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# Who cites «Crowdsourcing Question-Answer Meaning Representations»

44 papers of our library cite it, newest first: found in their bibliographies, which we read ourselves. [← the card](https://md.mova.elamur.ai/free/en/docs/papers/michael-2018-crowdsourcing-question-answer-meaning-representations/)

1. [Learning from Child-directed Speech in Two-language Scenarios: A French-English Case-Study](https://aclanthology.org/2026.findings-eacl.337/) *— 2026 · Findings of the Association for Computational Linguistics: EACL 2026*
2. [ASQ: Automatically Generating Question-Answer Pairs Using AMRs](https://aclanthology.org/2025.ranlp-1.115/) *— 2025 · Proceedings of the 15th International Conference on Recent Advances in Natural Language Processing - Natural Language Processing in the Generative AI Era*
3. [A Survey on Open Information Extraction from Rule-based Model to Large Language Model](https://aclanthology.org/2024.findings-emnlp.560/) *— 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024*
4. [QA-based Event Start-Points Ordering for Clinical Temporal Relation Annotation](https://aclanthology.org/2024.lrec-main.1171/) *— 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)*
5. [QAEVENT: Event Extraction as Question-Answer Pairs Generation](https://aclanthology.org/2024.findings-eacl.126/) *— 2024 · Findings of the Association for Computational Linguistics: EACL 2024*
6. [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)*
7. [Do Question Answering Modeling Improvements Hold Across Benchmarks?](https://aclanthology.org/2023.acl-long.736/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
8. [QA-Adj: Adding Adjectives to QA-based Semantics](https://aclanthology.org/2023.dmr-1.8/) *— 2023 · Proceedings of the Fourth International Workshop on Designing Meaning Representations*
9. [QASem Parsing: Text-to-text Modeling of QA-based Semantics](https://aclanthology.org/2022.emnlp-main.528/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
10. [Question Answering Infused Pre-training of General-Purpose Contextualized Representations](https://aclanthology.org/2022.findings-acl.59/) *— 2022 · Findings of the Association for Computational Linguistics: ACL 2022*
11. [Transfer Learning from Semantic Role Labeling to Event Argument Extraction with Template-based Slot Querying](https://aclanthology.org/2022.emnlp-main.169/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
12. [Comparing Test Sets with Item Response Theory](https://aclanthology.org/2021.acl-long.92/) *— 2021 · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)*
13. [Event-Centric Natural Language Processing](https://aclanthology.org/2021.acl-tutorials.2/) *— 2021 · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing: Tutorial Abstracts*
14. [Foreseeing the Benefits of Incidental Supervision](https://aclanthology.org/2021.emnlp-main.134/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
15. [QA-Driven Zero-shot Slot Filling with Weak Supervision Pretraining](https://aclanthology.org/2021.acl-short.83/) *— 2021 · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 2: Short Papers)*
16. [Recent Advances in Natural Language Processing via Large Pre-Trained Language Models: A Survey](https://arxiv.org/abs/2111.01243) *— 2021 · arXiv:2111.01243*
17. [SPARTQA: A Textual Question Answering Benchmark for Spatial Reasoning](https://md.mova.elamur.ai/free/en/docs/papers/mirzaee-2021-spartqa-textual-question-answering-benchmark/) *— our card · 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
18. [Zero-shot Event Extraction via Transfer Learning: Challenges and Insights](https://aclanthology.org/2021.acl-short.42/) *— 2021 · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 2: Short Papers)*
19. [AmbigQA: Answering Ambiguous Open-domain Questions](https://aclanthology.org/2020.emnlp-main.466/) *— 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)*
20. [Asking without Telling: Exploring Latent Ontologies in Contextual Representations](https://aclanthology.org/2020.emnlp-main.552/) *— 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)*
21. [Break It Down: A Question Understanding Benchmark](https://aclanthology.org/2020.tacl-1.13/) *— 2020 · Transactions of the Association for Computational Linguistics*
22. [Evaluating Factuality in Generation with Dependency-level Entailment](https://aclanthology.org/2020.findings-emnlp.322/) *— 2020 · Findings of the Association for Computational Linguistics: EMNLP 2020*
23. [IMoJIE: Iterative Memory-Based Joint Open Information Extraction](https://aclanthology.org/2020.acl-main.521/) *— 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics*
24. [Intermediate-Task Transfer Learning with Pretrained Language Models: When and Why Does It Work?](https://aclanthology.org/2020.acl-main.467/) *— 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics*
25. [Leveraging Non-Specialists for Accurate and Time Efficient AMR Annotation](https://aclanthology.org/2020.cllrd-1.5/) *— 2020 · Proceedings of the LREC 2020 Workshop on ``Citizen Linguistics in Language Resource Development*
26. [Machine Knowledge: Creation and Curation of Comprehensive Knowledge Bases](https://arxiv.org/abs/2009.11564) *— 2020 · arXiv:2009.11564 (Foundations and Trends in Databases, 2021)*
27. [QADiscourse - Discourse Relations as QA Pairs: Representation, Crowdsourcing and Baselines](https://aclanthology.org/2020.emnlp-main.224/) *— 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)*
28. [QANom: Question-Answer driven SRL for Nominalizations](https://md.mova.elamur.ai/free/en/docs/papers/klein-2020-qanom-question-answer-driven-srl/) *— our card · 2020 · Proceedings of the 28th International Conference on Computational Linguistics*
29. [QuASE: Question-Answer Driven Sentence Encoding](https://aclanthology.org/2020.acl-main.772/) *— 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics*
30. [TORQUE: A Reading Comprehension Dataset of Temporal Ordering Questions](https://md.mova.elamur.ai/free/en/docs/papers/ning-2020-torque-reading-comprehension-dataset-temporal/) *— our card · 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)*
31. [Domain-agnostic Question-Answering with Adversarial Training](https://aclanthology.org/D19-5826/) *— 2019 · Proceedings of the 2nd Workshop on Machine Reading for Question Answering*
32. [Machine Comprehension Improves Domain-Specific Japanese Predicate-Argument Structure Analysis](https://aclanthology.org/D19-5814/) *— 2019 · Proceedings of the 2nd Workshop on Machine Reading for Question Answering*
33. [Partial Or Complete, That's The Question](https://aclanthology.org/N19-1227/) *— 2019 · Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers)*
34. [Large-Scale QA-SRL Parsing](https://md.mova.elamur.ai/free/en/docs/papers/fitzgerald-2018-large-scale-qa-srl-parsing/) *— our card · 2018 · Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
35. [Transforming Question Answering Datasets Into Natural Language Inference Datasets](https://arxiv.org/abs/1809.02922) *— 2018 · arXiv:1809.02922*
36. gold-2019-divide-extract-disentangling-clause-splitting
37. kearns-2019-uw-bhi-mediqa-2019-analysis
38. li-2024-ug-schematic-annotation-event-nominals
39. lin-2021-readonce-transformers-reusable-representations-text
40. michael-2023-case-scalable-data-driven-theory
41. papadopoulos-2022-farfetched-entity-centric-reasoning-claim
42. stanovsky-2018-supervised-open-information-extraction
43. tseytlin-2025-qa-noun-representing-nominal-semantics
44. yang-2023-bootstrapping-small-high-performance-language
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