Transition-based spinal parsing

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• dc.contributor.author Ballesteros, Miguelca
• dc.contributor.author Carreras, Xavierca
• dc.date.accessioned 2016-12-19T08:10:08Z
• dc.date.available 2016-12-19T08:10:08Z
• dc.date.issued 2015ca
• dc.description Comunicació presentada a la 19th Conference on Computational Language Learning, celebrada els dies 30 i 31 de juliol 2015 a Beijing (China) i organitzada per l'ACL Special Interest Group on Natural Language Learning.ca
• dc.description.abstract We present a transition-based arc-eager model to parse spinal trees, a dependencybased representation that includes phrasestructure information in the form of constituent spines assigned to tokens. As a main advantage, the arc-eager model can use a rich set of features combining dependency and constituent information, while parsing in linear time. We describe a set of conditions for the arc-eager system to produce valid spinal structures. In experiments using beam search we show that the model obtains a good trade-off between speed and accuracy, and yields state of the art performance for both dependency and constituent parsing measures.en
• dc.description.sponsorship Miguel Ballesteros is supported by the European Commission under the contract numbers FP7-ICT-610411 (project MULTISENSOR) and H2020-RIA-645012 (project KRISTINA).en
• dc.format.mimetype application/pdfca
• dc.identifier.citation Ballesteros M, Carreras X. Transition-based spinal parsing. In: Proceedings of the 19th Conference on Computational Language Learning (CoNLL 2015). 2015 July 30-31; Beijing, China. [Stroudsburg]: ACL, 2015. p.289-99.ca
• dc.identifier.uri http://hdl.handle.net/10230/27787
• dc.language.iso engca
• dc.publisher ACL (Association for Computational Linguistics)ca
• dc.relation.ispartof Proceedings of the 19th Conference on Computational Language Learning (CoNLL 2015). 2015 July 30-31; Beijing, China. [Stroudsburg]: ACL, 2015. p.289-99.
• dc.relation.projectID info:eu-repo/grantAgreement/EC/H2020/645012ca
• dc.relation.projectID info:eu-repo/grantAgreement/EC/FP7/610411
• dc.rights © ACL, Creative Commons Attribution-NonCommercial-ShareAlike 3.0 International Licenseca
• dc.rights.accessRights info:eu-repo/semantics/openAccessca
• dc.rights.uri http://creativecommons.org/licenses/by-nc-sa/3.0/
• dc.subject.other Tractament del llenguatge natural (Informàtica)ca
• dc.subject.other Lingüística computacionalca
• dc.title Transition-based spinal parsingca
• dc.type info:eu-repo/semantics/conferenceObjectca
• dc.type.version info:eu-repo/semantics/publishedVersionca