# sakuranew/BERT-AttributeExtraction

<https://repo.masters-masters.com/en/repos/sakuranew/BERT-AttributeExtraction>

[Home](https://repo.masters-masters.com/en) › [sakuranew](https://repo.masters-masters.com/en/owners/sakuranew) › [BERT-AttributeExtraction](https://repo.masters-masters.com/en/repos/sakuranew/BERT-AttributeExtraction)

sakuranew/BERT-AttributeExtraction has 266 stars on GitHub. Its RepoMasters card: Alpha tier. USING BERT FOR Attribute Extraction in KnowledgeGraph…

| Field | Value |
| --- | --- |
| Owner | [sakuranew](https://repo.masters-masters.com/en/owners/sakuranew) |
| Stars | 266 |
| Forks | 65 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | None |
| Created | 2018 |
| Topics | bert, deeplearning, ai, knowledge-graph, relation-extraction, nlp, feature-extraction, fine-tuning, attribute-extraction |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [sakuranew/BERT-AttributeExtraction](https://github.com/sakuranew/BERT-AttributeExtraction) |

## Repository

USING BERT FOR Attribute Extraction in KnowledgeGraph. fine-tuning and feature extraction. 使用基于bert的微调和特征提取方法来进行知识图谱百度百科人物词条属性抽取。

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

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