@inproceedings{spaulding-etal-2023-darpa,
    title = "The {DARPA} {W}ikidata Overlay: {W}ikidata as an ontology for natural language processing",
    author = "Spaulding, Elizabeth  and
      Conger, Kathryn  and
      Gershman, Anatole  and
      Uceda-Sosa, Rosario  and
      Brown, Susan Windisch  and
      Pustejovsky, James  and
      Anick, Peter  and
      Palmer, Martha",
    editor = "Bunt, Harry",
    booktitle = "Proceedings of the 19th Joint ACL-ISO Workshop on Interoperable Semantics (ISA-19)",
    month = jun,
    year = "2023",
    address = "Nancy, France",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2023.isa-1.1",
    pages = "1--10",
    abstract = "With 102,530,067 items currently in its crowd-sourced knowledge base, Wikidata provides NLP practitioners a unique and powerful resource for inference and reasoning over real-world entities. However, because Wikidata is very entity focused, \textit{events} and \textit{actions} are often labeled with eventive nouns (e.g., the process of diagnosing a person{'}s illness is labeled {``}diagnosis{''}), and the typical participants in an event are not described or linked to that event concept (e.g., the medical professional or patient). Motivated by a need for an adaptable, comprehensive, domain-flexible ontology for information extraction, including identifying the roles entities are playing in an event, we present a curated subset of Wikidata in which events have been enriched with PropBank roles. To enable richer narrative understanding between events from Wikidata concepts, we have also provided a comprehensive mapping from temporal Qnodes and Pnodes to the Allen Interval Temporal Logic relations.",
}