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.
@article{arxiv.1706.04971,
title = {German in Flux: Detecting Metaphoric Change via Word Entropy},
author = {Dominik Schlechtweg and Stefanie Eckmann and Enrico Santus and Sabine Schulte im Walde and Daniel Hole},
journal= {arXiv preprint arXiv:1706.04971},
year = {2017}
}