id	sid	tid	token	lemma	pos
esrj-21212	1	1	orozco	orozco	PROPN
esrj-21212	1	2	et	et	PROPN
esrj-21212	1	3	al.indd	al.indd	PROPN
esrj-21212	1	4	earth	earth	PROPN
esrj-21212	1	5	sci	sci	PROPN
esrj-21212	1	6	.	.	PUNCT
esrj-21212	2	1	res	res	PROPN
esrj-21212	2	2	.	.	PUNCT
esrj-21212	3	1	j.	j.	PROPN
esrj-21212	3	2	vol	vol	PROPN
esrj-21212	3	3	.	.	PROPN
esrj-21212	4	1	10	10	NUM
esrj-21212	4	2	,	,	PUNCT
esrj-21212	4	3	no	no	INTJ
esrj-21212	4	4	.	.	NOUN
esrj-21212	4	5	2	2	NUM
esrj-21212	4	6	(	(	PUNCT
esrj-21212	4	7	december	december	PROPN
esrj-21212	4	8	2006	2006	NUM
esrj-21212	4	9	):	):	PUNCT
esrj-21212	4	10	57	57	NUM
esrj-21212	4	11	-	-	SYM
esrj-21212	4	12	65	65	NUM
esrj-21212	4	13	dissimilarity	dissimilarity	NOUN
esrj-21212	4	14	-	-	PUNCT
esrj-21212	4	15	based	base	VERB
esrj-21212	4	16	classification	classification	NOUN
esrj-21212	4	17	of	of	ADP
esrj-21212	4	18	seismic	seismic	ADJ
esrj-21212	4	19	signals	signal	NOUN
esrj-21212	4	20	at	at	ADP
esrj-21212	4	21	nevado	nevado	PROPN
esrj-21212	4	22	del	del	PROPN
esrj-21212	4	23	ruiz	ruiz	PROPN
esrj-21212	4	24	volcano	volcano	PROPN
esrj-21212	4	25	mauricio	mauricio	PROPN
esrj-21212	4	26	orozco1,3	orozco1,3	PROPN
esrj-21212	4	27	,	,	PUNCT
esrj-21212	4	28	marcelo	marcelo	PROPN
esrj-21212	4	29	e.	e.	PROPN
esrj-21212	4	30	garcía	garcía	PROPN
esrj-21212	4	31	2	2	NUM
esrj-21212	4	32	,	,	PUNCT
esrj-21212	4	33	robert	robert	PROPN
esrj-21212	4	34	p.w	p.w	PROPN
esrj-21212	4	35	.	.	PROPN
esrj-21212	4	36	duin	duin	PROPN
esrj-21212	4	37	3	3	NUM
esrj-21212	4	38	,	,	PUNCT
esrj-21212	4	39	and	and	CCONJ
esrj-21212	5	1	césar	césar	PROPN
esrj-21212	5	2	g.	g.	PROPN
esrj-21212	5	3	castellanos1	castellanos1	PROPN
esrj-21212	5	4	1	1	NUM
esrj-21212	5	5	universidad	universidad	PROPN
esrj-21212	5	6	nacional	nacional	PROPN
esrj-21212	5	7	de	de	X
esrj-21212	5	8	colombia	colombia	PROPN
esrj-21212	5	9	sede	sede	NOUN
esrj-21212	5	10	manizales	manizales	PROPN
esrj-21212	5	11	,	,	PUNCT
esrj-21212	5	12	grupo	grupo	PROPN
esrj-21212	5	13	de	de	PROPN
esrj-21212	5	14	control	control	PROPN
esrj-21212	5	15	y	y	PROPN
esrj-21212	5	16	procesamiento	procesamiento	PROPN
esrj-21212	5	17	digital	digital	PROPN
esrj-21212	5	18	de	de	X
esrj-21212	5	19	señales	señale	NOUN
esrj-21212	5	20	,	,	PUNCT
esrj-21212	5	21	campus	campus	PROPN
esrj-21212	5	22	la	la	PROPN
esrj-21212	5	23	nubia	nubia	PROPN
esrj-21212	5	24	,	,	PUNCT
esrj-21212	5	25	km	km	PROPN
esrj-21212	5	26	7	7	NUM
esrj-21212	5	27	vía	vía	PROPN
esrj-21212	5	28	al	al	PROPN
esrj-21212	5	29	magdalena	magdalena	PROPN
esrj-21212	5	30	,	,	PUNCT
esrj-21212	5	31	manizales	manizales	PROPN
esrj-21212	5	32	,	,	PUNCT
esrj-21212	5	33	colombia	colombia	PROPN
esrj-21212	5	34	.	.	PUNCT
esrj-21212	6	1	2ingeominas	2ingeominas	NUM
esrj-21212	6	2	observatorio	observatorio	NOUN
esrj-21212	6	3	vulcanológico	vulcanológico	NOUN
esrj-21212	6	4	y	y	PROPN
esrj-21212	6	5	sismológico	sismológico	PROPN
esrj-21212	6	6	de	de	ADP
esrj-21212	6	7	manizales	manizales	PROPN
esrj-21212	6	8	,	,	PUNCT
esrj-21212	6	9	avenida	avenida	PROPN
esrj-21212	6	10	12	12	NUM
esrj-21212	6	11	de	de	PROPN
esrj-21212	6	12	octubre	octubre	PROPN
esrj-21212	6	13	no	no	INTJ
esrj-21212	6	14	.	.	NOUN
esrj-21212	6	15	15	15	NUM
esrj-21212	6	16	-	-	SYM
esrj-21212	6	17	47	47	NUM
esrj-21212	6	18	,	,	PUNCT
esrj-21212	6	19	manizales	manizales	PROPN
esrj-21212	6	20	,	,	PUNCT
esrj-21212	6	21	colombia	colombia	PROPN
esrj-21212	6	22	.	.	PUNCT
esrj-21212	7	1	3information	3information	NUM
esrj-21212	7	2	and	and	CCONJ
esrj-21212	7	3	communication	communication	NOUN
esrj-21212	7	4	theory	theory	NOUN
esrj-21212	7	5	group	group	NOUN
esrj-21212	7	6	,	,	PUNCT
esrj-21212	7	7	mekelweg	mekelweg	NOUN
esrj-21212	7	8	4	4	NUM
esrj-21212	7	9	,	,	PUNCT
esrj-21212	7	10	2628	2628	NUM
esrj-21212	7	11	cd	cd	PROPN
esrj-21212	7	12	delft	delft	PROPN
esrj-21212	7	13	,	,	PUNCT
esrj-21212	7	14	delft	delft	PROPN
esrj-21212	7	15	university	university	PROPN
esrj-21212	7	16	of	of	ADP
esrj-21212	7	17	technology	technology	NOUN
esrj-21212	7	18	,	,	PUNCT
esrj-21212	7	19	the	the	DET
esrj-21212	7	20	netherlands	netherlands	PROPN
esrj-21212	7	21	.	.	PUNCT
esrj-21212	8	1	corresponding	correspond	VERB
esrj-21212	8	2	author	author	NOUN
esrj-21212	8	3	:	:	PUNCT
esrj-21212	8	4	mauricio	mauricio	PROPN
esrj-21212	8	5	orozco	orozco	PROPN
esrj-21212	8	6	,	,	PUNCT
esrj-21212	8	7	e	e	NOUN
esrj-21212	8	8	-	-	NOUN
esrj-21212	8	9	mail	mail	NOUN
esrj-21212	8	10	:	:	PUNCT
esrj-21212	8	11	morozcoa@unal.edu.co	morozcoa@unal.edu.co	ADJ
esrj-21212	8	12	abstract	abstract	ADJ
esrj-21212	8	13	automatic	automatic	ADJ
esrj-21212	8	14	classification	classification	NOUN
esrj-21212	8	15	of	of	ADP
esrj-21212	8	16	seismic	seismic	ADJ
esrj-21212	8	17	signals	signal	NOUN
esrj-21212	8	18	has	have	AUX
esrj-21212	8	19	been	be	AUX
esrj-21212	8	20	typically	typically	ADV
esrj-21212	8	21	carried	carry	VERB
esrj-21212	8	22	out	out	ADP
esrj-21212	8	23	on	on	ADP
esrj-21212	8	24	feature	feature	NOUN
esrj-21212	8	25	-	-	PUNCT
esrj-21212	8	26	based	base	VERB
esrj-21212	8	27	representations	representation	NOUN
esrj-21212	8	28	.	.	PUNCT
esrj-21212	9	1	recent	recent	ADJ
esrj-21212	9	2	research	research	NOUN
esrj-21212	9	3	works	work	NOUN
esrj-21212	9	4	have	have	AUX
esrj-21212	9	5	shown	show	VERB
esrj-21212	9	6	that	that	SCONJ
esrj-21212	9	7	constructing	construct	VERB
esrj-21212	9	8	classifiers	classifier	NOUN
esrj-21212	9	9	on	on	ADP
esrj-21212	9	10	dissimilarity	dissimilarity	NOUN
esrj-21212	9	11	representations	representation	NOUN
esrj-21212	9	12	is	be	AUX
esrj-21212	9	13	a	a	DET
esrj-21212	9	14	more	more	ADV
esrj-21212	9	15	practical	practical	ADJ
esrj-21212	9	16	and	and	CCONJ
esrj-21212	9	17	,	,	PUNCT
esrj-21212	9	18	sometimes	sometimes	ADV
esrj-21212	9	19	,	,	PUNCT
esrj-21212	9	20	a	a	DET
esrj-21212	9	21	more	more	ADV
esrj-21212	9	22	accurate	accurate	ADJ
esrj-21212	9	23	solution	solution	NOUN
esrj-21212	9	24	for	for	ADP
esrj-21212	9	25	some	some	DET
esrj-21212	9	26	pattern	pattern	NOUN
esrj-21212	9	27	recognition	recognition	NOUN
esrj-21212	9	28	problems	problem	NOUN
esrj-21212	9	29	.	.	PUNCT
esrj-21212	10	1	in	in	ADP
esrj-21212	10	2	this	this	DET
esrj-21212	10	3	paper	paper	NOUN
esrj-21212	10	4	,	,	PUNCT
esrj-21212	10	5	we	we	PRON
esrj-21212	10	6	consider	consider	VERB
esrj-21212	10	7	bayesian	bayesian	NOUN
esrj-21212	10	8	classifiers	classifier	NOUN
esrj-21212	10	9	constructed	construct	VERB
esrj-21212	10	10	on	on	ADP
esrj-21212	10	11	dissimilarity	dissimilarity	NOUN
esrj-21212	10	12	representations	representation	NOUN
esrj-21212	10	13	.	.	PUNCT
esrj-21212	11	1	we	we	PRON
esrj-21212	11	2	show	show	VERB
esrj-21212	11	3	that	that	SCONJ
esrj-21212	11	4	such	such	ADJ
esrj-21212	11	5	classifiers	classifier	NOUN
esrj-21212	11	6	are	be	AUX
esrj-21212	11	7	a	a	DET
esrj-21212	11	8	feasible	feasible	ADJ
esrj-21212	11	9	and	and	CCONJ
esrj-21212	11	10	reliable	reliable	ADJ
esrj-21212	11	11	alternative	alternative	NOUN
esrj-21212	11	12	for	for	ADP
esrj-21212	11	13	automatic	automatic	ADJ
esrj-21212	11	14	classification	classification	NOUN
esrj-21212	11	15	of	of	ADP
esrj-21212	11	16	seismic	seismic	ADJ
esrj-21212	11	17	signals	signal	NOUN
esrj-21212	11	18	.	.	PUNCT
esrj-21212	12	1	our	our	PRON
esrj-21212	12	2	experiments	experiment	NOUN
esrj-21212	12	3	were	be	AUX
esrj-21212	12	4	conducted	conduct	VERB
esrj-21212	12	5	on	on	ADP
esrj-21212	12	6	a	a	DET
esrj-21212	12	7	dataset	dataset	NOUN
esrj-21212	12	8	containing	contain	VERB
esrj-21212	12	9	seismic	seismic	ADJ
esrj-21212	12	10	signals	signal	NOUN
esrj-21212	12	11	recorded	record	VERB
esrj-21212	12	12	by	by	ADP
esrj-21212	12	13	two	two	NUM
esrj-21212	12	14	selected	select	VERB
esrj-21212	12	15	stations	station	NOUN
esrj-21212	12	16	of	of	ADP
esrj-21212	12	17	the	the	DET
esrj-21212	12	18	monitoring	monitoring	NOUN
esrj-21212	12	19	network	network	NOUN
esrj-21212	12	20	at	at	ADP
esrj-21212	12	21	nevado	nevado	PROPN
esrj-21212	12	22	del	del	PROPN
esrj-21212	12	23	ruiz	ruiz	PROPN
esrj-21212	12	24	volcano	volcano	PROPN
esrj-21212	12	25	.	.	PUNCT
esrj-21212	13	1	dissimilarity	dissimilarity	NOUN
esrj-21212	13	2	representations	representation	NOUN
esrj-21212	13	3	were	be	AUX
esrj-21212	13	4	constructed	construct	VERB
esrj-21212	13	5	by	by	ADP
esrj-21212	13	6	calculating	calculate	VERB
esrj-21212	13	7	pairwise	pairwise	NOUN
esrj-21212	13	8	euclidean	euclidean	ADJ
esrj-21212	13	9	distances	distance	NOUN
esrj-21212	13	10	and	and	CCONJ
esrj-21212	13	11	a	a	DET
esrj-21212	13	12	non	non	ADJ
esrj-21212	13	13	-	-	ADJ
esrj-21212	13	14	euclidean	euclidean	ADJ
esrj-21212	13	15	measure	measure	NOUN
esrj-21212	13	16	on	on	ADP
esrj-21212	13	17	the	the	DET
esrj-21212	13	18	normalized	normalize	VERB
esrj-21212	13	19	spectra	spectra	NOUN
esrj-21212	13	20	,	,	PUNCT
esrj-21212	13	21	which	which	PRON
esrj-21212	13	22	is	be	AUX
esrj-21212	13	23	based	base	VERB
esrj-21212	13	24	on	on	ADP
esrj-21212	13	25	the	the	DET
esrj-21212	13	26	difference	difference	NOUN
esrj-21212	13	27	in	in	ADP
esrj-21212	13	28	area	area	NOUN
esrj-21212	13	29	between	between	ADP
esrj-21212	13	30	spectral	spectral	ADJ
esrj-21212	13	31	curves	curve	NOUN
esrj-21212	13	32	.	.	PUNCT
esrj-21212	14	1	results	result	NOUN
esrj-21212	14	2	show	show	VERB
esrj-21212	14	3	that	that	SCONJ
esrj-21212	14	4	even	even	ADV
esrj-21212	14	5	though	though	SCONJ
esrj-21212	14	6	euclidean	euclidean	ADJ
esrj-21212	14	7	dissimilarities	dissimilarity	NOUN
esrj-21212	14	8	have	have	VERB
esrj-21212	14	9	advantageous	advantageous	ADJ
esrj-21212	14	10	properties	property	NOUN
esrj-21212	14	11	,	,	PUNCT
esrj-21212	14	12	non	non	ADJ
esrj-21212	14	13	-	-	ADJ
esrj-21212	14	14	euclidean	euclidean	ADJ
esrj-21212	14	15	measures	measure	NOUN
esrj-21212	14	16	can	can	AUX
esrj-21212	14	17	be	be	AUX
esrj-21212	14	18	beneficial	beneficial	ADJ
esrj-21212	14	19	for	for	ADP
esrj-21212	14	20	matching	match	VERB
esrj-21212	14	21	spectra	spectra	NOUN
esrj-21212	14	22	of	of	ADP
esrj-21212	14	23	seismic	seismic	ADJ
esrj-21212	14	24	signals	signal	NOUN
esrj-21212	14	25	.	.	PUNCT
esrj-21212	15	1	key	key	ADJ
esrj-21212	15	2	words	word	NOUN
esrj-21212	15	3	:	:	PUNCT
esrj-21212	15	4	classification	classification	NOUN
esrj-21212	15	5	,	,	PUNCT
esrj-21212	15	6	dissimilarity	dissimilarity	NOUN
esrj-21212	15	7	,	,	PUNCT
esrj-21212	15	8	nevado	nevado	PROPN
esrj-21212	15	9	del	del	PROPN
esrj-21212	15	10	ruiz	ruiz	PROPN
esrj-21212	15	11	volcano	volcano	PROPN
esrj-21212	15	12	,	,	PUNCT
esrj-21212	15	13	seismic	seismic	ADJ
esrj-21212	15	14	signals	signal	NOUN
esrj-21212	15	15	.	.	PUNCT
esrj-21212	16	1	resumen	resuman	NOUN
esrj-21212	16	2	la	la	PROPN
esrj-21212	16	3	clasificación	clasificación	PROPN
esrj-21212	16	4	automática	automática	PROPN
esrj-21212	16	5	de	de	PROPN
esrj-21212	16	6	señales	señales	PROPN
esrj-21212	16	7	sísmicas	sísmicas	PROPN
esrj-21212	16	8	se	se	PROPN
esrj-21212	16	9	ha	ha	PROPN
esrj-21212	16	10	llevado	llevado	PROPN
esrj-21212	16	11	a	a	DET
esrj-21212	16	12	cabo	cabo	NOUN
esrj-21212	16	13	típicamente	típicamente	NOUN
esrj-21212	16	14	sobre	sobre	PROPN
esrj-21212	16	15	representaciones	representacione	VERB
esrj-21212	16	16	de	de	X
esrj-21212	16	17	características	características	X
esrj-21212	16	18	.	.	PUNCT
esrj-21212	17	1	trabajos	trabajos	PROPN
esrj-21212	17	2	de	de	PROPN
esrj-21212	17	3	investigación	investigación	PROPN
esrj-21212	17	4	recientes	reciente	VERB
esrj-21212	17	5	han	han	PROPN
esrj-21212	17	6	mostrado	mostrado	PROPN
esrj-21212	17	7	que	que	PROPN
esrj-21212	17	8	construir	construir	PROPN
esrj-21212	17	9	clasificadores	clasificadores	PROPN
esrj-21212	17	10	sobre	sobre	PROPN
esrj-21212	17	11	representaciones	representacione	VERB
esrj-21212	17	12	de	de	ADP
esrj-21212	17	13	disimilitud	disimilitud	NOUN
esrj-21212	17	14	es	es	X
esrj-21212	17	15	una	una	PROPN
esrj-21212	17	16	solución	solución	PROPN
esrj-21212	17	17	más	más	PROPN
esrj-21212	17	18	práctica	práctica	PROPN
esrj-21212	17	19	y	y	PROPN
esrj-21212	17	20	,	,	PUNCT
esrj-21212	17	21	algunas	alguna	NOUN
esrj-21212	17	22	veces	vece	NOUN
esrj-21212	17	23	,	,	PUNCT
esrj-21212	17	24	más	más	ADJ
esrj-21212	17	25	precisa	precisa	NOUN
esrj-21212	17	26	para	para	PROPN
esrj-21212	17	27	ciertos	cierto	VERB
esrj-21212	17	28	problemas	problemas	PROPN
esrj-21212	17	29	de	de	PROPN
esrj-21212	17	30	reconocimiento	reconocimiento	PROPN
esrj-21212	17	31	de	de	PROPN
esrj-21212	17	32	patrones	patrones	PROPN
esrj-21212	17	33	.	.	PUNCT
esrj-21212	18	1	en	en	PROPN
esrj-21212	18	2	este	este	PROPN
esrj-21212	18	3	artículo	artículo	PROPN
esrj-21212	18	4	consideramos	consideramos	PROPN
esrj-21212	18	5	clasificadores	clasificadore	NOUN
esrj-21212	18	6	bayesianos	bayesianos	PROPN
esrj-21212	18	7	construidos	construido	NOUN
esrj-21212	18	8	sobre	sobre	PROPN
esrj-21212	18	9	representaciones	representacione	VERB
esrj-21212	18	10	de	de	X
esrj-21212	18	11	disimilitud	disimilitud	NOUN
esrj-21212	18	12	.	.	PUNCT
esrj-21212	19	1	mostramos	mostramos	PROPN
esrj-21212	19	2	que	que	PROPN
esrj-21212	19	3	tales	tales	PROPN
esrj-21212	19	4	clasificadores	clasificadore	NOUN
esrj-21212	19	5	son	son	NOUN
esrj-21212	19	6	una	una	PROPN
esrj-21212	19	7	alternativa	alternativa	PROPN
esrj-21212	19	8	viable	viable	PROPN
esrj-21212	19	9	y	y	PROPN
esrj-21212	19	10	confiable	confiable	PROPN
esrj-21212	19	11	para	para	PROPN
esrj-21212	19	12	la	la	PROPN
esrj-21212	19	13	clasificación	clasificación	PROPN
esrj-21212	19	14	automática	automática	PROPN
esrj-21212	19	15	de	de	PROPN
esrj-21212	19	16	señales	señales	PROPN
esrj-21212	19	17	sísmicas	sísmicas	ADV
esrj-21212	19	18	.	.	PUNCT
esrj-21212	20	1	nuestros	nuestro	NOUN
esrj-21212	20	2	experimentos	experimentos	PROPN
esrj-21212	20	3	fueron	fueron	PROPN
esrj-21212	20	4	llevados	llevado	VERB
esrj-21212	20	5	a	a	DET
esrj-21212	20	6	cabo	cabo	NOUN
esrj-21212	20	7	sobre	sobre	PROPN
esrj-21212	20	8	57	57	NUM
esrj-21212	20	9	earth	earth	PROPN
esrj-21212	20	10	sciences	sciences	PROPN
esrj-21212	20	11	research	research	PROPN
esrj-21212	20	12	journal	journal	PROPN
esrj-21212	20	13	manuscript	manuscript	NOUN
esrj-21212	20	14	received	receive	VERB
esrj-21212	20	15	july	july	PROPN
esrj-21212	20	16	5	5	NUM
esrj-21212	20	17	2006	2006	NUM
esrj-21212	20	18	.	.	PUNCT
esrj-21212	21	1	accepted	accept	VERB
esrj-21212	21	2	for	for	ADP
esrj-21212	21	3	publication	publication	NOUN
esrj-21212	21	4	october	october	PROPN
esrj-21212	21	5	24	24	NUM
esrj-21212	21	6	2006	2006	NUM
esrj-21212	21	7	.	.	PUNCT
esrj-21212	22	1	una	una	PROPN
esrj-21212	22	2	base	base	PROPN
esrj-21212	22	3	de	de	PROPN
esrj-21212	22	4	datos	datos	X
esrj-21212	22	5	que	que	PROPN
esrj-21212	22	6	contiene	contiene	PROPN
esrj-21212	22	7	señales	señales	PROPN
esrj-21212	22	8	sísmicas	sísmicas	PROPN
esrj-21212	22	9	detectadas	detectadas	PROPN
esrj-21212	22	10	por	por	NOUN
esrj-21212	22	11	dos	do	NOUN
esrj-21212	22	12	estaciones	estaciones	PROPN
esrj-21212	22	13	seleccionadas	seleccionadas	PROPN
esrj-21212	22	14	de	de	X
esrj-21212	22	15	la	la	X
esrj-21212	22	16	red	red	PROPN
esrj-21212	22	17	de	de	PROPN
esrj-21212	22	18	monitoreo	monitoreo	PROPN
esrj-21212	22	19	del	del	PROPN
esrj-21212	22	20	volcán	volcán	PROPN
esrj-21212	22	21	nevado	nevado	PROPN
esrj-21212	22	22	del	del	PROPN
esrj-21212	22	23	ruiz	ruiz	PROPN
esrj-21212	22	24	.	.	PUNCT
esrj-21212	23	1	las	las	PROPN
esrj-21212	23	2	representaciones	representaciones	PROPN
esrj-21212	23	3	de	de	X
