DEEP SEMANTIC ROLE LABELING BR

CLASSICAL APPROACH

Features

ID	FORM	LEMMA	GPOS	MORF	DTREE	FUNC	CTREE	PRED	ARG
1	Pesquisadores	pesquisador	n	M	P	2	SUBJ	(FCL(NP*)	-
2	acham	achar	v-fin	PR	3P	IND	0	STA	(VP*)
3	que	que	conj-s	-	6	SUB	(FCL*	-	(A1*
4	as	o	art	F	P	5	>N	(NP*	-
5	linhas	linha	n	F	P	6	SUBJ	*)	-
6	podem	poder	v-fin	PR	3P	IND	2	ACC	(VP*
7	ser	ser	v-inf	-	6	MV	*)	-	*
8	falhas	falha	n	F	P	7	SC	(NP*	-
9	geológicas	geológico	adj	F	P	8	N<	(ADJP*)))	-
10	.	-	pu	-	2	PU	*)	-	*

DEEP SEMANTIC ROLE LABELING EN

References (EN)

(ZHOU, 2016)
End-to-end Learning of Semantic Role Labeling Using Recurrent Neural Networks

http://www.aclweb.org/anthology/P15-1109

(COLLOBERT, 2011)
Natural Language Processing (Almost) from Scratch

www.jmlr.org/papers/volume12/collobert11a/collobert11a.pdf

SEMANTIC ROLE LABELING BR

References (PT)

(ALVA-MANCHEGO, 2013)
Anotação automática semissupervisionada de papéis semânticos para o português do Brasil

http://www.teses.usp.br/teses/disponiveis/55/55134/tde-14032013-150816/publico/dissrevfernandoAlva.pdf

EMBEDDINGS

References (PT)

REPO

http://www.nilc.icmc.usp.br/nilc/index.php/repositorio-de-word-embeddings-do-nilc

References (EN)

(HARTMANN ET AL, 2017) 
Portuguese Word Embeddings: Evaluating on Word Analogies and Natural Language Tasks

https://arxiv.org/abs/1708.06025