id	sid	tid	token	lemma	pos
bracis-28354	1	1	logic	logic	NOUN
bracis-28354	1	2	-	-	PUNCT
bracis-28354	1	3	based	base	VERB
bracis-28354	1	4	explanations	explanation	NOUN
bracis-28354	1	5	for	for	ADP
bracis-28354	1	6	 	 	SPACE
bracis-28354	1	7	linear	linear	PROPN
bracis-28354	1	8	support	support	NOUN
bracis-28354	1	9	vector	vector	NOUN
bracis-28354	1	10	classifiers	classifier	NOUN
bracis-28354	1	11	with	with	ADP
bracis-28354	1	12	 	 	SPACE
bracis-28354	1	13	reject	reject	VERB
bracis-28354	1	14	option	option	NOUN
bracis-28354	1	15	|	|	NOUN
bracis-28354	1	16	springer	springer	NOUN
bracis-28354	1	17	nature	nature	NOUN
bracis-28354	1	18	link	link	PROPN
bracis-28354	1	19	(	(	PUNCT
bracis-28354	1	20	formerly	formerly	ADV
bracis-28354	1	21	springerlink	springerlink	NOUN
bracis-28354	1	22	)	)	PUNCT
bracis-28354	1	23	skip	skip	VERB
bracis-28354	1	24	to	to	ADP
bracis-28354	1	25	main	main	ADJ
bracis-28354	1	26	content	content	NOUN
bracis-28354	1	27	advertisement	advertisement	NOUN
bracis-28354	1	28	log	log	NOUN
bracis-28354	1	29	in	in	ADP
bracis-28354	1	30	menu	menu	NOUN
bracis-28354	1	31	find	find	VERB
bracis-28354	1	32	a	a	DET
bracis-28354	1	33	journal	journal	NOUN
bracis-28354	1	34	publish	publish	VERB
bracis-28354	1	35	with	with	ADP
bracis-28354	1	36	us	we	PRON
bracis-28354	1	37	track	track	VERB
bracis-28354	1	38	your	your	PRON
bracis-28354	1	39	research	research	NOUN
bracis-28354	1	40	search	search	NOUN
bracis-28354	1	41	cart	cart	NOUN
bracis-28354	1	42	home	home	NOUN
bracis-28354	1	43	intelligent	intelligent	ADJ
bracis-28354	1	44	systems	system	NOUN
bracis-28354	1	45	conference	conference	NOUN
bracis-28354	1	46	paper	paper	NOUN
bracis-28354	1	47	logic	logic	NOUN
bracis-28354	1	48	-	-	PUNCT
bracis-28354	1	49	based	base	VERB
bracis-28354	1	50	explanations	explanation	NOUN
bracis-28354	1	51	for	for	ADP
bracis-28354	1	52	 	 	SPACE
bracis-28354	1	53	linear	linear	PROPN
bracis-28354	1	54	support	support	NOUN
bracis-28354	1	55	vector	vector	NOUN
bracis-28354	1	56	classifiers	classifier	NOUN
bracis-28354	1	57	with	with	ADP
bracis-28354	1	58	 	 	SPACE
bracis-28354	1	59	reject	reject	VERB
bracis-28354	1	60	option	option	NOUN
bracis-28354	1	61	conference	conference	NOUN
bracis-28354	1	62	paper	paper	NOUN
bracis-28354	1	63	first	first	ADV
bracis-28354	1	64	online	online	ADV
bracis-28354	1	65	:	:	PUNCT
bracis-28354	1	66	12	12	NUM
bracis-28354	1	67	october	october	NOUN
bracis-28354	1	68	2023	2023	NUM
bracis-28354	1	69	pp	pp	PROPN
bracis-28354	1	70	144–159	144–159	NUM
bracis-28354	1	71	cite	cite	VERB
bracis-28354	1	72	this	this	DET
bracis-28354	1	73	conference	conference	NOUN
bracis-28354	1	74	paper	paper	NOUN
bracis-28354	1	75	access	access	NOUN
bracis-28354	1	76	provided	provide	VERB
bracis-28354	1	77	by	by	ADP
bracis-28354	1	78	university	university	PROPN
bracis-28354	1	79	of	of	ADP
bracis-28354	1	80	notre	notre	PROPN
bracis-28354	1	81	dame	dame	PROPN
bracis-28354	1	82	hesburgh	hesburgh	PROPN
bracis-28354	1	83	library	library	PROPN
bracis-28354	1	84	download	download	PROPN
bracis-28354	1	85	book	book	NOUN
bracis-28354	1	86	pdf	pdf	PROPN
bracis-28354	1	87	download	download	NOUN
bracis-28354	1	88	book	book	NOUN
bracis-28354	1	89	epub	epub	PROPN
bracis-28354	1	90	intelligent	intelligent	ADJ
bracis-28354	1	91	systems	system	NOUN
bracis-28354	1	92	(	(	PUNCT
bracis-28354	1	93	bracis	bracis	NOUN
bracis-28354	1	94	2023	2023	NUM
bracis-28354	1	95	)	)	PUNCT
bracis-28354	1	96	logic	logic	NOUN
bracis-28354	1	97	-	-	PUNCT
bracis-28354	1	98	based	base	VERB
bracis-28354	1	99	explanations	explanation	NOUN
bracis-28354	1	100	for	for	ADP
bracis-28354	1	101	 	 	SPACE
bracis-28354	1	102	linear	linear	PROPN
bracis-28354	1	103	support	support	NOUN
bracis-28354	1	104	vector	vector	NOUN
bracis-28354	1	105	classifiers	classifier	NOUN
bracis-28354	1	106	with	with	ADP
bracis-28354	1	107	 	 	SPACE
bracis-28354	1	108	reject	reject	VERB
bracis-28354	1	109	option	option	NOUN
bracis-28354	1	110	download	download	NOUN
bracis-28354	1	111	book	book	NOUN
bracis-28354	1	112	pdf	pdf	PROPN
bracis-28354	1	113	download	download	NOUN
bracis-28354	1	114	book	book	PROPN
bracis-28354	1	115	epub	epub	PROPN
bracis-28354	1	116	francisco	francisco	PROPN
bracis-28354	1	117	mateus	mateus	PROPN
bracis-28354	1	118	rocha	rocha	PROPN
bracis-28354	1	119	  	  	SPACE
bracis-28354	1	120	orcid	orcid	NOUN
bracis-28354	1	121	:	:	PUNCT
bracis-28354	1	122	orcid.org/0009-0002-2261-37679	orcid.org/0009-0002-2261-37679	NOUN
bracis-28354	1	123	,	,	PUNCT
bracis-28354	1	124	thiago	thiago	PROPN
bracis-28354	1	125	alves	alves	PROPN
bracis-28354	1	126	rocha	rocha	PROPN
bracis-28354	1	127	  	  	SPACE
bracis-28354	1	128	orcid	orcid	PROPN
bracis-28354	1	129	:	:	PUNCT
bracis-28354	1	130	orcid.org/0000-0001-7037-96839	orcid.org/0000-0001-7037-96839	NOUN
bracis-28354	1	131	,	,	PUNCT
bracis-28354	1	132	reginaldo	reginaldo	PROPN
bracis-28354	1	133	pereira	pereira	PROPN
bracis-28354	1	134	fernandes	fernandes	PROPN
bracis-28354	1	135	ribeiro	ribeiro	PROPN
bracis-28354	1	136	  	  	SPACE
bracis-28354	1	137	orcid	orcid	PROPN
bracis-28354	1	138	:	:	PUNCT
bracis-28354	1	139	orcid.org/0009-0000-0250-57139	orcid.org/0009-0000-0250-57139	PROPN
bracis-28354	1	140	&	&	CCONJ
bracis-28354	1	141	…	…	PUNCT
bracis-28354	2	1	ajalmar	ajalmar	PROPN
bracis-28354	2	2	rêgo	rêgo	PROPN
bracis-28354	2	3	rocha	rocha	PROPN
bracis-28354	2	4	  	  	SPACE
bracis-28354	2	5	orcid	orcid	NOUN
bracis-28354	2	6	:	:	PUNCT
bracis-28354	2	7	orcid.org/0000-0002-4512-55319	orcid.org/0000-0002-4512-55319	VERB
bracis-28354	2	8	  	  	SPACE
bracis-28354	2	9	show	show	VERB
bracis-28354	2	10	authors	author	NOUN
bracis-28354	2	11	part	part	NOUN
bracis-28354	2	12	of	of	ADP
bracis-28354	2	13	the	the	DET
bracis-28354	2	14	book	book	NOUN
bracis-28354	2	15	series	series	NOUN
bracis-28354	2	16	:	:	PUNCT
bracis-28354	2	17	lecture	lecture	NOUN
bracis-28354	2	18	notes	note	NOUN
bracis-28354	2	19	in	in	ADP
bracis-28354	2	20	computer	computer	NOUN
bracis-28354	2	21	science	science	NOUN
bracis-28354	2	22	(	(	PUNCT
bracis-28354	2	23	(	(	PUNCT
bracis-28354	2	24	lnai	lnai	ADJ
bracis-28354	2	25	,	,	PUNCT
bracis-28354	2	26	volume	volume	NOUN
bracis-28354	2	27	14195	14195	NUM
bracis-28354	2	28	)	)	PUNCT
bracis-28354	2	29	)	)	PUNCT
bracis-28354	2	30	included	include	VERB
bracis-28354	2	31	in	in	ADP
bracis-28354	2	32	the	the	DET
bracis-28354	2	33	following	follow	VERB
bracis-28354	2	34	conference	conference	NOUN
bracis-28354	2	35	series	series	NOUN
bracis-28354	2	36	:	:	PUNCT
bracis-28354	2	37	brazilian	brazilian	ADJ
bracis-28354	2	38	conference	conference	NOUN
bracis-28354	2	39	on	on	ADP
bracis-28354	2	40	intelligent	intelligent	ADJ
bracis-28354	2	41	systems	system	NOUN
bracis-28354	2	42	531	531	NUM
bracis-28354	2	43	accesses	access	NOUN
bracis-28354	2	44	2	2	NUM
bracis-28354	2	45	citations	citation	NOUN
bracis-28354	2	46	2	2	NUM
bracis-28354	2	47	altmetric	altmetric	ADJ
bracis-28354	2	48	abstract	abstract	ADJ
bracis-28354	2	49	support	support	NOUN
bracis-28354	2	50	vector	vector	NOUN
bracis-28354	2	51	classifier	classifier	NOUN
bracis-28354	2	52	(	(	PUNCT
bracis-28354	2	53	svc	svc	PROPN
bracis-28354	2	54	)	)	PUNCT
bracis-28354	2	55	is	be	AUX
bracis-28354	2	56	a	a	DET
bracis-28354	2	57	well	well	ADV
bracis-28354	2	58	-	-	PUNCT
bracis-28354	2	59	known	know	VERB
bracis-28354	2	60	machine	machine	NOUN
bracis-28354	2	61	learning	learning	NOUN
bracis-28354	2	62	(	(	PUNCT
bracis-28354	2	63	ml	ml	NOUN
bracis-28354	2	64	)	)	PUNCT
bracis-28354	2	65	model	model	NOUN
bracis-28354	2	66	for	for	ADP
bracis-28354	2	67	linear	linear	ADJ
bracis-28354	2	68	classification	classification	NOUN
bracis-28354	2	69	problems	problem	NOUN
bracis-28354	2	70	.	.	PUNCT
bracis-28354	3	1	it	it	PRON
bracis-28354	3	2	can	can	AUX
bracis-28354	3	3	be	be	AUX
bracis-28354	3	4	used	use	VERB
bracis-28354	3	5	in	in	ADP
bracis-28354	3	6	conjunction	conjunction	NOUN
bracis-28354	3	7	with	with	ADP
bracis-28354	3	8	a	a	DET
bracis-28354	3	9	reject	reject	NOUN
bracis-28354	3	10	option	option	NOUN
bracis-28354	3	11	strategy	strategy	NOUN
bracis-28354	3	12	to	to	PART
bracis-28354	3	13	reject	reject	VERB
bracis-28354	3	14	instances	instance	NOUN
bracis-28354	3	15	that	that	PRON
bracis-28354	3	16	are	be	AUX
bracis-28354	3	17	hard	hard	ADJ
bracis-28354	3	18	to	to	PART
bracis-28354	3	19	correctly	correctly	ADV
bracis-28354	3	20	classify	classify	VERB
bracis-28354	3	21	and	and	CCONJ
bracis-28354	3	22	delegate	delegate	VERB
bracis-28354	3	23	them	they	PRON
bracis-28354	3	24	to	to	ADP
bracis-28354	3	25	a	a	DET
bracis-28354	3	26	specialist	specialist	NOUN
bracis-28354	3	27	.	.	PUNCT
bracis-28354	4	1	this	this	PRON
bracis-28354	4	2	further	further	ADJ
bracis-28354	4	3	increases	increase	VERB
bracis-28354	4	4	the	the	DET
bracis-28354	4	5	confidence	confidence	NOUN
bracis-28354	4	6	of	of	ADP
bracis-28354	4	7	the	the	DET
bracis-28354	4	8	model	model	NOUN
bracis-28354	4	9	.	.	PUNCT
bracis-28354	5	1	given	give	VERB
bracis-28354	5	2	this	this	PRON
bracis-28354	5	3	,	,	PUNCT
bracis-28354	5	4	obtaining	obtain	VERB
bracis-28354	5	5	an	an	DET
bracis-28354	5	6	explanation	explanation	NOUN
bracis-28354	5	7	of	of	ADP
bracis-28354	5	8	the	the	DET
bracis-28354	5	9	cause	cause	NOUN
bracis-28354	5	10	of	of	ADP
bracis-28354	5	11	rejection	rejection	NOUN
bracis-28354	5	12	is	be	AUX
bracis-28354	5	13	important	important	ADJ
bracis-28354	5	14	to	to	PART
bracis-28354	5	15	not	not	PART
bracis-28354	5	16	blindly	blindly	ADV
bracis-28354	5	17	trust	trust	VERB
bracis-28354	5	18	the	the	DET
bracis-28354	5	19	obtained	obtain	VERB
bracis-28354	5	20	results	result	NOUN
bracis-28354	5	21	.	.	PUNCT
bracis-28354	6	1	while	while	SCONJ
bracis-28354	6	2	most	most	ADJ
bracis-28354	6	3	of	of	ADP
bracis-28354	6	4	the	the	DET
bracis-28354	6	5	related	relate	VERB
bracis-28354	6	6	work	work	NOUN
bracis-28354	6	7	has	have	AUX
bracis-28354	6	8	developed	develop	VERB
bracis-28354	6	9	means	mean	NOUN
bracis-28354	6	10	to	to	PART
bracis-28354	6	11	give	give	VERB
bracis-28354	6	12	such	such	ADJ
bracis-28354	6	13	explanations	explanation	NOUN
bracis-28354	6	14	for	for	ADP
bracis-28354	6	15	machine	machine	NOUN
bracis-28354	6	16	learning	learning	NOUN
bracis-28354	6	17	models	model	NOUN
bracis-28354	6	18	,	,	PUNCT
bracis-28354	6	19	to	to	ADP
bracis-28354	6	20	the	the	DET
bracis-28354	6	21	best	good	ADJ
bracis-28354	6	22	of	of	ADP
bracis-28354	6	23	our	our	PRON
bracis-28354	6	24	knowledge	knowledge	NOUN
bracis-28354	6	25	none	none	NOUN
bracis-28354	6	26	have	have	AUX
bracis-28354	6	27	done	do	VERB
bracis-28354	6	28	so	so	ADV
bracis-28354	6	29	for	for	ADP
bracis-28354	6	30	when	when	SCONJ
bracis-28354	6	31	reject	reject	NOUN
bracis-28354	6	32	option	option	NOUN
bracis-28354	6	33	is	be	AUX
bracis-28354	6	34	present	present	ADJ
bracis-28354	6	35	.	.	PUNCT
bracis-28354	7	1	we	we	PRON
bracis-28354	7	2	propose	propose	VERB
bracis-28354	7	3	a	a	DET
bracis-28354	7	4	logic	logic	NOUN
bracis-28354	7	5	-	-	PUNCT
bracis-28354	7	6	based	base	VERB
bracis-28354	7	7	approach	approach	NOUN
bracis-28354	7	8	with	with	ADP
bracis-28354	7	9	formal	formal	ADJ
bracis-28354	7	10	guarantees	guarantee	NOUN
bracis-28354	7	11	on	on	ADP
bracis-28354	7	12	the	the	DET
bracis-28354	7	13	correctness	correctness	NOUN
bracis-28354	7	14	and	and	CCONJ
bracis-28354	7	15	minimality	minimality	NOUN
bracis-28354	7	16	of	of	ADP
bracis-28354	7	17	explanations	explanation	NOUN
bracis-28354	7	18	for	for	ADP
bracis-28354	7	19	linear	linear	PROPN
bracis-28354	7	20	svcs	svcs	PROPN
bracis-28354	7	21	with	with	ADP
bracis-28354	7	22	reject	reject	PROPN
bracis-28354	7	23	option	option	NOUN
bracis-28354	7	24	.	.	PUNCT
bracis-28354	8	1	we	we	PRON
bracis-28354	8	2	evaluate	evaluate	VERB
bracis-28354	8	3	our	our	PRON
bracis-28354	8	4	approach	approach	NOUN
bracis-28354	8	5	by	by	ADP
bracis-28354	8	6	comparing	compare	VERB
bracis-28354	8	7	it	it	PRON
bracis-28354	8	8	to	to	ADP
bracis-28354	8	9	anchors	anchor	NOUN
bracis-28354	8	10	,	,	PUNCT
bracis-28354	8	11	which	which	PRON
bracis-28354	8	12	is	be	AUX
bracis-28354	8	13	a	a	DET
bracis-28354	8	14	heuristic	heuristic	ADJ
bracis-28354	8	15	algorithm	algorithm	NOUN
bracis-28354	8	16	for	for	ADP
bracis-28354	8	17	generating	generate	VERB
bracis-28354	8	18	explanations	explanation	NOUN
bracis-28354	8	19	.	.	PUNCT
bracis-28354	9	1	obtained	obtain	VERB
bracis-28354	9	2	results	result	NOUN
bracis-28354	9	3	show	show	VERB
bracis-28354	9	4	that	that	SCONJ
bracis-28354	9	5	our	our	PRON
bracis-28354	9	6	proposed	propose	VERB
bracis-28354	9	7	method	method	NOUN
bracis-28354	9	8	gives	give	VERB
bracis-28354	9	9	shorter	short	ADJ
bracis-28354	9	10	explanations	explanation	NOUN
bracis-28354	9	11	with	with	ADP
bracis-28354	9	12	reduced	reduce	VERB
bracis-28354	9	13	time	time	NOUN
bracis-28354	9	14	cost	cost	NOUN
bracis-28354	9	15	.	.	PUNCT
bracis-28354	10	1	furthermore	furthermore	ADV
bracis-28354	10	2	,	,	PUNCT
bracis-28354	10	3	although	although	SCONJ
bracis-28354	10	4	our	our	PRON
bracis-28354	10	5	approach	approach	NOUN
bracis-28354	10	6	is	be	AUX
bracis-28354	10	7	demonstrated	demonstrate	VERB
bracis-28354	10	8	with	with	ADP
bracis-28354	10	9	linear	linear	PROPN
bracis-28354	10	10	svcs	svcs	PROPN
bracis-28354	10	11	,	,	PUNCT
bracis-28354	10	12	it	it	PRON
bracis-28354	10	13	can	can	AUX
bracis-28354	10	14	be	be	AUX
bracis-28354	10	15	easily	easily	ADV
bracis-28354	10	16	adapted	adapt	VERB
bracis-28354	10	17	to	to	ADP
bracis-28354	10	18	other	other	ADJ
bracis-28354	10	19	classifiers	classifier	NOUN
bracis-28354	10	20	with	with	ADP
bracis-28354	10	21	reject	reject	NOUN
bracis-28354	10	22	option	option	NOUN
bracis-28354	10	23	,	,	PUNCT
bracis-28354	10	24	such	such	ADJ
bracis-28354	10	25	as	as	ADP
bracis-28354	10	26	neural	neural	ADJ
bracis-28354	10	27	networks	network	NOUN
bracis-28354	10	28	and	and	CCONJ
bracis-28354	10	29	random	random	ADJ
bracis-28354	10	30	forests	forest	NOUN
bracis-28354	10	31	.	.	PUNCT
bracis-28354	11	1	access	access	NOUN
bracis-28354	11	2	provided	provide	VERB
bracis-28354	11	3	by	by	ADP
bracis-28354	11	4	university	university	PROPN
bracis-28354	11	5	of	of	ADP
bracis-28354	11	6	notre	notre	PROPN
bracis-28354	11	7	dame	dame	PROPN
bracis-28354	11	8	hesburgh	hesburgh	PROPN
bracis-28354	11	9	library	library	PROPN
bracis-28354	11	10	.	.	PUNCT
bracis-28354	12	1	download	download	PROPN
bracis-28354	12	2	conference	conference	NOUN
bracis-28354	12	3	paper	paper	NOUN
bracis-28354	12	4	pdf	pdf	NOUN
bracis-28354	12	5	similar	similar	ADJ
bracis-28354	12	6	content	content	NOUN
bracis-28354	12	7	being	be	AUX
bracis-28354	12	8	viewed	view	VERB
bracis-28354	12	9	by	by	ADP
bracis-28354	12	10	others	other	NOUN
bracis-28354	12	11	classic	classic	ADJ
bracis-28354	12	12	machine	machine	NOUN
bracis-28354	12	13	learning	learn	VERB
bracis-28354	12	14	methods	method	NOUN
bracis-28354	12	15	chapter	chapter	NOUN
bracis-28354	12	16	©	©	PROPN
bracis-28354	12	17	2023	2023	NUM
bracis-28354	12	18	supervised	supervise	VERB
bracis-28354	12	19	learning	learning	NOUN
bracis-28354	12	20	chapter	chapter	NOUN
bracis-28354	12	21	©	©	PROPN
bracis-28354	12	22	2024	2024	NUM
bracis-28354	12	23	legitimate	legitimate	ADJ
bracis-28354	12	24	and	and	CCONJ
bracis-28354	12	25	spam	spam	NOUN
bracis-28354	12	26	sms	sms	NOUN
bracis-28354	12	27	classification	classification	NOUN
bracis-28354	12	28	employing	employ	VERB
bracis-28354	12	29	novel	novel	ADJ
bracis-28354	12	30	ensemble	ensemble	ADJ
bracis-28354	12	31	feature	feature	NOUN
bracis-28354	12	32	selection	selection	NOUN
bracis-28354	12	33	algorithm	algorithm	NOUN
bracis-28354	12	34	article	article	NOUN
bracis-28354	12	35	29	29	NUM
bracis-28354	12	36	july	july	PROPN
bracis-28354	12	37	2023	2023	NUM
bracis-28354	12	38	explore	explore	VERB
bracis-28354	12	39	related	relate	VERB
bracis-28354	12	40	subjects	subject	NOUN
bracis-28354	12	41	discover	discover	VERB
bracis-28354	12	42	the	the	DET
bracis-28354	12	43	latest	late	ADJ
bracis-28354	12	44	articles	article	NOUN
bracis-28354	12	45	,	,	PUNCT
bracis-28354	12	46	books	book	NOUN
bracis-28354	12	47	and	and	CCONJ
bracis-28354	12	48	news	news	NOUN
bracis-28354	12	49	in	in	ADP
bracis-28354	12	50	related	related	ADJ
bracis-28354	12	51	subjects	subject	NOUN
bracis-28354	12	52	,	,	PUNCT
bracis-28354	12	53	suggested	suggest	VERB
bracis-28354	12	54	using	use	VERB
bracis-28354	12	55	machine	machine	NOUN
bracis-28354	12	56	learning	learning	NOUN
bracis-28354	12	57	.	.	PUNCT
bracis-28354	13	1	logical	logical	ADJ
bracis-28354	13	2	analysis	analysis	NOUN
bracis-28354	13	3	linear	linear	ADJ
bracis-28354	13	4	logic	logic	NOUN
bracis-28354	13	5	learning	learn	VERB
bracis-28354	13	6	algorithms	algorithm	NOUN
bracis-28354	13	7	logic	logic	NOUN
bracis-28354	13	8	machine	machine	NOUN
bracis-28354	13	9	learning	learn	VERB
bracis-28354	13	10	symbolic	symbolic	ADJ
bracis-28354	13	11	ai	ai	VERB
bracis-28354	13	12	1	1	NUM
bracis-28354	13	13	introduction	introduction	NOUN
bracis-28354	13	14	it	it	PRON
bracis-28354	13	15	is	be	AUX
bracis-28354	13	16	undeniable	undeniable	ADJ
bracis-28354	13	17	that	that	SCONJ
bracis-28354	13	18	artificial	artificial	ADJ
bracis-28354	13	19	intelligence	intelligence	NOUN
bracis-28354	13	20	is	be	AUX
bracis-28354	13	21	increasingly	increasingly	ADV
bracis-28354	13	22	being	be	AUX
bracis-28354	13	23	inserted	insert	VERB
bracis-28354	13	24	into	into	ADP
bracis-28354	13	25	the	the	DET
bracis-28354	13	26	daily	daily	ADJ
bracis-28354	13	27	lives	life	NOUN
bracis-28354	13	28	of	of	ADP
bracis-28354	13	29	people	people	NOUN
bracis-28354	13	30	 	 	SPACE
bracis-28354	14	1	[	[	X
bracis-28354	14	2	14	14	NUM
bracis-28354	14	3	]	]	PUNCT
bracis-28354	14	4	,	,	PUNCT
bracis-28354	14	5	influencing	influence	VERB
bracis-28354	14	6	the	the	DET
bracis-28354	14	7	most	most	ADV
bracis-28354	14	8	complex	complex	ADJ
bracis-28354	14	9	decision	decision	NOUN
bracis-28354	14	10	taking	take	VERB
bracis-28354	14	11	tasks	task	NOUN
bracis-28354	14	12	 	 	SPACE
bracis-28354	15	1	[	[	X
bracis-28354	15	2	22	22	NUM
bracis-28354	15	3	]	]	PUNCT
bracis-28354	15	4	.	.	PUNCT
bracis-28354	16	1	consequently	consequently	ADV
bracis-28354	16	2	,	,	PUNCT
bracis-28354	16	3	the	the	DET
bracis-28354	16	4	most	most	ADV
bracis-28354	16	5	varied	varied	ADJ
bracis-28354	16	6	classification	classification	NOUN
bracis-28354	16	7	models	model	NOUN
bracis-28354	16	8	in	in	ADP
bracis-28354	16	9	machine	machine	NOUN
bracis-28354	16	10	learning	learning	NOUN
bracis-28354	16	11	may	may	AUX
bracis-28354	16	12	come	come	VERB
bracis-28354	16	13	across	across	ADP
bracis-28354	16	14	instances	instance	NOUN
bracis-28354	16	15	that	that	PRON
bracis-28354	16	16	are	be	AUX
bracis-28354	16	17	difficult	difficult	ADJ
bracis-28354	16	18	to	to	PART
bracis-28354	16	19	correctly	correctly	ADV
bracis-28354	16	20	classify	classify	VERB
bracis-28354	16	21	,	,	PUNCT
bracis-28354	16	22	be	be	AUX
bracis-28354	16	23	it	it	PRON
bracis-28354	16	24	due	due	ADJ
bracis-28354	16	25	to	to	ADP
bracis-28354	16	26	lack	lack	NOUN
bracis-28354	16	27	of	of	ADP
bracis-28354	16	28	good	good	ADJ
bracis-28354	16	29	data	datum	NOUN
bracis-28354	16	30	,	,	PUNCT
bracis-28354	16	31	to	to	PART
bracis-28354	16	32	feature	feature	NOUN
bracis-28354	16	33	bias	bias	NOUN
bracis-28354	16	34	(	(	PUNCT
bracis-28354	16	35	color	color	NOUN
bracis-28354	16	36	,	,	PUNCT
bracis-28354	16	37	size	size	NOUN
bracis-28354	16	38	,	,	PUNCT
bracis-28354	16	39	gender	gender	NOUN
bracis-28354	16	40	)	)	PUNCT
bracis-28354	16	41	 	 	SPACE
bracis-28354	17	1	[	[	X
bracis-28354	17	2	7	7	X
bracis-28354	17	3	]	]	PUNCT
bracis-28354	17	4	or	or	CCONJ
bracis-28354	17	5	to	to	PART
bracis-28354	17	6	noise	noise	VERB
bracis-28354	17	7	present	present	ADJ
bracis-28354	17	8	on	on	ADP
bracis-28354	17	9	the	the	DET
bracis-28354	17	10	given	give	VERB
bracis-28354	17	11	instances	instance	NOUN
bracis-28354	17	12	 	 	SPACE
bracis-28354	17	13	[	[	X
bracis-28354	17	14	22	22	NUM
bracis-28354	17	15	]	]	PUNCT
bracis-28354	17	16	.	.	PUNCT
bracis-28354	18	1	the	the	DET
bracis-28354	18	2	svc	svc	PROPN
bracis-28354	18	3	is	be	AUX
bracis-28354	18	4	one	one	NUM
bracis-28354	18	5	of	of	ADP
bracis-28354	18	6	the	the	DET
bracis-28354	18	7	most	most	ADV
bracis-28354	18	8	well	well	ADV
bracis-28354	18	9	-	-	PUNCT
bracis-28354	18	10	known	know	VERB
bracis-28354	18	11	ml	ml	NOUN
bracis-28354	18	12	models	model	NOUN
bracis-28354	18	13	.	.	PUNCT
bracis-28354	19	1	the	the	DET
bracis-28354	19	2	linear	linear	ADJ
bracis-28354	19	3	support	support	NOUN
bracis-28354	19	4	vector	vector	NOUN
bracis-28354	19	5	machine	machine	NOUN
bracis-28354	19	6	(	(	PUNCT
bracis-28354	19	7	svm	svm	PROPN
bracis-28354	19	8	)	)	PUNCT
bracis-28354	19	9	,	,	PUNCT
bracis-28354	19	10	specifically	specifically	ADV
bracis-28354	19	11	,	,	PUNCT
bracis-28354	19	12	has	have	AUX
bracis-28354	19	13	been	be	AUX
bracis-28354	19	14	used	use	VERB
bracis-28354	19	15	in	in	ADP
bracis-28354	19	16	a	a	DET
bracis-28354	19	17	variety	variety	NOUN
bracis-28354	19	18	of	of	ADP
bracis-28354	19	19	classification	classification	NOUN
bracis-28354	19	20	problems	problem	NOUN
bracis-28354	19	21	 	 	SPACE
bracis-28354	20	1	[	[	X
bracis-28354	20	2	2	2	NUM
bracis-28354	20	3	,	,	PUNCT
bracis-28354	20	4	20	20	NUM
bracis-28354	20	5	,	,	PUNCT
bracis-28354	20	6	23	23	NUM
bracis-28354	20	7	]	]	PUNCT
bracis-28354	20	8	.	.	PUNCT
bracis-28354	21	1	however	however	ADV
bracis-28354	21	2	,	,	PUNCT
bracis-28354	21	3	this	this	DET
bracis-28354	21	4	model	model	NOUN
bracis-28354	21	5	can	can	AUX
bracis-28354	21	6	also	also	ADV
bracis-28354	21	7	fall	fall	VERB
bracis-28354	21	8	into	into	ADP
bracis-28354	21	9	the	the	DET
bracis-28354	21	10	same	same	ADJ
bracis-28354	21	11	previously	previously	ADV
bracis-28354	21	12	said	say	VERB
bracis-28354	21	13	pitfalls	pitfall	NOUN
bracis-28354	21	14	,	,	PUNCT
bracis-28354	21	15	failing	fail	VERB
bracis-28354	21	16	to	to	PART
bracis-28354	21	17	give	give	VERB
bracis-28354	21	18	a	a	DET
bracis-28354	21	19	correct	correct	ADJ
bracis-28354	21	20	classification	classification	NOUN
bracis-28354	21	21	.	.	PUNCT
bracis-28354	22	1	as	as	ADP
bracis-28354	22	2	such	such	ADJ
bracis-28354	22	3	,	,	PUNCT
bracis-28354	22	4	the	the	DET
bracis-28354	22	5	reject	reject	NOUN
bracis-28354	22	6	option	option	NOUN
bracis-28354	22	7	(	(	PUNCT
bracis-28354	22	8	ro	ro	NOUN
bracis-28354	22	9	)	)	PUNCT
bracis-28354	22	10	strategy	strategy	NOUN
bracis-28354	22	11	depicted	depict	VERB
bracis-28354	22	12	in	in	ADP
bracis-28354	22	13	 	 	SPACE
bracis-28354	22	14	[	[	X
bracis-28354	22	15	3	3	NUM
bracis-28354	22	16	]	]	PUNCT
bracis-28354	22	17	can	can	AUX
bracis-28354	22	18	be	be	AUX
bracis-28354	22	19	used	use	VERB
bracis-28354	22	20	to	to	PART
bracis-28354	22	21	remedy	remedy	VERB
bracis-28354	22	22	such	such	ADJ
bracis-28354	22	23	cases	case	NOUN
bracis-28354	22	24	.	.	PUNCT
bracis-28354	23	1	classification	classification	NOUN
bracis-28354	23	2	with	with	ADP
bracis-28354	23	3	ro	ro	PROPN
bracis-28354	23	4	is	be	AUX
bracis-28354	23	5	a	a	DET
bracis-28354	23	6	paradigm	paradigm	NOUN
bracis-28354	23	7	that	that	PRON
bracis-28354	23	8	aims	aim	VERB
bracis-28354	23	9	to	to	PART
bracis-28354	23	10	improve	improve	VERB
bracis-28354	23	11	reliability	reliability	NOUN
bracis-28354	23	12	in	in	ADP
bracis-28354	23	13	decision	decision	NOUN
bracis-28354	23	14	support	support	NOUN
bracis-28354	23	15	systems	system	NOUN
bracis-28354	23	16	by	by	ADP
bracis-28354	23	17	handling	handle	VERB
bracis-28354	23	18	the	the	DET
bracis-28354	23	19	more	more	ADV
bracis-28354	23	20	complex	complex	ADJ
bracis-28354	23	21	cases	case	NOUN
bracis-28354	23	22	and	and	CCONJ
bracis-28354	23	23	avoiding	avoid	VERB
bracis-28354	23	24	a	a	DET
bracis-28354	23	25	higher	high	ADJ
bracis-28354	23	26	error	error	NOUN
bracis-28354	23	27	rate	rate	NOUN
bracis-28354	23	28	.	.	PUNCT
bracis-28354	24	1	it	it	PRON
bracis-28354	24	2	involves	involve	VERB
bracis-28354	24	3	withholding	withhold	VERB
bracis-28354	24	4	and	and	CCONJ
bracis-28354	24	5	rejecting	reject	VERB
bracis-28354	24	6	a	a	DET
bracis-28354	24	7	sufficiently	sufficiently	ADV
bracis-28354	24	8	ambiguous	ambiguous	ADJ
bracis-28354	24	9	classification	classification	NOUN
bracis-28354	24	10	result	result	NOUN
bracis-28354	24	11	,	,	PUNCT
bracis-28354	24	12	i.e.	i.e.	X
bracis-28354	24	13	when	when	SCONJ
bracis-28354	24	14	the	the	DET
bracis-28354	24	15	instance	instance	NOUN
bracis-28354	24	16	in	in	ADP
bracis-28354	24	17	question	question	NOUN
bracis-28354	24	18	is	be	AUX
bracis-28354	24	19	situated	situate	VERB
bracis-28354	24	20	too	too	ADV
bracis-28354	24	21	close	close	ADJ
bracis-28354	24	22	to	to	ADP
bracis-28354	24	23	the	the	DET
bracis-28354	24	24	decision	decision	NOUN
bracis-28354	24	25	boundary	boundary	NOUN
bracis-28354	24	26	of	of	ADP
bracis-28354	24	27	the	the	DET
bracis-28354	24	28	classifier	classifier	NOUN
bracis-28354	24	29	.	.	PUNCT
bracis-28354	25	1	these	these	DET
bracis-28354	25	2	cases	case	NOUN
bracis-28354	25	3	are	be	AUX
bracis-28354	25	4	separated	separate	VERB
bracis-28354	25	5	to	to	PART
bracis-28354	25	6	be	be	AUX
bracis-28354	25	7	dealt	deal	VERB
bracis-28354	25	8	with	with	ADP
bracis-28354	25	9	in	in	ADP
bracis-28354	25	10	another	another	DET
bracis-28354	25	11	specialized	specialized	ADJ
bracis-28354	25	12	way	way	NOUN
bracis-28354	25	13	,	,	PUNCT
bracis-28354	25	14	be	be	AUX
bracis-28354	25	15	it	it	PRON
bracis-28354	25	16	through	through	ADP
bracis-28354	25	17	other	other	ADJ
bracis-28354	25	18	models	model	NOUN
bracis-28354	25	19	or	or	CCONJ
bracis-28354	25	20	with	with	ADP
bracis-28354	25	21	the	the	DET
bracis-28354	25	22	assistance	assistance	NOUN
bracis-28354	25	23	of	of	ADP
bracis-28354	25	24	a	a	DET
bracis-28354	25	25	human	human	ADJ
bracis-28354	25	26	specialist	specialist	NOUN
bracis-28354	25	27	 	 	SPACE
bracis-28354	26	1	[	[	X
bracis-28354	26	2	17	17	NUM
bracis-28354	26	3	]	]	PUNCT
bracis-28354	26	4	.	.	PUNCT
bracis-28354	27	1	since	since	SCONJ
bracis-28354	27	2	classification	classification	NOUN
bracis-28354	27	3	with	with	ADP
bracis-28354	27	4	ro	ro	NOUN
bracis-28354	27	5	comprises	comprise	VERB
bracis-28354	27	6	a	a	DET
bracis-28354	27	7	set	set	NOUN
bracis-28354	27	8	of	of	ADP
bracis-28354	27	9	techniques	technique	NOUN
bracis-28354	27	10	,	,	PUNCT
bracis-28354	27	11	in	in	ADP
bracis-28354	27	12	this	this	DET
bracis-28354	27	13	work	work	NOUN
bracis-28354	27	14	we	we	PRON
bracis-28354	27	15	consider	consider	VERB
bracis-28354	27	16	the	the	DET
bracis-28354	27	17	strategy	strategy	NOUN
bracis-28354	27	18	where	where	SCONJ
bracis-28354	27	19	the	the	DET
bracis-28354	27	20	classifier	classifier	NOUN
bracis-28354	27	21	is	be	AUX
bracis-28354	27	22	trained	train	VERB
bracis-28354	27	23	as	as	ADP
bracis-28354	27	24	usual	usual	ADJ
bracis-28354	27	25	and	and	CCONJ
bracis-28354	27	26	the	the	DET
bracis-28354	27	27	rejected	reject	VERB
bracis-28354	27	28	cases	case	NOUN
bracis-28354	27	29	are	be	AUX
bracis-28354	27	30	determined	determine	VERB
bracis-28354	27	31	after	after	ADP
bracis-28354	27	32	the	the	DET
bracis-28354	27	33	training	training	NOUN
bracis-28354	27	34	phase	phase	NOUN
bracis-28354	27	35	.	.	PUNCT
bracis-28354	28	1	usually	usually	ADV
bracis-28354	28	2	,	,	PUNCT
bracis-28354	28	3	this	this	DET
bracis-28354	28	4	process	process	NOUN
bracis-28354	28	5	requires	require	VERB
bracis-28354	28	6	finding	find	VERB
bracis-28354	28	7	a	a	DET
bracis-28354	28	8	trade	trade	NOUN
bracis-28354	28	9	-	-	PUNCT
bracis-28354	28	10	off	off	NOUN
bracis-28354	28	11	between	between	ADP
bracis-28354	28	12	the	the	DET
bracis-28354	28	13	costs	cost	NOUN
bracis-28354	28	14	of	of	ADP
bracis-28354	28	15	misclassifications	misclassification	NOUN
bracis-28354	28	16	and	and	CCONJ
bracis-28354	28	17	rejections	rejection	NOUN
bracis-28354	28	18	.	.	PUNCT
bracis-28354	29	1	the	the	DET
bracis-28354	29	2	linear	linear	PROPN
bracis-28354	29	3	svc	svc	PROPN
bracis-28354	29	4	can	can	AUX
bracis-28354	29	5	already	already	ADV
bracis-28354	29	6	be	be	AUX
bracis-28354	29	7	globally	globally	ADV
bracis-28354	29	8	interpreted	interpret	VERB
bracis-28354	29	9	to	to	ADP
bracis-28354	29	10	a	a	DET
bracis-28354	29	11	certain	certain	ADJ
bracis-28354	29	12	extent	extent	NOUN
bracis-28354	29	13	based	base	VERB
bracis-28354	29	14	on	on	ADP
bracis-28354	29	15	the	the	DET
bracis-28354	29	16	decision	decision	NOUN
bracis-28354	29	17	function	function	NOUN
bracis-28354	29	18	,	,	PUNCT
bracis-28354	29	19	where	where	SCONJ
bracis-28354	29	20	the	the	DET
bracis-28354	29	21	most	most	ADV
bracis-28354	29	22	important	important	ADJ
bracis-28354	29	23	features	feature	NOUN
bracis-28354	29	24	are	be	AUX
bracis-28354	29	25	often	often	ADV
bracis-28354	29	26	associated	associate	VERB
bracis-28354	29	27	with	with	ADP
bracis-28354	29	28	the	the	DET
bracis-28354	29	29	highest	high	ADJ
bracis-28354	29	30	weights	weight	NOUN
bracis-28354	29	31	[	[	X
bracis-28354	29	32	6	6	NUM
bracis-28354	29	33	]	]	PUNCT
bracis-28354	29	34	.	.	PUNCT
bracis-28354	30	1	such	such	ADJ
bracis-28354	30	2	analysis	analysis	NOUN
bracis-28354	30	3	,	,	PUNCT
bracis-28354	30	4	however	however	ADV
bracis-28354	30	5	,	,	PUNCT
bracis-28354	30	6	is	be	AUX
bracis-28354	30	7	not	not	PART
bracis-28354	30	8	capable	capable	ADJ
bracis-28354	30	9	of	of	ADP
bracis-28354	30	10	giving	give	VERB
bracis-28354	30	11	decisive	decisive	ADJ
bracis-28354	30	12	answers	answer	NOUN
bracis-28354	30	13	on	on	ADP
bracis-28354	30	14	more	more	ADV
bracis-28354	30	15	specific	specific	ADJ
bracis-28354	30	16	cases	case	NOUN
bracis-28354	30	17	[	[	X
bracis-28354	30	18	12	12	NUM
bracis-28354	30	19	]	]	PUNCT
bracis-28354	30	20	.	.	PUNCT
bracis-28354	31	1	an	an	DET
bracis-28354	31	2	example	example	NOUN
bracis-28354	31	3	of	of	ADP
bracis-28354	31	4	this	this	PRON
bracis-28354	31	5	is	be	AUX
bracis-28354	31	6	depicted	depict	VERB
bracis-28354	31	7	and	and	CCONJ
bracis-28354	31	8	more	more	ADV
bracis-28354	31	9	thoroughly	thoroughly	ADV
bracis-28354	31	10	explored	explore	VERB
bracis-28354	31	11	in	in	ADP
bracis-28354	31	12	sect	sect	NOUN
bracis-28354	31	13	.	.	PUNCT
bracis-28354	31	14	 	 	SPACE
bracis-28354	32	1	3	3	X
bracis-28354	32	2	.	.	PUNCT
bracis-28354	33	1	this	this	PRON
bracis-28354	33	2	gives	give	VERB
bracis-28354	33	3	a	a	DET
bracis-28354	33	4	margin	margin	NOUN
bracis-28354	33	5	for	for	ADP
bracis-28354	33	6	questionable	questionable	ADJ
bracis-28354	33	7	explanations	explanation	NOUN
bracis-28354	33	8	,	,	PUNCT
bracis-28354	33	9	especially	especially	ADV
bracis-28354	33	10	when	when	SCONJ
bracis-28354	33	11	ro	ro	PROPN
bracis-28354	33	12	is	be	AUX
bracis-28354	33	13	present	present	ADJ
bracis-28354	33	14	due	due	ADP
bracis-28354	33	15	to	to	ADP
bracis-28354	33	16	the	the	DET
bracis-28354	33	17	added	add	VERB
bracis-28354	33	18	level	level	NOUN
bracis-28354	33	19	of	of	ADP
bracis-28354	33	20	complexity	complexity	NOUN
bracis-28354	33	21	.	.	PUNCT
bracis-28354	34	1	therefore	therefore	ADV
bracis-28354	34	2	the	the	DET
bracis-28354	34	3	need	need	NOUN
bracis-28354	34	4	for	for	ADP
bracis-28354	34	5	a	a	DET
bracis-28354	34	6	more	more	ADV
bracis-28354	34	7	thorough	thorough	ADJ
bracis-28354	34	8	,	,	PUNCT
bracis-28354	34	9	instance	instance	NOUN
bracis-28354	34	10	-	-	PUNCT
bracis-28354	34	11	based	base	VERB
bracis-28354	34	12	explanation	explanation	NOUN
bracis-28354	34	13	method	method	NOUN
bracis-28354	34	14	.	.	PUNCT
bracis-28354	35	1	then	then	ADV
bracis-28354	35	2	,	,	PUNCT
bracis-28354	35	3	in	in	ADP
bracis-28354	35	4	this	this	DET
bracis-28354	35	5	work	work	NOUN
bracis-28354	35	6	,	,	PUNCT
bracis-28354	35	7	we	we	PRON
bracis-28354	35	8	consider	consider	VERB
bracis-28354	35	9	instance	instance	NOUN
bracis-28354	35	10	-	-	PUNCT
bracis-28354	35	11	based	base	VERB
bracis-28354	35	12	explanations	explanation	NOUN
bracis-28354	35	13	 	 	SPACE
bracis-28354	36	1	[	[	X
bracis-28354	36	2	7	7	NUM
bracis-28354	36	3	]	]	PUNCT
bracis-28354	36	4	.	.	PUNCT
bracis-28354	37	1	specifically	specifically	ADV
bracis-28354	37	2	,	,	PUNCT
bracis-28354	37	3	the	the	DET
bracis-28354	37	4	objective	objective	NOUN
bracis-28354	37	5	of	of	ADP
bracis-28354	37	6	instance	instance	NOUN
bracis-28354	37	7	-	-	PUNCT
bracis-28354	37	8	based	base	VERB
bracis-28354	37	9	explanations	explanation	NOUN
bracis-28354	37	10	is	be	AUX
bracis-28354	37	11	to	to	PART
bracis-28354	37	12	provide	provide	VERB
bracis-28354	37	13	interpretable	interpretable	ADJ
bracis-28354	37	14	insights	insight	NOUN
bracis-28354	37	15	by	by	ADP
bracis-28354	37	16	highlighting	highlight	VERB
bracis-28354	37	17	relevant	relevant	ADJ
bracis-28354	37	18	features	feature	NOUN
bracis-28354	37	19	that	that	PRON
bracis-28354	37	20	influenced	influence	VERB
bracis-28354	37	21	the	the	DET
bracis-28354	37	22	output	output	NOUN
bracis-28354	37	23	of	of	ADP
bracis-28354	37	24	an	an	DET
bracis-28354	37	25	ml	ml	NOUN
bracis-28354	37	26	model	model	NOUN
bracis-28354	37	27	on	on	ADP
bracis-28354	37	28	a	a	DET
bracis-28354	37	29	given	give	VERB
bracis-28354	37	30	instance	instance	NOUN
bracis-28354	37	31	.	.	PUNCT
bracis-28354	38	1	by	by	ADP
bracis-28354	38	2	linking	link	VERB
bracis-28354	38	3	the	the	DET
bracis-28354	38	4	output	output	NOUN
bracis-28354	38	5	to	to	ADP
bracis-28354	38	6	specific	specific	ADJ
bracis-28354	38	7	instances	instance	NOUN
bracis-28354	38	8	and	and	CCONJ
bracis-28354	38	9	their	their	PRON
bracis-28354	38	10	features	feature	NOUN
bracis-28354	38	11	,	,	PUNCT
bracis-28354	38	12	users	user	NOUN
bracis-28354	38	13	can	can	AUX
bracis-28354	38	14	gain	gain	VERB
bracis-28354	38	15	a	a	DET
bracis-28354	38	16	better	well	ADJ
bracis-28354	38	17	understanding	understanding	NOUN
bracis-28354	38	18	of	of	ADP
bracis-28354	38	19	the	the	DET
bracis-28354	38	20	reasons	reason	NOUN
bracis-28354	38	21	behind	behind	ADP
bracis-28354	38	22	the	the	DET
bracis-28354	38	23	predictions	prediction	NOUN
bracis-28354	38	24	of	of	ADP
bracis-28354	38	25	ml	ml	NOUN
bracis-28354	38	26	models	model	NOUN
bracis-28354	38	27	.	.	PUNCT
bracis-28354	39	1	the	the	DET
bracis-28354	39	2	popularization	popularization	NOUN
bracis-28354	39	3	of	of	ADP
bracis-28354	39	4	concepts	concept	NOUN
bracis-28354	39	5	of	of	ADP
bracis-28354	39	6	explainable	explainable	ADJ
bracis-28354	39	7	artificial	artificial	ADJ
bracis-28354	39	8	intelligence	intelligence	NOUN
bracis-28354	39	9	(	(	PUNCT
bracis-28354	39	10	xai	xai	PROPN
bracis-28354	39	11	)	)	PUNCT
bracis-28354	39	12	increased	increase	VERB
bracis-28354	39	13	efforts	effort	NOUN
bracis-28354	39	14	to	to	PART
bracis-28354	39	15	explain	explain	VERB
bracis-28354	39	16	most	most	ADJ
bracis-28354	39	17	complex	complex	ADJ
bracis-28354	39	18	models	model	NOUN
bracis-28354	39	19	 	 	SPACE
bracis-28354	40	1	[	[	X
bracis-28354	40	2	10	10	NUM
bracis-28354	40	3	]	]	PUNCT
bracis-28354	40	4	.	.	PUNCT
bracis-28354	41	1	these	these	PRON
bracis-28354	41	2	have	have	AUX
bracis-28354	41	3	mostly	mostly	ADV
bracis-28354	41	4	been	be	AUX
bracis-28354	41	5	done	do	VERB
bracis-28354	41	6	through	through	ADP
bracis-28354	41	7	heuristic	heuristic	ADJ
bracis-28354	41	8	methods	method	NOUN
bracis-28354	41	9	,	,	PUNCT
bracis-28354	41	10	the	the	DET
bracis-28354	41	11	more	more	ADV
bracis-28354	41	12	prevalent	prevalent	ADJ
bracis-28354	41	13	approach	approach	NOUN
bracis-28354	41	14	,	,	PUNCT
bracis-28354	41	15	such	such	ADJ
bracis-28354	41	16	as	as	ADP
bracis-28354	41	17	lime	lime	NOUN
bracis-28354	41	18	 	 	SPACE
bracis-28354	42	1	[	[	X
bracis-28354	42	2	18	18	NUM
bracis-28354	42	3	]	]	PUNCT
bracis-28354	42	4	,	,	PUNCT
bracis-28354	42	5	shap	shap	NOUN
bracis-28354	42	6	 	 	SPACE
bracis-28354	43	1	[	[	X
bracis-28354	43	2	15	15	NUM
bracis-28354	43	3	]	]	PUNCT
bracis-28354	43	4	,	,	PUNCT
bracis-28354	43	5	and	and	CCONJ
bracis-28354	43	6	anchors	anchor	NOUN
bracis-28354	43	7	 	 	SPACE
bracis-28354	44	1	[	[	X
bracis-28354	44	2	19	19	NUM
bracis-28354	44	3	]	]	PUNCT
bracis-28354	44	4	.	.	PUNCT
bracis-28354	45	1	these	these	PRON
bracis-28354	45	2	tend	tend	VERB
bracis-28354	45	3	to	to	PART
bracis-28354	45	4	be	be	AUX
bracis-28354	45	5	model	model	NOUN
bracis-28354	45	6	-	-	ADJ
bracis-28354	45	7	agnostic	agnostic	ADJ
bracis-28354	45	8	and	and	CCONJ
bracis-28354	45	9	not	not	PART
bracis-28354	45	10	able	able	ADJ
bracis-28354	45	11	to	to	PART
bracis-28354	45	12	guarantee	guarantee	VERB
bracis-28354	45	13	a	a	DET
bracis-28354	45	14	trustworthy	trustworthy	ADJ
bracis-28354	45	15	explanation	explanation	NOUN
bracis-28354	45	16	with	with	ADP
bracis-28354	45	17	regard	regard	NOUN
bracis-28354	45	18	to	to	ADP
bracis-28354	45	19	the	the	DET
bracis-28354	45	20	characteristics	characteristic	NOUN
bracis-28354	45	21	of	of	ADP
bracis-28354	45	22	the	the	DET
bracis-28354	45	23	model	model	NOUN
bracis-28354	45	24	or	or	CCONJ
bracis-28354	45	25	the	the	DET
bracis-28354	45	26	correctness	correctness	NOUN
bracis-28354	45	27	of	of	ADP
bracis-28354	45	28	the	the	DET
bracis-28354	45	29	answers	answer	NOUN
bracis-28354	45	30	 	 	SPACE
bracis-28354	46	1	[	[	X
bracis-28354	46	2	10	10	NUM
bracis-28354	46	3	]	]	PUNCT
bracis-28354	46	4	.	.	PUNCT
bracis-28354	47	1	then	then	ADV
bracis-28354	47	2	,	,	PUNCT
bracis-28354	47	3	their	their	PRON
bracis-28354	47	4	explanations	explanation	NOUN
bracis-28354	47	5	can	can	AUX
bracis-28354	47	6	be	be	AUX
bracis-28354	47	7	often	often	ADV
bracis-28354	47	8	proven	prove	VERB
bracis-28354	47	9	wrong	wrong	ADJ
bracis-28354	47	10	through	through	ADP
bracis-28354	47	11	counterexamples	counterexample	NOUN
bracis-28354	47	12	that	that	PRON
bracis-28354	47	13	expose	expose	VERB
bracis-28354	47	14	their	their	PRON
bracis-28354	47	15	contradictions	contradiction	NOUN
bracis-28354	47	16	,	,	PUNCT
bracis-28354	47	17	leading	lead	VERB
bracis-28354	47	18	to	to	ADP
bracis-28354	47	19	even	even	ADV
bracis-28354	47	20	more	more	ADJ
bracis-28354	47	21	doubts	doubt	NOUN
bracis-28354	47	22	regarding	regard	VERB
bracis-28354	47	23	how	how	SCONJ
bracis-28354	47	24	much	much	ADJ
bracis-28354	47	25	the	the	DET
bracis-28354	47	26	ml	ml	PROPN
bracis-28354	47	27	model	model	NOUN
bracis-28354	47	28	can	can	AUX
bracis-28354	47	29	be	be	AUX
bracis-28354	47	30	trusted	trust	VERB
bracis-28354	47	31	.	.	PUNCT
bracis-28354	48	1	thus	thus	ADV
bracis-28354	48	2	,	,	PUNCT
bracis-28354	48	3	the	the	DET
bracis-28354	48	4	importance	importance	NOUN
bracis-28354	48	5	of	of	ADP
bracis-28354	48	6	trustworthy	trustworthy	ADJ
bracis-28354	48	7	ml	ml	NOUN
bracis-28354	48	8	models	model	NOUN
bracis-28354	48	9	increases	increase	VERB
bracis-28354	48	10	the	the	DET
bracis-28354	48	11	need	need	NOUN
bracis-28354	48	12	for	for	ADP
bracis-28354	48	13	logic	logic	NOUN
bracis-28354	48	14	-	-	PUNCT
bracis-28354	48	15	based	base	VERB
bracis-28354	48	16	approaches	approach	NOUN
bracis-28354	48	17	to	to	PART
bracis-28354	48	18	explain	explain	VERB
bracis-28354	48	19	the	the	DET
bracis-28354	48	20	decisions	decision	NOUN
bracis-28354	48	21	made	make	VERB
bracis-28354	48	22	by	by	ADP
bracis-28354	48	23	these	these	DET
bracis-28354	48	24	models	model	NOUN
bracis-28354	48	25	 	 	SPACE
bracis-28354	49	1	[	[	X
bracis-28354	49	2	9	9	NUM
bracis-28354	49	3	,	,	PUNCT
bracis-28354	49	4	10	10	NUM
bracis-28354	49	5	]	]	PUNCT
bracis-28354	49	6	.	.	PUNCT
bracis-28354	50	1	the	the	DET
bracis-28354	50	2	computation	computation	NOUN
bracis-28354	50	3	of	of	ADP
bracis-28354	50	4	explanations	explanation	NOUN
bracis-28354	50	5	in	in	ADP
bracis-28354	50	6	these	these	DET
bracis-28354	50	7	approaches	approach	NOUN
bracis-28354	50	8	rigorously	rigorously	ADV
bracis-28354	50	9	explores	explore	VERB
bracis-28354	50	10	the	the	DET
bracis-28354	50	11	entire	entire	ADJ
bracis-28354	50	12	feature	feature	NOUN
bracis-28354	50	13	space	space	NOUN
bracis-28354	50	14	.	.	PUNCT
bracis-28354	51	1	due	due	ADP
bracis-28354	51	2	to	to	ADP
bracis-28354	51	3	this	this	PRON
bracis-28354	51	4	,	,	PUNCT
bracis-28354	51	5	such	such	ADJ
bracis-28354	51	6	explanations	explanation	NOUN
bracis-28354	51	7	are	be	AUX
bracis-28354	51	8	provably	provably	ADV
bracis-28354	51	9	correct	correct	ADJ
bracis-28354	51	10	and	and	CCONJ
bracis-28354	51	11	hold	hold	VERB
bracis-28354	51	12	for	for	ADP
bracis-28354	51	13	any	any	DET
bracis-28354	51	14	point	point	NOUN
bracis-28354	51	15	in	in	ADP
bracis-28354	51	16	the	the	DET
bracis-28354	51	17	space	space	NOUN
bracis-28354	51	18	,	,	PUNCT
bracis-28354	51	19	which	which	PRON
bracis-28354	51	20	therefore	therefore	ADV
bracis-28354	51	21	makes	make	VERB
bracis-28354	51	22	them	they	PRON
bracis-28354	51	23	trustworthy	trustworthy	ADJ
bracis-28354	51	24	 	 	SPACE
bracis-28354	52	1	[	[	X
bracis-28354	52	2	7	7	NUM
bracis-28354	52	3	]	]	PUNCT
bracis-28354	52	4	.	.	PUNCT
bracis-28354	53	1	moreover	moreover	ADV
bracis-28354	53	2	,	,	PUNCT
bracis-28354	53	3	logic	logic	NOUN
bracis-28354	53	4	-	-	PUNCT
bracis-28354	53	5	based	base	VERB
bracis-28354	53	6	approaches	approach	NOUN
bracis-28354	53	7	can	can	AUX
bracis-28354	53	8	guarantee	guarantee	VERB
bracis-28354	53	9	minimality	minimality	NOUN
bracis-28354	53	10	of	of	ADP
bracis-28354	53	11	explanations	explanation	NOUN
bracis-28354	53	12	.	.	PUNCT
bracis-28354	54	1	minimality	minimality	NOUN
bracis-28354	54	2	is	be	AUX
bracis-28354	54	3	important	important	ADJ
bracis-28354	54	4	since	since	SCONJ
bracis-28354	54	5	succinct	succinct	ADJ
bracis-28354	54	6	explanations	explanation	NOUN
bracis-28354	54	7	seem	seem	VERB
bracis-28354	54	8	easier	easy	ADJ
bracis-28354	54	9	to	to	PART
bracis-28354	54	10	be	be	AUX
bracis-28354	54	11	interpreted	interpret	VERB
bracis-28354	54	12	by	by	ADP
bracis-28354	54	13	humans	human	NOUN
bracis-28354	54	14	.	.	PUNCT
bracis-28354	55	1	recent	recent	ADJ
bracis-28354	55	2	years	year	NOUN
bracis-28354	55	3	have	have	AUX
bracis-28354	55	4	seen	see	VERB
bracis-28354	55	5	a	a	DET
bracis-28354	55	6	surge	surge	NOUN
bracis-28354	55	7	in	in	ADP
bracis-28354	55	8	research	research	NOUN
bracis-28354	55	9	dedicated	dedicate	VERB
bracis-28354	55	10	to	to	ADP
bracis-28354	55	11	investigating	investigate	VERB
bracis-28354	55	12	logic	logic	NOUN
bracis-28354	55	13	-	-	PUNCT
bracis-28354	55	14	based	base	VERB
bracis-28354	55	15	xai	xai	PROPN
bracis-28354	55	16	for	for	ADP
bracis-28354	55	17	ml	ml	PROPN
bracis-28354	55	18	models	model	NOUN
bracis-28354	55	19	,	,	PUNCT
bracis-28354	55	20	such	such	ADJ
bracis-28354	55	21	as	as	ADP
bracis-28354	55	22	neural	neural	ADJ
bracis-28354	55	23	networks	network	NOUN
bracis-28354	55	24	,	,	PUNCT
bracis-28354	55	25	naive	naive	ADJ
bracis-28354	55	26	bayes	bayes	NOUN
bracis-28354	55	27	,	,	PUNCT
bracis-28354	55	28	random	random	ADJ
bracis-28354	55	29	forests	forest	NOUN
bracis-28354	55	30	,	,	PUNCT
bracis-28354	55	31	decision	decision	NOUN
