9881	82	2	automate	automate	VERB
cet-9881	82	3	the	the	DET
cet-9881	82	4	abnormal	abnormal	ADJ
cet-9881	82	5	detection	detection	NOUN
cet-9881	82	6	process	process	NOUN
cet-9881	82	7	,	,	PUNCT
cet-9881	82	8	the	the	DET
cet-9881	82	9	aknn	aknn	NOUN
cet-9881	82	10	method	method	NOUN
cet-9881	82	11	can	can	AUX
cet-9881	82	12	be	be	AUX
cet-9881	82	13	implemented	implement	VERB
cet-9881	82	14	by	by	ADP
cet-9881	82	15	training	train	VERB
cet-9881	82	16	it	it	PRON
cet-9881	82	17	with	with	ADP
cet-9881	82	18	the	the	DET
cet-9881	82	19	first	first	ADJ
cet-9881	82	20	50	50	NUM
cet-9881	82	21	data	datum	NOUN
cet-9881	82	22	samples	sample	NOUN
cet-9881	82	23	.	.	PUNCT
cet-9881	83	1	the	the	DET
cet-9881	83	2	determined	determined	ADJ
cet-9881	83	3	threshold	threshold	NOUN
cet-9881	83	4	can	can	AUX
cet-9881	83	5	then	then	ADV
cet-9881	83	6	be	be	AUX
cet-9881	83	7	used	use	VERB
cet-9881	83	8	to	to	PART
cet-9881	83	9	monitor	monitor	VERB
cet-9881	83	10	the	the	DET
cet-9881	83	11	following	follow	VERB
cet-9881	83	12	100	100	NUM
cet-9881	83	13	samples	sample	NOUN
cet-9881	83	14	as	as	ADP
cet-9881	83	15	testing	testing	NOUN
cet-9881	83	16	.	.	PUNCT
cet-9881	84	1	the	the	DET
cet-9881	84	2	monitoring	monitoring	NOUN
cet-9881	84	3	results	result	NOUN
cet-9881	84	4	are	be	AUX
cet-9881	84	5	summarized	summarize	VERB
cet-9881	84	6	in	in	ADP
cet-9881	84	7	figure	figure	NOUN
cet-9881	84	8	5d	5d	NUM
cet-9881	84	9	.	.	PUNCT
cet-9881	85	1	694	694	NUM
cet-9881	85	2	from	from	ADP
cet-9881	85	3	the	the	DET
cet-9881	85	4	monitoring	monitoring	NOUN
cet-9881	85	5	results	result	NOUN
cet-9881	85	6	,	,	PUNCT
cet-9881	85	7	a	a	DET
cet-9881	85	8	huge	huge	ADJ
cet-9881	85	9	peak	peak	NOUN
cet-9881	85	10	can	can	AUX
cet-9881	85	11	be	be	AUX
cet-9881	85	12	noticed	notice	VERB
cet-9881	85	13	at	at	ADP
cet-9881	85	14	time	time	NOUN
cet-9881	85	15	step	step	NOUN
cet-9881	85	16	125	125	NUM
cet-9881	85	17	.	.	PUNCT
cet-9881	86	1	the	the	DET
cet-9881	86	2	abnormal	abnormal	ADJ
cet-9881	86	3	condition	condition	NOUN
cet-9881	86	4	detected	detect	VERB
cet-9881	86	5	at	at	ADP
cet-9881	86	6	this	this	DET
cet-9881	86	7	time	time	NOUN
cet-9881	86	8	step	step	NOUN
cet-9881	86	9	was	be	AUX
cet-9881	86	10	validated	validate	VERB
cet-9881	86	11	with	with	ADP
cet-9881	86	12	plant	plant	NOUN
cet-9881	86	13	engineer	engineer	NOUN
cet-9881	86	14	that	that	SCONJ
cet-9881	86	15	the	the	DET
cet-9881	86	16	root	root	NOUN
cet-9881	86	17	cause	cause	NOUN
cet-9881	86	18	of	of	ADP
cet-9881	86	19	this	this	DET
cet-9881	86	20	condition	condition	NOUN
cet-9881	86	21	is	be	AUX
cet-9881	86	22	the	the	DET
cet-9881	86	23	improper	improper	ADJ
cet-9881	86	24	flame	flame	NOUN
cet-9881	86	25	control	control	NOUN
cet-9881	86	26	sending	send	VERB
cet-9881	86	27	the	the	DET
cet-9881	86	28	flame	flame	NOUN
cet-9881	86	29	too	too	ADV
cet-9881	86	30	high	high	ADJ
cet-9881	86	31	and	and	CCONJ
cet-9881	86	32	wrapping	wrap	VERB
cet-9881	86	33	around	around	ADP
cet-9881	86	34	the	the	DET
cet-9881	86	35	tube	tube	NOUN
cet-9881	86	36	.	.	PUNCT
cet-9881	87	1	therefore	therefore	ADV
cet-9881	87	2	,	,	PUNCT
cet-9881	87	3	through	through	ADP
cet-9881	87	4	the	the	DET
cet-9881	87	5	brief	brief	ADJ
cet-9881	87	6	testing	testing	NOUN
cet-9881	87	7	of	of	ADP
cet-9881	87	8	our	our	PRON
cet-9881	87	9	framework	framework	NOUN
cet-9881	87	10	,	,	PUNCT
cet-9881	87	11	the	the	DET
cet-9881	87	12	proposed	propose	VERB
cet-9881	87	13	monitoring	monitoring	NOUN
cet-9881	87	14	framework	framework	NOUN
cet-9881	87	15	works	work	VERB
cet-9881	87	16	well	well	ADV
cet-9881	87	17	using	use	VERB
cet-9881	87	18	the	the	DET
cet-9881	87	19	infrared	infrared	ADJ
cet-9881	87	20	cameras	camera	NOUN
cet-9881	87	21	.	.	PUNCT
cet-9881	88	1	a	a	DET
cet-9881	88	2	b	b	NUM
cet-9881	88	3	figure	figure	NOUN
cet-9881	88	4	4	4	NUM
cet-9881	88	5	:	:	PUNCT
cet-9881	88	6	a	a	DET
cet-9881	88	7	demonstration	demonstration	NOUN
cet-9881	88	8	of	of	ADP
cet-9881	88	9	the	the	DET
cet-9881	88	10	segmentation	segmentation	NOUN
cet-9881	88	11	results	result	NOUN
cet-9881	88	12	.	.	PUNCT
cet-9881	89	1	(	(	PUNCT
cet-9881	89	2	a	a	X
cet-9881	89	3	)	)	PUNCT
cet-9881	89	4	the	the	DET
cet-9881	89	5	raw	raw	ADJ
cet-9881	89	6	infrared	infrared	ADJ
cet-9881	89	7	photos	photo	NOUN
cet-9881	89	8	.	.	PUNCT
cet-9881	90	1	(	(	PUNCT
cet-9881	90	2	b	b	X
cet-9881	90	3	)	)	PUNCT
cet-9881	90	4	the	the	DET
cet-9881	90	5	segmentation	segmentation	NOUN
cet-9881	90	6	results	result	VERB
cet-9881	90	7	.	.	PUNCT
cet-9881	91	1	the	the	DET
cet-9881	91	2	tube	tube	NOUN
cet-9881	91	3	area	area	NOUN
cet-9881	91	4	is	be	AUX
cet-9881	91	5	colored	color	VERB
cet-9881	91	6	in	in	ADP
cet-9881	91	7	yellow	yellow	ADJ
cet-9881	91	8	and	and	CCONJ
cet-9881	91	9	the	the	DET
cet-9881	91	10	background	background	NOUN
cet-9881	91	11	is	be	AUX
cet-9881	91	12	colored	color	VERB
cet-9881	91	13	in	in	ADP
cet-9881	91	14	purple	purple	NOUN
cet-9881	91	15	.	.	PUNCT
cet-9881	92	1	a	a	DET
cet-9881	92	2	b	b	X
cet-9881	92	3	c	c	NOUN
cet-9881	92	4	d	d	NOUN
cet-9881	92	5	figure	figure	NOUN
cet-9881	92	6	5	5	NUM
cet-9881	92	7	:	:	PUNCT
cet-9881	92	8	monitoring	monitor	VERB
cet-9881	92	9	results	result	NOUN
cet-9881	92	10	from	from	ADP
