German in Flux: Detecting Metaphoric Change via Word Entropy

June 15, 2017 ยท Declared Dead ยท ๐Ÿ› Conference on Computational Natural Language Learning

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Authors Dominik Schlechtweg, Stefanie Eckmann, Enrico Santus, Sabine Schulte im Walde, Daniel Hole arXiv ID 1706.04971 Category cs.CL: Computation & Language Citations 26 Venue Conference on Computational Natural Language Learning Last Checked 4 months ago
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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