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        <title>Extending Event Detection to New Types with Learning from Keywords</title>
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    <abstract>Traditional event detection classifies a word or a phrase in a given sentence for a set of prede- fined event types. The limitation of such pre- defined set is that it prevents the adaptation of the event detection models to new event types. We study a novel formulation of event detec- tion that describes types via several keywords to match the contexts in documents. This fa- cilitates the operation of the models to new types. We introduce a novel feature-based attention mechanism for convolutional neural networks for event detection in the new for- mulation. Our extensive experiments demon- strate the benefits of the new formulation for new type extension for event detection as well as the proposed attention mechanism for this problem</abstract>
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%0 Conference Proceedings
%T Extending Event Detection to New Types with Learning from Keywords
%A Lai, Viet Dac
%A Nguyen, Thien Huu
%Y Xu, Wei
%Y Ritter, Alan
%Y Baldwin, Tim
%Y Rahimi, Afshin
%S Proceedings of the 5th Workshop on Noisy User-generated Text (W-NUT 2019)
%D 2019
%8 November
%I Association for Computational Linguistics
%C Hong Kong, China
%F lai-nguyen-2019-extending
%X Traditional event detection classifies a word or a phrase in a given sentence for a set of prede- fined event types. The limitation of such pre- defined set is that it prevents the adaptation of the event detection models to new event types. We study a novel formulation of event detec- tion that describes types via several keywords to match the contexts in documents. This fa- cilitates the operation of the models to new types. We introduce a novel feature-based attention mechanism for convolutional neural networks for event detection in the new for- mulation. Our extensive experiments demon- strate the benefits of the new formulation for new type extension for event detection as well as the proposed attention mechanism for this problem
%R 10.18653/v1/D19-5532
%U https://aclanthology.org/D19-5532/
%U https://doi.org/10.18653/v1/D19-5532
%P 243-248

Markdown (Informal)

[Extending Event Detection to New Types with Learning from Keywords](https://aclanthology.org/D19-5532/) (Lai & Nguyen, WNUT 2019)

• Extending Event Detection to New Types with Learning from Keywords (Lai & Nguyen, WNUT 2019)

ACL

• Viet Dac Lai and Thien Huu Nguyen. 2019. Extending Event Detection to New Types with Learning from Keywords. In Proceedings of the 5th Workshop on Noisy User-generated Text (W-NUT 2019), pages 243–248, Hong Kong, China. Association for Computational Linguistics.