cet-9881	92	11	the	the	DET
cet-9881	92	12	proposed	propose	VERB
cet-9881	92	13	framework	framework	NOUN
cet-9881	92	14	.	.	PUNCT
cet-9881	93	1	(	(	PUNCT
cet-9881	93	2	a	a	X
cet-9881	93	3	)	)	PUNCT
cet-9881	93	4	averaged	average	VERB
cet-9881	93	5	tube	tube	NOUN
cet-9881	93	6	temperature	temperature	NOUN
cet-9881	93	7	.	.	PUNCT
cet-9881	94	1	(	(	PUNCT
cet-9881	94	2	b	b	X
cet-9881	94	3	)	)	PUNCT
cet-9881	94	4	maximum	maximum	ADJ
cet-9881	94	5	tube	tube	NOUN
cet-9881	94	6	temperature	temperature	NOUN
cet-9881	94	7	.	.	PUNCT
cet-9881	95	1	(	(	PUNCT
cet-9881	95	2	c	c	X
cet-9881	95	3	)	)	PUNCT
cet-9881	95	4	sse	sse	NOUN
cet-9881	95	5	for	for	ADP
cet-9881	95	6	shape	shape	NOUN
cet-9881	95	7	monitoring	monitoring	NOUN
cet-9881	95	8	.	.	PUNCT
cet-9881	96	1	(	(	PUNCT
cet-9881	96	2	d	d	X
cet-9881	96	3	)	)	PUNCT
cet-9881	96	4	fault	fault	NOUN
cet-9881	96	5	detection	detection	NOUN
cet-9881	96	6	results	result	NOUN
cet-9881	96	7	from	from	ADP
cet-9881	96	8	the	the	DET
cet-9881	96	9	aknn	aknn	NOUN
cet-9881	96	10	method	method	NOUN
cet-9881	96	11	.	.	PUNCT
cet-9881	97	1	the	the	DET
cet-9881	97	2	first	first	ADJ
cet-9881	97	3	50	50	NUM
cet-9881	97	4	data	datum	NOUN
cet-9881	97	5	samples	sample	NOUN
cet-9881	97	6	are	be	AUX
cet-9881	97	7	used	use	VERB
cet-9881	97	8	to	to	PART
cet-9881	97	9	train	train	VERB
cet-9881	97	10	the	the	DET
cet-9881	97	11	aknn	aknn	NOUN
cet-9881	97	12	method	method	NOUN
cet-9881	97	13	,	,	PUNCT
cet-9881	97	14	while	while	SCONJ
cet-9881	97	15	the	the	DET
cet-9881	97	16	rest	rest	NOUN
cet-9881	97	17	100	100	NUM
cet-9881	97	18	are	be	AUX
cet-9881	97	19	testing	test	VERB
cet-9881	97	20	samples	sample	NOUN
cet-9881	97	21	.	.	PUNCT
cet-9881	98	1	5	5	X
cet-9881	98	2	.	.	X
cet-9881	98	3	conclusion	conclusion	NOUN
cet-9881	98	4	an	an	DET
cet-9881	98	5	image	image	NOUN
cet-9881	98	6	based	base	VERB
cet-9881	98	7	monitoring	monitoring	NOUN
cet-9881	98	8	framework	framework	NOUN
cet-9881	98	9	was	be	AUX
cet-9881	98	10	proposed	propose	VERB
cet-9881	98	11	using	use	VERB
cet-9881	98	12	thermal	thermal	ADJ
cet-9881	98	13	photography	photography	NOUN
cet-9881	98	14	in	in	ADP
cet-9881	98	15	this	this	DET
cet-9881	98	16	paper	paper	NOUN
cet-9881	98	17	.	.	PUNCT
cet-9881	99	1	this	this	DET
cet-9881	99	2	work	work	NOUN
cet-9881	99	3	successfully	successfully	ADV
cet-9881	99	4	introduced	introduce	VERB
cet-9881	99	5	state	state	NOUN
cet-9881	99	6	-	-	PUNCT
cet-9881	99	7	of	of	ADP
cet-9881	99	8	-	-	PUNCT
cet-9881	99	9	the	the	DET
cet-9881	99	10	-	-	PUNCT
cet-9881	99	11	art	art	NOUN
cet-9881	99	12	deep	deep	ADJ
cet-9881	99	13	learning	learning	NOUN
cet-9881	99	14	techniques	technique	NOUN
cet-9881	99	15	into	into	ADP
cet-9881	99	16	industrial	industrial	ADJ
cet-9881	99	17	process	process	NOUN
cet-9881	99	18	monitoring	monitoring	NOUN
cet-9881	99	19	.	.	PUNCT
cet-9881	100	1	a	a	DET
cet-9881	100	2	segmentation	segmentation	NOUN
cet-9881	100	3	network	network	NOUN
cet-9881	100	4	was	be	AUX
cet-9881	100	5	proposed	propose	VERB
cet-9881	100	6	for	for	ADP
cet-9881	100	7	automatically	automatically	ADV
cet-9881	100	8	identify	identify	VERB
cet-9881	100	9	tube	tube	NOUN
cet-9881	100	10	regions	region	NOUN
cet-9881	100	11	from	from	ADP
cet-9881	100	12	the	the	DET
cet-9881	100	13	raw	raw	ADJ
cet-9881	100	14	infrared	infrared	ADJ
cet-9881	100	15	photos	photo	NOUN
cet-9881	100	16	.	.	PUNCT
cet-9881	101	1	based	base	VERB
cet-9881	101	2	on	on	ADP
cet-9881	101	3	the	the	DET
cet-9881	101	4	segmentation	segmentation	NOUN
cet-9881	101	5	results	result	NOUN
cet-9881	101	6	,	,	PUNCT
cet-9881	101	7	key	key	ADJ
cet-9881	101	8	measurements	measurement	NOUN
cet-9881	101	9	such	such	ADJ
cet-9881	101	10	as	as	ADP
cet-9881	101	11	shape	shape	NOUN
cet-9881	101	12	changing	change	VERB
cet-9881	101	13	and	and	CCONJ
cet-9881	101	14	temperature	temperature	NOUN
cet-9881	101	15	information	information	NOUN
cet-9881	101	16	can	can	AUX
cet-9881	101	17	be	be	AUX
cet-9881	101	18	extracted	extract	VERB
cet-9881	101	19	.	.	PUNCT
cet-9881	102	1	using	use	VERB
cet-9881	102	2	these	these	DET
cet-9881	102	3	measurements	measurement	NOUN
cet-9881	102	4	,	,	PUNCT
cet-9881	102	5	the	the	DET
cet-9881	102	6	control	control	NOUN
cet-9881	102	7	limits	limit	NOUN
cet-9881	102	8	are	be	AUX
cet-9881	102	9	drawn	draw	VERB
cet-9881	102	10	by	by	ADP
cet-9881	102	11	the	the	DET
cet-9881	102	12	adaptive	adaptive	ADJ
cet-9881	102	13	k	k	ADV
cet-9881	102	14	-	-	PUNCT
cet-9881	102	15	nearest	near	ADJ
cet-9881	102	16	neighbor	neighbor	NOUN
cet-9881	102	17	method	method	NOUN
cet-9881	102	18	to	to	PART
cet-9881	102	19	raise	raise	VERB
cet-9881	102	20	alarms	alarm	NOUN
cet-9881	102	21	for	for	ADP
cet-9881	102	22	abnormal	abnormal	ADJ
cet-9881	102	23	conditions	condition	NOUN
cet-9881	102	24	.	.	PUNCT
cet-9881	103	1	the	the	DET
cet-9881	103	2	proposed	propose	VERB
cet-9881	103	3	framework	framework	NOUN
cet-9881	103	4	was	be	AUX
cet-9881	103	5	tested	test	VERB
cet-9881	103	6	on	on	ADP
cet-9881	103	7	operational	operational	ADJ
cet-9881	103	8	data	datum	NOUN
cet-9881	103	9	from	from	ADP
cet-9881	103	10	an	an	DET
cet-9881	103	11	ethylene	ethylene	NOUN
cet-9881	103	12	cracking	crack	VERB
cet-9881	103	13	unit	unit	NOUN
cet-9881	103	14	,	,	PUNCT
