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keras-crf-ner's Introduction

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

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