Hunting elusive metaphors using lexical resources

Authors:
Saisuresh Krishnakumaran;Xiaojin Zhu
Affiliations:
University of Wisconsin-Madison, Madison, WI;University of Wisconsin-Madison, Madison, WI
Venue:
FigLanguages '07 Proceedings of the Workshop on Computational Approaches to Figurative Language
Year:
2007

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Abstract

In this paper we propose algorithms to automatically classify sentences into metaphoric or normal usages. Our algorithms only need the WordNet and bigram counts, and does not require training. We present empirical results on a test set derived from the Master Metaphor List. We also discuss issues that make classification of metaphors a tough problem in general.