cet-9881	103	15	where	where	SCONJ
cet-9881	103	16	the	the	DET
cet-9881	103	17	detected	detect	VERB
cet-9881	103	18	abnormal	abnormal	ADJ
cet-9881	103	19	conditions	condition	NOUN
cet-9881	103	20	satisfy	satisfy	VERB
cet-9881	103	21	with	with	ADP
cet-9881	103	22	the	the	DET
cet-9881	103	23	records	record	NOUN
cet-9881	103	24	from	from	ADP
cet-9881	103	25	the	the	DET
cet-9881	103	26	plant	plant	NOUN
cet-9881	103	27	operators	operator	NOUN
cet-9881	103	28	.	.	PUNCT
cet-9881	104	1	the	the	DET
cet-9881	104	2	total	total	ADJ
cet-9881	104	3	processing	processing	NOUN
cet-9881	104	4	time	time	NOUN
cet-9881	104	5	at	at	ADP
cet-9881	104	6	each	each	DET
cet-9881	104	7	time	time	NOUN
cet-9881	104	8	step	step	NOUN
cet-9881	104	9	is	be	AUX
cet-9881	104	10	about	about	ADV
cet-9881	104	11	3	3	NUM
cet-9881	104	12	seconds	second	NOUN
cet-9881	104	13	,	,	PUNCT
cet-9881	104	14	which	which	PRON
cet-9881	104	15	allows	allow	VERB
cet-9881	104	16	it	it	PRON
cet-9881	104	17	in	in	ADP
cet-9881	104	18	online	online	ADJ
cet-9881	104	19	monitoring	monitoring	NOUN
cet-9881	104	20	.	.	PUNCT
cet-9881	105	1	the	the	DET
cet-9881	105	2	overall	overall	ADJ
cet-9881	105	3	results	result	NOUN
cet-9881	105	4	indicate	indicate	VERB
cet-9881	105	5	that	that	SCONJ
cet-9881	105	6	the	the	DET
cet-9881	105	7	proposed	propose	VERB
cet-9881	105	8	image	image	NOUN
cet-9881	105	9	-	-	PUNCT
cet-9881	105	10	based	base	VERB
cet-9881	105	11	monitoring	monitoring	NOUN
cet-9881	105	12	strategy	strategy	NOUN
cet-9881	105	13	provides	provide	VERB
cet-9881	105	14	a	a	DET
cet-9881	105	15	valid	valid	ADJ
cet-9881	105	16	alternative	alternative	NOUN
cet-9881	105	17	for	for	ADP
cet-9881	105	18	cracking	cracking	NOUN
cet-9881	105	19	process	process	NOUN
cet-9881	105	20	monitoring	monitoring	NOUN
cet-9881	105	21	.	.	PUNCT
cet-9881	106	1	it	it	PRON
cet-9881	106	2	is	be	AUX
cet-9881	106	3	also	also	ADV
cet-9881	106	4	expected	expect	VERB
cet-9881	106	5	that	that	SCONJ
cet-9881	106	6	the	the	DET
cet-9881	106	7	rapid	rapid	ADJ
cet-9881	106	8	growth	growth	NOUN
cet-9881	106	9	of	of	ADP
cet-9881	106	10	deep	deep	ADJ
cet-9881	106	11	learning	learning	NOUN
cet-9881	106	12	can	can	AUX
cet-9881	106	13	bring	bring	VERB
cet-9881	106	14	further	further	ADJ
cet-9881	106	15	benefits	benefit	NOUN
cet-9881	106	16	into	into	ADP
cet-9881	106	17	industrial	industrial	ADJ
cet-9881	106	18	applications	application	NOUN
cet-9881	106	19	that	that	PRON
cet-9881	106	20	can	can	AUX
cet-9881	106	21	improve	improve	VERB
cet-9881	106	22	process	process	NOUN
cet-9881	106	23	efficiency	efficiency	NOUN
cet-9881	106	24	and	and	CCONJ
cet-9881	106	25	safety	safety	NOUN
cet-9881	106	26	.	.	PUNCT
cet-9881	107	1	695	695	NUM
cet-9881	107	2	references	reference	NOUN
cet-9881	107	3	abadi	abadi	PROPN
cet-9881	107	4	m	m	PROPN
cet-9881	107	5	,	,	PUNCT
cet-9881	107	6	barham	barham	PROPN
cet-9881	107	7	p	p	PROPN
cet-9881	107	8	,	,	PUNCT
cet-9881	107	9	chen	chen	PROPN
cet-9881	107	10	j	j	PROPN
cet-9881	107	11	,	,	PUNCT
cet-9881	107	12	chen	chen	PROPN
cet-9881	107	13	z	z	PROPN
cet-9881	107	14	,	,	PUNCT
cet-9881	107	15	davis	davis	PROPN
cet-9881	107	16	a	a	PRON
cet-9881	107	17	,	,	PUNCT
cet-9881	107	18	dean	dean	PROPN
cet-9881	107	19	j	j	PROPN
cet-9881	107	20	,	,	PUNCT
cet-9881	107	21	et	et	PROPN
cet-9881	107	22	al	al	PROPN
cet-9881	107	23	.	.	PROPN
cet-9881	107	24	,	,	PUNCT
cet-9881	107	25	2016	2016	NUM
cet-9881	107	26	,	,	PUNCT
cet-9881	107	27	tensorflow	tensorflow	NOUN
cet-9881	107	28	 	 	SPACE
cet-9881	107	29	:	:	PUNCT
cet-9881	107	30	a	a	DET
cet-9881	107	31	system	system	NOUN
cet-9881	107	32	for	for	ADP
cet-9881	107	33	large	large	ADJ
cet-9881	107	34	-	-	PUNCT
cet-9881	107	35	scale	scale	NOUN
cet-9881	107	36	machine	machine	NOUN
cet-9881	107	37	learning	learn	VERB
cet-9881	107	38	this	this	DET
cet-9881	107	39	paper	paper	NOUN
cet-9881	107	40	is	be	AUX
cet-9881	107	41	included	include	VERB
cet-9881	107	42	in	in	ADP
cet-9881	107	43	the	the	DET
cet-9881	107	44	proceedings	proceeding	NOUN
cet-9881	107	45	of	of	ADP
cet-9881	107	46	the	the	DET
cet-9881	107	47	tensorflow	tensorflow	NOUN
cet-9881	107	48	 	 	SPACE
cet-9881	107	49	:	:	PUNCT
cet-9881	107	50	a	a	DET
cet-9881	107	51	system	system	NOUN
cet-9881	107	52	for	for	ADP
cet-9881	107	53	large	large	ADJ
cet-9881	107	54	-	-	PUNCT
cet-9881	107	55	scale	scale	NOUN
cet-9881	107	56	machine	machine	NOUN
cet-9881	107	57	learning,12th	learning,12th	ADJ
cet-9881	107	58	{	{	PUNCT
cet-9881	107	59	usenix	usenix	NOUN
cet-9881	107	60	}	}	PUNCT
cet-9881	107	61	symposium	symposium	NOUN
cet-9881	107	62	on	on	ADP
cet-9881	107	63	operating	operating	NOUN
cet-9881	107	64	systems	system	NOUN
cet-9881	107	65	design	design	NOUN
cet-9881	107	66	and	and	CCONJ
cet-9881	107	67	implementation	implementation	NOUN
cet-9881	107	68	(	(	PUNCT
cet-9881	107	69	{	{	PUNCT
cet-9881	107	70	osdi	osdi	NOUN
cet-9881	107	71	}	}	PUNCT
cet-9881	107	72	16	16	NUM
cet-9881	107	73	)	)	PUNCT
cet-9881	107	74	,	,	PUNCT
cet-9881	107	75	265	265	NUM
cet-9881	107	76	-	-	SYM
cet-9881	107	77	283	283	NUM
cet-9881	107	78	amghizar	amghizar	NOUN
cet-9881	107	79	i	i	PRON
cet-9881	107	80	,	,	PUNCT
cet-9881	107	81	vandewalle	vandewalle	PROPN
cet-9881	107	82	la	la	PROPN
