计算机应用与软件2016，Vol.33Issue(5)：72-76,5.DOI:10.3969/j.issn.1000-386x.2016.05.018
无监督实体关系触发词词典自动构建
AUTOMATIC CONSTRUCTION OF ENTITY-RELATION TRIGGER WORD DICTIONARY BASED ON UNSUPERVISED METHOD
摘要
Abstract
Traditional construction of entity-relation trigger word dictionary mainly uses artificial or supervised extended learning methods. However,both of the methods require a lot of human involvement,and when the relation type changes,there has the need to rebuild trigger word dictionary.This paper proposes an unsupervised automatic construction method for entity-relation trigger word dictionary.First,we use hierarchical Dirichlet process to model the relation instance document set,and build candidate trigger word set by topics filtration and words probability weight filtration;then we make use of the dependency parsing to filter the candidate trigger word set once again for acquiring final trigger word dictionary.This method effectively avoids the extensive human involvement required by traditional construction of entity-relation trigger word dictionary.Experiments show that the automatic entity-relation trigger dictionary construction method based on hierarchical Dirichlet process and dependency parsing effectively reduces the manual annotation costs and achieves a higher accuracy.关键词
实体关系触发词词典/分层狄利克雷过程/依存句法分析Key words
Entity-relation trigger word dictionary/Hierarchical Dirichlet process/Dependency parsing分类
信息技术与安全科学引用本文复制引用
刘绍毓,席耀一,李弼程,唐永旺,陈刚..无监督实体关系触发词词典自动构建[J].计算机应用与软件,2016,33(5):72-76,5.基金项目
国家高技术研究发展计划项目（2011AA 7032030D）；全军军事研究生课题（军事学YJS1062）。 （）
