Abstract
Questions are an integral part of discourse. They provide structure and support the exchange of information. One linguistic theory, the Questions Under Discussion model, takes question structures as integral to the functioning of a coherent discourse. This theory has not been tested on the count of its validity for predicting observations in real dialogue data, however. In this submission, a system for ranking explicit and implicit questions by their appropriateness in a dialogue is presented. This system implements constraints and principles put forward in the linguistic literature.- Anthology ID:
- P19-2019
- Volume:
- Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop
- Month:
- July
- Year:
- 2019
- Address:
- Florence, Italy
- Editors:
- Fernando Alva-Manchego, Eunsol Choi, Daniel Khashabi
- Venue:
- ACL
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 143–148
- Language:
- URL:
- https://aclanthology.org/P19-2019
- DOI:
- 10.18653/v1/P19-2019
- Cite (ACL):
- Luise Schricker and Tatjana Scheffler. 2019. Ranking of Potential Questions. In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop, pages 143–148, Florence, Italy. Association for Computational Linguistics.
- Cite (Informal):
- Ranking of Potential Questions (Schricker & Scheffler, ACL 2019)
- PDF:
- https://preview.aclanthology.org/dois-2013-emnlp/P19-2019.pdf
- Code
- QUD-comp/ranking-potential-questions