The DARPA Wikidata Overlay: Wikidata as an ontology for natural language processing

Elizabeth Spaulding, Kathryn Conger, Anatole Gershman, Rosario Uceda-Sosa, Susan Windisch Brown, James Pustejovsky, Peter Anick, Martha Palmer


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, events and 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.
Anthology ID:
2023.isa-1.1
Volume:
Proceedings of the 19th Joint ACL-ISO Workshop on Interoperable Semantics (ISA-19)
Month:
June
Year:
2023
Address:
Nancy, France
Editor:
Harry Bunt
Venues:
ISA | WS
SIG:
SIGSEM
Publisher:
Association for Computational Linguistics
Note:
Pages:
1–10
Language:
URL:
https://aclanthology.org/2023.isa-1.1
DOI:
Bibkey:
Cite (ACL):
Elizabeth Spaulding, Kathryn Conger, Anatole Gershman, Rosario Uceda-Sosa, Susan Windisch Brown, James Pustejovsky, Peter Anick, and Martha Palmer. 2023. The DARPA Wikidata Overlay: Wikidata as an ontology for natural language processing. In Proceedings of the 19th Joint ACL-ISO Workshop on Interoperable Semantics (ISA-19), pages 1–10, Nancy, France. Association for Computational Linguistics.
Cite (Informal):
The DARPA Wikidata Overlay: Wikidata as an ontology for natural language processing (Spaulding et al., ISA-WS 2023)
Copy Citation:
PDF:
https://preview.aclanthology.org/nschneid-patch-1/2023.isa-1.1.pdf