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Resources and Evaluations for Danish Entity Resolution

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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.
Original languageEnglish
Title of host publicationFourth Workshop on Computational Models of Reference, Anaphora and Coreference (CRAC)
PublisherAssociation for Computational Linguistics
Publication date2021
Pages63–69
Publication statusPublished - 2021

ID: 86385822