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      German in Flux: Detecting Metaphoric Change via Word Entropy

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          Abstract

          This paper explores the information-theoretic measure entropy to detect metaphoric change, transferring ideas from hypernym detection to research on language change. We also build the first diachronic test set for German as a standard for metaphoric change annotation. Our model shows high performance, is unsupervised, language-independent and generalizable to other processes of semantic change.

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          Most cited references 13

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          MIP: A Method for Identifying Metaphorically Used Words in Discourse

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            Understanding semantic change of words over centuries

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              Context-theoretic semantics for natural language

               Daoud Clarke (2009)
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                Author and article information

                Journal
                2017-06-15
                Article
                1706.04971

                http://creativecommons.org/licenses/by-sa/4.0/

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                CoNLL 2017. 9 pages
                cs.CL

                Theoretical computer science

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