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Who cites «Question-Answer Driven Semantic Role Labeling: Using Natural Language to Annotate Natural Language»

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

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  1. Effective QA-Driven Annotation of Predicate–Argument Relations Across Languages — 2026 · Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)
  2. Learning from Child-directed Speech in Two-language Scenarios: A French-English Case-Study — 2026 · Findings of the Association for Computational Linguistics: EACL 2026
  3. A Survey of QUD Models for 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. A Systematic Survey of Semantic Role Labeling in the Era of Pretrained Language Models — 2025 · arXiv:2502.08660
  5. 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
  6. Are LLMs Good for Semantic Role Labeling via Question Answering?: A Preliminary Analysis — 2025 · The 14th International Joint Conference on Natural Language Processing and The 4th Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics
  7. Beyond Output Matching: Bidirectional Alignment for Enhanced In-Context Learning — 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  8. Injecting Frame Semantics into Large Language Models via Prompt-Based Fine-Tuning — 2025 · Proceedings of the 14th Joint Conference on Lexical and Computational Semantics (*SEM 2025)
  9. Prototype Conditioned Generative Replay for Continual Learning in NLP — 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)
  10. QA-Noun: Representing Nominal Semantics via Natural Language Question-Answer Pairs — 2025 · Proceedings of the 14th International Joint Conference on Natural Language Processing and the 4th Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics
  11. A Survey on Open Information Extraction from Rule-based Model to Large Language Model — 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024
  12. Asking and Answering Questions to Extract Event-Argument Structures — 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
  13. BenchIE\textasciicircumFL: A Manually Re-Annotated Fact-Based Open Information Extraction Benchmark — 2024 · Findings of the Association for Computational Linguistics: ACL 2024
  14. 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)
  15. Investigating the Generalizability of Pretrained Language Models across Multiple Dimensions: A Case Study of NLI and MRC — 2024 · Proceedings of the 2nd GenBench Workshop on Generalisation (Benchmarking) in NLP
  16. OMoS-QA: A Dataset for Cross-Lingual Extractive Question Answering in a German Migration Context — 2024 · Proceedings of the 20th Conference on Natural Language Processing (KONVENS 2024)
  17. 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)
  18. 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)
  19. QAEVENT: Event Extraction as Question-Answer Pairs Generation — 2024 · Findings of the Association for Computational Linguistics: EACL 2024
  20. SAC-KG: Exploiting Large Language Models as Skilled Automatic Constructors for Domain Knowledge Graph — 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  21. Semantic Role Labeling from Chinese Speech via End-to-End Learning — 2024 · Findings of the Association for Computational Linguistics: ACL 2024
  22. TransAlign: An Automated Corpus Generation through Cross-Linguistic Data Alignment for Open Information Extraction — 2024 · Proceedings of the 16th International Conference on Computational Processing of Portuguese - Vol. 1
  23. Bootstrapping Small & High Performance Language Models with Unmasking-Removal Training Policy — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
  24. Conditional Generation with a Question-Answering Blueprint — 2023 · Transactions of the Association for Computational Linguistics
  25. Discourse Analysis via Questions and Answers: Parsing Dependency Structures of Questions Under Discussion — our card · 2023 · Findings of the Association for Computational Linguistics: ACL 2023
  26. Domain Incremental Lifelong Learning in an Open World — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
  27. Few-shot Adaptation Works with UnpredicTable Data — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  28. Learning to Initialize: Can Meta Learning Improve Cross-task Generalization in Prompt Tuning? — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  29. Lifelong Sequence Generation with Dynamic Module Expansion and Adaptation — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
  30. My side, your side and the evidence: Discovering aligned actor groups and the narratives they weave — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  31. 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)
  32. Preserving Knowledge Invariance: Rethinking Robustness Evaluation of Open Information Extraction — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
  33. PropSegmEnt: A Large-Scale Corpus for Proposition-Level Segmentation and Entailment Recognition — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
  34. QA-Adj: Adding Adjectives to QA-based Semantics — 2023 · Proceedings of the Fourth International Workshop on Designing Meaning Representations
  35. QA-NatVer: Question Answering for Natural Logic-based Fact Verification — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
  36. The Case for Scalable, Data-Driven Theory: A Paradigm for Scientific Progress in NLP — 2023 · Proceedings of the Big Picture Workshop
  37. Verifying Annotation Agreement without Multiple Experts: A Case Study with Gujarati SNACS — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
  38. WiCE: Real-World Entailment for Claims in Wikipedia — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
  39. ZEROTOP: Zero-Shot Task-Oriented Semantic Parsing using Large Language Models — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
  40. A Question-Answer Driven Approach to Reveal Affirmative Interpretations from Verbal Negations — 2022 · Findings of the Association for Computational Linguistics: NAACL 2022
  41. A Semantics-Aware Approach to Automated Claim Verification — 2022 · Proceedings of the Fifth Fact Extraction and VERification Workshop (FEVER)
  42. An MRC Framework for Semantic Role Labeling — 2022 · Proceedings of the 29th International Conference on Computational Linguistics
  43. BenchIE: A Framework for Multi-Faceted Fact-Based Open Information Extraction Evaluation — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  44. CANarEx: Contextually Aware Narrative Extraction for Semantically Rich Text-as-data Applications — 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022
  45. Competence-based Question Generation — 2022 · Proceedings of the 29th International Conference on Computational Linguistics
  46. DeepStruct: Pretraining of Language Models for Structure Prediction — 2022 · Findings of the Association for Computational Linguistics: ACL 2022
  47. Different Tunes Played with Equal Skill: Exploring a Unified Optimization Subspace for Parameter-Efficient Tuning — 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022
