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Who cites «Cosmos QA: Machine Reading Comprehension with Contextual Commonsense Reasoning» · page 3

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

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  1. DAGN: Discourse-Aware Graph Network for Logical Reasoning — 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
  2. Diagnosing the First-Order Logical Reasoning Ability Through LogicNLI — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  3. Discrete Reasoning Templates for Natural Language Understanding — 2021 · Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Student Research Workshop
  4. ESTER: A Machine Reading Comprehension Dataset for Reasoning about Event Semantic Relations — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  5. English Machine Reading Comprehension Datasets: A Survey — our card · 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  6. Evaluation Paradigms in Question Answering — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  7. EventPlus: A Temporal Event Understanding Pipeline — 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Demonstrations
  8. ExT5: Towards Extreme Multi-Task Scaling for Transfer Learning — 2021 · arXiv:2111.10952
  9. ExplaGraphs: An Explanation Graph Generation Task for Structured Commonsense Reasoning — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  10. Extracting Temporal Event Relation with Syntax-guided Graph Transformer — 2021 · arXiv:2104.09570
  11. Fine-Tuned Transformers Show Clusters of Similar Representations Across Layers — 2021 · Proceedings of the Fourth BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP
  12. Finetuned Language Models Are Zero-Shot Learners — 2021 · arXiv:2109.01652
  13. ForecastQA: A Question Answering Challenge for Event Forecasting with Temporal Text Data — 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)
  14. Generating Hypothetical Events for Abductive Inference — 2021 · Proceedings of *SEM 2021: The Tenth Joint Conference on Lexical and Computational Semantics
  15. Identify, Align, and Integrate: Matching Knowledge Graphs to Commonsense Reasoning Tasks — 2021 · Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume
  16. It's Commonsense, isn't it? Demystifying Human Evaluations in Commonsense-Enhanced NLG Systems — 2021 · Proceedings of the Workshop on Human Evaluation of NLP Systems (HumEval)
  17. 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
  18. MetaICL: Learning to Learn In Context — 2021 · arXiv:2110.15943
  19. Modeling Context in Answer Sentence Selection Systems on a Latency Budget — 2021 · Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume
  20. Multitask Prompted Training Enables Zero-Shot Task Generalization — 2021 · arXiv:2110.08207
  21. Muppet: Massive Multi-task Representations with Pre-Finetuning — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  22. 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
  23. On Commonsense Cues in BERT for Solving Commonsense Tasks — 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021
  24. Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Language Processing — 2021 · arXiv:2107.13586
  25. RICA: Evaluating Robust Inference Capabilities Based on Commonsense Axioms — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  26. Syntax-Enhanced Pre-trained Model — 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)
  27. TGEA: An Error-Annotated Dataset and Benchmark Tasks for TextGeneration from Pretrained Language 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 1: Long Papers)
  28. Towards a Language Model for Temporal Commonsense Reasoning — 2021 · Proceedings of the Student Research Workshop Associated with RANLP 2021
  29. UNICORN on RAINBOW: A Universal Commonsense Reasoning Model on a New Multitask Benchmark — 2021 · arXiv:2103.13009
  30. What Ingredients Make for an Effective Crowdsourcing Protocol for Difficult NLU Data Collection Tasks? — 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)
  31. What to Pre-Train on? Efficient Intermediate Task Selection — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  32. Wino-X: Multilingual Winograd Schemas for Commonsense Reasoning and Coreference Resolution — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  33. A Benchmark Arabic Dataset for Commonsense Explanation — 2020 · arXiv:2012.10251
  34. AdapterFusion: Non-Destructive Task Composition for Transfer Learning — 2020 · arXiv:2005.00247 · Proceedings of EACL 2021