cet-9881	107	83	,	,	PUNCT
cet-9881	107	84	van	van	PROPN
cet-9881	107	85	geem	geem	PROPN
cet-9881	107	86	km	km	PROPN
cet-9881	107	87	,	,	PUNCT
cet-9881	107	88	marin	marin	NOUN
cet-9881	107	89	gb	gb	ADP
cet-9881	107	90	.	.	PROPN
cet-9881	107	91	,	,	PUNCT
cet-9881	107	92	2017	2017	NUM
cet-9881	107	93	,	,	PUNCT
cet-9881	107	94	new	new	ADJ
cet-9881	107	95	trends	trend	NOUN
cet-9881	107	96	in	in	ADP
cet-9881	107	97	olefin	olefin	ADJ
cet-9881	107	98	production	production	NOUN
cet-9881	107	99	.	.	PUNCT
cet-9881	108	1	engineering	engineering	NOUN
cet-9881	108	2	,	,	PUNCT
cet-9881	108	3	3(2	3(2	NUM
cet-9881	108	4	)	)	PUNCT
cet-9881	108	5	,	,	PUNCT
cet-9881	108	6	171	171	NUM
cet-9881	108	7	-	-	SYM
cet-9881	108	8	178	178	NUM
cet-9881	108	9	;	;	PUNCT
cet-9881	108	10	braatz	braatz	PROPN
cet-9881	108	11	e.	e.	PROPN
cet-9881	108	12	,	,	PUNCT
cet-9881	108	13	chiang	chiang	PROPN
cet-9881	108	14	l.h	l.h	PROPN
cet-9881	108	15	.	.	PROPN
cet-9881	108	16	,	,	PUNCT
cet-9881	108	17	2001	2001	NUM
cet-9881	108	18	,	,	PUNCT
cet-9881	108	19	fault	fault	VERB
cet-9881	108	20	detection	detection	NOUN
cet-9881	108	21	and	and	CCONJ
cet-9881	108	22	diagnosis	diagnosis	NOUN
cet-9881	108	23	in	in	ADP
cet-9881	108	24	industrial	industrial	ADJ
cet-9881	108	25	systems	system	NOUN
cet-9881	108	26	,	,	PUNCT
cet-9881	108	27	springer	springer	NOUN
cet-9881	108	28	science	science	PROPN
cet-9881	108	29	&	&	CCONJ
cet-9881	108	30	business	business	NOUN
cet-9881	108	31	media	medium	NOUN
cet-9881	108	32	,	,	PUNCT
cet-9881	108	33	berlin	berlin	PROPN
cet-9881	108	34	,	,	PUNCT
cet-9881	108	35	germany	germany	PROPN
cet-9881	108	36	.	.	PUNCT
cet-9881	109	1	deng	deng	PROPN
cet-9881	109	2	j	j	PROPN
cet-9881	109	3	,	,	PUNCT
cet-9881	109	4	dong	dong	PROPN
cet-9881	109	5	w	w	PROPN
cet-9881	109	6	,	,	PUNCT
cet-9881	109	7	socher	socher	NOUN
cet-9881	109	8	r	r	NOUN
cet-9881	109	9	,	,	PUNCT
cet-9881	109	10	li	li	PROPN
cet-9881	109	11	l	l	PROPN
cet-9881	109	12	-	-	PROPN
cet-9881	109	13	j	j	PROPN
cet-9881	109	14	,	,	PUNCT
cet-9881	109	15	li	li	PROPN
cet-9881	109	16	k	k	PROPN
cet-9881	109	17	,	,	PUNCT
cet-9881	109	18	li	li	PROPN
cet-9881	109	19	f	f	PROPN
cet-9881	109	20	-	-	PROPN
cet-9881	109	21	f.	f.	PROPN
cet-9881	109	22	,	,	PUNCT
cet-9881	109	23	2009	2009	NUM
cet-9881	109	24	,	,	PUNCT
cet-9881	109	25	imagenet	imagenet	NOUN
cet-9881	109	26	:	:	PUNCT
cet-9881	109	27	a	a	DET
cet-9881	109	28	large	large	ADJ
cet-9881	109	29	-	-	PUNCT
cet-9881	109	30	scale	scale	NOUN
cet-9881	109	31	hierarchical	hierarchical	ADJ
cet-9881	109	32	image	image	NOUN
cet-9881	109	33	database	database	NOUN
cet-9881	109	34	,	,	PUNCT
cet-9881	109	35	2009	2009	NUM
cet-9881	109	36	ieee	ieee	NOUN
cet-9881	109	37	conference	conference	NOUN
cet-9881	109	38	on	on	ADP
cet-9881	109	39	computer	computer	NOUN
cet-9881	109	40	vision	vision	NOUN
cet-9881	109	41	and	and	CCONJ
cet-9881	109	42	pattern	pattern	NOUN
cet-9881	109	43	recognition	recognition	NOUN
cet-9881	109	44	,	,	PUNCT
cet-9881	109	45	248–55	248–55	NUM
cet-9881	109	46	.	.	PUNCT
cet-9881	110	1	esteva	esteva	PROPN
cet-9881	110	2	a	a	PRON
cet-9881	110	3	,	,	PUNCT
cet-9881	110	4	kuprel	kuprel	NOUN
cet-9881	110	5	b	b	NOUN
cet-9881	110	6	,	,	PUNCT
cet-9881	110	7	novoa	novoa	NOUN
cet-9881	110	8	ra	ra	PROPN
cet-9881	110	9	,	,	PUNCT
cet-9881	110	10	ko	ko	PROPN
cet-9881	110	11	j	j	PROPN
cet-9881	110	12	,	,	PUNCT
cet-9881	110	13	swetter	swetter	NOUN
cet-9881	110	14	sm	sm	PROPN
cet-9881	110	15	,	,	PUNCT
cet-9881	110	16	blau	blau	PROPN
cet-9881	110	17	hm	hm	INTJ
cet-9881	110	18	,	,	PUNCT
cet-9881	110	19	et	et	PROPN
cet-9881	110	20	al	al	PROPN
cet-9881	110	21	.	.	PROPN
cet-9881	110	22	,	,	PUNCT
cet-9881	110	23	2017	2017	NUM
cet-9881	110	24	,	,	PUNCT
cet-9881	110	25	dermatologist	dermatologist	NOUN
cet-9881	110	26	-	-	PUNCT
cet-9881	110	27	level	level	NOUN
cet-9881	110	28	classification	classification	NOUN
cet-9881	110	29	of	of	ADP
cet-9881	110	30	skin	skin	NOUN
cet-9881	110	31	cancer	cancer	NOUN
cet-9881	110	32	with	with	ADP
cet-9881	110	33	deep	deep	ADJ
cet-9881	110	34	neural	neural	ADJ
cet-9881	110	35	networks	network	NOUN
cet-9881	110	36	,	,	PUNCT
cet-9881	110	37	nature;542(7639):115	nature;542(7639):115	PROPN
cet-9881	110	38	.	.	PUNCT
cet-9881	111	1	fukushima	fukushima	PROPN
cet-9881	111	2	k.	k.	PROPN
cet-9881	111	3	,	,	PUNCT
cet-9881	111	4	1980	1980	NUM
cet-9881	111	5	,	,	PUNCT
cet-9881	111	6	neocognitron	neocognitron	PROPN
cet-9881	111	7	:	:	PUNCT
cet-9881	111	8	a	a	DET
cet-9881	111	9	self	self	NOUN
cet-9881	111	10	-	-	PUNCT
cet-9881	111	11	organizing	organize	VERB
cet-9881	111	12	neural	neural	ADJ
cet-9881	111	13	network	network	NOUN
cet-9881	111	14	model	model	NOUN
cet-9881	111	15	for	for	ADP
cet-9881	111	16	a	a	DET
cet-9881	111	17	mechanism	mechanism	NOUN
cet-9881	111	18	of	of	ADP
cet-9881	111	19	pattern	pattern	NOUN
cet-9881	111	20	recognition	recognition	NOUN
cet-9881	111	21	unaffected	unaffected	ADJ
cet-9881	111	22	by	by	ADP
cet-9881	111	23	shift	shift	NOUN
cet-9881	111	24	in	in	ADP
cet-9881	111	25	position	position	NOUN
cet-9881	111	26	,	,	PUNCT
cet-9881	111	27	biological	biological	ADJ
cet-9881	111	28	cybernetics	cybernetic	NOUN
cet-9881	111	29	,	,	PUNCT
cet-9881	111	30	36(4	36(4	NUM
