Chinese clinical named entity recognition via multi-head self-attention based BiLSTM-CRF

Author:

An Ying,Xia Xianyun,Chen Xianlai,Wu Fang-Xiang,Wang Jianxin

Funder

Hunan Provincial Natural Science Foundation

Publisher

Elsevier BV

Subject

Artificial Intelligence,Medicine (miscellaneous)

Reference53 articles.

1. Conditional random fields: probabilistic models for segmenting and labeling sequence data;Lafferty,2001

2. G. Lample M. Ballesteros S. Subramanian K. Kawakami C. Dyer , Neural architectures for named entity recognition, CoRR abs/1603.01360.

3. A study on features of the crfs-based Chinese named entity recognition;Duan;Int J Adv Intell,2011

4. Hitsz_cner: a hybrid system for entity recognition from Chinese clinical text;Hu,2017

5. Exploring n-gram character presentation in bidirectional rnn-crf for chinese clinical named entity recognition;Ouyang,2017

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