@inproceedings{pinter-etal-2020-nytwit,
    title = "{NYTWIT}: A Dataset of Novel Words in the {N}ew {Y}ork {T}imes",
    author = "Pinter, Yuval  and
      Jacobs, Cassandra L.  and
      Bittker, Max",
    editor = "Scott, Donia  and
      Bel, Nuria  and
      Zong, Chengqing",
    booktitle = "Proceedings of the 28th International Conference on Computational Linguistics",
    month = dec,
    year = "2020",
    address = "Barcelona, Spain (Online)",
    publisher = "International Committee on Computational Linguistics",
    url = "https://preview.aclanthology.org/fix-sig-urls/2020.coling-main.572/",
    doi = "10.18653/v1/2020.coling-main.572",
    pages = "6509--6515",
    abstract = "We present the New York Times Word Innovation Types dataset, or NYTWIT, a collection of over 2,500 novel English words published in the New York Times between November 2017 and March 2019, manually annotated for their class of novelty (such as lexical derivation, dialectal variation, blending, or compounding). We present baseline results for both uncontextual and contextual prediction of novelty class, showing that there is room for improvement even for state-of-the-art NLP systems. We hope this resource will prove useful for linguists and NLP practitioners by providing a real-world environment of novel word appearance."
}