This project forked from pumpkinduo/knowledgegraph_ner
中文医学知识图谱命名实体识别，包括bi-LSTM+CRF，transformer+CRF等模型
本项目数据集来自ccks2017任务二,任务是中文病例的命名实体识别
"O" "B-body" "I-body" "E-body" "B-symp" "I-symp" "E-symp" "B-dise" "I-dise" "E-dise" "B-chec" "I-chec" "E-chec" "B-cure" "I-cure" "E-cure"
采用bi-LSTM+CRF/transformer+CRF，此后会对模型进行优化,数据根据需求处理。
1.dataset文件夹 原始数据
2.LSTM_CRF.py bi-LSTM模型
3.data_util.py 数据处理
4.train.py main
5.transformer_CRF transformer模型
python 3
tensorflow 1.12
microF1 打分函数precision_recall_fscore_support
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