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 Liheng Xu and Kang Liu and Daojian Zeng and Jian Zhao},
  booktitle={ACL},
  year={2015}
}
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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