Xie-Minghui/MultiHeadJointEntityRelationExtraction_simple
实体关系抽取，使用了百度比赛的数据集。使用pytorch实现MultiHeadJointEntityRelationExtraction，包含Bert、Albert、gru的使用，并且添加了对抗训练。最后使用Flask和Neo4j图数据库对模型进行了部署
This project helps you automatically identify key entities (like people, organizations, or locations) and the relationships between them from Chinese text. You provide raw Chinese text, and it outputs a structured knowledge graph showing 'who did what to whom' or 'what is related to what'. This is useful for anyone working with large volumes of Chinese text who needs to extract factual information and understand connections, such as data analysts, researchers, or intelligence specialists.
125 stars. No commits in the last 6 months.
Use this if you need to extract structured facts and relationships from unstructured Chinese text, transforming it into an easily searchable knowledge graph.
Not ideal if your primary need is general text summarization, sentiment analysis, or working with languages other than Chinese.
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Python
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Last pushed
Apr 22, 2023
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