@InProceedings{schlechtweg-EtAl:2017:CoNLL,
  author    = {Schlechtweg, Dominik  and  Eckmann, Stefanie  and  Santus, Enrico  and  Schulte im Walde, Sabine  and  Hole, Daniel},
  title     = {German in Flux: Detecting Metaphoric Change via Word Entropy},
  booktitle = {Proceedings of the 21st Conference on Computational Natural Language Learning (CoNLL 2017)},
  month     = {August},
  year      = {2017},
  address   = {Vancouver, Canada},
  publisher = {Association for Computational Linguistics},
  pages     = {354--367},
  abstract  = {This paper explores the information-theoretic measure entropy to detect
	metaphoric change, transferring ideas from hypernym detection to research on
	language change. We build the first diachronic test set for German as a
	standard for metaphoric change annotation. Our model is unsupervised,
	language-independent and generalizable to other processes of semantic change.},
  url       = {http://aclweb.org/anthology/K17-1036}
}