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Annotating Words Using WordNet Semantic Glosses

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dc.contributor.author Duch, Włodzisław
dc.contributor.author Szymański, Julian
dc.date.accessioned 2012-12-14T08:53:04Z
dc.date.available 2012-12-14T08:53:04Z
dc.date.issued 2012
dc.identifier.citation Neural Information Processing : 19th International Conference, ICONIP 2012, Doha, Qatar, November 12-15, 2012, Proceedings, Part IV, pp. 180-187
dc.identifier.isbn 978-3-642-34477-0
dc.identifier.uri http://repozytorium.umk.pl/handle/item/219
dc.description.abstract An approach to the word sense disambiguation (WSD) relaying on the WordNet synsets is proposed. The method uses semantically tagged glosses to perform a process similar to the spreading activation in semantic network, creating ranking of the most probable meanings for word annotation. Preliminary evaluation shows quite promising results. Comparison with the state-of-theart WSD methods indicates that the use of WordNet relations and semantically tagged glosses should enhance accuracy of word disambiguation methods.
dc.language.iso eng
dc.publisher Springer
dc.relation.ispartofseries Lecture Notes in Computer Science;7666
dc.rights info:eu-repo/semantics/openAccess
dc.subject Word Sense Disambiguation
dc.subject WSD
dc.subject WordNet
dc.subject Wikipedia
dc.subject NLP
dc.title Annotating Words Using WordNet Semantic Glosses
dc.type info:eu-repo/semantics/article


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