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dc.contributor.author Padró, Muntsa
dc.contributor.author Ballesteros, Miguel
dc.contributor.author Martínez, Héctor
dc.contributor.author Bohnet, Bernd
dc.date.accessioned 2013-11-08T08:49:19Z
dc.date.available 2013-11-08T08:49:19Z
dc.date.issued 2013
dc.identifier.citation Padró M, Ballesteros M, Martínez, H, Bohnet, B. Finding Dependency Parsing Limits over a Large Spanish Corpus. En: Proceedings of the Sixth International Joint Conference on Natural Language Processing; 2013 October 14-18; Nagoya, Japan. Nagoya: Asian Federation of Natural Language Processing; 2013. p. 942-946.
dc.identifier.uri http://hdl.handle.net/10230/21253
dc.description.abstract This paper studies the performance of different parsers over a large Spanish treebank. The aim of this work is to assess the limitations of state-of-the-art parsers. We want to select the most appropriate parser for subcategorization Frame acquisition, and we focus our analysis on two aspects: the accuracy drop when parsing out-of-domain data, and the performance over specific labels relevant to our task.
dc.description.sponsorship HM has been partially funded by the European Commission’s 7th Framework Program under grant agreement 238405 (CLARA). MP has been funded by the European Project PANACEA (FP7-ICT-2010- 248064).
dc.format.mimetype application/pdf
dc.language.iso eng
dc.publisher ACL (Association for Computational Linguistics)
dc.relation.ispartof Proceedings of the Sixth International Joint Conference on Natural Language Processing; 2013 October 14-18; Nagoya, Japan. Nagoya: Asian Federation of Natural Language Processing; 2013. p. 942-946.
dc.relation.isreferencedby http://hdl.handle.net/10230/27118
dc.rights © ACL, Creative Commons Attribution-NonCommercial-ShareAlike 3.0 License
dc.subject.other Anàlisi automàtica (Lingüística)
dc.subject.other Corpus (Lingüística)
dc.title Finding dependency parsing limits over a large Spanish Corpus
dc.type info:eu-repo/semantics/conferenceObject
dc.relation.projectID info:eu-repo/grantAgreement/EC/FP7/248064
dc.relation.projectID info:eu-repo/grantAgreement/EC/FP7/238405
dc.rights.accessRights info:eu-repo/semantics/openAccess
dc.type.version info:eu-repo/semantics/publishedVersion

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