Abstract
Using metaphor-annotated material that is sufficiently representative of the topical composition of a similar-length document in a large background corpus, we show that words expressing a discourse-wide topic of discussion are less likely to be metaphorical than other words in a document. Our results suggest that to harvest metaphors more effectively, one is advised to consider words that do not represent a discourse topic.
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CITATION STYLE
Klebanov, B. B., Beigman, E., & Diermeier, D. (2009). Discourse Topics and Metaphors. In NAACL HLT 2009 - Computational Approaches to Linguistic Creativity, Proceedings of the Workshop (pp. 1–8). Association for Computational Linguistics (ACL). https://doi.org/10.3115/1642011.1642012
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