---
title: "Who cites COMET-ATOMIC 2020: On Symbolic and Neural…"
description: "The papers of the Elamur Research library that cite «COMET-ATOMIC 2020: On Symbolic and Neural Commonsense Knowledge Graphs», found in their…"
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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](https://md.research.elamur.ai/free/en/papers/hwang-2020-comet-atomic-2020-symbolic-neural/)

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1. [Free Lunch for Efficient Textual Commonsense Integration in Language Models](https://aclanthology.org/2023.acl-long.208/) *— 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](https://aclanthology.org/2023.emnlp-main.496/) *— 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](https://aclanthology.org/2023.emnlp-main.1035/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
4. [Generative Emotion Cause Triplet Extraction in Conversations with Commonsense Knowledge](https://aclanthology.org/2023.findings-emnlp.260/) *— 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](https://aclanthology.org/2023.findings-emnlp.736/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
6. [Harnessing Black-Box Control to Boost Commonsense in LM's Generation](https://aclanthology.org/2023.emnlp-main.329/) *— 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](https://aclanthology.org/2023.findings-emnlp.433/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
8. [Hidden Schema Networks](https://aclanthology.org/2023.acl-long.263/) *— 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](https://aclanthology.org/2023.acl-long.535/) *— 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](https://aclanthology.org/2023.emnlp-main.881/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
11. [Improving Affective Event Classification with Multi-Perspective Knowledge Injection](https://aclanthology.org/2023.ccl-1.66/) *— 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](https://aclanthology.org/2023.acl-long.566/) *— 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](https://aclanthology.org/2023.ijcnlp-demo.4/) *— 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](https://aclanthology.org/2023.findings-eacl.10/) *— 2023 · Findings of the Association for Computational Linguistics: EACL 2023*
15. [Modeling Empathic Similarity in Personal Narratives](https://aclanthology.org/2023.emnlp-main.383/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
16. [Natural Language Reasoning, A Survey](https://arxiv.org/abs/2303.14725) *— 2023 · arXiv:2303.14725*
17. [Neural Graph Reasoning: Complex Logical Query Answering Meets Graph Databases](https://arxiv.org/abs/2303.14617) *— 2023 · arXiv:2303.14617*
18. [NormMark: A Weakly Supervised Markov Model for Socio-cultural Norm Discovery](https://aclanthology.org/2023.findings-acl.314/) *— 2023 · Findings of the Association for Computational Linguistics: ACL 2023*
19. [NovaCOMET: Open Commonsense Foundation Models with Symbolic Knowledge Distillation](https://aclanthology.org/2023.findings-emnlp.80/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
20. [PASTA: A Dataset for Modeling PArticipant STAtes in Narratives](https://aclanthology.org/2023.tacl-1.73/) *— 2023 · Transactions of the Association for Computational Linguistics*
21. [PeaCoK: Persona Commonsense Knowledge for Consistent and Engaging Narratives](https://aclanthology.org/2023.acl-long.362/) *— 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](https://aclanthology.org/2023.acl-long.404/) *— 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](https://aclanthology.org/2023.eacl-main.192/) *— 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](https://aclanthology.org/2023.eacl-main.81/) *— 2023 · Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics*
25. [RECKONING: Reasoning through Dynamic Knowledge Encoding](https://arxiv.org/abs/2305.06349) *— 2023 · arXiv:2305.06349*
26. [Reasoning before Responding: Integrating Commonsense-based Causality Explanation for Empathetic Response Generation](https://aclanthology.org/2023.sigdial-1.60/) *— 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](https://aclanthology.org/2023.ijcnlp-main.16/) *— 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](https://aclanthology.org/2023.emnlp-main.799/) *— 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](https://aclanthology.org/2023.acl-long.338/) *— 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](https://aclanthology.org/2023.eacl-main.271/) *— 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](https://arxiv.org/abs/2308.07902) *— 2023 · arXiv:2308.07902*
32. [TransESC: Smoothing Emotional Support Conversation via Turn-Level State Transition](https://aclanthology.org/2023.findings-acl.420/) *— 2023 · Findings of the Association for Computational Linguistics: ACL 2023*
