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dc.contributor.authorCuadros Oller, Montserrat
dc.contributor.authorRigau Claramunt, German
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament de Llenguatges i Sistemes Informàtics
dc.date.accessioned2011-05-09T08:59:31Z
dc.date.available2011-05-09T08:59:31Z
dc.date.created2008
dc.date.issued2008
dc.identifier.citationCuadros, M.; Rigau, G. KnowNet: building a large net of knowledge from the web. A: International Conference on Computational Linguistics. "22nd International Conference on Computational Linguistics". Manchester: 2008, p. 1-8.
dc.identifier.urihttp://hdl.handle.net/2117/12503
dc.description.abstractThis paper presents a new fully automatic method for building highly dense and accurate knowledge bases from existing semantic resources. Basically, the method uses a wide-coverage and accurate knowledge-based Word Sense Disambiguation algorithm to assign the most appropriate senses to large sets of topically related words acquired from the web. KnowNet, the resulting knowledge-base which connects large sets of semantically related concepts is a major step towards the autonomous acquisition of knowledge from raw corpora. In fact, KnowNet is several times larger than any available knowledge resource encoding relations between synsets, and the knowledge KnowNet contains outperform any other resource when is empirically evaluated in a common framework.
dc.format.extent8 p.
dc.language.isoeng
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Spain
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subjectÀrees temàtiques de la UPC::Informàtica::Intel·ligència artificial::Llenguatge natural
dc.subject.lcshNatural language processing (Computer science) -- Research
dc.subject.lcshKnowNet
dc.titleKnowNet: building a large net of knowledge from the web
dc.typeConference report
dc.subject.lemacLlenguatge natural (Informàtica) -- Processament
dc.contributor.groupUniversitat Politècnica de Catalunya. GPLN - Grup de Processament del Llenguatge Natural
dc.description.peerreviewedPeer Reviewed
dc.rights.accessOpen Access
local.identifier.drac3239000
dc.description.versionPostprint (author's final draft)
local.citation.authorCuadros, M.; Rigau, G.
local.citation.contributorInternational Conference on Computational Linguistics
local.citation.pubplaceManchester
local.citation.publicationName22nd International Conference on Computational Linguistics
local.citation.startingPage1
local.citation.endingPage8


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Except where otherwise noted, content on this work is licensed under a Creative Commons license : Attribution-NonCommercial-NoDerivs 3.0 Spain