A transformational biencoder with in-domain negative sampling for zero-shot entity linking

Sun, K., Zhang, R., Mensah, S. orcid.org/0000-0003-0779-5574 et al. (2 more authors) (2022) A transformational biencoder with in-domain negative sampling for zero-shot entity linking. In: Findings of the Association for Computational Linguistics: ACL 2022. The 60th Annual Meeting of the Association for Computational Linguistics (ACL 2022), 22-27 May 2022, Dublin, Ireland. Association for Computational Linguistics , pp. 1449-1458. ISBN 9781955917254

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Item Type: Proceedings Paper
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Copyright, Publisher and Additional Information:

© 2022 Association for Computational Linguistics. This paper licensed on a Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0/).

Dates:
  • Published: May 2022
  • Published (online): May 2022
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Computer Science (Sheffield)
Funding Information:
Funder
Grant number
The Leverhulme Trust
RPG-2020-148
Depositing User: Symplectic Sheffield
Date Deposited: 26 Aug 2022 12:39
Last Modified: 26 Aug 2022 12:39
Status: Published
Publisher: Association for Computational Linguistics
Refereed: Yes
Identification Number: 10.18653/v1/2022.findings-acl.114
Open Archives Initiative ID (OAI ID):

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