mlsanityData to 7 Oct 2026

Dynamic Prefix-Tuning for Generative Template-based Event Extraction

arXiv 2205.06166 ↗First posted 12 May 2022cs.CL cs.AIcited by 35

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Abstract (arXiv)

We consider event extraction in a generative manner with template-based conditional generation. Although there is a rising trend of casting the task of event extraction as a sequence generation problem with prompts, these generation-based methods have two significant challenges, including using suboptimal prompts and static event type information. In this paper, we propose a generative template-based event extraction method with dynamic prefix (GTEE-DynPref) by integrating context information with type-specific prefixes to learn a context-specific prefix for each context. Experimental results show that our model achieves competitive results with the state-of-the-art classification-based model OneIE on ACE 2005 and achieves the best performances on ERE. Additionally, our model is proven to be portable to new types of events effectively.

Key facts. Cited by 35 papers in the map (data through 7 Oct 2026). Builds on 28 of its 44 references that are in the map. First posted on arXiv 12 May 2022.

Builds on

28 of 44 references.

References · 28

  1. 2017Attention Is All You Needcited by 59,932
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  3. 2020Language Models are Few-Shot Learnerscited by 32,199
  4. 2019Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformercited by 14,491
  5. 2019BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehensioncited by 5,874
  6. 2021Prefix-Tuning: Optimizing Continuous Prompts for Generationcited by 3,878
  7. 2021The Power of Scale for Parameter-Efficient Prompt Tuningcited by 3,769
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  9. 2020Making Pre-trained Language Models Better Few-shot Learnerscited by 1,255
  10. 2020Exploiting Cloze Questions for Few Shot Text Classification and Natural Language Inferencecited by 934
  11. 2021GPT Understands, Toocited by 715
  12. 2021P-Tuning v2: Prompt Tuning Can Be Comparable to Fine-tuning Universally Across Scales and Taskscited by 686
16 more
  1. 2020It's Not Just Size That Matters: Small Language Models Are Also Few-Shot Learnerscited by 668
  2. 2021Multimodal Few-Shot Learning with Frozen Language Modelscited by 657
  3. 2021Learning How to Ask: Querying LMs with Mixtures of Soft Promptscited by 376
  4. 2021Factual Probing Is [MASK]: Learning vs. Learning to Recallcited by 291
  5. 2019Entity, Relation, and Event Extraction with Contextualized Span Representationscited by 261
  6. 2021PTR: Prompt Tuning with Rules for Text Classificationcited by 238
  7. 2021WARP: Word-level Adversarial ReProgrammingcited by 220
  8. 2021Structured Prediction as Translation between Augmented Natural Languagescited by 183
  9. 2020Event Extraction by Answering (Almost) Natural Questionscited by 177
  10. 2021Document-Level Event Argument Extraction by Conditional Generationcited by 154
  11. 2021Template-Based Named Entity Recognition Using BARTcited by 153
  12. 2021Text2Event: Controllable Sequence-to-Structure Generation for End-to-end Event Extractioncited by 129
  13. 2020Automatically Identifying Words That Can Serve as Labels for Few-Shot Text Classificationcited by 98
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  16. 2016Joint Extraction of Events and Entities within a Document Contextcited by 48

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Citing papers per year: 2022: 7; 2023: 15; 2024: 9; 2025: 4.

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  1. 2023Large Language Models for Generative Information Extraction: A Surveycited by 183
  2. 2023Evaluating ChatGPT's Information Extraction Capabilities: An Assessment of Performance, Explainability, Calibration, and Faithfulnesscited by 130
  3. 2023Prompt Engineering for Healthcare: Methodologies and Applicationscited by 52
  4. 2022Generative Knowledge Graph Construction: A Reviewcited by 49
  5. 2023TextEE: Benchmark, Reevaluation, Reflections, and Future Challenges in Event Extractioncited by 27
  6. 2022DICE: Data-Efficient Clinical Event Extraction with Generative Modelscited by 20
  7. 2023AMPERE: AMR-Aware Prefix for Generation-Based Event Argument Extraction Modelcited by 19
  8. 2023The Devil is in the Details: On the Pitfalls of Event Extraction Evaluationcited by 18
  9. 2022MEE: A Novel Multilingual Event Extraction Datasetcited by 17
  10. 2024Propulsion: Steering LLM with Tiny Fine-Tuningcited by 14
  11. 2023Enhancing Document-level Event Argument Extraction with Contextual Clues and Role Relevancecited by 10
  12. 2024Parameter-Efficient Fine-Tuning of Large Language Models using Semantic Knowledge Tuningcited by 10
23 more
  1. 2023InstructIE: A Bilingual Instruction-based Information Extraction Datasetcited by 9
  2. 2023Global Constraints with Prompting for Zero-Shot Event Argument Classificationcited by 8
  3. 2025Event Extraction in Large Language Modelcited by 5
  4. 2022EventGraph: Event Extraction as Semantic Graph Parsingcited by 4
  5. 2024Targeted Augmentation for Low-Resource Event Extractioncited by 4
  6. 2022DORE: Document Ordered Relation Extraction based on Generative Frameworkcited by 3
  7. 2023Boosting Event Extraction with Denoised Structure-to-Text Augmentationcited by 3
  8. 2024DEGAP: Dual Event-Guided Adaptive Prefixes for Templated-Based Event Argument Extraction with Slot Queryingcited by 3
  9. 2022Bi-Directional Iterative Prompt-Tuning for Event Argument Extractioncited by 2
  10. 2023Zero- and Few-Shot Event Detection via Prompt-Based Meta Learningcited by 2
  11. 2023JSEEGraph: Joint Structured Event Extraction as Graph Parsingcited by 2
  12. 2024Event Extraction in Basque: Typologically motivated Cross-Lingual Transfer-Learning Analysiscited by 2
  13. 2024RAG-based Crowdsourcing Task Decomposition via Masked Contrastive Learning with Promptscited by 2
  14. 2024A Structure-aware Generative Model for Biomedical Event Extractioncited by 2
  15. 2022Modeling Instance Interactions for Joint Information Extraction with Neural High-Order Conditional Random Fieldcited by 1
  16. 2023Few-shot Domain-Adaptive Visually-fused Event Detection from Textcited by 1
  17. 2024EXCEEDS: Extracting Complex Events via Nugget-based Grid Modeling in Scientific Domaincited by 1
  18. 2025FediLoRA: Practical Federated Fine-Tuning of Foundation Models Under Missing-Modality Constraintscited by 1
  19. 2023Learning Easily Updated General Purpose Text Representations with Adaptable Task-Specific Prefixescited by 0
  20. 2023Prompt2Gaussia: Uncertain Prompt-learning for Script Event Predictioncited by 0
  21. 2024Enhancing Document-level Argument Extraction with Definition-augmented Heuristic-driven Prompting for LLMscited by 0
  22. 2025Keyword-Centric Prompting for One-Shot Event Detection with Self-Generated Rationale Enhancementscited by 0
  23. 2025Dual LoRA: Enhancing LoRA with Magnitude and Direction Updatescited by 0