bracis-28354	55	32	trees	tree	NOUN
bracis-28354	55	33	,	,	PUNCT
bracis-28354	55	34	and	and	CCONJ
bracis-28354	55	35	boosted	boost	VERB
bracis-28354	55	36	trees	tree	NOUN
bracis-28354	55	37	 	 	SPACE
bracis-28354	56	1	[	[	X
bracis-28354	56	2	1	1	NUM
bracis-28354	56	3	,	,	PUNCT
bracis-28354	56	4	8	8	NUM
bracis-28354	56	5	,	,	PUNCT
bracis-28354	56	6	9	9	NUM
bracis-28354	56	7	,	,	PUNCT
bracis-28354	56	8	11	11	NUM
bracis-28354	56	9	,	,	PUNCT
bracis-28354	56	10	16	16	NUM
bracis-28354	56	11	]	]	PUNCT
bracis-28354	56	12	.	.	PUNCT
bracis-28354	57	1	due	due	ADP
bracis-28354	57	2	to	to	ADP
bracis-28354	57	3	the	the	DET
bracis-28354	57	4	importance	importance	NOUN
bracis-28354	57	5	of	of	ADP
bracis-28354	57	6	reject	reject	ADJ
bracis-28354	57	7	option	option	NOUN
bracis-28354	57	8	and	and	CCONJ
bracis-28354	57	9	logic	logic	NOUN
bracis-28354	57	10	-	-	PUNCT
bracis-28354	57	11	based	base	VERB
bracis-28354	57	12	explainability	explainability	NOUN
bracis-28354	57	13	for	for	ADP
bracis-28354	57	14	trustworthy	trustworthy	ADJ
bracis-28354	57	15	ml	ml	NOUN
bracis-28354	57	16	models	model	NOUN
bracis-28354	57	17	,	,	PUNCT
bracis-28354	57	18	this	this	DET
bracis-28354	57	19	work	work	NOUN
bracis-28354	57	20	proposes	propose	VERB
bracis-28354	57	21	a	a	DET
bracis-28354	57	22	logic	logic	NOUN
bracis-28354	57	23	-	-	PUNCT
bracis-28354	57	24	based	base	VERB
bracis-28354	57	25	approach	approach	NOUN
bracis-28354	57	26	to	to	PART
bracis-28354	57	27	explain	explain	VERB
bracis-28354	57	28	linear	linear	PROPN
bracis-28354	57	29	svcs	svcs	PROPN
bracis-28354	57	30	with	with	ADP
bracis-28354	57	31	reject	reject	PROPN
bracis-28354	57	32	option	option	NOUN
bracis-28354	57	33	.	.	PUNCT
bracis-28354	58	1	given	give	VERB
bracis-28354	58	2	that	that	SCONJ
bracis-28354	58	3	rejected	reject	VERB
bracis-28354	58	4	instances	instance	NOUN
bracis-28354	58	5	may	may	AUX
bracis-28354	58	6	be	be	AUX
bracis-28354	58	7	further	far	ADV
bracis-28354	58	8	analyzed	analyze	VERB
bracis-28354	58	9	by	by	ADP
bracis-28354	58	10	specialists	specialist	NOUN
bracis-28354	58	11	,	,	PUNCT
bracis-28354	58	12	explanations	explanation	NOUN
bracis-28354	58	13	regarding	regard	VERB
bracis-28354	58	14	the	the	DET
bracis-28354	58	15	causes	cause	NOUN
bracis-28354	58	16	of	of	ADP
bracis-28354	58	17	rejections	rejection	NOUN
bracis-28354	58	18	can	can	AUX
bracis-28354	58	19	reduce	reduce	VERB
bracis-28354	58	20	the	the	DET
bracis-28354	58	21	workload	workload	NOUN
bracis-28354	58	22	of	of	ADP
bracis-28354	58	23	these	these	DET
bracis-28354	58	24	professionals	professional	NOUN
bracis-28354	58	25	.	.	PUNCT
bracis-28354	59	1	our	our	PRON
bracis-28354	59	2	proposal	proposal	NOUN
bracis-28354	59	3	builds	build	VERB
bracis-28354	59	4	on	on	ADP
bracis-28354	59	5	work	work	NOUN
bracis-28354	59	6	from	from	ADP
bracis-28354	59	7	the	the	DET
bracis-28354	59	8	literature	literature	NOUN
bracis-28354	59	9	of	of	ADP
bracis-28354	59	10	logic	logic	NOUN
bracis-28354	59	11	-	-	PUNCT
bracis-28354	59	12	based	base	VERB
bracis-28354	59	13	explainability	explainability	NOUN
bracis-28354	59	14	for	for	ADP
bracis-28354	59	15	traditional	traditional	ADJ
bracis-28354	59	16	ml	ml	NOUN
bracis-28354	59	17	models	model	NOUN
bracis-28354	59	18	,	,	PUNCT
bracis-28354	59	19	i.e.	i.e.	X
bracis-28354	59	20	without	without	ADP
bracis-28354	59	21	reject	reject	NOUN
bracis-28354	59	22	option	option	NOUN
bracis-28354	59	23	 	 	SPACE
bracis-28354	60	1	[	[	X
bracis-28354	60	2	9	9	NUM
bracis-28354	60	3	]	]	PUNCT
bracis-28354	60	4	.	.	PUNCT
bracis-28354	61	1	we	we	PRON
bracis-28354	61	2	compute	compute	VERB
bracis-28354	61	3	explanations	explanation	NOUN
bracis-28354	61	4	for	for	ADP
bracis-28354	61	5	linear	linear	PROPN
bracis-28354	61	6	svcs	svcs	PROPN
bracis-28354	61	7	with	with	ADP
bracis-28354	61	8	ro	ro	X
bracis-28354	61	9	by	by	ADP
bracis-28354	61	10	solving	solve	VERB
bracis-28354	61	11	a	a	DET
bracis-28354	61	12	set	set	NOUN
bracis-28354	61	13	of	of	ADP
bracis-28354	61	14	logical	logical	ADJ
bracis-28354	61	15	constraints	constraint	NOUN
bracis-28354	61	16	,	,	PUNCT
bracis-28354	61	17	specifically	specifically	ADV
bracis-28354	61	18	,	,	PUNCT
bracis-28354	61	19	boolean	boolean	ADJ
bracis-28354	61	20	combinations	combination	NOUN
bracis-28354	61	21	of	of	ADP
bracis-28354	61	22	linear	linear	ADJ
bracis-28354	61	23	constraints	constraint	NOUN
bracis-28354	61	24	.	.	PUNCT
bracis-28354	62	1	despite	despite	SCONJ
bracis-28354	62	2	the	the	DET
bracis-28354	62	3	fact	fact	NOUN
bracis-28354	62	4	that	that	SCONJ
bracis-28354	62	5	we	we	PRON
bracis-28354	62	6	consider	consider	VERB
bracis-28354	62	7	a	a	DET
bracis-28354	62	8	linear	linear	ADJ
bracis-28354	62	9	svc	svc	NOUN
bracis-28354	62	10	with	with	ADP
bracis-28354	62	11	ro	ro	NOUN
bracis-28354	62	12	in	in	ADP
bracis-28354	62	13	this	this	DET
bracis-28354	62	14	work	work	NOUN
bracis-28354	62	15	,	,	PUNCT
bracis-28354	62	16	our	our	PRON
bracis-28354	62	17	approach	approach	NOUN
bracis-28354	62	18	can	can	AUX
bracis-28354	62	19	be	be	AUX
bracis-28354	62	20	easily	easily	ADV
bracis-28354	62	21	adapted	adapt	VERB
bracis-28354	62	22	for	for	ADP
bracis-28354	62	23	other	other	ADJ
bracis-28354	62	24	ml	ml	NOUN
bracis-28354	62	25	models	model	NOUN
bracis-28354	62	26	with	with	ADP
bracis-28354	62	27	ro	ro	NOUN
bracis-28354	62	28	,	,	PUNCT
bracis-28354	62	29	such	such	ADJ
bracis-28354	62	30	as	as	ADP
bracis-28354	62	31	neural	neural	ADJ
bracis-28354	62	32	networks	network	NOUN
bracis-28354	62	33	.	.	PUNCT
bracis-28354	63	1	we	we	PRON
bracis-28354	63	2	conducted	conduct	VERB
bracis-28354	63	3	experiments	experiment	NOUN
bracis-28354	63	4	to	to	PART
bracis-28354	63	5	compare	compare	VERB
bracis-28354	63	6	our	our	PRON
bracis-28354	63	7	approach	approach	NOUN
bracis-28354	63	8	against	against	ADP
bracis-28354	63	9	anchors	anchor	NOUN
bracis-28354	63	10	,	,	PUNCT
bracis-28354	63	11	a	a	DET
bracis-28354	63	12	heuristic	heuristic	ADJ
bracis-28354	63	13	method	method	NOUN
bracis-28354	63	14	that	that	PRON
bracis-28354	63	15	generates	generate	VERB
bracis-28354	63	16	explanations	explanation	NOUN
bracis-28354	63	17	by	by	ADP
bracis-28354	63	18	locally	locally	ADV
bracis-28354	63	19	exploring	explore	VERB
bracis-28354	63	20	the	the	DET
bracis-28354	63	21	feature	feature	NOUN
bracis-28354	63	22	subspace	subspace	NOUN
bracis-28354	63	23	close	close	ADV
bracis-28354	63	24	to	to	ADP
bracis-28354	63	25	a	a	DET
bracis-28354	63	26	given	give	VERB
bracis-28354	63	27	instance	instance	NOUN
bracis-28354	63	28	 	 	SPACE
bracis-28354	64	1	[	[	X
bracis-28354	64	2	19	19	NUM
bracis-28354	64	3	]	]	PUNCT
bracis-28354	64	4	,	,	PUNCT
bracis-28354	64	5	through	through	ADP
bracis-28354	64	6	six	six	NUM
bracis-28354	64	7	different	different	ADJ
bracis-28354	64	8	datasets	dataset	NOUN
bracis-28354	64	9	.	.	PUNCT
bracis-28354	65	1	the	the	DET
bracis-28354	65	2	explanations	explanation	NOUN
bracis-28354	65	3	generated	generate	VERB
bracis-28354	65	4	by	by	ADP
bracis-28354	65	5	anchors	anchor	NOUN
bracis-28354	65	6	are	be	AUX
bracis-28354	65	7	expressed	express	VERB
bracis-28354	65	8	as	as	ADP
bracis-28354	65	9	rules	rule	NOUN
bracis-28354	65	10	designed	design	VERB
bracis-28354	65	11	to	to	PART
bracis-28354	65	12	highlight	highlight	VERB
bracis-28354	65	13	important	important	ADJ
bracis-28354	65	14	features	feature	NOUN
bracis-28354	65	15	.	.	PUNCT
bracis-28354	66	1	therefore	therefore	ADV
bracis-28354	66	2	,	,	PUNCT
bracis-28354	66	3	the	the	DET
bracis-28354	66	4	resulting	result	VERB
bracis-28354	66	5	explanations	explanation	NOUN
bracis-28354	66	6	of	of	ADP
bracis-28354	66	7	anchors	anchor	NOUN
bracis-28354	66	8	are	be	AUX
bracis-28354	66	9	similar	similar	ADJ
bracis-28354	66	10	to	to	ADP
bracis-28354	66	11	the	the	DET
bracis-28354	66	12	ones	one	NOUN
bracis-28354	66	13	computed	compute	VERB
bracis-28354	66	14	by	by	ADP
bracis-28354	66	15	our	our	PRON
bracis-28354	66	16	approach	approach	NOUN
bracis-28354	66	17	.	.	PUNCT
bracis-28354	67	1	the	the	DET
bracis-28354	67	2	results	result	NOUN
bracis-28354	67	3	of	of	ADP
bracis-28354	67	4	our	our	PRON
bracis-28354	67	5	experiments	experiment	NOUN
bracis-28354	67	6	show	show	VERB
bracis-28354	67	7	that	that	SCONJ
bracis-28354	67	8	our	our	PRON
bracis-28354	67	9	approach	approach	NOUN
bracis-28354	67	10	is	be	AUX
bracis-28354	67	11	capable	capable	ADJ
bracis-28354	67	12	of	of	ADP
bracis-28354	67	13	generating	generate	VERB
bracis-28354	67	14	succinct	succinct	ADJ
bracis-28354	67	15	explanations	explanation	NOUN
bracis-28354	67	16	up	up	ADP
bracis-28354	67	17	to	to	ADP
bracis-28354	67	18	286	286	NUM
bracis-28354	67	19	times	time	NOUN
bracis-28354	67	20	faster	fast	ADV
bracis-28354	67	21	than	than	ADP
bracis-28354	67	22	anchors	anchor	NOUN
bracis-28354	67	23	,	,	PUNCT
bracis-28354	67	24	in	in	ADP
bracis-28354	67	25	scenarios	scenario	NOUN
bracis-28354	67	26	with	with	ADP
bracis-28354	67	27	and	and	CCONJ
bracis-28354	67	28	without	without	ADP
bracis-28354	67	29	the	the	DET
bracis-28354	67	30	presence	presence	NOUN
bracis-28354	67	31	of	of	ADP
bracis-28354	67	32	reject	reject	NOUN
bracis-28354	67	33	option	option	NOUN
bracis-28354	67	34	.	.	PUNCT
bracis-28354	68	1	2	2	NUM
bracis-28354	68	2	background	background	NOUN
bracis-28354	68	3	2.1	2.1	NUM
bracis-28354	68	4	machine	machine	NOUN
bracis-28354	68	5	learning	learning	NOUN
bracis-28354	68	6	and	and	CCONJ
bracis-28354	68	7	 	 	SPACE
bracis-28354	68	8	binary	binary	ADJ
bracis-28354	68	9	classification	classification	NOUN
bracis-28354	68	10	problems	problem	NOUN
bracis-28354	68	11	in	in	ADP
bracis-28354	68	12	machine	machine	NOUN
bracis-28354	68	13	learning	learning	NOUN
bracis-28354	68	14	,	,	PUNCT
bracis-28354	68	15	binary	binary	ADJ
bracis-28354	68	16	classification	classification	NOUN
bracis-28354	68	17	problems	problem	NOUN
bracis-28354	68	18	are	be	AUX
bracis-28354	68	19	defined	define	VERB
bracis-28354	68	20	over	over	ADP
bracis-28354	68	21	a	a	DET
bracis-28354	68	22	set	set	NOUN
bracis-28354	68	23	of	of	ADP
bracis-28354	68	24	features	feature	NOUN
bracis-28354	68	25	\(\mathcal	\(\mathcal	ADJ
bracis-28354	68	26	{	{	PUNCT
bracis-28354	68	27	f	f	NOUN
bracis-28354	68	28	}	}	PUNCT
bracis-28354	68	29	=	=	SYM
bracis-28354	68	30	\{f_1	\{f_1	NOUN
bracis-28354	68	31	,	,	PUNCT
bracis-28354	68	32	...	...	PUNCT
bracis-28354	68	33	,	,	PUNCT
bracis-28354	68	34	f_n\}\	f_n\}\	NOUN
bracis-28354	68	35	)	)	PUNCT
bracis-28354	68	36	and	and	CCONJ
bracis-28354	68	37	a	a	DET
bracis-28354	68	38	set	set	NOUN
bracis-28354	68	39	of	of	ADP
bracis-28354	68	40	two	two	NUM
bracis-28354	68	41	classes	class	NOUN
bracis-28354	68	42	\(\mathcal	\(\mathcal	ADJ
bracis-28354	68	43	{	{	PUNCT
bracis-28354	68	44	k	k	NOUN
bracis-28354	68	45	}	}	PUNCT
bracis-28354	68	46	=	=	SYM
bracis-28354	68	47	\{-1	\{-1	NOUN
bracis-28354	68	48	,	,	PUNCT
bracis-28354	68	49	+1\}\	+1\}\	PROPN
bracis-28354	68	50	)	)	PUNCT
bracis-28354	68	51	.	.	PUNCT
bracis-28354	69	1	in	in	ADP
bracis-28354	69	2	this	this	DET
bracis-28354	69	3	paper	paper	NOUN
bracis-28354	69	4	,	,	PUNCT
bracis-28354	69	5	we	we	PRON
bracis-28354	69	6	consider	consider	VERB
bracis-28354	69	7	that	that	SCONJ
bracis-28354	69	8	each	each	DET
bracis-28354	69	9	feature	feature	VERB
bracis-28354	69	10	\(f_i	\(f_i	ADJ
bracis-28354	69	11	\in	\in	PROPN
bracis-28354	69	12	\mathcal	\mathcal	PROPN
bracis-28354	69	13	{	{	PUNCT
bracis-28354	69	14	f}\	f}\	NOUN
bracis-28354	69	15	)	)	PUNCT
bracis-28354	69	16	takes	take	VERB
bracis-28354	69	17	its	its	PRON
bracis-28354	69	18	values	value	NOUN
bracis-28354	69	19	\(x_i\	\(x_i\	NOUN
bracis-28354	69	20	)	)	PUNCT
bracis-28354	69	21	from	from	ADP
bracis-28354	69	22	the	the	DET
bracis-28354	69	23	domain	domain	NOUN
bracis-28354	69	24	of	of	ADP
bracis-28354	69	25	real	real	ADJ
bracis-28354	69	26	numbers	number	NOUN
bracis-28354	69	27	.	.	PUNCT
bracis-28354	70	1	moreover	moreover	ADV
bracis-28354	70	2	,	,	PUNCT
bracis-28354	70	3	each	each	DET
bracis-28354	70	4	feature	feature	NOUN
bracis-28354	70	5	\(f_i\	\(f_i\	NOUN
bracis-28354	70	6	)	)	PUNCT
bracis-28354	70	7	has	have	VERB
bracis-28354	70	8	an	an	DET
bracis-28354	70	9	upper	upper	ADJ
bracis-28354	70	10	bound	bind	VERB
bracis-28354	70	11	\(u_i\	\(u_i\	NOUN
bracis-28354	70	12	)	)	PUNCT
bracis-28354	70	13	and	and	CCONJ
bracis-28354	70	14	a	a	DET
bracis-28354	70	15	lower	lower	ADV
bracis-28354	70	16	bound	bind	VERB
bracis-28354	70	17	\(l_i\	\(l_i\	NOUN
bracis-28354	70	18	)	)	PUNCT
bracis-28354	70	19	such	such	ADJ
bracis-28354	70	20	that	that	SCONJ
bracis-28354	70	21	\(l_i	\(l_i	ADJ
bracis-28354	70	22	\le	\le	PROPN
bracis-28354	70	23	x_i	x_i	SYM
bracis-28354	70	24	\le	\le	PROPN
bracis-28354	70	25	u_i\	u_i\	PROPN
bracis-28354	70	26	)	)	PUNCT
bracis-28354	70	27	.	.	PUNCT
bracis-28354	71	1	then	then	ADV
bracis-28354	71	2	,	,	PUNCT
bracis-28354	71	3	each	each	DET
bracis-28354	71	4	feature	feature	NOUN
bracis-28354	71	5	\(f_i\	\(f_i\	NOUN
bracis-28354	71	6	)	)	PUNCT
bracis-28354	71	7	has	have	VERB
bracis-28354	71	8	domain	domain	NOUN
bracis-28354	71	9	\([l_i	\([l_i	NOUN
bracis-28354	71	10	,	,	PUNCT
bracis-28354	71	11	u_i]\	u_i]\	NOUN
bracis-28354	71	12	)	)	PUNCT
bracis-28354	71	13	.	.	PUNCT
bracis-28354	72	1	we	we	PRON
bracis-28354	72	2	represent	represent	VERB
bracis-28354	72	3	this	this	PRON
bracis-28354	72	4	as	as	ADP
bracis-28354	72	5	a	a	DET
bracis-28354	72	6	set	set	NOUN
bracis-28354	72	7	of	of	ADP
bracis-28354	72	8	domain	domain	NOUN
bracis-28354	72	9	constraints	constraint	NOUN
bracis-28354	72	10	\(d	\(d	NOUN
bracis-28354	72	11	=	=	SYM
bracis-28354	72	12	\{l_1	\{l_1	ADP
bracis-28354	72	13	\le	\le	PROPN
bracis-28354	72	14	f_1	f_1	PROPN
bracis-28354	72	15	\le	\le	PROPN
bracis-28354	72	16	u_1	u_1	NOUN
bracis-28354	72	17	,	,	PUNCT
bracis-28354	72	18	l_2	l_2	NOUN
bracis-28354	72	19	\le	\le	NUM
bracis-28354	72	20	f_2	f_2	PROPN
bracis-28354	72	21	\le	\le	PROPN
bracis-28354	72	22	u_2	u_2	PROPN
bracis-28354	72	23	,	,	PUNCT
bracis-28354	72	24	...	...	PUNCT
bracis-28354	72	25	,	,	PUNCT
bracis-28354	72	26	l_n	l_n	PROPN
bracis-28354	72	27	\le	\le	PROPN
bracis-28354	72	28	f_n	f_n	PROPN
bracis-28354	72	29	\le	\le	PROPN
bracis-28354	72	30	u_n	u_n	SYM
bracis-28354	72	31	\}\	\}\	NOUN
bracis-28354	72	32	)	)	PUNCT
bracis-28354	72	33	.	.	PUNCT
bracis-28354	73	1	besides	besides	SCONJ
bracis-28354	73	2	,	,	PUNCT
bracis-28354	73	3	the	the	DET
bracis-28354	73	4	notation	notation	NOUN
bracis-28354	73	5	\(\textbf{x	\(\textbf{x	PROPN
bracis-28354	73	6	}	}	PUNCT
bracis-28354	73	7	=	=	SYM
bracis-28354	73	8	\{f_1	\{f_1	NOUN
bracis-28354	73	9	=	=	SYM
bracis-28354	73	10	x_1	x_1	PROPN
bracis-28354	73	11	,	,	PUNCT
bracis-28354	73	12	f_2	f_2	PROPN
bracis-28354	73	13	=	=	SYM
bracis-28354	73	14	x_2	x_2	PROPN
bracis-28354	73	15	,	,	PUNCT
bracis-28354	73	16	...	...	PUNCT
bracis-28354	73	17	,	,	PUNCT
bracis-28354	73	18	f_n	f_n	X
bracis-28354	73	19	=	=	SYM
bracis-28354	74	1	x_n\}\	x_n\}\	VERB
bracis-28354	74	2	)	)	PUNCT
bracis-28354	74	3	represents	represent	VERB
bracis-28354	74	4	a	a	DET
bracis-28354	74	5	specific	specific	ADJ
bracis-28354	74	6	point	point	NOUN
bracis-28354	74	7	or	or	CCONJ
bracis-28354	74	8	instance	instance	NOUN
bracis-28354	74	9	such	such	ADJ
bracis-28354	74	10	that	that	SCONJ
bracis-28354	74	11	each	each	DET
bracis-28354	74	12	\(x_i\	\(x_i\	NOUN
bracis-28354	74	13	)	)	PUNCT
bracis-28354	74	14	is	be	AUX
bracis-28354	74	15	in	in	ADP
bracis-28354	74	16	the	the	DET
bracis-28354	74	17	domain	domain	NOUN
bracis-28354	74	18	of	of	ADP
bracis-28354	74	19	\(f_i\	\(f_i\	NOUN
bracis-28354	74	20	)	)	PUNCT
bracis-28354	74	21	.	.	PUNCT
bracis-28354	75	1	a	a	DET
bracis-28354	75	2	binary	binary	NOUN
bracis-28354	75	3	classifier	classifier	NOUN
bracis-28354	75	4	\(\mathcal	\(\mathcal	ADJ
bracis-28354	75	5	{	{	PUNCT
bracis-28354	75	6	c}\	c}\	NUM
bracis-28354	75	7	)	)	PUNCT
bracis-28354	75	8	is	be	AUX
bracis-28354	75	9	a	a	DET
bracis-28354	75	10	function	function	NOUN
bracis-28354	75	11	that	that	PRON
bracis-28354	75	12	maps	map	VERB
bracis-28354	75	13	elements	element	NOUN
bracis-28354	75	14	in	in	ADP
bracis-28354	75	15	the	the	DET
bracis-28354	75	16	feature	feature	NOUN
bracis-28354	75	17	space	space	NOUN
bracis-28354	75	18	into	into	ADP
bracis-28354	75	19	the	the	DET
bracis-28354	75	20	set	set	NOUN
bracis-28354	75	21	of	of	ADP
bracis-28354	75	22	classes	class	NOUN
bracis-28354	75	23	\(\mathcal	\(\mathcal	ADJ
bracis-28354	75	24	{	{	PUNCT
bracis-28354	75	25	k}\	k}\	NOUN
bracis-28354	75	26	)	)	PUNCT
bracis-28354	75	27	.	.	PUNCT
bracis-28354	76	1	for	for	ADP
bracis-28354	76	2	example	example	NOUN
bracis-28354	76	3	,	,	PUNCT
bracis-28354	76	4	\(\mathcal	\(\mathcal	ADJ
bracis-28354	76	5	{	{	PUNCT
bracis-28354	76	6	c}\	c}\	NUM
bracis-28354	76	7	)	)	PUNCT
bracis-28354	76	8	can	can	AUX
bracis-28354	76	9	map	map	VERB
bracis-28354	76	10	instance	instance	NOUN
bracis-28354	76	11	\(\{f_1	\(\{f_1	PROPN
bracis-28354	76	12	=	=	SYM
bracis-28354	76	13	x_1	x_1	PROPN
bracis-28354	76	14	,	,	PUNCT
bracis-28354	76	15	f_2	f_2	PROPN
bracis-28354	76	16	=	=	SYM
bracis-28354	76	17	x_2	x_2	PROPN
bracis-28354	76	18	,	,	PUNCT
bracis-28354	76	19	...	...	PUNCT
bracis-28354	76	20	,	,	PUNCT
bracis-28354	76	21	f_n	f_n	X
bracis-28354	76	22	=	=	SYM
bracis-28354	77	1	x_n\}\	x_n\}\	VERB
bracis-28354	77	2	)	)	PUNCT
bracis-28354	77	3	to	to	ADP
bracis-28354	77	4	class	class	NOUN
bracis-28354	77	5	\(+1\	\(+1\	NOUN
bracis-28354	77	6	)	)	PUNCT
bracis-28354	77	7	.	.	PUNCT
bracis-28354	78	1	usually	usually	ADV
bracis-28354	78	2	,	,	PUNCT
bracis-28354	78	3	the	the	DET
bracis-28354	78	4	classifier	classifier	NOUN
bracis-28354	78	5	is	be	AUX
bracis-28354	78	6	obtained	obtain	VERB
bracis-28354	78	7	by	by	ADP
bracis-28354	78	8	a	a	DET
bracis-28354	78	9	training	training	NOUN
bracis-28354	78	10	process	process	NOUN
bracis-28354	78	11	given	give	VERB
bracis-28354	78	12	as	as	ADP
bracis-28354	78	13	input	input	NOUN
bracis-28354	78	14	a	a	DET
bracis-28354	78	15	training	training	NOUN
bracis-28354	78	16	set	set	VERB
bracis-28354	78	17	\(\	\(\	ADP
bracis-28354	78	18	{	{	PUNCT
bracis-28354	78	19	\textbf{x}_i	\textbf{x}_i	X
bracis-28354	78	20	,	,	PUNCT
bracis-28354	78	21	y_i\}^{l}_{i=1}\	y_i\}^{l}_{i=1}\	PROPN
bracis-28354	78	22	)	)	PUNCT
bracis-28354	78	23	,	,	PUNCT
bracis-28354	78	24	where	where	SCONJ
bracis-28354	78	25	\(\textbf{x}_i	\(\textbf{x}_i	PROPN
bracis-28354	78	26	\in	\in	NOUN
bracis-28354	78	27	\mathrm{i\!r}^n\	\mathrm{i\!r}^n\	NOUN
bracis-28354	78	28	)	)	PUNCT
bracis-28354	78	29	is	be	AUX
bracis-28354	78	30	an	an	DET
bracis-28354	78	31	input	input	NOUN
bracis-28354	78	32	vector	vector	NOUN
bracis-28354	78	33	or	or	CCONJ
bracis-28354	78	34	instance	instance	NOUN
bracis-28354	78	35	and	and	CCONJ
bracis-28354	78	36	\(y_i	\(y_i	PUNCT
bracis-28354	78	37	\in	\in	PROPN
bracis-28354	78	38	\{-1	\{-1	PROPN
bracis-28354	78	39	,	,	PUNCT
bracis-28354	78	40	+1\}\	+1\}\	PROPN
bracis-28354	78	41	)	)	PUNCT
bracis-28354	78	42	is	be	AUX
bracis-28354	78	43	the	the	DET
bracis-28354	78	44	respective	respective	ADJ
bracis-28354	78	45	class	class	NOUN
bracis-28354	78	46	label	label	NOUN
bracis-28354	78	47	.	.	PUNCT
bracis-28354	79	1	then	then	ADV
bracis-28354	79	2	,	,	PUNCT
bracis-28354	79	3	for	for	ADP
bracis-28354	79	4	each	each	DET
bracis-28354	79	5	input	input	NOUN
bracis-28354	79	6	vector	vector	NOUN
bracis-28354	79	7	\(\textbf{x}_i\	\(\textbf{x}_i\	PROPN
bracis-28354	79	8	)	)	PUNCT
bracis-28354	79	9	,	,	PUNCT
bracis-28354	79	10	its	its	PRON
bracis-28354	79	11	input	input	NOUN
bracis-28354	79	12	values	value	NOUN
bracis-28354	79	13	\(x_{i	\(x_{i	PROPN
bracis-28354	79	14	,	,	PUNCT
bracis-28354	79	15	1}\	1}\	NUM
bracis-28354	79	16	)	)	PUNCT
bracis-28354	79	17	,	,	PUNCT
bracis-28354	79	18	\(x_{i	\(x_{i	PROPN
bracis-28354	79	19	,	,	PUNCT
bracis-28354	79	20	2}\	2}\	NUM
bracis-28354	79	21	)	)	PUNCT
bracis-28354	79	22	,	,	PUNCT
bracis-28354	79	23	...	...	PUNCT
bracis-28354	79	24	,	,	PUNCT
bracis-28354	79	25	\(x_{i	\(x_{i	PROPN
bracis-28354	79	26	,	,	PUNCT
bracis-28354	79	27	n}\	n}\	NUM
bracis-28354	79	28	)	)	PUNCT
bracis-28354	79	29	are	be	AUX
bracis-28354	79	30	in	in	ADP
bracis-28354	79	31	the	the	DET
bracis-28354	79	32	domain	domain	NOUN
bracis-28354	79	33	of	of	ADP
bracis-28354	79	34	corresponding	correspond	VERB
bracis-28354	79	35	features	feature	NOUN
bracis-28354	79	36	\(f_1\	\(f_1\	PROPN
bracis-28354	79	37	)	)	PUNCT
bracis-28354	79	38	,	,	PUNCT
bracis-28354	79	39	...	...	PUNCT
bracis-28354	79	40	,	,	PUNCT
bracis-28354	79	41	\(f_n\	\(f_n\	ADV
bracis-28354	79	42	)	)	PUNCT
bracis-28354	79	43	.	.	PUNCT
bracis-28354	80	1	a	a	DET
bracis-28354	80	2	well	well	ADV
bracis-28354	80	3	-	-	PUNCT
bracis-28354	80	4	known	know	VERB
bracis-28354	80	5	classifier	classifier	NOUN
bracis-28354	80	6	and	and	CCONJ
bracis-28354	80	7	its	its	PRON
bracis-28354	80	8	training	training	NOUN
bracis-28354	80	9	process	process	NOUN
bracis-28354	80	10	are	be	AUX
bracis-28354	80	11	presented	present	VERB
bracis-28354	80	12	in	in	ADP
bracis-28354	80	13	subsect	subsect	NOUN
bracis-28354	80	14	.	.	PUNCT
bracis-28354	80	15	 	 	SPACE
bracis-28354	81	1	2.2	2.2	NUM
bracis-28354	81	2	.	.	PUNCT
bracis-28354	82	1	2.2	2.2	NUM
bracis-28354	82	2	support	support	NOUN
bracis-28354	82	3	vector	vector	NOUN
bracis-28354	82	4	machine	machine	NOUN
bracis-28354	82	5	the	the	DET
bracis-28354	82	6	svm	svm	PROPN
bracis-28354	82	7	 	 	SPACE
bracis-28354	82	8	[	[	X
bracis-28354	82	9	4	4	NUM
bracis-28354	82	10	]	]	PUNCT
bracis-28354	82	11	is	be	AUX
bracis-28354	82	12	a	a	DET
bracis-28354	82	13	supervised	supervised	ADJ
bracis-28354	82	14	machine	machine	NOUN
bracis-28354	82	15	learning	learning	NOUN
bracis-28354	82	16	model	model	NOUN
bracis-28354	82	17	often	often	ADV
bracis-28354	82	18	used	use	VERB
bracis-28354	82	19	for	for	ADP
bracis-28354	82	20	classification	classification	NOUN
bracis-28354	82	21	problems	problem	NOUN
bracis-28354	82	22	.	.	PUNCT
bracis-28354	83	1	it	it	PRON
bracis-28354	83	2	uses	use	VERB
bracis-28354	83	3	the	the	DET
bracis-28354	83	4	concept	concept	NOUN
bracis-28354	83	5	of	of	ADP
bracis-28354	83	6	an	an	DET
bracis-28354	83	7	optimal	optimal	ADJ
bracis-28354	83	8	separating	separate	VERB
bracis-28354	83	9	hyperplane	hyperplane	NOUN
bracis-28354	83	10	 	 	SPACE
bracis-28354	84	1	[	[	X
bracis-28354	84	2	4	4	X
bracis-28354	84	3	]	]	PUNCT
bracis-28354	84	4	to	to	PART
bracis-28354	84	5	separate	separate	VERB
bracis-28354	84	6	the	the	DET
bracis-28354	84	7	data	datum	NOUN
bracis-28354	84	8	.	.	PUNCT
bracis-28354	85	1	on	on	ADP
bracis-28354	85	2	a	a	DET
bracis-28354	85	3	\(\mathrm{i\!r}^n\	\(\mathrm{i\!r}^n\	NOUN
bracis-28354	85	4	)	)	PUNCT
bracis-28354	85	5	space	space	NOUN
bracis-28354	85	6	,	,	PUNCT
bracis-28354	85	7	such	such	DET
bracis-28354	85	8	a	a	DET
bracis-28354	85	9	hyperplane	hyperplane	NOUN
bracis-28354	85	10	is	be	AUX
bracis-28354	85	11	defined	define	VERB
bracis-28354	85	12	by	by	ADP
bracis-28354	85	13	a	a	DET
bracis-28354	85	14	set	set	NOUN
bracis-28354	85	15	of	of	ADP
bracis-28354	85	16	points	point	NOUN
bracis-28354	85	17	\(\textbf{x}\	\(\textbf{x}\	NOUN
bracis-28354	85	18	)	)	PUNCT
bracis-28354	85	19	that	that	PRON
bracis-28354	85	20	satisfies	satisfy	VERB
bracis-28354	85	21	\(\textbf{w}_o	\(\textbf{w}_o	PROPN
bracis-28354	85	22	\cdot	\cdot	PROPN
bracis-28354	85	23	\textbf{x	\textbf{x	NOUN
bracis-28354	85	24	}	}	PUNCT
bracis-28354	85	25	+	+	NUM
bracis-28354	85	26	b	b	X
bracis-28354	85	27	=	=	SYM
bracis-28354	85	28	0\	0\	PROPN
bracis-28354	85	29	)	)	PUNCT
bracis-28354	85	30	,	,	PUNCT
bracis-28354	85	31	where	where	SCONJ
bracis-28354	85	32	\(\textbf{w}_o	\(\textbf{w}_o	PROPN
bracis-28354	85	33	\in	\in	PROPN
bracis-28354	85	34	\mathrm{i\!r}^n\	\mathrm{i\!r}^n\	NOUN
bracis-28354	85	35	)	)	PUNCT
bracis-28354	85	36	is	be	AUX
bracis-28354	85	37	the	the	DET
bracis-28354	85	38	optimal	optimal	ADJ
bracis-28354	85	39	weight	weight	NOUN
bracis-28354	85	40	vector	vector	NOUN
bracis-28354	85	41	,	,	PUNCT
bracis-28354	85	42	\(\textbf{x	\(\textbf{x	ADJ
bracis-28354	85	43	}	}	PUNCT
bracis-28354	85	44	\in	\in	PROPN
bracis-28354	85	45	\mathrm{i\!r}^n	\mathrm{i\!r}^n	NOUN
bracis-28354	85	46	\	\	NOUN
bracis-28354	85	47	)	)	PUNCT
bracis-28354	86	1	is	be	AUX
bracis-28354	86	2	a	a	DET
bracis-28354	86	3	feature	feature	NOUN
bracis-28354	86	4	vector	vector	NOUN
bracis-28354	86	5	with	with	ADP
bracis-28354	86	6	n	n	PRON
bracis-28354	86	7	features	feature	NOUN
bracis-28354	86	8	and	and	CCONJ
bracis-28354	86	9	an	an	DET
bracis-28354	86	10	intercept	intercept	NOUN
bracis-28354	86	11	(	(	PUNCT
bracis-28354	86	12	bias	bias	NOUN
bracis-28354	86	13	)	)	PUNCT
bracis-28354	86	14	\(b	\(b	PROPN
bracis-28354	86	15	\in	\in	PROPN
bracis-28354	86	16	\mathrm{i\!r}\	\mathrm{i\!r}\	PROPN
bracis-28354	86	17	)	)	PUNCT
bracis-28354	86	18	.	.	PUNCT
bracis-28354	87	1	a	a	DET
bracis-28354	87	2	given	give	VERB
bracis-28354	87	3	training	training	NOUN
bracis-28354	87	4	set	set	VERB
bracis-28354	87	5	\(\	\(\	ADP
bracis-28354	87	6	{	{	PUNCT
bracis-28354	87	7	\textbf{x}_i	\textbf{x}_i	X
bracis-28354	87	8	,	,	PUNCT
bracis-28354	87	9	y_i\}^{k}_{i=1}\	y_i\}^{k}_{i=1}\	PROPN
bracis-28354	87	10	)	)	PUNCT
bracis-28354	87	11	is	be	AUX
bracis-28354	87	12	said	say	VERB
bracis-28354	87	13	to	to	PART
bracis-28354	87	14	be	be	AUX
bracis-28354	87	15	linearly	linearly	ADV
bracis-28354	87	16	separable	separable	ADJ
bracis-28354	87	17	if	if	SCONJ
bracis-28354	87	18	there	there	PRON
bracis-28354	87	19	is	be	VERB
bracis-28354	87	20	\(\textbf{w}_o	\(\textbf{w}_o	PROPN
bracis-28354	87	21	\in	\in	PROPN
bracis-28354	87	22	\mathrm{i\!r}^n\	\mathrm{i\!r}^n\	NOUN
bracis-28354	87	23	)	)	PUNCT
bracis-28354	87	24	and	and	CCONJ
bracis-28354	87	25	\(b	\(b	PROPN
bracis-28354	87	26	\in	\in	PROPN
bracis-28354	87	27	\mathrm{i\!r}\	\mathrm{i\!r}\	PROPN
bracis-28354	87	28	)	)	PUNCT
bracis-28354	87	29	that	that	PRON
bracis-28354	87	30	guarantees	guarantee	VERB
bracis-28354	87	31	the	the	DET
bracis-28354	87	32	separation	separation	NOUN
bracis-28354	87	33	between	between	ADP
bracis-28354	87	34	positive	positive	ADJ
bracis-28354	87	35	and	and	CCONJ
bracis-28354	87	36	negative	negative	ADJ
bracis-28354	87	37	class	class	NOUN
bracis-28354	87	38	instances	instance	NOUN
bracis-28354	87	39	without	without	ADP
bracis-28354	87	40	error	error	NOUN
bracis-28354	87	41	.	.	PUNCT
bracis-28354	88	1	in	in	ADP
bracis-28354	88	2	other	other	ADJ
bracis-28354	88	3	words	word	NOUN
bracis-28354	88	4	,	,	PUNCT
bracis-28354	88	5	the	the	DET
bracis-28354	88	6	following	follow	VERB
bracis-28354	88	7	inequalities	inequality	NOUN
bracis-28354	88	8	$	$	SYM
bracis-28354	88	9	$	$	SYM
bracis-28354	88	10	\begin{aligned	\begin{aligne	VERB
bracis-28354	88	11	}	}	PUNCT
bracis-28354	88	12	\text	\text	ADV
bracis-28354	88	13	{	{	PUNCT
bracis-28354	88	14	for	for	ADP
bracis-28354	88	15	}	}	PUNCT
bracis-28354	88	16	i	i	PROPN
bracis-28354	88	17	\in	\in	PROPN
bracis-28354	88	18	\{1	\{1	PROPN
bracis-28354	88	19	,	,	PUNCT
bracis-28354	88	20	...	...	PUNCT
bracis-28354	88	21	,	,	PUNCT
bracis-28354	88	22	k\	k\	PROPN
bracis-28354	88	23	}	}	PUNCT
bracis-28354	88	24	,	,	PUNCT
bracis-28354	88	25	{	{	PUNCT
bracis-28354	88	26	\left\	\left\	PROPN
bracis-28354	88	27	{	{	PUNCT
bracis-28354	88	28	\begin{array}{ll	\begin{array}{ll	PROPN
bracis-28354	88	29	}	}	PUNCT
bracis-28354	88	30	\textbf{w}_o	\textbf{w}_o	NOUN
bracis-28354	88	31	\cdot	\cdot	NOUN
bracis-28354	88	32	\textbf{x}_i	\textbf{x}_i	NOUN
bracis-28354	88	33	+	+	CCONJ
bracis-28354	88	34	b	b	X
bracis-28354	88	35	\ge	\ge	PROPN
bracis-28354	88	36	+1,\quad	+1,\quad	NOUN
bracis-28354	88	37	&	&	CCONJ
bracis-28354	88	38	{	{	PUNCT
bracis-28354	88	39	}	}	PUNCT
bracis-28354	88	40	\text	\text	ADV
bracis-28354	88	41	{	{	PUNCT
bracis-28354	88	42	if	if	SCONJ
bracis-28354	88	43	}	}	PUNCT
bracis-28354	88	44	y_i	y_i	X
bracis-28354	88	45	=	=	PUNCT
bracis-28354	88	46	+1,\\	+1,\\	PART
bracis-28354	88	47	\textbf{w}_o	\textbf{w}_o	NOUN
bracis-28354	88	48	\cdot	\cdot	NOUN
bracis-28354	88	49	\textbf{x}_i	\textbf{x}_i	NOUN
bracis-28354	88	50	+	+	CCONJ
bracis-28354	89	1	b	b	X
bracis-28354	89	2	\le	\le	PROPN
bracis-28354	89	3	-1,\quad	-1,\quad	NOUN
bracis-28354	89	4	&	&	CCONJ
bracis-28354	89	5	{	{	PUNCT
bracis-28354	89	6	}	}	PUNCT
bracis-28354	89	7	\text	\text	ADV
bracis-28354	89	8	{	{	PUNCT
bracis-28354	89	9	if	if	SCONJ
bracis-28354	89	10	}	}	PUNCT
bracis-28354	89	11	y_i	y_i	PROPN
bracis-28354	89	12	=	=	SYM
bracis-28354	89	13	-1	-1	PROPN
bracis-28354	89	14	,	,	PUNCT
bracis-28354	89	15	\end{array}\right	\end{array}\right	PROPN
bracis-28354	89	16	.	.	PUNCT
bracis-28354	89	17	}	}	PUNCT
bracis-28354	89	18	\end{aligned}$$	\end{aligned}$$	X
bracis-28354	89	19	(	(	PUNCT
bracis-28354	89	20	1	1	X
bracis-28354	89	21	)	)	PUNCT
bracis-28354	89	22	must	must	AUX
bracis-28354	89	23	be	be	AUX
bracis-28354	89	24	satisfied	satisfied	ADJ
bracis-28354	89	25	to	to	PART
bracis-28354	89	26	obtain	obtain	VERB
bracis-28354	89	27	the	the	DET
bracis-28354	89	28	optimal	optimal	ADJ
bracis-28354	89	29	hyperplane	hyperplane	NOUN
bracis-28354	89	30	\(h_o	\(h_o	NOUN
bracis-28354	89	31	=	=	SYM
bracis-28354	89	32	\	\	PROPN
bracis-28354	89	33	{	{	PUNCT
bracis-28354	89	34	\textbf{x	\textbf{x	NOUN
bracis-28354	89	35	}	}	PUNCT
bracis-28354	89	36	\mid	\mid	ADP
bracis-28354	89	37	\textbf{w}_o	\textbf{w}_o	NOUN
bracis-28354	89	38	\cdot	\cdot	NOUN
bracis-28354	89	39	\textbf{x	\textbf{x	NOUN
bracis-28354	89	40	}	}	PUNCT
bracis-28354	89	41	+	+	NUM
bracis-28354	89	42	b	b	X
bracis-28354	89	43	=	=	SYM
bracis-28354	89	44	0\}\	0\}\	NUM
bracis-28354	89	45	)	)	PUNCT
bracis-28354	89	46	.	.	PUNCT
bracis-28354	90	1	a	a	DET
bracis-28354	90	2	hard	hard	ADJ
bracis-28354	90	3	margin	margin	NOUN
bracis-28354	90	4	svm	svm	NOUN
bracis-28354	90	5	(	(	PUNCT
bracis-28354	90	6	svm	svm	PROPN
bracis-28354	90	7	-	-	ADJ
bracis-28354	90	8	hm	hm	NOUN
bracis-28354	90	9	)	)	PUNCT
bracis-28354	90	10	 	 	SPACE
bracis-28354	91	1	[	[	X
bracis-28354	91	2	21	21	NUM
bracis-28354	91	3	]	]	X
bracis-28354	91	4	can	can	AUX
bracis-28354	91	5	be	be	AUX
bracis-28354	91	6	used	use	VERB
bracis-28354	91	7	when	when	SCONJ
bracis-28354	91	8	the	the	DET
bracis-28354	91	9	data	data	NOUN
bracis-28354	91	10	is	be	AUX
bracis-28354	91	11	linearly	linearly	ADV
bracis-28354	91	12	separable	separable	ADJ
bracis-28354	91	13	and	and	CCONJ
bracis-28354	91	14	misclassifications	misclassification	NOUN
bracis-28354	91	15	are	be	AUX
bracis-28354	91	16	not	not	PART
bracis-28354	91	17	allowed	allow	VERB
bracis-28354	91	18	,	,	PUNCT
bracis-28354	91	19	maximizing	maximize	VERB
bracis-28354	91	20	the	the	DET
bracis-28354	91	21	margin	margin	NOUN
bracis-28354	91	22	between	between	ADP
bracis-28354	91	23	two	two	NUM
bracis-28354	91	24	hyperplanes	hyperplane	NOUN
bracis-28354	91	25	,	,	PUNCT
bracis-28354	91	26	\(h_+\	\(h_+\	NUM
bracis-28354	91	27	)	)	PUNCT
bracis-28354	91	28	and	and	CCONJ
bracis-28354	91	29	\(h_-\	\(h_-\	PROPN
bracis-28354	91	30	)	)	PUNCT
bracis-28354	91	31	,	,	PUNCT
bracis-28354	91	32	parallel	parallel	ADJ
bracis-28354	91	33	to	to	ADP
bracis-28354	91	34	\(h_o\	\(h_o\	NOUN
bracis-28354	91	35	)	)	PUNCT
bracis-28354	91	36	.	.	PUNCT
bracis-28354	92	1	there	there	PRON
bracis-28354	92	2	can	can	AUX
bracis-28354	92	3	be	be	AUX
bracis-28354	92	4	no	no	DET
bracis-28354	92	5	training	training	NOUN
bracis-28354	92	6	instances	instance	NOUN
bracis-28354	92	7	between	between	ADP
bracis-28354	92	8	\(h_+\	\(h_+\	PROPN
bracis-28354	92	9	)	)	PUNCT
bracis-28354	92	10	and	and	CCONJ
bracis-28354	92	11	\(h_-\	\(h_-\	PROPN
bracis-28354	92	12	)	)	PUNCT
bracis-28354	92	13	.	.	PUNCT
bracis-28354	93	1	once	once	ADV
bracis-28354	93	2	maximizing	maximize	VERB
bracis-28354	93	3	the	the	DET
bracis-28354	93	4	margin	margin	NOUN
bracis-28354	93	5	is	be	AUX
bracis-28354	93	6	similar	similar	ADJ
bracis-28354	93	7	to	to	ADP
bracis-28354	93	8	minimizing	minimize	VERB
bracis-28354	93	9	\(\frac{1}{2}||\textbf{w}||^2\	\(\frac{1}{2}||\textbf{w}||^2\	NOUN
bracis-28354	93	10	)	)	PUNCT
bracis-28354	93	11	,	,	PUNCT
bracis-28354	93	12	the	the	DET
bracis-28354	93	13	optimization	optimization	NOUN
bracis-28354	93	14	problem	problem	NOUN
bracis-28354	93	15	for	for	ADP
bracis-28354	93	16	obtaining	obtain	VERB
bracis-28354	93	17	the	the	DET
bracis-28354	93	18	optimal	optimal	ADJ
bracis-28354	93	19	parameters	parameter	NOUN
bracis-28354	93	20	for	for	ADP
bracis-28354	93	21	the	the	DET
bracis-28354	93	22	svm	svm	NOUN
bracis-28354	93	23	can	can	AUX
bracis-28354	93	24	be	be	AUX
bracis-28354	93	25	described	describe	VERB
bracis-28354	93	26	as	as	SCONJ
bracis-28354	93	27	follows	follow	VERB
bracis-28354	93	28	:	:	PUNCT
bracis-28354	93	29	$	$	SYM
bracis-28354	93	30	$	$	SYM
bracis-28354	93	31	\begin{aligned	\begin{aligne	VERB
bracis-28354	93	32	}	}	PUNCT
bracis-28354	93	33	\begin{aligned	\begin{aligne	VERB
bracis-28354	93	34	}	}	PUNCT
bracis-28354	93	35	\min	\min	NOUN
bracis-28354	93	36	_	_	PROPN
bracis-28354	93	37	{	{	PUNCT
bracis-28354	93	38	\textbf{w},b	\textbf{w},b	PROPN
bracis-28354	93	39	}	}	PUNCT
bracis-28354	93	40	&	&	CCONJ
bracis-28354	93	41	\quad	\quad	PROPN
bracis-28354	93	42	{	{	PUNCT
bracis-28354	93	43	\frac{1}{2}||\textbf{w}||^2	\frac{1}{2}||\textbf{w}||^2	NOUN
bracis-28354	93	44	}	}	PUNCT
bracis-28354	93	45	\\	\\	NOUN
bracis-28354	93	46	\text	\text	NOUN
bracis-28354	93	47	{	{	PUNCT
bracis-28354	93	48	s.t	s.t	PROPN
bracis-28354	93	49	.	.	PROPN
bracis-28354	93	50	}	}	PUNCT
bracis-28354	93	51	&	&	CCONJ
bracis-28354	93	52	\quad	\quad	PROPN
bracis-28354	93	53	y_i(\textbf{w	y_i(\textbf{w	NOUN
bracis-28354	93	54	}	}	PUNCT
bracis-28354	93	55	\cdot	\cdot	NOUN
bracis-28354	93	56	\textbf{x}_i	\textbf{x}_i	NOUN
bracis-28354	93	57	+	+	CCONJ
bracis-28354	93	58	b	b	X
bracis-28354	93	59	)	)	PUNCT
bracis-28354	93	60	\ge	\ge	PROPN
bracis-28354	93	61	1,\quad	1,\quad	NUM
bracis-28354	93	62	\text	\text	NOUN
bracis-28354	93	63	{	{	PUNCT
bracis-28354	93	64	for	for	ADP
bracis-28354	93	65	}	}	PUNCT
bracis-28354	93	66	i	i	PROPN
bracis-28354	93	67	\in	\in	PROPN
bracis-28354	93	68	\	\	PROPN
bracis-28354	93	69	{	{	PUNCT
bracis-28354	93	70	1,	1,	NUM
bracis-28354	93	71	...	...	PUNCT
bracis-28354	93	72	,k\	,k\	PUNCT
bracis-28354	93	73	}	}	PUNCT
bracis-28354	93	74	.	.	PUNCT
bracis-28354	94	1	\end{aligned	\end{aligne	VERB
bracis-28354	94	2	}	}	PUNCT
bracis-28354	94	3	\end{aligned}$$	\end{aligned}$$	X
bracis-28354	94	4	(	(	PUNCT
bracis-28354	94	5	2	2	NUM
bracis-28354	94	6	)	)	PUNCT
bracis-28354	94	7	thus	thus	ADV
bracis-28354	94	8	,	,	PUNCT
bracis-28354	94	9	the	the	DET
bracis-28354	94	10	decision	decision	NOUN
bracis-28354	94	11	function	function	NOUN
bracis-28354	94	12	used	use	VERB
bracis-28354	94	13	for	for	ADP
bracis-28354	94	14	classifying	classify	VERB
bracis-28354	94	15	input	input	NOUN
bracis-28354	94	16	instances	instance	NOUN
bracis-28354	94	17	\(\textbf{x}\	\(\textbf{x}\	NOUN
bracis-28354	94	18	)	)	PUNCT
bracis-28354	94	19	is	be	AUX
bracis-28354	94	20	defined	define	VERB
bracis-28354	94	21	as	as	ADP
bracis-28354	94	22	\(d(\textbf{x	\(d(\textbf{x	NOUN
bracis-28354	94	23	}	}	PUNCT
bracis-28354	94	24	)	)	PUNCT
bracis-28354	94	25	=	=	SYM
bracis-28354	94	26	\textbf{w	\textbf{w	PROPN
bracis-28354	94	27	}	}	PUNCT
bracis-28354	94	28	\cdot	\cdot	NOUN
bracis-28354	94	29	\textbf{x	\textbf{x	NOUN
bracis-28354	94	30	}	}	PUNCT
bracis-28354	94	31	+	+	CCONJ
bracis-28354	94	32	b\	b\	NOUN
bracis-28354	94	33	)	)	PUNCT
bracis-28354	94	34	,	,	PUNCT
bracis-28354	94	35	while	while	SCONJ
bracis-28354	94	36	the	the	DET
bracis-28354	94	37	predicted	predict	VERB
bracis-28354	94	38	label	label	NOUN
bracis-28354	94	39	\(\hat{y	\(\hat{y	NOUN
bracis-28354	94	40	}	}	PUNCT
bracis-28354	94	41	\in	\in	PROPN
bracis-28354	94	42	\mathcal	\mathcal	PROPN
bracis-28354	94	43	{	{	PUNCT
bracis-28354	94	44	k}\	k}\	NOUN
bracis-28354	94	45	)	)	PUNCT
bracis-28354	94	46	of	of	ADP
bracis-28354	94	47	an	an	DET
bracis-28354	94	48	input	input	NOUN
bracis-28354	94	49	\(\textbf{x}\	\(\textbf{x}\	NOUN
bracis-28354	94	50	)	)	PUNCT
bracis-28354	94	51	is	be	AUX
bracis-28354	94	52	given	give	VERB
bracis-28354	94	53	by	by	ADP
bracis-28354	94	54	$	$	SYM
bracis-28354	94	55	$	$	SYM
bracis-28354	94	56	\begin{aligned	\begin{aligne	VERB
bracis-28354	94	57	}	}	PUNCT
bracis-28354	94	58	\hat{y}=	\hat{y}=	PROPN
bracis-28354	94	59	{	{	PUNCT
bracis-28354	94	60	\left\	\left\	PROPN
bracis-28354	94	61	{	{	PUNCT
bracis-28354	94	62	\begin{array}{ll	\begin{array}{ll	PROPN
bracis-28354	94	63	}	}	PUNCT
bracis-28354	94	64	+1	+1	PROPN
bracis-28354	94	65	,	,	PUNCT
bracis-28354	94	66	\quad	\quad	PROPN
bracis-28354	94	67	\text	\text	PROPN
bracis-28354	94	68	{	{	PUNCT
bracis-28354	94	69	if	if	SCONJ
bracis-28354	94	70	}	}	PUNCT
bracis-28354	94	71	d(\textbf{x	d(\textbf{x	ADJ
bracis-28354	94	72	}	}	PUNCT
bracis-28354	94	73	)	)	PUNCT
bracis-28354	95	1	\ge	\ge	PROPN
bracis-28354	95	2	0,\\	0,\\	NOUN
bracis-28354	95	3	-1	-1	PUNCT
bracis-28354	95	4	,	,	PUNCT
bracis-28354	95	5	\quad	\quad	PROPN
bracis-28354	95	6	\text	\text	PROPN
bracis-28354	95	7	{	{	PUNCT
bracis-28354	95	8	if	if	SCONJ
bracis-28354	95	9	}	}	PUNCT
bracis-28354	95	10	d(\textbf{x	d(\textbf{x	ADJ
bracis-28354	95	11	}	}	PUNCT
bracis-28354	95	12	)	)	PUNCT
bracis-28354	95	13	<	<	X
bracis-28354	95	14	0	0	X
bracis-28354	95	15	.	.	PUNCT
bracis-28354	96	1	\end{array}\right	\end{array}\right	PROPN
bracis-28354	96	2	.	.	PUNCT
bracis-28354	96	3	}	}	PUNCT
bracis-28354	97	1	\end{aligned}$$	\end{aligned}$$	X
bracis-28354	97	2	(	(	PUNCT
bracis-28354	97	3	3	3	NUM
bracis-28354	97	4	)	)	PUNCT
bracis-28354	97	5	however	however	ADV
bracis-28354	97	6	,	,	PUNCT
bracis-28354	97	7	in	in	ADP
bracis-28354	97	8	real	real	ADJ
bracis-28354	97	9	-	-	PUNCT
bracis-28354	97	10	world	world	NOUN
bracis-28354	97	11	problems	problem	NOUN
bracis-28354	97	12	,	,	PUNCT
bracis-28354	97	13	the	the	DET
bracis-28354	97	14	training	training	NOUN
bracis-28354	97	15	instances	instance	NOUN
bracis-28354	97	16	from	from	ADP
bracis-28354	97	17	the	the	DET
bracis-28354	97	18	two	two	NUM
bracis-28354	97	19	classes	class	NOUN
bracis-28354	97	20	can	can	AUX
bracis-28354	97	21	not	not	PART
bracis-28354	97	22	be	be	AUX
bracis-28354	97	23	linearly	linearly	ADV
bracis-28354	97	24	separated	separate	VERB
bracis-28354	97	25	by	by	ADP
bracis-28354	97	26	a	a	DET
bracis-28354	97	27	hyperplane	hyperplane	NOUN
bracis-28354	97	28	due	due	ADP
bracis-28354	97	29	to	to	ADP
bracis-28354	97	30	data	datum	NOUN
bracis-28354	97	31	overlapping	overlap	VERB
bracis-28354	97	32	.	.	PUNCT
bracis-28354	98	1	in	in	ADP
bracis-28354	98	2	order	order	NOUN
bracis-28354	98	3	to	to	PART
bracis-28354	98	4	overcome	overcome	VERB
bracis-28354	98	5	this	this	DET
bracis-28354	98	6	situation	situation	NOUN
bracis-28354	98	7	,	,	PUNCT
bracis-28354	98	8	one	one	PRON
bracis-28354	98	9	must	must	AUX
bracis-28354	98	10	use	use	VERB
bracis-28354	98	11	soft	soft	ADJ
bracis-28354	98	12	-	-	PUNCT
bracis-28354	98	13	margin	margin	NOUN
bracis-28354	98	14	svms	svms	NOUN
bracis-28354	98	15	(	(	PUNCT
bracis-28354	98	16	svm	svm	PROPN
bracis-28354	98	17	-	-	PUNCT
bracis-28354	98	18	sm	sm	NOUN
bracis-28354	98	19	)	)	PUNCT
bracis-28354	98	20	in	in	ADP
bracis-28354	98	21	which	which	PRON
bracis-28354	98	22	misclassifications	misclassification	NOUN
bracis-28354	98	23	are	be	AUX
bracis-28354	98	24	allowed	allow	VERB
bracis-28354	98	25	to	to	PART
bracis-28354	98	26	happen	happen	VERB
bracis-28354	98	27	.	.	PUNCT
bracis-28354	99	1	to	to	PART
bracis-28354	99	2	do	do	VERB
bracis-28354	99	3	so	so	ADV
bracis-28354	99	4	,	,	PUNCT
bracis-28354	99	5	slack	slack	VERB
bracis-28354	99	6	variables	variable	NOUN
bracis-28354	99	7	can	can	AUX
bracis-28354	99	8	be	be	AUX
bracis-28354	99	9	used	use	VERB
bracis-28354	99	10	to	to	PART
bracis-28354	99	11	relax	relax	VERB
bracis-28354	99	12	the	the	DET
bracis-28354	99	13	constraints	constraint	NOUN
bracis-28354	99	14	of	of	ADP
bracis-28354	99	15	the	the	DET
bracis-28354	99	16	svm	svm	PROPN
bracis-28354	99	17	-	-	PROPN
bracis-28354	99	18	hm	hm	INTJ
bracis-28354	99	19	 	 	SPACE
bracis-28354	99	20	[	[	X
bracis-28354	99	21	4	4	NUM
bracis-28354	99	22	,	,	PUNCT
bracis-28354	99	23	21	21	NUM
bracis-28354	99	24	]	]	PUNCT
bracis-28354	99	25	.	.	PUNCT
bracis-28354	100	1	given	give	VERB
bracis-28354	100	2	this	this	PRON
bracis-28354	100	3	,	,	PUNCT
bracis-28354	100	4	the	the	DET
bracis-28354	100	5	optimization	optimization	NOUN
bracis-28354	100	6	problem	problem	NOUN
bracis-28354	100	7	for	for	ADP
bracis-28354	100	8	soft	soft	ADJ
bracis-28354	100	9	-	-	PUNCT
bracis-28354	100	10	margin	margin	NOUN
bracis-28354	100	11	svms	svms	NOUN
bracis-28354	100	12	is	be	AUX
bracis-28354	100	13	described	describe	VERB
bracis-28354	100	14	as	as	ADP
bracis-28354	100	15	$	$	SYM
bracis-28354	100	16	$	$	SYM
bracis-28354	100	17	\begin{aligned	\begin{aligne	VERB
bracis-28354	100	18	}	}	PUNCT
bracis-28354	100	19	\begin{aligned	\begin{aligne	VERB
bracis-28354	100	20	}	}	PUNCT
bracis-28354	100	21	\min	\min	NOUN
bracis-28354	100	22	_	_	PUNCT
bracis-28354	100	23	{	{	PUNCT
bracis-28354	100	24	\textbf{w},b,\mathbf	\textbf{w},b,\mathbf	NOUN
bracis-28354	100	25	{	{	PUNCT
bracis-28354	100	26	\xi	\xi	PROPN
bracis-28354	100	27	}	}	PUNCT
bracis-28354	100	28	}	}	PUNCT
bracis-28354	100	29	&	&	CCONJ
bracis-28354	100	30	\quad	\quad	PROPN
bracis-28354	100	31	\frac{1}{2}||\textbf{w}||^2	\frac{1}{2}||\textbf{w}||^2	PROPN
bracis-28354	100	32	c\sum	c\sum	NOUN
bracis-28354	100	33	^{k}_{i=1}\xi	^{k}_{i=1}\xi	PUNCT
bracis-28354	100	34	_	_	PUNCT
bracis-28354	100	35	i	i	PRON
bracis-28354	100	36	\\	\\	NOUN
bracis-28354	100	37	\text	\text	VERB
bracis-28354	100	38	{	{	PUNCT
bracis-28354	100	39	s.t	s.t	PROPN
bracis-28354	100	40	.	.	PROPN
bracis-28354	100	41	}	}	PUNCT
bracis-28354	100	42	&	&	CCONJ
bracis-28354	100	43	\quad	\quad	PROPN
bracis-28354	100	44	y_i(\textbf{w	y_i(\textbf{w	NOUN
bracis-28354	100	45	}	}	PUNCT
bracis-28354	100	46	\cdot	\cdot	NOUN
bracis-28354	100	47	\textbf{x}_i	\textbf{x}_i	NOUN
bracis-28354	100	48	+	+	CCONJ
bracis-28354	100	49	b	b	X
bracis-28354	100	50	)	)	PUNCT
bracis-28354	100	51	\ge	\ge	PROPN
bracis-28354	100	52	1	1	NUM
bracis-28354	100	53	\xi	\xi	PROPN
bracis-28354	100	54	_	_	PUNCT
bracis-28354	100	55	i,\quad	i,\quad	PROPN
bracis-28354	100	56	&	&	CCONJ
bracis-28354	100	57	\text	\text	PROPN
bracis-28354	100	58	{	{	PUNCT
bracis-28354	100	59	for	for	ADP
bracis-28354	100	60	}	}	PUNCT
bracis-28354	100	61	i	i	PRON
bracis-28354	100	62	\in	\in	PROPN
bracis-28354	100	63	\{1,	\{1,	ADV
bracis-28354	100	64	...	...	PUNCT
bracis-28354	100	65	,k\}\\	,k\}\\	NOUN
bracis-28354	100	66	&	&	CCONJ
bracis-28354	100	67	\quad	\quad	X
bracis-28354	100	68	\xi	\xi	PROPN
bracis-28354	101	1	_	_	PUNCT
bracis-28354	101	2	i	i	PRON
bracis-28354	101	3	\ge	\ge	VERB
bracis-28354	101	4	0,\quad	0,\quad	NOUN
bracis-28354	101	5	&	&	CCONJ
bracis-28354	101	6	\text	\text	PROPN
bracis-28354	101	7	{	{	PUNCT
bracis-28354	101	8	for	for	ADP
