Incorporating Dictionaries into Deep Neural Networks for the Chinese Clinical Named Entity Recognition

13 Apr 2018 Qi. Wang Yuhang Xia Yangming Zhou Tong Ruan Daqi Gao Ping He

Clinical Named Entity Recognition (CNER) aims to identify and classify clinical terms such as diseases, symptoms, treatments, exams, and body parts in electronic health records, which is a fundamental and crucial task for clinical and translational research. In recent years, deep neural networks have achieved significant success in named entity recognition and many other Natural Language Processing (NLP) tasks... (read more)

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