Generation of Student Questions for Inquiry-based Learning

Kevin Ros, Maxwell Jong, Chak Ho Chan, ChengXiang Zhai


Anthology ID:
2022.inlg-main.14
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:
186–195
Language:
URL:
https://aclanthology.org/2022.inlg-main.14
DOI:
10.18653/v1/2022.inlg-main.14
Bibkey:
Cite (ACL):
Kevin Ros, Maxwell Jong, Chak Ho Chan, and ChengXiang Zhai. 2022. Generation of Student Questions for Inquiry-based Learning. In Proceedings of the 15th International Conference on Natural Language Generation, pages 186–195, Waterville, Maine, USA and virtual meeting. Association for Computational Linguistics.
Cite (Informal):
Generation of Student Questions for Inquiry-based Learning (Ros et al., INLG 2022)
Copy Citation:
PDF:
https://preview.aclanthology.org/add_acl24_videos/2022.inlg-main.14.pdf
Software:
 2022.inlg-main.14.software.zip