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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

Pages: 1 · 2

  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. 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)
  3. A Systematic Survey of Semantic Role Labeling in the Era of Pretrained Language Models — 2025 · arXiv:2502.08660
  4. 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
  5. 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)
  6. 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)
  7. A Survey on Open Information Extraction from Rule-based Model to Large Language Model — 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024
  8. 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)
  9. 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)
  10. 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)
  11. 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)
  12. QAEVENT: Event Extraction as Question-Answer Pairs Generation — 2024 · Findings of the Association for Computational Linguistics: EACL 2024
  13. 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)
  14. 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
  15. Conditional Generation with a Question-Answering Blueprint — 2023 · Transactions of the Association for Computational Linguistics
  16. 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
  17. Domain Incremental Lifelong Learning in an Open World — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
  18. Few-shot Adaptation Works with UnpredicTable Data — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  19. 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)
  20. Lifelong Sequence Generation with Dynamic Module Expansion and Adaptation — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
  21. 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)
  22. Preserving Knowledge Invariance: Rethinking Robustness Evaluation of Open Information Extraction — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
  23. PropSegmEnt: A Large-Scale Corpus for Proposition-Level Segmentation and Entailment Recognition — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
  24. QA-Adj: Adding Adjectives to QA-based Semantics — 2023 · Proceedings of the Fourth International Workshop on Designing Meaning Representations
  25. QA-NatVer: Question Answering for Natural Logic-based Fact Verification — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
  26. Verifying Annotation Agreement without Multiple Experts: A Case Study with Gujarati SNACS — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
  27. WiCE: Real-World Entailment for Claims in Wikipedia — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
  28. ZEROTOP: Zero-Shot Task-Oriented Semantic Parsing using Large Language Models — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
  29. A Question-Answer Driven Approach to Reveal Affirmative Interpretations from Verbal Negations — 2022 · Findings of the Association for Computational Linguistics: NAACL 2022
  30. An MRC Framework for Semantic Role Labeling — 2022 · Proceedings of the 29th International Conference on Computational Linguistics
  31. 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)
  32. CANarEx: Contextually Aware Narrative Extraction for Semantically Rich Text-as-data Applications — 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022
  33. Competence-based Question Generation — 2022 · Proceedings of the 29th International Conference on Computational Linguistics
  34. DeepStruct: Pretraining of Language Models for Structure Prediction — 2022 · Findings of the Association for Computational Linguistics: ACL 2022
  35. Do Text-to-Text Multi-Task Learners Suffer from Task Conflict? — 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022
  36. Eliciting and Understanding Cross-task Skills with Task-level Mixture-of-Experts — 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022
  37. Generating Literal and Implied Subquestions to Fact-check Complex Claims — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
  38. 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
  39. QASem Parsing: Text-to-text Modeling of QA-based Semantics — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
  40. Question Answering Infused Pre-training of General-Purpose Contextualized Representations — 2022 · Findings of the Association for Computational Linguistics: ACL 2022
  41. 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)
  42. SemEval-2022 Task 9: R2VQ – Competence-based Multimodal Question Answering — 2022 · Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval-2022)
  43. Semantic Role Labeling Meets Definition Modeling: Using Natural Language to Describe Predicate-Argument Structures — 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022
  44. Text-based NP Enrichment — 2022 · Transactions of the Association for Computational Linguistics
  45. Universal Semantic Annotator: the First Unified API for WSD, SRL and Semantic Parsing — 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference
  46. Asking It All: Generating Contextualized Questions for any Semantic Role — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  47. 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
  48. 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
  49. CrossFit: A Few-shot Learning Challenge for Cross-task Generalization in NLP — 2021 · arXiv:2104.08835
  50. DocOIE: A Document-level Context-Aware Dataset for OpenIE — 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021
  51. 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
