id	sid	tid	token	lemma	pos
bracis-28370	1	1	hybrid	hybrid	ADJ
bracis-28370	1	2	multilevel	multilevel	NOUN
bracis-28370	1	3	explanation	explanation	NOUN
bracis-28370	1	4	:	:	PUNCT
bracis-28370	1	5	a	a	DET
bracis-28370	1	6	new	new	ADJ
bracis-28370	1	7	approach	approach	NOUN
bracis-28370	1	8	for	for	ADP
bracis-28370	1	9	 	 	SPACE
bracis-28370	1	10	explaining	explain	VERB
bracis-28370	1	11	regression	regression	NOUN
bracis-28370	1	12	models	model	NOUN
bracis-28370	1	13	|	|	ADV
bracis-28370	1	14	springer	springer	NOUN
bracis-28370	1	15	nature	nature	NOUN
bracis-28370	1	16	link	link	PROPN
bracis-28370	1	17	(	(	PUNCT
bracis-28370	1	18	formerly	formerly	ADV
bracis-28370	1	19	springerlink	springerlink	NOUN
bracis-28370	1	20	)	)	PUNCT
bracis-28370	1	21	skip	skip	VERB
bracis-28370	1	22	to	to	ADP
bracis-28370	1	23	main	main	ADJ
bracis-28370	1	24	content	content	NOUN
bracis-28370	1	25	advertisement	advertisement	NOUN
bracis-28370	1	26	log	log	NOUN
bracis-28370	1	27	in	in	ADP
bracis-28370	1	28	menu	menu	NOUN
bracis-28370	1	29	find	find	VERB
bracis-28370	1	30	a	a	DET
bracis-28370	1	31	journal	journal	NOUN
bracis-28370	1	32	publish	publish	VERB
bracis-28370	1	33	with	with	ADP
bracis-28370	1	34	us	we	PRON
bracis-28370	1	35	track	track	VERB
bracis-28370	1	36	your	your	PRON
bracis-28370	1	37	research	research	NOUN
bracis-28370	1	38	search	search	NOUN
bracis-28370	1	39	cart	cart	NOUN
bracis-28370	1	40	home	home	NOUN
bracis-28370	1	41	intelligent	intelligent	ADJ
bracis-28370	1	42	systems	system	NOUN
bracis-28370	1	43	conference	conference	NOUN
bracis-28370	1	44	paper	paper	NOUN
bracis-28370	1	45	hybrid	hybrid	NOUN
bracis-28370	1	46	multilevel	multilevel	NOUN
bracis-28370	1	47	explanation	explanation	NOUN
bracis-28370	1	48	:	:	PUNCT
bracis-28370	1	49	a	a	DET
bracis-28370	1	50	new	new	ADJ
bracis-28370	1	51	approach	approach	NOUN
bracis-28370	1	52	for	for	ADP
bracis-28370	1	53	 	 	SPACE
bracis-28370	1	54	explaining	explain	VERB
bracis-28370	1	55	regression	regression	NOUN
bracis-28370	1	56	models	model	NOUN
bracis-28370	1	57	conference	conference	NOUN
bracis-28370	1	58	paper	paper	NOUN
bracis-28370	1	59	first	first	ADV
bracis-28370	1	60	online	online	ADV
bracis-28370	1	61	:	:	PUNCT
bracis-28370	1	62	12	12	NUM
bracis-28370	1	63	october	october	NOUN
bracis-28370	1	64	2023	2023	NUM
bracis-28370	1	65	pp	pp	PROPN
bracis-28370	1	66	399–414	399–414	NUM
bracis-28370	1	67	cite	cite	VERB
bracis-28370	1	68	this	this	DET
bracis-28370	1	69	conference	conference	NOUN
bracis-28370	1	70	paper	paper	NOUN
bracis-28370	1	71	access	access	NOUN
bracis-28370	1	72	provided	provide	VERB
bracis-28370	1	73	by	by	ADP
bracis-28370	1	74	university	university	PROPN
bracis-28370	1	75	of	of	ADP
bracis-28370	1	76	notre	notre	PROPN
bracis-28370	1	77	dame	dame	PROPN
bracis-28370	1	78	hesburgh	hesburgh	PROPN
bracis-28370	1	79	library	library	PROPN
bracis-28370	1	80	download	download	PROPN
bracis-28370	1	81	book	book	NOUN
bracis-28370	1	82	pdf	pdf	PROPN
bracis-28370	1	83	download	download	NOUN
bracis-28370	1	84	book	book	NOUN
bracis-28370	1	85	epub	epub	PROPN
bracis-28370	1	86	intelligent	intelligent	ADJ
bracis-28370	1	87	systems	system	NOUN
bracis-28370	1	88	(	(	PUNCT
bracis-28370	1	89	bracis	bracis	NOUN
bracis-28370	1	90	2023	2023	NUM
bracis-28370	1	91	)	)	PUNCT
bracis-28370	1	92	hybrid	hybrid	ADJ
bracis-28370	1	93	multilevel	multilevel	NOUN
bracis-28370	1	94	explanation	explanation	NOUN
bracis-28370	1	95	:	:	PUNCT
bracis-28370	1	96	a	a	DET
bracis-28370	1	97	new	new	ADJ
bracis-28370	1	98	approach	approach	NOUN
bracis-28370	1	99	for	for	ADP
bracis-28370	1	100	 	 	SPACE
bracis-28370	1	101	explaining	explain	VERB
bracis-28370	1	102	regression	regression	NOUN
bracis-28370	1	103	models	model	NOUN
bracis-28370	1	104	download	download	VERB
bracis-28370	1	105	book	book	NOUN
bracis-28370	1	106	pdf	pdf	PROPN
bracis-28370	1	107	download	download	NOUN
bracis-28370	1	108	book	book	PROPN
bracis-28370	1	109	epub	epub	PROPN
bracis-28370	1	110	renato	renato	PROPN
bracis-28370	1	111	miranda	miranda	PROPN
bracis-28370	1	112	filho	filho	PROPN
bracis-28370	1	113	  	  	SPACE
bracis-28370	1	114	orcid	orcid	NOUN
bracis-28370	1	115	:	:	PUNCT
bracis-28370	1	116	orcid.org/0000-0003-3455-58919,10	orcid.org/0000-0003-3455-58919,10	PROPN
bracis-28370	1	117	&	&	CCONJ
bracis-28370	1	118	gisele	gisele	PROPN
bracis-28370	1	119	l.	l.	PROPN
bracis-28370	1	120	pappa	pappa	PROPN
bracis-28370	1	121	  	  	SPACE
bracis-28370	1	122	orcid	orcid	NOUN
bracis-28370	1	123	:	:	PUNCT
bracis-28370	1	124	orcid.org/0000-0002-0349-44949	orcid.org/0000-0002-0349-44949	NOUN
bracis-28370	1	125	  	  	SPACE
bracis-28370	1	126	part	part	NOUN
bracis-28370	1	127	of	of	ADP
bracis-28370	1	128	the	the	DET
bracis-28370	1	129	book	book	NOUN
bracis-28370	1	130	series	series	NOUN
bracis-28370	1	131	:	:	PUNCT
bracis-28370	1	132	lecture	lecture	NOUN
bracis-28370	1	133	notes	note	NOUN
bracis-28370	1	134	in	in	ADP
bracis-28370	1	135	computer	computer	NOUN
bracis-28370	1	136	science	science	NOUN
bracis-28370	1	137	(	(	PUNCT
bracis-28370	1	138	(	(	PUNCT
bracis-28370	1	139	lnai	lnai	ADJ
bracis-28370	1	140	,	,	PUNCT
bracis-28370	1	141	volume	volume	NOUN
bracis-28370	1	142	14195	14195	NUM
bracis-28370	1	143	)	)	PUNCT
bracis-28370	1	144	)	)	PUNCT
bracis-28370	1	145	included	include	VERB
bracis-28370	1	146	in	in	ADP
bracis-28370	1	147	the	the	DET
bracis-28370	1	148	following	follow	VERB
bracis-28370	1	149	conference	conference	NOUN
bracis-28370	1	150	series	series	NOUN
bracis-28370	1	151	:	:	PUNCT
bracis-28370	1	152	brazilian	brazilian	ADJ
bracis-28370	1	153	conference	conference	NOUN
bracis-28370	1	154	on	on	ADP
bracis-28370	1	155	intelligent	intelligent	ADJ
bracis-28370	1	156	systems	system	NOUN
bracis-28370	1	157	536	536	NUM
bracis-28370	1	158	accesses	access	NOUN
bracis-28370	1	159	abstract	abstract	ADJ
bracis-28370	1	160	regression	regression	NOUN
bracis-28370	1	161	models	model	NOUN
bracis-28370	1	162	are	be	AUX
bracis-28370	1	163	commonly	commonly	ADV
bracis-28370	1	164	used	use	VERB
bracis-28370	1	165	to	to	PART
bracis-28370	1	166	model	model	VERB
bracis-28370	1	167	the	the	DET
bracis-28370	1	168	associations	association	NOUN
bracis-28370	1	169	between	between	ADP
bracis-28370	1	170	a	a	DET
bracis-28370	1	171	set	set	NOUN
bracis-28370	1	172	of	of	ADP
bracis-28370	1	173	features	feature	NOUN
bracis-28370	1	174	and	and	CCONJ
bracis-28370	1	175	an	an	DET
bracis-28370	1	176	observed	observed	ADJ
bracis-28370	1	177	outcome	outcome	NOUN
bracis-28370	1	178	,	,	PUNCT
bracis-28370	1	179	for	for	ADP
bracis-28370	1	180	purposes	purpose	NOUN
bracis-28370	1	181	such	such	ADJ
bracis-28370	1	182	as	as	ADP
bracis-28370	1	183	prediction	prediction	NOUN
bracis-28370	1	184	,	,	PUNCT
bracis-28370	1	185	finding	find	VERB
bracis-28370	1	186	associations	association	NOUN
bracis-28370	1	187	,	,	PUNCT
bracis-28370	1	188	and	and	CCONJ
bracis-28370	1	189	determining	determine	VERB
bracis-28370	1	190	causal	causal	ADJ
bracis-28370	1	191	relationships	relationship	NOUN
bracis-28370	1	192	.	.	PUNCT
bracis-28370	2	1	however	however	ADV
bracis-28370	2	2	,	,	PUNCT
bracis-28370	2	3	interpreting	interpret	VERB
bracis-28370	2	4	the	the	DET
bracis-28370	2	5	outputs	output	NOUN
bracis-28370	2	6	of	of	ADP
bracis-28370	2	7	these	these	DET
bracis-28370	2	8	models	model	NOUN
bracis-28370	2	9	can	can	AUX
bracis-28370	2	10	be	be	AUX
bracis-28370	2	11	challenging	challenge	VERB
bracis-28370	2	12	,	,	PUNCT
bracis-28370	2	13	especially	especially	ADV
bracis-28370	2	14	in	in	ADP
bracis-28370	2	15	complex	complex	ADJ
bracis-28370	2	16	models	model	NOUN
bracis-28370	2	17	with	with	ADP
bracis-28370	2	18	many	many	ADJ
bracis-28370	2	19	features	feature	NOUN
bracis-28370	2	20	and	and	CCONJ
bracis-28370	2	21	nonlinear	nonlinear	ADJ
bracis-28370	2	22	interactions	interaction	NOUN
bracis-28370	2	23	.	.	PUNCT
bracis-28370	3	1	current	current	ADJ
bracis-28370	3	2	methods	method	NOUN
bracis-28370	3	3	for	for	ADP
bracis-28370	3	4	explaining	explain	VERB
bracis-28370	3	5	regression	regression	NOUN
bracis-28370	3	6	models	model	NOUN
bracis-28370	3	7	include	include	VERB
bracis-28370	3	8	simplification	simplification	NOUN
bracis-28370	3	9	,	,	PUNCT
bracis-28370	3	10	visual	visual	ADJ
bracis-28370	3	11	,	,	PUNCT
bracis-28370	3	12	counterfactual	counterfactual	ADJ
bracis-28370	3	13	,	,	PUNCT
bracis-28370	3	14	example	example	NOUN
bracis-28370	3	15	-	-	PUNCT
bracis-28370	3	16	based	base	VERB
bracis-28370	3	17	,	,	PUNCT
bracis-28370	3	18	and	and	CCONJ
bracis-28370	3	19	attribute	attribute	NOUN
bracis-28370	3	20	-	-	PUNCT
bracis-28370	3	21	based	base	VERB
bracis-28370	3	22	approaches	approach	NOUN
bracis-28370	3	23	.	.	PUNCT
bracis-28370	4	1	furthermore	furthermore	ADV
bracis-28370	4	2	,	,	PUNCT
bracis-28370	4	3	these	these	DET
bracis-28370	4	4	methods	method	NOUN
bracis-28370	4	5	often	often	ADV
bracis-28370	4	6	provide	provide	VERB
bracis-28370	4	7	only	only	ADV
bracis-28370	4	8	a	a	DET
bracis-28370	4	9	global	global	ADJ
bracis-28370	4	10	or	or	CCONJ
bracis-28370	4	11	local	local	ADJ
bracis-28370	4	12	explanation	explanation	NOUN
bracis-28370	4	13	.	.	PUNCT
bracis-28370	5	1	in	in	ADP
bracis-28370	5	2	this	this	DET
bracis-28370	5	3	paper	paper	NOUN
bracis-28370	5	4	,	,	PUNCT
bracis-28370	5	5	we	we	PRON
bracis-28370	5	6	propose	propose	VERB
bracis-28370	5	7	a	a	DET
bracis-28370	5	8	hybrid	hybrid	ADJ
bracis-28370	5	9	multilevel	multilevel	NOUN
bracis-28370	5	10	explanation	explanation	NOUN
bracis-28370	5	11	(	(	PUNCT
bracis-28370	5	12	hybrid	hybrid	ADJ
bracis-28370	5	13	multilevel	multilevel	NOUN
bracis-28370	5	14	explanation	explanation	NOUN
bracis-28370	5	15	humie	humie	NOUN
bracis-28370	5	16	)	)	PUNCT
bracis-28370	5	17	method	method	NOUN
bracis-28370	5	18	that	that	PRON
bracis-28370	5	19	enhances	enhance	VERB
bracis-28370	5	20	example	example	NOUN
bracis-28370	5	21	-	-	PUNCT
bracis-28370	5	22	based	base	VERB
bracis-28370	5	23	explanations	explanation	NOUN
bracis-28370	5	24	for	for	ADP
bracis-28370	5	25	regression	regression	NOUN
bracis-28370	5	26	models	model	NOUN
bracis-28370	5	27	.	.	PUNCT
bracis-28370	6	1	in	in	ADP
bracis-28370	6	2	addition	addition	NOUN
bracis-28370	6	3	to	to	ADP
bracis-28370	6	4	a	a	DET
bracis-28370	6	5	set	set	NOUN
bracis-28370	6	6	of	of	ADP
bracis-28370	6	7	instances	instance	NOUN
bracis-28370	6	8	capable	capable	ADJ
bracis-28370	6	9	of	of	ADP
bracis-28370	6	10	representing	represent	VERB
bracis-28370	6	11	the	the	DET
bracis-28370	6	12	learned	learn	VERB
bracis-28370	6	13	model	model	NOUN
bracis-28370	6	14	,	,	PUNCT
bracis-28370	6	15	the	the	DET
bracis-28370	6	16	humie	humie	NOUN
bracis-28370	6	17	method	method	NOUN
bracis-28370	6	18	provides	provide	VERB
bracis-28370	6	19	a	a	DET
bracis-28370	6	20	complete	complete	ADJ
bracis-28370	6	21	understanding	understanding	NOUN
bracis-28370	6	22	of	of	ADP
bracis-28370	6	23	why	why	SCONJ
bracis-28370	6	24	an	an	DET
bracis-28370	6	25	output	output	NOUN
bracis-28370	6	26	is	be	AUX
bracis-28370	6	27	obtained	obtain	VERB
bracis-28370	6	28	by	by	ADP
bracis-28370	6	29	explaining	explain	VERB
bracis-28370	6	30	the	the	DET
bracis-28370	6	31	reasons	reason	NOUN
bracis-28370	6	32	in	in	ADP
bracis-28370	6	33	terms	term	NOUN
bracis-28370	6	34	of	of	ADP
bracis-28370	6	35	attribute	attribute	NOUN
bracis-28370	6	36	importance	importance	NOUN
bracis-28370	6	37	and	and	CCONJ
bracis-28370	6	38	expected	expect	VERB
bracis-28370	6	39	values	value	NOUN
bracis-28370	6	40	in	in	ADP
bracis-28370	6	41	similar	similar	ADJ
bracis-28370	6	42	instances	instance	NOUN
bracis-28370	6	43	.	.	PUNCT
bracis-28370	7	1	this	this	DET
bracis-28370	7	2	approach	approach	NOUN
bracis-28370	7	3	also	also	ADV
bracis-28370	7	4	provides	provide	VERB
bracis-28370	7	5	intermediate	intermediate	ADJ
bracis-28370	7	6	explanations	explanation	NOUN
bracis-28370	7	7	between	between	ADP
bracis-28370	7	8	global	global	ADJ
bracis-28370	7	9	and	and	CCONJ
bracis-28370	7	10	local	local	ADJ
bracis-28370	7	11	explanations	explanation	NOUN
bracis-28370	7	12	by	by	ADP
bracis-28370	7	13	grouping	group	VERB
bracis-28370	7	14	semantically	semantically	ADV
bracis-28370	7	15	similar	similar	ADJ
bracis-28370	7	16	instances	instance	NOUN
bracis-28370	7	17	during	during	ADP
bracis-28370	7	18	the	the	DET
bracis-28370	7	19	explanation	explanation	NOUN
bracis-28370	7	20	process	process	NOUN
bracis-28370	7	21	.	.	PUNCT
bracis-28370	8	1	the	the	DET
bracis-28370	8	2	proposed	propose	VERB
bracis-28370	8	3	method	method	NOUN
bracis-28370	8	4	offers	offer	VERB
bracis-28370	8	5	a	a	DET
bracis-28370	8	6	new	new	ADJ
bracis-28370	8	7	possibility	possibility	NOUN
bracis-28370	8	8	of	of	ADP
bracis-28370	8	9	understanding	understand	VERB
bracis-28370	8	10	complex	complex	ADJ
bracis-28370	8	11	models	model	NOUN
bracis-28370	8	12	and	and	CCONJ
bracis-28370	8	13	proved	prove	VERB
bracis-28370	8	14	to	to	PART
bracis-28370	8	15	be	be	AUX
bracis-28370	8	16	able	able	ADJ
bracis-28370	8	17	to	to	PART
bracis-28370	8	18	find	find	VERB
bracis-28370	8	19	examples	example	NOUN
bracis-28370	8	20	statistically	statistically	ADV
bracis-28370	8	21	equal	equal	ADJ
bracis-28370	8	22	to	to	ADP
bracis-28370	8	23	or	or	CCONJ
bracis-28370	8	24	better	well	ADJ
bracis-28370	8	25	than	than	ADP
bracis-28370	8	26	the	the	DET
bracis-28370	8	27	main	main	ADJ
bracis-28370	8	28	competing	compete	VERB
bracis-28370	8	29	methods	method	NOUN
bracis-28370	8	30	and	and	CCONJ
bracis-28370	8	31	to	to	PART
bracis-28370	8	32	provide	provide	VERB
bracis-28370	8	33	a	a	DET
bracis-28370	8	34	coherent	coherent	ADJ
bracis-28370	8	35	explanation	explanation	NOUN
bracis-28370	8	36	with	with	ADP
bracis-28370	8	37	the	the	DET
bracis-28370	8	38	context	context	NOUN
bracis-28370	8	39	of	of	ADP
bracis-28370	8	40	the	the	DET
bracis-28370	8	41	explained	explain	VERB
bracis-28370	8	42	model	model	NOUN
bracis-28370	8	43	.	.	PUNCT
bracis-28370	9	1	this	this	DET
bracis-28370	9	2	work	work	NOUN
bracis-28370	9	3	was	be	AUX
bracis-28370	9	4	supported	support	VERB
bracis-28370	9	5	by	by	ADP
bracis-28370	9	6	fapemig	fapemig	PROPN
bracis-28370	9	7	(	(	PUNCT
bracis-28370	9	8	through	through	ADP
bracis-28370	9	9	the	the	DET
bracis-28370	9	10	grant	grant	NOUN
bracis-28370	9	11	no	no	PROPN
bracis-28370	9	12	.	.	PUNCT
bracis-28370	10	1	cex	cex	NOUN
bracis-28370	10	2	-	-	NOUN
bracis-28370	10	3	ppm-00098	ppm-00098	NOUN
bracis-28370	10	4	-	-	PUNCT
bracis-28370	10	5	17	17	NUM
bracis-28370	10	6	)	)	PUNCT
bracis-28370	10	7	,	,	PUNCT
bracis-28370	10	8	mpmg	mpmg	NOUN
bracis-28370	10	9	(	(	PUNCT
bracis-28370	10	10	through	through	ADP
bracis-28370	10	11	the	the	DET
bracis-28370	10	12	project	project	NOUN
bracis-28370	10	13	analytical	analytical	ADJ
bracis-28370	10	14	capabilities	capability	NOUN
bracis-28370	10	15	)	)	PUNCT
bracis-28370	10	16	,	,	PUNCT
bracis-28370	10	17	cnpq	cnpq	NOUN
bracis-28370	10	18	(	(	PUNCT
bracis-28370	10	19	through	through	ADP
bracis-28370	10	20	the	the	DET
bracis-28370	10	21	grant	grant	NOUN
bracis-28370	10	22	no	no	INTJ
bracis-28370	10	23	.	.	PUNCT
bracis-28370	11	1	310833/2019	310833/2019	NUM
bracis-28370	11	2	-	-	SYM
bracis-28370	11	3	1	1	NUM
bracis-28370	11	4	)	)	PUNCT
bracis-28370	12	1	,	,	PUNCT
bracis-28370	12	2	capes	cape	NOUN
bracis-28370	12	3	,	,	PUNCT
bracis-28370	12	4	mctic	mctic	PROPN
bracis-28370	12	5	/	/	SYM
bracis-28370	12	6	rnp	rnp	PROPN
bracis-28370	12	7	(	(	PUNCT
bracis-28370	12	8	through	through	ADP
bracis-28370	12	9	the	the	DET
bracis-28370	12	10	grant	grant	NOUN
bracis-28370	12	11	no	no	NOUN
bracis-28370	12	12	.	.	NOUN
bracis-28370	12	13	51119	51119	NUM
bracis-28370	12	14	)	)	PUNCT
bracis-28370	12	15	and	and	CCONJ
bracis-28370	12	16	ifmg	ifmg	VERB
bracis-28370	12	17	campus	campus	NOUN
bracis-28370	12	18	sabará	sabará	NOUN
bracis-28370	12	19	.	.	PUNCT
bracis-28370	13	1	access	access	NOUN
bracis-28370	13	2	provided	provide	VERB
bracis-28370	13	3	by	by	ADP
bracis-28370	13	4	university	university	PROPN
bracis-28370	13	5	of	of	ADP
bracis-28370	13	6	notre	notre	PROPN
bracis-28370	13	7	dame	dame	PROPN
bracis-28370	13	8	hesburgh	hesburgh	PROPN
bracis-28370	13	9	library	library	PROPN
bracis-28370	13	10	.	.	PUNCT
bracis-28370	14	1	download	download	PROPN
bracis-28370	14	2	conference	conference	NOUN
bracis-28370	14	3	paper	paper	NOUN
bracis-28370	14	4	pdf	pdf	NOUN
bracis-28370	14	5	similar	similar	ADJ
bracis-28370	14	6	content	content	NOUN
bracis-28370	14	7	being	be	AUX
bracis-28370	14	8	viewed	view	VERB
bracis-28370	14	9	by	by	ADP
bracis-28370	14	10	others	other	NOUN
bracis-28370	14	11	a	a	DET
bracis-28370	14	12	hybrid	hybrid	ADJ
bracis-28370	14	13	regression	regression	NOUN
bracis-28370	14	14	model	model	NOUN
bracis-28370	14	15	for	for	ADP
bracis-28370	14	16	mixed	mixed	ADJ
bracis-28370	14	17	numerical	numerical	ADJ
bracis-28370	14	18	and	and	CCONJ
bracis-28370	14	19	categorical	categorical	ADJ
bracis-28370	14	20	data	datum	NOUN
bracis-28370	14	21	chapter	chapter	NOUN
bracis-28370	14	22	©	©	PROPN
bracis-28370	14	23	2020	2020	NUM
bracis-28370	14	24	a	a	DET
bracis-28370	14	25	relational	relational	ADJ
bracis-28370	14	26	vulnerability	vulnerability	NOUN
bracis-28370	14	27	analytic	analytic	NOUN
bracis-28370	14	28	:	:	PUNCT
bracis-28370	14	29	exploring	explore	VERB
bracis-28370	14	30	hybrid	hybrid	ADJ
bracis-28370	14	31	methodologies	methodology	NOUN
bracis-28370	14	32	for	for	ADP
bracis-28370	14	33	human	human	ADJ
bracis-28370	14	34	dimensions	dimension	NOUN
bracis-28370	14	35	of	of	ADP
bracis-28370	14	36	climate	climate	NOUN
bracis-28370	14	37	change	change	NOUN
bracis-28370	14	38	research	research	NOUN
bracis-28370	14	39	in	in	ADP
bracis-28370	14	40	the	the	DET
bracis-28370	14	41	himalayas	himalayas	PROPN
bracis-28370	14	42	chapter	chapter	NOUN
bracis-28370	14	43	©	©	PROPN
bracis-28370	14	44	2020	2020	NUM
bracis-28370	14	45	a	a	DET
bracis-28370	14	46	multivariate	multivariate	NOUN
bracis-28370	14	47	generalized	generalize	VERB
bracis-28370	14	48	linear	linear	ADJ
bracis-28370	14	49	model	model	NOUN
bracis-28370	14	50	approach	approach	NOUN
bracis-28370	14	51	to	to	ADP
bracis-28370	14	52	mediation	mediation	NOUN
bracis-28370	14	53	analysis	analysis	NOUN
bracis-28370	14	54	and	and	CCONJ
bracis-28370	14	55	application	application	NOUN
bracis-28370	14	56	of	of	ADP
bracis-28370	14	57	confidence	confidence	NOUN
bracis-28370	14	58	ellipses	ellipsis	NOUN
bracis-28370	14	59	article	article	NOUN
bracis-28370	14	60	10	10	NUM
bracis-28370	14	61	may	may	AUX
bracis-28370	14	62	2017	2017	NUM
bracis-28370	14	63	explore	explore	VERB
bracis-28370	14	64	related	related	ADJ
bracis-28370	14	65	subjects	subject	NOUN
bracis-28370	14	66	discover	discover	VERB
bracis-28370	14	67	the	the	DET
bracis-28370	14	68	latest	late	ADJ
bracis-28370	14	69	articles	article	NOUN
bracis-28370	14	70	,	,	PUNCT
bracis-28370	14	71	books	book	NOUN
bracis-28370	14	72	and	and	CCONJ
bracis-28370	14	73	news	news	NOUN
bracis-28370	14	74	in	in	ADP
bracis-28370	14	75	related	related	ADJ
bracis-28370	14	76	subjects	subject	NOUN
bracis-28370	14	77	,	,	PUNCT
bracis-28370	14	78	suggested	suggest	VERB
bracis-28370	14	79	using	use	VERB
bracis-28370	14	80	machine	machine	NOUN
bracis-28370	14	81	learning	learning	NOUN
bracis-28370	14	82	.	.	PUNCT
bracis-28370	15	1	heterodox	heterodox	NOUN
bracis-28370	15	2	economics	economics	PROPN
bracis-28370	15	3	information	information	PROPN
bracis-28370	15	4	model	model	PROPN
bracis-28370	15	5	linear	linear	PROPN
bracis-28370	15	6	models	model	NOUN
bracis-28370	15	7	and	and	CCONJ
bracis-28370	15	8	regression	regression	VERB
bracis-28370	15	9	mixed	mixed	ADJ
bracis-28370	15	10	methods	method	NOUN
bracis-28370	15	11	model	model	NOUN
bracis-28370	15	12	theory	theory	NOUN
bracis-28370	15	13	multivariate	multivariate	NOUN
bracis-28370	15	14	analysis	analysis	NOUN
bracis-28370	15	15	1	1	NUM
bracis-28370	15	16	introduction	introduction	NOUN
bracis-28370	15	17	regression	regression	NOUN
bracis-28370	15	18	models	model	NOUN
bracis-28370	15	19	are	be	AUX
bracis-28370	15	20	widely	widely	ADV
bracis-28370	15	21	used	use	VERB
bracis-28370	15	22	in	in	ADP
bracis-28370	15	23	various	various	ADJ
bracis-28370	15	24	fields	field	NOUN
bracis-28370	15	25	,	,	PUNCT
bracis-28370	15	26	including	include	VERB
bracis-28370	15	27	medicine	medicine	NOUN
bracis-28370	15	28	,	,	PUNCT
bracis-28370	15	29	engineering	engineering	NOUN
bracis-28370	15	30	,	,	PUNCT
bracis-28370	15	31	finance	finance	NOUN
bracis-28370	15	32	,	,	PUNCT
bracis-28370	15	33	marketing	marketing	NOUN
bracis-28370	15	34	,	,	PUNCT
bracis-28370	15	35	among	among	ADP
bracis-28370	15	36	others	other	NOUN
bracis-28370	15	37	.	.	PUNCT
bracis-28370	16	1	they	they	PRON
bracis-28370	16	2	are	be	AUX
bracis-28370	16	3	used	use	VERB
bracis-28370	16	4	to	to	PART
bracis-28370	16	5	generate	generate	VERB
bracis-28370	16	6	associations	association	NOUN
bracis-28370	16	7	between	between	ADP
bracis-28370	16	8	a	a	DET
bracis-28370	16	9	set	set	NOUN
bracis-28370	16	10	of	of	ADP
bracis-28370	16	11	features	feature	NOUN
bracis-28370	16	12	and	and	CCONJ
bracis-28370	16	13	an	an	DET
bracis-28370	16	14	observed	observed	ADJ
bracis-28370	16	15	outcome	outcome	NOUN
bracis-28370	16	16	,	,	PUNCT
bracis-28370	16	17	and	and	CCONJ
bracis-28370	16	18	can	can	AUX
bracis-28370	16	19	be	be	AUX
bracis-28370	16	20	used	use	VERB
bracis-28370	16	21	for	for	ADP
bracis-28370	16	22	:	:	PUNCT
bracis-28370	16	23	(	(	PUNCT
bracis-28370	16	24	i	i	NOUN
bracis-28370	16	25	)	)	PUNCT
bracis-28370	16	26	prediction	prediction	NOUN
bracis-28370	16	27	—	—	PUNCT
bracis-28370	16	28	when	when	SCONJ
bracis-28370	16	29	,	,	PUNCT
bracis-28370	16	30	given	give	VERB
bracis-28370	16	31	a	a	DET
bracis-28370	16	32	prediction	prediction	NOUN
bracis-28370	16	33	value	value	NOUN
bracis-28370	16	34	,	,	PUNCT
bracis-28370	16	35	we	we	PRON
bracis-28370	16	36	want	want	VERB
bracis-28370	16	37	to	to	PART
bracis-28370	16	38	interpolate	interpolate	VERB
bracis-28370	16	39	or	or	CCONJ
bracis-28370	16	40	extrapolate	extrapolate	ADJ
bracis-28370	16	41	from	from	ADP
bracis-28370	16	42	observations	observation	NOUN
bracis-28370	16	43	to	to	PART
bracis-28370	16	44	estimate	estimate	VERB
bracis-28370	16	45	the	the	DET
bracis-28370	16	46	outcome	outcome	NOUN
bracis-28370	16	47	,	,	PUNCT
bracis-28370	16	48	or	or	CCONJ
bracis-28370	16	49	(	(	PUNCT
bracis-28370	16	50	ii	ii	NOUN
bracis-28370	16	51	)	)	PUNCT
bracis-28370	16	52	to	to	PART
bracis-28370	16	53	find	find	VERB
bracis-28370	16	54	associations	association	NOUN
bracis-28370	16	55	between	between	ADP
bracis-28370	16	56	the	the	DET
bracis-28370	16	57	independent	independent	ADJ
bracis-28370	16	58	features	feature	NOUN
bracis-28370	16	59	and	and	CCONJ
bracis-28370	16	60	the	the	DET
bracis-28370	16	61	outcome	outcome	NOUN
bracis-28370	16	62	and	and	CCONJ
bracis-28370	16	63	how	how	SCONJ
bracis-28370	16	64	strong	strong	ADJ
bracis-28370	16	65	these	these	DET
bracis-28370	16	66	associations	association	NOUN
bracis-28370	16	67	are	be	AUX
bracis-28370	16	68	.	.	PUNCT
bracis-28370	17	1	when	when	SCONJ
bracis-28370	17	2	the	the	DET
bracis-28370	17	3	regression	regression	NOUN
bracis-28370	17	4	models	model	NOUN
bracis-28370	17	5	can	can	AUX
bracis-28370	17	6	account	account	VERB
bracis-28370	17	7	for	for	ADP
bracis-28370	17	8	non	non	ADJ
bracis-28370	17	9	-	-	ADJ
bracis-28370	17	10	linear	linear	ADJ
bracis-28370	17	11	data	datum	NOUN
bracis-28370	17	12	relationships	relationship	NOUN
bracis-28370	17	13	,	,	PUNCT
bracis-28370	17	14	the	the	DET
bracis-28370	17	15	produced	produce	VERB
bracis-28370	17	16	models	model	NOUN
bracis-28370	17	17	can	can	AUX
bracis-28370	17	18	not	not	PART
bracis-28370	17	19	be	be	AUX
bracis-28370	17	20	directly	directly	ADV
bracis-28370	17	21	interpreted	interpret	VERB
bracis-28370	17	22	by	by	ADP
bracis-28370	17	23	analyzing	analyze	VERB
bracis-28370	17	24	their	their	PRON
bracis-28370	17	25	coefficients	coefficient	NOUN
bracis-28370	17	26	,	,	PUNCT
bracis-28370	17	27	as	as	SCONJ
bracis-28370	17	28	it	it	PRON
bracis-28370	17	29	is	be	AUX
bracis-28370	17	30	usual	usual	ADJ
bracis-28370	17	31	in	in	ADP
bracis-28370	17	32	linear	linear	PROPN
bracis-28370	17	33	regression	regression	NOUN
bracis-28370	17	34	.	.	PUNCT
bracis-28370	18	1	as	as	SCONJ
bracis-28370	18	2	these	these	DET
bracis-28370	18	3	models	model	NOUN
bracis-28370	18	4	can	can	AUX
bracis-28370	18	5	be	be	AUX
bracis-28370	18	6	complex	complex	ADJ
bracis-28370	18	7	,	,	PUNCT
bracis-28370	18	8	have	have	VERB
bracis-28370	18	9	many	many	ADJ
bracis-28370	18	10	features	feature	NOUN
bracis-28370	18	11	and	and	CCONJ
bracis-28370	18	12	nonlinear	nonlinear	ADJ
bracis-28370	18	13	interactions	interaction	NOUN
bracis-28370	18	14	,	,	PUNCT
bracis-28370	18	15	having	have	VERB
bracis-28370	18	16	methods	method	NOUN
bracis-28370	18	17	able	able	ADJ
bracis-28370	18	18	to	to	PART
bracis-28370	18	19	understand	understand	VERB
bracis-28370	18	20	the	the	DET
bracis-28370	18	21	reasons	reason	NOUN
bracis-28370	18	22	that	that	PRON
bracis-28370	18	23	lead	lead	VERB
bracis-28370	18	24	to	to	ADP
bracis-28370	18	25	a	a	DET
bracis-28370	18	26	regression	regression	NOUN
bracis-28370	18	27	model	model	NOUN
bracis-28370	18	28	’s	’s	PART
bracis-28370	18	29	output	output	NOUN
bracis-28370	18	30	is	be	AUX
bracis-28370	18	31	important	important	ADJ
bracis-28370	18	32	,	,	PUNCT
bracis-28370	18	33	especially	especially	ADV
bracis-28370	18	34	in	in	ADP
bracis-28370	18	35	critical	critical	ADJ
bracis-28370	18	36	areas	area	NOUN
bracis-28370	18	37	that	that	PRON
bracis-28370	18	38	can	can	AUX
bracis-28370	18	39	affect	affect	VERB
bracis-28370	18	40	human	human	ADJ
bracis-28370	18	41	life	life	NOUN
bracis-28370	18	42	.	.	PUNCT
bracis-28370	19	1	current	current	ADJ
bracis-28370	19	2	methods	method	NOUN
bracis-28370	19	3	for	for	ADP
bracis-28370	19	4	explaining	explain	VERB
bracis-28370	19	5	regression	regression	NOUN
bracis-28370	19	6	models	model	NOUN
bracis-28370	19	7	provide	provide	VERB
bracis-28370	19	8	different	different	ADJ
bracis-28370	19	9	approaches	approach	NOUN
bracis-28370	19	10	,	,	PUNCT
bracis-28370	19	11	including	include	VERB
bracis-28370	19	12	simplification	simplification	NOUN
bracis-28370	19	13	,	,	PUNCT
bracis-28370	19	14	visual	visual	ADJ
bracis-28370	19	15	,	,	PUNCT
bracis-28370	19	16	counterfactual	counterfactual	ADJ
bracis-28370	19	17	,	,	PUNCT
bracis-28370	19	18	example	example	NOUN
bracis-28370	19	19	-	-	PUNCT
bracis-28370	19	20	based	base	VERB
bracis-28370	19	21	,	,	PUNCT
bracis-28370	19	22	and	and	CCONJ
bracis-28370	19	23	feature	feature	NOUN
bracis-28370	19	24	-	-	PUNCT
bracis-28370	19	25	based	base	VERB
bracis-28370	19	26	explanations	explanation	NOUN
bracis-28370	19	27	[	[	X
bracis-28370	19	28	3	3	NUM
bracis-28370	19	29	,	,	PUNCT
bracis-28370	19	30	9	9	NUM
bracis-28370	19	31	,	,	PUNCT
bracis-28370	19	32	16	16	NUM
bracis-28370	19	33	]	]	PUNCT
bracis-28370	19	34	.	.	PUNCT
bracis-28370	20	1	each	each	PRON
bracis-28370	20	2	of	of	ADP
bracis-28370	20	3	these	these	DET
bracis-28370	20	4	approaches	approach	NOUN
bracis-28370	20	5	provides	provide	VERB
bracis-28370	20	6	complementary	complementary	ADJ
bracis-28370	20	7	explanations	explanation	NOUN
bracis-28370	20	8	for	for	ADP
bracis-28370	20	9	the	the	DET
bracis-28370	20	10	model	model	NOUN
bracis-28370	20	11	’s	’s	PART
bracis-28370	20	12	output	output	NOUN
bracis-28370	20	13	,	,	PUNCT
bracis-28370	20	14	but	but	CCONJ
bracis-28370	20	15	often	often	ADV
bracis-28370	20	16	they	they	PRON
bracis-28370	20	17	do	do	AUX
bracis-28370	20	18	not	not	PART
bracis-28370	20	19	provide	provide	VERB
bracis-28370	20	20	a	a	DET
bracis-28370	20	21	complete	complete	ADJ
bracis-28370	20	22	understanding	understanding	NOUN
bracis-28370	20	23	of	of	ADP
bracis-28370	20	24	why	why	SCONJ
bracis-28370	20	25	an	an	DET
bracis-28370	20	26	output	output	NOUN
bracis-28370	20	27	occurs	occur	VERB
bracis-28370	20	28	.	.	PUNCT
bracis-28370	21	1	additionally	additionally	ADV
bracis-28370	21	2	,	,	PUNCT
bracis-28370	21	3	these	these	DET
bracis-28370	21	4	approaches	approach	NOUN
bracis-28370	21	5	usually	usually	ADV
bracis-28370	21	6	provide	provide	VERB
bracis-28370	21	7	a	a	DET
bracis-28370	21	8	global	global	ADJ
bracis-28370	21	9	explanation	explanation	NOUN
bracis-28370	21	10	of	of	ADP
bracis-28370	21	11	the	the	DET
bracis-28370	21	12	overall	overall	ADJ
bracis-28370	21	13	model	model	NOUN
bracis-28370	21	14	behavior	behavior	NOUN
bracis-28370	21	15	or	or	CCONJ
bracis-28370	21	16	a	a	DET
bracis-28370	21	17	local	local	ADJ
bracis-28370	21	18	explanation	explanation	NOUN
bracis-28370	21	19	about	about	ADP
bracis-28370	21	20	the	the	DET
bracis-28370	21	21	output	output	NOUN
bracis-28370	21	22	of	of	ADP
bracis-28370	21	23	a	a	DET
bracis-28370	21	24	specific	specific	ADJ
bracis-28370	21	25	instance	instance	NOUN
bracis-28370	21	26	.	.	PUNCT
bracis-28370	22	1	in	in	ADP
bracis-28370	22	2	this	this	DET
bracis-28370	22	3	paper	paper	NOUN
bracis-28370	22	4	we	we	PRON
bracis-28370	22	5	propose	propose	VERB
bracis-28370	22	6	hybrid	hybrid	ADJ
bracis-28370	22	7	multilevel	multilevel	NOUN
bracis-28370	22	8	explanation	explanation	NOUN
bracis-28370	22	9	(	(	PUNCT
bracis-28370	22	10	humie	humie	PROPN
bracis-28370	22	11	)	)	PUNCT
bracis-28370	22	12	,	,	PUNCT
bracis-28370	22	13	a	a	DET
bracis-28370	22	14	method	method	NOUN
bracis-28370	22	15	for	for	ADP
bracis-28370	22	16	explaining	explain	VERB
bracis-28370	22	17	regression	regression	NOUN
bracis-28370	22	18	models	model	NOUN
bracis-28370	22	19	that	that	PRON
bracis-28370	22	20	build	build	VERB
bracis-28370	22	21	up	up	ADP
bracis-28370	22	22	on	on	ADP
bracis-28370	22	23	example	example	NOUN
bracis-28370	22	24	-	-	PUNCT
bracis-28370	22	25	based	base	VERB
bracis-28370	22	26	explanations	explanation	NOUN
bracis-28370	22	27	.	.	PUNCT
bracis-28370	23	1	example	example	NOUN
bracis-28370	23	2	-	-	PUNCT
bracis-28370	23	3	based	base	VERB
bracis-28370	23	4	explanations	explanation	NOUN
bracis-28370	23	5	have	have	VERB
bracis-28370	23	6	the	the	DET
bracis-28370	23	7	advantage	advantage	NOUN
bracis-28370	23	8	of	of	ADP
bracis-28370	23	9	being	be	AUX
bracis-28370	23	10	similar	similar	ADJ
bracis-28370	23	11	to	to	ADP
bracis-28370	23	12	the	the	DET
bracis-28370	23	13	human	human	ADJ
bracis-28370	23	14	way	way	NOUN
bracis-28370	23	15	of	of	ADP
bracis-28370	23	16	explaining	explain	VERB
bracis-28370	23	17	things	thing	NOUN
bracis-28370	23	18	by	by	ADP
bracis-28370	23	19	similarity	similarity	NOUN
bracis-28370	23	20	to	to	ADP
bracis-28370	23	21	past	past	ADJ
bracis-28370	23	22	events	event	NOUN
bracis-28370	23	23	,	,	PUNCT
bracis-28370	23	24	but	but	CCONJ
bracis-28370	23	25	they	they	PRON
bracis-28370	23	26	often	often	ADV
bracis-28370	23	27	do	do	AUX
bracis-28370	23	28	not	not	PART
bracis-28370	23	29	provide	provide	VERB
bracis-28370	23	30	a	a	DET
bracis-28370	23	31	complete	complete	ADJ
bracis-28370	23	32	understanding	understanding	NOUN
bracis-28370	23	33	of	of	ADP
bracis-28370	23	34	why	why	SCONJ
bracis-28370	23	35	an	an	DET
bracis-28370	23	36	output	output	NOUN
bracis-28370	23	37	occurs	occur	VERB
bracis-28370	23	38	.	.	PUNCT
bracis-28370	24	1	our	our	PRON
bracis-28370	24	2	proposed	propose	VERB
bracis-28370	24	3	method	method	NOUN
bracis-28370	24	4	,	,	PUNCT
bracis-28370	24	5	on	on	ADP
bracis-28370	24	6	the	the	DET
bracis-28370	24	7	other	other	ADJ
bracis-28370	24	8	hand	hand	NOUN
bracis-28370	24	9	,	,	PUNCT
bracis-28370	24	10	provides	provide	VERB
bracis-28370	24	11	a	a	DET
bracis-28370	24	12	complete	complete	ADJ
bracis-28370	24	13	understanding	understanding	NOUN
bracis-28370	24	14	of	of	ADP
bracis-28370	24	15	the	the	DET
bracis-28370	24	16	reasons	reason	NOUN
bracis-28370	24	17	why	why	SCONJ
bracis-28370	24	18	an	an	DET
bracis-28370	24	19	output	output	NOUN
bracis-28370	24	20	is	be	AUX
bracis-28370	24	21	obtained	obtain	VERB
bracis-28370	24	22	,	,	PUNCT
bracis-28370	24	23	in	in	ADP
bracis-28370	24	24	terms	term	NOUN
bracis-28370	24	25	of	of	ADP
bracis-28370	24	26	feature	feature	NOUN
bracis-28370	24	27	importance	importance	NOUN
bracis-28370	24	28	and	and	CCONJ
bracis-28370	24	29	expected	expect	VERB
bracis-28370	24	30	values	value	NOUN
bracis-28370	24	31	in	in	ADP
bracis-28370	24	32	similar	similar	ADJ
bracis-28370	24	33	instances	instance	NOUN
bracis-28370	24	34	.	.	PUNCT
bracis-28370	25	1	for	for	ADP
bracis-28370	25	2	each	each	DET
bracis-28370	25	3	selected	select	VERB
bracis-28370	25	4	example	example	NOUN
bracis-28370	25	5	,	,	PUNCT
bracis-28370	25	6	humie	humie	PROPN
