@inproceedings{wang-etal-2017-distributional,
    title = "Distributional Modeling on a Diet: One-shot Word Learning from Text Only",
    author = "Wang, Su  and
      Roller, Stephen  and
      Erk, Katrin",
    editor = "Kondrak, Greg  and
      Watanabe, Taro",
    booktitle = "Proceedings of the Eighth International Joint Conference on Natural Language Processing (Volume 1: Long Papers)",
    month = nov,
    year = "2017",
    address = "Taipei, Taiwan",
    publisher = "Asian Federation of Natural Language Processing",
    url = "https://preview.aclanthology.org/fix-sig-urls/I17-1021/",
    pages = "204--213",
    abstract = "We test whether distributional models can do one-shot learning of definitional properties from text only. Using Bayesian models, we find that first learning overarching structure in the known data, regularities in textual contexts and in properties, helps one-shot learning, and that individual context items can be highly informative."
}