A Survey of QUD Models for Discourse Processing

Yingxue Fu


Abstract
Question Under Discussion (QUD), which is originally a linguistic analytic framework, gains increasing attention in the community of natural language processing over the years. Various models have been proposed for implementing QUD for discourse processing. This survey summarizes these models, with a focus on application to written texts, and examines studies that explore the relationship between QUD and mainstream discourse frameworks, including RST, PDTB and SDRT. Some questions that may require further study are suggested.
Anthology ID:
2025.naacl-long.84
Volume:
Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)
Month:
April
Year:
2025
Address:
Albuquerque, New Mexico
Editors:
Luis Chiruzzo, Alan Ritter, Lu Wang
Venue:
NAACL
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
1722–1732
Language:
URL:
https://preview.aclanthology.org/corrections-2025-06/2025.naacl-long.84/
DOI:
10.18653/v1/2025.naacl-long.84
Bibkey:
Cite (ACL):
Yingxue Fu. 2025. A Survey of QUD Models for Discourse Processing. In Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), pages 1722–1732, Albuquerque, New Mexico. Association for Computational Linguistics.
Cite (Informal):
A Survey of QUD Models for Discourse Processing (Fu, NAACL 2025)
Copy Citation:
PDF:
https://preview.aclanthology.org/corrections-2025-06/2025.naacl-long.84.pdf