• DOI:10.3115/v1/P15-1017
Corpus ID: 14339673

Event Extraction via Dynamic Multi-Pooling Convolutional Neural Networks

@inproceedings{Chen2015EventEV,
  title={Event Extraction via Dynamic Multi-Pooling Convolutional Neural Networks},
  author={Yubo Chen and L. Xu and Kang Liu and Daojian Zeng and Jun Zhao},
  booktitle={ACL},
  year={2015}
}

Yubo Chen, L. Xu, +2 authors Jun Zhao

Published in ACL 2015

Computer Science

Traditional approaches to the task of ACE event extraction primarily rely on elaborately designed features and complicated natural language processing (NLP) tools. These traditional approaches lack generalization, take a large amount of human effort and are prone to error propagation and data sparsity problems. This paper proposes a novel event-extraction method, which aims to automatically extract lexical-level and sentence-level features without using complicated NLP tools. We introduce a… CONTINUE READING

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