Mova0.5 pre-release⌕
☰
home / docs / papers / cited-by / Who cites «Crowdsourcing Question-Answer Meaning Representations»

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

  1. Learning from Child-directed Speech in Two-language Scenarios: A French-English Case-Study — 2026 · Findings of the Association for Computational Linguistics: EACL 2026
  2. ASQ: Automatically Generating Question-Answer Pairs Using AMRs — 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 — 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024
  4. QA-based Event Start-Points Ordering for Clinical Temporal Relation Annotation — 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 — 2024 · Findings of the Association for Computational Linguistics: EACL 2024
  6. Covering Uncommon Ground: Gap-Focused Question Generation for Answer Assessment — 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? — 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 — 2023 · Proceedings of the Fourth International Workshop on Designing Meaning Representations
  9. QASem Parsing: Text-to-text Modeling of QA-based Semantics — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
  10. Question Answering Infused Pre-training of General-Purpose Contextualized Representations — 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 — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
  12. Comparing Test Sets with Item Response Theory — 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 — 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 — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  15. QA-Driven Zero-shot Slot Filling with Weak Supervision Pretraining — 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 — 2021 · arXiv:2111.01243
  17. SPARTQA: A Textual Question Answering Benchmark for Spatial Reasoning — 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 — 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 — 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
  20. Asking without Telling: Exploring Latent Ontologies in Contextual Representations — 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
  21. Break It Down: A Question Understanding Benchmark — 2020 · Transactions of the Association for Computational Linguistics
  22. Evaluating Factuality in Generation with Dependency-level Entailment — 2020 · Findings of the Association for Computational Linguistics: EMNLP 2020
  23. IMoJIE: Iterative Memory-Based Joint Open Information Extraction — 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? — 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
  25. Leveraging Non-Specialists for Accurate and Time Efficient AMR Annotation — 2020 · Proceedings of the LREC 2020 Workshop on ``Citizen Linguistics in Language Resource Development
  26. Machine Knowledge: Creation and Curation of Comprehensive Knowledge Bases — 2020 · arXiv:2009.11564 (Foundations and Trends in Databases, 2021)
  27. QADiscourse - Discourse Relations as QA Pairs: Representation, Crowdsourcing and Baselines — 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
  28. QANom: Question-Answer driven SRL for Nominalizations — our card · 2020 · Proceedings of the 28th International Conference on Computational Linguistics
  29. QuASE: Question-Answer Driven Sentence Encoding — 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
  30. TORQUE: A Reading Comprehension Dataset of Temporal Ordering Questions — our card · 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
  31. Domain-agnostic Question-Answering with Adversarial Training — 2019 · Proceedings of the 2nd Workshop on Machine Reading for Question Answering
  32. Machine Comprehension Improves Domain-Specific Japanese Predicate-Argument Structure Analysis — 2019 · Proceedings of the 2nd Workshop on Machine Reading for Question Answering
  33. Partial Or Complete, That's The Question — 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 — 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 — 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

This page in Markdown → https://md.mova.elamur.ai/free/en/docs/papers/cited-by/michael-2018-crowdsourcing-question-answer-meaning-representations/