keras-crf-ner
- 基于keras及crf实现中文命名实体识别
- 识别实体为人名/PER，地点/LOC，机构/ORG
- 最终模型在测试集上的精度为98%
- 模型训练，在命令行输入：
python3.6 model.py train - 模型预测，输入指令：
python3.6 model.py predict
demo
注：本项目参考https://github.com/Determined22/zh-NER-TF
Super-Louis / keras-crf-ner
Licence: MIT license
keras+bi-lstm+crf，中文命名实体识别
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