cet-9881	111	31	)	)	PUNCT
cet-9881	111	32	,	,	PUNCT
cet-9881	111	33	193	193	NUM
cet-9881	111	34	-	-	SYM
cet-9881	111	35	202	202	NUM
cet-9881	111	36	.	.	PUNCT
cet-9881	112	1	fulkerson	fulkerson	PROPN
cet-9881	112	2	b	b	PROPN
cet-9881	112	3	,	,	PUNCT
cet-9881	112	4	vedaldi	vedaldi	PROPN
cet-9881	112	5	a	a	NOUN
cet-9881	112	6	,	,	PUNCT
cet-9881	112	7	soatto	soatto	NOUN
cet-9881	112	8	s.	s.	PROPN
cet-9881	112	9	,	,	PUNCT
cet-9881	112	10	2010	2010	NUM
cet-9881	112	11	,	,	PUNCT
cet-9881	112	12	class	class	NOUN
cet-9881	112	13	segmentation	segmentation	NOUN
cet-9881	112	14	and	and	CCONJ
cet-9881	112	15	object	object	VERB
cet-9881	112	16	localization	localization	NOUN
cet-9881	112	17	with	with	ADP
cet-9881	112	18	superpixel	superpixel	ADJ
cet-9881	112	19	neighborhoods	neighborhood	NOUN
cet-9881	112	20	,	,	PUNCT
cet-9881	112	21	2009	2009	NUM
cet-9881	112	22	ieee	ieee	NOUN
cet-9881	112	23	12th	12th	PROPN
cet-9881	112	24	international	international	ADJ
cet-9881	112	25	conference	conference	NOUN
cet-9881	112	26	on	on	ADP
cet-9881	112	27	computer	computer	NOUN
cet-9881	112	28	vision	vision	NOUN
cet-9881	112	29	,	,	PUNCT
cet-9881	112	30	670	670	NUM
cet-9881	112	31	-	-	SYM
cet-9881	112	32	677	677	NUM
cet-9881	112	33	.	.	PUNCT
cet-9881	113	1	gopalakrishnan	gopalakrishnan	NOUN
cet-9881	113	2	k	k	PROPN
cet-9881	113	3	,	,	PUNCT
cet-9881	113	4	khaitan	khaitan	PROPN
cet-9881	113	5	sk	sk	PROPN
cet-9881	113	6	,	,	PUNCT
cet-9881	113	7	choudhary	choudhary	PROPN
cet-9881	113	8	a	a	X
cet-9881	113	9	,	,	PUNCT
cet-9881	113	10	agrawal	agrawal	PROPN
cet-9881	113	11	a.	a.	PROPN
cet-9881	113	12	,	,	PUNCT
cet-9881	113	13	2017	2017	NUM
cet-9881	113	14	,	,	PUNCT
cet-9881	113	15	deep	deep	ADJ
cet-9881	113	16	convolutional	convolutional	ADJ
cet-9881	113	17	neural	neural	ADJ
cet-9881	113	18	networks	network	NOUN
cet-9881	113	19	with	with	ADP
cet-9881	113	20	transfer	transfer	NOUN
cet-9881	113	21	learning	learning	NOUN
cet-9881	113	22	for	for	ADP
cet-9881	113	23	computer	computer	NOUN
cet-9881	113	24	vision	vision	NOUN
cet-9881	113	25	-	-	PUNCT
cet-9881	113	26	based	base	VERB
cet-9881	113	27	data	data	NOUN
cet-9881	113	28	-	-	PUNCT
cet-9881	113	29	driven	drive	VERB
cet-9881	113	30	pavement	pavement	NOUN
cet-9881	113	31	distress	distress	NOUN
cet-9881	113	32	detection	detection	NOUN
cet-9881	113	33	,	,	PUNCT
cet-9881	113	34	construction	construction	NOUN
cet-9881	113	35	and	and	CCONJ
cet-9881	113	36	building	building	NOUN
cet-9881	113	37	materials	material	NOUN
cet-9881	113	38	157	157	NUM
cet-9881	113	39	,	,	PUNCT
cet-9881	113	40	322	322	NUM
cet-9881	113	41	-	-	SYM
cet-9881	113	42	330	330	NUM
cet-9881	113	43	.	.	PUNCT
cet-9881	114	1	he	he	PRON
cet-9881	114	2	k	k	PROPN
cet-9881	114	3	,	,	PUNCT
cet-9881	114	4	zhang	zhang	PROPN
cet-9881	114	5	x	x	PROPN
cet-9881	114	6	,	,	PUNCT
cet-9881	114	7	ren	ren	PROPN
cet-9881	114	8	s	s	PROPN
cet-9881	114	9	,	,	PUNCT
cet-9881	114	10	sun	sun	PROPN
cet-9881	114	11	j.	j.	PROPN
cet-9881	114	12	,	,	PUNCT
cet-9881	114	13	2015	2015	NUM
cet-9881	114	14	,	,	PUNCT
cet-9881	114	15	delving	delve	VERB
cet-9881	114	16	deep	deep	ADV
cet-9881	114	17	into	into	ADP
cet-9881	114	18	rectifiers	rectifier	NOUN
cet-9881	114	19	:	:	PUNCT
cet-9881	114	20	surpassing	surpass	VERB
cet-9881	114	21	human	human	ADJ
cet-9881	114	22	-	-	PUNCT
cet-9881	114	23	level	level	NOUN
cet-9881	114	24	performance	performance	NOUN
cet-9881	114	25	on	on	ADP
cet-9881	114	26	imagenet	imagenet	ADJ
cet-9881	114	27	classification	classification	NOUN
cet-9881	114	28	,	,	PUNCT
cet-9881	114	29	proceedings	proceeding	NOUN
cet-9881	114	30	of	of	ADP
cet-9881	114	31	the	the	DET
cet-9881	114	32	ieee	ieee	NOUN
cet-9881	114	33	international	international	PROPN
cet-9881	114	34	conference	conference	NOUN
cet-9881	114	35	on	on	ADP
cet-9881	114	36	computer	computer	NOUN
cet-9881	114	37	vision	vision	NOUN
cet-9881	114	38	,	,	PUNCT
cet-9881	114	39	10261034	10261034	NUM
cet-9881	114	40	.	.	PUNCT
cet-9881	115	1	he	he	PRON
cet-9881	115	2	k	k	PROPN
cet-9881	115	3	,	,	PUNCT
cet-9881	115	4	zhang	zhang	PROPN
cet-9881	115	5	x	x	PROPN
cet-9881	115	6	,	,	PUNCT
cet-9881	115	7	ren	ren	PROPN
cet-9881	115	8	s	s	PROPN
cet-9881	115	9	,	,	PUNCT
cet-9881	115	10	sun	sun	PROPN
cet-9881	115	11	j.	j.	PROPN
cet-9881	115	12	,	,	PUNCT
cet-9881	115	13	2016	2016	NUM
cet-9881	115	14	,	,	PUNCT
cet-9881	115	15	deep	deep	ADJ
cet-9881	115	16	residual	residual	ADJ
cet-9881	115	17	learning	learning	NOUN
cet-9881	115	18	for	for	ADP
cet-9881	115	19	image	image	NOUN
cet-9881	115	20	recognition	recognition	NOUN
cet-9881	115	21	,	,	PUNCT
cet-9881	115	22	proceedings	proceeding	NOUN
cet-9881	115	23	of	of	ADP
cet-9881	115	24	the	the	DET
cet-9881	115	25	ieee	ieee	NOUN
cet-9881	115	26	computer	computer	NOUN
cet-9881	115	27	society	society	PROPN
cet-9881	115	28	conference	conference	NOUN
cet-9881	115	29	on	on	ADP
cet-9881	115	30	computer	computer	NOUN
cet-9881	115	31	vision	vision	NOUN
cet-9881	115	32	and	and	CCONJ
cet-9881	115	33	pattern	pattern	NOUN
cet-9881	115	34	recognition	recognition	NOUN
cet-9881	115	35	,	,	PUNCT
cet-9881	115	36	770	770	NUM
cet-9881	115	37	-	-	SYM
cet-9881	115	38	778	778	NUM
cet-9881	115	39	krizhevsky	krizhevsky	NOUN
