文件列表:

LICENSE (1068, 2019-12-27)
config.py (372, 2019-12-27)
crf.py (6818, 2019-12-27)
crf_predict.py (3072, 2019-12-27)
data (0, 2019-12-27)
data\example.dev (702455, 2019-12-27)
data\example.test (1405788, 2019-12-27)
data\example.train (6277429, 2019-12-27)
data_process.ipynb (175852, 2019-12-27)
main.py (6163, 2019-12-27)
model.py (1509, 2019-12-27)
pred.ipynb (26712, 2019-12-27)
processed (0, 2019-12-27)
processed\processed_dev_bio.txt (310401, 2019-12-27)
processed\processed_test.txt (843426, 2019-12-27)
processed\processed_test_bio.txt (2656793, 2019-12-27)
processed\processed_training.txt (2656793, 2019-12-27)
processed\processed_training_bio.txt (2346392, 2019-12-27)
utils.py (3923, 2019-12-27)

# Bert-BiLSTM-CRF-pytorch bert-bilstm-crf implemented in pytorch for named entity recognition. ``` python == 3.6 pytorch == 1.3 transformer == 2.1.1 ``` ### Data * 首先将数据处理成`BIO`格式,processed文件夹下存放的是医疗命名实体识别的数据,代码可参考`data_process.ipynb` * 下载中文BERT预训练模型,来自`pytorch-pretrained-bert` ### 模型训练 ``` python main.py -- n_epochs 100 --finetuning --top_rnns ``` ### 模型预测 ``` python crf_predict.py ```

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