33. [Uncovering Implicit Inferences for Improved Relational Argument Mining](https://aclanthology.org/2023.eacl-main.182/) *— 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](https://arxiv.org/abs/2306.08302) *— 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](https://arxiv.org/abs/2309.00779) *— 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](https://aclanthology.org/2023.emnlp-main.81/) *— 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](https://aclanthology.org/2023.eacl-main.125/) *— 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](https://aclanthology.org/2023.findings-acl.17/) *— 2023 · Findings of the Association for Computational Linguistics: ACL 2023*
39. [kogito: A Commonsense Knowledge Inference Toolkit](https://aclanthology.org/2023.eacl-demo.12/) *— 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](https://aclanthology.org/2022.findings-acl.107/) *— 2022 · Findings of the Association for Computational Linguistics: ACL 2022*
41. [CICERO: A Dataset for Contextualized Commonsense Inference in Dialogues](https://aclanthology.org/2022.acl-long.344/) *— 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](https://aclanthology.org/2022.emnlp-main.628/) *— 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](https://aclanthology.org/2022.coling-1.15/) *— 2022 · Proceedings of the 29th International Conference on Computational Linguistics*
44. [COPA-SSE: Semi-structured Explanations for Commonsense Reasoning](https://aclanthology.org/2022.lrec-1.425/) *— 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](https://aclanthology.org/2022.acl-long.183/) *— 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](https://aclanthology.org/2022.findings-acl.93/) *— 2022 · Findings of the Association for Computational Linguistics: ACL 2022*
47. [ComFact: A Benchmark for Linking Contextual Commonsense Knowledge](https://aclanthology.org/2022.findings-emnlp.120/) *— 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022*
48. [Commonsense Knowledge Reasoning and Generation with Pre-trained Language Models: A Survey](https://arxiv.org/abs/2201.12438) *— 2022 · arXiv:2201.12438*
49. [Conditional set generation using Seq2seq models](https://aclanthology.org/2022.emnlp-main.324/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
50. [DREAM: Improving Situational QA by First Elaborating the Situation](https://aclanthology.org/2022.naacl-main.82/) *— 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](https://aclanthology.org/2022.emnlp-main.703/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
52. [Do Children Texts Hold The Key To Commonsense Knowledge?](https://aclanthology.org/2022.emnlp-main.752/) *— 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](https://aclanthology.org/2022.naacl-main.337/) *— 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](https://aclanthology.org/2022.emnlp-main.129/) *— 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](https://aclanthology.org/2022.acl-long.85/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
56. [Extracting Cultural Commonsense Knowledge at Scale](https://arxiv.org/abs/2210.07763) *— 2022 · arXiv:2210.07763 · ACM Web Conference 2023*
57. [Fire Burns, Sword Cuts: Commonsense Inductive Bias for Exploration in Text-based Games](https://aclanthology.org/2022.acl-short.56/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)*
58. [Generative Entity Typing with Curriculum Learning](https://aclanthology.org/2022.emnlp-main.199/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
59. [Guiding Neural Story Generation with Reader Models](https://aclanthology.org/2022.findings-emnlp.526/) *— 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](https://aclanthology.org/2022.coling-1.68/) *— 2022 · Proceedings of the 29th International Conference on Computational Linguistics*
61. [Improving Event Representation via Simultaneous Weakly Supervised Contrastive Learning and Clustering](https://aclanthology.org/2022.acl-long.216/) *— 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](https://aclanthology.org/2022.clasp-1.4/) *— 2022 · Proceedings of the 2022 CLASP Conference on (Dis)embodiment*
63. [Inferring the Reader: Guiding Automated Story Generation with Commonsense Reasoning](https://aclanthology.org/2022.findings-emnlp.520/) *— 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022*
64. [Knowledge Enhanced Reflection Generation for Counseling Dialogues](https://aclanthology.org/2022.acl-long.221/) *— 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](https://aclanthology.org/2022.csrr-1.6/) *— 2022 · Proceedings of the First Workshop on Commonsense Representation and Reasoning (CSRR 2022)*
66. [Knowledge-Augmented Methods for Natural Language Processing](https://aclanthology.org/2022.acl-tutorials.3/) *— 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](https://aclanthology.org/2022.naacl-main.172/) *— 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](https://aclanthology.org/2022.findings-acl.119/) *— 2022 · Findings of the Association for Computational Linguistics: ACL 2022*
69. [MICO: A Multi-alternative Contrastive Learning Framework for Commonsense Knowledge Representation](https://aclanthology.org/2022.findings-emnlp.96/) *— 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022*
