A Survey of QUD Models for Discourse Processing
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Abstract (arXiv)
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.
Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). Builds on 12 of its 38 references that are in the map. First posted on arXiv 13 Feb 2025.
Builds on
12 of 38 references.
References · 12
- 2018Know What You Don't Know: Unanswerable Questions for SQuADcited by 1,554
- 2022Conditional Generation with a Question-Answering Blueprintcited by 44
- 2020QADiscourse -- Discourse Relations as QA Pairs: Representation, Crowdsourcing and Baselinescited by 34
- 2020Inquisitive Question Generation for High Level Text Comprehensioncited by 32
- 2021Discourse Comprehension: A Question Answering Framework to Represent Sentence Connectionscited by 19
- 2023QUDEVAL: The Evaluation of Questions Under Discussion Discourse Parsingcited by 19
- 2023Elaborative Simplification as Implicit Questions Under Discussioncited by 14
- 2022Discourse Analysis via Questions and Answers: Parsing Dependency Structures of Questions Under Discussioncited by 13
- 2024Fine-Grained Modeling of Narrative Context: A Coherence Perspective via Retrospective Questionscited by 11
- 2022Towards Unification of Discourse Annotation Frameworkscited by 8
- 2024Which questions should I answer? Salience Prediction of Inquisitive Questionscited by 8
- 2024QUDSELECT: Selective Decoding for Questions Under Discussion Parsingcited by 5
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Citing papers per year: 2025: 1.
1 paper.