bracis-28370	25	7	explain	explain	VERB
bracis-28370	25	8	the	the	DET
bracis-28370	25	9	reasons	reason	NOUN
bracis-28370	25	10	why	why	SCONJ
bracis-28370	25	11	the	the	DET
bracis-28370	25	12	output	output	NOUN
bracis-28370	25	13	is	be	AUX
bracis-28370	25	14	obtained	obtain	VERB
bracis-28370	25	15	in	in	ADP
bracis-28370	25	16	terms	term	NOUN
bracis-28370	25	17	of	of	ADP
bracis-28370	25	18	feature	feature	NOUN
bracis-28370	25	19	importance	importance	NOUN
bracis-28370	25	20	and	and	CCONJ
bracis-28370	25	21	expected	expect	VERB
bracis-28370	25	22	values	value	NOUN
bracis-28370	25	23	in	in	ADP
bracis-28370	25	24	similar	similar	ADJ
bracis-28370	25	25	instances	instance	NOUN
bracis-28370	25	26	.	.	PUNCT
bracis-28370	26	1	furthermore	furthermore	ADV
bracis-28370	26	2	,	,	PUNCT
bracis-28370	26	3	the	the	DET
bracis-28370	26	4	method	method	NOUN
bracis-28370	26	5	provides	provide	VERB
bracis-28370	26	6	intermediate	intermediate	ADJ
bracis-28370	26	7	explanations	explanation	NOUN
bracis-28370	26	8	between	between	ADP
bracis-28370	26	9	the	the	DET
bracis-28370	26	10	possibilities	possibility	NOUN
bracis-28370	26	11	of	of	ADP
bracis-28370	26	12	global	global	ADJ
bracis-28370	26	13	and	and	CCONJ
bracis-28370	26	14	local	local	ADJ
bracis-28370	26	15	explanations	explanation	NOUN
bracis-28370	26	16	,	,	PUNCT
bracis-28370	26	17	grouping	group	VERB
bracis-28370	26	18	semantically	semantically	ADV
bracis-28370	26	19	similar	similar	ADJ
bracis-28370	26	20	instances	instance	NOUN
bracis-28370	26	21	during	during	ADP
bracis-28370	26	22	the	the	DET
bracis-28370	26	23	explanation	explanation	NOUN
bracis-28370	26	24	process	process	NOUN
bracis-28370	26	25	and	and	CCONJ
bracis-28370	26	26	bringing	bring	VERB
bracis-28370	26	27	new	new	ADJ
bracis-28370	26	28	possibilities	possibility	NOUN
bracis-28370	26	29	of	of	ADP
bracis-28370	26	30	output	output	NOUN
bracis-28370	26	31	understanding	understanding	NOUN
bracis-28370	26	32	to	to	ADP
bracis-28370	26	33	the	the	DET
bracis-28370	26	34	user	user	NOUN
bracis-28370	26	35	.	.	PUNCT
bracis-28370	27	1	the	the	DET
bracis-28370	27	2	remainder	remainder	NOUN
bracis-28370	27	3	of	of	ADP
bracis-28370	27	4	this	this	DET
bracis-28370	27	5	paper	paper	NOUN
bracis-28370	27	6	is	be	AUX
bracis-28370	27	7	organized	organize	VERB
bracis-28370	27	8	as	as	SCONJ
bracis-28370	27	9	follows	follow	VERB
bracis-28370	27	10	.	.	PUNCT
bracis-28370	28	1	in	in	ADP
bracis-28370	28	2	sect	sect	NOUN
bracis-28370	28	3	.	.	PUNCT
bracis-28370	28	4	 	 	SPACE
bracis-28370	28	5	2	2	NUM
bracis-28370	28	6	,	,	PUNCT
bracis-28370	28	7	we	we	PRON
bracis-28370	28	8	review	review	VERB
bracis-28370	28	9	the	the	DET
bracis-28370	28	10	existing	exist	VERB
bracis-28370	28	11	literature	literature	NOUN
bracis-28370	28	12	on	on	ADP
bracis-28370	28	13	explanation	explanation	NOUN
bracis-28370	28	14	methods	method	NOUN
bracis-28370	28	15	for	for	ADP
bracis-28370	28	16	regression	regression	NOUN
bracis-28370	28	17	models	model	NOUN
bracis-28370	28	18	.	.	PUNCT
bracis-28370	29	1	in	in	ADP
bracis-28370	29	2	sect	sect	NOUN
bracis-28370	29	3	.	.	PUNCT
bracis-28370	29	4	 	 	SPACE
bracis-28370	29	5	3	3	NUM
bracis-28370	29	6	,	,	PUNCT
bracis-28370	29	7	we	we	PRON
bracis-28370	29	8	introduce	introduce	VERB
bracis-28370	29	9	humie	humie	NOUN
bracis-28370	29	10	.	.	PUNCT
bracis-28370	30	1	in	in	ADP
bracis-28370	30	2	sect	sect	NOUN
bracis-28370	30	3	.	.	PUNCT
bracis-28370	30	4	 	 	SPACE
bracis-28370	30	5	4	4	NUM
bracis-28370	30	6	,	,	PUNCT
bracis-28370	30	7	we	we	PRON
bracis-28370	30	8	report	report	VERB
bracis-28370	30	9	the	the	DET
bracis-28370	30	10	experimental	experimental	ADJ
bracis-28370	30	11	results	result	NOUN
bracis-28370	30	12	.	.	PUNCT
bracis-28370	31	1	finally	finally	ADV
bracis-28370	31	2	,	,	PUNCT
bracis-28370	31	3	in	in	ADP
bracis-28370	31	4	sect	sect	NOUN
bracis-28370	31	5	.	.	PUNCT
bracis-28370	31	6	 	 	SPACE
bracis-28370	31	7	5	5	NUM
bracis-28370	31	8	,	,	PUNCT
bracis-28370	31	9	we	we	PRON
bracis-28370	31	10	report	report	VERB
bracis-28370	31	11	our	our	PRON
bracis-28370	31	12	conclusions	conclusion	NOUN
bracis-28370	31	13	and	and	CCONJ
bracis-28370	31	14	possibilities	possibility	NOUN
bracis-28370	31	15	of	of	ADP
bracis-28370	31	16	future	future	ADJ
bracis-28370	31	17	work	work	NOUN
bracis-28370	31	18	.	.	PUNCT
bracis-28370	32	1	2	2	NUM
bracis-28370	32	2	related	relate	VERB
bracis-28370	32	3	work	work	NOUN
bracis-28370	32	4	as	as	SCONJ
bracis-28370	32	5	the	the	DET
bracis-28370	32	6	use	use	NOUN
bracis-28370	32	7	of	of	ADP
bracis-28370	32	8	models	model	NOUN
bracis-28370	32	9	created	create	VERB
bracis-28370	32	10	by	by	ADP
bracis-28370	32	11	machine	machine	NOUN
bracis-28370	32	12	learning	learn	VERB
bracis-28370	32	13	algorithm	algorithm	NOUN
bracis-28370	32	14	is	be	AUX
bracis-28370	32	15	increasingly	increasingly	ADV
bracis-28370	32	16	used	use	VERB
bracis-28370	32	17	to	to	PART
bracis-28370	32	18	make	make	VERB
bracis-28370	32	19	critical	critical	ADJ
bracis-28370	32	20	decisions	decision	NOUN
bracis-28370	32	21	in	in	ADP
bracis-28370	32	22	our	our	PRON
bracis-28370	32	23	daily	daily	ADJ
bracis-28370	32	24	lives	life	NOUN
bracis-28370	33	1	,	,	PUNCT
bracis-28370	33	2	so	so	ADV
bracis-28370	33	3	does	do	VERB
bracis-28370	33	4	the	the	DET
bracis-28370	33	5	concern	concern	NOUN
bracis-28370	33	6	to	to	PART
bracis-28370	33	7	understand	understand	VERB
bracis-28370	33	8	the	the	DET
bracis-28370	33	9	internal	internal	ADJ
bracis-28370	33	10	mechanisms	mechanism	NOUN
bracis-28370	33	11	that	that	PRON
bracis-28370	33	12	lead	lead	VERB
bracis-28370	33	13	such	such	ADJ
bracis-28370	33	14	models	model	NOUN
bracis-28370	33	15	to	to	PART
bracis-28370	33	16	obtain	obtain	VERB
bracis-28370	33	17	their	their	PRON
bracis-28370	33	18	outputs	output	NOUN
bracis-28370	33	19	.	.	PUNCT
bracis-28370	34	1	machine	machine	NOUN
bracis-28370	34	2	learning	learning	NOUN
bracis-28370	34	3	models	model	NOUN
bracis-28370	34	4	can	can	AUX
bracis-28370	34	5	be	be	AUX
bracis-28370	34	6	divided	divide	VERB
bracis-28370	34	7	into	into	ADP
bracis-28370	34	8	two	two	NUM
bracis-28370	34	9	categories	category	NOUN
bracis-28370	34	10	:	:	PUNCT
bracis-28370	34	11	those	those	PRON
bracis-28370	34	12	that	that	PRON
bracis-28370	34	13	create	create	VERB
bracis-28370	34	14	intrinsically	intrinsically	ADV
bracis-28370	34	15	interpretable	interpretable	ADJ
bracis-28370	34	16	models	model	NOUN
bracis-28370	34	17	and	and	CCONJ
bracis-28370	34	18	those	those	PRON
bracis-28370	34	19	that	that	PRON
bracis-28370	34	20	are	be	AUX
bracis-28370	34	21	considered	consider	VERB
bracis-28370	34	22	black	black	ADJ
bracis-28370	34	23	-	-	PUNCT
bracis-28370	34	24	boxes	box	NOUN
bracis-28370	34	25	.	.	PUNCT
bracis-28370	35	1	intrinsically	intrinsically	ADV
bracis-28370	35	2	interpretable	interpretable	ADJ
bracis-28370	35	3	models	model	NOUN
bracis-28370	35	4	are	be	AUX
bracis-28370	35	5	easily	easily	ADV
bracis-28370	35	6	understandable	understandable	ADJ
bracis-28370	35	7	by	by	ADP
bracis-28370	35	8	humans	human	NOUN
bracis-28370	35	9	,	,	PUNCT
bracis-28370	35	10	and	and	CCONJ
bracis-28370	35	11	include	include	VERB
bracis-28370	35	12	linear	linear	NOUN
bracis-28370	35	13	models	model	NOUN
bracis-28370	35	14	,	,	PUNCT
bracis-28370	35	15	and	and	CCONJ
bracis-28370	35	16	decision	decision	NOUN
bracis-28370	35	17	trees	tree	NOUN
bracis-28370	35	18	.	.	PUNCT
bracis-28370	36	1	in	in	ADP
bracis-28370	36	2	black	black	ADJ
bracis-28370	36	3	box	box	NOUN
bracis-28370	36	4	models	model	NOUN
bracis-28370	36	5	,	,	PUNCT
bracis-28370	36	6	in	in	ADP
bracis-28370	36	7	turn	turn	NOUN
bracis-28370	36	8	,	,	PUNCT
bracis-28370	36	9	a	a	DET
bracis-28370	36	10	human	human	NOUN
bracis-28370	36	11	can	can	AUX
bracis-28370	36	12	not	not	PART
bracis-28370	36	13	easily	easily	ADV
bracis-28370	36	14	understand	understand	VERB
bracis-28370	36	15	the	the	DET
bracis-28370	36	16	internal	internal	ADJ
bracis-28370	36	17	mechanisms	mechanism	NOUN
bracis-28370	36	18	that	that	PRON
bracis-28370	36	19	led	lead	VERB
bracis-28370	36	20	to	to	ADP
bracis-28370	36	21	the	the	DET
bracis-28370	36	22	output	output	NOUN
bracis-28370	36	23	[	[	X
bracis-28370	36	24	13	13	NUM
bracis-28370	36	25	]	]	PUNCT
bracis-28370	36	26	.	.	PUNCT
bracis-28370	37	1	it	it	PRON
bracis-28370	37	2	is	be	AUX
bracis-28370	37	3	fair	fair	ADJ
bracis-28370	37	4	to	to	PART
bracis-28370	37	5	assume	assume	VERB
bracis-28370	37	6	that	that	SCONJ
bracis-28370	37	7	currently	currently	ADV
bracis-28370	37	8	the	the	DET
bracis-28370	37	9	most	most	ADV
bracis-28370	37	10	accurate	accurate	ADJ
bracis-28370	37	11	models	model	NOUN
bracis-28370	37	12	are	be	AUX
bracis-28370	37	13	precisely	precisely	ADV
bracis-28370	37	14	of	of	ADP
bracis-28370	37	15	this	this	DET
bracis-28370	37	16	type	type	NOUN
bracis-28370	38	1	[	[	X
bracis-28370	38	2	9	9	NUM
bracis-28370	38	3	]	]	PUNCT
bracis-28370	38	4	.	.	PUNCT
bracis-28370	39	1	examples	example	NOUN
bracis-28370	39	2	include	include	VERB
bracis-28370	39	3	support	support	NOUN
bracis-28370	39	4	vector	vector	NOUN
bracis-28370	39	5	regressors	regressor	NOUN
bracis-28370	39	6	(	(	PUNCT
bracis-28370	39	7	svr	svr	PROPN
bracis-28370	39	8	)	)	PUNCT
bracis-28370	39	9	and	and	CCONJ
bracis-28370	39	10	neural	neural	ADJ
bracis-28370	39	11	network	network	NOUN
bracis-28370	39	12	regression	regression	NOUN
bracis-28370	39	13	(	(	PUNCT
bracis-28370	39	14	nnr	nnr	PROPN
bracis-28370	39	15	)	)	PUNCT
bracis-28370	39	16	.	.	PUNCT
bracis-28370	40	1	the	the	DET
bracis-28370	40	2	explainable	explainable	ADJ
bracis-28370	40	3	artificial	artificial	ADJ
bracis-28370	40	4	intelligence	intelligence	NOUN
bracis-28370	40	5	(	(	PUNCT
bracis-28370	40	6	xai	xai	PROPN
bracis-28370	40	7	)	)	PUNCT
bracis-28370	40	8	literature	literature	NOUN
bracis-28370	40	9	encompasses	encompass	VERB
bracis-28370	40	10	methods	method	NOUN
bracis-28370	40	11	generated	generate	VERB
bracis-28370	40	12	for	for	ADP
bracis-28370	40	13	explaining	explain	VERB
bracis-28370	40	14	black	black	ADJ
bracis-28370	40	15	-	-	PUNCT
bracis-28370	40	16	box	box	NOUN
bracis-28370	40	17	models	model	NOUN
bracis-28370	40	18	,	,	PUNCT
bracis-28370	40	19	with	with	ADP
bracis-28370	40	20	an	an	DET
bracis-28370	40	21	emphasis	emphasis	NOUN
bracis-28370	40	22	on	on	ADP
bracis-28370	40	23	classification	classification	NOUN
bracis-28370	40	24	tasks	task	NOUN
bracis-28370	40	25	[	[	X
bracis-28370	40	26	12	12	NUM
bracis-28370	40	27	]	]	PUNCT
bracis-28370	40	28	.	.	PUNCT
bracis-28370	41	1	more	more	ADV
bracis-28370	41	2	recently	recently	ADV
bracis-28370	41	3	we	we	PRON
bracis-28370	41	4	have	have	AUX
bracis-28370	41	5	seen	see	VERB
bracis-28370	41	6	various	various	ADJ
bracis-28370	41	7	initiatives	initiative	NOUN
bracis-28370	41	8	aimed	aim	VERB
bracis-28370	41	9	to	to	PART
bracis-28370	41	10	explain	explain	VERB
bracis-28370	41	11	regression	regression	NOUN
bracis-28370	41	12	models	model	NOUN
bracis-28370	41	13	,	,	PUNCT
bracis-28370	41	14	where	where	SCONJ
bracis-28370	41	15	the	the	DET
bracis-28370	41	16	output	output	NOUN
bracis-28370	41	17	is	be	AUX
bracis-28370	41	18	represented	represent	VERB
bracis-28370	41	19	by	by	ADP
bracis-28370	41	20	a	a	DET
bracis-28370	41	21	continuous	continuous	ADJ
bracis-28370	41	22	value	value	NOUN
bracis-28370	41	23	instead	instead	ADV
bracis-28370	41	24	of	of	ADP
bracis-28370	41	25	a	a	DET
bracis-28370	41	26	categorical	categorical	ADJ
bracis-28370	41	27	one	one	NUM
bracis-28370	41	28	.	.	PUNCT
bracis-28370	42	1	among	among	ADP
bracis-28370	42	2	the	the	DET
bracis-28370	42	3	main	main	ADJ
bracis-28370	42	4	explanation	explanation	NOUN
bracis-28370	42	5	approaches	approach	NOUN
bracis-28370	42	6	described	describe	VERB
bracis-28370	42	7	in	in	ADP
bracis-28370	42	8	the	the	DET
bracis-28370	42	9	literature	literature	NOUN
bracis-28370	42	10	,	,	PUNCT
bracis-28370	42	11	we	we	PRON
bracis-28370	42	12	have	have	VERB
bracis-28370	42	13	:	:	PUNCT
bracis-28370	42	14	i	i	NOUN
bracis-28370	42	15	)	)	PUNCT
bracis-28370	42	16	simplification	simplification	NOUN
bracis-28370	42	17	,	,	PUNCT
bracis-28370	42	18	where	where	SCONJ
bracis-28370	42	19	mathematical	mathematical	ADJ
bracis-28370	42	20	substitutions	substitution	NOUN
bracis-28370	42	21	are	be	AUX
bracis-28370	42	22	made	make	VERB
bracis-28370	42	23	,	,	PUNCT
bracis-28370	42	24	generating	generate	VERB
bracis-28370	42	25	more	more	ADV
bracis-28370	42	26	trivial	trivial	ADJ
bracis-28370	42	27	algebraic	algebraic	ADJ
bracis-28370	42	28	expressions	expression	NOUN
bracis-28370	42	29	;	;	PUNCT
bracis-28370	42	30	ii	ii	X
bracis-28370	42	31	)	)	PUNCT
bracis-28370	42	32	visual	visual	ADJ
bracis-28370	42	33	,	,	PUNCT
bracis-28370	42	34	where	where	SCONJ
bracis-28370	42	35	the	the	DET
bracis-28370	42	36	model	model	NOUN
bracis-28370	42	37	is	be	AUX
bracis-28370	42	38	explained	explain	VERB
bracis-28370	42	39	through	through	ADP
bracis-28370	42	40	graphical	graphical	ADJ
bracis-28370	42	41	elements	element	NOUN
bracis-28370	42	42	[	[	X
bracis-28370	42	43	1	1	NUM
bracis-28370	42	44	,	,	PUNCT
bracis-28370	42	45	23	23	NUM
bracis-28370	42	46	]	]	PUNCT
bracis-28370	42	47	;	;	PUNCT
bracis-28370	42	48	iii	iii	X
bracis-28370	42	49	)	)	PUNCT
bracis-28370	42	50	counterfactual	counterfactual	ADJ
bracis-28370	42	51	,	,	PUNCT
bracis-28370	42	52	methods	method	NOUN
bracis-28370	42	53	demonstrate	demonstrate	VERB
bracis-28370	42	54	that	that	SCONJ
bracis-28370	42	55	minimal	minimal	ADJ
bracis-28370	42	56	modifications	modification	NOUN
bracis-28370	42	57	made	make	VERB
bracis-28370	42	58	to	to	ADP
bracis-28370	42	59	the	the	DET
bracis-28370	42	60	input	input	NOUN
bracis-28370	42	61	data	datum	NOUN
bracis-28370	42	62	can	can	AUX
bracis-28370	42	63	significantly	significantly	ADV
bracis-28370	42	64	modify	modify	VERB
bracis-28370	42	65	the	the	DET
bracis-28370	42	66	output	output	NOUN
bracis-28370	42	67	[	[	X
bracis-28370	42	68	8	8	NUM
bracis-28370	42	69	,	,	PUNCT
bracis-28370	42	70	17	17	NUM
bracis-28370	42	71	]	]	PUNCT
bracis-28370	42	72	;	;	PUNCT
bracis-28370	42	73	iv	iv	X
bracis-28370	42	74	)	)	PUNCT
bracis-28370	42	75	feature	feature	NOUN
bracis-28370	42	76	-	-	PUNCT
bracis-28370	42	77	based	base	VERB
bracis-28370	42	78	,	,	PUNCT
bracis-28370	42	79	analyze	analyze	VERB
bracis-28370	42	80	the	the	DET
bracis-28370	42	81	characteristics	characteristic	NOUN
bracis-28370	42	82	of	of	ADP
bracis-28370	42	83	the	the	DET
bracis-28370	42	84	data	data	NOUN
bracis-28370	42	85	-	-	PUNCT
bracis-28370	42	86	including	include	VERB
bracis-28370	42	87	,	,	PUNCT
bracis-28370	42	88	for	for	ADP
bracis-28370	42	89	example	example	NOUN
bracis-28370	42	90	,	,	PUNCT
bracis-28370	42	91	statistical	statistical	ADJ
bracis-28370	42	92	summaries	summary	NOUN
bracis-28370	42	93	and	and	CCONJ
bracis-28370	42	94	feature	feature	NOUN
bracis-28370	42	95	importancethat	importancethat	NOUN
bracis-28370	42	96	cause	cause	VERB
bracis-28370	42	97	a	a	DET
bracis-28370	42	98	given	give	VERB
bracis-28370	42	99	black	black	ADJ
bracis-28370	42	100	-	-	PUNCT
bracis-28370	42	101	box	box	NOUN
bracis-28370	42	102	model	model	NOUN
bracis-28370	42	103	to	to	PART
bracis-28370	42	104	perform	perform	VERB
bracis-28370	42	105	a	a	DET
bracis-28370	42	106	prediction	prediction	NOUN
bracis-28370	42	107	[	[	X
bracis-28370	42	108	20	20	NUM
bracis-28370	42	109	,	,	PUNCT
bracis-28370	42	110	22	22	NUM
bracis-28370	42	111	]	]	PUNCT
bracis-28370	42	112	;	;	PUNCT
bracis-28370	42	113	and	and	CCONJ
bracis-28370	42	114	v	v	NOUN
bracis-28370	42	115	)	)	PUNCT
bracis-28370	42	116	example	example	NOUN
bracis-28370	42	117	-	-	PUNCT
bracis-28370	42	118	based	base	VERB
bracis-28370	42	119	,	,	PUNCT
bracis-28370	42	120	where	where	SCONJ
bracis-28370	42	121	representative	representative	ADJ
bracis-28370	42	122	instances	instance	NOUN
bracis-28370	42	123	of	of	ADP
bracis-28370	42	124	the	the	DET
bracis-28370	42	125	model	model	NOUN
bracis-28370	42	126	are	be	AUX
bracis-28370	42	127	created	create	VERB
bracis-28370	42	128	or	or	CCONJ
bracis-28370	42	129	selected	select	VERB
bracis-28370	42	130	from	from	ADP
bracis-28370	42	131	the	the	DET
bracis-28370	42	132	training	training	NOUN
bracis-28370	42	133	set	set	NOUN
bracis-28370	42	134	(	(	PUNCT
bracis-28370	42	135	and	and	CCONJ
bracis-28370	42	136	are	be	AUX
bracis-28370	42	137	also	also	ADV
bracis-28370	42	138	called	call	VERB
bracis-28370	42	139	prototypes	prototype	NOUN
bracis-28370	42	140	)	)	PUNCT
bracis-28370	42	141	to	to	PART
bracis-28370	42	142	generate	generate	VERB
bracis-28370	42	143	a	a	DET
bracis-28370	42	144	global	global	ADJ
bracis-28370	42	145	explanation	explanation	NOUN
bracis-28370	42	146	[	[	X
bracis-28370	42	147	2	2	NUM
bracis-28370	42	148	,	,	PUNCT
bracis-28370	42	149	10	10	NUM
bracis-28370	42	150	,	,	PUNCT
bracis-28370	42	151	11	11	NUM
bracis-28370	42	152	,	,	PUNCT
bracis-28370	42	153	15	15	NUM
bracis-28370	42	154	]	]	PUNCT
bracis-28370	42	155	,	,	PUNCT
bracis-28370	42	156	and	and	CCONJ
bracis-28370	42	157	local	local	ADJ
bracis-28370	42	158	explanations	explanation	NOUN
bracis-28370	42	159	are	be	AUX
bracis-28370	42	160	based	base	VERB
bracis-28370	42	161	on	on	ADP
bracis-28370	42	162	the	the	DET
bracis-28370	42	163	distance	distance	NOUN
bracis-28370	42	164	of	of	ADP
bracis-28370	42	165	these	these	DET
bracis-28370	42	166	prototypes	prototype	NOUN
bracis-28370	42	167	to	to	ADP
bracis-28370	42	168	the	the	DET
bracis-28370	42	169	instance	instance	NOUN
bracis-28370	42	170	to	to	PART
bracis-28370	42	171	be	be	AUX
bracis-28370	42	172	explained	explain	VERB
bracis-28370	42	173	.	.	PUNCT
bracis-28370	43	1	in	in	ADP
bracis-28370	43	2	this	this	DET
bracis-28370	43	3	context	context	NOUN
bracis-28370	43	4	,	,	PUNCT
bracis-28370	43	5	we	we	PRON
bracis-28370	43	6	observe	observe	VERB
bracis-28370	43	7	that	that	SCONJ
bracis-28370	43	8	example	example	NOUN
bracis-28370	43	9	-	-	PUNCT
bracis-28370	43	10	based	base	VERB
bracis-28370	43	11	explanation	explanation	NOUN
bracis-28370	43	12	approaches	approach	NOUN
bracis-28370	43	13	,	,	PUNCT
bracis-28370	43	14	although	although	SCONJ
bracis-28370	43	15	working	work	VERB
bracis-28370	43	16	in	in	ADP
bracis-28370	43	17	a	a	DET
bracis-28370	43	18	similar	similar	ADJ
bracis-28370	43	19	to	to	ADP
bracis-28370	43	20	humans	human	NOUN
bracis-28370	43	21	in	in	ADP
bracis-28370	43	22	the	the	DET
bracis-28370	43	23	sense	sense	NOUN
bracis-28370	43	24	of	of	ADP
bracis-28370	43	25	justifying	justify	VERB
bracis-28370	43	26	events	event	NOUN
bracis-28370	43	27	based	base	VERB
bracis-28370	43	28	on	on	ADP
bracis-28370	43	29	analogies	analogy	NOUN
bracis-28370	43	30	by	by	ADP
bracis-28370	43	31	similarity	similarity	NOUN
bracis-28370	43	32	,	,	PUNCT
bracis-28370	43	33	end	end	VERB
bracis-28370	43	34	up	up	ADP
bracis-28370	43	35	not	not	PART
bracis-28370	43	36	fully	fully	ADV
bracis-28370	43	37	explaining	explain	VERB
bracis-28370	43	38	why	why	SCONJ
bracis-28370	43	39	a	a	DET
bracis-28370	43	40	similar	similar	ADJ
bracis-28370	43	41	instance	instance	NOUN
bracis-28370	43	42	resulted	result	VERB
bracis-28370	43	43	in	in	ADP
bracis-28370	43	44	a	a	DET
bracis-28370	43	45	specific	specific	ADJ
bracis-28370	43	46	output	output	NOUN
bracis-28370	43	47	.	.	PUNCT
bracis-28370	44	1	therefore	therefore	ADV
bracis-28370	44	2	,	,	PUNCT
bracis-28370	44	3	we	we	PRON
bracis-28370	44	4	propose	propose	VERB
bracis-28370	44	5	a	a	DET
bracis-28370	44	6	hybrid	hybrid	ADJ
bracis-28370	44	7	multilevel	multilevel	NOUN
bracis-28370	44	8	approach	approach	NOUN
bracis-28370	44	9	that	that	PRON
bracis-28370	44	10	will	will	AUX
bracis-28370	44	11	fill	fill	VERB
bracis-28370	44	12	this	this	DET
bracis-28370	44	13	gap	gap	NOUN
bracis-28370	44	14	,	,	PUNCT
bracis-28370	44	15	providing	provide	VERB
bracis-28370	44	16	feature	feature	NOUN
bracis-28370	44	17	-	-	PUNCT
bracis-28370	44	18	based	base	VERB
bracis-28370	44	19	explanations	explanation	NOUN
bracis-28370	44	20	that	that	PRON
bracis-28370	44	21	will	will	AUX
bracis-28370	44	22	demonstrate	demonstrate	VERB
bracis-28370	44	23	how	how	SCONJ
bracis-28370	44	24	their	their	PRON
bracis-28370	44	25	output	output	NOUN
bracis-28370	44	26	was	be	AUX
bracis-28370	44	27	obtained	obtain	VERB
bracis-28370	44	28	for	for	ADP
bracis-28370	44	29	each	each	DET
bracis-28370	44	30	selected	select	VERB
bracis-28370	44	31	example	example	NOUN
bracis-28370	44	32	.	.	PUNCT
bracis-28370	45	1	one	one	NUM
bracis-28370	45	2	of	of	ADP
bracis-28370	45	3	the	the	DET
bracis-28370	45	4	few	few	ADJ
bracis-28370	45	5	works	work	NOUN
bracis-28370	45	6	that	that	PRON
bracis-28370	45	7	has	have	AUX
bracis-28370	45	8	already	already	ADV
bracis-28370	45	9	developed	develop	VERB
bracis-28370	45	10	hybrid	hybrid	ADJ
bracis-28370	45	11	approaches	approach	NOUN
bracis-28370	45	12	in	in	ADP
bracis-28370	45	13	the	the	DET
bracis-28370	45	14	literature	literature	NOUN
bracis-28370	45	15	was	be	AUX
bracis-28370	45	16	mame	mame	PROPN
bracis-28370	45	17	(	(	PUNCT
bracis-28370	45	18	model	model	NOUN
bracis-28370	45	19	agnostic	agnostic	ADJ
bracis-28370	45	20	multilevel	multilevel	ADJ
bracis-28370	45	21	explanations	explanation	NOUN
bracis-28370	45	22	)	)	PUNCT
bracis-28370	46	1	[	[	X
bracis-28370	46	2	19	19	NUM
bracis-28370	46	3	]	]	PUNCT
bracis-28370	46	4	.	.	PUNCT
bracis-28370	47	1	as	as	ADP
bracis-28370	47	2	per	per	ADP
bracis-28370	47	3	mame	mame	NOUN
bracis-28370	47	4	,	,	PUNCT
bracis-28370	47	5	little	little	ADJ
bracis-28370	47	6	attention	attention	NOUN
bracis-28370	47	7	has	have	AUX
bracis-28370	47	8	been	be	AUX
bracis-28370	47	9	given	give	VERB
bracis-28370	47	10	to	to	ADP
bracis-28370	47	11	obtaining	obtain	VERB
bracis-28370	47	12	insights	insight	NOUN
bracis-28370	47	13	at	at	ADP
bracis-28370	47	14	an	an	DET
bracis-28370	47	15	intermediate	intermediate	ADJ
bracis-28370	47	16	level	level	NOUN
bracis-28370	47	17	of	of	ADP
bracis-28370	47	18	model	model	NOUN
bracis-28370	47	19	explanations	explanation	NOUN
bracis-28370	47	20	.	.	PUNCT
bracis-28370	48	1	mame	mame	PROPN
bracis-28370	48	2	is	be	AUX
bracis-28370	48	3	a	a	DET
bracis-28370	48	4	meta	meta	ADJ
bracis-28370	48	5	-	-	PUNCT
bracis-28370	48	6	method	method	NOUN
bracis-28370	48	7	that	that	PRON
bracis-28370	48	8	builds	build	VERB
bracis-28370	48	9	a	a	DET
bracis-28370	48	10	multilevel	multilevel	ADJ
bracis-28370	48	11	tree	tree	NOUN
bracis-28370	48	12	from	from	ADP
bracis-28370	48	13	a	a	DET
bracis-28370	48	14	given	give	VERB
bracis-28370	48	15	method	method	NOUN
bracis-28370	48	16	of	of	ADP
bracis-28370	48	17	local	local	ADJ
bracis-28370	48	18	explanation	explanation	NOUN
bracis-28370	48	19	.	.	PUNCT
bracis-28370	49	1	the	the	DET
bracis-28370	49	2	tree	tree	NOUN
bracis-28370	49	3	is	be	AUX
bracis-28370	49	4	built	build	VERB
bracis-28370	49	5	by	by	ADP
bracis-28370	49	6	automatically	automatically	ADV
bracis-28370	49	7	grouping	group	VERB
bracis-28370	49	8	local	local	ADJ
bracis-28370	49	9	explanations	explanation	NOUN
bracis-28370	49	10	,	,	PUNCT
bracis-28370	49	11	without	without	ADP
bracis-28370	49	12	any	any	DET
bracis-28370	49	13	hybrid	hybrid	ADJ
bracis-28370	49	14	character	character	NOUN
bracis-28370	49	15	combining	combine	VERB
bracis-28370	49	16	different	different	ADJ
bracis-28370	49	17	types	type	NOUN
bracis-28370	49	18	of	of	ADP
bracis-28370	49	19	explanation	explanation	NOUN
bracis-28370	49	20	.	.	PUNCT
bracis-28370	50	1	the	the	DET
bracis-28370	50	2	intermediate	intermediate	ADJ
bracis-28370	50	3	levels	level	NOUN
bracis-28370	50	4	are	be	AUX
bracis-28370	50	5	based	base	VERB
bracis-28370	50	6	on	on	ADP
bracis-28370	50	7	this	this	DET
bracis-28370	50	8	automatic	automatic	ADJ
bracis-28370	50	9	grouping	grouping	NOUN
bracis-28370	50	10	of	of	ADP
bracis-28370	50	11	the	the	DET
bracis-28370	50	12	local	local	ADJ
bracis-28370	50	13	explanations	explanation	NOUN
bracis-28370	50	14	.	.	PUNCT
bracis-28370	51	1	furthermore	furthermore	ADV
bracis-28370	51	2	,	,	PUNCT
bracis-28370	51	3	the	the	DET
bracis-28370	51	4	local	local	ADJ
bracis-28370	51	5	explanation	explanation	NOUN
bracis-28370	51	6	methods	method	NOUN
bracis-28370	51	7	evaluated	evaluate	VERB
bracis-28370	51	8	in	in	ADP
bracis-28370	51	9	mame	mame	PROPN
bracis-28370	51	10	were	be	AUX
bracis-28370	51	11	not	not	PART
bracis-28370	51	12	specifically	specifically	ADV
bracis-28370	51	13	built	build	VERB
bracis-28370	51	14	to	to	PART
bracis-28370	51	15	work	work	VERB
bracis-28370	51	16	with	with	ADP
bracis-28370	51	17	regression	regression	NOUN
bracis-28370	51	18	problems	problem	NOUN
bracis-28370	51	19	,	,	PUNCT
bracis-28370	51	20	which	which	PRON
bracis-28370	51	21	can	can	AUX
bracis-28370	51	22	cause	cause	VERB
bracis-28370	51	23	some	some	DET
bracis-28370	51	24	damage	damage	NOUN
bracis-28370	51	25	when	when	SCONJ
bracis-28370	51	26	we	we	PRON
bracis-28370	51	27	start	start	VERB
bracis-28370	51	28	to	to	PART
bracis-28370	51	29	have	have	VERB
bracis-28370	51	30	a	a	DET
bracis-28370	51	31	continuous	continuous	ADJ
bracis-28370	51	32	range	range	NOUN
bracis-28370	51	33	of	of	ADP
bracis-28370	51	34	possible	possible	ADJ
bracis-28370	51	35	values	value	NOUN
bracis-28370	51	36	for	for	ADP
bracis-28370	51	37	each	each	DET
bracis-28370	51	38	instance	instance	NOUN
bracis-28370	51	39	output	output	NOUN
bracis-28370	51	40	.	.	PUNCT
bracis-28370	52	1	finally	finally	ADV
bracis-28370	52	2	,	,	PUNCT
bracis-28370	52	3	mame	mame	PROPN
bracis-28370	52	4	did	do	AUX
bracis-28370	52	5	not	not	PART
bracis-28370	52	6	make	make	VERB
bracis-28370	52	7	the	the	DET
bracis-28370	52	8	source	source	NOUN
bracis-28370	52	9	code	code	NOUN
bracis-28370	52	10	available	available	ADJ
bracis-28370	52	11	and	and	CCONJ
bracis-28370	52	12	neither	neither	CCONJ
bracis-28370	52	13	did	do	AUX
bracis-28370	52	14	they	they	PRON
bracis-28370	52	15	make	make	VERB
bracis-28370	52	16	available	available	ADJ
bracis-28370	52	17	the	the	DET
bracis-28370	52	18	tree	tree	NOUN
bracis-28370	52	19	generated	generate	VERB
bracis-28370	52	20	for	for	ADP
bracis-28370	52	21	the	the	DET
bracis-28370	52	22	only	only	ADJ
bracis-28370	52	23	regression	regression	NOUN
bracis-28370	52	24	dataset	dataset	NOUN
bracis-28370	52	25	used	use	VERB
bracis-28370	52	26	in	in	ADP
bracis-28370	52	27	their	their	PRON
bracis-28370	52	28	work	work	NOUN
bracis-28370	52	29	(	(	PUNCT
bracis-28370	52	30	auto	auto	NOUN
bracis-28370	52	31	-	-	PUNCT
bracis-28370	52	32	mpg	mpg	NOUN
bracis-28370	52	33	)	)	PUNCT
bracis-28370	52	34	,	,	PUNCT
bracis-28370	52	35	which	which	PRON
bracis-28370	52	36	makes	make	VERB
bracis-28370	52	37	any	any	DET
bracis-28370	52	38	kind	kind	NOUN
bracis-28370	52	39	of	of	ADP
bracis-28370	52	40	comparison	comparison	NOUN
bracis-28370	52	41	between	between	ADP
bracis-28370	52	42	the	the	DET
bracis-28370	52	43	approaches	approach	NOUN
bracis-28370	52	44	difficult	difficult	ADJ
bracis-28370	52	45	.	.	PUNCT
bracis-28370	53	1	3	3	NUM
bracis-28370	53	2	hybrid	hybrid	ADJ
bracis-28370	53	3	multilevel	multilevel	NOUN
bracis-28370	53	4	explanations	explanation	NOUN
bracis-28370	53	5	fig	fig	NOUN
bracis-28370	53	6	.	.	PUNCT
bracis-28370	54	1	1	1	NUM
bracis-28370	54	2	.	.	X
bracis-28370	54	3	example	example	NOUN
bracis-28370	54	4	of	of	ADP
bracis-28370	54	5	the	the	DET
bracis-28370	54	6	multilevel	multilevel	ADJ
bracis-28370	54	7	tree	tree	NOUN
bracis-28370	54	8	built	build	VERB
bracis-28370	54	9	by	by	ADP
bracis-28370	54	10	humie	humie	PROPN
bracis-28370	54	11	.	.	PUNCT
bracis-28370	55	1	in	in	ADP
bracis-28370	55	2	this	this	DET
bracis-28370	55	3	figure	figure	NOUN
bracis-28370	55	4	,	,	PUNCT
bracis-28370	55	5	the	the	DET
bracis-28370	55	6	squares	square	NOUN
bracis-28370	55	7	represent	represent	VERB
bracis-28370	55	8	instances	instance	NOUN
bracis-28370	55	9	,	,	PUNCT
bracis-28370	55	10	and	and	CCONJ
bracis-28370	55	11	the	the	DET
bracis-28370	55	12	colors	color	NOUN
bracis-28370	55	13	of	of	ADP
bracis-28370	55	14	the	the	DET
bracis-28370	55	15	instances	instance	NOUN
bracis-28370	55	16	the	the	DET
bracis-28370	55	17	feature	feature	NOUN
bracis-28370	55	18	values	value	NOUN
bracis-28370	55	19	used	use	VERB
bracis-28370	55	20	to	to	PART
bracis-28370	55	21	calculate	calculate	VERB
bracis-28370	55	22	similarities	similarity	NOUN
bracis-28370	55	23	.	.	PUNCT
bracis-28370	56	1	full	full	ADJ
bracis-28370	56	2	size	size	NOUN
bracis-28370	56	3	image	image	NOUN
bracis-28370	56	4	the	the	DET
bracis-28370	56	5	section	section	NOUN
bracis-28370	56	6	introduces	introduce	VERB
bracis-28370	56	7	hybrid	hybrid	ADJ
bracis-28370	56	8	multilevel	multilevel	NOUN
bracis-28370	56	9	explanation	explanation	NOUN
bracis-28370	56	10	(	(	PUNCT
bracis-28370	56	11	humie	humie	PROPN
bracis-28370	56	12	)	)	PUNCT
bracis-28370	56	13	,	,	PUNCT
bracis-28370	56	14	an	an	DET
bracis-28370	56	15	explanation	explanation	NOUN
bracis-28370	56	16	method	method	NOUN
bracis-28370	56	17	that	that	PRON
bracis-28370	56	18	combines	combine	VERB
bracis-28370	56	19	both	both	DET
bracis-28370	56	20	example	example	NOUN
bracis-28370	56	21	-	-	PUNCT
bracis-28370	56	22	based	base	VERB
bracis-28370	56	23	and	and	CCONJ
bracis-28370	56	24	feature	feature	NOUN
bracis-28370	56	25	-	-	PUNCT
bracis-28370	56	26	base	base	NOUN
bracis-28370	56	27	explanations	explanation	NOUN
bracis-28370	56	28	.	.	PUNCT
bracis-28370	57	1	humie	humie	PROPN
bracis-28370	57	2	produces	produce	VERB
bracis-28370	57	3	a	a	DET
bracis-28370	57	4	tree	tree	NOUN
bracis-28370	57	5	where	where	SCONJ
bracis-28370	57	6	each	each	DET
bracis-28370	57	7	node	node	NOUN
bracis-28370	57	8	represents	represent	VERB
bracis-28370	57	9	a	a	DET
bracis-28370	57	10	prototype	prototype	NOUN
bracis-28370	57	11	selected	select	VERB
bracis-28370	57	12	from	from	ADP
bracis-28370	57	13	the	the	DET
bracis-28370	57	14	training	training	NOUN
bracis-28370	57	15	set	set	NOUN
bracis-28370	57	16	.	.	PUNCT
bracis-28370	58	1	after	after	SCONJ
bracis-28370	58	2	prototypes	prototype	NOUN
bracis-28370	58	3	are	be	AUX
bracis-28370	58	4	selected	select	VERB
bracis-28370	58	5	,	,	PUNCT
bracis-28370	58	6	a	a	DET
bracis-28370	58	7	feature	feature	NOUN
bracis-28370	58	8	-	-	PUNCT
bracis-28370	58	9	based	base	VERB
bracis-28370	58	10	approach	approach	NOUN
bracis-28370	58	11	is	be	AUX
bracis-28370	58	12	used	use	VERB
bracis-28370	58	13	to	to	PART
bracis-28370	58	14	provide	provide	VERB
bracis-28370	58	15	further	further	ADJ
bracis-28370	58	16	details	detail	NOUN
bracis-28370	58	17	on	on	ADP
bracis-28370	58	18	the	the	DET
bracis-28370	58	19	models	model	NOUN
bracis-28370	58	20	decision	decision	NOUN
bracis-28370	58	21	.	.	PUNCT
bracis-28370	59	1	the	the	DET
bracis-28370	59	2	dynamics	dynamic	NOUN
bracis-28370	59	3	of	of	ADP
bracis-28370	59	4	creating	create	VERB
bracis-28370	59	5	this	this	DET
bracis-28370	59	6	explanation	explanation	NOUN
bracis-28370	59	7	tree	tree	NOUN
bracis-28370	59	8	is	be	AUX
bracis-28370	59	9	exemplified	exemplify	VERB
bracis-28370	59	10	in	in	ADP
bracis-28370	59	11	fig	fig	NOUN
bracis-28370	59	12	.	.	PUNCT
bracis-28370	59	13	 	 	SPACE
bracis-28370	60	1	1	1	X
bracis-28370	60	2	.	.	PUNCT
bracis-28370	61	1	in	in	ADP
bracis-28370	61	2	the	the	DET
bracis-28370	61	3	figure	figure	NOUN
bracis-28370	61	4	,	,	PUNCT
bracis-28370	61	5	each	each	DET
bracis-28370	61	6	square	square	NOUN
bracis-28370	61	7	represents	represent	VERB
bracis-28370	61	8	an	an	DET
bracis-28370	61	9	instance	instance	NOUN
bracis-28370	61	10	from	from	ADP
bracis-28370	61	11	the	the	DET
bracis-28370	61	12	training	training	NOUN
bracis-28370	61	13	set	set	NOUN
bracis-28370	61	14	(	(	PUNCT
bracis-28370	61	15	t	t	NOUN
bracis-28370	61	16	)	)	PUNCT
bracis-28370	61	17	,	,	PUNCT
bracis-28370	61	18	and	and	CCONJ
bracis-28370	61	19	the	the	DET
bracis-28370	61	20	colors	color	NOUN
bracis-28370	61	21	of	of	ADP
bracis-28370	61	22	the	the	DET
bracis-28370	61	23	squares	square	NOUN
bracis-28370	61	24	reflect	reflect	VERB
bracis-28370	61	25	the	the	DET
bracis-28370	61	26	values	value	NOUN
bracis-28370	61	27	of	of	ADP
bracis-28370	61	28	the	the	DET
bracis-28370	61	29	features	feature	NOUN
bracis-28370	61	30	of	of	ADP
bracis-28370	61	31	the	the	DET
bracis-28370	61	32	instances	instance	NOUN
bracis-28370	61	33	.	.	PUNCT
bracis-28370	62	1	we	we	PRON
bracis-28370	62	2	calculate	calculate	VERB
bracis-28370	62	3	the	the	DET
bracis-28370	62	4	similarity	similarity	NOUN
bracis-28370	62	5	between	between	ADP
bracis-28370	62	6	instances	instance	NOUN
bracis-28370	62	7	using	use	VERB
bracis-28370	62	8	these	these	DET
bracis-28370	62	9	features	feature	NOUN
