Word Sense Disambiguation | Zendy

Adam Kilgarriff | Zendy; Eneko Agirre | Zendy; Philip Edmonds | Zendy

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Word Sense Disambiguation

Author(s) -

Adam Kilgarriff,

Eneko Agirre,

Philip Edmonds

Publication year - 2006

Publication title -

kluwer academic publishers ebooks

Language(s) - English

Resource type - Book series

DOI - 10.1007/1-4020-4809-2

Subject(s) - word sense disambiguation , semeval , word (group theory) , computer science , linguistics , natural language processing , artificial intelligence , philosophy , engineering , systems engineering , task (project management)

Word sense disambiguation (WSD) is the task of selecting the appropriate senses of a word in a given context. It is essence of communication in a natural language. It is motivated by its use in many crucial applications such as Information retrieval, Information extraction, Machine Translation, Partof-Speech tagging, etc. Various issues like scalability, ambiguity, diversity (of languages) and evaluation pose challenges to WSD solutions. The aim of this project is to develop a WSD technique which can handle all these issues with better accuracy and performance. This report presents our preliminary work towards solving the problem.

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