A Proposal for word sense disambiguation using conceptual distance

dc.contributor.author	Agirre, Eneko
dc.contributor.author	Rigau Claramunt, German
dc.contributor.other	Universitat Politècnica de Catalunya. Departament de Ciències de la Computació
dc.date.accessioned	2016-02-05T10:47:39Z
dc.date.available	2016-02-05T10:47:39Z
dc.date.issued	1996-02-01
dc.identifier.uri	http://hdl.handle.net/2117/82606
dc.description.abstract	This paper presents a method for the resolution of lexical ambiguity and its automatic evaluation over the Brown Corpus. The method relies on the use of the wide-coverage noun taxonomy of WordNet and the notion of conceptual distance among concepts, captured by a Conceptual Density formula developed for this purpose. This fully automatic method requires no hand coding of lexical entries, hand tagging of text nor any kind of training process. The results of the experiment have been automatically evaluated against SemCor, the sense-tagged version of the Brown Corpus.
dc.format.extent	7 p.
dc.language.iso	eng
dc.relation.ispartofseries	LSI-96-7-R
dc.subject	Àrees temàtiques de la UPC::Informàtica::Intel·ligència artificial
dc.subject.other	Word sense disambiguation
dc.subject.other	Conceptual distance
dc.subject.other	WordNet
dc.subject.other	SemCor
dc.title	A Proposal for word sense disambiguation using conceptual distance
dc.type	External research report
dc.rights.access	Open Access
local.identifier.drac	1847819
dc.description.version	Postprint (published version)
local.personalitzacitacio	true

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