Metaphor: a key to extensible semantic analysis

Authors:
Jaime G. Carbonell
Affiliations:
Carnegie-Mellon University, Pittsburgh, PA
Venue:
ACL '80 Proceedings of the 18th annual meeting on Association for Computational Linguistics
Year:
1980

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Abstract

Interpreting metaphors is an integral and inescapable process in human understanding of natural language. This paper discusses a method of analyzing metaphors based on the existence of a small number of generalized metaphor mappings. Each generalized metaphor contains a recognition network, a basic mapping, additional transfer mappings, and an implicit intention component. It is argued that the method reduces metaphor interpretation from a reconstruction to a recognition task. Implications towards automating certain aspects of language learning are also discussed.