Difference between revisions of "Models of metaphor in NLP"
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This is a review paper of modeling metaphors in NLP. The author devised it into two main tasks: "metaphor recognition" and "metaphor interpretation". | This is a review paper of modeling metaphors in NLP. The author devised it into two main tasks: "metaphor recognition" and "metaphor interpretation". | ||
| − | + | == Metaphor Recognition == | |
| − | + | === Met* System (Fass, 1991) === | |
| − | + | === Goatly (1997) === | |
| − | + | === Peters & Peters (2000) === | |
| − | + | === CorMet System (Mason, 2004) === | |
| − | + | === TroFi System(Birke & Sarkar, 2006) === | |
| − | + | === Gedigan et al. (2006) === | |
| − | + | === Krishnakumaran & Zhu (2007) === | |
| − | + | == Metaphor Interpretation == | |
== Related papers == | == Related papers == | ||
Revision as of 14:15, 7 October 2012
Contents
Citation
E. Shutova. 2010. Models of Metaphor in NLP. In Proceedings of ACL 2010, Uppsala, Sweden.
Online version
Introduction
This is a review paper of modeling metaphors in NLP. The author devised it into two main tasks: "metaphor recognition" and "metaphor interpretation".
Metaphor Recognition
Met* System (Fass, 1991)
Goatly (1997)
Peters & Peters (2000)
CorMet System (Mason, 2004)
TroFi System(Birke & Sarkar, 2006)
Gedigan et al. (2006)
Krishnakumaran & Zhu (2007)
Metaphor Interpretation
Related papers
The widely cited Pang et al EMNLP 2002 paper was influenced by this paper - but considers supervised learning techniques. The choice of movie reviews as the domain was suggested by the (relatively) poor performance of Turney's method on movies.
An interesting follow-up paper is Turney and Littman, TOIS 2003 which focuses on evaluation of the technique of using PMI for predicting the semantic orientation of words.