  35. Adversarial Training for Commonsense Inference — 2020 · Proceedings of the 5th Workshop on Representation Learning for NLP
  36. Back to the Future: Unsupervised Backprop-based Decoding for Counterfactual and Abductive Commonsense Reasoning — 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
  37. Beyond Leaderboards: A survey of methods for revealing weaknesses in Natural Language Inference data and models — 2020 · arXiv:2005.14709
  38. CommonGen: A Constrained Text Generation Challenge for Generative Commonsense Reasoning — 2020 · Findings of the Association for Computational Linguistics: EMNLP 2020
  39. Commonsense Evidence Generation and Injection in Reading Comprehension — 2020 · Proceedings of the 21th Annual Meeting of the Special Interest Group on Discourse and Dialogue
  40. Commonsense Reasoning for Natural Language Processing — 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics: Tutorial Abstracts
  41. Connecting the Dots: A Knowledgeable Path Generator for Commonsense Question Answering — 2020 · Findings of the Association for Computational Linguistics: EMNLP 2020
  42. Conversational Machine Comprehension: a Literature Review — 2020 · Proceedings of the 28th International Conference on Computational Linguistics
  43. Designing Precise and Robust Dialogue Response Evaluators — 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
  44. English Intermediate-Task Training Improves Zero-Shot Cross-Lingual Transfer Too — 2020 · Proceedings of the 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing
  45. Improving Event Detection via Open-domain Trigger Knowledge — 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
  46. Incorporating Commonsense Knowledge Graph in Pretrained Models for Social Commonsense Tasks — 2020 · Proceedings of Deep Learning Inside Out (DeeLIO): The First Workshop on Knowledge Extraction and Integration for Deep Learning Architectures
  47. 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
  48. Is this sentence valid? An Arabic Dataset for Commonsense Validation — 2020 · arXiv:2008.10873
  49. K-Adapter: Infusing Knowledge into Pre-Trained Models with Adapters — 2020 · arXiv:2002.01808
  50. 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)
  51. Measuring Massive Multitask Language Understanding — 2020 · arXiv:2009.03300
  52. MuTual: A Dataset for Multi-Turn Dialogue Reasoning — 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
  53. Paragraph-level Commonsense Transformers with Recurrent Memory — 2020 · arXiv:2010.01486
  54. ProtoQA: A Question Answering Dataset for Prototypical Common-Sense Reasoning — 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
  55. ReClor: A Reading Comprehension Dataset Requiring Logical Reasoning — 2020 · arXiv:2002.04326
  56. Scene Restoring for Narrative Machine Reading Comprehension — 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
  57. Seeing the World through Text: Evaluating Image Descriptions for Commonsense Reasoning in Machine Reading Comprehension — 2020 · Proceedings of the Second Workshop on Beyond Vision and LANguage: inTEgrating Real-world kNowledge (LANTERN)
  58. TR at SemEval-2020 Task 4: Exploring the Limits of Language-model-based Common Sense Validation — 2020 · Proceedings of the Fourteenth Workshop on Semantic Evaluation
  59. The Box is in the Pen: Evaluating Commonsense Reasoning in Neural Machine Translation — 2020 · Findings of the Association for Computational Linguistics: EMNLP 2020
  60. To Test Machine Comprehension, Start by Defining Comprehension — 2020 · arXiv:2005.01525
  61. 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)
  62. Towards Zero-Shot Conditional Summarization with Adaptive Multi-Task Fine-Tuning — 2020 · Findings of the Association for Computational Linguistics: EMNLP 2020
  63. Uncertainty over Uncertainty: Investigating the Assumptions, Annotations, and Text Measurements of Economic Policy Uncertainty — 2020 · Proceedings of the Fourth Workshop on Natural Language Processing and Computational Social Science
  64. XCOPA: A Multilingual Dataset for Causal Commonsense Reasoning — 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
  65. On Making Reading Comprehension More Comprehensive — 2019 · Proceedings of the 2nd Workshop on Machine Reading for Question Answering
  66. Recent Advances in Natural Language Inference: A Survey of Benchmarks, Resources, and Approaches — 2019 · arXiv:1904.01172

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