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arXiv · 2204.07241

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

Sijia Wang·Mo Yu·Lifu Huang
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Abstract

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.

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Sijia Wang, Mo Yu, Lifu Huang. 2022-04-14. The Art of Prompting: Event Detection based on Type Specific Prompts. https://arxiv.org/abs/2204.07241

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