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home / docs / papers / cited-by / Who cites «The NarrativeQA Reading Comprehension Challenge» · page 3

Who cites «The NarrativeQA Reading Comprehension Challenge» · page 3

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

Pages: 1 · 2 · 3 · 4 · 5

  1. TRUE: Re-evaluating Factual Consistency Evaluation — 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
  2. TVShowGuess: Character Comprehension in Stories as Speaker Guessing — 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
  3. TopiOCQA: Open-domain Conversational Question Answering with Topic Switching — 2022 · Transactions of the Association for Computational Linguistics
  4. Tracing Origins: Coreference-aware Machine Reading Comprehension — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  5. UL2: Unifying Language Learning Paradigms — 2022 · arXiv:2205.05131
  6. What Makes Reading Comprehension Questions Difficult? — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  7. A Dataset of Information-Seeking Questions and Answers Anchored in Research Papers — 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
  8. A Mutual Information Maximization Approach for the Spurious Solution Problem in Weakly Supervised Question Answering — 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)
  9. Benchmarking Machine Reading Comprehension: A Psychological Perspective — 2021 · Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume
  10. Beyond Paragraphs: NLP for Long Sequences — 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Tutorials
  11. English Machine Reading Comprehension Datasets: A Survey — our card · 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  12. Evaluation Paradigms in Question Answering — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  13. KPQA: A Metric for Generative Question Answering Using Keyphrase Weights — 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
  14. Language Model Augmented Relevance Score — 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)
  15. Leveraging Passage Retrieval with Generative Models for Open Domain Question Answering — 2021 · Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume
  16. MIMOQA: Multimodal Input Multimodal Output Question Answering — 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
  17. Memory-efficient Transformers via Top-k Attention — 2021 · Proceedings of the Second Workshop on Simple and Efficient Natural Language Processing
  18. MetaICL: Learning to Learn In Context — 2021 · arXiv:2110.15943
  19. NLQuAD: A Non-Factoid Long Question Answering Data Set — 2021 · Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume
  20. Narrative Question Answering with Cutting-Edge Open-Domain QA Techniques: A Comprehensive Study — 2021 · Transactions of the Association for Computational Linguistics
  21. PROST: Physical Reasoning about Objects through Space and Time — 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021
  22. Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Language Processing — 2021 · arXiv:2107.13586
  23. ReadTwice: Reading Very Large Documents with Memories — 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
  24. Recursively Summarizing Books with Human Feedback — 2021 · arXiv:2109.10862
  25. SemEval-2021 Task 4: Reading Comprehension of Abstract Meaning — 2021 · Proceedings of the 15th International Workshop on Semantic Evaluation (SemEval-2021)
  26. Sorting through the noise: Testing robustness of information processing in pre-trained language models — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  27. Synthetic Data Augmentation for Zero-Shot Cross-Lingual Question Answering — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  28. TellMeWhy: A Dataset for Answering Why-Questions in Narratives — our card · 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021
  29. The GEM Benchmark: Natural Language Generation, its Evaluation and Metrics — 2021 · Proceedings of the First Workshop on Natural Language Generation, Evaluation, and Metrics (GEM)
  30. A guide to the dataset explosion in QA, NLI, and commonsense reasoning — our card · 2020 · Proceedings of the 28th International Conference on Computational Linguistics: Tutorial Abstracts
  31. Beat the AI: Investigating Adversarial Human Annotation for Reading Comprehension — 2020
  32. Beyond Leaderboards: A survey of methods for revealing weaknesses in Natural Language Inference data and models — 2020 · arXiv:2005.14709
  33. Connecting the Dots: Event Graph Schema Induction with Path Language Modeling — 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