cet-9881	115	40	a	a	NOUN
cet-9881	115	41	,	,	PUNCT
cet-9881	115	42	sutskever	sutskever	VERB
cet-9881	115	43	i	i	PROPN
cet-9881	115	44	,	,	PUNCT
cet-9881	115	45	hinton	hinton	PROPN
cet-9881	115	46	ge	ge	PROPN
cet-9881	115	47	.	.	PROPN
cet-9881	115	48	,	,	PUNCT
cet-9881	115	49	2012	2012	NUM
cet-9881	115	50	,	,	PUNCT
cet-9881	115	51	imagenet	imagenet	NOUN
cet-9881	115	52	classification	classification	NOUN
cet-9881	115	53	with	with	ADP
cet-9881	115	54	deep	deep	ADJ
cet-9881	115	55	convolutional	convolutional	ADJ
cet-9881	115	56	neural	neural	ADJ
cet-9881	115	57	networks	network	NOUN
cet-9881	115	58	,	,	PUNCT
cet-9881	115	59	advances	advance	NOUN
cet-9881	115	60	in	in	ADP
cet-9881	115	61	neural	neural	ADJ
cet-9881	115	62	information	information	NOUN
cet-9881	115	63	processing	processing	NOUN
cet-9881	115	64	systems	system	NOUN
cet-9881	115	65	,	,	PUNCT
cet-9881	115	66	1097	1097	NUM
cet-9881	115	67	-	-	SYM
cet-9881	115	68	1105	1105	NUM
cet-9881	115	69	lecun	lecun	PROPN
cet-9881	115	70	y	y	PROPN
cet-9881	115	71	,	,	PUNCT
cet-9881	115	72	boser	boser	PROPN
cet-9881	115	73	b	b	PROPN
cet-9881	115	74	,	,	PUNCT
cet-9881	115	75	denker	denker	PROPN
cet-9881	115	76	js	js	PROPN
cet-9881	115	77	,	,	PUNCT
cet-9881	115	78	henderson	henderson	PROPN
cet-9881	115	79	d	d	PROPN
cet-9881	115	80	,	,	PUNCT
cet-9881	115	81	howard	howard	PROPN
cet-9881	115	82	re	re	PROPN
cet-9881	115	83	,	,	PUNCT
cet-9881	115	84	hubbard	hubbard	PROPN
cet-9881	115	85	w	w	PROPN
cet-9881	115	86	,	,	PUNCT
cet-9881	115	87	et	et	PROPN
cet-9881	115	88	al	al	PROPN
cet-9881	115	89	.	.	PROPN
cet-9881	115	90	,	,	PUNCT
cet-9881	115	91	2008	2008	NUM
cet-9881	115	92	,	,	PUNCT
cet-9881	115	93	backpropagation	backpropagation	NOUN
cet-9881	115	94	applied	apply	VERB
cet-9881	115	95	to	to	ADP
cet-9881	115	96	handwritten	handwritten	ADJ
cet-9881	115	97	zip	zip	NOUN
cet-9881	115	98	code	code	NOUN
cet-9881	115	99	recognition	recognition	NOUN
cet-9881	115	100	,	,	PUNCT
cet-9881	115	101	neural	neural	ADJ
cet-9881	115	102	computation	computation	NOUN
cet-9881	115	103	1	1	NUM
cet-9881	115	104	,	,	PUNCT
cet-9881	115	105	no	no	INTJ
cet-9881	115	106	.	.	NOUN
cet-9881	115	107	4	4	NUM
cet-9881	115	108	,	,	PUNCT
cet-9881	115	109	541	541	NUM
cet-9881	115	110	-	-	SYM
cet-9881	115	111	551	551	NUM
cet-9881	115	112	.	.	PUNCT
cet-9881	116	1	li	li	PROPN
cet-9881	116	2	w	w	PROPN
cet-9881	116	3	,	,	PUNCT
cet-9881	116	4	yue	yue	PROPN
cet-9881	116	5	hh	hh	PROPN
cet-9881	116	6	,	,	PUNCT
cet-9881	116	7	valle	valle	NOUN
cet-9881	116	8	-	-	PUNCT
cet-9881	116	9	cervantes	cervante	NOUN
cet-9881	116	10	s	s	PART
cet-9881	116	11	,	,	PUNCT
cet-9881	116	12	qin	qin	PROPN
cet-9881	116	13	sj	sj	PROPN
cet-9881	116	14	.	.	PUNCT
cet-9881	116	15	recursive	recursive	ADJ
cet-9881	116	16	pca	pca	PROPN
cet-9881	116	17	for	for	ADP
cet-9881	116	18	adaptive	adaptive	ADJ
cet-9881	116	19	process	process	NOUN
cet-9881	116	20	monitoring	monitoring	NOUN
cet-9881	116	21	,	,	PUNCT
cet-9881	116	22	journal	journal	NOUN
cet-9881	116	23	of	of	ADP
cet-9881	116	24	process	process	NOUN
cet-9881	116	25	control	control	NOUN
cet-9881	116	26	10	10	NUM
cet-9881	116	27	,	,	PUNCT
cet-9881	116	28	no	no	INTJ
cet-9881	116	29	.	.	NOUN
cet-9881	116	30	5	5	NUM
cet-9881	116	31	,	,	PUNCT
cet-9881	116	32	471	471	NUM
cet-9881	116	33	-	-	SYM
cet-9881	116	34	486	486	NUM
cet-9881	116	35	.	.	PUNCT
cet-9881	117	1	mnih	mnih	PROPN
cet-9881	117	2	v	v	PROPN
cet-9881	117	3	,	,	PUNCT
cet-9881	117	4	kavukcuoglu	kavukcuoglu	PROPN
cet-9881	117	5	k	k	PROPN
cet-9881	117	6	,	,	PUNCT
cet-9881	117	7	silver	silver	NOUN
cet-9881	117	8	d	d	PROPN
cet-9881	117	9	,	,	PUNCT
cet-9881	117	10	rusu	rusu	PROPN
cet-9881	117	11	aa	aa	PROPN
cet-9881	117	12	,	,	PUNCT
cet-9881	117	13	veness	veness	PROPN
cet-9881	117	14	j	j	PROPN
cet-9881	117	15	,	,	PUNCT
cet-9881	117	16	bellemare	bellemare	VERB
cet-9881	117	17	mg	mg	PROPN
cet-9881	117	18	,	,	PUNCT
cet-9881	117	19	et	et	PROPN
cet-9881	117	20	al	al	PROPN
cet-9881	117	21	.	.	PROPN
cet-9881	117	22	,	,	PUNCT
cet-9881	117	23	2015	2015	NUM
cet-9881	117	24	,	,	PUNCT
cet-9881	117	25	human	human	ADJ
cet-9881	117	26	-	-	PUNCT
cet-9881	117	27	level	level	NOUN
cet-9881	117	28	control	control	NOUN
cet-9881	117	29	through	through	ADP
cet-9881	117	30	deep	deep	ADJ
cet-9881	117	31	reinforcement	reinforcement	NOUN
cet-9881	117	32	learning	learning	NOUN
cet-9881	117	33	.	.	PUNCT
cet-9881	118	1	nature	nature	NOUN
cet-9881	118	2	.	.	PUNCT
cet-9881	119	1	529	529	X
cet-9881	119	2	.	.	PUNCT
cet-9881	120	1	ronneberger	ronneberger	NOUN
cet-9881	120	2	o	o	PROPN
cet-9881	120	3	,	,	PUNCT
cet-9881	120	4	fischer	fischer	PROPN
cet-9881	120	5	p	p	PROPN
cet-9881	120	6	,	,	PUNCT
cet-9881	120	7	brox	brox	PROPN
cet-9881	120	8	t.	t.	PROPN
cet-9881	120	9	,	,	PUNCT
cet-9881	120	10	2015	2015	NUM
cet-9881	120	11	,	,	PUNCT
cet-9881	120	12	u	u	NOUN
cet-9881	120	13	-	-	NOUN
cet-9881	120	14	net	net	ADJ
cet-9881	120	15	:	:	PUNCT
cet-9881	120	16	convolutional	convolutional	ADJ
cet-9881	120	17	networks	network	NOUN
cet-9881	120	18	for	for	ADP
cet-9881	120	19	biomedical	biomedical	ADJ
cet-9881	120	20	image	image	NOUN
cet-9881	120	21	segmentation	segmentation	NOUN
cet-9881	120	22	,	,	PUNCT
cet-9881	120	23	international	international	ADJ
