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Word sense ranking based on semantic similarity and graph entropy
dc.contributor.author | Sousa Lopes, João |
dc.contributor.author | Álvarez Napagao, Sergio |
dc.contributor.author | Vázquez Salceda, Javier |
dc.contributor.other | Universitat Politècnica de Catalunya. Departament de Llenguatges i Sistemes Informàtics |
dc.date.accessioned | 2011-12-19T14:41:49Z |
dc.date.available | 2011-12-19T14:41:49Z |
dc.date.created | 2009-06-15 |
dc.date.issued | 2009-06-15 |
dc.identifier.citation | Lopes, J.; Alvarez-Napagao, Sergio; Vazquez-Salceda, J. "Word sense ranking based on semantic similarity and graph entropy". 2009. |
dc.identifier.uri | http://hdl.handle.net/2117/14274 |
dc.description.abstract | In 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.extent | 12 p. |
dc.language.iso | eng |
dc.relation.ispartofseries | LSI-09-21-R |
dc.subject | Àrees temàtiques de la UPC::Informàtica::Intel·ligència artificial |
dc.subject.lcsh | WordNet synset semantic relations |
dc.subject.lcsh | Abductive reasoning |
dc.title | Word sense ranking based on semantic similarity and graph entropy |
dc.type | External research report |
dc.subject.lemac | Raonament abductiu |
dc.contributor.group | Universitat Politècnica de Catalunya. KEMLG - Grup d'Enginyeria del Coneixement i Aprenentatge Automàtic |
dc.relation.publisherversion | http://www.lsi.upc.edu/dept/techreps/llistat_detallat.php?id=1060 |
dc.rights.access | Open Access |
local.identifier.drac | 8792534 |
dc.description.version | Preprint |
local.citation.author | Lopes, J.; Alvarez-Napagao, Sergio; Vazquez-Salceda, J. |
local.citation.publicationName | Word sense ranking based on semantic similarity and graph entropy |
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