Evaluating Referring Form Selection Models in Partially-Known Environments

Zhao Han, Polina Rygina, Thomas Williams


Anthology ID:
2022.inlg-main.1
Volume:
Proceedings of the 15th International Conference on Natural Language Generation
Month:
July
Year:
2022
Address:
Waterville, Maine, USA and virtual meeting
Editors:
Samira Shaikh, Thiago Ferreira, Amanda Stent
Venue:
INLG
SIG:
SIGGEN
Publisher:
Association for Computational Linguistics
Note:
Pages:
1–14
Language:
URL:
https://aclanthology.org/2022.inlg-main.1
DOI:
10.18653/v1/2022.inlg-main.1
Bibkey:
Cite (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.
Cite (Informal):
Evaluating Referring Form Selection Models in Partially-Known Environments (Han et al., INLG 2022)
Copy Citation:
PDF:
https://aclanthology.org/2022.inlg-main.1.pdf
Software:
 2022.inlg-main.1.software.zip