Class-based word sense induction for dot-type nominals

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• dc.contributor.author Romeo, Lauren
• dc.contributor.author Martínez Alonso, Héctor
• dc.contributor.author Bel Rafecas, Núria
• dc.date.accessioned 2019-03-05T09:37:09Z
• dc.date.available 2019-03-05T09:37:09Z
• dc.date.issued 2013
• dc.description Comunicació presentada a: 6th International Conference on Generative Approaches to the Lexicon, celebrada a Pisa, Itàlia, del 24 al 25 de setembre del 2013.
• dc.description.abstract This paper describes an effort to capture the sense alternation of dot-type nominals using Word Sense Induction (WSI). We propose dot-type nominals generate more semantically consistent groupings when clustered into more than two clusters, accounting for literal, metonymic and underspecified senses. Using a class-based approach, we replace individual lemmas with a placeholder representing the entire dot type, which also compensates for data sparsity. Although the distributional evidence does not motivate an individual cluster for each sense, we discuss how our results empirically support theoretical proposals regarding dot types.
• dc.description.sponsorship This work was funded with the support of the SUR of the DEC of the Generalitat de Catalunya and the European Social Fund, by the European Commission’s 7th Framework Program under grant agreement 238405 (CLARA) and by SKATER TIN2012-38584-C06-05.
• dc.format.mimetype application/pdf
• dc.identifier.citation Romeo L, Martínez Alonso H, Bel N. Class-based word sense induction for dot-type nominals. In: Saurí R, Calzolari N, Huang C-R, Lenci A, Monachini M, Pustejovsky J, editors. Proceedings of the 6th International Conference on Generative Approaches to the Lexicon (GL2013); 2013 Sep 24-25; Pisa, Italy. Stroudsburg (USA): Association for Computational Linguistics (ACL); 2013. p. 76-84.
• dc.identifier.uri http://hdl.handle.net/10230/36738
• dc.language.iso eng
• dc.publisher ACL (Association for Computational Linguistics)
• dc.relation.ispartof In: Saurí R, Calzolari N, Huang C-R, Lenci A, Monachini M, Pustejovsky J, editors. Proceedings of the 6th International Conference on Generative Approaches to the Lexicon (GL2013); 2013 Sep 24-25; Pisa, Italy. Stroudsburg (USA): Association for Computational Linguistics (ACL); 2013. p. 76-84.
• dc.relation.projectID info:eu-repo/grantAgreement/ES/3PN/TIN2012-38584-C06-05
• dc.relation.projectID info:eu-repo/grantAgreement/EC/FP7/238405
• dc.rights © ACL, Creative Commons Attribution 3.0 License
• dc.rights.accessRights info:eu-repo/semantics/openAccess
• dc.rights.uri https://creativecommons.org/licenses/by-nc-sa/3.0/
• dc.subject.keyword Language Resources Automatic Acquisition
• dc.subject.keyword Machine Learning
• dc.subject.keyword Complex-type nominals
• dc.subject.keyword Generative Lexicon
• dc.title Class-based word sense induction for dot-type nominals
• dc.type info:eu-repo/semantics/conferenceObject
• dc.type.version info:eu-repo/semantics/publishedVersion