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home / docs / papers / cited-by / Who cites «Towards AI-Complete Question Answering: A Set of Prerequisite Toy Tasks» · page 2

Who cites «Towards AI-Complete Question Answering: A Set of Prerequisite Toy Tasks» · page 2

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

Pages: 1 · 2 · 3 · 4

  1. Transfer Learning with Synthetic Corpora for Spatial Role Labeling and Reasoning — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
  2. A Long Short-Term Memory for AI Applications in Spike-based Neuromorphic Hardware — 2021 · arXiv:2107.03992
  3. Action-Based Conversations Dataset: A Corpus for Building More In-Depth Task-Oriented Dialogue Systems — 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
  4. 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
  5. Database reasoning over text — 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)
  6. Decoding Methods for Neural Narrative Generation — 2021 · Proceedings of the First Workshop on Natural Language Generation, Evaluation, and Metrics (GEM)
  7. English Machine Reading Comprehension Datasets: A Survey — our card · 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  8. Evaluation Paradigms in Question Answering — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  9. GRICE: A Grammar-based Dataset for Recovering Implicature and Conversational rEasoning — our card · 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021
  10. General-Purpose Question-Answering with Macaw — 2021 · arXiv:2109.02593
  11. Knowledge-driven Natural Language Understanding of English Text and its Applications — 2021 · arXiv:2101.11707
  12. PonderNet: Learning to Ponder — 2021 · arXiv:2107.05407
  13. Pretrain-Finetune Based Training of Task-Oriented Dialogue Systems in a Real-World Setting — 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Industry Papers
  14. Probabilistic Graph Reasoning for Natural Proof Generation — 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021
  15. RuleBERT: Teaching Soft Rules to Pre-Trained Language Models — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  16. 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
  17. 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
  18. Textual Time Travel: A Temporally Informed Approach to Theory of Mind — 2021 · Findings of the Association for Computational Linguistics: EMNLP 2021
  19. Time-Stamped Language Model: Teaching Language Models to Understand The Flow of Events — 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
  20. multiPRover: Generating Multiple Proofs for Improved Interpretability in Rule Reasoning — 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
  21. A Dataset for Statutory Reasoning in Tax Law Entailment and Question Answering — 2020 · arXiv:2005.05257
  22. A Dataset for Tracking Entities in Open Domain Procedural Text — 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
  23. Are Pretrained Language Models Symbolic Reasoners over Knowledge? — 2020 · Proceedings of the 24th Conference on Computational Natural Language Learning
  24. Climbing towards NLU: On Meaning, Form, and Understanding in the Age of Data — 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
  25. DeSePtion: Dual Sequence Prediction and Adversarial Examples for Improved Fact-Checking — 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
  26. HybridQA: A Dataset of Multi-Hop Question Answering over Tabular and Textual Data — 2020 · arXiv:2004.07347
  27. INT: An Inequality Benchmark for Evaluating Generalization in Theorem Proving — 2020 · arXiv:2007.02924
  28. Improving Conversational Question Answering Systems after Deployment using Feedback-Weighted Learning — 2020 · Proceedings of the 28th International Conference on Computational Linguistics
  29. LifeQA: A Real-life Dataset for Video Question Answering — 2020 · Proceedings of the Twelfth Language Resources and Evaluation Conference
  30. Linguistic Appropriateness and Pedagogic Usefulness of Reading Comprehension Questions — 2020 · Proceedings of the Twelfth Language Resources and Evaluation Conference
  31. PRover: Proof Generation for Interpretable Reasoning over Rules — 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
  32. Rethinking Supervised Learning and Reinforcement Learning in Task-Oriented Dialogue Systems — 2020 · Findings of the Association for Computational Linguistics: EMNLP 2020
  33. Scalable Neural Methods for Reasoning With a Symbolic Knowledge Base — 2020 · arXiv:2002.06115
