摘要
研究国内外现有术语语义层次关联的主要方法,针对如何获取术语语义层次内部结构的关键问题,构建术语语义层次获取流程,采用多重聚类方法获取层次关系,结合综合相似度计算方法提取层次内部的聚类标签,并选取一定的语料进行实验,验证该流程的合理性。
Term semantic relationship is a key step of Chinese text information processing. Through researches on some existing methods at home and abroad, a process of term semantic hierarchy induction is proposed, which uses multiple clustering method to get the whole hierarchy, and combine with comprehensive similarity eaculation to get the label of classes. Finally, some experiments are done to verify its rationality.
出处
《现代图书情报技术》
CSSCI
北大核心
2010年第9期37-41,共5页
New Technology of Library and Information Service
关键词
术语语义层次
领域中文信息处理
术语关联
Term semantic hierarchy Domain- specific text information processing Term relationship
