minskiter's picture
feat(model): update checkpoint
ef5e67c
---
language:
- zh
license: apache-2.0
tags:
- bert
- ner
- resume
pipeline_tag: other
widget:
- text: "欧阳可守,2000年出生,硕士学历毕业于清华大学,目标职位:自然语言算法工程师,"
example_title: "Resume Entity Recognition"
---
## 简历命名实体识别
- 使用
```python
ner_predictor = pipeline(
task="nerpipe",
model="minskiter/resume-token-classification-extends-0708",
device="cpu",
trust_remote_code=True
)
```
- 模型
BertCrfModel
- 数据集
Resume
Typing| Train | Dev |Test
:-:|:-|:-:|:-:
Sentence | 3.8k | 0.46k | 0.48k
Char | 124.1k | 13.9k | 15.1k
Tag | Meaning | Train | Dev |Test
:-:|:-|:-:|:-:|:-:
CONT | Country | 260 | 33 | 28
EDU | Educational Institution | 858 | 106 | 112
LOC | Location | 47 | 2 | 6
NAME | Personal Name | 952 | 110 | 112
ORG | Organization | 4611| 523 | 553
PRO | Profession | 287 | 18 | 33
RACE | Ethnicity Background | 115 | 15 | 14
TITLE| Job Title | 6308| 690 | 772
Total Entity |--- |13438| 1497| 1630