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Who cites «COMET-ATOMIC 2020: On Symbolic and Neural Commonsense Knowledge Graphs» · page 2

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

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  1. Free Lunch for Efficient Textual Commonsense Integration in Language Models — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  2. GD-COMET: A Geo-Diverse Commonsense Inference Model — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
  3. GenEx: A Commonsense-aware Unified Generative Framework for Explainable Cyberbullying Detection — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
  4. Generative Emotion Cause Triplet Extraction in Conversations with Commonsense Knowledge — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
  5. Grounded and well-rounded: a methodological approach to the study of cross-modal and cross-lingual grounding — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
  6. Harnessing Black-Box Control to Boost Commonsense in LM's Generation — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
  7. Harnessing the Power of Large Language Models for Empathetic Response Generation: Empirical Investigations and Improvements — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
  8. Hidden Schema Networks — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  9. I2D2: Inductive Knowledge Distillation with NeuroLogic and Self-Imitation — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  10. IEKG: A Commonsense Knowledge Graph for Idiomatic Expressions — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
  11. Improving Affective Event Classification with Multi-Perspective Knowledge Injection — 2023 · Proceedings of the 22nd Chinese National Conference on Computational Linguistics
  12. Just Like a Human Would, Direct Access to Sarcasm Augmented with Potential Result and Reaction — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  13. LambdaKG: A Library for Pre-trained Language Model-Based Knowledge Graph Embeddings — 2023 · Proceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics: System Demonstrations
  14. Learning the Effects of Physical Actions in a Multi-modal Environment — 2023 · Findings of the Association for Computational Linguistics: EACL 2023
  15. Modeling Empathic Similarity in Personal Narratives — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
  16. Natural Language Reasoning, A Survey — 2023 · arXiv:2303.14725
  17. Neural Graph Reasoning: Complex Logical Query Answering Meets Graph Databases — 2023 · arXiv:2303.14617
  18. NormMark: A Weakly Supervised Markov Model for Socio-cultural Norm Discovery — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
  19. NovaCOMET: Open Commonsense Foundation Models with Symbolic Knowledge Distillation — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
  20. PASTA: A Dataset for Modeling PArticipant STAtes in Narratives — 2023 · Transactions of the Association for Computational Linguistics
  21. PeaCoK: Persona Commonsense Knowledge for Consistent and Engaging Narratives — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  22. Peeking inside the black box: A Commonsense-aware Generative Framework for Explainable Complaint Detection — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  23. Penguins Don''t Fly: Reasoning about Generics through Instantiations and Exceptions — 2023 · Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics
  24. Persona Expansion with Commonsense Knowledge for Diverse and Consistent Response Generation — 2023 · Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics
  25. RECKONING: Reasoning through Dynamic Knowledge Encoding — 2023 · arXiv:2305.06349
  26. Reasoning before Responding: Integrating Commonsense-based Causality Explanation for Empathetic Response Generation — 2023 · Proceedings of the 24th Annual Meeting of the Special Interest Group on Discourse and Dialogue
  27. Reimagining Complaint Analysis: Adopting Seq2Path for a Generative Text-to-Text Framework — 2023 · Proceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)
  28. SODA: Million-scale Dialogue Distillation with Social Commonsense Contextualization — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
  29. Similarity-weighted Construction of Contextualized Commonsense Knowledge Graphs for Knowledge-intense Argumentation Tasks — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  30. Social Commonsense for Explanation and Cultural Bias Discovery — 2023 · Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics
  31. Through the Lens of Core Competency: Survey on Evaluation of Large Language Models — 2023 · arXiv:2308.07902
  32. TransESC: Smoothing Emotional Support Conversation via Turn-Level State Transition — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
  33. Uncovering Implicit Inferences for Improved Relational Argument Mining — 2023 · Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics
