@inproceedings{hansson-etal-2021-swedish,
title = "The {S}wedish {W}inogender Dataset",
author = "Hansson, Saga and
Mavromatakis, Konstantinos and
Adesam, Yvonne and
Bouma, Gerlof and
Dann{\'e}lls, Dana",
editor = "Dobnik, Simon and
{\O}vrelid, Lilja",
booktitle = "Proceedings of the 23rd Nordic Conference on Computational Linguistics (NoDaLiDa)",
month = may # " 31--2 " # jun,
year = "2021",
address = "Reykjavik, Iceland (Online)",
publisher = {Link{\"o}ping University Electronic Press, Sweden},
url = "https://aclanthology.org/2021.nodalida-main.52",
pages = "452--459",
abstract = "We introduce the SweWinogender test set, a diagnostic dataset to measure gender bias in coreference resolution. It is modelled after the English Winogender benchmark, and is released with reference statistics on the distribution of men and women between occupations and the association between gender and occupation in modern corpus material. The paper discusses the design and creation of the dataset, and presents a small investigation of the supplementary statistics.",
}
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%0 Conference Proceedings
%T The Swedish Winogender Dataset
%A Hansson, Saga
%A Mavromatakis, Konstantinos
%A Adesam, Yvonne
%A Bouma, Gerlof
%A Dannélls, Dana
%Y Dobnik, Simon
%Y Øvrelid, Lilja
%S Proceedings of the 23rd Nordic Conference on Computational Linguistics (NoDaLiDa)
%D 2021
%8 may 31–2 jun
%I Linköping University Electronic Press, Sweden
%C Reykjavik, Iceland (Online)
%F hansson-etal-2021-swedish
%X We introduce the SweWinogender test set, a diagnostic dataset to measure gender bias in coreference resolution. It is modelled after the English Winogender benchmark, and is released with reference statistics on the distribution of men and women between occupations and the association between gender and occupation in modern corpus material. The paper discusses the design and creation of the dataset, and presents a small investigation of the supplementary statistics.
%U https://aclanthology.org/2021.nodalida-main.52
%P 452-459
Markdown (Informal)
[The Swedish Winogender Dataset](https://aclanthology.org/2021.nodalida-main.52) (Hansson et al., NoDaLiDa 2021)
ACL
- Saga Hansson, Konstantinos Mavromatakis, Yvonne Adesam, Gerlof Bouma, and Dana Dannélls. 2021. The Swedish Winogender Dataset. In Proceedings of the 23rd Nordic Conference on Computational Linguistics (NoDaLiDa), pages 452–459, Reykjavik, Iceland (Online). Linköping University Electronic Press, Sweden.