esrj-21212	23	4	disimilitud	disimilitud	PROPN
esrj-21212	23	5	fueron	fueron	PROPN
esrj-21212	23	6	construidas	construidas	PROPN
esrj-21212	23	7	mediante	mediante	PROPN
esrj-21212	23	8	el	el	PROPN
esrj-21212	23	9	cálculo	cálculo	PROPN
esrj-21212	23	10	de	de	PROPN
esrj-21212	23	11	distancias	distancias	PROPN
esrj-21212	23	12	euclidianas	euclidianas	PROPN
esrj-21212	23	13	y	y	PROPN
esrj-21212	23	14	de	de	PROPN
esrj-21212	23	15	una	una	PROPN
esrj-21212	23	16	medida	medida	PROPN
esrj-21212	24	1	no	no	INTJ
esrj-21212	24	2	euclidiana	euclidiana	PROPN
esrj-21212	24	3	sobre	sobre	PROPN
esrj-21212	24	4	los	los	PROPN
esrj-21212	24	5	espectros	espectros	PROPN
esrj-21212	24	6	normalizados	normalizado	NOUN
esrj-21212	24	7	,	,	PUNCT
esrj-21212	24	8	ésta	ésta	PROPN
esrj-21212	24	9	última	última	PROPN
esrj-21212	24	10	está	está	PROPN
esrj-21212	24	11	basada	basada	PROPN
esrj-21212	24	12	en	en	PROPN
esrj-21212	24	13	la	la	PROPN
esrj-21212	24	14	diferencia	diferencia	PROPN
esrj-21212	24	15	de	de	PROPN
esrj-21212	24	16	área	área	PROPN
esrj-21212	24	17	entre	entre	PROPN
esrj-21212	24	18	curvas	curvas	PROPN
esrj-21212	24	19	espectrales	espectrale	NOUN
esrj-21212	24	20	.	.	PUNCT
esrj-21212	25	1	los	los	PROPN
esrj-21212	25	2	resultados	resultado	VERB
esrj-21212	25	3	muestran	muestran	ADJ
esrj-21212	25	4	que	que	PROPN
esrj-21212	25	5	aunque	aunque	PROPN
esrj-21212	25	6	las	las	PROPN
esrj-21212	25	7	disimilitudes	disimilitudes	PROPN
esrj-21212	25	8	euclidianas	euclidianas	PROPN
esrj-21212	25	9	tienen	tienen	PROPN
esrj-21212	25	10	propiedades	propiedades	PROPN
esrj-21212	25	11	ventajosas	ventajosas	PROPN
esrj-21212	25	12	,	,	PUNCT
esrj-21212	25	13	las	las	PROPN
esrj-21212	25	14	medidas	medidas	PROPN
esrj-21212	25	15	no	no	DET
esrj-21212	25	16	euclidianas	euclidianas	PROPN
esrj-21212	25	17	pueden	pueden	ADJ
esrj-21212	25	18	resultar	resultar	PROPN
esrj-21212	25	19	benéficas	benéficas	PROPN
esrj-21212	25	20	para	para	PROPN
esrj-21212	25	21	comparar	comparar	PROPN
esrj-21212	25	22	espectros	espectros	PROPN
esrj-21212	25	23	de	de	PROPN
esrj-21212	25	24	señales	señales	PROPN
esrj-21212	25	25	sísmicas	sísmicas	ADV
esrj-21212	25	26	.	.	PUNCT
esrj-21212	26	1	palabras	palabra	NOUN
esrj-21212	26	2	claves	clave	NOUN
esrj-21212	26	3	:	:	PUNCT
esrj-21212	26	4	clasificación	clasificación	PROPN
esrj-21212	26	5	,	,	PUNCT
esrj-21212	26	6	disimilitud	disimilitud	NOUN
esrj-21212	26	7	,	,	PUNCT
esrj-21212	26	8	volcán	volcán	PROPN
esrj-21212	26	9	nevado	nevado	PROPN
esrj-21212	26	10	del	del	PROPN
esrj-21212	26	11	ruiz	ruiz	PROPN
esrj-21212	26	12	,	,	PUNCT
esrj-21212	26	13	señales	señale	NOUN
esrj-21212	26	14	sísmicas	sísmicas	NOUN
esrj-21212	26	15	.	.	PUNCT
esrj-21212	27	1	introduction	introduction	NOUN
esrj-21212	27	2	nevado	nevado	PROPN
esrj-21212	27	3	del	del	PROPN
esrj-21212	27	4	ruiz	ruiz	PROPN
esrj-21212	27	5	volcano	volcano	PROPN
esrj-21212	27	6	(	(	PUNCT
esrj-21212	27	7	nrv	nrv	PROPN
esrj-21212	27	8	)	)	PUNCT
esrj-21212	27	9	is	be	AUX
esrj-21212	27	10	capped	cap	VERB
esrj-21212	27	11	by	by	ADP
esrj-21212	27	12	a	a	DET
esrj-21212	27	13	large	large	ADJ
esrj-21212	27	14	volume	volume	NOUN
esrj-21212	27	15	of	of	ADP
esrj-21212	27	16	snow	snow	NOUN
esrj-21212	27	17	and	and	CCONJ
esrj-21212	27	18	ice	ice	NOUN
esrj-21212	27	19	,	,	PUNCT
esrj-21212	27	20	forming	form	VERB
esrj-21212	27	21	a	a	DET
esrj-21212	27	22	glacier	glacier	NOUN
esrj-21212	27	23	which	which	PRON
esrj-21212	27	24	has	have	VERB
esrj-21212	27	25	a	a	DET
esrj-21212	27	26	volume	volume	NOUN
esrj-21212	27	27	of	of	ADP
esrj-21212	27	28	about	about	ADP
esrj-21212	27	29	1200~1500	1200~1500	NUM
esrj-21212	27	30	million	million	NUM
esrj-21212	27	31	cubic	cubic	ADJ
esrj-21212	27	32	meters	meter	NOUN
esrj-21212	27	33	.	.	PUNCT
esrj-21212	28	1	nrv	nrv	PROPN
esrj-21212	28	2	has	have	VERB
esrj-21212	28	3	three	three	NUM
esrj-21212	28	4	craters	crater	NOUN
esrj-21212	28	5	:	:	PUNCT
esrj-21212	28	6	arenas	arena	NOUN
esrj-21212	28	7	—	—	PUNCT
esrj-21212	28	8	the	the	DET
esrj-21212	28	9	currently	currently	ADV
esrj-21212	28	10	active	active	ADJ
esrj-21212	28	11	vent	vent	NOUN
esrj-21212	28	12	—	—	PUNCT
esrj-21212	28	13	,	,	PUNCT
esrj-21212	28	14	and	and	CCONJ
esrj-21212	28	15	two	two	NUM
esrj-21212	28	16	parasite	parasite	ADJ
esrj-21212	28	17	craters	crater	NOUN
esrj-21212	28	18	:	:	PUNCT
esrj-21212	28	19	olleta	olleta	ADJ
esrj-21212	28	20	and	and	CCONJ
esrj-21212	28	21	piraña	piraña	NOUN
esrj-21212	28	22	.	.	PUNCT
esrj-21212	29	1	since	since	SCONJ
esrj-21212	29	2	the	the	DET
esrj-21212	29	3	start	start	NOUN
esrj-21212	29	4	of	of	ADP
esrj-21212	29	5	digital	digital	ADJ
esrj-21212	29	6	recording	recording	NOUN
esrj-21212	29	7	at	at	ADP
esrj-21212	29	8	the	the	DET
esrj-21212	29	9	volcanological	volcanological	ADJ
esrj-21212	29	10	and	and	CCONJ
esrj-21212	29	11	seismological	seismological	ADJ
esrj-21212	29	12	observatory	observatory	NOUN
esrj-21212	29	13	in	in	ADP
esrj-21212	29	14	manizales	manizales	PROPN
esrj-21212	29	15	(	(	PUNCT
esrj-21212	29	16	vsom	vsom	NOUN
esrj-21212	29	17	)	)	PUNCT
esrj-21212	29	18	,	,	PUNCT
esrj-21212	29	19	a	a	DET
esrj-21212	29	20	large	large	ADJ
esrj-21212	29	21	and	and	CCONJ
esrj-21212	29	22	increasing	increase	VERB
esrj-21212	29	23	amount	amount	NOUN
esrj-21212	29	24	of	of	ADP
esrj-21212	29	25	data	datum	NOUN
esrj-21212	29	26	has	have	AUX
esrj-21212	29	27	been	be	AUX
esrj-21212	29	28	recorded	record	VERB
esrj-21212	29	29	by	by	ADP
esrj-21212	29	30	the	the	DET
esrj-21212	29	31	monitoring	monitoring	NOUN
esrj-21212	29	32	networks	network	NOUN
esrj-21212	29	33	.	.	PUNCT
esrj-21212	30	1	classification	classification	NOUN
esrj-21212	30	2	of	of	ADP
esrj-21212	30	3	seismic	seismic	ADJ
esrj-21212	30	4	signals	signal	NOUN
esrj-21212	30	5	is	be	AUX
esrj-21212	30	6	a	a	DET
esrj-21212	30	7	crucial	crucial	ADJ
esrj-21212	30	8	issue	issue	NOUN
esrj-21212	30	9	in	in	ADP
esrj-21212	30	10	order	order	NOUN
esrj-21212	30	11	to	to	PART
esrj-21212	30	12	discover	discover	VERB
esrj-21212	30	13	the	the	DET
esrj-21212	30	14	interaction	interaction	NOUN
esrj-21212	30	15	between	between	ADP
esrj-21212	30	16	volcanic	volcanic	ADJ
esrj-21212	30	17	earthquakes	earthquake	NOUN
esrj-21212	30	18	and	and	CCONJ
esrj-21212	30	19	volcanic	volcanic	ADJ
esrj-21212	30	20	processes	process	NOUN
esrj-21212	30	21	.	.	PUNCT
esrj-21212	31	1	the	the	DET
esrj-21212	31	2	database	database	NOUN
esrj-21212	31	3	available	available	ADJ
esrj-21212	31	4	from	from	ADP
esrj-21212	31	5	vsom	vsom	PROPN
esrj-21212	31	6	is	be	AUX
esrj-21212	31	7	suitable	suitable	ADJ
esrj-21212	31	8	for	for	ADP
esrj-21212	31	9	applying	apply	VERB
esrj-21212	31	10	automatic	automatic	ADJ
esrj-21212	31	11	classification	classification	NOUN
esrj-21212	31	12	/	/	SYM
esrj-21212	31	13	learning	learn	VERB
esrj-21212	31	14	techniques	technique	NOUN
esrj-21212	31	15	.	.	PUNCT
esrj-21212	32	1	in	in	ADP
esrj-21212	32	2	this	this	DET
esrj-21212	32	3	study	study	NOUN
esrj-21212	32	4	,	,	PUNCT
esrj-21212	32	5	we	we	PRON
esrj-21212	32	6	consider	consider	VERB
esrj-21212	32	7	three	three	NUM
esrj-21212	32	8	classes	class	NOUN
esrj-21212	32	9	of	of	ADP
esrj-21212	32	10	seismic	seismic	ADJ
esrj-21212	32	11	signals	signal	NOUN
esrj-21212	32	12	originating	originate	VERB
esrj-21212	32	13	from	from	ADP
esrj-21212	32	14	nrv	nrv	PROPN
esrj-21212	32	15	:	:	PUNCT
esrj-21212	32	16	volcanotectonic	volcanotectonic	PROPN
esrj-21212	32	17	(	(	PUNCT
esrj-21212	32	18	vt	vt	NOUN
esrj-21212	32	19	)	)	PUNCT
esrj-21212	32	20	earthquakes	earthquake	NOUN
esrj-21212	32	21	,	,	PUNCT
esrj-21212	32	22	long	long	ADJ
esrj-21212	32	23	-	-	PUNCT
esrj-21212	32	24	period	period	NOUN
esrj-21212	32	25	(	(	PUNCT
esrj-21212	32	26	lp	lp	NOUN
esrj-21212	32	27	)	)	PUNCT
esrj-21212	32	28	earthquakes	earthquake	NOUN
esrj-21212	32	29	and	and	CCONJ
esrj-21212	32	30	icequakes	icequake	NOUN
esrj-21212	32	31	(	(	PUNCT
esrj-21212	32	32	ic	ic	NUM
esrj-21212	32	33	)	)	PUNCT
esrj-21212	32	34	;	;	PUNCT
esrj-21212	32	35	of	of	ADP
esrj-21212	32	36	course	course	NOUN
esrj-21212	32	37	,	,	PUNCT
esrj-21212	32	38	for	for	ADP
esrj-21212	32	39	every	every	DET
esrj-21212	32	40	seismically	seismically	ADV
esrj-21212	32	41	monitored	monitor	VERB
esrj-21212	32	42	volcano	volcano	NOUN
esrj-21212	32	43	,	,	PUNCT
esrj-21212	32	44	seismologists	seismologist	NOUN
esrj-21212	32	45	use	use	VERB
esrj-21212	32	46	their	their	PRON
esrj-21212	32	47	own	own	ADJ
esrj-21212	32	48	classification	classification	NOUN
esrj-21212	32	49	with	with	ADP
esrj-21212	32	50	more	more	ADV
esrj-21212	32	51	detailed	detailed	ADJ
esrj-21212	32	52	descriptions	description	NOUN
esrj-21212	32	53	of	of	ADP
esrj-21212	32	54	every	every	DET
esrj-21212	32	55	subtype	subtype	NOUN
esrj-21212	32	56	of	of	ADP
esrj-21212	32	57	earthquakes	earthquake	NOUN
esrj-21212	32	58	(	(	PUNCT
esrj-21212	32	59	zobin	zobin	PROPN
esrj-21212	32	60	,	,	PUNCT
esrj-21212	32	61	2003	2003	NUM
esrj-21212	32	62	)	)	PUNCT
esrj-21212	32	63	.	.	PUNCT
esrj-21212	33	1	vsom	vsom	PROPN
esrj-21212	33	2	staff	staff	NOUN
esrj-21212	33	3	currently	currently	ADV
esrj-21212	33	4	classifies	classify	VERB
esrj-21212	33	5	volcanic	volcanic	ADJ
esrj-21212	33	6	earthquakes	earthquake	NOUN
esrj-21212	33	7	by	by	ADP
esrj-21212	33	8	visual	visual	ADJ
esrj-21212	33	9	inspection	inspection	NOUN
esrj-21212	33	10	;	;	PUNCT
esrj-21212	33	11	such	such	DET
esrj-21212	33	12	a	a	DET
esrj-21212	33	13	method	method	NOUN
esrj-21212	33	14	imposes	impose	VERB
esrj-21212	33	15	a	a	DET
esrj-21212	33	16	great	great	ADJ
esrj-21212	33	17	deal	deal	NOUN
esrj-21212	33	18	of	of	ADP
esrj-21212	33	19	workload	workload	NOUN
esrj-21212	33	20	for	for	ADP
esrj-21212	33	21	the	the	DET
esrj-21212	33	22	seismic	seismic	ADJ
esrj-21212	33	23	analysts	analyst	NOUN
esrj-21212	33	24	.	.	PUNCT
esrj-21212	34	1	in	in	ADP
esrj-21212	34	2	consequence	consequence	NOUN
esrj-21212	34	3	,	,	PUNCT
esrj-21212	34	4	an	an	DET
esrj-21212	34	5	automatic	automatic	ADJ
esrj-21212	34	6	classification	classification	NOUN
esrj-21212	34	7	tool	tool	NOUN
esrj-21212	34	8	dramatically	dramatically	ADV
esrj-21212	34	9	reduces	reduce	VERB
esrj-21212	34	10	this	this	DET
esrj-21212	34	11	arduous	arduous	ADJ
esrj-21212	34	12	task	task	NOUN
esrj-21212	34	13	and	and	CCONJ
esrj-21212	34	14	also	also	ADV
esrj-21212	34	15	makes	make	VERB
esrj-21212	34	16	the	the	DET
esrj-21212	34	17	classification	classification	NOUN
esrj-21212	34	18	reliable	reliable	ADJ
esrj-21212	34	19	and	and	CCONJ
esrj-21212	34	20	objective	objective	ADJ
esrj-21212	34	21	,	,	PUNCT
esrj-21212	34	22	removing	remove	VERB
esrj-21212	34	23	errors	error	NOUN
esrj-21212	34	24	associated	associate	VERB
esrj-21212	34	25	to	to	ADP
esrj-21212	34	26	tedious	tedious	ADJ
esrj-21212	34	27	evaluations	evaluation	NOUN
esrj-21212	34	28	and	and	CCONJ
esrj-21212	34	29	changing	change	VERB
esrj-21212	34	30	of	of	ADP
esrj-21212	34	31	personnel	personnel	NOUN
esrj-21212	34	32	.	.	PUNCT
esrj-21212	35	1	among	among	ADP
esrj-21212	35	2	the	the	DET
esrj-21212	35	3	applications	application	NOUN
esrj-21212	35	4	of	of	ADP
esrj-21212	35	5	pattern	pattern	NOUN
esrj-21212	35	6	recognition	recognition	NOUN
esrj-21212	35	7	techniques	technique	NOUN
esrj-21212	35	8	to	to	ADP
esrj-21212	35	9	volcanic	volcanic	ADJ
esrj-21212	35	10	-	-	PUNCT
esrj-21212	35	11	seismic	seismic	ADJ
esrj-21212	35	12	signals	signal	NOUN
esrj-21212	35	13	,	,	PUNCT
esrj-21212	35	14	two	two	NUM
esrj-21212	35	15	recent	recent	ADJ
esrj-21212	35	16	works	work	NOUN
esrj-21212	35	17	are	be	AUX
esrj-21212	35	18	highlighted	highlight	VERB
esrj-21212	35	19	:	:	PUNCT
esrj-21212	35	20	automatic	automatic	ADJ
esrj-21212	35	21	classification	classification	NOUN
esrj-21212	35	22	of	of	ADP
esrj-21212	35	23	seismic	seismic	ADJ
esrj-21212	35	24	signals	signal	NOUN
esrj-21212	35	25	at	at	ADP
esrj-21212	35	26	mt	mt	PROPN
esrj-21212	35	27	.	.	PROPN
esrj-21212	35	28	vesuvius	vesuvius	PROPN
esrj-21212	35	29	volcano	volcano	PROPN
esrj-21212	35	30	,	,	PUNCT
esrj-21212	35	31	italy	italy	PROPN
esrj-21212	35	32	(	(	PUNCT
esrj-21212	35	33	scarpetta	scarpetta	PROPN
esrj-21212	35	34	et	et	PROPN
esrj-21212	35	35	al	al	PROPN
esrj-21212	35	36	.	.	PROPN
esrj-21212	35	37	,	,	PUNCT
esrj-21212	35	38	2005	2005	NUM
esrj-21212	35	39	)	)	PUNCT
esrj-21212	35	40	and	and	CCONJ
esrj-21212	35	41	automatic	automatic	ADJ
esrj-21212	35	42	classification	classification	NOUN
esrj-21212	35	43	of	of	ADP
esrj-21212	35	44	seismic	seismic	ADJ
esrj-21212	35	45	events	event	NOUN
esrj-21212	35	46	at	at	ADP
esrj-21212	35	47	soufrière	soufrière	NOUN
esrj-21212	35	48	hills	hill	NOUN
esrj-21212	35	49	volcano	volcano	NOUN
esrj-21212	35	50	,	,	PUNCT
esrj-21212	35	51	montserrat	montserrat	PROPN
esrj-21212	35	52	(	(	PUNCT
esrj-21212	35	53	langer	langer	PROPN
esrj-21212	35	54	et	et	PROPN
esrj-21212	35	55	al	al	PROPN
esrj-21212	35	56	.	.	PROPN
esrj-21212	35	57	,	,	PUNCT
esrj-21212	35	58	2006	2006	NUM
esrj-21212	35	59	)	)	PUNCT
esrj-21212	35	60	.	.	PUNCT
esrj-21212	36	1	both	both	PRON
esrj-21212	36	2	of	of	ADP
esrj-21212	36	3	them	they	PRON
esrj-21212	36	4	propose	propose	VERB
esrj-21212	36	5	the	the	DET
esrj-21212	36	6	application	application	NOUN
esrj-21212	36	7	of	of	ADP
esrj-21212	36	8	artificial	artificial	ADJ
esrj-21212	36	9	neural	neural	ADJ
esrj-21212	36	10	networks	network	NOUN
esrj-21212	36	11	(	(	PUNCT
esrj-21212	36	12	ann	ann	PROPN
esrj-21212	36	13	)	)	PUNCT
esrj-21212	36	14	to	to	PART
esrj-21212	36	15	classify	classify	VERB
esrj-21212	36	16	seismic	seismic	ADJ
esrj-21212	36	17	events	event	NOUN
esrj-21212	36	18	.	.	PUNCT
esrj-21212	37	1	the	the	DET
esrj-21212	37	2	former	former	ADJ
esrj-21212	37	3	work	work	NOUN
esrj-21212	37	4	uses	use	VERB
esrj-21212	37	5	a	a	DET
esrj-21212	37	6	multilayer	multilayer	ADJ
esrj-21212	37	7	perceptron	perceptron	NOUN
esrj-21212	37	8	(	(	PUNCT
esrj-21212	37	9	mlp	mlp	NOUN
esrj-21212	37	10	)	)	PUNCT
esrj-21212	37	11	to	to	PART
esrj-21212	37	12	distinguish	distinguish	VERB
esrj-21212	37	13	between	between	ADP
esrj-21212	37	14	vt	vt	NOUN
esrj-21212	37	15	events	event	NOUN
esrj-21212	37	16	and	and	CCONJ
esrj-21212	37	17	transient	transient	ADJ
esrj-21212	37	18	signals	signal	NOUN
esrj-21212	37	19	due	due	ADP
esrj-21212	37	20	to	to	ADP
esrj-21212	37	21	other	other	ADJ
esrj-21212	37	22	sources	source	NOUN
esrj-21212	37	23	such	such	ADJ
esrj-21212	37	24	as	as	ADP
esrj-21212	37	25	underwater	underwater	ADJ
esrj-21212	37	26	explosions	explosion	NOUN
esrj-21212	37	27	,	,	PUNCT
esrj-21212	37	28	quarry	quarry	NOUN
esrj-21212	37	29	blasts	blast	NOUN
esrj-21212	37	30	,	,	PUNCT
esrj-21212	37	31	and	and	CCONJ
esrj-21212	37	32	thunders	thunder	VERB
esrj-21212	37	33	;	;	PUNCT
esrj-21212	37	34	spectral	spectral	ADJ
esrj-21212	37	35	features	feature	NOUN
esrj-21212	37	36	and	and	CCONJ
esrj-21212	37	37	amplitude	amplitude	NOUN
esrj-21212	37	38	parameters	parameter	NOUN
esrj-21212	37	39	are	be	AUX
esrj-21212	37	40	used	use	VERB
esrj-21212	37	41	for	for	ADP
esrj-21212	37	42	characterization	characterization	NOUN
esrj-21212	37	43	.	.	PUNCT
esrj-21212	38	1	in	in	ADP
esrj-21212	38	2	the	the	DET
esrj-21212	38	3	latter	latter	ADJ
esrj-21212	38	4	work	work	NOUN
esrj-21212	38	5	,	,	PUNCT
esrj-21212	38	6	an	an	DET
esrj-21212	38	7	ann	ann	PROPN
esrj-21212	38	8	is	be	AUX
esrj-21212	38	9	used	use	VERB
esrj-21212	38	10	to	to	PART
esrj-21212	38	11	classify	classify	VERB
