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dc.contributor.advisorWagner, Paul J.
dc.contributor.authorSeaholm, Michael
dc.descriptionColor poster with text and charts.en
dc.description.abstractWord sense disambiguation is a task in which the correct meaning of a given word is determined based upon contextual information. Word sense disambiguation is used in such computer applications as spam identification, text filtering, and language translation. A problem in computer-based approaches to word sense disambiguation is that an information bottleneck can occur when referencing word senses on a large scale. Producing a system that can better the present rates of successful disambiguation would be of considerable benefit in computer applications that deal with parsing, analyzing and interpreting natural language. The primary objectives for this research project were to investigate current computational methods of resolving ambiguity in language, and then to hybridize a select few of these methods to achieve a greater overall rate of successful word sense disambiguation.en
dc.description.sponsorshipUniversity of Wisconsin--Eau Claire Office of Research and Sponsored Programsen
dc.relation.ispartofseriesUSGZE AS589en
dc.subjectProgramming languages (Electronic computers)--Semanticsen
dc.subjectProgramming languages (Electronic computers)--Syntaxen
dc.subjectApplication software--Development--Computer programsen
dc.titleResolving Word Sense Ambiguity in Natural Language Processingen

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  • Student Research Day
    Posters of collaborative student/faculty research presented at Student Research Day

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