@InProceedings{shwartz-waterson:2018:N18-2,
  author    = {Shwartz, Vered  and  Waterson, Chris},
  title     = {Olive Oil is Made \emph{of} Olives, Baby Oil is Made \emph{for} Babies: Interpreting Noun Compounds Using Paraphrases in a Neural Model},
  booktitle = {Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 2 (Short Papers)},
  month     = {June},
  year      = {2018},
  address   = {New Orleans, Louisiana},
  publisher = {Association for Computational Linguistics},
  pages     = {218--224},
  abstract  = {Automatic interpretation of the relation between the constituents of a noun compound, e.g. olive oil (source) and baby oil (purpose) is an important task for many NLP applications. Recent approaches are typically based on either noun-compound representations or paraphrases. While the former has initially shown promising results, recent work suggests that the success stems from memorizing single prototypical words for each relation. We explore a neural paraphrasing approach that demonstrates superior performance when such memorization is not possible.},
  url       = {http://www.aclweb.org/anthology/N18-2035}
}