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TransOMCS: From Linguistic Graphs to Commonsense Knowledge

arXiv 2005.00206 ↗First posted 1 May 2020cs.AI cs.CLcited by 52

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Abstract (arXiv)

Commonsense knowledge acquisition is a key problem for artificial intelligence. Conventional methods of acquiring commonsense knowledge generally require laborious and costly human annotations, which are not feasible on a large scale. In this paper, we explore a practical way of mining commonsense knowledge from linguistic graphs, with the goal of transferring cheap knowledge obtained with linguistic patterns into expensive commonsense knowledge. The result is a conversion of ASER [Zhang et al., 2020], a large-scale selectional preference knowledge resource, into TransOMCS, of the same representation as ConceptNet [Liu and Singh, 2004] but two orders of magnitude larger. Experimental results demonstrate the transferability of linguistic knowledge to commonsense knowledge and the effectiveness of the proposed approach in terms of quantity, novelty, and quality. TransOMCS is publicly available at: https://github.com/HKUST-KnowComp/TransOMCS.

Key facts. Cited by 52 papers in the map (data through 7 Oct 2026). First posted on arXiv 1 May 2020.

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Citing papers per year: 2021: 13; 2022: 17; 2023: 10; 2024: 10; 2025: 1; 2026: 1.

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  1. 2023Unifying Large Language Models and Knowledge Graphs: A Roadmapcited by 663
  2. 2021Symbolic Knowledge Distillation: from General Language Models to Commonsense Modelscited by 270
  3. 2022K-LITE: Learning Transferable Visual Models with External Knowledgecited by 79
  4. 2022Extracting Cultural Commonsense Knowledge at Scalecited by 76
  5. 2022MAVEN-ERE: A Unified Large-scale Dataset for Event Coreference, Temporal, Causal, and Subevent Relation Extractioncited by 65
  6. 2024Do LLMs Have Distinct and Consistent Personality? TRAIT: Personality Testset designed for LLMs with Psychometricscited by 56
  7. 2022A Survey of Knowledge-Intensive NLP with Pre-Trained Language Modelscited by 30
  8. 2021ASER: Towards Large-scale Commonsense Knowledge Acquisition via Higher-order Selectional Preference over Eventualitiescited by 28
  9. 2021DISCOS: Bridging the Gap between Discourse Knowledge and Commonsense Knowledgecited by 26
  10. 2022Knowledge-in-Context: Towards Knowledgeable Semi-Parametric Language Modelscited by 24
  11. 2022FolkScope: Intention Knowledge Graph Construction for E-commerce Commonsense Discoverycited by 23
  12. 2022Open-world Story Generation with Structured Knowledge Enhancement: A Comprehensive Surveycited by 21
38 more
  1. 2021Modeling Event Plausibility with Consistent Conceptual Abstractioncited by 20
  2. 2022BertNet: Harvesting Knowledge Graphs with Arbitrary Relations from Pretrained Language Modelscited by 20
  3. 2024Cultural Commonsense Knowledge for Intercultural Dialoguescited by 20
  4. 2021Joint Biomedical Entity and Relation Extraction with Knowledge-Enhanced Collective Inferencecited by 19
  5. 2021Refined Commonsense Knowledge from Large-Scale Web Contentscited by 19
  6. 2022Acquiring and Modelling Abstract Commonsense Knowledge via Conceptualizationcited by 17
  7. 2023Improving Large Language Models in Event Relation Logical Predictioncited by 17
  8. 2021From Discourse to Narrative: Knowledge Projection for Event Relation Extractioncited by 14
  9. 2024Recent Advances in Multimodal Affective Computing: An NLP Perspectivecited by 12
  10. 2023ACCENT: An Automatic Event Commonsense Evaluation Metric for Open-Domain Dialogue Systemscited by 11
  11. 2021What Can Knowledge Bring to Machine Learning? -- A Survey of Low-shot Learning for Structured Datacited by 10
  12. 2024mCSQA: Multilingual Commonsense Reasoning Dataset with Unified Creation Strategy by Language Models and Humanscited by 10
  13. 2021Does Pre-training Induce Systematic Inference? How Masked Language Models Acquire Commonsense Knowledgecited by 8
  14. 2022C3KG: A Chinese Commonsense Conversation Knowledge Graphcited by 8
  15. 2022UnCommonSense: Informative Negative Knowledge about Everyday Conceptscited by 8
  16. 2023NovaCOMET: Open Commonsense Foundation Models with Symbolic Knowledge Distillationcited by 8
  17. 2024Are LLMs Good Annotators for Discourse-level Event Relation Extraction?cited by 7
  18. 2022Zero-Shot Prompting for Implicit Intent Prediction and Recommendation with Commonsense Reasoningcited by 6
  19. 2022Dense-ATOMIC: Towards Densely-connected ATOMIC with High Knowledge Coverage and Massive Multi-hop Pathscited by 6
  20. 2023Harvesting Event Schemas from Large Language Modelscited by 6
  21. 2023Making Large Language Models Better Knowledge Miners for Online Marketing with Progressive Prompting Augmentationcited by 5
  22. 2024VCD: A Dataset for Visual Commonsense Discovery in Imagescited by 5
  23. 2022Commonsense Knowledge Salience Evaluation with a Benchmark Dataset in E-commercecited by 4
  24. 2023CommonsenseVIS: Visualizing and Understanding Commonsense Reasoning Capabilities of Natural Language Modelscited by 2
  25. 2021Boosting Span-based Joint Entity and Relation Extraction via Squence Tagging Mechanismcited by 1
  26. 2021Open Rule Inductioncited by 1
  27. 2022Rethinking Offensive Text Detection as a Multi-Hop Reasoning Problemcited by 1
  28. 2022IDIAPers @ Causal News Corpus 2022: Extracting Cause-Effect-Signal Triplets via Pre-trained Autoregressive Language Modelcited by 1
  29. 2023Snowman: A Million-scale Chinese Commonsense Knowledge Graph Distilled from Foundation Modelcited by 1
  30. 2023PHALM: Building a Knowledge Graph from Scratch by Prompting Humans and a Language Modelcited by 1
  31. 2023IEKG: A Commonsense Knowledge Graph for Idiomatic Expressionscited by 1
  32. 2024Synergizing Machine Learning & Symbolic Methods: A Survey on Hybrid Approaches to Natural Language Processingcited by 1
  33. 2025Rethinking industrial artificial intelligence: a unified foundation frameworkcited by 1
  34. 2021Commonsense Knowledge Mining from Term Definitionscited by 0
  35. 2021Commonsense Knowledge Base Construction in the Age of Big Datacited by 0
  36. 2022A Two-Phase Paradigm for Joint Entity-Relation Extractioncited by 0
  37. 2024EntailE: Introducing Textual Entailment in Commonsense Knowledge Graph Completioncited by 0
  38. 2024K-Act2Emo: Korean Commonsense Knowledge Graph for Indirect Emotional Expressioncited by 0

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