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ASER: A Large-scale Eventuality Knowledge Graph

arXiv 1905.00270 ↗First posted 1 May 2019cs.AI cs.CLcited by 89

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Abstract (arXiv)

Understanding human's language requires complex world knowledge. However, existing large-scale knowledge graphs mainly focus on knowledge about entities while ignoring knowledge about activities, states, or events, which are used to describe how entities or things act in the real world. To fill this gap, we develop ASER (activities, states, events, and their relations), a large-scale eventuality knowledge graph extracted from more than 11-billion-token unstructured textual data. ASER contains 15 relation types belonging to five categories, 194-million unique eventualities, and 64-million unique edges among them. Both intrinsic and extrinsic evaluations demonstrate the quality and effectiveness of ASER.

Key facts. Cited by 89 papers in the map (data through 7 Oct 2026). First posted on arXiv 1 May 2019.

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Citing papers per year: 2021: 17; 2022: 24; 2023: 23; 2024: 16; 2025: 7; 2026: 2.

89 papers.

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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. 2022PromptCap: Prompt-Guided Task-Aware Image Captioningcited by 104
  4. 2021DEGREE: A Data-Efficient Generation-Based Event Extraction Modelcited by 82
  5. 2023Boosting Language Models Reasoning with Chain-of-Knowledge Promptingcited by 77
  6. 2022Extracting Cultural Commonsense Knowledge at Scalecited by 76
  7. 2024KAG: Boosting LLMs in Professional Domains via Knowledge Augmented Generationcited by 67
  8. 2024DALK: Dynamic Co-Augmentation of LLMs and KG to answer Alzheimer's Disease Questions with Scientific Literaturecited by 50
  9. 2022ClarET: Pre-training a Correlation-Aware Context-To-Event Transformer for Event-Centric Generation and Classificationcited by 45
  10. 2023ChatGPT Evaluation on Sentence Level Relations: A Focus on Temporal, Causal, and Discourse Relationscited by 39
  11. 2021Guided Generation of Cause and Effectcited by 33
  12. 2021Back to Square One: Artifact Detection, Training and Commonsense Disentanglement in the Winograd Schemacited by 32
38 more
  1. 2022A Survey of Knowledge-Intensive NLP with Pre-Trained Language Modelscited by 30
  2. 2021ASER: Towards Large-scale Commonsense Knowledge Acquisition via Higher-order Selectional Preference over Eventualitiescited by 28
  3. 2023TextEE: Benchmark, Reevaluation, Reflections, and Future Challenges in Event Extractioncited by 27
  4. 2021DISCOS: Bridging the Gap between Discourse Knowledge and Commonsense Knowledgecited by 26
  5. 2025Toward Generalizable Evaluation in the LLM Era: A Survey Beyond Benchmarkscited by 26
  6. 2023CAT: A Contextualized Conceptualization and Instantiation Framework for Commonsense Reasoningcited by 25
  7. 2022FolkScope: Intention Knowledge Graph Construction for E-commerce Commonsense Discoverycited by 23
  8. 2025AutoSchemaKG: Autonomous Knowledge Graph Construction through Dynamic Schema Induction from Web-Scale Corporacited by 23
  9. 2023COLA: Contextualized Commonsense Causal Reasoning from the Causal Inference Perspectivecited by 22
  10. 2022Open-world Story Generation with Structured Knowledge Enhancement: A Comprehensive Surveycited by 21
  11. 2023Multimodal Event Transformer for Image-guided Story Ending Generationcited by 21
  12. 2023Complex Query Answering on Eventuality Knowledge Graph with Implicit Logical Constraintscited by 21
  13. 2021Modeling Event Plausibility with Consistent Conceptual Abstractioncited by 20
  14. 2022BertNet: Harvesting Knowledge Graphs with Arbitrary Relations from Pretrained Language Modelscited by 20
  15. 2021Benchmarking Knowledge-Enhanced Commonsense Question Answering via Knowledge-to-Text Transformationcited by 19
  16. 2021Refined Commonsense Knowledge from Large-Scale Web Contentscited by 19
  17. 2021What is Event Knowledge Graph: A Surveycited by 19
  18. 2023AMPERE: AMR-Aware Prefix for Generation-Based Event Argument Extraction Modelcited by 19
  19. 2021Social Recommendation with Self-Supervised Metagraph Informax Networkcited by 18
  20. 2023The Devil is in the Details: On the Pitfalls of Event Extraction Evaluationcited by 18
  21. 2024Graph Data Condensation via Self-expressive Graph Structure Reconstructioncited by 18
  22. 2022Acquiring and Modelling Abstract Commonsense Knowledge via Conceptualizationcited by 17
  23. 2023AbsPyramid: Benchmarking the Abstraction Ability of Language Models with a Unified Entailment Graphcited by 17
  24. 2021Benchmarking Commonsense Knowledge Base Population with an Effective Evaluation Datasetcited by 15
  25. 2021From Discourse to Narrative: Knowledge Projection for Event Relation Extractioncited by 14
  26. 2024AbsInstruct: Eliciting Abstraction Ability from LLMs through Explanation Tuning with Plausibility Estimationcited by 14
  27. 2022Mitigating Covertly Unsafe Text within Natural Language Systemscited by 13
  28. 2025Top Ten Challenges Towards Agentic Neural Graph Databasescited by 13
  29. 2021COINS: Dynamically Generating COntextualized Inference Rules for Narrative Story Completioncited by 12
  30. 2021A Survey on Deep Learning Event Extraction: Approaches and Applicationscited by 12
  31. 2022Improving Event Representation via Simultaneous Weakly Supervised Contrastive Learning and Clusteringcited by 11
  32. 2023ACCENT: An Automatic Event Commonsense Evaluation Metric for Open-Domain Dialogue Systemscited by 11
  33. 2023Towards Top-Down Reasoning: An Explainable Multi-Agent Approach for Visual Question Answeringcited by 11
  34. 2024IntentionQA: A Benchmark for Evaluating Purchase Intention Comprehension Abilities of Language Models in E-commercecited by 11
  35. 2022SubeventWriter: Iterative Sub-event Sequence Generation with Coherence Controllercited by 10
  36. 2023Traffic-Domain Video Question Answering with Automatic Captioningcited by 10
  37. 2023An Overview Of Temporal Commonsense Reasoning and Acquisitioncited by 10
  38. 2024mCSQA: Multilingual Commonsense Reasoning Dataset with Unified Creation Strategy by Language Models and Humanscited by 10

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