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dc.contributor.author Soler Company, Juan
dc.contributor.author Ballesteros, Miguel
dc.contributor.author Bohnet, Bernd
dc.contributor.author Mille, Simon
dc.contributor.author Wanner, Leo
dc.date.accessioned 2016-12-05T08:36:11Z
dc.date.available 2016-12-05T08:36:11Z
dc.date.issued 2015
dc.identifier.citation Soler-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.
dc.identifier.uri http://hdl.handle.net/10230/27691
dc.description Comunicació 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).
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.
dc.description.sponsorship This 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.
dc.format.mimetype application/pdf
dc.language.iso eng
dc.publisher ACL (Association for Computational Linguistics)
dc.relation.ispartof 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.
dc.rights © ACL, Creative Commons Attribution 4.0 License
dc.rights.uri http://creativecommons.org/licenses/by/4.0/
dc.subject.other Tractament del llenguatge natural (Informàtica)
dc.subject.other Lingüística computacional
dc.title Visualizing deep-syntactic parser output
dc.type info:eu-repo/semantics/conferenceObject
dc.relation.projectID info:eu-repo/grantAgreement/EC/FP7/610411
dc.relation.projectID info:eu-repo/grantAgreement/EC/FP7/606163
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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