Word Sense Disambiguation for Information Retrieval

Ozlem Uzuner, Boris Katz, and Deniz Yuret, MIT Artificial Intelligence Laboratory

Despite their increasing importance as data retrieval tools, most Information Retrieval (IR) systems are deficient in precision and recall. Lack of disambiguation power is one reason for the poor performance of these systems. Correctly disambiguating and expanding a query with intended synonyms before retrieval may improve the performance. We use the local context of a word to identify its sense. In our case, the local context of a word is the ordered list of words from the closest content word on each side of the target word up to the target word which is expressed as a placeholder.

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