bracis-28354	101	9	}	}	PUNCT
bracis-28354	101	10	i	i	PRON
bracis-28354	101	11	\in	\in	PROPN
bracis-28354	101	12	\{1,	\{1,	ADV
bracis-28354	101	13	...	...	PUNCT
bracis-28354	101	14	,k\	,k\	PUNCT
bracis-28354	101	15	}	}	PUNCT
bracis-28354	101	16	\end{aligned	\end{aligne	VERB
bracis-28354	101	17	}	}	PUNCT
bracis-28354	101	18	\end{aligned}$$	\end{aligned}$$	X
bracis-28354	101	19	(	(	PUNCT
bracis-28354	101	20	4	4	NUM
bracis-28354	101	21	)	)	PUNCT
bracis-28354	101	22	where	where	SCONJ
bracis-28354	101	23	c	c	NOUN
bracis-28354	101	24	is	be	AUX
bracis-28354	101	25	a	a	DET
bracis-28354	101	26	trade	trade	NOUN
bracis-28354	101	27	-	-	PUNCT
bracis-28354	101	28	off	off	NOUN
bracis-28354	101	29	between	between	ADP
bracis-28354	101	30	\(\frac{1}{2}||\textbf{w}||^2\	\(\frac{1}{2}||\textbf{w}||^2\	NOUN
bracis-28354	101	31	)	)	PUNCT
bracis-28354	101	32	and	and	CCONJ
bracis-28354	101	33	\(\sum	\(\sum	VERB
bracis-28354	101	34	_	_	PRON
bracis-28354	101	35	{	{	PUNCT
bracis-28354	101	36	i}^n	i}^n	NOUN
bracis-28354	101	37	\xi	\xi	X
bracis-28354	101	38	_	_	PUNCT
bracis-28354	101	39	i\	i\	NOUN
bracis-28354	101	40	)	)	PUNCT
bracis-28354	101	41	.	.	PUNCT
bracis-28354	102	1	thus	thus	ADV
bracis-28354	102	2	,	,	PUNCT
bracis-28354	102	3	for	for	ADP
bracis-28354	102	4	a	a	DET
bracis-28354	102	5	high	high	ADJ
bracis-28354	102	6	enough	enough	ADJ
bracis-28354	102	7	value	value	NOUN
bracis-28354	102	8	of	of	ADP
bracis-28354	102	9	c	c	NOUN
bracis-28354	102	10	,	,	PUNCT
bracis-28354	102	11	minimizing	minimize	VERB
bracis-28354	102	12	the	the	DET
bracis-28354	102	13	sum	sum	NOUN
bracis-28354	102	14	of	of	ADP
bracis-28354	102	15	errors	error	NOUN
bracis-28354	102	16	while	while	SCONJ
bracis-28354	102	17	maximizing	maximize	VERB
bracis-28354	102	18	the	the	DET
bracis-28354	102	19	separation	separation	NOUN
bracis-28354	102	20	margin	margin	NOUN
bracis-28354	102	21	leads	lead	VERB
bracis-28354	102	22	toward	toward	ADP
bracis-28354	102	23	the	the	DET
bracis-28354	102	24	optimal	optimal	ADJ
bracis-28354	102	25	hyperplane	hyperplane	NOUN
bracis-28354	102	26	.	.	PUNCT
bracis-28354	103	1	this	this	PRON
bracis-28354	103	2	can	can	AUX
bracis-28354	103	3	be	be	AUX
bracis-28354	103	4	the	the	DET
bracis-28354	103	5	same	same	ADJ
bracis-28354	103	6	as	as	ADP
bracis-28354	103	7	the	the	DET
bracis-28354	103	8	one	one	NOUN
bracis-28354	103	9	found	find	VERB
bracis-28354	103	10	through	through	ADP
bracis-28354	103	11	svm	svm	PROPN
bracis-28354	103	12	-	-	PROPN
bracis-28354	103	13	hm	hm	INTJ
bracis-28354	103	14	if	if	SCONJ
bracis-28354	103	15	the	the	DET
bracis-28354	103	16	data	data	NOUN
bracis-28354	103	17	is	be	AUX
bracis-28354	103	18	linearly	linearly	ADV
bracis-28354	103	19	separable	separable	ADJ
bracis-28354	103	20	.	.	PUNCT
bracis-28354	104	1	moreover	moreover	ADV
bracis-28354	104	2	,	,	PUNCT
bracis-28354	104	3	the	the	DET
bracis-28354	104	4	decision	decision	NOUN
bracis-28354	104	5	function	function	NOUN
bracis-28354	104	6	and	and	CCONJ
bracis-28354	104	7	predicted	predict	VERB
bracis-28354	104	8	label	label	NOUN
bracis-28354	104	9	for	for	ADP
bracis-28354	104	10	svm	svm	ADJ
bracis-28354	104	11	-	-	ADJ
bracis-28354	104	12	hm	hm	ADJ
bracis-28354	104	13	and	and	CCONJ
bracis-28354	104	14	svm	svm	ADJ
bracis-28354	104	15	-	-	ADJ
bracis-28354	104	16	sm	sm	NOUN
bracis-28354	104	17	are	be	AUX
bracis-28354	104	18	the	the	DET
bracis-28354	104	19	same	same	ADJ
bracis-28354	104	20	.	.	PUNCT
bracis-28354	105	1	2.3	2.3	NUM
bracis-28354	105	2	reject	reject	NOUN
bracis-28354	105	3	option	option	NOUN
bracis-28354	105	4	classification	classification	NOUN
bracis-28354	105	5	reject	reject	NOUN
bracis-28354	105	6	option	option	NOUN
bracis-28354	105	7	for	for	ADP
bracis-28354	105	8	classification	classification	NOUN
bracis-28354	105	9	problems	problem	NOUN
bracis-28354	105	10	,	,	PUNCT
bracis-28354	105	11	as	as	SCONJ
bracis-28354	105	12	depicted	depict	VERB
bracis-28354	105	13	in	in	ADP
bracis-28354	105	14	 	 	SPACE
bracis-28354	105	15	[	[	X
bracis-28354	105	16	3	3	NUM
bracis-28354	105	17	]	]	PUNCT
bracis-28354	105	18	,	,	PUNCT
bracis-28354	105	19	is	be	AUX
bracis-28354	105	20	a	a	DET
bracis-28354	105	21	set	set	NOUN
bracis-28354	105	22	of	of	ADP
bracis-28354	105	23	techniques	technique	NOUN
bracis-28354	105	24	that	that	PRON
bracis-28354	105	25	aim	aim	VERB
bracis-28354	105	26	to	to	PART
bracis-28354	105	27	improve	improve	VERB
bracis-28354	105	28	reliability	reliability	NOUN
bracis-28354	105	29	in	in	ADP
bracis-28354	105	30	decision	decision	NOUN
bracis-28354	105	31	support	support	NOUN
bracis-28354	105	32	systems	system	NOUN
bracis-28354	105	33	.	.	PUNCT
bracis-28354	106	1	in	in	ADP
bracis-28354	106	2	the	the	DET
bracis-28354	106	3	case	case	NOUN
bracis-28354	106	4	of	of	ADP
bracis-28354	106	5	a	a	DET
bracis-28354	106	6	binary	binary	ADJ
bracis-28354	106	7	problem	problem	NOUN
bracis-28354	106	8	,	,	PUNCT
bracis-28354	106	9	it	it	PRON
bracis-28354	106	10	consists	consist	VERB
bracis-28354	106	11	in	in	ADP
bracis-28354	106	12	withholding	withhold	VERB
bracis-28354	106	13	and	and	CCONJ
bracis-28354	106	14	rejecting	reject	VERB
bracis-28354	106	15	a	a	DET
bracis-28354	106	16	classification	classification	NOUN
bracis-28354	106	17	result	result	NOUN
bracis-28354	106	18	that	that	PRON
bracis-28354	106	19	is	be	AUX
bracis-28354	106	20	ambiguous	ambiguous	ADJ
bracis-28354	106	21	enough	enough	ADV
bracis-28354	106	22	,	,	PUNCT
bracis-28354	106	23	i.e.	i.e.	X
bracis-28354	106	24	when	when	SCONJ
bracis-28354	106	25	the	the	DET
bracis-28354	106	26	instance	instance	NOUN
bracis-28354	106	27	is	be	AUX
bracis-28354	106	28	too	too	ADV
bracis-28354	106	29	close	close	ADJ
bracis-28354	106	30	to	to	ADP
bracis-28354	106	31	the	the	DET
bracis-28354	106	32	decision	decision	NOUN
bracis-28354	106	33	boundary	boundary	NOUN
bracis-28354	106	34	of	of	ADP
bracis-28354	106	35	the	the	DET
bracis-28354	106	36	classifier	classifier	NOUN
bracis-28354	106	37	.	.	PUNCT
bracis-28354	107	1	for	for	ADP
bracis-28354	107	2	the	the	DET
bracis-28354	107	3	linear	linear	PROPN
bracis-28354	107	4	svc	svc	PROPN
bracis-28354	107	5	,	,	PUNCT
bracis-28354	107	6	it	it	PRON
bracis-28354	107	7	is	be	AUX
bracis-28354	107	8	when	when	SCONJ
bracis-28354	107	9	the	the	DET
bracis-28354	107	10	instance	instance	NOUN
bracis-28354	107	11	is	be	AUX
bracis-28354	107	12	too	too	ADV
bracis-28354	107	13	close	close	ADJ
bracis-28354	107	14	to	to	ADP
bracis-28354	107	15	the	the	DET
bracis-28354	107	16	separating	separate	VERB
bracis-28354	107	17	hyperplane	hyperplane	NOUN
bracis-28354	107	18	.	.	PUNCT
bracis-28354	108	1	then	then	ADV
bracis-28354	108	2	,	,	PUNCT
bracis-28354	108	3	these	these	DET
bracis-28354	108	4	rejected	reject	VERB
bracis-28354	108	5	instances	instance	NOUN
bracis-28354	108	6	are	be	AUX
bracis-28354	108	7	analyzed	analyze	VERB
bracis-28354	108	8	through	through	ADP
bracis-28354	108	9	another	another	DET
bracis-28354	108	10	classification	classification	NOUN
bracis-28354	108	11	method	method	NOUN
bracis-28354	108	12	or	or	CCONJ
bracis-28354	108	13	even	even	ADV
bracis-28354	108	14	by	by	ADP
bracis-28354	108	15	a	a	DET
bracis-28354	108	16	human	human	ADJ
bracis-28354	108	17	specialist	specialist	NOUN
bracis-28354	108	18	 	 	SPACE
bracis-28354	109	1	[	[	X
bracis-28354	109	2	17	17	NUM
bracis-28354	109	3	]	]	PUNCT
bracis-28354	109	4	.	.	PUNCT
bracis-28354	110	1	in	in	ADP
bracis-28354	110	2	applications	application	NOUN
bracis-28354	110	3	where	where	SCONJ
bracis-28354	110	4	a	a	DET
bracis-28354	110	5	high	high	ADJ
bracis-28354	110	6	degree	degree	NOUN
bracis-28354	110	7	of	of	ADP
bracis-28354	110	8	reliability	reliability	NOUN
bracis-28354	110	9	is	be	AUX
bracis-28354	110	10	needed	need	VERB
bracis-28354	110	11	and	and	CCONJ
bracis-28354	110	12	misclassifications	misclassification	NOUN
bracis-28354	110	13	can	can	AUX
bracis-28354	110	14	be	be	AUX
bracis-28354	110	15	too	too	ADV
bracis-28354	110	16	costly	costly	ADJ
bracis-28354	110	17	,	,	PUNCT
bracis-28354	110	18	rejecting	reject	VERB
bracis-28354	110	19	to	to	PART
bracis-28354	110	20	classify	classify	VERB
bracis-28354	110	21	an	an	DET
bracis-28354	110	22	instance	instance	NOUN
bracis-28354	110	23	can	can	AUX
bracis-28354	110	24	be	be	AUX
bracis-28354	110	25	more	more	ADV
bracis-28354	110	26	beneficial	beneficial	ADJ
bracis-28354	110	27	than	than	ADP
bracis-28354	110	28	the	the	DET
bracis-28354	110	29	risk	risk	NOUN
bracis-28354	110	30	of	of	ADP
bracis-28354	110	31	a	a	DET
bracis-28354	110	32	higher	high	ADJ
bracis-28354	110	33	error	error	NOUN
bracis-28354	110	34	rate	rate	NOUN
bracis-28354	110	35	due	due	ADP
bracis-28354	110	36	to	to	ADP
bracis-28354	110	37	wrong	wrong	ADJ
bracis-28354	110	38	classifications	classification	NOUN
bracis-28354	110	39	 	 	SPACE
bracis-28354	111	1	[	[	X
bracis-28354	111	2	5	5	NUM
bracis-28354	111	3	]	]	PUNCT
bracis-28354	111	4	.	.	PUNCT
bracis-28354	112	1	according	accord	VERB
bracis-28354	112	2	to	to	ADP
bracis-28354	112	3	 	 	SPACE
bracis-28354	112	4	[	[	X
bracis-28354	112	5	3	3	NUM
bracis-28354	112	6	]	]	PUNCT
bracis-28354	112	7	,	,	PUNCT
bracis-28354	112	8	the	the	DET
bracis-28354	112	9	optimal	optimal	ADJ
bracis-28354	112	10	classifiers	classifier	NOUN
bracis-28354	112	11	that	that	PRON
bracis-28354	112	12	best	good	ADJ
bracis-28354	112	13	handle	handle	VERB
bracis-28354	112	14	such	such	DET
bracis-28354	112	15	a	a	DET
bracis-28354	112	16	relation	relation	NOUN
bracis-28354	112	17	can	can	AUX
bracis-28354	112	18	be	be	AUX
bracis-28354	112	19	achieved	achieve	VERB
bracis-28354	112	20	by	by	ADP
bracis-28354	112	21	the	the	DET
bracis-28354	112	22	minimization	minimization	NOUN
bracis-28354	112	23	of	of	ADP
bracis-28354	112	24	\(\hat{r}\	\(\hat{r}\	PROPN
bracis-28354	112	25	)	)	PUNCT
bracis-28354	112	26	through	through	ADP
bracis-28354	112	27	$	$	SYM
bracis-28354	112	28	$	$	SYM
bracis-28354	112	29	\begin{aligned	\begin{aligne	VERB
bracis-28354	112	30	}	}	PUNCT
bracis-28354	112	31	\begin{aligned	\begin{aligne	VERB
bracis-28354	112	32	}	}	PUNCT
bracis-28354	112	33	\hat{r	\hat{r	NOUN
bracis-28354	112	34	}	}	PUNCT
bracis-28354	112	35	=	=	SYM
bracis-28354	112	36	e	e	X
bracis-28354	112	37	+	+	PROPN
bracis-28354	112	38	w_r	w_r	SYM
bracis-28354	112	39	r	r	NOUN
bracis-28354	112	40	\end{aligned	\end{aligne	VERB
bracis-28354	112	41	}	}	PUNCT
bracis-28354	112	42	\end{aligned}$$	\end{aligned}$$	X
bracis-28354	112	43	(	(	PUNCT
bracis-28354	112	44	5	5	NUM
bracis-28354	112	45	)	)	PUNCT
bracis-28354	112	46	where	where	SCONJ
bracis-28354	112	47	r	r	NOUN
bracis-28354	112	48	is	be	AUX
bracis-28354	112	49	the	the	DET
bracis-28354	112	50	ratio	ratio	NOUN
bracis-28354	112	51	of	of	ADP
bracis-28354	112	52	the	the	DET
bracis-28354	112	53	number	number	NOUN
bracis-28354	112	54	of	of	ADP
bracis-28354	112	55	rejected	reject	VERB
bracis-28354	112	56	training	training	NOUN
bracis-28354	112	57	instances	instance	NOUN
bracis-28354	112	58	to	to	ADP
bracis-28354	112	59	the	the	DET
bracis-28354	112	60	number	number	NOUN
bracis-28354	112	61	of	of	ADP
bracis-28354	112	62	instances	instance	NOUN
bracis-28354	112	63	in	in	ADP
bracis-28354	112	64	the	the	DET
bracis-28354	112	65	entire	entire	ADJ
bracis-28354	112	66	training	training	NOUN
bracis-28354	112	67	dataset	dataset	NOUN
bracis-28354	112	68	;	;	PUNCT
bracis-28354	112	69	e	e	X
bracis-28354	112	70	is	be	AUX
bracis-28354	112	71	the	the	DET
bracis-28354	112	72	ratio	ratio	NOUN
bracis-28354	112	73	of	of	ADP
bracis-28354	112	74	the	the	DET
bracis-28354	112	75	number	number	NOUN
bracis-28354	112	76	of	of	ADP
bracis-28354	112	77	misclassified	misclassified	ADJ
bracis-28354	112	78	instances	instance	NOUN
bracis-28354	112	79	to	to	ADP
bracis-28354	112	80	the	the	DET
bracis-28354	112	81	number	number	NOUN
bracis-28354	112	82	of	of	ADP
bracis-28354	112	83	all	all	DET
bracis-28354	112	84	the	the	DET
bracis-28354	112	85	training	training	NOUN
bracis-28354	112	86	instances	instance	NOUN
bracis-28354	112	87	without	without	ADP
bracis-28354	112	88	including	include	VERB
bracis-28354	112	89	those	those	DET
bracis-28354	112	90	ones	one	NOUN
bracis-28354	112	91	rejected	reject	VERB
bracis-28354	112	92	;	;	PUNCT
bracis-28354	112	93	and	and	CCONJ
bracis-28354	112	94	\(w_r\	\(w_r\	NOUN
bracis-28354	112	95	)	)	PUNCT
bracis-28354	112	96	is	be	AUX
bracis-28354	112	97	a	a	DET
bracis-28354	112	98	weight	weight	NOUN
bracis-28354	112	99	denoting	denote	VERB
bracis-28354	112	100	the	the	DET
bracis-28354	112	101	cost	cost	NOUN
bracis-28354	112	102	of	of	ADP
bracis-28354	112	103	rejection	rejection	NOUN
bracis-28354	112	104	.	.	PUNCT
bracis-28354	113	1	a	a	DET
bracis-28354	113	2	lower	low	ADJ
bracis-28354	113	3	\(w_r\	\(w_r\	NOUN
bracis-28354	113	4	)	)	PUNCT
bracis-28354	113	5	gives	give	VERB
bracis-28354	113	6	room	room	NOUN
bracis-28354	113	7	for	for	ADP
bracis-28354	113	8	a	a	DET
bracis-28354	113	9	decreasing	decrease	VERB
bracis-28354	113	10	error	error	NOUN
bracis-28354	113	11	rate	rate	NOUN
bracis-28354	113	12	at	at	ADP
bracis-28354	113	13	the	the	DET
bracis-28354	113	14	cost	cost	NOUN
bracis-28354	113	15	of	of	ADP
bracis-28354	113	16	a	a	DET
bracis-28354	113	17	higher	high	ADJ
bracis-28354	113	18	quantity	quantity	NOUN
bracis-28354	113	19	of	of	ADP
bracis-28354	113	20	rejected	reject	VERB
bracis-28354	113	21	instances	instance	NOUN
bracis-28354	113	22	,	,	PUNCT
bracis-28354	113	23	with	with	ADP
bracis-28354	113	24	the	the	DET
bracis-28354	113	25	opposite	opposite	NOUN
bracis-28354	113	26	happening	happen	VERB
bracis-28354	113	27	for	for	ADP
bracis-28354	113	28	a	a	DET
bracis-28354	113	29	higher	high	ADJ
bracis-28354	113	30	\(w_r\	\(w_r\	NOUN
bracis-28354	113	31	)	)	PUNCT
bracis-28354	113	32	.	.	PUNCT
bracis-28354	114	1	a	a	DET
bracis-28354	114	2	method	method	NOUN
bracis-28354	114	3	is	be	AUX
bracis-28354	114	4	presented	present	VERB
bracis-28354	114	5	in	in	ADP
bracis-28354	114	6	 	 	SPACE
bracis-28354	114	7	[	[	X
bracis-28354	114	8	17	17	NUM
bracis-28354	114	9	]	]	PUNCT
bracis-28354	114	10	for	for	ADP
bracis-28354	114	11	single	single	ADJ
bracis-28354	114	12	,	,	PUNCT
bracis-28354	114	13	standard	standard	ADJ
bracis-28354	114	14	binary	binary	ADJ
bracis-28354	114	15	classifiers	classifier	NOUN
bracis-28354	114	16	that	that	PRON
bracis-28354	114	17	do	do	AUX
bracis-28354	114	18	not	not	PART
bracis-28354	114	19	provide	provide	VERB
bracis-28354	114	20	probabilistic	probabilistic	ADJ
bracis-28354	114	21	outputs	output	NOUN
bracis-28354	114	22	.	.	PUNCT
bracis-28354	115	1	for	for	ADP
bracis-28354	115	2	svcs	svcs	PROPN
bracis-28354	115	3	,	,	PUNCT
bracis-28354	115	4	the	the	DET
bracis-28354	115	5	proposed	propose	VERB
bracis-28354	115	6	rejection	rejection	NOUN
bracis-28354	115	7	techniques	technique	NOUN
bracis-28354	115	8	are	be	AUX
bracis-28354	115	9	based	base	VERB
bracis-28354	115	10	on	on	ADP
bracis-28354	115	11	the	the	DET
bracis-28354	115	12	distance	distance	NOUN
bracis-28354	115	13	of	of	ADP
bracis-28354	115	14	instances	instance	NOUN
bracis-28354	115	15	to	to	ADP
bracis-28354	115	16	the	the	DET
bracis-28354	115	17	optimal	optimal	ADJ
bracis-28354	115	18	separating	separate	VERB
bracis-28354	115	19	hyperplane	hyperplane	NOUN
bracis-28354	115	20	.	.	PUNCT
bracis-28354	116	1	if	if	SCONJ
bracis-28354	116	2	the	the	DET
bracis-28354	116	3	distance	distance	NOUN
bracis-28354	116	4	value	value	NOUN
bracis-28354	116	5	is	be	AUX
bracis-28354	116	6	lower	low	ADJ
bracis-28354	116	7	than	than	ADP
bracis-28354	116	8	a	a	DET
bracis-28354	116	9	predefined	predefine	VERB
bracis-28354	116	10	threshold	threshold	NOUN
bracis-28354	116	11	,	,	PUNCT
bracis-28354	116	12	then	then	ADV
bracis-28354	116	13	the	the	DET
bracis-28354	116	14	instance	instance	NOUN
bracis-28354	116	15	is	be	AUX
bracis-28354	116	16	rejected	reject	VERB
bracis-28354	116	17	.	.	PUNCT
bracis-28354	117	1	as	as	ADP
bracis-28354	117	2	such	such	ADJ
bracis-28354	117	3	,	,	PUNCT
bracis-28354	117	4	a	a	DET
bracis-28354	117	5	rejection	rejection	NOUN
bracis-28354	117	6	region	region	NOUN
bracis-28354	117	7	is	be	AUX
bracis-28354	117	8	determined	determine	VERB
bracis-28354	117	9	after	after	ADP
bracis-28354	117	10	the	the	DET
bracis-28354	117	11	training	training	NOUN
bracis-28354	117	12	step	step	NOUN
bracis-28354	117	13	of	of	ADP
bracis-28354	117	14	the	the	DET
bracis-28354	117	15	classifier	classifier	NOUN
bracis-28354	117	16	,	,	PUNCT
bracis-28354	117	17	with	with	ADP
bracis-28354	117	18	a	a	DET
bracis-28354	117	19	threshold	threshold	NOUN
bracis-28354	117	20	containing	contain	VERB
bracis-28354	117	21	appropriate	appropriate	ADJ
bracis-28354	117	22	values	value	NOUN
bracis-28354	117	23	being	be	AUX
bracis-28354	117	24	applied	apply	VERB
bracis-28354	117	25	to	to	ADP
bracis-28354	117	26	the	the	DET
bracis-28354	117	27	output	output	NOUN
bracis-28354	117	28	of	of	ADP
bracis-28354	117	29	the	the	DET
bracis-28354	117	30	classifier	classifier	NOUN
bracis-28354	117	31	.	.	PUNCT
bracis-28354	118	1	therefore	therefore	ADV
bracis-28354	118	2	,	,	PUNCT
bracis-28354	118	3	applying	apply	VERB
bracis-28354	118	4	this	this	DET
bracis-28354	118	5	strategy	strategy	NOUN
bracis-28354	118	6	to	to	ADP
bracis-28354	118	7	a	a	DET
bracis-28354	118	8	standard	standard	ADJ
bracis-28354	118	9	binary	binary	NOUN
bracis-28354	118	10	svc	svc	PROPN
bracis-28354	118	11	leads	lead	VERB
bracis-28354	118	12	to	to	ADP
bracis-28354	118	13	the	the	DET
bracis-28354	118	14	following	follow	VERB
bracis-28354	118	15	prediction	prediction	NOUN
bracis-28354	118	16	cases	case	NOUN
bracis-28354	118	17	:	:	PUNCT
bracis-28354	118	18	$	$	SYM
bracis-28354	118	19	$	$	SYM
bracis-28354	118	20	\begin{aligned	\begin{aligne	VERB
bracis-28354	118	21	}	}	PUNCT
bracis-28354	118	22	\hat{y	\hat{y	NOUN
bracis-28354	118	23	}	}	PUNCT
bracis-28354	118	24	=	=	SYM
bracis-28354	118	25	{	{	PUNCT
bracis-28354	118	26	\left\	\left\	PROPN
bracis-28354	118	27	{	{	PUNCT
bracis-28354	118	28	\begin{array}{ll	\begin{array}{ll	PROPN
bracis-28354	118	29	}	}	PUNCT
bracis-28354	118	30	&	&	CCONJ
bracis-28354	118	31	{	{	PUNCT
bracis-28354	118	32	}	}	PUNCT
bracis-28354	118	33	+1	+1	PROPN
bracis-28354	118	34	,	,	PUNCT
bracis-28354	118	35	\quad	\quad	PROPN
bracis-28354	118	36	\text	\text	PROPN
bracis-28354	118	37	{	{	PUNCT
bracis-28354	118	38	if	if	SCONJ
bracis-28354	118	39	}	}	PUNCT
bracis-28354	118	40	f(\textbf{x	f(\textbf{x	NUM
bracis-28354	118	41	}	}	PUNCT
bracis-28354	118	42	)	)	PUNCT
bracis-28354	118	43	>	>	X
bracis-28354	119	1	t_+,\\	t_+,\\	PROPN
bracis-28354	119	2	&	&	CCONJ
bracis-28354	119	3	{	{	PUNCT
bracis-28354	119	4	}	}	PROPN
bracis-28354	119	5	-1	-1	INTJ
bracis-28354	119	6	,	,	PUNCT
bracis-28354	119	7	\quad	\quad	PROPN
bracis-28354	119	8	\text	\text	PROPN
bracis-28354	119	9	{	{	PUNCT
bracis-28354	119	10	if	if	SCONJ
bracis-28354	119	11	}	}	PUNCT
bracis-28354	119	12	f(\textbf{x	f(\textbf{x	NUM
bracis-28354	119	13	}	}	PUNCT
bracis-28354	119	14	)	)	PUNCT
bracis-28354	119	15	<	<	X
bracis-28354	119	16	t_-,\\	t_-,\\	X
bracis-28354	119	17	&	&	CCONJ
bracis-28354	119	18	{	{	PUNCT
bracis-28354	119	19	}	}	PUNCT
bracis-28354	119	20	\	\	NOUN
bracis-28354	119	21	\	\	NOUN
bracis-28354	119	22	0	0	NUM
bracis-28354	119	23	,	,	PUNCT
bracis-28354	119	24	\quad	\quad	PROPN
bracis-28354	119	25	\text	\text	PROPN
bracis-28354	119	26	{	{	PUNCT
bracis-28354	119	27	otherwise	otherwise	ADV
bracis-28354	119	28	}	}	PUNCT
bracis-28354	119	29	,	,	PUNCT
bracis-28354	119	30	\end{array}\right	\end{array}\right	PROPN
bracis-28354	119	31	.	.	PUNCT
bracis-28354	119	32	}	}	PUNCT
bracis-28354	119	33	\end{aligned}$$	\end{aligned}$$	X
bracis-28354	119	34	(	(	PUNCT
bracis-28354	119	35	6	6	NUM
bracis-28354	119	36	)	)	PUNCT
bracis-28354	119	37	where	where	SCONJ
bracis-28354	119	38	\(t_+\	\(t_+\	NUM
bracis-28354	119	39	)	)	PUNCT
bracis-28354	119	40	and	and	CCONJ
bracis-28354	119	41	\(t_-\	\(t_-\	PROPN
bracis-28354	119	42	)	)	PUNCT
bracis-28354	119	43	are	be	AUX
bracis-28354	119	44	the	the	DET
bracis-28354	119	45	thresholds	threshold	NOUN
bracis-28354	119	46	for	for	ADP
bracis-28354	119	47	the	the	DET
bracis-28354	119	48	positive	positive	ADJ
bracis-28354	119	49	class	class	NOUN
bracis-28354	119	50	and	and	CCONJ
bracis-28354	119	51	negative	negative	ADJ
bracis-28354	119	52	class	class	NOUN
bracis-28354	119	53	,	,	PUNCT
bracis-28354	119	54	respectively	respectively	ADV
bracis-28354	119	55	,	,	PUNCT
bracis-28354	119	56	and	and	CCONJ
bracis-28354	119	57	0	0	NUM
bracis-28354	119	58	is	be	AUX
bracis-28354	119	59	the	the	DET
bracis-28354	119	60	rejection	rejection	NOUN
bracis-28354	119	61	class	class	NOUN
bracis-28354	119	62	.	.	PUNCT
bracis-28354	120	1	furthermore	furthermore	ADV
bracis-28354	120	2	,	,	PUNCT
bracis-28354	120	3	these	these	DET
bracis-28354	120	4	thresholds	threshold	NOUN
bracis-28354	120	5	are	be	AUX
bracis-28354	120	6	chosen	choose	VERB
bracis-28354	120	7	to	to	PART
bracis-28354	120	8	generate	generate	VERB
bracis-28354	120	9	the	the	DET
bracis-28354	120	10	optimal	optimal	ADJ
bracis-28354	120	11	reject	reject	NOUN
bracis-28354	120	12	region	region	NOUN
bracis-28354	120	13	,	,	PUNCT
bracis-28354	120	14	which	which	PRON
bracis-28354	120	15	corresponds	correspond	VERB
bracis-28354	120	16	to	to	ADP
bracis-28354	120	17	the	the	DET
bracis-28354	120	18	region	region	NOUN
bracis-28354	120	19	that	that	PRON
bracis-28354	120	20	minimizes	minimize	VERB
bracis-28354	120	21	\(\hat{r}\	\(\hat{r}\	PROPN
bracis-28354	120	22	)	)	PUNCT
bracis-28354	120	23	by	by	ADP
bracis-28354	120	24	producing	produce	VERB
bracis-28354	120	25	both	both	PRON
bracis-28354	120	26	the	the	DET
bracis-28354	120	27	ratio	ratio	NOUN
bracis-28354	120	28	of	of	ADP
bracis-28354	120	29	misclassified	misclassified	ADJ
bracis-28354	120	30	instances	instance	NOUN
bracis-28354	120	31	e	e	NOUN
bracis-28354	120	32	and	and	CCONJ
bracis-28354	120	33	the	the	DET
bracis-28354	120	34	ratio	ratio	NOUN
bracis-28354	120	35	of	of	ADP
bracis-28354	120	36	rejected	reject	VERB
bracis-28354	120	37	instances	instance	NOUN
bracis-28354	120	38	r.	r.	VERB
bracis-28354	120	39	2.4	2.4	NUM
bracis-28354	120	40	first	first	ADJ
bracis-28354	120	41	-	-	PUNCT
bracis-28354	120	42	order	order	NOUN
bracis-28354	120	43	logic	logic	NOUN
bracis-28354	120	44	in	in	ADP
bracis-28354	120	45	order	order	NOUN
bracis-28354	120	46	to	to	PART
bracis-28354	120	47	give	give	VERB
bracis-28354	120	48	explanations	explanation	NOUN
bracis-28354	120	49	with	with	ADP
bracis-28354	120	50	guarantees	guarantee	NOUN
bracis-28354	120	51	of	of	ADP
bracis-28354	120	52	correctness	correctness	NOUN
bracis-28354	120	53	,	,	PUNCT
bracis-28354	120	54	we	we	PRON
bracis-28354	120	55	use	use	VERB
bracis-28354	120	56	first	first	ADJ
bracis-28354	120	57	-	-	PUNCT
bracis-28354	120	58	order	order	NOUN
bracis-28354	120	59	logic	logic	NOUN
bracis-28354	120	60	(	(	PUNCT
bracis-28354	120	61	fol	fol	NOUN
bracis-28354	120	62	)	)	PUNCT
bracis-28354	120	63	 	 	SPACE
bracis-28354	121	1	[	[	X
bracis-28354	121	2	13	13	NUM
bracis-28354	121	3	]	]	PUNCT
bracis-28354	121	4	.	.	PUNCT
bracis-28354	122	1	we	we	PRON
bracis-28354	122	2	use	use	VERB
bracis-28354	122	3	quantifier	quantifier	NOUN
bracis-28354	122	4	-	-	PUNCT
bracis-28354	122	5	free	free	ADJ
bracis-28354	122	6	first	first	ADJ
bracis-28354	122	7	-	-	PUNCT
bracis-28354	122	8	order	order	NOUN
bracis-28354	122	9	formulas	formula	NOUN
bracis-28354	122	10	over	over	ADP
bracis-28354	122	11	the	the	DET
bracis-28354	122	12	theory	theory	NOUN
bracis-28354	122	13	of	of	ADP
bracis-28354	122	14	linear	linear	PROPN
bracis-28354	122	15	real	real	ADJ
bracis-28354	122	16	arithmetic	arithmetic	ADJ
bracis-28354	122	17	.	.	PUNCT
bracis-28354	123	1	then	then	ADV
bracis-28354	123	2	,	,	PUNCT
bracis-28354	123	3	first	first	ADJ
bracis-28354	123	4	-	-	PUNCT
bracis-28354	123	5	order	order	NOUN
bracis-28354	123	6	variables	variable	NOUN
bracis-28354	123	7	are	be	AUX
bracis-28354	123	8	allowed	allow	VERB
bracis-28354	123	9	to	to	PART
bracis-28354	123	10	take	take	VERB
bracis-28354	123	11	values	value	NOUN
bracis-28354	123	12	from	from	ADP
bracis-28354	123	13	the	the	DET
bracis-28354	123	14	real	real	ADJ
bracis-28354	123	15	numbers	number	NOUN
bracis-28354	123	16	.	.	PUNCT
bracis-28354	124	1	therefore	therefore	ADV
bracis-28354	124	2	,	,	PUNCT
bracis-28354	124	3	we	we	PRON
bracis-28354	124	4	consider	consider	VERB
bracis-28354	124	5	formulas	formula	NOUN
bracis-28354	124	6	as	as	SCONJ
bracis-28354	124	7	defined	define	VERB
bracis-28354	124	8	below	below	ADP
bracis-28354	124	9	:	:	PUNCT
bracis-28354	124	10	$	$	SYM
bracis-28354	124	11	$	$	SYM
bracis-28354	124	12	\begin{aligned	\begin{aligne	VERB
bracis-28354	124	13	}	}	PUNCT
bracis-28354	124	14	\begin{aligned	\begin{aligne	VERB
bracis-28354	124	15	}	}	PUNCT
bracis-28354	124	16	\varphi	\varphi	PROPN
bracis-28354	124	17	,	,	PUNCT
bracis-28354	124	18	\psi	\psi	PROPN
bracis-28354	124	19	&	&	CCONJ
bracis-28354	124	20	:	:	PUNCT
bracis-28354	124	21	=	=	SYM
bracis-28354	124	22	s	s	SYM
bracis-28354	124	23	\mid	\mid	ADP
bracis-28354	124	24	(	(	PUNCT
bracis-28354	124	25	\varphi	\varphi	PROPN
bracis-28354	124	26	\wedge	\wedge	NOUN
bracis-28354	124	27	\psi	\psi	PROPN
bracis-28354	124	28	)	)	PUNCT
bracis-28354	125	1	\mid	\mid	ADP
bracis-28354	125	2	(	(	PUNCT
bracis-28354	125	3	\varphi	\varphi	PROPN
bracis-28354	125	4	\vee	\vee	PROPN
bracis-28354	125	5	\psi	\psi	PROPN
bracis-28354	125	6	)	)	PUNCT
bracis-28354	126	1	\mid	\mid	ADP
bracis-28354	126	2	(	(	PUNCT
bracis-28354	126	3	\lnot	\lnot	INTJ
bracis-28354	126	4	\varphi	\varphi	PROPN
bracis-28354	126	5	)	)	PUNCT
bracis-28354	126	6	\mid	\mid	SCONJ
bracis-28354	126	7	(	(	PUNCT
bracis-28354	126	8	\varphi	\varphi	PROPN
bracis-28354	126	9	\rightarrow	\rightarrow	PROPN
bracis-28354	126	10	\psi	\psi	PROPN
bracis-28354	126	11	)	)	PUNCT
bracis-28354	126	12	,	,	PUNCT
bracis-28354	126	13	\\	\\	NOUN
bracis-28354	126	14	s	s	PART
bracis-28354	126	15	&	&	CCONJ
bracis-28354	126	16	:	:	PUNCT
bracis-28354	126	17	=	=	SYM
bracis-28354	126	18	\sum	\sum	NOUN
bracis-28354	126	19	^n_{i=1	^n_{i=1	PUNCT
bracis-28354	126	20	}	}	PUNCT
bracis-28354	126	21	a_i	a_i	SYM
bracis-28354	126	22	z_i	z_i	PROPN
bracis-28354	126	23	\le	\le	PROPN
bracis-28354	126	24	e	e	NOUN
bracis-28354	126	25	\mid	\mid	PROPN
bracis-28354	126	26	\sum	\sum	NOUN
bracis-28354	126	27	^n_{i=1	^n_{i=1	PUNCT
bracis-28354	126	28	}	}	PUNCT
bracis-28354	126	29	a_i	a_i	PUNCT
bracis-28354	126	30	z_i	z_i	PROPN
bracis-28354	126	31	<	<	X
bracis-28354	126	32	e	e	X
bracis-28354	126	33	,	,	PUNCT
bracis-28354	126	34	\end{aligned	\end{aligne	VERB
bracis-28354	126	35	}	}	PUNCT
bracis-28354	126	36	\end{aligned}$$	\end{aligned}$$	X
bracis-28354	126	37	(	(	PUNCT
bracis-28354	126	38	7	7	NUM
bracis-28354	126	39	)	)	PUNCT
bracis-28354	126	40	such	such	ADJ
bracis-28354	126	41	that	that	SCONJ
bracis-28354	126	42	\(\varphi	\(\varphi	PUNCT
bracis-28354	126	43	\	\	NOUN
bracis-28354	126	44	)	)	PUNCT
bracis-28354	126	45	and	and	CCONJ
bracis-28354	126	46	\(\psi	\(\psi	VERB
bracis-28354	126	47	\	\	NOUN
bracis-28354	126	48	)	)	PUNCT
bracis-28354	126	49	are	be	AUX
bracis-28354	126	50	quantifier	quantifier	NOUN
bracis-28354	126	51	-	-	PUNCT
bracis-28354	126	52	free	free	ADJ
bracis-28354	126	53	first	first	ADJ
bracis-28354	126	54	-	-	PUNCT
bracis-28354	126	55	order	order	NOUN
bracis-28354	126	56	formulas	formula	NOUN
bracis-28354	126	57	over	over	ADP
bracis-28354	126	58	the	the	DET
bracis-28354	126	59	theory	theory	NOUN
bracis-28354	126	60	of	of	ADP
bracis-28354	126	61	linear	linear	PROPN
bracis-28354	126	62	real	real	ADJ
bracis-28354	126	63	arithmetic	arithmetic	ADJ
bracis-28354	126	64	.	.	PUNCT
bracis-28354	127	1	moreover	moreover	ADV
bracis-28354	127	2	,	,	PUNCT
bracis-28354	127	3	s	s	VERB
bracis-28354	127	4	represents	represent	VERB
bracis-28354	127	5	the	the	DET
bracis-28354	127	6	atomic	atomic	ADJ
bracis-28354	127	7	formulas	formula	NOUN
bracis-28354	127	8	such	such	ADJ
bracis-28354	127	9	that	that	DET
bracis-28354	127	10	\(n	\(n	NOUN
bracis-28354	127	11	\ge	\ge	PROPN
bracis-28354	127	12	1\	1\	NUM
bracis-28354	127	13	)	)	PUNCT
bracis-28354	127	14	,	,	PUNCT
bracis-28354	127	15	each	each	DET
bracis-28354	127	16	\(a_i\	\(a_i\	NOUN
bracis-28354	127	17	)	)	PUNCT
bracis-28354	127	18	and	and	CCONJ
bracis-28354	127	19	e	e	NOUN
bracis-28354	127	20	are	be	AUX
bracis-28354	127	21	concrete	concrete	ADJ
bracis-28354	127	22	real	real	ADJ
bracis-28354	127	23	numbers	number	NOUN
bracis-28354	127	24	,	,	PUNCT
bracis-28354	127	25	and	and	CCONJ
bracis-28354	127	26	each	each	DET
bracis-28354	127	27	\(z_i\	\(z_i\	NOUN
bracis-28354	127	28	)	)	PUNCT
bracis-28354	127	29	is	be	AUX
bracis-28354	127	30	a	a	DET
bracis-28354	127	31	first	first	ADJ
bracis-28354	127	32	-	-	PUNCT
bracis-28354	127	33	order	order	NOUN
bracis-28354	127	34	variable	variable	NOUN
bracis-28354	127	35	.	.	PUNCT
bracis-28354	128	1	for	for	ADP
bracis-28354	128	2	example	example	NOUN
bracis-28354	128	3	,	,	PUNCT
bracis-28354	128	4	\((2.5z_1	\((2.5z_1	PROPN
bracis-28354	128	5	+	+	CCONJ
bracis-28354	128	6	3.1z_2	3.1z_2	NUM
bracis-28354	128	7	\ge	\ge	PROPN
bracis-28354	128	8	6	6	NUM
bracis-28354	128	9	)	)	PUNCT
bracis-28354	128	10	\wedge	\wedge	PROPN
bracis-28354	128	11	(	(	PUNCT
bracis-28354	128	12	z_1=1	z_1=1	PROPN
bracis-28354	128	13	\vee	\vee	PROPN
bracis-28354	128	14	z_1=2	z_1=2	X
bracis-28354	128	15	)	)	PUNCT
bracis-28354	128	16	\wedge	\wedge	PROPN
bracis-28354	128	17	(	(	PUNCT
bracis-28354	128	18	z_1=2	z_1=2	PROPN
bracis-28354	128	19	\rightarrow	\rightarrow	PROPN
bracis-28354	128	20	z_2	z_2	PROPN
bracis-28354	128	21	\le	\le	PROPN
bracis-28354	128	22	1.1)\	1.1)\	NUM
bracis-28354	128	23	)	)	PUNCT
bracis-28354	128	24	is	be	AUX
bracis-28354	128	25	a	a	DET
bracis-28354	128	26	formula	formula	NOUN
bracis-28354	128	27	by	by	ADP
bracis-28354	128	28	this	this	DET
bracis-28354	128	29	definition	definition	NOUN
bracis-28354	128	30	.	.	PUNCT
bracis-28354	129	1	observe	observe	VERB
bracis-28354	129	2	that	that	SCONJ
bracis-28354	129	3	we	we	PRON
bracis-28354	129	4	allow	allow	VERB
bracis-28354	129	5	standard	standard	ADJ
bracis-28354	129	6	abbreviations	abbreviation	NOUN
bracis-28354	129	7	as	as	ADP
bracis-28354	129	8	\(\lnot	\(\lnot	ADV
bracis-28354	129	9	(	(	PUNCT
bracis-28354	129	10	2.5z_1	2.5z_1	NUM
bracis-28354	130	1	+	+	CCONJ
bracis-28354	130	2	3.1z_2	3.1z_2	NUM
bracis-28354	130	3	<	<	X
bracis-28354	130	4	6)\	6)\	NUM
bracis-28354	130	5	)	)	PUNCT
bracis-28354	130	6	for	for	ADP
bracis-28354	130	7	\(2.5z_1	\(2.5z_1	PROPN
bracis-28354	130	8	+	+	PROPN
bracis-28354	130	9	3.1z_2	3.1z_2	NUM
bracis-28354	130	10	\ge	\ge	PROPN
bracis-28354	130	11	6\	6\	NUM
bracis-28354	130	12	)	)	PUNCT
bracis-28354	130	13	.	.	PUNCT
bracis-28354	131	1	since	since	SCONJ
bracis-28354	131	2	we	we	PRON
bracis-28354	131	3	are	be	AUX
bracis-28354	131	4	assuming	assume	VERB
bracis-28354	131	5	the	the	DET
bracis-28354	131	6	semantics	semantic	NOUN
bracis-28354	131	7	of	of	ADP
bracis-28354	131	8	formulas	formula	NOUN
bracis-28354	131	9	over	over	ADP
bracis-28354	131	10	the	the	DET
bracis-28354	131	11	domain	domain	NOUN
bracis-28354	131	12	of	of	ADP
bracis-28354	131	13	real	real	ADJ
bracis-28354	131	14	numbers	number	NOUN
bracis-28354	131	15	,	,	PUNCT
bracis-28354	131	16	an	an	DET
bracis-28354	131	17	assignment	assignment	NOUN
bracis-28354	131	18	\(\mathcal	\(\mathcal	ADJ
bracis-28354	131	19	{	{	PUNCT
bracis-28354	131	20	a}\	a}\	NUM
bracis-28354	131	21	)	)	PUNCT
bracis-28354	131	22	for	for	ADP
bracis-28354	131	23	a	a	DET
bracis-28354	131	24	formula	formula	NOUN
bracis-28354	131	25	\(\varphi	\(\varphi	NOUN
bracis-28354	131	26	\	\	NOUN
bracis-28354	131	27	)	)	PUNCT
bracis-28354	131	28	is	be	AUX
bracis-28354	131	29	a	a	DET
bracis-28354	131	30	mapping	mapping	NOUN
bracis-28354	131	31	from	from	ADP
bracis-28354	131	32	the	the	DET
bracis-28354	131	33	first	first	ADJ
bracis-28354	131	34	-	-	PUNCT
bracis-28354	131	35	order	order	NOUN
bracis-28354	131	36	variables	variable	NOUN
bracis-28354	131	37	of	of	ADP
bracis-28354	131	38	\(\varphi	\(\varphi	NOUN
bracis-28354	131	39	\	\	NOUN
bracis-28354	131	40	)	)	PUNCT
bracis-28354	131	41	to	to	ADP
bracis-28354	131	42	elements	element	NOUN
bracis-28354	131	43	in	in	ADP
bracis-28354	131	44	the	the	DET
bracis-28354	131	45	domain	domain	NOUN
bracis-28354	131	46	of	of	ADP
bracis-28354	131	47	real	real	ADJ
bracis-28354	131	48	numbers	number	NOUN
bracis-28354	131	49	.	.	PUNCT
bracis-28354	132	1	for	for	ADP
bracis-28354	132	2	instance	instance	NOUN
bracis-28354	132	3	,	,	PUNCT
bracis-28354	132	4	\(\{z_1	\(\{z_1	PROPN
bracis-28354	132	5	\mapsto	\mapsto	PROPN
bracis-28354	132	6	2.3	2.3	NUM
bracis-28354	132	7	,	,	PUNCT
bracis-28354	132	8	z_2	z_2	PROPN
bracis-28354	132	9	\mapsto	\mapsto	PROPN
bracis-28354	132	10	1\}\	1\}\	NUM
bracis-28354	132	11	)	)	PUNCT
bracis-28354	132	12	is	be	AUX
bracis-28354	132	13	an	an	DET
bracis-28354	132	14	assignment	assignment	NOUN
bracis-28354	132	15	for	for	ADP
bracis-28354	132	16	\((2.5z_1	\((2.5z_1	PROPN
bracis-28354	132	17	+	+	CCONJ
bracis-28354	132	18	3.1z_2	3.1z_2	NUM
bracis-28354	132	19	\ge	\ge	PROPN
bracis-28354	132	20	6	6	NUM
bracis-28354	132	21	)	)	PUNCT
bracis-28354	132	22	\wedge	\wedge	PROPN
bracis-28354	132	23	(	(	PUNCT
bracis-28354	132	24	z_1=1	z_1=1	PROPN
bracis-28354	132	25	\vee	\vee	PROPN
bracis-28354	132	26	z_1=2	z_1=2	X
bracis-28354	132	27	)	)	PUNCT
bracis-28354	132	28	\wedge	\wedge	PROPN
bracis-28354	132	29	(	(	PUNCT
bracis-28354	132	30	z_1=2	z_1=2	PROPN
bracis-28354	132	31	\rightarrow	\rightarrow	PROPN
bracis-28354	132	32	z_2	z_2	PROPN
bracis-28354	132	33	\le	\le	PROPN
bracis-28354	132	34	1.1)\	1.1)\	NUM
bracis-28354	132	35	)	)	PUNCT
bracis-28354	132	36	.	.	PUNCT
bracis-28354	133	1	an	an	DET
bracis-28354	133	2	assignment	assignment	NOUN
bracis-28354	133	3	\(\mathcal	\(\mathcal	ADJ
bracis-28354	133	4	{	{	PUNCT
bracis-28354	133	5	a}\	a}\	NUM
bracis-28354	133	6	)	)	PUNCT
bracis-28354	133	7	satisfies	satisfy	VERB
bracis-28354	133	8	a	a	DET
bracis-28354	133	9	formula	formula	NOUN
bracis-28354	133	10	\(\varphi	\(\varphi	NOUN
bracis-28354	133	11	\	\	NOUN
bracis-28354	133	12	)	)	PUNCT
bracis-28354	133	13	if	if	SCONJ
bracis-28354	133	14	\(\varphi	\(\varphi	ADJ
bracis-28354	133	15	\	\	NOUN
bracis-28354	133	16	)	)	PUNCT
bracis-28354	133	17	is	be	AUX
bracis-28354	133	18	true	true	ADJ
bracis-28354	133	19	under	under	ADP
bracis-28354	133	20	this	this	DET
bracis-28354	133	21	assignment	assignment	NOUN
bracis-28354	133	22	.	.	PUNCT
bracis-28354	134	1	for	for	ADP
bracis-28354	134	2	example	example	NOUN
bracis-28354	134	3	,	,	PUNCT
bracis-28354	134	4	\(\{z_1	\(\{z_1	PROPN
bracis-28354	134	5	\mapsto	\mapsto	PROPN
bracis-28354	134	6	2	2	NUM
bracis-28354	134	7	,	,	PUNCT
bracis-28354	134	8	z_2	z_2	PROPN
bracis-28354	134	9	\mapsto	\mapsto	PROPN
bracis-28354	134	10	1.05\}\	1.05\}\	NUM
bracis-28354	134	11	)	)	PUNCT
bracis-28354	134	12	satisfies	satisfy	VERB
bracis-28354	134	13	the	the	DET
bracis-28354	134	14	formula	formula	NOUN
bracis-28354	134	15	in	in	ADP
bracis-28354	134	16	the	the	DET
bracis-28354	134	17	above	above	ADJ
bracis-28354	134	18	example	example	NOUN
bracis-28354	134	19	,	,	PUNCT
bracis-28354	134	20	whereas	whereas	SCONJ
bracis-28354	134	21	\(\{z_1	\(\{z_1	PROPN
bracis-28354	134	22	\mapsto	\mapsto	PROPN
bracis-28354	134	23	2.3	2.3	NUM
bracis-28354	134	24	,	,	PUNCT
bracis-28354	134	25	z_2	z_2	PROPN
bracis-28354	134	26	\mapsto	\mapsto	PROPN
bracis-28354	134	27	1\}\	1\}\	NUM
bracis-28354	134	28	)	)	PUNCT
bracis-28354	134	29	does	do	AUX
bracis-28354	134	30	not	not	PART
bracis-28354	134	31	satisfy	satisfy	VERB
bracis-28354	134	32	it	it	PRON
bracis-28354	134	33	.	.	PUNCT
bracis-28354	135	1	a	a	DET
bracis-28354	135	2	formula	formula	NOUN
bracis-28354	135	3	\(\varphi	\(\varphi	NOUN
bracis-28354	135	4	\	\	NOUN
bracis-28354	135	5	)	)	PUNCT
bracis-28354	135	6	is	be	AUX
bracis-28354	135	7	satisfiable	satisfiable	ADJ
bracis-28354	135	8	if	if	SCONJ
bracis-28354	135	9	there	there	PRON
bracis-28354	135	10	exists	exist	VERB
bracis-28354	135	11	a	a	DET
bracis-28354	135	12	satisfying	satisfying	ADJ
bracis-28354	135	13	assignment	assignment	NOUN
bracis-28354	135	14	for	for	ADP
bracis-28354	135	15	\(\varphi	\(\varphi	PROPN
bracis-28354	135	16	\	\	NOUN
bracis-28354	135	17	)	)	PUNCT
bracis-28354	135	18	.	.	PUNCT
bracis-28354	136	1	then	then	ADV
bracis-28354	136	2	,	,	PUNCT
bracis-28354	136	3	the	the	DET
bracis-28354	136	4	formula	formula	NOUN
bracis-28354	136	5	in	in	ADP
bracis-28354	136	6	the	the	DET
bracis-28354	136	7	above	above	ADJ
bracis-28354	136	8	example	example	NOUN
bracis-28354	136	9	is	be	AUX
bracis-28354	136	10	satisfiable	satisfiable	ADJ
bracis-28354	136	11	since	since	SCONJ
bracis-28354	136	12	\(\{z_1	\(\{z_1	PROPN
bracis-28354	136	13	\mapsto	\mapsto	PROPN
bracis-28354	136	14	2	2	NUM
bracis-28354	136	15	,	,	PUNCT
bracis-28354	136	16	z_2	z_2	PROPN
bracis-28354	136	17	\mapsto	\mapsto	PROPN
bracis-28354	136	18	1.05\}\	1.05\}\	NUM
bracis-28354	136	19	)	)	PUNCT
bracis-28354	136	20	satisfies	satisfy	VERB
bracis-28354	136	21	it	it	PRON
bracis-28354	136	22	.	.	PUNCT
bracis-28354	137	1	as	as	ADP
bracis-28354	137	2	another	another	DET
bracis-28354	137	3	example	example	NOUN
bracis-28354	137	4	,	,	PUNCT
bracis-28354	137	5	the	the	DET
bracis-28354	137	6	formula	formula	NOUN
bracis-28354	137	7	\((z_1	\((z_1	PROPN
bracis-28354	137	8	\ge	\ge	PROPN
bracis-28354	137	9	2	2	NUM
bracis-28354	137	10	)	)	PUNCT
bracis-28354	137	11	\wedge	\wedge	PROPN
bracis-28354	137	12	(	(	PUNCT
bracis-28354	137	13	z_1	z_1	PROPN
bracis-28354	137	14	<	<	X
bracis-28354	137	15	1)\	1)\	NUM
bracis-28354	137	16	)	)	PUNCT
bracis-28354	137	17	is	be	AUX
bracis-28354	137	18	unsatisfiable	unsatisfiable	ADJ
bracis-28354	137	19	since	since	SCONJ
bracis-28354	137	20	no	no	DET
bracis-28354	137	21	assignment	assignment	NOUN
bracis-28354	137	22	satisfies	satisfy	VERB
bracis-28354	137	23	it	it	PRON
bracis-28354	137	24	.	.	PUNCT
bracis-28354	138	1	the	the	DET
bracis-28354	138	2	notion	notion	NOUN
bracis-28354	138	3	of	of	ADP
bracis-28354	138	4	satisfiability	satisfiability	NOUN
bracis-28354	138	5	can	can	AUX
bracis-28354	138	6	be	be	AUX
bracis-28354	138	7	extended	extend	VERB
bracis-28354	138	8	to	to	ADP
bracis-28354	138	9	sets	set	NOUN
bracis-28354	138	10	of	of	ADP
bracis-28354	138	11	formulas	formula	NOUN
bracis-28354	138	12	\(\vargamma	\(\vargamma	PROPN
bracis-28354	138	13	\	\	PROPN
bracis-28354	138	14	)	)	PUNCT
bracis-28354	138	15	.	.	PUNCT
bracis-28354	139	1	a	a	DET
bracis-28354	139	2	set	set	NOUN
bracis-28354	139	3	of	of	ADP
bracis-28354	139	4	first	first	ADJ
bracis-28354	139	5	-	-	PUNCT
bracis-28354	139	6	order	order	NOUN
bracis-28354	139	7	formulas	formula	NOUN
bracis-28354	139	8	is	be	AUX
bracis-28354	139	9	satisfiable	satisfiable	ADJ
bracis-28354	139	10	if	if	SCONJ
bracis-28354	139	11	there	there	PRON
bracis-28354	139	12	exists	exist	VERB
bracis-28354	139	13	an	an	DET
bracis-28354	139	14	assignment	assignment	NOUN
bracis-28354	139	15	of	of	ADP
bracis-28354	139	16	values	value	NOUN
bracis-28354	139	17	to	to	ADP
bracis-28354	139	18	the	the	DET
bracis-28354	139	19	variables	variable	NOUN
bracis-28354	139	20	that	that	PRON
bracis-28354	139	21	makes	make	VERB
bracis-28354	139	22	all	all	DET
bracis-28354	139	23	the	the	DET
bracis-28354	139	24	formulas	formula	NOUN
bracis-28354	139	25	in	in	ADP
bracis-28354	139	26	\(\vargamma	\(\vargamma	PROPN
bracis-28354	139	27	\	\	NOUN
bracis-28354	139	28	)	)	PUNCT
bracis-28354	139	29	true	true	ADJ
bracis-28354	139	30	simultaneously	simultaneously	ADV
bracis-28354	139	31	.	.	PUNCT
bracis-28354	140	1	for	for	ADP
bracis-28354	140	2	example	example	NOUN
bracis-28354	140	3	,	,	PUNCT
bracis-28354	140	4	\(\{(2.5z_1	\(\{(2.5z_1	PROPN
bracis-28354	140	5	+	+	CCONJ
bracis-28354	140	6	3.1z_2	3.1z_2	NUM
bracis-28354	140	7	\ge	\ge	PROPN
bracis-28354	140	8	6	6	NUM
bracis-28354	140	9	)	)	PUNCT
bracis-28354	140	10	,	,	PUNCT
bracis-28354	140	11	(	(	PUNCT
bracis-28354	140	12	z_1=1	z_1=1	X
bracis-28354	140	13	\vee	\vee	PROPN
bracis-28354	140	14	z_1=2	z_1=2	PROPN
bracis-28354	140	15	)	)	PUNCT
bracis-28354	140	16	,	,	PUNCT
bracis-28354	140	17	(	(	PUNCT
bracis-28354	140	18	z_1=2	z_1=2	NUM
bracis-28354	140	19	\rightarrow	\rightarrow	PROPN
bracis-28354	140	20	z_2	z_2	PROPN
bracis-28354	140	21	\le	\le	PROPN
bracis-28354	140	22	1.1)\}\	1.1)\}\	NOUN
bracis-28354	140	23	)	)	PUNCT
bracis-28354	140	24	is	be	AUX
bracis-28354	140	25	satisfiable	satisfiable	ADJ
bracis-28354	140	26	given	give	VERB
bracis-28354	140	27	that	that	DET
bracis-28354	140	28	\(\{z_1	\(\{z_1	PROPN
bracis-28354	140	29	\mapsto	\mapsto	PROPN
bracis-28354	140	30	2	2	NUM
bracis-28354	140	31	,	,	PUNCT
bracis-28354	140	32	z_2	z_2	PROPN
bracis-28354	140	33	\mapsto	\mapsto	PROPN
bracis-28354	140	34	1.05\}\	1.05\}\	NUM
bracis-28354	140	35	)	)	PUNCT
bracis-28354	140	36	jointly	jointly	ADV
bracis-28354	140	37	satisfies	satisfy	VERB
bracis-28354	140	38	each	each	DET
bracis-28354	140	39	one	one	NUM
bracis-28354	140	40	of	of	ADP
bracis-28354	140	41	the	the	DET
bracis-28354	140	42	formulas	formula	NOUN
bracis-28354	140	43	in	in	ADP
bracis-28354	140	44	the	the	DET
bracis-28354	140	45	set	set	NOUN
bracis-28354	140	46	.	.	PUNCT
bracis-28354	141	1	it	it	PRON
bracis-28354	141	2	is	be	AUX
bracis-28354	141	3	well	well	ADV
bracis-28354	141	4	known	know	VERB
bracis-28354	141	5	that	that	SCONJ
bracis-28354	141	6	,	,	PUNCT
bracis-28354	141	7	for	for	ADP
bracis-28354	141	8	all	all	DET
bracis-28354	141	9	sets	set	NOUN
bracis-28354	141	10	of	of	ADP
bracis-28354	141	11	formulas	formula	NOUN
bracis-28354	141	12	\(\vargamma	\(\vargamma	PROPN
bracis-28354	141	13	\	\	PROPN
bracis-28354	141	14	)	)	PUNCT
bracis-28354	141	15	and	and	CCONJ
bracis-28354	141	16	all	all	DET
bracis-28354	141	17	formulas	formula	NOUN
bracis-28354	141	18	\(\varphi	\(\varphi	NOUN
bracis-28354	141	19	\	\	NOUN
bracis-28354	141	20	)	)	PUNCT
bracis-28354	141	21	and	and	CCONJ
bracis-28354	141	22	\(\psi	\(\psi	VERB
bracis-28354	141	23	\	\	NOUN
bracis-28354	141	24	)	)	PUNCT
bracis-28354	141	25	,	,	PUNCT
bracis-28354	141	26	$	$	SYM
bracis-28354	141	27	$	$	SYM
bracis-28354	141	28	\begin{aligned	\begin{aligne	VERB
bracis-28354	141	29	}	}	PUNCT
bracis-28354	141	30	\begin{aligned	\begin{aligne	VERB
bracis-28354	141	31	}	}	PUNCT
bracis-28354	141	32	\vargamma	\vargamma	PROPN
bracis-28354	141	33	\cup	\cup	PROPN
bracis-28354	141	34	\{\varphi	\{\varphi	NUM
bracis-28354	141	35	\vee	\vee	NOUN
bracis-28354	141	36	\psi	\psi	PROPN
bracis-28354	141	37	\	\	PROPN
bracis-28354	141	38	}	}	PUNCT
bracis-28354	141	39	\text	\text	ADV
bracis-28354	141	40	{	{	PUNCT
bracis-28354	141	41	is	be	AUX
bracis-28354	141	42	unsatisfiable	unsatisfiable	ADJ
bracis-28354	141	43	iff	iff	PROPN
bracis-28354	141	44	}	}	PUNCT
bracis-28354	141	45	&	&	CCONJ
bracis-28354	141	46	\vargamma	\vargamma	PROPN
bracis-28354	141	47	\cup	\cup	VERB
