Who cites «Large-Scale QA-SRL Parsing»

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

1. Modelling Analogies and Analogical Reasoning: Connecting Cognitive Science Theory and NLP Research — 2026 · Transactions of the Association for Computational Linguistics
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. Semantic Bridge: Universal Multi-Hop Question Generation via AMR-Driven Graph Synthesis — 2025 · arXiv:2508.10013
4. A Survey on Open Information Extraction from Rule-based Model to Large Language Model — 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024
5. Explicating the Implicit: Argument Detection Beyond Sentence Boundaries — 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
6. Promptly Predicting Structures: The Return of Inference — 2024 · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)
7. QAEVENT: Event Extraction as Question-Answer Pairs Generation — 2024 · Findings of the Association for Computational Linguistics: EACL 2024
8. Dense Retrieval as Indirect Supervision for Large-space Decision Making — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
9. Design Choices for Crowdsourcing Implicit Discourse Relations: Revealing the Biases Introduced by Task Design — 2023
10. Peek Across: Improving Multi-Document Modeling via Cross-Document Question-Answering — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
11. Preserving Knowledge Invariance: Rethinking Robustness Evaluation of Open Information Extraction — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
12. PropSegmEnt: A Large-Scale Corpus for Proposition-Level Segmentation and Entailment Recognition — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
13. QA-Adj: Adding Adjectives to QA-based Semantics — 2023 · Proceedings of the Fourth International Workshop on Designing Meaning Representations
14. A Question-Answer Driven Approach to Reveal Affirmative Interpretations from Verbal Negations — 2022 · Findings of the Association for Computational Linguistics: NAACL 2022
15. Draw Me a Flower: Processing and Grounding Abstraction in Natural Language — 2022 · Transactions of the Association for Computational Linguistics
16. Life is a Circus and We are the Clowns: Automatically Finding Analogies between Situations and Processes — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
17. QASem Parsing: Text-to-text Modeling of QA-based Semantics — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
18. Semantic Role Labeling Meets Definition Modeling: Using Natural Language to Describe Predicate-Argument Structures — 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022
19. 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
20. ``What makes a question inquisitive?'''' A Study on Type-Controlled Inquisitive Question Generation — 2022 · Proceedings of the 11th Joint Conference on Lexical and Computational Semantics
21. Asking It All: Generating Contextualized Questions for any Semantic Role — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
22. Corpus-Level Evaluation for Event QA: The IndiaPoliceEvents Corpus Covering the 2002 Gujarat Violence — 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021
23. Foreseeing the Benefits of Incidental Supervision — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
24. Inducing Semantic Roles Without Syntax — 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021
25. LSOIE: A Large-Scale Dataset for Supervised Open Information Extraction — 2021 · Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume
26. PAQ: 65 Million Probably-Asked Questions and What You Can Do With Them — 2021 · Transactions of the Association for Computational Linguistics
27. QA-Align: Representing Cross-Text Content Overlap by Aligning Question-Answer Propositions — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
28. Sister Help: Data Augmentation for Frame-Semantic Role Labeling — 2021 · Proceedings of the Joint 15th Linguistic Annotation Workshop (LAW) and 3rd Designing Meaning Representations (DMR) Workshop
29. WeaQA: Weak Supervision via Captions for Visual Question Answering — 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021
30. What Did You Refer to? Evaluating Co-References in Dialogue — 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021
31. Asking without Telling: Exploring Latent Ontologies in Contextual Representations — 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
32. Break It Down: A Question Understanding Benchmark — 2020 · Transactions of the Association for Computational Linguistics
33. Controlled Crowdsourcing for High-Quality QA-SRL Annotation — our card · 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
34. Evaluating Factuality in Generation with Dependency-level Entailment — 2020 · Findings of the Association for Computational Linguistics: EMNLP 2020
35. Event Extraction as Machine Reading Comprehension — 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
36. Inquisitive Question Generation for High Level Text Comprehension — our card · 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
37. Leveraging Non-Specialists for Accurate and Time Efficient AMR Annotation — 2020 · Proceedings of the LREC 2020 Workshop on ``Citizen Linguistics in Language Resource Development
38. Linguistic Appropriateness and Pedagogic Usefulness of Reading Comprehension Questions — 2020 · Proceedings of the Twelfth Language Resources and Evaluation Conference
39. Machine Knowledge: Creation and Curation of Comprehensive Knowledge Bases — 2020 · arXiv:2009.11564 (Foundations and Trends in Databases, 2021)
40. QADiscourse - Discourse Relations as QA Pairs: Representation, Crowdsourcing and Baselines — 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
41. QANom: Question-Answer driven SRL for Nominalizations — our card · 2020 · Proceedings of the 28th International Conference on Computational Linguistics
42. QuASE: Question-Answer Driven Sentence Encoding — 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
43. Learning and Evaluating General Linguistic Intelligence — 2019 · arXiv:1901.11373
44. Machine Comprehension Improves Domain-Specific Japanese Predicate-Argument Structure Analysis — 2019 · Proceedings of the 2nd Workshop on Machine Reading for Question Answering
45. Semantic Role Labeling with Pretrained Language Models for Known and Unknown Predicates — 2019 · Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP 2019)
46. Understanding Roles and Entities: Datasets and Models for Natural Language Inference — 2019 · arXiv:1904.09720
47. Jointly Predicting Predicates and Arguments in Neural Semantic Role Labeling — 2018 · Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)
48. choi-2026-socratickg-knowledge-graph-construction-qa
49. davidov-2026-effective-qa-driven-annotation-predicate
50. elazar-2020-extraordinary-failure-complement-coercion-crowdsourcing
51. gold-2019-divide-extract-disentangling-clause-splitting
52. jiang-2020-novel-workflow-accurately-efficiently-crowdsourcing
53. li-2023-learning-semantic-role-labeling-compatible
54. michael-2023-case-scalable-data-driven-theory
55. mtumbuka-2022-syntactically-rich-discriminative-training-effective
56. raghav-2025-are-llms-good-semantic-role
57. tseytlin-2025-qa-noun-representing-nominal-semantics
58. yang-2023-bootstrapping-small-high-performance-language

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