bracis-28370	62	10	.	.	PUNCT
bracis-28370	63	1	in	in	ADP
bracis-28370	63	2	this	this	DET
bracis-28370	63	3	example	example	NOUN
bracis-28370	63	4	,	,	PUNCT
bracis-28370	63	5	humie	humie	PROPN
bracis-28370	63	6	first	first	ADV
bracis-28370	63	7	selects	select	VERB
bracis-28370	63	8	two	two	NUM
bracis-28370	63	9	prototypes	prototype	NOUN
bracis-28370	63	10	as	as	ADP
bracis-28370	63	11	the	the	DET
bracis-28370	63	12	root	root	NOUN
bracis-28370	63	13	of	of	ADP
bracis-28370	63	14	the	the	DET
bracis-28370	63	15	tree	tree	NOUN
bracis-28370	63	16	(	(	PUNCT
bracis-28370	63	17	r	r	NOUN
bracis-28370	63	18	)	)	PUNCT
bracis-28370	63	19	.	.	PUNCT
bracis-28370	64	1	after	after	ADP
bracis-28370	64	2	that	that	PRON
bracis-28370	64	3	,	,	PUNCT
bracis-28370	64	4	the	the	DET
bracis-28370	64	5	distance	distance	NOUN
bracis-28370	64	6	from	from	ADP
bracis-28370	64	7	the	the	DET
bracis-28370	64	8	remaining	remain	VERB
bracis-28370	64	9	instances	instance	NOUN
bracis-28370	64	10	to	to	ADP
bracis-28370	64	11	each	each	DET
bracis-28370	64	12	prototype	prototype	NOUN
bracis-28370	64	13	is	be	AUX
bracis-28370	64	14	calculated	calculate	VERB
bracis-28370	64	15	,	,	PUNCT
bracis-28370	64	16	and	and	CCONJ
bracis-28370	64	17	each	each	DET
bracis-28370	64	18	instance	instance	NOUN
bracis-28370	64	19	associated	associate	VERB
bracis-28370	64	20	with	with	ADP
bracis-28370	64	21	its	its	PRON
bracis-28370	64	22	most	most	ADV
bracis-28370	64	23	similar	similar	ADJ
bracis-28370	64	24	prototype	prototype	NOUN
bracis-28370	64	25	,	,	PUNCT
bracis-28370	64	26	generating	generate	VERB
bracis-28370	64	27	2	2	NUM
bracis-28370	64	28	subgroups	subgroup	NOUN
bracis-28370	64	29	.	.	PUNCT
bracis-28370	65	1	for	for	ADP
bracis-28370	65	2	each	each	PRON
bracis-28370	65	3	of	of	ADP
bracis-28370	65	4	these	these	DET
bracis-28370	65	5	subgroups	subgroup	NOUN
bracis-28370	65	6	,	,	PUNCT
bracis-28370	65	7	again	again	ADV
bracis-28370	65	8	two	two	NUM
bracis-28370	65	9	children	child	NOUN
bracis-28370	65	10	prototypes	prototype	NOUN
bracis-28370	65	11	are	be	AUX
bracis-28370	65	12	chosen	choose	VERB
bracis-28370	65	13	.	.	PUNCT
bracis-28370	66	1	this	this	DET
bracis-28370	66	2	process	process	NOUN
bracis-28370	66	3	is	be	AUX
bracis-28370	66	4	repeated	repeat	VERB
bracis-28370	66	5	until	until	SCONJ
bracis-28370	66	6	it	it	PRON
bracis-28370	66	7	reaches	reach	VERB
bracis-28370	66	8	the	the	DET
bracis-28370	66	9	height	height	NOUN
bracis-28370	66	10	(	(	PUNCT
bracis-28370	66	11	h	h	NOUN
bracis-28370	66	12	)	)	PUNCT
bracis-28370	66	13	of	of	ADP
bracis-28370	66	14	the	the	DET
bracis-28370	66	15	tree	tree	NOUN
bracis-28370	66	16	defined	define	VERB
bracis-28370	66	17	by	by	ADP
bracis-28370	66	18	the	the	DET
bracis-28370	66	19	user	user	NOUN
bracis-28370	66	20	.	.	PUNCT
bracis-28370	67	1	having	have	VERB
bracis-28370	67	2	a	a	DET
bracis-28370	67	3	tree	tree	NOUN
bracis-28370	67	4	of	of	ADP
bracis-28370	67	5	prototypes	prototype	NOUN
bracis-28370	67	6	,	,	PUNCT
bracis-28370	67	7	for	for	ADP
bracis-28370	67	8	each	each	DET
bracis-28370	67	9	node	node	NOUN
bracis-28370	67	10	of	of	ADP
bracis-28370	67	11	the	the	DET
bracis-28370	67	12	tree	tree	NOUN
bracis-28370	67	13	,	,	PUNCT
bracis-28370	67	14	humie	humie	PROPN
bracis-28370	67	15	shows	show	VERB
bracis-28370	67	16	the	the	DET
bracis-28370	67	17	most	most	ADV
bracis-28370	67	18	relevant	relevant	ADJ
bracis-28370	67	19	features	feature	NOUN
bracis-28370	67	20	considering	consider	VERB
bracis-28370	67	21	the	the	DET
bracis-28370	67	22	prototype	prototype	NOUN
bracis-28370	67	23	associated	associate	VERB
bracis-28370	67	24	with	with	ADP
bracis-28370	67	25	that	that	DET
bracis-28370	67	26	node	node	NOUN
bracis-28370	67	27	,	,	PUNCT
bracis-28370	67	28	together	together	ADV
bracis-28370	67	29	with	with	ADP
bracis-28370	67	30	the	the	DET
bracis-28370	67	31	range	range	NOUN
bracis-28370	67	32	of	of	ADP
bracis-28370	67	33	values	value	NOUN
bracis-28370	67	34	assumed	assume	VERB
bracis-28370	67	35	by	by	ADP
bracis-28370	67	36	the	the	DET
bracis-28370	67	37	instances	instance	NOUN
bracis-28370	67	38	of	of	ADP
bracis-28370	67	39	the	the	DET
bracis-28370	67	40	subgroup	subgroup	NOUN
bracis-28370	67	41	represented	represent	VERB
bracis-28370	67	42	by	by	ADP
bracis-28370	67	43	that	that	DET
bracis-28370	67	44	prototype	prototype	NOUN
bracis-28370	67	45	.	.	PUNCT
bracis-28370	68	1	finally	finally	ADV
bracis-28370	68	2	,	,	PUNCT
bracis-28370	68	3	humie	humie	PROPN
bracis-28370	68	4	allows	allow	VERB
bracis-28370	68	5	for	for	ADP
bracis-28370	68	6	a	a	DET
bracis-28370	68	7	local	local	ADJ
bracis-28370	68	8	explanation	explanation	NOUN
bracis-28370	68	9	of	of	ADP
bracis-28370	68	10	a	a	DET
bracis-28370	68	11	test	test	NOUN
bracis-28370	68	12	instance	instance	NOUN
bracis-28370	68	13	by	by	ADP
bracis-28370	68	14	selecting	select	VERB
bracis-28370	68	15	the	the	DET
bracis-28370	68	16	leaf	leaf	NOUN
bracis-28370	68	17	-	-	PUNCT
bracis-28370	68	18	level	level	NOUN
bracis-28370	68	19	prototype	prototype	NOUN
bracis-28370	68	20	most	most	ADV
bracis-28370	68	21	similar	similar	ADJ
bracis-28370	68	22	to	to	ADP
bracis-28370	68	23	the	the	DET
bracis-28370	68	24	instance	instance	NOUN
bracis-28370	68	25	to	to	PART
bracis-28370	68	26	be	be	AUX
bracis-28370	68	27	explained	explain	VERB
bracis-28370	68	28	.	.	PUNCT
bracis-28370	69	1	different	different	ADJ
bracis-28370	69	2	algorithms	algorithm	NOUN
bracis-28370	69	3	can	can	AUX
bracis-28370	69	4	be	be	AUX
bracis-28370	69	5	used	use	VERB
bracis-28370	69	6	to	to	PART
bracis-28370	69	7	select	select	VERB
bracis-28370	69	8	both	both	CCONJ
bracis-28370	69	9	the	the	DET
bracis-28370	69	10	prototypes	prototype	NOUN
bracis-28370	69	11	and	and	CCONJ
bracis-28370	69	12	to	to	PART
bracis-28370	69	13	determine	determine	VERB
bracis-28370	69	14	features	feature	NOUN
bracis-28370	69	15	importance	importance	NOUN
bracis-28370	69	16	.	.	PUNCT
bracis-28370	70	1	in	in	ADP
bracis-28370	70	2	this	this	DET
bracis-28370	70	3	paper	paper	NOUN
bracis-28370	70	4	,	,	PUNCT
bracis-28370	70	5	we	we	PRON
bracis-28370	70	6	use	use	VERB
bracis-28370	70	7	m	m	ADJ
bracis-28370	70	8	-	-	NOUN
bracis-28370	70	9	peer	peer	NOUN
bracis-28370	70	10	(	(	PUNCT
bracis-28370	70	11	multiobjective	multiobjective	ADJ
bracis-28370	70	12	prototype	prototype	NOUN
bracis-28370	70	13	-	-	PUNCT
bracis-28370	70	14	based	base	VERB
bracis-28370	70	15	explanation	explanation	NOUN
bracis-28370	70	16	for	for	ADP
bracis-28370	70	17	regression	regression	NOUN
bracis-28370	70	18	)	)	PUNCT
bracis-28370	71	1	[	[	X
bracis-28370	71	2	7	7	X
bracis-28370	71	3	]	]	PUNCT
bracis-28370	71	4	to	to	PART
bracis-28370	71	5	select	select	VERB
bracis-28370	71	6	prototypes	prototype	NOUN
bracis-28370	71	7	and	and	CCONJ
bracis-28370	71	8	dela	dela	PROPN
bracis-28370	71	9	(	(	PUNCT
bracis-28370	71	10	dynamic	dynamic	ADJ
bracis-28370	71	11	explanation	explanation	NOUN
bracis-28370	71	12	by	by	ADP
bracis-28370	71	13	local	local	ADJ
bracis-28370	71	14	approximation	approximation	NOUN
bracis-28370	71	15	)	)	PUNCT
bracis-28370	72	1	[	[	X
bracis-28370	72	2	5	5	NUM
bracis-28370	72	3	]	]	PUNCT
bracis-28370	72	4	to	to	PART
bracis-28370	72	5	determine	determine	VERB
bracis-28370	72	6	feature	feature	NOUN
bracis-28370	72	7	importance	importance	NOUN
bracis-28370	72	8	,	,	PUNCT
bracis-28370	72	9	although	although	SCONJ
bracis-28370	72	10	they	they	PRON
bracis-28370	72	11	could	could	AUX
bracis-28370	72	12	be	be	AUX
bracis-28370	72	13	replaced	replace	VERB
bracis-28370	72	14	by	by	ADP
bracis-28370	72	15	other	other	ADJ
bracis-28370	72	16	algorithms	algorithm	NOUN
bracis-28370	72	17	.	.	PUNCT
bracis-28370	73	1	3.1	3.1	NUM
bracis-28370	73	2	prototype	prototype	NOUN
bracis-28370	73	3	selection	selection	NOUN
bracis-28370	73	4	the	the	DET
bracis-28370	73	5	prototype	prototype	NOUN
bracis-28370	73	6	selection	selection	NOUN
bracis-28370	73	7	is	be	AUX
bracis-28370	73	8	done	do	VERB
bracis-28370	73	9	by	by	ADP
bracis-28370	73	10	m	m	NOUN
bracis-28370	73	11	-	-	NOUN
bracis-28370	73	12	peer	peer	NOUN
bracis-28370	73	13	.	.	PUNCT
bracis-28370	74	1	m	m	NOUN
bracis-28370	74	2	-	-	NOUN
bracis-28370	74	3	peer	peer	NOUN
bracis-28370	74	4	is	be	AUX
bracis-28370	74	5	based	base	VERB
bracis-28370	74	6	on	on	ADP
bracis-28370	74	7	the	the	DET
bracis-28370	74	8	spea-2	spea-2	NUM
bracis-28370	74	9	evolutionary	evolutionary	ADJ
bracis-28370	74	10	algorithm	algorithm	NOUN
bracis-28370	74	11	and	and	CCONJ
bracis-28370	74	12	simultaneously	simultaneously	ADV
bracis-28370	74	13	optimizes	optimize	VERB
bracis-28370	74	14	three	three	NUM
bracis-28370	74	15	metrics	metric	NOUN
bracis-28370	74	16	:	:	PUNCT
bracis-28370	74	17	fidelity	fidelity	NOUN
bracis-28370	74	18	of	of	ADP
bracis-28370	74	19	global	global	ADJ
bracis-28370	74	20	prototypes	prototype	NOUN
bracis-28370	74	21	,	,	PUNCT
bracis-28370	74	22	stability	stability	NOUN
bracis-28370	74	23	of	of	ADP
bracis-28370	74	24	global	global	ADJ
bracis-28370	74	25	prototypes	prototype	NOUN
bracis-28370	74	26	,	,	PUNCT
bracis-28370	74	27	and	and	CCONJ
bracis-28370	74	28	root	root	NOUN
bracis-28370	74	29	mean	mean	VERB
bracis-28370	74	30	squared	square	VERB
bracis-28370	74	31	error	error	NOUN
bracis-28370	74	32	(	(	PUNCT
bracis-28370	74	33	rmse	rmse	NOUN
bracis-28370	74	34	)	)	PUNCT
bracis-28370	74	35	.	.	PUNCT
bracis-28370	75	1	the	the	DET
bracis-28370	75	2	fidelity	fidelity	PROPN
bracis-28370	75	3	and	and	CCONJ
bracis-28370	75	4	stability	stability	NOUN
bracis-28370	75	5	measures	measure	NOUN
bracis-28370	75	6	were	be	AUX
bracis-28370	75	7	originally	originally	ADV
bracis-28370	75	8	proposed	propose	VERB
bracis-28370	75	9	in	in	ADP
bracis-28370	75	10	the	the	DET
bracis-28370	75	11	context	context	NOUN
bracis-28370	75	12	of	of	ADP
bracis-28370	75	13	classification	classification	NOUN
bracis-28370	75	14	[	[	X
bracis-28370	75	15	14	14	NUM
bracis-28370	75	16	,	,	PUNCT
bracis-28370	75	17	18	18	NUM
bracis-28370	75	18	]	]	PUNCT
bracis-28370	75	19	and	and	CCONJ
bracis-28370	75	20	adapted	adapt	VERB
bracis-28370	75	21	in	in	ADP
bracis-28370	75	22	[	[	X
bracis-28370	75	23	7	7	NUM
bracis-28370	75	24	]	]	PUNCT
bracis-28370	75	25	for	for	ADP
bracis-28370	75	26	regression	regression	NOUN
bracis-28370	75	27	.	.	PUNCT
bracis-28370	76	1	the	the	DET
bracis-28370	76	2	fidelity	fidelity	PROPN
bracis-28370	76	3	metric	metric	ADJ
bracis-28370	76	4	assesses	assesse	NOUN
bracis-28370	76	5	how	how	SCONJ
bracis-28370	76	6	close	close	ADJ
bracis-28370	76	7	the	the	DET
bracis-28370	76	8	output	output	NOUN
bracis-28370	76	9	of	of	ADP
bracis-28370	76	10	the	the	DET
bracis-28370	76	11	chosen	choose	VERB
bracis-28370	76	12	prototypes	prototype	NOUN
bracis-28370	76	13	is	be	AUX
bracis-28370	76	14	from	from	ADP
bracis-28370	76	15	the	the	DET
bracis-28370	76	16	output	output	NOUN
bracis-28370	76	17	of	of	ADP
bracis-28370	76	18	the	the	DET
bracis-28370	76	19	instances	instance	NOUN
bracis-28370	76	20	to	to	PART
bracis-28370	76	21	be	be	AUX
bracis-28370	76	22	explained	explain	VERB
bracis-28370	76	23	,	,	PUNCT
bracis-28370	76	24	and	and	CCONJ
bracis-28370	76	25	is	be	AUX
bracis-28370	76	26	defined	define	VERB
bracis-28370	76	27	in	in	ADP
bracis-28370	76	28	eq	eq	PROPN
bracis-28370	76	29	.	.	PUNCT
bracis-28370	76	30	 	 	SPACE
bracis-28370	76	31	1	1	NUM
bracis-28370	76	32	.	.	PUNCT
bracis-28370	76	33	$	$	SYM
bracis-28370	76	34	$	$	SYM
bracis-28370	76	35	\begin{aligned	\begin{aligne	VERB
bracis-28370	76	36	}	}	PUNCT
bracis-28370	76	37	\overline{gf}(f	\overline{gf}(f	NUM
bracis-28370	76	38	,	,	PUNCT
bracis-28370	76	39	pr_t	pr_t	PROPN
bracis-28370	76	40	,	,	PUNCT
bracis-28370	76	41	t	t	PROPN
bracis-28370	76	42	)	)	PUNCT
bracis-28370	76	43	=	=	PUNCT
bracis-28370	77	1	median_{\forall	median_{\forall	PRON
bracis-28370	77	2	t	t	X
bracis-28370	77	3	\in	\in	PROPN
bracis-28370	77	4	t}(lf(f(t	t}(lf(f(t	NUM
bracis-28370	77	5	)	)	PUNCT
bracis-28370	77	6	,	,	PUNCT
bracis-28370	77	7	pr(t	pr(t	NOUN
bracis-28370	77	8	)	)	PUNCT
bracis-28370	77	9	)	)	PUNCT
bracis-28370	77	10	)	)	PUNCT
bracis-28370	78	1	\end{aligned}$$	\end{aligned}$$	X
bracis-28370	78	2	(	(	PUNCT
bracis-28370	78	3	1	1	NUM
bracis-28370	78	4	)	)	PUNCT
bracis-28370	78	5	$	$	SYM
bracis-28370	78	6	$	$	SYM
bracis-28370	78	7	\begin{aligned	\begin{aligne	VERB
bracis-28370	78	8	}	}	PUNCT
bracis-28370	78	9	lf(f(t'),pr(t	lf(f(t'),pr(t	NOUN
bracis-28370	78	10	'	'	PUNCT
bracis-28370	78	11	)	)	PUNCT
bracis-28370	78	12	)	)	PUNCT
bracis-28370	79	1	=	=	SYM
bracis-28370	79	2	dist(y_i	dist(y_i	PROPN
bracis-28370	79	3	,	,	PUNCT
bracis-28370	79	4	y_j	y_j	NUM
bracis-28370	79	5	)	)	PUNCT
bracis-28370	79	6	=	=	SYM
bracis-28370	79	7	(	(	PUNCT
bracis-28370	79	8	y_i	y_i	NUM
bracis-28370	79	9	y_j)^2	y_j)^2	X
bracis-28370	79	10	\end{aligned}$$	\end{aligned}$$	X
bracis-28370	79	11	(	(	PUNCT
bracis-28370	79	12	2	2	NUM
bracis-28370	79	13	)	)	PUNCT
bracis-28370	79	14	the	the	DET
bracis-28370	79	15	second	second	ADJ
bracis-28370	79	16	metric	metric	ADJ
bracis-28370	79	17	,	,	PUNCT
bracis-28370	79	18	global	global	ADJ
bracis-28370	79	19	stability	stability	NOUN
bracis-28370	79	20	,	,	PUNCT
bracis-28370	79	21	measures	measure	NOUN
bracis-28370	79	22	whether	whether	SCONJ
bracis-28370	79	23	the	the	DET
bracis-28370	79	24	characteristics	characteristic	NOUN
bracis-28370	79	25	of	of	ADP
bracis-28370	79	26	the	the	DET
bracis-28370	79	27	prototypes	prototype	NOUN
bracis-28370	79	28	are	be	AUX
bracis-28370	79	29	similar	similar	ADJ
bracis-28370	79	30	to	to	ADP
bracis-28370	79	31	the	the	DET
bracis-28370	79	32	characteristics	characteristic	NOUN
bracis-28370	79	33	of	of	ADP
bracis-28370	79	34	the	the	DET
bracis-28370	79	35	instances	instance	NOUN
bracis-28370	79	36	to	to	PART
bracis-28370	79	37	be	be	AUX
bracis-28370	79	38	explained	explain	VERB
bracis-28370	79	39	,	,	PUNCT
bracis-28370	79	40	as	as	SCONJ
bracis-28370	79	41	defined	define	VERB
bracis-28370	79	42	in	in	ADP
bracis-28370	79	43	eq	eq	PROPN
bracis-28370	79	44	.	.	PUNCT
bracis-28370	79	45	 	 	SPACE
bracis-28370	80	1	3	3	NUM
bracis-28370	80	2	.	.	NOUN
bracis-28370	80	3	$	$	SYM
bracis-28370	80	4	$	$	SYM
bracis-28370	80	5	\begin{aligned	\begin{aligne	VERB
bracis-28370	80	6	}	}	PUNCT
bracis-28370	80	7	\overline{gs}(t	\overline{gs}(t	NUM
bracis-28370	80	8	,	,	PUNCT
bracis-28370	80	9	pr_t	pr_t	PROPN
bracis-28370	80	10	)	)	PUNCT
bracis-28370	80	11	=	=	PUNCT
bracis-28370	81	1	median_{\forall	median_{\forall	PRON
bracis-28370	81	2	t	t	PROPN
bracis-28370	81	3	\in	\in	PROPN
bracis-28370	81	4	t}(ls(t	t}(ls(t	PROPN
bracis-28370	81	5	,	,	PUNCT
bracis-28370	81	6	pr_{t	pr_{t	NOUN
bracis-28370	81	7	}	}	PUNCT
bracis-28370	81	8	)	)	PUNCT
bracis-28370	81	9	)	)	PUNCT
bracis-28370	81	10	\end{aligned}$$	\end{aligned}$$	PROPN
bracis-28370	81	11	(	(	PUNCT
bracis-28370	81	12	3	3	NUM
bracis-28370	81	13	)	)	PUNCT
bracis-28370	81	14	$	$	SYM
bracis-28370	81	15	$	$	SYM
bracis-28370	81	16	\begin{aligned	\begin{aligne	VERB
bracis-28370	81	17	}	}	PUNCT
bracis-28370	81	18	ls(x_i	ls(x_i	PROPN
bracis-28370	81	19	,	,	PUNCT
bracis-28370	81	20	x_j	x_j	NUM
bracis-28370	81	21	)	)	PUNCT
bracis-28370	81	22	=	=	SYM
bracis-28370	81	23	dist_{mink}(x_i	dist_{mink}(x_i	PROPN
bracis-28370	81	24	,	,	PUNCT
bracis-28370	81	25	x_j	x_j	NUM
bracis-28370	81	26	)	)	PUNCT
bracis-28370	81	27	=	=	SYM
bracis-28370	82	1	(	(	PUNCT
bracis-28370	82	2	\sum	\sum	NOUN
bracis-28370	82	3	\nolimits	\nolimit	VERB
bracis-28370	82	4	_	_	PUNCT
bracis-28370	82	5	{	{	PUNCT
bracis-28370	82	6	a=1}^{d	a=1}^{d	NOUN
bracis-28370	82	7	}	}	PUNCT
bracis-28370	82	8	|{x_i}_a	|{x_i}_a	PROPN
bracis-28370	82	9	{	{	PUNCT
bracis-28370	82	10	x_j}_a|^{0.3})^{1/{0.3	x_j}_a|^{0.3})^{1/{0.3	X
bracis-28370	82	11	}	}	PUNCT
bracis-28370	82	12	}	}	PUNCT
bracis-28370	82	13	\end{aligned}$$	\end{aligned}$$	X
bracis-28370	82	14	(	(	PUNCT
bracis-28370	82	15	4	4	NUM
bracis-28370	82	16	)	)	PUNCT
bracis-28370	82	17	where	where	SCONJ
bracis-28370	82	18	\(x_i\	\(x_i\	NOUN
bracis-28370	82	19	)	)	PUNCT
bracis-28370	82	20	and	and	CCONJ
bracis-28370	82	21	\(x_j\	\(x_j\	PROPN
bracis-28370	82	22	)	)	PUNCT
bracis-28370	82	23	are	be	AUX
bracis-28370	82	24	the	the	DET
bracis-28370	82	25	features	feature	NOUN
bracis-28370	82	26	of	of	ADP
bracis-28370	82	27	instances	instance	NOUN
bracis-28370	82	28	to	to	PART
bracis-28370	82	29	be	be	AUX
bracis-28370	82	30	compared	compare	VERB
bracis-28370	82	31	,	,	PUNCT
bracis-28370	82	32	d	d	X
bracis-28370	82	33	is	be	AUX
bracis-28370	82	34	the	the	DET
bracis-28370	82	35	number	number	NOUN
bracis-28370	82	36	of	of	ADP
bracis-28370	82	37	dimensions	dimension	NOUN
bracis-28370	82	38	,	,	PUNCT
bracis-28370	82	39	and	and	CCONJ
bracis-28370	82	40	\(dist_{mink}\	\(dist_{mink}\	PRON
bracis-28370	82	41	)	)	PUNCT
bracis-28370	82	42	is	be	AUX
bracis-28370	82	43	the	the	DET
bracis-28370	82	44	minkowski	minkowski	ADJ
bracis-28370	82	45	distance	distance	NOUN
bracis-28370	82	46	.	.	PUNCT
bracis-28370	83	1	in	in	ADP
bracis-28370	83	2	addition	addition	NOUN
bracis-28370	83	3	,	,	PUNCT
bracis-28370	83	4	\(\overline{gs}\	\(\overline{gs}\	PROPN
bracis-28370	83	5	)	)	PUNCT
bracis-28370	83	6	and	and	CCONJ
bracis-28370	83	7	\(\overline{gf}\	\(\overline{gf}\	NOUN
bracis-28370	83	8	)	)	PUNCT
bracis-28370	83	9	are	be	AUX
bracis-28370	83	10	normalized	normalize	VERB
bracis-28370	83	11	using	use	VERB
bracis-28370	83	12	min	min	PROPN
bracis-28370	83	13	-	-	PUNCT
bracis-28370	83	14	max	max	NOUN
bracis-28370	83	15	.	.	PUNCT
bracis-28370	84	1	in	in	ADP
bracis-28370	84	2	m	m	NOUN
bracis-28370	84	3	-	-	NOUN
bracis-28370	84	4	peer	peer	NOUN
bracis-28370	84	5	,	,	PUNCT
bracis-28370	84	6	the	the	DET
bracis-28370	84	7	authors	author	NOUN
bracis-28370	84	8	observed	observe	VERB
bracis-28370	84	9	that	that	SCONJ
bracis-28370	84	10	the	the	DET
bracis-28370	84	11	obtained	obtain	VERB
bracis-28370	84	12	results	result	NOUN
bracis-28370	84	13	were	be	AUX
bracis-28370	84	14	better	well	ADJ
bracis-28370	84	15	when	when	SCONJ
bracis-28370	84	16	the	the	DET
bracis-28370	84	17	\(\overline{gs}\	\(\overline{gs}\	PROPN
bracis-28370	84	18	)	)	PUNCT
bracis-28370	84	19	and	and	CCONJ
bracis-28370	84	20	\(\overline{gf}\	\(\overline{gf}\	NOUN
bracis-28370	84	21	)	)	PUNCT
bracis-28370	84	22	metrics	metric	NOUN
bracis-28370	84	23	are	be	AUX
bracis-28370	84	24	used	use	VERB
bracis-28370	84	25	together	together	ADV
bracis-28370	84	26	through	through	ADP
bracis-28370	84	27	the	the	DET
bracis-28370	84	28	gfs	gfs	NOUN
bracis-28370	84	29	combination	combination	NOUN
bracis-28370	84	30	,	,	PUNCT
bracis-28370	84	31	shown	show	VERB
bracis-28370	84	32	in	in	ADP
bracis-28370	84	33	eq	eq	PROPN
bracis-28370	84	34	.	.	PUNCT
bracis-28370	84	35	 	 	SPACE
bracis-28370	84	36	5	5	NUM
bracis-28370	84	37	.	.	PUNCT
bracis-28370	84	38	by	by	ADP
bracis-28370	84	39	using	use	VERB
bracis-28370	84	40	gfs	gfs	NOUN
bracis-28370	84	41	we	we	PRON
bracis-28370	84	42	make	make	VERB
bracis-28370	84	43	the	the	DET
bracis-28370	84	44	similarity	similarity	NOUN
bracis-28370	84	45	take	take	VERB
bracis-28370	84	46	into	into	ADP
bracis-28370	84	47	account	account	NOUN
bracis-28370	84	48	both	both	DET
bracis-28370	84	49	the	the	DET
bracis-28370	84	50	features	feature	NOUN
bracis-28370	84	51	of	of	ADP
bracis-28370	84	52	the	the	DET
bracis-28370	84	53	instance	instance	NOUN
bracis-28370	84	54	and	and	CCONJ
bracis-28370	84	55	the	the	DET
bracis-28370	84	56	output	output	NOUN
bracis-28370	84	57	predicted	predict	VERB
bracis-28370	84	58	by	by	ADP
bracis-28370	84	59	the	the	DET
bracis-28370	84	60	model	model	NOUN
bracis-28370	84	61	.	.	PUNCT
bracis-28370	85	1	$	$	SYM
bracis-28370	85	2	$	$	SYM
bracis-28370	85	3	\begin{aligned	\begin{aligne	VERB
bracis-28370	85	4	}	}	PUNCT
bracis-28370	85	5	gfs(f	gfs(f	PROPN
bracis-28370	85	6	,	,	PUNCT
bracis-28370	85	7	pr_t',t')=	pr_t',t')=	PROPN
bracis-28370	85	8	\sqrt	\sqrt	PROPN
bracis-28370	85	9	{	{	PUNCT
bracis-28370	85	10	\left	\left	PROPN
bracis-28370	85	11	[	[	PUNCT
bracis-28370	85	12	{	{	PUNCT
bracis-28370	85	13	\frac{1}{\log	\frac{1}{\log	X
bracis-28370	85	14	(	(	PUNCT
bracis-28370	85	15	\overline{gf}(f	\overline{gf}(f	PROPN
bracis-28370	85	16	,	,	PUNCT
bracis-28370	85	17	pr_t',t	pr_t',t	PROPN
bracis-28370	85	18	'	'	PUNCT
bracis-28370	85	19	)	)	PUNCT
bracis-28370	85	20	)	)	PUNCT
bracis-28370	85	21	}	}	PUNCT
bracis-28370	85	22	}	}	PUNCT
bracis-28370	86	1	\right	\right	ADP
bracis-28370	86	2	]	]	PUNCT
bracis-28370	86	3	^2	^2	PUNCT
bracis-28370	86	4	+	+	CCONJ
bracis-28370	86	5	\left	\left	PROPN
bracis-28370	86	6	[	[	PUNCT
bracis-28370	86	7	{	{	PUNCT
bracis-28370	86	8	\frac{1}{\log	\frac{1}{\log	X
bracis-28370	86	9	(	(	PUNCT
bracis-28370	86	10	\overline{gs}(t',pr_t	\overline{gs}(t',pr_t	PROPN
bracis-28370	86	11	'	'	PUNCT
bracis-28370	86	12	)	)	PUNCT
bracis-28370	86	13	)	)	PUNCT
bracis-28370	86	14	}	}	PUNCT
bracis-28370	86	15	}	}	PUNCT
bracis-28370	86	16	\right	\right	ADP
bracis-28370	86	17	]	]	PUNCT
bracis-28370	86	18	^2	^2	NUM
bracis-28370	86	19	}	}	PUNCT
bracis-28370	86	20	\end{aligned}$$	\end{aligned}$$	X
bracis-28370	86	21	(	(	PUNCT
bracis-28370	86	22	5	5	NUM
bracis-28370	86	23	)	)	PUNCT
bracis-28370	86	24	finally	finally	ADV
bracis-28370	86	25	,	,	PUNCT
bracis-28370	86	26	the	the	DET
bracis-28370	86	27	error	error	NOUN
bracis-28370	86	28	is	be	AUX
bracis-28370	86	29	used	use	VERB
bracis-28370	86	30	to	to	PART
bracis-28370	86	31	ensure	ensure	VERB
bracis-28370	86	32	that	that	SCONJ
bracis-28370	86	33	the	the	DET
bracis-28370	86	34	selected	select	VERB
bracis-28370	86	35	set	set	NOUN
bracis-28370	86	36	of	of	ADP
bracis-28370	86	37	prototypes	prototype	NOUN
bracis-28370	86	38	is	be	AUX
bracis-28370	86	39	as	as	ADV
bracis-28370	86	40	close	close	ADJ
bracis-28370	86	41	as	as	ADP
bracis-28370	86	42	possible	possible	ADJ
bracis-28370	86	43	to	to	ADP
bracis-28370	86	44	the	the	DET
bracis-28370	86	45	error	error	NOUN
bracis-28370	86	46	of	of	ADP
bracis-28370	86	47	the	the	DET
bracis-28370	86	48	black	black	ADJ
bracis-28370	86	49	-	-	PUNCT
bracis-28370	86	50	box	box	NOUN
bracis-28370	86	51	model	model	NOUN
bracis-28370	86	52	.	.	PUNCT
bracis-28370	87	1	3.2	3.2	NUM
bracis-28370	87	2	feature	feature	NOUN
bracis-28370	87	3	importance	importance	NOUN
bracis-28370	87	4	after	after	ADP
bracis-28370	87	5	selecting	select	VERB
bracis-28370	87	6	the	the	DET
bracis-28370	87	7	prototypes	prototype	NOUN
bracis-28370	87	8	,	,	PUNCT
bracis-28370	87	9	we	we	PRON
bracis-28370	87	10	want	want	VERB
bracis-28370	87	11	to	to	PART
bracis-28370	87	12	obtain	obtain	VERB
bracis-28370	87	13	a	a	DET
bracis-28370	87	14	feature	feature	NOUN
bracis-28370	87	15	-	-	PUNCT
bracis-28370	87	16	based	base	VERB
bracis-28370	87	17	explanation	explanation	NOUN
bracis-28370	87	18	showing	show	VERB
bracis-28370	87	19	what	what	PRON
bracis-28370	87	20	motivated	motivate	VERB
bracis-28370	87	21	the	the	DET
bracis-28370	87	22	output	output	NOUN
bracis-28370	87	23	obtained	obtain	VERB
bracis-28370	87	24	for	for	ADP
bracis-28370	87	25	the	the	DET
bracis-28370	87	26	specific	specific	ADJ
bracis-28370	87	27	instance	instance	NOUN
bracis-28370	87	28	.	.	PUNCT
bracis-28370	88	1	for	for	ADP
bracis-28370	88	2	this	this	PRON
bracis-28370	88	3	,	,	PUNCT
bracis-28370	88	4	we	we	PRON
bracis-28370	88	5	use	use	VERB
bracis-28370	88	6	the	the	DET
bracis-28370	88	7	dela	dela	PROPN
bracis-28370	88	8	explanation	explanation	NOUN
bracis-28370	88	9	method	method	NOUN
bracis-28370	88	10	.	.	PUNCT
bracis-28370	89	1	dela	dela	PROPN
bracis-28370	89	2	is	be	AUX
bracis-28370	89	3	an	an	DET
bracis-28370	89	4	improvement	improvement	NOUN
bracis-28370	89	5	on	on	ADP
bracis-28370	89	6	the	the	DET
bracis-28370	89	7	work	work	NOUN
bracis-28370	89	8	presented	present	VERB
bracis-28370	89	9	by	by	ADP
bracis-28370	89	10	ela	ela	PROPN
bracis-28370	89	11	(	(	PUNCT
bracis-28370	89	12	explanation	explanation	NOUN
bracis-28370	89	13	by	by	ADP
bracis-28370	89	14	local	local	ADJ
bracis-28370	89	15	approximation	approximation	NOUN
bracis-28370	89	16	)	)	PUNCT
bracis-28370	90	1	[	[	X
bracis-28370	90	2	6	6	NUM
bracis-28370	90	3	]	]	PUNCT
bracis-28370	90	4	.	.	PUNCT
bracis-28370	91	1	by	by	ADP
bracis-28370	91	2	analyzing	analyze	VERB
bracis-28370	91	3	the	the	DET
bracis-28370	91	4	coefficients	coefficient	NOUN
bracis-28370	91	5	found	find	VERB
bracis-28370	91	6	in	in	ADP
bracis-28370	91	7	local	local	ADJ
bracis-28370	91	8	linear	linear	NOUN
bracis-28370	91	9	regressions	regression	NOUN
bracis-28370	91	10	,	,	PUNCT
bracis-28370	91	11	this	this	DET
bracis-28370	91	12	method	method	NOUN
bracis-28370	91	13	provides	provide	VERB
bracis-28370	91	14	a	a	DET
bracis-28370	91	15	global	global	ADJ
bracis-28370	91	16	explanation	explanation	NOUN
bracis-28370	91	17	of	of	ADP
bracis-28370	91	18	the	the	DET
bracis-28370	91	19	model	model	NOUN
bracis-28370	91	20	,	,	PUNCT
bracis-28370	91	21	using	use	VERB
bracis-28370	91	22	a	a	DET
bracis-28370	91	23	stacked	stacked	ADJ
bracis-28370	91	24	area	area	NOUN
bracis-28370	91	25	chart	chart	NOUN
bracis-28370	91	26	where	where	SCONJ
bracis-28370	91	27	the	the	DET
bracis-28370	91	28	user	user	NOUN
bracis-28370	91	29	can	can	AUX
bracis-28370	91	30	check	check	VERB
bracis-28370	91	31	the	the	DET
bracis-28370	91	32	feature	feature	NOUN
bracis-28370	91	33	importance	importance	NOUN
bracis-28370	91	34	for	for	ADP
bracis-28370	91	35	different	different	ADJ
bracis-28370	91	36	output	output	NOUN
bracis-28370	91	37	values	value	NOUN
bracis-28370	91	38	,	,	PUNCT
bracis-28370	91	39	and	and	CCONJ
bracis-28370	91	40	also	also	ADV
bracis-28370	91	41	provides	provide	VERB
bracis-28370	91	42	local	local	ADJ
bracis-28370	91	43	explanations	explanation	NOUN
bracis-28370	91	44	for	for	ADP
bracis-28370	91	45	specific	specific	ADJ
bracis-28370	91	46	instances	instance	NOUN
bracis-28370	91	47	through	through	ADP
bracis-28370	91	48	the	the	DET
bracis-28370	91	49	local	local	ADJ
bracis-28370	91	50	importance	importance	NOUN
bracis-28370	91	51	of	of	ADP
bracis-28370	91	52	the	the	DET
bracis-28370	91	53	features	feature	NOUN
bracis-28370	91	54	,	,	PUNCT
bracis-28370	91	55	expected	expect	VERB
bracis-28370	91	56	value	value	NOUN
bracis-28370	91	57	ranges	range	NOUN
bracis-28370	91	58	,	,	PUNCT
bracis-28370	91	59	and	and	CCONJ
bracis-28370	91	60	the	the	DET
bracis-28370	91	61	coefficients	coefficient	NOUN
bracis-28370	91	62	of	of	ADP
bracis-28370	91	63	the	the	DET
bracis-28370	91	64	local	local	ADJ
bracis-28370	91	65	explanation	explanation	NOUN
bracis-28370	91	66	.	.	PUNCT
bracis-28370	92	1	additionally	additionally	ADV
bracis-28370	92	2	,	,	PUNCT
bracis-28370	92	3	dela	dela	PROPN
bracis-28370	92	4	considers	consider	VERB
bracis-28370	92	5	the	the	DET
bracis-28370	92	6	characteristics	characteristic	NOUN
bracis-28370	92	7	of	of	ADP
bracis-28370	92	8	the	the	DET
bracis-28370	92	9	data	data	NOUN
bracis-28370	92	10	sets	set	NOUN
bracis-28370	92	11	used	use	VERB
bracis-28370	92	12	in	in	ADP
bracis-28370	92	13	the	the	DET
bracis-28370	92	14	model	model	NOUN
bracis-28370	92	15	training	training	NOUN
bracis-28370	92	16	stage	stage	NOUN
bracis-28370	92	17	,	,	PUNCT
bracis-28370	92	18	chooses	choose	VERB
bracis-28370	92	19	the	the	DET
bracis-28370	92	20	most	most	ADV
bracis-28370	92	21	appropriate	appropriate	ADJ
bracis-28370	92	22	distance	distance	NOUN
bracis-28370	92	23	measure	measure	NOUN
bracis-28370	92	24	to	to	PART
bracis-28370	92	25	be	be	AUX
bracis-28370	92	26	used	use	VERB
bracis-28370	92	27	,	,	PUNCT
bracis-28370	92	28	dynamically	dynamically	ADV
bracis-28370	92	29	defines	define	VERB
bracis-28370	92	30	the	the	DET
bracis-28370	92	31	number	number	NOUN
bracis-28370	92	32	of	of	ADP
bracis-28370	92	33	neighbors	neighbor	NOUN
bracis-28370	92	34	that	that	PRON
bracis-28370	92	35	will	will	AUX
bracis-28370	92	36	be	be	AUX
bracis-28370	92	37	used	use	VERB
bracis-28370	92	38	for	for	ADP
bracis-28370	92	39	local	local	ADJ
bracis-28370	92	40	explanation	explanation	NOUN
bracis-28370	92	41	according	accord	VERB
bracis-28370	92	42	to	to	ADP
bracis-28370	92	43	the	the	DET
bracis-28370	92	44	local	local	ADJ
bracis-28370	92	45	data	datum	NOUN
bracis-28370	92	46	density	density	NOUN
bracis-28370	92	47	,	,	PUNCT
bracis-28370	92	48	and	and	CCONJ
bracis-28370	92	49	calculates	calculate	VERB
bracis-28370	92	50	feature	feature	NOUN
bracis-28370	92	51	importance	importance	NOUN
bracis-28370	92	52	based	base	VERB
bracis-28370	92	53	on	on	ADP
bracis-28370	92	54	the	the	DET
bracis-28370	92	55	location	location	NOUN
bracis-28370	92	56	of	of	ADP
bracis-28370	92	57	the	the	DET
bracis-28370	92	58	test	test	NOUN
bracis-28370	92	59	instance	instance	NOUN
bracis-28370	92	60	.	.	PUNCT
bracis-28370	93	1	dela	dela	PROPN
bracis-28370	93	2	calculates	calculate	VERB
bracis-28370	93	3	the	the	DET
bracis-28370	93	4	most	most	ADV
bracis-28370	93	5	relevant	relevant	ADJ
bracis-28370	93	6	features	feature	NOUN
bracis-28370	93	7	of	of	ADP
bracis-28370	93	8	a	a	DET
bracis-28370	93	9	prototype	prototype	NOUN
bracis-28370	93	10	using	use	VERB
bracis-28370	93	11	eq	eq	PROPN
bracis-28370	93	12	.	.	PUNCT
bracis-28370	93	13	 	 	SPACE
bracis-28370	93	14	6	6	NUM
bracis-28370	93	15	:	:	PUNCT
bracis-28370	93	16	$	$	SYM
bracis-28370	93	17	$	$	SYM
bracis-28370	93	18	\begin{aligned	\begin{aligne	VERB
bracis-28370	93	19	}	}	PUNCT
bracis-28370	93	20	importance_{x_i	importance_{x_i	ADJ
bracis-28370	93	21	}	}	PUNCT
bracis-28370	93	22	=	=	PUNCT
bracis-28370	93	23	\frac{|levelimportance_i	\frac{|levelimportance_i	ADJ
bracis-28370	93	24	|\times	|\time	NOUN
bracis-28370	93	25	100}{\sum	100}{\sum	NUM
bracis-28370	93	26	_	_	PUNCT
bracis-28370	93	27	{	{	PUNCT
bracis-28370	93	28	a=1}^{d	a=1}^{d	NOUN
bracis-28370	93	29	}	}	PUNCT
bracis-28370	93	30	|levelimportance_a	|levelimportance_a	NOUN
bracis-28370	93	31	|	|	NOUN
bracis-28370	93	32	}	}	PUNCT
bracis-28370	93	33	\end{aligned}$$	\end{aligned}$$	X
bracis-28370	93	34	(	(	PUNCT
bracis-28370	93	35	6	6	NUM
bracis-28370	93	36	)	)	PUNCT
bracis-28370	93	37	\(levelimportance_i\	\(levelimportance_i\	NOUN
bracis-28370	93	38	)	)	PUNCT
bracis-28370	93	39	is	be	AUX
bracis-28370	93	40	defined	define	VERB
bracis-28370	93	41	as	as	ADP
bracis-28370	93	42	:	:	PUNCT
bracis-28370	93	43	$	$	SYM
bracis-28370	93	44	$	$	SYM
bracis-28370	93	45	\begin{aligned	\begin{aligne	VERB
bracis-28370	93	46	}	}	PUNCT
bracis-28370	93	47	levelimportance_i	levelimportance_i	NOUN
bracis-28370	93	48	=	=	SYM
bracis-28370	94	1	b_i	b_i	PROPN
bracis-28370	94	2	\times	\times	ADP
bracis-28370	94	3	mean(v_i	mean(v_i	PROPN
bracis-28370	94	4	)	)	PUNCT
bracis-28370	94	5	\end{aligned}$$	\end{aligned}$$	X
bracis-28370	94	6	(	(	PUNCT
bracis-28370	94	7	7	7	NUM
bracis-28370	94	8	)	)	PUNCT
bracis-28370	94	9	where	where	SCONJ
bracis-28370	94	10	\(b_i\	\(b_i\	NOUN
bracis-28370	94	11	)	)	PUNCT
bracis-28370	94	12	is	be	AUX
bracis-28370	94	13	the	the	DET
bracis-28370	94	14	coefficient	coefficient	NOUN
bracis-28370	94	15	returned	return	VERB
bracis-28370	94	16	for	for	ADP
bracis-28370	94	17	feature	feature	NOUN
bracis-28370	94	18	i	i	PRON
bracis-28370	94	19	and	and	CCONJ
bracis-28370	94	20	\(v_i\	\(v_i\	NOUN
bracis-28370	94	21	)	)	PUNCT
bracis-28370	94	22	the	the	DET
bracis-28370	94	23	vector	vector	NOUN
bracis-28370	94	24	of	of	ADP
bracis-28370	94	25	values	value	NOUN
bracis-28370	94	26	found	find	VERB
bracis-28370	94	27	in	in	ADP
bracis-28370	94	28	the	the	DET
bracis-28370	94	29	neighboring	neighboring	NOUN
bracis-28370	94	30	examples	example	NOUN
bracis-28370	94	31	(	(	PUNCT
bracis-28370	94	32	set	set	VERB
bracis-28370	94	33	of	of	ADP
bracis-28370	94	34	closest	close	ADJ
bracis-28370	94	35	instances	instance	NOUN
bracis-28370	94	36	)	)	PUNCT
bracis-28370	94	37	for	for	ADP
bracis-28370	94	38	feature	feature	NOUN
bracis-28370	94	39	i	i	PRON
bracis-28370	94	40	and	and	CCONJ
bracis-28370	94	41	the	the	DET
bracis-28370	94	42	minimum	minimum	ADJ
bracis-28370	94	43	and	and	CCONJ
bracis-28370	94	44	maximum	maximum	ADJ
bracis-28370	94	45	values	value	NOUN
bracis-28370	94	46	of	of	ADP
bracis-28370	94	47	each	each	DET
bracis-28370	94	48	feature	feature	NOUN
bracis-28370	94	49	,	,	PUNCT
bracis-28370	94	50	extracted	extract	VERB
bracis-28370	94	51	considering	consider	VERB
bracis-28370	94	52	the	the	DET
bracis-28370	94	53	prototype	prototype	NOUN
bracis-28370	94	54	and	and	CCONJ
bracis-28370	94	55	the	the	DET
bracis-28370	94	56	instances	instance	NOUN
bracis-28370	94	57	in	in	ADP
bracis-28370	94	58	its	its	PRON
bracis-28370	94	59	subgroup	subgroup	NOUN
bracis-28370	94	60	.	.	PUNCT
bracis-28370	95	1	3.3	3.3	NUM
bracis-28370	95	2	algorithm	algorithm	NOUN
bracis-28370	95	3	the	the	DET
