REAM: An Enhancement Approach to Reference-based Evaluation Metrics for Open-domain Dialog Generation

Jun Gao, Wei Bi, Ruifeng Xu, Shuming Shi


Anthology ID:
2021.findings-acl.220
Volume:
Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021
Month:
August
Year:
2021
Address:
Online
Venue:
Findings
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
2487–2500
Language:
URL:
https://aclanthology.org/2021.findings-acl.220
DOI:
10.18653/v1/2021.findings-acl.220
Bibkey:
Cite (ACL):
Jun Gao, Wei Bi, Ruifeng Xu, and Shuming Shi. 2021. REAM♯: An Enhancement Approach to Reference-based Evaluation Metrics for Open-domain Dialog Generation: An Enhancement Approach to Reference-based Evaluation Metrics for Open-domain Dialog Generation. In Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021, pages 2487–2500, Online. Association for Computational Linguistics.
Cite (Informal):
REAM♯: An Enhancement Approach to Reference-based Evaluation Metrics for Open-domain Dialog Generation: An Enhancement Approach to Reference-based Evaluation Metrics for Open-domain Dialog Generation (Gao et al., Findings 2021)
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PDF:
https://aclanthology.org/2021.findings-acl.220.pdf
Video:
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