北京中医药大学学报Issue(9)：587-590,4.DOI:10.3969/j.issn.1006-2157.2015.09.006
基于条件随机场的《伤寒论》中医术语自动识别
Automatic identification of TCM terminology in Shanghan Lun based on conditional random field
摘要
Abstract
Objective To explore the methods of automatic identification of TCM terminology and to ex-pand the forms of natural language processing in TCM documents.Methods Based on the methods of conditional random field( CRF) , annotation and automatic identification on terms of symptoms, diseases, pulse-types and prescriptions recorded in Shanghan Lun as the research subjects, the effects of different combinations of the features, such as Chinese character itself, part of speech, word boundary and term category label, on identification of terminology were analyzed and the most effective combination was selected.Results The TCM terminology automatic identification model, combining with the features of Chinese character itself, part of speech, word boundary and term category label, had the precision of 85.00%, recall of 68.00%and F score of 75.56%.Conclusion The multi-features model of combi-nation of Chinese character itself, part of speech, word boundary and the term category label achieved the best identifying result in all combinations.关键词
中医术语/条件随机场/伤寒论/自动识别Key words
TCM terminology/conditional random fields/ShangHan Lun/automatic identification分类
医药卫生引用本文复制引用
孟洪宇,谢晴宇,常虹,孟庆刚..基于条件随机场的《伤寒论》中医术语自动识别[J].北京中医药大学学报,2015,(9):587-590,4.基金项目
国家自然科学基金项目 （）
