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Báo cáo khoa học: "Integrating Multiple Knowledge Sources to Disambiguate Word Sense: An Exemplar-Based Approach"

Chia sẻ: Nhung Nhung | Ngày: | Loại File: PDF | Số trang:8

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In this paper, we present a new approach for word sense disambiguation (WSD) using an exemplar-based learning algorithm. This approach integrates a diverse set of knowledge sources to disambiguate word sense, including part of speech of neighboring words, morphological form, the unordered set of surrounding words, local collocations, and verb-object syntactic relation. We tested our WSD program, named LEXAS, on both a common data set used in previous work, as well as on a large sense-tagged corpus that we separately constructed. ...

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Nội dung Text: Báo cáo khoa học: "Integrating Multiple Knowledge Sources to Disambiguate Word Sense: An Exemplar-Based Approach"

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