---
title: "Who cites Inquisitive Question Generation for High Level…"
description: "The papers of the Elamur Research library that cite «Inquisitive Question Generation for High Level Text Comprehension», found in their bibliographies."
canonical: "https://research.elamur.ai/free/en/papers/ko-2020-inquisitive-question-generation-high-level/cited-by/"
---
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[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Inquisitive Question Generation for High Level…](https://md.research.elamur.ai/free/en/papers/ko-2020-inquisitive-question-generation-high-level/) / cited by

# Who cites «Inquisitive Question Generation for High Level Text Comprehension»

33 papers of our library cite it, newest first: found in their bibliographies, which we read ourselves. [← the card](https://md.research.elamur.ai/free/en/papers/ko-2020-inquisitive-question-generation-high-level/)

1. [From Generation to Evaluation: A Resource for Error-Categorized Question Generation from Video Transcripts](https://aclanthology.org/2026.lrec-1.170/) *— 2026 · Proceedings of the Fifteenth Language Resources and Evaluation Conference*
2. [LinkNav: Surfacing Interconnected Information in Scientific Articles](https://aclanthology.org/2026.acl-demo.45/) *— 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations)*
3. [A Survey of QUD Models for Discourse Processing](https://md.research.elamur.ai/free/en/papers/fu-2025-survey-qud-models-discourse-processing/) *— our card · 2025 · 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)*
4. [Bridging Information Gaps with Comprehensive Answers: Improving the Diversity and Informativeness of Follow-Up Questions](https://aclanthology.org/2025.starsem-1.2/) *— 2025 · Proceedings of the 14th Joint Conference on Lexical and Computational Semantics (*SEM 2025)*
5. [Follow-up Question Generation For Enhanced Patient-Provider Conversations](https://aclanthology.org/2025.acl-long.1226/) *— 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
6. [Backtracing: Retrieving the Cause of the Query](https://aclanthology.org/2024.findings-eacl.48/) *— 2024 · Findings of the Association for Computational Linguistics: EACL 2024*
7. [Fine-Grained Modeling of Narrative Context: A Coherence Perspective via Retrospective Questions](https://aclanthology.org/2024.acl-long.317/) *— 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
8. [InfoLossQA: Characterizing and Recovering Information Loss in Text Simplification](https://aclanthology.org/2024.acl-long.234/) *— 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
9. [Which questions should I answer? Salience Prediction of Inquisitive Questions](https://aclanthology.org/2024.emnlp-main.1114/) *— 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing*
10. [A Question Answering Framework for Decontextualizing User-facing Snippets from Scientific Documents](https://aclanthology.org/2023.emnlp-main.193/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
11. [Answering Unanswered Questions through Semantic Reformulations in Spoken QA](https://aclanthology.org/2023.acl-industry.70/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 5: Industry Track)*
12. [BooookScore: A systematic exploration of book-length summarization in the era of LLMs](https://arxiv.org/abs/2310.00785) *— 2023 · arXiv:2310.00785*
13. [Conditional Generation with a Question-Answering Blueprint](https://aclanthology.org/2023.tacl-1.55/) *— 2023 · Transactions of the Association for Computational Linguistics*
14. [Covering Uncommon Ground: Gap-Focused Question Generation for Answer Assessment](https://aclanthology.org/2023.acl-short.20/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)*
15. [Discourse Analysis via Questions and Answers: Parsing Dependency Structures of Questions Under Discussion](https://md.research.elamur.ai/free/en/papers/ko-2023-discourse-analysis-questions-answers-parsing/) *— our card · 2023 · Findings of the Association for Computational Linguistics: ACL 2023*
16. [Elaborative Simplification as Implicit Questions Under Discussion](https://md.research.elamur.ai/free/en/papers/wu-2023-elaborative-simplification-as-implicit-questions/) *— our card · 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
17. [FollowupQG: Towards information-seeking follow-up question generation](https://aclanthology.org/2023.ijcnlp-main.17/) *— 2023 · Proceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)*
18. [Generating Deep Questions with Commonsense Reasoning Ability from the Text by Disentangled Adversarial Inference](https://aclanthology.org/2023.findings-acl.30/) *— 2023 · Findings of the Association for Computational Linguistics: ACL 2023*
19. [PaperMage: A Unified Toolkit for Processing, Representing, and Manipulating Visually-Rich Scientific Documents](https://aclanthology.org/2023.emnlp-demo.45/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: System Demonstrations*
20. [QUDeval: The Evaluation of Questions Under Discussion Discourse Parsing](https://md.research.elamur.ai/free/en/papers/wu-2023-qudeval-evaluation-questions-under-discussion/) *— our card · 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
21. [SkillQG: Learning to Generate Question for Reading Comprehension Assessment](https://aclanthology.org/2023.findings-acl.870/) *— 2023 · Findings of the Association for Computational Linguistics: ACL 2023*
22. [Socratic Question Generation: A Novel Dataset, Models, and Evaluation](https://aclanthology.org/2023.eacl-main.12/) *— 2023 · Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics*
23. [Automatic Generation of Socratic Subquestions for Teaching Math Word Problems](https://aclanthology.org/2022.emnlp-main.277/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
24. [CONSISTENT: Open-Ended Question Generation From News Articles](https://aclanthology.org/2022.findings-emnlp.517/) *— 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022*
25. [DREAM: Improving Situational QA by First Elaborating the Situation](https://aclanthology.org/2022.naacl-main.82/) *— 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
26. [Discord Questions: A Computational Approach To Diversity Analysis in News Coverage](https://aclanthology.org/2022.findings-emnlp.380/) *— 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022*
27. [Discourse Comprehension: A Question Answering Framework to Represent Sentence Connections](https://aclanthology.org/2022.emnlp-main.806/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
28. [Generation of Student Questions for Inquiry-based Learning](https://aclanthology.org/2022.inlg-main.14/) *— 2022 · Proceedings of the 15th International Conference on Natural Language Generation*
29. [Learning to Generate Question by Asking Question: A Primal-Dual Approach with Uncommon Word Generation](https://aclanthology.org/2022.emnlp-main.4/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
30. [“What makes a question inquisitive?” A Study on Type-Controlled Inquisitive Question Generation](https://aclanthology.org/2022.starsem-1.22/) *— 2022 · Proceedings of the 11th Joint Conference on Lexical and Computational Semantics*
31. [Enhancing Question Generation with Commonsense Knowledge](https://aclanthology.org/2021.ccl-1.87/) *— 2021 · Proceedings of the 20th Chinese National Conference on Computational Linguistics*
32. [Latent Reasoning for Low-Resource Question Generation](https://aclanthology.org/2021.findings-acl.265/) *— 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021*
33. [Similarity or deeper understanding? Analyzing the TED-Q dataset of evoked questions](https://aclanthology.org/2020.coling-main.439/) *— 2020 · Proceedings of the 28th International Conference on Computational Linguistics*