bracis-28354	141	48	\{\varphi	\{\varphi	NUM
bracis-28354	141	49	\	\	NOUN
bracis-28354	141	50	}	}	PUNCT
bracis-28354	141	51	\text	\text	NOUN
bracis-28354	141	52	{	{	PUNCT
bracis-28354	141	53	is	be	AUX
bracis-28354	141	54	unsatisfiable	unsatisfiable	ADJ
bracis-28354	141	55	and	and	CCONJ
bracis-28354	141	56	}	}	PUNCT
bracis-28354	141	57	\\	\\	NOUN
bracis-28354	141	58	&	&	CCONJ
bracis-28354	141	59	\vargamma	\vargamma	PROPN
bracis-28354	141	60	\cup	\cup	VERB
bracis-28354	141	61	\{\psi	\{\psi	NOUN
bracis-28354	141	62	\	\	NOUN
bracis-28354	141	63	}	}	PUNCT
bracis-28354	141	64	\text	\text	NOUN
bracis-28354	141	65	{	{	PUNCT
bracis-28354	141	66	is	be	AUX
bracis-28354	141	67	unsatisfiable	unsatisfiable	ADJ
bracis-28354	141	68	.	.	PUNCT
bracis-28354	141	69	}	}	PUNCT
bracis-28354	141	70	\end{aligned	\end{aligne	VERB
bracis-28354	141	71	}	}	PUNCT
bracis-28354	141	72	\end{aligned}$$	\end{aligned}$$	X
bracis-28354	141	73	(	(	PUNCT
bracis-28354	141	74	8)	8)	NUM
bracis-28354	141	75	given	give	VERB
bracis-28354	141	76	a	a	DET
bracis-28354	141	77	set	set	VERB
bracis-28354	141	78	\(\vargamma	\(\vargamma	PROPN
bracis-28354	141	79	\	\	PROPN
bracis-28354	141	80	)	)	PUNCT
bracis-28354	141	81	of	of	ADP
bracis-28354	141	82	formulas	formula	NOUN
bracis-28354	141	83	and	and	CCONJ
bracis-28354	141	84	a	a	DET
bracis-28354	141	85	formula	formula	NOUN
bracis-28354	141	86	\(\varphi	\(\varphi	NOUN
bracis-28354	141	87	\	\	NOUN
bracis-28354	141	88	)	)	PUNCT
bracis-28354	141	89	,	,	PUNCT
bracis-28354	141	90	the	the	DET
bracis-28354	141	91	notation	notation	NOUN
bracis-28354	141	92	\(\vargamma	\(\vargamma	PROPN
bracis-28354	141	93	\,\models	\,\model	VERB
bracis-28354	141	94	\,\varphi	\,\varphi	PROPN
bracis-28354	141	95	\	\	NOUN
bracis-28354	141	96	)	)	PUNCT
bracis-28354	141	97	is	be	AUX
bracis-28354	141	98	used	use	VERB
bracis-28354	141	99	to	to	PART
bracis-28354	141	100	denote	denote	VERB
bracis-28354	141	101	logical	logical	ADJ
bracis-28354	141	102	consequence	consequence	NOUN
bracis-28354	141	103	,	,	PUNCT
bracis-28354	141	104	i.e.	i.e.	X
bracis-28354	141	105	,	,	PUNCT
bracis-28354	141	106	each	each	DET
bracis-28354	141	107	assignment	assignment	NOUN
bracis-28354	141	108	that	that	PRON
bracis-28354	141	109	satisfies	satisfy	VERB
bracis-28354	141	110	all	all	DET
bracis-28354	141	111	formulas	formula	NOUN
bracis-28354	141	112	in	in	ADP
bracis-28354	141	113	\(\vargamma	\(\vargamma	PROPN
bracis-28354	141	114	\	\	PROPN
bracis-28354	141	115	)	)	PUNCT
bracis-28354	141	116	also	also	ADV
bracis-28354	141	117	satisfies	satisfy	VERB
bracis-28354	141	118	\(\varphi	\(\varphi	ADJ
bracis-28354	141	119	\	\	PROPN
bracis-28354	141	120	)	)	PUNCT
bracis-28354	141	121	.	.	PUNCT
bracis-28354	142	1	as	as	ADP
bracis-28354	142	2	an	an	DET
bracis-28354	142	3	illustrative	illustrative	ADJ
bracis-28354	142	4	example	example	NOUN
bracis-28354	142	5	,	,	PUNCT
bracis-28354	142	6	let	let	VERB
bracis-28354	142	7	\(\vargamma	\(\vargamma	PROPN
bracis-28354	142	8	\	\	PROPN
bracis-28354	142	9	)	)	PUNCT
bracis-28354	142	10	be	be	AUX
bracis-28354	142	11	\(\{z_1	\(\{z_1	ADJ
bracis-28354	142	12	=	=	SYM
bracis-28354	142	13	2	2	NUM
bracis-28354	142	14	,	,	PUNCT
bracis-28354	142	15	z_2	z_2	PROPN
bracis-28354	142	16	\ge	\ge	PROPN
bracis-28354	142	17	1\}\	1\}\	NUM
bracis-28354	142	18	)	)	PUNCT
bracis-28354	142	19	and	and	CCONJ
bracis-28354	142	20	\(\varphi	\(\varphi	PROPN
bracis-28354	142	21	\	\	NOUN
bracis-28354	142	22	)	)	PUNCT
bracis-28354	142	23	be	be	AUX
bracis-28354	142	24	\((2.5z_1	\((2.5z_1	PROPN
bracis-28354	143	1	+	+	CCONJ
bracis-28354	143	2	z_2	z_2	PROPN
bracis-28354	143	3	\ge	\ge	PROPN
bracis-28354	143	4	5	5	NUM
bracis-28354	143	5	)	)	PUNCT
bracis-28354	143	6	\wedge	\wedge	PROPN
bracis-28354	143	7	(	(	PUNCT
bracis-28354	143	8	z_1=1	z_1=1	X
bracis-28354	143	9	\vee	\vee	PROPN
bracis-28354	143	10	z_1=2)\	z_1=2)\	NUM
bracis-28354	143	11	)	)	PUNCT
bracis-28354	143	12	.	.	PUNCT
bracis-28354	144	1	then	then	ADV
bracis-28354	144	2	,	,	PUNCT
bracis-28354	144	3	\(\vargamma	\(\vargamma	PROPN
bracis-28354	144	4	\,\models	\,\model	VERB
bracis-28354	144	5	\,\varphi	\,\varphi	VERB
bracis-28354	144	6	\	\	NOUN
bracis-28354	144	7	)	)	PUNCT
bracis-28354	144	8	since	since	SCONJ
bracis-28354	144	9	each	each	DET
bracis-28354	144	10	satisfying	satisfy	VERB
bracis-28354	144	11	assignment	assignment	NOUN
bracis-28354	144	12	for	for	ADP
bracis-28354	144	13	all	all	DET
bracis-28354	144	14	formulas	formula	NOUN
bracis-28354	144	15	in	in	ADP
bracis-28354	144	16	\(\vargamma	\(\vargamma	PROPN
bracis-28354	144	17	\	\	PROPN
bracis-28354	144	18	)	)	PUNCT
bracis-28354	144	19	is	be	AUX
bracis-28354	144	20	also	also	ADV
bracis-28354	144	21	a	a	DET
bracis-28354	144	22	satisfying	satisfying	ADJ
bracis-28354	144	23	assignment	assignment	NOUN
bracis-28354	144	24	for	for	ADP
bracis-28354	144	25	\(\varphi	\(\varphi	PROPN
bracis-28354	144	26	\	\	NOUN
bracis-28354	144	27	)	)	PUNCT
bracis-28354	144	28	.	.	PUNCT
bracis-28354	145	1	moreover	moreover	ADV
bracis-28354	145	2	,	,	PUNCT
bracis-28354	145	3	it	it	PRON
bracis-28354	145	4	is	be	AUX
bracis-28354	145	5	widely	widely	ADV
bracis-28354	145	6	known	know	VERB
bracis-28354	145	7	that	that	SCONJ
bracis-28354	145	8	,	,	PUNCT
bracis-28354	145	9	for	for	ADP
bracis-28354	145	10	all	all	DET
bracis-28354	145	11	sets	set	NOUN
bracis-28354	145	12	of	of	ADP
bracis-28354	145	13	formulas	formula	NOUN
bracis-28354	145	14	\(\vargamma	\(\vargamma	PROPN
bracis-28354	145	15	\	\	PROPN
bracis-28354	145	16	)	)	PUNCT
bracis-28354	145	17	and	and	CCONJ
bracis-28354	145	18	all	all	DET
bracis-28354	145	19	formulas	formula	NOUN
bracis-28354	145	20	\(\varphi	\(\varphi	ADJ
bracis-28354	145	21	\	\	NOUN
bracis-28354	145	22	)	)	PUNCT
bracis-28354	145	23	,	,	PUNCT
bracis-28354	145	24	$	$	SYM
bracis-28354	145	25	$	$	SYM
bracis-28354	145	26	\begin{aligned	\begin{aligne	VERB
bracis-28354	145	27	}	}	PUNCT
bracis-28354	145	28	\begin{aligned	\begin{aligne	VERB
bracis-28354	145	29	}	}	PUNCT
bracis-28354	145	30	\vargamma	\vargamma	PROPN
bracis-28354	145	31	\,\models	\,\model	NOUN
bracis-28354	145	32	\,\varphi	\,\varphi	VERB
bracis-28354	145	33	\text	\text	PROPN
bracis-28354	145	34	{	{	PUNCT
bracis-28354	145	35	iff	iff	PROPN
bracis-28354	145	36	}	}	PUNCT
bracis-28354	145	37	\vargamma	\vargamma	PROPN
bracis-28354	145	38	\cup	\cup	VERB
bracis-28354	145	39	\{\lnot	\{\lnot	ADV
bracis-28354	145	40	\varphi	\varphi	PROPN
bracis-28354	145	41	\	\	NOUN
bracis-28354	145	42	}	}	PUNCT
bracis-28354	145	43	\text	\text	ADV
bracis-28354	145	44	{	{	PUNCT
bracis-28354	145	45	is	be	AUX
bracis-28354	145	46	unsatisfiable	unsatisfiable	ADJ
bracis-28354	145	47	.	.	PUNCT
bracis-28354	145	48	}	}	PUNCT
bracis-28354	145	49	\end{aligned	\end{aligne	VERB
bracis-28354	145	50	}	}	PUNCT
bracis-28354	145	51	\end{aligned}$$	\end{aligned}$$	X
bracis-28354	145	52	(	(	PUNCT
bracis-28354	145	53	9	9	NUM
bracis-28354	145	54	)	)	PUNCT
bracis-28354	145	55	for	for	ADP
bracis-28354	145	56	instance	instance	NOUN
bracis-28354	145	57	,	,	PUNCT
bracis-28354	145	58	\(\	\(\	ADP
bracis-28354	145	59	{	{	PUNCT
bracis-28354	145	60	z_1	z_1	NOUN
bracis-28354	145	61	=	=	SYM
bracis-28354	145	62	2	2	NUM
bracis-28354	145	63	,	,	PUNCT
bracis-28354	145	64	z_2	z_2	PROPN
bracis-28354	145	65	\ge	\ge	PROPN
bracis-28354	145	66	1	1	NUM
bracis-28354	145	67	,	,	PUNCT
bracis-28354	145	68	\lnot	\lnot	INTJ
bracis-28354	145	69	(	(	PUNCT
bracis-28354	145	70	(	(	PUNCT
bracis-28354	145	71	2.5z_1	2.5z_1	NUM
bracis-28354	145	72	+	+	PROPN
bracis-28354	145	73	z_2	z_2	PROPN
bracis-28354	145	74	\ge	\ge	PROPN
bracis-28354	145	75	5	5	NUM
bracis-28354	145	76	)	)	PUNCT
bracis-28354	145	77	\wedge	\wedge	PROPN
bracis-28354	145	78	(	(	PUNCT
bracis-28354	145	79	z_1=1	z_1=1	PROPN
bracis-28354	145	80	\vee	\vee	PROPN
bracis-28354	145	81	z_1=2	z_1=2	NUM
bracis-28354	145	82	)	)	PUNCT
bracis-28354	145	83	)	)	PUNCT
bracis-28354	145	84	\}\	\}\	NOUN
bracis-28354	145	85	)	)	PUNCT
bracis-28354	145	86	has	have	VERB
bracis-28354	145	87	no	no	DET
bracis-28354	145	88	satisfying	satisfying	ADJ
bracis-28354	145	89	assignment	assignment	NOUN
bracis-28354	145	90	since	since	SCONJ
bracis-28354	145	91	an	an	DET
bracis-28354	145	92	assignment	assignment	NOUN
bracis-28354	145	93	that	that	SCONJ
bracis-28354	145	94	satisfies	satisfy	VERB
bracis-28354	145	95	\((z_1	\((z_1	PROPN
bracis-28354	145	96	=	=	SYM
bracis-28354	145	97	2	2	NUM
bracis-28354	145	98	\wedge	\wedge	PROPN
bracis-28354	145	99	z_2	z_2	PROPN
bracis-28354	145	100	\ge	\ge	PROPN
bracis-28354	145	101	1)\	1)\	NUM
bracis-28354	145	102	)	)	PUNCT
bracis-28354	145	103	also	also	ADV
bracis-28354	145	104	satisfies	satisfy	VERB
bracis-28354	145	105	\((2.5z_1	\((2.5z_1	PROPN
bracis-28354	145	106	+	+	CCONJ
bracis-28354	145	107	z_2	z_2	PROPN
bracis-28354	145	108	\ge	\ge	PROPN
bracis-28354	145	109	5	5	NUM
bracis-28354	145	110	)	)	PUNCT
bracis-28354	145	111	\wedge	\wedge	PROPN
bracis-28354	145	112	(	(	PUNCT
bracis-28354	145	113	z_1=1	z_1=1	PROPN
bracis-28354	145	114	\vee	\vee	PROPN
bracis-28354	145	115	z_1=2)\	z_1=2)\	NUM
bracis-28354	145	116	)	)	PUNCT
bracis-28354	145	117	and	and	CCONJ
bracis-28354	145	118	,	,	PUNCT
bracis-28354	145	119	therefore	therefore	ADV
bracis-28354	145	120	,	,	PUNCT
bracis-28354	145	121	does	do	AUX
bracis-28354	145	122	not	not	PART
bracis-28354	145	123	satisfy	satisfy	VERB
bracis-28354	145	124	\(\lnot	\(\lnot	ADV
bracis-28354	145	125	(	(	PUNCT
bracis-28354	145	126	(	(	PUNCT
bracis-28354	145	127	2.5z_1	2.5z_1	NUM
bracis-28354	145	128	+	+	PROPN
bracis-28354	145	129	z_2	z_2	PROPN
bracis-28354	145	130	\ge	\ge	PROPN
bracis-28354	145	131	5	5	NUM
bracis-28354	145	132	)	)	PUNCT
bracis-28354	145	133	\wedge	\wedge	PROPN
bracis-28354	145	134	(	(	PUNCT
bracis-28354	145	135	z_1=1	z_1=1	PROPN
bracis-28354	145	136	\vee	\vee	PROPN
bracis-28354	145	137	z_1=2))\	z_1=2))\	NUM
bracis-28354	145	138	)	)	PUNCT
bracis-28354	145	139	.	.	PUNCT
bracis-28354	146	1	finally	finally	ADV
bracis-28354	146	2	,	,	PUNCT
bracis-28354	146	3	we	we	PRON
bracis-28354	146	4	say	say	VERB
bracis-28354	146	5	that	that	SCONJ
bracis-28354	146	6	two	two	NUM
bracis-28354	146	7	first	first	ADJ
bracis-28354	146	8	-	-	PUNCT
bracis-28354	146	9	order	order	NOUN
bracis-28354	146	10	formulas	formula	NOUN
bracis-28354	146	11	\(\varphi	\(\varphi	NOUN
bracis-28354	146	12	\	\	NOUN
bracis-28354	146	13	)	)	PUNCT
bracis-28354	146	14	and	and	CCONJ
bracis-28354	146	15	\(\psi	\(\psi	VERB
bracis-28354	146	16	\	\	NOUN
bracis-28354	146	17	)	)	PUNCT
bracis-28354	146	18	are	be	AUX
bracis-28354	146	19	equivalent	equivalent	ADJ
bracis-28354	146	20	if	if	SCONJ
bracis-28354	146	21	,	,	PUNCT
bracis-28354	146	22	for	for	ADP
bracis-28354	146	23	each	each	DET
bracis-28354	146	24	assignment	assignment	NOUN
bracis-28354	146	25	\(\mathcal	\(\mathcal	ADJ
bracis-28354	146	26	{	{	PUNCT
bracis-28354	146	27	a}\	a}\	NUM
bracis-28354	146	28	)	)	PUNCT
bracis-28354	146	29	,	,	PUNCT
bracis-28354	146	30	both	both	PRON
bracis-28354	146	31	\(\varphi	\(\varphi	ADJ
bracis-28354	146	32	\	\	NOUN
bracis-28354	146	33	)	)	PUNCT
bracis-28354	146	34	and	and	CCONJ
bracis-28354	146	35	\(\psi	\(\psi	VERB
bracis-28354	146	36	\	\	NOUN
bracis-28354	146	37	)	)	PUNCT
bracis-28354	146	38	are	be	AUX
bracis-28354	146	39	true	true	ADJ
bracis-28354	146	40	under	under	ADP
bracis-28354	146	41	\(\mathcal	\(\mathcal	ADJ
bracis-28354	146	42	{	{	PUNCT
bracis-28354	146	43	a}\	a}\	NUM
bracis-28354	146	44	)	)	PUNCT
bracis-28354	146	45	or	or	CCONJ
bracis-28354	146	46	both	both	PRON
bracis-28354	146	47	are	be	AUX
bracis-28354	146	48	false	false	ADJ
bracis-28354	146	49	under	under	ADP
bracis-28354	146	50	\(\mathcal	\(\mathcal	ADJ
bracis-28354	146	51	{	{	PUNCT
bracis-28354	146	52	a}\	a}\	NUM
bracis-28354	146	53	)	)	PUNCT
bracis-28354	146	54	.	.	PUNCT
bracis-28354	147	1	we	we	PRON
bracis-28354	147	2	use	use	VERB
bracis-28354	147	3	the	the	DET
bracis-28354	147	4	notation	notation	NOUN
bracis-28354	147	5	\(\varphi	\(\varphi	PROPN
bracis-28354	147	6	\equiv	\equiv	ADP
bracis-28354	147	7	\psi	\psi	PROPN
bracis-28354	147	8	\	\	NOUN
bracis-28354	147	9	)	)	PUNCT
bracis-28354	147	10	to	to	PART
bracis-28354	147	11	represent	represent	VERB
bracis-28354	147	12	that	that	PRON
bracis-28354	147	13	\(\varphi	\(\varphi	PUNCT
bracis-28354	147	14	\	\	NOUN
bracis-28354	147	15	)	)	PUNCT
bracis-28354	147	16	and	and	CCONJ
bracis-28354	147	17	\(\psi	\(\psi	VERB
bracis-28354	147	18	\	\	NOUN
bracis-28354	147	19	)	)	PUNCT
bracis-28354	147	20	are	be	AUX
bracis-28354	147	21	equivalent	equivalent	ADJ
bracis-28354	147	22	.	.	PUNCT
bracis-28354	148	1	for	for	ADP
bracis-28354	148	2	example	example	NOUN
bracis-28354	148	3	,	,	PUNCT
bracis-28354	148	4	\(\lnot	\(\lnot	X
bracis-28354	148	5	(	(	PUNCT
bracis-28354	148	6	(	(	PUNCT
bracis-28354	148	7	z_1	z_1	PROPN
bracis-28354	148	8	+	+	PROPN
bracis-28354	148	9	z_2	z_2	PROPN
bracis-28354	148	10	\le	\le	PROPN
bracis-28354	148	11	2	2	NUM
bracis-28354	148	12	)	)	PUNCT
bracis-28354	148	13	\wedge	\wedge	PROPN
bracis-28354	148	14	z_1	z_1	PROPN
bracis-28354	148	15	\ge	\ge	PROPN
bracis-28354	148	16	1)\	1)\	NUM
bracis-28354	148	17	)	)	PUNCT
bracis-28354	148	18	is	be	AUX
bracis-28354	148	19	equivalent	equivalent	ADJ
bracis-28354	148	20	to	to	PART
bracis-28354	148	21	\((\lnot	\((\lnot	PROPN
bracis-28354	148	22	(	(	PUNCT
bracis-28354	148	23	z_1	z_1	PROPN
bracis-28354	149	1	+	+	CCONJ
bracis-28354	149	2	z_2	z_2	PROPN
bracis-28354	149	3	\le	\le	PROPN
bracis-28354	149	4	2	2	NUM
bracis-28354	149	5	)	)	PUNCT
bracis-28354	149	6	\vee	\vee	PROPN
bracis-28354	149	7	\lnot	\lnot	PROPN
bracis-28354	149	8	(	(	PUNCT
bracis-28354	149	9	z_1	z_1	PROPN
bracis-28354	149	10	\ge	\ge	PROPN
bracis-28354	149	11	1))\	1))\	NUM
bracis-28354	149	12	)	)	PUNCT
bracis-28354	149	13	.	.	PUNCT
bracis-28354	150	1	besides	besides	ADV
bracis-28354	150	2	,	,	PUNCT
bracis-28354	150	3	these	these	DET
bracis-28354	150	4	formulas	formula	NOUN
bracis-28354	150	5	are	be	AUX
bracis-28354	150	6	equivalent	equivalent	ADJ
bracis-28354	150	7	to	to	ADP
bracis-28354	150	8	\(((z_1	\(((z_1	VERB
bracis-28354	150	9	+	+	CCONJ
bracis-28354	150	10	z_2	z_2	PROPN
bracis-28354	150	11	>	>	X
bracis-28354	150	12	2	2	PROPN
bracis-28354	150	13	)	)	PUNCT
bracis-28354	150	14	\wedge	\wedge	PROPN
bracis-28354	150	15	z_1	z_1	PROPN
bracis-28354	150	16	<	<	X
bracis-28354	150	17	1)\	1)\	NUM
bracis-28354	150	18	)	)	PUNCT
bracis-28354	150	19	.	.	PUNCT
bracis-28354	151	1	2.5	2.5	NUM
bracis-28354	151	2	xai	xai	PROPN
bracis-28354	151	3	and	and	CCONJ
bracis-28354	151	4	 	 	SPACE
bracis-28354	151	5	related	relate	VERB
bracis-28354	151	6	work	work	NOUN
bracis-28354	151	7	some	some	DET
bracis-28354	151	8	ml	ml	NOUN
bracis-28354	151	9	models	model	NOUN
bracis-28354	151	10	are	be	AUX
bracis-28354	151	11	able	able	ADJ
bracis-28354	151	12	to	to	PART
bracis-28354	151	13	be	be	AUX
bracis-28354	151	14	interpreted	interpret	VERB
bracis-28354	151	15	by	by	ADP
bracis-28354	151	16	nature	nature	NOUN
bracis-28354	151	17	,	,	PUNCT
bracis-28354	151	18	such	such	ADJ
bracis-28354	151	19	as	as	ADP
bracis-28354	151	20	decision	decision	NOUN
bracis-28354	151	21	trees	tree	NOUN
bracis-28354	151	22	[	[	X
bracis-28354	151	23	18	18	NUM
bracis-28354	151	24	]	]	PUNCT
bracis-28354	151	25	.	.	PUNCT
bracis-28354	152	1	others	other	NOUN
bracis-28354	152	2	,	,	PUNCT
bracis-28354	152	3	such	such	ADJ
bracis-28354	152	4	as	as	ADP
bracis-28354	152	5	neural	neural	ADJ
bracis-28354	152	6	networks	network	NOUN
bracis-28354	152	7	and	and	CCONJ
bracis-28354	152	8	boosted	boost	VERB
bracis-28354	152	9	trees	tree	NOUN
bracis-28354	152	10	,	,	PUNCT
bracis-28354	152	11	have	have	VERB
bracis-28354	152	12	harder	hard	ADJ
bracis-28354	152	13	-	-	PUNCT
bracis-28354	152	14	to	to	PART
bracis-28354	152	15	-	-	PUNCT
bracis-28354	152	16	explain	explain	VERB
bracis-28354	152	17	outputs	output	NOUN
bracis-28354	152	18	,	,	PUNCT
bracis-28354	152	19	leading	lead	VERB
bracis-28354	152	20	to	to	ADP
bracis-28354	152	21	the	the	DET
bracis-28354	152	22	use	use	NOUN
bracis-28354	152	23	of	of	ADP
bracis-28354	152	24	specific	specific	ADJ
bracis-28354	152	25	methods	method	NOUN
bracis-28354	152	26	to	to	PART
bracis-28354	152	27	get	get	VERB
bracis-28354	152	28	some	some	DET
bracis-28354	152	29	degree	degree	NOUN
bracis-28354	152	30	of	of	ADP
bracis-28354	152	31	explanation	explanation	NOUN
bracis-28354	152	32	 	 	SPACE
bracis-28354	153	1	[	[	X
bracis-28354	153	2	10	10	NUM
bracis-28354	153	3	]	]	PUNCT
bracis-28354	153	4	.	.	PUNCT
bracis-28354	154	1	one	one	NUM
bracis-28354	154	2	of	of	ADP
bracis-28354	154	3	the	the	DET
bracis-28354	154	4	most	most	ADV
bracis-28354	154	5	predominant	predominant	ADJ
bracis-28354	154	6	ways	way	NOUN
bracis-28354	154	7	to	to	PART
bracis-28354	154	8	achieve	achieve	VERB
bracis-28354	154	9	this	this	PRON
bracis-28354	154	10	is	be	AUX
bracis-28354	154	11	through	through	ADP
bracis-28354	154	12	the	the	DET
bracis-28354	154	13	use	use	NOUN
bracis-28354	154	14	of	of	ADP
bracis-28354	154	15	heuristic	heuristic	ADJ
bracis-28354	154	16	methods	method	NOUN
bracis-28354	154	17	for	for	ADP
bracis-28354	154	18	generating	generate	VERB
bracis-28354	154	19	instance	instance	NOUN
bracis-28354	154	20	-	-	PUNCT
bracis-28354	154	21	dependent	dependent	ADJ
bracis-28354	154	22	explanations	explanation	NOUN
bracis-28354	154	23	,	,	PUNCT
bracis-28354	154	24	which	which	PRON
bracis-28354	154	25	can	can	AUX
bracis-28354	154	26	be	be	AUX
bracis-28354	154	27	defined	define	VERB
bracis-28354	154	28	as	as	ADP
bracis-28354	154	29	a	a	DET
bracis-28354	154	30	local	local	ADJ
bracis-28354	154	31	approach	approach	NOUN
bracis-28354	154	32	.	.	PUNCT
bracis-28354	155	1	these	these	DET
bracis-28354	155	2	analyze	analyze	VERB
bracis-28354	155	3	and	and	CCONJ
bracis-28354	155	4	explore	explore	VERB
bracis-28354	155	5	the	the	DET
bracis-28354	155	6	sub	sub	ADJ
bracis-28354	155	7	-	-	NOUN
bracis-28354	155	8	space	space	ADJ
bracis-28354	155	9	close	close	NOUN
bracis-28354	155	10	to	to	ADP
bracis-28354	155	11	the	the	DET
bracis-28354	155	12	given	give	VERB
bracis-28354	155	13	instance	instance	NOUN
bracis-28354	155	14	 	 	SPACE
bracis-28354	156	1	[	[	X
bracis-28354	156	2	7	7	NUM
bracis-28354	156	3	,	,	PUNCT
bracis-28354	156	4	10	10	NUM
bracis-28354	156	5	]	]	PUNCT
bracis-28354	156	6	.	.	PUNCT
bracis-28354	157	1	some	some	PRON
bracis-28354	157	2	of	of	ADP
bracis-28354	157	3	the	the	DET
bracis-28354	157	4	most	most	ADV
bracis-28354	157	5	well	well	ADV
bracis-28354	157	6	-	-	PUNCT
bracis-28354	157	7	known	know	VERB
bracis-28354	157	8	heuristic	heuristic	ADJ
bracis-28354	157	9	methods	method	NOUN
bracis-28354	157	10	are	be	AUX
bracis-28354	157	11	lime	lime	NOUN
bracis-28354	157	12	,	,	PUNCT
bracis-28354	157	13	shap	shap	NOUN
bracis-28354	157	14	,	,	PUNCT
bracis-28354	157	15	and	and	CCONJ
bracis-28354	157	16	anchors	anchor	NOUN
bracis-28354	157	17	.	.	PUNCT
bracis-28354	158	1	these	these	DET
bracis-28354	158	2	approaches	approach	NOUN
bracis-28354	158	3	are	be	AUX
bracis-28354	158	4	model	model	ADJ
bracis-28354	158	5	-	-	ADJ
bracis-28354	158	6	agnostic	agnostic	ADJ
bracis-28354	158	7	,	,	PUNCT
bracis-28354	158	8	generating	generate	VERB
bracis-28354	158	9	local	local	ADJ
bracis-28354	158	10	explanations	explanation	NOUN
bracis-28354	158	11	while	while	SCONJ
bracis-28354	158	12	not	not	PART
bracis-28354	158	13	taking	take	VERB
bracis-28354	158	14	into	into	ADP
bracis-28354	158	15	account	account	NOUN
bracis-28354	158	16	the	the	DET
bracis-28354	158	17	instance	instance	NOUN
bracis-28354	158	18	space	space	NOUN
bracis-28354	158	19	as	as	ADP
bracis-28354	158	20	a	a	DET
bracis-28354	158	21	whole	whole	NOUN
bracis-28354	159	1	[	[	X
bracis-28354	159	2	15	15	NUM
bracis-28354	159	3	,	,	PUNCT
bracis-28354	159	4	18	18	NUM
bracis-28354	159	5	,	,	PUNCT
bracis-28354	159	6	19	19	NUM
bracis-28354	159	7	]	]	PUNCT
bracis-28354	159	8	.	.	PUNCT
bracis-28354	160	1	this	this	PRON
bracis-28354	160	2	,	,	PUNCT
bracis-28354	160	3	in	in	ADP
bracis-28354	160	4	turn	turn	NOUN
bracis-28354	160	5	,	,	PUNCT
bracis-28354	160	6	allows	allow	VERB
bracis-28354	160	7	the	the	DET
bracis-28354	160	8	explanations	explanation	NOUN
bracis-28354	160	9	to	to	PART
bracis-28354	160	10	fail	fail	VERB
bracis-28354	160	11	when	when	SCONJ
bracis-28354	160	12	applied	apply	VERB
bracis-28354	160	13	,	,	PUNCT
bracis-28354	160	14	since	since	SCONJ
bracis-28354	160	15	they	they	PRON
bracis-28354	160	16	can	can	AUX
bracis-28354	160	17	be	be	AUX
bracis-28354	160	18	consistent	consistent	ADJ
bracis-28354	160	19	with	with	ADP
bracis-28354	160	20	instances	instance	NOUN
bracis-28354	160	21	predicted	predict	VERB
bracis-28354	160	22	in	in	ADP
bracis-28354	160	23	different	different	ADJ
bracis-28354	160	24	classes	class	NOUN
bracis-28354	160	25	.	.	PUNCT
bracis-28354	161	1	moreover	moreover	ADV
bracis-28354	161	2	,	,	PUNCT
bracis-28354	161	3	they	they	PRON
bracis-28354	161	4	can	can	AUX
bracis-28354	161	5	include	include	VERB
bracis-28354	161	6	irrelevant	irrelevant	ADJ
bracis-28354	161	7	elements	element	NOUN
bracis-28354	161	8	which	which	PRON
bracis-28354	161	9	could	could	AUX
bracis-28354	161	10	be	be	AUX
bracis-28354	161	11	otherwise	otherwise	ADV
bracis-28354	161	12	removed	remove	VERB
bracis-28354	161	13	while	while	SCONJ
bracis-28354	161	14	still	still	ADV
bracis-28354	161	15	maintaining	maintain	VERB
bracis-28354	161	16	the	the	DET
bracis-28354	161	17	correctness	correctness	NOUN
bracis-28354	161	18	of	of	ADP
bracis-28354	161	19	the	the	DET
bracis-28354	161	20	answer	answer	NOUN
bracis-28354	161	21	 	 	SPACE
bracis-28354	162	1	[	[	X
bracis-28354	162	2	10	10	NUM
bracis-28354	162	3	]	]	PUNCT
bracis-28354	162	4	.	.	PUNCT
bracis-28354	163	1	explanations	explanation	NOUN
bracis-28354	163	2	with	with	ADP
bracis-28354	163	3	irrelevant	irrelevant	ADJ
bracis-28354	163	4	elements	element	NOUN
bracis-28354	163	5	may	may	AUX
bracis-28354	163	6	be	be	AUX
bracis-28354	163	7	harder	hard	ADJ
bracis-28354	163	8	to	to	PART
bracis-28354	163	9	understand	understand	VERB
bracis-28354	163	10	.	.	PUNCT
bracis-28354	164	1	anchors	anchor	NOUN
bracis-28354	164	2	have	have	AUX
bracis-28354	164	3	been	be	AUX
bracis-28354	164	4	shown	show	VERB
bracis-28354	164	5	as	as	ADP
bracis-28354	164	6	a	a	DET
bracis-28354	164	7	superior	superior	ADJ
bracis-28354	164	8	version	version	NOUN
bracis-28354	164	9	to	to	ADP
bracis-28354	164	10	lime	lime	NOUN
bracis-28354	164	11	,	,	PUNCT
bracis-28354	164	12	having	have	VERB
bracis-28354	164	13	a	a	DET
bracis-28354	164	14	better	well	ADJ
bracis-28354	164	15	accuracy	accuracy	NOUN
bracis-28354	164	16	with	with	ADP
bracis-28354	164	17	the	the	DET
bracis-28354	164	18	resultant	resultant	NOUN
bracis-28354	164	19	explanations	explanation	NOUN
bracis-28354	164	20	 	 	SPACE
bracis-28354	164	21	[	[	X
bracis-28354	164	22	19	19	NUM
bracis-28354	164	23	]	]	PUNCT
bracis-28354	164	24	.	.	PUNCT
bracis-28354	165	1	the	the	DET
bracis-28354	165	2	explanations	explanation	NOUN
bracis-28354	165	3	obtained	obtain	VERB
bracis-28354	165	4	by	by	ADP
bracis-28354	165	5	anchors	anchor	NOUN
bracis-28354	165	6	are	be	AUX
bracis-28354	165	7	decision	decision	NOUN
bracis-28354	165	8	rules	rule	NOUN
bracis-28354	165	9	designed	design	VERB
bracis-28354	165	10	to	to	PART
bracis-28354	165	11	highlight	highlight	VERB
bracis-28354	165	12	which	which	DET
bracis-28354	165	13	parts	part	NOUN
bracis-28354	165	14	(	(	PUNCT
bracis-28354	165	15	features	feature	NOUN
bracis-28354	165	16	)	)	PUNCT
bracis-28354	165	17	of	of	ADP
bracis-28354	165	18	a	a	DET
bracis-28354	165	19	given	give	VERB
bracis-28354	165	20	instance	instance	NOUN
bracis-28354	165	21	are	be	AUX
bracis-28354	165	22	sufficient	sufficient	ADJ
bracis-28354	165	23	for	for	SCONJ
bracis-28354	165	24	a	a	DET
bracis-28354	165	25	classifier	classifier	NOUN
bracis-28354	165	26	to	to	PART
bracis-28354	165	27	make	make	VERB
bracis-28354	165	28	a	a	DET
bracis-28354	165	29	certain	certain	ADJ
bracis-28354	165	30	prediction	prediction	NOUN
bracis-28354	165	31	while	while	SCONJ
bracis-28354	165	32	being	be	AUX
bracis-28354	165	33	intuitive	intuitive	ADJ
bracis-28354	165	34	and	and	CCONJ
bracis-28354	165	35	easy	easy	ADJ
bracis-28354	165	36	to	to	PART
bracis-28354	165	37	understand	understand	VERB
bracis-28354	165	38	.	.	PUNCT
bracis-28354	166	1	for	for	ADP
bracis-28354	166	2	example	example	NOUN
bracis-28354	166	3	,	,	PUNCT
bracis-28354	166	4	consider	consider	VERB
bracis-28354	166	5	an	an	DET
bracis-28354	166	6	instance	instance	NOUN
bracis-28354	166	7	\(i	\(i	NOUN
bracis-28354	166	8	=	=	PUNCT
bracis-28354	166	9	\{\)sepal_length	\{\)sepal_length	NOUN
bracis-28354	166	10	\	\	PROPN
bracis-28354	166	11	(	(	PUNCT
bracis-28354	166	12	=	=	SYM
bracis-28354	166	13	5.0\	5.0\	NUM
bracis-28354	166	14	)	)	PUNCT
bracis-28354	166	15	,	,	PUNCT
bracis-28354	166	16	sepal_width	sepal_width	PROPN
bracis-28354	166	17	\	\	NOUN
bracis-28354	166	18	(	(	PUNCT
bracis-28354	166	19	=	=	SYM
bracis-28354	166	20	2.3\	2.3\	NUM
bracis-28354	166	21	)	)	PUNCT
bracis-28354	166	22	,	,	PUNCT
bracis-28354	166	23	petal_length	petal_length	NOUN
bracis-28354	166	24	\	\	PROPN
bracis-28354	166	25	(	(	PUNCT
bracis-28354	166	26	=	=	SYM
bracis-28354	166	27	3.3\	3.3\	NUM
bracis-28354	166	28	)	)	PUNCT
bracis-28354	166	29	,	,	PUNCT
bracis-28354	166	30	petal_width	petal_width	PROPN
bracis-28354	166	31	\	\	PROPN
bracis-28354	166	32	(	(	PUNCT
bracis-28354	166	33	=	=	SYM
bracis-28354	166	34	1.0\}\	1.0\}\	NUM
bracis-28354	166	35	)	)	PUNCT
bracis-28354	166	36	of	of	ADP
bracis-28354	166	37	the	the	DET
bracis-28354	166	38	well	well	ADV
bracis-28354	166	39	known	know	VERB
bracis-28354	166	40	iris	iris	NOUN
bracis-28354	166	41	dataset	dataset	NOUN
bracis-28354	166	42	predicted	predict	VERB
bracis-28354	166	43	as	as	ADP
bracis-28354	166	44	class	class	NOUN
bracis-28354	166	45	versicolor	versicolor	NOUN
bracis-28354	166	46	by	by	ADP
bracis-28354	166	47	a	a	DET
bracis-28354	166	48	classifier	classifier	NOUN
bracis-28354	166	49	\(\mathcal	\(\mathcal	ADJ
bracis-28354	166	50	{	{	PUNCT
bracis-28354	166	51	c}\	c}\	NUM
bracis-28354	166	52	)	)	PUNCT
bracis-28354	166	53	.	.	PUNCT
bracis-28354	167	1	an	an	DET
bracis-28354	167	2	example	example	NOUN
bracis-28354	167	3	of	of	ADP
bracis-28354	167	4	an	an	DET
bracis-28354	167	5	explanation	explanation	NOUN
bracis-28354	167	6	obtained	obtain	VERB
bracis-28354	167	7	by	by	ADP
bracis-28354	167	8	anchors	anchor	NOUN
bracis-28354	167	9	is	be	AUX
bracis-28354	167	10	the	the	DET
bracis-28354	167	11	decision	decision	NOUN
bracis-28354	167	12	rule	rule	NOUN
bracis-28354	167	13	:	:	PUNCT
bracis-28354	167	14	$	$	SYM
bracis-28354	167	15	$	$	SYM
bracis-28354	167	16	{	{	PUNCT
bracis-28354	167	17	\textbf	\textbf	PROPN
bracis-28354	167	18	{	{	PUNCT
bracis-28354	167	19	if	if	SCONJ
bracis-28354	167	20	}	}	PUNCT
bracis-28354	167	21	}	}	PUNCT
bracis-28354	167	22	{	{	PUNCT
bracis-28354	167	23	sepal\_width	sepal\_width	ADJ
bracis-28354	167	24	}	}	PUNCT
bracis-28354	167	25	\le	\le	NOUN
bracis-28354	167	26	2.8	2.8	NUM
bracis-28354	167	27	{	{	PUNCT
bracis-28354	167	28	\textbf	\textbf	PROPN
bracis-28354	167	29	{	{	PUNCT
bracis-28354	167	30	and	and	CCONJ
bracis-28354	167	31	}	}	PUNCT
bracis-28354	167	32	}	}	PUNCT
bracis-28354	167	33	{	{	PUNCT
bracis-28354	167	34	petal\_length	petal\_length	NOUN
bracis-28354	167	35	}	}	PUNCT
bracis-28354	167	36	>	>	X
bracis-28354	167	37	1.6	1.6	NUM
bracis-28354	167	38	{	{	PUNCT
bracis-28354	167	39	\textbf	\textbf	PROPN
bracis-28354	167	40	{	{	PUNCT
bracis-28354	167	41	then	then	ADV
bracis-28354	167	42	}	}	PUNCT
bracis-28354	167	43	}	}	PUNCT
bracis-28354	167	44	{	{	PUNCT
bracis-28354	167	45	versicolor}.$$	versicolor}.$$	VERB
bracis-28354	167	46	however	however	ADV
bracis-28354	167	47	,	,	PUNCT
bracis-28354	167	48	due	due	ADP
bracis-28354	167	49	to	to	ADP
bracis-28354	167	50	the	the	DET
bracis-28354	167	51	heuristic	heuristic	ADJ
bracis-28354	167	52	characteristic	characteristic	NOUN
bracis-28354	167	53	of	of	ADP
bracis-28354	167	54	anchors	anchor	NOUN
bracis-28354	167	55	,	,	PUNCT
bracis-28354	167	56	there	there	PRON
bracis-28354	167	57	is	be	VERB
bracis-28354	167	58	still	still	ADV
bracis-28354	167	59	room	room	NOUN
bracis-28354	167	60	for	for	ADP
bracis-28354	167	61	wrong	wrong	ADJ
bracis-28354	167	62	explanations	explanation	NOUN
bracis-28354	167	63	,	,	PUNCT
bracis-28354	167	64	which	which	PRON
bracis-28354	167	65	can	can	AUX
bracis-28354	167	66	lead	lead	VERB
bracis-28354	167	67	to	to	ADP
bracis-28354	167	68	cases	case	NOUN
bracis-28354	167	69	where	where	SCONJ
bracis-28354	167	70	,	,	PUNCT
bracis-28354	167	71	for	for	ADP
bracis-28354	167	72	the	the	DET
bracis-28354	167	73	same	same	ADJ
bracis-28354	167	74	set	set	NOUN
bracis-28354	167	75	of	of	ADP
bracis-28354	167	76	given	give	VERB
bracis-28354	167	77	rules	rule	NOUN
bracis-28354	167	78	,	,	PUNCT
bracis-28354	167	79	different	different	ADJ
bracis-28354	167	80	classes	class	NOUN
bracis-28354	167	81	are	be	AUX
bracis-28354	167	82	predicted	predict	VERB
bracis-28354	167	83	 	 	SPACE
bracis-28354	168	1	[	[	X
bracis-28354	168	2	10	10	NUM
bracis-28354	168	3	]	]	PUNCT
bracis-28354	168	4	.	.	PUNCT
bracis-28354	169	1	therefore	therefore	ADV
bracis-28354	169	2	,	,	PUNCT
bracis-28354	169	3	both	both	DET
bracis-28354	169	4	explanation	explanation	NOUN
bracis-28354	169	5	correctness	correctness	NOUN
bracis-28354	169	6	and	and	CCONJ
bracis-28354	169	7	size	size	NOUN
bracis-28354	169	8	can	can	AUX
bracis-28354	169	9	be	be	AUX
bracis-28354	169	10	set	set	VERB
bracis-28354	169	11	as	as	ADP
bracis-28354	169	12	of	of	ADP
bracis-28354	169	13	questionable	questionable	ADJ
bracis-28354	169	14	utility	utility	NOUN
bracis-28354	169	15	if	if	SCONJ
bracis-28354	169	16	they	they	PRON
bracis-28354	169	17	can	can	AUX
bracis-28354	169	18	not	not	PART
bracis-28354	169	19	be	be	AUX
bracis-28354	169	20	fully	fully	ADV
bracis-28354	169	21	relied	rely	VERB
bracis-28354	169	22	upon	upon	SCONJ
bracis-28354	169	23	.	.	PUNCT
bracis-28354	170	1	since	since	SCONJ
bracis-28354	170	2	heuristic	heuristic	NOUN
bracis-28354	170	3	-	-	PUNCT
bracis-28354	170	4	based	base	VERB
bracis-28354	170	5	explanations	explanation	NOUN
bracis-28354	170	6	are	be	AUX
bracis-28354	170	7	unreliable	unreliable	ADJ
bracis-28354	170	8	,	,	PUNCT
bracis-28354	170	9	logic	logic	NOUN
bracis-28354	170	10	-	-	PUNCT
bracis-28354	170	11	based	base	VERB
bracis-28354	170	12	approaches	approach	NOUN
bracis-28354	170	13	have	have	AUX
bracis-28354	170	14	been	be	AUX
bracis-28354	170	15	proposed	propose	VERB
bracis-28354	170	16	recently	recently	ADV
bracis-28354	170	17	for	for	ADP
bracis-28354	170	18	a	a	DET
bracis-28354	170	19	variety	variety	NOUN
bracis-28354	170	20	of	of	ADP
bracis-28354	170	21	ml	ml	NOUN
bracis-28354	170	22	models	model	NOUN
bracis-28354	170	23	[	[	X
bracis-28354	170	24	1	1	NUM
bracis-28354	170	25	,	,	PUNCT
bracis-28354	170	26	8	8	NUM
bracis-28354	170	27	,	,	PUNCT
bracis-28354	170	28	9	9	NUM
bracis-28354	170	29	,	,	PUNCT
bracis-28354	170	30	11	11	NUM
bracis-28354	170	31	,	,	PUNCT
bracis-28354	170	32	16	16	NUM
bracis-28354	170	33	]	]	PUNCT
bracis-28354	170	34	.	.	PUNCT
bracis-28354	171	1	logic	logic	NOUN
bracis-28354	171	2	-	-	PUNCT
bracis-28354	171	3	based	base	VERB
bracis-28354	171	4	approaches	approach	NOUN
bracis-28354	171	5	can	can	AUX
bracis-28354	171	6	guarantee	guarantee	VERB
bracis-28354	171	7	the	the	DET
bracis-28354	171	8	correctness	correctness	NOUN
bracis-28354	171	9	of	of	ADP
bracis-28354	171	10	explanations	explanation	NOUN
bracis-28354	171	11	,	,	PUNCT
bracis-28354	171	12	which	which	PRON
bracis-28354	171	13	makes	make	VERB
bracis-28354	171	14	them	they	PRON
bracis-28354	171	15	trustworthy	trustworthy	ADJ
bracis-28354	171	16	.	.	PUNCT
bracis-28354	172	1	although	although	SCONJ
bracis-28354	172	2	most	most	ADJ
bracis-28354	172	3	of	of	ADP
bracis-28354	172	4	the	the	DET
bracis-28354	172	5	related	related	ADJ
bracis-28354	172	6	work	work	NOUN
bracis-28354	172	7	on	on	ADP
bracis-28354	172	8	logic	logic	NOUN
bracis-28354	172	9	-	-	PUNCT
bracis-28354	172	10	based	base	VERB
bracis-28354	172	11	explanations	explanation	NOUN
bracis-28354	172	12	focused	focus	VERB
bracis-28354	172	13	on	on	ADP
bracis-28354	172	14	traditional	traditional	ADJ
bracis-28354	172	15	ml	ml	NOUN
bracis-28354	172	16	models	model	NOUN
bracis-28354	172	17	,	,	PUNCT
bracis-28354	172	18	there	there	PRON
bracis-28354	172	19	appears	appear	VERB
bracis-28354	172	20	to	to	PART
bracis-28354	172	21	be	be	AUX
bracis-28354	172	22	a	a	DET
bracis-28354	172	23	gap	gap	NOUN
bracis-28354	172	24	in	in	ADP
bracis-28354	172	25	the	the	DET
bracis-28354	172	26	literature	literature	NOUN
bracis-28354	172	27	regarding	regard	VERB
bracis-28354	172	28	the	the	DET
bracis-28354	172	29	provision	provision	NOUN
bracis-28354	172	30	of	of	ADP
bracis-28354	172	31	such	such	ADJ
bracis-28354	172	32	explanations	explanation	NOUN
bracis-28354	172	33	specifically	specifically	ADV
bracis-28354	172	34	in	in	ADP
bracis-28354	172	35	the	the	DET
bracis-28354	172	36	presence	presence	NOUN
bracis-28354	172	37	of	of	ADP
bracis-28354	172	38	ro	ro	PROPN
bracis-28354	172	39	.	.	PUNCT
bracis-28354	173	1	then	then	ADV
bracis-28354	173	2	,	,	PUNCT
bracis-28354	173	3	in	in	ADP
bracis-28354	173	4	this	this	DET
bracis-28354	173	5	work	work	NOUN
bracis-28354	173	6	we	we	PRON
bracis-28354	173	7	are	be	AUX
bracis-28354	173	8	considering	consider	VERB
bracis-28354	173	9	instance	instance	NOUN
bracis-28354	173	10	-	-	PUNCT
bracis-28354	173	11	based	base	VERB
bracis-28354	173	12	explanations	explanation	NOUN
bracis-28354	173	13	for	for	ADP
bracis-28354	173	14	linear	linear	PROPN
bracis-28354	173	15	svcs	svcs	PROPN
bracis-28354	173	16	with	with	ADP
bracis-28354	173	17	ro	ro	NOUN
bracis-28354	173	18	,	,	PUNCT
bracis-28354	173	19	i.e.	i.e.	X
bracis-28354	173	20	given	give	VERB
bracis-28354	173	21	a	a	DET
bracis-28354	173	22	trained	train	VERB
bracis-28354	173	23	linear	linear	NOUN
bracis-28354	173	24	svc	svc	PROPN
bracis-28354	173	25	with	with	ADP
bracis-28354	173	26	ro	ro	PROPN
bracis-28354	173	27	and	and	CCONJ
bracis-28354	173	28	an	an	DET
bracis-28354	173	29	instance	instance	NOUN
bracis-28354	173	30	\(i	\(i	NOUN
bracis-28354	173	31	=	=	SYM
bracis-28354	173	32	\{f_1	\{f_1	NOUN
bracis-28354	173	33	=	=	SYM
bracis-28354	173	34	x_1	x_1	PROPN
bracis-28354	173	35	,	,	PUNCT
bracis-28354	173	36	f_2	f_2	PROPN
bracis-28354	173	37	=	=	SYM
bracis-28354	173	38	x_2	x_2	PROPN
bracis-28354	173	39	,	,	PUNCT
bracis-28354	173	40	...	...	PUNCT
bracis-28354	173	41	,	,	PUNCT
bracis-28354	173	42	f_n	f_n	X
bracis-28354	173	43	=	=	SYM
bracis-28354	174	1	x_n\}\	x_n\}\	VERB
bracis-28354	174	2	)	)	PUNCT
bracis-28354	174	3	classified	classify	VERB
bracis-28354	174	4	as	as	ADP
bracis-28354	174	5	class	class	NOUN
bracis-28354	174	6	\(c	\(c	ADJ
bracis-28354	174	7	\in	\in	PROPN
bracis-28354	174	8	\{-1	\{-1	PROPN
bracis-28354	174	9	,	,	PUNCT
bracis-28354	174	10	+1	+1	PROPN
bracis-28354	174	11	,	,	PUNCT
bracis-28354	174	12	0\}\	0\}\	NOUN
bracis-28354	174	13	)	)	PUNCT
bracis-28354	174	14	,	,	PUNCT
bracis-28354	174	15	an	an	DET
bracis-28354	174	16	explanation	explanation	NOUN
bracis-28354	174	17	e	e	NOUN
bracis-28354	174	18	is	be	AUX
bracis-28354	174	19	a	a	DET
bracis-28354	174	20	subset	subset	NOUN
bracis-28354	174	21	of	of	ADP
bracis-28354	174	22	the	the	DET
bracis-28354	174	23	instance	instance	NOUN
bracis-28354	174	24	\(e	\(e	X
bracis-28354	174	25	\subseteq	\subseteq	PROPN
bracis-28354	174	26	i\	i\	PROPN
bracis-28354	174	27	)	)	PUNCT
bracis-28354	174	28	sufficient	sufficient	ADJ
bracis-28354	174	29	for	for	ADP
bracis-28354	174	30	the	the	DET
bracis-28354	174	31	prediction	prediction	NOUN
bracis-28354	174	32	c.	c.	NOUN
bracis-28354	174	33	therefore	therefore	ADV
bracis-28354	174	34	,	,	PUNCT
bracis-28354	174	35	by	by	ADP
bracis-28354	174	36	fixing	fix	VERB
bracis-28354	174	37	the	the	DET
bracis-28354	174	38	values	value	NOUN
bracis-28354	174	39	of	of	ADP
bracis-28354	174	40	the	the	DET
bracis-28354	174	41	features	feature	NOUN
bracis-28354	174	42	in	in	ADP
bracis-28354	174	43	e	e	NOUN
bracis-28354	174	44	,	,	PUNCT
bracis-28354	174	45	the	the	DET
bracis-28354	174	46	prediction	prediction	NOUN
bracis-28354	174	47	is	be	AUX
bracis-28354	174	48	guaranteed	guarantee	VERB
bracis-28354	174	49	to	to	PART
bracis-28354	174	50	be	be	AUX
bracis-28354	174	51	c	c	NOUN
bracis-28354	174	52	,	,	PUNCT
bracis-28354	174	53	regardless	regardless	ADV
bracis-28354	174	54	of	of	ADP
bracis-28354	174	55	the	the	DET
bracis-28354	174	56	values	value	NOUN
bracis-28354	174	57	of	of	ADP
bracis-28354	174	58	the	the	DET
bracis-28354	174	59	other	other	ADJ
bracis-28354	174	60	features	feature	NOUN
bracis-28354	174	61	.	.	PUNCT
bracis-28354	175	1	in	in	ADP
bracis-28354	175	2	other	other	ADJ
bracis-28354	175	3	words	word	NOUN
bracis-28354	175	4	,	,	PUNCT
bracis-28354	175	5	features	feature	NOUN
bracis-28354	175	6	in	in	ADP
bracis-28354	175	7	\(i	\(i	NOUN
bracis-28354	175	8	\setminus	\setminus	PROPN
bracis-28354	175	9	e\	e\	NOUN
bracis-28354	175	10	)	)	PUNCT
bracis-28354	175	11	may	may	AUX
bracis-28354	175	12	take	take	VERB
bracis-28354	175	13	any	any	DET
bracis-28354	175	14	value	value	NOUN
bracis-28354	175	15	in	in	ADP
bracis-28354	175	16	their	their	PRON
bracis-28354	175	17	respective	respective	ADJ
bracis-28354	175	18	domains	domain	NOUN
bracis-28354	175	19	without	without	ADP
bracis-28354	175	20	changing	change	VERB
bracis-28354	175	21	the	the	DET
bracis-28354	175	22	prediction	prediction	NOUN
bracis-28354	175	23	.	.	PUNCT
bracis-28354	176	1	moreover	moreover	ADV
bracis-28354	176	2	,	,	PUNCT
bracis-28354	176	3	since	since	SCONJ
bracis-28354	176	4	succinct	succinct	ADJ
bracis-28354	176	5	explanations	explanation	NOUN
bracis-28354	176	6	seem	seem	VERB
bracis-28354	176	7	easier	easy	ADJ
bracis-28354	176	8	to	to	PART
bracis-28354	176	9	understand	understand	VERB
bracis-28354	176	10	,	,	PUNCT
bracis-28354	176	11	one	one	PRON
bracis-28354	176	12	would	would	AUX
bracis-28354	176	13	like	like	VERB
bracis-28354	176	14	explanations	explanation	NOUN
bracis-28354	176	15	e	e	NOUN
bracis-28354	176	16	to	to	PART
bracis-28354	176	17	be	be	AUX
bracis-28354	176	18	minimal	minimal	ADJ
bracis-28354	176	19	,	,	PUNCT
bracis-28354	176	20	that	that	ADV
bracis-28354	176	21	is	is	ADV
bracis-28354	176	22	,	,	PUNCT
bracis-28354	176	23	for	for	ADP
bracis-28354	176	24	all	all	PRON
bracis-28354	176	25	subset	subset	ADJ
bracis-28354	176	26	\(e	\(e	NOUN
bracis-28354	176	27	'	'	PART
bracis-28354	176	28	\subset	\subset	PROPN
bracis-28354	176	29	e\	e\	NOUN
bracis-28354	176	30	)	)	PUNCT
bracis-28354	176	31	,	,	PUNCT
bracis-28354	176	32	it	it	PRON
bracis-28354	176	33	follows	follow	VERB
bracis-28354	176	34	that	that	PRON
bracis-28354	176	35	\(e'\	\(e'\	PROPN
bracis-28354	176	36	)	)	PUNCT
bracis-28354	176	37	does	do	AUX
bracis-28354	176	38	not	not	PART
bracis-28354	176	39	guarantee	guarantee	VERB
bracis-28354	176	40	the	the	DET
bracis-28354	176	41	same	same	ADJ
bracis-28354	176	42	prediction	prediction	NOUN
bracis-28354	176	43	.	.	PUNCT
bracis-28354	177	1	informally	informally	ADV
bracis-28354	177	2	,	,	PUNCT
bracis-28354	177	3	a	a	DET
bracis-28354	177	4	minimal	minimal	ADJ
bracis-28354	177	5	explanation	explanation	NOUN
bracis-28354	177	6	provides	provide	VERB
bracis-28354	177	7	an	an	DET
bracis-28354	177	8	irreducible	irreducible	ADJ
bracis-28354	177	9	explanation	explanation	NOUN
bracis-28354	177	10	that	that	PRON
bracis-28354	177	11	is	be	AUX
bracis-28354	177	12	sufficient	sufficient	ADJ
bracis-28354	177	13	for	for	ADP
bracis-28354	177	14	guaranteeing	guarantee	VERB
bracis-28354	177	15	the	the	DET
bracis-28354	177	16	prediction	prediction	NOUN
bracis-28354	177	17	.	.	PUNCT
bracis-28354	178	1	3	3	NUM
bracis-28354	178	2	linear	linear	PROPN
bracis-28354	178	3	svcs	svcs	PROPN
bracis-28354	178	4	may	may	AUX
bracis-28354	178	5	not	not	PART
bracis-28354	178	6	be	be	AUX
bracis-28354	178	7	instance	instance	NOUN
bracis-28354	178	8	-	-	PUNCT
bracis-28354	178	9	based	base	VERB
bracis-28354	178	10	interpretable	interpretable	ADJ
bracis-28354	178	11	efforts	effort	NOUN
bracis-28354	178	12	have	have	AUX
bracis-28354	178	13	been	be	AUX
bracis-28354	178	14	made	make	VERB
bracis-28354	178	15	to	to	PART
bracis-28354	178	16	bring	bring	VERB
bracis-28354	178	17	explanations	explanation	NOUN
bracis-28354	178	18	to	to	ADP
bracis-28354	178	19	linear	linear	PROPN
bracis-28354	178	20	svcs	svcs	PROPN
bracis-28354	178	21	prediction	prediction	PROPN
bracis-28354	178	22	outputs	output	NOUN
bracis-28354	178	23	.	.	PUNCT
bracis-28354	179	1	these	these	PRON
bracis-28354	179	2	have	have	AUX
bracis-28354	179	3	often	often	ADV
bracis-28354	179	4	been	be	AUX
bracis-28354	179	5	done	do	VERB
bracis-28354	179	6	through	through	ADP
bracis-28354	179	7	the	the	DET
bracis-28354	179	8	analysis	analysis	NOUN
bracis-28354	179	9	of	of	ADP
bracis-28354	179	10	the	the	DET
bracis-28354	179	11	weights	weight	NOUN
bracis-28354	179	12	that	that	PRON
bracis-28354	179	13	compose	compose	VERB
bracis-28354	179	14	the	the	DET
bracis-28354	179	15	decision	decision	NOUN
bracis-28354	179	16	function	function	NOUN
bracis-28354	179	17	,	,	PUNCT
bracis-28354	179	18	where	where	SCONJ
bracis-28354	179	19	the	the	DET
bracis-28354	179	20	most	most	ADV
bracis-28354	179	21	important	important	ADJ
bracis-28354	179	22	features	feature	NOUN
bracis-28354	179	23	are	be	AUX
bracis-28354	179	24	associated	associate	VERB
bracis-28354	179	25	with	with	ADP
bracis-28354	179	26	the	the	DET
bracis-28354	179	27	highest	high	ADJ
bracis-28354	179	28	weights	weight	NOUN
bracis-28354	179	29	 	 	SPACE
bracis-28354	179	30	[	[	X
bracis-28354	179	31	6	6	NUM
bracis-28354	179	32	]	]	PUNCT
bracis-28354	179	33	.	.	PUNCT
bracis-28354	180	1	however	however	ADV
bracis-28354	180	2	,	,	PUNCT
bracis-28354	180	3	this	this	PRON
bracis-28354	180	4	may	may	AUX
bracis-28354	180	5	not	not	PART
bracis-28354	180	6	be	be	AUX
bracis-28354	180	7	enough	enough	ADJ
bracis-28354	180	8	to	to	PART
bracis-28354	180	9	enable	enable	VERB
bracis-28354	180	10	correct	correct	ADJ
bracis-28354	180	11	interpretations	interpretation	NOUN
bracis-28354	180	12	.	.	PUNCT
bracis-28354	181	1	although	although	SCONJ
bracis-28354	181	2	feature	feature	NOUN
bracis-28354	181	3	weights	weight	NOUN
bracis-28354	181	4	can	can	AUX
bracis-28354	181	5	give	give	VERB
bracis-28354	181	6	a	a	DET
bracis-28354	181	7	rough	rough	ADJ
bracis-28354	181	8	indication	indication	NOUN
bracis-28354	181	9	of	of	ADP
bracis-28354	181	10	the	the	DET
bracis-28354	181	11	overall	overall	ADJ
bracis-28354	181	12	relevance	relevance	NOUN
bracis-28354	181	13	of	of	ADP
bracis-28354	181	14	features	feature	NOUN
bracis-28354	181	15	,	,	PUNCT
bracis-28354	181	16	they	they	PRON
bracis-28354	181	17	do	do	AUX
bracis-28354	181	18	not	not	PART
