Mova0.5 pre-release⌕
☰
home / docs / papers / cited-by / Who cites «RACE: Large-scale ReAding Comprehension Dataset From Examinations» · page 4

Who cites «RACE: Large-scale ReAding Comprehension Dataset From Examinations» · page 4

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

Pages: 1 · 2 · 3 · 4 · 5 · 6 · 7

  1. 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)
  2. PROST: Physical Reasoning about Objects through Space and Time — 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021
  3. Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Language Processing — 2021 · arXiv:2107.13586
  4. REPT: Bridging Language Models and Machine Reading Comprehension via Retrieval-Based Pre-training — 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021
  5. Relation-aware Video Reading Comprehension for Temporal Language Grounding — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  6. 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
  7. Scaling Language Models: Methods, Analysis & Insights from Training Gopher — 2021 · arXiv:2112.11446
  8. 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
  9. Single-dataset Experts for Multi-dataset Question Answering — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  10. 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
  11. 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
  12. TellMeWhy: A Dataset for Answering Why-Questions in Narratives — our card · 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021
  13. The CoRa Tensor Compiler: Compilation for Ragged Tensors with Minimal Padding — 2021 · arXiv:2110.10221
  14. The Power of Scale for Parameter-Efficient Prompt Tuning — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  15. The Stability-Efficiency Dilemma: Investigating Sequence Length Warmup for Training GPT Models — 2021 · arXiv:2108.06084
  16. 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
  17. 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)
  18. Unsupervised Energy-based Adversarial Domain Adaptation for Cross-domain Text Classification — 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021
  19. 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)
  20. 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)
  21. WebSRC: A Dataset for Web-Based Structural Reading Comprehension — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  22. What to Pre-Train on? Efficient Intermediate Task Selection — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  23. Zero-Shot Dialogue State Tracking via Cross-Task Transfer — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  24. jurBERT: A Romanian BERT Model for Legal Judgement Prediction — 2021 · Proceedings of the Natural Legal Language Processing Workshop 2021
  25. 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
  26. A BERT-based Distractor Generation Scheme with Multi-tasking and Negative Answer Training Strategies. — 2020 · Findings of the Association for Computational Linguistics: EMNLP 2020
  27. A BERT-based Dual Embedding Model for Chinese Idiom Prediction — 2020 · Proceedings of the 28th International Conference on Computational Linguistics
  28. 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
  29. A Sentence Cloze Dataset for Chinese Machine Reading Comprehension — 2020 · Proceedings of the 28th International Conference on Computational Linguistics
  30. A Vietnamese Dataset for Evaluating Machine Reading Comprehension — 2020 · Proceedings of the 28th International Conference on Computational Linguistics
  31. 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
  32. Automatic Distractor Generation for Multiple Choice Questions in Standard Tests — 2020 · Proceedings of the 28th International Conference on Computational Linguistics
  33. BioMRC: A Dataset for Biomedical Machine Reading Comprehension — 2020 · Proceedings of the 19th SIGBioMed Workshop on Biomedical Language Processing
  34. Bridging Information-Seeking Human Gaze and Machine Reading Comprehension — 2020 · Proceedings of the 24th Conference on Computational Natural Language Learning
  35. CLUE: A Chinese Language Understanding Evaluation Benchmark — 2020 · arXiv:2004.05986
  36. Compressing Transformer-Based Semantic Parsing Models using Compositional Code Embeddings — 2020 · Findings of the Association for Computational Linguistics: EMNLP 2020
  37. 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)
  38. DeBERTa: Decoding-enhanced BERT with Disentangled Attention — 2020 · arXiv:2006.03654
  39. DeFormer: Decomposing Pre-trained Transformers for Faster Question Answering — 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
  40. 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
  41. ERNIE-Gram: Pre-Training with Explicitly N-Gram Masked Language Modeling for Natural Language Understanding — 2020 · arXiv:2010.12148
  42. ETC: Encoding Long and Structured Inputs in Transformers — 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
  43. 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)
  44. Evaluating Models' Local Decision Boundaries via Contrast Sets — our card · 2020 · Findings of the Association for Computational Linguistics: EMNLP 2020
  45. 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
  46. Hierarchical Graph Network for Multi-hop Question Answering — 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
  47. Improving QA Generalization by Concurrent Modeling of Multiple Biases — 2020 · Findings of the Association for Computational Linguistics: EMNLP 2020
  48. LEGAL-BERT: The Muppets straight out of Law School — 2020 · Findings of the Association for Computational Linguistics: EMNLP 2020
  49. Language Models are Few-Shot Learners — 2020 · arXiv:2005.14165
  50. LiveQA: A Question Answering Dataset over Sports Live — 2020 · Proceedings of the 19th Chinese National Conference on Computational Linguistics
  51. LogiQA: A Challenge Dataset for Machine Reading Comprehension with Logical Reasoning — 2020 · arXiv:2007.08124
  52. MOCHA: A Dataset for Training and Evaluating Generative Reading Comprehension Metrics — 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
  53. MPNet: Masked and Permuted Pre-training for Language Understanding — 2020 · arXiv:2004.09297
