@gromgull

Automatic retrieval and clustering of similar words

. Proceedings of the 17th international conference on Computational linguistics, page 768--774. Morristown, NJ, USA, Association for Computational Linguistics, (1998)

Abstract

Bootstrapping semantics from text is one of the 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 thesaurus. The evaluation results show that the thesaurus is significantly closer to WordNet than Roget Thesaurus is.

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Automatic retrieval and clustering of similar words

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lin1998automatic
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