esrj-21212	38	12	five	five	NUM
esrj-21212	38	13	fundamental	fundamental	ADJ
esrj-21212	38	14	types	type	NOUN
esrj-21212	38	15	of	of	ADP
esrj-21212	38	16	signals	signal	NOUN
esrj-21212	38	17	:	:	PUNCT
esrj-21212	38	18	vt	vt	NOUN
esrj-21212	38	19	events	event	NOUN
esrj-21212	38	20	,	,	PUNCT
esrj-21212	38	21	regional	regional	ADJ
esrj-21212	38	22	(	(	PUNCT
esrj-21212	38	23	re	re	NOUN
esrj-21212	38	24	)	)	PUNCT
esrj-21212	38	25	events	event	NOUN
esrj-21212	38	26	,	,	PUNCT
esrj-21212	38	27	lp	lp	ADJ
esrj-21212	38	28	events	event	NOUN
esrj-21212	38	29	,	,	PUNCT
esrj-21212	38	30	hybrid	hybrid	NOUN
esrj-21212	38	31	(	(	PUNCT
esrj-21212	38	32	hb	hb	NOUN
esrj-21212	38	33	)	)	PUNCT
esrj-21212	38	34	events	event	NOUN
esrj-21212	38	35	and	and	CCONJ
esrj-21212	38	36	rockfalls	rockfall	NOUN
esrj-21212	38	37	(	(	PUNCT
esrj-21212	38	38	roc	roc	PROPN
esrj-21212	38	39	)	)	PUNCT
esrj-21212	38	40	;	;	PUNCT
esrj-21212	38	41	autocorrelation	autocorrelation	NOUN
esrj-21212	38	42	functions	function	NOUN
esrj-21212	38	43	,	,	PUNCT
esrj-21212	38	44	high	high	ADJ
esrj-21212	38	45	order	order	NOUN
esrj-21212	38	46	statistical	statistical	ADJ
esrj-21212	38	47	moments	moment	NOUN
esrj-21212	38	48	and	and	CCONJ
esrj-21212	38	49	amplitude	amplitude	NOUN
esrj-21212	38	50	ratios	ratio	NOUN
esrj-21212	38	51	are	be	AUX
esrj-21212	38	52	introduced	introduce	VERB
esrj-21212	38	53	as	as	ADP
esrj-21212	38	54	features	feature	NOUN
esrj-21212	38	55	to	to	ADP
esrj-21212	38	56	the	the	DET
esrj-21212	38	57	input	input	NOUN
esrj-21212	38	58	nodes	node	NOUN
esrj-21212	38	59	;	;	PUNCT
esrj-21212	38	60	a	a	DET
esrj-21212	38	61	mismatch	mismatch	ADJ
esrj-21212	38	62	rate	rate	NOUN
esrj-21212	38	63	of	of	ADP
esrj-21212	38	64	30	30	NUM
esrj-21212	38	65	%	%	NOUN
esrj-21212	38	66	is	be	AUX
esrj-21212	38	67	reported	report	VERB
esrj-21212	38	68	,	,	PUNCT
esrj-21212	38	69	which	which	PRON
esrj-21212	38	70	was	be	AUX
esrj-21212	38	71	reduced	reduce	VERB
esrj-21212	38	72	up	up	ADP
esrj-21212	38	73	to	to	PART
esrj-21212	38	74	20	20	NUM
esrj-21212	38	75	%	%	NOUN
esrj-21212	38	76	after	after	ADP
esrj-21212	38	77	a	a	DET
esrj-21212	38	78	manual	manual	ADJ
esrj-21212	38	79	revision	revision	NOUN
esrj-21212	38	80	of	of	ADP
esrj-21212	38	81	the	the	DET
esrj-21212	38	82	original	original	ADJ
esrj-21212	38	83	a	a	PRON
esrj-21212	38	84	-	-	PUNCT
esrj-21212	38	85	priori	priori	ADJ
esrj-21212	38	86	classification	classification	NOUN
esrj-21212	38	87	.	.	PUNCT
esrj-21212	39	1	typically	typically	ADV
esrj-21212	39	2	,	,	PUNCT
esrj-21212	39	3	in	in	ADP
esrj-21212	39	4	the	the	DET
esrj-21212	39	5	context	context	NOUN
esrj-21212	39	6	of	of	ADP
esrj-21212	39	7	volcanic	volcanic	ADJ
esrj-21212	39	8	seismology	seismology	NOUN
esrj-21212	39	9	,	,	PUNCT
esrj-21212	39	10	neural	neural	ADJ
esrj-21212	39	11	networks	network	NOUN
esrj-21212	39	12	have	have	AUX
esrj-21212	39	13	been	be	AUX
esrj-21212	39	14	preferred	prefer	VERB
esrj-21212	39	15	rather	rather	ADV
esrj-21212	39	16	than	than	ADP
esrj-21212	39	17	other	other	ADJ
esrj-21212	39	18	classical	classical	ADJ
esrj-21212	39	19	statistical	statistical	ADJ
esrj-21212	39	20	pattern	pattern	NOUN
esrj-21212	39	21	recognition	recognition	NOUN
esrj-21212	39	22	methods	method	NOUN
esrj-21212	39	23	;	;	PUNCT
esrj-21212	39	24	they	they	PRON
esrj-21212	39	25	are	be	AUX
esrj-21212	39	26	still	still	ADV
esrj-21212	39	27	being	be	AUX
esrj-21212	39	28	used	use	VERB
esrj-21212	39	29	for	for	ADP
esrj-21212	39	30	discrimination	discrimination	NOUN
esrj-21212	39	31	of	of	ADP
esrj-21212	39	32	seismic	seismic	ADJ
esrj-21212	39	33	signals	signal	NOUN
esrj-21212	39	34	,	,	PUNCT
esrj-21212	39	35	including	include	VERB
esrj-21212	39	36	modifications	modification	NOUN
esrj-21212	39	37	in	in	ADP
esrj-21212	39	38	the	the	DET
esrj-21212	39	39	feature	feature	NOUN
esrj-21212	39	40	-	-	PUNCT
esrj-21212	39	41	based	base	VERB
esrj-21212	39	42	representation	representation	NOUN
esrj-21212	39	43	(	(	PUNCT
esrj-21212	39	44	e.g.	e.g.	ADV
esrj-21212	39	45	the	the	DET
esrj-21212	39	46	modified	modify	VERB
esrj-21212	39	47	approach	approach	NOUN
esrj-21212	39	48	used	use	VERB
esrj-21212	39	49	in	in	ADP
esrj-21212	39	50	benbrahim	benbrahim	PROPN
esrj-21212	39	51	et	et	PROPN
esrj-21212	39	52	al	al	PROPN
esrj-21212	39	53	.	.	PROPN
esrj-21212	39	54	,	,	PUNCT
esrj-21212	39	55	2005	2005	NUM
esrj-21212	39	56	)	)	PUNCT
esrj-21212	39	57	.	.	PUNCT
esrj-21212	40	1	the	the	DET
esrj-21212	40	2	popularity	popularity	NOUN
esrj-21212	40	3	of	of	ADP
esrj-21212	40	4	neural	neural	ADJ
esrj-21212	40	5	networks	network	NOUN
esrj-21212	40	6	models	model	NOUN
esrj-21212	40	7	to	to	PART
esrj-21212	40	8	solve	solve	VERB
esrj-21212	40	9	pattern	pattern	NOUN
esrj-21212	40	10	recognition	recognition	NOUN
esrj-21212	40	11	problems	problem	NOUN
esrj-21212	40	12	has	have	AUX
esrj-21212	40	13	been	be	AUX
esrj-21212	40	14	primarily	primarily	ADV
esrj-21212	40	15	due	due	ADJ
esrj-21212	40	16	to	to	ADP
esrj-21212	40	17	their	their	PRON
esrj-21212	40	18	seemingly	seemingly	ADV
esrj-21212	40	19	low	low	ADJ
esrj-21212	40	20	dependence	dependence	NOUN
esrj-21212	40	21	on	on	ADP
esrj-21212	40	22	domain	domain	NOUN
esrj-21212	40	23	-	-	PUNCT
esrj-21212	40	24	specific	specific	ADJ
esrj-21212	40	25	knowledge	knowledge	NOUN
esrj-21212	40	26	and	and	CCONJ
esrj-21212	40	27	also	also	ADV
esrj-21212	40	28	because	because	SCONJ
esrj-21212	40	29	of	of	ADP
esrj-21212	40	30	the	the	DET
esrj-21212	40	31	availability	availability	NOUN
esrj-21212	40	32	of	of	ADP
esrj-21212	40	33	efficient	efficient	ADJ
esrj-21212	40	34	learning	learning	NOUN
esrj-21212	40	35	algorithms	algorithm	NOUN
esrj-21212	40	36	(	(	PUNCT
esrj-21212	40	37	jain	jain	PROPN
esrj-21212	40	38	et	et	PROPN
esrj-21212	40	39	al	al	PROPN
esrj-21212	40	40	.	.	PROPN
esrj-21212	40	41	,	,	PUNCT
esrj-21212	40	42	2000	2000	NUM
esrj-21212	40	43	)	)	PUNCT
esrj-21212	40	44	.	.	PUNCT
esrj-21212	41	1	recently	recently	ADV
esrj-21212	41	2	,	,	PUNCT
esrj-21212	41	3	a	a	DET
esrj-21212	41	4	number	number	NOUN
esrj-21212	41	5	of	of	ADP
esrj-21212	41	6	studies	study	NOUN
esrj-21212	41	7	showed	show	VERB
esrj-21212	41	8	advantages	advantage	NOUN
esrj-21212	41	9	of	of	ADP
esrj-21212	41	10	learning	learn	VERB
esrj-21212	41	11	from	from	ADP
esrj-21212	41	12	dissimilarity	dissimilarity	NOUN
esrj-21212	41	13	representations	representation	NOUN
esrj-21212	41	14	as	as	SCONJ
esrj-21212	41	15	opposed	oppose	VERB
esrj-21212	41	16	to	to	ADP
esrj-21212	41	17	learning	learn	VERB
esrj-21212	41	18	from	from	ADP
esrj-21212	41	19	feature	feature	NOUN
esrj-21212	41	20	-	-	PUNCT
esrj-21212	41	21	based	base	VERB
esrj-21212	41	22	representations	representation	NOUN
esrj-21212	41	23	(	(	PUNCT
esrj-21212	41	24	duin	duin	PROPN
esrj-21212	41	25	et	et	PROPN
esrj-21212	41	26	al	al	PROPN
esrj-21212	41	27	.	.	PROPN
esrj-21212	41	28	,	,	PUNCT
esrj-21212	41	29	1998	1998	NUM
esrj-21212	41	30	;	;	PUNCT
esrj-21212	41	31	pękalska	pękalska	NOUN
esrj-21212	41	32	et	et	PROPN
esrj-21212	41	33	al	al	PROPN
esrj-21212	41	34	.	.	PROPN
esrj-21212	41	35	,	,	PUNCT
esrj-21212	41	36	2001	2001	NUM
esrj-21212	41	37	;	;	PUNCT
esrj-21212	41	38	pękalska	pękalska	NOUN
esrj-21212	41	39	and	and	CCONJ
esrj-21212	41	40	duin	duin	PROPN
esrj-21212	41	41	,	,	PUNCT
esrj-21212	41	42	2002	2002	NUM
esrj-21212	41	43	;	;	PUNCT
esrj-21212	41	44	paclík	paclík	NOUN
esrj-21212	41	45	and	and	CCONJ
esrj-21212	41	46	duin	duin	PROPN
esrj-21212	41	47	,	,	PUNCT
esrj-21212	41	48	2003	2003	NUM
esrj-21212	41	49	;	;	PUNCT
esrj-21212	41	50	pękalska	pękalska	NOUN
esrj-21212	41	51	and	and	CCONJ
esrj-21212	41	52	duin	duin	PROPN
esrj-21212	41	53	,	,	PUNCT
esrj-21212	41	54	2005	2005	NUM
esrj-21212	41	55	)	)	PUNCT
esrj-21212	41	56	.	.	PUNCT
esrj-21212	42	1	a	a	DET
esrj-21212	42	2	dissimilarity	dissimilarity	NOUN
esrj-21212	42	3	representation	representation	NOUN
esrj-21212	42	4	of	of	ADP
esrj-21212	42	5	objects	object	NOUN
esrj-21212	42	6	,	,	PUNCT
esrj-21212	42	7	seismic	seismic	ADJ
esrj-21212	42	8	events	event	NOUN
esrj-21212	42	9	in	in	ADP
esrj-21212	42	10	our	our	PRON
esrj-21212	42	11	particular	particular	ADJ
esrj-21212	42	12	case	case	NOUN
esrj-21212	42	13	,	,	PUNCT
esrj-21212	42	14	is	be	AUX
esrj-21212	42	15	based	base	VERB
esrj-21212	42	16	on	on	ADP
esrj-21212	42	17	pairwise	pairwise	NOUN
esrj-21212	42	18	comparisons	comparison	NOUN
esrj-21212	42	19	and	and	CCONJ
esrj-21212	42	20	can	can	AUX
esrj-21212	42	21	be	be	AUX
esrj-21212	42	22	expressed	express	VERB
esrj-21212	42	23	as	as	ADP
esrj-21212	42	24	a	a	DET
esrj-21212	42	25	dissimilarity	dissimilarity	NOUN
esrj-21212	42	26	matrix	matrix	NOUN
esrj-21212	42	27	,	,	PUNCT
esrj-21212	42	28	where	where	SCONJ
esrj-21212	42	29	each	each	DET
esrj-21212	42	30	entry	entry	NOUN
esrj-21212	42	31	corresponds	correspond	VERB
esrj-21212	42	32	to	to	ADP
esrj-21212	42	33	dissimilarity	dissimilarity	NOUN
esrj-21212	42	34	between	between	ADP
esrj-21212	42	35	pairs	pair	NOUN
esrj-21212	42	36	of	of	ADP
esrj-21212	42	37	objects	object	NOUN
esrj-21212	42	38	.	.	PUNCT
esrj-21212	43	1	dissimilarity	dissimilarity	NOUN
esrj-21212	43	2	representations	representation	NOUN
esrj-21212	43	3	are	be	AUX
esrj-21212	43	4	more	more	ADV
esrj-21212	43	5	general	general	ADJ
esrj-21212	43	6	dissimilarity	dissimilarity	NOUN
esrj-21212	43	7	-	-	PUNCT
esrj-21212	43	8	based	base	VERB
esrj-21212	43	9	classification	classification	NOUN
esrj-21212	43	10	of	of	ADP
esrj-21212	43	11	seismic	seismic	ADJ
esrj-21212	43	12	signals	signal	NOUN
esrj-21212	43	13	at	at	ADP
esrj-21212	43	14	nevado	nevado	PROPN
esrj-21212	43	15	del	del	PROPN
esrj-21212	43	16	ruiz	ruiz	PROPN
esrj-21212	43	17	volcano	volcano	NOUN
esrj-21212	43	18	58	58	NUM
esrj-21212	43	19	than	than	ADP
esrj-21212	43	20	feature	feature	NOUN
esrj-21212	43	21	-	-	PUNCT
esrj-21212	43	22	based	base	VERB
esrj-21212	43	23	representations	representation	NOUN
esrj-21212	43	24	;	;	PUNCT
esrj-21212	43	25	in	in	ADP
esrj-21212	43	26	fact	fact	NOUN
esrj-21212	43	27	,	,	PUNCT
esrj-21212	43	28	the	the	DET
esrj-21212	43	29	notion	notion	NOUN
esrj-21212	43	30	of	of	ADP
esrj-21212	43	31	dissimilarity	dissimilarity	NOUN
esrj-21212	43	32	is	be	AUX
esrj-21212	43	33	more	more	ADV
esrj-21212	43	34	fundamental	fundamental	ADJ
esrj-21212	43	35	than	than	ADP
esrj-21212	43	36	that	that	PRON
esrj-21212	43	37	of	of	ADP
esrj-21212	43	38	a	a	DET
esrj-21212	43	39	feature	feature	NOUN
esrj-21212	43	40	(	(	PUNCT
esrj-21212	43	41	pękalska	pękalska	NOUN
esrj-21212	43	42	and	and	CCONJ
esrj-21212	43	43	duin	duin	PROPN
esrj-21212	43	44	,	,	PUNCT
esrj-21212	43	45	2005	2005	NUM
esrj-21212	43	46	)	)	PUNCT
esrj-21212	43	47	.	.	PUNCT
esrj-21212	44	1	for	for	ADP
esrj-21212	44	2	dissimilarities	dissimilarity	NOUN
esrj-21212	44	3	the	the	DET
esrj-21212	44	4	geometry	geometry	NOUN
esrj-21212	44	5	is	be	AUX
esrj-21212	44	6	contained	contain	VERB
esrj-21212	44	7	in	in	ADP
esrj-21212	44	8	the	the	DET
esrj-21212	44	9	definition	definition	NOUN
esrj-21212	44	10	,	,	PUNCT
esrj-21212	44	11	giving	give	VERB
esrj-21212	44	12	the	the	DET
esrj-21212	44	13	possibility	possibility	NOUN
esrj-21212	44	14	to	to	PART
esrj-21212	44	15	include	include	VERB
esrj-21212	44	16	physical	physical	ADJ
esrj-21212	44	17	background	background	NOUN
esrj-21212	44	18	knowledge	knowledge	NOUN
esrj-21212	44	19	;	;	PUNCT
esrj-21212	44	20	in	in	ADP
esrj-21212	44	21	contrast	contrast	NOUN
esrj-21212	44	22	to	to	ADP
esrj-21212	44	23	feature	feature	NOUN
esrj-21212	44	24	-	-	PUNCT
esrj-21212	44	25	based	base	VERB
esrj-21212	44	26	representations	representation	NOUN
esrj-21212	44	27	which	which	PRON
esrj-21212	44	28	usually	usually	ADV
esrj-21212	44	29	suppose	suppose	VERB
esrj-21212	44	30	a	a	DET
esrj-21212	44	31	euclidean	euclidean	ADJ
esrj-21212	44	32	geometry	geometry	NOUN
esrj-21212	44	33	.	.	PUNCT
esrj-21212	45	1	this	this	DET
esrj-21212	45	2	paper	paper	NOUN
esrj-21212	45	3	is	be	AUX
esrj-21212	45	4	devoted	devote	VERB
esrj-21212	45	5	to	to	PART
esrj-21212	45	6	explore	explore	VERB
esrj-21212	45	7	dissimilarity	dissimilarity	NOUN
esrj-21212	45	8	representations	representation	NOUN
esrj-21212	45	9	to	to	PART
esrj-21212	45	10	classify	classify	VERB
esrj-21212	45	11	volcanic	volcanic	ADJ
esrj-21212	45	12	-	-	PUNCT
esrj-21212	45	13	seismic	seismic	ADJ
esrj-21212	45	14	signals	signal	NOUN
esrj-21212	45	15	.	.	PUNCT
esrj-21212	46	1	in	in	ADP
esrj-21212	46	2	dealing	deal	VERB
esrj-21212	46	3	with	with	ADP
esrj-21212	46	4	this	this	DET
esrj-21212	46	5	particular	particular	ADJ
esrj-21212	46	6	problem	problem	NOUN
esrj-21212	46	7	,	,	PUNCT
esrj-21212	46	8	we	we	PRON
esrj-21212	46	9	advocate	advocate	VERB
esrj-21212	46	10	the	the	DET
esrj-21212	46	11	dissimilarity	dissimilarity	NOUN
esrj-21212	46	12	-	-	PUNCT
esrj-21212	46	13	based	base	VERB
esrj-21212	46	14	classification	classification	NOUN
esrj-21212	46	15	of	of	ADP
esrj-21212	46	16	seismic	seismic	ADJ
esrj-21212	46	17	signals	signal	NOUN
esrj-21212	46	18	as	as	ADP
esrj-21212	46	19	an	an	DET
esrj-21212	46	20	advantageous	advantageous	ADJ
esrj-21212	46	21	and	and	CCONJ
esrj-21212	46	22	feasible	feasible	ADJ
esrj-21212	46	23	alternative	alternative	NOUN
esrj-21212	46	24	to	to	ADP
esrj-21212	46	25	the	the	DET
esrj-21212	46	26	feature	feature	NOUN
esrj-21212	46	27	-	-	PUNCT
esrj-21212	46	28	based	base	VERB
esrj-21212	46	29	classification	classification	NOUN
esrj-21212	46	30	.	.	PUNCT
esrj-21212	47	1	dataset	dataset	VERB
esrj-21212	47	2	the	the	DET
esrj-21212	47	3	signals	signal	NOUN
esrj-21212	47	4	were	be	AUX
esrj-21212	47	5	selected	select	VERB
esrj-21212	47	6	from	from	ADP
esrj-21212	47	7	data	datum	NOUN
esrj-21212	47	8	collected	collect	VERB
esrj-21212	47	9	by	by	ADP
esrj-21212	47	10	the	the	DET
esrj-21212	47	11	monitoring	monitoring	NOUN
esrj-21212	47	12	network	network	NOUN
esrj-21212	47	13	deployed	deploy	VERB
esrj-21212	47	14	by	by	ADP
esrj-21212	47	15	vsom	vsom	PROPN
esrj-21212	47	16	staff	staff	NOUN
esrj-21212	47	17	on	on	ADP
esrj-21212	47	18	nrv	nrv	PROPN
esrj-21212	47	19	.	.	PUNCT
esrj-21212	48	1	the	the	DET
esrj-21212	48	2	stations	station	NOUN
esrj-21212	48	3	of	of	ADP
esrj-21212	48	4	the	the	DET
esrj-21212	48	5	nrv	nrv	PROPN
esrj-21212	48	6	monitoring	monitoring	NOUN
esrj-21212	48	7	network	network	NOUN
esrj-21212	48	8	are	be	AUX
esrj-21212	48	9	located	locate	VERB
esrj-21212	48	10	strategically	strategically	ADV
esrj-21212	48	11	;	;	PUNCT
esrj-21212	48	12	for	for	ADP
esrj-21212	48	13	instance	instance	NOUN
esrj-21212	48	14	near	near	ADV
esrj-21212	48	15	to	to	ADP
esrj-21212	48	16	glaciers	glacier	NOUN
esrj-21212	48	17	and	and	CCONJ
esrj-21212	48	18	craters	crater	NOUN
esrj-21212	48	19	.	.	PUNCT
esrj-21212	49	1	signals	signal	NOUN
esrj-21212	49	2	from	from	ADP
esrj-21212	49	3	two	two	NUM
esrj-21212	49	4	stations	station	NOUN
esrj-21212	49	5	(	(	PUNCT
esrj-21212	49	6	olleta	olleta	PROPN
esrj-21212	49	7	crater	crater	NOUN
esrj-21212	49	8	station	station	NOUN
esrj-21212	49	9	and	and	CCONJ
esrj-21212	49	10	glacier	glacier	PROPN
esrj-21212	49	11	station	station	NOUN
esrj-21212	49	12	)	)	PUNCT
esrj-21212	49	13	have	have	AUX
esrj-21212	49	14	been	be	AUX
esrj-21212	49	15	selected	select	VERB
esrj-21212	49	16	for	for	ADP
esrj-21212	49	17	the	the	DET
esrj-21212	49	18	experiments	experiment	NOUN
esrj-21212	49	19	because	because	SCONJ
esrj-21212	49	20	,	,	PUNCT
esrj-21212	49	21	according	accord	VERB
esrj-21212	49	22	to	to	ADP