bracis-28370	95	4	method	method	NOUN
bracis-28370	95	5	is	be	AUX
bracis-28370	95	6	illustrated	illustrate	VERB
bracis-28370	95	7	in	in	ADP
bracis-28370	95	8	algorithm	algorithm	NOUN
bracis-28370	95	9	 	 	SPACE
bracis-28370	95	10	1	1	NUM
bracis-28370	95	11	.	.	PUNCT
bracis-28370	96	1	it	it	PRON
bracis-28370	96	2	receives	receive	VERB
bracis-28370	96	3	as	as	ADP
bracis-28370	96	4	input	input	NOUN
bracis-28370	96	5	the	the	DET
bracis-28370	96	6	training	training	NOUN
bracis-28370	96	7	(	(	PUNCT
bracis-28370	96	8	t	t	NOUN
bracis-28370	96	9	)	)	PUNCT
bracis-28370	96	10	and	and	CCONJ
bracis-28370	96	11	test	test	NOUN
bracis-28370	96	12	(	(	PUNCT
bracis-28370	96	13	\(t'\	\(t'\	PROPN
bracis-28370	96	14	)	)	PUNCT
bracis-28370	96	15	)	)	PUNCT
bracis-28370	96	16	sets	set	NOUN
bracis-28370	96	17	,	,	PUNCT
bracis-28370	96	18	together	together	ADV
bracis-28370	96	19	with	with	ADP
bracis-28370	96	20	the	the	DET
bracis-28370	96	21	height	height	NOUN
bracis-28370	96	22	h	h	NOUN
bracis-28370	96	23	of	of	ADP
bracis-28370	96	24	the	the	DET
bracis-28370	96	25	explanation	explanation	NOUN
bracis-28370	96	26	tree	tree	NOUN
bracis-28370	96	27	to	to	PART
bracis-28370	96	28	be	be	AUX
bracis-28370	96	29	built	build	VERB
bracis-28370	96	30	and	and	CCONJ
bracis-28370	96	31	the	the	DET
bracis-28370	96	32	number	number	NOUN
bracis-28370	96	33	r	r	NOUN
bracis-28370	96	34	of	of	ADP
bracis-28370	96	35	root	root	NOUN
bracis-28370	96	36	nodes	node	NOUN
bracis-28370	96	37	present	present	ADJ
bracis-28370	96	38	in	in	ADP
bracis-28370	96	39	the	the	DET
bracis-28370	96	40	tree	tree	NOUN
bracis-28370	96	41	,	,	PUNCT
bracis-28370	96	42	where	where	SCONJ
bracis-28370	96	43	the	the	DET
bracis-28370	96	44	root	root	NOUN
bracis-28370	96	45	nodes	node	NOUN
bracis-28370	96	46	represent	represent	VERB
bracis-28370	96	47	the	the	DET
bracis-28370	96	48	global	global	ADJ
bracis-28370	96	49	explanations	explanation	NOUN
bracis-28370	96	50	of	of	ADP
bracis-28370	96	51	the	the	DET
bracis-28370	96	52	model	model	NOUN
bracis-28370	96	53	.	.	PUNCT
bracis-28370	97	1	algorithm	algorithm	PROPN
bracis-28370	97	2	1	1	NUM
bracis-28370	97	3	.	.	PUNCT
bracis-28370	98	1	hybrid	hybrid	ADJ
bracis-28370	98	2	multilevel	multilevel	NOUN
bracis-28370	98	3	explanation	explanation	NOUN
bracis-28370	98	4	(	(	PUNCT
bracis-28370	98	5	humie	humie	NOUN
bracis-28370	98	6	)	)	PUNCT
bracis-28370	98	7	full	full	ADJ
bracis-28370	98	8	size	size	NOUN
bracis-28370	98	9	image	image	NOUN
bracis-28370	98	10	in	in	ADP
bracis-28370	98	11	line	line	NOUN
bracis-28370	98	12	1	1	NUM
bracis-28370	98	13	,	,	PUNCT
bracis-28370	98	14	we	we	PRON
bracis-28370	98	15	create	create	VERB
bracis-28370	98	16	the	the	DET
bracis-28370	98	17	regression	regression	NOUN
bracis-28370	98	18	model	model	NOUN
bracis-28370	98	19	to	to	PART
bracis-28370	98	20	be	be	AUX
bracis-28370	98	21	explained	explain	VERB
bracis-28370	98	22	.	.	PUNCT
bracis-28370	99	1	note	note	VERB
bracis-28370	99	2	that	that	SCONJ
bracis-28370	99	3	humie	humie	PROPN
bracis-28370	99	4	is	be	AUX
bracis-28370	99	5	model	model	NOUN
bracis-28370	99	6	agnostic	agnostic	ADJ
bracis-28370	99	7	,	,	PUNCT
bracis-28370	99	8	meaning	mean	VERB
bracis-28370	99	9	that	that	SCONJ
bracis-28370	99	10	it	it	PRON
bracis-28370	99	11	has	have	VERB
bracis-28370	99	12	the	the	DET
bracis-28370	99	13	ability	ability	NOUN
bracis-28370	99	14	to	to	PART
bracis-28370	99	15	explain	explain	VERB
bracis-28370	99	16	any	any	DET
bracis-28370	99	17	regression	regression	NOUN
bracis-28370	99	18	model	model	NOUN
bracis-28370	99	19	.	.	PUNCT
bracis-28370	100	1	to	to	PART
bracis-28370	100	2	ensure	ensure	VERB
bracis-28370	100	3	semantically	semantically	ADV
bracis-28370	100	4	valid	valid	ADJ
bracis-28370	100	5	results	result	NOUN
bracis-28370	100	6	,	,	PUNCT
bracis-28370	100	7	humie	humie	PROPN
bracis-28370	100	8	works	work	VERB
bracis-28370	100	9	with	with	ADP
bracis-28370	100	10	continuous	continuous	ADJ
bracis-28370	100	11	features	feature	NOUN
bracis-28370	100	12	only	only	ADV
bracis-28370	100	13	.	.	PUNCT
bracis-28370	101	1	any	any	DET
bracis-28370	101	2	categorical	categorical	ADJ
bracis-28370	101	3	feature	feature	NOUN
bracis-28370	101	4	should	should	AUX
bracis-28370	101	5	be	be	AUX
bracis-28370	101	6	pre	pre	VERB
bracis-28370	101	7	-	-	VERB
bracis-28370	101	8	processed	process	VERB
bracis-28370	101	9	.	.	PUNCT
bracis-28370	102	1	next	next	ADV
bracis-28370	102	2	,	,	PUNCT
bracis-28370	102	3	we	we	PRON
bracis-28370	102	4	initialize	initialize	VERB
bracis-28370	102	5	some	some	DET
bracis-28370	102	6	important	important	ADJ
bracis-28370	102	7	variables	variable	NOUN
bracis-28370	102	8	for	for	ADP
bracis-28370	102	9	building	build	VERB
bracis-28370	102	10	the	the	DET
bracis-28370	102	11	multilevel	multilevel	ADJ
bracis-28370	102	12	tree	tree	NOUN
bracis-28370	102	13	.	.	PUNCT
bracis-28370	103	1	in	in	ADP
bracis-28370	103	2	line	line	NOUN
bracis-28370	103	3	2	2	NUM
bracis-28370	103	4	,	,	PUNCT
bracis-28370	103	5	the	the	DET
bracis-28370	103	6	tree	tree	NOUN
bracis-28370	103	7	is	be	AUX
bracis-28370	103	8	initialized	initialize	VERB
bracis-28370	103	9	as	as	ADP
bracis-28370	103	10	an	an	DET
bracis-28370	103	11	array	array	NOUN
bracis-28370	103	12	.	.	PUNCT
bracis-28370	104	1	this	this	DET
bracis-28370	104	2	array	array	NOUN
bracis-28370	104	3	will	will	AUX
bracis-28370	104	4	be	be	AUX
bracis-28370	104	5	filled	fill	VERB
bracis-28370	104	6	with	with	ADP
bracis-28370	104	7	tuples	tuple	NOUN
bracis-28370	104	8	containing	contain	VERB
bracis-28370	104	9	three	three	NUM
bracis-28370	104	10	pieces	piece	NOUN
bracis-28370	104	11	of	of	ADP
bracis-28370	104	12	information	information	NOUN
bracis-28370	104	13	:	:	PUNCT
bracis-28370	104	14	the	the	DET
bracis-28370	104	15	selected	select	VERB
bracis-28370	104	16	prototype	prototype	NOUN
bracis-28370	104	17	,	,	PUNCT
bracis-28370	104	18	the	the	DET
bracis-28370	104	19	prototype	prototype	NOUN
bracis-28370	104	20	’s	’s	PART
bracis-28370	104	21	depth	depth	NOUN
bracis-28370	104	22	level	level	NOUN
bracis-28370	104	23	in	in	ADP
bracis-28370	104	24	the	the	DET
bracis-28370	104	25	tree	tree	NOUN
bracis-28370	104	26	,	,	PUNCT
bracis-28370	104	27	and	and	CCONJ
bracis-28370	104	28	the	the	DET
bracis-28370	104	29	prototype	prototype	NOUN
bracis-28370	104	30	at	at	ADP
bracis-28370	104	31	the	the	DET
bracis-28370	104	32	previous	previous	ADJ
bracis-28370	104	33	level	level	NOUN
bracis-28370	104	34	(	(	PUNCT
bracis-28370	104	35	parent	parent	NOUN
bracis-28370	104	36	)	)	PUNCT
bracis-28370	104	37	of	of	ADP
bracis-28370	104	38	the	the	DET
bracis-28370	104	39	selected	select	VERB
bracis-28370	104	40	prototype	prototype	NOUN
bracis-28370	104	41	.	.	PUNCT
bracis-28370	105	1	in	in	ADP
bracis-28370	105	2	line	line	NOUN
bracis-28370	105	3	3	3	NUM
bracis-28370	105	4	,	,	PUNCT
bracis-28370	105	5	a	a	DET
bracis-28370	105	6	dictionary	dictionary	NOUN
bracis-28370	105	7	is	be	AUX
bracis-28370	105	8	initialized	initialize	VERB
bracis-28370	105	9	to	to	PART
bracis-28370	105	10	store	store	VERB
bracis-28370	105	11	,	,	PUNCT
bracis-28370	105	12	for	for	ADP
bracis-28370	105	13	each	each	DET
bracis-28370	105	14	selected	select	VERB
bracis-28370	105	15	prototype	prototype	NOUN
bracis-28370	105	16	,	,	PUNCT
bracis-28370	105	17	the	the	DET
bracis-28370	105	18	minimum	minimum	ADJ
bracis-28370	105	19	and	and	CCONJ
bracis-28370	105	20	maximum	maximum	ADJ
bracis-28370	105	21	values	value	NOUN
bracis-28370	105	22	of	of	ADP
bracis-28370	105	23	each	each	DET
bracis-28370	105	24	feature	feature	NOUN
bracis-28370	105	25	found	find	VERB
bracis-28370	105	26	in	in	ADP
bracis-28370	105	27	the	the	DET
bracis-28370	105	28	subset	subset	NOUN
bracis-28370	105	29	of	of	ADP
bracis-28370	105	30	instances	instance	NOUN
bracis-28370	105	31	from	from	ADP
bracis-28370	105	32	where	where	SCONJ
bracis-28370	105	33	the	the	DET
bracis-28370	105	34	prototype	prototype	NOUN
bracis-28370	105	35	was	be	AUX
bracis-28370	105	36	chosen	choose	VERB
bracis-28370	105	37	.	.	PUNCT
bracis-28370	106	1	this	this	DET
bracis-28370	106	2	information	information	NOUN
bracis-28370	106	3	will	will	AUX
bracis-28370	106	4	serve	serve	VERB
bracis-28370	106	5	in	in	ADP
bracis-28370	106	6	the	the	DET
bracis-28370	106	7	future	future	NOUN
bracis-28370	106	8	to	to	PART
bracis-28370	106	9	show	show	VERB
bracis-28370	106	10	the	the	DET
bracis-28370	106	11	minimum	minimum	ADJ
bracis-28370	106	12	and	and	CCONJ
bracis-28370	106	13	maximum	maximum	ADJ
bracis-28370	106	14	values	value	NOUN
bracis-28370	106	15	of	of	ADP
bracis-28370	106	16	each	each	DET
bracis-28370	106	17	feature	feature	NOUN
bracis-28370	106	18	within	within	ADP
bracis-28370	106	19	the	the	DET
bracis-28370	106	20	subset	subset	NOUN
bracis-28370	106	21	that	that	SCONJ
bracis-28370	106	22	the	the	DET
bracis-28370	106	23	prototype	prototype	NOUN
bracis-28370	106	24	will	will	AUX
bracis-28370	106	25	be	be	AUX
bracis-28370	106	26	representing	represent	VERB
bracis-28370	106	27	.	.	PUNCT
bracis-28370	107	1	in	in	ADP
bracis-28370	107	2	line	line	NOUN
bracis-28370	107	3	4	4	NUM
bracis-28370	107	4	,	,	PUNCT
bracis-28370	107	5	an	an	DET
bracis-28370	107	6	array	array	NOUN
bracis-28370	107	7	is	be	AUX
bracis-28370	107	8	initialized	initialize	VERB
bracis-28370	107	9	to	to	PART
bracis-28370	107	10	store	store	VERB
bracis-28370	107	11	the	the	DET
bracis-28370	107	12	prototypes	prototype	NOUN
bracis-28370	107	13	already	already	ADV
bracis-28370	107	14	chosen	choose	VERB
bracis-28370	107	15	during	during	ADP
bracis-28370	107	16	the	the	DET
bracis-28370	107	17	tree	tree	NOUN
bracis-28370	107	18	construction	construction	NOUN
bracis-28370	107	19	process	process	NOUN
bracis-28370	107	20	.	.	PUNCT
bracis-28370	108	1	finally	finally	ADV
bracis-28370	108	2	,	,	PUNCT
bracis-28370	108	3	on	on	ADP
bracis-28370	108	4	line	line	NOUN
bracis-28370	108	5	5	5	NUM
bracis-28370	108	6	,	,	PUNCT
bracis-28370	108	7	we	we	PRON
bracis-28370	108	8	initialize	initialize	VERB
bracis-28370	108	9	an	an	DET
bracis-28370	108	10	array	array	NOUN
bracis-28370	108	11	to	to	PART
bracis-28370	108	12	store	store	VERB
bracis-28370	108	13	the	the	DET
bracis-28370	108	14	set	set	NOUN
bracis-28370	108	15	of	of	ADP
bracis-28370	108	16	prototypes	prototype	NOUN
bracis-28370	108	17	selected	select	VERB
bracis-28370	108	18	at	at	ADP
bracis-28370	108	19	the	the	DET
bracis-28370	108	20	top	top	ADJ
bracis-28370	108	21	level	level	NOUN
bracis-28370	108	22	.	.	PUNCT
bracis-28370	109	1	as	as	SCONJ
bracis-28370	109	2	the	the	DET
bracis-28370	109	3	explainer	explainer	NOUN
bracis-28370	109	4	is	be	AUX
bracis-28370	109	5	built	build	VERB
bracis-28370	109	6	on	on	ADP
bracis-28370	109	7	a	a	DET
bracis-28370	109	8	top	top	ADJ
bracis-28370	109	9	-	-	PUNCT
bracis-28370	109	10	down	down	ADP
bracis-28370	109	11	fashion	fashion	NOUN
bracis-28370	109	12	(	(	PUNCT
bracis-28370	109	13	i.e.	i.e.	X
bracis-28370	109	14	,	,	PUNCT
bracis-28370	109	15	starting	start	VERB
bracis-28370	109	16	from	from	ADP
bracis-28370	109	17	the	the	DET
bracis-28370	109	18	root	root	NOUN
bracis-28370	109	19	level	level	NOUN
bracis-28370	109	20	)	)	PUNCT
bracis-28370	109	21	,	,	PUNCT
bracis-28370	109	22	it	it	PRON
bracis-28370	109	23	has	have	VERB
bracis-28370	109	24	no	no	DET
bracis-28370	109	25	higher	high	ADJ
bracis-28370	109	26	-	-	PUNCT
bracis-28370	109	27	level	level	NOUN
bracis-28370	109	28	prototype	prototype	NOUN
bracis-28370	109	29	,	,	PUNCT
bracis-28370	109	30	and	and	CCONJ
bracis-28370	109	31	this	this	DET
bracis-28370	109	32	variable	variable	NOUN
bracis-28370	109	33	is	be	AUX
bracis-28370	109	34	initialized	initialize	VERB
bracis-28370	109	35	with	with	ADP
bracis-28370	109	36	\(-1\	\(-1\	NOUN
bracis-28370	109	37	)	)	PUNCT
bracis-28370	109	38	.	.	PUNCT
bracis-28370	110	1	in	in	ADP
bracis-28370	110	2	line	line	NOUN
bracis-28370	110	3	6	6	NUM
bracis-28370	110	4	it	it	PRON
bracis-28370	110	5	is	be	AUX
bracis-28370	110	6	defined	define	VERB
bracis-28370	110	7	that	that	SCONJ
bracis-28370	110	8	the	the	DET
bracis-28370	110	9	number	number	NOUN
bracis-28370	110	10	of	of	ADP
bracis-28370	110	11	prototypes	prototype	NOUN
bracis-28370	110	12	of	of	ADP
bracis-28370	110	13	the	the	DET
bracis-28370	110	14	root	root	NOUN
bracis-28370	110	15	level	level	NOUN
bracis-28370	110	16	is	be	AUX
bracis-28370	110	17	the	the	DET
bracis-28370	110	18	value	value	NOUN
bracis-28370	110	19	of	of	ADP
bracis-28370	110	20	r	r	NOUN
bracis-28370	110	21	received	receive	VERB
bracis-28370	110	22	as	as	ADP
bracis-28370	110	23	a	a	DET
bracis-28370	110	24	parameter	parameter	NOUN
bracis-28370	110	25	in	in	ADP
bracis-28370	110	26	the	the	DET
bracis-28370	110	27	algorithm	algorithm	NOUN
bracis-28370	110	28	.	.	PUNCT
bracis-28370	111	1	after	after	ADP
bracis-28370	111	2	that	that	PRON
bracis-28370	111	3	,	,	PUNCT
bracis-28370	111	4	we	we	PRON
bracis-28370	111	5	carry	carry	VERB
bracis-28370	111	6	out	out	ADP
bracis-28370	111	7	the	the	DET
bracis-28370	111	8	selection	selection	NOUN
bracis-28370	111	9	of	of	ADP
bracis-28370	111	10	the	the	DET
bracis-28370	111	11	prototypes	prototype	NOUN
bracis-28370	111	12	that	that	PRON
bracis-28370	111	13	will	will	AUX
bracis-28370	111	14	belong	belong	VERB
bracis-28370	111	15	to	to	ADP
bracis-28370	111	16	the	the	DET
bracis-28370	111	17	tree	tree	NOUN
bracis-28370	111	18	in	in	ADP
bracis-28370	111	19	the	the	DET
bracis-28370	111	20	loop	loop	NOUN
bracis-28370	111	21	between	between	ADP
bracis-28370	111	22	lines	line	NOUN
bracis-28370	111	23	7	7	NUM
bracis-28370	111	24	and	and	CCONJ
bracis-28370	111	25	29	29	NUM
bracis-28370	111	26	.	.	PUNCT
bracis-28370	112	1	note	note	VERB
bracis-28370	112	2	that	that	SCONJ
bracis-28370	112	3	the	the	DET
bracis-28370	112	4	construction	construction	NOUN
bracis-28370	112	5	of	of	ADP
bracis-28370	112	6	this	this	DET
bracis-28370	112	7	tree	tree	NOUN
bracis-28370	112	8	will	will	AUX
bracis-28370	112	9	start	start	VERB
bracis-28370	112	10	from	from	ADP
bracis-28370	112	11	the	the	DET
bracis-28370	112	12	root	root	NOUN
bracis-28370	112	13	,	,	PUNCT
bracis-28370	112	14	which	which	PRON
bracis-28370	112	15	will	will	AUX
bracis-28370	112	16	represent	represent	VERB
bracis-28370	112	17	the	the	DET
bracis-28370	112	18	global	global	ADJ
bracis-28370	112	19	explanation	explanation	NOUN
bracis-28370	112	20	of	of	ADP
bracis-28370	112	21	the	the	DET
bracis-28370	112	22	model	model	NOUN
bracis-28370	112	23	.	.	PUNCT
bracis-28370	113	1	after	after	ADP
bracis-28370	113	2	that	that	PRON
bracis-28370	113	3	,	,	PUNCT
bracis-28370	113	4	for	for	SCONJ
bracis-28370	113	5	each	each	DET
bracis-28370	113	6	root	root	NOUN
bracis-28370	113	7	level	level	NOUN
bracis-28370	113	8	prototype	prototype	NOUN
bracis-28370	113	9	selected	select	VERB
bracis-28370	113	10	,	,	PUNCT
bracis-28370	113	11	we	we	PRON
bracis-28370	113	12	expand	expand	VERB
bracis-28370	113	13	it	it	PRON
bracis-28370	113	14	up	up	ADP
bracis-28370	113	15	to	to	ADP
bracis-28370	113	16	the	the	DET
bracis-28370	113	17	level	level	NOUN
bracis-28370	113	18	at	at	ADP
bracis-28370	113	19	limit	limit	NOUN
bracis-28370	113	20	h	h	NOUN
bracis-28370	113	21	,	,	PUNCT
bracis-28370	113	22	defined	define	VERB
bracis-28370	113	23	by	by	ADP
bracis-28370	113	24	the	the	DET
bracis-28370	113	25	user	user	NOUN
bracis-28370	113	26	.	.	PUNCT
bracis-28370	114	1	in	in	ADP
bracis-28370	114	2	line	line	NOUN
bracis-28370	114	3	10	10	NUM
bracis-28370	114	4	it	it	PRON
bracis-28370	114	5	is	be	AUX
bracis-28370	114	6	defined	define	VERB
bracis-28370	114	7	that	that	SCONJ
bracis-28370	114	8	for	for	ADP
bracis-28370	114	9	intermediate	intermediate	ADJ
bracis-28370	114	10	levels	level	NOUN
bracis-28370	114	11	of	of	ADP
bracis-28370	114	12	the	the	DET
bracis-28370	114	13	explanation	explanation	NOUN
bracis-28370	114	14	tree	tree	NOUN
bracis-28370	114	15	we	we	PRON
bracis-28370	114	16	will	will	AUX
bracis-28370	114	17	have	have	VERB
bracis-28370	114	18	a	a	DET
bracis-28370	114	19	binary	binary	ADJ
bracis-28370	114	20	division	division	NOUN
bracis-28370	114	21	of	of	ADP
bracis-28370	114	22	the	the	DET
bracis-28370	114	23	prototypes	prototype	NOUN
bracis-28370	114	24	.	.	PUNCT
bracis-28370	115	1	in	in	ADP
bracis-28370	115	2	the	the	DET
bracis-28370	115	3	loop	loop	NOUN
bracis-28370	115	4	of	of	ADP
bracis-28370	115	5	lines	line	NOUN
bracis-28370	115	6	11	11	NUM
bracis-28370	115	7	to	to	PART
bracis-28370	115	8	13	13	NUM
bracis-28370	115	9	,	,	PUNCT
bracis-28370	115	10	we	we	PRON
bracis-28370	115	11	check	check	VERB
bracis-28370	115	12	,	,	PUNCT
bracis-28370	115	13	for	for	ADP
bracis-28370	115	14	all	all	DET
bracis-28370	115	15	instances	instance	NOUN
bracis-28370	115	16	of	of	ADP
bracis-28370	115	17	the	the	DET
bracis-28370	115	18	training	training	NOUN
bracis-28370	115	19	set	set	NOUN
bracis-28370	115	20	,	,	PUNCT
bracis-28370	115	21	which	which	DET
bracis-28370	115	22	prototype	prototype	NOUN
bracis-28370	115	23	of	of	ADP
bracis-28370	115	24	the	the	DET
bracis-28370	115	25	previous	previous	ADJ
bracis-28370	115	26	level	level	NOUN
bracis-28370	115	27	is	be	AUX
bracis-28370	115	28	the	the	DET
bracis-28370	115	29	most	most	ADV
bracis-28370	115	30	similar	similar	ADJ
bracis-28370	115	31	to	to	PART
bracis-28370	115	32	represent	represent	VERB
bracis-28370	115	33	it	it	PRON
bracis-28370	115	34	.	.	PUNCT
bracis-28370	116	1	we	we	PRON
bracis-28370	116	2	are	be	AUX
bracis-28370	116	3	redistributing	redistribute	VERB
bracis-28370	116	4	the	the	DET
bracis-28370	116	5	training	training	NOUN
bracis-28370	116	6	points	point	NOUN
bracis-28370	116	7	to	to	PART
bracis-28370	116	8	identify	identify	VERB
bracis-28370	116	9	the	the	DET
bracis-28370	116	10	most	most	ADV
bracis-28370	116	11	suitable	suitable	ADJ
bracis-28370	116	12	prototypes	prototype	NOUN
bracis-28370	116	13	in	in	ADP
bracis-28370	116	14	a	a	DET
bracis-28370	116	15	subset	subset	NOUN
bracis-28370	116	16	.	.	PUNCT
bracis-28370	117	1	note	note	VERB
bracis-28370	117	2	that	that	SCONJ
bracis-28370	117	3	if	if	SCONJ
bracis-28370	117	4	we	we	PRON
bracis-28370	117	5	are	be	AUX
bracis-28370	117	6	at	at	ADP
bracis-28370	117	7	the	the	DET
bracis-28370	117	8	first	first	ADJ
bracis-28370	117	9	level	level	NOUN
bracis-28370	117	10	this	this	DET
bracis-28370	117	11	array	array	NOUN
bracis-28370	117	12	will	will	AUX
bracis-28370	117	13	be	be	AUX
bracis-28370	117	14	an	an	DET
bracis-28370	117	15	empty	empty	ADJ
bracis-28370	117	16	set	set	NOUN
bracis-28370	117	17	(	(	PUNCT
bracis-28370	117	18	line	line	NOUN
bracis-28370	117	19	8)	8)	NUM
bracis-28370	117	20	.	.	PUNCT
bracis-28370	117	21	to	to	PART
bracis-28370	117	22	measure	measure	VERB
bracis-28370	117	23	the	the	DET
bracis-28370	117	24	similarity	similarity	NOUN
bracis-28370	117	25	between	between	ADP
bracis-28370	117	26	the	the	DET
bracis-28370	117	27	instances	instance	NOUN
bracis-28370	117	28	we	we	PRON
bracis-28370	117	29	used	use	VERB
bracis-28370	117	30	the	the	DET
bracis-28370	117	31	l2	l2	NOUN
bracis-28370	117	32	of	of	ADP
bracis-28370	117	33	the	the	DET
bracis-28370	117	34	normalized	normalize	VERB
bracis-28370	117	35	values	value	NOUN
bracis-28370	117	36	of	of	ADP
bracis-28370	117	37	lf	lf	ADP
bracis-28370	117	38	and	and	CCONJ
bracis-28370	117	39	ls	ls	ADJ
bracis-28370	117	40	measure	measure	NOUN
bracis-28370	117	41	(	(	PUNCT
bracis-28370	117	42	eq	eq	NOUN
bracis-28370	117	43	.	.	PUNCT
bracis-28370	117	44	 	 	SPACE
bracis-28370	117	45	8)	8)	NUM
bracis-28370	117	46	.	.	PUNCT
bracis-28370	118	1	$	$	SYM
bracis-28370	118	2	$	$	SYM
bracis-28370	118	3	\begin{aligned	\begin{aligne	VERB
bracis-28370	118	4	}	}	PUNCT
bracis-28370	118	5	\begin{aligned	\begin{aligne	VERB
bracis-28370	118	6	}	}	PUNCT
bracis-28370	118	7	l2fs(f	l2fs(f	PROPN
bracis-28370	118	8	,	,	PUNCT
bracis-28370	118	9	pr_{t'},t')=	pr_{t'},t')=	NOUN
bracis-28370	118	10	\sqrt	\sqrt	PROPN
bracis-28370	118	11	{	{	PUNCT
bracis-28370	118	12	\left	\left	PROPN
bracis-28370	118	13	[	[	PUNCT
bracis-28370	118	14	{	{	PUNCT
bracis-28370	118	15	\frac{1}{\log	\frac{1}{\log	X
bracis-28370	118	16	(	(	PUNCT
bracis-28370	118	17	\overline{lf}(f(pr_{t	\overline{lf}(f(pr_{t	NOUN
bracis-28370	118	18	'	'	NUM
bracis-28370	118	19	}	}	PUNCT
bracis-28370	118	20	)	)	PUNCT
bracis-28370	118	21	,	,	PUNCT
bracis-28370	118	22	f(t	f(t	PROPN
bracis-28370	118	23	'	'	PART
bracis-28370	118	24	)	)	PUNCT
bracis-28370	118	25	)	)	PUNCT
bracis-28370	118	26	)	)	PUNCT
bracis-28370	118	27	}	}	PUNCT
bracis-28370	118	28	}	}	PUNCT
bracis-28370	118	29	\right	\right	ADP
bracis-28370	118	30	]	]	PUNCT
bracis-28370	118	31	^2	^2	PUNCT
bracis-28370	118	32	+	+	CCONJ
bracis-28370	118	33	\left	\left	PROPN
bracis-28370	118	34	[	[	PUNCT
bracis-28370	118	35	{	{	PUNCT
bracis-28370	118	36	\frac{1}{\log	\frac{1}{\log	X
bracis-28370	118	37	(	(	PUNCT
bracis-28370	118	38	\overline{ls}(t',pr_{t	\overline{ls}(t',pr_{t	NOUN
bracis-28370	118	39	'	'	NUM
bracis-28370	118	40	}	}	PUNCT
bracis-28370	118	41	)	)	PUNCT
bracis-28370	118	42	)	)	PUNCT
bracis-28370	118	43	}	}	PUNCT
bracis-28370	118	44	}	}	PUNCT
bracis-28370	118	45	\right	\right	ADP
bracis-28370	118	46	]	]	PUNCT
bracis-28370	118	47	^2	^2	ADV
bracis-28370	118	48	}	}	PUNCT
bracis-28370	118	49	\end{aligned	\end{aligne	VERB
bracis-28370	118	50	}	}	PUNCT
bracis-28370	118	51	\end{aligned}$$	\end{aligned}$$	X
bracis-28370	118	52	(	(	PUNCT
bracis-28370	118	53	8)	8)	NUM
bracis-28370	118	54	\(\overline{lf}\	\(\overline{lf}\	NOUN
bracis-28370	118	55	)	)	PUNCT
bracis-28370	118	56	and	and	CCONJ
bracis-28370	118	57	\(\overline{ls}\	\(\overline{ls}\	PROPN
bracis-28370	118	58	)	)	PUNCT
bracis-28370	118	59	are	be	AUX
bracis-28370	118	60	normalized	normalize	VERB
bracis-28370	118	61	values	value	NOUN
bracis-28370	118	62	by	by	ADP
bracis-28370	118	63	the	the	DET
bracis-28370	118	64	min	min	PROPN
bracis-28370	118	65	-	-	PROPN
bracis-28370	118	66	max	max	NOUN
bracis-28370	118	67	of	of	ADP
bracis-28370	118	68	the	the	DET
bracis-28370	118	69	original	original	ADJ
bracis-28370	118	70	metrics	metric	NOUN
bracis-28370	118	71	.	.	PUNCT
bracis-28370	119	1	in	in	ADP
bracis-28370	119	2	the	the	DET
bracis-28370	119	3	loop	loop	NOUN
bracis-28370	119	4	between	between	ADP
bracis-28370	119	5	lines	line	NOUN
bracis-28370	119	6	15	15	NUM
bracis-28370	119	7	and	and	CCONJ
bracis-28370	119	8	28	28	NUM
bracis-28370	119	9	we	we	PRON
bracis-28370	119	10	find	find	VERB
bracis-28370	119	11	the	the	DET
bracis-28370	119	12	prototypes	prototype	NOUN
bracis-28370	119	13	that	that	PRON
bracis-28370	119	14	represent	represent	VERB
bracis-28370	119	15	each	each	PRON
bracis-28370	119	16	of	of	ADP
bracis-28370	119	17	the	the	DET
bracis-28370	119	18	subsets	subset	NOUN
bracis-28370	119	19	divided	divide	VERB
bracis-28370	119	20	by	by	ADP
bracis-28370	119	21	the	the	DET
bracis-28370	119	22	prototypes	prototype	NOUN
bracis-28370	119	23	in	in	ADP
bracis-28370	119	24	the	the	DET
bracis-28370	119	25	previous	previous	ADJ
bracis-28370	119	26	iteration	iteration	NOUN
bracis-28370	119	27	.	.	PUNCT
bracis-28370	120	1	to	to	PART
bracis-28370	120	2	accomplish	accomplish	VERB
bracis-28370	120	3	this	this	PRON
bracis-28370	120	4	,	,	PUNCT
bracis-28370	120	5	in	in	ADP
bracis-28370	120	6	line	line	NOUN
bracis-28370	120	7	20	20	NUM
bracis-28370	120	8	,	,	PUNCT
bracis-28370	120	9	we	we	PRON
bracis-28370	120	10	check	check	VERB
bracis-28370	120	11	the	the	DET
bracis-28370	120	12	indexes	index	NOUN
bracis-28370	120	13	of	of	ADP
bracis-28370	120	14	valid	valid	ADJ
bracis-28370	120	15	training	training	NOUN
bracis-28370	120	16	points	point	NOUN
bracis-28370	120	17	,	,	PUNCT
bracis-28370	120	18	i.e.	i.e.	X
bracis-28370	120	19	,	,	PUNCT
bracis-28370	120	20	all	all	DET
bracis-28370	120	21	training	training	NOUN
bracis-28370	120	22	points	point	NOUN
bracis-28370	120	23	explained	explain	VERB
bracis-28370	120	24	by	by	ADP
bracis-28370	120	25	the	the	DET
bracis-28370	120	26	same	same	ADJ
bracis-28370	120	27	prototype	prototype	NOUN
bracis-28370	120	28	in	in	ADP
bracis-28370	120	29	the	the	DET
bracis-28370	120	30	previous	previous	ADJ
bracis-28370	120	31	tree	tree	NOUN
bracis-28370	120	32	level	level	NOUN
bracis-28370	120	33	,	,	PUNCT
bracis-28370	120	34	excluding	exclude	VERB
bracis-28370	120	35	instances	instance	NOUN
bracis-28370	120	36	already	already	ADV
bracis-28370	120	37	selected	select	VERB
bracis-28370	120	38	as	as	ADP
bracis-28370	120	39	prototypes	prototype	NOUN
bracis-28370	120	40	.	.	PUNCT
bracis-28370	121	1	the	the	DET
bracis-28370	121	2	conditional	conditional	NOUN
bracis-28370	121	3	performed	perform	VERB
bracis-28370	121	4	on	on	ADP
bracis-28370	121	5	line	line	NOUN
bracis-28370	121	6	17	17	NUM
bracis-28370	121	7	verifies	verifie	NOUN
bracis-28370	121	8	whether	whether	SCONJ
bracis-28370	121	9	the	the	DET
bracis-28370	121	10	chosen	choose	VERB
bracis-28370	121	11	prototypes	prototype	NOUN
bracis-28370	121	12	are	be	AUX
bracis-28370	121	13	from	from	ADP
bracis-28370	121	14	the	the	DET
bracis-28370	121	15	root	root	NOUN
bracis-28370	121	16	level	level	NOUN
bracis-28370	121	17	,	,	PUNCT
bracis-28370	121	18	if	if	SCONJ
bracis-28370	121	19	so	so	ADV
bracis-28370	121	20	,	,	PUNCT
bracis-28370	121	21	all	all	DET
bracis-28370	121	22	instances	instance	NOUN
bracis-28370	121	23	of	of	ADP
bracis-28370	121	24	the	the	DET
bracis-28370	121	25	training	training	NOUN
bracis-28370	121	26	set	set	NOUN
bracis-28370	121	27	make	make	VERB
bracis-28370	121	28	up	up	ADP
bracis-28370	121	29	the	the	DET
bracis-28370	121	30	list	list	NOUN
bracis-28370	121	31	of	of	ADP
bracis-28370	121	32	valid	valid	ADJ
bracis-28370	121	33	indexes	index	NOUN
bracis-28370	121	34	.	.	PUNCT
bracis-28370	122	1	in	in	ADP
bracis-28370	122	2	line	line	NOUN
bracis-28370	122	3	20	20	NUM
bracis-28370	122	4	,	,	PUNCT
bracis-28370	122	5	the	the	DET
bracis-28370	122	6	m	m	NOUN
bracis-28370	122	7	-	-	ADJ
bracis-28370	122	8	peer	peer	NOUN
bracis-28370	122	9	method	method	NOUN
bracis-28370	122	10	is	be	AUX
bracis-28370	122	11	called	call	VERB
bracis-28370	122	12	for	for	ADP
bracis-28370	122	13	this	this	DET
bracis-28370	122	14	subset	subset	NOUN
bracis-28370	122	15	of	of	ADP
bracis-28370	122	16	instances	instance	NOUN
bracis-28370	122	17	and	and	CCONJ
bracis-28370	122	18	the	the	DET
bracis-28370	122	19	chosen	choose	VERB
bracis-28370	122	20	prototypes	prototype	NOUN
bracis-28370	122	21	are	be	AUX
bracis-28370	122	22	added	add	VERB
bracis-28370	122	23	to	to	ADP
bracis-28370	122	24	the	the	DET
bracis-28370	122	25	tree	tree	NOUN
bracis-28370	122	26	in	in	ADP
bracis-28370	122	27	line	line	NOUN
bracis-28370	122	28	21	21	NUM
bracis-28370	122	29	.	.	PUNCT
bracis-28370	123	1	in	in	ADP
bracis-28370	123	2	line	line	NOUN
bracis-28370	123	3	22	22	NUM
bracis-28370	123	4	,	,	PUNCT
bracis-28370	123	5	the	the	DET
bracis-28370	123	6	minimum	minimum	ADJ
bracis-28370	123	7	and	and	CCONJ
bracis-28370	123	8	maximum	maximum	ADJ
bracis-28370	123	9	values	value	NOUN
bracis-28370	123	10	of	of	ADP
bracis-28370	123	11	all	all	DET
bracis-28370	123	12	instances	instance	NOUN
bracis-28370	123	13	used	use	VERB
bracis-28370	123	14	to	to	PART
bracis-28370	123	15	select	select	VERB
bracis-28370	123	16	each	each	PRON
bracis-28370	123	17	of	of	ADP
bracis-28370	123	18	the	the	DET
bracis-28370	123	19	prototypes	prototype	NOUN
bracis-28370	123	20	are	be	AUX
bracis-28370	123	21	checked	check	VERB
bracis-28370	123	22	,	,	PUNCT
bracis-28370	123	23	and	and	CCONJ
bracis-28370	123	24	in	in	ADP
bracis-28370	123	25	line	line	NOUN
bracis-28370	123	26	24	24	NUM
bracis-28370	123	27	the	the	DET
bracis-28370	123	28	set	set	NOUN
bracis-28370	123	29	of	of	ADP
bracis-28370	123	30	selected	select	VERB
bracis-28370	123	31	prototypes	prototype	NOUN
bracis-28370	123	32	is	be	AUX
bracis-28370	123	33	added	add	VERB
bracis-28370	123	34	to	to	ADP
bracis-28370	123	35	the	the	DET
bracis-28370	123	36	array	array	NOUN
bracis-28370	123	37	of	of	ADP
bracis-28370	123	38	previously	previously	ADV
bracis-28370	123	39	selected	select	VERB
bracis-28370	123	40	prototypes	prototype	NOUN
bracis-28370	123	41	.	.	PUNCT
bracis-28370	124	1	finally	finally	ADV
bracis-28370	124	2	,	,	PUNCT
bracis-28370	124	3	the	the	DET
bracis-28370	124	4	condition	condition	NOUN
bracis-28370	124	5	in	in	ADP
bracis-28370	124	6	line	line	NOUN
bracis-28370	124	7	25	25	NUM
bracis-28370	124	8	tests	test	NOUN
bracis-28370	124	9	whether	whether	SCONJ
bracis-28370	124	10	we	we	PRON
bracis-28370	124	11	have	have	AUX
bracis-28370	124	12	reached	reach	VERB
bracis-28370	124	13	the	the	DET
bracis-28370	124	14	last	last	ADJ
bracis-28370	124	15	level	level	NOUN
bracis-28370	124	16	h	h	NOUN
bracis-28370	124	17	defined	define	VERB
bracis-28370	124	18	by	by	ADP
bracis-28370	124	19	the	the	DET
bracis-28370	124	20	user	user	NOUN
bracis-28370	124	21	,	,	PUNCT
bracis-28370	124	22	which	which	PRON
bracis-28370	124	23	corresponds	correspond	VERB
bracis-28370	124	24	to	to	ADP
bracis-28370	124	25	the	the	DET
bracis-28370	124	26	leaf	leaf	NOUN
bracis-28370	124	27	nodes	node	NOUN
bracis-28370	124	28	of	of	ADP
bracis-28370	124	29	the	the	DET
bracis-28370	124	30	tree	tree	NOUN
bracis-28370	124	31	that	that	PRON
bracis-28370	124	32	will	will	AUX
bracis-28370	124	33	be	be	AUX
bracis-28370	124	34	later	later	ADV
bracis-28370	124	35	associated	associate	VERB
bracis-28370	124	36	with	with	ADP
bracis-28370	124	37	test	test	NOUN
bracis-28370	124	38	instances	instance	NOUN
bracis-28370	124	39	.	.	PUNCT
bracis-28370	125	1	the	the	DET
bracis-28370	125	2	selection	selection	NOUN
bracis-28370	125	3	of	of	ADP
bracis-28370	125	4	the	the	DET
bracis-28370	125	5	most	most	ADV
bracis-28370	125	6	relevant	relevant	ADJ
bracis-28370	125	7	attributes	attribute	NOUN
bracis-28370	125	8	and	and	CCONJ
bracis-28370	125	9	the	the	DET
bracis-28370	125	10	range	range	NOUN
bracis-28370	125	11	of	of	ADP
bracis-28370	125	12	expected	expect	VERB
bracis-28370	125	13	values	value	NOUN
bracis-28370	125	14	for	for	ADP
bracis-28370	125	15	each	each	DET
bracis-28370	125	16	attribute	attribute	NOUN
bracis-28370	125	17	of	of	ADP
bracis-28370	125	18	similar	similar	ADJ
bracis-28370	125	19	instances	instance	NOUN
bracis-28370	125	20	is	be	AUX
bracis-28370	125	21	performed	perform	VERB
bracis-28370	125	22	in	in	ADP
bracis-28370	125	23	the	the	DET
bracis-28370	125	24	loop	loop	NOUN
bracis-28370	125	25	between	between	ADP
bracis-28370	125	26	lines	line	NOUN
bracis-28370	125	27	31	31	NUM
bracis-28370	125	28	and	and	CCONJ
bracis-28370	125	29	33	33	NUM
bracis-28370	125	30	for	for	ADP
bracis-28370	125	31	selected	select	VERB
bracis-28370	125	32	prototype	prototype	NOUN
bracis-28370	125	33	points	point	NOUN
bracis-28370	125	34	at	at	ADP
bracis-28370	125	35	all	all	DET
bracis-28370	125	36	levels	level	NOUN
bracis-28370	125	37	of	of	ADP
bracis-28370	125	38	the	the	DET
bracis-28370	125	39	tree	tree	NOUN
bracis-28370	125	40	.	.	PUNCT
bracis-28370	126	1	the	the	DET
bracis-28370	126	2	same	same	ADJ
bracis-28370	126	3	procedure	procedure	NOUN
bracis-28370	126	4	of	of	ADP
bracis-28370	126	5	feature	feature	NOUN
bracis-28370	126	6	analysis	analysis	NOUN
bracis-28370	126	7	is	be	AUX
bracis-28370	126	8	performed	perform	VERB
bracis-28370	126	9	in	in	ADP
bracis-28370	126	10	the	the	DET
bracis-28370	126	11	loop	loop	NOUN
bracis-28370	126	12	between	between	ADP
bracis-28370	126	13	lines	line	NOUN
bracis-28370	126	14	35	35	NUM
bracis-28370	126	15	and	and	CCONJ
bracis-28370	126	16	38	38	NUM
bracis-28370	126	17	for	for	ADP
bracis-28370	126	18	the	the	DET
bracis-28370	126	19	set	set	NOUN
bracis-28370	126	20	of	of	ADP
bracis-28370	126	21	test	test	NOUN
bracis-28370	126	22	instances	instance	NOUN
bracis-28370	126	23	.	.	PUNCT
bracis-28370	127	1	this	this	PRON
bracis-28370	127	2	is	be	AUX
bracis-28370	127	3	done	do	VERB
bracis-28370	127	4	by	by	ADP
bracis-28370	127	5	dela	dela	PROPN
bracis-28370	127	6	.	.	PUNCT
bracis-28370	128	1	in	in	ADP
bracis-28370	128	2	line	line	NOUN
bracis-28370	128	3	36	36	NUM
bracis-28370	128	4	,	,	PUNCT
bracis-28370	128	5	we	we	PRON
bracis-28370	128	6	check	check	VERB
bracis-28370	128	7	which	which	DET
bracis-28370	128	8	leaf	leaf	NOUN
bracis-28370	128	9	node	node	NOUN
bracis-28370	128	10	is	be	AUX
bracis-28370	128	11	closest	close	ADJ
bracis-28370	128	12	to	to	ADP
bracis-28370	128	13	the	the	DET
bracis-28370	128	14	test	test	NOUN
bracis-28370	128	15	point	point	NOUN
bracis-28370	128	16	to	to	PART
bracis-28370	128	17	associate	associate	VERB
bracis-28370	128	18	the	the	DET
bracis-28370	128	19	two	two	NUM
bracis-28370	128	20	in	in	ADP
bracis-28370	128	21	the	the	DET
bracis-28370	128	22	final	final	ADJ