  34. Conversational Question Answering in Low Resource Scenarios: A Dataset and Case Study for Basque — 2020 · Proceedings of the Twelfth Language Resources and Evaluation Conference
  35. Dice Loss for Data-imbalanced NLP Tasks — 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
  36. DoQA - Accessing Domain-Specific FAQs via Conversational QA — 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
  37. Dynamic Sampling Strategies for Multi-Task Reading Comprehension — 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
  38. Easy, Reproducible and Quality-Controlled Data Collection with CROWDAQ — 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing: System Demonstrations
  39. Frustratingly Hard Evidence Retrieval for QA Over Books — 2020 · Proceedings of the First Joint Workshop on Narrative Understanding, Storylines, and Events
  40. Improving Conversational Question Answering Systems after Deployment using Feedback-Weighted Learning — 2020 · Proceedings of the 28th International Conference on Computational Linguistics
  41. Is Killed More Significant than Fled? A Contextual Model for Salient Event Detection — 2020 · Proceedings of the 28th International Conference on Computational Linguistics
  42. Linguistic Appropriateness and Pedagogic Usefulness of Reading Comprehension Questions — 2020 · Proceedings of the Twelfth Language Resources and Evaluation Conference
  43. LiveQA: A Question Answering Dataset over Sports Live — 2020 · Proceedings of the 19th Chinese National Conference on Computational Linguistics
  44. LogiQA: A Challenge Dataset for Machine Reading Comprehension with Logical Reasoning — 2020 · arXiv:2007.08124
  45. Long Range Arena: A Benchmark for Efficient Transformers — 2020 · arXiv:2011.04006
  46. Molweni: A Challenge Multiparty Dialogues-based Machine Reading Comprehension Dataset with Discourse Structure — 2020 · Proceedings of the 28th International Conference on Computational Linguistics
  47. Multi-hop Inference for Question-driven Summarization — 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
  48. Probabilistic Assumptions Matter: Improved Models for Distantly-Supervised Document-Level Question Answering — 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
  49. Question Answering with Long Multiple-Span Answers — 2020 · Findings of the Association for Computational Linguistics: EMNLP 2020
  50. R4C: A Benchmark for Evaluating RC Systems to Get the Right Answer for the Right Reason — 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
  51. ReClor: A Reading Comprehension Dataset Requiring Logical Reasoning — 2020 · arXiv:2002.04326
  52. Recurrent Chunking Mechanisms for Long-Text Machine Reading Comprehension — 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
  53. Scene Restoring for Narrative Machine Reading Comprehension — 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
  54. ScholarlyRead: A New Dataset for Scientific Article Reading Comprehension — 2020 · Proceedings of the Twelfth Language Resources and Evaluation Conference
  55. The TechQA Dataset — 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
  56. To Test Machine Comprehension, Start by Defining Comprehension — 2020 · arXiv:2005.01525
  57. Towards building a Robust Industry-scale Question Answering System — 2020 · Proceedings of the 28th International Conference on Computational Linguistics: Industry Track
  58. Transformers to Learn Hierarchical Contexts in Multiparty Dialogue for Span-based Question Answering — 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
  59. UNIFIEDQA: Crossing Format Boundaries with a Single QA System — 2020 · Findings of the Association for Computational Linguistics: EMNLP 2020
  60. Unsupervised Commonsense Question Answering with Self-Talk — 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
  61. 基于多任务学习的生成式阅读理解(Generative Reading Comprehension via Multi-task Learning) — 2020 · Proceedings of the 19th Chinese National Conference on Computational Linguistics
  62. 基于神经网络的机器阅读理解综述 — 2020 · 软件学报 (Journal of Software)
  63. A Discrete Hard EM Approach for Weakly Supervised Question Answering — 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)
  64. A Qualitative Comparison of CoQA, SQuAD 2.0 and QuAC — 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)
  65. Asking the Right Question: Inferring Advice-Seeking Intentions from Personal Narratives — 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)
  66. BAG: Bi-directional Attention Entity Graph Convolutional Network for Multi-hop Reasoning Question Answering — 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)
  67. BERT Post-Training for Review Reading Comprehension and Aspect-based Sentiment Analysis — 2019 · arXiv:1904.02232