esrj-21212	49	23	the	the	DET
esrj-21212	49	24	experiences	experience	NOUN
esrj-21212	49	25	reported	report	VERB
esrj-21212	49	26	by	by	ADP
esrj-21212	49	27	vsom	vsom	PROPN
esrj-21212	49	28	staff	staff	NOUN
esrj-21212	49	29	,	,	PUNCT
esrj-21212	49	30	these	these	DET
esrj-21212	49	31	two	two	NUM
esrj-21212	49	32	stations	station	NOUN
esrj-21212	49	33	are	be	AUX
esrj-21212	49	34	a	a	DET
esrj-21212	49	35	reference	reference	NOUN
esrj-21212	49	36	for	for	ADP
esrj-21212	49	37	the	the	DET
esrj-21212	49	38	volcanic	volcanic	ADJ
esrj-21212	49	39	and	and	CCONJ
esrj-21212	49	40	ice	ice	NOUN
esrj-21212	49	41	-	-	PUNCT
esrj-21212	49	42	related	relate	VERB
esrj-21212	49	43	events	event	NOUN
esrj-21212	49	44	.	.	PUNCT
esrj-21212	50	1	the	the	DET
esrj-21212	50	2	stations	station	NOUN
esrj-21212	50	3	are	be	AUX
esrj-21212	50	4	located	locate	VERB
esrj-21212	50	5	at	at	ADP
esrj-21212	50	6	distances	distance	NOUN
esrj-21212	50	7	of	of	ADP
esrj-21212	50	8	4.08	4.08	NUM
esrj-21212	50	9	km	km	NOUN
esrj-21212	50	10	and	and	CCONJ
esrj-21212	50	11	1.8	1.8	NUM
esrj-21212	50	12	km	km	NOUN
esrj-21212	50	13	from	from	ADP
esrj-21212	50	14	the	the	DET
esrj-21212	50	15	active	active	ADJ
esrj-21212	50	16	crater	crater	NOUN
esrj-21212	50	17	,	,	PUNCT
esrj-21212	50	18	respectively	respectively	ADV
esrj-21212	50	19	.	.	PUNCT
esrj-21212	51	1	signals	signal	NOUN
esrj-21212	51	2	were	be	AUX
esrj-21212	51	3	digitized	digitize	VERB
esrj-21212	51	4	at	at	ADP
esrj-21212	51	5	100.16	100.16	NUM
esrj-21212	51	6	hz	hz	VERB
esrj-21212	51	7	sampling	sample	VERB
esrj-21212	51	8	frequency	frequency	NOUN
esrj-21212	51	9	by	by	ADP
esrj-21212	51	10	using	use	VERB
esrj-21212	51	11	12	12	NUM
esrj-21212	51	12	bits	bit	NOUN
esrj-21212	51	13	analogue	analogue	NOUN
esrj-21212	51	14	-	-	PUNCT
esrj-21212	51	15	to	to	ADP
esrj-21212	51	16	-	-	PUNCT
esrj-21212	51	17	digital	digital	ADJ
esrj-21212	51	18	converter	converter	NOUN
esrj-21212	51	19	.	.	PUNCT
esrj-21212	52	1	a	a	DET
esrj-21212	52	2	description	description	NOUN
esrj-21212	52	3	of	of	ADP
esrj-21212	52	4	the	the	DET
esrj-21212	52	5	nrv	nrv	PROPN
esrj-21212	52	6	data	datum	NOUN
esrj-21212	52	7	set	set	VERB
esrj-21212	52	8	is	be	AUX
esrj-21212	52	9	provided	provide	VERB
esrj-21212	52	10	in	in	ADP
esrj-21212	52	11	table	table	NOUN
esrj-21212	52	12	1	1	NUM
esrj-21212	52	13	.	.	PUNCT
esrj-21212	52	14	typical	typical	ADJ
esrj-21212	52	15	waveforms	waveform	NOUN
esrj-21212	52	16	are	be	AUX
esrj-21212	52	17	shown	show	VERB
esrj-21212	52	18	in	in	ADP
esrj-21212	52	19	figure	figure	NOUN
esrj-21212	52	20	orozco	orozco	PROPN
esrj-21212	52	21	et	et	PROPN
esrj-21212	52	22	al	al	PROPN
esrj-21212	52	23	.	.	PROPN
esrj-21212	52	24	,	,	PUNCT
esrj-21212	52	25	esrj	esrj	NOUN
esrj-21212	52	26	vol	vol	NOUN
esrj-21212	52	27	.	.	PROPN
esrj-21212	53	1	10	10	NUM
esrj-21212	53	2	,	,	PUNCT
esrj-21212	53	3	no	no	INTJ
esrj-21212	53	4	.	.	NOUN
esrj-21212	53	5	2	2	NUM
esrj-21212	53	6	.	.	X
esrj-21212	53	7	december	december	PROPN
esrj-21212	53	8	2006	2006	NUM
esrj-21212	53	9	figure	figure	NOUN
esrj-21212	53	10	1	1	NUM
esrj-21212	53	11	.	.	PUNCT
esrj-21212	53	12	typical	typical	ADJ
esrj-21212	53	13	waveforms	waveform	NOUN
esrj-21212	53	14	of	of	ADP
esrj-21212	53	15	the	the	DET
esrj-21212	53	16	three	three	NUM
esrj-21212	53	17	classes	class	NOUN
esrj-21212	53	18	considered	consider	VERB
esrj-21212	53	19	:	:	PUNCT
esrj-21212	53	20	vt	vt	NOUN
esrj-21212	53	21	,	,	PUNCT
esrj-21212	53	22	lp	lp	NOUN
esrj-21212	53	23	and	and	CCONJ
esrj-21212	53	24	ic	ic	PROPN
esrj-21212	53	25	events	event	NOUN
esrj-21212	53	26	.	.	PUNCT
esrj-21212	54	1	59	59	NUM
esrj-21212	54	2	1	1	NUM
esrj-21212	54	3	.	.	PUNCT
esrj-21212	54	4	table	table	NOUN
esrj-21212	54	5	1	1	NUM
esrj-21212	54	6	.	.	PUNCT
esrj-21212	54	7	composition	composition	NOUN
esrj-21212	54	8	of	of	ADP
esrj-21212	54	9	the	the	DET
esrj-21212	54	10	data	data	NOUN
esrj-21212	54	11	set	set	NOUN
esrj-21212	54	12	(	(	PUNCT
esrj-21212	54	13	number	number	NOUN
esrj-21212	54	14	of	of	ADP
esrj-21212	54	15	events	event	NOUN
esrj-21212	54	16	per	per	ADP
esrj-21212	54	17	class	class	NOUN
esrj-21212	54	18	)	)	PUNCT
esrj-21212	54	19	.	.	PUNCT
esrj-21212	55	1	vt	vt	PROPN
esrj-21212	55	2	and	and	CCONJ
esrj-21212	55	3	lp	lp	ADJ
esrj-21212	55	4	events	event	NOUN
esrj-21212	55	5	were	be	AUX
esrj-21212	55	6	detected	detect	VERB
esrj-21212	55	7	by	by	ADP
esrj-21212	55	8	the	the	DET
esrj-21212	55	9	olleta	olleta	PROPN
esrj-21212	55	10	crater	crater	NOUN
esrj-21212	55	11	station	station	NOUN
esrj-21212	55	12	.	.	PUNCT
esrj-21212	56	1	ic	ic	PROPN
esrj-21212	56	2	events	event	NOUN
esrj-21212	56	3	were	be	AUX
esrj-21212	56	4	detected	detect	VERB
esrj-21212	56	5	by	by	ADP
esrj-21212	56	6	the	the	DET
esrj-21212	56	7	glacier	glacier	PROPN
esrj-21212	56	8	station	station	NOUN
esrj-21212	56	9	.	.	PUNCT
esrj-21212	57	1	vt	vt	PROPN
esrj-21212	57	2	lp	lp	PROPN
esrj-21212	57	3	ic	ic	PROPN
esrj-21212	57	4	483	483	NUM
esrj-21212	57	5	580	580	NUM
esrj-21212	57	6	782	782	NUM
esrj-21212	57	7	vt	vt	NOUN
esrj-21212	57	8	and	and	CCONJ
esrj-21212	57	9	lp	lp	PROPN
esrj-21212	57	10	earthquakes	earthquake	NOUN
esrj-21212	57	11	are	be	AUX
esrj-21212	57	12	commonly	commonly	ADV
esrj-21212	57	13	detected	detect	VERB
esrj-21212	57	14	at	at	ADP
esrj-21212	57	15	nrv	nrv	PROPN
esrj-21212	57	16	.	.	PUNCT
esrj-21212	58	1	in	in	ADP
esrj-21212	58	2	our	our	PRON
esrj-21212	58	3	experiments	experiment	NOUN
esrj-21212	58	4	,	,	PUNCT
esrj-21212	58	5	the	the	DET
esrj-21212	58	6	vt	vt	NOUN
esrj-21212	58	7	and	and	CCONJ
esrj-21212	58	8	lp	lp	ADJ
esrj-21212	58	9	events	event	NOUN
esrj-21212	58	10	are	be	AUX
esrj-21212	58	11	analyzed	analyze	VERB
esrj-21212	58	12	as	as	ADP
esrj-21212	58	13	a	a	DET
esrj-21212	58	14	separate	separate	ADJ
esrj-21212	58	15	problem	problem	NOUN
esrj-21212	58	16	(	(	PUNCT
esrj-21212	58	17	the	the	DET
esrj-21212	58	18	ruiz	ruiz	NOUN
esrj-21212	58	19	-	-	PUNCT
esrj-21212	58	20	lp	lp	NOUN
esrj-21212	58	21	,	,	PUNCT
esrj-21212	58	22	vt	vt	PROPN
esrj-21212	58	23	two	two	NUM
esrj-21212	58	24	-	-	PUNCT
esrj-21212	58	25	class	class	NOUN
esrj-21212	58	26	problem	problem	NOUN
esrj-21212	58	27	)	)	PUNCT
esrj-21212	58	28	,	,	PUNCT
esrj-21212	58	29	and	and	CCONJ
esrj-21212	58	30	we	we	PRON
esrj-21212	58	31	also	also	ADV
esrj-21212	58	32	analize	analize	VERB
esrj-21212	58	33	all	all	DET
esrj-21212	58	34	classes	class	NOUN
esrj-21212	58	35	together	together	ADV
esrj-21212	58	36	(	(	PUNCT
esrj-21212	58	37	the	the	DET
esrj-21212	58	38	multi	multi	ADJ
esrj-21212	58	39	-	-	ADJ
esrj-21212	58	40	class	class	ADJ
esrj-21212	58	41	ruiz	ruiz	NOUN
esrj-21212	58	42	-	-	PUNCT
esrj-21212	58	43	all	all	PRON
esrj-21212	58	44	problem	problem	NOUN
esrj-21212	58	45	)	)	PUNCT
esrj-21212	58	46	.	.	PUNCT
esrj-21212	59	1	dissimilarity	dissimilarity	NOUN
esrj-21212	59	2	representations	representation	NOUN
esrj-21212	59	3	and	and	CCONJ
esrj-21212	59	4	classifiers	classifier	NOUN
esrj-21212	59	5	dissimilarity	dissimilarity	NOUN
esrj-21212	59	6	representations	representation	NOUN
esrj-21212	59	7	can	can	AUX
esrj-21212	59	8	be	be	AUX
esrj-21212	59	9	derived	derive	VERB
esrj-21212	59	10	in	in	ADP
esrj-21212	59	11	many	many	ADJ
esrj-21212	59	12	ways	way	NOUN
esrj-21212	59	13	,	,	PUNCT
esrj-21212	59	14	e.g.	e.g.	ADV
esrj-21212	59	15	from	from	ADP
esrj-21212	59	16	raw	raw	ADJ
esrj-21212	59	17	(	(	PUNCT
esrj-21212	59	18	sensor	sensor	NOUN
esrj-21212	59	19	)	)	PUNCT
esrj-21212	59	20	measurements	measurement	NOUN
esrj-21212	59	21	such	such	ADJ
esrj-21212	59	22	as	as	ADP
esrj-21212	59	23	images	image	NOUN
esrj-21212	59	24	,	,	PUNCT
esrj-21212	59	25	histograms	histogram	NOUN
esrj-21212	59	26	or	or	CCONJ
esrj-21212	59	27	spectra	spectra	NOUN
esrj-21212	59	28	or	or	CCONJ
esrj-21212	59	29	,	,	PUNCT
esrj-21212	59	30	from	from	ADP
esrj-21212	59	31	an	an	DET
esrj-21212	59	32	initial	initial	ADJ
esrj-21212	59	33	representation	representation	NOUN
esrj-21212	59	34	by	by	ADP
esrj-21212	59	35	features	feature	NOUN
esrj-21212	59	36	,	,	PUNCT
esrj-21212	59	37	strings	string	NOUN
esrj-21212	59	38	or	or	CCONJ
esrj-21212	59	39	graphs	graph	NOUN
esrj-21212	59	40	(	(	PUNCT
esrj-21212	59	41	pękalska	pękalska	NOUN
esrj-21212	59	42	et	et	PROPN
esrj-21212	59	43	al	al	PROPN
esrj-21212	59	44	.	.	PROPN
esrj-21212	59	45	,	,	PUNCT
esrj-21212	59	46	2006	2006	NUM
esrj-21212	59	47	)	)	PUNCT
esrj-21212	59	48	;	;	PUNCT
esrj-21212	59	49	nonetheless	nonetheless	ADV
esrj-21212	59	50	,	,	PUNCT
esrj-21212	59	51	the	the	DET
esrj-21212	59	52	particular	particular	ADJ
esrj-21212	59	53	way	way	NOUN
esrj-21212	59	54	in	in	ADP
esrj-21212	59	55	which	which	PRON
esrj-21212	59	56	dissimilarities	dissimilarity	NOUN
esrj-21212	59	57	are	be	AUX
esrj-21212	59	58	computed	compute	VERB
esrj-21212	59	59	is	be	AUX
esrj-21212	59	60	crucial	crucial	ADJ
esrj-21212	59	61	,	,	PUNCT
esrj-21212	59	62	and	and	CCONJ
esrj-21212	59	63	relies	rely	VERB
esrj-21212	59	64	on	on	ADP
esrj-21212	59	65	the	the	DET
esrj-21212	59	66	additional	additional	ADJ
esrj-21212	59	67	knowledge	knowledge	NOUN
esrj-21212	59	68	that	that	PRON
esrj-21212	59	69	experts	expert	NOUN
esrj-21212	59	70	—	—	PUNCT
esrj-21212	59	71	volcanic	volcanic	ADJ
esrj-21212	59	72	seismologists	seismologist	NOUN
esrj-21212	59	73	—	—	PUNCT
esrj-21212	59	74	have	have	VERB
esrj-21212	59	75	about	about	ADP
esrj-21212	59	76	the	the	DET
esrj-21212	59	77	problem	problem	NOUN
esrj-21212	59	78	.	.	PUNCT
esrj-21212	60	1	the	the	DET
esrj-21212	60	2	spectra	spectra	NOUN
esrj-21212	60	3	of	of	ADP
esrj-21212	60	4	seismic	seismic	ADJ
esrj-21212	60	5	signals	signal	NOUN
esrj-21212	60	6	are	be	AUX
esrj-21212	60	7	commonly	commonly	ADV
esrj-21212	60	8	used	use	VERB
esrj-21212	60	9	for	for	ADP
esrj-21212	60	10	classification	classification	NOUN
esrj-21212	60	11	and	and	CCONJ
esrj-21212	60	12	monitoring	monitoring	NOUN
esrj-21212	60	13	of	of	ADP
esrj-21212	60	14	volcanic	volcanic	ADJ
esrj-21212	60	15	activity	activity	NOUN
esrj-21212	60	16	.	.	PUNCT
esrj-21212	61	1	since	since	SCONJ
esrj-21212	61	2	differences	difference	NOUN
esrj-21212	61	3	in	in	ADP
esrj-21212	61	4	spectral	spectral	ADJ
esrj-21212	61	5	content	content	NOUN
esrj-21212	61	6	allow	allow	VERB
esrj-21212	61	7	a	a	DET
esrj-21212	61	8	visual	visual	ADJ
esrj-21212	61	9	discrimination	discrimination	NOUN
esrj-21212	61	10	of	of	ADP
esrj-21212	61	11	different	different	ADJ
esrj-21212	61	12	types	type	NOUN
esrj-21212	61	13	of	of	ADP
esrj-21212	61	14	volcanic	volcanic	ADJ
esrj-21212	61	15	earthquakes	earthquake	NOUN
esrj-21212	61	16	(	(	PUNCT
esrj-21212	61	17	zobin	zobin	PROPN
esrj-21212	61	18	,	,	PUNCT
esrj-21212	61	19	2003	2003	NUM
esrj-21212	61	20	)	)	PUNCT
esrj-21212	61	21	,	,	PUNCT
esrj-21212	61	22	we	we	PRON
esrj-21212	61	23	have	have	AUX
esrj-21212	61	24	calculated	calculate	VERB
esrj-21212	61	25	the	the	DET
esrj-21212	61	26	spectrum	spectrum	NOUN
esrj-21212	61	27	for	for	ADP
esrj-21212	61	28	each	each	DET
esrj-21212	61	29	signal	signal	NOUN
esrj-21212	61	30	by	by	ADP
esrj-21212	61	31	using	use	VERB
esrj-21212	61	32	two	two	NUM
esrj-21212	61	33	different	different	ADJ
esrj-21212	61	34	approaches	approach	NOUN
esrj-21212	61	35	:	:	PUNCT
esrj-21212	61	36	(	(	PUNCT
esrj-21212	61	37	i	i	NOUN
esrj-21212	61	38	)	)	PUNCT
esrj-21212	61	39	n	n	CCONJ
esrj-21212	61	40	-	-	PUNCT
esrj-21212	61	41	point	point	NOUN
esrj-21212	61	42	fast	fast	ADJ
esrj-21212	61	43	fourier	fourier	NOUN
esrj-21212	61	44	transform	transform	NOUN
esrj-21212	61	45	(	(	PUNCT
esrj-21212	61	46	fft	fft	PROPN
esrj-21212	61	47	)	)	PUNCT
esrj-21212	61	48	and	and	CCONJ
esrj-21212	61	49	,	,	PUNCT
esrj-21212	61	50	(	(	PUNCT
esrj-21212	61	51	ii	ii	NOUN
esrj-21212	61	52	)	)	PUNCT
esrj-21212	61	53	parametric	parametric	ADJ
esrj-21212	61	54	estimation	estimation	NOUN
esrj-21212	61	55	of	of	ADP
esrj-21212	61	56	the	the	DET
esrj-21212	61	57	power	power	NOUN
esrj-21212	61	58	spectral	spectral	ADJ
esrj-21212	61	59	density	density	NOUN
esrj-21212	61	60	(	(	PUNCT
esrj-21212	61	61	psd	psd	NOUN
esrj-21212	61	62	)	)	PUNCT
esrj-21212	61	63	.	.	PUNCT
esrj-21212	62	1	in	in	ADP
esrj-21212	62	2	such	such	DET
esrj-21212	62	3	a	a	DET
esrj-21212	62	4	way	way	NOUN
esrj-21212	62	5	,	,	PUNCT
esrj-21212	62	6	we	we	PRON
esrj-21212	62	7	explore	explore	VERB
esrj-21212	62	8	the	the	DET
esrj-21212	62	9	difference	difference	NOUN
esrj-21212	62	10	between	between	ADP
esrj-21212	62	11	deriving	derive	VERB
esrj-21212	62	12	dissimilarities	dissimilarity	NOUN
esrj-21212	62	13	from	from	ADP
esrj-21212	62	14	a	a	DET
esrj-21212	62	15	data	data	NOUN
esrj-21212	62	16	-	-	PUNCT
esrj-21212	62	17	based	base	VERB
esrj-21212	62	18	spectral	spectral	ADJ
esrj-21212	62	19	estimation	estimation	NOUN
esrj-21212	62	20	and	and	CCONJ
esrj-21212	62	21	from	from	ADP
esrj-21212	62	22	a	a	DET
esrj-21212	62	23	model	model	NOUN
esrj-21212	62	24	-	-	PUNCT
esrj-21212	62	25	based	base	VERB
esrj-21212	62	26	spectral	spectral	ADJ
esrj-21212	62	27	estimation	estimation	NOUN
esrj-21212	62	28	such	such	ADJ
esrj-21212	62	29	as	as	ADP
esrj-21212	62	30	the	the	DET
esrj-21212	62	31	yule	yule	PROPN
esrj-21212	62	32	-	-	PUNCT
esrj-21212	62	33	walker	walker	PROPN
esrj-21212	62	34	ar	ar	PROPN
esrj-21212	62	35	method	method	PROPN
esrj-21212	62	36	.	.	PUNCT
esrj-21212	63	1	dc	dc	PROPN
esrj-21212	63	2	bias	bias	NOUN
esrj-21212	63	3	was	be	AUX
esrj-21212	63	4	removed	remove	VERB
esrj-21212	63	5	before	before	ADP
esrj-21212	63	6	computing	compute	VERB
esrj-21212	63	7	the	the	DET
esrj-21212	63	8	spectra	spectra	NOUN
esrj-21212	63	9	;	;	PUNCT
esrj-21212	63	10	in	in	ADP
esrj-21212	63	11	addition	addition	NOUN
esrj-21212	63	12	,	,	PUNCT
esrj-21212	63	13	when	when	SCONJ
esrj-21212	63	14	spectra	spectra	PROPN
esrj-21212	63	15	are	be	AUX
esrj-21212	63	16	directly	directly	ADV
esrj-21212	63	17	compared	compare	VERB
esrj-21212	63	18	,	,	PUNCT
esrj-21212	63	19	they	they	PRON
esrj-21212	63	20	are	be	AUX
esrj-21212	63	21	required	require	VERB
esrj-21212	63	22	to	to	PART
esrj-21212	63	23	be	be	AUX
esrj-21212	63	24	normalized	normalize	VERB
esrj-21212	63	25	and	and	CCONJ
esrj-21212	63	26	to	to	PART
esrj-21212	63	27	have	have	VERB
esrj-21212	63	28	the	the	DET
esrj-21212	63	29	same	same	ADJ
esrj-21212	63	30	length	length	NOUN
esrj-21212	63	31	.	.	PUNCT
esrj-21212	64	1	in	in	ADP
esrj-21212	64	2	consequence	consequence	NOUN
esrj-21212	64	3	,	,	PUNCT
esrj-21212	64	4	considering	consider	VERB
esrj-21212	64	5	the	the	DET
esrj-21212	64	6	length	length	NOUN
esrj-21212	64	7	of	of	ADP
esrj-21212	64	8	the	the	DET
esrj-21212	64	9	shortest	short	ADJ
esrj-21212	64	10	event	event	NOUN
esrj-21212	64	11	and	and	CCONJ
esrj-21212	64	12	a	a	DET
esrj-21212	64	13	length	length	NOUN
esrj-21212	64	14	-	-	PUNCT
esrj-21212	64	15	resolution	resolution	NOUN
esrj-21212	64	16	trade	trade	NOUN
esrj-21212	64	17	-	-	PUNCT
esrj-21212	64	18	off	off	NOUN
esrj-21212	64	19	,	,	PUNCT
esrj-21212	64	20	we	we	PRON
esrj-21212	64	21	calculated	calculate	VERB
esrj-21212	64	22	128point	128point	PROPN
esrj-21212	64	23	spectra	spectra	NOUN
esrj-21212	64	24	.	.	PUNCT
esrj-21212	65	1	two	two	NUM
esrj-21212	65	2	different	different	ADJ
esrj-21212	65	3	dissimilarities	dissimilarity	NOUN
esrj-21212	65	4	measures	measure	NOUN
esrj-21212	65	5	have	have	AUX
esrj-21212	65	6	been	be	AUX
esrj-21212	65	7	computed	compute	VERB
esrj-21212	65	8	between	between	ADP
esrj-21212	65	9	spectra	spectra	NOUN
