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%0 Conference Proceedings
%T Knowledge-Grounded Dialogue Generation with Term-level De-noising
%A Zheng, Wen
%A Milic-Frayling, Natasa
%A Zhou, Ke
%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 zheng-etal-2021-knowledge
%R 10.18653/v1/2021.findings-acl.262
%U https://aclanthology.org/2021.findings-acl.262/
%U https://doi.org/10.18653/v1/2021.findings-acl.262
%P 2972-2983

Markdown (Informal)

[Knowledge-Grounded Dialogue Generation with Term-level De-noising](https://aclanthology.org/2021.findings-acl.262/) (Zheng et al., Findings 2021)

• Knowledge-Grounded Dialogue Generation with Term-level De-noising (Zheng et al., Findings 2021)

ACL

• Wen Zheng, Natasa Milic-Frayling, and Ke Zhou. 2021. Knowledge-Grounded Dialogue Generation with Term-level De-noising. In Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021, pages 2972–2983, Online. Association for Computational Linguistics.