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Corpus Based Methods for Learning Models of Metaphor in Modern Greek
[chapter]
2015
Lecture Notes in Computer Science
In this paper we propose a method for detecting metaphorical usage of content terms based on the hypothesis that metaphors can be detected by being characteristic of a different domain than the one they appear in. We formulate the problem as one of extracting knowledge from text classification models, where the latter have been created using standard text classification techniques without any knowledge of metaphor. We then extract from such models a measure of how characteristic of a domain a
doi:10.1007/978-3-319-25789-1_21
fatcat:zbcolqas2jdrvlboyxw54vgd2a