计算机应用研究2017，Vol.34Issue(3)：671-674,4.DOI:10.3969/j.issn.1001-3695.2017.03.007
基于结构化事件的主题表示
Topic representation based on structured events
摘要
Abstract
Topic models based on bag-of-words got topics represented by individual words which were difficult to understand.This paper thus proposed using events as documents' terms,meanwhile,considered Biterm topic model combined with GPU model which incorporated event correlation knowledge for inference,alleviated the adverse effect of event sparsity from co-occurrence and semantic two aspects.Experimental results show that the proposed method guarantees both interpretable and coherent topics.关键词
主题模型/主题表示/事件语义/GPU模型Key words
topic model/topic representation/event semantic/GPU model分类
信息技术与安全科学引用本文复制引用
郭晟,孙锐,姬东鸿..基于结构化事件的主题表示[J].计算机应用研究,2017,34(3):671-674,4.基金项目
国家自然科学基金面上资助项目(61373108) （61373108）
国家社科重大招标计划资助项目(11&ZD189) （11&ZD189）