  68. Bend but Don't Break? Multi-Challenge Stress Test for QA Models — 2019 · Proceedings of the 2nd Workshop on Machine Reading for Question Answering
  69. BiPaR: A Bilingual Parallel Dataset for Multilingual and Cross-lingual Reading Comprehension on Novels — 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)
  70. ComQA: A Community-sourced Dataset for Complex Factoid Question Answering with Paraphrase Clusters — 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)
  71. Compositional Questions Do Not Necessitate Multi-hop Reasoning — 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics
  72. Comprehensive Multi-Dataset Evaluation of Reading Comprehension — 2019 · Proceedings of the 2nd Workshop on Machine Reading for Question Answering
  73. Compressive Transformers for Long-Range Sequence Modelling — 2019 · arXiv:1911.05507
  74. Cosmos QA: Machine Reading Comprehension with Contextual Commonsense Reasoning — our card · 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)
  75. DREAM: A Challenge Data Set and Models for Dialogue-Based Reading Comprehension — 2019 · Transactions of the Association for Computational Linguistics
  76. DROP: A Reading Comprehension Benchmark Requiring Discrete Reasoning Over Paragraphs — our card · 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)
  77. Dialog State Tracking: A Neural Reading Comprehension Approach — 2019 · Proceedings of the 20th Annual SIGdial Meeting on Discourse and Dialogue
  78. Discourse-Aware Semantic Self-Attention for Narrative Reading Comprehension — 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)
  79. ELI5: Long Form Question Answering — 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics
  80. Evaluating Question Answering Evaluation — 2019 · Proceedings of the 2nd Workshop on Machine Reading for Question Answering
  81. Evidence Sentence Extraction for Machine Reading Comprehension — 2019 · Proceedings of the 23rd Conference on Computational Natural Language Learning (CoNLL)
  82. Extractive NarrativeQA with Heuristic Pre-Training — 2019 · Proceedings of the 2nd Workshop on Machine Reading for Question Answering
  83. Improving Machine Reading Comprehension with General Reading Strategies — 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)
  84. Investigating Prior Knowledge for Challenging Chinese Machine Reading Comprehension — 2019 · arXiv:1904.09679
  85. Learning to Ask Unanswerable Questions for Machine Reading Comprehension — 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics
  86. Learning with Limited Data for Multilingual Reading Comprehension — 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. MCScript2.0: A Machine Comprehension Corpus Focused on Script Events and Participants — 2019 · Proceedings of the Eighth Joint Conference on Lexical and Computational Semantics (*SEM 2019)
  88. Movie Plot Analysis via Turning Point Identification — 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)
  89. Multi-hop Reading Comprehension across Multiple Documents by Reasoning over Heterogeneous Graphs — 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics
  90. Multi-style Generative Reading Comprehension — 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics
  91. On Making Reading Comprehension More Comprehensive — 2019 · Proceedings of the 2nd Workshop on Machine Reading for Question Answering
  92. Question Answering by Reasoning Across Documents with Graph Convolutional Networks — 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)
  93. Question Answering for Privacy Policies: Combining Computational and Legal Perspectives — 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)
  94. Question Answering in the Biomedical Domain — 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop
  95. Reading Turn by Turn: Hierarchical Attention Architecture for Spoken Dialogue Comprehension — 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics
  96. Recent Advances in Natural Language Inference: A Survey of Benchmarks, Resources, and Approaches — 2019 · arXiv:1904.01172
  97. Restoring ancient text using deep learning: a case study on Greek epigraphy — 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)
  98. Simple and Effective Curriculum Pointer-Generator Networks for Reading Comprehension over Long Narratives — 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics
  99. TWEETQA: A Social Media Focused Question Answering Dataset — 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics
  100. A Knowledge Hunting Framework for Common Sense Reasoning — 2018 · Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing

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