中文医疗因果关系抽取数据集 CMedCausal |
修订日期:2022-10-31 点此下载全文 |
引用本文:李子昊,陈漠沙,马镇新,等.中文医疗因果关系抽取数据集 CMedCausal[J].医学信息学杂志,2022,43(12):23-27, 31 |
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中文摘要:介绍医学领域实体、关系抽取相关研究情况,详细阐述中文医疗因果关系抽取数据集 CMedCausal 构建方法及实验情况,提出利用数据集定义3类关键的医学因果推理关系:因果关系、条件关系和上下位关系,研究人员可基于 CMedCausal 开展医疗因果关系挖掘、医疗因果解释图谱构建等方向的研究。 |
中文关键词:因果关系 关系抽取 解释性 人工智能 自然语言处理 |
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CMedCausal:Chinese Medical Causal Relationship Extraction Dataset |
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Abstract:The paper introduces relevant studies on entity and relation extraction in the medical field, elaborates the construction method and experimental results of the Chinese medical causal relationship extraction dataset—CMedCausal, and proposes to define three key types of medical causal explanation and reasoning relationships by using the dataset:causal relationship, conditional relationship and hypothetical relationship. Researchers can conduct medical causal relationship mining and medical causal interpretation map construction based on CMedCausal. |
keywords:causal relationship relation extraction interpretability Artificial Intelligence (AI) Nature Language Processing (NLP) |
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