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- W2011019567 abstract "Distinguishing between literal and metaphorical language is a major challenge facing natural language processing. Heuristically, metaphors can be divided into three general types in which type III metaphors are those involving an adjective-noun relationship (e.g. “dark humor”). This paper describes our approach for automatic identification of type III metaphors. We propose a new algorithm, the Concrete-Category Overlap (CCO) algorithm, that distinguishes between literal and metaphorical use of adjective-noun relationships and evaluate it on two data sets of adjective-noun phrases. Our results point to the superiority of the CCO algorithm to past and contemporary approaches in determining the presence and conceptual significance of metaphors, and provide a better understanding of the conditions under which each algorithm should be applied." @default.
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- W2011019567 date "2013-04-01" @default.
- W2011019567 modified "2023-09-27" @default.
- W2011019567 title "Why “dark thoughts” aren't really dark: A novel algorithm for metaphor identification" @default.
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- W2011019567 doi "https://doi.org/10.1109/ccmb.2013.6609166" @default.
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