Warma10032/Relation-Extraction
基于预训练BERT的中文医疗关系抽取实践，仿计算机学报格式报告（东南大学自然语言处理NLP课程实验）
This project helps medical professionals, researchers, or health information managers automatically identify and categorize relationships between medical entities within Chinese medical texts. You provide medical sentences and the system outputs which entities (like '上消化道出血' and '应激性溃疡') are related and what kind of relationship they share (e.g., '病因'). This is useful for building medical knowledge graphs, supporting smart diagnoses, and improving the accuracy of health data.
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Use this if you need to extract specific relationships like '药物-治疗疾病' or '症状-诊断疾病' from a large volume of unstructured Chinese medical text to build a knowledge base or enhance data analysis.
Not ideal if your data is not in Chinese medical text or if you need to extract relationships beyond the predefined 10 categories.
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Jan 12, 2025
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