Robustness and reliability of gender bias assessment in word embeddings : the role of base pairs

Zhang, H., Sneyd, A. and Stevenson, R. orcid.org/0000-0002-9483-6006 (2020) Robustness and reliability of gender bias assessment in word embeddings : the role of base pairs. In: Wong, K.-F., Knight, K. and Wu, H., (eds.) Proceedings of the 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing. 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing, 04-07 Dec 2020, Suzhou, China (online). Association for Computational Linguistics (ACL) , pp. 759-769. ISBN 9781952148910

Abstract

Metadata

Item Type: Proceedings Paper
Authors/Creators:
Editors:
  • Wong, K.-F.
  • Knight, K.
  • Wu, H.
Copyright, Publisher and Additional Information:

© 2021 Association for Computational Linguistics. Available under a Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/).

Dates:
  • Published: December 2020
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Computer Science (Sheffield)
Depositing User: Symplectic Sheffield
Date Deposited: 14 Jun 2021 13:54
Last Modified: 14 Jun 2021 13:54
Published Version: https://www.aclweb.org/anthology/2020.aacl-main.76
Status: Published
Publisher: Association for Computational Linguistics (ACL)
Refereed: Yes
Open Archives Initiative ID (OAI ID):

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