A Neural N-Gram-Based Classifier for Chinese Clinical Named Entity Recognition

A Neural N-Gram-Based Classifier for Chinese Clinical Named Entity Recognition

Clinical Named Entity Recognition (CNER) focuses on locating named entities in electronic medical records (EMRs) and the obtained results play an important role in the development of intelligent biomedical systems. In addition to the research in alphabetic languages, the study of non-alphabetic lang...

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Bibliographic Details
Main Authors: Ching-Sheng Lin, Jung-Sing Jwo, Cheng-Hsiung Lee
Format: Article
Language:English
Published: MDPI AG 2021-09-01
Series:Applied Sciences
Subjects:
clinical named entity recognition
n-gram character embeddings
self-attention
BiLSTM
Online Access:https://www.mdpi.com/2076-3417/11/18/8682

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