esrj-21212	65	10	:	:	PUNCT
esrj-21212	65	11	(	(	PUNCT
esrj-21212	65	12	i	i	NOUN
esrj-21212	65	13	)	)	PUNCT
esrj-21212	65	14	pointwise	pointwise	VERB
esrj-21212	65	15	euclidean	euclidean	ADJ
esrj-21212	65	16	distance	distance	NOUN
esrj-21212	65	17	and	and	CCONJ
esrj-21212	65	18	(	(	PUNCT
esrj-21212	65	19	ii	ii	NOUN
esrj-21212	65	20	)	)	PUNCT
esrj-21212	65	21	area	area	NOUN
esrj-21212	65	22	difference	difference	NOUN
esrj-21212	65	23	:	:	PUNCT
esrj-21212	65	24	the	the	DET
esrj-21212	65	25	area	area	NOUN
esrj-21212	65	26	of	of	ADP
esrj-21212	65	27	non	non	ADJ
esrj-21212	65	28	-	-	ADJ
esrj-21212	65	29	overlapping	overlapping	ADJ
esrj-21212	65	30	parts	part	NOUN
esrj-21212	65	31	(	(	PUNCT
esrj-21212	65	32	-norm	-norm	NOUN
esrj-21212	65	33	)	)	PUNCT
esrj-21212	65	34	as	as	SCONJ
esrj-21212	65	35	shown	show	VERB
esrj-21212	65	36	in	in	ADP
esrj-21212	65	37	figure	figure	NOUN
esrj-21212	65	38	2	2	NUM
esrj-21212	65	39	.	.	PUNCT
esrj-21212	65	40	dissimilarity	dissimilarity	NOUN
esrj-21212	65	41	-	-	PUNCT
esrj-21212	65	42	based	base	VERB
esrj-21212	65	43	classification	classification	NOUN
esrj-21212	65	44	of	of	ADP
esrj-21212	65	45	seismic	seismic	ADJ
esrj-21212	65	46	signals	signal	NOUN
esrj-21212	65	47	at	at	ADP
esrj-21212	65	48	nevado	nevado	PROPN
esrj-21212	65	49	del	del	PROPN
esrj-21212	65	50	ruiz	ruiz	PROPN
esrj-21212	65	51	volcano	volcano	NOUN
esrj-21212	65	52	figure	figure	NOUN
esrj-21212	65	53	2	2	NUM
esrj-21212	65	54	.	.	PUNCT
esrj-21212	65	55	dissimilarity	dissimilarity	NOUN
esrj-21212	65	56	measured	measure	VERB
esrj-21212	65	57	as	as	ADP
esrj-21212	65	58	the	the	DET
esrj-21212	65	59	difference	difference	NOUN
esrj-21212	65	60	between	between	ADP
esrj-21212	65	61	normalized	normalize	VERB
esrj-21212	65	62	spectra	spectra	NOUN
esrj-21212	65	63	.	.	PUNCT
esrj-21212	66	1	60	60	NUM
esrj-21212	66	2	the	the	DET
esrj-21212	66	3	k	k	PROPN
esrj-21212	66	4	nearest	near	ADJ
esrj-21212	66	5	neighbor	neighbor	NOUN
esrj-21212	66	6	classifier	classifier	NOUN
esrj-21212	66	7	(	(	PUNCT
esrj-21212	66	8	k	k	PROPN
esrj-21212	66	9	-	-	PUNCT
esrj-21212	66	10	nn	nn	ADJ
esrj-21212	66	11	)	)	PUNCT
esrj-21212	66	12	k	k	PROPN
esrj-21212	66	13	-	-	PUNCT
esrj-21212	66	14	nn	nn	PROPN
esrj-21212	66	15	is	be	AUX
esrj-21212	66	16	considered	consider	VERB
esrj-21212	66	17	a	a	DET
esrj-21212	66	18	direct	direct	ADJ
esrj-21212	66	19	approach	approach	NOUN
esrj-21212	66	20	for	for	ADP
esrj-21212	66	21	dissimilarity	dissimilarity	NOUN
esrj-21212	66	22	-	-	PUNCT
esrj-21212	66	23	based	base	VERB
esrj-21212	66	24	classification	classification	NOUN
esrj-21212	66	25	.	.	PUNCT
esrj-21212	67	1	this	this	DET
esrj-21212	67	2	rule	rule	NOUN
esrj-21212	67	3	classifies	classify	VERB
esrj-21212	67	4	a	a	DET
esrj-21212	67	5	new	new	ADJ
esrj-21212	67	6	object	object	NOUN
esrj-21212	67	7	by	by	ADP
esrj-21212	67	8	assigning	assign	VERB
esrj-21212	67	9	it	it	PRON
esrj-21212	67	10	the	the	DET
esrj-21212	67	11	class	class	NOUN
esrj-21212	67	12	label	label	NOUN
esrj-21212	67	13	most	most	ADV
esrj-21212	67	14	frequently	frequently	ADV
esrj-21212	67	15	represented	represent	VERB
esrj-21212	67	16	among	among	ADP
esrj-21212	67	17	the	the	DET
esrj-21212	67	18	k	k	PROPN
esrj-21212	67	19	nearest	near	ADJ
esrj-21212	67	20	prototypes	prototype	NOUN
esrj-21212	67	21	(	(	PUNCT
esrj-21212	67	22	e.g.	e.g.	ADV
esrj-21212	67	23	,	,	PUNCT
esrj-21212	67	24	by	by	ADP
esrj-21212	67	25	finding	find	VERB
esrj-21212	67	26	the	the	DET
esrj-21212	67	27	k	k	PROPN
esrj-21212	67	28	neighbors	neighbor	NOUN
esrj-21212	67	29	with	with	ADP
esrj-21212	67	30	the	the	DET
esrj-21212	67	31	minimum	minimum	ADJ
esrj-21212	67	32	distances	distance	NOUN
esrj-21212	67	33	between	between	ADP
esrj-21212	67	34	the	the	DET
esrj-21212	67	35	new	new	ADJ
esrj-21212	67	36	object	object	NOUN
esrj-21212	67	37	and	and	CCONJ
esrj-21212	67	38	all	all	DET
esrj-21212	67	39	the	the	DET
esrj-21212	67	40	prototypes	prototype	NOUN
esrj-21212	67	41	)	)	PUNCT
esrj-21212	67	42	.	.	PUNCT
esrj-21212	68	1	for	for	ADP
esrj-21212	68	2	,	,	PUNCT
esrj-21212	68	3	the	the	DET
esrj-21212	68	4	rule	rule	NOUN
esrj-21212	68	5	is	be	AUX
esrj-21212	68	6	called	call	VERB
esrj-21212	68	7	1	1	NUM
esrj-21212	68	8	-	-	PUNCT
esrj-21212	68	9	nn	nn	NOUN
esrj-21212	68	10	.	.	PUNCT
esrj-21212	68	11	even	even	ADV
esrj-21212	68	12	though	though	SCONJ
esrj-21212	68	13	k	k	X
esrj-21212	68	14	-	-	PUNCT
esrj-21212	68	15	nn	nn	PROPN
esrj-21212	68	16	is	be	AUX
esrj-21212	68	17	asymptotically	asymptotically	ADV
esrj-21212	68	18	optimal	optimal	ADJ
esrj-21212	68	19	in	in	ADP
esrj-21212	68	20	the	the	DET
esrj-21212	68	21	bayesian	bayesian	NOUN
esrj-21212	68	22	sense	sense	NOUN
esrj-21212	68	23	,	,	PUNCT
esrj-21212	68	24	it	it	PRON
esrj-21212	68	25	is	be	AUX
esrj-21212	68	26	sensitive	sensitive	ADJ
esrj-21212	68	27	to	to	AUX
esrj-21212	68	28	noise	noise	VERB
esrj-21212	68	29	and	and	CCONJ
esrj-21212	68	30	erroneously	erroneously	ADV
esrj-21212	68	31	labelled	label	VERB
esrj-21212	68	32	prototypes	prototype	NOUN
esrj-21212	68	33	.	.	PUNCT
esrj-21212	69	1	linear	linear	ADJ
esrj-21212	69	2	and	and	CCONJ
esrj-21212	69	3	quadratic	quadratic	ADJ
esrj-21212	69	4	normal	normal	ADJ
esrj-21212	69	5	density	density	NOUN
esrj-21212	69	6	based	base	VERB
esrj-21212	69	7	classifiers	classifier	NOUN
esrj-21212	69	8	previous	previous	ADJ
esrj-21212	69	9	studies	study	NOUN
esrj-21212	69	10	(	(	PUNCT
esrj-21212	69	11	pękalska	pękalska	NOUN
esrj-21212	69	12	et	et	PROPN
esrj-21212	69	13	al	al	PROPN
esrj-21212	69	14	,	,	PUNCT
esrj-21212	69	15	2001	2001	NUM
esrj-21212	69	16	;	;	PUNCT
esrj-21212	69	17	pękalska	pękalska	NOUN
esrj-21212	69	18	and	and	CCONJ
esrj-21212	69	19	duin	duin	PROPN
esrj-21212	69	20	,	,	PUNCT
esrj-21212	69	21	2002	2002	NUM
esrj-21212	69	22	;	;	PUNCT
esrj-21212	69	23	paclík	paclík	NOUN
esrj-21212	69	24	and	and	CCONJ
esrj-21212	69	25	duin	duin	PROPN
esrj-21212	69	26	,	,	PUNCT
esrj-21212	69	27	2003	2003	NUM
esrj-21212	69	28	)	)	PUNCT
esrj-21212	69	29	have	have	AUX
esrj-21212	69	30	shown	show	VERB
esrj-21212	69	31	that	that	SCONJ
esrj-21212	69	32	bayesian	bayesian	NOUN
esrj-21212	69	33	(	(	PUNCT
esrj-21212	69	34	normal	normal	ADJ
esrj-21212	69	35	density	density	NOUN
esrj-21212	69	36	-	-	PUNCT
esrj-21212	69	37	based	base	VERB
esrj-21212	69	38	)	)	PUNCT
esrj-21212	69	39	classifiers	classifier	NOUN
esrj-21212	69	40	,	,	PUNCT
esrj-21212	69	41	particularly	particularly	ADV
esrj-21212	69	42	the	the	DET
esrj-21212	69	43	linear	linear	PROPN
esrj-21212	69	44	(	(	PUNCT
esrj-21212	69	45	ldc	ldc	PROPN
esrj-21212	69	46	)	)	PUNCT
esrj-21212	69	47	and	and	CCONJ
esrj-21212	69	48	quadratic	quadratic	ADJ
esrj-21212	69	49	(	(	PUNCT
esrj-21212	69	50	qdc	qdc	PROPN
esrj-21212	69	51	)	)	PUNCT
esrj-21212	69	52	normal	normal	ADJ
esrj-21212	69	53	based	base	VERB
esrj-21212	69	54	classifiers	classifier	NOUN
esrj-21212	69	55	,	,	PUNCT
esrj-21212	69	56	perform	perform	VERB
esrj-21212	69	57	well	well	ADV
esrj-21212	69	58	in	in	ADP
esrj-21212	69	59	dissimilarity	dissimilarity	NOUN
esrj-21212	69	60	spaces	space	NOUN
esrj-21212	69	61	.	.	PUNCT
esrj-21212	70	1	for	for	ADP
esrj-21212	70	2	a	a	DET
esrj-21212	70	3	2	2	NUM
esrj-21212	70	4	-	-	PUNCT
esrj-21212	70	5	class	class	NOUN
esrj-21212	70	6	problem	problem	NOUN
esrj-21212	70	7	,	,	PUNCT
esrj-21212	70	8	the	the	DET
esrj-21212	70	9	ldc	ldc	PROPN
esrj-21212	70	10	based	base	VERB
esrj-21212	70	11	on	on	ADP
esrj-21212	70	12	the	the	DET
esrj-21212	70	13	representation	representation	NOUN
esrj-21212	70	14	set	set	NOUN
esrj-21212	70	15	is	be	AUX
esrj-21212	70	16	given	give	VERB
esrj-21212	70	17	by	by	ADP
esrj-21212	70	18	(	(	PUNCT
esrj-21212	70	19	1	1	NUM
esrj-21212	70	20	)	)	PUNCT
esrj-21212	70	21	and	and	CCONJ
esrj-21212	70	22	the	the	DET
esrj-21212	70	23	qdc	qdc	NOUN
esrj-21212	70	24	is	be	AUX
esrj-21212	70	25	derived	derive	VERB
esrj-21212	70	26	as	as	ADP
esrj-21212	70	27	(	(	PUNCT
esrj-21212	70	28	2	2	NUM
esrj-21212	70	29	)	)	PUNCT
esrj-21212	70	30	where	where	SCONJ
esrj-21212	70	31	is	be	AUX
esrj-21212	70	32	the	the	DET
esrj-21212	70	33	sample	sample	NOUN
esrj-21212	70	34	covariance	covariance	NOUN
esrj-21212	70	35	matrix	matrix	NOUN
esrj-21212	70	36	,	,	PUNCT
esrj-21212	70	37	and	and	CCONJ
esrj-21212	70	38	are	be	AUX
esrj-21212	70	39	the	the	DET
esrj-21212	70	40	estimated	estimate	VERB
esrj-21212	70	41	class	class	NOUN
esrj-21212	70	42	covariance	covariance	NOUN
esrj-21212	70	43	matrices	matrix	NOUN
esrj-21212	70	44	,	,	PUNCT
esrj-21212	70	45	and	and	CCONJ
esrj-21212	70	46	and	and	CCONJ
esrj-21212	70	47	are	be	AUX
esrj-21212	70	48	the	the	DET
esrj-21212	70	49	mean	mean	ADJ
esrj-21212	70	50	vectors	vector	NOUN
esrj-21212	70	51	,	,	PUNCT
esrj-21212	70	52	computed	compute	VERB
esrj-21212	70	53	in	in	ADP
esrj-21212	70	54	the	the	DET
esrj-21212	70	55	dissimilarity	dissimilarity	NOUN
esrj-21212	70	56	space	space	NOUN
esrj-21212	70	57	,	,	PUNCT
esrj-21212	70	58	and	and	CCONJ
esrj-21212	70	59	are	be	AUX
esrj-21212	70	60	the	the	DET
esrj-21212	70	61	class	class	NOUN
esrj-21212	70	62	´	´	PROPN
esrj-21212	70	63	a	a	PRON
esrj-21212	70	64	-	-	PUNCT
esrj-21212	70	65	priori	priori	ADJ
esrj-21212	70	66	probabilities	probability	NOUN
esrj-21212	70	67	.	.	PUNCT
esrj-21212	71	1	if	if	SCONJ
esrj-21212	71	2	is	be	AUX
esrj-21212	71	3	singular	singular	ADJ
esrj-21212	71	4	,	,	PUNCT
esrj-21212	71	5	a	a	DET
esrj-21212	71	6	regularized	regularize	VERB
esrj-21212	71	7	version	version	NOUN
esrj-21212	71	8	must	must	AUX
esrj-21212	71	9	be	be	AUX
esrj-21212	71	10	used	use	VERB
esrj-21212	71	11	.	.	PUNCT
esrj-21212	72	1	in	in	ADP
esrj-21212	72	2	this	this	DET
esrj-21212	72	3	study	study	NOUN
esrj-21212	72	4	,	,	PUNCT
esrj-21212	72	5	the	the	DET
esrj-21212	72	6	following	follow	VERB
esrj-21212	72	7	regularization	regularization	NOUN
esrj-21212	72	8	is	be	AUX
esrj-21212	72	9	used	use	VERB
esrj-21212	72	10	:	:	PUNCT
esrj-21212	72	11	.	.	PUNCT
esrj-21212	73	1	(	(	PUNCT
esrj-21212	73	2	3	3	X
esrj-21212	73	3	)	)	PUNCT
esrj-21212	73	4	we	we	PRON
esrj-21212	73	5	have	have	AUX
esrj-21212	73	6	fixed	fix	VERB
esrj-21212	73	7	λ	λ	PROPN
esrj-21212	73	8	to	to	PART
esrj-21212	73	9	be	be	AUX
esrj-21212	73	10	0.01	0.01	NUM
esrj-21212	73	11	.	.	PUNCT
esrj-21212	74	1	nonetheless	nonetheless	ADV
esrj-21212	74	2	,	,	PUNCT
esrj-21212	74	3	this	this	DET
esrj-21212	74	4	regularization	regularization	NOUN
esrj-21212	74	5	parameter	parameter	NOUN
esrj-21212	74	6	should	should	AUX
esrj-21212	74	7	be	be	AUX
esrj-21212	74	8	optimized	optimize	VERB
esrj-21212	74	9	in	in	ADP
esrj-21212	74	10	order	order	NOUN
esrj-21212	74	11	to	to	PART
esrj-21212	74	12	obtain	obtain	VERB
esrj-21212	74	13	the	the	DET
esrj-21212	74	14	best	good	ADJ
esrj-21212	74	15	possible	possible	ADJ
esrj-21212	74	16	results	result	NOUN
esrj-21212	74	17	for	for	ADP
esrj-21212	74	18	the	the	DET
esrj-21212	74	19	normal	normal	ADJ
esrj-21212	74	20	density	density	NOUN
esrj-21212	74	21	-	-	PUNCT
esrj-21212	74	22	based	base	VERB
esrj-21212	74	23	classifiers	classifier	NOUN
esrj-21212	74	24	.	.	PUNCT
esrj-21212	75	1	experimental	experimental	ADJ
esrj-21212	75	2	results	result	NOUN
esrj-21212	75	3	experiments	experiment	NOUN
esrj-21212	75	4	were	be	AUX
esrj-21212	75	5	conducted	conduct	VERB
esrj-21212	75	6	to	to	PART
esrj-21212	75	7	compare	compare	VERB
esrj-21212	75	8	the	the	DET
esrj-21212	75	9	results	result	NOUN
esrj-21212	75	10	of	of	ADP
esrj-21212	75	11	the	the	DET
esrj-21212	75	12	k	k	PROPN
esrj-21212	75	13	-	-	PUNCT
esrj-21212	75	14	nn	nn	ADJ
esrj-21212	75	15	rule	rule	NOUN
esrj-21212	75	16	and	and	CCONJ
esrj-21212	75	17	the	the	DET
esrj-21212	75	18	ldc	ldc	PROPN
esrj-21212	75	19	and	and	CCONJ
esrj-21212	75	20	qdc	qdc	VERB
esrj-21212	75	21	classifiers	classifier	NOUN
esrj-21212	75	22	built	build	VERB
esrj-21212	75	23	on	on	ADP
esrj-21212	75	24	the	the	DET
esrj-21212	75	25	dissimilarity	dissimilarity	NOUN
esrj-21212	75	26	representations	representation	NOUN
esrj-21212	75	27	described	describe	VERB
esrj-21212	75	28	above	above	ADV
esrj-21212	75	29	.	.	PUNCT
esrj-21212	76	1	experiments	experiment	NOUN
esrj-21212	76	2	were	be	AUX
esrj-21212	76	3	performed	perform	VERB
esrj-21212	76	4	25	25	NUM
esrj-21212	76	5	times	time	NOUN
esrj-21212	76	6	for	for	ADP
esrj-21212	76	7	randomly	randomly	ADV
esrj-21212	76	8	chosen	choose	VERB
esrj-21212	76	9	training	training	NOUN
esrj-21212	76	10	and	and	CCONJ
esrj-21212	76	11	test	test	NOUN
esrj-21212	76	12	sets	set	NOUN
esrj-21212	76	13	.	.	PUNCT
esrj-21212	77	1	since	since	SCONJ
esrj-21212	77	2	we	we	PRON
esrj-21212	77	3	are	be	AUX
esrj-21212	77	4	particularly	particularly	ADV
esrj-21212	77	5	interested	interested	ADJ
esrj-21212	77	6	in	in	ADP
esrj-21212	77	7	accuracy	accuracy	NOUN
esrj-21212	77	8	recognition	recognition	NOUN
esrj-21212	77	9	rather	rather	ADV
esrj-21212	77	10	than	than	ADP
esrj-21212	77	11	computational	computational	ADJ
esrj-21212	77	12	complexity	complexity	NOUN
esrj-21212	77	13	and	and	CCONJ
esrj-21212	77	14	storage	storage	NOUN
esrj-21212	77	15	requirements	requirement	NOUN
esrj-21212	77	16	,	,	PUNCT
esrj-21212	77	17	the	the	DET
esrj-21212	77	18	entire	entire	ADJ
esrj-21212	77	19	training	training	NOUN
esrj-21212	77	20	set	set	NOUN
esrj-21212	77	21	has	have	AUX
esrj-21212	77	22	been	be	AUX
esrj-21212	77	23	used	use	VERB
esrj-21212	77	24	as	as	ADP
esrj-21212	77	25	the	the	DET
esrj-21212	77	26	representation	representation	NOUN
esrj-21212	77	27	set	set	VERB
esrj-21212	77	28	.	.	PUNCT
esrj-21212	78	1	nonetheless	nonetheless	ADV
esrj-21212	78	2	,	,	PUNCT
esrj-21212	78	3	may	may	AUX
esrj-21212	78	4	be	be	AUX
esrj-21212	78	5	properly	properly	ADV
esrj-21212	78	6	reduced	reduce	VERB
esrj-21212	78	7	by	by	ADP
esrj-21212	78	8	prototype	prototype	NOUN
esrj-21212	78	9	selection	selection	NOUN
esrj-21212	78	10	procedures	procedure	NOUN
esrj-21212	78	11	(	(	PUNCT
esrj-21212	78	12	pękalska	pękalska	NOUN
esrj-21212	78	13	et	et	PROPN
esrj-21212	78	14	al	al	PROPN
esrj-21212	78	15	.	.	PROPN
esrj-21212	78	16	,	,	PUNCT
esrj-21212	78	17	2006	2006	NUM
esrj-21212	78	18	)	)	PUNCT
esrj-21212	78	19	.	.	PUNCT
esrj-21212	79	1	training	training	NOUN
esrj-21212	79	2	and	and	CCONJ
esrj-21212	79	3	testing	testing	NOUN
esrj-21212	79	4	sets	set	NOUN
esrj-21212	79	5	were	be	AUX
esrj-21212	79	6	generated	generate	VERB
esrj-21212	79	7	by	by	ADP
esrj-21212	79	8	selecting	select	VERB
esrj-21212	79	9	equal	equal	ADJ
esrj-21212	79	10	partitions	partition	NOUN
esrj-21212	79	11	for	for	ADP
esrj-21212	79	12	the	the	DET
esrj-21212	79	13	classes	class	NOUN
esrj-21212	79	14	.	.	PUNCT
esrj-21212	80	1	the	the	DET
esrj-21212	80	2	results	result	NOUN
esrj-21212	80	3	of	of	ADP
esrj-21212	80	4	our	our	PRON
esrj-21212	80	5	experiments	experiment	NOUN
esrj-21212	80	6	are	be	AUX
esrj-21212	80	7	shown	show	VERB
esrj-21212	80	8	in	in	ADP
esrj-21212	80	9	figures	figure	NOUN
esrj-21212	80	10	3	3	NUM
esrj-21212	80	11	and	and	CCONJ
esrj-21212	80	12	4	4	NUM
esrj-21212	80	13	.	.	X
esrj-21212	81	1	they	they	PRON
esrj-21212	81	2	present	present	VERB
esrj-21212	81	3	the	the	DET
esrj-21212	81	4	generalization	generalization	NOUN
esrj-21212	81	5	errors	error	NOUN
esrj-21212	81	6	as	as	ADP
esrj-21212	81	7	a	a	DET
esrj-21212	81	8	function	function	NOUN
esrj-21212	81	9	of	of	ADP
esrj-21212	81	10	the	the	DET
esrj-21212	81	11	number	number	NOUN
esrj-21212	81	12	of	of	ADP
esrj-21212	81	13	randomlychosen	randomlychosen	NOUN
