BERT-AttributeExtraction

BERT-AttributeExtraction

sakuranew

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。

250 Stars
65 Forks
250 Watchers
Python Language
Cost to Build
$374.5K
Market Value
$772.7K

Growth over time

7 data points  ·  2021-08-01 → 2023-07-01
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What is the sakuranew/BERT-AttributeExtraction GitHub project? Description: "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。". Written in Python. Explain what it does, its main use cases, key features, and who would benefit from using it.

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git clone https://github.com/sakuranew/BERT-AttributeExtraction.git

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Download master.zip

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