A computational model of metaphor interpretation
A computational model of metaphor interpretation
A model of textual affect sensing using real-world knowledge
Proceedings of the 8th international conference on Intelligent user interfaces
CorMet: a computational, corpus-based conventional metaphor extraction system
Computational Linguistics
Metaphor identification using verb and noun clustering
COLING '10 Proceedings of the 23rd International Conference on Computational Linguistics
Creative language retrieval: a robust hybrid of information retrieval and linguistic creativity
HLT '11 Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies - Volume 1
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Metaphors pervade our language because they are elastic enough to allow a speaker to express an affective viewpoint on a topic without committing to a specific meaning. This balance of expressiveness and indeterminism means that metaphors are just as useful for eliciting information as they are for conveying information. We explore here, via a demonstration of a system for metaphor interpretation and generation called Metaphor Magnet, the practical uses of metaphor as a basis for formulating affective information queries. We also consider the kinds of deep and shallow stereotypical knowledge that are needed for such a system, and demonstrate how they can be acquired from corpora and the web.