# stanleylsx/entity\_extractor\_by\_ner

<https://repo.masters-masters.com/en/repos/stanleylsx/entity_extractor_by_ner>

[Home](https://repo.masters-masters.com/en) › [stanleylsx](https://repo.masters-masters.com/en/owners/stanleylsx) › [entity\_extractor\_by\_ner](https://repo.masters-masters.com/en/repos/stanleylsx/entity_extractor_by_ner)

stanleylsx/entity\_extractor\_by\_ner has 428 stars on GitHub. Its RepoMasters card: Alpha tier. 基于Tensorflow2.3开发的NER模型，都是CRF范式，包含Bilstm(IDCNN)-CRF、Bert-Bilstm(I…

| Field | Value |
| --- | --- |
| Owner | [stanleylsx](https://repo.masters-masters.com/en/owners/stanleylsx) |
| Stars | 428 |
| Forks | 74 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | None |
| Created | 2020 |
| Topics | tensorflow2, bert-bilstm-crf, bilstm-crf, bert-crf, idcnn-crf, bert-idcnn-crf |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [stanleylsx/entity\_extractor\_by\_ner](https://github.com/stanleylsx/entity_extractor_by_ner) |

## Repository

基于Tensorflow2.3开发的NER模型，都是CRF范式，包含Bilstm(IDCNN)-CRF、Bert-Bilstm(IDCNN)-CRF、Bert-CRF，可微调预训练模型，可对抗学习，用于命名实体识别，配置后可直接运行。

The tier for repos with 250 to 699 ★. Published odds per card pulled: 20%. Rarity: Uncommon.

## More repos by stanleylsx

- [stanleylsx/llms\_tool · ★ 226 · Python · Prototype](https://repo.masters-masters.com/en/repos/stanleylsx/llms_tool)
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- [stanleylsx/entity\_extractor\_by\_pointer · ★ 132 · Python · Prototype](https://repo.masters-masters.com/en/repos/stanleylsx/entity_extractor_by_pointer)

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.