mlsanityData to 7 Oct 2026

CSKG: The CommonSense Knowledge Graph

arXiv 2012.11490 ↗First posted 21 Dec 2020cs.AI cs.SIcited by 45

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Abstract (arXiv)

Sources of commonsense knowledge support applications in natural language understanding, computer vision, and knowledge graphs. Given their complementarity, their integration is desired. Yet, their different foci, modeling approaches, and sparse overlap make integration difficult. In this paper, we consolidate commonsense knowledge by following five principles, which we apply to combine seven key sources into a first integrated CommonSense Knowledge Graph (CSKG). We analyze CSKG and its various text and graph embeddings, showing that CSKG is well-connected and that its embeddings provide a useful entry point to the graph. We demonstrate how CSKG can provide evidence for generalizable downstream reasoning and for pre-training of language models. CSKG and all its embeddings are made publicly available to support further research on commonsense knowledge integration and reasoning.

Key facts. Cited by 45 papers in the map (data through 7 Oct 2026). First posted on arXiv 21 Dec 2020.

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Citing papers per year: 2021: 8; 2022: 17; 2023: 11; 2024: 5; 2025: 2; 2026: 2.

45 papers.

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  1. 2023Unifying Large Language Models and Knowledge Graphs: A Roadmapcited by 663
  2. 2022Extracting Cultural Commonsense Knowledge at Scalecited by 76
  3. 2021Relational World Knowledge Representation in Contextual Language Models: A Reviewcited by 31
  4. 2022A Survey of Knowledge-Intensive NLP with Pre-Trained Language Modelscited by 30
  5. 2021Dimensions of Commonsense Knowledgecited by 29
  6. 2025GraphRAG under Firecited by 23
  7. 2021Refined Commonsense Knowledge from Large-Scale Web Contentscited by 19
  8. 2022A Unified End-to-End Retriever-Reader Framework for Knowledge-based VQAcited by 18
  9. 2023FIRE: Food Image to REcipe generationcited by 18
  10. 2023BRAINTEASER: Lateral Thinking Puzzles for Large Language Modelscited by 18
  11. 2022Acquiring and Modelling Abstract Commonsense Knowledge via Conceptualizationcited by 17
  12. 2021Benchmarking Commonsense Knowledge Base Population with an Effective Evaluation Datasetcited by 15
33 more
  1. 2023A Study of Situational Reasoning for Traffic Understandingcited by 13
  2. 2022Robust and Explainable Identification of Logical Fallacies in Natural Language Argumentscited by 12
  3. 2023Knowledge-enhanced Agents for Interactive Text Gamescited by 10
  4. 2022Abstractive Meeting Summarization: A Surveycited by 9
  5. 2022KALM: Knowledge-Aware Integration of Local, Document, and Global Contexts for Long Document Understandingcited by 9
  6. 2024ChroKnowledge: Unveiling Chronological Knowledge of Language Models in Multiple Domainscited by 7
  7. 2023Knowledge Graphs Queryingcited by 5
  8. 2023Causal Question Answering with Reinforcement Learningcited by 5
  9. 2021Natural Language Processing with Commonsense Knowledge: A Surveycited by 4
  10. 2022An Empirical Investigation of Commonsense Self-Supervision with Knowledge Graphscited by 4
  11. 2024Visual Concept Networks: A Graph-Based Approach to Detecting Anomalous Data in Deep Neural Networkscited by 4
  12. 2021Inside ASCENT: Exploring a Deep Commonsense Knowledge Base and its Usage in Question Answeringcited by 3
  13. 2022Generalizable Neuro-symbolic Systems for Commonsense Question Answeringcited by 3
  14. 2022CoSe-Co: Text Conditioned Generative CommonSense Contextualizercited by 3
  15. 2022GEMS: Scene Expansion using Generative Models of Graphscited by 3
  16. 2021Commonsense Knowledge in Word Associations and ConceptNetcited by 2
  17. 2022Leveraging class abstraction for commonsense reinforcement learning via residual policy gradient methodscited by 2
  18. 2022Dual Embodied-Symbolic Concept Representations for Deep Learningcited by 2
  19. 2022Knowledge-based Entity Prediction for Improved Machine Perception in Autonomous Systemscited by 2
  20. 2022Utilizing Background Knowledge for Robust Reasoning over Traffic Situationscited by 2
  21. 2023Transferring Procedural Knowledge across Commonsense Taskscited by 2
  22. 2022Do Children Texts Hold The Key To Commonsense Knowledge?cited by 1
  23. 2023Knowledge Graphs are not Created Equal: Exploring the Properties and Structure of Real KGscited by 1
  24. 2023IEKG: A Commonsense Knowledge Graph for Idiomatic Expressionscited by 1
  25. 2024Rule or Story, Which is a Better Commonsense Expression for Talking with Large Language Models?cited by 1
  26. 2024Scalable Frame-based Construction of Sociocultural NormBases for Socially-Aware Dialoguescited by 1
  27. 2025Knowledge Graph Enhanced Generative Multi-modal Models for Class-Incremental Learningcited by 1
  28. 2026UrbanGraphEmbeddings: Learning and Evaluating Spatially Grounded Multimodal Embeddings for Urban Sciencecited by 1
  29. 2021Commonsense Knowledge Base Construction in the Age of Big Datacited by 0
  30. 2022A Probabilistic-Logic based Commonsense Representation Framework for Modelling Inferences with Multiple Antecedents and Varying Likelihoodscited by 0
  31. 2023RESTORE: Graph Embedding Assessment Through Reconstructioncited by 0
  32. 2024Standardizing Knowledge Engineering Practices with a Reference Architecturecited by 0
  33. 2026MMCOMET: A Large-Scale Multimodal Commonsense Knowledge Graph for Contextual Reasoningcited by 0