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

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  1. Asking Questions Like Educational Experts: Automatically Generating Question-Answer Pairs on Real-World Examination Data — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  2. 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
  3. Benchmarking Robustness of Machine Reading Comprehension Models — 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021
  4. BiQuAD: Towards QA based on deeper text understanding — 2021 · Proceedings of *SEM 2021: The Tenth Joint Conference on Lexical and Computational Semantics
  5. CLEVR_HYP: A Challenge Dataset and Baselines for Visual Question Answering with Hypothetical Actions over Images — 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
  6. CTAL: Pre-training Cross-modal Transformer for Audio-and-Language Representations — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  7. CodeQA: A Question Answering Dataset for Source Code Comprehension — 2021 · Findings of the Association for Computational Linguistics: EMNLP 2021
  8. Comparing Test Sets with Item Response Theory — 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. Controllable Open-ended Question Generation with A New Question Type Ontology — 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)
  10. Controlling Text Edition by Changing Answers of Specific Questions — 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021
  11. Corporate Bankruptcy Prediction with Domain-Adapted BERT — 2021 · Proceedings of the Third Workshop on Economics and Natural Language Processing
  12. CrossFit: A Few-shot Learning Challenge for Cross-task Generalization in NLP — 2021 · arXiv:2104.08835
  13. DeBERTaV3: Improving DeBERTa using ELECTRA-Style Pre-Training with Gradient-Disentangled Embedding Sharing — 2021 · arXiv:2111.09543
  14. Diagnosing the First-Order Logical Reasoning Ability Through LogicNLI — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  15. Encoding Explanatory Knowledge for Zero-shot Science Question Answering — 2021 · Proceedings of the 14th International Conference on Computational Semantics (IWCS)
  16. English Machine Reading Comprehension Datasets: A Survey — our card · 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  17. Enhancing Multiple-choice Machine Reading Comprehension by Punishing Illogical Interpretations — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  18. Evaluation Paradigms in Question Answering — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  19. ExT5: Towards Extreme Multi-Task Scaling for Transfer Learning — 2021 · arXiv:2111.10952
  20. Explaining NLP Models via Minimal Contrastive Editing (MiCE) — 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021
  21. Extract, Integrate, Compete: Towards Verification Style Reading Comprehension — 2021 · Findings of the Association for Computational Linguistics: EMNLP 2021
  22. Few Shot Dialogue State Tracking using Meta-learning — 2021 · Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume
  23. GANDALF: a General Character Name Description Dataset for Long Fiction — 2021 · Proceedings of the 3rd Workshop on Machine Reading for Question Answering
  24. GCRC: A New Challenging MRC Dataset from Gaokao Chinese for Explainable Evaluation — 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021
  25. GLaM: Efficient Scaling of Language Models with Mixture-of-Experts — 2021 · arXiv:2112.06905
  26. General-Purpose Question-Answering with Macaw — 2021 · arXiv:2109.02593
  27. How Can We Know When Language Models Know? On the Calibration of Language Models for Question Answering — 2021
  28. Knowledge-Empowered Representation Learning for Chinese Medical Reading Comprehension: Task, Model and Resources — 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021
  29. Learning from Limited Labels for Long Legal Dialogue — 2021 · Proceedings of the Natural Legal Language Processing Workshop 2021
  30. Looking Beyond Sentence-Level Natural Language Inference for Question Answering and Text Summarization — 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
  31. MIRTT: Learning Multimodal Interaction Representations from Trilinear Transformers for Visual Question Answering — 2021 · Findings of the Association for Computational Linguistics: EMNLP 2021
  32. Memory-efficient Transformers via Top-k Attention — 2021 · Proceedings of the Second Workshop on Simple and Efficient Natural Language Processing
  33. MetaICL: Learning to Learn In Context — 2021 · arXiv:2110.15943
  34. MinD at SemEval-2021 Task 6: Propaganda Detection using Transfer Learning and Multimodal Fusion — 2021 · Proceedings of the 15th International Workshop on Semantic Evaluation (SemEval-2021)
  35. Multi-Strategy Knowledge Distillation Based Teacher-Student Framework for Machine Reading Comprehension — 2021 · Proceedings of the 20th Chinese National Conference on Computational Linguistics