bracis-28354	181	19	offer	offer	VERB
bracis-28354	181	20	insight	insight	NOUN
bracis-28354	181	21	into	into	ADP
bracis-28354	181	22	the	the	DET
bracis-28354	181	23	local	local	ADJ
bracis-28354	181	24	decision	decision	NOUN
bracis-28354	181	25	-	-	PUNCT
bracis-28354	181	26	making	make	VERB
bracis-28354	181	27	process	process	NOUN
bracis-28354	181	28	for	for	ADP
bracis-28354	181	29	a	a	DET
bracis-28354	181	30	specific	specific	ADJ
bracis-28354	181	31	set	set	NOUN
bracis-28354	181	32	of	of	ADP
bracis-28354	181	33	instances	instance	NOUN
bracis-28354	181	34	 	 	SPACE
bracis-28354	181	35	[	[	X
bracis-28354	181	36	12	12	NUM
bracis-28354	181	37	]	]	PUNCT
bracis-28354	181	38	.	.	PUNCT
bracis-28354	182	1	assume	assume	VERB
bracis-28354	182	2	a	a	DET
bracis-28354	182	3	binary	binary	ADJ
bracis-28354	182	4	classification	classification	NOUN
bracis-28354	182	5	problem	problem	NOUN
bracis-28354	182	6	where	where	SCONJ
bracis-28354	182	7	\(\mathcal	\(\mathcal	ADJ
bracis-28354	182	8	{	{	PUNCT
bracis-28354	182	9	f	f	NOUN
bracis-28354	182	10	}	}	PUNCT
bracis-28354	182	11	=	=	SYM
bracis-28354	182	12	\{f_{1	\{f_{1	PROPN
bracis-28354	182	13	}	}	PUNCT
bracis-28354	182	14	,	,	PUNCT
bracis-28354	182	15	f_{2}\}\	f_{2}\}\	NOUN
bracis-28354	182	16	)	)	PUNCT
bracis-28354	182	17	,	,	PUNCT
bracis-28354	182	18	and	and	CCONJ
bracis-28354	182	19	a	a	DET
bracis-28354	182	20	linear	linear	NOUN
bracis-28354	182	21	svc	svc	NOUN
bracis-28354	182	22	where	where	SCONJ
bracis-28354	182	23	\(\textbf{w	\(\textbf{w	ADJ
bracis-28354	182	24	}	}	PUNCT
bracis-28354	182	25	=	=	SYM
bracis-28354	182	26	\{w_1	\{w_1	NOUN
bracis-28354	182	27	=	=	SYM
bracis-28354	182	28	-0.8	-0.8	ADJ
bracis-28354	182	29	,	,	PUNCT
bracis-28354	182	30	w_2	w_2	PROPN
bracis-28354	182	31	=	=	SYM
bracis-28354	182	32	2\}\	2\}\	NUM
bracis-28354	182	33	)	)	PUNCT
bracis-28354	182	34	and	and	CCONJ
bracis-28354	182	35	\(b	\(b	NOUN
bracis-28354	182	36	=	=	SYM
bracis-28354	182	37	0.05\	0.05\	PROPN
bracis-28354	182	38	)	)	PUNCT
bracis-28354	182	39	.	.	PUNCT
bracis-28354	183	1	the	the	DET
bracis-28354	183	2	features	feature	NOUN
bracis-28354	183	3	\(f_i\	\(f_i\	NOUN
bracis-28354	183	4	)	)	PUNCT
bracis-28354	183	5	can	can	AUX
bracis-28354	183	6	take	take	VERB
bracis-28354	183	7	values	value	NOUN
bracis-28354	183	8	in	in	ADP
bracis-28354	183	9	range	range	NOUN
bracis-28354	183	10	[	[	X
bracis-28354	183	11	0	0	NUM
bracis-28354	183	12	,	,	PUNCT
bracis-28354	183	13	 	 	SPACE
bracis-28354	183	14	1	1	NUM
bracis-28354	183	15	]	]	PUNCT
bracis-28354	183	16	.	.	PUNCT
bracis-28354	184	1	a	a	DET
bracis-28354	184	2	visual	visual	ADJ
bracis-28354	184	3	representation	representation	NOUN
bracis-28354	184	4	is	be	AUX
bracis-28354	184	5	depicted	depict	VERB
bracis-28354	184	6	in	in	ADP
bracis-28354	184	7	fig	fig	NOUN
bracis-28354	184	8	.	.	PUNCT
bracis-28354	184	9	 	 	SPACE
bracis-28354	185	1	1	1	X
bracis-28354	185	2	.	.	X
bracis-28354	185	3	analyzing	analyze	VERB
bracis-28354	185	4	solely	solely	ADV
bracis-28354	185	5	through	through	ADP
bracis-28354	185	6	the	the	DET
bracis-28354	185	7	values	value	NOUN
bracis-28354	185	8	of	of	ADP
bracis-28354	185	9	the	the	DET
bracis-28354	185	10	weights	weight	NOUN
bracis-28354	185	11	,	,	PUNCT
bracis-28354	185	12	it	it	PRON
bracis-28354	185	13	could	could	AUX
bracis-28354	185	14	be	be	AUX
bracis-28354	185	15	assumed	assume	VERB
bracis-28354	185	16	that	that	SCONJ
bracis-28354	185	17	the	the	DET
bracis-28354	185	18	feature	feature	NOUN
bracis-28354	185	19	\(f_{2}\	\(f_{2}\	NOUN
bracis-28354	185	20	)	)	PUNCT
bracis-28354	185	21	is	be	AUX
bracis-28354	185	22	determinant	determinant	ADJ
bracis-28354	185	23	and	and	CCONJ
bracis-28354	185	24	\(f_{1}\	\(f_{1}\	ADJ
bracis-28354	185	25	)	)	PUNCT
bracis-28354	185	26	is	be	AUX
bracis-28354	185	27	not	not	PART
bracis-28354	185	28	,	,	PUNCT
bracis-28354	185	29	since	since	SCONJ
bracis-28354	185	30	\(|w_2|	\(|w_2|	PROPN
bracis-28354	185	31	>	>	X
bracis-28354	185	32	|w_1|\	|w_1|\	NOUN
bracis-28354	185	33	)	)	PUNCT
bracis-28354	185	34	.	.	PUNCT
bracis-28354	186	1	this	this	PRON
bracis-28354	186	2	would	would	AUX
bracis-28354	186	3	mean	mean	VERB
bracis-28354	186	4	that	that	SCONJ
bracis-28354	186	5	,	,	PUNCT
bracis-28354	186	6	for	for	ADP
bracis-28354	186	7	any	any	DET
bracis-28354	186	8	instance	instance	NOUN
bracis-28354	186	9	,	,	PUNCT
bracis-28354	186	10	feature	feature	VERB
bracis-28354	186	11	\(f_2\	\(f_2\	PROPN
bracis-28354	186	12	)	)	PUNCT
bracis-28354	186	13	is	be	AUX
bracis-28354	186	14	more	more	ADV
bracis-28354	186	15	important	important	ADJ
bracis-28354	186	16	than	than	ADP
bracis-28354	186	17	feature	feature	NOUN
bracis-28354	186	18	\(f_1\	\(f_1\	PROPN
bracis-28354	186	19	)	)	PUNCT
bracis-28354	186	20	.	.	PUNCT
bracis-28354	187	1	however	however	ADV
bracis-28354	187	2	,	,	PUNCT
bracis-28354	187	3	for	for	ADP
bracis-28354	187	4	the	the	DET
bracis-28354	187	5	instance	instance	NOUN
bracis-28354	187	6	\(\{f_{1}=0.0526	\(\{f_{1}=0.0526	PROPN
bracis-28354	187	7	,	,	PUNCT
bracis-28354	187	8	f_2	f_2	NOUN
bracis-28354	187	9	=	=	SYM
bracis-28354	187	10	0.3\}\	0.3\}\	NOUN
bracis-28354	187	11	)	)	PUNCT
bracis-28354	187	12	predicted	predict	VERB
bracis-28354	187	13	as	as	ADP
bracis-28354	187	14	class	class	NOUN
bracis-28354	187	15	\(+1\	\(+1\	NOUN
bracis-28354	187	16	)	)	PUNCT
bracis-28354	187	17	,	,	PUNCT
bracis-28354	187	18	feature	feature	NOUN
bracis-28354	187	19	\(f_2\	\(f_2\	PROPN
bracis-28354	187	20	)	)	PUNCT
bracis-28354	187	21	is	be	AUX
bracis-28354	187	22	not	not	PART
bracis-28354	187	23	necessary	necessary	ADJ
bracis-28354	187	24	for	for	ADP
bracis-28354	187	25	the	the	DET
bracis-28354	187	26	prediction	prediction	NOUN
bracis-28354	187	27	,	,	PUNCT
bracis-28354	187	28	since	since	SCONJ
bracis-28354	187	29	for	for	ADP
bracis-28354	187	30	any	any	DET
bracis-28354	187	31	value	value	NOUN
bracis-28354	187	32	of	of	ADP
bracis-28354	187	33	\(f_{2}\	\(f_{2}\	NOUN
bracis-28354	187	34	)	)	PUNCT
bracis-28354	187	35	the	the	DET
bracis-28354	187	36	class	class	NOUN
bracis-28354	187	37	will	will	AUX
bracis-28354	187	38	not	not	PART
bracis-28354	187	39	change	change	VERB
bracis-28354	187	40	.	.	PUNCT
bracis-28354	188	1	therefore	therefore	ADV
bracis-28354	188	2	,	,	PUNCT
bracis-28354	188	3	feature	feature	NOUN
bracis-28354	188	4	\(f_1\	\(f_1\	PROPN
bracis-28354	188	5	)	)	PUNCT
bracis-28354	188	6	is	be	AUX
bracis-28354	188	7	sufficient	sufficient	ADJ
bracis-28354	188	8	for	for	ADP
bracis-28354	188	9	the	the	DET
bracis-28354	188	10	prediction	prediction	NOUN
bracis-28354	188	11	of	of	ADP
bracis-28354	188	12	this	this	DET
bracis-28354	188	13	instance	instance	NOUN
bracis-28354	188	14	.	.	PUNCT
bracis-28354	189	1	moreover	moreover	ADV
bracis-28354	189	2	,	,	PUNCT
bracis-28354	189	3	feature	feature	NOUN
bracis-28354	189	4	\(f_2\	\(f_2\	PROPN
bracis-28354	189	5	)	)	PUNCT
bracis-28354	189	6	is	be	AUX
bracis-28354	189	7	not	not	PART
bracis-28354	189	8	sufficient	sufficient	ADJ
bracis-28354	189	9	for	for	ADP
bracis-28354	189	10	the	the	DET
bracis-28354	189	11	prediction	prediction	NOUN
bracis-28354	189	12	of	of	ADP
bracis-28354	189	13	this	this	DET
bracis-28354	189	14	instance	instance	NOUN
bracis-28354	189	15	,	,	PUNCT
bracis-28354	189	16	since	since	SCONJ
bracis-28354	189	17	for	for	ADP
bracis-28354	189	18	\(f_1	\(f_1	PROPN
bracis-28354	189	19	=	=	SYM
bracis-28354	189	20	1.0\	1.0\	NUM
bracis-28354	189	21	)	)	PUNCT
bracis-28354	189	22	and	and	CCONJ
bracis-28354	189	23	\(f_2	\(f_2	PROPN
bracis-28354	189	24	=	=	SYM
bracis-28354	189	25	0.3\	0.3\	NUM
bracis-28354	189	26	)	)	PUNCT
bracis-28354	189	27	the	the	DET
bracis-28354	189	28	prediction	prediction	NOUN
bracis-28354	189	29	would	would	AUX
bracis-28354	189	30	change	change	VERB
bracis-28354	189	31	to	to	ADP
bracis-28354	189	32	\(-1\	\(-1\	NOUN
bracis-28354	189	33	)	)	PUNCT
bracis-28354	189	34	.	.	PUNCT
bracis-28354	190	1	therefore	therefore	ADV
bracis-28354	190	2	,	,	PUNCT
bracis-28354	190	3	for	for	ADP
bracis-28354	190	4	instance	instance	NOUN
bracis-28354	190	5	\(\{f_{1}=0.0526	\(\{f_{1}=0.0526	PROPN
bracis-28354	190	6	,	,	PUNCT
bracis-28354	190	7	f_2	f_2	NOUN
bracis-28354	190	8	=	=	SYM
bracis-28354	190	9	0.3\}\	0.3\}\	NUM
bracis-28354	190	10	)	)	PUNCT
bracis-28354	190	11	,	,	PUNCT
bracis-28354	190	12	feature	feature	NOUN
bracis-28354	190	13	\(f_{1}\	\(f_{1}\	ADJ
bracis-28354	190	14	)	)	PUNCT
bracis-28354	190	15	would	would	AUX
bracis-28354	190	16	be	be	AUX
bracis-28354	190	17	determinant	determinant	ADJ
bracis-28354	190	18	and	and	CCONJ
bracis-28354	190	19	\(f_{2}\	\(f_{2}\	ADJ
bracis-28354	190	20	)	)	PUNCT
bracis-28354	190	21	would	would	AUX
bracis-28354	190	22	not	not	PART
bracis-28354	190	23	.	.	PUNCT
bracis-28354	191	1	fig	fig	NOUN
bracis-28354	191	2	.	.	PUNCT
bracis-28354	192	1	1	1	X
bracis-28354	192	2	.	.	X
bracis-28354	192	3	classification	classification	NOUN
bracis-28354	192	4	through	through	ADP
bracis-28354	192	5	features	feature	NOUN
bracis-28354	192	6	\(f_{1}\	\(f_{1}\	VERB
bracis-28354	192	7	)	)	PUNCT
bracis-28354	192	8	and	and	CCONJ
bracis-28354	192	9	\(f_{2}\	\(f_{2}\	NOUN
bracis-28354	192	10	)	)	PUNCT
bracis-28354	192	11	.	.	PUNCT
bracis-28354	193	1	full	full	ADJ
bracis-28354	193	2	size	size	NOUN
bracis-28354	193	3	image	image	NOUN
bracis-28354	193	4	while	while	SCONJ
bracis-28354	193	5	it	it	PRON
bracis-28354	193	6	is	be	AUX
bracis-28354	193	7	trivial	trivial	ADJ
bracis-28354	193	8	to	to	PART
bracis-28354	193	9	observe	observe	VERB
bracis-28354	193	10	if	if	SCONJ
bracis-28354	193	11	feature	feature	NOUN
bracis-28354	193	12	\(f_{1}\	\(f_{1}\	ADJ
bracis-28354	193	13	)	)	PUNCT
bracis-28354	193	14	and	and	CCONJ
bracis-28354	193	15	\(f_{2}\	\(f_{2}\	NOUN
bracis-28354	193	16	)	)	PUNCT
bracis-28354	193	17	can	can	AUX
bracis-28354	193	18	be	be	AUX
bracis-28354	193	19	determinant	determinant	ADJ
bracis-28354	193	20	,	,	PUNCT
bracis-28354	193	21	due	due	ADP
bracis-28354	193	22	to	to	ADP
bracis-28354	193	23	the	the	DET
bracis-28354	193	24	simplicity	simplicity	NOUN
bracis-28354	193	25	of	of	ADP
bracis-28354	193	26	the	the	DET
bracis-28354	193	27	given	give	VERB
bracis-28354	193	28	decision	decision	NOUN
bracis-28354	193	29	function	function	NOUN
bracis-28354	193	30	,	,	PUNCT
bracis-28354	193	31	it	it	PRON
bracis-28354	193	32	becomes	become	VERB
bracis-28354	193	33	harder	hard	ADJ
bracis-28354	193	34	to	to	PART
bracis-28354	193	35	do	do	VERB
bracis-28354	193	36	so	so	ADV
bracis-28354	193	37	as	as	ADP
bracis-28354	193	38	the	the	DET
bracis-28354	193	39	number	number	NOUN
bracis-28354	193	40	of	of	ADP
bracis-28354	193	41	features	feature	NOUN
bracis-28354	193	42	increases	increase	NOUN
bracis-28354	193	43	.	.	PUNCT
bracis-28354	194	1	furthermore	furthermore	ADV
bracis-28354	194	2	,	,	PUNCT
bracis-28354	194	3	the	the	DET
bracis-28354	194	4	presence	presence	NOUN
bracis-28354	194	5	of	of	ADP
bracis-28354	194	6	ro	ro	PROPN
bracis-28354	194	7	adds	add	VERB
bracis-28354	194	8	another	another	DET
bracis-28354	194	9	layer	layer	NOUN
bracis-28354	194	10	of	of	ADP
bracis-28354	194	11	complexity	complexity	NOUN
bracis-28354	194	12	to	to	ADP
bracis-28354	194	13	the	the	DET
bracis-28354	194	14	problem	problem	NOUN
bracis-28354	194	15	,	,	PUNCT
bracis-28354	194	16	turning	turn	VERB
bracis-28354	194	17	the	the	DET
bracis-28354	194	18	interpretation	interpretation	NOUN
bracis-28354	194	19	task	task	NOUN
bracis-28354	194	20	very	very	ADV
bracis-28354	194	21	non	non	ADJ
bracis-28354	194	22	-	-	ADJ
bracis-28354	194	23	trivial	trivial	ADJ
bracis-28354	194	24	.	.	PUNCT
bracis-28354	195	1	hence	hence	ADV
bracis-28354	195	2	,	,	PUNCT
bracis-28354	195	3	explanations	explanation	NOUN
bracis-28354	195	4	given	give	VERB
bracis-28354	195	5	by	by	ADP
bracis-28354	195	6	weights	weight	NOUN
bracis-28354	195	7	evaluation	evaluation	NOUN
bracis-28354	195	8	may	may	AUX
bracis-28354	195	9	give	give	VERB
bracis-28354	195	10	room	room	NOUN
bracis-28354	195	11	for	for	ADP
bracis-28354	195	12	incorrect	incorrect	ADJ
bracis-28354	195	13	interpretations	interpretation	NOUN
bracis-28354	195	14	.	.	PUNCT
bracis-28354	196	1	this	this	PRON
bracis-28354	196	2	raises	raise	VERB
bracis-28354	196	3	the	the	DET
bracis-28354	196	4	need	need	NOUN
bracis-28354	196	5	for	for	SCONJ
bracis-28354	196	6	an	an	DET
bracis-28354	196	7	approach	approach	NOUN
bracis-28354	196	8	to	to	PART
bracis-28354	196	9	compute	compute	VERB
bracis-28354	196	10	explanations	explanation	NOUN
bracis-28354	196	11	with	with	ADP
bracis-28354	196	12	guarantees	guarantee	NOUN
bracis-28354	196	13	of	of	ADP
bracis-28354	196	14	correctness	correctness	NOUN
bracis-28354	196	15	for	for	ADP
bracis-28354	196	16	linear	linear	PROPN
bracis-28354	196	17	svcs	svcs	PROPN
bracis-28354	196	18	with	with	ADP
bracis-28354	196	19	reject	reject	PROPN
bracis-28354	196	20	option	option	NOUN
bracis-28354	196	21	.	.	PUNCT
bracis-28354	197	1	4	4	NUM
bracis-28354	197	2	explanations	explanation	NOUN
bracis-28354	197	3	for	for	ADP
bracis-28354	197	4	 	 	SPACE
bracis-28354	197	5	linear	linear	ADJ
bracis-28354	197	6	svms	svms	NOUN
bracis-28354	197	7	with	with	ADP
bracis-28354	197	8	 	 	SPACE
bracis-28354	197	9	reject	reject	VERB
bracis-28354	197	10	option	option	NOUN
bracis-28354	197	11	as	as	SCONJ
bracis-28354	197	12	depicted	depict	VERB
bracis-28354	197	13	before	before	ADV
bracis-28354	197	14	,	,	PUNCT
bracis-28354	197	15	most	most	ADJ
bracis-28354	197	16	methods	method	NOUN
bracis-28354	197	17	that	that	PRON
bracis-28354	197	18	generate	generate	VERB
bracis-28354	197	19	explanations	explanation	NOUN
bracis-28354	197	20	for	for	ADP
bracis-28354	197	21	ml	ml	NOUN
bracis-28354	197	22	models	model	NOUN
bracis-28354	197	23	are	be	AUX
bracis-28354	197	24	heuristic	heuristic	ADJ
bracis-28354	197	25	,	,	PUNCT
bracis-28354	197	26	which	which	PRON
bracis-28354	197	27	can	can	AUX
bracis-28354	197	28	bring	bring	VERB
bracis-28354	197	29	issues	issue	NOUN
bracis-28354	197	30	about	about	ADP
bracis-28354	197	31	how	how	SCONJ
bracis-28354	197	32	correct	correct	ADJ
bracis-28354	197	33	and	and	CCONJ
bracis-28354	197	34	trustworthy	trustworthy	ADJ
bracis-28354	197	35	the	the	DET
bracis-28354	197	36	generated	generate	VERB
bracis-28354	197	37	answers	answer	NOUN
bracis-28354	197	38	are	be	AUX
bracis-28354	197	39	.	.	PUNCT
bracis-28354	198	1	added	add	VERB
bracis-28354	198	2	that	that	SCONJ
bracis-28354	198	3	they	they	PRON
bracis-28354	198	4	tend	tend	VERB
bracis-28354	198	5	not	not	PART
bracis-28354	198	6	to	to	PART
bracis-28354	198	7	take	take	VERB
bracis-28354	198	8	into	into	ADP
bracis-28354	198	9	account	account	NOUN
bracis-28354	198	10	whether	whether	SCONJ
bracis-28354	198	11	ro	ro	NOUN
bracis-28354	198	12	is	be	AUX
bracis-28354	198	13	present	present	ADJ
bracis-28354	198	14	,	,	PUNCT
bracis-28354	198	15	these	these	DET
bracis-28354	198	16	problems	problem	NOUN
bracis-28354	198	17	are	be	AUX
bracis-28354	198	18	further	far	ADV
bracis-28354	198	19	aggravated	aggravate	VERB
bracis-28354	198	20	.	.	PUNCT
bracis-28354	199	1	as	as	SCONJ
bracis-28354	199	2	such	such	ADJ
bracis-28354	199	3	,	,	PUNCT
bracis-28354	199	4	an	an	DET
bracis-28354	199	5	approach	approach	NOUN
bracis-28354	199	6	that	that	PRON
bracis-28354	199	7	guarantees	guarantee	VERB
bracis-28354	199	8	the	the	DET
bracis-28354	199	9	correctness	correctness	NOUN
bracis-28354	199	10	of	of	ADP
bracis-28354	199	11	explanations	explanation	NOUN
bracis-28354	199	12	for	for	ADP
bracis-28354	199	13	ml	ml	NOUN
bracis-28354	199	14	models	model	NOUN
bracis-28354	199	15	with	with	ADP
bracis-28354	199	16	ro	ro	PROPN
bracis-28354	199	17	is	be	AUX
bracis-28354	199	18	due	due	ADJ
bracis-28354	199	19	.	.	PUNCT
bracis-28354	200	1	our	our	PRON
bracis-28354	200	2	approach	approach	NOUN
bracis-28354	200	3	is	be	AUX
bracis-28354	200	4	achieved	achieve	VERB
bracis-28354	200	5	by	by	ADP
bracis-28354	200	6	encoding	encode	VERB
bracis-28354	200	7	the	the	DET
bracis-28354	200	8	linear	linear	ADJ
bracis-28354	200	9	svc	svc	PROPN
bracis-28354	200	10	with	with	ADP
bracis-28354	200	11	ro	ro	PROPN
bracis-28354	200	12	as	as	ADP
bracis-28354	200	13	a	a	DET
bracis-28354	200	14	first	first	ADJ
bracis-28354	200	15	-	-	PUNCT
bracis-28354	200	16	order	order	NOUN
bracis-28354	200	17	formula	formula	NOUN
bracis-28354	200	18	,	,	PUNCT
bracis-28354	200	19	following	follow	VERB
bracis-28354	200	20	the	the	DET
bracis-28354	200	21	ideas	idea	NOUN
bracis-28354	200	22	of	of	ADP
bracis-28354	200	23	[	[	X
bracis-28354	200	24	9	9	NUM
bracis-28354	200	25	]	]	PUNCT
bracis-28354	200	26	for	for	ADP
bracis-28354	200	27	traditional	traditional	ADJ
bracis-28354	200	28	neural	neural	ADJ
bracis-28354	200	29	networks	network	NOUN
bracis-28354	200	30	,	,	PUNCT
bracis-28354	200	31	i.e.	i.e.	X
bracis-28354	200	32	without	without	ADP
bracis-28354	200	33	ro	ro	NOUN
bracis-28354	200	34	.	.	PUNCT
bracis-28354	201	1	here	here	ADV
bracis-28354	201	2	we	we	PRON
bracis-28354	201	3	need	need	VERB
bracis-28354	201	4	to	to	PART
bracis-28354	201	5	take	take	VERB
bracis-28354	201	6	into	into	ADP
bracis-28354	201	7	account	account	NOUN
bracis-28354	201	8	the	the	DET
bracis-28354	201	9	reject	reject	NOUN
bracis-28354	201	10	option	option	NOUN
bracis-28354	201	11	and	and	CCONJ
bracis-28354	201	12	its	its	PRON
bracis-28354	201	13	encoding	encoding	NOUN
bracis-28354	201	14	as	as	ADP
bracis-28354	201	15	a	a	DET
bracis-28354	201	16	first	first	ADJ
bracis-28354	201	17	-	-	PUNCT
bracis-28354	201	18	order	order	NOUN
bracis-28354	201	19	formula	formula	NOUN
bracis-28354	201	20	.	.	PUNCT
bracis-28354	202	1	for	for	ADP
bracis-28354	202	2	example	example	NOUN
bracis-28354	202	3	,	,	PUNCT
bracis-28354	202	4	given	give	VERB
bracis-28354	202	5	a	a	DET
bracis-28354	202	6	trained	train	VERB
bracis-28354	202	7	linear	linear	NOUN
bracis-28354	202	8	svc	svc	PROPN
bracis-28354	202	9	with	with	ADP
bracis-28354	202	10	ro	ro	PROPN
bracis-28354	202	11	defined	define	VERB
bracis-28354	202	12	by	by	ADP
bracis-28354	202	13	w	w	PROPN
bracis-28354	202	14	,	,	PUNCT
bracis-28354	202	15	b	b	NOUN
bracis-28354	202	16	,	,	PUNCT
bracis-28354	202	17	\(t_+\	\(t_+\	NUM
bracis-28354	202	18	)	)	PUNCT
bracis-28354	202	19	and	and	CCONJ
bracis-28354	202	20	\(t_-\	\(t_-\	PROPN
bracis-28354	202	21	)	)	PUNCT
bracis-28354	202	22	as	as	ADP
bracis-28354	202	23	in	in	ADP
bracis-28354	202	24	eq	eq	PROPN
bracis-28354	202	25	.	.	PUNCT
bracis-28354	202	26	 	 	SPACE
bracis-28354	202	27	6	6	NUM
bracis-28354	202	28	,	,	PUNCT
bracis-28354	202	29	and	and	CCONJ
bracis-28354	202	30	an	an	DET
bracis-28354	202	31	instance	instance	NOUN
bracis-28354	202	32	i	i	PRON
bracis-28354	202	33	classified	classify	VERB
bracis-28354	202	34	as	as	ADP
bracis-28354	202	35	class	class	NOUN
bracis-28354	202	36	\(c	\(c	NOUN
bracis-28354	202	37	=	=	SYM
bracis-28354	202	38	0\	0\	PROPN
bracis-28354	202	39	)	)	PUNCT
bracis-28354	202	40	,	,	PUNCT
bracis-28354	202	41	i.e.	i.e.	X
bracis-28354	202	42	in	in	ADP
bracis-28354	202	43	the	the	DET
bracis-28354	202	44	rejection	rejection	NOUN
bracis-28354	202	45	class	class	NOUN
bracis-28354	202	46	,	,	PUNCT
bracis-28354	202	47	we	we	PRON
bracis-28354	202	48	define	define	VERB
bracis-28354	202	49	the	the	DET
bracis-28354	202	50	first	first	ADJ
bracis-28354	202	51	-	-	PUNCT
bracis-28354	202	52	order	order	NOUN
bracis-28354	202	53	formula	formula	NOUN
bracis-28354	202	54	p	p	X
bracis-28354	202	55	:	:	PUNCT
bracis-28354	202	56	$	$	SYM
bracis-28354	202	57	$	$	SYM
bracis-28354	202	58	\begin{aligned	\begin{aligne	VERB
bracis-28354	202	59	}	}	PUNCT
bracis-28354	202	60	\begin{aligned	\begin{aligne	VERB
bracis-28354	202	61	}	}	PUNCT
bracis-28354	202	62	p	p	NOUN
bracis-28354	202	63	=	=	PUNCT
bracis-28354	202	64	(	(	PUNCT
bracis-28354	202	65	\sum	\sum	NOUN
bracis-28354	202	66	^n_{i=1	^n_{i=1	PUNCT
bracis-28354	202	67	}	}	PUNCT
bracis-28354	202	68	w_i	w_i	PUNCT
bracis-28354	202	69	f_i	f_i	PUNCT
bracis-28354	203	1	+	+	NUM
bracis-28354	203	2	b	b	X
bracis-28354	203	3	\le	\le	PROPN
bracis-28354	203	4	t_+	t_+	PROPN
bracis-28354	203	5	)	)	PUNCT
bracis-28354	203	6	\wedge	\wedge	PROPN
bracis-28354	203	7	(	(	PUNCT
bracis-28354	203	8	\sum	\sum	NOUN
bracis-28354	203	9	^n_{i=1	^n_{i=1	PUNCT
bracis-28354	203	10	}	}	PUNCT
bracis-28354	203	11	w_i	w_i	PUNCT
bracis-28354	203	12	f_i	f_i	PUNCT
bracis-28354	204	1	+	+	NUM
bracis-28354	204	2	b	b	X
bracis-28354	204	3	\ge	\ge	PROPN
bracis-28354	204	4	t_-	t_-	NOUN
bracis-28354	204	5	)	)	PUNCT
bracis-28354	204	6	.	.	PUNCT
bracis-28354	205	1	\end{aligned	\end{aligne	VERB
bracis-28354	205	2	}	}	PUNCT
bracis-28354	205	3	\end{aligned}$$	\end{aligned}$$	X
bracis-28354	205	4	(	(	PUNCT
bracis-28354	205	5	10	10	NUM
bracis-28354	205	6	)	)	PUNCT
bracis-28354	205	7	therefore	therefore	ADV
bracis-28354	205	8	,	,	PUNCT
bracis-28354	205	9	given	give	VERB
bracis-28354	205	10	an	an	DET
bracis-28354	205	11	instance	instance	NOUN
bracis-28354	205	12	\(i	\(i	NOUN
bracis-28354	205	13	=	=	SYM
bracis-28354	205	14	\{f_1	\{f_1	NOUN
bracis-28354	205	15	=	=	SYM
bracis-28354	205	16	x_1	x_1	PROPN
bracis-28354	205	17	,	,	PUNCT
bracis-28354	205	18	f_2	f_2	PROPN
bracis-28354	205	19	=	=	SYM
bracis-28354	205	20	x_2	x_2	PROPN
bracis-28354	205	21	,	,	PUNCT
bracis-28354	205	22	...	...	PUNCT
bracis-28354	205	23	,	,	PUNCT
bracis-28354	205	24	f_n	f_n	X
bracis-28354	205	25	=	=	SYM
bracis-28354	206	1	x_n\}\	x_n\}\	VERB
bracis-28354	206	2	)	)	PUNCT
bracis-28354	206	3	such	such	ADJ
bracis-28354	206	4	that	that	SCONJ
bracis-28354	206	5	its	its	PRON
bracis-28354	206	6	features	feature	NOUN
bracis-28354	206	7	are	be	AUX
bracis-28354	206	8	defined	define	VERB
bracis-28354	206	9	by	by	ADP
bracis-28354	206	10	\(d	\(d	NOUN
bracis-28354	206	11	=	=	SYM
bracis-28354	206	12	\{l_1	\{l_1	ADP
bracis-28354	206	13	\le	\le	PROPN
bracis-28354	206	14	f_1	f_1	PROPN
bracis-28354	206	15	\le	\le	PROPN
bracis-28354	206	16	u_1	u_1	NOUN
bracis-28354	206	17	,	,	PUNCT
bracis-28354	206	18	l_2	l_2	NOUN
bracis-28354	206	19	\le	\le	NUM
bracis-28354	206	20	f_2	f_2	PROPN
bracis-28354	206	21	\le	\le	PROPN
bracis-28354	206	22	u_2	u_2	PROPN
bracis-28354	206	23	,	,	PUNCT
bracis-28354	206	24	...	...	PUNCT
bracis-28354	206	25	,	,	PUNCT
bracis-28354	206	26	l_n	l_n	PROPN
bracis-28354	206	27	\le	\le	PROPN
bracis-28354	206	28	f_n	f_n	PROPN
bracis-28354	206	29	\le	\le	PROPN
bracis-28354	206	30	u_n	u_n	SYM
bracis-28354	206	31	\}\	\}\	NOUN
bracis-28354	206	32	)	)	PUNCT
bracis-28354	206	33	,	,	PUNCT
bracis-28354	206	34	an	an	DET
bracis-28354	206	35	explanation	explanation	NOUN
bracis-28354	206	36	is	be	AUX
bracis-28354	206	37	a	a	DET
bracis-28354	206	38	subset	subset	NOUN
bracis-28354	206	39	\(e	\(e	X
bracis-28354	206	40	\subseteq	\subseteq	PROPN
bracis-28354	206	41	i\	i\	PROPN
bracis-28354	206	42	)	)	PUNCT
bracis-28354	206	43	such	such	ADJ
bracis-28354	206	44	that	that	SCONJ
bracis-28354	206	45	\(e	\(e	NOUN
bracis-28354	206	46	\cup	\cup	X
bracis-28354	206	47	d\,\models	d\,\models	PROPN
bracis-28354	206	48	\,p\	\,p\	NOUN
bracis-28354	206	49	)	)	PUNCT
bracis-28354	206	50	.	.	PUNCT
bracis-28354	207	1	therefore	therefore	ADV
bracis-28354	207	2	,	,	PUNCT
bracis-28354	207	3	each	each	DET
bracis-28354	207	4	assignment	assignment	NOUN
bracis-28354	207	5	that	that	PRON
bracis-28354	207	6	satisfies	satisfy	VERB
bracis-28354	207	7	all	all	DET
bracis-28354	207	8	the	the	DET
bracis-28354	207	9	formulas	formula	NOUN
bracis-28354	207	10	in	in	ADP
bracis-28354	207	11	\(e	\(e	NOUN
bracis-28354	207	12	\cup	\cup	ADP
bracis-28354	207	13	d\	d\	NUM
bracis-28354	207	14	)	)	PUNCT
bracis-28354	207	15	must	must	AUX
bracis-28354	207	16	also	also	ADV
bracis-28354	207	17	satisfy	satisfy	VERB
bracis-28354	207	18	p.	p.	NOUN
bracis-28354	207	19	in	in	ADP
bracis-28354	207	20	other	other	ADJ
bracis-28354	207	21	words	word	NOUN
bracis-28354	207	22	,	,	PUNCT
bracis-28354	207	23	prediction	prediction	NOUN
bracis-28354	207	24	is	be	AUX
bracis-28354	207	25	guaranteed	guarantee	VERB
bracis-28354	207	26	to	to	PART
bracis-28354	207	27	be	be	AUX
bracis-28354	207	28	in	in	ADP
bracis-28354	207	29	the	the	DET
bracis-28354	207	30	rejection	rejection	NOUN
bracis-28354	207	31	class	class	NOUN
bracis-28354	207	32	.	.	PUNCT
bracis-28354	208	1	moreover	moreover	ADV
bracis-28354	208	2	,	,	PUNCT
bracis-28354	208	3	since	since	SCONJ
bracis-28354	208	4	our	our	PRON
bracis-28354	208	5	goal	goal	NOUN
bracis-28354	208	6	is	be	AUX
bracis-28354	208	7	to	to	PART
bracis-28354	208	8	obtain	obtain	VERB
bracis-28354	208	9	minimal	minimal	ADJ
bracis-28354	208	10	explanations	explanation	NOUN
bracis-28354	208	11	,	,	PUNCT
bracis-28354	208	12	e	e	PRON
bracis-28354	208	13	must	must	AUX
bracis-28354	208	14	be	be	AUX
bracis-28354	208	15	such	such	ADJ
bracis-28354	208	16	that	that	SCONJ
bracis-28354	208	17	,	,	PUNCT
bracis-28354	208	18	for	for	ADP
bracis-28354	208	19	all	all	PRON
bracis-28354	208	20	subset	subset	ADJ
bracis-28354	208	21	\(e	\(e	NOUN
bracis-28354	208	22	'	'	PART
bracis-28354	208	23	\subset	\subset	PROPN
bracis-28354	208	24	e\	e\	NOUN
bracis-28354	208	25	)	)	PUNCT
bracis-28354	208	26	,	,	PUNCT
bracis-28354	208	27	it	it	PRON
bracis-28354	208	28	follows	follow	VERB
bracis-28354	208	29	that	that	SCONJ
bracis-28354	208	30	\(e	\(e	NOUN
bracis-28354	208	31	'	'	PART
bracis-28354	208	32	\cup	\cup	NOUN
bracis-28354	208	33	d	d	PROPN
bracis-28354	208	34	\not	\not	ADV
bracis-28354	208	35	\models	\models	PROPN
bracis-28354	208	36	p\	p\	NOUN
bracis-28354	208	37	)	)	PUNCT
bracis-28354	208	38	.	.	PUNCT
bracis-28354	209	1	instances	instance	NOUN
bracis-28354	209	2	predicted	predict	VERB
bracis-28354	209	3	in	in	ADP
bracis-28354	209	4	other	other	ADJ
bracis-28354	209	5	classes	class	NOUN
bracis-28354	209	6	are	be	AUX
bracis-28354	209	7	treated	treat	VERB
bracis-28354	209	8	in	in	ADP
bracis-28354	209	9	a	a	DET
bracis-28354	209	10	similar	similar	ADJ
bracis-28354	209	11	way	way	NOUN
bracis-28354	209	12	.	.	PUNCT
bracis-28354	210	1	for	for	ADP
bracis-28354	210	2	example	example	NOUN
bracis-28354	210	3	,	,	PUNCT
bracis-28354	210	4	if	if	SCONJ
bracis-28354	210	5	instance	instance	NOUN
bracis-28354	210	6	i	i	PRON
bracis-28354	210	7	is	be	AUX
bracis-28354	210	8	classified	classify	VERB
bracis-28354	210	9	as	as	ADP
bracis-28354	210	10	class	class	NOUN
bracis-28354	210	11	\(c	\(c	NOUN
bracis-28354	210	12	=	=	SYM
bracis-28354	210	13	+1\	+1\	NUM
bracis-28354	210	14	)	)	PUNCT
bracis-28354	210	15	,	,	PUNCT
bracis-28354	210	16	p	p	PROPN
bracis-28354	210	17	is	be	AUX
bracis-28354	210	18	defined	define	VERB
bracis-28354	210	19	as	as	ADP
bracis-28354	210	20	\(\sum	\(\sum	NOUN
bracis-28354	210	21	^n_{i=1	^n_{i=1	PUNCT
bracis-28354	210	22	}	}	PUNCT
bracis-28354	210	23	w_i	w_i	PUNCT
bracis-28354	210	24	f_i	f_i	PUNCT
bracis-28354	211	1	+	+	NUM
bracis-28354	211	2	b	b	X
bracis-28354	211	3	>	>	PUNCT
bracis-28354	211	4	t_+\	t_+\	PROPN
bracis-28354	211	5	)	)	PUNCT
bracis-28354	211	6	.	.	PUNCT
bracis-28354	212	1	it	it	PRON
bracis-28354	212	2	is	be	AUX
bracis-28354	212	3	worth	worth	ADJ
bracis-28354	212	4	noting	note	VERB
bracis-28354	212	5	that	that	SCONJ
bracis-28354	212	6	,	,	PUNCT
bracis-28354	212	7	in	in	ADP
bracis-28354	212	8	these	these	DET
bracis-28354	212	9	formulas	formula	NOUN
bracis-28354	212	10	,	,	PUNCT
bracis-28354	212	11	each	each	DET
bracis-28354	212	12	\(f_i\	\(f_i\	NOUN
bracis-28354	212	13	)	)	PUNCT
bracis-28354	212	14	is	be	AUX
bracis-28354	212	15	a	a	DET
bracis-28354	212	16	first	first	ADJ
bracis-28354	212	17	-	-	PUNCT
bracis-28354	212	18	order	order	NOUN
bracis-28354	212	19	variable	variable	NOUN
bracis-28354	212	20	,	,	PUNCT
bracis-28354	212	21	and	and	CCONJ
bracis-28354	212	22	b	b	NOUN
bracis-28354	212	23	,	,	PUNCT
bracis-28354	212	24	\(t_+\	\(t_+\	NUM
bracis-28354	212	25	)	)	PUNCT
bracis-28354	212	26	,	,	PUNCT
bracis-28354	212	27	\(t_-\	\(t_-\	PROPN
bracis-28354	212	28	)	)	PUNCT
bracis-28354	212	29	and	and	CCONJ
bracis-28354	212	30	each	each	DET
bracis-28354	212	31	\(w_i\	\(w_i\	NOUN
bracis-28354	212	32	)	)	PUNCT
bracis-28354	212	33	are	be	AUX
bracis-28354	212	34	concrete	concrete	ADJ
bracis-28354	212	35	real	real	ADJ
bracis-28354	212	36	numbers	number	NOUN
bracis-28354	212	37	.	.	PUNCT
bracis-28354	213	1	note	note	VERB
bracis-28354	213	2	that	that	SCONJ
bracis-28354	213	3	each	each	DET
bracis-28354	213	4	first	first	ADJ
bracis-28354	213	5	-	-	PUNCT
bracis-28354	213	6	order	order	NOUN
bracis-28354	213	7	variable	variable	ADJ
bracis-28354	213	8	\(f_i\	\(f_i\	NOUN
bracis-28354	213	9	)	)	PUNCT
bracis-28354	213	10	is	be	AUX
bracis-28354	213	11	analogous	analogous	ADJ
bracis-28354	213	12	to	to	ADP
bracis-28354	213	13	the	the	DET
bracis-28354	213	14	\(z_i\	\(z_i\	NOUN
bracis-28354	213	15	)	)	PUNCT
bracis-28354	213	16	in	in	ADP
bracis-28354	213	17	sect	sect	NOUN
bracis-28354	213	18	.	.	PUNCT
bracis-28354	213	19	 	 	SPACE
bracis-28354	214	1	2.4	2.4	NUM
bracis-28354	214	2	.	.	PUNCT
bracis-28354	215	1	moreover	moreover	ADV
bracis-28354	215	2	,	,	PUNCT
bracis-28354	215	3	each	each	DET
bracis-28354	215	4	first	first	ADJ
bracis-28354	215	5	-	-	PUNCT
bracis-28354	215	6	order	order	NOUN
bracis-28354	215	7	variable	variable	ADJ
bracis-28354	215	8	\(f_i\	\(f_i\	NOUN
bracis-28354	215	9	)	)	PUNCT
bracis-28354	215	10	represents	represent	VERB
bracis-28354	215	11	a	a	DET
bracis-28354	215	12	feature	feature	NOUN
bracis-28354	215	13	.	.	PUNCT
bracis-28354	216	1	earlier	early	ADJ
bracis-28354	216	2	work	work	NOUN
bracis-28354	216	3	[	[	X
bracis-28354	216	4	9	9	NUM
bracis-28354	216	5	]	]	PUNCT
bracis-28354	216	6	outlined	outline	VERB
bracis-28354	216	7	algorithm	algorithm	NOUN
bracis-28354	216	8	 	 	SPACE
bracis-28354	216	9	1	1	NUM
bracis-28354	216	10	for	for	ADP
bracis-28354	216	11	computing	compute	VERB
bracis-28354	216	12	minimal	minimal	ADJ
bracis-28354	216	13	explanations	explanation	NOUN
bracis-28354	216	14	for	for	ADP
bracis-28354	216	15	traditional	traditional	ADJ
bracis-28354	216	16	neural	neural	ADJ
bracis-28354	216	17	networks	network	NOUN
bracis-28354	216	18	,	,	PUNCT
bracis-28354	216	19	i.e.	i.e.	X
bracis-28354	216	20	without	without	ADP
bracis-28354	216	21	ro	ro	NOUN
bracis-28354	216	22	.	.	PUNCT
bracis-28354	216	23	by	by	ADP
bracis-28354	216	24	leveraging	leverage	VERB
bracis-28354	216	25	the	the	DET
bracis-28354	216	26	insights	insight	NOUN
bracis-28354	216	27	from	from	ADP
bracis-28354	216	28	this	this	DET
bracis-28354	216	29	earlier	early	ADJ
bracis-28354	216	30	work	work	NOUN
bracis-28354	216	31	,	,	PUNCT
bracis-28354	216	32	we	we	PRON
bracis-28354	216	33	can	can	AUX
bracis-28354	216	34	effectively	effectively	ADV
bracis-28354	216	35	employ	employ	VERB
bracis-28354	216	36	algorithm	algorithm	NOUN
bracis-28354	216	37	 	 	SPACE
bracis-28354	216	38	1	1	NUM
bracis-28354	216	39	to	to	PART
bracis-28354	216	40	find	find	VERB
bracis-28354	216	41	a	a	DET
bracis-28354	216	42	minimal	minimal	ADJ
bracis-28354	216	43	explanation	explanation	NOUN
bracis-28354	216	44	for	for	ADP
bracis-28354	216	45	linear	linear	PROPN
bracis-28354	216	46	svcs	svcs	PROPN
bracis-28354	216	47	with	with	ADP
bracis-28354	216	48	ro	ro	PROPN
bracis-28354	216	49	given	give	VERB
bracis-28354	216	50	i	i	PRON
bracis-28354	216	51	,	,	PUNCT
bracis-28354	216	52	d	d	PROPN
bracis-28354	217	1	and	and	CCONJ
bracis-28354	217	2	p.	p.	NOUN
bracis-28354	217	3	if	if	SCONJ
bracis-28354	217	4	instance	instance	NOUN
bracis-28354	217	5	i	i	PRON
bracis-28354	217	6	is	be	AUX
bracis-28354	217	7	predicted	predict	VERB
bracis-28354	217	8	as	as	ADP
bracis-28354	217	9	a	a	DET
bracis-28354	217	10	class	class	NOUN
bracis-28354	217	11	c	c	NOUN
bracis-28354	217	12	by	by	ADP
bracis-28354	217	13	the	the	DET
bracis-28354	217	14	linear	linear	PROPN
bracis-28354	217	15	svc	svc	PROPN
bracis-28354	217	16	with	with	ADP
bracis-28354	217	17	ro	ro	PROPN
bracis-28354	217	18	,	,	PUNCT
bracis-28354	217	19	then	then	ADV
bracis-28354	217	20	p	p	NOUN
bracis-28354	217	21	is	be	AUX
bracis-28354	217	22	defined	define	VERB
bracis-28354	217	23	accordingly	accordingly	ADV
bracis-28354	217	24	to	to	PART
bracis-28354	217	25	reflect	reflect	VERB
bracis-28354	217	26	c.	c.	PROPN
bracis-28354	217	27	the	the	DET
bracis-28354	217	28	minimal	minimal	ADJ
bracis-28354	217	29	explanation	explanation	NOUN
bracis-28354	217	30	e	e	NOUN
bracis-28354	217	31	of	of	ADP
bracis-28354	217	32	i	i	PRON
bracis-28354	217	33	is	be	AUX
bracis-28354	217	34	calculated	calculate	VERB
bracis-28354	217	35	by	by	ADP
bracis-28354	217	36	setting	set	VERB
bracis-28354	217	37	e	e	NOUN
bracis-28354	217	38	to	to	ADP
bracis-28354	217	39	i	i	PRON
bracis-28354	217	40	and	and	CCONJ
bracis-28354	217	41	then	then	ADV
bracis-28354	217	42	removing	remove	VERB
bracis-28354	217	43	feature	feature	NOUN
bracis-28354	217	44	by	by	ADP
bracis-28354	217	45	feature	feature	NOUN
bracis-28354	217	46	from	from	ADP
bracis-28354	217	47	e.	e.	PROPN
bracis-28354	217	48	for	for	ADP
bracis-28354	217	49	example	example	NOUN
bracis-28354	217	50	,	,	PUNCT
bracis-28354	217	51	given	give	VERB
bracis-28354	217	52	a	a	DET
bracis-28354	217	53	feature	feature	NOUN
bracis-28354	217	54	\(f_i	\(f_i	NOUN
bracis-28354	217	55	=	=	PUNCT
bracis-28354	217	56	x_i\	x_i\	PROPN
bracis-28354	217	57	)	)	PUNCT
bracis-28354	217	58	in	in	ADP
bracis-28354	217	59	e	e	NOUN
bracis-28354	217	60	,	,	PUNCT
bracis-28354	217	61	if	if	SCONJ
bracis-28354	217	62	\(e	\(e	NOUN
bracis-28354	217	63	\setminus	\setminus	PROPN
bracis-28354	217	64	\{f_i	\{f_i	X
bracis-28354	217	65	=	=	SYM
bracis-28354	217	66	x_i\	x_i\	PROPN
bracis-28354	217	67	}	}	PUNCT
bracis-28354	217	68	,	,	PUNCT
bracis-28354	217	69	d\,\models	d\,\models	PROPN
bracis-28354	217	70	\,p\	\,p\	NOUN
bracis-28354	217	71	)	)	PUNCT
bracis-28354	217	72	,	,	PUNCT
bracis-28354	217	73	then	then	ADV
bracis-28354	217	74	the	the	DET
bracis-28354	217	75	value	value	NOUN
bracis-28354	217	76	\(x_i\	\(x_i\	NOUN
bracis-28354	217	77	)	)	PUNCT
bracis-28354	217	78	of	of	ADP
bracis-28354	217	79	feature	feature	NOUN
bracis-28354	217	80	\(f_i\	\(f_i\	NOUN
bracis-28354	217	81	)	)	PUNCT
bracis-28354	217	82	is	be	AUX
bracis-28354	217	83	not	not	PART
bracis-28354	217	84	necessary	necessary	ADJ
bracis-28354	217	85	to	to	PART
bracis-28354	217	86	ensure	ensure	VERB
bracis-28354	217	87	the	the	DET
bracis-28354	217	88	prediction	prediction	NOUN
bracis-28354	217	89	,	,	PUNCT
bracis-28354	217	90	and	and	CCONJ
bracis-28354	217	91	then	then	ADV
bracis-28354	217	92	it	it	PRON
bracis-28354	217	93	is	be	AUX
bracis-28354	217	94	removed	remove	VERB
bracis-28354	217	95	from	from	ADP
bracis-28354	217	96	e.	e.	PROPN
bracis-28354	217	97	otherwise	otherwise	ADV
bracis-28354	217	98	,	,	PUNCT
bracis-28354	217	99	if	if	SCONJ
bracis-28354	217	100	\(e	\(e	NOUN
bracis-28354	217	101	\setminus	\setminus	PROPN
bracis-28354	217	102	\{f_i	\{f_i	X
bracis-28354	217	103	=	=	SYM
bracis-28354	217	104	x_i\	x_i\	PROPN
bracis-28354	217	105	}	}	PUNCT
bracis-28354	217	106	,	,	PUNCT
bracis-28354	217	107	d	d	X
bracis-28354	217	108	\not	\not	ADV
bracis-28354	217	109	\models	\models	PROPN
bracis-28354	217	110	p\	p\	NOUN
bracis-28354	217	111	)	)	PUNCT
bracis-28354	217	112	,	,	PUNCT
bracis-28354	217	113	then	then	ADV
bracis-28354	217	114	\(f_i	\(f_i	NOUN
bracis-28354	217	115	=	=	SYM
bracis-28354	218	1	x_i\	x_i\	PROPN
bracis-28354	218	2	)	)	PUNCT
bracis-28354	218	3	is	be	AUX
bracis-28354	218	4	kept	keep	VERB
bracis-28354	218	5	in	in	ADP
bracis-28354	218	6	e	e	NOUN
bracis-28354	218	7	since	since	SCONJ
bracis-28354	218	8	it	it	PRON
bracis-28354	218	9	is	be	AUX
bracis-28354	218	10	necessary	necessary	ADJ
bracis-28354	218	11	for	for	ADP
bracis-28354	218	12	the	the	DET
bracis-28354	218	13	prediction	prediction	NOUN
bracis-28354	218	14	.	.	PUNCT
bracis-28354	219	1	this	this	DET
bracis-28354	219	2	process	process	NOUN
bracis-28354	219	3	is	be	AUX
bracis-28354	219	4	performed	perform	VERB
bracis-28354	219	5	for	for	ADP
bracis-28354	219	6	all	all	DET
bracis-28354	219	7	features	feature	NOUN
bracis-28354	219	8	as	as	SCONJ
bracis-28354	219	9	described	describe	VERB
bracis-28354	219	10	in	in	ADP
bracis-28354	219	11	algorithm	algorithm	PROPN
bracis-28354	219	12	 	 	SPACE
bracis-28354	219	13	1	1	NUM
bracis-28354	219	14	.	.	PUNCT
bracis-28354	220	1	then	then	ADV
bracis-28354	220	2	,	,	PUNCT
bracis-28354	220	3	at	at	ADP
bracis-28354	220	4	the	the	DET
bracis-28354	220	5	end	end	NOUN
bracis-28354	220	6	of	of	ADP
bracis-28354	220	7	algorithm	algorithm	NOUN
bracis-28354	220	8	 	 	SPACE
bracis-28354	220	9	1	1	NUM
bracis-28354	220	10	,	,	PUNCT
bracis-28354	220	11	for	for	ADP
bracis-28354	220	12	the	the	DET
bracis-28354	220	13	values	value	NOUN
bracis-28354	220	14	of	of	ADP
bracis-28354	220	15	features	feature	NOUN
bracis-28354	220	16	in	in	ADP
bracis-28354	220	17	e	e	NOUN
bracis-28354	220	18	,	,	PUNCT
bracis-28354	220	19	the	the	DET
bracis-28354	220	20	prediction	prediction	NOUN
bracis-28354	220	21	is	be	AUX
bracis-28354	220	22	the	the	DET
bracis-28354	220	23	same	same	ADJ
bracis-28354	220	24	and	and	CCONJ
bracis-28354	220	25	invariant	invariant	ADJ
bracis-28354	220	26	with	with	ADP
bracis-28354	220	27	respect	respect	NOUN
bracis-28354	220	28	to	to	ADP
bracis-28354	220	29	the	the	DET
bracis-28354	220	30	values	value	NOUN
bracis-28354	220	31	of	of	ADP
bracis-28354	220	32	the	the	DET
bracis-28354	220	33	remaining	remain	VERB
bracis-28354	220	34	features	feature	NOUN
bracis-28354	220	35	.	.	PUNCT
bracis-28354	221	1	by	by	ADP
bracis-28354	221	2	the	the	DET
bracis-28354	221	3	result	result	NOUN
bracis-28354	221	4	in	in	ADP
bracis-28354	221	5	 	 	SPACE
bracis-28354	221	6	9	9	NUM
bracis-28354	221	7	,	,	PUNCT
bracis-28354	221	8	verifying	verify	VERB
bracis-28354	221	9	entailments	entailment	NOUN
bracis-28354	221	10	of	of	ADP
bracis-28354	221	11	the	the	DET
bracis-28354	221	12	form	form	NOUN
bracis-28354	221	13	\((e	\((e	PRON
bracis-28354	221	14	\setminus	\setminus	PROPN
bracis-28354	221	15	\{f_i	\{f_i	NOUN
bracis-28354	221	16	=	=	SYM
bracis-28354	221	17	x_i\	x_i\	PROPN
bracis-28354	221	18	}	}	PUNCT
bracis-28354	221	19	)	)	PUNCT
bracis-28354	221	20	\cup	\cup	VERB
bracis-28354	221	21	d\,\models	d\,\models	PROPN
bracis-28354	221	22	\,p\	\,p\	NOUN
bracis-28354	221	23	)	)	PUNCT
bracis-28354	221	24	can	can	AUX
bracis-28354	221	25	be	be	AUX
bracis-28354	221	26	done	do	VERB
bracis-28354	221	27	by	by	ADP
bracis-28354	221	28	testing	test	VERB
bracis-28354	221	29	whether	whether	SCONJ
bracis-28354	221	30	the	the	DET
bracis-28354	221	31	set	set	NOUN
bracis-28354	221	32	of	of	ADP
bracis-28354	221	33	first	first	ADJ
bracis-28354	221	34	-	-	PUNCT
bracis-28354	221	35	order	order	NOUN
bracis-28354	221	36	formulas	formula	NOUN
bracis-28354	221	37	\((e	\((e	PRON
bracis-28354	221	38	\setminus	\setminus	PROPN
bracis-28354	221	39	\{f_i	\{f_i	NOUN
bracis-28354	221	40	=	=	SYM
bracis-28354	221	41	x_i\	x_i\	PROPN
bracis-28354	221	42	}	}	PUNCT
bracis-28354	221	43	)	)	PUNCT
bracis-28354	221	44	\cup	\cup	VERB
bracis-28354	221	45	d	d	NOUN
bracis-28354	221	46	\cup	\cup	PROPN
bracis-28354	221	47	\{\lnot	\{\lnot	ADV
bracis-28354	221	48	p\}\	p\}\	NOUN
bracis-28354	221	49	)	)	PUNCT
bracis-28354	221	50	is	be	AUX
bracis-28354	221	51	unsatisfiable	unsatisfiable	ADJ
bracis-28354	221	52	.	.	PUNCT
bracis-28354	222	1	if	if	SCONJ
bracis-28354	222	2	p	p	NOUN
bracis-28354	222	3	is	be	AUX
bracis-28354	222	4	a	a	DET
bracis-28354	222	5	conjunction	conjunction	NOUN
bracis-28354	222	6	\(p_1	\(p_1	PROPN
bracis-28354	222	7	\wedge	\wedge	PROPN
bracis-28354	222	8	p_2\	p_2\	PROPN
bracis-28354	222	9	)	)	PUNCT
bracis-28354	222	10	as	as	ADP
bracis-28354	222	11	in	in	ADP
bracis-28354	222	12	10	10	NUM
bracis-28354	222	13	,	,	PUNCT
bracis-28354	222	14	then	then	ADV
bracis-28354	222	15	\(\lnot	\(\lnot	ADV
bracis-28354	222	16	p\	p\	NOUN
bracis-28354	222	17	)	)	PUNCT
bracis-28354	222	18	is	be	AUX
bracis-28354	222	19	equivalent	equivalent	ADJ
bracis-28354	222	20	to	to	ADP
bracis-28354	222	21	a	a	DET
bracis-28354	222	22	disjunction	disjunction	NOUN
bracis-28354	222	23	\(\lnot	\(\lnot	ADV
bracis-28354	222	24	p_1	p_1	NOUN
bracis-28354	222	25	\vee	\vee	PROPN
bracis-28354	222	26	\lnot	\lnot	PROPN
bracis-28354	222	27	p_2\	p_2\	PROPN
bracis-28354	222	28	)	)	PUNCT
bracis-28354	222	29	.	.	PUNCT
bracis-28354	223	1	therefore	therefore	ADV
bracis-28354	223	2	,	,	PUNCT
bracis-28354	223	3	we	we	PRON
bracis-28354	223	4	must	must	AUX
bracis-28354	223	5	check	check	VERB
bracis-28354	223	6	whether	whether	SCONJ
bracis-28354	223	7	\((e	\((e	PRON
bracis-28354	223	8	\setminus	\setminus	PROPN
bracis-28354	223	9	\{f_i	\{f_i	NOUN
bracis-28354	223	10	=	=	SYM
bracis-28354	223	11	x_i\	x_i\	PROPN
bracis-28354	223	12	}	}	PUNCT
bracis-28354	223	13	)	)	PUNCT
bracis-28354	223	14	\cup	\cup	VERB
bracis-28354	223	15	d	d	NOUN
bracis-28354	223	16	\cup	\cup	PROPN
bracis-28354	223	17	\{\lnot	\{\lnot	PRON
bracis-28354	223	18	p_1\}\	p_1\}\	NOUN
bracis-28354	223	19	)	)	PUNCT
bracis-28354	223	20	is	be	AUX
bracis-28354	223	21	unsatisfiable	unsatisfiable	ADJ
bracis-28354	223	22	and	and	CCONJ
bracis-28354	223	23	\((e	\((e	PRON
bracis-28354	223	24	\setminus	\setminus	PROPN
bracis-28354	223	25	\{f_i	\{f_i	NOUN
bracis-28354	223	26	=	=	SYM
bracis-28354	223	27	x_i\	x_i\	PROPN
bracis-28354	223	28	}	}	PUNCT
bracis-28354	223	29	)	)	PUNCT
bracis-28354	223	30	\cup	\cup	VERB
bracis-28354	223	31	d	d	NOUN
bracis-28354	223	32	\cup	\cup	PROPN
bracis-28354	223	33	\{\lnot	\{\lnot	PRON
bracis-28354	223	34	p_2\}\	p_2\}\	NOUN
bracis-28354	223	35	)	)	PUNCT
bracis-28354	223	36	is	be	AUX
bracis-28354	223	37	unsatisfiable	unsatisfiable	ADJ
bracis-28354	223	38	,	,	PUNCT
bracis-28354	223	39	by	by	ADP
bracis-28354	223	40	the	the	DET
bracis-28354	223	41	result	result	NOUN
bracis-28354	223	42	in	in	ADP
bracis-28354	223	43	 	 	SPACE
bracis-28354	223	44	8	8	NUM
bracis-28354	223	45	.	.	PUNCT
bracis-28354	224	1	algorithm	algorithm	NOUN
bracis-28354	224	2	1	1	NUM
bracis-28354	224	3	computing	compute	VERB
bracis-28354	224	4	a	a	DET
bracis-28354	224	5	minimal	minimal	ADJ
bracis-28354	224	6	explanation	explanation	NOUN
bracis-28354	224	7	full	full	ADJ
bracis-28354	224	8	size	size	NOUN
bracis-28354	224	9	image	image	NOUN
bracis-28354	224	10	moreover	moreover	ADV
bracis-28354	224	11	,	,	PUNCT
bracis-28354	224	12	since	since	SCONJ
bracis-28354	224	13	\((e	\((e	PRON
bracis-28354	224	14	\setminus	\setminus	PROPN
bracis-28354	224	15	\{f_i	\{f_i	NOUN
bracis-28354	224	16	=	=	SYM
bracis-28354	224	17	x_i\	x_i\	PROPN
bracis-28354	224	18	}	}	PUNCT
bracis-28354	224	19	)	)	PUNCT
bracis-28354	224	20	\cup	\cup	VERB
bracis-28354	224	21	d\	d\	NOUN
bracis-28354	224	22	)	)	PUNCT
bracis-28354	224	23	is	be	AUX
bracis-28354	224	24	a	a	DET
bracis-28354	224	25	set	set	NOUN
bracis-28354	224	26	of	of	ADP
bracis-28354	224	27	linear	linear	ADJ
bracis-28354	224	28	constraints	constraint	NOUN
bracis-28354	224	29	and	and	CCONJ
bracis-28354	224	30	\(\lnot	\(\lnot	ADV
bracis-28354	224	31	p_1\	p_1\	NOUN
bracis-28354	224	32	)	)	PUNCT