cet-9881	120	24	conference	conference	NOUN
cet-9881	120	25	on	on	ADP
cet-9881	120	26	medical	medical	ADJ
cet-9881	120	27	image	image	NOUN
cet-9881	120	28	computing	computing	NOUN
cet-9881	120	29	and	and	CCONJ
cet-9881	120	30	computer	computer	NOUN
cet-9881	120	31	-	-	PUNCT
cet-9881	120	32	assisted	assist	VERB
cet-9881	120	33	intervention	intervention	NOUN
cet-9881	120	34	,	,	PUNCT
cet-9881	120	35	234	234	NUM
cet-9881	120	36	-	-	SYM
cet-9881	120	37	241	241	NUM
cet-9881	120	38	.	.	PUNCT
cet-9881	121	1	rumelhart	rumelhart	PROPN
cet-9881	121	2	de	de	PROPN
cet-9881	121	3	,	,	PUNCT
cet-9881	121	4	hinton	hinton	PROPN
cet-9881	121	5	ge	ge	PROPN
cet-9881	121	6	,	,	PUNCT
cet-9881	121	7	williams	williams	PROPN
cet-9881	121	8	rj	rj	PROPN
cet-9881	121	9	.	.	PROPN
cet-9881	121	10	,	,	PUNCT
cet-9881	121	11	1986	1986	NUM
cet-9881	121	12	,	,	PUNCT
cet-9881	121	13	learning	learn	VERB
cet-9881	121	14	internal	internal	ADJ
cet-9881	121	15	representations	representation	NOUN
cet-9881	121	16	by	by	ADP
cet-9881	121	17	error	error	NOUN
cet-9881	121	18	propagation	propagation	NOUN
cet-9881	121	19	,	,	PUNCT
cet-9881	121	20	no	no	INTJ
cet-9881	121	21	.	.	NOUN
cet-9881	121	22	ics-8506	ics-8506	NOUN
cet-9881	121	23	.	.	PUNCT
cet-9881	122	1	california	california	PROPN
cet-9881	122	2	univ	univ	PROPN
cet-9881	122	3	san	san	PROPN
cet-9881	122	4	diego	diego	PROPN
cet-9881	122	5	la	la	PROPN
cet-9881	122	6	jolla	jolla	PROPN
cet-9881	122	7	inst	inst	NOUN
cet-9881	122	8	for	for	ADP
cet-9881	122	9	cognitive	cognitive	ADJ
cet-9881	122	10	science	science	NOUN
cet-9881	122	11	.	.	PUNCT
cet-9881	123	1	shelhamer	shelhamer	PROPN
cet-9881	123	2	e	e	NOUN
cet-9881	123	3	,	,	PUNCT
cet-9881	123	4	long	long	PROPN
cet-9881	123	5	j	j	PROPN
cet-9881	123	6	,	,	PUNCT
cet-9881	123	7	darrell	darrell	PROPN
cet-9881	123	8	t.	t.	PROPN
cet-9881	123	9	,	,	PUNCT
cet-9881	123	10	2017	2017	NUM
cet-9881	123	11	,	,	PUNCT
cet-9881	123	12	fully	fully	ADV
cet-9881	123	13	convolutional	convolutional	ADJ
cet-9881	123	14	networks	network	NOUN
cet-9881	123	15	for	for	ADP
cet-9881	123	16	semantic	semantic	ADJ
cet-9881	123	17	segmentation	segmentation	NOUN
cet-9881	123	18	,	,	PUNCT
cet-9881	123	19	proceedings	proceeding	NOUN
cet-9881	123	20	of	of	ADP
cet-9881	123	21	the	the	DET
cet-9881	123	22	ieee	ieee	NOUN
cet-9881	123	23	conference	conference	NOUN
cet-9881	123	24	on	on	ADP
cet-9881	123	25	computer	computer	NOUN
cet-9881	123	26	vision	vision	NOUN
cet-9881	123	27	and	and	CCONJ
cet-9881	123	28	pattern	pattern	NOUN
cet-9881	123	29	recognition	recognition	NOUN
cet-9881	123	30	,	,	PUNCT
cet-9881	123	31	3431	3431	NUM
cet-9881	123	32	-	-	SYM
cet-9881	123	33	3440	3440	NUM
cet-9881	123	34	shotton	shotton	PROPN
cet-9881	123	35	j	j	PROPN
cet-9881	123	36	,	,	PUNCT
cet-9881	123	37	winn	winn	PROPN
cet-9881	123	38	j	j	PROPN
cet-9881	123	39	,	,	PUNCT
cet-9881	123	40	rother	rother	PROPN
cet-9881	123	41	c	c	PROPN
cet-9881	123	42	,	,	PUNCT
cet-9881	123	43	criminisi	criminisi	ADJ
cet-9881	123	44	a.	a.	NOUN
cet-9881	123	45	,	,	PUNCT
cet-9881	123	46	2009	2009	NUM
cet-9881	123	47	,	,	PUNCT
cet-9881	123	48	textonboost	textonboost	VERB
cet-9881	123	49	for	for	ADP
cet-9881	123	50	image	image	NOUN
cet-9881	123	51	understanding	understanding	NOUN
cet-9881	123	52	:	:	PUNCT
cet-9881	123	53	multi	multi	ADJ
cet-9881	123	54	-	-	ADJ
cet-9881	123	55	class	class	ADJ
cet-9881	123	56	object	object	NOUN
cet-9881	123	57	recognition	recognition	NOUN
cet-9881	123	58	and	and	CCONJ
cet-9881	123	59	segmentation	segmentation	NOUN
cet-9881	123	60	by	by	ADP
cet-9881	123	61	jointly	jointly	ADV
cet-9881	123	62	modeling	model	VERB
cet-9881	123	63	texture	texture	NOUN
cet-9881	123	64	,	,	PUNCT
cet-9881	123	65	layout	layout	NOUN
cet-9881	123	66	,	,	PUNCT
cet-9881	123	67	and	and	CCONJ
cet-9881	123	68	context	context	NOUN
cet-9881	123	69	,	,	PUNCT
cet-9881	123	70	international	international	ADJ
cet-9881	123	71	journal	journal	NOUN
cet-9881	123	72	of	of	ADP
cet-9881	123	73	computer	computer	NOUN
cet-9881	123	74	vision	vision	NOUN
cet-9881	123	75	81	81	NUM
cet-9881	123	76	,	,	PUNCT
cet-9881	123	77	no	no	INTJ
cet-9881	123	78	.	.	NOUN
cet-9881	123	79	1	1	NUM
cet-9881	123	80	,	,	PUNCT
cet-9881	123	81	2	2	NUM
cet-9881	123	82	-	-	SYM
cet-9881	123	83	23	23	NUM
cet-9881	123	84	.	.	PUNCT
cet-9881	124	1	silver	silver	PROPN
cet-9881	124	2	d	d	PROPN
cet-9881	124	3	,	,	PUNCT
cet-9881	124	4	schrittwieser	schrittwieser	PROPN
cet-9881	124	5	j	j	PROPN
cet-9881	124	6	,	,	PUNCT
cet-9881	124	7	simonyan	simonyan	PROPN
cet-9881	125	1	k	k	NOUN
cet-9881	125	2	,	,	PUNCT
cet-9881	125	3	antonoglou	antonoglou	PROPN
cet-9881	126	1	i	i	PROPN
cet-9881	126	2	,	,	PUNCT
cet-9881	126	3	huang	huang	PROPN
cet-9881	126	4	a	a	PROPN
cet-9881	126	5	,	,	PUNCT
cet-9881	126	6	guez	guez	PROPN
cet-9881	126	7	a	a	PROPN
cet-9881	126	8	,	,	PUNCT
cet-9881	126	9	et	et	PROPN
cet-9881	126	10	al	al	PROPN
cet-9881	126	11	.	.	PROPN
cet-9881	126	12	,	,	PUNCT
cet-9881	126	13	2017	2017	NUM
cet-9881	126	14	,	,	PUNCT
cet-9881	126	15	mastering	master	VERB
cet-9881	126	16	the	the	DET
cet-9881	126	17	game	game	NOUN
cet-9881	126	18	of	of	ADP
cet-9881	126	19	go	go	NOUN
cet-9881	126	20	without	without	ADP
cet-9881	126	21	human	human	ADJ
