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%0 Conference Proceedings
%T Addressing Inquiries about History: An Efficient and Practical Framework for Evaluating Open-domain Chatbot Consistency
%A Li, Zekang
%A Zhang, Jinchao
%A Fei, Zhengcong
%A Feng, Yang
%A Zhou, Jie
%Y Zong, Chengqing
%Y Xia, Fei
%Y Li, Wenjie
%Y Navigli, Roberto
%S Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021
%D 2021
%8 August
%I Association for Computational Linguistics
%C Online
%F li-etal-2021-addressing
%R 10.18653/v1/2021.findings-acl.91
%U https://aclanthology.org/2021.findings-acl.91
%U https://doi.org/10.18653/v1/2021.findings-acl.91
%P 1057-1067

Markdown (Informal)

[Addressing Inquiries about History: An Efficient and Practical Framework for Evaluating Open-domain Chatbot Consistency](https://aclanthology.org/2021.findings-acl.91) (Li et al., Findings 2021)

• Addressing Inquiries about History: An Efficient and Practical Framework for Evaluating Open-domain Chatbot Consistency (Li et al., Findings 2021)

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.