Who cites «It is AI's Turn to Ask Humans a Question: Question-Answer Pair Generation for Children's Story Books»

32 papers of our library cite it, newest first: found in their bibliographies, which we read ourselves. ← the card

1. Construction and Analysis of Japanese Parent-Child Dialogic Reading Corpus for Conversational Agents — 2026 · Proceedings of the Fifteenth Language Resources and Evaluation Conference
2. DiFRa: A Unified Framework for Harmonizing Semantic Diversity and Factual Consistency in Question-Answer Generation — 2026 · Findings of the Association for Computational Linguistics: ACL 2026
3. LLMs for Now, Fine-Tuning for Later: An Ensemble Approach to Data Drift in Domain-Specific Tasks — 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 4: Student Research Workshop)
4. ReproNLP 2026: A Third Replication of the Human Evaluation of a QAG System for Children''s Storybooks — 2026 · Proceedings of the Fifth Workshop on Generation, Evaluation and Metrics (GEM)
5. The Shared Task on Reproducibility of Evaluations in NLP (ReproNLP) 2026: Overview and Results — 2026 · Proceedings of the Fifth Workshop on Generation, Evaluation and Metrics (GEM)
6. The 2025 ReproNLP Shared Task on Reproducibility of Evaluations in NLP: Overview and Results — 2025 · Proceedings of the Fourth Workshop on Generation, Evaluation and Metrics (GEM\texttwosuperior)
7. Chain-of-Exemplar: Enhancing Distractor Generation for Multimodal Educational Question Generation — 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
8. Explicit over Implict: Explicit Diversity Conditions for Effective Question Answer Generation — 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
9. Generative Interpretation: Toward Human-Like Evaluation for Educational Question-Answer Pair Generation — 2024 · Findings of the Association for Computational Linguistics: EACL 2024
10. Are Fairy Tales Fair? Analyzing Gender Bias in Temporal Narrative Event Chains of Children's Fairy Tales — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
11. Are Human Explanations Always Helpful? Towards Objective Evaluation of Human Natural Language Explanations — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
12. Are NLP Models Good at Tracing Thoughts: An Overview of Narrative Understanding — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
13. Beyond Labels: Empowering Human Annotators with Natural Language Explanations through a Novel Active-Learning Architecture — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
14. Closed-book Question Generation via Contrastive Learning — 2023 · Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics
15. Comparing Neural Question Generation Architectures for Reading Comprehension — 2023 · Proceedings of the 18th Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2023)
16. Diversify Question Generation with Retrieval-Augmented Style Transfer — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
17. Improving Reading Comprehension Question Generation with Data Augmentation and Overgenerate-and-rank — 2023 · Proceedings of the 18th Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2023)
18. PaniniQA: Enhancing Patient Education Through Interactive Question Answering — 2023 · Transactions of the Association for Computational Linguistics
19. QAmeleon: Multilingual QA with Only 5 Examples — 2023 · Transactions of the Association for Computational Linguistics
20. SkillQG: Learning to Generate Question for Reading Comprehension Assessment — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
21. Towards Diverse and Effective Question-Answer Pair Generation from Children Storybooks — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
22. `Don''t Get Too Technical with Me'': A Discourse Structure-Based Framework for Automatic Science Journalism — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
23. Fantastic Questions and Where to Find Them: FairytaleQA – An Authentic Dataset for Narrative Comprehension — our card · 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
24. berruti-2024-automatic-crossword-clues-extraction-language
25. ding-2024-sgcm-salience-guided-context-modeling
26. hurlimann-2026-reprohum-0031-01-reproducing-human
27. jang-2025-chatbot-help-patients-understand-their
28. javaji-2025-what-would-you-ask-when
29. jin-2024-select-high-quality-synthetic-qa
30. kao-2022-applying-information-extraction-storybook-question
31. preda-2026-automated-extraction-answer-candidates-question
32. yoon-2023-diversity-enhanced-narrative-question-generation

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