bracis-28370	128	23	view	view	NOUN
bracis-28370	128	24	of	of	ADP
bracis-28370	128	25	the	the	DET
bracis-28370	128	26	tree	tree	NOUN
bracis-28370	128	27	.	.	PUNCT
bracis-28370	129	1	finally	finally	ADV
bracis-28370	129	2	,	,	PUNCT
bracis-28370	129	3	on	on	ADP
bracis-28370	129	4	line	line	NOUN
bracis-28370	129	5	39	39	NUM
bracis-28370	129	6	,	,	PUNCT
bracis-28370	129	7	a	a	DET
bracis-28370	129	8	function	function	NOUN
bracis-28370	129	9	is	be	AUX
bracis-28370	129	10	called	call	VERB
bracis-28370	129	11	to	to	PART
bracis-28370	129	12	draw	draw	VERB
bracis-28370	129	13	the	the	DET
bracis-28370	129	14	tree	tree	NOUN
bracis-28370	129	15	,	,	PUNCT
bracis-28370	129	16	showing	show	VERB
bracis-28370	129	17	the	the	DET
bracis-28370	129	18	most	most	ADV
bracis-28370	129	19	relevant	relevant	ADJ
bracis-28370	129	20	features	feature	NOUN
bracis-28370	129	21	and	and	CCONJ
bracis-28370	129	22	the	the	DET
bracis-28370	129	23	range	range	NOUN
bracis-28370	129	24	of	of	ADP
bracis-28370	129	25	expected	expect	VERB
bracis-28370	129	26	features	feature	NOUN
bracis-28370	129	27	for	for	ADP
bracis-28370	129	28	the	the	DET
bracis-28370	129	29	selected	select	VERB
bracis-28370	129	30	prototype	prototype	NOUN
bracis-28370	129	31	instance	instance	NOUN
bracis-28370	129	32	and	and	CCONJ
bracis-28370	129	33	for	for	ADP
bracis-28370	129	34	the	the	DET
bracis-28370	129	35	test	test	NOUN
bracis-28370	129	36	instances	instance	NOUN
bracis-28370	129	37	.	.	PUNCT
bracis-28370	130	1	4	4	NUM
bracis-28370	130	2	experiments	experiment	NOUN
bracis-28370	130	3	we	we	PRON
bracis-28370	130	4	perform	perform	VERB
bracis-28370	130	5	both	both	PRON
bracis-28370	130	6	a	a	DET
bracis-28370	130	7	quantitative	quantitative	NOUN
bracis-28370	130	8	and	and	CCONJ
bracis-28370	130	9	a	a	DET
bracis-28370	130	10	qualitative	qualitative	ADJ
bracis-28370	130	11	evaluation	evaluation	NOUN
bracis-28370	130	12	of	of	ADP
bracis-28370	130	13	the	the	DET
bracis-28370	130	14	prototypes	prototype	NOUN
bracis-28370	130	15	chosen	choose	VERB
bracis-28370	130	16	by	by	ADP
bracis-28370	130	17	humie	humie	NOUN
bracis-28370	130	18	and	and	CCONJ
bracis-28370	130	19	their	their	PRON
bracis-28370	130	20	characteristics	characteristic	NOUN
bracis-28370	130	21	.	.	PUNCT
bracis-28370	131	1	4.1	4.1	NUM
bracis-28370	131	2	experimental	experimental	ADJ
bracis-28370	131	3	setup	setup	NOUN
bracis-28370	131	4	in	in	ADP
bracis-28370	131	5	the	the	DET
bracis-28370	131	6	quantitative	quantitative	ADJ
bracis-28370	131	7	evaluation	evaluation	NOUN
bracis-28370	131	8	,	,	PUNCT
bracis-28370	131	9	we	we	PRON
bracis-28370	131	10	compare	compare	VERB
bracis-28370	131	11	the	the	DET
bracis-28370	131	12	prototypes	prototype	NOUN
bracis-28370	131	13	chosen	choose	VERB
bracis-28370	131	14	by	by	ADP
bracis-28370	131	15	humie	humie	PROPN
bracis-28370	131	16	for	for	ADP
bracis-28370	131	17	local	local	ADJ
bracis-28370	131	18	explanation	explanation	NOUN
bracis-28370	131	19	with	with	ADP
bracis-28370	131	20	those	those	PRON
bracis-28370	131	21	chosen	choose	VERB
bracis-28370	131	22	by	by	ADP
bracis-28370	131	23	other	other	ADJ
bracis-28370	131	24	methods	method	NOUN
bracis-28370	131	25	of	of	ADP
bracis-28370	131	26	explanation	explanation	NOUN
bracis-28370	131	27	based	base	VERB
bracis-28370	131	28	on	on	ADP
bracis-28370	131	29	examples	example	NOUN
bracis-28370	131	30	:	:	PUNCT
bracis-28370	131	31	protodash	protodash	VERB
bracis-28370	131	32	 	 	SPACE
bracis-28370	132	1	[	[	X
bracis-28370	132	2	10	10	NUM
bracis-28370	132	3	]	]	PUNCT
bracis-28370	132	4	and	and	CCONJ
bracis-28370	132	5	the	the	DET
bracis-28370	132	6	standalone	standalone	ADJ
bracis-28370	132	7	version	version	NOUN
bracis-28370	132	8	of	of	ADP
bracis-28370	132	9	m	m	NOUN
bracis-28370	132	10	-	-	NOUN
bracis-28370	132	11	peer	peer	NOUN
bracis-28370	132	12	.	.	PUNCT
bracis-28370	133	1	protodash	protodash	NOUN
bracis-28370	133	2	is	be	AUX
bracis-28370	133	3	an	an	DET
bracis-28370	133	4	example	example	NOUN
bracis-28370	133	5	-	-	PUNCT
bracis-28370	133	6	based	base	VERB
bracis-28370	133	7	explanation	explanation	NOUN
bracis-28370	133	8	method	method	NOUN
bracis-28370	133	9	that	that	PRON
bracis-28370	133	10	selects	select	VERB
bracis-28370	133	11	prototypes	prototype	NOUN
bracis-28370	133	12	by	by	ADP
bracis-28370	133	13	comparing	compare	VERB
bracis-28370	133	14	the	the	DET
bracis-28370	133	15	distribution	distribution	NOUN
bracis-28370	133	16	of	of	ADP
bracis-28370	133	17	training	training	NOUN
bracis-28370	133	18	data	datum	NOUN
bracis-28370	133	19	and	and	CCONJ
bracis-28370	133	20	the	the	DET
bracis-28370	133	21	distribution	distribution	NOUN
bracis-28370	133	22	of	of	ADP
bracis-28370	133	23	candidate	candidate	NOUN
bracis-28370	133	24	prototypes	prototype	NOUN
bracis-28370	133	25	,	,	PUNCT
bracis-28370	133	26	i.e.	i.e.	X
bracis-28370	133	27	,	,	PUNCT
bracis-28370	133	28	it	it	PRON
bracis-28370	133	29	does	do	AUX
bracis-28370	133	30	not	not	PART
bracis-28370	133	31	take	take	VERB
bracis-28370	133	32	into	into	ADP
bracis-28370	133	33	account	account	NOUN
bracis-28370	133	34	the	the	DET
bracis-28370	133	35	model	model	NOUN
bracis-28370	133	36	output	output	NOUN
bracis-28370	133	37	.	.	PUNCT
bracis-28370	134	1	for	for	ADP
bracis-28370	134	2	that	that	PRON
bracis-28370	134	3	,	,	PUNCT
bracis-28370	134	4	we	we	PRON
bracis-28370	134	5	use	use	VERB
bracis-28370	134	6	the	the	DET
bracis-28370	134	7	25	25	NUM
bracis-28370	134	8	datasets	dataset	NOUN
bracis-28370	134	9	presented	present	VERB
bracis-28370	134	10	in	in	ADP
bracis-28370	134	11	table	table	NOUN
bracis-28370	134	12	 	 	SPACE
bracis-28370	134	13	1	1	NUM
bracis-28370	134	14	.	.	PUNCT
bracis-28370	134	15	to	to	PART
bracis-28370	134	16	measure	measure	VERB
bracis-28370	134	17	the	the	DET
bracis-28370	134	18	quality	quality	NOUN
bracis-28370	134	19	of	of	ADP
bracis-28370	134	20	the	the	DET
bracis-28370	134	21	prototypes	prototype	NOUN
bracis-28370	134	22	,	,	PUNCT
bracis-28370	134	23	we	we	PRON
bracis-28370	134	24	use	use	VERB
bracis-28370	134	25	the	the	DET
bracis-28370	134	26	classic	classic	ADJ
bracis-28370	134	27	root	root	NOUN
bracis-28370	134	28	mean	mean	VERB
bracis-28370	134	29	squared	square	VERB
bracis-28370	134	30	error	error	NOUN
bracis-28370	134	31	(	(	PUNCT
bracis-28370	134	32	rmse	rmse	NOUN
bracis-28370	134	33	)	)	PUNCT
bracis-28370	134	34	and	and	CCONJ
bracis-28370	134	35	also	also	ADV
bracis-28370	134	36	the	the	DET
bracis-28370	134	37	metrics	metric	NOUN
bracis-28370	134	38	gf	gf	NOUN
bracis-28370	134	39	,	,	PUNCT
bracis-28370	134	40	gs	gs	PROPN
bracis-28370	134	41	and	and	CCONJ
bracis-28370	134	42	gfs	gfs	PROPN
bracis-28370	134	43	presented	present	VERB
bracis-28370	134	44	in	in	ADP
bracis-28370	134	45	sect	sect	NOUN
bracis-28370	134	46	.	.	PUNCT
bracis-28370	134	47	 	 	SPACE
bracis-28370	134	48	3.1	3.1	NUM
bracis-28370	134	49	.	.	PUNCT
bracis-28370	135	1	we	we	PRON
bracis-28370	135	2	also	also	ADV
bracis-28370	135	3	performed	perform	VERB
bracis-28370	135	4	a	a	DET
bracis-28370	135	5	qualitative	qualitative	ADJ
bracis-28370	135	6	analysis	analysis	NOUN
bracis-28370	135	7	on	on	ADP
bracis-28370	135	8	the	the	DET
bracis-28370	135	9	classic	classic	ADJ
bracis-28370	135	10	auto	auto	NOUN
bracis-28370	135	11	-	-	PUNCT
bracis-28370	135	12	mpg	mpg	NOUN
bracis-28370	135	13	dataset	dataset	NOUN
bracis-28370	135	14	,	,	PUNCT
bracis-28370	135	15	which	which	PRON
bracis-28370	135	16	portrays	portray	VERB
bracis-28370	135	17	the	the	DET
bracis-28370	135	18	fuel	fuel	NOUN
bracis-28370	135	19	consumption	consumption	NOUN
bracis-28370	135	20	of	of	ADP
bracis-28370	135	21	automobiles	automobile	NOUN
bracis-28370	135	22	(	(	PUNCT
bracis-28370	135	23	miles	mile	NOUN
bracis-28370	135	24	per	per	ADP
bracis-28370	135	25	gallon	gallon	NOUN
bracis-28370	135	26	mpg	mpg	NOUN
bracis-28370	135	27	)	)	PUNCT
bracis-28370	135	28	according	accord	VERB
bracis-28370	135	29	to	to	ADP
bracis-28370	135	30	their	their	PRON
bracis-28370	135	31	construction	construction	NOUN
bracis-28370	135	32	characteristics	characteristic	NOUN
bracis-28370	135	33	.	.	PUNCT
bracis-28370	136	1	table	table	NOUN
bracis-28370	136	2	1	1	NUM
bracis-28370	136	3	.	.	PUNCT
bracis-28370	137	1	dataset	dataset	NOUN
bracis-28370	137	2	used	use	VERB
bracis-28370	137	3	in	in	ADP
bracis-28370	137	4	the	the	DET
bracis-28370	137	5	experiments	experiment	NOUN
bracis-28370	137	6	of	of	ADP
bracis-28370	137	7	the	the	DET
bracis-28370	137	8	humie	humie	PROPN
bracis-28370	137	9	explanation	explanation	NOUN
bracis-28370	137	10	method.full	method.full	NOUN
bracis-28370	137	11	size	size	NOUN
bracis-28370	137	12	table	table	NOUN
bracis-28370	137	13	4.2	4.2	NUM
bracis-28370	137	14	results	result	NOUN
bracis-28370	137	15	this	this	DET
bracis-28370	137	16	section	section	NOUN
bracis-28370	137	17	first	first	ADV
bracis-28370	137	18	presents	present	VERB
bracis-28370	137	19	a	a	DET
bracis-28370	137	20	quantitative	quantitative	ADJ
bracis-28370	137	21	experimental	experimental	ADJ
bracis-28370	137	22	analysis	analysis	NOUN
bracis-28370	137	23	of	of	ADP
bracis-28370	137	24	the	the	DET
bracis-28370	137	25	explainability	explainability	NOUN
bracis-28370	137	26	method	method	NOUN
bracis-28370	137	27	proposed	propose	VERB
bracis-28370	137	28	.	.	PUNCT
bracis-28370	138	1	the	the	DET
bracis-28370	138	2	models	model	NOUN
bracis-28370	138	3	to	to	PART
bracis-28370	138	4	be	be	AUX
bracis-28370	138	5	explained	explain	VERB
bracis-28370	138	6	were	be	AUX
bracis-28370	138	7	built	build	VERB
bracis-28370	138	8	using	use	VERB
bracis-28370	138	9	a	a	DET
bracis-28370	138	10	random	random	ADJ
bracis-28370	138	11	forest	forest	NOUN
bracis-28370	138	12	regression	regression	NOUN
bracis-28370	138	13	algorithm	algorithm	NOUN
bracis-28370	138	14	,	,	PUNCT
bracis-28370	138	15	implemented	implement	VERB
bracis-28370	138	16	with	with	ADP
bracis-28370	138	17	sklearnfootnote	sklearnfootnote	NOUN
bracis-28370	138	18	1	1	NUM
bracis-28370	138	19	.	.	PUNCT
bracis-28370	139	1	all	all	DET
bracis-28370	139	2	parameters	parameter	NOUN
bracis-28370	139	3	were	be	AUX
bracis-28370	139	4	used	use	VERB
bracis-28370	139	5	with	with	ADP
bracis-28370	139	6	their	their	PRON
bracis-28370	139	7	default	default	NOUN
bracis-28370	139	8	values	value	NOUN
bracis-28370	139	9	.	.	PUNCT
bracis-28370	140	1	taking	take	VERB
bracis-28370	140	2	as	as	ADP
bracis-28370	140	3	input	input	NOUN
bracis-28370	140	4	the	the	DET
bracis-28370	140	5	model	model	NOUN
bracis-28370	140	6	built	build	VERB
bracis-28370	140	7	using	use	VERB
bracis-28370	140	8	each	each	PRON
bracis-28370	140	9	of	of	ADP
bracis-28370	140	10	the	the	DET
bracis-28370	140	11	datasets	dataset	NOUN
bracis-28370	140	12	shown	show	VERB
bracis-28370	140	13	in	in	ADP
bracis-28370	140	14	table	table	NOUN
bracis-28370	140	15	 	 	SPACE
bracis-28370	140	16	1	1	NUM
bracis-28370	140	17	,	,	PUNCT
bracis-28370	140	18	we	we	PRON
bracis-28370	140	19	run	run	VERB
bracis-28370	140	20	the	the	DET
bracis-28370	140	21	explanation	explanation	NOUN
bracis-28370	140	22	methods	method	NOUN
bracis-28370	140	23	protodash	protodash	VERB
bracis-28370	140	24	,	,	PUNCT
bracis-28370	140	25	m	m	NOUN
bracis-28370	140	26	-	-	NOUN
bracis-28370	140	27	peer	peer	NOUN
bracis-28370	140	28	and	and	CCONJ
bracis-28370	140	29	humie	humie	NOUN
bracis-28370	140	30	to	to	PART
bracis-28370	140	31	compare	compare	VERB
bracis-28370	140	32	the	the	DET
bracis-28370	140	33	quality	quality	NOUN
bracis-28370	140	34	of	of	ADP
bracis-28370	140	35	the	the	DET
bracis-28370	140	36	selected	select	VERB
bracis-28370	140	37	prototypes	prototype	NOUN
bracis-28370	140	38	.	.	PUNCT
bracis-28370	141	1	for	for	ADP
bracis-28370	141	2	protodash	protodash	NOUN
bracis-28370	141	3	,	,	PUNCT
bracis-28370	141	4	we	we	PRON
bracis-28370	141	5	selected	select	VERB
bracis-28370	141	6	6	6	NUM
bracis-28370	141	7	global	global	ADJ
bracis-28370	141	8	explanation	explanation	NOUN
bracis-28370	141	9	prototypes	prototype	NOUN
bracis-28370	141	10	and	and	CCONJ
bracis-28370	141	11	assigned	assign	VERB
bracis-28370	141	12	each	each	PRON
bracis-28370	141	13	of	of	ADP
bracis-28370	141	14	the	the	DET
bracis-28370	141	15	test	test	NOUN
bracis-28370	141	16	instances	instance	NOUN
bracis-28370	141	17	to	to	ADP
bracis-28370	141	18	the	the	DET
bracis-28370	141	19	most	most	ADV
bracis-28370	141	20	similar	similar	ADJ
bracis-28370	141	21	.	.	PUNCT
bracis-28370	142	1	for	for	ADP
bracis-28370	142	2	the	the	DET
bracis-28370	142	3	m	m	NOUN
bracis-28370	142	4	-	-	ADJ
bracis-28370	142	5	peer	peer	NOUN
bracis-28370	142	6	method	method	NOUN
bracis-28370	142	7	we	we	PRON
bracis-28370	142	8	selected	select	VERB
bracis-28370	142	9	3	3	NUM
bracis-28370	142	10	global	global	ADJ
bracis-28370	142	11	prototypes	prototype	NOUN
bracis-28370	142	12	that	that	PRON
bracis-28370	142	13	are	be	AUX
bracis-28370	142	14	used	use	VERB
bracis-28370	142	15	for	for	ADP
bracis-28370	142	16	local	local	ADJ
bracis-28370	142	17	explanation	explanation	NOUN
bracis-28370	142	18	according	accord	VERB
bracis-28370	142	19	to	to	ADP
bracis-28370	142	20	the	the	DET
bracis-28370	142	21	proximity	proximity	NOUN
bracis-28370	142	22	of	of	ADP
bracis-28370	142	23	the	the	DET
bracis-28370	142	24	test	test	NOUN
bracis-28370	142	25	instances	instance	NOUN
bracis-28370	142	26	.	.	PUNCT
bracis-28370	143	1	finally	finally	ADV
bracis-28370	143	2	,	,	PUNCT
bracis-28370	143	3	in	in	ADP
bracis-28370	143	4	humie	humie	NOUN
bracis-28370	143	5	we	we	PRON
bracis-28370	143	6	select	select	VERB
bracis-28370	143	7	3	3	NUM
bracis-28370	143	8	global	global	ADJ
bracis-28370	143	9	prototypes	prototype	NOUN
bracis-28370	143	10	(	(	PUNCT
bracis-28370	143	11	the	the	DET
bracis-28370	143	12	same	same	ADJ
bracis-28370	143	13	as	as	ADP
bracis-28370	143	14	in	in	ADP
bracis-28370	143	15	the	the	DET
bracis-28370	143	16	m	m	NOUN
bracis-28370	143	17	-	-	ADJ
bracis-28370	143	18	peer	peer	NOUN
bracis-28370	143	19	method	method	NOUN
bracis-28370	143	20	)	)	PUNCT
bracis-28370	143	21	to	to	PART
bracis-28370	143	22	generate	generate	VERB
bracis-28370	143	23	a	a	DET
bracis-28370	143	24	sublevel	sublevel	NOUN
bracis-28370	143	25	of	of	ADP
bracis-28370	143	26	6	6	NUM
bracis-28370	143	27	prototypes	prototype	NOUN
bracis-28370	143	28	that	that	PRON
bracis-28370	143	29	were	be	AUX
bracis-28370	143	30	then	then	ADV
bracis-28370	143	31	used	use	VERB
bracis-28370	143	32	to	to	PART
bracis-28370	143	33	explain	explain	VERB
bracis-28370	143	34	the	the	DET
bracis-28370	143	35	test	test	NOUN
bracis-28370	143	36	instances	instance	NOUN
bracis-28370	143	37	.	.	PUNCT
bracis-28370	144	1	the	the	DET
bracis-28370	144	2	results	result	NOUN
bracis-28370	144	3	obtained	obtain	VERB
bracis-28370	144	4	for	for	ADP
bracis-28370	144	5	each	each	DET
bracis-28370	144	6	dataset	dataset	NOUN
bracis-28370	144	7	are	be	AUX
bracis-28370	144	8	shown	show	VERB
bracis-28370	144	9	in	in	ADP
bracis-28370	144	10	table	table	NOUN
bracis-28370	144	11	 	 	SPACE
bracis-28370	144	12	2	2	NUM
bracis-28370	144	13	,	,	PUNCT
bracis-28370	144	14	where	where	SCONJ
bracis-28370	144	15	the	the	DET
bracis-28370	144	16	best	good	ADJ
bracis-28370	144	17	ones	one	NOUN
bracis-28370	144	18	are	be	AUX
bracis-28370	144	19	highlighted	highlight	VERB
bracis-28370	144	20	in	in	ADP
bracis-28370	144	21	bold	bold	ADJ
bracis-28370	144	22	.	.	PUNCT
bracis-28370	145	1	in	in	ADP
bracis-28370	145	2	addition	addition	NOUN
bracis-28370	145	3	,	,	PUNCT
bracis-28370	145	4	we	we	PRON
bracis-28370	145	5	show	show	VERB
bracis-28370	145	6	the	the	DET
bracis-28370	145	7	critical	critical	ADJ
bracis-28370	145	8	diagrams	diagram	NOUN
bracis-28370	145	9	of	of	ADP
bracis-28370	145	10	each	each	PRON
bracis-28370	145	11	of	of	ADP
bracis-28370	145	12	the	the	DET
bracis-28370	145	13	metrics	metric	NOUN
bracis-28370	145	14	in	in	ADP
bracis-28370	145	15	the	the	DET
bracis-28370	145	16	graphs	graph	NOUN
bracis-28370	145	17	in	in	ADP
bracis-28370	145	18	fig	fig	NOUN
bracis-28370	145	19	.	.	PUNCT
bracis-28370	145	20	 	 	SPACE
bracis-28370	146	1	2	2	X
bracis-28370	146	2	.	.	PUNCT
bracis-28370	147	1	these	these	DET
bracis-28370	147	2	diagrams	diagram	NOUN
bracis-28370	147	3	were	be	AUX
bracis-28370	147	4	generated	generate	VERB
bracis-28370	147	5	after	after	ADP
bracis-28370	147	6	carrying	carry	VERB
bracis-28370	147	7	out	out	ADP
bracis-28370	147	8	an	an	DET
bracis-28370	147	9	adapted	adapt	VERB
bracis-28370	147	10	friedman	friedman	NOUN
bracis-28370	147	11	test	test	NOUN
bracis-28370	147	12	followed	follow	VERB
bracis-28370	147	13	by	by	ADP
bracis-28370	147	14	a	a	DET
bracis-28370	147	15	nemenyi	nemenyi	NOUN
bracis-28370	147	16	post	post	NOUN
bracis-28370	147	17	-	-	ADJ
bracis-28370	147	18	hoc	hoc	X
bracis-28370	147	19	with	with	ADP
bracis-28370	147	20	a	a	DET
bracis-28370	147	21	significance	significance	NOUN
bracis-28370	147	22	level	level	NOUN
bracis-28370	147	23	of	of	ADP
bracis-28370	147	24	0.05	0.05	NUM
bracis-28370	147	25	.	.	PUNCT
bracis-28370	148	1	as	as	SCONJ
bracis-28370	148	2	we	we	PRON
bracis-28370	148	3	are	be	AUX
bracis-28370	148	4	comparing	compare	VERB
bracis-28370	148	5	multiple	multiple	ADJ
bracis-28370	148	6	approaches	approach	NOUN
bracis-28370	148	7	,	,	PUNCT
bracis-28370	148	8	bonferroni	bonferroni	PROPN
bracis-28370	148	9	’s	’s	PART
bracis-28370	148	10	correction	correction	NOUN
bracis-28370	148	11	was	be	AUX
bracis-28370	148	12	applied	apply	VERB
bracis-28370	148	13	to	to	ADP
bracis-28370	148	14	all	all	DET
bracis-28370	148	15	tests	test	NOUN
bracis-28370	148	16	[	[	X
bracis-28370	148	17	4	4	NUM
bracis-28370	148	18	]	]	PUNCT
bracis-28370	148	19	.	.	PUNCT
bracis-28370	149	1	in	in	ADP
bracis-28370	149	2	these	these	DET
bracis-28370	149	3	diagrams	diagram	NOUN
bracis-28370	149	4	,	,	PUNCT
bracis-28370	149	5	the	the	DET
bracis-28370	149	6	main	main	ADJ
bracis-28370	149	7	line	line	NOUN
bracis-28370	149	8	shows	show	VERB
bracis-28370	149	9	the	the	DET
bracis-28370	149	10	average	average	ADJ
bracis-28370	149	11	ranking	ranking	NOUN
bracis-28370	149	12	of	of	ADP
bracis-28370	149	13	the	the	DET
bracis-28370	149	14	methods	method	NOUN
bracis-28370	149	15	,	,	PUNCT
bracis-28370	149	16	i.e.	i.e.	X
bracis-28370	149	17	,	,	PUNCT
bracis-28370	149	18	how	how	SCONJ
bracis-28370	149	19	well	well	ADV
bracis-28370	149	20	one	one	NUM
bracis-28370	149	21	method	method	NOUN
bracis-28370	149	22	did	do	VERB
bracis-28370	149	23	when	when	SCONJ
bracis-28370	149	24	compared	compare	VERB
bracis-28370	149	25	to	to	ADP
bracis-28370	149	26	the	the	DET
bracis-28370	149	27	others	other	NOUN
bracis-28370	149	28	.	.	PUNCT
bracis-28370	150	1	this	this	DET
bracis-28370	150	2	ranking	ranking	NOUN
bracis-28370	150	3	takes	take	VERB
bracis-28370	150	4	into	into	ADP
bracis-28370	150	5	account	account	NOUN
bracis-28370	150	6	the	the	DET
bracis-28370	150	7	absolute	absolute	ADJ
bracis-28370	150	8	value	value	NOUN
bracis-28370	150	9	obtained	obtain	VERB
bracis-28370	150	10	by	by	ADP
bracis-28370	150	11	each	each	DET
bracis-28370	150	12	method	method	NOUN
bracis-28370	150	13	according	accord	VERB
bracis-28370	150	14	to	to	ADP
bracis-28370	150	15	the	the	DET
bracis-28370	150	16	evaluated	evaluate	VERB
bracis-28370	150	17	metric	metric	NOUN
bracis-28370	150	18	.	.	PUNCT
bracis-28370	151	1	the	the	DET
bracis-28370	151	2	best	good	ADJ
bracis-28370	151	3	methods	method	NOUN
bracis-28370	151	4	are	be	AUX
bracis-28370	151	5	shown	show	VERB
bracis-28370	151	6	on	on	ADP
bracis-28370	151	7	the	the	DET
bracis-28370	151	8	left	left	NOUN
bracis-28370	151	9	(	(	PUNCT
bracis-28370	151	10	lowest	low	ADJ
bracis-28370	151	11	rankings	ranking	NOUN
bracis-28370	151	12	)	)	PUNCT
bracis-28370	151	13	.	.	PUNCT
bracis-28370	152	1	table	table	NOUN
bracis-28370	152	2	2	2	NUM
bracis-28370	152	3	.	.	X
bracis-28370	152	4	result	result	NOUN
bracis-28370	152	5	of	of	ADP
bracis-28370	152	6	the	the	DET
bracis-28370	152	7	quality	quality	NOUN
bracis-28370	152	8	of	of	ADP
bracis-28370	152	9	the	the	DET
bracis-28370	152	10	prototypes	prototype	NOUN
bracis-28370	152	11	chosen	choose	VERB
bracis-28370	152	12	by	by	ADP
bracis-28370	152	13	different	different	ADJ
bracis-28370	152	14	methods	method	NOUN
bracis-28370	152	15	in	in	ADP
bracis-28370	152	16	the	the	DET
bracis-28370	152	17	local	local	ADJ
bracis-28370	152	18	explanation	explanation	NOUN
bracis-28370	152	19	of	of	ADP
bracis-28370	152	20	the	the	DET
bracis-28370	152	21	test	test	NOUN
bracis-28370	152	22	instances.full	instances.full	NOUN
bracis-28370	152	23	size	size	NOUN
bracis-28370	152	24	table	table	NOUN
bracis-28370	152	25	fig	fig	NOUN
bracis-28370	152	26	.	.	PUNCT
bracis-28370	153	1	2	2	X
bracis-28370	153	2	.	.	X
bracis-28370	153	3	critical	critical	ADJ
bracis-28370	153	4	diagrams	diagram	NOUN
bracis-28370	153	5	of	of	ADP
bracis-28370	153	6	the	the	DET
bracis-28370	153	7	choice	choice	NOUN
bracis-28370	153	8	of	of	ADP
bracis-28370	153	9	prototypes	prototype	NOUN
bracis-28370	153	10	for	for	ADP
bracis-28370	153	11	local	local	ADJ
bracis-28370	153	12	explanation	explanation	NOUN
bracis-28370	153	13	of	of	ADP
bracis-28370	153	14	test	test	NOUN
bracis-28370	153	15	instances	instance	NOUN
bracis-28370	153	16	according	accord	VERB
bracis-28370	153	17	to	to	ADP
bracis-28370	153	18	rmse	rmse	ADJ
bracis-28370	153	19	metrics	metric	NOUN
bracis-28370	153	20	(	(	PUNCT
bracis-28370	153	21	a	a	X
bracis-28370	153	22	)	)	PUNCT
bracis-28370	153	23	,	,	PUNCT
bracis-28370	153	24	global	global	ADJ
bracis-28370	153	25	stability	stability	NOUN
bracis-28370	153	26	(	(	PUNCT
bracis-28370	153	27	b	b	NOUN
bracis-28370	153	28	)	)	PUNCT
bracis-28370	153	29	,	,	PUNCT
bracis-28370	153	30	global	global	ADJ
bracis-28370	153	31	fidelity	fidelity	NOUN
bracis-28370	153	32	(	(	PUNCT
bracis-28370	153	33	c	c	NOUN
bracis-28370	153	34	)	)	PUNCT
bracis-28370	153	35	and	and	CCONJ
bracis-28370	153	36	gfs	gfs	NOUN
bracis-28370	153	37	(	(	PUNCT
bracis-28370	153	38	d	d	NOUN
bracis-28370	153	39	)	)	PUNCT
bracis-28370	153	40	.	.	PUNCT
bracis-28370	154	1	from	from	ADP
bracis-28370	154	2	left	left	ADJ
bracis-28370	154	3	to	to	ADP
bracis-28370	154	4	right	right	NOUN
bracis-28370	154	5	,	,	PUNCT
bracis-28370	154	6	methods	method	NOUN
bracis-28370	154	7	are	be	AUX
bracis-28370	154	8	ranked	rank	VERB
bracis-28370	154	9	according	accord	VERB
bracis-28370	154	10	to	to	ADP
bracis-28370	154	11	their	their	PRON
bracis-28370	154	12	performance	performance	NOUN
bracis-28370	154	13	,	,	PUNCT
bracis-28370	154	14	and	and	CCONJ
bracis-28370	154	15	those	those	PRON
bracis-28370	154	16	connected	connect	VERB
bracis-28370	154	17	by	by	ADP
bracis-28370	154	18	a	a	DET
bracis-28370	154	19	bold	bold	ADJ
bracis-28370	154	20	line	line	NOUN
bracis-28370	154	21	present	present	ADJ
bracis-28370	154	22	no	no	DET
bracis-28370	154	23	statistical	statistical	ADJ
bracis-28370	154	24	difference	difference	NOUN
bracis-28370	154	25	in	in	ADP
bracis-28370	154	26	their	their	PRON
bracis-28370	154	27	results	result	NOUN
bracis-28370	154	28	.	.	PUNCT
bracis-28370	155	1	full	full	ADJ
bracis-28370	155	2	size	size	NOUN
bracis-28370	155	3	image	image	NOUN
bracis-28370	155	4	as	as	SCONJ
bracis-28370	155	5	we	we	PRON
bracis-28370	155	6	can	can	AUX
bracis-28370	155	7	see	see	VERB
bracis-28370	155	8	,	,	PUNCT
bracis-28370	155	9	the	the	DET
bracis-28370	155	10	creation	creation	NOUN
bracis-28370	155	11	of	of	ADP
bracis-28370	155	12	a	a	DET
bracis-28370	155	13	prototype	prototype	NOUN
bracis-28370	155	14	explanation	explanation	NOUN
bracis-28370	155	15	intermediate	intermediate	ADJ
bracis-28370	155	16	level	level	NOUN
bracis-28370	155	17	managed	manage	VERB
bracis-28370	155	18	to	to	PART
bracis-28370	155	19	keep	keep	VERB
bracis-28370	155	20	the	the	DET
bracis-28370	155	21	same	same	ADJ
bracis-28370	155	22	rmse	rmse	NOUN
bracis-28370	155	23	as	as	ADP
bracis-28370	155	24	its	its	PRON
bracis-28370	155	25	competitors	competitor	NOUN
bracis-28370	155	26	,	,	PUNCT
bracis-28370	155	27	as	as	ADP
bracis-28370	155	28	not	not	PART
bracis-28370	155	29	method	method	NOUN
bracis-28370	155	30	was	be	AUX
bracis-28370	155	31	statistically	statistically	ADV
bracis-28370	155	32	superior	superior	ADJ
bracis-28370	155	33	than	than	ADP
bracis-28370	155	34	the	the	DET
bracis-28370	155	35	others	other	NOUN
bracis-28370	155	36	.	.	PUNCT
bracis-28370	156	1	furthermore	furthermore	ADV
bracis-28370	156	2	,	,	PUNCT
bracis-28370	156	3	humie	humie	PROPN
bracis-28370	156	4	was	be	AUX
bracis-28370	156	5	statistically	statistically	ADV
bracis-28370	156	6	better	well	ADJ
bracis-28370	156	7	than	than	ADP
bracis-28370	156	8	the	the	DET
bracis-28370	156	9	explanation	explanation	NOUN
bracis-28370	156	10	with	with	ADP
bracis-28370	156	11	only	only	ADV
bracis-28370	156	12	one	one	NUM
bracis-28370	156	13	m	m	ADJ
bracis-28370	156	14	-	-	PUNCT
bracis-28370	156	15	peer	peer	NOUN
bracis-28370	156	16	prototype	prototype	NOUN
bracis-28370	156	17	level	level	NOUN
bracis-28370	156	18	in	in	ADP
bracis-28370	156	19	relation	relation	NOUN
bracis-28370	156	20	to	to	ADP
bracis-28370	156	21	global	global	ADJ
bracis-28370	156	22	stability	stability	NOUN
bracis-28370	156	23	and	and	CCONJ
bracis-28370	156	24	gfs	gfs	PROPN
bracis-28370	156	25	.	.	PUNCT
bracis-28370	157	1	humie	humie	PROPN
bracis-28370	157	2	was	be	AUX
bracis-28370	157	3	also	also	ADV
bracis-28370	157	4	statistically	statistically	ADV
bracis-28370	157	5	better	well	ADJ
bracis-28370	157	6	than	than	ADP
bracis-28370	157	7	all	all	DET
bracis-28370	157	8	competitors	competitor	NOUN
bracis-28370	157	9	in	in	ADP
bracis-28370	157	10	terms	term	NOUN
bracis-28370	157	11	of	of	ADP
bracis-28370	157	12	the	the	DET
bracis-28370	157	13	global	global	ADJ
bracis-28370	157	14	fidelity	fidelity	NOUN
bracis-28370	157	15	of	of	ADP
bracis-28370	157	16	the	the	DET
bracis-28370	157	17	chosen	choose	VERB
bracis-28370	157	18	prototypes	prototype	NOUN
bracis-28370	157	19	.	.	PUNCT
bracis-28370	158	1	next	next	ADV
bracis-28370	158	2	,	,	PUNCT
bracis-28370	158	3	we	we	PRON
bracis-28370	158	4	show	show	VERB
bracis-28370	158	5	a	a	DET
bracis-28370	158	6	qualitative	qualitative	ADJ
bracis-28370	158	7	analysis	analysis	NOUN
bracis-28370	158	8	for	for	ADP
bracis-28370	158	9	auto	auto	NOUN
bracis-28370	158	10	-	-	PUNCT
bracis-28370	158	11	mpg	mpg	NOUN
bracis-28370	158	12	,	,	PUNCT
bracis-28370	158	13	which	which	PRON
bracis-28370	158	14	has	have	VERB
bracis-28370	158	15	398	398	NUM
bracis-28370	158	16	instances	instance	NOUN
bracis-28370	158	17	described	describe	VERB
bracis-28370	158	18	by	by	ADP
bracis-28370	158	19	8	8	NUM
bracis-28370	158	20	features	feature	NOUN
bracis-28370	158	21	.	.	PUNCT
bracis-28370	159	1	to	to	PART
bracis-28370	159	2	evaluate	evaluate	VERB
bracis-28370	159	3	the	the	DET
bracis-28370	159	4	model	model	NOUN
bracis-28370	159	5	error	error	NOUN
bracis-28370	159	6	,	,	PUNCT
bracis-28370	159	7	we	we	PRON
bracis-28370	159	8	divided	divide	VERB
bracis-28370	159	9	the	the	DET
bracis-28370	159	10	data	datum	NOUN
bracis-28370	159	11	into	into	ADP
bracis-28370	159	12	two	two	NUM
bracis-28370	159	13	subsets	subset	NOUN
bracis-28370	159	14	,	,	PUNCT
bracis-28370	159	15	the	the	DET
bracis-28370	159	16	first	first	ADJ
bracis-28370	159	17	being	be	AUX
bracis-28370	159	18	the	the	DET
bracis-28370	159	19	training	training	NOUN
bracis-28370	159	20	set	set	VERB
bracis-28370	159	21	with	with	ADP
bracis-28370	159	22	70	70	NUM
bracis-28370	159	23	%	%	NOUN
bracis-28370	159	24	of	of	ADP
bracis-28370	159	25	the	the	DET
bracis-28370	159	26	instances	instance	NOUN
bracis-28370	159	27	(	(	PUNCT
bracis-28370	159	28	279	279	NUM
bracis-28370	159	29	)	)	PUNCT
bracis-28370	159	30	and	and	CCONJ
bracis-28370	159	31	the	the	DET
bracis-28370	159	32	test	test	NOUN
bracis-28370	159	33	set	set	VERB
bracis-28370	159	34	with	with	ADP
bracis-28370	159	35	the	the	DET
bracis-28370	159	36	remaining	remain	VERB
bracis-28370	159	37	30	30	NUM
bracis-28370	159	38	%	%	NOUN
bracis-28370	159	39	(	(	PUNCT
bracis-28370	159	40	119	119	NUM
bracis-28370	159	41	)	)	PUNCT
bracis-28370	159	42	.	.	PUNCT
bracis-28370	160	1	note	note	VERB
bracis-28370	160	2	that	that	SCONJ
bracis-28370	160	3	,	,	PUNCT
bracis-28370	160	4	in	in	ADP
bracis-28370	160	5	this	this	DET
bracis-28370	160	6	case	case	NOUN
bracis-28370	160	7	,	,	PUNCT
bracis-28370	160	8	the	the	DET
bracis-28370	160	9	model	model	NOUN
bracis-28370	160	10	error	error	NOUN
bracis-28370	160	11	is	be	AUX
bracis-28370	160	12	used	use	VERB
bracis-28370	160	13	only	only	ADV
bracis-28370	160	14	to	to	PART
bracis-28370	160	15	identify	identify	VERB
bracis-28370	160	16	how	how	SCONJ
bracis-28370	160	17	good	good	ADJ
bracis-28370	160	18	the	the	DET
bracis-28370	160	19	explanation	explanation	NOUN
bracis-28370	160	20	model	model	NOUN
bracis-28370	160	21	is	be	AUX
bracis-28370	160	22	related	relate	VERB
bracis-28370	160	23	to	to	ADP
bracis-28370	160	24	the	the	DET
bracis-28370	160	25	original	original	ADJ
bracis-28370	160	26	regression	regression	NOUN
bracis-28370	160	27	model	model	NOUN
bracis-28370	160	28	to	to	PART
bracis-28370	160	29	be	be	AUX
bracis-28370	160	30	explained	explain	VERB
bracis-28370	160	31	.	.	PUNCT
bracis-28370	161	1	as	as	SCONJ
bracis-28370	161	2	our	our	PRON
bracis-28370	161	3	focus	focus	NOUN
bracis-28370	161	4	is	be	AUX
bracis-28370	161	5	the	the	DET
bracis-28370	161	6	explanation	explanation	NOUN
bracis-28370	161	7	provided	provide	VERB
bracis-28370	161	8	and	and	CCONJ
bracis-28370	161	9	not	not	PART
bracis-28370	161	10	minimizing	minimize	VERB
bracis-28370	161	11	the	the	DET
bracis-28370	161	12	error	error	NOUN
bracis-28370	161	13	,	,	PUNCT
bracis-28370	161	14	we	we	PRON
bracis-28370	161	15	do	do	AUX
bracis-28370	161	16	not	not	PART
bracis-28370	161	17	perform	perform	VERB
bracis-28370	161	18	any	any	DET
bracis-28370	161	19	further	further	ADJ
bracis-28370	161	20	evaluation	evaluation	NOUN
bracis-28370	161	21	,	,	PUNCT
bracis-28370	161	22	for	for	ADP
bracis-28370	161	23	example	example	NOUN
bracis-28370	161	24	,	,	PUNCT
bracis-28370	161	25	through	through	ADP
bracis-28370	161	26	cross	cross	NOUN
bracis-28370	161	27	-	-	NOUN
bracis-28370	161	28	validation	validation	NOUN
bracis-28370	161	29	.	.	PUNCT
bracis-28370	162	1	the	the	DET
bracis-28370	162	2	auto	auto	NOUN
bracis-28370	162	3	-	-	PUNCT
bracis-28370	162	4	mpg	mpg	NOUN
bracis-28370	162	5	dataset	dataset	NOUN
bracis-28370	162	6	portrays	portray	VERB
bracis-28370	162	7	a	a	DET
bracis-28370	162	8	classic	classic	ADJ
bracis-28370	162	9	regression	regression	NOUN
bracis-28370	162	10	problem	problem	NOUN
bracis-28370	162	11	whose	whose	DET
bracis-28370	162	12	objective	objective	NOUN
bracis-28370	162	13	is	be	AUX
bracis-28370	162	14	to	to	PART
bracis-28370	162	15	find	find	VERB
bracis-28370	162	16	the	the	DET
bracis-28370	162	17	consumption	consumption	NOUN
bracis-28370	162	18	of	of	ADP
bracis-28370	162	19	a	a	DET
bracis-28370	162	20	car	car	NOUN
bracis-28370	162	21	having	have	VERB
bracis-28370	162	22	as	as	SCONJ
bracis-28370	162	23	features	feature	NOUN
bracis-28370	162	24	constructive	constructive	ADJ
bracis-28370	162	25	characteristics	characteristic	NOUN
bracis-28370	162	26	of	of	ADP
bracis-28370	162	27	the	the	DET
bracis-28370	162	28	vehicle	vehicle	NOUN
bracis-28370	162	29	,	,	PUNCT
bracis-28370	162	30	they	they	PRON
bracis-28370	162	31	are	be	AUX
bracis-28370	162	32	:	:	PUNCT
bracis-28370	162	33	cylinders	cylinder	NOUN
bracis-28370	162	34	,	,	PUNCT
bracis-28370	162	35	displacement	displacement	NOUN
bracis-28370	162	36	,	,	PUNCT
bracis-28370	162	37	horsepower	horsepower	NOUN
bracis-28370	162	38	,	,	PUNCT
bracis-28370	162	39	weight	weight	NOUN
bracis-28370	162	40	,	,	PUNCT
bracis-28370	162	41	acceleration	acceleration	NOUN
bracis-28370	162	42	,	,	PUNCT
bracis-28370	162	43	model	model	NOUN
bracis-28370	162	44	year	year	NOUN
bracis-28370	162	45	and	and	CCONJ
bracis-28370	162	46	origin	origin	NOUN
bracis-28370	162	47	.	.	PUNCT
bracis-28370	163	1	to	to	PART
bracis-28370	163	2	evaluate	evaluate	VERB
bracis-28370	163	3	the	the	DET
bracis-28370	163	4	explanation	explanation	NOUN
bracis-28370	163	5	provided	provide	VERB
bracis-28370	163	6	by	by	ADP
bracis-28370	163	7	our	our	PRON
bracis-28370	163	8	humie	humie	NOUN
bracis-28370	163	9	approach	approach	NOUN
bracis-28370	163	10	we	we	PRON
bracis-28370	163	11	build	build	VERB
bracis-28370	163	12	a	a	DET
bracis-28370	163	13	model	model	NOUN
bracis-28370	163	14	using	use	VERB
bracis-28370	163	15	all	all	DET
bracis-28370	163	16	available	available	ADJ
bracis-28370	163	17	features	feature	NOUN
bracis-28370	163	18	in	in	ADP
