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dc.contributor.authorSousa Lopes, João
dc.contributor.authorÁlvarez Napagao, Sergio
dc.contributor.authorVázquez Salceda, Javier
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament de Llenguatges i Sistemes Informàtics
dc.date.accessioned2011-12-19T14:41:49Z
dc.date.available2011-12-19T14:41:49Z
dc.date.created2009-06-15
dc.date.issued2009-06-15
dc.identifier.citationLopes, J.; Alvarez-Napagao, Sergio; Vazquez-Salceda, J. "Word sense ranking based on semantic similarity and graph entropy". 2009.
dc.identifier.urihttp://hdl.handle.net/2117/14274
dc.description.abstractIn this paper we propose a system for the recommendation of tagged pictures obtained from the Web. The system, driven by user feedback, executes an abductive reasoning (based on WordNet synset semantic relations) that is able to iteratively lead to new concepts which progressively represent the cognitive creative user state. Furthermore we design a selection mechanism to pick the most relevant abductive inferences by mixing a topological graph analysis together with a semantic similitude measure.
dc.format.extent12 p.
dc.language.isoeng
dc.relation.ispartofseriesLSI-09-21-R
dc.subjectÀrees temàtiques de la UPC::Informàtica::Intel·ligència artificial
dc.subject.lcshWordNet synset semantic relations
dc.subject.lcshAbductive reasoning
dc.titleWord sense ranking based on semantic similarity and graph entropy
dc.typeExternal research report
dc.subject.lemacRaonament abductiu
dc.contributor.groupUniversitat Politècnica de Catalunya. KEMLG - Grup d'Enginyeria del Coneixement i Aprenentatge Automàtic
dc.relation.publisherversionhttp://www.lsi.upc.edu/dept/techreps/llistat_detallat.php?id=1060
dc.rights.accessOpen Access
local.identifier.drac8792534
dc.description.versionPreprint
local.citation.authorLopes, J.; Alvarez-Napagao, Sergio; Vazquez-Salceda, J.
local.citation.publicationNameWord sense ranking based on semantic similarity and graph entropy


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