cet-9881	126	22	knowledge	knowledge	NOUN
cet-9881	126	23	.	.	PUNCT
cet-9881	127	1	nature	nature	NOUN
cet-9881	127	2	,	,	PUNCT
cet-9881	127	3	354	354	NUM
cet-9881	127	4	.	.	PUNCT
cet-9881	127	5	simonyan	simonyan	PROPN
cet-9881	128	1	k	k	NOUN
cet-9881	128	2	,	,	PUNCT
cet-9881	128	3	zisserman	zisserman	PROPN
cet-9881	128	4	a.	a.	PROPN
cet-9881	128	5	,	,	PUNCT
cet-9881	128	6	2014	2014	NUM
cet-9881	128	7	,	,	PUNCT
cet-9881	128	8	very	very	ADV
cet-9881	128	9	deep	deep	ADJ
cet-9881	128	10	convolutional	convolutional	ADJ
cet-9881	128	11	networks	network	NOUN
cet-9881	128	12	for	for	ADP
cet-9881	128	13	large	large	ADJ
cet-9881	128	14	-	-	PUNCT
cet-9881	128	15	scale	scale	NOUN
cet-9881	128	16	image	image	NOUN
cet-9881	128	17	recognition	recognition	NOUN
cet-9881	128	18	,	,	PUNCT
cet-9881	128	19	arxiv	arxiv	PROPN
cet-9881	128	20	preprint	preprint	NOUN
cet-9881	128	21	arxiv:1409.1556	arxiv:1409.1556	NOUN
cet-9881	128	22	.	.	PUNCT
cet-9881	129	1	tu	tu	PROPN
cet-9881	129	2	z	z	PROPN
cet-9881	129	3	,	,	PUNCT
cet-9881	129	4	bai	bai	PROPN
cet-9881	129	5	x.	x.	PROPN
cet-9881	129	6	,	,	PUNCT
cet-9881	129	7	2009	2009	NUM
cet-9881	129	8	,	,	PUNCT
cet-9881	129	9	auto	auto	NOUN
cet-9881	129	10	-	-	PUNCT
cet-9881	129	11	context	context	NOUN
cet-9881	129	12	and	and	CCONJ
cet-9881	129	13	its	its	PRON
cet-9881	129	14	application	application	NOUN
cet-9881	129	15	to	to	ADP
cet-9881	129	16	high	high	ADJ
cet-9881	129	17	-	-	PUNCT
cet-9881	129	18	level	level	NOUN
cet-9881	129	19	vision	vision	NOUN
cet-9881	129	20	tasks	task	NOUN
cet-9881	129	21	and	and	CCONJ
cet-9881	129	22	3d	3d	NUM
cet-9881	129	23	brain	brain	NOUN
cet-9881	129	24	image	image	NOUN
cet-9881	129	25	segmentation	segmentation	NOUN
cet-9881	129	26	,	,	PUNCT
cet-9881	129	27	ieee	ieee	NOUN
cet-9881	129	28	transactions	transaction	NOUN
cet-9881	129	29	on	on	ADP
cet-9881	129	30	pattern	pattern	NOUN
cet-9881	129	31	analysis	analysis	NOUN
cet-9881	129	32	and	and	CCONJ
cet-9881	129	33	machine	machine	NOUN
cet-9881	129	34	intelligence	intelligence	NOUN
cet-9881	129	35	32	32	NUM
cet-9881	129	36	,	,	PUNCT
cet-9881	129	37	no	no	INTJ
cet-9881	129	38	.	.	NOUN
cet-9881	129	39	10	10	NUM
cet-9881	129	40	,	,	PUNCT
cet-9881	129	41	1744	1744	NUM
cet-9881	129	42	-	-	SYM
cet-9881	129	43	1757	1757	NUM
cet-9881	129	44	.	.	PUNCT
cet-9881	130	1	zhang	zhang	PROPN
cet-9881	130	2	a	a	PROPN
cet-9881	130	3	,	,	PUNCT
cet-9881	130	4	wang	wang	PROPN
cet-9881	130	5	kcp	kcp	PROPN
cet-9881	130	6	,	,	PUNCT
cet-9881	130	7	li	li	PROPN
cet-9881	130	8	b	b	PROPN
cet-9881	130	9	,	,	PUNCT
cet-9881	130	10	yang	yang	PROPN
cet-9881	130	11	e	e	PROPN
cet-9881	130	12	,	,	PUNCT
cet-9881	130	13	dai	dai	PROPN
cet-9881	130	14	x	x	PROPN
cet-9881	130	15	,	,	PUNCT
cet-9881	130	16	peng	peng	PROPN
cet-9881	130	17	y	y	PROPN
cet-9881	130	18	,	,	PUNCT
cet-9881	130	19	et	et	PROPN
cet-9881	130	20	al	al	PROPN
cet-9881	130	21	.	.	PROPN
cet-9881	130	22	,	,	PUNCT
cet-9881	130	23	2017	2017	NUM
cet-9881	130	24	,	,	PUNCT
cet-9881	130	25	automated	automate	VERB
cet-9881	130	26	pixel	pixel	ADJ
cet-9881	130	27	-	-	PUNCT
cet-9881	130	28	level	level	NOUN
cet-9881	130	29	pavement	pavement	NOUN
cet-9881	130	30	crack	crack	NOUN
cet-9881	130	31	detection	detection	NOUN
cet-9881	130	32	on	on	ADP
cet-9881	130	33	3d	3d	NUM
cet-9881	130	34	asphalt	asphalt	NOUN
cet-9881	130	35	surfaces	surface	NOUN
cet-9881	130	36	using	use	VERB
cet-9881	130	37	a	a	DET
cet-9881	130	38	deep	deep	ADJ
cet-9881	130	39	-	-	PUNCT
cet-9881	130	40	learning	learn	VERB
cet-9881	130	41	network	network	NOUN
cet-9881	130	42	,	,	PUNCT
cet-9881	130	43	computer‐aided	computer‐aide	VERB
cet-9881	130	44	civil	civil	ADJ
cet-9881	130	45	and	and	CCONJ
cet-9881	130	46	infrastructure	infrastructure	NOUN
cet-9881	130	47	engineering	engineering	NOUN
cet-9881	130	48	32	32	NUM
cet-9881	130	49	,	,	PUNCT
cet-9881	130	50	no	no	INTJ
cet-9881	130	51	.	.	NOUN
cet-9881	130	52	10	10	NUM
cet-9881	130	53	,	,	PUNCT
cet-9881	130	54	805	805	NUM
cet-9881	130	55	-	-	SYM
cet-9881	130	56	819	819	NUM
cet-9881	130	57	.	.	PUNCT
cet-9881	131	1	zhu	zhu	PROPN
cet-9881	131	2	w	w	PROPN
cet-9881	131	3	,	,	PUNCT
cet-9881	131	4	sun	sun	PROPN
cet-9881	131	5	w	w	PROPN
cet-9881	131	6	,	,	PUNCT
cet-9881	131	7	romagnoli	romagnoli	PROPN
cet-9881	131	8	j.	j.	PROPN
cet-9881	131	9	,	,	PUNCT
cet-9881	131	10	2018	2018	NUM
cet-9881	131	11	,	,	PUNCT
cet-9881	131	12	adaptive	adaptive	ADJ
cet-9881	131	13	k	k	ADJ
cet-9881	131	14	-	-	PUNCT
cet-9881	131	15	nearest	near	ADJ
cet-9881	131	16	-	-	PUNCT
cet-9881	131	17	neighbor	neighbor	NOUN
cet-9881	131	18	method	method	NOUN
cet-9881	131	19	for	for	ADP
cet-9881	131	20	process	process	NOUN
cet-9881	131	21	monitoring	monitoring	NOUN
cet-9881	131	22	,	,	PUNCT
cet-9881	131	23	industrial	industrial	PROPN
cet-9881	131	24	&	&	CCONJ
cet-9881	131	25	engineering	engineering	NOUN
cet-9881	131	26	chemistry	chemistry	NOUN
cet-9881	131	27	research	research	NOUN
cet-9881	131	28	57	57	NUM
cet-9881	131	29	,	,	PUNCT
cet-9881	131	30	no	no	INTJ
cet-9881	131	31	.	.	NOUN
cet-9881	131	32	7	7	NUM
cet-9881	131	33	,	,	PUNCT
cet-9881	131	34	2574	2574	NUM
cet-9881	131	35	-	-	SYM
cet-9881	131	36	2586	2586	NUM
cet-9881	131	37	.	.	PUNCT
cet-9881	132	1	696	696	NUM