Addressing Inquiries about History: An Efficient and Practical Framework for Evaluating Open-domain Chatbot Consistency

Zekang Li, Jinchao Zhang, Zhengcong Fei, Yang Feng, Jie Zhou


Anthology ID:
2021.findings-acl.91
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:
1057–1067
Language:
URL:
https://aclanthology.org/2021.findings-acl.91
DOI:
10.18653/v1/2021.findings-acl.91
Bibkey:
Cite (ACL):
Zekang Li, Jinchao Zhang, Zhengcong Fei, Yang Feng, and Jie Zhou. 2021. Addressing Inquiries about History: An Efficient and Practical Framework for Evaluating Open-domain Chatbot Consistency. In Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021, pages 1057–1067, Online. Association for Computational Linguistics.
Cite (Informal):
Addressing Inquiries about History: An Efficient and Practical Framework for Evaluating Open-domain Chatbot Consistency (Li et al., Findings 2021)
Copy Citation:
PDF:
https://aclanthology.org/2021.findings-acl.91.pdf
Video:
 https://aclanthology.org/2021.findings-acl.91.mp4
Code
 ictnlp/AIH