Difference between revisions of "Models of metaphor in NLP"
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== Introduction == | == Introduction == | ||
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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". | ||
=== Metaphor Recognition === | === Metaphor Recognition === | ||
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| + | ==== Met* System (Fass, 1991) ==== | ||
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| + | ==== Goatly (1997) ==== | ||
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| + | ==== Peters & Peters (2000) ==== | ||
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| + | |||
| + | ==== CorMet System (Mason, 2004) ==== | ||
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| + | ==== TroFi System(Birke & Sarkar, 2006) ==== | ||
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| + | ==== Gedigan et al. (2006) ==== | ||
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| + | ==== Krishnakumaran & Zhu (2007) ==== | ||
=== Metaphor Interpretation === | === Metaphor Interpretation === | ||
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== Related papers == | == Related papers == | ||
Revision as of 14:11, 7 October 2012
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.
