# Name-Entity-Recognition

**Repository Path**: wwfcoder/Name-Entity-Recognition

## Basic Information

- **Project Name**: Name-Entity-Recognition
- **Description**: Lstm-crf,Lattice-CRF,bert-ner及近年ner相关论文follow
- **Primary Language**: Python
- **License**: Not specified
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2019-07-20
- **Last Updated**: 2020-12-19

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# Name-Entity-Recognition
Lstm-crf,Lattice-CRF,bert-ner及近年ner相关论文follow<br>

- ChineseNER 中文NER <br>
>>tensorflow 1.4.0<br><br>
>>use method :<br>
>>>python3 main.py<br>
    
>>>详细使用原来即实验结果见博客https://www.jianshu.com/p/aed50c1b2930<br>

- fyz_lattice_NER 中文NER lattice model<br>
>>pytorch 0.4.0<br>
>>Python 3.6<br>
>>use method :<br>
>>>python3 main.py<br>
>>>>>或者直接配置然后运行：bash fyz_run_decode.sh<br>
	
>>>详细使用原来即实验结果见[博客](https://www.jianshu.com/p/9c99796ff8d9)<br>
>>>文件中需要的两个[词向量地址](https://pan.baidu.com/s/1Uj97799tGjdET_vbdkW7tQ )：<br>
>>>提取码：vgwi <br>
>>>>解压文件 放到data/ 文件夹下即可<br>
		
- BERT-BiLSTM-CRF-NER<br>
>>tensorflow 1.11.0<br>
>>use method :<br>
>>>下载bert的[中文模型](https://storage.googleapis.com/bert_models/2018_11_03/chinese_L-12_H-768_A-12.zip)<br>
>>>解压放到checkpoint的目录下即可<br>
>>>运行：<br>
>>>python3 main.py（也可以根据代码设置命令行参数）<br>
>>>代码详细使用说明见[博客]：(https://www.jianshu.com/p/b05e50f682dd)<br>