Elaborative Simplification as Implicit Questions Under Discussion
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Abstract (arXiv)
Automated text simplification, a technique useful for making text more accessible to people such as children and emergent bilinguals, is often thought of as a monolingual translation task from complex sentences to simplified sentences using encoder-decoder models. This view fails to account for elaborative simplification, where new information is added into the simplified text. This paper proposes to view elaborative simplification through the lens of the Question Under Discussion (QUD) framework, providing a robust way to investigate what writers elaborate upon, how they elaborate, and how elaborations fit into the discourse context by viewing elaborations as explicit answers to implicit questions. We introduce ElabQUD, consisting of 1.3K elaborations accompanied with implicit QUDs, to study these phenomena. We show that explicitly modeling QUD (via question generation) not only provides essential understanding of elaborative simplification and how the elaborations connect with the rest of the discourse, but also substantially improves the quality of elaboration generation.
Key facts. Cited by 14 papers in the map (data through 14 Oct 2026). Builds on 13 of its 47 references that are in the map. First posted on arXiv 17 May 2023.
Builds on
13 of 47 references.
References · 13
- 2020Language Models are Few-Shot Learnerscited by 32,419
- 2019BERTScore: Evaluating Text Generation with BERTcited by 5,512
- 2019EditNTS: An Neural Programmer-Interpreter Model for Sentence Simplification through Explicit Editingcited by 63
- 2021Paragraph-level Simplification of Medical Textscited by 53
- 2022Conditional Generation with a Question-Answering Blueprintcited by 44
- 2021Controllable Open-ended Question Generation with A New Question Type Ontologycited by 36
- 2020Inquisitive Question Generation for High Level Text Comprehensioncited by 32
- 2020Elaborative Simplification: Content Addition and Explanation Generation in Text Simplificationcited by 27
- 2021Document-Level Text Simplification: Dataset, Criteria and Baselinecited by 27
- 2022An Imitation Learning Curriculum for Text Editing with Non-Autoregressive Modelscited by 20
- 2021Discourse Comprehension: A Question Answering Framework to Represent Sentence Connectionscited by 19
- 2022Discourse Analysis via Questions and Answers: Parsing Dependency Structures of Questions Under Discussioncited by 13
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Citing papers per year: 2023: 4; 2024: 2; 2025: 5; 2026: 3.
14 papers.
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- 2023BooookScore: A systematic exploration of book-length summarization in the era of LLMscited by 137
- 2023QUDEVAL: The Evaluation of Questions Under Discussion Discourse Parsingcited by 19
- 2023A Question Answering Framework for Decontextualizing User-facing Snippets from Scientific Documentscited by 16
- 2025Behavioral Analysis of Information Salience in Large Language Modelscited by 12
- 2024Fine-Grained Modeling of Narrative Context: A Coherence Perspective via Retrospective Questionscited by 11
- 2025What Is That Talk About? A Video-to-Text Summarization Dataset for Scientific Presentationscited by 11
- 2024Which questions should I answer? Salience Prediction of Inquisitive Questionscited by 8
- 2023Bridging Background Knowledge Gaps in Translation with Automatic Explicitationcited by 7
- 2025Explanatory Summarization with Discourse-Driven Planningcited by 4
- 2025A Survey of QUD Models for Discourse Processingcited by 1
- 2025Which Questions Improve Learning the Most? Utility Estimation of Questions with LM-based Simulationscited by 0
- 2026Which course? Discourse! Teaching Discourse and Generation in the Era of LLMscited by 0
- 2026Explain Like I'm 5 or Whatever I Choose: Evaluating the Potential for Interactive Complexity in Language Model Responses5 Jun 2026
- 2026Multimodal QUD: Inquisitive Questions from Scientific Figures26 Apr 2026
- 2026Which course? Discourse! Teaching Discourse and Generation in the Era of LLMs2 Feb 2026
- 2025Explanatory Summarization with Discourse-Driven Planning27 Apr 2025
- 2025Which Questions Improve Learning the Most? Utility Estimation of Questions with LM-based Simulations24 Feb 2025
- 2025Behavioral Analysis of Information Salience in Large Language Models20 Feb 2025
- 2025A Survey of QUD Models for Discourse Processing13 Feb 2025
- 2025What Is That Talk About? A Video-to-Text Summarization Dataset for Scientific Presentations12 Feb 2025
- 2024Which questions should I answer? Salience Prediction of Inquisitive Questions16 Apr 2024
- 2024Fine-Grained Modeling of Narrative Context: A Coherence Perspective via Retrospective Questions21 Feb 2024
- 2023Bridging Background Knowledge Gaps in Translation with Automatic Explicitation3 Dec 2023
- 2023QUDEVAL: The Evaluation of Questions Under Discussion Discourse Parsing23 Oct 2023
- 2023BooookScore: A systematic exploration of book-length summarization in the era of LLMscited by 137
- 2023QUDEVAL: The Evaluation of Questions Under Discussion Discourse Parsingcited by 19
- 2023A Question Answering Framework for Decontextualizing User-facing Snippets from Scientific Documentscited by 16
- 2025Behavioral Analysis of Information Salience in Large Language Modelscited by 12
- 2024Fine-Grained Modeling of Narrative Context: A Coherence Perspective via Retrospective Questionscited by 11
- 2025What Is That Talk About? A Video-to-Text Summarization Dataset for Scientific Presentationscited by 11
- 2024Which questions should I answer? Salience Prediction of Inquisitive Questionscited by 8
- 2023Bridging Background Knowledge Gaps in Translation with Automatic Explicitationcited by 7
- 2025Explanatory Summarization with Discourse-Driven Planningcited by 4
- 2025A Survey of QUD Models for Discourse Processingcited by 1
- 2025Which Questions Improve Learning the Most? Utility Estimation of Questions with LM-based Simulationscited by 0
- 2026Which course? Discourse! Teaching Discourse and Generation in the Era of LLMscited by 0
12 most cited of 14 All 14 (JSON)
- 2026Explain Like I'm 5 or Whatever I Choose: Evaluating the Potential for Interactive Complexity in Language Model Responses5 Jun 2026
- 2026Multimodal QUD: Inquisitive Questions from Scientific Figures26 Apr 2026
- 2026Which course? Discourse! Teaching Discourse and Generation in the Era of LLMs2 Feb 2026
- 2025Explanatory Summarization with Discourse-Driven Planning27 Apr 2025
- 2025Which Questions Improve Learning the Most? Utility Estimation of Questions with LM-based Simulations24 Feb 2025
- 2025Behavioral Analysis of Information Salience in Large Language Models20 Feb 2025
- 2025A Survey of QUD Models for Discourse Processing13 Feb 2025
- 2025What Is That Talk About? A Video-to-Text Summarization Dataset for Scientific Presentations12 Feb 2025
- 2024Which questions should I answer? Salience Prediction of Inquisitive Questions16 Apr 2024
- 2024Fine-Grained Modeling of Narrative Context: A Coherence Perspective via Retrospective Questions21 Feb 2024
- 2023Bridging Background Knowledge Gaps in Translation with Automatic Explicitation3 Dec 2023
- 2023QUDEVAL: The Evaluation of Questions Under Discussion Discourse Parsing23 Oct 2023
12 newest of 14 All 14 (JSON)