@inproceedings{shwartz-waterson-2018-olive,
    title = "Olive Oil is Made \textit{of} Olives, Baby Oil is Made \textit{for} Babies: Interpreting Noun Compounds Using Paraphrases in a Neural Model",
    author = "Shwartz, Vered  and
      Waterson, Chris",
    editor = "Walker, Marilyn  and
      Ji, Heng  and
      Stent, Amanda",
    booktitle = "Proceedings of the 2018 Conference of the North {A}merican Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 2 (Short Papers)",
    month = jun,
    year = "2018",
    address = "New Orleans, Louisiana",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/iwcs-25-ingestion/N18-2035/",
    doi = "10.18653/v1/N18-2035",
    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."
}