What should I Ask: A Knowledge-driven Approach for Follow-up Questions Generation in Conversational Surveys
Yubin Ge, Ziang Xiao, Jana Diesner, Heng Ji, Karrie Karahalios, Hari Sundaram
- Anthology ID:
- 2023.paclic-1.12
- Volume:
- Proceedings of the 37th Pacific Asia Conference on Language, Information and Computation
- Month:
- December
- Year:
- 2023
- Address:
- Hong Kong, China
- Editors:
- Chu-Ren Huang, Yasunari Harada, Jong-Bok Kim, Si Chen, Yu-Yin Hsu, Emmanuele Chersoni, Pranav A, Winnie Huiheng Zeng, Bo Peng, Yuxi Li, Junlin Li
- Venue:
- PACLIC
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 113–124
- Language:
- URL:
- https://preview.aclanthology.org/build-pipeline-with-new-library/2023.paclic-1.12/
- DOI:
- Cite (ACL):
- Yubin Ge, Ziang Xiao, Jana Diesner, Heng Ji, Karrie Karahalios, and Hari Sundaram. 2023. What should I Ask: A Knowledge-driven Approach for Follow-up Questions Generation in Conversational Surveys. In Proceedings of the 37th Pacific Asia Conference on Language, Information and Computation, pages 113–124, Hong Kong, China. Association for Computational Linguistics.
- Cite (Informal):
- What should I Ask: A Knowledge-driven Approach for Follow-up Questions Generation in Conversational Surveys (Ge et al., PACLIC 2023)
- PDF:
- https://preview.aclanthology.org/build-pipeline-with-new-library/2023.paclic-1.12.pdf