Difference between revisions of "Models of metaphor in NLP"
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=== Shutova (2010) === | === Shutova (2010) === | ||
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| + | == Metaphor Resources == | ||
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| + | == Metaphor Annotation in Corpora == | ||
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| + | === Metaphor & Polysemy === | ||
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| + | === Metaphor Identification === | ||
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| + | ==== Pragglejaz Procedure ==== | ||
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| + | ==== Source - Target Domain Vocabulary ==== | ||
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| + | === Annotating Source and target Domains === | ||
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== Related papers == | == Related papers == | ||
Revision as of 14:22, 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
MIDAS System (Martin, 1990)
KARMA System (Narayanan, 1997), ATT-Meta (Barnden and Lee, 2002)
Veale and Hao (2008)
Shutova (2010)
Metaphor Resources
Metaphor Annotation in Corpora
Metaphor & Polysemy
Metaphor Identification
Pragglejaz Procedure
Source - Target Domain Vocabulary
Annotating Source and target Domains
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.