  34. Unifying Large Language Models and Knowledge Graphs: A Roadmap — 2023 · arXiv:2306.08302 · IEEE Transactions on Knowledge and Data Engineering (TKDE) 2024
  35. Value Kaleidoscope: Engaging AI with Pluralistic Human Values, Rights, and Duties — 2023 · arXiv:2309.00779 · Vol. 38 No. 18: AAAI-24 Technical Tracks 18; 2024; 19937-19947
  36. Vera: A General-Purpose Plausibility Estimation Model for Commonsense Statements — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
  37. What happens before and after: Multi-Event Commonsense in Event Coreference Resolution — 2023 · Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics
  38. Zero-Shot Prompting for Implicit Intent Prediction and Recommendation with Commonsense Reasoning — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
  39. kogito: A Commonsense Knowledge Inference Toolkit — 2023 · Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics: System Demonstrations
  40. C$^3$KG: A Chinese Commonsense Conversation Knowledge Graph — 2022 · Findings of the Association for Computational Linguistics: ACL 2022
  41. CICERO: A Dataset for Contextualized Commonsense Inference in Dialogues — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  42. CN-AutoMIC: Distilling Chinese Commonsense Knowledge from Pretrained Language Models — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
  43. COMMA: Modeling Relationship among Motivations, Emotions and Actions in Language-based Human Activities — 2022 · Proceedings of the 29th International Conference on Computational Linguistics
  44. COPA-SSE: Semi-structured Explanations for Commonsense Reasoning — 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference
  45. ClarET: Pre-training a Correlation-Aware Context-To-Event Transformer for Event-Centric Generation and Classification — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  46. CoCoLM: Complex Commonsense Enhanced Language Model with Discourse Relations — 2022 · Findings of the Association for Computational Linguistics: ACL 2022
  47. ComFact: A Benchmark for Linking Contextual Commonsense Knowledge — 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022
  48. Commonsense Knowledge Reasoning and Generation with Pre-trained Language Models: A Survey — 2022 · arXiv:2201.12438
  49. Conditional set generation using Seq2seq models — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
  50. DREAM: Improving Situational QA by First Elaborating the Situation — 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
  51. DiscoSense: Commonsense Reasoning with Discourse Connectives — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
  52. Do Children Texts Hold The Key To Commonsense Knowledge? — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
  53. Does Pre-training Induce Systematic Inference? How Masked Language Models Acquire Commonsense Knowledge — 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
  54. EvEntS ReaLM: Event Reasoning of Entity States via Language Models — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
  55. Explanation Graph Generation via Pre-trained Language Models: An Empirical Study with Contrastive Learning — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  56. Extracting Cultural Commonsense Knowledge at Scale — 2022 · arXiv:2210.07763 · ACM Web Conference 2023
  57. Fire Burns, Sword Cuts: Commonsense Inductive Bias for Exploration in Text-based Games — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)
  58. Generative Entity Typing with Curriculum Learning — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
  59. Guiding Neural Story Generation with Reader Models — 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022
  60. Improving Commonsense Contingent Reasoning by Pseudo-data and Its Application to the Related Tasks — 2022 · Proceedings of the 29th International Conference on Computational Linguistics
  61. Improving Event Representation via Simultaneous Weakly Supervised Contrastive Learning and Clustering — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  62. In Search of Meaning and Its Representations for Computational Linguistics — 2022 · Proceedings of the 2022 CLASP Conference on (Dis)embodiment
  63. Inferring the Reader: Guiding Automated Story Generation with Commonsense Reasoning — 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022
  64. Knowledge Enhanced Reflection Generation for Counseling Dialogues — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  65. Knowledge-Augmented Language Models for Cause-Effect Relation Classification — 2022 · Proceedings of the First Workshop on Commonsense Representation and Reasoning (CSRR 2022)
  66. Knowledge-Augmented Methods for Natural Language Processing — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics: Tutorial Abstracts
  67. LITE: Intent-based Task Representation Learning Using Weak Supervision — 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
