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Keras-Chinese-NER

chinese text ner demo

关于本项目的详细信息请查看

2019-11-24-用深度学习解决NLP中的命名实体识别(NER)问题(深度学习入门项目)

Use

  1. clone项目
  2. 构建自己的数据集.
  3. 修改model.py中的tag列表为自己数据中的tag全集.
  4. 执行python3 model.py --mode=train. # 注意参数的默认值,可以自行修改
  5. 训练完成之后, 将predict-online/DemoMain.java中的代码集成到自己的项目.

Result

模型预测正确率97%(训练了30个epoch), 线上预测耗时20ms.

References

完成此项目时, 参考了下面两个项目,在此表示感谢.

https://github.com/Determined22/zh-NER-TF

https://github.com/stephen-v/zh-NER-keras

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