The Art of Prompting: Event Detection based on Type Specific Prompts
Sijia Wang, Mo Yu, Lifu Huang · 2023
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 zeroshot event detection.The experimental results demonstrate that a well-defined and comprehensive event type prompt can significantly improve event detection performance, especially when the annotated data is scarce (fewshot event detection) or not available (zero-shot event detection).By leveraging the semantics of event types, our unified framework shows up to 22.2% F-score gain over the previous stateof-the-art baselines 1 .