Towards definition extraction using conditional random fields

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  • dc.contributor.author Espinosa-Anke, Luisca
  • dc.date.accessioned 2016-12-22T17:04:41Z
  • dc.date.available 2016-12-22T17:04:41Z
  • dc.date.issued 2013ca
  • dc.description Paper presented at International Conference Recent Advances in Natural Language Processing RANLP 2013;2013 Sept 9-11; Hissar, Bulgaria.en
  • dc.description.abstract Definition Extraction (DE) and terminology are contributing to help structuring the overwhelming amount of information available. This article presents KESSI (Knowledge Extraction System for Scientific/nInterviews), a multilingual domainindependent machine-learning approach to the extraction of definitional knowledge, specifically oriented to scientific interviews. The DE task was approached as both a classification and a sequential labelling task. In the latter, figures of Precision, Recall and F-Measure were similar to human annotation, and suggest that combining structural, statistical and linguistic/nfeatures with Conditional Random Fields can contribute significantly to the development of DE systems.en
  • dc.format.mimetype application/pdfca
  • dc.identifier.citation Espinosa L. Towards definition extraction using conditional random fields. In: Mitkov R, Angelova G, Boncheva K, editors. Proceedings of the International Conference Recent Advances in Natural Language Processing RANLP 2013;2013 Sept 9-11; Hissar, Bulgaria. Bulgaria: INCOMA, 2013. p.63-70ca
  • dc.identifier.issn 1313-8502ca
  • dc.identifier.uri http://hdl.handle.net/10230/27832
  • dc.language.iso engca
  • dc.publisher INCOMAca
  • dc.relation.ispartof Mitkov R, Angelova G, Boncheva K, editors. Proceedings of the International Conference Recent Advances in Natural Language Processing RANLP 2013;2013 Sept 9-11; Hissar, Bulgaria. Bulgaria: INCOMA, 2013. p.63-70
  • dc.rights This document is under a Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Licenseca
  • dc.rights.accessRights info:eu-repo/semantics/openAccessca
  • dc.rights.uri http://creativecommons.org/licenses/by-nc-sa/3.0/
  • dc.title Towards definition extraction using conditional random fieldsca
  • dc.type info:eu-repo/semantics/conferenceObjectca
  • dc.type.version info:eu-repo/semantics/publishedVersionca

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Congressos (Departament de Tecnologies de la Informació i les Comunicacions)