  34. The Margarita Dialogue Corpus: A Data Set for Time-Offset Interactions and Unstructured Dialogue Systems — 2020 · Proceedings of the Twelfth Language Resources and Evaluation Conference
  35. To Test Machine Comprehension, Start by Defining Comprehension — 2020 · arXiv:2005.01525
  36. Towards Transparent and Explainable Attention Models — 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
  37. Transformers as Soft Reasoners over Language — 2020 · arXiv:2002.05867
  38. Understanding Procedural Text using Interactive Entity Networks — 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
  39. Video2Commonsense: Generating Commonsense Descriptions to Enrich Video Captioning — 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
  40. Zero-Shot Transfer Learning with Synthesized Data for Multi-Domain Dialogue State Tracking — 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
  41. 應用多跳躍注意記憶關聯於記憶網路之研究 (A Research of Applying Multi-hop Attention and Memory Relations on Memory Networks) — 2020
  42. Analysing Mathematical Reasoning Abilities of Neural Models — 2019 · arXiv:1904.01557
  43. Answering Naturally: Factoid to Full length Answer Generation — 2019 · Proceedings of the 2nd Workshop on New Frontiers in Summarization
  44. Are Red Roses Red? Evaluating Consistency of Question-Answering Models — 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics
  45. Assessing the Benchmarking Capacity of Machine Reading Comprehension Datasets — 2019 · arXiv:1911.09241
  46. Attention is not Explanation — 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)
  47. Avoiding Reasoning Shortcuts: Adversarial Evaluation, Training, and Model Development for Multi-Hop QA — 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics
  48. Be Consistent! Improving Procedural Text Comprehension using Label Consistency — 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)
  49. BoolQ: Exploring the Surprising Difficulty of Natural Yes/No Questions — 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)
  50. CLUTRR: A Diagnostic Benchmark for Inductive Reasoning from Text — 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)
  51. Comprehensive Multi-Dataset Evaluation of Reading Comprehension — 2019 · Proceedings of the 2nd Workshop on Machine Reading for Question Answering
  52. DyKgChat: Benchmarking Dialogue Generation Grounding on Dynamic Knowledge Graphs — 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)
  53. Dynamic Neuro-Symbolic Knowledge Graph Construction for Zero-shot Commonsense Question Answering — 2019 · arXiv:1911.03876
  54. End-to-end Deep Reinforcement Learning Based Coreference Resolution — 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics
  55. Episodic Memory Reader: Learning What to Remember for Question Answering from Streaming Data — 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics
  56. Everything Happens for a Reason: Discovering the Purpose of Actions in Procedural Text — 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)
  57. Extraction of Message Sequence Charts from Narrative History Text — 2019 · Proceedings of the First Workshop on Narrative Understanding
  58. FriendsQA: Open-Domain Question Answering on TV Show Transcripts — 2019 · Proceedings of the 20th Annual SIGdial Meeting on Discourse and Dialogue
  59. From ''F'' to ''A'' on the N.Y. Regents Science Exams: An Overview of the Aristo Project — 2019 · arXiv:1909.01958
  60. HEAD-QA: A Healthcare Dataset for Complex Reasoning — 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics
  61. Inferential Machine Comprehension: Answering Questions by Recursively Deducing the Evidence Chain from Text — 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics
  62. Interactive Language Learning by 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)
  63. Measuring Compositional Generalization: A Comprehensive Method on Realistic Data — 2019 · arXiv:1912.09713
  64. 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
  65. On the Importance of the Kullback-Leibler Divergence Term in Variational Autoencoders for Text Generation — 2019 · Proceedings of the 3rd Workshop on Neural Generation and Translation
  66. Probing Natural Language Inference Models through Semantic Fragments — 2019 · arXiv:1909.07521
  67. Procedural Reasoning Networks for Understanding Multimodal Procedures — 2019 · Proceedings of the 23rd Conference on Computational Natural Language Learning (CoNLL)
  68. QASC: A Dataset for Question Answering via Sentence Composition — 2019 · arXiv:1910.11473
