计算机应用研究2016，Vol.33Issue(10)：2898-2901,4.DOI:10.3969/j.issn.1001-3695.2016.10.004
基于句义结构分析的中文人名消歧
Chinese name disambiguation based on analysis of sentential semantic structure
摘要
Abstract
Many existing methods of name disambiguation based on human features are not suitable for documents due to their sparsity.For solving this problem,this paper proposed a human social relationship based Chinese name disambiguation by ana-lyzing sentential semantic structure.Firstly,it built a graph of social relationships according to the characters of human social relationships.Then,it clustered the relationships by combing with the attributes of the name entity,such as his career and unit, as auxiliary characters.After name disambiguation,original documents could be summarized by the name which the documents discussed.The experimental results show that the analysis of sentential semantic structure is able to improve the precision of personal relationships and attributes,so it effectively improves the performance of name disambiguation.关键词
人名消歧/社会关系/句义结构/辅助特征/聚类Key words
name disambiguation/social relationships/sentential semantic structure/auxiliary characters/cluster分类
信息技术与安全科学引用本文复制引用
熊李艳,赵毅,黄卫春,钟茂生,黄晓辉..基于句义结构分析的中文人名消歧[J].计算机应用研究,2016,33(10):2898-2901,4.基金项目
国家自然科学基金资助项目 （）
