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dc.contributor.author Espinosa-Anke, Luis
dc.contributor.author Saggion, Horacio
dc.contributor.author Delli Bovi, Claudio
dc.date.accessioned 2016-12-22T17:04:45Z
dc.date.available 2016-12-22T17:04:45Z
dc.date.issued 2015
dc.identifier.citation Espinosa-Anke L, Saggion H, Delli Bovi C. Definition extraction using sense-based embeddings. In: Gupta P, Banchs RE, Rosso P, editors. International Workshop on Embeddings and Semantics (IWES'15); 2015 Sept 15; Alicante, Spain. [Place unknown]: [CEUR]; 2015. [6 p.].
dc.identifier.uri http://hdl.handle.net/10230/27833
dc.description IWES: International Workshop on Embeddings and Semantics held in conjunction with the SEPLN 2015 Spanish Society for Natural Language Processing 15 September 2015, Alicante.
dc.description.abstract De nition Extraction is the task to identify snippets of free text in which/na term is de ned. While lexicographic studies have proposed di erent de nition typologies and categories, most NLP tasks aimed at revealing word or concept meanings have traditionally dealt with lexicographic (encyclopedic) de nitions, for example, as a prior step to ontology learning or automatic glossary construction. In this paper we describe and evaluate a system for De nition Extraction trained with features/nderived from two sources: Entity Linking as provided by Babelfy, and semantic similarity scores derived from sense-based embeddings. We show that these features have a positive impact in this task, and report state-of-the-art results over a manually validated benchmarking dataset.
dc.format.mimetype application/pdf
dc.language.iso eng
dc.publisher CEUR
dc.relation.ispartof Gupta P, Banchs RE, Rosso P, editors. International Workshop on Embeddings and Semantics (IWES'15); 2015 Sept 15; Alicante, Spain. [Place unknown]: [CEUR]; 2015. [6 p.].
dc.rights © IWES
dc.title Definition extraction using sense-based embeddings
dc.type info:eu-repo/semantics/conferenceObject
dc.subject.keyword Embeddings
dc.subject.keyword Entity linking
dc.subject.keyword Definition extraction
dc.subject.keyword Information extraction
dc.rights.accessRights info:eu-repo/semantics/openAccess
dc.type.version info:eu-repo/semantics/publishedVersion

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