@inproceedings{mills-etal-2018-automatic,
    title = "Automatic Identification of Basic-Level Categories",
    author = "Mills, Chad  and
      Bond, Francis  and
      Levow, Gina-Anne",
    editor = "Bond, Francis  and
      Vossen, Piek  and
      Fellbaum, Christiane",
    booktitle = "Proceedings of the 9th Global Wordnet Conference",
    month = jan,
    year = "2018",
    address = "Nanyang Technological University (NTU), Singapore",
    publisher = "Global Wordnet Association",
    url = "https://preview.aclanthology.org/jlcl-multiple-ingestion/2018.gwc-1.35/",
    pages = "298--305",
    abstract = "Basic-level categories have been shown to be both psychologically significant and useful in a wide range of practical applications. We build a rule-based system to identify basic-level categories in WordNet, achieving 77{\%} accuracy on a test set derived from prior psychological experiments. With additional annotations we found our system also has low precision, in part due to the existence of many categories that do not fit into the three classes (superordinate, basic-level, and subordinate) relied on in basic-level category research."
}