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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-review

Open access

Publication Information

Output type

Research Output:
Conference Article in Proceeding or Book/Report chapter
Article in proceedings
Peer-review

Original language

English

Pages from-to (Number of pages)

Pages 63–69

Publication milestones

  • Published - 2021

Publication status

Published - 2021

Publisher

Association for Computational Linguistics, United States

Host 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.

Related Event

Title

Computational Models of Reference, Anaphora and Coreference

Event type

Conference

Degree of recognition

International event

Date

01/11/2021

Location

Punta CanaDominica