自动化学报Issue(8)：1537-1562,26.DOI:10.3724/SP.J.1004.2014.01537
电子病历命名实体识别和实体关系抽取研究综述
An Overview of Research on Electronic Medical Record Oriented Named Entity Recognition and Entity Relation Extraction
摘要
Abstract
Electronic medical records (EMRs) are generated in the process of clinical treatments. Named entities and entity relations in EMRs reflect patients0 health conditions and represent patients0 personalized medical knowledge. Conse-quently, named entity recognition and entity relation extraction on EMR are important expansion of information extraction in the medical domain. In this paper, the language characteristic and structure features of EMR narratives are firstly discussed, and then general methods for named entity recognition and relation extraction are sketched out. Furthermore, this paper introduces and analyzes the tasks and corresponding methods for named entity recognition, entity assertion recognition and relation extraction of EMR in detail. Related shared evaluation tasks and annotated corpora as well as several important dictionaries and knowledge bases are also introduced. Finally, problems to be handled and future research directions are proposed.关键词
电子病历/命名实体识别/实体关系抽取/共享评测任务Key words
Electronic medical record (EMR)/named entity recognition/entity relation extraction/shared task引用本文复制引用
杨锦锋,于秋滨,关毅,蒋志鹏..电子病历命名实体识别和实体关系抽取研究综述[J].自动化学报,2014,(8):1537-1562,26.基金项目
国家自然科学基金(60975077)资助Supported by National Natural Science Foundation of China (60975077) （60975077）
