Word Sense Disambiguation with THESSOM

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dc.contributor University of Helsinki, Department of Modern Languages 2010-2017 en
dc.contributor.author Linden, Krister
dc.date.accessioned 2012-06-04T07:23:42Z
dc.date.available 2012-06-04T07:23:42Z
dc.date.issued 2003-09
dc.identifier.citation Linden , K 2003 , Word Sense Disambiguation with THESSOM . in Proceedings of WSOM'03 - Intelligent Systems and Innovational Computing . WSOM'03 - Intelligent Systems and Innovational Computing , Kitakyushu , Japan , 01/01/1800 . en
dc.identifier.citation conference en
dc.identifier.other PURE: 10036046
dc.identifier.other PURE UUID: e9440c26-4250-4cbf-b7bc-78d37b259a22
dc.identifier.other ORCID: /0000-0003-2337-303X/work/29934387
dc.identifier.uri http://hdl.handle.net/10138/33869
dc.description.abstract Word sense disambiguation automatically determines the appropriate senses of a word in context. We have previously shown that self-organized document maps have properties similar to a large-scale semantic structure that is useful for word sense disambiguation. In this article we formalize THESSOM, which is an algorithm for word sense disambiguation using selforganized document maps created with WEBSOM. The algorithm is tested on the SENSEVAL-2 benchmark data and shown to be on a par with the top three contenders of the SENSEVAL-2 competition. We also show that the performance of the algorithm improves when using more advanced linguistic features for creating the WEBSOM maps. en
dc.language.iso eng
dc.relation.ispartof Proceedings of WSOM'03 - Intelligent Systems and Innovational Computing
dc.rights en
dc.title Word Sense Disambiguation with THESSOM en
dc.type Conference contribution
dc.type.uri info:eu-repo/semantics/other
dc.contributor.pbl
dc.contributor.pbl

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