esrj-21212	81	14	training	training	NOUN
esrj-21212	81	15	objects	object	NOUN
esrj-21212	81	16	.	.	PUNCT
esrj-21212	82	1	figure	figure	VERB
esrj-21212	82	2	3	3	NUM
esrj-21212	82	3	presents	present	VERB
esrj-21212	82	4	the	the	DET
esrj-21212	82	5	results	result	NOUN
esrj-21212	82	6	for	for	ADP
esrj-21212	82	7	four	four	NUM
esrj-21212	82	8	dissimilarity	dissimilarity	NOUN
esrj-21212	82	9	representations	representation	NOUN
esrj-21212	82	10	of	of	ADP
esrj-21212	82	11	the	the	DET
esrj-21212	82	12	ruiz	ruiz	NOUN
esrj-21212	82	13	-	-	PUNCT
esrj-21212	82	14	vt	vt	PROPN
esrj-21212	82	15	,	,	PUNCT
esrj-21212	82	16	lp	lp	PROPN
esrj-21212	82	17	two	two	NUM
esrj-21212	82	18	-	-	PUNCT
esrj-21212	82	19	class	class	NOUN
esrj-21212	82	20	problem	problem	NOUN
esrj-21212	82	21	;	;	PUNCT
esrj-21212	82	22	similarly	similarly	ADV
esrj-21212	82	23	,	,	PUNCT
esrj-21212	82	24	the	the	DET
esrj-21212	82	25	results	result	NOUN
esrj-21212	82	26	for	for	ADP
esrj-21212	82	27	the	the	DET
esrj-21212	82	28	ruiz	ruiz	NOUN
esrj-21212	82	29	-	-	PUNCT
esrj-21212	82	30	all	all	DET
esrj-21212	82	31	problem	problem	NOUN
esrj-21212	82	32	are	be	AUX
esrj-21212	82	33	shown	show	VERB
esrj-21212	82	34	in	in	ADP
esrj-21212	82	35	figure	figure	NOUN
esrj-21212	82	36	4	4	NUM
esrj-21212	82	37	.	.	PUNCT
esrj-21212	82	38	standard	standard	ADJ
esrj-21212	82	39	deviations	deviation	NOUN
esrj-21212	82	40	for	for	ADP
esrj-21212	82	41	averaged	average	VERB
esrj-21212	82	42	test	test	NOUN
esrj-21212	82	43	errors	error	NOUN
esrj-21212	82	44	decrease	decrease	VERB
esrj-21212	82	45	rapidly	rapidly	ADV
esrj-21212	82	46	,	,	PUNCT
esrj-21212	82	47	varying	vary	VERB
esrj-21212	82	48	around	around	ADP
esrj-21212	82	49	0.02	0.02	NUM
esrj-21212	82	50	after	after	SCONJ
esrj-21212	82	51	at	at	ADV
esrj-21212	82	52	least	least	ADV
esrj-21212	82	53	10	10	NUM
esrj-21212	82	54	training	training	NOUN
esrj-21212	82	55	objects	object	NOUN
esrj-21212	82	56	per	per	ADP
esrj-21212	82	57	class	class	NOUN
esrj-21212	82	58	become	become	VERB
esrj-21212	82	59	available	available	ADJ
esrj-21212	82	60	;	;	PUNCT
esrj-21212	82	61	for	for	ADP
esrj-21212	82	62	clarity	clarity	NOUN
esrj-21212	82	63	reasons	reason	NOUN
esrj-21212	82	64	,	,	PUNCT
esrj-21212	82	65	standard	standard	ADJ
esrj-21212	82	66	deviations	deviation	NOUN
esrj-21212	82	67	are	be	AUX
esrj-21212	82	68	not	not	PART
esrj-21212	82	69	presented	present	VERB
esrj-21212	82	70	in	in	ADP
esrj-21212	82	71	figures	figure	NOUN
esrj-21212	82	72	3	3	NUM
esrj-21212	82	73	and	and	CCONJ
esrj-21212	82	74	4	4	NUM
esrj-21212	82	75	.	.	NOUN
esrj-21212	82	76	final	final	ADJ
esrj-21212	82	77	errors	error	NOUN
esrj-21212	82	78	and	and	CCONJ
esrj-21212	82	79	their	their	PRON
esrj-21212	82	80	standard	standard	ADJ
esrj-21212	82	81	deviations	deviation	NOUN
esrj-21212	82	82	are	be	AUX
esrj-21212	82	83	summarized	summarize	VERB
esrj-21212	82	84	in	in	ADP
esrj-21212	82	85	table	table	NOUN
esrj-21212	82	86	2	2	NUM
esrj-21212	82	87	.	.	PUNCT
esrj-21212	82	88	orozco	orozco	PROPN
esrj-21212	82	89	et	et	PROPN
esrj-21212	82	90	al	al	PROPN
esrj-21212	82	91	.	.	PROPN
esrj-21212	82	92	,	,	PUNCT
esrj-21212	82	93	esrj	esrj	NOUN
esrj-21212	82	94	vol	vol	NOUN
esrj-21212	82	95	.	.	PROPN
esrj-21212	83	1	10	10	NUM
esrj-21212	83	2	,	,	PUNCT
esrj-21212	83	3	no	no	INTJ
esrj-21212	83	4	.	.	NOUN
esrj-21212	83	5	2	2	NUM
esrj-21212	83	6	.	.	X
esrj-21212	84	1	december	december	PROPN
esrj-21212	84	2	2006	2006	NUM
esrj-21212	84	3	61	61	NUM
esrj-21212	84	4	figure	figure	NOUN
esrj-21212	84	5	3	3	NUM
esrj-21212	84	6	.	.	PUNCT
esrj-21212	84	7	ruiz	ruiz	NOUN
esrj-21212	84	8	-	-	PUNCT
esrj-21212	84	9	vt	vt	PROPN
esrj-21212	84	10	,	,	PUNCT
esrj-21212	84	11	lp	lp	PROPN
esrj-21212	84	12	data	datum	NOUN
esrj-21212	84	13	.	.	PUNCT
esrj-21212	85	1	average	average	ADJ
esrj-21212	85	2	classification	classification	NOUN
esrj-21212	85	3	error	error	NOUN
esrj-21212	85	4	of	of	ADP
esrj-21212	85	5	the	the	DET
esrj-21212	85	6	bayesian	bayesian	NOUN
esrj-21212	85	7	classifiers	classifier	NOUN
esrj-21212	85	8	and	and	CCONJ
esrj-21212	85	9	the	the	DET
esrj-21212	85	10	1	1	NUM
esrj-21212	85	11	-	-	PUNCT
esrj-21212	85	12	nn	nn	NOUN
esrj-21212	85	13	classifier	classifier	NOUN
esrj-21212	85	14	in	in	ADP
esrj-21212	85	15	different	different	ADJ
esrj-21212	85	16	dissimilarity	dissimilarity	NOUN
esrj-21212	85	17	spaces	space	NOUN
esrj-21212	85	18	(	(	PUNCT
esrj-21212	85	19	fft+euclidean	fft+euclidean	PROPN
esrj-21212	85	20	,	,	PUNCT
esrj-21212	85	21	fft+areas	fft+area	NOUN
esrj-21212	85	22	,	,	PUNCT
esrj-21212	85	23	psd+euclidean	psd+euclidean	ADJ
esrj-21212	85	24	and	and	CCONJ
esrj-21212	85	25	psd+areas	psd+area	NOUN
esrj-21212	85	26	)	)	PUNCT
esrj-21212	85	27	as	as	ADP
esrj-21212	85	28	a	a	DET
esrj-21212	85	29	function	function	NOUN
esrj-21212	85	30	of	of	ADP
esrj-21212	85	31	the	the	DET
esrj-21212	85	32	number	number	NOUN
esrj-21212	85	33	of	of	ADP
esrj-21212	85	34	prototypes	prototype	NOUN
esrj-21212	85	35	per	per	ADP
esrj-21212	85	36	class	class	NOUN
esrj-21212	85	37	.	.	PUNCT
esrj-21212	86	1	dissimilarity	dissimilarity	NOUN
esrj-21212	86	2	-	-	PUNCT
esrj-21212	86	3	based	base	VERB
esrj-21212	86	4	classification	classification	NOUN
esrj-21212	86	5	of	of	ADP
esrj-21212	86	6	seismic	seismic	ADJ
esrj-21212	86	7	signals	signal	NOUN
esrj-21212	86	8	at	at	ADP
esrj-21212	86	9	nevado	nevado	PROPN
esrj-21212	86	10	del	del	PROPN
esrj-21212	86	11	ruiz	ruiz	PROPN
esrj-21212	86	12	volcano	volcano	NOUN
esrj-21212	86	13	62	62	NUM
esrj-21212	86	14	figure	figure	NOUN
esrj-21212	86	15	4	4	NUM
esrj-21212	86	16	.	.	PUNCT
esrj-21212	86	17	ruiz	ruiz	NOUN
esrj-21212	86	18	-	-	PUNCT
esrj-21212	86	19	all	all	DET
esrj-21212	86	20	data	datum	NOUN
esrj-21212	86	21	.	.	PUNCT
esrj-21212	87	1	average	average	ADJ
esrj-21212	87	2	classification	classification	NOUN
esrj-21212	87	3	errors	error	NOUN
esrj-21212	87	4	of	of	ADP
esrj-21212	87	5	the	the	DET
esrj-21212	87	6	bayesian	bayesian	NOUN
esrj-21212	87	7	classifiers	classifier	NOUN
esrj-21212	87	8	and	and	CCONJ
esrj-21212	87	9	the	the	DET
esrj-21212	87	10	1	1	NUM
esrj-21212	87	11	-	-	PUNCT
esrj-21212	87	12	nn	nn	NOUN
esrj-21212	87	13	classifier	classifier	NOUN
esrj-21212	87	14	in	in	ADP
esrj-21212	87	15	different	different	ADJ
esrj-21212	87	16	dissimilarity	dissimilarity	NOUN
esrj-21212	87	17	spaces	space	NOUN
esrj-21212	87	18	(	(	PUNCT
esrj-21212	87	19	fft+euclidean	fft+euclidean	PROPN
esrj-21212	87	20	,	,	PUNCT
esrj-21212	87	21	fft+areas	fft+area	NOUN
esrj-21212	87	22	,	,	PUNCT
esrj-21212	87	23	psd+euclidean	psd+euclidean	ADJ
esrj-21212	87	24	,	,	PUNCT
esrj-21212	87	25	and	and	CCONJ
esrj-21212	87	26	psd+areas	psd+area	NOUN
esrj-21212	87	27	)	)	PUNCT
esrj-21212	87	28	as	as	ADP
esrj-21212	87	29	a	a	DET
esrj-21212	87	30	function	function	NOUN
esrj-21212	87	31	of	of	ADP
esrj-21212	87	32	the	the	DET
esrj-21212	87	33	number	number	NOUN
esrj-21212	87	34	of	of	ADP
esrj-21212	87	35	prototypes	prototype	NOUN
esrj-21212	87	36	per	per	ADP
esrj-21212	87	37	class	class	NOUN
esrj-21212	87	38	.	.	PUNCT
esrj-21212	88	1	orozco	orozco	PROPN
esrj-21212	88	2	et	et	PROPN
esrj-21212	88	3	al	al	PROPN
esrj-21212	88	4	.	.	PROPN
esrj-21212	88	5	,	,	PUNCT
esrj-21212	88	6	esrj	esrj	NOUN
esrj-21212	88	7	vol	vol	NOUN
esrj-21212	88	8	.	.	PROPN
esrj-21212	89	1	10	10	NUM
esrj-21212	89	2	,	,	PUNCT
esrj-21212	89	3	no	no	INTJ
esrj-21212	89	4	.	.	NOUN
esrj-21212	89	5	2	2	NUM
esrj-21212	89	6	.	.	X
esrj-21212	90	1	december	december	PROPN
esrj-21212	90	2	2006	2006	NUM
esrj-21212	90	3	63	63	NUM
esrj-21212	90	4	table	table	NOUN
esrj-21212	90	5	2	2	NUM
esrj-21212	90	6	.	.	PUNCT
esrj-21212	90	7	averaged	average	VERB
esrj-21212	90	8	final	final	ADJ
esrj-21212	90	9	classification	classification	NOUN
esrj-21212	90	10	error	error	NOUN
esrj-21212	90	11	(	(	PUNCT
esrj-21212	90	12	in	in	ADP
esrj-21212	90	13	%	%	NOUN
esrj-21212	90	14	)	)	PUNCT
esrj-21212	90	15	with	with	ADP
esrj-21212	90	16	its	its	PRON
esrj-21212	90	17	standard	standard	ADJ
esrj-21212	90	18	deviation	deviation	NOUN
esrj-21212	90	19	for	for	ADP
esrj-21212	90	20	the	the	DET
esrj-21212	90	21	four	four	NUM
esrj-21212	90	22	representations	representation	NOUN
esrj-21212	90	23	and	and	CCONJ
esrj-21212	90	24	the	the	DET
esrj-21212	90	25	three	three	NUM
esrj-21212	90	26	classifiers	classifier	NOUN
esrj-21212	90	27	considered	consider	VERB
esrj-21212	90	28	.	.	PUNCT
esrj-21212	91	1	ruiz	ruiz	NOUN
esrj-21212	91	2	-	-	PUNCT
esrj-21212	91	3	vt	vt	PROPN
esrj-21212	91	4	,	,	PUNCT
esrj-21212	91	5	lp	lp	PROPN
esrj-21212	91	6	two	two	NUM
esrj-21212	91	7	-	-	PUNCT
esrj-21212	91	8	class	class	NOUN
esrj-21212	91	9	problem	problem	NOUN
esrj-21212	91	10	representation	representation	NOUN
esrj-21212	91	11	k	k	PROPN
esrj-21212	91	12	-	-	PUNCT
esrj-21212	91	13	nn	nn	PROPN
esrj-21212	91	14	ldc	ldc	PROPN
esrj-21212	91	15	qdc	qdc	PROPN
esrj-21212	91	16	fft	fft	PROPN
esrj-21212	91	17	+	+	CCONJ
esrj-21212	91	18	euclidean	euclidean	ADJ
esrj-21212	91	19	19.85	19.85	NUM
esrj-21212	91	20	(	(	PUNCT
esrj-21212	91	21	1.84	1.84	NUM
esrj-21212	91	22	)	)	PUNCT
esrj-21212	91	23	14.79	14.79	NUM
esrj-21212	91	24	(	(	PUNCT
esrj-21212	91	25	1.55	1.55	NUM
esrj-21212	91	26	)	)	PUNCT
esrj-21212	91	27	16.36	16.36	NUM
esrj-21212	91	28	(	(	PUNCT
esrj-21212	91	29	2.15	2.15	NUM
esrj-21212	91	30	)	)	PUNCT
esrj-21212	91	31	fft	fft	NOUN
esrj-21212	91	32	+	+	CCONJ
esrj-21212	91	33	areas	area	NOUN
esrj-21212	91	34	19.90	19.90	NUM
esrj-21212	91	35	(	(	PUNCT
esrj-21212	91	36	2.04	2.04	NUM
esrj-21212	91	37	)	)	PUNCT
esrj-21212	91	38	14.94	14.94	NUM
esrj-21212	91	39	(	(	PUNCT
esrj-21212	91	40	1.00	1.00	NUM
esrj-21212	91	41	)	)	PUNCT
esrj-21212	91	42	19.35	19.35	NUM
esrj-21212	91	43	(	(	PUNCT
esrj-21212	91	44	1.98	1.98	NUM
esrj-21212	91	45	)	)	PUNCT
esrj-21212	91	46	psd	psd	NOUN
esrj-21212	91	47	+	+	CCONJ
esrj-21212	91	48	euclidean	euclidean	ADJ
esrj-21212	91	49	17.99	17.99	NUM
esrj-21212	91	50	(	(	PUNCT
esrj-21212	91	51	2.03	2.03	NUM
esrj-21212	91	52	)	)	PUNCT
esrj-21212	91	53	13.35	13.35	NUM
esrj-21212	91	54	(	(	PUNCT
esrj-21212	91	55	1.24	1.24	NUM
esrj-21212	91	56	)	)	PUNCT
esrj-21212	91	57	15.45	15.45	NUM
esrj-21212	91	58	(	(	PUNCT
esrj-21212	91	59	1.38	1.38	NUM
esrj-21212	91	60	)	)	PUNCT
esrj-21212	91	61	psd	psd	NOUN
esrj-21212	91	62	+	+	NUM
esrj-21212	91	63	areas	area	NOUN
esrj-21212	91	64	17.48	17.48	NUM
esrj-21212	91	65	(	(	PUNCT
esrj-21212	91	66	2.09	2.09	NUM
esrj-21212	91	67	)	)	PUNCT
esrj-21212	91	68	13.40	13.40	NUM
esrj-21212	91	69	(	(	PUNCT
esrj-21212	91	70	1.06	1.06	NUM
esrj-21212	91	71	)	)	PUNCT
esrj-21212	91	72	16.23	16.23	NUM
esrj-21212	91	73	(	(	PUNCT
esrj-21212	91	74	2.05	2.05	NUM
esrj-21212	91	75	)	)	PUNCT
esrj-21212	91	76	ruiz	ruiz	NOUN
esrj-21212	91	77	-	-	PUNCT
esrj-21212	91	78	all	all	DET
esrj-21212	91	79	problem	problem	NOUN
esrj-21212	91	80	fft	fft	NOUN
esrj-21212	91	81	+	+	CCONJ
esrj-21212	91	82	euclidean	euclidean	VERB
esrj-21212	91	83	24.53	24.53	NUM
esrj-21212	91	84	(	(	PUNCT
esrj-21212	91	85	1.66	1.66	NUM
esrj-21212	91	86	)	)	PUNCT
esrj-21212	91	87	18.57	18.57	NUM
esrj-21212	91	88	(	(	PUNCT
esrj-21212	91	89	1.13	1.13	NUM
esrj-21212	91	90	)	)	PUNCT
esrj-21212	91	91	19.31	19.31	NUM
esrj-21212	91	92	(	(	PUNCT
esrj-21212	91	93	1.33	1.33	NUM
esrj-21212	91	94	)	)	PUNCT
esrj-21212	91	95	fft	fft	NOUN
esrj-21212	91	96	+	+	CCONJ
esrj-21212	91	97	areas	area	NOUN
esrj-21212	91	98	24.28	24.28	NUM
esrj-21212	91	99	(	(	PUNCT
esrj-21212	91	100	1.52	1.52	NUM
esrj-21212	91	101	)	)	PUNCT
esrj-21212	91	102	18.94	18.94	NUM
esrj-21212	91	103	(	(	PUNCT
esrj-21212	91	104	1.02	1.02	NUM
esrj-21212	91	105	)	)	PUNCT
esrj-21212	91	106	26.38	26.38	NUM
esrj-21212	91	107	(	(	PUNCT
esrj-21212	91	108	2.73	2.73	NUM
esrj-21212	91	109	)	)	PUNCT
esrj-21212	91	110	psd	psd	NOUN
esrj-21212	91	111	+	+	CCONJ
esrj-21212	91	112	euclidean	euclidean	ADJ
esrj-21212	91	113	27.76	27.76	NUM
esrj-21212	91	114	(	(	PUNCT
esrj-21212	91	115	2.08	2.08	NUM
esrj-21212	91	116	)	)	PUNCT
esrj-21212	91	117	21.19	21.19	NUM
esrj-21212	91	118	(	(	PUNCT
esrj-21212	91	119	0.80	0.80	NUM
esrj-21212	91	120	)	)	PUNCT
esrj-21212	91	121	24.10	24.10	NUM
esrj-21212	91	122	(	(	PUNCT
esrj-21212	91	123	1.47	1.47	NUM
esrj-21212	91	124	)	)	PUNCT
esrj-21212	91	125	psd	psd	NOUN
esrj-21212	91	126	+	+	NUM
esrj-21212	91	127	areas	area	NOUN
esrj-21212	91	128	26.70	26.70	NUM
esrj-21212	91	129	(	(	PUNCT
esrj-21212	91	130	1.67	1.67	NUM
esrj-21212	91	131	)	)	PUNCT
esrj-21212	91	132	20.11	20.11	NUM
esrj-21212	91	133	(	(	PUNCT
esrj-21212	91	134	1.25	1.25	NUM
esrj-21212	91	135	)	)	PUNCT
esrj-21212	91	136	22.99	22.99	NUM
esrj-21212	91	137	(	(	PUNCT
esrj-21212	91	138	1.85	1.85	NUM
esrj-21212	91	139	)	)	PUNCT
esrj-21212	91	140	discussion	discussion	NOUN
esrj-21212	91	141	and	and	CCONJ
esrj-21212	91	142	conclusions	conclusion	NOUN
esrj-21212	91	143	we	we	PRON
esrj-21212	91	144	have	have	AUX
esrj-21212	91	145	explored	explore	VERB
esrj-21212	91	146	and	and	CCONJ
esrj-21212	91	147	tested	test	VERB
esrj-21212	91	148	a	a	DET
esrj-21212	91	149	dissimilaritybased	dissimilaritybase	VERB
esrj-21212	91	150	strategy	strategy	NOUN
esrj-21212	91	151	for	for	ADP
esrj-21212	91	152	classifying	classify	VERB
esrj-21212	91	153	three	three	NUM
esrj-21212	91	154	different	different	ADJ
esrj-21212	91	155	types	type	NOUN
esrj-21212	91	156	of	of	ADP
esrj-21212	91	157	volcanic	volcanic	ADJ
esrj-21212	91	158	-	-	PUNCT
esrj-21212	91	159	seismic	seismic	ADJ
esrj-21212	91	160	signals	signal	NOUN
esrj-21212	91	161	recorded	record	VERB
esrj-21212	91	162	by	by	ADP
esrj-21212	91	163	the	the	DET
esrj-21212	91	164	monitoring	monitoring	NOUN
esrj-21212	91	165	network	network	NOUN
esrj-21212	91	166	at	at	ADP
esrj-21212	91	167	nrv	nrv	PROPN
esrj-21212	91	168	.	.	PUNCT
esrj-21212	92	1	two	two	NUM
esrj-21212	92	2	classification	classification	NOUN
esrj-21212	92	3	problems	problem	NOUN
esrj-21212	92	4	were	be	AUX
esrj-21212	92	5	conducted	conduct	VERB
esrj-21212	92	6	:	:	PUNCT
esrj-21212	92	7	a	a	DET
esrj-21212	92	8	two	two	NUM
esrj-21212	92	9	-	-	PUNCT
esrj-21212	92	10	class	class	NOUN
esrj-21212	92	11	problem	problem	NOUN
esrj-21212	92	12	including	include	VERB
esrj-21212	92	13	vt	vt	PROPN
esrj-21212	92	14	earthquakes	earthquake	NOUN
esrj-21212	92	15	and	and	CCONJ
esrj-21212	92	16	lp	lp	ADJ
esrj-21212	92	17	seismic	seismic	ADJ
esrj-21212	92	18	events	event	NOUN
esrj-21212	92	19	,	,	PUNCT
esrj-21212	92	20	and	and	CCONJ
esrj-21212	92	21	a	a	DET
esrj-21212	92	22	multi	multi	ADJ
esrj-21212	92	23	-	-	ADJ
esrj-21212	92	24	class	class	ADJ
esrj-21212	92	25	problem	problem	NOUN
esrj-21212	92	26	including	include	VERB
esrj-21212	92	27	ice	ice	NOUN
esrj-21212	92	28	-	-	PUNCT
esrj-21212	92	29	related	relate	VERB
esrj-21212	92	30	seismic	seismic	ADJ
esrj-21212	92	31	events	event	NOUN
esrj-21212	92	32	.	.	PUNCT
esrj-21212	93	1	four	four	NUM
esrj-21212	93	2	dissimilarity	dissimilarity	NOUN
esrj-21212	93	3	representations	representation	NOUN
esrj-21212	93	4	were	be	AUX
esrj-21212	93	5	derived	derive	VERB
esrj-21212	93	6	by	by	ADP
esrj-21212	93	7	combining	combine	VERB
esrj-21212	93	8	two	two	NUM
esrj-21212	93	9	different	different	ADJ
esrj-21212	93	10	approaches	approach	NOUN
esrj-21212	93	11	for	for	ADP
esrj-21212	93	12	spectral	spectral	ADJ
esrj-21212	93	13	estimation	estimation	NOUN
esrj-21212	93	14	:	:	PUNCT
esrj-21212	93	15	n	n	NUM
esrj-21212	93	16	-	-	PUNCT
esrj-21212	93	17	point	point	NOUN
esrj-21212	93	18	fft	fft	NOUN
