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

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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
Editors:: Chengqing Zong, Fei Xia, Wenjie Li, Roberto Navigli
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)
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