Resources and Evaluations for Danish Entity Resolution

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 Wiki-Data 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.

How Conservative are Language Models? Adapting to the Introduction of Gender-Neutral Pronouns

“…Results on the Danish Coref corpus, where we are able to perform a more extensive coreference resolution task are displayed in Table 4. We were able to replicate results from Barrett et al (2021) (the first column orig.) and see small drops in performance for singular de and høn.…”

“…For Danish, we apply the recently published coreference model (Barrett et al, 2021) to both the corresponding test set from the Dacoref dataset and a gender-neutralized version where we exchange gendered pronouns hun/han for either høn or singular de. 10…”