mlsanityData to 7 Oct 2026

GenericsKB: A Knowledge Base of Generic Statements

arXiv 2005.00660 ↗First posted 2 May 2020cs.CL cs.AIcited by 51

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Abstract (arXiv)

We present a new resource for the NLP community, namely a large (3.5M+ sentence) knowledge base of *generic statements*, e.g., "Trees remove carbon dioxide from the atmosphere", collected from multiple corpora. This is the first large resource to contain *naturally occurring* generic sentences, as opposed to extracted or crowdsourced triples, and thus is rich in high-quality, general, semantically complete statements. All GenericsKB sentences are annotated with their topical term, surrounding context (sentences), and a (learned) confidence. We also release GenericsKB-Best (1M+ sentences), containing the best-quality generics in GenericsKB augmented with selected, synthesized generics from WordNet and ConceptNet. In tests on two existing datasets requiring multihop reasoning (OBQA and QASC), we find using GenericsKB can result in higher scores and better explanations than using a much larger corpus. This demonstrates that GenericsKB can be a useful resource for NLP applications, as well as providing data for linguistic studies of generics and their semantics. GenericsKB is available at https://allenai.org/data/genericskb.

Key facts. Cited by 51 papers in the map (data through 7 Oct 2026). First posted on arXiv 2 May 2020.

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Citing papers per year: 2021: 8; 2022: 14; 2023: 10; 2024: 12; 2025: 5; 2026: 2.

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  1. 2021Symbolic Knowledge Distillation: from General Language Models to Commonsense Modelscited by 270
  2. 2024Survey of Cultural Awareness in Language Models: Text and Beyondcited by 101
  3. 2022Extracting Cultural Commonsense Knowledge at Scalecited by 76
  4. 2021The Web Is Your Oyster - Knowledge-Intensive NLP against a Very Large Web Corpuscited by 60
  5. 2024Understanding the Capabilities and Limitations of Large Language Models for Cultural Commonsensecited by 50
  6. 2022e-CARE: a New Dataset for Exploring Explainable Causal Reasoningcited by 47
  7. 2023Won't Get Fooled Again: Answering Questions with False Premisescited by 47
  8. 2023Vera: A General-Purpose Plausibility Estimation Model for Commonsense Statementscited by 44
  9. 2023BoardgameQA: A Dataset for Natural Language Reasoning with Contradictory Informationcited by 42
  10. 2021Human Parity on CommonsenseQA: Augmenting Self-Attention with External Attentioncited by 40
  11. 2025Unveiling Causal Reasoning in Large Language Models: Reality or Mirage?cited by 36
  12. 2021Lawyers are Dishonest? Quantifying Representational Harms in Commonsense Knowledge Resourcescited by 30
38 more
  1. 2021Dimensions of Commonsense Knowledgecited by 29
  2. 2021ASER: Towards Large-scale Commonsense Knowledge Acquisition via Higher-order Selectional Preference over Eventualitiescited by 28
  3. 2024Reasoning Circuits in Language Models: A Mechanistic Interpretation of Syllogistic Inferencecited by 28
  4. 2022REV: Information-Theoretic Evaluation of Free-Text Rationalescited by 22
  5. 2022COPEN: Probing Conceptual Knowledge in Pre-trained Language Modelscited by 21
  6. 2022I2D2: Inductive Knowledge Distillation with NeuroLogic and Self-Imitationcited by 21
  7. 2025JustLogic: A Comprehensive Benchmark for Evaluating Deductive Reasoning in Large Language Modelscited by 21
  8. 2021Refined Commonsense Knowledge from Large-Scale Web Contentscited by 19
  9. 2021Hybrid Autoregressive Inference for Scalable Multi-hop Explanation Regenerationcited by 17
  10. 2022Penguins Don't Fly: Reasoning about Generics through Instantiations and Exceptionscited by 17
  11. 2022Acquiring and Modelling Abstract Commonsense Knowledge via Conceptualizationcited by 17
  12. 2022StereoKG: Data-Driven Knowledge Graph Construction for Cultural Knowledge and Stereotypescited by 14
  13. 2022Retrieval Augmentation for Commonsense Reasoning: A Unified Approachcited by 14
  14. 2022A Thousand Words Are Worth More Than a Picture: Natural Language-Centric Outside-Knowledge Visual Question Answeringcited by 13
  15. 2023Understanding Finetuning for Factual Knowledge Extraction from Language Modelscited by 12
  16. 2024SyntaxShap: Syntax-aware Explainability Method for Text Generationcited by 11
  17. 2022Leveraging Visual Knowledge in Language Tasks: An Empirical Study on Intermediate Pre-training for Cross-modal Knowledge Transfercited by 10
  18. 2022Modelling Commonsense Properties using Pre-Trained Bi-Encoderscited by 9
  19. 2023Distilling Semantic Concept Embeddings from Contrastively Fine-Tuned Language Modelscited by 8
  20. 2024Meaningful Learning: Enhancing Abstract Reasoning in Large Language Models via Generic Fact Guidancecited by 8
  21. 2024Are LLMs classical or nonmonotonic reasoners? Lessons from genericscited by 7
  22. 2022The Lifecycle of "Facts": A Survey of Social Bias in Knowledge Graphscited by 4
  23. 2023Cabbage Sweeter than Cake? Analysing the Potential of Large Language Models for Learning Conceptual Spacescited by 3
  24. 2024ZEBRA: Zero-Shot Example-Based Retrieval Augmentation for Commonsense Question Answeringcited by 3
  25. 2023Adversarial Transformer Language Models for Contextual Commonsense Inferencecited by 2
  26. 2023Mapping and Cleaning Open Commonsense Knowledge Bases with Generative Translationcited by 2
  27. 2024CookingSense: A Culinary Knowledgebase with Multidisciplinary Assertionscited by 2
  28. 2024Diagnosing and Remedying Knowledge Deficiencies in LLMs via Label-free Curricular Meaningful Learningcited by 2
  29. 2023PHALM: Building a Knowledge Graph from Scratch by Prompting Humans and a Language Modelcited by 1
  30. 2023What do Deck Chairs and Sun Hats Have in Common? Uncovering Shared Properties in Large Concept Vocabulariescited by 1
  31. 2024Generics are puzzling. Can language models find the missing piece?cited by 1
  32. 2025Generics and Default Reasoning in Large Language Modelscited by 1
  33. 2025MGen: Millions of Naturally Occurring Generics in Contextcited by 1
  34. 2025Reasoning in Action: MCTS-Driven Knowledge Retrieval for Large Language Modelscited by 1
  35. 2022Generating Intermediate Steps for NLI with Next-Step Supervisioncited by 0
  36. 2024Specifying Genericity through Inclusiveness and Abstractness Continuous Scalescited by 0
  37. 2024Modelling Commonsense Commonalities with Multi-Facet Concept Embeddingscited by 0
  38. 2026How broad is that claim? Mapping Generalisation in NLP Researchcited by 0

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