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