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Who cites «Abductive Commonsense Reasoning» · page 3

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

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  1. Stop Measuring Calibration When Humans Disagree — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
  2. Task Compass: Scaling Multi-task Pre-training with Task Prefix — 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022
  3. Things not Written in Text: Exploring Spatial Commonsense from Visual Signals — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  4. Training Data is More Valuable than You Think: A Simple and Effective Method by Retrieving from Training Data — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  5. Transferring Confluent Knowledge to Argument Mining — 2022 · Proceedings of the 29th International Conference on Computational Linguistics
  6. Two is Better than Many? Binary Classification as an Effective Approach to Multi-Choice Question Answering — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
  7. UL2: Unifying Language Learning Paradigms — 2022 · arXiv:2205.05131
  8. WordTies: Measuring Word Associations in Language Models via Constrained Sampling — 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022
  9. e-CARE: a New Dataset for Exploring Explainable Causal Reasoning — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  10. minicons: Enabling Flexible Behavioral and Representational Analyses of Transformer Language Models — 2022 · arXiv:2203.13112
  11. 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
  12. Broaden the Vision: Geo-Diverse Visual Commonsense Reasoning — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  13. COINS: Dynamically Generating COntextualized Inference Rules for Narrative Story Completion — 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. COM2SENSE: A Commonsense Reasoning Benchmark with Complementary Sentences — 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021
  15. Can Machines Learn Morality? The Delphi Experiment — 2021 · arXiv:2110.07574
  16. 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)
  17. CrossFit: A Few-shot Learning Challenge for Cross-task Generalization in NLP — 2021 · arXiv:2104.08835
  18. Do Natural Language Explanations Represent Valid Logical Arguments? Verifying Entailment in Explainable NLI Gold Standards — 2021 · Proceedings of the 14th International Conference on Computational Semantics (IWCS)
  19. Does External Knowledge Help Explainable Natural Language Inference? Automatic Evaluation vs. Human Ratings — 2021 · Proceedings of the Fourth BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP
  20. Embracing Ambiguity: Shifting the Training Target of NLI 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. ExT5: Towards Extreme Multi-Task Scaling for Transfer Learning — 2021 · arXiv:2111.10952
  22. ExplaGraphs: An Explanation Graph Generation Task for Structured Commonsense Reasoning — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  23. Explanations for CommonsenseQA: New Dataset and 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)
  24. Exploring Strategies for Generalizable Commonsense Reasoning with Pre-trained Models — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  25. Generating Hypothetical Events for Abductive Inference — 2021 · Proceedings of *SEM 2021: The Tenth Joint Conference on Lexical and Computational Semantics
  26. 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
  27. Implicit Premise Generation with Discourse-aware Commonsense Knowledge Models — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  28. Improving Abstractive Summarization with Commonsense Knowledge — 2021 · Proceedings of the Student Research Workshop Associated with RANLP 2021
  29. Improving Unsupervised Commonsense Reasoning Using Knowledge-Enabled Natural Language Inference — 2021 · Findings of the Association for Computational Linguistics: EMNLP 2021
  30. Learning Event Graph Knowledge for Abductive Reasoning — 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. Learning with Different Amounts of Annotation: From Zero to Many Labels — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  32. MetaICL: Learning to Learn In Context — 2021 · arXiv:2110.15943
  33. Modeling Event Plausibility with Consistent Conceptual Abstraction — 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
  34. Moral Stories: Situated Reasoning about Norms, Intents, Actions, and their Consequences — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  35. OTTers: One-turn Topic Transitions for Open-Domain Dialogue — 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)
  36. On-the-Fly Attention Modulation for Neural Generation — 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021
  37. Probing Across Time: What Does RoBERTa Know and When? — 2021 · Findings of the Association for Computational Linguistics: EMNLP 2021
