mlsanityData to 14 Oct 2026

The Art of Prompting: Event Detection based on Type Specific Prompts

arXiv 2204.07241 ↗First posted 14 Apr 2022cs.CL cs.AIcited by 9

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Abstract (arXiv)

We compare various forms of prompts to represent event types and develop a unified framework to incorporate the event type specific prompts for supervised, few-shot, and zero-shot event detection. The experimental results demonstrate that a well-defined and comprehensive event type prompt can significantly improve the performance of event detection, especially when the annotated data is scarce (few-shot event detection) or not available (zero-shot event detection). By leveraging the semantics of event types, our unified framework shows up to 24.3% F-score gain over the previous state-of-the-art baselines.

Key facts. Cited by 9 papers in the map (data through 14 Oct 2026). Builds on 38 of its 71 references that are in the map. First posted on arXiv 14 Apr 2022.

Builds on

38 of 71 references.

References · 38

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  2. 2020Language Models are Few-Shot Learnerscited by 32,419
  3. 2019Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformercited by 14,599
  4. 2021Prefix-Tuning: Optimizing Continuous Prompts for Generationcited by 3,915
  5. 2021The Power of Scale for Parameter-Efficient Prompt Tuningcited by 3,795
  6. 2019Language Models as Knowledge Bases?cited by 1,936
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  10. 2020It's Not Just Size That Matters: Small Language Models Are Also Few-Shot Learnerscited by 669
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26 more
  1. 2019Entity, Relation, and Event Extraction with Contextualized Span Representationscited by 262
  2. 2021WARP: Word-level Adversarial ReProgrammingcited by 221
  3. 2019Meta R-CNN : Towards General Solver for Instance-level Few-shot Learningcited by 182
  4. 2020Event Extraction by Answering (Almost) Natural Questionscited by 177
  5. 2021FSCE: Few-Shot Object Detection via Contrastive Proposal Encodingcited by 168
  6. 2020Few-Shot Object Detection and Viewpoint Estimation for Objects in the Wildcited by 142
  7. 2021Text2Event: Controllable Sequence-to-Structure Generation for End-to-end Event Extractioncited by 129
  8. 2020MAVEN: A Massive General Domain Event Detection Datasetcited by 104
  9. 2021Beyond Max-Margin: Class Margin Equilibrium for Few-shot Object Detectioncited by 80
  10. 2017Zero-Shot Transfer Learning for Event Extractioncited by 66
  11. 2019Meta-Learning with Dynamic-Memory-Based Prototypical Network for Few-Shot Event Detectioncited by 54
  12. 2016Joint Extraction of Events and Entities within a Document Contextcited by 48
  13. 2021CLEVE: Contrastive Pre-training for Event Extractioncited by 36
  14. 2021Few-shot Image Classification: Just Use a Library of Pre-trained Feature Extractors and a Simple Classifiercited by 32
  15. 2020Unsupervised Label-aware Event Trigger and Argument Classificationcited by 27
  16. 2019Reading the Manual: Event Extraction as Definition Comprehensioncited by 26
  17. 2021Query and Extract: Refining Event Extraction as Type-oriented Binary Decodingcited by 26
  18. 2021Cross-Task Instance Representation Interactions and Label Dependencies for Joint Information Extraction with Graph Convolutional Networkscited by 22
  19. 2020Few-Shot Event Detection with Prototypical Amortized Conditional Random Fieldcited by 20
  20. 2020Extensively Matching for Few-shot Learning Event Detectioncited by 18
  21. 2021Adaptive Knowledge-Enhanced Bayesian Meta-Learning for Few-shot Event Detectioncited by 13
  22. 2021Honey or Poison? Solving the Trigger Curse in Few-shot Event Detection via Causal Interventioncited by 9
  23. 2020Exploiting the Matching Information in the Support Set for Few Shot Event Classificationcited by 7
  24. 2019Extending Event Detection to New Types with Learning from Keywordscited by 5
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Cited by year

Citing papers per year: 2022: 2; 2023: 5; 2024: 1; 2025: 1.

9 papers.

  1. 2022MultiInstruct: Improving Multi-Modal Zero-Shot Learning via Instruction Tuningcited by 109
  2. 2023LLMs for Knowledge Graph Construction and Reasoning: Recent Capabilities and Future Opportunitiescited by 97
  3. 2023TextEE: Benchmark, Reevaluation, Reflections, and Future Challenges in Event Extractioncited by 28
  4. 2022Incremental Prompting: Episodic Memory Prompt for Lifelong Event Detectioncited by 23
  5. 2025What Makes a Good Natural Language Prompt?cited by 7
  6. 2024Targeted Augmentation for Low-Resource Event Extractioncited by 4
  7. 2023EDM3: Event Detection as Multi-task Text Generationcited by 3
  8. 2023A Survey of Document-Level Information Extractioncited by 3
  9. 2023Token-Event-Role Structure-based Multi-Channel Document-Level Event Extractioncited by 0