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命名实体识别(Named EntitiesRecognition, NER),中文公司名实体识别,一键运行,基于pytorch。博客https://blog.csdn.net/weixin_43499457/article/details/129249976

Python 65.04% Jupyter Notebook 34.96%

chinese_company_ner's Introduction

1.在data\下放train.json
2.直接运行run_albert.ipynb就可以训练
3.训练得到的模型会存到experiments\s_model
data_precess:处理标注数据到模型训练需要的格式,并且去除一些会报错的token train.json---train.npz
    有两种可选方法,目前用的方法慢一点但是可以处理掉脏数据;注释掉的部分会快一点,但是如果有脏数据报错
data_loader:生成训练集和验证集

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