Resources and Evaluations for Danish Entity Resolution

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

Standard

Resources and Evaluations for Danish Entity Resolution. / Barrett, Maria; Lam, Hieu; Wu, Martin; Lacroix, Ophélie; Plank, Barbara; Søgaard, Anders.

Proceedings of the Fourth Workshop on Computational Models of Reference, Anaphora and Coreference. Association for Computational Linguistics, 2021. p. 63-69.

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

Harvard

Barrett, M, Lam, H, Wu, M, Lacroix, O, Plank, B & Søgaard, A 2021, Resources and Evaluations for Danish Entity Resolution. in Proceedings of the Fourth Workshop on Computational Models of Reference, Anaphora and Coreference. Association for Computational Linguistics, pp. 63-69, 4th Workshop on Computational Models of Reference, Anaphora and Coreference, Punta Cana, Dominican Republic, 10/11/2021. https://doi.org/10.18653/v1/2021.crac-1.7

APA

Barrett, M., Lam, H., Wu, M., Lacroix, O., Plank, B., & Søgaard, A. (2021). Resources and Evaluations for Danish Entity Resolution. In Proceedings of the Fourth Workshop on Computational Models of Reference, Anaphora and Coreference (pp. 63-69). Association for Computational Linguistics. https://doi.org/10.18653/v1/2021.crac-1.7

Vancouver

Barrett M, Lam H, Wu M, Lacroix O, Plank B, Søgaard A. Resources and Evaluations for Danish Entity Resolution. In Proceedings of the Fourth Workshop on Computational Models of Reference, Anaphora and Coreference. Association for Computational Linguistics. 2021. p. 63-69 https://doi.org/10.18653/v1/2021.crac-1.7

Author

Barrett, Maria ; Lam, Hieu ; Wu, Martin ; Lacroix, Ophélie ; Plank, Barbara ; Søgaard, Anders. / Resources and Evaluations for Danish Entity Resolution. Proceedings of the Fourth Workshop on Computational Models of Reference, Anaphora and Coreference. Association for Computational Linguistics, 2021. pp. 63-69

Bibtex

@inproceedings{13d9a170929148a19988d295445f092a,
title = "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 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.",
author = "Maria Barrett and Hieu Lam and Martin Wu and Oph{\'e}lie Lacroix and Barbara Plank and Anders S{\o}gaard",
year = "2021",
doi = "10.18653/v1/2021.crac-1.7",
language = "English",
pages = "63--69",
booktitle = "Proceedings of the Fourth Workshop on Computational Models of Reference, Anaphora and Coreference",
publisher = "Association for Computational Linguistics",
note = "4th Workshop on Computational Models of Reference, Anaphora and Coreference ; Conference date: 10-11-2021 Through 11-11-2021",

}

RIS

TY - GEN

T1 - Resources and Evaluations for Danish Entity Resolution

AU - Barrett, Maria

AU - Lam, Hieu

AU - Wu, Martin

AU - Lacroix, Ophélie

AU - Plank, Barbara

AU - Søgaard, Anders

PY - 2021

Y1 - 2021

N2 - 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.

AB - 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.

U2 - 10.18653/v1/2021.crac-1.7

DO - 10.18653/v1/2021.crac-1.7

M3 - Article in proceedings

SP - 63

EP - 69

BT - Proceedings of the Fourth Workshop on Computational Models of Reference, Anaphora and Coreference

PB - Association for Computational Linguistics

T2 - 4th Workshop on Computational Models of Reference, Anaphora and Coreference

Y2 - 10 November 2021 through 11 November 2021

ER -

ID: 300081519