【摘要】 分析中文电子病历数据实体关系提取常用方法，提出一种基于双向编码器表征的实体关系联合抽取算法，使用级联解码器以及指针标注方法完成实体关系抽取及实体识别，实验结果证明该方法可有效抽取电子病历实体关系。更多还原

【Abstract】 The paper analyzes the common methods of entity relationship extraction for Chinese electronic medical record(EMR) data, proposes a joint extraction algorithm of entity relationship based on bidirectional encoder representation from transformers(BERT), which uses cascade decoder and pointer annotation method to complete entity relationship extraction and entity recognition. Experimental results show that the algorithm used in the paper can effectively extract the entity relationship of electronic medical record.更多还原