bracis-28370	163	19	a	a	DET
bracis-28370	163	20	random	random	ADJ
bracis-28370	163	21	forest	forest	NOUN
bracis-28370	163	22	algorithm	algorithm	NOUN
bracis-28370	163	23	.	.	PUNCT
bracis-28370	164	1	the	the	DET
bracis-28370	164	2	rmse	rmse	NOUN
bracis-28370	164	3	error	error	NOUN
bracis-28370	164	4	found	find	VERB
bracis-28370	164	5	on	on	ADP
bracis-28370	164	6	the	the	DET
bracis-28370	164	7	test	test	NOUN
bracis-28370	164	8	set	set	NOUN
bracis-28370	164	9	was	be	AUX
bracis-28370	164	10	0.36	0.36	NUM
bracis-28370	164	11	.	.	PUNCT
bracis-28370	165	1	figure	figure	NOUN
bracis-28370	165	2	 	 	SPACE
bracis-28370	165	3	3	3	NUM
bracis-28370	165	4	shows	show	VERB
bracis-28370	165	5	the	the	DET
bracis-28370	165	6	explanation	explanation	NOUN
bracis-28370	165	7	provided	provide	VERB
bracis-28370	165	8	for	for	ADP
bracis-28370	165	9	the	the	DET
bracis-28370	165	10	model	model	NOUN
bracis-28370	165	11	.	.	PUNCT
bracis-28370	166	1	in	in	ADP
bracis-28370	166	2	the	the	DET
bracis-28370	166	3	explanations	explanation	NOUN
bracis-28370	166	4	provided	provide	VERB
bracis-28370	166	5	in	in	ADP
bracis-28370	166	6	this	this	DET
bracis-28370	166	7	work	work	NOUN
bracis-28370	166	8	we	we	PRON
bracis-28370	166	9	defined	define	VERB
bracis-28370	166	10	the	the	DET
bracis-28370	166	11	height	height	NOUN
bracis-28370	166	12	h	h	NOUN
bracis-28370	166	13	of	of	ADP
bracis-28370	166	14	the	the	DET
bracis-28370	166	15	tree	tree	NOUN
bracis-28370	166	16	as	as	ADP
bracis-28370	166	17	2	2	NUM
bracis-28370	166	18	and	and	CCONJ
bracis-28370	166	19	the	the	DET
bracis-28370	166	20	total	total	ADJ
bracis-28370	166	21	number	number	NOUN
bracis-28370	166	22	of	of	ADP
bracis-28370	166	23	prototypes	prototype	NOUN
bracis-28370	166	24	in	in	ADP
bracis-28370	166	25	the	the	DET
bracis-28370	166	26	global	global	ADJ
bracis-28370	166	27	explanation	explanation	NOUN
bracis-28370	166	28	of	of	ADP
bracis-28370	166	29	the	the	DET
bracis-28370	166	30	root	root	NOUN
bracis-28370	166	31	as	as	ADP
bracis-28370	166	32	3	3	NUM
bracis-28370	166	33	.	.	NOUN
bracis-28370	166	34	two	two	NUM
bracis-28370	166	35	test	test	NOUN
bracis-28370	166	36	instances	instance	NOUN
bracis-28370	166	37	,	,	PUNCT
bracis-28370	166	38	one	one	NUM
bracis-28370	166	39	with	with	ADP
bracis-28370	166	40	a	a	DET
bracis-28370	166	41	low	low	ADJ
bracis-28370	166	42	output	output	NOUN
bracis-28370	166	43	value	value	NOUN
bracis-28370	166	44	and	and	CCONJ
bracis-28370	166	45	another	another	PRON
bracis-28370	166	46	with	with	ADP
bracis-28370	166	47	a	a	DET
bracis-28370	166	48	high	high	ADJ
bracis-28370	166	49	output	output	NOUN
bracis-28370	166	50	value	value	NOUN
bracis-28370	166	51	,	,	PUNCT
bracis-28370	166	52	were	be	AUX
bracis-28370	166	53	previously	previously	ADV
bracis-28370	166	54	selected	select	VERB
bracis-28370	166	55	for	for	ADP
bracis-28370	166	56	local	local	ADJ
bracis-28370	166	57	explanation	explanation	NOUN
bracis-28370	166	58	.	.	PUNCT
bracis-28370	167	1	fig	fig	NOUN
bracis-28370	167	2	.	.	PUNCT
bracis-28370	168	1	3	3	X
bracis-28370	168	2	.	.	X
bracis-28370	168	3	hybrid	hybrid	ADJ
bracis-28370	168	4	tree	tree	NOUN
bracis-28370	168	5	explanation	explanation	NOUN
bracis-28370	168	6	for	for	ADP
bracis-28370	168	7	the	the	DET
bracis-28370	168	8	auto	auto	NOUN
bracis-28370	168	9	-	-	PUNCT
bracis-28370	168	10	mpg	mpg	NOUN
bracis-28370	168	11	dataset	dataset	NOUN
bracis-28370	168	12	.	.	PUNCT
bracis-28370	169	1	(	(	PUNCT
bracis-28370	169	2	color	color	NOUN
bracis-28370	169	3	figure	figure	NOUN
bracis-28370	169	4	online	online	ADV
bracis-28370	169	5	)	)	PUNCT
bracis-28370	169	6	full	full	ADJ
bracis-28370	169	7	size	size	NOUN
bracis-28370	169	8	image	image	NOUN
bracis-28370	169	9	in	in	ADP
bracis-28370	169	10	the	the	DET
bracis-28370	169	11	explanation	explanation	NOUN
bracis-28370	169	12	,	,	PUNCT
bracis-28370	169	13	each	each	DET
bracis-28370	169	14	node	node	NOUN
bracis-28370	169	15	highlighted	highlight	VERB
bracis-28370	169	16	in	in	ADP
bracis-28370	169	17	gray	gray	ADJ
bracis-28370	169	18	represents	represent	VERB
bracis-28370	169	19	a	a	DET
bracis-28370	169	20	prototype	prototype	NOUN
bracis-28370	169	21	selected	select	VERB
bracis-28370	169	22	from	from	ADP
bracis-28370	169	23	the	the	DET
bracis-28370	169	24	training	training	NOUN
bracis-28370	169	25	set	set	NOUN
bracis-28370	169	26	and	and	CCONJ
bracis-28370	169	27	the	the	DET
bracis-28370	169	28	nodes	node	NOUN
bracis-28370	169	29	,	,	PUNCT
bracis-28370	169	30	highlighted	highlight	VERB
bracis-28370	169	31	in	in	ADP
bracis-28370	169	32	red	red	PROPN
bracis-28370	169	33	represent	represent	VERB
bracis-28370	169	34	two	two	NUM
bracis-28370	169	35	test	test	NOUN
bracis-28370	169	36	instances	instance	NOUN
bracis-28370	169	37	selected	select	VERB
bracis-28370	169	38	for	for	ADP
bracis-28370	169	39	local	local	ADJ
bracis-28370	169	40	explanation	explanation	NOUN
bracis-28370	169	41	.	.	PUNCT
bracis-28370	170	1	in	in	ADP
bracis-28370	170	2	addition	addition	NOUN
bracis-28370	170	3	,	,	PUNCT
bracis-28370	170	4	within	within	ADP
bracis-28370	170	5	each	each	PRON
bracis-28370	170	6	of	of	ADP
bracis-28370	170	7	the	the	DET
bracis-28370	170	8	nodes	node	NOUN
bracis-28370	170	9	,	,	PUNCT
bracis-28370	170	10	the	the	DET
bracis-28370	170	11	actual	actual	ADJ
bracis-28370	170	12	output	output	NOUN
bracis-28370	170	13	value	value	NOUN
bracis-28370	170	14	of	of	ADP
bracis-28370	170	15	the	the	DET
bracis-28370	170	16	instance	instance	NOUN
bracis-28370	170	17	(	(	PUNCT
bracis-28370	170	18	y	y	NOUN
bracis-28370	170	19	)	)	PUNCT
bracis-28370	170	20	and	and	CCONJ
bracis-28370	170	21	the	the	DET
bracis-28370	170	22	respective	respective	ADJ
bracis-28370	170	23	value	value	NOUN
bracis-28370	170	24	predicted	predict	VERB
bracis-28370	170	25	by	by	ADP
bracis-28370	170	26	the	the	DET
bracis-28370	170	27	regressor	regressor	NOUN
bracis-28370	170	28	model	model	NOUN
bracis-28370	170	29	(	(	PUNCT
bracis-28370	170	30	\(y'\	\(y'\	PROPN
bracis-28370	170	31	)	)	PUNCT
bracis-28370	170	32	)	)	PUNCT
bracis-28370	170	33	are	be	AUX
bracis-28370	170	34	presented	present	VERB
bracis-28370	170	35	in	in	ADP
bracis-28370	170	36	the	the	DET
bracis-28370	170	37	first	first	ADJ
bracis-28370	170	38	line	line	NOUN
bracis-28370	170	39	.	.	PUNCT
bracis-28370	171	1	the	the	DET
bracis-28370	171	2	other	other	ADJ
bracis-28370	171	3	lines	line	NOUN
bracis-28370	171	4	of	of	ADP
bracis-28370	171	5	the	the	DET
bracis-28370	171	6	tree	tree	NOUN
bracis-28370	171	7	node	node	NOUN
bracis-28370	171	8	represent	represent	VERB
bracis-28370	171	9	the	the	DET
bracis-28370	171	10	5	5	NUM
bracis-28370	171	11	main	main	ADJ
bracis-28370	171	12	features	feature	NOUN
bracis-28370	171	13	identified	identify	VERB
bracis-28370	171	14	for	for	ADP
bracis-28370	171	15	that	that	DET
bracis-28370	171	16	instance	instance	NOUN
bracis-28370	171	17	with	with	ADP
bracis-28370	171	18	their	their	PRON
bracis-28370	171	19	respective	respective	ADJ
bracis-28370	171	20	value	value	NOUN
bracis-28370	171	21	(	(	PUNCT
bracis-28370	171	22	the	the	DET
bracis-28370	171	23	most	most	ADV
bracis-28370	171	24	relevant	relevant	ADJ
bracis-28370	171	25	number	number	NOUN
bracis-28370	171	26	of	of	ADP
bracis-28370	171	27	features	feature	NOUN
bracis-28370	171	28	to	to	PART
bracis-28370	171	29	be	be	AUX
bracis-28370	171	30	shown	show	VERB
bracis-28370	171	31	can	can	AUX
bracis-28370	171	32	easily	easily	ADV
bracis-28370	171	33	be	be	AUX
bracis-28370	171	34	changed	change	VERB
bracis-28370	171	35	if	if	SCONJ
bracis-28370	171	36	the	the	DET
bracis-28370	171	37	user	user	NOUN
bracis-28370	171	38	wants	want	VERB
bracis-28370	171	39	to	to	PART
bracis-28370	171	40	)	)	PUNCT
bracis-28370	171	41	.	.	PUNCT
bracis-28370	172	1	the	the	DET
bracis-28370	172	2	bars	bar	NOUN
bracis-28370	172	3	represent	represent	VERB
bracis-28370	172	4	the	the	DET
bracis-28370	172	5	observed	observe	VERB
bracis-28370	172	6	threshold	threshold	NOUN
bracis-28370	172	7	values	value	NOUN
bracis-28370	172	8	between	between	ADP
bracis-28370	172	9	all	all	DET
bracis-28370	172	10	valid	valid	ADJ
bracis-28370	172	11	closest	close	ADJ
bracis-28370	172	12	points	point	NOUN
bracis-28370	172	13	when	when	SCONJ
bracis-28370	172	14	finding	find	VERB
bracis-28370	172	15	the	the	DET
bracis-28370	172	16	prototype	prototype	NOUN
bracis-28370	172	17	.	.	PUNCT
bracis-28370	173	1	in	in	ADP
bracis-28370	173	2	the	the	DET
bracis-28370	173	3	case	case	NOUN
bracis-28370	173	4	of	of	ADP
bracis-28370	173	5	the	the	DET
bracis-28370	173	6	first	first	ADJ
bracis-28370	173	7	upper	upper	ADJ
bracis-28370	173	8	level	level	NOUN
bracis-28370	173	9	(	(	PUNCT
bracis-28370	173	10	root	root	NOUN
bracis-28370	173	11	of	of	ADP
bracis-28370	173	12	the	the	DET
bracis-28370	173	13	tree	tree	NOUN
bracis-28370	173	14	)	)	PUNCT
bracis-28370	173	15	the	the	DET
bracis-28370	173	16	limit	limit	NOUN
bracis-28370	173	17	is	be	AUX
bracis-28370	173	18	imposed	impose	VERB
bracis-28370	173	19	by	by	ADP
bracis-28370	173	20	the	the	DET
bracis-28370	173	21	values	value	NOUN
bracis-28370	173	22	of	of	ADP
bracis-28370	173	23	all	all	DET
bracis-28370	173	24	instances	instance	NOUN
bracis-28370	173	25	of	of	ADP
bracis-28370	173	26	the	the	DET
bracis-28370	173	27	training	training	NOUN
bracis-28370	173	28	set	set	NOUN
bracis-28370	173	29	.	.	PUNCT
bracis-28370	174	1	in	in	ADP
bracis-28370	174	2	the	the	DET
bracis-28370	174	3	case	case	NOUN
bracis-28370	174	4	of	of	ADP
bracis-28370	174	5	the	the	DET
bracis-28370	174	6	test	test	NOUN
bracis-28370	174	7	node	node	NOUN
bracis-28370	174	8	the	the	DET
bracis-28370	174	9	limit	limit	NOUN
bracis-28370	174	10	is	be	AUX
bracis-28370	174	11	imposed	impose	VERB
bracis-28370	174	12	by	by	ADP
bracis-28370	174	13	all	all	DET
bracis-28370	174	14	the	the	DET
bracis-28370	174	15	closest	close	ADJ
bracis-28370	174	16	features	feature	NOUN
bracis-28370	174	17	that	that	PRON
bracis-28370	174	18	originated	originate	VERB
bracis-28370	174	19	the	the	DET
bracis-28370	174	20	prototype	prototype	NOUN
bracis-28370	174	21	local	local	ADJ
bracis-28370	174	22	explanation	explanation	NOUN
bracis-28370	174	23	leaf	leaf	NOUN
bracis-28370	174	24	(	(	PUNCT
bracis-28370	174	25	leaf	leaf	NOUN
bracis-28370	174	26	node	node	NOUN
bracis-28370	174	27	of	of	ADP
bracis-28370	174	28	the	the	DET
bracis-28370	174	29	hybrid	hybrid	ADJ
bracis-28370	174	30	explanation	explanation	NOUN
bracis-28370	174	31	tree	tree	NOUN
bracis-28370	174	32	)	)	PUNCT
bracis-28370	174	33	.	.	PUNCT
bracis-28370	175	1	the	the	DET
bracis-28370	175	2	red	red	ADJ
bracis-28370	175	3	dot	dot	NOUN
bracis-28370	175	4	represents	represent	VERB
bracis-28370	175	5	the	the	DET
bracis-28370	175	6	feature	feature	NOUN
bracis-28370	175	7	-	-	PUNCT
bracis-28370	175	8	specific	specific	ADJ
bracis-28370	175	9	value	value	NOUN
bracis-28370	175	10	for	for	ADP
bracis-28370	175	11	the	the	DET
bracis-28370	175	12	instance	instance	NOUN
bracis-28370	175	13	.	.	PUNCT
bracis-28370	176	1	the	the	DET
bracis-28370	176	2	green	green	ADJ
bracis-28370	176	3	range	range	NOUN
bracis-28370	176	4	represents	represent	VERB
bracis-28370	176	5	the	the	DET
bracis-28370	176	6	allowable	allowable	ADJ
bracis-28370	176	7	variation	variation	NOUN
bracis-28370	176	8	for	for	ADP
bracis-28370	176	9	creating	create	VERB
bracis-28370	176	10	a	a	DET
bracis-28370	176	11	similar	similar	ADJ
bracis-28370	176	12	instance	instance	NOUN
bracis-28370	176	13	,	,	PUNCT
bracis-28370	176	14	determined	determine	VERB
bracis-28370	176	15	by	by	ADP
bracis-28370	176	16	the	the	DET
bracis-28370	176	17	dela	dela	PROPN
bracis-28370	176	18	method	method	NOUN
bracis-28370	176	19	.	.	PUNCT
bracis-28370	177	1	specifically	specifically	ADV
bracis-28370	177	2	,	,	PUNCT
bracis-28370	177	3	it	it	PRON
bracis-28370	177	4	represents	represent	VERB
bracis-28370	177	5	the	the	DET
bracis-28370	177	6	range	range	NOUN
bracis-28370	177	7	of	of	ADP
bracis-28370	177	8	feature	feature	NOUN
bracis-28370	177	9	values	value	NOUN
bracis-28370	177	10	found	find	VERB
bracis-28370	177	11	among	among	ADP
bracis-28370	177	12	instances	instance	NOUN
bracis-28370	177	13	that	that	PRON
bracis-28370	177	14	deviate	deviate	VERB
bracis-28370	177	15	no	no	DET
bracis-28370	177	16	more	more	ADJ
bracis-28370	177	17	than	than	ADP
bracis-28370	177	18	10	10	NUM
bracis-28370	177	19	%	%	NOUN
bracis-28370	177	20	from	from	ADP
bracis-28370	177	21	the	the	DET
bracis-28370	177	22	output	output	NOUN
bracis-28370	177	23	predicted	predict	VERB
bracis-28370	177	24	by	by	ADP
bracis-28370	177	25	the	the	DET
bracis-28370	177	26	model	model	NOUN
bracis-28370	177	27	.	.	PUNCT
bracis-28370	178	1	when	when	SCONJ
bracis-28370	178	2	hovering	hover	VERB
bracis-28370	178	3	over	over	ADP
bracis-28370	178	4	one	one	NUM
bracis-28370	178	5	of	of	ADP
bracis-28370	178	6	the	the	DET
bracis-28370	178	7	features	feature	NOUN
bracis-28370	178	8	,	,	PUNCT
bracis-28370	178	9	the	the	DET
bracis-28370	178	10	green	green	ADJ
bracis-28370	178	11	range	range	NOUN
bracis-28370	178	12	is	be	AUX
bracis-28370	178	13	shown	show	VERB
bracis-28370	178	14	numerically	numerically	ADV
bracis-28370	178	15	with	with	ADP
bracis-28370	178	16	a	a	DET
bracis-28370	178	17	highlight	highlight	NOUN
bracis-28370	178	18	balloon	balloon	NOUN
bracis-28370	178	19	for	for	ADP
bracis-28370	178	20	the	the	DET
bracis-28370	178	21	user	user	NOUN
bracis-28370	178	22	.	.	PUNCT
bracis-28370	179	1	note	note	VERB
bracis-28370	179	2	that	that	SCONJ
bracis-28370	179	3	the	the	DET
bracis-28370	179	4	global	global	ADJ
bracis-28370	179	5	explanation	explanation	NOUN
bracis-28370	179	6	prototypes	prototype	NOUN
bracis-28370	179	7	managed	manage	VERB
bracis-28370	179	8	to	to	PART
bracis-28370	179	9	cover	cover	VERB
bracis-28370	179	10	the	the	DET
bracis-28370	179	11	solution	solution	NOUN
bracis-28370	179	12	space	space	NOUN
bracis-28370	179	13	well	well	ADV
bracis-28370	179	14	,	,	PUNCT
bracis-28370	179	15	with	with	ADP
bracis-28370	179	16	the	the	DET
bracis-28370	179	17	first	first	ADJ
bracis-28370	179	18	prototype	prototype	NOUN
bracis-28370	179	19	being	be	AUX
bracis-28370	179	20	a	a	DET
bracis-28370	179	21	high	high	ADJ
bracis-28370	179	22	fuel	fuel	NOUN
bracis-28370	179	23	consumption	consumption	NOUN
bracis-28370	179	24	car	car	NOUN
bracis-28370	179	25	(	(	PUNCT
bracis-28370	179	26	14.5	14.5	NUM
bracis-28370	179	27	mpg	mpg	NOUN
bracis-28370	179	28	)	)	PUNCT
bracis-28370	179	29	,	,	PUNCT
bracis-28370	179	30	the	the	DET
bracis-28370	179	31	second	second	ADJ
bracis-28370	179	32	an	an	DET
bracis-28370	179	33	intermediate	intermediate	ADJ
bracis-28370	179	34	consumption	consumption	NOUN
bracis-28370	179	35	car	car	NOUN
bracis-28370	179	36	(	(	PUNCT
bracis-28370	179	37	19.08	19.08	NUM
bracis-28370	179	38	mpg	mpg	NOUN
bracis-28370	179	39	)	)	PUNCT
bracis-28370	179	40	and	and	CCONJ
bracis-28370	179	41	the	the	DET
bracis-28370	179	42	last	last	ADJ
bracis-28370	179	43	one	one	NOUN
bracis-28370	179	44	a	a	DET
bracis-28370	179	45	low	low	ADJ
bracis-28370	179	46	fuel	fuel	NOUN
bracis-28370	179	47	consumption	consumption	NOUN
bracis-28370	179	48	car	car	NOUN
bracis-28370	179	49	of	of	ADP
bracis-28370	179	50	fuel	fuel	NOUN
bracis-28370	179	51	(	(	PUNCT
bracis-28370	179	52	28.05	28.05	NUM
bracis-28370	179	53	mpg	mpg	NOUN
bracis-28370	179	54	)	)	PUNCT
bracis-28370	179	55	.	.	PUNCT
bracis-28370	180	1	in	in	ADP
bracis-28370	180	2	addition	addition	NOUN
bracis-28370	180	3	,	,	PUNCT
bracis-28370	180	4	among	among	ADP
bracis-28370	180	5	the	the	DET
bracis-28370	180	6	most	most	ADV
bracis-28370	180	7	relevant	relevant	ADJ
bracis-28370	180	8	features	feature	NOUN
bracis-28370	180	9	at	at	ADP
bracis-28370	180	10	this	this	DET
bracis-28370	180	11	level	level	NOUN
bracis-28370	180	12	,	,	PUNCT
bracis-28370	180	13	we	we	PRON
bracis-28370	180	14	find	find	VERB
bracis-28370	180	15	those	those	PRON
bracis-28370	180	16	that	that	PRON
bracis-28370	180	17	domain	domain	NOUN
bracis-28370	180	18	experts	expert	NOUN
bracis-28370	180	19	traditionally	traditionally	ADV
bracis-28370	180	20	portray	portray	VERB
bracis-28370	180	21	as	as	ADP
bracis-28370	180	22	determining	determine	VERB
bracis-28370	180	23	the	the	DET
bracis-28370	180	24	consumption	consumption	NOUN
bracis-28370	180	25	of	of	ADP
bracis-28370	180	26	a	a	DET
bracis-28370	180	27	car	car	NOUN
bracis-28370	180	28	,	,	PUNCT
bracis-28370	180	29	we	we	PRON
bracis-28370	180	30	can	can	AUX
bracis-28370	180	31	highlight	highlight	VERB
bracis-28370	180	32	:	:	PUNCT
bracis-28370	180	33	weight	weight	NOUN
bracis-28370	180	34	,	,	PUNCT
bracis-28370	180	35	displacement	displacement	NOUN
bracis-28370	180	36	,	,	PUNCT
bracis-28370	180	37	horsepower	horsepower	NOUN
bracis-28370	180	38	and	and	CCONJ
bracis-28370	180	39	acceleration	acceleration	NOUN
bracis-28370	180	40	.	.	PUNCT
bracis-28370	181	1	in	in	ADP
bracis-28370	181	2	the	the	DET
bracis-28370	181	3	second	second	ADJ
bracis-28370	181	4	level	level	NOUN
bracis-28370	181	5	(	(	PUNCT
bracis-28370	181	6	intermediate	intermediate	ADJ
bracis-28370	181	7	explanation	explanation	NOUN
bracis-28370	181	8	)	)	PUNCT
bracis-28370	181	9	we	we	PRON
bracis-28370	181	10	observe	observe	VERB
bracis-28370	181	11	that	that	SCONJ
bracis-28370	181	12	the	the	DET
bracis-28370	181	13	prototypes	prototype	NOUN
bracis-28370	181	14	really	really	ADV
bracis-28370	181	15	represent	represent	VERB
bracis-28370	181	16	subgroups	subgroup	NOUN
bracis-28370	181	17	of	of	ADP
bracis-28370	181	18	the	the	DET
bracis-28370	181	19	prototypes	prototype	NOUN
bracis-28370	181	20	of	of	ADP
bracis-28370	181	21	the	the	DET
bracis-28370	181	22	global	global	ADJ
bracis-28370	181	23	explanation	explanation	NOUN
bracis-28370	181	24	.	.	PUNCT
bracis-28370	182	1	this	this	DET
bracis-28370	182	2	observation	observation	NOUN
bracis-28370	182	3	can	can	AUX
bracis-28370	182	4	be	be	AUX
bracis-28370	182	5	made	make	VERB
bracis-28370	182	6	both	both	PRON
bracis-28370	182	7	in	in	ADP
bracis-28370	182	8	terms	term	NOUN
bracis-28370	182	9	of	of	ADP
bracis-28370	182	10	the	the	DET
bracis-28370	182	11	output	output	NOUN
bracis-28370	182	12	returned	return	VERB
bracis-28370	182	13	by	by	ADP
bracis-28370	182	14	the	the	DET
bracis-28370	182	15	model	model	NOUN
bracis-28370	182	16	and	and	CCONJ
bracis-28370	182	17	the	the	DET
bracis-28370	182	18	range	range	NOUN
bracis-28370	182	19	for	for	ADP
bracis-28370	182	20	each	each	PRON
bracis-28370	182	21	of	of	ADP
bracis-28370	182	22	the	the	DET
bracis-28370	182	23	features	feature	NOUN
bracis-28370	182	24	.	.	PUNCT
bracis-28370	183	1	in	in	ADP
bracis-28370	183	2	the	the	DET
bracis-28370	183	3	output	output	NOUN
bracis-28370	183	4	we	we	PRON
bracis-28370	183	5	can	can	AUX
bracis-28370	183	6	observe	observe	VERB
bracis-28370	183	7	that	that	SCONJ
bracis-28370	183	8	the	the	DET
bracis-28370	183	9	values	value	NOUN
bracis-28370	183	10	obtained	obtain	VERB
bracis-28370	183	11	do	do	AUX
bracis-28370	183	12	not	not	PART
bracis-28370	183	13	extrapolate	extrapolate	VERB
bracis-28370	183	14	to	to	ADP
bracis-28370	183	15	values	value	NOUN
bracis-28370	183	16	of	of	ADP
bracis-28370	183	17	the	the	DET
bracis-28370	183	18	side	side	NOUN
bracis-28370	183	19	prototypes	prototype	NOUN
bracis-28370	183	20	of	of	ADP
bracis-28370	183	21	the	the	DET
bracis-28370	183	22	previous	previous	ADJ
bracis-28370	183	23	level	level	NOUN
bracis-28370	183	24	.	.	PUNCT
bracis-28370	184	1	in	in	ADP
bracis-28370	184	2	the	the	DET
bracis-28370	184	3	range	range	NOUN
bracis-28370	184	4	of	of	ADP
bracis-28370	184	5	features	feature	NOUN
bracis-28370	184	6	,	,	PUNCT
bracis-28370	184	7	we	we	PRON
bracis-28370	184	8	observed	observe	VERB
bracis-28370	184	9	,	,	PUNCT
bracis-28370	184	10	for	for	ADP
bracis-28370	184	11	example	example	NOUN
bracis-28370	184	12	,	,	PUNCT
bracis-28370	184	13	that	that	SCONJ
bracis-28370	184	14	in	in	ADP
bracis-28370	184	15	the	the	DET
bracis-28370	184	16	first	first	ADJ
bracis-28370	184	17	prototype	prototype	NOUN
bracis-28370	184	18	of	of	ADP
bracis-28370	184	19	the	the	DET
bracis-28370	184	20	second	second	ADJ
bracis-28370	184	21	level	level	NOUN
bracis-28370	184	22	the	the	DET
bracis-28370	184	23	displacement	displacement	ADJ
bracis-28370	184	24	feature	feature	NOUN
bracis-28370	184	25	varied	varied	ADJ
bracis-28370	184	26	between	between	ADP
bracis-28370	184	27	260	260	NUM
bracis-28370	184	28	and	and	CCONJ
bracis-28370	184	29	455	455	NUM
bracis-28370	184	30	while	while	SCONJ
bracis-28370	184	31	in	in	ADP
bracis-28370	184	32	its	its	PRON
bracis-28370	184	33	parent	parent	NOUN
bracis-28370	184	34	prototype	prototype	NOUN
bracis-28370	184	35	these	these	DET
bracis-28370	184	36	values	value	NOUN
bracis-28370	184	37	varied	vary	VERB
bracis-28370	184	38	between	between	ADP
bracis-28370	184	39	68	68	NUM
bracis-28370	184	40	and	and	CCONJ
bracis-28370	184	41	455	455	NUM
bracis-28370	184	42	,	,	PUNCT
bracis-28370	184	43	portraying	portray	VERB
bracis-28370	184	44	a	a	DET
bracis-28370	184	45	specification	specification	NOUN
bracis-28370	184	46	of	of	ADP
bracis-28370	184	47	the	the	DET
bracis-28370	184	48	group	group	NOUN
bracis-28370	184	49	.	.	PUNCT
bracis-28370	185	1	finally	finally	ADV
bracis-28370	185	2	,	,	PUNCT
bracis-28370	185	3	we	we	PRON
bracis-28370	185	4	can	can	AUX
bracis-28370	185	5	also	also	ADV
bracis-28370	185	6	observe	observe	VERB
bracis-28370	185	7	that	that	SCONJ
bracis-28370	185	8	the	the	DET
bracis-28370	185	9	l2fs	l2fs	PROPN
bracis-28370	185	10	similarity	similarity	NOUN
bracis-28370	185	11	metric	metric	NOUN
bracis-28370	185	12	was	be	AUX
bracis-28370	185	13	adequate	adequate	ADJ
bracis-28370	185	14	when	when	SCONJ
bracis-28370	185	15	associating	associate	VERB
bracis-28370	185	16	the	the	DET
bracis-28370	185	17	leaf	leaf	NOUN
bracis-28370	185	18	prototypes	prototype	NOUN
bracis-28370	185	19	of	of	ADP
bracis-28370	185	20	the	the	DET
bracis-28370	185	21	explanation	explanation	NOUN
bracis-28370	185	22	tree	tree	NOUN
bracis-28370	185	23	with	with	ADP
bracis-28370	185	24	the	the	DET
bracis-28370	185	25	test	test	NOUN
bracis-28370	185	26	instances	instance	NOUN
bracis-28370	185	27	,	,	PUNCT
bracis-28370	185	28	since	since	SCONJ
bracis-28370	185	29	both	both	CCONJ
bracis-28370	185	30	the	the	DET
bracis-28370	185	31	values	value	NOUN
bracis-28370	185	32	returned	return	VERB
bracis-28370	185	33	by	by	ADP
bracis-28370	185	34	the	the	DET
bracis-28370	185	35	regressor	regressor	NOUN
bracis-28370	185	36	model	model	NOUN
bracis-28370	185	37	and	and	CCONJ
bracis-28370	185	38	the	the	DET
bracis-28370	185	39	feature	feature	NOUN
bracis-28370	185	40	intervals	interval	NOUN
bracis-28370	185	41	represent	represent	VERB
bracis-28370	185	42	the	the	DET
bracis-28370	185	43	best	good	ADJ
bracis-28370	185	44	possible	possible	ADJ
bracis-28370	185	45	association	association	NOUN
bracis-28370	185	46	in	in	ADP
bracis-28370	185	47	each	each	DET
bracis-28370	185	48	specific	specific	ADJ
bracis-28370	185	49	scenario	scenario	NOUN
bracis-28370	185	50	.	.	PUNCT
bracis-28370	186	1	fig	fig	NOUN
bracis-28370	186	2	.	.	PUNCT
bracis-28370	187	1	4	4	X
bracis-28370	187	2	.	.	X
bracis-28370	187	3	lime	lime	NOUN
bracis-28370	187	4	explanation	explanation	NOUN
bracis-28370	187	5	for	for	ADP
bracis-28370	187	6	the	the	DET
bracis-28370	187	7	auto	auto	NOUN
bracis-28370	187	8	-	-	PUNCT
bracis-28370	187	9	mpg	mpg	NOUN
bracis-28370	187	10	dataset	dataset	NOUN
bracis-28370	187	11	full	full	ADJ
bracis-28370	187	12	size	size	NOUN
bracis-28370	187	13	image	image	NOUN
bracis-28370	187	14	note	note	VERB
bracis-28370	187	15	that	that	SCONJ
bracis-28370	187	16	an	an	DET
bracis-28370	187	17	explanation	explanation	NOUN
bracis-28370	187	18	provided	provide	VERB
bracis-28370	187	19	by	by	ADP
bracis-28370	187	20	the	the	DET
bracis-28370	187	21	m	m	NOUN
bracis-28370	187	22	-	-	NOUN
bracis-28370	187	23	peer	peer	NOUN
bracis-28370	187	24	for	for	ADP
bracis-28370	187	25	this	this	DET
bracis-28370	187	26	dataset	dataset	NOUN
bracis-28370	187	27	would	would	AUX
bracis-28370	187	28	only	only	ADV
bracis-28370	187	29	consist	consist	VERB
bracis-28370	187	30	of	of	ADP
bracis-28370	187	31	the	the	DET
bracis-28370	187	32	3	3	NUM
bracis-28370	187	33	instances	instance	NOUN
bracis-28370	187	34	represented	represent	VERB
bracis-28370	187	35	at	at	ADP
bracis-28370	187	36	the	the	DET
bracis-28370	187	37	root	root	NOUN
bracis-28370	187	38	level	level	NOUN
bracis-28370	187	39	of	of	ADP
bracis-28370	187	40	the	the	DET
bracis-28370	187	41	explanation	explanation	NOUN
bracis-28370	187	42	tree	tree	NOUN
bracis-28370	187	43	.	.	PUNCT
bracis-28370	188	1	in	in	ADP
bracis-28370	188	2	this	this	DET
bracis-28370	188	3	context	context	NOUN
bracis-28370	188	4	,	,	PUNCT
bracis-28370	188	5	we	we	PRON
bracis-28370	188	6	would	would	AUX
bracis-28370	188	7	only	only	ADV
bracis-28370	188	8	have	have	VERB
bracis-28370	188	9	information	information	NOUN
bracis-28370	188	10	about	about	ADP
bracis-28370	188	11	the	the	DET
bracis-28370	188	12	values	value	NOUN
bracis-28370	188	13	for	for	ADP
bracis-28370	188	14	each	each	PRON
bracis-28370	188	15	of	of	ADP
bracis-28370	188	16	the	the	DET
bracis-28370	188	17	features	feature	NOUN
bracis-28370	188	18	for	for	ADP
bracis-28370	188	19	these	these	DET
bracis-28370	188	20	instances	instance	NOUN
bracis-28370	188	21	.	.	PUNCT
bracis-28370	189	1	we	we	PRON
bracis-28370	189	2	can	can	AUX
bracis-28370	189	3	also	also	ADV
bracis-28370	189	4	compare	compare	VERB
bracis-28370	189	5	our	our	PRON
bracis-28370	189	6	explanation	explanation	NOUN
bracis-28370	189	7	with	with	ADP
bracis-28370	189	8	what	what	PRON
bracis-28370	189	9	we	we	PRON
bracis-28370	189	10	could	could	AUX
bracis-28370	189	11	obtain	obtain	VERB
bracis-28370	189	12	from	from	ADP
bracis-28370	189	13	a	a	DET
bracis-28370	189	14	popular	popular	ADJ
bracis-28370	189	15	feature	feature	NOUN
bracis-28370	189	16	-	-	PUNCT
bracis-28370	189	17	based	base	VERB
bracis-28370	189	18	explanation	explanation	NOUN
bracis-28370	189	19	method	method	NOUN
bracis-28370	189	20	called	call	VERB
bracis-28370	189	21	lime	lime	NOUN
bracis-28370	189	22	(	(	PUNCT
bracis-28370	189	23	local	local	ADJ
bracis-28370	189	24	interpretable	interpretable	ADJ
bracis-28370	189	25	model	model	ADJ
bracis-28370	189	26	-	-	ADJ
bracis-28370	189	27	agnostic	agnostic	ADJ
bracis-28370	189	28	explanations	explanation	NOUN
bracis-28370	189	29	)	)	PUNCT
bracis-28370	190	1	[	[	X
bracis-28370	190	2	21	21	NUM
bracis-28370	190	3	]	]	PUNCT
bracis-28370	190	4	.	.	PUNCT
bracis-28370	191	1	lime	lime	NOUN
bracis-28370	191	2	explains	explain	VERB
bracis-28370	191	3	an	an	DET
bracis-28370	191	4	observation	observation	NOUN
bracis-28370	191	5	locally	locally	ADV
bracis-28370	191	6	by	by	ADP
bracis-28370	191	7	generating	generate	VERB
bracis-28370	191	8	a	a	DET
bracis-28370	191	9	linear	linear	ADJ
bracis-28370	191	10	model	model	NOUN
bracis-28370	191	11	(	(	PUNCT
bracis-28370	191	12	considered	consider	VERB
bracis-28370	191	13	interpretable	interpretable	ADJ
bracis-28370	191	14	by	by	ADP
bracis-28370	191	15	humans	human	NOUN
bracis-28370	191	16	)	)	PUNCT
bracis-28370	191	17	using	use	VERB
bracis-28370	191	18	randomly	randomly	ADV
bracis-28370	191	19	generated	generate	VERB
bracis-28370	191	20	instances	instance	NOUN
bracis-28370	191	21	in	in	ADP
bracis-28370	191	22	the	the	DET
bracis-28370	191	23	neighborhood	neighborhood	NOUN
bracis-28370	191	24	of	of	ADP
bracis-28370	191	25	the	the	DET
bracis-28370	191	26	instance	instance	NOUN
bracis-28370	191	27	of	of	ADP
bracis-28370	191	28	interest	interest	NOUN
bracis-28370	191	29	.	.	PUNCT
bracis-28370	192	1	the	the	DET
bracis-28370	192	2	linear	linear	PROPN
bracis-28370	192	3	model	model	NOUN
bracis-28370	192	4	is	be	AUX
bracis-28370	192	5	then	then	ADV
bracis-28370	192	6	used	use	VERB
bracis-28370	192	7	to	to	PART
bracis-28370	192	8	portray	portray	VERB
bracis-28370	192	9	the	the	DET
bracis-28370	192	10	feature	feature	NOUN
bracis-28370	192	11	’s	’s	PART
bracis-28370	192	12	contribution	contribution	NOUN
bracis-28370	192	13	to	to	ADP
bracis-28370	192	14	the	the	DET
bracis-28370	192	15	output	output	NOUN
bracis-28370	192	16	of	of	ADP
bracis-28370	192	17	the	the	DET
bracis-28370	192	18	specific	specific	ADJ
bracis-28370	192	19	instance	instance	NOUN
bracis-28370	192	20	based	base	VERB
bracis-28370	192	21	on	on	ADP
bracis-28370	192	22	the	the	DET
bracis-28370	192	23	model	model	NOUN
bracis-28370	192	24	’s	’s	PART
bracis-28370	192	25	coefficients	coefficient	NOUN
bracis-28370	192	26	.	.	PUNCT
bracis-28370	193	1	using	use	VERB
bracis-28370	193	2	the	the	DET
bracis-28370	193	3	same	same	ADJ
bracis-28370	193	4	two	two	NUM
bracis-28370	193	5	test	test	NOUN
bracis-28370	193	6	instances	instance	NOUN
bracis-28370	193	7	shown	show	VERB
bracis-28370	193	8	in	in	ADP
bracis-28370	193	9	fig	fig	NOUN
bracis-28370	193	10	.	.	PUNCT
bracis-28370	193	11	 	 	SPACE
bracis-28370	194	1	3	3	NUM
bracis-28370	194	2	,	,	PUNCT
bracis-28370	194	3	we	we	PRON
bracis-28370	194	4	have	have	VERB
bracis-28370	194	5	the	the	DET
bracis-28370	194	6	explanations	explanation	NOUN
bracis-28370	194	7	provided	provide	VERB
bracis-28370	194	8	by	by	ADP
bracis-28370	194	9	lime	lime	NOUN
bracis-28370	194	10	in	in	ADP
bracis-28370	194	11	fig	fig	NOUN
bracis-28370	194	12	.	.	PUNCT
bracis-28370	194	13	 	 	SPACE
bracis-28370	195	1	4	4	NUM
bracis-28370	195	2	.	.	PUNCT
bracis-28370	196	1	as	as	SCONJ
bracis-28370	196	2	we	we	PRON
bracis-28370	196	3	can	can	AUX
bracis-28370	196	4	observe	observe	VERB
bracis-28370	196	5	,	,	PUNCT
bracis-28370	196	6	lime	lime	NOUN
bracis-28370	196	7	would	would	AUX
bracis-28370	196	8	end	end	VERB
bracis-28370	196	9	up	up	ADP
bracis-28370	196	10	showing	show	VERB
bracis-28370	196	11	semantically	semantically	ADV
bracis-28370	196	12	invalid	invalid	ADJ
bracis-28370	196	13	interpretations	interpretation	NOUN
bracis-28370	196	14	to	to	ADP
bracis-28370	196	15	the	the	DET
bracis-28370	196	16	user	user	NOUN
bracis-28370	196	17	,	,	PUNCT
bracis-28370	196	18	such	such	ADJ
bracis-28370	196	19	as	as	ADP
bracis-28370	196	20	portraying	portray	VERB
bracis-28370	196	21	a	a	DET
bracis-28370	196	22	positive	positive	ADJ
bracis-28370	196	23	contribution	contribution	NOUN
bracis-28370	196	24	of	of	ADP
bracis-28370	196	25	the	the	DET
bracis-28370	196	26	“	"	PUNCT
bracis-28370	196	27	weight	weight	NOUN
bracis-28370	196	28	”	"	PUNCT
bracis-28370	196	29	feature	feature	NOUN
bracis-28370	196	30	for	for	ADP
bracis-28370	196	31	cars	car	NOUN
bracis-28370	196	32	weighing	weigh	VERB
bracis-28370	196	33	below	below	ADP
bracis-28370	196	34	2250.0	2250.0	NUM
bracis-28370	196	35	,	,	PUNCT
bracis-28370	196	36	without	without	ADP
bracis-28370	196	37	a	a	DET
bracis-28370	196	38	lower	low	ADJ
bracis-28370	196	39	limit	limit	NOUN
bracis-28370	196	40	.	.	PUNCT
bracis-28370	197	1	thus	thus	ADV
bracis-28370	197	2	,	,	PUNCT
bracis-28370	197	3	one	one	PRON
bracis-28370	197	4	could	could	AUX
bracis-28370	197	5	interpret	interpret	VERB
bracis-28370	197	6	,	,	PUNCT
bracis-28370	197	7	for	for	ADP
bracis-28370	197	8	example	example	NOUN
bracis-28370	197	9	,	,	PUNCT
bracis-28370	197	10	the	the	DET
bracis-28370	197	11	possibility	possibility	NOUN
bracis-28370	197	12	of	of	ADP
bracis-28370	197	13	a	a	DET
bracis-28370	197	14	negative	negative	ADJ
bracis-28370	197	15	weight	weight	NOUN
bracis-28370	197	16	for	for	ADP
bracis-28370	197	17	the	the	DET
bracis-28370	197	18	car	car	NOUN
bracis-28370	197	19	.	.	PUNCT
bracis-28370	198	1	furthermore	furthermore	ADV
bracis-28370	198	2	,	,	PUNCT
bracis-28370	198	3	with	with	ADP
bracis-28370	198	4	our	our	PRON
bracis-28370	198	5	hybrid	hybrid	ADJ
bracis-28370	198	6	multilevel	multilevel	NOUN
bracis-28370	198	7	approach	approach	NOUN
bracis-28370	198	8	,	,	PUNCT
bracis-28370	198	9	we	we	PRON
bracis-28370	198	10	have	have	VERB
bracis-28370	198	11	access	access	NOUN
bracis-28370	198	12	to	to	ADP
bracis-28370	198	13	both	both	DET
bracis-28370	198	14	similar	similar	ADJ
bracis-28370	198	15	instances	instance	NOUN
bracis-28370	198	16	in	in	ADP
bracis-28370	198	17	the	the	DET
bracis-28370	198	18	training	training	NOUN
bracis-28370	198	19	set	set	NOUN
bracis-28370	198	20	and	and	CCONJ
bracis-28370	198	21	the	the	DET
bracis-28370	198	22	characteristics	characteristic	NOUN
bracis-28370	198	23	that	that	PRON
bracis-28370	198	24	make	make	VERB
bracis-28370	198	25	these	these	DET
bracis-28370	198	26	instances	instance	NOUN
bracis-28370	198	27	relevant	relevant	ADJ
bracis-28370	198	28	,	,	PUNCT
bracis-28370	198	29	providing	provide	VERB