  36. Multi-tasking Dialogue Comprehension with Discourse Parsing — 2021 · Proceedings of the 35th Pacific Asia Conference on Language, Information and Computation
  37. Multitask Prompted Training Enables Zero-Shot Task Generalization — 2021 · arXiv:2110.08207
  38. Muppet: Massive Multi-task Representations with Pre-Finetuning — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  39. NEUer at SemEval-2021 Task 4: Complete Summary Representation by Filling Answers into Question for Matching Reading Comprehension — 2021 · Proceedings of the 15th International Workshop on Semantic Evaluation (SemEval-2021)
  40. 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
  41. NOAHQA: Numerical Reasoning with Interpretable Graph Question Answering Dataset — 2021 · Findings of the Association for Computational Linguistics: EMNLP 2021
  42. On the Challenges of Evaluating Compositional Explanations in Multi-Hop Inference: Relevance, Completeness, and Expert Ratings — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  43. On the Efficacy of Adversarial Data Collection for Question Answering: Results from a Large-Scale Randomized Study — 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)
  44. On the Transferability of Minimal Prediction Preserving Inputs in Question Answering — 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
  45. Optimizing Deeper Transformers on Small Datasets — 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)
  46. PINGAN Omini-Sinitic at SemEval-2021 Task 4:Reading Comprehension of Abstract Meaning — 2021 · Proceedings of the 15th International Workshop on Semantic Evaluation (SemEval-2021)
  47. PROST: Physical Reasoning about Objects through Space and Time — 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021
  48. Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Language Processing — 2021 · arXiv:2107.13586
  49. Prediction or Comparison: Toward Interpretable Qualitative Reasoning — 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021
  50. REPT: Bridging Language Models and Machine Reading Comprehension via Retrieval-Based Pre-training — 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021
  51. Relation-aware Video Reading Comprehension for Temporal Language Grounding — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  52. SPARTA: Efficient Open-Domain Question Answering via Sparse Transformer Matching Retrieval — 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
  53. Scaling Language Models: Methods, Analysis & Insights from Training Gopher — 2021 · arXiv:2112.11446
  54. Self- and Pseudo-self-supervised Prediction of Speaker and Key-utterance for Multi-party Dialogue Reading Comprehension — 2021 · Findings of the Association for Computational Linguistics: EMNLP 2021
  55. Single-dataset Experts for Multi-dataset Question Answering — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  56. Surface Form Competition: Why the Highest Probability Answer Isn''t Always Right — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  57. TR-BERT: Dynamic Token Reduction for Accelerating BERT Inference — 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
  58. TellMeWhy: A Dataset for Answering Why-Questions in Narratives — our card · 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021
  59. The CoRa Tensor Compiler: Compilation for Ragged Tensors with Minimal Padding — 2021 · arXiv:2110.10221
  60. The Power of Scale for Parameter-Efficient Prompt Tuning — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  61. The Stability-Efficiency Dilemma: Investigating Sequence Length Warmup for Training GPT Models — 2021 · arXiv:2108.06084
  62. Ti-Reader: 基于注意力机制的藏文机器阅读理解端到端网络模型(Ti-Reader: An End-to-End Network Model Based on Attention Mechanisms for Tibetan Machine Reading Comprehension) — 2021 · Proceedings of the 20th Chinese National Conference on Computational Linguistics
  63. Towards the Application of Calibrated Transformers to the Unsupervised Estimation of Question Difficulty from Text — 2021 · Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP 2021)
  64. Unsupervised Energy-based Adversarial Domain Adaptation for Cross-domain Text Classification — 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021
  65. Unsupervised Multiple Choices Question Answering: Start Learning from Basic Knowledge — 2021 · Proceedings of the 3rd Workshop on Machine Reading for Question Answering
  66. Unsupervised Pronoun Resolution via Masked Noun-Phrase Prediction — 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)
  67. UoR at SemEval-2021 Task 4: Using Pre-trained BERT Token Embeddings for Question Answering of Abstract Meaning — 2021 · Proceedings of the 15th International Workshop on Semantic Evaluation (SemEval-2021)
  68. Using Adversarial Attacks to Reveal the Statistical Bias in Machine Reading Comprehension Models — 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)
