Word Sense Disambiguation by Machine Learning Approac : A Short Survey

• Autorzy: Tatar D.
• Języki publikacji: EN

Abstrakty

EN

There is a renewed interest in word sense disambiguation (WSD) as it contributes to various applications in natural language processing. In this paper we survey vector-based methods for WSD in machine learning. All the methods are corpus-based and use definition of context in the sense introduced by S. Marcus [11].

Słowa kluczowe

EN

word sense disambiguation; machine learning; context

• Wydawca: IOS Press
• Czasopismo: Fundamenta Informaticae
• Rocznik: 2005
• Tom: Vol. 64, nr 1-4
• Strony: 433--442
• Opis fizyczny: Bibliogr. 19 poz.

Twórcy

autor

Tatar D.

• Faculty of Mathematics and Computer Science, University Babes-Bolyai, Str. Kogalniceanu nr 1, Cluj-Napoca, Romania,

Bibliografia

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