Automatic identification of non-compositional phrases

Authors:
Dekang Lin
Affiliations:
University of Manitoba, Winnipeg, Manitoba, Canada
Venue:
ACL '99 Proceedings of the 37th annual meeting of the Association for Computational Linguistics on Computational Linguistics
Year:
1999

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Abstract

Non-compositional expressions present a special challenge to NLP applications. We present a method for automatic identification of non-compositional expressions using their statistical properties in a text corpus. Our method is based on the hypothesis that when a phrase is non-composition, its mutual information differs significantly from the mutual informations of phrases obtained by substituting one of the word in the phrase with a similar word.