bracis-28370	198	30	an	an	DET
bracis-28370	198	31	explanation	explanation	NOUN
bracis-28370	198	32	that	that	PRON
bracis-28370	198	33	brings	bring	VERB
bracis-28370	198	34	new	new	ADJ
bracis-28370	198	35	information	information	NOUN
bracis-28370	198	36	about	about	ADP
bracis-28370	198	37	the	the	DET
bracis-28370	198	38	model	model	NOUN
bracis-28370	198	39	.	.	PUNCT
bracis-28370	199	1	5	5	NUM
bracis-28370	199	2	conclusions	conclusion	NOUN
bracis-28370	199	3	and	and	CCONJ
bracis-28370	199	4	 	 	SPACE
bracis-28370	199	5	future	future	ADJ
bracis-28370	199	6	work	work	NOUN
bracis-28370	199	7	humie	humie	NOUN
bracis-28370	199	8	is	be	AUX
bracis-28370	199	9	a	a	DET
bracis-28370	199	10	method	method	NOUN
bracis-28370	199	11	capable	capable	ADJ
bracis-28370	199	12	of	of	ADP
bracis-28370	199	13	creating	create	VERB
bracis-28370	199	14	multilevel	multilevel	ADJ
bracis-28370	199	15	hybrid	hybrid	ADJ
bracis-28370	199	16	explanations	explanation	NOUN
bracis-28370	199	17	for	for	ADP
bracis-28370	199	18	regression	regression	NOUN
bracis-28370	199	19	problems	problem	NOUN
bracis-28370	199	20	.	.	PUNCT
bracis-28370	200	1	by	by	ADP
bracis-28370	200	2	hybrid	hybrid	NOUN
bracis-28370	200	3	we	we	PRON
bracis-28370	200	4	mean	mean	VERB
bracis-28370	200	5	that	that	SCONJ
bracis-28370	200	6	the	the	DET
bracis-28370	200	7	provided	provide	VERB
bracis-28370	200	8	explanation	explanation	NOUN
bracis-28370	200	9	encompasses	encompass	VERB
bracis-28370	200	10	as	as	ADV
bracis-28370	200	11	many	many	ADJ
bracis-28370	200	12	elements	element	NOUN
bracis-28370	200	13	as	as	ADP
bracis-28370	200	14	explanations	explanation	NOUN
bracis-28370	200	15	based	base	VERB
bracis-28370	200	16	on	on	ADP
bracis-28370	200	17	examples	example	NOUN
bracis-28370	200	18	,	,	PUNCT
bracis-28370	200	19	through	through	ADP
bracis-28370	200	20	the	the	DET
bracis-28370	200	21	selection	selection	NOUN
bracis-28370	200	22	of	of	ADP
bracis-28370	200	23	prototypes	prototype	NOUN
bracis-28370	200	24	from	from	ADP
bracis-28370	200	25	the	the	DET
bracis-28370	200	26	training	training	NOUN
bracis-28370	200	27	set	set	NOUN
bracis-28370	200	28	,	,	PUNCT
bracis-28370	200	29	as	as	ADV
bracis-28370	200	30	well	well	ADV
bracis-28370	200	31	as	as	ADP
bracis-28370	200	32	the	the	DET
bracis-28370	200	33	presentation	presentation	NOUN
bracis-28370	200	34	of	of	ADP
bracis-28370	200	35	explanations	explanation	NOUN
bracis-28370	200	36	based	base	VERB
bracis-28370	200	37	on	on	ADP
bracis-28370	200	38	features	feature	NOUN
bracis-28370	200	39	such	such	ADJ
bracis-28370	200	40	as	as	ADP
bracis-28370	200	41	,	,	PUNCT
bracis-28370	200	42	for	for	ADP
bracis-28370	200	43	example	example	NOUN
bracis-28370	200	44	,	,	PUNCT
bracis-28370	200	45	the	the	DET
bracis-28370	200	46	most	most	ADV
bracis-28370	200	47	relevant	relevant	ADJ
bracis-28370	200	48	features	feature	NOUN
bracis-28370	200	49	and	and	CCONJ
bracis-28370	200	50	the	the	DET
bracis-28370	200	51	expected	expect	VERB
bracis-28370	200	52	values	value	NOUN
bracis-28370	200	53	of	of	ADP
bracis-28370	200	54	features	feature	NOUN
bracis-28370	200	55	for	for	ADP
bracis-28370	200	56	the	the	DET
bracis-28370	200	57	region	region	NOUN
bracis-28370	200	58	of	of	ADP
bracis-28370	200	59	a	a	DET
bracis-28370	200	60	given	give	VERB
bracis-28370	200	61	instance	instance	NOUN
bracis-28370	200	62	.	.	PUNCT
bracis-28370	201	1	by	by	ADP
bracis-28370	201	2	multilevel	multilevel	NOUN
bracis-28370	201	3	,	,	PUNCT
bracis-28370	201	4	we	we	PRON
bracis-28370	201	5	refer	refer	VERB
bracis-28370	201	6	to	to	ADP
bracis-28370	201	7	the	the	DET
bracis-28370	201	8	fact	fact	NOUN
bracis-28370	201	9	that	that	SCONJ
bracis-28370	201	10	humie	humie	PROPN
bracis-28370	201	11	presents	present	VERB
bracis-28370	201	12	the	the	DET
bracis-28370	201	13	model	model	NOUN
bracis-28370	201	14	’s	’s	PART
bracis-28370	201	15	global	global	ADJ
bracis-28370	201	16	explanations	explanation	NOUN
bracis-28370	201	17	in	in	ADP
bracis-28370	201	18	a	a	DET
bracis-28370	201	19	tree	tree	NOUN
bracis-28370	201	20	format	format	NOUN
bracis-28370	201	21	,	,	PUNCT
bracis-28370	201	22	with	with	ADP
bracis-28370	201	23	local	local	ADJ
bracis-28370	201	24	explanations	explanation	NOUN
bracis-28370	201	25	for	for	ADP
bracis-28370	201	26	specific	specific	ADJ
bracis-28370	201	27	test	test	NOUN
bracis-28370	201	28	instances	instance	NOUN
bracis-28370	201	29	being	be	AUX
bracis-28370	201	30	at	at	ADP
bracis-28370	201	31	the	the	DET
bracis-28370	201	32	leaves	leave	NOUN
bracis-28370	201	33	of	of	ADP
bracis-28370	201	34	this	this	DET
bracis-28370	201	35	tree	tree	NOUN
bracis-28370	201	36	,	,	PUNCT
bracis-28370	201	37	global	global	ADJ
bracis-28370	201	38	explanations	explanation	NOUN
bracis-28370	201	39	at	at	ADP
bracis-28370	201	40	the	the	DET
bracis-28370	201	41	root	root	NOUN
bracis-28370	201	42	but	but	CCONJ
bracis-28370	201	43	also	also	ADV
bracis-28370	201	44	intermediate	intermediate	ADJ
bracis-28370	201	45	explanations	explanation	NOUN
bracis-28370	201	46	,	,	PUNCT
bracis-28370	201	47	portraying	portray	VERB
bracis-28370	201	48	semantically	semantically	ADV
bracis-28370	201	49	similar	similar	ADJ
bracis-28370	201	50	subgroups	subgroup	NOUN
bracis-28370	201	51	.	.	PUNCT
bracis-28370	202	1	humie	humie	PROPN
bracis-28370	202	2	uses	use	VERB
bracis-28370	202	3	the	the	DET
bracis-28370	202	4	m	m	NOUN
bracis-28370	202	5	-	-	ADJ
bracis-28370	202	6	peer	peer	NOUN
bracis-28370	202	7	approach	approach	NOUN
bracis-28370	202	8	as	as	ADP
bracis-28370	202	9	a	a	DET
bracis-28370	202	10	auxiliar	auxiliar	ADJ
bracis-28370	202	11	method	method	NOUN
bracis-28370	202	12	for	for	ADP
bracis-28370	202	13	choosing	choose	VERB
bracis-28370	202	14	prototypes	prototype	NOUN
bracis-28370	202	15	and	and	CCONJ
bracis-28370	202	16	the	the	DET
bracis-28370	202	17	dela	dela	PROPN
bracis-28370	202	18	approach	approach	NOUN
bracis-28370	202	19	for	for	ADP
bracis-28370	202	20	features	feature	NOUN
bracis-28370	202	21	analysis	analysis	NOUN
bracis-28370	202	22	.	.	PUNCT
bracis-28370	203	1	experiments	experiment	NOUN
bracis-28370	203	2	with	with	ADP
bracis-28370	203	3	real	real	ADJ
bracis-28370	203	4	-	-	PUNCT
bracis-28370	203	5	world	world	NOUN
bracis-28370	203	6	datasets	dataset	NOUN
bracis-28370	203	7	quantitatively	quantitatively	ADV
bracis-28370	203	8	showed	show	VERB
bracis-28370	203	9	that	that	SCONJ
bracis-28370	203	10	the	the	DET
bracis-28370	203	11	prototypes	prototype	NOUN
bracis-28370	203	12	chosen	choose	VERB
bracis-28370	203	13	by	by	ADP
bracis-28370	203	14	humie	humie	PROPN
bracis-28370	203	15	were	be	AUX
bracis-28370	203	16	better	well	ADJ
bracis-28370	203	17	than	than	ADP
bracis-28370	203	18	all	all	DET
bracis-28370	203	19	competitors	competitor	NOUN
bracis-28370	203	20	(	(	PUNCT
bracis-28370	203	21	m	m	NOUN
bracis-28370	203	22	-	-	NOUN
bracis-28370	203	23	peer	peer	NOUN
bracis-28370	203	24	and	and	CCONJ
bracis-28370	203	25	protodash	protodash	NOUN
bracis-28370	203	26	)	)	PUNCT
bracis-28370	203	27	in	in	ADP
bracis-28370	203	28	relation	relation	NOUN
bracis-28370	203	29	to	to	ADP
bracis-28370	203	30	the	the	DET
bracis-28370	203	31	fidelity	fidelity	PROPN
bracis-28370	203	32	metric	metric	ADJ
bracis-28370	203	33	and	and	CCONJ
bracis-28370	203	34	better	well	ADJ
bracis-28370	203	35	than	than	ADP
bracis-28370	203	36	m	m	NOUN
bracis-28370	203	37	-	-	NOUN
bracis-28370	203	38	peer	peer	NOUN
bracis-28370	203	39	with	with	ADP
bracis-28370	203	40	a	a	DET
bracis-28370	203	41	single	single	ADJ
bracis-28370	203	42	level	level	NOUN
bracis-28370	203	43	in	in	ADP
bracis-28370	203	44	relation	relation	NOUN
bracis-28370	203	45	to	to	ADP
bracis-28370	203	46	the	the	DET
bracis-28370	203	47	stability	stability	NOUN
bracis-28370	203	48	metrics	metric	NOUN
bracis-28370	203	49	and	and	CCONJ
bracis-28370	203	50	gfs	gfs	NOUN
bracis-28370	203	51	.	.	PUNCT
bracis-28370	204	1	qualitatively	qualitatively	ADV
bracis-28370	204	2	,	,	PUNCT
bracis-28370	204	3	we	we	PRON
bracis-28370	204	4	showed	show	VERB
bracis-28370	204	5	that	that	SCONJ
bracis-28370	204	6	humie	humie	NOUN
bracis-28370	204	7	is	be	AUX
bracis-28370	204	8	able	able	ADJ
bracis-28370	204	9	to	to	PART
bracis-28370	204	10	diversify	diversify	VERB
bracis-28370	204	11	the	the	DET
bracis-28370	204	12	choice	choice	NOUN
bracis-28370	204	13	of	of	ADP
bracis-28370	204	14	prototypes	prototype	NOUN
bracis-28370	204	15	according	accord	VERB
bracis-28370	204	16	to	to	ADP
bracis-28370	204	17	the	the	DET
bracis-28370	204	18	characteristics	characteristic	NOUN
bracis-28370	204	19	of	of	ADP
bracis-28370	204	20	the	the	DET
bracis-28370	204	21	presented	present	VERB
bracis-28370	204	22	dataset	dataset	NOUN
bracis-28370	204	23	,	,	PUNCT
bracis-28370	204	24	both	both	CCONJ
bracis-28370	204	25	in	in	ADP
bracis-28370	204	26	terms	term	NOUN
bracis-28370	204	27	of	of	ADP
bracis-28370	204	28	model	model	NOUN
bracis-28370	204	29	output	output	NOUN
bracis-28370	204	30	and	and	CCONJ
bracis-28370	204	31	features	feature	NOUN
bracis-28370	204	32	.	.	PUNCT
bracis-28370	205	1	in	in	ADP
bracis-28370	205	2	addition	addition	NOUN
bracis-28370	205	3	,	,	PUNCT
bracis-28370	205	4	humie	humie	PROPN
bracis-28370	205	5	was	be	AUX
bracis-28370	205	6	able	able	ADJ
bracis-28370	205	7	to	to	PART
bracis-28370	205	8	find	find	VERB
bracis-28370	205	9	subgroups	subgroup	NOUN
bracis-28370	205	10	of	of	ADP
bracis-28370	205	11	instances	instance	NOUN
bracis-28370	205	12	that	that	PRON
bracis-28370	205	13	are	be	AUX
bracis-28370	205	14	similar	similar	ADJ
bracis-28370	205	15	,	,	PUNCT
bracis-28370	205	16	providing	provide	VERB
bracis-28370	205	17	an	an	DET
bracis-28370	205	18	intermediate	intermediate	ADJ
bracis-28370	205	19	interpretation	interpretation	NOUN
bracis-28370	205	20	between	between	ADP
bracis-28370	205	21	the	the	DET
bracis-28370	205	22	local	local	ADJ
bracis-28370	205	23	and	and	CCONJ
bracis-28370	205	24	global	global	ADJ
bracis-28370	205	25	explanations	explanation	NOUN
bracis-28370	205	26	which	which	PRON
bracis-28370	205	27	might	might	AUX
bracis-28370	205	28	be	be	AUX
bracis-28370	205	29	useful	useful	ADJ
bracis-28370	205	30	for	for	SCONJ
bracis-28370	205	31	the	the	DET
bracis-28370	205	32	user	user	NOUN
bracis-28370	205	33	to	to	PART
bracis-28370	205	34	understand	understand	VERB
bracis-28370	205	35	the	the	DET
bracis-28370	205	36	moded	mode	VERB
bracis-28370	205	37	’s	’s	PART
bracis-28370	205	38	rationale	rationale	NOUN
bracis-28370	205	39	.	.	PUNCT
bracis-28370	206	1	in	in	ADP
bracis-28370	206	2	this	this	DET
bracis-28370	206	3	context	context	NOUN
bracis-28370	206	4	,	,	PUNCT
bracis-28370	206	5	humie	humie	PROPN
bracis-28370	206	6	was	be	AUX
bracis-28370	206	7	able	able	ADJ
bracis-28370	206	8	to	to	PART
bracis-28370	206	9	identify	identify	VERB
bracis-28370	206	10	which	which	DET
bracis-28370	206	11	features	feature	NOUN
bracis-28370	206	12	are	be	AUX
bracis-28370	206	13	most	most	ADV
bracis-28370	206	14	important	important	ADJ
bracis-28370	206	15	according	accord	VERB
bracis-28370	206	16	to	to	ADP
bracis-28370	206	17	the	the	DET
bracis-28370	206	18	subgroup	subgroup	NOUN
bracis-28370	206	19	the	the	DET
bracis-28370	206	20	instance	instance	NOUN
bracis-28370	206	21	belongs	belong	VERB
bracis-28370	206	22	to	to	ADP
bracis-28370	206	23	.	.	PUNCT
bracis-28370	207	1	as	as	ADP
bracis-28370	207	2	future	future	ADJ
bracis-28370	207	3	work	work	NOUN
bracis-28370	207	4	,	,	PUNCT
bracis-28370	207	5	we	we	PRON
bracis-28370	207	6	propose	propose	VERB
bracis-28370	207	7	to	to	PART
bracis-28370	207	8	explore	explore	VERB
bracis-28370	207	9	additional	additional	ADJ
bracis-28370	207	10	metrics	metric	NOUN
bracis-28370	207	11	to	to	PART
bracis-28370	207	12	evaluate	evaluate	VERB
bracis-28370	207	13	humie	humie	PROPN
bracis-28370	207	14	’s	’s	PART
bracis-28370	207	15	performance	performance	NOUN
bracis-28370	207	16	and	and	CCONJ
bracis-28370	207	17	the	the	DET
bracis-28370	207	18	robustness	robustness	NOUN
bracis-28370	207	19	of	of	ADP
bracis-28370	207	20	explanations	explanation	NOUN
bracis-28370	207	21	,	,	PUNCT
bracis-28370	207	22	in	in	ADP
bracis-28370	207	23	order	order	NOUN
bracis-28370	207	24	to	to	PART
bracis-28370	207	25	gain	gain	VERB
bracis-28370	207	26	a	a	DET
bracis-28370	207	27	more	more	ADV
bracis-28370	207	28	comprehensive	comprehensive	ADJ
bracis-28370	207	29	view	view	NOUN
bracis-28370	207	30	of	of	ADP
bracis-28370	207	31	the	the	DET
bracis-28370	207	32	method	method	NOUN
bracis-28370	207	33	’s	’s	PART
bracis-28370	207	34	capabilities	capability	NOUN
bracis-28370	207	35	.	.	PUNCT
bracis-28370	208	1	furthermore	furthermore	ADV
bracis-28370	208	2	,	,	PUNCT
bracis-28370	208	3	combining	combine	VERB
bracis-28370	208	4	other	other	ADJ
bracis-28370	208	5	explanation	explanation	NOUN
bracis-28370	208	6	approaches	approach	NOUN
bracis-28370	208	7	,	,	PUNCT
bracis-28370	208	8	such	such	ADJ
bracis-28370	208	9	as	as	ADP
bracis-28370	208	10	counterfactuals	counterfactual	NOUN
bracis-28370	208	11	,	,	PUNCT
bracis-28370	208	12	during	during	ADP
bracis-28370	208	13	the	the	DET
bracis-28370	208	14	construction	construction	NOUN
bracis-28370	208	15	of	of	ADP
bracis-28370	208	16	the	the	DET
bracis-28370	208	17	hybrid	hybrid	ADJ
bracis-28370	208	18	explanation	explanation	NOUN
bracis-28370	208	19	could	could	AUX
bracis-28370	208	20	contribute	contribute	VERB
bracis-28370	208	21	to	to	ADP
bracis-28370	208	22	an	an	DET
bracis-28370	208	23	even	even	ADV
bracis-28370	208	24	more	more	ADV
bracis-28370	208	25	thorough	thorough	ADJ
bracis-28370	208	26	understanding	understanding	NOUN
bracis-28370	208	27	of	of	ADP
bracis-28370	208	28	the	the	DET
bracis-28370	208	29	model	model	NOUN
bracis-28370	208	30	.	.	PUNCT
bracis-28370	209	1	notes	note	VERB
bracis-28370	209	2	1.https://scikit-learn.org/stable/modules/generated/sklearn.ensemble.randomforestregressor.html	1.https://scikit-learn.org/stable/modules/generated/sklearn.ensemble.randomforestregressor.html	PROPN
bracis-28370	209	3	.	.	PUNCT
bracis-28370	210	1	references	reference	NOUN
bracis-28370	210	2	adadi	adadi	PROPN
bracis-28370	210	3	,	,	PUNCT
bracis-28370	210	4	a.	a.	NOUN
bracis-28370	210	5	,	,	PUNCT
bracis-28370	210	6	berrada	berrada	NOUN
bracis-28370	210	7	,	,	PUNCT
bracis-28370	210	8	m.	m.	NOUN
bracis-28370	210	9	:	:	PUNCT
bracis-28370	210	10	peeking	peek	VERB
bracis-28370	210	11	inside	inside	ADP
bracis-28370	210	12	the	the	DET
bracis-28370	210	13	black	black	NOUN
bracis-28370	210	14	-	-	PUNCT
bracis-28370	210	15	box	box	NOUN
bracis-28370	210	16	:	:	PUNCT
bracis-28370	210	17	a	a	DET
bracis-28370	210	18	survey	survey	NOUN
bracis-28370	210	19	on	on	ADP
bracis-28370	210	20	explainable	explainable	ADJ
bracis-28370	210	21	artificial	artificial	ADJ
bracis-28370	210	22	intelligence	intelligence	NOUN
bracis-28370	210	23	(	(	PUNCT
bracis-28370	210	24	xai	xai	PROPN
bracis-28370	210	25	)	)	PUNCT
bracis-28370	210	26	.	.	PUNCT
bracis-28370	211	1	ieee	ieee	NOUN
bracis-28370	211	2	access	access	NOUN
bracis-28370	211	3	6	6	NUM
bracis-28370	211	4	,	,	PUNCT
bracis-28370	211	5	52138–52160	52138–52160	NUM
bracis-28370	211	6	(	(	PUNCT
bracis-28370	211	7	2018	2018	NUM
bracis-28370	211	8	)	)	PUNCT
bracis-28370	211	9	article	article	NOUN
bracis-28370	211	10	  	  	SPACE
bracis-28370	211	11	google	google	PROPN
bracis-28370	211	12	scholar	scholar	NOUN
bracis-28370	211	13	  	  	SPACE
bracis-28370	211	14	bien	bien	PROPN
bracis-28370	211	15	,	,	PUNCT
bracis-28370	211	16	j.	j.	PROPN
bracis-28370	211	17	,	,	PUNCT
bracis-28370	211	18	tibshirani	tibshirani	PROPN
bracis-28370	211	19	,	,	PUNCT
bracis-28370	211	20	r.	r.	PROPN
bracis-28370	211	21	:	:	PUNCT
bracis-28370	211	22	prototype	prototype	NOUN
bracis-28370	211	23	selection	selection	NOUN
bracis-28370	211	24	for	for	ADP
bracis-28370	211	25	interpretable	interpretable	ADJ
bracis-28370	211	26	classification	classification	NOUN
bracis-28370	211	27	.	.	PUNCT
bracis-28370	212	1	ann	ann	PROPN
bracis-28370	212	2	.	.	PUNCT
bracis-28370	212	3	appl	appl	PROPN
bracis-28370	212	4	.	.	PUNCT
bracis-28370	213	1	stat	stat	PROPN
bracis-28370	213	2	.	.	PUNCT
bracis-28370	214	1	5(4	5(4	NUM
bracis-28370	214	2	)	)	PUNCT
bracis-28370	214	3	,	,	PUNCT
bracis-28370	214	4	2403–2424	2403–2424	NUM
bracis-28370	214	5	(	(	PUNCT
bracis-28370	214	6	2011	2011	NUM
bracis-28370	214	7	)	)	PUNCT
bracis-28370	214	8	article	article	NOUN
bracis-28370	214	9	  	  	SPACE
bracis-28370	214	10	mathscinet	mathscinet	NOUN
bracis-28370	214	11	  	  	SPACE
bracis-28370	214	12	math	math	NOUN
bracis-28370	214	13	  	  	SPACE
bracis-28370	214	14	google	google	PROPN
bracis-28370	214	15	scholar	scholar	NOUN
bracis-28370	214	16	  	  	SPACE
bracis-28370	214	17	carvalho	carvalho	NOUN
bracis-28370	214	18	,	,	PUNCT
bracis-28370	214	19	d.v	d.v	PROPN
bracis-28370	214	20	.	.	PROPN
bracis-28370	214	21	,	,	PUNCT
bracis-28370	214	22	pereira	pereira	PROPN
bracis-28370	214	23	,	,	PUNCT
bracis-28370	214	24	e.m	e.m	PROPN
bracis-28370	214	25	.	.	PROPN
bracis-28370	214	26	,	,	PUNCT
bracis-28370	214	27	cardoso	cardoso	PROPN
bracis-28370	214	28	,	,	PUNCT
bracis-28370	214	29	j.s	j.s	PROPN
bracis-28370	214	30	.	.	PUNCT
bracis-28370	214	31	:	:	PUNCT
bracis-28370	215	1	machine	machine	NOUN
bracis-28370	215	2	learning	learn	VERB
bracis-28370	215	3	interpretability	interpretability	NOUN
bracis-28370	215	4	:	:	PUNCT
bracis-28370	215	5	a	a	DET
bracis-28370	215	6	survey	survey	NOUN
bracis-28370	215	7	on	on	ADP
bracis-28370	215	8	methods	method	NOUN
bracis-28370	215	9	and	and	CCONJ
bracis-28370	215	10	metrics	metric	NOUN
bracis-28370	215	11	.	.	PUNCT
bracis-28370	216	1	electronics	electronic	NOUN
bracis-28370	216	2	8(8	8(8	NUM
bracis-28370	216	3	)	)	PUNCT
bracis-28370	216	4	,	,	PUNCT
bracis-28370	216	5	832	832	NUM
bracis-28370	216	6	(	(	PUNCT
bracis-28370	216	7	2019	2019	NUM
bracis-28370	216	8	)	)	PUNCT
bracis-28370	216	9	article	article	NOUN
bracis-28370	216	10	  	  	SPACE
bracis-28370	216	11	google	google	PROPN
bracis-28370	216	12	scholar	scholar	NOUN
bracis-28370	216	13	  	  	SPACE
bracis-28370	216	14	demšar	demšar	NOUN
bracis-28370	216	15	,	,	PUNCT
bracis-28370	216	16	j.	j.	PROPN
bracis-28370	216	17	:	:	PUNCT
bracis-28370	216	18	statistical	statistical	ADJ
bracis-28370	216	19	comparisons	comparison	NOUN
bracis-28370	216	20	of	of	ADP
bracis-28370	216	21	classifiers	classifier	NOUN
bracis-28370	216	22	over	over	ADP
bracis-28370	216	23	multiple	multiple	ADJ
bracis-28370	216	24	data	datum	NOUN
bracis-28370	216	25	sets	set	NOUN
bracis-28370	216	26	.	.	PUNCT
bracis-28370	217	1	j.	j.	PROPN
bracis-28370	217	2	mach	mach	PROPN
bracis-28370	217	3	.	.	PUNCT
bracis-28370	218	1	learn	learn	VERB
bracis-28370	218	2	.	.	PUNCT
bracis-28370	219	1	res	re	NOUN
bracis-28370	219	2	.	.	PROPN
bracis-28370	220	1	7	7	NUM
bracis-28370	220	2	,	,	PUNCT
bracis-28370	220	3	1–30	1–30	PROPN
bracis-28370	220	4	(	(	PUNCT
bracis-28370	220	5	2006	2006	NUM
bracis-28370	220	6	)	)	PUNCT
bracis-28370	220	7	mathscinet	mathscinet	NOUN
bracis-28370	220	8	  	  	SPACE
bracis-28370	220	9	math	math	NOUN
bracis-28370	220	10	  	  	SPACE
bracis-28370	220	11	google	google	PROPN
bracis-28370	220	12	scholar	scholar	NOUN
bracis-28370	220	13	  	  	SPACE
bracis-28370	220	14	filho	filho	NOUN
bracis-28370	220	15	,	,	PUNCT
bracis-28370	220	16	r.m	r.m	PROPN
bracis-28370	220	17	.	.	PROPN
bracis-28370	220	18	:	:	PUNCT
bracis-28370	220	19	explaining	explain	VERB
bracis-28370	220	20	regression	regression	NOUN
bracis-28370	220	21	models	model	NOUN
bracis-28370	220	22	predictions	prediction	NOUN
bracis-28370	220	23	.	.	PUNCT
bracis-28370	221	1	ph.d	ph.d	PROPN
bracis-28370	221	2	.	.	PUNCT
bracis-28370	222	1	thesis	thesis	PROPN
bracis-28370	222	2	,	,	PUNCT
bracis-28370	222	3	universidade	universidade	PROPN
bracis-28370	222	4	federal	federal	PROPN
bracis-28370	222	5	de	de	PROPN
bracis-28370	222	6	minas	minas	PROPN
bracis-28370	222	7	gerais	gerais	PROPN
bracis-28370	222	8	(	(	PUNCT
bracis-28370	222	9	2023	2023	NUM
bracis-28370	222	10	)	)	PUNCT
bracis-28370	222	11	google	google	NOUN
bracis-28370	222	12	scholar	scholar	NOUN
bracis-28370	222	13	  	  	SPACE
bracis-28370	222	14	filho	filho	NOUN
bracis-28370	222	15	,	,	PUNCT
bracis-28370	222	16	r.m	r.m	PROPN
bracis-28370	222	17	.	.	PROPN
bracis-28370	222	18	,	,	PUNCT
bracis-28370	222	19	lacerda	lacerda	PROPN
bracis-28370	222	20	,	,	PUNCT
bracis-28370	222	21	a.	a.	PROPN
bracis-28370	222	22	,	,	PUNCT
bracis-28370	222	23	pappa	pappa	NOUN
bracis-28370	222	24	,	,	PUNCT
bracis-28370	222	25	g.l	g.l	PROPN
bracis-28370	222	26	.	.	PROPN
bracis-28370	222	27	:	:	PUNCT
bracis-28370	222	28	explaining	explain	VERB
bracis-28370	222	29	symbolic	symbolic	ADJ
bracis-28370	222	30	regression	regression	NOUN
bracis-28370	222	31	predictions	prediction	NOUN
bracis-28370	222	32	.	.	PUNCT
bracis-28370	223	1	in	in	ADP
bracis-28370	223	2	:	:	PUNCT
bracis-28370	223	3	2020	2020	NUM
bracis-28370	223	4	ieee	ieee	PROPN
bracis-28370	223	5	congress	congress	PROPN
bracis-28370	223	6	on	on	ADP
bracis-28370	223	7	evolutionary	evolutionary	ADJ
bracis-28370	223	8	computation	computation	NOUN
bracis-28370	223	9	(	(	PUNCT
bracis-28370	223	10	cec	cec	PROPN
bracis-28370	223	11	)	)	PUNCT
bracis-28370	223	12	,	,	PUNCT
bracis-28370	223	13	pp	pp	PROPN
bracis-28370	223	14	.	.	PUNCT
bracis-28370	224	1	1–8	1–8	NUM
bracis-28370	224	2	(	(	PUNCT
bracis-28370	224	3	2020	2020	NUM
bracis-28370	224	4	)	)	PUNCT
bracis-28370	224	5	google	google	NOUN
bracis-28370	224	6	scholar	scholar	NOUN
bracis-28370	224	7	  	  	SPACE
bracis-28370	224	8	filho	filho	NOUN
bracis-28370	224	9	,	,	PUNCT
bracis-28370	224	10	r.m	r.m	PROPN
bracis-28370	224	11	.	.	PROPN
bracis-28370	224	12	,	,	PUNCT
bracis-28370	224	13	lacerda	lacerda	PROPN
bracis-28370	224	14	,	,	PUNCT
bracis-28370	224	15	a.m.	a.m.	ADV
bracis-28370	224	16	,	,	PUNCT
bracis-28370	224	17	pappa	pappa	PROPN
bracis-28370	224	18	,	,	PUNCT
bracis-28370	224	19	g.l	g.l	PROPN
bracis-28370	224	20	.	.	PROPN
bracis-28370	224	21	:	:	PUNCT
bracis-28370	224	22	explainable	explainable	ADJ
bracis-28370	224	23	regression	regression	NOUN
bracis-28370	224	24	via	via	ADP
bracis-28370	224	25	prototypes	prototype	NOUN
bracis-28370	224	26	.	.	PUNCT
bracis-28370	225	1	acm	acm	PROPN
bracis-28370	225	2	trans	trans	PROPN
bracis-28370	225	3	.	.	PUNCT
bracis-28370	226	1	evol	evol	NOUN
bracis-28370	226	2	.	.	PUNCT
bracis-28370	227	1	learn	learn	PROPN
bracis-28370	227	2	.	.	PUNCT
bracis-28370	228	1	optim	optim	ADJ
bracis-28370	228	2	.	.	PUNCT
bracis-28370	229	1	2(4	2(4	NUM
bracis-28370	229	2	)	)	PUNCT
bracis-28370	229	3	(	(	PUNCT
bracis-28370	229	4	2023	2023	NUM
bracis-28370	229	5	)	)	PUNCT
bracis-28370	229	6	google	google	NOUN
bracis-28370	229	7	scholar	scholar	NOUN
bracis-28370	229	8	  	  	SPACE
bracis-28370	229	9	grari	grari	NOUN
bracis-28370	229	10	,	,	PUNCT
bracis-28370	229	11	v.	v.	NOUN
bracis-28370	229	12	,	,	PUNCT
bracis-28370	229	13	lamprier	lamprier	NOUN
bracis-28370	229	14	,	,	PUNCT
bracis-28370	229	15	s.	s.	PROPN
bracis-28370	229	16	,	,	PUNCT
bracis-28370	229	17	detyniecki	detyniecki	PROPN
bracis-28370	229	18	,	,	PUNCT
bracis-28370	229	19	m.	m.	NOUN
bracis-28370	229	20	:	:	PUNCT
bracis-28370	229	21	adversarial	adversarial	ADJ
bracis-28370	229	22	learning	learning	NOUN
bracis-28370	229	23	for	for	ADP
bracis-28370	229	24	counterfactual	counterfactual	ADJ
bracis-28370	229	25	fairness	fairness	NOUN
bracis-28370	229	26	.	.	PUNCT
bracis-28370	230	1	mach	mach	NOUN
bracis-28370	230	2	.	.	PUNCT
bracis-28370	231	1	learn	learn	VERB
bracis-28370	231	2	.	.	PUNCT
bracis-28370	232	1	11	11	NUM
bracis-28370	232	2	,	,	PUNCT
bracis-28370	232	3	1–23	1–23	PROPN
bracis-28370	232	4	(	(	PUNCT
bracis-28370	232	5	2022	2022	NUM
bracis-28370	232	6	)	)	PUNCT
bracis-28370	232	7	math	math	NOUN
bracis-28370	232	8	  	  	SPACE
bracis-28370	232	9	google	google	PROPN
bracis-28370	232	10	scholar	scholar	NOUN
bracis-28370	232	11	  	  	SPACE
bracis-28370	232	12	guidotti	guidotti	PROPN
bracis-28370	232	13	,	,	PUNCT
bracis-28370	232	14	r.	r.	PROPN
bracis-28370	232	15	,	,	PUNCT
bracis-28370	232	16	monreale	monreale	PROPN
bracis-28370	232	17	,	,	PUNCT
bracis-28370	232	18	a.	a.	NOUN
bracis-28370	232	19	,	,	PUNCT
bracis-28370	232	20	ruggieri	ruggieri	PROPN
bracis-28370	232	21	,	,	PUNCT
bracis-28370	232	22	s.	s.	PROPN
bracis-28370	232	23	,	,	PUNCT
bracis-28370	232	24	turini	turini	PROPN
bracis-28370	232	25	,	,	PUNCT
bracis-28370	232	26	f.	f.	PROPN
bracis-28370	232	27	,	,	PUNCT
bracis-28370	232	28	giannotti	giannotti	PROPN
bracis-28370	232	29	,	,	PUNCT
bracis-28370	232	30	f.	f.	PROPN
bracis-28370	232	31	,	,	PUNCT
bracis-28370	232	32	pedreschi	pedreschi	PROPN
bracis-28370	232	33	,	,	PUNCT
bracis-28370	232	34	d.	d.	PROPN
bracis-28370	232	35	:	:	PUNCT
bracis-28370	232	36	a	a	DET
bracis-28370	232	37	survey	survey	NOUN
bracis-28370	232	38	of	of	ADP
bracis-28370	232	39	methods	method	NOUN
bracis-28370	232	40	for	for	ADP
bracis-28370	232	41	explaining	explain	VERB
bracis-28370	232	42	black	black	ADJ
bracis-28370	232	43	box	box	NOUN
bracis-28370	232	44	models	model	NOUN
bracis-28370	232	45	.	.	PUNCT
bracis-28370	233	1	acm	acm	PROPN
bracis-28370	233	2	comput	comput	NOUN
bracis-28370	233	3	.	.	PUNCT
bracis-28370	234	1	surv	surv	NOUN
bracis-28370	234	2	.	.	PUNCT
bracis-28370	235	1	51(5	51(5	NUM
bracis-28370	235	2	)	)	PUNCT
bracis-28370	235	3	,	,	PUNCT
bracis-28370	235	4	9:31	9:31	NUM
bracis-28370	235	5	-	-	SYM
bracis-28370	235	6	93:42	93:42	NUM
bracis-28370	235	7	(	(	PUNCT
bracis-28370	235	8	2018	2018	NUM
bracis-28370	235	9	)	)	PUNCT
bracis-28370	235	10	google	google	PROPN
bracis-28370	235	11	scholar	scholar	NOUN
bracis-28370	235	12	  	  	SPACE
bracis-28370	235	13	gurumoorthy	gurumoorthy	PROPN
bracis-28370	235	14	,	,	PUNCT
bracis-28370	235	15	k.s	k.s	PROPN
bracis-28370	235	16	.	.	PROPN
bracis-28370	235	17	,	,	PUNCT
bracis-28370	235	18	dhurandhar	dhurandhar	PROPN
bracis-28370	235	19	,	,	PUNCT
bracis-28370	235	20	a.	a.	NOUN
bracis-28370	235	21	,	,	PUNCT
bracis-28370	235	22	cecchi	cecchi	NOUN
bracis-28370	235	23	,	,	PUNCT
bracis-28370	235	24	g.a	g.a	PROPN
bracis-28370	235	25	.	.	PROPN
bracis-28370	235	26	,	,	PUNCT
bracis-28370	235	27	aggarwal	aggarwal	PROPN
bracis-28370	235	28	,	,	PUNCT
bracis-28370	235	29	c.c	c.c	PROPN
bracis-28370	235	30	.	.	PROPN
bracis-28370	235	31	:	:	PUNCT
bracis-28370	236	1	efficient	efficient	ADJ
bracis-28370	236	2	data	datum	NOUN
bracis-28370	236	3	representation	representation	NOUN
bracis-28370	236	4	by	by	ADP
bracis-28370	236	5	selecting	select	VERB
bracis-28370	236	6	prototypes	prototype	NOUN
bracis-28370	236	7	with	with	ADP
bracis-28370	236	8	importance	importance	NOUN
bracis-28370	236	9	weights	weight	NOUN
bracis-28370	236	10	.	.	PUNCT
bracis-28370	237	1	in	in	ADP
bracis-28370	237	2	:	:	PUNCT
bracis-28370	237	3	icdm	icdm	NOUN
bracis-28370	237	4	2019	2019	NUM
bracis-28370	237	5	(	(	PUNCT
bracis-28370	237	6	2019	2019	NUM
bracis-28370	237	7	)	)	PUNCT
bracis-28370	237	8	google	google	PROPN
bracis-28370	237	9	scholar	scholar	NOUN
bracis-28370	237	10	  	  	SPACE
bracis-28370	237	11	kim	kim	PROPN
bracis-28370	237	12	,	,	PUNCT
bracis-28370	237	13	b.	b.	PROPN
bracis-28370	237	14	,	,	PUNCT
bracis-28370	237	15	khanna	khanna	PROPN
bracis-28370	237	16	,	,	PUNCT
bracis-28370	237	17	r.	r.	PROPN
bracis-28370	237	18	,	,	PUNCT
bracis-28370	237	19	koyejo	koyejo	PROPN
bracis-28370	237	20	,	,	PUNCT
bracis-28370	237	21	o.o	o.o	PROPN
bracis-28370	237	22	.	.	PROPN
bracis-28370	237	23	:	:	PUNCT
bracis-28370	237	24	examples	example	NOUN
bracis-28370	237	25	are	be	AUX
bracis-28370	237	26	not	not	PART
bracis-28370	237	27	enough	enough	ADV
bracis-28370	237	28	,	,	PUNCT
bracis-28370	237	29	learn	learn	VERB
bracis-28370	237	30	to	to	PART
bracis-28370	237	31	criticize	criticize	VERB
bracis-28370	237	32	!	!	PUNCT
bracis-28370	238	1	criticism	criticism	NOUN
bracis-28370	238	2	for	for	ADP
bracis-28370	238	3	interpretability	interpretability	NOUN
bracis-28370	238	4	.	.	PUNCT
bracis-28370	239	1	in	in	ADP
bracis-28370	239	2	:	:	PUNCT
bracis-28370	239	3	lee	lee	PROPN
bracis-28370	239	4	,	,	PUNCT
bracis-28370	239	5	d.	d.	PROPN
bracis-28370	239	6	,	,	PUNCT
bracis-28370	239	7	sugiyama	sugiyama	NOUN
bracis-28370	239	8	,	,	PUNCT
bracis-28370	239	9	m.	m.	NOUN
bracis-28370	239	10	,	,	PUNCT
bracis-28370	239	11	luxburg	luxburg	PROPN
bracis-28370	239	12	,	,	PUNCT
bracis-28370	239	13	u.	u.	PROPN
bracis-28370	239	14	,	,	PUNCT
bracis-28370	239	15	guyon	guyon	PROPN
bracis-28370	239	16	,	,	PUNCT
bracis-28370	239	17	i.	i.	PROPN
bracis-28370	239	18	,	,	PUNCT
bracis-28370	239	19	garnett	garnett	PROPN
bracis-28370	239	20	,	,	PUNCT
bracis-28370	239	21	r.	r.	PROPN
bracis-28370	239	22	(	(	PUNCT
bracis-28370	239	23	eds	eds	PROPN
bracis-28370	239	24	.	.	PUNCT
bracis-28370	239	25	)	)	PUNCT
bracis-28370	239	26	advances	advance	NOUN
bracis-28370	239	27	in	in	ADP
bracis-28370	239	28	neural	neural	ADJ
bracis-28370	239	29	information	information	NOUN
bracis-28370	239	30	processing	processing	NOUN
bracis-28370	239	31	systems	system	NOUN
bracis-28370	239	32	,	,	PUNCT
bracis-28370	239	33	vol	vol	NOUN
bracis-28370	239	34	.	.	PROPN
bracis-28370	239	35	29	29	NUM
bracis-28370	239	36	.	.	PUNCT
bracis-28370	240	1	curran	curran	PROPN
bracis-28370	240	2	associates	associates	PROPN
bracis-28370	240	3	,	,	PUNCT
bracis-28370	240	4	inc	inc	PROPN
bracis-28370	240	5	.	.	PROPN
bracis-28370	240	6	(	(	PUNCT
bracis-28370	240	7	2016	2016	NUM
bracis-28370	240	8	)	)	PUNCT
bracis-28370	240	9	google	google	PROPN
bracis-28370	240	10	scholar	scholar	NOUN
bracis-28370	240	11	  	  	SPACE
bracis-28370	240	12	letzgus	letzgus	PROPN
bracis-28370	240	13	,	,	PUNCT
bracis-28370	240	14	s.	s.	PROPN
bracis-28370	240	15	,	,	PUNCT
bracis-28370	240	16	wagner	wagner	PROPN
bracis-28370	240	17	,	,	PUNCT
bracis-28370	240	18	p.	p.	PROPN
bracis-28370	240	19	,	,	PUNCT
bracis-28370	240	20	lederer	lederer	PROPN
bracis-28370	240	21	,	,	PUNCT
bracis-28370	240	22	j.	j.	PROPN
bracis-28370	240	23	,	,	PUNCT
bracis-28370	240	24	samek	samek	PROPN
bracis-28370	240	25	,	,	PUNCT
bracis-28370	240	26	w.	w.	PROPN
bracis-28370	240	27	,	,	PUNCT
bracis-28370	240	28	muller	muller	PROPN
bracis-28370	240	29	,	,	PUNCT
bracis-28370	240	30	k.r	k.r	PROPN
bracis-28370	240	31	.	.	PROPN
bracis-28370	240	32	,	,	PUNCT
bracis-28370	240	33	montavon	montavon	PROPN
bracis-28370	240	34	,	,	PUNCT
bracis-28370	240	35	g.	g.	PROPN
bracis-28370	240	36	:	:	PUNCT
bracis-28370	240	37	toward	toward	ADP
bracis-28370	240	38	explainable	explainable	ADJ
bracis-28370	240	39	artificial	artificial	ADJ
bracis-28370	240	40	intelligence	intelligence	NOUN
bracis-28370	240	41	for	for	ADP
bracis-28370	240	42	regression	regression	NOUN
bracis-28370	240	43	models	model	NOUN
bracis-28370	240	44	:	:	PUNCT
bracis-28370	240	45	a	a	DET
bracis-28370	240	46	methodological	methodological	ADJ
bracis-28370	240	47	perspective	perspective	NOUN
bracis-28370	240	48	.	.	PUNCT
bracis-28370	241	1	ieee	ieee	PROPN
bracis-28370	241	2	sig	sig	PROPN
bracis-28370	241	3	.	.	PUNCT
bracis-28370	241	4	process	process	NOUN
bracis-28370	241	5	.	.	PUNCT
bracis-28370	242	1	mag	mag	INTJ
bracis-28370	242	2	.	.	PUNCT
bracis-28370	243	1	39(4	39(4	NUM
bracis-28370	243	2	)	)	PUNCT
bracis-28370	243	3	,	,	PUNCT
bracis-28370	243	4	40–58	40–58	NUM
bracis-28370	243	5	(	(	PUNCT
bracis-28370	243	6	2022	2022	NUM
bracis-28370	243	7	)	)	PUNCT
bracis-28370	243	8	article	article	NOUN
bracis-28370	243	9	  	  	SPACE
bracis-28370	243	10	google	google	PROPN
bracis-28370	243	11	scholar	scholar	NOUN
bracis-28370	243	12	  	  	SPACE
bracis-28370	243	13	loyola	loyola	PROPN
bracis-28370	243	14	-	-	PUNCT
bracis-28370	243	15	gonzález	gonzález	PROPN
bracis-28370	243	16	,	,	PUNCT
bracis-28370	243	17	o.	o.	NOUN
bracis-28370	243	18	:	:	PUNCT
bracis-28370	243	19	black	black	ADJ
bracis-28370	243	20	-	-	PUNCT
bracis-28370	243	21	box	box	NOUN
bracis-28370	243	22	vs.	vs.	X
bracis-28370	243	23	white	white	PROPN
bracis-28370	243	24	-	-	PUNCT
bracis-28370	243	25	box	box	NOUN
bracis-28370	243	26	:	:	PUNCT
bracis-28370	243	27	understanding	understand	VERB
bracis-28370	243	28	their	their	PRON
bracis-28370	243	29	advantages	advantage	NOUN
bracis-28370	243	30	and	and	CCONJ
bracis-28370	243	31	weaknesses	weakness	NOUN
bracis-28370	243	32	from	from	ADP
bracis-28370	243	33	a	a	DET
bracis-28370	243	34	practical	practical	ADJ
bracis-28370	243	35	point	point	NOUN
bracis-28370	243	36	of	of	ADP
bracis-28370	243	37	view	view	NOUN
bracis-28370	243	38	.	.	PUNCT
bracis-28370	244	1	ieee	ieee	NOUN
bracis-28370	244	2	access	access	NOUN
bracis-28370	244	3	7	7	NUM
bracis-28370	244	4	,	,	PUNCT
