Resources and Evaluations for Danish Entity Resolution
- Maria Jung Barrett,
- Hieu Lam,
- Martin Wu,
- Ophélie Lacroix,
- ,
- Anders Søgaard
- ,
- Alexandra Instituttet A/S,
- University of Copenhagen
Research Output:
Conference Article in Proceeding or Book/Report chapter
Article in proceedings
Peer-reviewOpen access
Publication Information
Output type
Research Output:
Conference Article in Proceeding or Book/Report chapter
Article in proceedings
Peer-reviewOriginal language
EnglishPages from-to (Number of pages)
Pages 63–69Publication milestones
- Published - 2021
Publication status
Published - 2021
Publisher
Association for Computational Linguistics, United StatesHost publication title
Fourth Workshop on Computational Models of Reference, Anaphora and Coreference (CRAC)Abstract
Automatic coreference resolution is understudied in Danish even though most of the Danish Dependency Treebank (Buch-Kromann, 2003) is annotated with coreference relations. This paper describes a conversion of its partial, yet well-documented, coreference relations into coreference clusters and the training and evaluation of coreference models on this data. To the best of our knowledge, these are the first publicly available, neural coreference models for Danish. We also present a new entity linking annotation on the dataset using WikiData identifiers, a named entity disambiguation (NED) dataset, and a larger automatically created NED dataset enabling wikily supervised NED models. The entity linking annotation is benchmarked using a state-of-the-art neural entity disambiguation model.
Access to documents
Related Event
Title
Computational Models of Reference, Anaphora and Coreference
Event type
ConferenceDegree of recognition
International eventDate
01/11/2021 Location
Punta CanaDominica
