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https://github.com/pyunits/pyunit-ner

NER实体识别模型,快速高效简单一键部署docker部署调用模型。能识别:地址、人名、机构名实体。
https://github.com/pyunits/pyunit-ner

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NER实体识别模型,快速高效简单一键部署docker部署调用模型。能识别:地址、人名、机构名实体。

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README

        

# **pyUnit-NER** [![](https://gitee.com/tyoui/logo/raw/master/logo/photolog.png)][1]

## NER模块集合

[![](https://img.shields.io/badge/Python-3.8-green.svg)](https://pypi.org/project/pyunit-ner/)
[![](https://img.shields.io/badge/[email protected])]()

### 安装

pip install pyunit-ner

### 推荐使用Docker部署

```shell
docker pull jtyoui/pyunit-ner
docker run -d -P jtyoui/pyunit-ner
```

### 默认官方数据集训练的模型(只能识别:人名、地名、机构名)

[点击下载模型](https://github.com/PyUnit/pyunit-ner/releases/download/v1.0/model.tar.gz)

### 默认的参数和映射表

```python
import pprint
from pyunit_ner import ernie_st, ernie_match, parseNER

def test():
# 默认的模型参数和映射表
model = '/home/jtyoui/Documents/model'
s = ernie_st(new_model_path=model)
data = ernie_match('刘万光对李伟说:在贵阳市南明村永乐乡发生了一件恐怖的事情', s)
result = parseNER(data)
return result

if __name__ == '__main__':
pprint.pprint(test())
```

## 抽取实体接口文档

http://ip:port/docs

![接口文档](./exec.png)

### 请求报文

| **参数名** | **类型** | **NULL** | **说明** |
|:----:|:----:|:----:|:----:|
|data| string |Yes| 数据 |

### 请求示例

```python
import requests

url = "http://127.0.0.1:9000/pyunit/ner?data=我在贵州贵阳观山湖"
headers = {'Content-Type': "application/x-www-form-urlencoded"}
response = requests.get(url).json()
print(response)
```

### 返回报文

| **参数名** | **类型** | **NULL** | **说明** |
|:----:|:----:|:----:|:----:|
|msg | string | Yes| 返回消息 |
|data | list |Yes| 标注数据类型 |
|address | list |Yes| 地址 |
|person | list |Yes| 人名 |
|org | list |Yes| 机构名 |

```json
{
"code": 200,
"entity": {
"address": [
"贵州贵阳观山湖"
],
"number": [
"6",
"6",
"4",
"5",
"4",
"5",
"4",
"5",
"5"
],
"organization": [],
"person": [],
"word": [
"我",
"在",
"贵",
"州",
"贵",
"阳",
"观",
"山",
"湖"
]
},
"msg": "success"
}
```

***

[1]: https://blog.jtyoui.com