  38. ProofWriter: Generating Implications, Proofs, and Abductive Statements over Natural Language — 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021
  39. Reflective Decoding: Beyond Unidirectional Generation with Off-the-Shelf 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)
  40. RiddleSense: Reasoning about Riddle Questions Featuring Linguistic Creativity and Commonsense Knowledge — 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021
  41. 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)
  42. TellMeWhy: A Dataset for Answering Why-Questions in Narratives — our card · 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021
  43. Temporal Reasoning on Implicit Events from Distant Supervision — 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
  44. Tiered Reasoning for Intuitive Physics: Toward Verifiable Commonsense Language Understanding — 2021 · Findings of the Association for Computational Linguistics: EMNLP 2021
  45. UNICORN on RAINBOW: A Universal Commonsense Reasoning Model on a New Multitask Benchmark — 2021 · arXiv:2103.13009
  46. What to Pre-Train on? Efficient Intermediate Task Selection — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  47. Wino-X: Multilingual Winograd Schemas for Commonsense Reasoning and Coreference Resolution — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  48. ``I''m Not Mad'''': Commonsense Implications of Negation and Contradiction — 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
  49. Adversarial Filters of Dataset Biases — 2020 · arXiv:2002.04108
  50. Adversarial NLI: A New Benchmark for Natural Language Understanding — 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
  51. Are Natural Language Inference Models IMPPRESsive? Learning IMPlicature and PRESupposition — our card · 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
  52. 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)
  53. CSKG: The CommonSense Knowledge Graph — 2020 · arXiv:2012.11490 (ESWC 2021 Resource Track)
  54. Connecting the Dots: A Knowledgeable Path Generator for Commonsense Question Answering — 2020 · Findings of the Association for Computational Linguistics: EMNLP 2020
  55. Continual Lifelong Learning in Natural Language Processing: A Survey — 2020 · Proceedings of the 28th International Conference on Computational Linguistics
  56. Do We Need to Create Big Datasets to Learn a Task? — 2020 · Proceedings of SustaiNLP: Workshop on Simple and Efficient Natural Language Processing
  57. INFOTABS: Inference on Tables as Semi-structured Data — 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
  58. INSET: Sentence Infilling with INter-SEntential Transformer — 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
  59. Language Generation with Multi-Hop Reasoning on Commonsense Knowledge Graph — 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
  60. Natural Language Rationales with Full-Stack Visual Reasoning: From Pixels to Semantic Frames to Commonsense Graphs — 2020 · Findings of the Association for Computational Linguistics: EMNLP 2020
  61. New Protocols and Negative Results for Textual Entailment Data Collection — 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
  62. Paragraph-level Commonsense Transformers with Recurrent Memory — 2020 · arXiv:2010.01486
  63. ProtoQA: A Question Answering Dataset for Prototypical Common-Sense Reasoning — 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
  64. SCDE: Sentence Cloze Dataset with High Quality Distractors From Examinations — 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
  65. Self-Supervised Knowledge Triplet Learning for Zero-Shot Question Answering — 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
  66. Social Commonsense Reasoning with Multi-Head Knowledge Attention — 2020 · Findings of the Association for Computational Linguistics: EMNLP 2020
  67. Thinking Like a Skeptic: Defeasible Inference in Natural Language — 2020 · Findings of the Association for Computational Linguistics: EMNLP 2020
  68. 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
  69. Video2Commonsense: Generating Commonsense Descriptions to Enrich Video Captioning — 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
  70. VisualCOMET: Reasoning about the Dynamic Context of a Still Image — 2020 · arXiv:2004.10796
  71. Visuo-Linguistic Question Answering (VLQA) Challenge — 2020 · Findings of the Association for Computational Linguistics: EMNLP 2020
  72. What Can We Learn from Collective Human Opinions on Natural Language Inference Data? — 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
  73. XCOPA: A Multilingual Dataset for Causal Commonsense Reasoning — 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
  74. Recent Advances in Natural Language Inference: A Survey of Benchmarks, Resources, and Approaches — 2019 · arXiv:1904.01172

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