Adapting deep belief nets to Chinese entity detection

Abstract

This paper adapts deep belief networks (DBN) to detect entity mentions in Chinese documents. Our results exhibit how the depth of architecture and quantity of unit in hidden layer influence the performance. Different feature combinations are used to show their advantages and disadvantages in DBN for this task. Moreover, we combined Chinese word segmentation… (More)

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Cite this paper

@article{Chen2013AdaptingDB, title={Adapting deep belief nets to Chinese entity detection}, author={Yu Chen and Dequan Zheng and Tiejun Zhao}, journal={Proceedings 2013 International Conference on Mechatronic Sciences, Electric Engineering and Computer (MEC)}, year={2013}, pages={1830-1834} }