@InProceedings{aedmaa-kper-schulteimwalde:2018:N18-4,
  author    = {Aedmaa, Eleri  and  Köper, Maximilian  and  Schulte im Walde, Sabine},
  title     = {Combining Abstractness and Language-specific Theoretical Indicators for Detecting Non-Literal Usage of Estonian Particle Verbs},
  booktitle = {Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Student Research Workshop},
  month     = {June},
  year      = {2018},
  address   = {New Orleans, Louisiana, USA},
  publisher = {Association for Computational Linguistics},
  pages     = {9--16},
  abstract  = {This paper presents two novel datasets and a random-forest classifier to automatically predict literal vs. non-literal language usage for a highly frequent type of multi-word expression in a low-resource language, i.e., Estonian. We demonstrate the value of language-specific indicators induced from theoretical linguistic research, which outperform a high majority baseline when combined with language-independent features of non-literal language (such as abstractness).},
  url       = {http://www.aclweb.org/anthology/N18-4002}
}