  48. Do Text-to-Text Multi-Task Learners Suffer from Task Conflict? — 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022
  49. Eliciting and Understanding Cross-task Skills with Task-level Mixture-of-Experts — 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022
  50. Generating Literal and Implied Subquestions to Fact-check Complex Claims — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
  51. Heroes, Villains, and Victims, and GPT-3: Automated Extraction of Character Roles Without Training Data — 2022 · Proceedings of the 4th Workshop of Narrative Understanding (WNU2022)
  52. LMTurk: Few-Shot Learners as Crowdsourcing Workers in a Language-Model-as-a-Service Framework — 2022 · Findings of the Association for Computational Linguistics: NAACL 2022
  53. QASem Parsing: Text-to-text Modeling of QA-based Semantics — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
  54. Question Answering Infused Pre-training of General-Purpose Contextualized Representations — 2022 · Findings of the Association for Computational Linguistics: ACL 2022
  55. SRL4E – Semantic Role Labeling for Emotions: A Unified Evaluation Framework — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  56. SemEval-2022 Task 9: R2VQ – Competence-based Multimodal Question Answering — 2022 · Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval-2022)
  57. Semantic Role Labeling Meets Definition Modeling: Using Natural Language to Describe Predicate-Argument Structures — 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022
  58. Text-based NP Enrichment — 2022 · Transactions of the Association for Computational Linguistics
  59. Universal Semantic Annotator: the First Unified API for WSD, SRL and Semantic Parsing — 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference
  60. Asking It All: Generating Contextualized Questions for any Semantic Role — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  61. Can predicate-argument relationships be extracted from UD trees? — our card · 2021 · Proceedings of the Joint 15th Linguistic Annotation Workshop (LAW) and 3rd Designing Meaning Representations (DMR) Workshop
  62. 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
  63. CrossFit: A Few-shot Learning Challenge for Cross-task Generalization in NLP — 2021 · arXiv:2104.08835
  64. DocOIE: A Document-level Context-Aware Dataset for OpenIE — 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021
  65. 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
  66. Finetuned Language Models Are Zero-Shot Learners — 2021 · arXiv:2109.01652
  67. InVeRo-XL: Making Cross-Lingual Semantic Role Labeling Accessible with Intelligible Verbs and Roles — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing: System Demonstrations
  68. Inducing Semantic Roles Without Syntax — 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021
  69. 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
  70. Learning Syntax from Naturally-Occurring Bracketings — 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
  71. MetaICL: Learning to Learn In Context — 2021 · arXiv:2110.15943
  72. 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
  73. 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)
  74. ReadOnce Transformers: Reusable Representations of Text for Transformers — 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)
  75. 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
  76. Self Question-answering: Aspect-based Sentiment Analysis by Role Flipped Machine Reading Comprehension — 2021 · Findings of the Association for Computational Linguistics: EMNLP 2021
  77. Self-Supervised Test-Time Learning for Reading Comprehension — 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
  78. UniteD-SRL: A Unified Dataset for Span- and Dependency-Based Multilingual and Cross-Lingual Semantic Role Labeling — 2021 · Findings of the Association for Computational Linguistics: EMNLP 2021
  79. WeaQA: Weak Supervision via Captions for Visual Question Answering — 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021
  80. Zero-Shot Information Extraction as a Unified Text-to-Triple Translation — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  81. A Novel Workflow for Accurately and Efficiently Crowdsourcing Predicate Senses and Argument Labels — 2020 · Findings of the Association for Computational Linguistics: EMNLP 2020
  82. Asking without Telling: Exploring Latent Ontologies in Contextual Representations — 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
  83. Automated Graph Generation at Sentence Level for Reading Comprehension Based on Conceptual Graphs — 2020 · Proceedings of the 28th International Conference on Computational Linguistics
  84. Bridging the Gap in Multilingual Semantic Role Labeling: a Language-Agnostic Approach — 2020 · Proceedings of the 28th International Conference on Computational Linguistics
  85. Controlled Crowdsourcing for High-Quality QA-SRL Annotation — our card · 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
  86. CorefQA: Coreference Resolution as Query-based Span Prediction — 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
  87. Distill and Replay for Continual Language Learning — 2020 · Proceedings of the 28th International Conference on Computational Linguistics
  88. InVeRo: Making Semantic Role Labeling Accessible with Intelligible Verbs and Roles — 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing: System Demonstrations
  89. 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
  90. Machine Knowledge: Creation and Curation of Comprehensive Knowledge Bases — 2020 · arXiv:2009.11564 (Foundations and Trends in Databases, 2021)
  91. QADiscourse - Discourse Relations as QA Pairs: Representation, Crowdsourcing and Baselines — 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
  92. QANom: Question-Answer driven SRL for Nominalizations — our card · 2020 · Proceedings of the 28th International Conference on Computational Linguistics
  93. QuASE: Question-Answer Driven Sentence Encoding — 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
  94. Speak to your Parser: Interactive Text-to-SQL with Natural Language Feedback — 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
  95. Syntactic and Semantic-driven Learning for Open Information Extraction — 2020 · Findings of the Association for Computational Linguistics: EMNLP 2020
  96. 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)
  97. ``Who said it, and Why?'''' Provenance for Natural Language Claims — 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
  98. pyBART: Evidence-based Syntactic Transformations for IE — our card · 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics: System Demonstrations
  99. CaRB: A Crowdsourced Benchmark for Open IE — 2019 · Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)
  100. Combining Knowledge Hunting and Neural Language Models to Solve the Winograd Schema Challenge — 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics

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