Visualizing deep-syntactic parser output

dc.contributor.authorSoler Company, Juanca
dc.contributor.authorBallesteros, Miguelca
dc.contributor.authorBohnet, Berndca
dc.contributor.authorMille, Simonca
dc.contributor.authorWanner, Leoca
dc.date.accessioned2016-12-05T08:36:11Z
dc.date.available2016-12-05T08:36:11Z
dc.date.issued2015ca
dc.descriptionComunicació presentada a la 2015 Conference of the North American Chapter of the Association for Computational Linguistics – Human Language Technologies (NAACL HLT 2015), celebrada del 31 de maig al 5 de juny 2015 a Denver (CO, EUA).ca
dc.description.abstract“Deep-syntactic” dependency structures bridge the gap between the surface-syntactic structures as produced by state-of-the-art dependency parsers and semantic logical forms in that they abstract away from surfacesyntactic idiosyncrasies, but still keep the linguistic structure of a sentence. They have thus a great potential for such downstream applications as machine translation and summarization. In this demo paper, we propose an online version of a deep-syntactic parser that outputs deep-syntactic structures from plain sentences and visualizes them using the Brat tool. Along with the deep syntactic structures, the user can also inspect the visual presentation of the surface-syntactic structures that serve as input to the deep-syntactic parser and that are produced by the joint tagger and syntactic transition-based parser ran in the pipeline before deep-syntactic parsing takes place.en
dc.description.sponsorshipThis work has been partially funded by the European Union’s Seventh Framework and Horizon 2020 Research and Innovation Programmes under the Grant Agreement numbers FP7-ICT-610411, FP7-SME- 606163, and H2020-RIA-645012.en
dc.format.mimetypeapplication/pdfca
dc.identifier.citationSoler-Company J, Ballesteros M, Bohnet B, Mille S, Wanner L. Visualizing deep-syntactic parser output. In: Mihalcea R, Chai J, Anoop S, editors. Proceedings of the 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies; 2015 May 31 - June 5; Denver, Colorado, United States. [Stroudsburg]: ACL; 2015. p. 56-60.ca
dc.identifier.urihttp://hdl.handle.net/10230/27691
dc.language.isoengca
dc.publisherACL (Association for Computational Linguistics)ca
dc.relation.ispartofMihalcea R, Chai J, Anoop S, editors. Proceedings of the 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies; 2015 May 31 - June 5; Denver, Colorado, United States. [Stroudsburg]: ACL; 2015. p. 56-60.
dc.relation.projectIDinfo:eu-repo/grantAgreement/EC/FP7/610411
dc.relation.projectIDinfo:eu-repo/grantAgreement/EC/FP7/606163
dc.relation.projectIDinfo:eu-repo/grantAgreement/EC/H2020/645012
dc.rights© ACL, Creative Commons Attribution 4.0 Licenseca
dc.rights.accessRightsinfo:eu-repo/semantics/openAccessca
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subject.otherTractament del llenguatge natural (Informàtica)ca
dc.subject.otherLingüística computacionalca
dc.titleVisualizing deep-syntactic parser outputca
dc.typeinfo:eu-repo/semantics/conferenceObjectca
dc.type.versioninfo:eu-repo/semantics/publishedVersionca

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