Using unmarked contexts in nominal lexical semantic classification

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To access the full text documents, please follow this link: http://hdl.handle.net/10230/32683

dc.contributor.author	Romeo, Lauren Michele
dc.contributor.author	Mendes, Sara
dc.contributor.author	Bel Rafecas, Núria
dc.date	2014
dc.identifier.citation	Romeo L, Mendes S, Bel N. Using unmarked contexts in nominal lexical semantic classification. In: Proceedings of COLING 2014, the 25th International Conference on Computational Linguistics: Technical Papers; 2014 Aug 23-29; Dublind, Ireland. Dublin: Association for Computational Linguistics (ACL); 2014. p.508-19.
dc.identifier.uri	http://hdl.handle.net/10230/32683
dc.format	application/pdf
dc.language.iso	eng
dc.publisher	Association for Computational Linguistics (ACL)
dc.relation	Proceedings of COLING 2014, the 25th International Conference on Computational Linguistics: Technical Papers; 2014 Aug 23-29; Dublind, Ireland. Dublin: Association for Computational Linguistics (ACL); 2014. p.508-19.
dc.relation	info:eu-repo/grantAgreement/ES/3PN/TIN2012-385
dc.rights	info:eu-repo/semantics/openAccess
dc.rights	This work is licenced under a Creative Commons Attribution 4.0 International License. Page numbers and proceedings footer are added by the organizers. License details: http://creativecommons.org/licenses/by/4.0/
dc.rights	http://creativecommons.org/licenses/by/4.0/
dc.subject	Humanidades digitales
dc.subject	Catálogos
dc.subject	Centros de competencias
dc.subject	Datos enlazados
dc.subject	Servicios web
dc.subject	Clarin IULA-UPF
dc.subject	Digital humanities
dc.subject	Catalogues
dc.subject	Competence centres
dc.subject	Linked data
dc.subject	Web services
dc.title	Using unmarked contexts in nominal lexical semantic classification
dc.type	info:eu-repo/semantics/conferenceObject
dc.type	info:eu-repo/semantics/publishedVersion
dc.description.abstract	Comunicació presentada a: COLING 2014, the 25th International Conference on Computational Linguistics, celebrat a Dublin (Irlanda), del 23 al 29 d'agost de 2014.
dc.description.abstract	The work presented here addresses the use of unmarked contexts in pattern-based nominal lexical semantic classification. We define unmarked contexts to be the counterposition of the class-indicatory, or marked, contexts. Its aim is to evaluate how unmarked contexts can be used to improve the accuracy and reliability of lexical semantic classifiers. Results demonstrate that the combined use of both types of distributional information (marked and unmarked) is crucial to improve classification. This result was replicated using two different corpora, demonstrating the robustness of the method proposed.
dc.description.abstract	This work was funded with the support of the SUR of the DEC of the Generalitat de Catalunya and the European Social Fund, by SKATER TIN2012-38584-C06-05, and by Fundação para a Ciência e a Tecnologia (FCT) post-doctoral fellowship SFRH/BPD/79900/2011.

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