bracis-28354	224	33	and	and	CCONJ
bracis-28354	224	34	\(\lnot	\(\lnot	ADV
bracis-28354	224	35	p_2\	p_2\	NUM
bracis-28354	224	36	)	)	PUNCT
bracis-28354	224	37	are	be	AUX
bracis-28354	224	38	linear	linear	ADJ
bracis-28354	224	39	constraints	constraint	NOUN
bracis-28354	224	40	,	,	PUNCT
bracis-28354	224	41	the	the	DET
bracis-28354	224	42	unsatisfiability	unsatisfiability	NOUN
bracis-28354	224	43	checkings	checking	NOUN
bracis-28354	224	44	can	can	AUX
bracis-28354	224	45	be	be	AUX
bracis-28354	224	46	achieved	achieve	VERB
bracis-28354	224	47	by	by	ADP
bracis-28354	224	48	two	two	NUM
bracis-28354	224	49	queries	query	NOUN
bracis-28354	224	50	answered	answer	VERB
bracis-28354	224	51	by	by	ADP
bracis-28354	224	52	a	a	DET
bracis-28354	224	53	linear	linear	ADJ
bracis-28354	224	54	programming	programming	NOUN
bracis-28354	224	55	(	(	PUNCT
bracis-28354	224	56	lp	lp	NOUN
bracis-28354	224	57	)	)	PUNCT
bracis-28354	224	58	solver	solver	ADV
bracis-28354	224	59	.	.	PUNCT
bracis-28354	225	1	therefore	therefore	ADV
bracis-28354	225	2	,	,	PUNCT
bracis-28354	225	3	if	if	SCONJ
bracis-28354	225	4	,	,	PUNCT
bracis-28354	225	5	for	for	ADP
bracis-28354	225	6	example	example	NOUN
bracis-28354	225	7	,	,	PUNCT
bracis-28354	225	8	the	the	DET
bracis-28354	225	9	set	set	NOUN
bracis-28354	225	10	of	of	ADP
bracis-28354	225	11	linear	linear	PROPN
bracis-28354	225	12	constraints	constraint	NOUN
bracis-28354	225	13	\((e	\((e	PRON
bracis-28354	225	14	\setminus	\setminus	PROPN
bracis-28354	225	15	\{f_i	\{f_i	X
bracis-28354	225	16	=	=	SYM
bracis-28354	225	17	x_i\	x_i\	PROPN
bracis-28354	225	18	}	}	PUNCT
bracis-28354	225	19	)	)	PUNCT
bracis-28354	225	20	\cup	\cup	VERB
bracis-28354	225	21	d	d	NOUN
bracis-28354	225	22	\cup	\cup	PROPN
bracis-28354	225	23	\{\lnot	\{\lnot	PRON
bracis-28354	225	24	p_1\}\	p_1\}\	NOUN
bracis-28354	225	25	)	)	PUNCT
bracis-28354	225	26	has	have	VERB
bracis-28354	225	27	a	a	DET
bracis-28354	225	28	solution	solution	NOUN
bracis-28354	225	29	,	,	PUNCT
bracis-28354	225	30	then	then	ADV
bracis-28354	225	31	\((e	\((e	PUNCT
bracis-28354	225	32	\setminus	\setminus	PROPN
bracis-28354	225	33	\{f_i	\{f_i	NOUN
bracis-28354	225	34	=	=	SYM
bracis-28354	225	35	x_i\	x_i\	PROPN
bracis-28354	225	36	}	}	PUNCT
bracis-28354	225	37	)	)	PUNCT
bracis-28354	225	38	\cup	\cup	VERB
bracis-28354	225	39	d	d	PUNCT
bracis-28354	225	40	\not	\not	ADV
bracis-28354	225	41	\models	\models	PROPN
bracis-28354	225	42	p\	p\	NOUN
bracis-28354	225	43	)	)	PUNCT
bracis-28354	225	44	.	.	PUNCT
bracis-28354	226	1	from	from	ADP
bracis-28354	226	2	a	a	DET
bracis-28354	226	3	computational	computational	ADJ
bracis-28354	226	4	complexity	complexity	NOUN
bracis-28354	226	5	viewpoint	viewpoint	NOUN
bracis-28354	226	6	,	,	PUNCT
bracis-28354	226	7	the	the	DET
bracis-28354	226	8	linear	linear	ADJ
bracis-28354	226	9	programming	programming	NOUN
bracis-28354	226	10	problem	problem	NOUN
bracis-28354	226	11	is	be	AUX
bracis-28354	226	12	solvable	solvable	ADJ
bracis-28354	226	13	in	in	ADP
bracis-28354	226	14	polynomial	polynomial	ADJ
bracis-28354	226	15	time	time	NOUN
bracis-28354	226	16	.	.	PUNCT
bracis-28354	227	1	then	then	ADV
bracis-28354	227	2	,	,	PUNCT
bracis-28354	227	3	our	our	PRON
bracis-28354	227	4	approach	approach	NOUN
bracis-28354	227	5	for	for	ADP
bracis-28354	227	6	computing	compute	VERB
bracis-28354	227	7	minimal	minimal	ADJ
bracis-28354	227	8	explanations	explanation	NOUN
bracis-28354	227	9	for	for	ADP
bracis-28354	227	10	linear	linear	PROPN
bracis-28354	227	11	svcs	svcs	PROPN
bracis-28354	227	12	with	with	ADP
bracis-28354	227	13	reject	reject	NOUN
bracis-28354	227	14	option	option	NOUN
bracis-28354	227	15	can	can	AUX
bracis-28354	227	16	also	also	ADV
bracis-28354	227	17	be	be	AUX
bracis-28354	227	18	solved	solve	VERB
bracis-28354	227	19	in	in	ADP
bracis-28354	227	20	polynomial	polynomial	ADJ
bracis-28354	227	21	time	time	NOUN
bracis-28354	227	22	.	.	PUNCT
bracis-28354	228	1	this	this	PRON
bracis-28354	228	2	is	be	AUX
bracis-28354	228	3	achieved	achieve	VERB
bracis-28354	228	4	by	by	ADP
bracis-28354	228	5	a	a	DET
bracis-28354	228	6	linear	linear	ADJ
bracis-28354	228	7	number	number	NOUN
bracis-28354	228	8	of	of	ADP
bracis-28354	228	9	calls	call	NOUN
bracis-28354	228	10	to	to	ADP
bracis-28354	228	11	an	an	DET
bracis-28354	228	12	lp	lp	NOUN
bracis-28354	228	13	solver	solver	NOUN
bracis-28354	228	14	,	,	PUNCT
bracis-28354	228	15	which	which	PRON
bracis-28354	228	16	further	far	ADV
bracis-28354	228	17	contributes	contribute	VERB
bracis-28354	228	18	to	to	ADP
bracis-28354	228	19	the	the	DET
bracis-28354	228	20	efficiency	efficiency	NOUN
bracis-28354	228	21	and	and	CCONJ
bracis-28354	228	22	feasibility	feasibility	NOUN
bracis-28354	228	23	of	of	ADP
bracis-28354	228	24	our	our	PRON
bracis-28354	228	25	approach	approach	NOUN
bracis-28354	228	26	.	.	PUNCT
bracis-28354	229	1	5	5	NUM
bracis-28354	229	2	experiments	experiment	NOUN
bracis-28354	229	3	in	in	ADP
bracis-28354	229	4	this	this	DET
bracis-28354	229	5	paper	paper	NOUN
bracis-28354	229	6	,	,	PUNCT
bracis-28354	229	7	a	a	DET
bracis-28354	229	8	total	total	NOUN
bracis-28354	229	9	of	of	ADP
bracis-28354	229	10	6	6	NUM
bracis-28354	229	11	well	well	ADV
bracis-28354	229	12	known	know	VERB
bracis-28354	229	13	datasets	dataset	NOUN
bracis-28354	229	14	are	be	AUX
bracis-28354	229	15	used	use	VERB
bracis-28354	229	16	.	.	PUNCT
bracis-28354	230	1	the	the	DET
bracis-28354	230	2	vertebral	vertebral	ADJ
bracis-28354	230	3	column	column	NOUN
bracis-28354	230	4	and	and	CCONJ
bracis-28354	230	5	the	the	DET
bracis-28354	230	6	sonar	sonar	ADJ
bracis-28354	230	7	datasets	dataset	NOUN
bracis-28354	230	8	are	be	AUX
bracis-28354	230	9	available	available	ADJ
bracis-28354	230	10	on	on	ADP
bracis-28354	230	11	the	the	DET
bracis-28354	230	12	uci	uci	PROPN
bracis-28354	230	13	machine	machine	NOUN
bracis-28354	230	14	learning	learning	NOUN
bracis-28354	230	15	repositoryfootnote	repositoryfootnote	VERB
bracis-28354	230	16	1	1	NUM
bracis-28354	230	17	.	.	PUNCT
bracis-28354	231	1	the	the	DET
bracis-28354	231	2	pima	pima	PROPN
bracis-28354	231	3	indians	indians	PROPN
bracis-28354	231	4	diabetes	diabete	VERB
bracis-28354	231	5	dataset	dataset	NOUN
bracis-28354	231	6	is	be	AUX
bracis-28354	231	7	available	available	ADJ
bracis-28354	231	8	on	on	ADP
bracis-28354	231	9	kagglefootnote	kagglefootnote	PROPN
bracis-28354	231	10	2	2	NUM
bracis-28354	231	11	.	.	PUNCT
bracis-28354	232	1	the	the	DET
bracis-28354	232	2	iris	iris	NOUN
bracis-28354	232	3	,	,	PUNCT
bracis-28354	232	4	the	the	DET
bracis-28354	232	5	breast	breast	NOUN
bracis-28354	232	6	cancer	cancer	NOUN
bracis-28354	232	7	wisconsin	wisconsin	PROPN
bracis-28354	232	8	,	,	PUNCT
bracis-28354	232	9	and	and	CCONJ
bracis-28354	232	10	the	the	DET
bracis-28354	232	11	wine	wine	NOUN
bracis-28354	232	12	datasets	dataset	NOUN
bracis-28354	232	13	are	be	AUX
bracis-28354	232	14	available	available	ADJ
bracis-28354	232	15	through	through	ADP
bracis-28354	232	16	the	the	DET
bracis-28354	232	17	scikit	scikit	NOUN
bracis-28354	232	18	-	-	PUNCT
bracis-28354	232	19	learn	learn	VERB
bracis-28354	232	20	packagefootnote	packagefootnote	NOUN
bracis-28354	232	21	3	3	X
bracis-28354	232	22	.	.	PUNCT
bracis-28354	233	1	as	as	ADP
bracis-28354	233	2	a	a	DET
bracis-28354	233	3	standard	standard	ADJ
bracis-28354	233	4	procedure	procedure	NOUN
bracis-28354	233	5	,	,	PUNCT
bracis-28354	233	6	all	all	DET
bracis-28354	233	7	features	feature	NOUN
bracis-28354	233	8	were	be	AUX
bracis-28354	233	9	scaled	scale	VERB
bracis-28354	233	10	to	to	PART
bracis-28354	233	11	range	range	VERB
bracis-28354	233	12	[	[	X
bracis-28354	233	13	0	0	NUM
bracis-28354	233	14	,	,	PUNCT
bracis-28354	233	15	 	 	SPACE
bracis-28354	233	16	1	1	NUM
bracis-28354	233	17	]	]	PUNCT
bracis-28354	233	18	.	.	PUNCT
bracis-28354	234	1	to	to	PART
bracis-28354	234	2	maintain	maintain	VERB
bracis-28354	234	3	the	the	DET
bracis-28354	234	4	\(\{-1	\(\{-1	NOUN
bracis-28354	234	5	,	,	PUNCT
bracis-28354	234	6	+1\}\	+1\}\	NOUN
bracis-28354	234	7	)	)	PUNCT
bracis-28354	234	8	class	class	NOUN
bracis-28354	234	9	domain	domain	NOUN
bracis-28354	234	10	in	in	ADP
bracis-28354	234	11	our	our	PRON
bracis-28354	234	12	context	context	NOUN
bracis-28354	234	13	of	of	ADP
bracis-28354	234	14	binary	binary	ADJ
bracis-28354	234	15	classification	classification	NOUN
bracis-28354	234	16	,	,	PUNCT
bracis-28354	234	17	the	the	DET
bracis-28354	234	18	iris	iris	NOUN
bracis-28354	234	19	and	and	CCONJ
bracis-28354	234	20	the	the	DET
bracis-28354	234	21	wine	wine	NOUN
bracis-28354	234	22	dataset	dataset	NOUN
bracis-28354	234	23	(	(	PUNCT
bracis-28354	234	24	each	each	PRON
bracis-28354	234	25	with	with	ADP
bracis-28354	234	26	three	three	NUM
bracis-28354	234	27	classes	class	NOUN
bracis-28354	234	28	)	)	PUNCT
bracis-28354	234	29	were	be	AUX
bracis-28354	234	30	binarized	binarize	VERB
bracis-28354	234	31	,	,	PUNCT
bracis-28354	234	32	changed	change	VERB
bracis-28354	234	33	to	to	ADP
bracis-28354	234	34	setosa	setosa	NOUN
bracis-28354	234	35	-	-	PUNCT
bracis-28354	234	36	versus	versus	NOUN
bracis-28354	234	37	-	-	PUNCT
bracis-28354	234	38	all	all	PRON
bracis-28354	234	39	and	and	CCONJ
bracis-28354	234	40	class_0	class_0	ADJ
bracis-28354	234	41	-	-	PUNCT
bracis-28354	234	42	versus	versus	NOUN
bracis-28354	234	43	-	-	PUNCT
bracis-28354	234	44	all	all	PRON
bracis-28354	234	45	,	,	PUNCT
bracis-28354	234	46	respectively	respectively	ADV
bracis-28354	234	47	.	.	PUNCT
bracis-28354	235	1	the	the	DET
bracis-28354	235	2	other	other	ADJ
bracis-28354	235	3	datasets	dataset	NOUN
bracis-28354	235	4	are	be	AUX
bracis-28354	235	5	already	already	ADV
bracis-28354	235	6	binary	binary	ADJ
bracis-28354	235	7	.	.	PUNCT
bracis-28354	236	1	the	the	DET
bracis-28354	236	2	classes	class	NOUN
bracis-28354	236	3	were	be	AUX
bracis-28354	236	4	changed	change	VERB
bracis-28354	236	5	to	to	PART
bracis-28354	236	6	follow	follow	VERB
bracis-28354	236	7	values	value	NOUN
bracis-28354	236	8	in	in	ADP
bracis-28354	236	9	\(\{-1	\(\{-1	NOUN
bracis-28354	236	10	,	,	PUNCT
bracis-28354	236	11	+1\}\	+1\}\	PROPN
bracis-28354	236	12	)	)	PUNCT
bracis-28354	236	13	.	.	PUNCT
bracis-28354	237	1	a	a	DET
bracis-28354	237	2	summary	summary	NOUN
bracis-28354	237	3	of	of	ADP
bracis-28354	237	4	the	the	DET
bracis-28354	237	5	datasets	dataset	NOUN
bracis-28354	237	6	is	be	AUX
bracis-28354	237	7	presented	present	VERB
bracis-28354	237	8	in	in	ADP
bracis-28354	237	9	table	table	NOUN
bracis-28354	237	10	 	 	SPACE
bracis-28354	237	11	1	1	NUM
bracis-28354	237	12	.	.	PUNCT
bracis-28354	237	13	table	table	NOUN
bracis-28354	237	14	1	1	NUM
bracis-28354	237	15	.	.	PUNCT
bracis-28354	238	1	datasets	dataset	NOUN
bracis-28354	238	2	details.full	details.full	ADJ
bracis-28354	238	3	size	size	NOUN
bracis-28354	238	4	table	table	NOUN
bracis-28354	238	5	the	the	DET
bracis-28354	238	6	classifiers	classifier	NOUN
bracis-28354	238	7	.	.	PUNCT
bracis-28354	239	1	for	for	ADP
bracis-28354	239	2	each	each	DET
bracis-28354	239	3	dataset	dataset	NOUN
bracis-28354	239	4	,	,	PUNCT
bracis-28354	239	5	a	a	DET
bracis-28354	239	6	linear	linear	ADJ
bracis-28354	239	7	svc	svc	NOUN
bracis-28354	239	8	was	be	AUX
bracis-28354	239	9	trained	train	VERB
bracis-28354	239	10	based	base	VERB
bracis-28354	239	11	on	on	ADP
bracis-28354	239	12	70	70	NUM
bracis-28354	239	13	%	%	NOUN
bracis-28354	239	14	of	of	ADP
bracis-28354	239	15	the	the	DET
bracis-28354	239	16	original	original	ADJ
bracis-28354	239	17	data	datum	NOUN
bracis-28354	239	18	,	,	PUNCT
bracis-28354	239	19	to	to	PART
bracis-28354	239	20	simulate	simulate	VERB
bracis-28354	239	21	how	how	SCONJ
bracis-28354	239	22	a	a	DET
bracis-28354	239	23	model	model	NOUN
bracis-28354	239	24	would	would	AUX
bracis-28354	239	25	be	be	AUX
bracis-28354	239	26	trained	train	VERB
bracis-28354	239	27	for	for	ADP
bracis-28354	239	28	usage	usage	NOUN
bracis-28354	239	29	in	in	ADP
bracis-28354	239	30	real	real	ADJ
bracis-28354	239	31	-	-	PUNCT
bracis-28354	239	32	world	world	NOUN
bracis-28354	239	33	problems	problem	NOUN
bracis-28354	239	34	,	,	PUNCT
bracis-28354	239	35	with	with	ADP
bracis-28354	239	36	a	a	DET
bracis-28354	239	37	regularization	regularization	NOUN
bracis-28354	239	38	parameter	parameter	NOUN
bracis-28354	239	39	\(c=1\	\(c=1\	NOUN
bracis-28354	239	40	)	)	PUNCT
bracis-28354	239	41	and	and	CCONJ
bracis-28354	239	42	stratified	stratified	ADJ
bracis-28354	239	43	sampling	sampling	NOUN
bracis-28354	239	44	.	.	PUNCT
bracis-28354	240	1	for	for	ADP
bracis-28354	240	2	finding	find	VERB
bracis-28354	240	3	the	the	DET
bracis-28354	240	4	rejection	rejection	NOUN
bracis-28354	240	5	region	region	NOUN
bracis-28354	240	6	,	,	PUNCT
bracis-28354	240	7	a	a	DET
bracis-28354	240	8	value	value	NOUN
bracis-28354	240	9	of	of	ADP
bracis-28354	240	10	\(w_r	\(w_r	NOUN
bracis-28354	240	11	=	=	SYM
bracis-28354	240	12	0.24\	0.24\	PROPN
bracis-28354	240	13	)	)	PUNCT
bracis-28354	240	14	was	be	AUX
bracis-28354	240	15	used	use	VERB
bracis-28354	240	16	together	together	ADV
bracis-28354	240	17	with	with	ADP
bracis-28354	240	18	the	the	DET
bracis-28354	240	19	decision	decision	NOUN
bracis-28354	240	20	function	function	NOUN
bracis-28354	240	21	outputs	output	NOUN
bracis-28354	240	22	based	base	VERB
bracis-28354	240	23	on	on	ADP
bracis-28354	240	24	training	training	NOUN
bracis-28354	240	25	data	datum	NOUN
bracis-28354	240	26	.	.	PUNCT
bracis-28354	241	1	although	although	SCONJ
bracis-28354	241	2	the	the	DET
bracis-28354	241	3	value	value	NOUN
bracis-28354	241	4	itself	itself	PRON
bracis-28354	241	5	is	be	AUX
bracis-28354	241	6	not	not	PART
bracis-28354	241	7	too	too	ADV
bracis-28354	241	8	important	important	ADJ
bracis-28354	241	9	for	for	ADP
bracis-28354	241	10	our	our	PRON
bracis-28354	241	11	purposes	purpose	NOUN
bracis-28354	241	12	,	,	PUNCT
bracis-28354	241	13	it	it	PRON
bracis-28354	241	14	was	be	AUX
bracis-28354	241	15	chosen	choose	VERB
bracis-28354	241	16	to	to	PART
bracis-28354	241	17	ensure	ensure	VERB
bracis-28354	241	18	that	that	SCONJ
bracis-28354	241	19	rejections	rejection	NOUN
bracis-28354	241	20	are	be	AUX
bracis-28354	241	21	neither	neither	PRON
bracis-28354	241	22	penalized	penalize	VERB
bracis-28354	241	23	too	too	ADV
bracis-28354	241	24	softly	softly	ADV
bracis-28354	241	25	nor	nor	CCONJ
bracis-28354	241	26	too	too	ADV
bracis-28354	241	27	harshly	harshly	ADV
bracis-28354	241	28	,	,	PUNCT
bracis-28354	241	29	resulting	result	VERB
bracis-28354	241	30	in	in	ADP
bracis-28354	241	31	some	some	DET
bracis-28354	241	32	rejected	reject	VERB
bracis-28354	241	33	outputs	output	NOUN
bracis-28354	241	34	.	.	PUNCT
bracis-28354	242	1	the	the	DET
bracis-28354	242	2	selected	select	VERB
bracis-28354	242	3	rejection	rejection	NOUN
bracis-28354	242	4	thresholds	threshold	NOUN
bracis-28354	242	5	were	be	AUX
bracis-28354	242	6	obtained	obtain	VERB
bracis-28354	242	7	by	by	ADP
bracis-28354	242	8	minimizing	minimize	VERB
bracis-28354	242	9	\(\hat{r}\	\(\hat{r}\	PROPN
bracis-28354	242	10	)	)	PUNCT
bracis-28354	242	11	,	,	PUNCT
bracis-28354	242	12	as	as	SCONJ
bracis-28354	242	13	described	describe	VERB
bracis-28354	242	14	in	in	ADP
bracis-28354	242	15	subsect	subsect	NOUN
bracis-28354	242	16	.	.	PUNCT
bracis-28354	243	1	2.3	2.3	NUM
bracis-28354	243	2	.	.	PUNCT
bracis-28354	244	1	for	for	ADP
bracis-28354	244	2	defining	define	VERB
bracis-28354	244	3	the	the	DET
bracis-28354	244	4	values	value	NOUN
bracis-28354	244	5	of	of	ADP
bracis-28354	244	6	\(t_+\	\(t_+\	ADJ
bracis-28354	244	7	)	)	PUNCT
bracis-28354	244	8	and	and	CCONJ
bracis-28354	244	9	\(t_-\	\(t_-\	PROPN
bracis-28354	244	10	)	)	PUNCT
bracis-28354	244	11	,	,	PUNCT
bracis-28354	244	12	we	we	PRON
bracis-28354	244	13	determine	determine	VERB
bracis-28354	244	14	a	a	DET
bracis-28354	244	15	range	range	NOUN
bracis-28354	244	16	of	of	ADP
bracis-28354	244	17	thresholds	threshold	NOUN
bracis-28354	244	18	\(t	\(t	NOUN
bracis-28354	244	19	=	=	PUNCT
bracis-28354	245	1	\{(t_{+}^{1	\{(t_{+}^{1	ADJ
bracis-28354	245	2	}	}	PUNCT
bracis-28354	245	3	,	,	PUNCT
bracis-28354	245	4	t_{-}^{1	t_{-}^{1	NOUN
bracis-28354	245	5	}	}	PUNCT
bracis-28354	245	6	)	)	PUNCT
bracis-28354	245	7	,	,	PUNCT
bracis-28354	245	8	...	...	PUNCT
bracis-28354	245	9	,	,	PUNCT
bracis-28354	245	10	(	(	PUNCT
bracis-28354	245	11	t_{+}^{p},t_{-}^{p})\}\	t_{+}^{p},t_{-}^{p})\}\	NOUN
bracis-28354	245	12	)	)	PUNCT
bracis-28354	245	13	containing	contain	VERB
bracis-28354	245	14	the	the	DET
bracis-28354	245	15	respective	respective	ADJ
bracis-28354	245	16	possible	possible	ADJ
bracis-28354	245	17	candidates	candidate	NOUN
bracis-28354	245	18	.	.	PUNCT
bracis-28354	246	1	the	the	DET
bracis-28354	246	2	maximum	maximum	ADJ
bracis-28354	246	3	absolute	absolute	ADJ
bracis-28354	246	4	value	value	NOUN
bracis-28354	246	5	for	for	ADP
bracis-28354	246	6	\(t_+\	\(t_+\	ADJ
bracis-28354	246	7	)	)	PUNCT
bracis-28354	246	8	and	and	CCONJ
bracis-28354	246	9	\(t_-\	\(t_-\	PROPN
bracis-28354	246	10	)	)	PUNCT
bracis-28354	246	11	in	in	ADP
bracis-28354	246	12	t	t	PROPN
bracis-28354	246	13	,	,	PUNCT
bracis-28354	246	14	respectively	respectively	ADV
bracis-28354	246	15	,	,	PUNCT
bracis-28354	246	16	is	be	AUX
bracis-28354	246	17	the	the	DET
bracis-28354	246	18	highest	high	ADJ
bracis-28354	246	19	and	and	CCONJ
bracis-28354	246	20	lowest	low	ADJ
bracis-28354	246	21	output	output	NOUN
bracis-28354	246	22	value	value	NOUN
bracis-28354	246	23	of	of	ADP
bracis-28354	246	24	the	the	DET
bracis-28354	246	25	decision	decision	NOUN
bracis-28354	246	26	function	function	NOUN
bracis-28354	246	27	,	,	PUNCT
bracis-28354	246	28	i.e.	i.e.	X
bracis-28354	246	29	the	the	DET
bracis-28354	246	30	\(upper\_limit\	\(upper\_limit\	NOUN
bracis-28354	246	31	)	)	PUNCT
bracis-28354	246	32	and	and	CCONJ
bracis-28354	246	33	the	the	DET
bracis-28354	246	34	\(lower\_limit\	\(lower\_limit\	PROPN
bracis-28354	246	35	)	)	PUNCT
bracis-28354	246	36	,	,	PUNCT
bracis-28354	246	37	based	base	VERB
bracis-28354	246	38	on	on	ADP
bracis-28354	246	39	the	the	DET
bracis-28354	246	40	training	training	NOUN
bracis-28354	246	41	instances	instance	NOUN
bracis-28354	246	42	.	.	PUNCT
bracis-28354	247	1	we	we	PRON
bracis-28354	247	2	use	use	VERB
bracis-28354	247	3	decision	decision	NOUN
bracis-28354	247	4	function	function	NOUN
bracis-28354	247	5	output	output	NOUN
bracis-28354	247	6	values	value	NOUN
bracis-28354	247	7	to	to	PART
bracis-28354	247	8	achieve	achieve	VERB
bracis-28354	247	9	a	a	DET
bracis-28354	247	10	reasonable	reasonable	ADJ
bracis-28354	247	11	reject	reject	NOUN
bracis-28354	247	12	region	region	NOUN
bracis-28354	247	13	,	,	PUNCT
bracis-28354	247	14	that	that	PRON
bracis-28354	247	15	is	be	AUX
bracis-28354	247	16	able	able	ADJ
bracis-28354	247	17	to	to	PART
bracis-28354	247	18	properly	properly	ADV
bracis-28354	247	19	reject	reject	VERB
bracis-28354	247	20	ambiguous	ambiguous	ADJ
bracis-28354	247	21	classification	classification	NOUN
bracis-28354	247	22	results	result	NOUN
bracis-28354	247	23	for	for	ADP
bracis-28354	247	24	both	both	CCONJ
bracis-28354	247	25	known	known	ADJ
bracis-28354	247	26	and	and	CCONJ
bracis-28354	247	27	unknown	unknown	ADJ
bracis-28354	247	28	data	datum	NOUN
bracis-28354	247	29	.	.	PUNCT
bracis-28354	248	1	thus	thus	ADV
bracis-28354	248	2	,	,	PUNCT
bracis-28354	248	3	the	the	DET
bracis-28354	248	4	attainable	attainable	ADJ
bracis-28354	248	5	thresholds	threshold	NOUN
bracis-28354	248	6	are	be	AUX
bracis-28354	248	7	achieved	achieve	VERB
bracis-28354	248	8	through	through	ADP
bracis-28354	248	9	\(t	\(t	NOUN
bracis-28354	248	10	=	=	PUNCT
bracis-28354	248	11	\{(i	\{(i	PROPN
bracis-28354	248	12	\cdot	\cdot	NOUN
bracis-28354	248	13	0.01	0.01	NUM
bracis-28354	248	14	\cdot	\cdot	PROPN
bracis-28354	248	15	upper\_limit,\text	upper\_limit,\text	ADV
bracis-28354	248	16	{	{	PUNCT
bracis-28354	248	17	}	}	PUNCT
bracis-28354	248	18	i	i	PRON
bracis-28354	248	19	\cdot	\cdot	NOUN
bracis-28354	248	20	0.01	0.01	NUM
bracis-28354	248	21	\cdot	\cdot	NOUN
bracis-28354	248	22	lower\_limit	lower\_limit	PUNCT
bracis-28354	248	23	)	)	PUNCT
bracis-28354	248	24	\mid	\mid	ADP
bracis-28354	248	25	i	i	PRON
bracis-28354	248	26	\in	\in	PROPN
bracis-28354	248	27	\{1	\{1	PROPN
bracis-28354	248	28	,	,	PUNCT
bracis-28354	248	29	...	...	PUNCT
bracis-28354	248	30	,	,	PUNCT
bracis-28354	248	31	100\	100\	NUM
bracis-28354	248	32	}	}	PUNCT
bracis-28354	248	33	\}\	\}\	NOUN
bracis-28354	248	34	)	)	PUNCT
bracis-28354	248	35	.	.	PUNCT
bracis-28354	249	1	hence	hence	ADV
bracis-28354	249	2	,	,	PUNCT
bracis-28354	249	3	the	the	DET
bracis-28354	249	4	selected	select	VERB
bracis-28354	249	5	values	value	NOUN
bracis-28354	249	6	of	of	ADP
bracis-28354	249	7	\(t_+\	\(t_+\	ADJ
bracis-28354	249	8	)	)	PUNCT
bracis-28354	249	9	and	and	CCONJ
bracis-28354	249	10	\(t_-\	\(t_-\	PROPN
bracis-28354	249	11	)	)	PUNCT
bracis-28354	249	12	are	be	AUX
bracis-28354	249	13	the	the	DET
bracis-28354	249	14	pair	pair	NOUN
bracis-28354	249	15	that	that	PRON
bracis-28354	249	16	minimizes	minimize	VERB
bracis-28354	249	17	\(\hat{r}\	\(\hat{r}\	NOUN
bracis-28354	249	18	)	)	PUNCT
bracis-28354	249	19	.	.	PUNCT
bracis-28354	250	1	for	for	ADP
bracis-28354	250	2	each	each	DET
bracis-28354	250	3	dataset	dataset	NOUN
bracis-28354	250	4	,	,	PUNCT
bracis-28354	250	5	we	we	PRON
bracis-28354	250	6	obtained	obtain	VERB
bracis-28354	250	7	the	the	DET
bracis-28354	250	8	best	good	ADJ
bracis-28354	250	9	reject	reject	NOUN
bracis-28354	250	10	region	region	NOUN
bracis-28354	250	11	defined	define	VERB
bracis-28354	250	12	by	by	ADP
bracis-28354	250	13	\(t_+\	\(t_+\	X
bracis-28354	250	14	)	)	PUNCT
bracis-28354	250	15	and	and	CCONJ
bracis-28354	250	16	\(t_-\	\(t_-\	PROPN
bracis-28354	250	17	)	)	PUNCT
bracis-28354	250	18	,	,	PUNCT
bracis-28354	250	19	the	the	DET
bracis-28354	250	20	test	test	NOUN
bracis-28354	250	21	accuracy	accuracy	NOUN
bracis-28354	250	22	of	of	ADP
bracis-28354	250	23	the	the	DET
bracis-28354	250	24	classifier	classifier	NOUN
bracis-28354	250	25	with	with	ADP
bracis-28354	250	26	ro	ro	PROPN
bracis-28354	250	27	,	,	PUNCT
bracis-28354	250	28	and	and	CCONJ
bracis-28354	250	29	the	the	DET
bracis-28354	250	30	rejection	rejection	NOUN
bracis-28354	250	31	ratio	ratio	NOUN
bracis-28354	250	32	based	base	VERB
bracis-28354	250	33	on	on	ADP
bracis-28354	250	34	test	test	NOUN
bracis-28354	250	35	data	datum	NOUN
bracis-28354	250	36	.	.	PUNCT
bracis-28354	251	1	the	the	DET
bracis-28354	251	2	test	test	NOUN
bracis-28354	251	3	accuracy	accuracy	NOUN
bracis-28354	251	4	of	of	ADP
bracis-28354	251	5	a	a	DET
bracis-28354	251	6	classifier	classifier	NOUN
bracis-28354	251	7	with	with	ADP
bracis-28354	251	8	ro	ro	PROPN
bracis-28354	251	9	is	be	AUX
bracis-28354	251	10	the	the	DET
bracis-28354	251	11	standard	standard	ADJ
bracis-28354	251	12	test	test	NOUN
bracis-28354	251	13	accuracy	accuracy	NOUN
bracis-28354	251	14	applied	apply	VERB
bracis-28354	251	15	only	only	ADV
bracis-28354	251	16	to	to	ADP
bracis-28354	251	17	non	non	ADJ
bracis-28354	251	18	-	-	ADJ
bracis-28354	251	19	rejected	reject	VERB
bracis-28354	251	20	instances	instance	NOUN
bracis-28354	251	21	.	.	PUNCT
bracis-28354	252	1	afterward	afterward	ADV
bracis-28354	252	2	,	,	PUNCT
bracis-28354	252	3	we	we	PRON
bracis-28354	252	4	determine	determine	VERB
bracis-28354	252	5	the	the	DET
bracis-28354	252	6	number	number	NOUN
bracis-28354	252	7	of	of	ADP
bracis-28354	252	8	instances	instance	NOUN
bracis-28354	252	9	per	per	ADP
bracis-28354	252	10	class	class	NOUN
bracis-28354	252	11	from	from	ADP
bracis-28354	252	12	both	both	PRON
bracis-28354	252	13	training	training	NOUN
bracis-28354	252	14	and	and	CCONJ
bracis-28354	252	15	test	test	NOUN
bracis-28354	252	16	data	datum	NOUN
bracis-28354	252	17	,	,	PUNCT
bracis-28354	252	18	i.e.	i.e.	X
bracis-28354	252	19	the	the	DET
bracis-28354	252	20	entire	entire	ADJ
bracis-28354	252	21	datasets	dataset	NOUN
bracis-28354	252	22	.	.	PUNCT
bracis-28354	253	1	table	table	NOUN
bracis-28354	253	2	 	 	SPACE
bracis-28354	253	3	2	2	NUM
bracis-28354	253	4	details	detail	NOUN
bracis-28354	253	5	these	these	DET
bracis-28354	253	6	results	result	NOUN
bracis-28354	253	7	and	and	CCONJ
bracis-28354	253	8	also	also	ADV
bracis-28354	253	9	the	the	DET
bracis-28354	253	10	test	test	NOUN
bracis-28354	253	11	accuracy	accuracy	NOUN
bracis-28354	253	12	of	of	ADP
bracis-28354	253	13	the	the	DET
bracis-28354	253	14	classifier	classifier	NOUN
bracis-28354	253	15	without	without	ADP
bracis-28354	253	16	reject	reject	NOUN
bracis-28354	253	17	option	option	NOUN
bracis-28354	253	18	.	.	PUNCT
bracis-28354	254	1	table	table	NOUN
bracis-28354	254	2	2	2	NUM
bracis-28354	254	3	.	.	X
bracis-28354	254	4	reject	reject	VERB
bracis-28354	254	5	region	region	NOUN
bracis-28354	254	6	thresholds	threshold	NOUN
bracis-28354	254	7	using	use	VERB
bracis-28354	254	8	training	training	NOUN
bracis-28354	254	9	data	datum	NOUN
bracis-28354	254	10	.	.	PUNCT
bracis-28354	255	1	classifier	classifier	NOUN
bracis-28354	255	2	accuracy	accuracy	NOUN
bracis-28354	255	3	without	without	ADP
bracis-28354	255	4	reject	reject	NOUN
bracis-28354	255	5	option	option	NOUN
bracis-28354	255	6	,	,	PUNCT
bracis-28354	255	7	accuracy	accuracy	NOUN
bracis-28354	255	8	with	with	ADP
bracis-28354	255	9	reject	reject	NOUN
bracis-28354	255	10	option	option	NOUN
bracis-28354	255	11	,	,	PUNCT
bracis-28354	255	12	and	and	CCONJ
bracis-28354	255	13	rejection	rejection	NOUN
bracis-28354	255	14	ratio	ratio	NOUN
bracis-28354	255	15	for	for	ADP
bracis-28354	255	16	test	test	NOUN
bracis-28354	255	17	data	datum	NOUN
bracis-28354	255	18	.	.	PUNCT
bracis-28354	256	1	instances	instance	NOUN
bracis-28354	256	2	by	by	ADP
bracis-28354	256	3	class	class	NOUN
bracis-28354	256	4	for	for	ADP
bracis-28354	256	5	each	each	DET
bracis-28354	256	6	entire	entire	ADJ
bracis-28354	256	7	dataset.full	dataset.full	NOUN
bracis-28354	256	8	size	size	NOUN
bracis-28354	256	9	table	table	NOUN
bracis-28354	256	10	observe	observe	VERB
bracis-28354	256	11	that	that	SCONJ
bracis-28354	256	12	the	the	DET
bracis-28354	256	13	reject	reject	PROPN
bracis-28354	256	14	region	region	NOUN
bracis-28354	256	15	for	for	ADP
bracis-28354	256	16	the	the	DET
bracis-28354	256	17	iris	iris	NOUN
bracis-28354	256	18	dataset	dataset	NOUN
bracis-28354	256	19	did	do	AUX
bracis-28354	256	20	not	not	PART
bracis-28354	256	21	return	return	VERB
bracis-28354	256	22	any	any	DET
bracis-28354	256	23	rejected	reject	VERB
bracis-28354	256	24	instances	instance	NOUN
bracis-28354	256	25	in	in	ADP
bracis-28354	256	26	the	the	DET
bracis-28354	256	27	dataset	dataset	NOUN
bracis-28354	256	28	.	.	PUNCT
bracis-28354	257	1	this	this	PRON
bracis-28354	257	2	is	be	AUX
bracis-28354	257	3	likely	likely	ADJ
bracis-28354	257	4	due	due	ADP
bracis-28354	257	5	to	to	ADP
bracis-28354	257	6	the	the	DET
bracis-28354	257	7	problem	problem	NOUN
bracis-28354	257	8	being	be	AUX
bracis-28354	257	9	linearly	linearly	ADV
bracis-28354	257	10	separable	separable	ADJ
bracis-28354	257	11	.	.	PUNCT
bracis-28354	258	1	therefore	therefore	ADV
bracis-28354	258	2	,	,	PUNCT
bracis-28354	258	3	since	since	SCONJ
bracis-28354	258	4	our	our	PRON
bracis-28354	258	5	experiments	experiment	NOUN
bracis-28354	258	6	rely	rely	VERB
bracis-28354	258	7	on	on	ADP
bracis-28354	258	8	explaining	explain	VERB
bracis-28354	258	9	the	the	DET
bracis-28354	258	10	instances	instance	NOUN
bracis-28354	258	11	present	present	ADJ
bracis-28354	258	12	in	in	ADP
bracis-28354	258	13	the	the	DET
bracis-28354	258	14	dataset	dataset	NOUN
bracis-28354	258	15	,	,	PUNCT
bracis-28354	258	16	this	this	DET
bracis-28354	258	17	case	case	NOUN
bracis-28354	258	18	of	of	ADP
bracis-28354	258	19	the	the	DET
bracis-28354	258	20	iris	iris	NOUN
bracis-28354	258	21	dataset	dataset	NOUN
bracis-28354	258	22	is	be	AUX
bracis-28354	258	23	treated	treat	VERB
bracis-28354	258	24	as	as	SCONJ
bracis-28354	258	25	if	if	SCONJ
bracis-28354	258	26	reject	reject	NOUN
bracis-28354	258	27	option	option	NOUN
bracis-28354	258	28	is	be	AUX
bracis-28354	258	29	not	not	PART
bracis-28354	258	30	present	present	ADJ
bracis-28354	258	31	.	.	PUNCT
bracis-28354	259	1	the	the	DET
bracis-28354	259	2	reject	reject	PROPN
bracis-28354	259	3	region	region	NOUN
bracis-28354	259	4	obtained	obtain	VERB
bracis-28354	259	5	for	for	ADP
bracis-28354	259	6	the	the	DET
bracis-28354	259	7	wine	wine	NOUN
bracis-28354	259	8	dataset	dataset	NOUN
bracis-28354	259	9	did	do	AUX
bracis-28354	259	10	not	not	PART
bracis-28354	259	11	reject	reject	VERB
bracis-28354	259	12	any	any	PRON
bracis-28354	259	13	of	of	ADP
bracis-28354	259	14	the	the	DET
bracis-28354	259	15	test	test	NOUN
bracis-28354	259	16	instances	instance	NOUN
bracis-28354	259	17	,	,	PUNCT
bracis-28354	259	18	therefore	therefore	ADV
bracis-28354	259	19	having	have	VERB
bracis-28354	259	20	no	no	DET
bracis-28354	259	21	change	change	NOUN
bracis-28354	259	22	in	in	ADP
bracis-28354	259	23	accuracy	accuracy	NOUN
bracis-28354	259	24	,	,	PUNCT
bracis-28354	259	25	likely	likely	ADJ
bracis-28354	259	26	due	due	ADP
bracis-28354	259	27	to	to	ADP
bracis-28354	259	28	the	the	DET
bracis-28354	259	29	fact	fact	NOUN
bracis-28354	259	30	that	that	SCONJ
bracis-28354	259	31	the	the	DET
bracis-28354	259	32	value	value	NOUN
bracis-28354	259	33	chosen	choose	VERB
bracis-28354	259	34	for	for	ADP
bracis-28354	259	35	\(w_r\	\(w_r\	NOUN
bracis-28354	259	36	)	)	PUNCT
bracis-28354	259	37	penalizes	penalize	NOUN
bracis-28354	259	38	rejections	rejection	NOUN
bracis-28354	259	39	too	too	ADV
bracis-28354	259	40	harshly	harshly	ADV
bracis-28354	259	41	.	.	PUNCT
bracis-28354	260	1	for	for	ADP
bracis-28354	260	2	the	the	DET
bracis-28354	260	3	other	other	ADJ
bracis-28354	260	4	datasets	dataset	NOUN
bracis-28354	260	5	,	,	PUNCT
bracis-28354	260	6	the	the	DET
bracis-28354	260	7	presence	presence	NOUN
bracis-28354	260	8	of	of	ADP
bracis-28354	260	9	reject	reject	ADJ
bracis-28354	260	10	option	option	NOUN
bracis-28354	260	11	lead	lead	NOUN
bracis-28354	260	12	to	to	ADP
bracis-28354	260	13	a	a	DET
bracis-28354	260	14	higher	high	ADJ
bracis-28354	260	15	accuracy	accuracy	NOUN
bracis-28354	260	16	in	in	ADP
bracis-28354	260	17	all	all	DET
bracis-28354	260	18	cases	case	NOUN
bracis-28354	260	19	.	.	PUNCT
bracis-28354	261	1	this	this	PRON
bracis-28354	261	2	is	be	AUX
bracis-28354	261	3	expected	expect	VERB
bracis-28354	261	4	since	since	SCONJ
bracis-28354	261	5	the	the	DET
bracis-28354	261	6	rejected	reject	VERB
bracis-28354	261	7	instances	instance	NOUN
bracis-28354	261	8	are	be	AUX
bracis-28354	261	9	not	not	PART
bracis-28354	261	10	taken	take	VERB
bracis-28354	261	11	into	into	ADP
bracis-28354	261	12	account	account	NOUN
bracis-28354	261	13	for	for	ADP
bracis-28354	261	14	evaluation	evaluation	NOUN
bracis-28354	261	15	.	.	PUNCT
bracis-28354	262	1	in	in	ADP
bracis-28354	262	2	addition	addition	NOUN
bracis-28354	262	3	,	,	PUNCT
bracis-28354	262	4	there	there	PRON
bracis-28354	262	5	was	be	VERB
bracis-28354	262	6	a	a	DET
bracis-28354	262	7	substantial	substantial	ADJ
bracis-28354	262	8	increase	increase	NOUN
bracis-28354	262	9	for	for	ADP
bracis-28354	262	10	both	both	CCONJ
bracis-28354	262	11	the	the	DET
bracis-28354	262	12	vrtc	vrtc	NOUN
bracis-28354	262	13	and	and	CCONJ
bracis-28354	262	14	the	the	DET
bracis-28354	262	15	pima	pima	PROPN
bracis-28354	262	16	dataset	dataset	NOUN
bracis-28354	262	17	at	at	ADP
bracis-28354	262	18	the	the	DET
bracis-28354	262	19	cost	cost	NOUN
bracis-28354	262	20	of	of	ADP
bracis-28354	262	21	rejecting	reject	VERB
bracis-28354	262	22	roughly	roughly	ADV
bracis-28354	262	23	48	48	NUM
bracis-28354	262	24	%	%	NOUN
bracis-28354	262	25	and	and	CCONJ
bracis-28354	262	26	60	60	NUM
bracis-28354	262	27	%	%	NOUN
bracis-28354	262	28	of	of	ADP
bracis-28354	262	29	all	all	DET
bracis-28354	262	30	the	the	DET
bracis-28354	262	31	test	test	NOUN
bracis-28354	262	32	instances	instance	NOUN
bracis-28354	262	33	,	,	PUNCT
bracis-28354	262	34	respectively	respectively	ADV
bracis-28354	262	35	.	.	PUNCT
bracis-28354	263	1	different	different	ADJ
bracis-28354	263	2	values	value	NOUN
bracis-28354	263	3	for	for	ADP
bracis-28354	263	4	\(w_r\	\(w_r\	NOUN
bracis-28354	263	5	)	)	PUNCT
bracis-28354	263	6	can	can	AUX
bracis-28354	263	7	be	be	AUX
bracis-28354	263	8	used	use	VERB
bracis-28354	263	9	to	to	PART
bracis-28354	263	10	achieve	achieve	VERB
bracis-28354	263	11	desirable	desirable	ADJ
bracis-28354	263	12	results	result	NOUN
bracis-28354	263	13	,	,	PUNCT
bracis-28354	263	14	depending	depend	VERB
bracis-28354	263	15	on	on	ADP
bracis-28354	263	16	how	how	SCONJ
bracis-28354	263	17	much	much	ADJ
bracis-28354	263	18	a	a	DET
bracis-28354	263	19	rejection	rejection	NOUN
bracis-28354	263	20	must	must	AUX
bracis-28354	263	21	be	be	AUX
bracis-28354	263	22	penalized	penalize	VERB
bracis-28354	263	23	in	in	ADP
bracis-28354	263	24	each	each	DET
bracis-28354	263	25	dataset	dataset	NOUN
bracis-28354	263	26	.	.	PUNCT
bracis-28354	264	1	anchors	anchor	NOUN
bracis-28354	264	2	.	.	PUNCT
bracis-28354	265	1	we	we	PRON
bracis-28354	265	2	compared	compare	VERB
bracis-28354	265	3	our	our	PRON
bracis-28354	265	4	approach	approach	NOUN
bracis-28354	265	5	against	against	ADP
bracis-28354	265	6	the	the	DET
bracis-28354	265	7	heuristic	heuristic	ADJ
bracis-28354	265	8	method	method	NOUN
bracis-28354	265	9	anchors	anchor	NOUN
bracis-28354	265	10	for	for	ADP
bracis-28354	265	11	computing	compute	VERB
bracis-28354	265	12	explanations	explanation	NOUN
bracis-28354	265	13	.	.	PUNCT
bracis-28354	266	1	anchors	anchor	NOUN
bracis-28354	266	2	was	be	AUX
bracis-28354	266	3	designed	design	VERB
bracis-28354	266	4	to	to	PART
bracis-28354	266	5	work	work	VERB
bracis-28354	266	6	with	with	ADP
bracis-28354	266	7	traditional	traditional	ADJ
bracis-28354	266	8	multiclass	multiclass	ADJ
bracis-28354	266	9	classification	classification	NOUN
bracis-28354	266	10	problems	problem	NOUN
bracis-28354	266	11	,	,	PUNCT
bracis-28354	266	12	i.e.	i.e.	X
bracis-28354	266	13	classifiers	classifier	NOUN
bracis-28354	266	14	without	without	ADP
bracis-28354	266	15	reject	reject	NOUN
bracis-28354	266	16	option	option	NOUN
bracis-28354	266	17	.	.	PUNCT
bracis-28354	267	1	since	since	SCONJ
bracis-28354	267	2	it	it	PRON
bracis-28354	267	3	was	be	AUX
bracis-28354	267	4	proposed	propose	VERB
bracis-28354	267	5	as	as	ADP
bracis-28354	267	6	a	a	DET
bracis-28354	267	7	model	model	ADJ
bracis-28354	267	8	-	-	ADJ
bracis-28354	267	9	agnostic	agnostic	ADJ
bracis-28354	267	10	method	method	NOUN
bracis-28354	267	11	for	for	ADP
bracis-28354	267	12	explaining	explain	VERB
bracis-28354	267	13	complex	complex	ADJ
bracis-28354	267	14	models	model	NOUN
bracis-28354	267	15	,	,	PUNCT
bracis-28354	267	16	it	it	PRON
bracis-28354	267	17	should	should	AUX
bracis-28354	267	18	be	be	AUX
bracis-28354	267	19	more	more	ADJ
bracis-28354	267	20	than	than	ADP
bracis-28354	267	21	enough	enough	ADJ
bracis-28354	267	22	for	for	ADP
bracis-28354	267	23	simpler	simple	ADJ
bracis-28354	267	24	models	model	NOUN
bracis-28354	267	25	such	such	ADJ
bracis-28354	267	26	as	as	ADP
bracis-28354	267	27	linear	linear	PROPN
bracis-28354	267	28	svcs	svcs	PROPN
bracis-28354	267	29	.	.	PUNCT
bracis-28354	268	1	moreover	moreover	ADV
bracis-28354	268	2	,	,	PUNCT
bracis-28354	268	3	since	since	SCONJ
bracis-28354	268	4	we	we	PRON
bracis-28354	268	5	are	be	AUX
bracis-28354	268	6	explaining	explain	VERB
bracis-28354	268	7	predictions	prediction	NOUN
bracis-28354	268	8	of	of	ADP
bracis-28354	268	9	a	a	DET
bracis-28354	268	10	linear	linear	ADJ
bracis-28354	268	11	svc	svc	NOUN
bracis-28354	268	12	with	with	ADP
bracis-28354	268	13	ro	ro	PROPN
bracis-28354	268	14	,	,	PUNCT
bracis-28354	268	15	we	we	PRON
bracis-28354	268	16	used	use	VERB
bracis-28354	268	17	the	the	DET
bracis-28354	268	18	anchors	anchor	NOUN
bracis-28354	268	19	explanation	explanation	NOUN
bracis-28354	268	20	algorithm	algorithm	NOUN
bracis-28354	268	21	to	to	PART
bracis-28354	268	22	treat	treat	VERB
bracis-28354	268	23	the	the	DET
bracis-28354	268	24	classifier	classifier	NOUN
bracis-28354	268	25	with	with	ADP
bracis-28354	268	26	reject	reject	NOUN
bracis-28354	268	27	option	option	NOUN
bracis-28354	268	28	as	as	SCONJ
bracis-28354	268	29	if	if	SCONJ
bracis-28354	268	30	it	it	PRON
bracis-28354	268	31	were	be	AUX
bracis-28354	268	32	a	a	DET
bracis-28354	268	33	traditional	traditional	ADJ
bracis-28354	268	34	classifier	classifier	NOUN
bracis-28354	268	35	with	with	ADP
bracis-28354	268	36	classes	class	NOUN
bracis-28354	268	37	in	in	ADP
bracis-28354	268	38	\(\{-1	\(\{-1	NUM
bracis-28354	268	39	,	,	PUNCT
bracis-28354	268	40	0	0	NUM
bracis-28354	268	41	,	,	PUNCT
bracis-28354	268	42	+1\}\	+1\}\	PROPN
bracis-28354	268	43	)	)	PUNCT
bracis-28354	268	44	.	.	PUNCT
bracis-28354	269	1	our	our	PRON
bracis-28354	269	2	approach	approach	NOUN
bracis-28354	269	3	.	.	PUNCT
bracis-28354	270	1	the	the	DET
bracis-28354	270	2	prototype	prototype	NOUN
bracis-28354	270	3	implementation	implementation	NOUN
bracis-28354	270	4	of	of	ADP
bracis-28354	270	5	our	our	PRON
bracis-28354	270	6	approachfootnote	approachfootnote	NOUN
bracis-28354	270	7	4	4	NUM
bracis-28354	270	8	is	be	AUX
bracis-28354	270	9	written	write	VERB
bracis-28354	270	10	in	in	ADP
bracis-28354	270	11	python	python	NOUN
bracis-28354	270	12	and	and	CCONJ
bracis-28354	270	13	follows	follow	VERB
bracis-28354	270	14	algorithm	algorithm	NOUN
bracis-28354	270	15	 	 	SPACE
bracis-28354	270	16	1	1	NUM
bracis-28354	270	17	.	.	PUNCT
bracis-28354	271	1	as	as	ADP
bracis-28354	271	2	an	an	DET
bracis-28354	271	3	lp	lp	NOUN
bracis-28354	271	4	solver	solver	NOUN
bracis-28354	271	5	to	to	PART
bracis-28354	271	6	check	check	VERB
bracis-28354	271	7	the	the	DET
bracis-28354	271	8	unsatisfiability	unsatisfiability	NOUN
bracis-28354	271	9	of	of	ADP
bracis-28354	271	10	sets	set	NOUN
bracis-28354	271	11	of	of	ADP
bracis-28354	271	12	first	first	ADJ
bracis-28354	271	13	-	-	PUNCT
bracis-28354	271	14	order	order	NOUN
bracis-28354	271	15	sentences	sentence	NOUN
bracis-28354	271	16	,	,	PUNCT
bracis-28354	271	17	we	we	PRON
bracis-28354	271	18	used	use	VERB
bracis-28354	271	19	coin	coin	NOUN
bracis-28354	271	20	-	-	PUNCT
bracis-28354	271	21	or	or	CCONJ
bracis-28354	271	22	branch	branch	NOUN
bracis-28354	271	23	-	-	PUNCT
bracis-28354	271	24	and	and	CCONJ
bracis-28354	271	25	-	-	PUNCT
bracis-28354	271	26	cut	cut	NOUN
bracis-28354	271	27	(	(	PUNCT
bracis-28354	271	28	cbc)footnote	cbc)footnote	NOUN
bracis-28354	271	29	5	5	NUM
bracis-28354	271	30	.	.	PUNCT
bracis-28354	272	1	moreover	moreover	ADV
bracis-28354	272	2	,	,	PUNCT
bracis-28354	272	3	the	the	DET
bracis-28354	272	4	solver	solver	NOUN
bracis-28354	272	5	is	be	AUX
bracis-28354	272	6	accessed	access	VERB
bracis-28354	272	7	via	via	ADP
bracis-28354	272	8	the	the	DET
bracis-28354	272	9	python	python	NOUN
bracis-28354	272	10	api	api	NOUN
bracis-28354	272	11	pulpfootnote	pulpfootnote	NOUN
bracis-28354	272	12	6	6	NUM
bracis-28354	272	13	.	.	PUNCT
bracis-28354	272	14	evaluation	evaluation	NOUN
bracis-28354	272	15	.	.	PUNCT
bracis-28354	273	1	all	all	DET
bracis-28354	273	2	instances	instance	NOUN
bracis-28354	273	3	were	be	AUX
bracis-28354	273	4	used	use	VERB
bracis-28354	273	5	for	for	ADP
bracis-28354	273	6	generating	generate	VERB
bracis-28354	273	7	explanations	explanation	NOUN
bracis-28354	273	8	,	,	PUNCT
bracis-28354	273	9	including	include	VERB
bracis-28354	273	10	both	both	CCONJ
bracis-28354	273	11	the	the	DET
bracis-28354	273	12	ones	one	NOUN
bracis-28354	273	13	used	use	VERB
bracis-28354	273	14	for	for	ADP
bracis-28354	273	15	training	training	NOUN
bracis-28354	273	16	and	and	CCONJ
bracis-28354	273	17	testing	testing	NOUN
bracis-28354	273	18	.	.	PUNCT
bracis-28354	274	1	this	this	PRON
bracis-28354	274	2	was	be	AUX
bracis-28354	274	3	done	do	VERB
bracis-28354	274	4	to	to	PART
bracis-28354	274	5	simulate	simulate	VERB
bracis-28354	274	6	scenarios	scenario	NOUN
bracis-28354	274	7	closer	close	ADV
bracis-28354	274	8	to	to	ADP
bracis-28354	274	9	real	real	ADJ
bracis-28354	274	10	-	-	PUNCT
bracis-28354	274	11	world	world	NOUN
bracis-28354	274	12	problems	problem	NOUN
bracis-28354	274	13	,	,	PUNCT
bracis-28354	274	14	where	where	SCONJ
bracis-28354	274	15	explanations	explanation	NOUN
bracis-28354	274	16	for	for	ADP
bracis-28354	274	17	both	both	PRON
bracis-28354	274	18	previously	previously	ADV
bracis-28354	274	19	known	know	VERB
bracis-28354	274	20	(	(	PUNCT
bracis-28354	274	21	training	training	NOUN
bracis-28354	274	22	)	)	PUNCT
bracis-28354	274	23	and	and	CCONJ
bracis-28354	274	24	unknown	unknown	ADJ
bracis-28354	274	25	(	(	PUNCT
bracis-28354	274	26	test	test	NOUN
bracis-28354	274	27	)	)	PUNCT
bracis-28354	274	28	data	datum	NOUN
bracis-28354	274	29	may	may	AUX
bracis-28354	274	30	prove	prove	VERB
bracis-28354	274	31	valuable	valuable	ADJ
bracis-28354	274	32	.	.	PUNCT
bracis-28354	275	1	moreover	moreover	ADV
bracis-28354	275	2	,	,	PUNCT
bracis-28354	275	3	the	the	DET
bracis-28354	275	4	main	main	ADJ
bracis-28354	275	5	focus	focus	NOUN
bracis-28354	275	6	is	be	AUX
bracis-28354	275	7	on	on	ADP
bracis-28354	275	8	explaining	explain	VERB
bracis-28354	275	9	classification	classification	NOUN
bracis-28354	275	10	results	result	NOUN
bracis-28354	275	11	rather	rather	ADV
bracis-28354	275	12	than	than	ADP
bracis-28354	275	13	model	model	NOUN
bracis-28354	275	14	evaluation	evaluation	NOUN
bracis-28354	275	15	.	.	PUNCT
bracis-28354	276	1	since	since	SCONJ
bracis-28354	276	2	a	a	DET
bracis-28354	276	3	per	per	ADP
bracis-28354	276	4	-	-	PUNCT
bracis-28354	276	5	instance	instance	NOUN
bracis-28354	276	6	explanation	explanation	NOUN
bracis-28354	276	7	is	be	AUX
bracis-28354	276	8	done	do	VERB
bracis-28354	276	9	for	for	ADP
bracis-28354	276	10	each	each	DET
bracis-28354	276	11	dataset	dataset	NOUN
bracis-28354	276	12	,	,	PUNCT
bracis-28354	276	13	both	both	PRON
bracis-28354	276	14	mean	mean	VERB
bracis-28354	276	15	elapsed	elapse	VERB
bracis-28354	276	16	time	time	NOUN
bracis-28354	276	17	(	(	PUNCT
bracis-28354	276	18	in	in	ADP
bracis-28354	276	19	seconds	second	NOUN
bracis-28354	276	20	)	)	PUNCT
bracis-28354	276	21	and	and	CCONJ
bracis-28354	276	22	the	the	DET
bracis-28354	276	23	mean	mean	NOUN
bracis-28354	276	24	of	of	ADP
bracis-28354	276	25	the	the	DET
bracis-28354	276	26	number	number	NOUN
bracis-28354	276	27	of	of	ADP
bracis-28354	276	28	features	feature	NOUN
bracis-28354	276	29	in	in	ADP
bracis-28354	276	30	explanations	explanation	NOUN
bracis-28354	276	31	are	be	AUX
bracis-28354	276	32	used	use	VERB
bracis-28354	276	33	as	as	ADP
bracis-28354	276	34	the	the	DET
bracis-28354	276	35	basis	basis	NOUN
bracis-28354	276	36	for	for	ADP
bracis-28354	276	37	comparison	comparison	NOUN
bracis-28354	276	38	.	.	PUNCT
bracis-28354	277	1	the	the	DET
bracis-28354	277	2	results	result	NOUN
bracis-28354	277	3	were	be	AUX