  69. Recent Advances in Natural Language Inference: A Survey of Benchmarks, Resources, and Approaches — 2019 · arXiv:1904.01172
  70. Revisiting the Evaluation of Theory of Mind through 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)
  71. Rotational Unit of Memory: A Novel Representation Unit for RNNs with Scalable Applications — 2019 · Transactions of the Association for Computational Linguistics
  72. Self-Assembling Modular Networks for Interpretable Multi-Hop Reasoning — 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)
  73. Term-Based Extraction of Medical Information: Pre-Operative Patient Education Use Case — 2019 · Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP 2019)
  74. Towards Debiasing Fact Verification Models — 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. Tracking Discrete and Continuous Entity State for Process Understanding — 2019 · Proceedings of the Third Workshop on Structured Prediction for NLP
  76. Understanding Dataset Design Choices for Multi-hop Reasoning — 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. Understanding Roles and Entities: Datasets and Models for Natural Language Inference — 2019 · arXiv:1904.09720
  78. Using Natural Language Relations between Answer Choices for Machine Comprehension — 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)
  79. WIQA: A dataset for ``What if...'''' reasoning over procedural text — 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)
  80. What Can Neural Networks Reason About? — 2019 · arXiv:1905.13211
  81. What''s Missing: A Knowledge Gap Guided Approach for Multi-hop 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)
  82. Adversarial Over-Sensitivity and Over-Stability Strategies for Dialogue Models — 2018 · Proceedings of the 22nd Conference on Computational Natural Language Learning
  83. Assessing Composition in Sentence Vector Representations — 2018 · Proceedings of the 27th International Conference on Computational Linguistics
  84. BabyAI: A Platform to Study the Sample Efficiency of Grounded Language Learning — 2018 · arXiv:1810.08272
  85. Challenging Reading Comprehension on Daily Conversation: Passage Completion on Multiparty Dialog — 2018 · Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers)
  86. Commonsense for Generative Multi-Hop Question Answering Tasks — 2018 · Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing
  87. Constructing Datasets for Multi-hop Reading Comprehension Across Documents — 2018 · Transactions of the Association for Computational Linguistics
  88. Contextualized Word Representations for Reading Comprehension — 2018 · Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 2 (Short Papers)
  89. Deep learning evaluation using deep linguistic processing — 2018 · Proceedings of the Workshop on Generalization in the Age of Deep Learning
  90. Directional Skip-Gram: Explicitly Distinguishing Left and Right Context for Word Embeddings — 2018 · Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 2 (Short Papers)
  91. Energy-Efficient Inference Accelerator for Memory-Augmented Neural Networks on an FPGA — 2018 · arXiv:1805.07978
  92. Evaluating Theory of Mind in Question Answering — 2018 · Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing
  93. Exploiting Attention to Reveal Shortcomings in Memory Models — 2018 · Proceedings of the 2018 EMNLP Workshop BlackboxNLP: Analyzing and Interpreting Neural Networks for NLP
  94. Generating Fine-Grained Open Vocabulary Entity Type Descriptions — 2018 · Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  95. How Much Reading Does Reading Comprehension Require? A Critical Investigation of Popular Benchmarks — our card · 2018 · Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing
  96. ListOps: A Diagnostic Dataset for Latent Tree Learning — 2018 · Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Student Research Workshop
  97. Looking Beyond the Surface: A Challenge Set for Reading Comprehension over Multiple Sentences — our card · 2018 · Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers)
  98. MCScript: A Novel Dataset for Assessing Machine Comprehension Using Script Knowledge — 2018 · Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018)
  99. MemoReader: Large-Scale Reading Comprehension through Neural Memory Controller — 2018 · Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing
  100. Modeling Naive Psychology of Characters in Simple Commonsense Stories — 2018 · Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

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