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Concept-based Word Sense Disambiguation for Information Retrieval System

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dc.contributor.author Kyae, K
dc.contributor.author Aung, Win Thandar
dc.date.accessioned 2019-07-12T05:50:37Z
dc.date.available 2019-07-12T05:50:37Z
dc.date.issued 2013-02-26
dc.identifier.uri http://onlineresource.ucsy.edu.mm/handle/123456789/870
dc.description.abstract Word sense disambiguation (WSD) is an important technique for many NLP applications such as machine translation, content analysis and information retrieval. In the information retrieval (IR) system, ambiguous words are damaging effect on the precision of this system. In this situation, WSD process is useful for automatically identifying the correct meaning of an ambiguous word. Therefore, this system proposes the optimal concept-based word sense disambiguation algorithm to increase the precision of the IR system about technology domain. This system provides additional semantics as conceptually related words with the help of glosses to each keyword in the documents by disambiguating their meanings. This system uses the WordNet as the lexical resource that encodes concepts of each term. In this system, various senses that are provided by concept-based WSD algorithm have been used as semantics for indexing the documents to improve performance of IR system. This system is implemented by using C# programming language. en_US
dc.language.iso en en_US
dc.publisher Eleventh International Conference On Computer Applications (ICCA 2013) en_US
dc.subject Word Sense Disambiguation (WSD) en_US
dc.subject Information Retrieval (IR) en_US
dc.subject WordNet en_US
dc.title Concept-based Word Sense Disambiguation for Information Retrieval System en_US
dc.type Article en_US


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