Exploring the Impact of Negative Samples of Contrastive Learning: A Case Study of Sentence Embedding

Cao, R, Wang, Y, Liang, Y et al. (4 more authors) (Accepted: 2022) Exploring the Impact of Negative Samples of Contrastive Learning: A Case Study of Sentence Embedding. In: Findings of the Association for Computational Linguistics: ACL 2022. The 60th Annual Meeting of the Association for Computational Linguistics (ACL), 22-27 May 2022, Dublin, Ireland. Association for Computational Linguistics , pp. 3138-3152.

Metadata

Item Type: Proceedings Paper
Authors/Creators:
Copyright, Publisher and Additional Information:

© 2022 Association for Computational Linguistics. Published under the terms of the CC-BY 4.0 licence.
Dates:
  • Accepted: 24 February 2022
  • May 2022
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Computing (Leeds)
Depositing User: Symplectic Publications
Date Deposited: 08 Mar 2022 12:16
Last Modified: 05 Oct 2023 15:38
Published Version: https://aclanthology.org/2022.findings-acl
Status: Published
Publisher: Association for Computational Linguistics
Open Archives Initiative ID (OAI ID):

Export

Statistics


CORE (COnnecting REpositories)