Layer or representation space: what makes BERT-based evaluation metrics robust?

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Vu, D.N.L., Moosavi, N.S. orcid.org/0000-0002-8332-307X and Eger, S. (2022) Layer or representation space: what makes BERT-based evaluation metrics robust? In: Proceedings of the 29th International Conference on Computational Linguistics. 29th International Conference on Computational Linguistics (COLING 2022), 12-17 Oct 2022, Gyeongju, Republic of Korea. International Committee on Computational Linguistics , pp. 3401-3411.

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Item Type: Proceedings Paper
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© 2022 ACL. Licensed on a Creative Commons Attribution 4.0 International License. (https://creativecommons.org/licenses/by/4.0/)

Dates:
  • Published: October 2022
  • Published (online): October 2022
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: 07 Jun 2023 15:28
Last Modified: 07 Jun 2023 17:35
Published Version: https://aclanthology.org/2022.coling-1.300/
Status: Published
Publisher: International Committee on Computational Linguistics
Refereed: Yes
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