计算机工程与应用2024，Vol.60Issue(2)：121-128,8.DOI:10.3778/j.issn.1002-8331.2208-0345
位置标签增强的中文医学命名实体级联识别
Enhanced Cascading Recognition with Positional Labels for Chinese Medicine Named Entity
摘要
Abstract
Aiming at the problems that named entity recognition methods in the general field cannot be directly used for the recognition of Chinese medical professional entities and existing related research only focuses on the recognition of medical entities in English text and flat structure,by studying the methods of named entities in medical field,and com-bined with the characteristics of Chinese medical entities,it proposes a cascade recognition method for Chinese medical entities.The position label of each character element relative to the entity is embedded into the model,and the fusion rep-resentation of the entity is carried out by combining the importance of different elements within the span of Chinese medi-cal entities.Firstly,the position labels of characters are detected by the sequence labeling method,and then the position information of characters is used to guide the generation of candidate entities.Finally,the entity semantic classification is carried out.The model performs recognition experiments of flat entities,nested entities and discontinuous long entities on the CMeEE and CCKS2018 datasets and the Chinese diabetes research literature dataset,respectively.Experimental results show that the method can effectively identify entities with different structures in Chinese medical texts.关键词
中文医学命名实体/位置标签嵌入/结合元素重要程度的实体融合表示/级联识别/线性结构Key words
Chinese medical named entity/positional label embedding/entity fusion representation combining element importance/cascade recognition/linear structure分类
信息技术与安全科学引用本文复制引用
王旭阳,赵丽婕,张继远..位置标签增强的中文医学命名实体级联识别[J].计算机工程与应用,2024,60(2):121-128,8.基金项目
国家自然科学基金(62161019). （62161019）