bracis-28354	277	4	separated	separate	VERB
bracis-28354	277	5	by	by	ADP
bracis-28354	277	6	class	class	NOUN
bracis-28354	277	7	to	to	PART
bracis-28354	277	8	better	well	ADV
bracis-28354	277	9	evaluate	evaluate	VERB
bracis-28354	277	10	and	and	CCONJ
bracis-28354	277	11	distinguish	distinguish	VERB
bracis-28354	277	12	the	the	DET
bracis-28354	277	13	rejected	reject	VERB
bracis-28354	277	14	class	class	NOUN
bracis-28354	277	15	from	from	ADP
bracis-28354	277	16	the	the	DET
bracis-28354	277	17	others	other	NOUN
bracis-28354	277	18	.	.	PUNCT
bracis-28354	278	1	moreover	moreover	ADV
bracis-28354	278	2	,	,	PUNCT
bracis-28354	278	3	time	time	NOUN
bracis-28354	278	4	to	to	PART
bracis-28354	278	5	compute	compute	VERB
bracis-28354	278	6	and	and	CCONJ
bracis-28354	278	7	size	size	NOUN
bracis-28354	278	8	of	of	ADP
bracis-28354	278	9	explanations	explanation	NOUN
bracis-28354	278	10	were	be	AUX
bracis-28354	278	11	chosen	choose	VERB
bracis-28354	278	12	as	as	SCONJ
bracis-28354	278	13	metrics	metric	NOUN
bracis-28354	278	14	to	to	PART
bracis-28354	278	15	better	well	ADV
bracis-28354	278	16	reflect	reflect	VERB
bracis-28354	278	17	the	the	DET
bracis-28354	278	18	importance	importance	NOUN
bracis-28354	278	19	of	of	ADP
bracis-28354	278	20	fast	fast	ADJ
bracis-28354	278	21	and	and	CCONJ
bracis-28354	278	22	concise	concise	ADJ
bracis-28354	278	23	explanations	explanation	NOUN
bracis-28354	278	24	when	when	SCONJ
bracis-28354	278	25	used	use	VERB
bracis-28354	278	26	to	to	PART
bracis-28354	278	27	assist	assist	VERB
bracis-28354	278	28	specialists	specialist	NOUN
bracis-28354	278	29	in	in	ADP
bracis-28354	278	30	better	well	ADJ
bracis-28354	278	31	analyzing	analyzing	NOUN
bracis-28354	278	32	rejected	reject	VERB
bracis-28354	278	33	instances	instance	NOUN
bracis-28354	278	34	.	.	PUNCT
bracis-28354	279	1	5.1	5.1	NUM
bracis-28354	279	2	results	result	VERB
bracis-28354	279	3	the	the	DET
bracis-28354	279	4	results	result	NOUN
bracis-28354	279	5	based	base	VERB
bracis-28354	279	6	on	on	ADP
bracis-28354	279	7	the	the	DET
bracis-28354	279	8	running	running	NOUN
bracis-28354	279	9	time	time	NOUN
bracis-28354	279	10	and	and	CCONJ
bracis-28354	279	11	the	the	DET
bracis-28354	279	12	size	size	NOUN
bracis-28354	279	13	of	of	ADP
bracis-28354	279	14	explanations	explanation	NOUN
bracis-28354	279	15	are	be	AUX
bracis-28354	279	16	presented	present	VERB
bracis-28354	279	17	in	in	ADP
bracis-28354	279	18	table	table	NOUN
bracis-28354	279	19	 	 	SPACE
bracis-28354	279	20	3	3	NUM
bracis-28354	279	21	and	and	CCONJ
bracis-28354	279	22	table	table	NOUN
bracis-28354	279	23	 	 	SPACE
bracis-28354	279	24	4	4	NUM
bracis-28354	279	25	,	,	PUNCT
bracis-28354	279	26	respectively	respectively	ADV
bracis-28354	279	27	.	.	PUNCT
bracis-28354	280	1	following	follow	VERB
bracis-28354	280	2	the	the	DET
bracis-28354	280	3	iris	iris	NOUN
bracis-28354	280	4	dataset	dataset	VERB
bracis-28354	280	5	description	description	NOUN
bracis-28354	280	6	in	in	ADP
bracis-28354	280	7	table	table	NOUN
bracis-28354	280	8	 	 	SPACE
bracis-28354	280	9	2	2	NUM
bracis-28354	280	10	,	,	PUNCT
bracis-28354	280	11	there	there	PRON
bracis-28354	280	12	are	be	VERB
bracis-28354	280	13	no	no	DET
bracis-28354	280	14	results	result	NOUN
bracis-28354	280	15	for	for	ADP
bracis-28354	280	16	the	the	DET
bracis-28354	280	17	rejected	reject	VERB
bracis-28354	280	18	class	class	NOUN
bracis-28354	280	19	.	.	PUNCT
bracis-28354	281	1	our	our	PRON
bracis-28354	281	2	approach	approach	NOUN
bracis-28354	281	3	has	have	AUX
bracis-28354	281	4	shown	show	VERB
bracis-28354	281	5	to	to	PART
bracis-28354	281	6	be	be	AUX
bracis-28354	281	7	up	up	ADP
bracis-28354	281	8	to	to	ADP
bracis-28354	281	9	,	,	PUNCT
bracis-28354	281	10	surprisingly	surprisingly	ADV
bracis-28354	281	11	,	,	PUNCT
bracis-28354	281	12	roughly	roughly	ADV
bracis-28354	281	13	286	286	NUM
bracis-28354	281	14	times	time	NOUN
bracis-28354	281	15	faster	fast	ADJ
bracis-28354	281	16	than	than	ADP
bracis-28354	281	17	anchors	anchor	NOUN
bracis-28354	281	18	.	.	PUNCT
bracis-28354	282	1	this	this	PRON
bracis-28354	282	2	happened	happen	VERB
bracis-28354	282	3	for	for	ADP
bracis-28354	282	4	the	the	DET
bracis-28354	282	5	sonr	sonr	PROPN
bracis-28354	282	6	dataset	dataset	NOUN
bracis-28354	282	7	,	,	PUNCT
bracis-28354	282	8	where	where	SCONJ
bracis-28354	282	9	the	the	DET
bracis-28354	282	10	mean	mean	NOUN
bracis-28354	282	11	elapsed	elapse	VERB
bracis-28354	282	12	time	time	NOUN
bracis-28354	282	13	of	of	ADP
bracis-28354	282	14	our	our	PRON
bracis-28354	282	15	method	method	NOUN
bracis-28354	282	16	is	be	AUX
bracis-28354	282	17	0.86	0.86	NUM
bracis-28354	282	18	seconds	second	NOUN
bracis-28354	282	19	against	against	ADP
bracis-28354	282	20	246.14	246.14	NUM
bracis-28354	282	21	seconds	second	NOUN
bracis-28354	282	22	for	for	ADP
bracis-28354	282	23	anchors	anchor	NOUN
bracis-28354	282	24	.	.	PUNCT
bracis-28354	283	1	these	these	DET
bracis-28354	283	2	results	result	NOUN
bracis-28354	283	3	show	show	VERB
bracis-28354	283	4	how	how	SCONJ
bracis-28354	283	5	much	much	ADV
bracis-28354	283	6	harder	hard	ADV
bracis-28354	283	7	it	it	PRON
bracis-28354	283	8	can	can	AUX
bracis-28354	283	9	be	be	AUX
bracis-28354	283	10	for	for	SCONJ
bracis-28354	283	11	anchors	anchor	NOUN
bracis-28354	283	12	to	to	PART
bracis-28354	283	13	give	give	VERB
bracis-28354	283	14	an	an	DET
bracis-28354	283	15	explanation	explanation	NOUN
bracis-28354	283	16	as	as	ADP
bracis-28354	283	17	the	the	DET
bracis-28354	283	18	number	number	NOUN
bracis-28354	283	19	of	of	ADP
bracis-28354	283	20	features	feature	NOUN
bracis-28354	283	21	increases	increase	NOUN
bracis-28354	283	22	.	.	PUNCT
bracis-28354	284	1	furthermore	furthermore	ADV
bracis-28354	284	2	,	,	PUNCT
bracis-28354	284	3	it	it	PRON
bracis-28354	284	4	is	be	AUX
bracis-28354	284	5	worth	worth	ADJ
bracis-28354	284	6	noting	note	VERB
bracis-28354	284	7	that	that	SCONJ
bracis-28354	284	8	our	our	PRON
bracis-28354	284	9	approach	approach	NOUN
bracis-28354	284	10	needs	need	VERB
bracis-28354	284	11	much	much	ADV
bracis-28354	284	12	less	less	ADJ
bracis-28354	284	13	time	time	NOUN
bracis-28354	284	14	to	to	PART
bracis-28354	284	15	explain	explain	VERB
bracis-28354	284	16	positive	positive	ADJ
bracis-28354	284	17	,	,	PUNCT
bracis-28354	284	18	negative	negative	ADJ
bracis-28354	284	19	,	,	PUNCT
bracis-28354	284	20	and	and	CCONJ
bracis-28354	284	21	rejected	reject	VERB
bracis-28354	284	22	classes	class	NOUN
bracis-28354	284	23	overall	overall	ADJ
bracis-28354	284	24	.	.	PUNCT
bracis-28354	285	1	table	table	NOUN
bracis-28354	285	2	3	3	NUM
bracis-28354	285	3	.	.	NOUN
bracis-28354	285	4	time	time	NOUN
bracis-28354	285	5	comparison	comparison	NOUN
bracis-28354	285	6	between	between	ADP
bracis-28354	285	7	our	our	PRON
bracis-28354	285	8	approach	approach	NOUN
bracis-28354	285	9	and	and	CCONJ
bracis-28354	285	10	anchors	anchor	NOUN
bracis-28354	285	11	(	(	PUNCT
bracis-28354	285	12	seconds	second	NOUN
bracis-28354	285	13	)	)	PUNCT
bracis-28354	285	14	.	.	PUNCT
bracis-28354	286	1	less	less	ADJ
bracis-28354	286	2	is	be	AUX
bracis-28354	286	3	better.full	better.full	NUM
bracis-28354	286	4	size	size	NOUN
bracis-28354	286	5	table	table	NOUN
bracis-28354	286	6	table	table	NOUN
bracis-28354	286	7	4	4	NUM
bracis-28354	286	8	.	.	PUNCT
bracis-28354	286	9	explanation	explanation	NOUN
bracis-28354	286	10	size	size	NOUN
bracis-28354	286	11	comparison	comparison	NOUN
bracis-28354	286	12	between	between	ADP
bracis-28354	286	13	our	our	PRON
bracis-28354	286	14	approach	approach	NOUN
bracis-28354	286	15	and	and	CCONJ
bracis-28354	286	16	anchors	anchor	NOUN
bracis-28354	286	17	.	.	PUNCT
bracis-28354	287	1	less	less	ADJ
bracis-28354	287	2	is	be	AUX
bracis-28354	287	3	better.full	better.full	NUM
bracis-28354	287	4	size	size	NOUN
bracis-28354	287	5	table	table	NOUN
bracis-28354	287	6	while	while	SCONJ
bracis-28354	287	7	our	our	PRON
bracis-28354	287	8	approach	approach	NOUN
bracis-28354	287	9	obtained	obtain	VERB
bracis-28354	287	10	more	more	ADV
bracis-28354	287	11	extensive	extensive	ADJ
bracis-28354	287	12	explanations	explanation	NOUN
bracis-28354	287	13	in	in	ADP
bracis-28354	287	14	certain	certain	ADJ
bracis-28354	287	15	cases	case	NOUN
bracis-28354	287	16	,	,	PUNCT
bracis-28354	287	17	it	it	PRON
bracis-28354	287	18	also	also	ADV
bracis-28354	287	19	demonstrated	demonstrate	VERB
bracis-28354	287	20	the	the	DET
bracis-28354	287	21	ability	ability	NOUN
bracis-28354	287	22	to	to	PART
bracis-28354	287	23	be	be	AUX
bracis-28354	287	24	more	more	ADV
bracis-28354	287	25	succinct	succinct	ADJ
bracis-28354	287	26	,	,	PUNCT
bracis-28354	287	27	generating	generate	VERB
bracis-28354	287	28	explanations	explanation	NOUN
bracis-28354	287	29	that	that	PRON
bracis-28354	287	30	were	be	AUX
bracis-28354	287	31	up	up	ADP
bracis-28354	287	32	to	to	ADP
bracis-28354	287	33	\(43\%\	\(43\%\	NOUN
bracis-28354	287	34	)	)	PUNCT
bracis-28354	287	35	smaller	small	ADJ
bracis-28354	287	36	in	in	ADP
bracis-28354	287	37	other	other	ADJ
bracis-28354	287	38	cases	case	NOUN
bracis-28354	287	39	.	.	PUNCT
bracis-28354	288	1	in	in	ADP
bracis-28354	288	2	addition	addition	NOUN
bracis-28354	288	3	,	,	PUNCT
bracis-28354	288	4	our	our	PRON
bracis-28354	288	5	method	method	NOUN
bracis-28354	288	6	is	be	AUX
bracis-28354	288	7	able	able	ADJ
bracis-28354	288	8	to	to	PART
bracis-28354	288	9	maintain	maintain	VERB
bracis-28354	288	10	the	the	DET
bracis-28354	288	11	correctness	correctness	NOUN
bracis-28354	288	12	of	of	ADP
bracis-28354	288	13	explanations	explanation	NOUN
bracis-28354	288	14	.	.	PUNCT
bracis-28354	289	1	this	this	PRON
bracis-28354	289	2	highlights	highlight	VERB
bracis-28354	289	3	an	an	DET
bracis-28354	289	4	expressive	expressive	ADJ
bracis-28354	289	5	advantage	advantage	NOUN
bracis-28354	289	6	of	of	ADP
bracis-28354	289	7	our	our	PRON
bracis-28354	289	8	approach	approach	NOUN
bracis-28354	289	9	over	over	ADP
bracis-28354	289	10	the	the	DET
bracis-28354	289	11	heuristic	heuristic	ADJ
bracis-28354	289	12	nature	nature	NOUN
bracis-28354	289	13	of	of	ADP
bracis-28354	289	14	anchors	anchor	NOUN
bracis-28354	289	15	.	.	PUNCT
bracis-28354	290	1	while	while	SCONJ
bracis-28354	290	2	anchors	anchor	NOUN
bracis-28354	290	3	may	may	AUX
bracis-28354	290	4	provide	provide	VERB
bracis-28354	290	5	explanations	explanation	NOUN
bracis-28354	290	6	with	with	ADP
bracis-28354	290	7	fewer	few	ADJ
bracis-28354	290	8	features	feature	NOUN
bracis-28354	290	9	in	in	ADP
bracis-28354	290	10	some	some	DET
bracis-28354	290	11	cases	case	NOUN
bracis-28354	290	12	,	,	PUNCT
bracis-28354	290	13	this	this	PRON
bracis-28354	290	14	is	be	AUX
bracis-28354	290	15	achieved	achieve	VERB
bracis-28354	290	16	due	due	ADP
bracis-28354	290	17	to	to	ADP
bracis-28354	290	18	the	the	DET
bracis-28354	290	19	lack	lack	NOUN
bracis-28354	290	20	of	of	ADP
bracis-28354	290	21	formal	formal	ADJ
bracis-28354	290	22	guarantees	guarantee	NOUN
bracis-28354	290	23	on	on	ADP
bracis-28354	290	24	correctness	correctness	NOUN
bracis-28354	290	25	.	.	PUNCT
bracis-28354	291	1	it	it	PRON
bracis-28354	291	2	is	be	AUX
bracis-28354	291	3	important	important	ADJ
bracis-28354	291	4	to	to	PART
bracis-28354	291	5	note	note	VERB
bracis-28354	291	6	that	that	SCONJ
bracis-28354	291	7	cases	case	NOUN
bracis-28354	291	8	similar	similar	ADJ
bracis-28354	291	9	to	to	ADP
bracis-28354	291	10	what	what	PRON
bracis-28354	291	11	we	we	PRON
bracis-28354	291	12	discussed	discuss	VERB
bracis-28354	291	13	in	in	ADP
bracis-28354	291	14	sect	sect	NOUN
bracis-28354	291	15	.	.	PUNCT
bracis-28354	291	16	 	 	SPACE
bracis-28354	292	1	3	3	NUM
bracis-28354	292	2	occurred	occur	VERB
bracis-28354	292	3	for	for	SCONJ
bracis-28354	292	4	the	the	DET
bracis-28354	292	5	iris	iris	NOUN
bracis-28354	292	6	dataset	dataset	VERB
bracis-28354	292	7	.	.	PUNCT
bracis-28354	293	1	through	through	ADP
bracis-28354	293	2	weights	weight	NOUN
bracis-28354	293	3	\(\textbf{w	\(\textbf{w	PRON
bracis-28354	293	4	}	}	PUNCT
bracis-28354	293	5	=	=	SYM
bracis-28354	293	6	\{w_1	\{w_1	NOUN
bracis-28354	293	7	=	=	SYM
bracis-28354	293	8	0.8664049	0.8664049	NUM
bracis-28354	293	9	,	,	PUNCT
bracis-28354	293	10	w_2	w_2	PROPN
bracis-28354	293	11	=	=	SYM
bracis-28354	293	12	-1.42027753	-1.42027753	PROPN
bracis-28354	293	13	,	,	PUNCT
bracis-28354	293	14	w_3	w_3	ADP
bracis-28354	293	15	=	=	SYM
bracis-28354	293	16	2.18870793	2.18870793	NUM
bracis-28354	293	17	,	,	PUNCT
bracis-28354	293	18	w_4	w_4	VERB
bracis-28354	293	19	=	=	SYM
bracis-28354	293	20	1.7984087\}\	1.7984087\}\	NUM
bracis-28354	293	21	)	)	PUNCT
bracis-28354	293	22	and	and	CCONJ
bracis-28354	293	23	\(b	\(b	NOUN
bracis-28354	293	24	=	=	SYM
bracis-28354	293	25	-0.77064659\	-0.77064659\	PROPN
bracis-28354	293	26	)	)	PUNCT
bracis-28354	293	27	,	,	PUNCT
bracis-28354	293	28	obtained	obtain	VERB
bracis-28354	293	29	from	from	ADP
bracis-28354	293	30	the	the	DET
bracis-28354	293	31	trained	train	VERB
bracis-28354	293	32	svc	svc	PROPN
bracis-28354	293	33	,	,	PUNCT
bracis-28354	293	34	it	it	PRON
bracis-28354	293	35	could	could	AUX
bracis-28354	293	36	be	be	AUX
bracis-28354	293	37	assumed	assume	VERB
bracis-28354	293	38	that	that	SCONJ
bracis-28354	293	39	feature	feature	NOUN
bracis-28354	293	40	\(f_1\	\(f_1\	PROPN
bracis-28354	293	41	)	)	PUNCT
bracis-28354	293	42	might	might	AUX
bracis-28354	293	43	possibly	possibly	ADV
bracis-28354	293	44	be	be	AUX
bracis-28354	293	45	not	not	PART
bracis-28354	293	46	determinant	determinant	ADJ
bracis-28354	293	47	for	for	ADP
bracis-28354	293	48	the	the	DET
bracis-28354	293	49	classification	classification	NOUN
bracis-28354	293	50	.	.	PUNCT
bracis-28354	294	1	however	however	ADV
bracis-28354	294	2	,	,	PUNCT
bracis-28354	294	3	for	for	ADP
bracis-28354	294	4	the	the	DET
bracis-28354	294	5	instance	instance	NOUN
bracis-28354	294	6	\(\{f_1	\(\{f_1	PROPN
bracis-28354	294	7	=	=	SYM
bracis-28354	294	8	0.05555556	0.05555556	NUM
bracis-28354	294	9	,	,	PUNCT
bracis-28354	294	10	f_2	f_2	NOUN
bracis-28354	294	11	=	=	SYM
bracis-28354	294	12	0.05833333	0.05833333	NUM
bracis-28354	294	13	,	,	PUNCT
bracis-28354	294	14	f_3	f_3	PROPN
bracis-28354	294	15	=	=	SYM
bracis-28354	294	16	0.05084746	0.05084746	NUM
bracis-28354	294	17	,	,	PUNCT
bracis-28354	294	18	f_4	f_4	NOUN
bracis-28354	294	19	=	=	NOUN
bracis-28354	294	20	0.08333333\}\	0.08333333\}\	NUM
bracis-28354	294	21	)	)	PUNCT
bracis-28354	294	22	in	in	ADP
bracis-28354	294	23	class	class	PROPN
bracis-28354	294	24	\(-1\	\(-1\	PROPN
bracis-28354	294	25	)	)	PUNCT
bracis-28354	294	26	for	for	ADP
bracis-28354	294	27	example	example	NOUN
bracis-28354	294	28	,	,	PUNCT
bracis-28354	294	29	feature	feature	NOUN
bracis-28354	294	30	\(f_1\	\(f_1\	PROPN
bracis-28354	294	31	)	)	PUNCT
bracis-28354	294	32	was	be	AUX
bracis-28354	294	33	in	in	ADP
bracis-28354	294	34	the	the	DET
bracis-28354	294	35	explanation	explanation	NOUN
bracis-28354	294	36	,	,	PUNCT
bracis-28354	294	37	while	while	SCONJ
bracis-28354	294	38	feature	feature	NOUN
bracis-28354	294	39	\(f_2\	\(f_2\	PROPN
bracis-28354	294	40	)	)	PUNCT
bracis-28354	294	41	was	be	AUX
bracis-28354	294	42	not	not	PART
bracis-28354	294	43	present	present	ADJ
bracis-28354	294	44	.	.	PUNCT
bracis-28354	295	1	furthermore	furthermore	ADV
bracis-28354	295	2	,	,	PUNCT
bracis-28354	295	3	similar	similar	ADJ
bracis-28354	295	4	cases	case	NOUN
bracis-28354	295	5	happened	happen	VERB
bracis-28354	295	6	where	where	SCONJ
bracis-28354	295	7	\(f_2\	\(f_2\	PROPN
bracis-28354	295	8	)	)	PUNCT
bracis-28354	295	9	was	be	AUX
bracis-28354	295	10	in	in	ADP
bracis-28354	295	11	the	the	DET
bracis-28354	295	12	explanation	explanation	NOUN
bracis-28354	295	13	while	while	SCONJ
bracis-28354	295	14	\(f_4\	\(f_4\	NOUN
bracis-28354	295	15	)	)	PUNCT
bracis-28354	295	16	was	be	AUX
bracis-28354	295	17	not	not	PART
bracis-28354	295	18	,	,	PUNCT
bracis-28354	295	19	even	even	ADV
bracis-28354	295	20	though	though	SCONJ
bracis-28354	295	21	\(|w_4|	\(|w_4|	PROPN
bracis-28354	295	22	>	>	X
bracis-28354	295	23	|w_2|\	|w_2|\	PROPN
bracis-28354	295	24	)	)	PUNCT
bracis-28354	295	25	.	.	PUNCT
bracis-28354	296	1	similar	similar	ADJ
bracis-28354	296	2	occurrences	occurrence	NOUN
bracis-28354	296	3	are	be	AUX
bracis-28354	296	4	present	present	ADJ
bracis-28354	296	5	in	in	ADP
bracis-28354	296	6	other	other	ADJ
bracis-28354	296	7	datasets	dataset	NOUN
bracis-28354	296	8	,	,	PUNCT
bracis-28354	296	9	reinforcing	reinforce	VERB
bracis-28354	296	10	that	that	SCONJ
bracis-28354	296	11	the	the	DET
bracis-28354	296	12	points	point	NOUN
bracis-28354	296	13	discussed	discuss	VERB
bracis-28354	296	14	in	in	ADP
bracis-28354	296	15	sect	sect	NOUN
bracis-28354	296	16	.	.	PUNCT
bracis-28354	296	17	 	 	SPACE
bracis-28354	297	1	3	3	NUM
bracis-28354	297	2	are	be	AUX
bracis-28354	297	3	not	not	PART
bracis-28354	297	4	uncommon	uncommon	ADJ
bracis-28354	297	5	.	.	PUNCT
bracis-28354	298	1	as	as	ADP
bracis-28354	298	2	one	one	NUM
bracis-28354	298	3	more	more	ADJ
bracis-28354	298	4	illustrative	illustrative	ADJ
bracis-28354	298	5	example	example	NOUN
bracis-28354	298	6	,	,	PUNCT
bracis-28354	298	7	consider	consider	VERB
bracis-28354	298	8	the	the	DET
bracis-28354	298	9	linear	linear	ADJ
bracis-28354	298	10	svc	svc	PROPN
bracis-28354	298	11	with	with	ADP
bracis-28354	298	12	reject	reject	NOUN
bracis-28354	298	13	option	option	NOUN
bracis-28354	298	14	trained	train	VERB
bracis-28354	298	15	on	on	ADP
bracis-28354	298	16	the	the	DET
bracis-28354	298	17	vrtc	vrtc	NOUN
bracis-28354	298	18	dataset	dataset	NOUN
bracis-28354	298	19	such	such	ADJ
bracis-28354	298	20	that	that	SCONJ
bracis-28354	298	21	\(\textbf{w	\(\textbf{w	ADJ
bracis-28354	298	22	}	}	PUNCT
bracis-28354	298	23	=	=	SYM
bracis-28354	298	24	\{w_1	\{w_1	NOUN
bracis-28354	298	25	=	=	NOUN
bracis-28354	298	26	0.72863148,\	0.72863148,\	NUM
bracis-28354	298	27	)	)	PUNCT
bracis-28354	299	1	\(w_2	\(w_2	PROPN
bracis-28354	299	2	=	=	SYM
bracis-28354	299	3	1.97781269,\	1.97781269,\	NUM
bracis-28354	299	4	)	)	PUNCT
bracis-28354	300	1	\(w_3	\(w_3	NUM
bracis-28354	300	2	=	=	SYM
bracis-28354	300	3	0.85680605,\	0.85680605,\	NUM
bracis-28354	300	4	)	)	PUNCT
bracis-28354	300	5	\(w_4	\(w_4	PROPN
bracis-28354	300	6	=	=	SYM
bracis-28354	300	7	-0.32466632	-0.32466632	PROPN
bracis-28354	300	8	,	,	PUNCT
bracis-28354	300	9	\	\	ADJ
bracis-28354	300	10	)	)	PUNCT
bracis-28354	300	11	\(w_5	\(w_5	PROPN
bracis-28354	300	12	=	=	SYM
bracis-28354	300	13	-3.42937211,\	-3.42937211,\	PROPN
bracis-28354	300	14	)	)	PUNCT
bracis-28354	300	15	\(w_6	\(w_6	PROPN
bracis-28354	300	16	=	=	SYM
bracis-28354	300	17	2.43522629\}\	2.43522629\}\	NUM
bracis-28354	300	18	)	)	PUNCT
bracis-28354	300	19	,	,	PUNCT
bracis-28354	300	20	\(b	\(b	NOUN
bracis-28354	300	21	=	=	SYM
bracis-28354	300	22	1.10008469\	1.10008469\	NOUN
bracis-28354	300	23	)	)	PUNCT
bracis-28354	300	24	,	,	PUNCT
bracis-28354	300	25	\(t_=	\(t_=	PROPN
bracis-28354	300	26	-0.3334\	-0.3334\	PROPN
bracis-28354	300	27	)	)	PUNCT
bracis-28354	300	28	and	and	CCONJ
bracis-28354	300	29	\(t_+	\(t_+	PROPN
bracis-28354	300	30	=	=	SYM
bracis-28354	300	31	0.8396\	0.8396\	PROPN
bracis-28354	300	32	)	)	PUNCT
bracis-28354	300	33	.	.	PUNCT
bracis-28354	301	1	for	for	ADP
bracis-28354	301	2	the	the	DET
bracis-28354	301	3	instance	instance	NOUN
bracis-28354	301	4	\(\{f_1	\(\{f_1	PROPN
bracis-28354	301	5	=	=	SYM
bracis-28354	301	6	0.25125386	0.25125386	NUM
bracis-28354	301	7	,	,	PUNCT
bracis-28354	301	8	f_2	f_2	NOUN
bracis-28354	301	9	=	=	SYM
bracis-28354	301	10	0.4244373	0.4244373	NUM
bracis-28354	301	11	,	,	PUNCT
bracis-28354	301	12	f_3	f_3	PROPN
bracis-28354	301	13	=	=	SYM
bracis-28354	301	14	0.7214483	0.7214483	NUM
bracis-28354	301	15	,	,	PUNCT
bracis-28354	301	16	f_4	f_4	PROPN
bracis-28354	301	17	=	=	SYM
bracis-28354	301	18	0.20007403	0.20007403	PROPN
bracis-28354	301	19	,	,	PUNCT
bracis-28354	301	20	f_5	f_5	NOUN
bracis-28354	301	21	=	=	SYM
bracis-28354	301	22	0.71932466	0.71932466	NUM
bracis-28354	301	23	,	,	PUNCT
bracis-28354	301	24	f_6	f_6	PROPN
bracis-28354	301	25	=	=	SYM
bracis-28354	301	26	0.15363128\}\	0.15363128\}\	NUM
bracis-28354	301	27	)	)	PUNCT
bracis-28354	301	28	in	in	ADP
bracis-28354	301	29	the	the	DET
bracis-28354	301	30	reject	reject	PROPN
bracis-28354	301	31	class	class	NOUN
bracis-28354	301	32	,	,	PUNCT
bracis-28354	301	33	feature	feature	NOUN
bracis-28354	301	34	\(f_3\	\(f_3\	NOUN
bracis-28354	301	35	)	)	PUNCT
bracis-28354	301	36	was	be	AUX
bracis-28354	301	37	not	not	PART
bracis-28354	301	38	in	in	ADP
bracis-28354	301	39	the	the	DET
bracis-28354	301	40	explanation	explanation	NOUN
bracis-28354	301	41	,	,	PUNCT
bracis-28354	301	42	while	while	SCONJ
bracis-28354	301	43	\(f_4\	\(f_4\	NOUN
bracis-28354	301	44	)	)	PUNCT
bracis-28354	301	45	is	be	AUX
bracis-28354	301	46	present	present	ADJ
bracis-28354	301	47	in	in	ADP
bracis-28354	301	48	the	the	DET
bracis-28354	301	49	explanation	explanation	NOUN
bracis-28354	301	50	,	,	PUNCT
bracis-28354	301	51	despite	despite	SCONJ
bracis-28354	301	52	the	the	DET
bracis-28354	301	53	fact	fact	NOUN
bracis-28354	301	54	that	that	SCONJ
bracis-28354	301	55	\(|w_3|	\(|w_3|	PROPN
bracis-28354	301	56	>	>	X
bracis-28354	301	57	|w_4|\	|w_4|\	PROPN
bracis-28354	301	58	)	)	PUNCT
bracis-28354	301	59	.	.	PUNCT
bracis-28354	302	1	this	this	PRON
bracis-28354	302	2	is	be	AUX
bracis-28354	302	3	substantial	substantial	ADJ
bracis-28354	302	4	for	for	ADP
bracis-28354	302	5	our	our	PRON
bracis-28354	302	6	approach	approach	NOUN
bracis-28354	302	7	since	since	SCONJ
bracis-28354	302	8	it	it	PRON
bracis-28354	302	9	demonstrates	demonstrate	VERB
bracis-28354	302	10	its	its	PRON
bracis-28354	302	11	capability	capability	NOUN
bracis-28354	302	12	of	of	ADP
bracis-28354	302	13	finding	find	VERB
bracis-28354	302	14	such	such	ADJ
bracis-28354	302	15	cases	case	NOUN
bracis-28354	302	16	.	.	PUNCT
bracis-28354	303	1	6	6	NUM
bracis-28354	303	2	conclusions	conclusion	NOUN
bracis-28354	303	3	in	in	ADP
bracis-28354	303	4	this	this	DET
bracis-28354	303	5	paper	paper	NOUN
bracis-28354	303	6	,	,	PUNCT
bracis-28354	303	7	we	we	PRON
bracis-28354	303	8	propose	propose	VERB
bracis-28354	303	9	a	a	DET
bracis-28354	303	10	logic	logic	NOUN
bracis-28354	303	11	-	-	PUNCT
bracis-28354	303	12	based	base	VERB
bracis-28354	303	13	approach	approach	NOUN
bracis-28354	303	14	to	to	PART
bracis-28354	303	15	generate	generate	VERB
bracis-28354	303	16	minimal	minimal	ADJ
bracis-28354	303	17	explanations	explanation	NOUN
bracis-28354	303	18	for	for	ADP
bracis-28354	303	19	a	a	DET
bracis-28354	303	20	classifier	classifier	NOUN
bracis-28354	303	21	with	with	ADP
bracis-28354	303	22	ro	ro	PROPN
bracis-28354	303	23	while	while	SCONJ
bracis-28354	303	24	guaranteeing	guarantee	VERB
bracis-28354	303	25	correctness	correctness	NOUN
bracis-28354	303	26	.	.	PUNCT
bracis-28354	304	1	a	a	DET
bracis-28354	304	2	trained	train	VERB
bracis-28354	304	3	linear	linear	NOUN
bracis-28354	304	4	svc	svc	PROPN
bracis-28354	304	5	with	with	ADP
bracis-28354	304	6	ro	ro	PROPN
bracis-28354	304	7	is	be	AUX
bracis-28354	304	8	used	use	VERB
bracis-28354	304	9	as	as	ADP
bracis-28354	304	10	a	a	DET
bracis-28354	304	11	target	target	NOUN
bracis-28354	304	12	model	model	NOUN
bracis-28354	304	13	for	for	ADP
bracis-28354	304	14	explainability	explainability	NOUN
bracis-28354	304	15	.	.	PUNCT
bracis-28354	305	1	our	our	PRON
bracis-28354	305	2	approach	approach	NOUN
bracis-28354	305	3	is	be	AUX
bracis-28354	305	4	rooted	root	VERB
bracis-28354	305	5	in	in	ADP
bracis-28354	305	6	earlier	early	ADJ
bracis-28354	305	7	work	work	NOUN
bracis-28354	305	8	on	on	ADP
bracis-28354	305	9	computing	compute	VERB
bracis-28354	305	10	minimal	minimal	ADJ
bracis-28354	305	11	explanations	explanation	NOUN
bracis-28354	305	12	for	for	ADP
bracis-28354	305	13	standard	standard	ADJ
bracis-28354	305	14	machine	machine	NOUN
bracis-28354	305	15	learning	learning	NOUN
bracis-28354	305	16	models	model	NOUN
bracis-28354	305	17	without	without	ADP
bracis-28354	305	18	ro	ro	PROPN
bracis-28354	305	19	.	.	PUNCT
bracis-28354	306	1	therefore	therefore	ADV
bracis-28354	306	2	,	,	PUNCT
bracis-28354	306	3	we	we	PRON
bracis-28354	306	4	encode	encode	VERB
bracis-28354	306	5	the	the	DET
bracis-28354	306	6	task	task	NOUN
bracis-28354	306	7	of	of	ADP
bracis-28354	306	8	computing	computing	NOUN
bracis-28354	306	9	explanations	explanation	NOUN
bracis-28354	306	10	for	for	ADP
bracis-28354	306	11	linear	linear	PROPN
bracis-28354	306	12	svcs	svcs	PROPN
bracis-28354	306	13	with	with	ADP
bracis-28354	306	14	ro	ro	PROPN
bracis-28354	306	15	as	as	ADP
bracis-28354	306	16	a	a	DET
bracis-28354	306	17	logical	logical	ADJ
bracis-28354	306	18	entailment	entailment	ADJ
bracis-28354	306	19	problem	problem	NOUN
bracis-28354	306	20	.	.	PUNCT
bracis-28354	307	1	moreover	moreover	ADV
bracis-28354	307	2	,	,	PUNCT
bracis-28354	307	3	we	we	PRON
bracis-28354	307	4	use	use	VERB
bracis-28354	307	5	an	an	DET
bracis-28354	307	6	lp	lp	NOUN
bracis-28354	307	7	solver	solver	ADV
bracis-28354	307	8	for	for	ADP
bracis-28354	307	9	checking	check	VERB
bracis-28354	307	10	the	the	DET
bracis-28354	307	11	entailment	entailment	NOUN
bracis-28354	307	12	since	since	SCONJ
bracis-28354	307	13	all	all	DET
bracis-28354	307	14	first	first	ADJ
bracis-28354	307	15	-	-	PUNCT
bracis-28354	307	16	order	order	NOUN
bracis-28354	307	17	sentences	sentence	NOUN
bracis-28354	307	18	are	be	AUX
bracis-28354	307	19	linear	linear	ADJ
bracis-28354	307	20	constraints	constraint	NOUN
bracis-28354	307	21	with	with	ADP
bracis-28354	307	22	real	real	ADJ
bracis-28354	307	23	variables	variable	NOUN
bracis-28354	307	24	,	,	PUNCT
bracis-28354	307	25	and	and	CCONJ
bracis-28354	307	26	at	at	ADP
bracis-28354	307	27	most	most	ADV
bracis-28354	307	28	one	one	NUM
bracis-28354	307	29	disjunction	disjunction	NOUN
bracis-28354	307	30	occurs	occur	VERB
bracis-28354	307	31	.	.	PUNCT
bracis-28354	308	1	our	our	PRON
bracis-28354	308	2	method	method	NOUN
bracis-28354	308	3	is	be	AUX
bracis-28354	308	4	compared	compare	VERB
bracis-28354	308	5	against	against	ADP
bracis-28354	308	6	anchors	anchor	NOUN
bracis-28354	308	7	,	,	PUNCT
bracis-28354	308	8	one	one	NUM
bracis-28354	308	9	of	of	ADP
bracis-28354	308	10	the	the	DET
bracis-28354	308	11	most	most	ADV
bracis-28354	308	12	well	well	ADV
bracis-28354	308	13	-	-	PUNCT
bracis-28354	308	14	known	know	VERB
bracis-28354	308	15	heuristic	heuristic	ADJ
bracis-28354	308	16	methods	method	NOUN
bracis-28354	308	17	,	,	PUNCT
bracis-28354	308	18	through	through	ADP
bracis-28354	308	19	six	six	NUM
bracis-28354	308	20	different	different	ADJ
bracis-28354	308	21	datasets	dataset	NOUN
bracis-28354	308	22	.	.	PUNCT
bracis-28354	309	1	anchors	anchor	NOUN
bracis-28354	309	2	was	be	AUX
bracis-28354	309	3	originally	originally	ADV
bracis-28354	309	4	proposed	propose	VERB
bracis-28354	309	5	as	as	ADP
bracis-28354	309	6	a	a	DET
bracis-28354	309	7	model	model	ADJ
bracis-28354	309	8	-	-	ADJ
bracis-28354	309	9	agnostic	agnostic	ADJ
bracis-28354	309	10	method	method	NOUN
bracis-28354	309	11	,	,	PUNCT
bracis-28354	309	12	and	and	CCONJ
bracis-28354	309	13	therefore	therefore	ADV
bracis-28354	309	14	expected	expect	VERB
bracis-28354	309	15	to	to	PART
bracis-28354	309	16	perform	perform	VERB
bracis-28354	309	17	well	well	ADV
bracis-28354	309	18	for	for	ADP
bracis-28354	309	19	simpler	simple	ADJ
bracis-28354	309	20	models	model	NOUN
bracis-28354	309	21	as	as	ADP
bracis-28354	309	22	the	the	DET
bracis-28354	309	23	linear	linear	PROPN
bracis-28354	309	24	svc	svc	PROPN
bracis-28354	309	25	.	.	PUNCT
bracis-28354	310	1	nonetheless	nonetheless	ADV
bracis-28354	310	2	,	,	PUNCT
bracis-28354	310	3	we	we	PRON
bracis-28354	310	4	found	find	VERB
bracis-28354	310	5	that	that	SCONJ
bracis-28354	310	6	not	not	PART
bracis-28354	310	7	only	only	ADV
bracis-28354	310	8	our	our	PRON
bracis-28354	310	9	approach	approach	NOUN
bracis-28354	310	10	takes	take	VERB
bracis-28354	310	11	considerably	considerably	ADV
bracis-28354	310	12	less	less	ADJ
bracis-28354	310	13	time	time	NOUN
bracis-28354	310	14	than	than	ADP
bracis-28354	310	15	anchors	anchor	NOUN
bracis-28354	310	16	,	,	PUNCT
bracis-28354	310	17	but	but	CCONJ
bracis-28354	310	18	it	it	PRON
bracis-28354	310	19	also	also	ADV
bracis-28354	310	20	has	have	AUX
bracis-28354	310	21	reduced	reduce	VERB
bracis-28354	310	22	size	size	NOUN
bracis-28354	310	23	of	of	ADP
bracis-28354	310	24	explanations	explanation	NOUN
bracis-28354	310	25	for	for	ADP
bracis-28354	310	26	many	many	ADJ
bracis-28354	310	27	instances	instance	NOUN
bracis-28354	310	28	.	.	PUNCT
bracis-28354	311	1	our	our	PRON
bracis-28354	311	2	approach	approach	NOUN
bracis-28354	311	3	achieved	achieve	VERB
bracis-28354	311	4	astonishing	astonishing	ADJ
bracis-28354	311	5	results	result	NOUN
bracis-28354	311	6	in	in	ADP
bracis-28354	311	7	terms	term	NOUN
bracis-28354	311	8	of	of	ADP
bracis-28354	311	9	efficiency	efficiency	NOUN
bracis-28354	311	10	,	,	PUNCT
bracis-28354	311	11	surpassing	surpass	VERB
bracis-28354	311	12	anchors	anchor	NOUN
bracis-28354	311	13	by	by	ADP
bracis-28354	311	14	an	an	DET
bracis-28354	311	15	impressive	impressive	ADJ
bracis-28354	311	16	factor	factor	NOUN
bracis-28354	311	17	of	of	ADP
bracis-28354	311	18	up	up	ADP
bracis-28354	311	19	to	to	ADP
bracis-28354	311	20	approximately	approximately	ADV
bracis-28354	311	21	286	286	NUM
bracis-28354	311	22	times	time	NOUN
bracis-28354	311	23	.	.	PUNCT
bracis-28354	312	1	however	however	ADV
bracis-28354	312	2	,	,	PUNCT
bracis-28354	312	3	our	our	PRON
bracis-28354	312	4	approach	approach	NOUN
bracis-28354	312	5	has	have	VERB
bracis-28354	312	6	limitations	limitation	NOUN
bracis-28354	312	7	.	.	PUNCT
bracis-28354	313	1	since	since	SCONJ
bracis-28354	313	2	we	we	PRON
bracis-28354	313	3	guarantee	guarantee	VERB
bracis-28354	313	4	correctness	correctness	NOUN
bracis-28354	313	5	,	,	PUNCT
bracis-28354	313	6	the	the	DET
bracis-28354	313	7	size	size	NOUN
bracis-28354	313	8	of	of	ADP
bracis-28354	313	9	explanations	explanation	NOUN
bracis-28354	313	10	may	may	AUX
bracis-28354	313	11	considerably	considerably	ADV
bracis-28354	313	12	increase	increase	VERB
bracis-28354	313	13	,	,	PUNCT
bracis-28354	313	14	as	as	SCONJ
bracis-28354	313	15	observed	observe	VERB
bracis-28354	313	16	for	for	ADP
bracis-28354	313	17	some	some	DET
bracis-28354	313	18	cases	case	NOUN
bracis-28354	313	19	in	in	ADP
bracis-28354	313	20	table	table	NOUN
bracis-28354	313	21	 	 	SPACE
bracis-28354	313	22	4	4	NUM
bracis-28354	313	23	.	.	PUNCT
bracis-28354	314	1	moreover	moreover	ADV
bracis-28354	314	2	,	,	PUNCT
bracis-28354	314	3	since	since	SCONJ
bracis-28354	314	4	we	we	PRON
bracis-28354	314	5	only	only	ADV
bracis-28354	314	6	assure	assure	VERB
bracis-28354	314	7	minimal	minimal	ADJ
bracis-28354	314	8	explanations	explanation	NOUN
bracis-28354	314	9	,	,	PUNCT
bracis-28354	314	10	i.e.	i.e.	X
bracis-28354	314	11	irreducible	irreducible	ADJ
bracis-28354	314	12	explanations	explanation	NOUN
bracis-28354	314	13	that	that	PRON
bracis-28354	314	14	are	be	AUX
bracis-28354	314	15	sufficient	sufficient	ADJ
bracis-28354	314	16	for	for	ADP
bracis-28354	314	17	guaranteeing	guarantee	VERB
bracis-28354	314	18	the	the	DET
bracis-28354	314	19	prediction	prediction	NOUN
bracis-28354	314	20	,	,	PUNCT
bracis-28354	314	21	it	it	PRON
bracis-28354	314	22	is	be	AUX
bracis-28354	314	23	possible	possible	ADJ
bracis-28354	314	24	that	that	SCONJ
bracis-28354	314	25	there	there	PRON
bracis-28354	314	26	are	be	VERB
bracis-28354	314	27	explanations	explanation	NOUN
bracis-28354	314	28	with	with	ADP
bracis-28354	314	29	fewer	few	ADJ
bracis-28354	314	30	features	feature	NOUN
bracis-28354	314	31	that	that	SCONJ
bracis-28354	314	32	our	our	PRON
bracis-28354	314	33	method	method	NOUN
bracis-28354	314	34	does	do	AUX
bracis-28354	314	35	not	not	PART
bracis-28354	314	36	guarantee	guarantee	VERB
bracis-28354	314	37	to	to	PART
bracis-28354	314	38	find	find	VERB
bracis-28354	314	39	out	out	ADP
bracis-28354	314	40	.	.	PUNCT
bracis-28354	315	1	our	our	PRON
bracis-28354	315	2	approach	approach	NOUN
bracis-28354	315	3	can	can	AUX
bracis-28354	315	4	be	be	AUX
bracis-28354	315	5	further	far	ADV
bracis-28354	315	6	improved	improve	VERB
bracis-28354	315	7	in	in	ADP
bracis-28354	315	8	future	future	ADJ
bracis-28354	315	9	work	work	NOUN
bracis-28354	315	10	.	.	PUNCT
bracis-28354	316	1	for	for	ADP
bracis-28354	316	2	example	example	NOUN
bracis-28354	316	3	,	,	PUNCT
bracis-28354	316	4	it	it	PRON
bracis-28354	316	5	can	can	AUX
bracis-28354	316	6	be	be	AUX
bracis-28354	316	7	easily	easily	ADV
bracis-28354	316	8	adapted	adapt	VERB
bracis-28354	316	9	to	to	ADP
bracis-28354	316	10	other	other	ADJ
bracis-28354	316	11	classifiers	classifier	NOUN
bracis-28354	316	12	with	with	ADP
bracis-28354	316	13	ro	ro	NOUN
bracis-28354	316	14	,	,	PUNCT
bracis-28354	316	15	such	such	ADJ
bracis-28354	316	16	as	as	ADP
bracis-28354	316	17	neural	neural	ADJ
bracis-28354	316	18	networks	network	NOUN
bracis-28354	316	19	and	and	CCONJ
bracis-28354	316	20	random	random	ADJ
bracis-28354	316	21	forests	forest	NOUN
bracis-28354	316	22	.	.	PUNCT
bracis-28354	317	1	another	another	DET
bracis-28354	317	2	improvement	improvement	NOUN
bracis-28354	317	3	is	be	AUX
bracis-28354	317	4	to	to	PART
bracis-28354	317	5	provide	provide	VERB
bracis-28354	317	6	more	more	ADJ
bracis-28354	317	7	general	general	ADJ
bracis-28354	317	8	explanations	explanation	NOUN
bracis-28354	317	9	.	.	PUNCT
bracis-28354	318	1	for	for	ADP
bracis-28354	318	2	example	example	NOUN
bracis-28354	318	3	,	,	PUNCT
bracis-28354	318	4	its	its	PRON
bracis-28354	318	5	possible	possible	ADJ
bracis-28354	318	6	that	that	SCONJ
bracis-28354	318	7	some	some	DET
bracis-28354	318	8	features	feature	NOUN
bracis-28354	318	9	in	in	ADP
bracis-28354	318	10	an	an	DET
bracis-28354	318	11	explanation	explanation	NOUN
bracis-28354	318	12	may	may	AUX
bracis-28354	318	13	change	change	VERB
bracis-28354	318	14	values	value	NOUN
bracis-28354	318	15	and	and	CCONJ
bracis-28354	318	16	still	still	ADV
bracis-28354	318	17	lead	lead	VERB
bracis-28354	318	18	to	to	ADP
bracis-28354	318	19	the	the	DET
bracis-28354	318	20	same	same	ADJ
bracis-28354	318	21	prediction	prediction	NOUN
bracis-28354	318	22	.	.	PUNCT
bracis-28354	319	1	then	then	ADV
bracis-28354	319	2	,	,	PUNCT
bracis-28354	319	3	a	a	DET
bracis-28354	319	4	more	more	ADV
bracis-28354	319	5	general	general	ADJ
bracis-28354	319	6	explanation	explanation	NOUN
bracis-28354	319	7	may	may	AUX
bracis-28354	319	8	consider	consider	VERB
bracis-28354	319	9	a	a	DET
bracis-28354	319	10	range	range	NOUN
bracis-28354	319	11	of	of	ADP
bracis-28354	319	12	values	value	NOUN
bracis-28354	319	13	for	for	ADP
bracis-28354	319	14	each	each	DET
bracis-28354	319	15	feature	feature	NOUN
bracis-28354	319	16	,	,	PUNCT
bracis-28354	319	17	such	such	ADJ
bracis-28354	319	18	that	that	SCONJ
bracis-28354	319	19	the	the	DET
bracis-28354	319	20	prediction	prediction	NOUN
bracis-28354	319	21	does	do	AUX
bracis-28354	319	22	not	not	PART
bracis-28354	319	23	change	change	VERB
bracis-28354	319	24	for	for	ADP
bracis-28354	319	25	any	any	DET
bracis-28354	319	26	instances	instance	NOUN
bracis-28354	319	27	whose	whose	DET
bracis-28354	319	28	feature	feature	NOUN
bracis-28354	319	29	values	value	NOUN
bracis-28354	319	30	fall	fall	VERB
bracis-28354	319	31	within	within	ADP
bracis-28354	319	32	such	such	ADJ
bracis-28354	319	33	ranges	range	NOUN
bracis-28354	319	34	.	.	PUNCT
bracis-28354	320	1	this	this	PRON
bracis-28354	320	2	may	may	AUX
bracis-28354	320	3	enable	enable	VERB
bracis-28354	320	4	a	a	DET
bracis-28354	320	5	more	more	ADV
bracis-28354	320	6	comprehensive	comprehensive	ADJ
bracis-28354	320	7	understanding	understanding	NOUN
bracis-28354	320	8	of	of	ADP
bracis-28354	320	9	the	the	DET
bracis-28354	320	10	model	model	NOUN
bracis-28354	320	11	.	.	PUNCT
bracis-28354	321	1	notes	note	VERB
bracis-28354	321	2	1.https://archive.ics.uci.edu/ml/datasets.php	1.https://archive.ics.uci.edu/ml/datasets.php	NUM
bracis-28354	321	3	.	.	PUNCT
bracis-28354	322	1	2.https://www.kaggle.com/datasets/uciml/pima-indians-diabetes-database	2.https://www.kaggle.com/datasets/uciml/pima-indians-diabetes-database	NOUN
bracis-28354	322	2	.	.	PUNCT
bracis-28354	323	1	3.https://github.com/scikit-learn/scikit-learn/tree/main/sklearn/datasets/data	3.https://github.com/scikit-learn/scikit-learn/tree/main/sklearn/datasets/data	NUM
bracis-28354	323	2	.	.	PUNCT
bracis-28354	323	3	4.https://github.com/franciscomateus0119/logic-based-explanations-for-linear-support-vector-classifiers-with-reject-option	4.https://github.com/franciscomateus0119/logic-based-explanations-for-linear-support-vector-classifiers-with-reject-option	NOUN
bracis-28354	323	4	.	.	PUNCT
bracis-28354	324	1	5.https://github.com/coin-or/cbc	5.https://github.com/coin-or/cbc	NUM
bracis-28354	324	2	.	.	PUNCT
bracis-28354	325	1	6.https://github.com/coin-or/pulp	6.https://github.com/coin-or/pulp	NUM
bracis-28354	325	2	.	.	PUNCT
bracis-28354	326	1	references	reference	NOUN
bracis-28354	326	2	audemard	audemard	PROPN
bracis-28354	326	3	,	,	PUNCT
bracis-28354	326	4	g.	g.	PROPN
bracis-28354	326	5	,	,	PUNCT
bracis-28354	326	6	bellart	bellart	NOUN
bracis-28354	326	7	,	,	PUNCT
bracis-28354	326	8	s.	s.	PROPN
bracis-28354	326	9	,	,	PUNCT
bracis-28354	326	10	bounia	bounia	PROPN
bracis-28354	326	11	,	,	PUNCT
bracis-28354	326	12	l.	l.	PROPN
bracis-28354	326	13	,	,	PUNCT
bracis-28354	326	14	koriche	koriche	PROPN
bracis-28354	326	15	,	,	PUNCT
bracis-28354	326	16	f.	f.	PROPN
bracis-28354	326	17	,	,	PUNCT
bracis-28354	326	18	lagniez	lagniez	NOUN
bracis-28354	326	19	,	,	PUNCT
bracis-28354	326	20	j.m	j.m	PROPN
bracis-28354	326	21	.	.	PROPN
bracis-28354	326	22	,	,	PUNCT
bracis-28354	326	23	marquis	marquis	PROPN
bracis-28354	326	24	,	,	PUNCT
bracis-28354	326	25	p.	p.	NOUN
bracis-28354	326	26	:	:	PUNCT
bracis-28354	326	27	on	on	ADP
bracis-28354	326	28	preferred	preferred	ADJ
bracis-28354	326	29	abductive	abductive	ADJ
bracis-28354	326	30	explanations	explanation	NOUN
bracis-28354	326	31	for	for	ADP
bracis-28354	326	32	decision	decision	NOUN
bracis-28354	326	33	trees	tree	NOUN
bracis-28354	326	34	and	and	CCONJ
bracis-28354	326	35	random	random	ADJ
bracis-28354	326	36	forests	forest	NOUN
bracis-28354	326	37	.	.	PUNCT
bracis-28354	327	1	in	in	ADP
bracis-28354	327	2	:	:	PUNCT
bracis-28354	327	3	31st	31st	NOUN
bracis-28354	327	4	ijcai	ijcai	NOUN
bracis-28354	327	5	,	,	PUNCT
bracis-28354	327	6	pp	pp	X
bracis-28354	327	7	.	.	PUNCT
bracis-28354	328	1	643–650	643–650	NUM
bracis-28354	328	2	(	(	PUNCT
bracis-28354	328	3	2022	2022	NUM
bracis-28354	328	4	)	)	PUNCT
bracis-28354	328	5	google	google	NOUN
bracis-28354	328	6	scholar	scholar	NOUN
bracis-28354	328	7	  	  	SPACE
bracis-28354	328	8	chlaoua	chlaoua	PROPN
bracis-28354	328	9	,	,	PUNCT
bracis-28354	328	10	r.	r.	PROPN
bracis-28354	328	11	,	,	PUNCT
bracis-28354	328	12	meraoumia	meraoumia	NOUN
bracis-28354	328	13	,	,	PUNCT
bracis-28354	328	14	a.	a.	NOUN
bracis-28354	328	15	,	,	PUNCT
bracis-28354	328	16	aiadi	aiadi	NOUN
bracis-28354	328	17	,	,	PUNCT
bracis-28354	328	18	k.e	k.e	PROPN
bracis-28354	328	19	.	.	PROPN
bracis-28354	328	20	,	,	PUNCT
bracis-28354	328	21	korichi	korichi	PROPN
bracis-28354	328	22	,	,	PUNCT
bracis-28354	328	23	m.	m.	NOUN
bracis-28354	328	24	:	:	PUNCT
bracis-28354	328	25	deep	deep	ADJ
bracis-28354	328	26	learning	learning	NOUN
bracis-28354	328	27	for	for	ADP
bracis-28354	328	28	finger	finger	NOUN
bracis-28354	328	29	-	-	PUNCT
bracis-28354	328	30	knuckle	knuckle	NOUN
bracis-28354	328	31	-	-	PUNCT
bracis-28354	328	32	print	print	NOUN
bracis-28354	328	33	identification	identification	NOUN
bracis-28354	328	34	system	system	NOUN
bracis-28354	328	35	based	base	VERB
bracis-28354	328	36	on	on	ADP
bracis-28354	328	37	pcanet	pcanet	NOUN
bracis-28354	328	38	and	and	CCONJ
bracis-28354	328	39	svm	svm	PROPN
bracis-28354	328	40	classifier	classifier	NOUN
bracis-28354	328	41	.	.	PUNCT
bracis-28354	329	1	evol	evol	NOUN
bracis-28354	329	2	.	.	PUNCT
bracis-28354	330	1	syst	syst	NOUN
bracis-28354	330	2	.	.	PUNCT
bracis-28354	331	1	10(2	10(2	NUM
bracis-28354	331	2	)	)	PUNCT
bracis-28354	331	3	,	,	PUNCT
bracis-28354	331	4	261–272	261–272	NUM
bracis-28354	331	5	(	(	PUNCT
bracis-28354	331	6	2019	2019	NUM
bracis-28354	331	7	)	)	PUNCT
bracis-28354	331	8	article	article	NOUN
bracis-28354	331	9	  	  	SPACE
bracis-28354	331	10	google	google	PROPN
bracis-28354	331	11	scholar	scholar	NOUN
bracis-28354	331	12	  	  	SPACE
bracis-28354	331	13	chow	chow	PROPN
bracis-28354	331	14	,	,	PUNCT
bracis-28354	331	15	c.	c.	PROPN
bracis-28354	331	16	:	:	PUNCT
bracis-28354	331	17	on	on	ADP
bracis-28354	331	18	optimum	optimum	ADJ
bracis-28354	331	19	recognition	recognition	NOUN
bracis-28354	331	20	error	error	NOUN
bracis-28354	331	21	and	and	CCONJ
bracis-28354	331	22	reject	reject	VERB
bracis-28354	331	23	tradeoff	tradeoff	NOUN
bracis-28354	331	24	.	.	PUNCT
bracis-28354	332	1	ieee	ieee	PROPN
bracis-28354	332	2	trans	trans	PROPN
bracis-28354	332	3	.	.	PROPN
bracis-28354	332	4	inf	inf	PROPN
bracis-28354	332	5	.	.	PROPN
bracis-28354	332	6	theory	theory	PROPN
bracis-28354	332	7	16(1	16(1	PROPN
bracis-28354	332	8	)	)	PUNCT
bracis-28354	332	9	,	,	PUNCT
bracis-28354	332	10	41–46	41–46	NUM
bracis-28354	332	11	(	(	PUNCT
bracis-28354	332	12	1970	1970	NUM
bracis-28354	332	13	)	)	PUNCT
bracis-28354	332	14	article	article	NOUN
bracis-28354	332	15	  	  	SPACE
bracis-28354	332	16	math	math	NOUN
bracis-28354	332	17	  	  	SPACE
bracis-28354	332	18	google	google	PROPN
bracis-28354	332	19	scholar	scholar	NOUN
bracis-28354	332	20	  	  	SPACE
bracis-28354	332	21	cortes	corte	NOUN
bracis-28354	332	22	,	,	PUNCT
bracis-28354	332	23	c.	c.	NOUN
bracis-28354	332	24	,	,	PUNCT
bracis-28354	332	25	vapnik	vapnik	X
bracis-28354	332	26	,	,	PUNCT
bracis-28354	332	27	v.	v.	ADJ
bracis-28354	332	28	:	:	PUNCT
bracis-28354	332	29	support	support	NOUN
bracis-28354	332	30	-	-	PUNCT
bracis-28354	332	31	vector	vector	NOUN
bracis-28354	332	32	networks	network	NOUN
bracis-28354	332	33	.	.	PUNCT
bracis-28354	333	1	mach	mach	NOUN
bracis-28354	333	2	.	.	PUNCT
bracis-28354	334	1	learn	learn	VERB
bracis-28354	334	2	.	.	PROPN
bracis-28354	335	1	20	20	NUM
bracis-28354	335	2	,	,	PUNCT
bracis-28354	335	3	273–297	273–297	NUM
bracis-28354	335	4	(	(	PUNCT
bracis-28354	335	5	1995	1995	NUM
bracis-28354	335	6	)	)	PUNCT
bracis-28354	335	7	article	article	NOUN
bracis-28354	335	8	  	  	SPACE
bracis-28354	335	9	math	math	NOUN
bracis-28354	335	10	  	  	SPACE
bracis-28354	335	11	google	google	PROPN
bracis-28354	335	12	scholar	scholar	NOUN
bracis-28354	335	13	  	  	SPACE
bracis-28354	335	14	de	de	X
bracis-28354	335	15	oliveira	oliveira	PROPN
bracis-28354	335	16	,	,	PUNCT
bracis-28354	335	17	a.c	a.c	PROPN
bracis-28354	335	18	.	.	PROPN
bracis-28354	335	19	,	,	PUNCT