bracis-28370	244	5	154096–154113	154096–154113	NUM
bracis-28370	244	6	(	(	PUNCT
bracis-28370	244	7	2019	2019	NUM
bracis-28370	244	8	)	)	PUNCT
bracis-28370	244	9	article	article	NOUN
bracis-28370	244	10	  	  	SPACE
bracis-28370	244	11	google	google	PROPN
bracis-28370	244	12	scholar	scholar	NOUN
bracis-28370	244	13	  	  	SPACE
bracis-28370	244	14	melis	melis	PROPN
bracis-28370	244	15	,	,	PUNCT
bracis-28370	244	16	d.a	d.a	PROPN
bracis-28370	244	17	.	.	PROPN
bracis-28370	244	18	,	,	PUNCT
bracis-28370	244	19	jaakkola	jaakkola	PROPN
bracis-28370	244	20	,	,	PUNCT
bracis-28370	244	21	t.	t.	PROPN
bracis-28370	244	22	:	:	PUNCT
bracis-28370	244	23	towards	towards	ADP
bracis-28370	244	24	robust	robust	ADJ
bracis-28370	244	25	interpretability	interpretability	NOUN
bracis-28370	244	26	with	with	ADP
bracis-28370	244	27	self	self	NOUN
bracis-28370	244	28	-	-	PUNCT
bracis-28370	244	29	explaining	explain	VERB
bracis-28370	244	30	neural	neural	ADJ
bracis-28370	244	31	networks	network	NOUN
bracis-28370	244	32	.	.	PUNCT
bracis-28370	245	1	in	in	ADP
bracis-28370	245	2	:	:	PUNCT
bracis-28370	245	3	neurips	neurip	NOUN
bracis-28370	245	4	2018	2018	NUM
bracis-28370	245	5	,	,	PUNCT
bracis-28370	245	6	pp	pp	ADJ
bracis-28370	245	7	.	.	PUNCT
bracis-28370	246	1	7775–7784	7775–7784	NUM
bracis-28370	246	2	(	(	PUNCT
bracis-28370	246	3	2018	2018	NUM
bracis-28370	246	4	)	)	PUNCT
bracis-28370	246	5	google	google	PROPN
bracis-28370	246	6	scholar	scholar	NOUN
bracis-28370	246	7	  	  	SPACE
bracis-28370	246	8	ming	ming	NOUN
bracis-28370	246	9	,	,	PUNCT
bracis-28370	246	10	y.	y.	PROPN
bracis-28370	246	11	,	,	PUNCT
bracis-28370	246	12	xu	xu	PROPN
bracis-28370	246	13	,	,	PUNCT
bracis-28370	246	14	p.	p.	PROPN
bracis-28370	246	15	,	,	PUNCT
bracis-28370	246	16	qu	qu	PROPN
bracis-28370	246	17	,	,	PUNCT
bracis-28370	246	18	h.	h.	PROPN
bracis-28370	246	19	,	,	PUNCT
bracis-28370	246	20	ren	ren	PROPN
bracis-28370	246	21	,	,	PUNCT
bracis-28370	246	22	l.	l.	PROPN
bracis-28370	246	23	:	:	PUNCT
bracis-28370	246	24	interpretable	interpretable	ADJ
bracis-28370	246	25	and	and	CCONJ
bracis-28370	246	26	steerable	steerable	ADJ
bracis-28370	246	27	sequence	sequence	NOUN
bracis-28370	246	28	learning	learn	VERB
bracis-28370	246	29	via	via	ADP
bracis-28370	246	30	prototypes	prototype	NOUN
bracis-28370	246	31	.	.	PUNCT
bracis-28370	247	1	in	in	ADP
bracis-28370	247	2	:	:	PUNCT
bracis-28370	247	3	kdd	kdd	PROPN
bracis-28370	247	4	2019	2019	NUM
bracis-28370	247	5	,	,	PUNCT
bracis-28370	247	6	pp	pp	ADJ
bracis-28370	247	7	.	.	PUNCT
bracis-28370	248	1	903–913	903–913	NUM
bracis-28370	248	2	(	(	PUNCT
bracis-28370	248	3	2019	2019	NUM
bracis-28370	248	4	)	)	PUNCT
bracis-28370	248	5	google	google	PROPN
bracis-28370	248	6	scholar	scholar	NOUN
bracis-28370	248	7	  	  	SPACE
bracis-28370	248	8	molnar	molnar	PROPN
bracis-28370	248	9	,	,	PUNCT
bracis-28370	248	10	c.	c.	PROPN
bracis-28370	248	11	:	:	PUNCT
bracis-28370	248	12	interpretable	interpretable	ADJ
bracis-28370	248	13	machine	machine	NOUN
bracis-28370	248	14	learning	learning	NOUN
bracis-28370	248	15	,	,	PUNCT
bracis-28370	248	16	2nd	2nd	ADJ
bracis-28370	248	17	edn	edn	NOUN
bracis-28370	248	18	.	.	PUNCT
bracis-28370	249	1	lulu.com	lulu.com	X
bracis-28370	249	2	(	(	PUNCT
bracis-28370	249	3	2022	2022	NUM
bracis-28370	249	4	)	)	PUNCT
bracis-28370	249	5	.	.	PUNCT
bracis-28370	250	1	https://christophm.github.io/interpretable-ml-book	https://christophm.github.io/interpretable-ml-book	NUM
bracis-28370	250	2	mothilal	mothilal	NOUN
bracis-28370	250	3	,	,	PUNCT
bracis-28370	250	4	r.k	r.k	PROPN
bracis-28370	250	5	.	.	PROPN
bracis-28370	250	6	,	,	PUNCT
bracis-28370	250	7	sharma	sharma	PROPN
bracis-28370	250	8	,	,	PUNCT
bracis-28370	250	9	a.	a.	PROPN
bracis-28370	250	10	,	,	PUNCT
bracis-28370	250	11	tan	tan	PROPN
bracis-28370	250	12	,	,	PUNCT
bracis-28370	250	13	c.	c.	NOUN
bracis-28370	250	14	:	:	PUNCT
bracis-28370	250	15	explaining	explain	VERB
bracis-28370	250	16	machine	machine	NOUN
bracis-28370	250	17	learning	learn	VERB
bracis-28370	250	18	classifiers	classifier	NOUN
bracis-28370	250	19	through	through	ADP
bracis-28370	250	20	diverse	diverse	ADJ
bracis-28370	250	21	counterfactual	counterfactual	ADJ
bracis-28370	250	22	explanations	explanation	NOUN
bracis-28370	250	23	.	.	PUNCT
bracis-28370	251	1	in	in	ADP
bracis-28370	251	2	:	:	PUNCT
bracis-28370	251	3	proceedings	proceeding	NOUN
bracis-28370	251	4	of	of	ADP
bracis-28370	251	5	the	the	DET
bracis-28370	251	6	2020	2020	NUM
bracis-28370	251	7	conference	conference	NOUN
bracis-28370	251	8	on	on	ADP
bracis-28370	251	9	fairness	fairness	NOUN
bracis-28370	251	10	,	,	PUNCT
bracis-28370	251	11	accountability	accountability	NOUN
bracis-28370	251	12	,	,	PUNCT
bracis-28370	251	13	and	and	CCONJ
bracis-28370	251	14	transparency	transparency	NOUN
bracis-28370	251	15	,	,	PUNCT
bracis-28370	251	16	fat	fat	PROPN
bracis-28370	251	17	*	*	SYM
bracis-28370	251	18	2020	2020	NUM
bracis-28370	251	19	,	,	PUNCT
bracis-28370	251	20	pp	pp	ADV
bracis-28370	251	21	.	.	PUNCT
bracis-28370	252	1	607–617	607–617	NUM
bracis-28370	252	2	.	.	PUNCT
bracis-28370	252	3	association	association	NOUN
bracis-28370	252	4	for	for	ADP
bracis-28370	252	5	computing	compute	VERB
bracis-28370	252	6	machinery	machinery	NOUN
bracis-28370	252	7	,	,	PUNCT
bracis-28370	252	8	new	new	PROPN
bracis-28370	252	9	york	york	PROPN
bracis-28370	252	10	,	,	PUNCT
bracis-28370	252	11	ny	ny	PROPN
bracis-28370	252	12	,	,	PUNCT
bracis-28370	252	13	usa	usa	PROPN
bracis-28370	252	14	(	(	PUNCT
bracis-28370	252	15	2020	2020	NUM
bracis-28370	252	16	)	)	PUNCT
bracis-28370	252	17	google	google	PROPN
bracis-28370	252	18	scholar	scholar	NOUN
bracis-28370	252	19	  	  	SPACE
bracis-28370	252	20	plumb	plumb	PROPN
bracis-28370	252	21	,	,	PUNCT
bracis-28370	252	22	g.	g.	PROPN
bracis-28370	252	23	,	,	PUNCT
bracis-28370	252	24	al	al	PROPN
bracis-28370	252	25	-	-	PUNCT
bracis-28370	252	26	shedivat	shedivat	PROPN
bracis-28370	252	27	,	,	PUNCT
bracis-28370	252	28	m.	m.	NOUN
bracis-28370	252	29	,	,	PUNCT
bracis-28370	252	30	xing	xing	PROPN
bracis-28370	252	31	,	,	PUNCT
bracis-28370	252	32	e.p	e.p	PROPN
bracis-28370	252	33	.	.	PROPN
bracis-28370	252	34	,	,	PUNCT
bracis-28370	252	35	talwalkar	talwalkar	PROPN
bracis-28370	252	36	,	,	PUNCT
bracis-28370	252	37	a.	a.	NOUN
bracis-28370	252	38	:	:	PUNCT
bracis-28370	252	39	regularizing	regularize	VERB
bracis-28370	252	40	black	black	ADJ
bracis-28370	252	41	-	-	PUNCT
bracis-28370	252	42	box	box	NOUN
bracis-28370	252	43	models	model	NOUN
bracis-28370	252	44	for	for	ADP
bracis-28370	252	45	improved	improved	ADJ
bracis-28370	252	46	interpretability	interpretability	NOUN
bracis-28370	252	47	.	.	PUNCT
bracis-28370	253	1	corr	corr	NOUN
bracis-28370	253	2	(	(	PUNCT
bracis-28370	253	3	2019	2019	NUM
bracis-28370	253	4	)	)	PUNCT
bracis-28370	253	5	google	google	NOUN
bracis-28370	253	6	scholar	scholar	NOUN
bracis-28370	253	7	  	  	SPACE
bracis-28370	253	8	ramamurthy	ramamurthy	ADJ
bracis-28370	253	9	,	,	PUNCT
bracis-28370	253	10	k.n	k.n	PROPN
bracis-28370	253	11	.	.	PROPN
bracis-28370	253	12	,	,	PUNCT
bracis-28370	253	13	vinzamuri	vinzamuri	PROPN
bracis-28370	253	14	,	,	PUNCT
bracis-28370	253	15	b.	b.	PROPN
bracis-28370	253	16	,	,	PUNCT
bracis-28370	253	17	zhang	zhang	PROPN
bracis-28370	253	18	,	,	PUNCT
bracis-28370	253	19	y.	y.	PROPN
bracis-28370	253	20	,	,	PUNCT
bracis-28370	253	21	dhurandhar	dhurandhar	PROPN
bracis-28370	253	22	,	,	PUNCT
bracis-28370	253	23	a.	a.	NOUN
bracis-28370	253	24	:	:	PUNCT
bracis-28370	253	25	model	model	PROPN
bracis-28370	253	26	agnostic	agnostic	ADJ
bracis-28370	253	27	multilevel	multilevel	ADJ
bracis-28370	253	28	explanations	explanation	NOUN
bracis-28370	253	29	.	.	PUNCT
bracis-28370	254	1	in	in	ADP
bracis-28370	254	2	:	:	PUNCT
bracis-28370	254	3	larochelle	larochelle	PROPN
bracis-28370	254	4	,	,	PUNCT
bracis-28370	254	5	h.	h.	PROPN
bracis-28370	254	6	,	,	PUNCT
bracis-28370	254	7	ranzato	ranzato	NOUN
bracis-28370	254	8	,	,	PUNCT
bracis-28370	254	9	m.	m.	NOUN
bracis-28370	254	10	,	,	PUNCT
bracis-28370	254	11	hadsell	hadsell	PROPN
bracis-28370	254	12	,	,	PUNCT
bracis-28370	254	13	r.	r.	PROPN
bracis-28370	254	14	,	,	PUNCT
bracis-28370	254	15	balcan	balcan	PROPN
bracis-28370	254	16	,	,	PUNCT
bracis-28370	254	17	m.	m.	NOUN
bracis-28370	254	18	,	,	PUNCT
bracis-28370	254	19	lin	lin	PROPN
bracis-28370	254	20	,	,	PUNCT
bracis-28370	254	21	h.	h.	PROPN
bracis-28370	254	22	(	(	PUNCT
bracis-28370	254	23	eds	eds	PROPN
bracis-28370	254	24	.	.	PUNCT
bracis-28370	254	25	)	)	PUNCT
bracis-28370	254	26	annual	annual	ADJ
bracis-28370	254	27	conference	conference	NOUN
bracis-28370	254	28	on	on	ADP
bracis-28370	254	29	neural	neural	ADJ
bracis-28370	254	30	information	information	NOUN
bracis-28370	254	31	processing	processing	NOUN
bracis-28370	254	32	systems	system	NOUN
bracis-28370	254	33	2020	2020	NUM
bracis-28370	254	34	,	,	PUNCT
bracis-28370	254	35	neurips	neurip	NOUN
bracis-28370	254	36	2020	2020	NUM
bracis-28370	254	37	.	.	PUNCT
bracis-28370	255	1	advances	advance	NOUN
bracis-28370	255	2	in	in	ADP
bracis-28370	255	3	neural	neural	ADJ
bracis-28370	255	4	information	information	NOUN
bracis-28370	255	5	processing	processing	NOUN
bracis-28370	255	6	systems	system	NOUN
bracis-28370	255	7	33	33	NUM
bracis-28370	255	8	,	,	PUNCT
bracis-28370	255	9	6–12	6–12	ADJ
bracis-28370	255	10	december	december	PROPN
bracis-28370	255	11	2020	2020	NUM
bracis-28370	255	12	,	,	PUNCT
bracis-28370	255	13	virtual	virtual	ADJ
bracis-28370	255	14	(	(	PUNCT
bracis-28370	255	15	2020	2020	NUM
bracis-28370	255	16	)	)	PUNCT
bracis-28370	255	17	google	google	PROPN
bracis-28370	255	18	scholar	scholar	NOUN
bracis-28370	255	19	  	  	SPACE
bracis-28370	255	20	ribeiro	ribeiro	PROPN
bracis-28370	255	21	,	,	PUNCT
bracis-28370	255	22	m.t	m.t	PROPN
bracis-28370	255	23	.	.	PROPN
bracis-28370	255	24	,	,	PUNCT
bracis-28370	255	25	singh	singh	PROPN
bracis-28370	255	26	,	,	PUNCT
bracis-28370	255	27	s.	s.	PROPN
bracis-28370	255	28	,	,	PUNCT
bracis-28370	255	29	guestrin	guestrin	NOUN
bracis-28370	255	30	,	,	PUNCT
bracis-28370	255	31	c.	c.	PROPN
bracis-28370	255	32	:	:	PUNCT
bracis-28370	255	33	“	"	PUNCT
bracis-28370	255	34	why	why	SCONJ
bracis-28370	255	35	should	should	AUX
bracis-28370	255	36	i	i	PRON
bracis-28370	255	37	trust	trust	VERB
bracis-28370	255	38	you	you	PRON
bracis-28370	255	39	?	?	PUNCT
bracis-28370	255	40	”	"	PUNCT
bracis-28370	255	41	:	:	PUNCT
bracis-28370	255	42	explaining	explain	VERB
bracis-28370	255	43	the	the	DET
bracis-28370	255	44	predictions	prediction	NOUN
bracis-28370	255	45	of	of	ADP
bracis-28370	255	46	any	any	DET
bracis-28370	255	47	classifier	classifier	NOUN
bracis-28370	255	48	.	.	PUNCT
bracis-28370	256	1	in	in	ADP
bracis-28370	256	2	:	:	PUNCT
bracis-28370	256	3	proceedings	proceeding	NOUN
bracis-28370	256	4	of	of	ADP
bracis-28370	256	5	the	the	DET
bracis-28370	256	6	22nd	22nd	PROPN
bracis-28370	256	7	acm	acm	PROPN
bracis-28370	256	8	sigkdd	sigkdd	PROPN
bracis-28370	256	9	international	international	ADJ
bracis-28370	256	10	conference	conference	NOUN
bracis-28370	256	11	on	on	ADP
bracis-28370	256	12	knowledge	knowledge	NOUN
bracis-28370	256	13	discovery	discovery	PROPN
bracis-28370	256	14	and	and	CCONJ
bracis-28370	256	15	data	datum	NOUN
bracis-28370	256	16	mining	mining	NOUN
bracis-28370	256	17	,	,	PUNCT
bracis-28370	256	18	kdd	kdd	PROPN
bracis-28370	256	19	2016	2016	NUM
bracis-28370	256	20	,	,	PUNCT
bracis-28370	256	21	pp	pp	ADJ
bracis-28370	256	22	.	.	PUNCT
bracis-28370	257	1	1135–1144	1135–1144	NUM
bracis-28370	257	2	.	.	PUNCT
bracis-28370	258	1	acm	acm	PROPN
bracis-28370	258	2	,	,	PUNCT
bracis-28370	258	3	new	new	PROPN
bracis-28370	258	4	york	york	PROPN
bracis-28370	258	5	,	,	PUNCT
bracis-28370	258	6	ny	ny	PROPN
bracis-28370	258	7	,	,	PUNCT
bracis-28370	258	8	usa	usa	PROPN
bracis-28370	258	9	(	(	PUNCT
bracis-28370	258	10	2016	2016	NUM
bracis-28370	258	11	)	)	PUNCT
bracis-28370	258	12	google	google	PROPN
bracis-28370	258	13	scholar	scholar	NOUN
bracis-28370	258	14	  	  	SPACE
bracis-28370	258	15	ribeiro	ribeiro	PROPN
bracis-28370	258	16	,	,	PUNCT
bracis-28370	258	17	m.t	m.t	PROPN
bracis-28370	258	18	.	.	PROPN
bracis-28370	258	19	,	,	PUNCT
bracis-28370	258	20	singh	singh	PROPN
bracis-28370	258	21	,	,	PUNCT
bracis-28370	258	22	s.	s.	PROPN
bracis-28370	258	23	,	,	PUNCT
bracis-28370	258	24	guestrin	guestrin	NOUN
bracis-28370	258	25	,	,	PUNCT
bracis-28370	258	26	c.	c.	PROPN
bracis-28370	258	27	:	:	PUNCT
bracis-28370	258	28	“	"	PUNCT
bracis-28370	258	29	why	why	SCONJ
bracis-28370	258	30	should	should	AUX
bracis-28370	258	31	i	i	PRON
bracis-28370	258	32	trust	trust	VERB
bracis-28370	258	33	you	you	PRON
bracis-28370	258	34	?	?	PUNCT
bracis-28370	258	35	”	"	PUNCT
bracis-28370	258	36	explaining	explain	VERB
bracis-28370	258	37	the	the	DET
bracis-28370	258	38	predictions	prediction	NOUN
bracis-28370	258	39	of	of	ADP
bracis-28370	258	40	any	any	DET
bracis-28370	258	41	classifier	classifier	NOUN
bracis-28370	258	42	.	.	PUNCT
bracis-28370	259	1	in	in	ADP
bracis-28370	259	2	:	:	PUNCT
bracis-28370	259	3	kdd	kdd	PROPN
bracis-28370	259	4	2016	2016	NUM
bracis-28370	259	5	,	,	PUNCT
bracis-28370	259	6	pp	pp	ADP
bracis-28370	259	7	.	.	PUNCT
bracis-28370	260	1	1135–1144	1135–1144	NUM
bracis-28370	260	2	(	(	PUNCT
bracis-28370	260	3	2016	2016	NUM
bracis-28370	260	4	)	)	PUNCT
bracis-28370	260	5	google	google	PROPN
bracis-28370	260	6	scholar	scholar	NOUN
bracis-28370	260	7	  	  	SPACE
bracis-28370	260	8	schwab	schwab	NOUN
bracis-28370	260	9	,	,	PUNCT
bracis-28370	260	10	p.	p.	PROPN
bracis-28370	260	11	,	,	PUNCT
bracis-28370	260	12	karlen	karlen	PROPN
bracis-28370	260	13	,	,	PUNCT
bracis-28370	260	14	w.	w.	PROPN
bracis-28370	260	15	:	:	PUNCT
bracis-28370	260	16	cxplain	cxplain	NOUN
bracis-28370	260	17	:	:	PUNCT
bracis-28370	260	18	causal	causal	ADJ
bracis-28370	260	19	explanations	explanation	NOUN
bracis-28370	260	20	for	for	ADP
bracis-28370	260	21	model	model	NOUN
bracis-28370	260	22	interpretation	interpretation	NOUN
bracis-28370	260	23	under	under	ADP
bracis-28370	260	24	uncertainty	uncertainty	NOUN
bracis-28370	260	25	.	.	PUNCT
bracis-28370	261	1	in	in	ADP
bracis-28370	261	2	:	:	PUNCT
bracis-28370	261	3	neurips	neurip	NOUN
bracis-28370	261	4	2019	2019	NUM
bracis-28370	261	5	,	,	PUNCT
bracis-28370	261	6	pp	pp	ADJ
bracis-28370	261	7	.	.	PUNCT
bracis-28370	262	1	10220–10230	10220–10230	NUM
bracis-28370	262	2	(	(	PUNCT
bracis-28370	262	3	2019	2019	NUM
bracis-28370	262	4	)	)	PUNCT
bracis-28370	262	5	google	google	PROPN
bracis-28370	262	6	scholar	scholar	NOUN
bracis-28370	262	7	  	  	SPACE
bracis-28370	262	8	zhao	zhao	PROPN
bracis-28370	262	9	,	,	PUNCT
bracis-28370	262	10	q.	q.	PROPN
bracis-28370	262	11	,	,	PUNCT
bracis-28370	262	12	hastie	hastie	PROPN
bracis-28370	262	13	,	,	PUNCT
bracis-28370	262	14	t.	t.	PROPN
bracis-28370	262	15	:	:	PUNCT
bracis-28370	262	16	causal	causal	ADJ
bracis-28370	262	17	interpretations	interpretation	NOUN
bracis-28370	262	18	of	of	ADP
bracis-28370	262	19	black	black	ADJ
bracis-28370	262	20	-	-	PUNCT
bracis-28370	262	21	box	box	NOUN
bracis-28370	262	22	models	model	NOUN
bracis-28370	262	23	.	.	PUNCT
bracis-28370	263	1	j.	j.	PROPN
bracis-28370	263	2	bus	bus	PROPN
bracis-28370	263	3	.	.	PUNCT
bracis-28370	263	4	econ	econ	PROPN
bracis-28370	263	5	.	.	PUNCT
bracis-28370	263	6	stat	stat	PROPN
bracis-28370	263	7	.	.	PUNCT
bracis-28370	264	1	39(1	39(1	NUM
bracis-28370	264	2	)	)	PUNCT
bracis-28370	264	3	,	,	PUNCT
bracis-28370	265	1	272–281	272–281	NUM
bracis-28370	265	2	(	(	PUNCT
bracis-28370	265	3	2021	2021	NUM
bracis-28370	265	4	)	)	PUNCT
bracis-28370	265	5	article	article	NOUN
bracis-28370	265	6	  	  	SPACE
bracis-28370	265	7	mathscinet	mathscinet	NOUN
bracis-28370	265	8	  	  	SPACE
bracis-28370	265	9	google	google	PROPN
bracis-28370	265	10	scholar	scholar	NOUN
bracis-28370	265	11	  	  	SPACE
bracis-28370	265	12	download	download	NOUN
bracis-28370	265	13	references	reference	NOUN
bracis-28370	265	14	author	author	NOUN
bracis-28370	265	15	information	information	NOUN
bracis-28370	265	16	authors	author	NOUN
bracis-28370	265	17	and	and	CCONJ
bracis-28370	265	18	affiliations	affiliation	NOUN
bracis-28370	265	19	universidade	universidade	PROPN
bracis-28370	265	20	federal	federal	PROPN
bracis-28370	265	21	de	de	PROPN
bracis-28370	265	22	minas	minas	PROPN
bracis-28370	265	23	gerais	gerais	PROPN
bracis-28370	265	24	,	,	PUNCT
bracis-28370	265	25	belo	belo	PROPN
bracis-28370	265	26	horizonte	horizonte	PROPN
bracis-28370	265	27	,	,	PUNCT
bracis-28370	265	28	minas	minas	PROPN
bracis-28370	265	29	gerais	gerais	PROPN
bracis-28370	265	30	,	,	PUNCT
bracis-28370	265	31	brazil	brazil	PROPN
bracis-28370	265	32	renato	renato	PROPN
bracis-28370	265	33	miranda	miranda	PROPN
bracis-28370	265	34	filho	filho	PROPN
bracis-28370	265	35	 	 	SPACE
bracis-28370	265	36	&	&	CCONJ
bracis-28370	265	37	 	 	SPACE
bracis-28370	265	38	gisele	gisele	PROPN
bracis-28370	265	39	l.	l.	PROPN
bracis-28370	265	40	pappa	pappa	PROPN
bracis-28370	265	41	instituto	instituto	PROPN
bracis-28370	265	42	federal	federal	PROPN
bracis-28370	265	43	de	de	PROPN
bracis-28370	265	44	minas	minas	PROPN
bracis-28370	265	45	gerais	gerais	PROPN
bracis-28370	265	46	,	,	PUNCT
bracis-28370	265	47	sabará	sabará	NOUN
bracis-28370	265	48	,	,	PUNCT
bracis-28370	265	49	minas	minas	PROPN
bracis-28370	265	50	gerais	gerais	PROPN
bracis-28370	265	51	,	,	PUNCT
bracis-28370	265	52	brazil	brazil	PROPN
bracis-28370	265	53	renato	renato	PROPN
bracis-28370	265	54	miranda	miranda	PROPN
bracis-28370	265	55	filho	filho	PROPN
bracis-28370	265	56	authors	author	NOUN
bracis-28370	265	57	renato	renato	PROPN
bracis-28370	265	58	miranda	miranda	PROPN
bracis-28370	265	59	filhoview	filhoview	PROPN
bracis-28370	265	60	author	author	NOUN
bracis-28370	265	61	publications	publication	NOUN
bracis-28370	265	62	search	search	NOUN
bracis-28370	265	63	author	author	NOUN
bracis-28370	265	64	on	on	ADP
bracis-28370	265	65	:	:	PUNCT
bracis-28370	265	66	pubmed	pubmed	PROPN
bracis-28370	265	67	 	 	SPACE
bracis-28370	265	68	google	google	PROPN
bracis-28370	265	69	scholar	scholar	NOUN
bracis-28370	265	70	gisele	gisele	PROPN
bracis-28370	265	71	l.	l.	PROPN
bracis-28370	265	72	pappaview	pappaview	PROPN
bracis-28370	265	73	author	author	NOUN
bracis-28370	265	74	publications	publication	VERB
bracis-28370	265	75	search	search	NOUN
bracis-28370	265	76	author	author	NOUN
bracis-28370	265	77	on	on	ADP
bracis-28370	265	78	:	:	PUNCT
bracis-28370	265	79	pubmed	pubmed	PROPN
bracis-28370	265	80	 	 	SPACE
bracis-28370	265	81	google	google	PROPN
bracis-28370	265	82	scholar	scholar	NOUN
bracis-28370	265	83	corresponding	correspond	VERB
bracis-28370	265	84	author	author	NOUN
bracis-28370	265	85	correspondence	correspondence	NOUN
bracis-28370	265	86	to	to	ADP
bracis-28370	265	87	renato	renato	PROPN
bracis-28370	265	88	miranda	miranda	PROPN
bracis-28370	265	89	filho	filho	PROPN
bracis-28370	265	90	.	.	PUNCT
bracis-28370	266	1	editor	editor	NOUN
bracis-28370	266	2	information	information	NOUN
bracis-28370	266	3	editors	editor	NOUN
bracis-28370	266	4	and	and	CCONJ
bracis-28370	266	5	affiliations	affiliation	NOUN
bracis-28370	266	6	federal	federal	PROPN
bracis-28370	266	7	university	university	PROPN
bracis-28370	266	8	of	of	ADP
bracis-28370	266	9	são	são	PROPN
bracis-28370	266	10	carlos	carlos	PROPN
bracis-28370	266	11	,	,	PUNCT
bracis-28370	266	12	são	são	PROPN
bracis-28370	266	13	carlos	carlos	PROPN
bracis-28370	266	14	,	,	PUNCT
bracis-28370	266	15	brazil	brazil	PROPN
bracis-28370	266	16	murilo	murilo	PROPN
bracis-28370	266	17	c.	c.	PROPN
bracis-28370	266	18	naldi	naldi	PROPN
bracis-28370	266	19	centro	centro	PROPN
bracis-28370	266	20	universitario	universitario	PROPN
bracis-28370	266	21	da	da	PROPN
bracis-28370	266	22	fei	fei	PROPN
bracis-28370	266	23	,	,	PUNCT
bracis-28370	266	24	são	são	PROPN
bracis-28370	266	25	bernardo	bernardo	PROPN
bracis-28370	266	26	do	do	AUX
bracis-28370	266	27	campo	campo	PROPN
bracis-28370	266	28	,	,	PUNCT
bracis-28370	266	29	brazil	brazil	PROPN
bracis-28370	266	30	reinaldo	reinaldo	PROPN
bracis-28370	266	31	a.	a.	PROPN
bracis-28370	266	32	c.	c.	PROPN
bracis-28370	266	33	bianchi	bianchi	PROPN
bracis-28370	266	34	rights	right	NOUN
bracis-28370	266	35	and	and	CCONJ
bracis-28370	266	36	permissions	permission	NOUN
bracis-28370	266	37	reprints	reprint	NOUN
bracis-28370	266	38	and	and	CCONJ
bracis-28370	266	39	permissions	permission	VERB
bracis-28370	266	40	copyright	copyright	NOUN
bracis-28370	266	41	information	information	NOUN
bracis-28370	266	42	©	©	ADP
bracis-28370	266	43	2023	2023	NUM
bracis-28370	266	44	the	the	DET
bracis-28370	266	45	author(s	author(s	NOUN
bracis-28370	266	46	)	)	PUNCT
bracis-28370	266	47	,	,	PUNCT
bracis-28370	266	48	under	under	ADP
bracis-28370	266	49	exclusive	exclusive	ADJ
bracis-28370	266	50	license	license	NOUN
bracis-28370	266	51	to	to	ADP
bracis-28370	266	52	springer	springer	NOUN
bracis-28370	266	53	nature	nature	PROPN
bracis-28370	266	54	switzerland	switzerland	PROPN
bracis-28370	266	55	ag	ag	PROPN
bracis-28370	266	56	about	about	ADP
bracis-28370	266	57	this	this	DET
bracis-28370	266	58	paper	paper	NOUN
bracis-28370	266	59	cite	cite	VERB
bracis-28370	266	60	this	this	DET
bracis-28370	266	61	paper	paper	NOUN
bracis-28370	266	62	filho	filho	NOUN
bracis-28370	266	63	,	,	PUNCT
bracis-28370	266	64	r.m	r.m	PROPN
bracis-28370	266	65	.	.	PROPN
bracis-28370	266	66	,	,	PUNCT
bracis-28370	266	67	pappa	pappa	PROPN
bracis-28370	266	68	,	,	PUNCT
bracis-28370	266	69	g.l	g.l	PROPN
bracis-28370	266	70	.	.	PROPN
bracis-28370	266	71	(	(	PUNCT
bracis-28370	266	72	2023	2023	NUM
bracis-28370	266	73	)	)	PUNCT
bracis-28370	266	74	.	.	PUNCT
bracis-28370	267	1	hybrid	hybrid	ADJ
bracis-28370	267	2	multilevel	multilevel	PROPN
bracis-28370	267	3	explanation	explanation	NOUN
bracis-28370	267	4	:	:	PUNCT
bracis-28370	267	5	a	a	DET
bracis-28370	267	6	new	new	ADJ
bracis-28370	267	7	approach	approach	NOUN
bracis-28370	267	8	for	for	ADP
bracis-28370	267	9	 	 	SPACE
bracis-28370	267	10	explaining	explain	VERB
bracis-28370	267	11	regression	regression	NOUN
bracis-28370	267	12	models	model	NOUN
bracis-28370	267	13	.	.	PUNCT
bracis-28370	268	1	in	in	ADP
bracis-28370	268	2	:	:	PUNCT
bracis-28370	268	3	naldi	naldi	PROPN
bracis-28370	268	4	,	,	PUNCT
bracis-28370	268	5	m.c	m.c	PROPN
bracis-28370	268	6	.	.	PROPN
bracis-28370	268	7	,	,	PUNCT
bracis-28370	268	8	bianchi	bianchi	PROPN
bracis-28370	268	9	,	,	PUNCT
bracis-28370	268	10	r.a.c	r.a.c	ADP
bracis-28370	268	11	.	.	PUNCT
bracis-28370	268	12	(	(	PUNCT
bracis-28370	268	13	eds	ed	NOUN
bracis-28370	268	14	)	)	PUNCT
bracis-28370	268	15	intelligent	intelligent	ADJ
bracis-28370	268	16	systems	system	NOUN
bracis-28370	268	17	.	.	PUNCT
bracis-28370	269	1	bracis	bracis	PROPN
bracis-28370	269	2	2023	2023	NUM
bracis-28370	269	3	.	.	PUNCT
bracis-28370	270	1	lecture	lecture	NOUN
bracis-28370	270	2	notes	note	NOUN
bracis-28370	270	3	in	in	ADP
bracis-28370	270	4	computer	computer	NOUN
bracis-28370	270	5	science	science	NOUN
bracis-28370	270	6	(	(	PUNCT
bracis-28370	270	7	)	)	PUNCT
bracis-28370	270	8	,	,	PUNCT
bracis-28370	270	9	vol	vol	NOUN
bracis-28370	270	10	14195	14195	NUM
bracis-28370	270	11	.	.	PUNCT
bracis-28370	271	1	springer	springer	NOUN
bracis-28370	271	2	,	,	PUNCT
bracis-28370	271	3	cham	cham	PROPN
bracis-28370	271	4	.	.	PUNCT
bracis-28370	272	1	https://doi.org/10.1007/978-3-031-45368-7_26	https://doi.org/10.1007/978-3-031-45368-7_26	PROPN
bracis-28370	272	2	download	download	NOUN
bracis-28370	272	3	citation	citation	NOUN
bracis-28370	272	4	.ris	.ris	PUNCT
bracis-28370	272	5	.enw	.enw	PROPN
bracis-28370	272	6	.bib	.bib	PUNCT
bracis-28370	273	1	doi	doi	PROPN
bracis-28370	273	2	:	:	PUNCT
bracis-28370	273	3	https://doi.org/10.1007/978-3-031-45368-7_26	https://doi.org/10.1007/978-3-031-45368-7_26	PRON
bracis-28370	273	4	published	publish	VERB
bracis-28370	273	5	:	:	PUNCT
bracis-28370	273	6	12	12	NUM
bracis-28370	273	7	october	october	PROPN
bracis-28370	273	8	2023	2023	NUM
bracis-28370	273	9	publisher	publisher	NOUN
bracis-28370	273	10	name	name	NOUN
bracis-28370	273	11	:	:	PUNCT
bracis-28370	273	12	springer	springer	NOUN
bracis-28370	273	13	,	,	PUNCT
bracis-28370	273	14	cham	cham	PROPN
bracis-28370	273	15	print	print	PROPN
bracis-28370	273	16	isbn	isbn	PROPN
bracis-28370	273	17	:	:	PUNCT
bracis-28370	273	18	978	978	NUM
bracis-28370	273	19	-	-	SYM
bracis-28370	273	20	3	3	NUM
bracis-28370	273	21	-	-	PUNCT
bracis-28370	273	22	031	031	NUM
bracis-28370	273	23	-	-	PUNCT
bracis-28370	273	24	45367	45367	NUM
bracis-28370	273	25	-	-	PUNCT
bracis-28370	273	26	0	0	NUM
bracis-28370	273	27	online	online	ADJ
bracis-28370	273	28	isbn	isbn	NOUN
bracis-28370	273	29	:	:	PUNCT
bracis-28370	273	30	978	978	NUM
bracis-28370	273	31	-	-	SYM
bracis-28370	273	32	3	3	NUM
bracis-28370	273	33	-	-	PUNCT
bracis-28370	273	34	031	031	NUM
bracis-28370	273	35	-	-	PUNCT
bracis-28370	273	36	45368	45368	NUM
bracis-28370	273	37	-	-	PUNCT
bracis-28370	273	38	7	7	NUM
bracis-28370	273	39	ebook	ebook	NOUN
bracis-28370	273	40	packages	package	NOUN
bracis-28370	273	41	:	:	PUNCT
bracis-28370	273	42	computer	computer	NOUN
bracis-28370	273	43	sciencecomputer	sciencecomputer	NOUN
bracis-28370	273	44	science	science	NOUN
bracis-28370	273	45	(	(	PUNCT
bracis-28370	273	46	r0	r0	NOUN
bracis-28370	273	47	)	)	PUNCT
bracis-28370	273	48	share	share	VERB
bracis-28370	273	49	this	this	DET
bracis-28370	273	50	paper	paper	NOUN
bracis-28370	273	51	anyone	anyone	PRON
bracis-28370	273	52	you	you	PRON
bracis-28370	273	53	share	share	VERB
bracis-28370	273	54	the	the	DET
bracis-28370	273	55	following	follow	VERB
bracis-28370	273	56	link	link	NOUN
bracis-28370	273	57	with	with	ADP
bracis-28370	273	58	will	will	AUX
bracis-28370	273	59	be	be	AUX
bracis-28370	273	60	able	able	ADJ
bracis-28370	273	61	to	to	PART
bracis-28370	273	62	read	read	VERB
bracis-28370	273	63	this	this	DET
bracis-28370	273	64	content	content	NOUN
bracis-28370	273	65	:	:	PUNCT
bracis-28370	273	66	get	get	VERB
bracis-28370	273	67	shareable	shareable	ADJ
bracis-28370	273	68	linksorry	linksorry	NOUN
bracis-28370	273	69	,	,	PUNCT
bracis-28370	273	70	a	a	DET
bracis-28370	273	71	shareable	shareable	ADJ
bracis-28370	273	72	link	link	NOUN
bracis-28370	273	73	is	be	AUX
bracis-28370	273	74	not	not	PART
bracis-28370	273	75	currently	currently	ADV
bracis-28370	273	76	available	available	ADJ
bracis-28370	273	77	for	for	ADP
bracis-28370	273	78	this	this	DET
bracis-28370	273	79	article	article	NOUN
bracis-28370	273	80	.	.	PUNCT
bracis-28370	274	1	copy	copy	VERB
bracis-28370	274	2	shareable	shareable	ADJ
bracis-28370	274	3	link	link	NOUN
bracis-28370	274	4	to	to	PART
bracis-28370	274	5	clipboard	clipboard	NOUN
bracis-28370	274	6	provided	provide	VERB
bracis-28370	274	7	by	by	ADP
bracis-28370	274	8	the	the	DET
bracis-28370	274	9	springer	springer	NOUN
bracis-28370	274	10	nature	nature	PROPN
bracis-28370	274	11	sharedit	sharedit	PROPN
bracis-28370	274	12	content	content	NOUN
bracis-28370	274	13	-	-	PUNCT
bracis-28370	274	14	sharing	share	VERB
bracis-28370	274	15	initiative	initiative	NOUN
bracis-28370	274	16	keywords	keyword	NOUN
bracis-28370	274	17	regression	regression	VERB
bracis-28370	274	18	explanation	explanation	NOUN
bracis-28370	274	19	multilevel	multilevel	NOUN
bracis-28370	274	20	hybrid	hybrid	NOUN
bracis-28370	274	21	explanation	explanation	NOUN
bracis-28370	274	22	publish	publish	NOUN
bracis-28370	274	23	with	with	ADP
bracis-28370	274	24	us	us	PROPN
bracis-28370	274	25	policies	policy	NOUN
bracis-28370	274	26	and	and	CCONJ
bracis-28370	274	27	ethics	ethic	NOUN
bracis-28370	274	28	profiles	profile	NOUN
bracis-28370	274	29	gisele	gisele	PROPN
bracis-28370	274	30	l.	l.	PROPN
bracis-28370	274	31	pappa	pappa	PROPN
bracis-28370	274	32	view	view	PROPN
bracis-28370	274	33	author	author	NOUN
bracis-28370	274	34	profile	profile	NOUN
bracis-28370	274	35	search	search	NOUN
bracis-28370	274	36	search	search	NOUN
bracis-28370	274	37	by	by	ADP
bracis-28370	274	38	keyword	keyword	NOUN
bracis-28370	274	39	or	or	CCONJ
bracis-28370	274	40	author	author	NOUN
bracis-28370	274	41	search	search	NOUN
bracis-28370	274	42	navigation	navigation	NOUN
bracis-28370	274	43	find	find	VERB
bracis-28370	274	44	a	a	DET
bracis-28370	274	45	journal	journal	NOUN
bracis-28370	274	46	publish	publish	VERB
bracis-28370	274	47	with	with	ADP
bracis-28370	274	48	us	we	PRON
bracis-28370	274	49	track	track	VERB
bracis-28370	274	50	your	your	PRON
bracis-28370	274	51	research	research	NOUN
bracis-28370	274	52	discover	discover	VERB
bracis-28370	274	53	content	content	NOUN
bracis-28370	274	54	journals	journal	NOUN
bracis-28370	274	55	a	a	DET
bracis-28370	274	56	-	-	PUNCT
bracis-28370	274	57	z	z	NOUN
bracis-28370	274	58	books	book	NOUN
bracis-28370	274	59	a	a	DET
bracis-28370	274	60	-	-	PUNCT
bracis-28370	274	61	z	z	NOUN
bracis-28370	274	62	publish	publish	NOUN
bracis-28370	274	63	with	with	ADP
bracis-28370	274	64	us	us	PROPN
bracis-28370	274	65	journal	journal	PROPN
bracis-28370	274	66	finder	finder	PROPN
bracis-28370	274	67	publish	publish	VERB
bracis-28370	274	68	your	your	PRON
bracis-28370	274	69	research	research	NOUN
bracis-28370	274	70	language	language	NOUN
bracis-28370	274	71	editing	edit	VERB
bracis-28370	274	72	open	open	ADJ
bracis-28370	274	73	access	access	NOUN
bracis-28370	274	74	publishing	publishing	NOUN
bracis-28370	274	75	products	product	NOUN
bracis-28370	274	76	and	and	CCONJ
bracis-28370	274	77	services	service	NOUN
bracis-28370	274	78	our	our	PRON
bracis-28370	274	79	products	product	NOUN
bracis-28370	274	80	librarians	librarian	VERB
bracis-28370	274	81	societies	society	NOUN
bracis-28370	274	82	partners	partner	NOUN
bracis-28370	274	83	and	and	CCONJ
bracis-28370	274	84	advertisers	advertiser	NOUN
bracis-28370	274	85	our	our	PRON
bracis-28370	274	86	brands	brand	NOUN
bracis-28370	274	87	springer	springer	NOUN
bracis-28370	274	88	nature	nature	PROPN
bracis-28370	274	89	portfolio	portfolio	PROPN
bracis-28370	274	90	bmc	bmc	PROPN
bracis-28370	274	91	palgrave	palgrave	PROPN
bracis-28370	274	92	macmillan	macmillan	PROPN
bracis-28370	274	93	apress	apress	PROPN
bracis-28370	274	94	discover	discover	VERB
bracis-28370	274	95	your	your	PRON
bracis-28370	274	96	privacy	privacy	NOUN
bracis-28370	274	97	choices	choice	NOUN
bracis-28370	274	98	/	/	SYM
bracis-28370	274	99	manage	manage	NOUN
bracis-28370	274	100	cookies	cookie	NOUN
bracis-28370	274	101	your	your	PRON
bracis-28370	274	102	us	us	PROPN
bracis-28370	275	1	state	state	NOUN
bracis-28370	275	2	privacy	privacy	NOUN
bracis-28370	275	3	rights	right	NOUN
bracis-28370	275	4	accessibility	accessibility	NOUN
bracis-28370	275	5	statement	statement	NOUN
bracis-28370	275	6	terms	term	NOUN
bracis-28370	275	7	and	and	CCONJ
bracis-28370	275	8	conditions	condition	NOUN
bracis-28370	275	9	privacy	privacy	NOUN
bracis-28370	275	10	policy	policy	NOUN
bracis-28370	275	11	help	help	NOUN
bracis-28370	275	12	and	and	CCONJ
bracis-28370	275	13	support	support	VERB
bracis-28370	275	14	legal	legal	ADJ
bracis-28370	275	15	notice	notice	NOUN
bracis-28370	275	16	cancel	cancel	VERB
bracis-28370	275	17	contracts	contract	NOUN
bracis-28370	275	18	here	here	ADV
bracis-28370	275	19	129.74.145.123	129.74.145.123	NUM
bracis-28370	275	20	hesburgh	hesburgh	PROPN
bracis-28370	275	21	library	library	PROPN
bracis-28370	275	22	er	er	INTJ
bracis-28370	275	23	unit	unit	NOUN
bracis-28370	275	24	(	(	PUNCT
bracis-28370	275	25	3005732405	3005732405	NUM
bracis-28370	275	26	)	)	PUNCT
bracis-28370	275	27	northeast	northeast	ADJ
bracis-28370	275	28	research	research	NOUN
bracis-28370	275	29	libraries	library	NOUN
bracis-28370	275	30	(	(	PUNCT
bracis-28370	275	31	nerl	nerl	PROPN
bracis-28370	275	32	)	)	PUNCT
bracis-28370	275	33	(	(	PUNCT
bracis-28370	275	34	8200828607	8200828607	NUM
bracis-28370	275	35	)	)	PUNCT
bracis-28370	275	36	nerl	nerl	VERB
bracis-28370	275	37	ta	ta	X
bracis-28370	275	38	account	account	NOUN
bracis-28370	275	39	(	(	PUNCT
bracis-28370	275	40	3006206169	3006206169	NUM
bracis-28370	275	41	)	)	PUNCT
bracis-28370	275	42	university	university	NOUN
bracis-28370	275	43	of	of	ADP
bracis-28370	275	44	notre	notre	PROPN
bracis-28370	275	45	dame	dame	PROPN
bracis-28370	275	46	hesburgh	hesburgh	PROPN
bracis-28370	275	47	library	library	NOUN
bracis-28370	275	48	(	(	PUNCT
bracis-28370	275	49	3000184373	3000184373	NUM
bracis-28370	275	50	)	)	PUNCT
bracis-28370	276	1	©	©	ADP
bracis-28370	276	2	2025	2025	NUM
bracis-28370	276	3	springer	springer	NOUN
bracis-28370	276	4	nature	nature	NOUN