This paper exploits a convolutional deep neural network (DNN) to extract lexical and sentence level features from the output of pre-existing natural language processing systems and significantly outperforms the state-of-the-art methods.
Authors
Guangyou Zhou
2 papers
Kang Liu
7 papers
Jun Zhao
5 papers
Daojian Zeng
3 papers
Siwei Lai
2 papers
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Field of Study
Computer Science
Venue Information
Name
International Conference on Computational Linguistics