UPF at EPE 2017: transduction-based deep analysis

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To access the full text documents, please follow this link: http://hdl.handle.net/10230/34270

dc.contributor.author	Mille, Simon
dc.contributor.author	Latorre, Iván
dc.contributor.author	Wanner, Leo
dc.date	2017
dc.identifier.citation	Mille S, Carlini R, Latorre I, Wanner W. UPF at EPE 2017: transduction-based deep analysis. In: Proceedings of the 2017 Shared Task on Extrinsic Parser Evaluation (EPE 2017); 2017 Sept 20; Pisa, Italy. p. 80-8.
dc.identifier.uri	http://hdl.handle.net/10230/34270
dc.format	application/pdf
dc.language.iso	eng
dc.publisher	ACL (Association for Computational Linguistics)
dc.relation	Proceedings of the 2017 Shared Task on Extrinsic Parser Evaluation (EPE 2017); 2017 Sept 20; Pisa, Italy. p. 80-8.
dc.relation	info:eu-repo/grantAgreement/EC/H2020/645012
dc.rights	© ACL, Creative Commons Attribution 4.0 License
dc.rights	info:eu-repo/semantics/openAccess
dc.title	UPF at EPE 2017: transduction-based deep analysis
dc.type	info:eu-repo/semantics/conferenceObject
dc.type	info:eu-repo/semantics/publishedVersion
dc.description.abstract	Comunicació presentada a: Shared Task on Extrinsic Parser Evaluation (EPE 2017), celebrada a Pisa, Itàlia, el 20 de setembre de 2017.
dc.description.abstract	This paper describes the runs submitted to EPE 2017 by Universitat Pompeu Fabra. The three outputs correspond to three different levels of linguistic abstraction: (i) a surface-syntactic tree, (ii) a deep-syntactic tree, and (iii) a predicateargument graph. The surface-syntactic tree is obtained with an off-the-shelf parser trained on the CoNLL’09 Penn Treebank, and the deeper representations by running a sequence of graph transduction grammars on the output of the parser.

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