Adversarial training based lattice LSTM for Chinese clinical named entity recognition

Author:

Zhao Shan,Cai Zhiping,Chen Haiwen,Wang Ye,Liu Fang,Liu AnfengORCID

Funder

National Key Research and Development Program of China

Publisher

Elsevier BV

Subject

Health Informatics,Computer Science Applications

Reference29 articles.

1. P. Bhatia, B. Celikkaya, M. Khalilia, End-to-end joint entity extraction and negation detection for clinical text, arXiv preprint arXiv:1812.05270.

2. Deep learning with word embeddings improves biomedical named entity recognition;Habibi;Bioinformatics,2017

3. Character-level neural network for biomedical named entity recognition;Gridach;J. Biomed. Inform.,2017

4. S.K. Sahu, A. Anand, Unified neural architecture for drug, disease and clinical entity recognition, arXiv preprint arXiv:1708.03447.

5. Incorporating dictionaries into deep neural networks for the Chinese clinical named entity recognition;Wang;J. Biomed. Inform.,2019

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