@inproceedings{dingwall-potts-2018-mittens,
    title = "{M}ittens: an Extension of {G}lo{V}e for Learning Domain-Specialized Representations",
    author = "Dingwall, Nicholas  and
      Potts, Christopher",
    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/Ingest-2025-COMPUTEL/N18-2034/",
    doi = "10.18653/v1/N18-2034",
    pages = "212--217",
    abstract = "We present a simple extension of the GloVe representation learning model that begins with general-purpose representations and updates them based on data from a specialized domain. We show that the resulting representations can lead to faster learning and better results on a variety of tasks."
}