  52. Finetuned Language Models Are Zero-Shot Learners — 2021 · arXiv:2109.01652
  53. 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
  54. Inducing Semantic Roles Without Syntax — 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021
  55. 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
  56. 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
  57. MetaICL: Learning to Learn In Context — 2021 · arXiv:2110.15943
  58. 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
  59. 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)
  60. 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
  61. Self Question-answering: Aspect-based Sentiment Analysis by Role Flipped Machine Reading Comprehension — 2021 · Findings of the Association for Computational Linguistics: EMNLP 2021
  62. 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
  63. 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
  64. WeaQA: Weak Supervision via Captions for Visual Question Answering — 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021
  65. Zero-Shot Information Extraction as a Unified Text-to-Triple Translation — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  66. Asking without Telling: Exploring Latent Ontologies in Contextual Representations — 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
  67. Bridging the Gap in Multilingual Semantic Role Labeling: a Language-Agnostic Approach — 2020 · Proceedings of the 28th International Conference on Computational Linguistics
  68. Controlled Crowdsourcing for High-Quality QA-SRL Annotation — our card · 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
  69. CorefQA: Coreference Resolution as Query-based Span Prediction — 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
  70. Distill and Replay for Continual Language Learning — 2020 · Proceedings of the 28th International Conference on Computational Linguistics
  71. 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
  72. 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
  73. Machine Knowledge: Creation and Curation of Comprehensive Knowledge Bases — 2020 · arXiv:2009.11564 (Foundations and Trends in Databases, 2021)
  74. QADiscourse - Discourse Relations as QA Pairs: Representation, Crowdsourcing and Baselines — 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
  75. QANom: Question-Answer driven SRL for Nominalizations — our card · 2020 · Proceedings of the 28th International Conference on Computational Linguistics
  76. QuASE: Question-Answer Driven Sentence Encoding — 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
  77. 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
  78. 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)
  79. ``Who said it, and Why?'''' Provenance for Natural Language Claims — 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
  80. pyBART: Evidence-based Syntactic Transformations for IE — our card · 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics: System Demonstrations
  81. 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)
  82. 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
  83. Improving Open Information Extraction via Iterative Rank-Aware Learning — 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics
  84. 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)
  85. 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)
  86. Translate and Label! An Encoder-Decoder Approach for Cross-lingual Semantic Role Labeling — 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)
  87. A Survey on Open Information Extraction — 2018 · Proceedings of the 27th International Conference on Computational Linguistics
  88. A task in a suit and a tie: paraphrase generation with semantic augmentation — 2018 · arXiv:1811.00119 · Association for the Advancement of Artificial Intelligence (AAAI) 2019
  89. Crowdsourcing Question-Answer Meaning Representations — our card · 2018 · Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 2 (Short Papers)
  90. Graphene: Semantically-Linked Propositions in Open Information Extraction — 2018 · Proceedings of the 27th International Conference on Computational Linguistics
  91. Large-Scale QA-SRL Parsing — our card · 2018 · Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  92. Learning Joint Semantic Parsers from Disjoint Data — 2018 · Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers)
  93. Learning To Split and Rephrase From Wikipedia Edit History — 2018 · Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing
  94. The Natural Language Decathlon: Multitask Learning as Question Answering — 2018 · arXiv:1806.08730
  95. Transforming Question Answering Datasets Into Natural Language Inference Datasets — 2018 · arXiv:1809.02922
  96. A Consolidated Open Knowledge Representation for Multiple Texts — 2017 · Proceedings of the 2nd Workshop on Linking Models of Lexical, Sentential and Discourse-level Semantics
  97. An Evaluation of PredPatt and Open IE via Stage 1 Semantic Role Labeling — 2017 · Proceedings of the 12th International Conference on Computational Semantics (IWCS) –- Short papers
  98. CROWD-IN-THE-LOOP: A Hybrid Approach for Annotating Semantic Roles — 2017 · Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing
  99. Importance sampling for unbiased on-demand evaluation of knowledge base population — 2017 · Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing
  100. Towards Linguistically Generalizable NLP Systems: A Workshop and Shared Task — 2017 · Proceedings of the First Workshop on Building Linguistically Generalizable NLP Systems

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