  69. Velocidapter: Task-oriented Dialogue Comprehension Modeling Pairing Synthetic Text Generation with Domain Adaptation — 2021 · Proceedings of the 22nd Annual Meeting of the Special Interest Group on Discourse and Dialogue
  70. WebSRC: A Dataset for Web-Based Structural Reading Comprehension — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  71. What If Sentence-hood is Hard to Define: A Case Study in Chinese Reading Comprehension — 2021 · Findings of the Association for Computational Linguistics: EMNLP 2021
  72. What to Pre-Train on? Efficient Intermediate Task Selection — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  73. Zero-Shot Dialogue State Tracking via Cross-Task Transfer — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  74. jurBERT: A Romanian BERT Model for Legal Judgement Prediction — 2021 · Proceedings of the Natural Legal Language Processing Workshop 2021
  75. 基于篇章结构攻击的阅读理解任务探究(Analysis of Reading Comprehension Tasks based on passage structure attacks) — 2021 · Proceedings of the 20th Chinese National Conference on Computational Linguistics
  76. A BERT-based Distractor Generation Scheme with Multi-tasking and Negative Answer Training Strategies. — 2020 · Findings of the Association for Computational Linguistics: EMNLP 2020
  77. A BERT-based Dual Embedding Model for Chinese Idiom Prediction — 2020 · Proceedings of the 28th International Conference on Computational Linguistics
  78. A Self-Training Method for Machine Reading Comprehension with Soft Evidence Extraction — 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
  79. A Sentence Cloze Dataset for Chinese Machine Reading Comprehension — 2020 · Proceedings of the 28th International Conference on Computational Linguistics
  80. A Vietnamese Dataset for Evaluating Machine Reading Comprehension — 2020 · Proceedings of the 28th International Conference on Computational Linguistics
  81. 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
  82. Automatic Distractor Generation for Multiple Choice Questions in Standard Tests — 2020 · Proceedings of the 28th International Conference on Computational Linguistics
  83. Bi-directional CognitiveThinking Network for Machine Reading Comprehension — 2020 · Proceedings of the 28th International Conference on Computational Linguistics
  84. BioMRC: A Dataset for Biomedical Machine Reading Comprehension — 2020 · Proceedings of the 19th SIGBioMed Workshop on Biomedical Language Processing
  85. Bridging Information-Seeking Human Gaze and Machine Reading Comprehension — 2020 · Proceedings of the 24th Conference on Computational Natural Language Learning
  86. CLUE: A Chinese Language Understanding Evaluation Benchmark — 2020 · arXiv:2004.05986
  87. Compressing Transformer-Based Semantic Parsing Models using Compositional Code Embeddings — 2020 · Findings of the Association for Computational Linguistics: EMNLP 2020
  88. Constrained Fact Verification for FEVER — 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
  89. CrowS-Pairs: A Challenge Dataset for Measuring Social Biases in Masked Language Models — 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
  90. DeBERTa: Decoding-enhanced BERT with Disentangled Attention — 2020 · arXiv:2006.03654
  91. DeFormer: Decomposing Pre-trained Transformers for Faster Question Answering — 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
  92. Deeply Embedded Knowledge Representation & Reasoning For Natural Language Question Answering: A Practitioner''s Perspective — 2020 · Proceedings of the Fourth Workshop on Structured Prediction for NLP
  93. Document Modeling with Graph Attention Networks for Multi-grained Machine Reading Comprehension — 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
  94. ERNIE-Gram: Pre-Training with Explicitly N-Gram Masked Language Modeling for Natural Language Understanding — 2020 · arXiv:2010.12148
  95. ETC: Encoding Long and Structured Inputs in Transformers — 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
  96. EXAMS: A Multi-subject High School Examinations Dataset for Cross-lingual and Multilingual Question Answering — 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
  97. Evaluating Models' Local Decision Boundaries via Contrast Sets — our card · 2020 · Findings of the Association for Computational Linguistics: EMNLP 2020
  98. Evaluating Pretrained Transformer-based Models on the Task of Fine-Grained Named Entity Recognition — 2020 · Proceedings of the 28th International Conference on Computational Linguistics
  99. Evaluating the Utility of Model Configurations and Data Augmentation on Clinical Semantic Textual Similarity — 2020 · Proceedings of the 19th SIGBioMed Workshop on Biomedical Language Processing
  100. Hierarchical Graph Network for Multi-hop Question Answering — 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)

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