sakuranew/BERT-AttributeExtraction
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。
This tool helps knowledge graph builders automatically extract specific details, like a person's birthplace or occupation, from unstructured text, such as encyclopedic entries. You feed it raw text documents about people, and it outputs structured attribute data that can populate a knowledge graph. It's designed for data curators and knowledge engineers who need to convert large volumes of text into structured facts.
265 stars. No commits in the last 6 months.
Use this if you need to systematically extract factual attributes about entities from text, especially biographical information, to build or enrich a knowledge graph.
Not ideal if you're looking for a general-purpose named entity recognition tool or if your data isn't focused on extracting specific attributes for knowledge graph construction.
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265
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Language
Python
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Last pushed
Apr 01, 2019
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