Weakly supervised definition extraction

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• dc.contributor.author Espinosa-Anke, Luisca
• dc.contributor.author Ronzano, Francescoca
• dc.contributor.author Saggion, Horacioca
• dc.date.accessioned 2016-05-19T16:29:03Z
• dc.date.available 2016-05-19T16:29:03Z
• dc.date.issued 2015ca
• dc.description Paper presented at International Conference on Recent Advances in Natural Language Processing 2015 (RANLP 2015)en
• dc.description.abstract Definition Extraction (DE) is the task to extract textual definitions from naturally occurring text. It is gaining popularity as a prior step for constructing taxonomies, ontologies, automatic glossaries or dictionary entries. These fields of application motivate greater interest in well-formed encyclopedic text from which to extract definitions, and therefore DE for academic or lay discourse has received less attention. In this paper we propose a weakly supervised bootstrapping approach for identifying textual definitions with higher linguistic variability than the classic encyclopedic genus-et-differentia definition, and take the domain of Natural Language Processing as a use case. We also introduce a novel set of features for DE and explore their relevance. Evaluation is carried out on two datasets that reflect opposed ways of expressing definitional knowledge.en
• dc.description.sponsorship This work is partially funded by the SKATER project, TIN2012-38584-C06-03, Ministerio de Econom´ıa y Competitividad, Secretar´ıa de Estado de Investigaci´on, Desarrollo e Innovaci´on, Espa˜na; and Dr. Inventor (FP7-ICT-2013.8.1 611383).en
• dc.format.mimetype application/pdfca
• dc.identifier.citation Espinosa-Anke L, Ronzano F, Saggion H. Weakly supervised definition extraction. In: Angelova G, Bontcheva K, Mitkov R, editors. International Conference on Recent Advances in Natural Language Processing 2015 (RANLP 2015);2015 Sept 7-9;Hissar, Bulgaria. Stroudsburg: ACL (Association for Computational Linguistics); 2015. p.176-85.ca
• dc.identifier.uri http://hdl.handle.net/10230/26306
• dc.language.iso engca
• dc.publisher ACL (Association for Computational Linguistics)ca
• dc.relation.ispartof Angelova G, Bontcheva K, Mitkov R, editors. International Conference on Recent Advances in Natural Language Processing 2015 (RANLP 2015);2015 Sept 7-9;Hissar, Bulgaria. Stroudsburg: ACL (Association for Computational Linguistics); 2015. p.176-85.
• dc.relation.projectID info:eu-repo/grantAgreement/EC/FP7/611383ca
• dc.relation.projectID info:eu-repo/grantAgreement/ES/3PN/TIN2012-38584-C06-03
• dc.rights © ACL, Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Licenseca
• dc.rights.accessRights info:eu-repo/semantics/openAccessca
• dc.rights.uri https://creativecommons.org/licenses/by-nc-sa/3.0/
• dc.title Weakly supervised definition extractionca
• dc.type info:eu-repo/semantics/conferenceObjectca
• dc.type.version info:eu-repo/semantics/publishedVersionca