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%0 Conference Proceedings
%T Evaluating Referring Form Selection Models in Partially-Known Environments
%A Han, Zhao
%A Rygina, Polina
%A Williams, Thomas
%Y Shaikh, Samira
%Y Ferreira, Thiago
%Y Stent, Amanda
%S Proceedings of the 15th International Conference on Natural Language Generation
%D 2022
%8 July
%I Association for Computational Linguistics
%C Waterville, Maine, USA and virtual meeting
%F han-etal-2022-evaluating
%R 10.18653/v1/2022.inlg-main.1
%U https://aclanthology.org/2022.inlg-main.1
%U https://doi.org/10.18653/v1/2022.inlg-main.1
%P 1-14

Markdown (Informal)

[Evaluating Referring Form Selection Models in Partially-Known Environments](https://aclanthology.org/2022.inlg-main.1) (Han et al., INLG 2022)

• Evaluating Referring Form Selection Models in Partially-Known Environments (Han et al., INLG 2022)

ACL

• Zhao Han, Polina Rygina, and Thomas Williams. 2022. Evaluating Referring Form Selection Models in Partially-Known Environments. In Proceedings of the 15th International Conference on Natural Language Generation, pages 1–14, Waterville, Maine, USA and virtual meeting. Association for Computational Linguistics.