Computer Sciences Department; University of Wisconsin-Madison
SVM HeaderParse 0.2
AUTHOR ADDR
Madison, WI 53706
SVM HeaderParse 0.2
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. 1