  68. Learning from Missing Relations: Contrastive Learning with Commonsense Knowledge Graphs for Commonsense Inference — 2022 · Findings of the Association for Computational Linguistics: ACL 2022
  69. MICO: A Multi-alternative Contrastive Learning Framework for Commonsense Knowledge Representation — 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022
  70. MMEKG: Multi-modal Event Knowledge Graph towards Universal Representation across Modalities — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics: System Demonstrations
  71. Mind the Gap! Injecting Commonsense Knowledge for Abstractive Dialogue Summarization — 2022 · Proceedings of the 29th International Conference on Computational Linguistics
  72. Modelling Commonsense Properties Using Pre-Trained Bi-Encoders — 2022 · Proceedings of the 29th International Conference on Computational Linguistics
  73. Modularized Transfer Learning with Multiple Knowledge Graphs for Zero-shot Commonsense Reasoning — 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
  74. PInKS: Preconditioned Commonsense Inference with Minimal Supervision — 2022 · Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)
  75. PLM-based World Models for Text-based Games — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
  76. PaCo: Preconditions Attributed to Commonsense Knowledge — 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022
  77. PseudoReasoner: Leveraging Pseudo Labels for Commonsense Knowledge Base Population — 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022
  78. Reflect, Not Reflex: Inference-Based Common Ground Improves Dialogue Response Quality — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
  79. SafeText: A Benchmark for Exploring Physical Safety in Language Models — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
  80. Symbolic Knowledge Distillation: from General Language Models to Commonsense Models — 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
  81. System 1 + System 2 = Better World: Neural-Symbolic Chain of Logic Reasoning — 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022
  82. Think Before You Speak: Explicitly Generating Implicit Commonsense Knowledge for Response Generation — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  83. ToKen: Task Decomposition and Knowledge Infusion for Few-Shot Hate Speech Detection — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
  84. Towards Explaining Subjective Ground of Individuals on Social Media — 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022
  85. Using Commonsense Knowledge to Answer Why-Questions — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
  86. Benchmarking Commonsense Knowledge Base Population with an Effective Evaluation Dataset — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  87. CEM: Commonsense-aware Empathetic Response Generation — 2021 · arXiv:2109.05739 · Proceedings of the AAAI Conference on Artificial Intelligence 2022
  88. CIDER: Commonsense Inference for Dialogue Explanation and Reasoning — 2021 · Proceedings of the 22nd Annual Meeting of the Special Interest Group on Discourse and Dialogue
  89. CRASS: A Novel Data Set and Benchmark to Test Counterfactual Reasoning of Large Language Models — 2021 · arXiv:2112.11941 · Proceedings of the 13th Language Resources and Evaluation Conference (LREC 2022), Marseille, France pp. 2126-2140 (2022) https://aclanthology.org/2022.lrec-1.229/
  90. Commonsense Knowledge in Word Associations and ConceptNet — 2021 · Proceedings of the 25th Conference on Computational Natural Language Learning
  91. Do Language Models Perform Generalizable Commonsense Inference? — 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021
  92. ExplaGraphs: An Explanation Graph Generation Task for Structured Commonsense Reasoning — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  93. Flexible Generation of Natural Language Deductions — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  94. Improving Unsupervised Commonsense Reasoning Using Knowledge-Enabled Natural Language Inference — 2021 · Findings of the Association for Computational Linguistics: EMNLP 2021
  95. Inside ASCENT: Exploring a Deep Commonsense Knowledge Base and its Usage in Question Answering — 2021 · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing: System Demonstrations
  96. 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
  97. Modeling Event-Pair Relations in External Knowledge Graphs for Script Reasoning — 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021
  98. Moral Stories: Situated Reasoning about Norms, Intents, Actions, and their Consequences — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  99. NegatER: Unsupervised Discovery of Negatives in Commonsense Knowledge Bases — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  100. On the Opportunities and Risks of Foundation Models — 2021 · arXiv:2108.07258

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