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dc.contributor.authorCuadros Oller, Montserrat
dc.contributor.authorPadró, Lluís
dc.contributor.authorRigau Claramunt, German
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament de Llenguatges i Sistemes Informàtics
dc.date.accessioned2012-06-08T11:19:12Z
dc.date.available2012-06-08T11:19:12Z
dc.date.created2012
dc.date.issued2012
dc.identifier.citationCuadros, M.; Padró, L.; Rigau, G. Highlighting relevant concepts from Topic Signatures. A: International Conference on Language Resources and Evaluation. "LREC2012". Istanbul: 2012.
dc.identifier.urihttp://hdl.handle.net/2117/15988
dc.description.abstractThis paper presents deepKnowNet, a new fully automatic method for building highly dense and accurate knowledge bases from existing semantic resources. Basically, the method applies a knowledge-based Word Sense Disambiguation algorithm to assign the most appropriate WordNet sense to large sets of topically related words acquired from the web, named TSWEB. This Word Sense Disambiguation algorithm is the personalized PageRank algorithm implemented in UKB. This new method improves by automatic means the current content of WordNet by creating large volumes of new and accurate semantic relations between synsets. KnowNet was our first attempt towards the acquisition of large volumes of semantic relations. However, KnowNet had some limitations that have been overcomed with deepKnowNet. deepKnowNet disambiguates the first hundred words of all Topic Signatures from the web (TSWEB). In this case, the method highlights the most relevant word senses of each Topic Signature and filter out the ones that are not so related to the topic. In fact, the knowledge it contains outperforms any other resource when is empirically evaluated in a common framework based on a similarity task annotated with human judgements
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
dc.subjectÀrees temàtiques de la UPC::Informàtica::Llenguatges de programació
dc.subject.lcshComputational linguistics
dc.subject.lcshSemantics --Data processing
dc.titleHighlighting relevant concepts from Topic Signatures
dc.typeConference report
dc.subject.lemacSemàntica computacional
dc.contributor.groupUniversitat Politècnica de Catalunya. GPLN - Grup de Processament del Llenguatge Natural
dc.rights.accessOpen Access
local.identifier.drac10507590
dc.description.versionPostprint (published version)
local.citation.authorCuadros, M.; Padró, L.; Rigau, G.
local.citation.contributorInternational Conference on Language Resources and Evaluation
local.citation.pubplaceIstanbul
local.citation.publicationNameLREC2012


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