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CMeIE中文医学文本实体关系抽取
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CMeIE

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实体和关系抽取作为信息抽取的重要子任务，近些年众多学者利用多种技术在该领域开展深入研究。将这些技术应用于医学领域，抽取非结构化和半结构化的医学文本构建成医学知识图谱，可服务于下游子任务。非结构化的医学文本，如医学教材每一个自然段落，临床实践中每种疾病下的主题，电子病历数据中的主诉、现病史、鉴别诊断等，都是由中文自然语言句子或句子集合组成。实体关系抽取是从非结构化医学文本中找出医学实体，并确定实体对关系事实的过程。 本任务就是在这样的背景下产生的，并在CHIP2020会议发布了评测任务(http://cips-chip.org.cn/)。
natural language processing information extraction CC-BY-NC 4.0
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2023-03-05 23:17:36
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