  54. Measuring Massive Multitask Language Understanding — 2020 · arXiv:2009.03300
  55. Memory-Efficient Pipeline-Parallel DNN Training — 2020 · ICML 2021
  56. Molweni: A Challenge Multiparty Dialogues-based Machine Reading Comprehension Dataset with Discourse Structure — 2020 · Proceedings of the 28th International Conference on Computational Linguistics
  57. MuTual: A Dataset for Multi-Turn Dialogue Reasoning — 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
  58. Multi-source Meta Transfer for Low Resource Multiple-Choice Question Answering — 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
  59. NUT-RC: Noisy User-generated Text-oriented Reading Comprehension — 2020 · Proceedings of the 28th International Conference on Computational Linguistics
  60. PRover: Proof Generation for Interpretable Reasoning over Rules — 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
  61. Question Directed Graph Attention Network for Numerical Reasoning over Text — 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
  62. ReClor: A Reading Comprehension Dataset Requiring Logical Reasoning — 2020 · arXiv:2002.04326
  63. Read and Reason with MuSeRC and RuCoS: Datasets for Machine Reading Comprehension for Russian — 2020 · Proceedings of the 28th International Conference on Computational Linguistics
  64. Revisiting Pre-Trained Models for Chinese Natural Language Processing — 2020 · arXiv:2004.13922
  65. SCDE: Sentence Cloze Dataset with High Quality Distractors From Examinations — 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
  66. STARC: Structured Annotations for Reading Comprehension — our card · 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
  67. Scalable Multi-Hop Relational Reasoning for Knowledge-Aware Question Answering — 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
  68. ScholarlyRead: A New Dataset for Scientific Article Reading Comprehension — 2020 · Proceedings of the Twelfth Language Resources and Evaluation Conference
  69. To Test Machine Comprehension, Start by Defining Comprehension — 2020 · arXiv:2005.01525
  70. Towards Medical Machine Reading Comprehension with Structural Knowledge and Plain Text — 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
  71. Transfer Learning from Transformers to Fake News Challenge Stance Detection (FNC-1) Task — 2020 · Proceedings of the Twelfth Language Resources and Evaluation Conference
  72. Transformers as Soft Reasoners over Language — 2020 · arXiv:2002.05867
  73. UNIFIEDQA: Crossing Format Boundaries with a Single QA System — 2020 · Findings of the Association for Computational Linguistics: EMNLP 2020
  74. UPB at SemEval-2020 Task 8: Joint Textual and Visual Modeling in a Multi-Task Learning Architecture for Memotion Analysis — 2020 · Proceedings of the Fourteenth Workshop on Semantic Evaluation
  75. Unsupervised Domain Adaptation of Language Models for Reading Comprehension — 2020 · Proceedings of the Twelfth Language Resources and Evaluation Conference
  76. What Disease does this Patient Have? A Large-scale Open Domain Question Answering Dataset from Medical Exams — 2020 · arXiv:2009.13081
  77. What Does My QA Model Know? Devising Controlled Probes Using Expert Knowledge — 2020 · Transactions of the Association for Computational Linguistics
  78. What do we expect from Multiple-choice QA Systems? — 2020 · Findings of the Association for Computational Linguistics: EMNLP 2020
  79. Which *BERT? A Survey Organizing Contextualized Encoders — 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
  80. ``You are grounded!'''': Latent Name Artifacts in Pre-trained Language Models — 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
  81. 基于深度学习的语言模型研究进展 — 2020 · 软件学报 (Journal of Software)
  82. 基于神经网络的机器阅读理解综述 — 2020 · 软件学报 (Journal of Software)
  83. 多模块联合的阅读理解候选句抽取(Evidence sentence extraction for reading comprehension based on multi-module) — 2020 · Proceedings of the 19th Chinese National Conference on Computational Linguistics
  84. An Exploration of Data Augmentation and Sampling Techniques for Domain-Agnostic Question Answering — 2019 · Proceedings of the 2nd Workshop on Machine Reading for Question Answering
  85. Answering questions by learning to rank - Learning to rank by answering questions — 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)
  86. Assessing the Benchmarking Capacity of Machine Reading Comprehension Datasets — 2019 · arXiv:1911.09241
  87. BERT Post-Training for Review Reading Comprehension and Aspect-based Sentiment Analysis — 2019 · arXiv:1904.02232
  88. Beyond English-Only Reading Comprehension: Experiments in Zero-shot Multilingual Transfer for Bulgarian — 2019 · Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP 2019)
  89. 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)
  90. 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)
  91. CJRC: A Reliable Human-Annotated Benchmark DataSet for Chinese Judicial Reading Comprehension — 2019 · arXiv:1912.09156
  92. Careful Selection of Knowledge to Solve Open Book Question Answering — 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics
  93. ChID: A Large-scale Chinese IDiom Dataset for Cloze Test — 2019 · arXiv:1906.01265
  94. 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)
  95. Dialog State Tracking: A Neural Reading Comprehension Approach — 2019 · Proceedings of the 20th Annual SIGdial Meeting on Discourse and Dialogue
  96. Domain-agnostic Question-Answering with Adversarial Training — 2019 · Proceedings of the 2nd Workshop on Machine Reading for Question Answering
  97. Evaluating Commonsense in Pre-trained Language Models — 2019 · arXiv:1911.11931
  98. Evidence Sentence Extraction for Machine Reading Comprehension — 2019 · Proceedings of the 23rd Conference on Computational Natural Language Learning (CoNLL)
  99. Finding Generalizable Evidence by Learning to Convince Q&A 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)
  100. FreeLB: Enhanced Adversarial Training for Natural Language Understanding — 2019 · arXiv:1909.11764

Pages: 1 · 2 · 3 · 4 · 5 · 6 · 7

This page in Markdown → https://md.mova.elamur.ai/free/en/docs/papers/cited-by/lai-2017-race-large-scale-reading-comprehension-4/