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        <title>The Art of Prompting: Event Detection based on Type Specific Prompts</title>
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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 event detection performance, 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 22.2% F-score gain over the previous state-of-the-art baselines.</abstract>
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%0 Conference Proceedings
%T The Art of Prompting: Event Detection based on Type Specific Prompts
%A Wang, Sijia
%A Yu, Mo
%A Huang, Lifu
%Y Rogers, Anna
%Y Boyd-Graber, Jordan
%Y Okazaki, Naoaki
%S Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)
%D 2023
%8 July
%I Association for Computational Linguistics
%C Toronto, Canada
%F wang-etal-2023-art
%X 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 event detection performance, 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 22.2% F-score gain over the previous state-of-the-art baselines.
%R 10.18653/v1/2023.acl-short.111
%U https://aclanthology.org/2023.acl-short.111
%U https://doi.org/10.18653/v1/2023.acl-short.111
%P 1286-1299

Markdown (Informal)

[The Art of Prompting: Event Detection based on Type Specific Prompts](https://aclanthology.org/2023.acl-short.111) (Wang et al., ACL 2023)

• The Art of Prompting: Event Detection based on Type Specific Prompts (Wang et al., ACL 2023)

ACL

• Sijia Wang, Mo Yu, and Lifu Huang. 2023. The Art of Prompting: Event Detection based on Type Specific Prompts. In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), pages 1286–1299, Toronto, Canada. Association for Computational Linguistics.