Automatic Retrieval and Clustering of Similar Words

Automatic Retrieval and Clustering of Similar Words (1998)

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by Dekang Lin

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528 - 14 self

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@MISC{Lin98automaticretrieval,
    author = {Dekang Lin},
    title = {Automatic Retrieval and Clustering of Similar Words},
    year = {1998}
}

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Abstract

greatest challenges in natural language learning. We first define a word similarity measure based on the distributional pattern of words. The similarity measure allows us to construct a thesaurus using a parsed corpus. We then present a new evaluation methodology for the automatically constructed the- saurus. The evaluation results show that the the- saurus is significantly closer to WordNet than Roget Thesaurus is.

Citations

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