Paper: Metaphor Detection with Cross-Lingual Model Transfer

ACL ID P14-1024
Title Metaphor Detection with Cross-Lingual Model Transfer
Venue Annual Meeting of the Association of Computational Linguistics
Session Main Conference
Year 2014
Authors

We show that it is possible to reliably dis- criminate whether a syntactic construction is meant literally or metaphorically using lexical semantic features of the words that participate in the construction. Our model is constructed using English resources, and we obtain state-of-the-art performance relative to previous work in this language. Using a model transfer approach by piv- oting through a bilingual dictionary, we show our model can identify metaphoric expressions in other languages. We pro- vide results on three new test sets in Span- ish, Farsi, and Russian. The results sup- port the hypothesis that metaphors are conceptual, rather than lexical, in nature.