Chinese clinical named entity recognition using pre-trained BERT model
Python 100.00%
bertcner's Introduction
Chinese clinical named entity recognition (CNER) using pre-trained BERT model
Introduction
We pre-trained BERT model to improve the performance of Chinese CNER. Different layers such as Long Short-Term Memory (LSTM) and Conditional Random Field (CRF) were used to extract the text features and decode the predicted tags respectively. And we also proposed a new strategy to incorporate dictionary features into the model. Radical features of Chinese characters were also used to improve the model performance.