Automatic acquisition of grammatical types for nouns

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To access the full text documents, please follow this link: http://hdl.handle.net/10230/36673

dc.contributor.author	Bel Rafecas, Núria
dc.contributor.author	Espeja, Sergio
dc.contributor.author	Marimon, Montserrat
dc.date	2007
dc.identifier.citation	Bel N, Espeja S, Marimon M. Automatic acquisition of grammatical types for nouns. In: Sidner C, Schultz T, Stone M, Zhai C, editors. Human Language Technologies 2007: The Conference of the North American Chapter of the Association for Computational Linguistics Companion Volume Short Papers. 2007 Apr 22-27; New York, USA. Association for Computational Linguistics; 2007. p. 5-8.
dc.identifier.uri	http://hdl.handle.net/10230/36673
dc.format	application/pdf
dc.language.iso	eng
dc.publisher	ACL (Association for Computational Linguistics)
dc.relation	In: Sidner C, Schultz T, Stone M, Zhai C, editors. Human Language Technologies 2007: The Conference of the North American Chapter of the Association for Computational Linguistics Companion Volume Short Papers. 2007 Apr 22-27; New York, USA. Association for Computational Linguistics; 2007. p. 5-8.
dc.relation	info:eu-repo/grantAgreement/ES/2PN/HUM2004-05111-C02-01
dc.rights	© ACL, Creative Commons Attribution 4.0 License
dc.rights	https://creativecommons.org/licenses/by/4.0/
dc.rights	info:eu-repo/semantics/openAccess
dc.title	Automatic acquisition of grammatical types for nouns
dc.type	info:eu-repo/semantics/conferenceObject
dc.type	info:eu-repo/semantics/publishedVersion
dc.description.abstract	Comunicació presentada a: Human Language Technology Conference of the North American Chapter of the Association of Computational Linguistics 2007, celebrada a New York, United States of America, del 22 al 27 d'abril de 2007.
dc.description.abstract	The work we present here is concerned with the acquisition of deep grammatical information for nouns in Spanish. The aim is to build a learner that can handle noise, but, more interestingly, that is able to overcome the problem of sparse data, especially important in the case of nouns. We have based our work on two main points. Firstly, we have used distributional evidences as features. Secondly, we made the learner deal with all occurrences of a word as a single complex unit. The obtained results show that grammatical features of nouns is a level of generalization that can be successfully approached with a Decision Tree learner.
dc.description.abstract	This research was supported by the Spanish Ministerio de Educación y Ciencia: project AAILE, HUM2004-05111-C02-01/FILO, Ramón y Cajal, Juan de la Cierva Programs and PTA-CTE/1370/2003 with Fondo Social Europeo.

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