Extracting semantic hierarchies from a large on-line dictionary
ACL '85 Proceedings of the 23rd annual meeting on Association for Computational Linguistics
Noun classification from predicate-argument structures
ACL '90 Proceedings of the 28th annual meeting on Association for Computational Linguistics
Term aggregation: mining synonymous expressions using personal stylistic variations
COLING '04 Proceedings of the 20th international conference on Computational Linguistics
Generating phrasal and sentential paraphrases: A survey of data-driven methods
Computational Linguistics
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This paper describes a method of classifying semantically similar nouns. The approach is based on the "distributional hypothesis". Our approach is characterized by distinguishing among senses of the same word in order to resolve the "polysemy" issue. The classification result demonstrates that our approach is successful.