bracis-28354	335	20	gomes	gome	NOUN
bracis-28354	335	21	,	,	PUNCT
bracis-28354	335	22	j.p.p	j.p.p	PROPN
bracis-28354	335	23	.	.	PROPN
bracis-28354	335	24	,	,	PUNCT
bracis-28354	335	25	neto	neto	NOUN
bracis-28354	335	26	,	,	PUNCT
bracis-28354	335	27	a.r.r	a.r.r	ADV
bracis-28354	335	28	.	.	PUNCT
bracis-28354	335	29	,	,	PUNCT
bracis-28354	335	30	de	de	PROPN
bracis-28354	335	31	souza	souza	PROPN
bracis-28354	335	32	,	,	PUNCT
bracis-28354	335	33	a.h	a.h	PROPN
bracis-28354	335	34	.	.	PROPN
bracis-28354	335	35	:	:	PUNCT
bracis-28354	336	1	efficient	efficient	ADJ
bracis-28354	336	2	minimal	minimal	ADJ
bracis-28354	336	3	learning	learning	NOUN
bracis-28354	336	4	machines	machine	NOUN
bracis-28354	336	5	with	with	ADP
bracis-28354	336	6	reject	reject	NOUN
bracis-28354	336	7	option	option	NOUN
bracis-28354	336	8	.	.	PUNCT
bracis-28354	337	1	in	in	ADP
bracis-28354	337	2	:	:	PUNCT
bracis-28354	337	3	5th	5th	ADJ
bracis-28354	337	4	bracis	bracis	NOUN
bracis-28354	337	5	,	,	PUNCT
bracis-28354	337	6	pp	pp	ADJ
bracis-28354	337	7	.	.	PUNCT
bracis-28354	338	1	397–402	397–402	NUM
bracis-28354	338	2	.	.	X
bracis-28354	338	3	ieee	ieee	NOUN
bracis-28354	338	4	(	(	PUNCT
bracis-28354	338	5	2016	2016	NUM
bracis-28354	338	6	)	)	PUNCT
bracis-28354	338	7	google	google	PROPN
bracis-28354	338	8	scholar	scholar	NOUN
bracis-28354	338	9	  	  	SPACE
bracis-28354	338	10	guyon	guyon	NOUN
bracis-28354	338	11	,	,	PUNCT
bracis-28354	338	12	i.	i.	PROPN
bracis-28354	338	13	,	,	PUNCT
bracis-28354	338	14	weston	weston	PROPN
bracis-28354	338	15	,	,	PUNCT
bracis-28354	338	16	j.	j.	PROPN
bracis-28354	338	17	,	,	PUNCT
bracis-28354	338	18	barnhill	barnhill	PROPN
bracis-28354	338	19	,	,	PUNCT
bracis-28354	338	20	s.	s.	PROPN
bracis-28354	338	21	,	,	PUNCT
bracis-28354	338	22	vapnik	vapnik	X
bracis-28354	338	23	,	,	PUNCT
bracis-28354	338	24	v.	v.	ADJ
bracis-28354	338	25	:	:	PUNCT
bracis-28354	338	26	gene	gene	NOUN
bracis-28354	338	27	selection	selection	NOUN
bracis-28354	338	28	for	for	ADP
bracis-28354	338	29	cancer	cancer	NOUN
bracis-28354	338	30	classification	classification	NOUN
bracis-28354	338	31	using	use	VERB
bracis-28354	338	32	support	support	NOUN
bracis-28354	338	33	vector	vector	NOUN
bracis-28354	338	34	machines	machine	NOUN
bracis-28354	338	35	.	.	PUNCT
bracis-28354	339	1	mach	mach	PROPN
bracis-28354	339	2	.	.	PUNCT
bracis-28354	340	1	learn	learn	VERB
bracis-28354	340	2	.	.	PUNCT
bracis-28354	341	1	46	46	NUM
bracis-28354	341	2	,	,	PUNCT
bracis-28354	341	3	389–422	389–422	NUM
bracis-28354	341	4	(	(	PUNCT
bracis-28354	341	5	2002	2002	NUM
bracis-28354	341	6	)	)	PUNCT
bracis-28354	341	7	article	article	NOUN
bracis-28354	341	8	  	  	SPACE
bracis-28354	341	9	math	math	NOUN
bracis-28354	341	10	  	  	SPACE
bracis-28354	341	11	google	google	PROPN
bracis-28354	341	12	scholar	scholar	NOUN
bracis-28354	341	13	  	  	SPACE
bracis-28354	341	14	ignatiev	ignatiev	NOUN
bracis-28354	341	15	,	,	PUNCT
bracis-28354	341	16	a.	a.	NOUN
bracis-28354	341	17	:	:	PUNCT
bracis-28354	341	18	towards	towards	ADP
bracis-28354	341	19	trustable	trustable	ADJ
bracis-28354	341	20	explainable	explainable	ADJ
bracis-28354	341	21	ai	ai	NOUN
bracis-28354	341	22	.	.	PUNCT
bracis-28354	342	1	in	in	ADP
bracis-28354	342	2	:	:	PUNCT
bracis-28354	342	3	ijcai	ijcai	NOUN
bracis-28354	342	4	,	,	PUNCT
bracis-28354	342	5	pp	pp	X
bracis-28354	342	6	.	.	PUNCT
bracis-28354	343	1	5154–5158	5154–5158	NUM
bracis-28354	343	2	(	(	PUNCT
bracis-28354	343	3	2020	2020	NUM
bracis-28354	343	4	)	)	PUNCT
bracis-28354	343	5	google	google	PROPN
bracis-28354	343	6	scholar	scholar	NOUN
bracis-28354	343	7	  	  	SPACE
bracis-28354	343	8	ignatiev	ignatiev	NOUN
bracis-28354	343	9	,	,	PUNCT
bracis-28354	343	10	a.	a.	NOUN
bracis-28354	343	11	,	,	PUNCT
bracis-28354	343	12	izza	izza	PROPN
bracis-28354	343	13	,	,	PUNCT
bracis-28354	343	14	y.	y.	PROPN
bracis-28354	343	15	,	,	PUNCT
bracis-28354	343	16	stuckey	stuckey	PROPN
bracis-28354	343	17	,	,	PUNCT
bracis-28354	343	18	p.j	p.j	PROPN
bracis-28354	343	19	.	.	PROPN
bracis-28354	343	20	,	,	PUNCT
bracis-28354	343	21	marques	marques	PROPN
bracis-28354	343	22	-	-	PROPN
bracis-28354	343	23	silva	silva	PROPN
bracis-28354	343	24	,	,	PUNCT
bracis-28354	343	25	j.	j.	PROPN
bracis-28354	343	26	:	:	PUNCT
bracis-28354	343	27	using	use	VERB
bracis-28354	343	28	maxsat	maxsat	NOUN
bracis-28354	343	29	for	for	ADP
bracis-28354	343	30	efficient	efficient	ADJ
bracis-28354	343	31	explanations	explanation	NOUN
bracis-28354	343	32	of	of	ADP
bracis-28354	343	33	tree	tree	NOUN
bracis-28354	343	34	ensembles	ensemble	NOUN
bracis-28354	343	35	.	.	PUNCT
bracis-28354	344	1	in	in	ADP
bracis-28354	344	2	:	:	PUNCT
bracis-28354	344	3	aaai	aaai	PROPN
bracis-28354	344	4	,	,	PUNCT
bracis-28354	344	5	vol	vol	NOUN
bracis-28354	344	6	.	.	PROPN
bracis-28354	344	7	36	36	NUM
bracis-28354	344	8	,	,	PUNCT
bracis-28354	344	9	pp	pp	ADJ
bracis-28354	344	10	.	.	PUNCT
bracis-28354	345	1	3776–3785	3776–3785	NUM
bracis-28354	345	2	(	(	PUNCT
bracis-28354	345	3	2022	2022	NUM
bracis-28354	345	4	)	)	PUNCT
bracis-28354	345	5	google	google	PROPN
bracis-28354	345	6	scholar	scholar	NOUN
bracis-28354	345	7	  	  	SPACE
bracis-28354	345	8	ignatiev	ignatiev	NOUN
bracis-28354	345	9	,	,	PUNCT
bracis-28354	345	10	a.	a.	NOUN
bracis-28354	345	11	,	,	PUNCT
bracis-28354	345	12	narodytska	narodytska	PROPN
bracis-28354	345	13	,	,	PUNCT
bracis-28354	345	14	n.	n.	NOUN
bracis-28354	345	15	,	,	PUNCT
bracis-28354	345	16	marques	marques	PROPN
bracis-28354	345	17	-	-	NOUN
bracis-28354	345	18	silva	silva	PROPN
bracis-28354	345	19	,	,	PUNCT
bracis-28354	345	20	j.	j.	PROPN
bracis-28354	345	21	:	:	PUNCT
bracis-28354	345	22	abduction	abduction	NOUN
bracis-28354	345	23	-	-	PUNCT
bracis-28354	345	24	based	base	VERB
bracis-28354	345	25	explanations	explanation	NOUN
bracis-28354	345	26	for	for	ADP
bracis-28354	345	27	machine	machine	NOUN
bracis-28354	345	28	learning	learning	NOUN
bracis-28354	345	29	models	model	NOUN
bracis-28354	345	30	.	.	PUNCT
bracis-28354	346	1	in	in	ADP
bracis-28354	346	2	:	:	PUNCT
bracis-28354	346	3	aaai	aaai	PROPN
bracis-28354	346	4	,	,	PUNCT
bracis-28354	346	5	vol	vol	NOUN
bracis-28354	346	6	.	.	PROPN
bracis-28354	346	7	33	33	NUM
bracis-28354	346	8	,	,	PUNCT
bracis-28354	346	9	pp	pp	ADJ
bracis-28354	346	10	.	.	PUNCT
bracis-28354	347	1	1511–1519	1511–1519	NUM
bracis-28354	347	2	(	(	PUNCT
bracis-28354	347	3	2019	2019	NUM
bracis-28354	347	4	)	)	PUNCT
bracis-28354	347	5	google	google	PROPN
bracis-28354	347	6	scholar	scholar	NOUN
bracis-28354	347	7	  	  	SPACE
bracis-28354	347	8	ignatiev	ignatiev	NOUN
bracis-28354	347	9	,	,	PUNCT
bracis-28354	347	10	a.	a.	NOUN
bracis-28354	347	11	,	,	PUNCT
bracis-28354	347	12	narodytska	narodytska	PROPN
bracis-28354	347	13	,	,	PUNCT
bracis-28354	347	14	n.	n.	NOUN
bracis-28354	347	15	,	,	PUNCT
bracis-28354	347	16	marques	marques	PROPN
bracis-28354	347	17	-	-	NOUN
bracis-28354	347	18	silva	silva	PROPN
bracis-28354	347	19	,	,	PUNCT
bracis-28354	347	20	j.	j.	PROPN
bracis-28354	347	21	:	:	PUNCT
bracis-28354	347	22	on	on	ADP
bracis-28354	347	23	formal	formal	ADJ
bracis-28354	347	24	reasoning	reasoning	NOUN
bracis-28354	347	25	about	about	ADP
bracis-28354	347	26	explanations	explanation	NOUN
bracis-28354	347	27	.	.	PUNCT
bracis-28354	348	1	in	in	ADP
bracis-28354	348	2	:	:	PUNCT
bracis-28354	348	3	rcra	rcra	NOUN
bracis-28354	348	4	(	(	PUNCT
bracis-28354	348	5	2020	2020	NUM
bracis-28354	348	6	)	)	PUNCT
bracis-28354	348	7	google	google	PROPN
bracis-28354	348	8	scholar	scholar	NOUN
bracis-28354	348	9	  	  	SPACE
bracis-28354	348	10	izza	izza	PROPN
bracis-28354	348	11	,	,	PUNCT
bracis-28354	348	12	y.	y.	PROPN
bracis-28354	348	13	,	,	PUNCT
bracis-28354	348	14	ignatiev	ignatiev	PROPN
bracis-28354	348	15	,	,	PUNCT
bracis-28354	348	16	a.	a.	NOUN
bracis-28354	348	17	,	,	PUNCT
bracis-28354	348	18	marques	marques	PROPN
bracis-28354	348	19	-	-	NOUN
bracis-28354	348	20	silva	silva	PROPN
bracis-28354	348	21	,	,	PUNCT
bracis-28354	348	22	j.	j.	PROPN
bracis-28354	348	23	:	:	PUNCT
bracis-28354	348	24	on	on	ADP
bracis-28354	348	25	explaining	explain	VERB
bracis-28354	348	26	decision	decision	NOUN
bracis-28354	348	27	trees	tree	NOUN
bracis-28354	348	28	.	.	PUNCT
bracis-28354	349	1	arxiv	arxiv	PROPN
bracis-28354	349	2	preprint	preprint	VERB
bracis-28354	349	3	arxiv:2010.11034	arxiv:2010.11034	NUM
bracis-28354	349	4	(	(	PUNCT
bracis-28354	349	5	2020	2020	NUM
bracis-28354	349	6	)	)	PUNCT
bracis-28354	349	7	krause	krause	NOUN
bracis-28354	349	8	,	,	PUNCT
bracis-28354	349	9	j.	j.	PROPN
bracis-28354	349	10	,	,	PUNCT
bracis-28354	349	11	dasgupta	dasgupta	PROPN
bracis-28354	349	12	,	,	PUNCT
bracis-28354	349	13	a.	a.	PROPN
bracis-28354	349	14	,	,	PUNCT
bracis-28354	349	15	swartz	swartz	PROPN
bracis-28354	349	16	,	,	PUNCT
bracis-28354	349	17	j.	j.	PROPN
bracis-28354	349	18	,	,	PUNCT
bracis-28354	349	19	aphinyanaphongs	aphinyanaphongs	PROPN
bracis-28354	349	20	,	,	PUNCT
bracis-28354	349	21	y.	y.	PROPN
bracis-28354	349	22	,	,	PUNCT
bracis-28354	349	23	bertini	bertini	PROPN
bracis-28354	349	24	,	,	PUNCT
bracis-28354	349	25	e.	e.	PROPN
bracis-28354	349	26	:	:	PUNCT
bracis-28354	349	27	a	a	DET
bracis-28354	349	28	workflow	workflow	NOUN
bracis-28354	349	29	for	for	ADP
bracis-28354	349	30	visual	visual	ADJ
bracis-28354	349	31	diagnostics	diagnostic	NOUN
bracis-28354	349	32	of	of	ADP
bracis-28354	349	33	binary	binary	ADJ
bracis-28354	349	34	classifiers	classifier	NOUN
bracis-28354	349	35	using	use	VERB
bracis-28354	349	36	instance	instance	NOUN
bracis-28354	349	37	-	-	PUNCT
bracis-28354	349	38	level	level	NOUN
bracis-28354	349	39	explanations	explanation	NOUN
bracis-28354	349	40	(	(	PUNCT
bracis-28354	349	41	2017	2017	NUM
bracis-28354	349	42	)	)	PUNCT
bracis-28354	349	43	google	google	NOUN
bracis-28354	349	44	scholar	scholar	NOUN
bracis-28354	349	45	  	  	SPACE
bracis-28354	349	46	kroening	kroening	NOUN
bracis-28354	349	47	,	,	PUNCT
bracis-28354	349	48	d.	d.	PROPN
bracis-28354	349	49	,	,	PUNCT
bracis-28354	349	50	strichman	strichman	NOUN
bracis-28354	349	51	,	,	PUNCT
bracis-28354	349	52	o.	o.	NOUN
bracis-28354	349	53	:	:	PUNCT
bracis-28354	349	54	decision	decision	NOUN
bracis-28354	349	55	procedures	procedure	NOUN
bracis-28354	349	56	.	.	PUNCT
bracis-28354	350	1	springer	springer	NOUN
bracis-28354	350	2	,	,	PUNCT
bracis-28354	350	3	heidelberg	heidelberg	PROPN
bracis-28354	350	4	(	(	PUNCT
bracis-28354	350	5	2016	2016	NUM
bracis-28354	350	6	)	)	PUNCT
bracis-28354	350	7	.	.	PUNCT
bracis-28354	351	1	https://doi.org/10.1007/978-3-662-50497-0	https://doi.org/10.1007/978-3-662-50497-0	PROPN
bracis-28354	351	2	lecun	lecun	ADV
bracis-28354	351	3	,	,	PUNCT
bracis-28354	351	4	y.	y.	PROPN
bracis-28354	351	5	,	,	PUNCT
bracis-28354	351	6	bengio	bengio	PROPN
bracis-28354	351	7	,	,	PUNCT
bracis-28354	351	8	y.	y.	PROPN
bracis-28354	351	9	,	,	PUNCT
bracis-28354	351	10	hinton	hinton	PROPN
bracis-28354	351	11	,	,	PUNCT
bracis-28354	351	12	g.	g.	PROPN
bracis-28354	351	13	:	:	PUNCT
bracis-28354	351	14	deep	deep	ADJ
bracis-28354	351	15	learning	learning	NOUN
bracis-28354	351	16	.	.	PUNCT
bracis-28354	352	1	nature	nature	NOUN
bracis-28354	352	2	521(7553	521(7553	NUM
bracis-28354	352	3	)	)	PUNCT
bracis-28354	352	4	,	,	PUNCT
bracis-28354	352	5	436–444	436–444	NUM
bracis-28354	352	6	(	(	PUNCT
bracis-28354	352	7	2015	2015	NUM
bracis-28354	352	8	)	)	PUNCT
bracis-28354	352	9	article	article	NOUN
bracis-28354	352	10	  	  	SPACE
bracis-28354	352	11	google	google	PROPN
bracis-28354	352	12	scholar	scholar	NOUN
bracis-28354	352	13	  	  	SPACE
bracis-28354	352	14	lundberg	lundberg	PROPN
bracis-28354	352	15	,	,	PUNCT
bracis-28354	352	16	s.m	s.m	PROPN
bracis-28354	352	17	.	.	PROPN
bracis-28354	352	18	,	,	PUNCT
bracis-28354	352	19	lee	lee	PROPN
bracis-28354	352	20	,	,	PUNCT
bracis-28354	352	21	s.i	s.i	PROPN
bracis-28354	352	22	.	.	PROPN
bracis-28354	352	23	:	:	PUNCT
bracis-28354	353	1	a	a	DET
bracis-28354	353	2	unified	unified	ADJ
bracis-28354	353	3	approach	approach	NOUN
bracis-28354	353	4	to	to	ADP
bracis-28354	353	5	interpreting	interpret	VERB
bracis-28354	353	6	model	model	NOUN
bracis-28354	353	7	predictions	prediction	NOUN
bracis-28354	353	8	.	.	PUNCT
bracis-28354	354	1	in	in	ADP
bracis-28354	354	2	:	:	PUNCT
bracis-28354	354	3	advances	advance	NOUN
bracis-28354	354	4	in	in	ADP
bracis-28354	354	5	neural	neural	ADJ
bracis-28354	354	6	information	information	NOUN
bracis-28354	354	7	processing	processing	NOUN
bracis-28354	354	8	systems	system	NOUN
bracis-28354	354	9	,	,	PUNCT
bracis-28354	354	10	vol	vol	NOUN
bracis-28354	354	11	.	.	PROPN
bracis-28354	354	12	30	30	NUM
bracis-28354	354	13	(	(	PUNCT
bracis-28354	354	14	2017	2017	NUM
bracis-28354	354	15	)	)	PUNCT
bracis-28354	354	16	google	google	PROPN
bracis-28354	354	17	scholar	scholar	NOUN
bracis-28354	354	18	  	  	SPACE
bracis-28354	354	19	marques	marques	PROPN
bracis-28354	354	20	-	-	NOUN
bracis-28354	354	21	silva	silva	PROPN
bracis-28354	354	22	,	,	PUNCT
bracis-28354	354	23	j.	j.	PROPN
bracis-28354	354	24	,	,	PUNCT
bracis-28354	354	25	gerspacher	gerspacher	NOUN
bracis-28354	354	26	,	,	PUNCT
bracis-28354	354	27	t.	t.	PROPN
bracis-28354	354	28	,	,	PUNCT
bracis-28354	354	29	cooper	cooper	PROPN
bracis-28354	354	30	,	,	PUNCT
bracis-28354	354	31	m.	m.	NOUN
bracis-28354	354	32	,	,	PUNCT
bracis-28354	354	33	ignatiev	ignatiev	PROPN
bracis-28354	354	34	,	,	PUNCT
bracis-28354	354	35	a.	a.	NOUN
bracis-28354	354	36	,	,	PUNCT
bracis-28354	354	37	narodytska	narodytska	PROPN
bracis-28354	354	38	,	,	PUNCT
bracis-28354	354	39	n.	n.	NOUN
bracis-28354	354	40	:	:	PUNCT
bracis-28354	354	41	explaining	explain	VERB
bracis-28354	354	42	naive	naive	ADJ
bracis-28354	354	43	bayes	baye	NOUN
bracis-28354	354	44	and	and	CCONJ
bracis-28354	354	45	other	other	ADJ
bracis-28354	354	46	linear	linear	PROPN
bracis-28354	354	47	classifiers	classifier	NOUN
bracis-28354	354	48	with	with	ADP
bracis-28354	354	49	polynomial	polynomial	ADJ
bracis-28354	354	50	time	time	NOUN
bracis-28354	354	51	and	and	CCONJ
bracis-28354	354	52	delay	delay	NOUN
bracis-28354	354	53	.	.	PUNCT
bracis-28354	355	1	neurips	neurips	PROPN
bracis-28354	355	2	33	33	NUM
bracis-28354	355	3	,	,	PUNCT
bracis-28354	355	4	20590–20600	20590–20600	NUM
bracis-28354	355	5	(	(	PUNCT
bracis-28354	355	6	2020	2020	NUM
bracis-28354	355	7	)	)	PUNCT
bracis-28354	355	8	google	google	PROPN
bracis-28354	355	9	scholar	scholar	NOUN
bracis-28354	355	10	  	  	SPACE
bracis-28354	355	11	mesquita	mesquita	PROPN
bracis-28354	355	12	,	,	PUNCT
bracis-28354	355	13	d.p	d.p	PROPN
bracis-28354	355	14	.	.	PROPN
bracis-28354	355	15	,	,	PUNCT
bracis-28354	355	16	rocha	rocha	PROPN
bracis-28354	355	17	,	,	PUNCT
bracis-28354	355	18	l.s	l.s	PROPN
bracis-28354	355	19	.	.	PROPN
bracis-28354	355	20	,	,	PUNCT
bracis-28354	355	21	gomes	gome	NOUN
bracis-28354	355	22	,	,	PUNCT
bracis-28354	355	23	j.p.p	j.p.p	PROPN
bracis-28354	355	24	.	.	PROPN
bracis-28354	355	25	,	,	PUNCT
bracis-28354	355	26	rocha	rocha	PROPN
bracis-28354	355	27	neto	neto	PROPN
bracis-28354	355	28	,	,	PUNCT
bracis-28354	355	29	a.r	a.r	PROPN
bracis-28354	355	30	.	.	PROPN
bracis-28354	355	31	:	:	PUNCT
bracis-28354	356	1	classification	classification	NOUN
bracis-28354	356	2	with	with	ADP
bracis-28354	356	3	reject	reject	NOUN
bracis-28354	356	4	option	option	NOUN
bracis-28354	356	5	for	for	ADP
bracis-28354	356	6	software	software	NOUN
bracis-28354	356	7	defect	defect	NOUN
bracis-28354	356	8	prediction	prediction	NOUN
bracis-28354	356	9	.	.	PUNCT
bracis-28354	357	1	appl	appl	PROPN
bracis-28354	357	2	.	.	PUNCT
bracis-28354	357	3	soft	soft	ADJ
bracis-28354	357	4	comput	comput	NOUN
bracis-28354	357	5	.	.	PUNCT
bracis-28354	358	1	49	49	NUM
bracis-28354	358	2	,	,	PUNCT
bracis-28354	358	3	1085–1093	1085–1093	NUM
bracis-28354	358	4	(	(	PUNCT
bracis-28354	358	5	2016	2016	NUM
bracis-28354	358	6	)	)	PUNCT
bracis-28354	358	7	google	google	PROPN
bracis-28354	358	8	scholar	scholar	NOUN
bracis-28354	358	9	  	  	SPACE
bracis-28354	358	10	ribeiro	ribeiro	PROPN
bracis-28354	358	11	,	,	PUNCT
bracis-28354	358	12	m.t	m.t	PROPN
bracis-28354	358	13	.	.	PROPN
bracis-28354	358	14	,	,	PUNCT
bracis-28354	358	15	singh	singh	PROPN
bracis-28354	358	16	,	,	PUNCT
bracis-28354	358	17	s.	s.	PROPN
bracis-28354	358	18	,	,	PUNCT
bracis-28354	358	19	guestrin	guestrin	NOUN
bracis-28354	358	20	,	,	PUNCT
bracis-28354	358	21	c.	c.	PROPN
bracis-28354	358	22	:	:	PUNCT
bracis-28354	358	23	“	"	PUNCT
bracis-28354	358	24	why	why	SCONJ
bracis-28354	358	25	should	should	AUX
bracis-28354	358	26	i	i	PRON
bracis-28354	358	27	trust	trust	VERB
bracis-28354	358	28	you	you	PRON
bracis-28354	358	29	?	?	PUNCT
bracis-28354	358	30	”	"	PUNCT
bracis-28354	358	31	explaining	explain	VERB
bracis-28354	358	32	the	the	DET
bracis-28354	358	33	predictions	prediction	NOUN
bracis-28354	358	34	of	of	ADP
bracis-28354	358	35	any	any	DET
bracis-28354	358	36	classifier	classifier	NOUN
bracis-28354	358	37	.	.	PUNCT
bracis-28354	359	1	in	in	ADP
bracis-28354	359	2	:	:	PUNCT
bracis-28354	359	3	22nd	22nd	NOUN
bracis-28354	359	4	acm	acm	PROPN
bracis-28354	359	5	sigkdd	sigkdd	NOUN
bracis-28354	359	6	,	,	PUNCT
bracis-28354	359	7	pp	pp	PROPN
bracis-28354	359	8	.	.	PUNCT
bracis-28354	360	1	1135–1144	1135–1144	NUM
bracis-28354	360	2	(	(	PUNCT
bracis-28354	360	3	2016	2016	NUM
bracis-28354	360	4	)	)	PUNCT
bracis-28354	360	5	google	google	PROPN
bracis-28354	360	6	scholar	scholar	NOUN
bracis-28354	360	7	  	  	SPACE
bracis-28354	360	8	ribeiro	ribeiro	PROPN
bracis-28354	360	9	,	,	PUNCT
bracis-28354	360	10	m.t	m.t	PROPN
bracis-28354	360	11	.	.	PROPN
bracis-28354	360	12	,	,	PUNCT
bracis-28354	360	13	singh	singh	PROPN
bracis-28354	360	14	,	,	PUNCT
bracis-28354	360	15	s.	s.	PROPN
bracis-28354	360	16	,	,	PUNCT
bracis-28354	360	17	guestrin	guestrin	NOUN
bracis-28354	360	18	,	,	PUNCT
bracis-28354	360	19	c.	c.	PROPN
bracis-28354	360	20	:	:	PUNCT
bracis-28354	360	21	anchors	anchor	NOUN
bracis-28354	360	22	:	:	PUNCT
bracis-28354	360	23	high	high	ADJ
bracis-28354	360	24	-	-	PUNCT
bracis-28354	360	25	precision	precision	NOUN
bracis-28354	360	26	model	model	NOUN
bracis-28354	360	27	-	-	ADJ
bracis-28354	360	28	agnostic	agnostic	ADJ
bracis-28354	360	29	explanations	explanation	NOUN
bracis-28354	360	30	.	.	PUNCT
bracis-28354	361	1	in	in	ADP
bracis-28354	361	2	:	:	PUNCT
bracis-28354	361	3	aaai	aaai	PROPN
bracis-28354	361	4	,	,	PUNCT
bracis-28354	361	5	vol	vol	NOUN
bracis-28354	361	6	.	.	PROPN
bracis-28354	361	7	32	32	NUM
bracis-28354	361	8	(	(	PUNCT
bracis-28354	361	9	2018	2018	NUM
bracis-28354	361	10	)	)	PUNCT
bracis-28354	361	11	google	google	PROPN
bracis-28354	361	12	scholar	scholar	NOUN
bracis-28354	361	13	  	  	SPACE
bracis-28354	361	14	richhariya	richhariya	NOUN
bracis-28354	361	15	,	,	PUNCT
bracis-28354	361	16	b.	b.	PROPN
bracis-28354	361	17	,	,	PUNCT
bracis-28354	361	18	tanveer	tanveer	PROPN
bracis-28354	361	19	,	,	PUNCT
bracis-28354	361	20	m.	m.	NOUN
bracis-28354	361	21	,	,	PUNCT
bracis-28354	361	22	rashid	rashid	PROPN
bracis-28354	361	23	,	,	PUNCT
bracis-28354	361	24	a.h	a.h	PROPN
bracis-28354	361	25	.	.	PROPN
bracis-28354	361	26	,	,	PUNCT
bracis-28354	361	27	initiative	initiative	NOUN
bracis-28354	361	28	,	,	PUNCT
bracis-28354	361	29	a.d.n	a.d.n	PROPN
bracis-28354	361	30	.	.	PROPN
bracis-28354	361	31	,	,	PUNCT
bracis-28354	361	32	et	et	PROPN
bracis-28354	361	33	al	al	PROPN
bracis-28354	361	34	.	.	PUNCT
bracis-28354	361	35	:	:	PUNCT
bracis-28354	362	1	diagnosis	diagnosis	NOUN
bracis-28354	362	2	of	of	ADP
bracis-28354	362	3	alzheimer	alzheimer	PROPN
bracis-28354	362	4	’s	’s	PART
bracis-28354	362	5	disease	disease	NOUN
bracis-28354	362	6	using	use	VERB
bracis-28354	362	7	universum	universum	PROPN
bracis-28354	362	8	support	support	PROPN
bracis-28354	362	9	vector	vector	NOUN
bracis-28354	362	10	machine	machine	NOUN
bracis-28354	362	11	based	base	VERB
bracis-28354	362	12	recursive	recursive	ADJ
bracis-28354	362	13	feature	feature	NOUN
bracis-28354	362	14	elimination	elimination	NOUN
bracis-28354	362	15	(	(	PUNCT
bracis-28354	362	16	usvm	usvm	ADJ
bracis-28354	362	17	-	-	PUNCT
bracis-28354	362	18	rfe	rfe	NOUN
bracis-28354	362	19	)	)	PUNCT
bracis-28354	362	20	.	.	PUNCT
bracis-28354	362	21	biomed	biome	VERB
bracis-28354	362	22	.	.	PUNCT
bracis-28354	363	1	signal	signal	ADJ
bracis-28354	363	2	process	process	NOUN
bracis-28354	363	3	.	.	PUNCT
bracis-28354	364	1	control	control	NOUN
bracis-28354	364	2	59	59	NUM
bracis-28354	364	3	,	,	PUNCT
bracis-28354	364	4	101903	101903	NUM
bracis-28354	364	5	(	(	PUNCT
bracis-28354	364	6	2020	2020	NUM
bracis-28354	364	7	)	)	PUNCT
bracis-28354	364	8	article	article	NOUN
bracis-28354	364	9	  	  	SPACE
bracis-28354	364	10	google	google	PROPN
bracis-28354	364	11	scholar	scholar	NOUN
bracis-28354	364	12	  	  	SPACE
bracis-28354	364	13	vapnik	vapnik	X
bracis-28354	364	14	,	,	PUNCT
bracis-28354	364	15	v.	v.	ADV
bracis-28354	364	16	:	:	PUNCT
bracis-28354	364	17	statistical	statistical	ADJ
bracis-28354	364	18	learning	learning	NOUN
bracis-28354	364	19	theory	theory	NOUN
bracis-28354	364	20	.	.	PUNCT
bracis-28354	365	1	wiley	wiley	PROPN
bracis-28354	365	2	(	(	PUNCT
bracis-28354	365	3	1998	1998	NUM
bracis-28354	365	4	)	)	PUNCT
bracis-28354	365	5	google	google	PROPN
bracis-28354	365	6	scholar	scholar	NOUN
bracis-28354	365	7	  	  	SPACE
bracis-28354	365	8	weld	weld	NOUN
bracis-28354	365	9	,	,	PUNCT
bracis-28354	365	10	d.s	d.s	PROPN
bracis-28354	365	11	.	.	PROPN
bracis-28354	365	12	,	,	PUNCT
bracis-28354	365	13	bansal	bansal	NOUN
bracis-28354	365	14	,	,	PUNCT
bracis-28354	365	15	g.	g.	NOUN
bracis-28354	365	16	:	:	PUNCT
bracis-28354	365	17	intelligible	intelligible	ADJ
bracis-28354	365	18	artificial	artificial	ADJ
bracis-28354	365	19	intelligence	intelligence	NOUN
bracis-28354	365	20	.	.	PUNCT
bracis-28354	366	1	corr	corr	PROPN
bracis-28354	366	2	abs/1803.04263	abs/1803.04263	PROPN
bracis-28354	366	3	(	(	PUNCT
bracis-28354	366	4	2018	2018	NUM
bracis-28354	366	5	)	)	PUNCT
bracis-28354	366	6	google	google	PROPN
bracis-28354	366	7	scholar	scholar	NOUN
bracis-28354	366	8	  	  	SPACE
bracis-28354	366	9	yang	yang	PROPN
bracis-28354	366	10	,	,	PUNCT
bracis-28354	366	11	w.	w.	PROPN
bracis-28354	366	12	,	,	PUNCT
bracis-28354	366	13	si	si	PROPN
bracis-28354	366	14	,	,	PUNCT
bracis-28354	366	15	y.	y.	PROPN
bracis-28354	366	16	,	,	PUNCT
bracis-28354	366	17	wang	wang	PROPN
bracis-28354	366	18	,	,	PUNCT
bracis-28354	366	19	d.	d.	PROPN
bracis-28354	366	20	,	,	PUNCT
bracis-28354	366	21	guo	guo	PROPN
bracis-28354	366	22	,	,	PUNCT
bracis-28354	366	23	b.	b.	PROPN
bracis-28354	366	24	:	:	PUNCT
bracis-28354	366	25	automatic	automatic	ADJ
bracis-28354	366	26	recognition	recognition	NOUN
bracis-28354	366	27	of	of	ADP
bracis-28354	366	28	arrhythmia	arrhythmia	NOUN
bracis-28354	366	29	based	base	VERB
bracis-28354	366	30	on	on	ADP
bracis-28354	366	31	principal	principal	ADJ
bracis-28354	366	32	component	component	NOUN
bracis-28354	366	33	analysis	analysis	NOUN
bracis-28354	366	34	network	network	NOUN
bracis-28354	366	35	and	and	CCONJ
bracis-28354	366	36	linear	linear	ADJ
bracis-28354	366	37	support	support	NOUN
bracis-28354	366	38	vector	vector	NOUN
bracis-28354	366	39	machine	machine	NOUN
bracis-28354	366	40	.	.	PUNCT
bracis-28354	367	1	comput	comput	NOUN
bracis-28354	367	2	.	.	PUNCT
bracis-28354	368	1	biol	biol	PROPN
bracis-28354	368	2	.	.	PUNCT
bracis-28354	369	1	med	med	PROPN
bracis-28354	369	2	.	.	PUNCT
bracis-28354	370	1	101	101	NUM
bracis-28354	370	2	,	,	PUNCT
bracis-28354	370	3	22–32	22–32	NUM
bracis-28354	370	4	(	(	PUNCT
bracis-28354	370	5	2018	2018	NUM
bracis-28354	370	6	)	)	PUNCT
bracis-28354	370	7	article	article	NOUN
bracis-28354	370	8	  	  	SPACE
bracis-28354	370	9	google	google	PROPN
bracis-28354	370	10	scholar	scholar	NOUN
bracis-28354	370	11	  	  	SPACE
bracis-28354	370	12	download	download	NOUN
bracis-28354	370	13	references	reference	NOUN
bracis-28354	370	14	acknowledgments	acknowledgment	NOUN
bracis-28354	370	15	the	the	DET
bracis-28354	370	16	authors	author	NOUN
bracis-28354	370	17	thank	thank	VERB
bracis-28354	370	18	funcap	funcap	NOUN
bracis-28354	370	19	and	and	CCONJ
bracis-28354	370	20	cnpq	cnpq	VERB
bracis-28354	370	21	for	for	ADP
bracis-28354	370	22	partially	partially	ADV
bracis-28354	370	23	supporting	support	VERB
bracis-28354	370	24	our	our	PRON
bracis-28354	370	25	research	research	NOUN
bracis-28354	370	26	work	work	NOUN
bracis-28354	370	27	.	.	PUNCT
bracis-28354	371	1	author	author	NOUN
bracis-28354	371	2	information	information	NOUN
bracis-28354	371	3	authors	author	NOUN
bracis-28354	371	4	and	and	CCONJ
bracis-28354	371	5	affiliations	affiliation	NOUN
bracis-28354	371	6	instituto	instituto	PROPN
bracis-28354	371	7	federal	federal	PROPN
bracis-28354	371	8	de	de	PROPN
bracis-28354	371	9	educação	educação	PROPN
bracis-28354	371	10	,	,	PUNCT
bracis-28354	371	11	ciência	ciência	PROPN
bracis-28354	371	12	e	e	NOUN
bracis-28354	371	13	tecnologia	tecnologia	NOUN
bracis-28354	371	14	do	do	VERB
bracis-28354	371	15	ceará	ceará	NOUN
bracis-28354	371	16	(	(	PUNCT
bracis-28354	371	17	ifce	ifce	PROPN
bracis-28354	371	18	)	)	PUNCT
bracis-28354	371	19	,	,	PUNCT
bracis-28354	371	20	fortaleza	fortaleza	PROPN
bracis-28354	371	21	,	,	PUNCT
bracis-28354	371	22	brazil	brazil	PROPN
bracis-28354	371	23	francisco	francisco	PROPN
bracis-28354	371	24	mateus	mateus	PROPN
bracis-28354	371	25	rocha	rocha	PROPN
bracis-28354	371	26	,	,	PUNCT
bracis-28354	371	27	 	 	SPACE
bracis-28354	371	28	thiago	thiago	PROPN
bracis-28354	371	29	alves	alves	PROPN
bracis-28354	371	30	rocha	rocha	PROPN
bracis-28354	371	31	,	,	PUNCT
bracis-28354	371	32	 	 	SPACE
bracis-28354	371	33	reginaldo	reginaldo	PROPN
bracis-28354	371	34	pereira	pereira	PROPN
bracis-28354	371	35	fernandes	fernandes	PROPN
bracis-28354	371	36	ribeiro	ribeiro	PROPN
bracis-28354	371	37	 	 	SPACE
bracis-28354	371	38	&	&	CCONJ
bracis-28354	371	39	 	 	SPACE
bracis-28354	371	40	ajalmar	ajalmar	PROPN
bracis-28354	371	41	rêgo	rêgo	PROPN
bracis-28354	371	42	rocha	rocha	PROPN
bracis-28354	371	43	authors	authors	PROPN
bracis-28354	371	44	francisco	francisco	PROPN
bracis-28354	371	45	mateus	mateus	PROPN
bracis-28354	371	46	rochaview	rochaview	PROPN
bracis-28354	371	47	author	author	NOUN
bracis-28354	371	48	publications	publication	NOUN
bracis-28354	371	49	search	search	NOUN
bracis-28354	371	50	author	author	NOUN
bracis-28354	371	51	on	on	ADP
bracis-28354	371	52	:	:	PUNCT
bracis-28354	371	53	pubmed	pubmed	PROPN
bracis-28354	371	54	 	 	SPACE
bracis-28354	371	55	google	google	PROPN
bracis-28354	371	56	scholar	scholar	NOUN
bracis-28354	371	57	thiago	thiago	PROPN
bracis-28354	371	58	alves	alves	PROPN
bracis-28354	371	59	rochaview	rochaview	PROPN
bracis-28354	371	60	author	author	NOUN
bracis-28354	371	61	publications	publication	NOUN
bracis-28354	371	62	search	search	NOUN
bracis-28354	371	63	author	author	NOUN
bracis-28354	371	64	on	on	ADP
bracis-28354	371	65	:	:	PUNCT
bracis-28354	371	66	pubmed	pubmed	PROPN
bracis-28354	371	67	 	 	SPACE
bracis-28354	371	68	google	google	PROPN
bracis-28354	371	69	scholar	scholar	PROPN
bracis-28354	371	70	reginaldo	reginaldo	PROPN
bracis-28354	371	71	pereira	pereira	PROPN
bracis-28354	371	72	fernandes	fernandes	PROPN
bracis-28354	371	73	ribeiroview	ribeiroview	PROPN
bracis-28354	371	74	author	author	NOUN
bracis-28354	371	75	publications	publication	NOUN
bracis-28354	371	76	search	search	NOUN
bracis-28354	371	77	author	author	NOUN
bracis-28354	371	78	on	on	ADP
bracis-28354	371	79	:	:	PUNCT
bracis-28354	371	80	pubmed	pubmed	PROPN
bracis-28354	371	81	 	 	SPACE
bracis-28354	371	82	google	google	PROPN
bracis-28354	371	83	scholar	scholar	NOUN
bracis-28354	371	84	ajalmar	ajalmar	PROPN
bracis-28354	371	85	rêgo	rêgo	PROPN
bracis-28354	371	86	rochaview	rochaview	VERB
bracis-28354	371	87	author	author	NOUN
bracis-28354	371	88	publications	publication	NOUN
bracis-28354	371	89	search	search	NOUN
bracis-28354	371	90	author	author	NOUN
bracis-28354	371	91	on	on	ADP
bracis-28354	371	92	:	:	PUNCT
bracis-28354	371	93	pubmed	pubmed	PROPN
bracis-28354	371	94	 	 	SPACE
bracis-28354	371	95	google	google	PROPN
bracis-28354	371	96	scholar	scholar	NOUN
bracis-28354	371	97	corresponding	correspond	VERB
bracis-28354	371	98	author	author	NOUN
bracis-28354	371	99	correspondence	correspondence	NOUN
bracis-28354	371	100	to	to	ADP
bracis-28354	371	101	francisco	francisco	PROPN
bracis-28354	371	102	mateus	mateus	PROPN
bracis-28354	371	103	rocha	rocha	PROPN
bracis-28354	371	104	.	.	PUNCT
bracis-28354	372	1	editor	editor	NOUN
bracis-28354	372	2	information	information	NOUN
bracis-28354	372	3	editors	editor	NOUN
bracis-28354	372	4	and	and	CCONJ
bracis-28354	372	5	affiliations	affiliation	NOUN
bracis-28354	372	6	federal	federal	PROPN
bracis-28354	372	7	university	university	PROPN
bracis-28354	372	8	of	of	ADP
bracis-28354	372	9	são	são	PROPN
bracis-28354	372	10	carlos	carlos	PROPN
bracis-28354	372	11	,	,	PUNCT
bracis-28354	372	12	são	são	PROPN
bracis-28354	372	13	carlos	carlos	PROPN
bracis-28354	372	14	,	,	PUNCT
bracis-28354	372	15	brazil	brazil	PROPN
bracis-28354	372	16	murilo	murilo	PROPN
bracis-28354	372	17	c.	c.	PROPN
bracis-28354	372	18	naldi	naldi	PROPN
bracis-28354	372	19	centro	centro	PROPN
bracis-28354	372	20	universitario	universitario	PROPN
bracis-28354	372	21	da	da	PROPN
bracis-28354	372	22	fei	fei	PROPN
bracis-28354	372	23	,	,	PUNCT
bracis-28354	372	24	são	são	PROPN
bracis-28354	372	25	bernardo	bernardo	PROPN
bracis-28354	372	26	do	do	AUX
bracis-28354	372	27	campo	campo	PROPN
bracis-28354	372	28	,	,	PUNCT
bracis-28354	372	29	brazil	brazil	PROPN
bracis-28354	372	30	reinaldo	reinaldo	PROPN
bracis-28354	372	31	a.	a.	PROPN
bracis-28354	372	32	c.	c.	PROPN
bracis-28354	372	33	bianchi	bianchi	PROPN
bracis-28354	372	34	rights	right	NOUN
bracis-28354	372	35	and	and	CCONJ
bracis-28354	372	36	permissions	permission	NOUN
bracis-28354	372	37	reprints	reprint	NOUN
bracis-28354	372	38	and	and	CCONJ
bracis-28354	372	39	permissions	permission	VERB
bracis-28354	372	40	copyright	copyright	NOUN
bracis-28354	372	41	information	information	NOUN
bracis-28354	372	42	©	©	ADP
bracis-28354	372	43	2023	2023	NUM
bracis-28354	372	44	the	the	DET
bracis-28354	372	45	author(s	author(s	NOUN
bracis-28354	372	46	)	)	PUNCT
bracis-28354	372	47	,	,	PUNCT
bracis-28354	372	48	under	under	ADP
bracis-28354	372	49	exclusive	exclusive	ADJ
bracis-28354	372	50	license	license	NOUN
bracis-28354	372	51	to	to	ADP
bracis-28354	372	52	springer	springer	NOUN
bracis-28354	372	53	nature	nature	PROPN
bracis-28354	372	54	switzerland	switzerland	PROPN
bracis-28354	372	55	ag	ag	PROPN
bracis-28354	372	56	about	about	ADP
bracis-28354	372	57	this	this	DET
bracis-28354	372	58	paper	paper	NOUN
bracis-28354	372	59	cite	cite	VERB
bracis-28354	372	60	this	this	DET
bracis-28354	372	61	paper	paper	NOUN
bracis-28354	372	62	rocha	rocha	PROPN
bracis-28354	372	63	,	,	PUNCT
bracis-28354	372	64	f.m	f.m	PROPN
bracis-28354	372	65	.	.	PROPN
bracis-28354	372	66	,	,	PUNCT
bracis-28354	372	67	rocha	rocha	PROPN
bracis-28354	372	68	,	,	PUNCT
bracis-28354	372	69	t.a	t.a	PROPN
bracis-28354	372	70	.	.	PROPN
bracis-28354	372	71	,	,	PUNCT
bracis-28354	372	72	ribeiro	ribeiro	PROPN
bracis-28354	372	73	,	,	PUNCT
bracis-28354	372	74	r.p.f	r.p.f	PROPN
bracis-28354	372	75	.	.	PROPN
bracis-28354	372	76	,	,	PUNCT
bracis-28354	372	77	rocha	rocha	PROPN
bracis-28354	372	78	,	,	PUNCT
bracis-28354	372	79	a.r	a.r	PROPN
bracis-28354	372	80	.	.	PROPN
bracis-28354	372	81	(	(	PUNCT
bracis-28354	372	82	2023	2023	NUM
bracis-28354	372	83	)	)	PUNCT
bracis-28354	372	84	.	.	PUNCT
bracis-28354	373	1	logic	logic	NOUN
bracis-28354	373	2	-	-	PUNCT
bracis-28354	373	3	based	base	VERB
bracis-28354	373	4	explanations	explanation	NOUN
bracis-28354	373	5	for	for	ADP
bracis-28354	373	6	 	 	SPACE
bracis-28354	373	7	linear	linear	PROPN
bracis-28354	373	8	support	support	NOUN
bracis-28354	373	9	vector	vector	NOUN
bracis-28354	373	10	classifiers	classifier	NOUN
bracis-28354	373	11	with	with	ADP
bracis-28354	373	12	 	 	SPACE
bracis-28354	373	13	reject	reject	VERB
bracis-28354	373	14	option	option	NOUN
bracis-28354	373	15	.	.	PUNCT
bracis-28354	374	1	in	in	ADP
bracis-28354	374	2	:	:	PUNCT
bracis-28354	374	3	naldi	naldi	PROPN
bracis-28354	374	4	,	,	PUNCT
bracis-28354	374	5	m.c	m.c	PROPN
bracis-28354	374	6	.	.	PROPN
bracis-28354	374	7	,	,	PUNCT
bracis-28354	374	8	bianchi	bianchi	PROPN
bracis-28354	374	9	,	,	PUNCT
bracis-28354	374	10	r.a.c	r.a.c	ADP
bracis-28354	374	11	.	.	PUNCT
bracis-28354	374	12	(	(	PUNCT
bracis-28354	374	13	eds	ed	NOUN
bracis-28354	374	14	)	)	PUNCT
bracis-28354	374	15	intelligent	intelligent	ADJ
bracis-28354	374	16	systems	system	NOUN
bracis-28354	374	17	.	.	PUNCT
bracis-28354	375	1	bracis	bracis	PROPN
bracis-28354	375	2	2023	2023	NUM
bracis-28354	375	3	.	.	PUNCT
bracis-28354	376	1	lecture	lecture	NOUN
bracis-28354	376	2	notes	note	NOUN
bracis-28354	376	3	in	in	ADP
bracis-28354	376	4	computer	computer	NOUN
bracis-28354	376	5	science	science	NOUN
bracis-28354	376	6	(	(	PUNCT
bracis-28354	376	7	)	)	PUNCT
bracis-28354	376	8	,	,	PUNCT
bracis-28354	376	9	vol	vol	NOUN
bracis-28354	376	10	14195	14195	NUM
bracis-28354	376	11	.	.	PUNCT
bracis-28354	377	1	springer	springer	NOUN
bracis-28354	377	2	,	,	PUNCT
bracis-28354	377	3	cham	cham	PROPN
bracis-28354	377	4	.	.	PUNCT
bracis-28354	378	1	https://doi.org/10.1007/978-3-031-45368-7_10	https://doi.org/10.1007/978-3-031-45368-7_10	PROPN
bracis-28354	378	2	download	download	NOUN
bracis-28354	378	3	citation	citation	NOUN
bracis-28354	378	4	.ris	.ris	PUNCT
bracis-28354	379	1	.enw	.enw	PROPN
bracis-28354	379	2	.bib	.bib	PUNCT
bracis-28354	380	1	doi	doi	PROPN
bracis-28354	380	2	:	:	PUNCT
bracis-28354	380	3	https://doi.org/10.1007/978-3-031-45368-7_10	https://doi.org/10.1007/978-3-031-45368-7_10	X
bracis-28354	380	4	published	publish	VERB
bracis-28354	380	5	:	:	PUNCT
bracis-28354	380	6	12	12	NUM
bracis-28354	380	7	october	october	PROPN
bracis-28354	380	8	2023	2023	NUM
bracis-28354	380	9	publisher	publisher	NOUN
bracis-28354	380	10	name	name	NOUN
bracis-28354	380	11	:	:	PUNCT
bracis-28354	380	12	springer	springer	NOUN
bracis-28354	380	13	,	,	PUNCT
bracis-28354	380	14	cham	cham	PROPN
bracis-28354	380	15	print	print	PROPN
bracis-28354	380	16	isbn	isbn	PROPN
bracis-28354	380	17	:	:	PUNCT
bracis-28354	380	18	978	978	NUM
bracis-28354	380	19	-	-	SYM
bracis-28354	380	20	3	3	NUM
bracis-28354	380	21	-	-	PUNCT
bracis-28354	380	22	031	031	NUM
bracis-28354	380	23	-	-	PUNCT
bracis-28354	380	24	45367	45367	NUM
bracis-28354	380	25	-	-	PUNCT
bracis-28354	380	26	0	0	NUM
bracis-28354	380	27	online	online	ADJ
bracis-28354	380	28	isbn	isbn	NOUN
bracis-28354	380	29	:	:	PUNCT
bracis-28354	380	30	978	978	NUM
bracis-28354	380	31	-	-	SYM
bracis-28354	380	32	3	3	NUM
bracis-28354	380	33	-	-	PUNCT
bracis-28354	380	34	031	031	NUM
bracis-28354	380	35	-	-	PUNCT
bracis-28354	380	36	45368	45368	NUM
bracis-28354	380	37	-	-	PUNCT
bracis-28354	380	38	7	7	NUM
bracis-28354	380	39	ebook	ebook	NOUN
bracis-28354	380	40	packages	package	NOUN
bracis-28354	380	41	:	:	PUNCT
bracis-28354	380	42	computer	computer	NOUN
bracis-28354	380	43	sciencecomputer	sciencecomputer	NOUN
bracis-28354	380	44	science	science	NOUN
bracis-28354	380	45	(	(	PUNCT
bracis-28354	380	46	r0	r0	NOUN
bracis-28354	380	47	)	)	PUNCT
bracis-28354	380	48	share	share	VERB
bracis-28354	380	49	this	this	DET
bracis-28354	380	50	paper	paper	NOUN
bracis-28354	380	51	anyone	anyone	PRON
bracis-28354	380	52	you	you	PRON
bracis-28354	380	53	share	share	VERB
bracis-28354	380	54	the	the	DET
bracis-28354	380	55	following	follow	VERB
bracis-28354	380	56	link	link	NOUN
bracis-28354	380	57	with	with	ADP
bracis-28354	380	58	will	will	AUX
bracis-28354	380	59	be	be	AUX
bracis-28354	380	60	able	able	ADJ
bracis-28354	380	61	to	to	PART
bracis-28354	380	62	read	read	VERB
bracis-28354	380	63	this	this	DET
bracis-28354	380	64	content	content	NOUN
bracis-28354	380	65	:	:	PUNCT
bracis-28354	380	66	get	get	VERB
bracis-28354	380	67	shareable	shareable	ADJ
bracis-28354	380	68	linksorry	linksorry	NOUN
bracis-28354	380	69	,	,	PUNCT
bracis-28354	380	70	a	a	DET
bracis-28354	380	71	shareable	shareable	ADJ
bracis-28354	380	72	link	link	NOUN
bracis-28354	380	73	is	be	AUX
bracis-28354	380	74	not	not	PART
bracis-28354	380	75	currently	currently	ADV
bracis-28354	380	76	available	available	ADJ
bracis-28354	380	77	for	for	ADP
bracis-28354	380	78	this	this	DET
bracis-28354	380	79	article	article	NOUN
bracis-28354	380	80	.	.	PUNCT
bracis-28354	381	1	copy	copy	VERB
bracis-28354	381	2	shareable	shareable	ADJ
bracis-28354	381	3	link	link	NOUN
bracis-28354	381	4	to	to	PART
bracis-28354	381	5	clipboard	clipboard	NOUN
bracis-28354	381	6	provided	provide	VERB
bracis-28354	381	7	by	by	ADP
bracis-28354	381	8	the	the	DET
bracis-28354	381	9	springer	springer	NOUN
bracis-28354	381	10	nature	nature	PROPN
bracis-28354	381	11	sharedit	sharedit	PROPN
bracis-28354	381	12	content	content	NOUN
bracis-28354	381	13	-	-	PUNCT
bracis-28354	381	14	sharing	share	VERB
bracis-28354	381	15	initiative	initiative	NOUN
bracis-28354	381	16	keywords	keyword	VERB
bracis-28354	381	17	logic	logic	NOUN
bracis-28354	381	18	-	-	PUNCT
bracis-28354	381	19	based	base	VERB
bracis-28354	381	20	explainable	explainable	ADJ
bracis-28354	381	21	ai	ai	NOUN
bracis-28354	381	22	support	support	NOUN
bracis-28354	381	23	vector	vector	NOUN
bracis-28354	381	24	machines	machine	NOUN
bracis-28354	381	25	classification	classification	NOUN
bracis-28354	381	26	with	with	ADP
bracis-28354	381	27	reject	reject	NOUN
bracis-28354	381	28	option	option	NOUN
bracis-28354	381	29	publish	publish	NOUN
bracis-28354	381	30	with	with	ADP
bracis-28354	381	31	us	us	PROPN
bracis-28354	381	32	policies	policy	NOUN
bracis-28354	381	33	and	and	CCONJ
bracis-28354	381	34	ethics	ethic	NOUN
bracis-28354	381	35	profiles	profile	NOUN
bracis-28354	381	36	reginaldo	reginaldo	PROPN
bracis-28354	381	37	pereira	pereira	PROPN
bracis-28354	381	38	fernandes	fernandes	PROPN
bracis-28354	381	39	ribeiro	ribeiro	PROPN
bracis-28354	381	40	view	view	PROPN
bracis-28354	381	41	author	author	NOUN
bracis-28354	381	42	profile	profile	NOUN
bracis-28354	381	43	search	search	NOUN
bracis-28354	381	44	search	search	NOUN
bracis-28354	381	45	by	by	ADP
bracis-28354	381	46	keyword	keyword	NOUN
bracis-28354	381	47	or	or	CCONJ
bracis-28354	381	48	author	author	NOUN
bracis-28354	381	49	search	search	NOUN
bracis-28354	381	50	navigation	navigation	NOUN
bracis-28354	381	51	find	find	VERB
bracis-28354	381	52	a	a	DET
bracis-28354	381	53	journal	journal	NOUN
bracis-28354	381	54	publish	publish	VERB
bracis-28354	381	55	with	with	ADP
bracis-28354	381	56	us	we	PRON
bracis-28354	381	57	track	track	VERB
bracis-28354	381	58	your	your	PRON
bracis-28354	381	59	research	research	NOUN
bracis-28354	381	60	discover	discover	VERB
bracis-28354	381	61	content	content	NOUN
bracis-28354	381	62	journals	journal	NOUN
bracis-28354	381	63	a	a	DET
bracis-28354	381	64	-	-	PUNCT
bracis-28354	381	65	z	z	NOUN
bracis-28354	381	66	books	book	NOUN
bracis-28354	381	67	a	a	DET
bracis-28354	381	68	-	-	PUNCT
bracis-28354	381	69	z	z	NOUN
bracis-28354	381	70	publish	publish	NOUN
bracis-28354	381	71	with	with	ADP
bracis-28354	381	72	us	us	PROPN
bracis-28354	381	73	journal	journal	PROPN
bracis-28354	381	74	finder	finder	PROPN
bracis-28354	381	75	publish	publish	VERB
bracis-28354	381	76	your	your	PRON
bracis-28354	381	77	research	research	NOUN
bracis-28354	381	78	language	language	NOUN
bracis-28354	381	79	editing	edit	VERB
bracis-28354	381	80	open	open	ADJ
bracis-28354	381	81	access	access	NOUN
bracis-28354	381	82	publishing	publishing	NOUN
bracis-28354	381	83	products	product	NOUN
bracis-28354	381	84	and	and	CCONJ
bracis-28354	381	85	services	service	NOUN
bracis-28354	381	86	our	our	PRON
bracis-28354	381	87	products	product	NOUN
bracis-28354	381	88	librarians	librarian	VERB
bracis-28354	381	89	societies	society	NOUN
bracis-28354	381	90	partners	partner	NOUN
bracis-28354	381	91	and	and	CCONJ
bracis-28354	381	92	advertisers	advertiser	NOUN
bracis-28354	381	93	our	our	PRON
bracis-28354	381	94	brands	brand	NOUN
bracis-28354	381	95	springer	springer	NOUN
bracis-28354	381	96	nature	nature	PROPN
bracis-28354	381	97	portfolio	portfolio	PROPN
bracis-28354	381	98	bmc	bmc	PROPN
bracis-28354	381	99	palgrave	palgrave	PROPN
bracis-28354	381	100	macmillan	macmillan	PROPN
bracis-28354	381	101	apress	apress	PROPN
bracis-28354	381	102	discover	discover	VERB
bracis-28354	381	103	your	your	PRON
bracis-28354	381	104	privacy	privacy	NOUN
bracis-28354	381	105	choices	choice	NOUN
bracis-28354	381	106	/	/	SYM
bracis-28354	381	107	manage	manage	NOUN
bracis-28354	381	108	cookies	cookie	NOUN
bracis-28354	381	109	your	your	PRON
bracis-28354	381	110	us	us	PROPN
bracis-28354	382	1	state	state	NOUN
bracis-28354	382	2	privacy	privacy	NOUN
bracis-28354	382	3	rights	right	NOUN
bracis-28354	382	4	accessibility	accessibility	NOUN
bracis-28354	382	5	statement	statement	NOUN
bracis-28354	382	6	terms	term	NOUN
bracis-28354	382	7	and	and	CCONJ
bracis-28354	382	8	conditions	condition	NOUN
bracis-28354	382	9	privacy	privacy	NOUN
bracis-28354	382	10	policy	policy	NOUN
bracis-28354	382	11	help	help	NOUN
bracis-28354	382	12	and	and	CCONJ
bracis-28354	382	13	support	support	VERB
bracis-28354	382	14	legal	legal	ADJ
bracis-28354	382	15	notice	notice	NOUN
bracis-28354	382	16	cancel	cancel	VERB
bracis-28354	382	17	contracts	contract	NOUN
bracis-28354	382	18	here	here	ADV
bracis-28354	382	19	129.74.145.123	129.74.145.123	NUM
bracis-28354	382	20	hesburgh	hesburgh	PROPN
bracis-28354	382	21	library	library	PROPN
bracis-28354	382	22	er	er	INTJ
bracis-28354	382	23	unit	unit	NOUN
bracis-28354	382	24	(	(	PUNCT
bracis-28354	382	25	3005732405	3005732405	NUM
bracis-28354	382	26	)	)	PUNCT
bracis-28354	382	27	northeast	northeast	ADJ
bracis-28354	382	28	research	research	NOUN
bracis-28354	382	29	libraries	library	NOUN
bracis-28354	382	30	(	(	PUNCT
bracis-28354	382	31	nerl	nerl	PROPN
bracis-28354	382	32	)	)	PUNCT
bracis-28354	382	33	(	(	PUNCT
bracis-28354	382	34	8200828607	8200828607	NUM
bracis-28354	382	35	)	)	PUNCT
bracis-28354	382	36	nerl	nerl	VERB
bracis-28354	382	37	ta	ta	X
bracis-28354	382	38	account	account	NOUN
bracis-28354	382	39	(	(	PUNCT
bracis-28354	382	40	3006206169	3006206169	NUM
bracis-28354	382	41	)	)	PUNCT
bracis-28354	382	42	university	university	NOUN
bracis-28354	382	43	of	of	ADP
bracis-28354	382	44	notre	notre	PROPN
bracis-28354	382	45	dame	dame	PROPN
bracis-28354	382	46	hesburgh	hesburgh	PROPN
bracis-28354	382	47	library	library	NOUN
bracis-28354	382	48	(	(	PUNCT
bracis-28354	382	49	3000184373	3000184373	NUM
bracis-28354	382	50	)	)	PUNCT
bracis-28354	383	1	©	©	ADP
bracis-28354	383	2	2025	2025	NUM
bracis-28354	383	3	springer	springer	NOUN
bracis-28354	383	4	nature	nature	NOUN