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dc.contributor.author Mille, Simon
dc.contributor.author Latorre, Iván
dc.contributor.author Wanner, Leo
dc.date.accessioned 2018-03-28T13:26:12Z
dc.date.available 2018-03-28T13:26:12Z
dc.date.issued 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.description 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.
dc.format.mimetype application/pdf
dc.language.iso eng
dc.publisher ACL (Association for Computational Linguistics)
dc.relation.ispartof Proceedings of the 2017 Shared Task on Extrinsic Parser Evaluation (EPE 2017); 2017 Sept 20; Pisa, Italy. p. 80-8.
dc.rights © ACL, Creative Commons Attribution 4.0 License
dc.title UPF at EPE 2017: transduction-based deep analysis
dc.type info:eu-repo/semantics/conferenceObject
dc.relation.projectID info:eu-repo/grantAgreement/EC/H2020/645012
dc.rights.accessRights info:eu-repo/semantics/openAccess
dc.type.version info:eu-repo/semantics/publishedVersion


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