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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.mova.elamur.ai/free/en/docs/papers/hwang-2020-comet-atomic-2020-symbolic-neural/)

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1. [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*
2. [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*
3. [Commonsense Knowledge Reasoning and Generation with Pre-trained Language Models: A Survey](https://arxiv.org/abs/2201.12438) *— 2022 · arXiv:2201.12438*
4. [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*
5. [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*
6. [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*
7. [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*
8. [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*
9. [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*
10. [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)*
11. [Extracting Cultural Commonsense Knowledge at Scale](https://arxiv.org/abs/2210.07763) *— 2022 · arXiv:2210.07763 · ACM Web Conference 2023*
12. [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)*
13. [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*
14. [Guiding Neural Story Generation with Reader Models](https://aclanthology.org/2022.findings-emnlp.526/) *— 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022*
15. [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)*
16. [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*
17. [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)*
18. [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)*
19. [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*
20. [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*
21. [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*
22. [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*
23. [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*
24. [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*
25. [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*
26. [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)*
27. [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*
28. [PaCo: Preconditions Attributed to Commonsense Knowledge](https://aclanthology.org/2022.findings-emnlp.505/) *— 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022*
29. [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*
30. [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*
31. [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*
32. [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*
33. [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*
34. [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)*
35. [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*
36. [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*
37. [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*
38. [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*
39. [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*
40. [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/*
41. [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*
42. [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*
43. [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*
44. [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*
45. [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*
46. [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*
47. [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*
48. [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*
49. [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*
50. [On the Opportunities and Risks of Foundation Models](https://arxiv.org/abs/2108.07258) *— 2021 · arXiv:2108.07258*
51. [Past, Present, and Future: Conversational Emotion Recognition through Structural Modeling of Psychological Knowledge](https://aclanthology.org/2021.findings-emnlp.104/) *— 2021 · Findings of the Association for Computational Linguistics: EMNLP 2021*
52. [Recent Advances in Natural Language Processing via Large Pre-Trained Language Models: A Survey](https://arxiv.org/abs/2111.01243) *— 2021 · arXiv:2111.01243*
53. [Refined Commonsense Knowledge from Large-Scale Web Contents](https://arxiv.org/abs/2112.04596) *— 2021 · arXiv:2112.04596 (IEEE Transactions on Knowledge and Data Engineering, 2022)*
54. [Relational World Knowledge Representation in Contextual Language Models: A Review](https://aclanthology.org/2021.emnlp-main.81/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
55. [STaCK: Sentence Ordering with Temporal Commonsense Knowledge](https://aclanthology.org/2021.emnlp-main.683/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
56. [Shortcutted Commonsense: Data Spuriousness in Deep Learning of Commonsense Reasoning](https://aclanthology.org/2021.emnlp-main.113/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
57. [SituatedQA: Incorporating Extra-Linguistic Contexts into QA](https://aclanthology.org/2021.emnlp-main.586/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
58. [Think Before You Speak: Learning to Generate Implicit Knowledge for Response Generation by Self-Talk](https://aclanthology.org/2021.nlp4convai-1.23/) *— 2021 · Proceedings of the 3rd Workshop on Natural Language Processing for Conversational AI*
59. [WhyAct: Identifying Action Reasons in Lifestyle Vlogs](https://aclanthology.org/2021.emnlp-main.392/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
60. [``I''m Not Mad'''': Commonsense Implications of Negation and Contradiction](https://aclanthology.org/2021.naacl-main.346/) *— 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
61. [proScript: Partially Ordered Scripts Generation](https://aclanthology.org/2021.findings-emnlp.184/) *— 2021 · Findings of the Association for Computational Linguistics: EMNLP 2021*
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