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Jointly Multiple Events Extraction via Attention-based Graph Information Aggregation

arXiv 1809.09078 ↗First posted 24 Sep 2018cs.CLcited by 73

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Abstract (arXiv)

Event extraction is of practical utility in natural language processing. In the real world, it is a common phenomenon that multiple events existing in the same sentence, where extracting them are more difficult than extracting a single event. Previous works on modeling the associations between events by sequential modeling methods suffer a lot from the low efficiency in capturing very long-range dependencies. In this paper, we propose a novel Jointly Multiple Events Extraction (JMEE) framework to jointly extract multiple event triggers and arguments by introducing syntactic shortcut arcs to enhance information flow and attention-based graph convolution networks to model graph information. The experiment results demonstrate that our proposed framework achieves competitive results compared with state-of-the-art methods.

Key facts. Cited by 73 papers in the map (data through 13 Oct 2026). First posted on arXiv 24 Sep 2018.

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Citing papers per year: 2021: 22; 2022: 22; 2023: 16; 2024: 8; 2025: 5.

73 papers.

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  1. 2021Text2Event: Controllable Sequence-to-Structure Generation for End-to-end Event Extractioncited by 129
  2. 2022Generative Knowledge Graph Construction: A Reviewcited by 49
  3. 2022Dynamic Prefix-Tuning for Generative Template-based Event Extractioncited by 35
  4. 2021Document-level Event Extraction via Heterogeneous Graph-based Interaction Model with a Trackercited by 29
  5. 2021Query and Extract: Refining Event Extraction as Type-oriented Binary Decodingcited by 26
  6. 2022Ontology-enhanced Prompt-tuning for Few-shot Learningcited by 24
  7. 2025Theory of Mind in Large Language Models: Assessment and Enhancementcited by 24
  8. 2021OntoED: Low-resource Event Detection with Ontology Embeddingcited by 23
  9. 2023Causal Reasoning of Entities and Events in Procedural Textscited by 23
  10. 2021Joint Biomedical Entity and Relation Extraction with Knowledge-Enhanced Collective Inferencecited by 19
  11. 2022OneEE: A One-Stage Framework for Fast Overlapping and Nested Event Extractioncited by 18
  12. 2023The Devil is in the Details: On the Pitfalls of Event Extraction Evaluationcited by 18
38 more
  1. 2022A Two-Stream AMR-enhanced Model for Document-level Event Argument Extractioncited by 16
  2. 2021MLBiNet: A Cross-Sentence Collective Event Detection Networkcited by 15
  3. 2021CasEE: A Joint Learning Framework with Cascade Decoding for Overlapping Event Extractioncited by 15
  4. 2021Efficient Document-level Event Extraction via Pseudo-Trigger-aware Pruned Complete Graphcited by 13
  5. 2021GLaRA: Graph-based Labeling Rule Augmentation for Weakly Supervised Named Entity Recognitioncited by 12
  6. 2021A Survey on Deep Learning Event Extraction: Approaches and Applicationscited by 12
  7. 2022Efficient Zero-shot Event Extraction with Context-Definition Alignmentcited by 11
  8. 2023Training Multimedia Event Extraction With Generated Images and Captionscited by 11
  9. 2021Reinforcement Learning-based Dialogue Guided Event Extraction to Exploit Argument Relationscited by 10
  10. 2022CrudeOilNews: An Annotated Crude Oil News Corpus for Event Extractioncited by 10
  11. 2023Enhancing Document-level Event Argument Extraction with Contextual Clues and Role Relevancecited by 10
  12. 2022RAAT: Relation-Augmented Attention Transformer for Relation Modeling in Document-Level Event Extractioncited by 8
  13. 2023Global Constraints with Prompting for Zero-Shot Event Argument Classificationcited by 8
  14. 2022CUP: Curriculum Learning based Prompt Tuning for Implicit Event Argument Extractioncited by 7
  15. 2021Search For Deep Graph Neural Networkscited by 6
  16. 2021Generating Disentangled Arguments with Prompts: A Simple Event Extraction Framework that Workscited by 6
  17. 2021Event Extraction by Associating Event Types and Argument Rolescited by 5
  18. 2021An overview of event extraction and its applicationscited by 5
  19. 2022Improving Zero-Shot Event Extraction via Sentence Simplificationcited by 5
  20. 2022Enhancing Event-Level Sentiment Analysis with Structured Argumentscited by 5
  21. 2025Event Extraction in Large Language Modelcited by 5
  22. 2022EventGraph: Event Extraction as Semantic Graph Parsingcited by 4
  23. 2024QAEA-DR: A Unified Text Augmentation Framework for Dense Retrievalcited by 4
  24. 2021GTN-ED: Event Detection Using Graph Transformer Networkscited by 3
  25. 2021Effective Use of Graph Convolution Network and Contextual Sub-Tree forCommodity News Event Extractioncited by 3
  26. 2021Enhanced Language Representation with Label Knowledge for Span Extractioncited by 3
  27. 2022Event Extraction: A Surveycited by 3
  28. 2023Boosting Event Extraction with Denoised Structure-to-Text Augmentationcited by 3
  29. 2023EDM3: Event Detection as Multi-task Text Generationcited by 3
  30. 2024EventRL: Enhancing Event Extraction with Outcome Supervision for Large Language Modelscited by 3
  31. 2025Benchmarking and Improving LVLMs on Event Extraction from Multimedia Documentscited by 3
  32. 2021COfEE: A Comprehensive Ontology for Event Extraction from textcited by 2
  33. 2021Active Learning for Event Extraction with Memory-based Loss Prediction Modelcited by 2
  34. 2022Bi-Directional Iterative Prompt-Tuning for Event Argument Extractioncited by 2
  35. 2023JSEEGraph: Joint Structured Event Extraction as Graph Parsingcited by 2
  36. 2024Event Extraction in Basque: Typologically motivated Cross-Lingual Transfer-Learning Analysiscited by 2
  37. 2024Harvesting Events from Multiple Sources: Towards a Cross-Document Event Extraction Paradigmcited by 2
  38. 2021Event Detection as Question Answering with Entity Informationcited by 1

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