1998 AutomaticRetrAndClustOfSimWords

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Subject Headings: Word Clustering Task

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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.

1 Introduction

  • The meaning of an unknown word can often be inferred from its context. …

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 AuthorvolumeDate ValuetitletypejournaltitleUrldoinoteyear
1998 AutomaticRetrAndClustOfSimWordsDekang LinAutomatic Retrieval and Clustering of Similar Wordshttp://acl.ldc.upenn.edu/P/P98/P98-2127.pdf