esrj-21212	93	19	and	and	CCONJ
esrj-21212	93	20	parametric	parametric	PROPN
esrj-21212	93	21	psd	psd	PROPN
esrj-21212	93	22	estimation	estimation	NOUN
esrj-21212	93	23	,	,	PUNCT
esrj-21212	93	24	as	as	ADV
esrj-21212	93	25	well	well	ADV
esrj-21212	93	26	as	as	ADP
esrj-21212	93	27	two	two	NUM
esrj-21212	93	28	dissimilarity	dissimilarity	NOUN
esrj-21212	93	29	measures	measure	NOUN
esrj-21212	93	30	:	:	PUNCT
esrj-21212	93	31	euclidean	euclidean	ADJ
esrj-21212	93	32	distance	distance	NOUN
esrj-21212	93	33	and	and	CCONJ
esrj-21212	93	34	area	area	NOUN
esrj-21212	93	35	difference	difference	NOUN
esrj-21212	93	36	between	between	ADP
esrj-21212	93	37	spectral	spectral	ADJ
esrj-21212	93	38	curves	curve	NOUN
esrj-21212	93	39	.	.	PUNCT
esrj-21212	94	1	these	these	DET
esrj-21212	94	2	dissimilarity	dissimilarity	NOUN
esrj-21212	94	3	representations	representation	NOUN
esrj-21212	94	4	allowed	allow	VERB
esrj-21212	94	5	the	the	DET
esrj-21212	94	6	usage	usage	NOUN
esrj-21212	94	7	of	of	ADP
esrj-21212	94	8	traditional	traditional	ADJ
esrj-21212	94	9	statistical	statistical	ADJ
esrj-21212	94	10	decision	decision	NOUN
esrj-21212	94	11	rules	rule	NOUN
esrj-21212	94	12	,	,	PUNCT
esrj-21212	94	13	particularly	particularly	ADV
esrj-21212	94	14	normal	normal	ADJ
esrj-21212	94	15	density	density	NOUN
esrj-21212	94	16	based	base	VERB
esrj-21212	94	17	classifiers	classifier	NOUN
esrj-21212	94	18	.	.	PUNCT
esrj-21212	95	1	the	the	DET
esrj-21212	95	2	1	1	NUM
esrj-21212	95	3	-	-	PUNCT
esrj-21212	95	4	nn	nn	NUM
esrj-21212	95	5	rule	rule	NOUN
esrj-21212	95	6	was	be	AUX
esrj-21212	95	7	employed	employ	VERB
esrj-21212	95	8	as	as	ADP
esrj-21212	95	9	a	a	DET
esrj-21212	95	10	reference	reference	NOUN
esrj-21212	95	11	for	for	ADP
esrj-21212	95	12	performance	performance	NOUN
esrj-21212	95	13	comparison	comparison	NOUN
esrj-21212	95	14	.	.	PUNCT
esrj-21212	96	1	the	the	DET
esrj-21212	96	2	two	two	NUM
esrj-21212	96	3	-	-	PUNCT
esrj-21212	96	4	class	class	NOUN
esrj-21212	96	5	ruiz	ruiz	NOUN
esrj-21212	96	6	-	-	PUNCT
esrj-21212	96	7	vt	vt	PROPN
esrj-21212	96	8	,	,	PUNCT
esrj-21212	96	9	lp	lp	ADJ
esrj-21212	96	10	problem	problem	NOUN
esrj-21212	96	11	seems	seem	VERB
esrj-21212	96	12	the	the	DET
esrj-21212	96	13	easiest	easy	ADJ
esrj-21212	96	14	because	because	SCONJ
esrj-21212	96	15	it	it	PRON
esrj-21212	96	16	contains	contain	VERB
esrj-21212	96	17	signals	signal	NOUN
esrj-21212	96	18	detected	detect	VERB
esrj-21212	96	19	and	and	CCONJ
esrj-21212	96	20	identified	identify	VERB
esrj-21212	96	21	by	by	ADP
esrj-21212	96	22	the	the	DET
esrj-21212	96	23	same	same	ADJ
esrj-21212	96	24	station	station	NOUN
esrj-21212	96	25	(	(	PUNCT
esrj-21212	96	26	olleta	olleta	PROPN
esrj-21212	96	27	crater	crater	NOUN
esrj-21212	96	28	station	station	NOUN
esrj-21212	96	29	)	)	PUNCT
esrj-21212	96	30	;	;	PUNCT
esrj-21212	96	31	thus	thus	ADV
esrj-21212	96	32	it	it	PRON
esrj-21212	96	33	is	be	AUX
esrj-21212	96	34	expected	expect	VERB
esrj-21212	96	35	that	that	SCONJ
esrj-21212	96	36	sensor	sensor	NOUN
esrj-21212	96	37	and	and	CCONJ
esrj-21212	96	38	noise	noise	NOUN
esrj-21212	96	39	conditions	condition	NOUN
esrj-21212	96	40	are	be	AUX
esrj-21212	96	41	the	the	DET
esrj-21212	96	42	same	same	ADJ
esrj-21212	96	43	influencing	influence	VERB
esrj-21212	96	44	the	the	DET
esrj-21212	96	45	subsequent	subsequent	ADJ
esrj-21212	96	46	steps	step	NOUN
esrj-21212	96	47	for	for	ADP
esrj-21212	96	48	representation	representation	NOUN
esrj-21212	96	49	and	and	CCONJ
esrj-21212	96	50	classification	classification	NOUN
esrj-21212	96	51	.	.	PUNCT
esrj-21212	97	1	in	in	ADP
esrj-21212	97	2	addition	addition	NOUN
esrj-21212	97	3	,	,	PUNCT
esrj-21212	97	4	it	it	PRON
esrj-21212	97	5	is	be	AUX
esrj-21212	97	6	well	well	ADV
esrj-21212	97	7	know	know	VERB
esrj-21212	97	8	that	that	SCONJ
esrj-21212	97	9	,	,	PUNCT
esrj-21212	97	10	in	in	ADP
esrj-21212	97	11	general	general	ADJ
esrj-21212	97	12	,	,	PUNCT
esrj-21212	97	13	multi	multi	ADJ
esrj-21212	97	14	-	-	ADJ
esrj-21212	97	15	class	class	ADJ
esrj-21212	97	16	problems	problem	NOUN
esrj-21212	97	17	are	be	AUX
esrj-21212	97	18	more	more	ADV
esrj-21212	97	19	difficult	difficult	ADJ
esrj-21212	97	20	to	to	PART
esrj-21212	97	21	deal	deal	VERB
esrj-21212	97	22	with	with	ADP
esrj-21212	97	23	.	.	PUNCT
esrj-21212	98	1	for	for	ADP
esrj-21212	98	2	the	the	DET
esrj-21212	98	3	two	two	NUM
esrj-21212	98	4	-	-	PUNCT
esrj-21212	98	5	class	class	NOUN
esrj-21212	98	6	problem	problem	NOUN
esrj-21212	98	7	,	,	PUNCT
esrj-21212	98	8	experiments	experiment	NOUN
esrj-21212	98	9	based	base	VERB
esrj-21212	98	10	on	on	ADP
esrj-21212	98	11	parametric	parametric	PROPN
esrj-21212	98	12	psd	psd	PROPN
esrj-21212	98	13	estimation	estimation	NOUN
esrj-21212	98	14	outperform	outperform	VERB
esrj-21212	98	15	those	those	PRON
esrj-21212	98	16	based	base	VERB
esrj-21212	98	17	on	on	ADP
esrj-21212	98	18	the	the	DET
esrj-21212	98	19	fft	fft	PROPN
esrj-21212	98	20	.	.	PUNCT
esrj-21212	99	1	this	this	PRON
esrj-21212	99	2	makes	make	VERB
esrj-21212	99	3	sense	sense	NOUN
esrj-21212	99	4	because	because	SCONJ
esrj-21212	99	5	event	event	NOUN
esrj-21212	99	6	lengths	length	NOUN
esrj-21212	99	7	are	be	AUX
esrj-21212	99	8	,	,	PUNCT
esrj-21212	99	9	in	in	ADP
esrj-21212	99	10	general	general	ADJ
esrj-21212	99	11	,	,	PUNCT
esrj-21212	99	12	short	short	ADJ
esrj-21212	99	13	and	and	CCONJ
esrj-21212	99	14	,	,	PUNCT
esrj-21212	99	15	consequently	consequently	ADV
esrj-21212	99	16	,	,	PUNCT
esrj-21212	99	17	a	a	DET
esrj-21212	99	18	parametric	parametric	ADJ
esrj-21212	99	19	spectral	spectral	ADJ
esrj-21212	99	20	estimation	estimation	NOUN
esrj-21212	99	21	yields	yield	VERB
esrj-21212	99	22	a	a	DET
esrj-21212	99	23	higher	high	ADJ
esrj-21212	99	24	resolution	resolution	NOUN
esrj-21212	99	25	;	;	PUNCT
esrj-21212	99	26	in	in	ADP
esrj-21212	99	27	addition	addition	NOUN
esrj-21212	99	28	,	,	PUNCT
esrj-21212	99	29	the	the	DET
esrj-21212	99	30	autoregressive	autoregressive	ADJ
esrj-21212	99	31	methods	method	NOUN
esrj-21212	99	32	(	(	PUNCT
esrj-21212	99	33	ar	ar	NOUN
esrj-21212	99	34	)	)	PUNCT
esrj-21212	99	35	tend	tend	VERB
esrj-21212	99	36	to	to	PART
esrj-21212	99	37	adequately	adequately	ADV
esrj-21212	99	38	describe	describe	VERB
esrj-21212	99	39	spectra	spectra	NOUN
esrj-21212	99	40	of	of	ADP
esrj-21212	99	41	peaky	peaky	ADJ
esrj-21212	99	42	data	datum	NOUN
esrj-21212	99	43	,	,	PUNCT
esrj-21212	99	44	which	which	PRON
esrj-21212	99	45	is	be	AUX
esrj-21212	99	46	precisely	precisely	ADV
esrj-21212	99	47	the	the	DET
esrj-21212	99	48	spectral	spectral	ADJ
esrj-21212	99	49	nature	nature	NOUN
esrj-21212	99	50	of	of	ADP
esrj-21212	99	51	many	many	ADJ
esrj-21212	99	52	volcanic	volcanic	ADJ
esrj-21212	99	53	-	-	PUNCT
esrj-21212	99	54	seismic	seismic	ADJ
esrj-21212	99	55	signals	signal	NOUN
esrj-21212	99	56	.	.	PUNCT
esrj-21212	100	1	in	in	ADP
esrj-21212	100	2	contrast	contrast	NOUN
esrj-21212	100	3	,	,	PUNCT
esrj-21212	100	4	for	for	ADP
esrj-21212	100	5	the	the	DET
esrj-21212	100	6	multi	multi	ADJ
esrj-21212	100	7	-	-	ADJ
esrj-21212	100	8	class	class	ADJ
esrj-21212	100	9	problem	problem	NOUN
esrj-21212	100	10	,	,	PUNCT
esrj-21212	100	11	the	the	DET
esrj-21212	100	12	fft	fft	NOUN
esrj-21212	100	13	yields	yield	VERB
esrj-21212	100	14	better	well	ADJ
esrj-21212	100	15	results	result	NOUN
esrj-21212	100	16	but	but	CCONJ
esrj-21212	100	17	,	,	PUNCT
esrj-21212	100	18	in	in	ADP
esrj-21212	100	19	these	these	DET
esrj-21212	100	20	particular	particular	ADJ
esrj-21212	100	21	cases	case	NOUN
esrj-21212	100	22	,	,	PUNCT
esrj-21212	100	23	differences	difference	NOUN
esrj-21212	100	24	are	be	AUX
esrj-21212	100	25	not	not	PART
esrj-21212	100	26	significant	significant	ADJ
esrj-21212	100	27	.	.	PUNCT
esrj-21212	101	1	our	our	PRON
esrj-21212	101	2	experiments	experiment	NOUN
esrj-21212	101	3	confirm	confirm	VERB
esrj-21212	101	4	that	that	SCONJ
esrj-21212	101	5	bayesian	bayesian	NOUN
esrj-21212	101	6	classifiers	classifier	NOUN
esrj-21212	101	7	outperform	outperform	VERB
esrj-21212	101	8	the	the	DET
esrj-21212	101	9	1	1	NUM
esrj-21212	101	10	-	-	PUNCT
esrj-21212	101	11	nn	nn	X
esrj-21212	101	12	classifier	classifier	NOUN
esrj-21212	101	13	,	,	PUNCT
esrj-21212	101	14	when	when	SCONJ
esrj-21212	101	15	a	a	DET
esrj-21212	101	16	sufficient	sufficient	ADJ
esrj-21212	101	17	number	number	NOUN
esrj-21212	101	18	of	of	ADP
esrj-21212	101	19	prototypes	prototype	NOUN
esrj-21212	101	20	are	be	AUX
esrj-21212	101	21	provided	provide	VERB
esrj-21212	101	22	.	.	PUNCT
esrj-21212	102	1	the	the	DET
esrj-21212	102	2	ldc	ldc	PROPN
esrj-21212	102	3	constructed	construct	VERB
esrj-21212	102	4	on	on	ADP
esrj-21212	102	5	the	the	DET
esrj-21212	102	6	different	different	ADJ
esrj-21212	102	7	dissimilarity	dissimilarity	NOUN
esrj-21212	102	8	representations	representation	NOUN
esrj-21212	102	9	,	,	PUNCT
esrj-21212	102	10	for	for	ADP
esrj-21212	102	11	both	both	PRON
esrj-21212	102	12	ruiz	ruiz	NOUN
esrj-21212	102	13	-	-	PUNCT
esrj-21212	102	14	vt	vt	PROPN
esrj-21212	102	15	,	,	PUNCT
esrj-21212	102	16	lp	lp	NOUN
esrj-21212	102	17	and	and	CCONJ
esrj-21212	102	18	ruizall	ruizall	ADJ
esrj-21212	102	19	problems	problem	NOUN
esrj-21212	102	20	,	,	PUNCT
esrj-21212	102	21	always	always	ADV
esrj-21212	102	22	outperforms	outperform	VERB
esrj-21212	102	23	the	the	DET
esrj-21212	102	24	1	1	NUM
esrj-21212	102	25	-	-	PUNCT
esrj-21212	102	26	nn	nn	NUM
esrj-21212	102	27	rule	rule	NOUN
esrj-21212	102	28	.	.	PUNCT
esrj-21212	103	1	ldc	ldc	PROPN
esrj-21212	103	2	accuracies	accuracy	NOUN
esrj-21212	103	3	for	for	ADP
esrj-21212	103	4	the	the	DET
esrj-21212	103	5	ruiz	ruiz	NOUN
esrj-21212	103	6	-	-	PUNCT
esrj-21212	103	7	vt	vt	PROPN
esrj-21212	103	8	,	,	PUNCT
esrj-21212	103	9	lp	lp	PROPN
esrj-21212	103	10	problem	problem	NOUN
esrj-21212	103	11	vary	vary	VERB
esrj-21212	103	12	between	between	ADP
esrj-21212	103	13	85	85	NUM
esrj-21212	103	14	%	%	NOUN
esrj-21212	103	15	and	and	CCONJ
esrj-21212	103	16	87	87	NUM
esrj-21212	103	17	%	%	NOUN
esrj-21212	103	18	when	when	SCONJ
esrj-21212	103	19	the	the	DET
esrj-21212	103	20	average	average	ADJ
esrj-21212	103	21	classification	classification	NOUN
esrj-21212	103	22	error	error	NOUN
esrj-21212	103	23	curve	curve	NOUN
esrj-21212	103	24	reaches	reach	VERB
esrj-21212	103	25	a	a	DET
esrj-21212	103	26	steady	steady	ADJ
esrj-21212	103	27	state	state	NOUN
esrj-21212	103	28	.	.	PUNCT
esrj-21212	104	1	similarly	similarly	ADV
esrj-21212	104	2	,	,	PUNCT
esrj-21212	104	3	classification	classification	NOUN
esrj-21212	104	4	accuracies	accuracy	NOUN
esrj-21212	104	5	for	for	ADP
esrj-21212	104	6	the	the	DET
esrj-21212	104	7	ruizall	ruizall	ADJ
esrj-21212	104	8	problem	problem	NOUN
esrj-21212	104	9	vary	vary	VERB
esrj-21212	104	10	between	between	ADP
esrj-21212	104	11	81	81	NUM
esrj-21212	104	12	%	%	NOUN
esrj-21212	104	13	and	and	CCONJ
esrj-21212	104	14	84	84	NUM
esrj-21212	104	15	%	%	NOUN
esrj-21212	104	16	.	.	PUNCT
esrj-21212	105	1	qdc	qdc	PROPN
esrj-21212	105	2	shows	show	VERB
esrj-21212	105	3	accuracy	accuracy	NOUN
esrj-21212	105	4	loss	loss	NOUN
esrj-21212	105	5	when	when	SCONJ
esrj-21212	105	6	certain	certain	ADJ
esrj-21212	105	7	number	number	NOUN
esrj-21212	105	8	of	of	ADP
esrj-21212	105	9	prototypes	prototype	NOUN
esrj-21212	105	10	is	be	AUX
esrj-21212	105	11	provided	provide	VERB
esrj-21212	105	12	.	.	PUNCT
esrj-21212	106	1	therefore	therefore	ADV
esrj-21212	106	2	,	,	PUNCT
esrj-21212	106	3	a	a	DET
esrj-21212	106	4	further	further	ADJ
esrj-21212	106	5	study	study	NOUN
esrj-21212	106	6	on	on	ADP
esrj-21212	106	7	a	a	DET
esrj-21212	106	8	proper	proper	ADJ
esrj-21212	106	9	regularization	regularization	NOUN
esrj-21212	106	10	for	for	ADP
esrj-21212	106	11	the	the	DET
esrj-21212	106	12	qdc	qdc	PROPN
esrj-21212	106	13	should	should	AUX
esrj-21212	106	14	be	be	AUX
esrj-21212	106	15	conducted	conduct	VERB
esrj-21212	106	16	in	in	ADP
esrj-21212	106	17	order	order	NOUN
esrj-21212	106	18	to	to	PART
esrj-21212	106	19	obtain	obtain	VERB
esrj-21212	106	20	an	an	DET
esrj-21212	106	21	improvement	improvement	NOUN
esrj-21212	106	22	of	of	ADP
esrj-21212	106	23	this	this	DET
esrj-21212	106	24	classifier	classifier	NOUN
esrj-21212	106	25	.	.	PUNCT
esrj-21212	107	1	ldc	ldc	PROPN
esrj-21212	107	2	accuracies	accuracy	NOUN
esrj-21212	107	3	could	could	AUX
esrj-21212	107	4	be	be	AUX
esrj-21212	107	5	an	an	DET
esrj-21212	107	6	intrinsic	intrinsic	ADJ
esrj-21212	107	7	limit	limit	NOUN
esrj-21212	107	8	of	of	ADP
esrj-21212	107	9	our	our	PRON
esrj-21212	107	10	classification	classification	NOUN
esrj-21212	107	11	problem	problem	NOUN
esrj-21212	107	12	;	;	PUNCT
esrj-21212	107	13	however	however	ADV
esrj-21212	107	14	,	,	PUNCT
esrj-21212	107	15	a	a	DET
esrj-21212	107	16	further	further	ADJ
esrj-21212	107	17	study	study	NOUN
esrj-21212	107	18	on	on	ADP
esrj-21212	107	19	other	other	ADJ
esrj-21212	107	20	dissimilaritybased	dissimilaritybase	VERB
esrj-21212	107	21	classifiers	classifier	NOUN
esrj-21212	107	22	is	be	AUX
esrj-21212	107	23	needed	need	VERB
esrj-21212	107	24	as	as	ADV
esrj-21212	107	25	well	well	ADV
esrj-21212	107	26	as	as	ADP
esrj-21212	107	27	a	a	DET
esrj-21212	107	28	re	re	NOUN
esrj-21212	107	29	-	-	NOUN
esrj-21212	107	30	analysis	analysis	NOUN
esrj-21212	107	31	of	of	ADP
esrj-21212	107	32	the	the	DET
esrj-21212	107	33	original	original	ADJ
esrj-21212	107	34	a	a	PRON
esrj-21212	107	35	-	-	PUNCT
esrj-21212	107	36	priori	priori	ADJ
esrj-21212	107	37	classification	classification	NOUN
esrj-21212	107	38	,	,	PUNCT
esrj-21212	107	39	in	in	ADP
esrj-21212	107	40	order	order	NOUN
esrj-21212	107	41	to	to	PART
esrj-21212	107	42	find	find	VERB
esrj-21212	107	43	more	more	ADV
esrj-21212	107	44	suitable	suitable	ADJ
esrj-21212	107	45	classifiers	classifier	NOUN
esrj-21212	107	46	and	and	CCONJ
esrj-21212	107	47	to	to	PART
esrj-21212	107	48	confirm	confirm	VERB
esrj-21212	107	49	the	the	DET
esrj-21212	107	50	labels	label	NOUN
esrj-21212	107	51	assigned	assign	VERB
esrj-21212	107	52	by	by	ADP
esrj-21212	107	53	the	the	DET
esrj-21212	107	54	experts	expert	NOUN
esrj-21212	107	55	.	.	PUNCT
esrj-21212	108	1	dissimilarity	dissimilarity	NOUN
esrj-21212	108	2	-	-	PUNCT
esrj-21212	108	3	based	base	VERB
esrj-21212	108	4	classification	classification	NOUN
esrj-21212	108	5	of	of	ADP
esrj-21212	108	6	seismic	seismic	ADJ
esrj-21212	108	7	signals	signal	NOUN
esrj-21212	108	8	at	at	ADP
esrj-21212	108	9	nevado	nevado	PROPN
esrj-21212	108	10	del	del	PROPN
esrj-21212	108	11	ruiz	ruiz	PROPN
esrj-21212	108	12	volcano	volcano	NOUN
esrj-21212	108	13	64	64	NUM
esrj-21212	108	14	acknowledgements	acknowledgement	NOUN
esrj-21212	108	15	this	this	DET
esrj-21212	108	16	work	work	NOUN
esrj-21212	108	17	was	be	AUX
esrj-21212	108	18	partially	partially	ADV
esrj-21212	108	19	supported	support	VERB
esrj-21212	108	20	by	by	ADP
esrj-21212	108	21	the	the	DET
esrj-21212	108	22	research	research	NOUN
esrj-21212	108	23	project	project	NOUN
esrj-21212	108	24	:	:	PUNCT
esrj-21212	108	25	“	"	PUNCT
esrj-21212	108	26	técnicas	técnicas	VERB
esrj-21212	108	27	de	de	X
esrj-21212	108	28	computación	computación	X
esrj-21212	108	29	de	de	X
esrj-21212	108	30	alto	alto	PROPN
esrj-21212	108	31	rendimiento	rendimiento	PROPN
esrj-21212	108	32	en	en	X
esrj-21212	108	33	la	la	PROPN
esrj-21212	108	34	interpretación	interpretación	PROPN
esrj-21212	108	35	automatizada	automatizada	PROPN