70. [MMEKG: Multi-modal Event Knowledge Graph towards Universal Representation across Modalities](https://aclanthology.org/2022.acl-demo.23/) *— 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](https://aclanthology.org/2022.coling-1.548/) *— 2022 · Proceedings of the 29th International Conference on Computational Linguistics*
72. [Modelling Commonsense Properties Using Pre-Trained Bi-Encoders](https://aclanthology.org/2022.coling-1.349/) *— 2022 · Proceedings of the 29th International Conference on Computational Linguistics*
73. [Modularized Transfer Learning with Multiple Knowledge Graphs for Zero-shot Commonsense Reasoning](https://aclanthology.org/2022.naacl-main.163/) *— 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](https://aclanthology.org/2022.aacl-main.26/) *— 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](https://aclanthology.org/2022.emnlp-main.86/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
76. [PaCo: Preconditions Attributed to Commonsense Knowledge](https://aclanthology.org/2022.findings-emnlp.505/) *— 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022*
77. [PseudoReasoner: Leveraging Pseudo Labels for Commonsense Knowledge Base Population](https://aclanthology.org/2022.findings-emnlp.246/) *— 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022*
78. [Reflect, Not Reflex: Inference-Based Common Ground Improves Dialogue Response Quality](https://aclanthology.org/2022.emnlp-main.714/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
79. [SafeText: A Benchmark for Exploring Physical Safety in Language Models](https://aclanthology.org/2022.emnlp-main.154/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
80. [Symbolic Knowledge Distillation: from General Language Models to Commonsense Models](https://aclanthology.org/2022.naacl-main.341/) *— 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](https://aclanthology.org/2022.findings-emnlp.42/) *— 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022*
82. [Think Before You Speak: Explicitly Generating Implicit Commonsense Knowledge for Response Generation](https://aclanthology.org/2022.acl-long.88/) *— 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](https://aclanthology.org/2022.emnlp-main.136/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
84. [Towards Explaining Subjective Ground of Individuals on Social Media](https://aclanthology.org/2022.findings-emnlp.126/) *— 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022*
85. [Using Commonsense Knowledge to Answer Why-Questions](https://aclanthology.org/2022.emnlp-main.79/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
86. [Benchmarking Commonsense Knowledge Base Population with an Effective Evaluation Dataset](https://aclanthology.org/2021.emnlp-main.705/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
87. [CEM: Commonsense-aware Empathetic Response Generation](https://arxiv.org/abs/2109.05739) *— 2021 · arXiv:2109.05739 · Proceedings of the AAAI Conference on Artificial Intelligence 2022*
88. [CIDER: Commonsense Inference for Dialogue Explanation and Reasoning](https://aclanthology.org/2021.sigdial-1.33/) *— 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](https://arxiv.org/abs/2112.11941) *— 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](https://aclanthology.org/2021.conll-1.38/) *— 2021 · Proceedings of the 25th Conference on Computational Natural Language Learning*
91. [Do Language Models Perform Generalizable Commonsense Inference?](https://aclanthology.org/2021.findings-acl.322/) *— 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021*
92. [ExplaGraphs: An Explanation Graph Generation Task for Structured Commonsense Reasoning](https://aclanthology.org/2021.emnlp-main.609/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
93. [Flexible Generation of Natural Language Deductions](https://aclanthology.org/2021.emnlp-main.506/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
94. [Improving Unsupervised Commonsense Reasoning Using Knowledge-Enabled Natural Language Inference](https://aclanthology.org/2021.findings-emnlp.420/) *— 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](https://aclanthology.org/2021.acl-demo.5/) *— 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](https://aclanthology.org/2021.naacl-main.138/) *— 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](https://aclanthology.org/2021.findings-acl.403/) *— 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021*
98. [Moral Stories: Situated Reasoning about Norms, Intents, Actions, and their Consequences](https://aclanthology.org/2021.emnlp-main.54/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
99. [NegatER: Unsupervised Discovery of Negatives in Commonsense Knowledge Bases](https://aclanthology.org/2021.emnlp-main.456/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
100. [On the Opportunities and Risks of Foundation Models](https://arxiv.org/abs/2108.07258) *— 2021 · arXiv:2108.07258*

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