esrj-21212	108	36	de	de	PROPN
esrj-21212	108	37	imagines	imagine	VERB
esrj-21212	108	38	médicas	médicas	PROPN
esrj-21212	108	39	y	y	PROPN
esrj-21212	108	40	bioseñales	bioseñale	NOUN
esrj-21212	108	41	”	"	PUNCT
esrj-21212	108	42	.	.	PUNCT
esrj-21212	109	1	we	we	PRON
esrj-21212	109	2	thank	thank	VERB
esrj-21212	109	3	the	the	DET
esrj-21212	109	4	vsom	vsom	NOUN
esrj-21212	109	5	staff	staff	NOUN
esrj-21212	109	6	for	for	ADP
esrj-21212	109	7	providing	provide	VERB
esrj-21212	109	8	the	the	DET
esrj-21212	109	9	raw	raw	ADJ
esrj-21212	109	10	data	datum	NOUN
esrj-21212	109	11	set	set	NOUN
esrj-21212	109	12	,	,	PUNCT
esrj-21212	109	13	prof	prof	PROPN
esrj-21212	109	14	.	.	PROPN
esrj-21212	109	15	ricardo	ricardo	PROPN
esrj-21212	109	16	henao	henao	PROPN
esrj-21212	109	17	for	for	ADP
esrj-21212	109	18	his	his	PRON
esrj-21212	109	19	valuable	valuable	ADJ
esrj-21212	109	20	suggestions	suggestion	NOUN
esrj-21212	109	21	,	,	PUNCT
esrj-21212	109	22	and	and	CCONJ
esrj-21212	109	23	two	two	NUM
esrj-21212	109	24	anonymous	anonymous	ADJ
esrj-21212	109	25	reviewers	reviewer	NOUN
esrj-21212	109	26	for	for	ADP
esrj-21212	109	27	their	their	PRON
esrj-21212	109	28	useful	useful	ADJ
esrj-21212	109	29	comments	comment	NOUN
esrj-21212	109	30	.	.	PUNCT
esrj-21212	110	1	references	reference	NOUN
esrj-21212	110	2	benbrahim	benbrahim	PROPN
esrj-21212	110	3	,	,	PUNCT
esrj-21212	110	4	m.	m.	NOUN
esrj-21212	110	5	,	,	PUNCT
esrj-21212	110	6	daoudi	daoudi	PROPN
esrj-21212	110	7	,	,	PUNCT
esrj-21212	110	8	a.	a.	PROPN
esrj-21212	110	9	,	,	PUNCT
esrj-21212	110	10	benjelloun	benjelloun	PROPN
esrj-21212	110	11	,	,	PUNCT
esrj-21212	110	12	k.	k.	PROPN
esrj-21212	110	13	,	,	PUNCT
esrj-21212	110	14	and	and	CCONJ
esrj-21212	110	15	ibenbrahim	ibenbrahim	PROPN
esrj-21212	110	16	,	,	PUNCT
esrj-21212	110	17	a.	a.	PROPN
esrj-21212	110	18	(	(	PUNCT
esrj-21212	110	19	2005	2005	NUM
esrj-21212	110	20	)	)	PUNCT
esrj-21212	110	21	.	.	PUNCT
esrj-21212	111	1	discrimination	discrimination	NOUN
esrj-21212	111	2	of	of	ADP
esrj-21212	111	3	seismic	seismic	ADJ
esrj-21212	111	4	signals	signal	NOUN
esrj-21212	111	5	using	use	VERB
esrj-21212	111	6	artificial	artificial	ADJ
esrj-21212	111	7	neural	neural	ADJ
esrj-21212	111	8	networks	network	NOUN
esrj-21212	111	9	,	,	PUNCT
esrj-21212	111	10	2nd	2nd	ADJ
esrj-21212	111	11	world	world	NOUN
esrj-21212	111	12	enformatika	enformatika	PROPN
esrj-21212	111	13	conference	conference	PROPN
esrj-21212	111	14	,	,	PUNCT
esrj-21212	111	15	istanbul	istanbul	PROPN
esrj-21212	111	16	,	,	PUNCT
esrj-21212	111	17	turkey	turkey	PROPN
esrj-21212	111	18	,	,	PUNCT
esrj-21212	111	19	february	february	PROPN
esrj-21212	111	20	,	,	PUNCT
esrj-21212	111	21	4	4	NUM
esrj-21212	111	22	-	-	SYM
esrj-21212	111	23	7	7	NUM
esrj-21212	111	24	.	.	PUNCT
esrj-21212	111	25	duin	duin	PROPN
esrj-21212	111	26	,	,	PUNCT
esrj-21212	111	27	r.	r.	PROPN
esrj-21212	111	28	p.	p.	PROPN
esrj-21212	111	29	w.	w.	PROPN
esrj-21212	111	30	,	,	PUNCT
esrj-21212	111	31	de	de	PROPN
esrj-21212	111	32	ridder	ridder	PROPN
esrj-21212	111	33	,	,	PUNCT
esrj-21212	111	34	d.	d.	PROPN
esrj-21212	111	35	,	,	PUNCT
esrj-21212	111	36	and	and	CCONJ
esrj-21212	111	37	tax	tax	NOUN
esrj-21212	111	38	,	,	PUNCT
esrj-21212	111	39	d.	d.	PROPN
esrj-21212	111	40	m.	m.	PROPN
esrj-21212	111	41	j.	j.	PROPN
esrj-21212	111	42	(	(	PUNCT
esrj-21212	111	43	1998	1998	NUM
esrj-21212	111	44	)	)	PUNCT
esrj-21212	111	45	.	.	PUNCT
esrj-21212	112	1	featureless	featureless	ADJ
esrj-21212	112	2	pattern	pattern	NOUN
esrj-21212	112	3	classification	classification	NOUN
esrj-21212	112	4	,	,	PUNCT
esrj-21212	112	5	kybernetika	kybernetika	NOUN
esrj-21212	112	6	.	.	PUNCT
esrj-21212	113	1	34	34	NUM
esrj-21212	113	2	(	(	PUNCT
esrj-21212	113	3	4	4	NUM
esrj-21212	113	4	)	)	PUNCT
esrj-21212	113	5	.	.	PUNCT
esrj-21212	114	1	399	399	NUM
esrj-21212	114	2	-	-	SYM
esrj-21212	114	3	404	404	NUM
esrj-21212	114	4	.	.	PUNCT
esrj-21212	115	1	jain	jain	PROPN
esrj-21212	115	2	,	,	PUNCT
esrj-21212	115	3	a.	a.	PROPN
esrj-21212	115	4	k.	k.	PROPN
esrj-21212	115	5	,	,	PUNCT
esrj-21212	115	6	duin	duin	PROPN
esrj-21212	115	7	,	,	PUNCT
esrj-21212	115	8	r.	r.	PROPN
esrj-21212	115	9	p.	p.	PROPN
esrj-21212	115	10	w.	w.	PROPN
esrj-21212	115	11	,	,	PUNCT
esrj-21212	115	12	and	and	CCONJ
esrj-21212	115	13	mao	mao	PROPN
esrj-21212	115	14	,	,	PUNCT
esrj-21212	115	15	j.	j.	PROPN
esrj-21212	115	16	(	(	PUNCT
esrj-21212	115	17	2000	2000	NUM
esrj-21212	115	18	)	)	PUNCT
esrj-21212	115	19	.	.	PUNCT
esrj-21212	116	1	statistical	statistical	ADJ
esrj-21212	116	2	pattern	pattern	NOUN
esrj-21212	116	3	recognition	recognition	NOUN
esrj-21212	116	4	:	:	PUNCT
esrj-21212	116	5	a	a	DET
esrj-21212	116	6	review	review	NOUN
esrj-21212	116	7	,	,	PUNCT
esrj-21212	116	8	ieee	ieee	PROPN
esrj-21212	116	9	trans	tran	NOUN
esrj-21212	116	10	.	.	PUNCT
esrj-21212	117	1	pattern	pattern	PROPN
esrj-21212	117	2	anal	anal	PROPN
esrj-21212	117	3	.	.	PUNCT
esrj-21212	118	1	machine	machine	NOUN
esrj-21212	118	2	intell	intell	PROPN
esrj-21212	118	3	.	.	PUNCT
esrj-21212	119	1	22	22	NUM
esrj-21212	119	2	(	(	PUNCT
esrj-21212	119	3	1	1	NUM
esrj-21212	119	4	)	)	PUNCT
esrj-21212	119	5	.	.	PUNCT
esrj-21212	120	1	437	437	NUM
esrj-21212	120	2	.	.	PUNCT
esrj-21212	121	1	langer	langer	PROPN
esrj-21212	121	2	,	,	PUNCT
esrj-21212	121	3	h.	h.	PROPN
esrj-21212	121	4	,	,	PUNCT
esrj-21212	121	5	falsaperla	falsaperla	PROPN
esrj-21212	121	6	,	,	PUNCT
esrj-21212	121	7	s.	s.	PROPN
esrj-21212	121	8	,	,	PUNCT
esrj-21212	121	9	powell	powell	PROPN
esrj-21212	121	10	,	,	PUNCT
esrj-21212	121	11	t.	t.	PROPN
esrj-21212	121	12	,	,	PUNCT
esrj-21212	121	13	and	and	CCONJ
esrj-21212	121	14	thompson	thompson	PROPN
esrj-21212	121	15	,	,	PUNCT
esrj-21212	121	16	g.	g.	PROPN
esrj-21212	121	17	(	(	PUNCT
esrj-21212	121	18	2006	2006	NUM
esrj-21212	121	19	)	)	PUNCT
esrj-21212	121	20	.	.	PUNCT
esrj-21212	122	1	automatic	automatic	ADJ
esrj-21212	122	2	classification	classification	NOUN
esrj-21212	122	3	and	and	CCONJ
esrj-21212	122	4	a	a	DET
esrj-21212	122	5	-	-	PUNCT
esrj-21212	122	6	posteriori	posteriori	NOUN
esrj-21212	122	7	analysis	analysis	NOUN
esrj-21212	122	8	of	of	ADP
esrj-21212	122	9	seismic	seismic	ADJ
esrj-21212	122	10	event	event	NOUN
esrj-21212	122	11	identification	identification	NOUN
esrj-21212	122	12	at	at	ADP
esrj-21212	122	13	soufrière	soufrière	NOUN
esrj-21212	122	14	hills	hill	NOUN
esrj-21212	122	15	volcano	volcano	NOUN
esrj-21212	122	16	,	,	PUNCT
esrj-21212	122	17	montserrat	montserrat	PROPN
esrj-21212	122	18	,	,	PUNCT
esrj-21212	122	19	journal	journal	NOUN
esrj-21212	122	20	of	of	ADP
esrj-21212	122	21	volcanology	volcanology	NOUN
esrj-21212	122	22	and	and	CCONJ
esrj-21212	122	23	geothermal	geothermal	ADJ
esrj-21212	122	24	research	research	NOUN
esrj-21212	122	25	.	.	PUNCT
esrj-21212	123	1	153	153	NUM
esrj-21212	123	2	.	.	NOUN
esrj-21212	123	3	1	1	NUM
esrj-21212	123	4	-	-	SYM
esrj-21212	123	5	10	10	NUM
esrj-21212	123	6	.	.	PUNCT
esrj-21212	124	1	paclík	paclík	PROPN
esrj-21212	124	2	,	,	PUNCT
esrj-21212	124	3	p.	p.	NOUN
esrj-21212	124	4	and	and	CCONJ
esrj-21212	124	5	duin	duin	PROPN
esrj-21212	124	6	,	,	PUNCT
esrj-21212	124	7	r.	r.	PROPN
esrj-21212	124	8	p.	p.	PROPN
esrj-21212	124	9	w.	w.	PROPN
esrj-21212	124	10	(	(	PUNCT
esrj-21212	124	11	2003	2003	NUM
esrj-21212	124	12	)	)	PUNCT
esrj-21212	124	13	.	.	PUNCT
esrj-21212	125	1	dissimilaritybased	dissimilaritybase	VERB
esrj-21212	125	2	classification	classification	NOUN
esrj-21212	125	3	of	of	ADP
esrj-21212	125	4	spectra	spectra	ADJ
esrj-21212	125	5	:	:	PUNCT
esrj-21212	125	6	computational	computational	ADJ
esrj-21212	125	7	issues	issue	NOUN
esrj-21212	125	8	,	,	PUNCT
esrj-21212	125	9	real	real	ADJ
esrj-21212	125	10	time	time	NOUN
esrj-21212	125	11	imaging	imaging	NOUN
esrj-21212	125	12	.	.	PUNCT
esrj-21212	126	1	9	9	NUM
esrj-21212	126	2	.	.	X
esrj-21212	126	3	237	237	NUM
esrj-21212	126	4	-	-	SYM
esrj-21212	126	5	244	244	NUM
esrj-21212	126	6	.	.	PUNCT
esrj-21212	127	1	pękalska	pękalska	PROPN
esrj-21212	127	2	,	,	PUNCT
esrj-21212	127	3	e.	e.	PROPN
esrj-21212	127	4	,	,	PUNCT
esrj-21212	127	5	paclík	paclík	PROPN
esrj-21212	127	6	,	,	PUNCT
esrj-21212	127	7	p.	p.	NOUN
esrj-21212	127	8	,	,	PUNCT
esrj-21212	127	9	and	and	CCONJ
esrj-21212	127	10	duin	duin	PROPN
esrj-21212	127	11	,	,	PUNCT
esrj-21212	127	12	r.	r.	PROPN
esrj-21212	127	13	p.	p.	PROPN
esrj-21212	127	14	w.	w.	PROPN
esrj-21212	127	15	(	(	PUNCT
esrj-21212	127	16	2001	2001	NUM
esrj-21212	127	17	)	)	PUNCT
esrj-21212	127	18	.	.	PUNCT
esrj-21212	128	1	a	a	DET
esrj-21212	128	2	generalized	generalized	ADJ
esrj-21212	128	3	kernel	kernel	NOUN
esrj-21212	128	4	approach	approach	NOUN
esrj-21212	128	5	to	to	ADP
esrj-21212	128	6	dissimilarity	dissimilarity	NOUN
esrj-21212	128	7	based	base	VERB
esrj-21212	128	8	classification	classification	NOUN
esrj-21212	128	9	,	,	PUNCT
esrj-21212	128	10	j.	j.	PROPN
esrj-21212	128	11	mach	mach	PROPN
esrj-21212	128	12	.	.	PUNCT
esrj-21212	129	1	learn	learn	VERB
esrj-21212	129	2	.	.	PUNCT
esrj-21212	130	1	res	re	NOUN
esrj-21212	130	2	.	.	PROPN
esrj-21212	131	1	5	5	NUM
esrj-21212	131	2	.	.	NUM
esrj-21212	131	3	175211	175211	NUM
esrj-21212	131	4	.	.	PUNCT
esrj-21212	132	1	pękalska	pękalska	NOUN
esrj-21212	132	2	,	,	PUNCT
esrj-21212	132	3	e.	e.	PROPN
esrj-21212	132	4	and	and	CCONJ
esrj-21212	132	5	duin	duin	PROPN
esrj-21212	132	6	,	,	PUNCT
esrj-21212	132	7	r.p.w	r.p.w	PROPN
esrj-21212	132	8	.	.	PUNCT
esrj-21212	133	1	(	(	PUNCT
esrj-21212	133	2	2002	2002	NUM
esrj-21212	133	3	)	)	PUNCT
esrj-21212	133	4	.	.	PUNCT
esrj-21212	134	1	dissimilarity	dissimilarity	NOUN
esrj-21212	134	2	representations	representation	NOUN
esrj-21212	134	3	allow	allow	VERB
esrj-21212	134	4	for	for	ADP
esrj-21212	134	5	building	build	VERB
esrj-21212	134	6	good	good	ADJ
esrj-21212	134	7	classifiers	classifier	NOUN
esrj-21212	134	8	,	,	PUNCT
esrj-21212	134	9	pattern	pattern	NOUN
esrj-21212	134	10	recognition	recognition	NOUN
esrj-21212	134	11	lett	lett	PROPN
esrj-21212	134	12	.	.	PUNCT
esrj-21212	135	1	23	23	NUM
esrj-21212	135	2	.	.	X
esrj-21212	136	1	943	943	NUM
esrj-21212	136	2	-	-	SYM
esrj-21212	136	3	956	956	NUM
esrj-21212	136	4	.	.	PUNCT
esrj-21212	137	1	pękalska	pękalska	PROPN
esrj-21212	137	2	,	,	PUNCT
esrj-21212	137	3	e.	e.	PROPN
esrj-21212	137	4	and	and	CCONJ
esrj-21212	137	5	duin	duin	PROPN
esrj-21212	137	6	,	,	PUNCT
esrj-21212	137	7	r.	r.	PROPN
esrj-21212	137	8	p.	p.	PROPN
esrj-21212	137	9	w.	w.	PROPN
esrj-21212	137	10	(	(	PUNCT
esrj-21212	137	11	2005	2005	NUM
esrj-21212	137	12	)	)	PUNCT
esrj-21212	137	13	.	.	PUNCT
esrj-21212	138	1	the	the	DET
esrj-21212	138	2	dissimilarity	dissimilarity	NOUN
esrj-21212	138	3	representation	representation	NOUN
esrj-21212	138	4	for	for	ADP
esrj-21212	138	5	pattern	pattern	NOUN
esrj-21212	138	6	recognition	recognition	NOUN
esrj-21212	138	7	:	:	PUNCT
esrj-21212	138	8	foundations	foundation	NOUN
esrj-21212	138	9	and	and	CCONJ
esrj-21212	138	10	applications	application	NOUN
esrj-21212	138	11	.	.	PUNCT
esrj-21212	139	1	world	world	PROPN
esrj-21212	139	2	scientific	scientific	PROPN
esrj-21212	139	3	,	,	PUNCT
esrj-21212	139	4	singapore	singapore	PROPN
esrj-21212	139	5	.	.	PUNCT
esrj-21212	140	1	pękalska	pękalska	PROPN
esrj-21212	140	2	,	,	PUNCT
esrj-21212	140	3	e.	e.	PROPN
esrj-21212	140	4	,	,	PUNCT
esrj-21212	140	5	duin	duin	PROPN
esrj-21212	140	6	,	,	PUNCT
esrj-21212	140	7	r.	r.	PROPN
esrj-21212	140	8	p.	p.	PROPN
esrj-21212	140	9	w.	w.	PROPN
esrj-21212	140	10	,	,	PUNCT
esrj-21212	140	11	and	and	CCONJ
esrj-21212	140	12	paclík	paclík	PROPN
esrj-21212	140	13	,	,	PUNCT
esrj-21212	140	14	p.	p.	NOUN
esrj-21212	140	15	(	(	PUNCT
esrj-21212	140	16	2006	2006	NUM
esrj-21212	140	17	)	)	PUNCT
esrj-21212	140	18	.	.	PUNCT
esrj-21212	141	1	prototype	prototype	NOUN
esrj-21212	141	2	selection	selection	NOUN
esrj-21212	141	3	for	for	ADP
esrj-21212	141	4	dissimilaritybased	dissimilaritybased	ADJ
esrj-21212	141	5	classifiers	classifier	NOUN
esrj-21212	141	6	.	.	PUNCT
esrj-21212	142	1	pattern	pattern	NOUN
esrj-21212	142	2	recognition	recognition	NOUN
esrj-21212	142	3	.	.	PUNCT
esrj-21212	143	1	39	39	NUM
esrj-21212	143	2	.	.	PUNCT
esrj-21212	143	3	189208	189208	NUM
esrj-21212	143	4	.	.	PUNCT
esrj-21212	144	1	scarpetta	scarpetta	PROPN
esrj-21212	144	2	,	,	PUNCT
esrj-21212	144	3	s.	s.	PROPN
esrj-21212	144	4	,	,	PUNCT
esrj-21212	144	5	giudicepietro	giudicepietro	PROPN
esrj-21212	144	6	,	,	PUNCT
esrj-21212	144	7	f.	f.	PROPN
esrj-21212	144	8	,	,	PUNCT
esrj-21212	144	9	ezin	ezin	PROPN
esrj-21212	144	10	,	,	PUNCT
esrj-21212	144	11	e.	e.	PROPN
esrj-21212	144	12	c.	c.	PROPN
esrj-21212	144	13	,	,	PUNCT
esrj-21212	144	14	petrosino	petrosino	PROPN
esrj-21212	144	15	,	,	PUNCT
esrj-21212	144	16	s.	s.	PROPN
esrj-21212	144	17	,	,	PUNCT
esrj-21212	144	18	del	del	PROPN
esrj-21212	144	19	pezzo	pezzo	PROPN
esrj-21212	144	20	,	,	PUNCT
esrj-21212	144	21	e.	e.	PROPN
esrj-21212	144	22	,	,	PUNCT
esrj-21212	144	23	martini	martini	NOUN
esrj-21212	144	24	,	,	PUNCT
esrj-21212	144	25	m.	m.	NOUN
esrj-21212	144	26	,	,	PUNCT
esrj-21212	144	27	and	and	CCONJ
esrj-21212	144	28	marinaro	marinaro	NOUN
esrj-21212	144	29	,	,	PUNCT
esrj-21212	144	30	m.	m.	NOUN
esrj-21212	144	31	(	(	PUNCT
esrj-21212	144	32	2005	2005	NUM
esrj-21212	144	33	)	)	PUNCT
esrj-21212	144	34	.	.	PUNCT
esrj-21212	145	1	automatic	automatic	ADJ
esrj-21212	145	2	classification	classification	NOUN
esrj-21212	145	3	of	of	ADP
esrj-21212	145	4	seismic	seismic	ADJ
esrj-21212	145	5	signals	signal	NOUN
esrj-21212	145	6	at	at	ADP
esrj-21212	145	7	mt	mt	PROPN
esrj-21212	145	8	.	.	PROPN
esrj-21212	145	9	vesuvius	vesuvius	PROPN
esrj-21212	145	10	volcano	volcano	PROPN
esrj-21212	145	11	,	,	PUNCT
esrj-21212	145	12	italy	italy	PROPN
esrj-21212	145	13	,	,	PUNCT
esrj-21212	145	14	using	use	VERB
esrj-21212	145	15	neural	neural	ADJ
esrj-21212	145	16	networks	network	NOUN
esrj-21212	145	17	.	.	PUNCT
esrj-21212	146	1	bulletin	bulletin	NOUN
esrj-21212	146	2	of	of	ADP
esrj-21212	146	3	the	the	DET
esrj-21212	146	4	seismological	seismological	ADJ
esrj-21212	146	5	society	society	NOUN
esrj-21212	146	6	of	of	ADP
esrj-21212	146	7	america	america	PROPN
esrj-21212	146	8	.	.	PUNCT
esrj-21212	147	1	95	95	NUM
esrj-21212	147	2	(	(	PUNCT
esrj-21212	147	3	1	1	NUM
esrj-21212	147	4	)	)	PUNCT
esrj-21212	147	5	.	.	PUNCT
esrj-21212	148	1	185196	185196	NUM
esrj-21212	148	2	.	.	PUNCT
esrj-21212	149	1	zobin	zobin	PROPN
esrj-21212	149	2	,	,	PUNCT
esrj-21212	149	3	v.	v.	PROPN
esrj-21212	149	4	(	(	PUNCT
esrj-21212	149	5	2003	2003	NUM
esrj-21212	149	6	)	)	PUNCT
esrj-21212	149	7	.	.	PUNCT
esrj-21212	150	1	introduction	introduction	NOUN
esrj-21212	150	2	to	to	ADP
esrj-21212	150	3	volcanic	volcanic	ADJ
esrj-21212	150	4	seismology	seismology	NOUN
esrj-21212	150	5	.	.	PUNCT
esrj-21212	151	1	elsevier	elsevier	NOUN
esrj-21212	151	2	,	,	PUNCT
esrj-21212	151	3	the	the	DET
esrj-21212	151	4	netherlands	netherlands	PROPN
esrj-21212	151	5	.	.	PUNCT
esrj-21212	152	1	orozco	orozco	PROPN
esrj-21212	152	2	et	et	PROPN
esrj-21212	152	3	al	al	PROPN
esrj-21212	152	4	.	.	PROPN
esrj-21212	152	5	,	,	PUNCT
esrj-21212	152	6	esrj	esrj	NOUN
esrj-21212	152	7	vol	vol	NOUN
esrj-21212	152	8	.	.	PROPN
esrj-21212	153	1	10	10	NUM
esrj-21212	153	2	,	,	PUNCT
esrj-21212	153	3	no	no	INTJ
esrj-21212	153	4	.	.	NOUN
esrj-21212	153	5	2	2	NUM
esrj-21212	153	6	.	.	X
esrj-21212	153	7	december	december	PROPN
esrj-21212	153	8	2006	2006	NUM
esrj-21212	153	9	65	65	NUM