计算机工程2013，Vol.39Issue(1)：71-75,5.DOI:10.3969/j.issn.1000-3428.2013.01.015
基于多角度关联模型的实体检索方法
Entity Retrieval Method Based on Multi-perspective Association Model
摘要
Abstract
This paper proposes an entity search method based on multi-perspective association model for the problem of searching particular type of entities in information retrieval field. The method employs Named Entity Recognition(NER), text vector, association rules, etc, and traditional search engines as well as Wikipedia, Stanford NER etc. Experimental result on the large Web data collection provided show that, compared with BM25 and traditional Bayesian model, this method increases nDCG@R by 11.49% and 18.09% separately.关键词
文本挖掘/关联规则/实体检索/实体名识别/词频-逆文档频率/维基百科/搜索引擎Key words
text mining/ association rule/ entity retrieval/ Named Entity Recognition(NER)/ Term Frequency Inverse Document Frequency(TF-IDF)/ Wikipedia/ search engine分类
信息技术与安全科学引用本文复制引用
王东,牛军钰..基于多角度关联模型的实体检索方法[J].计算机工程,2013,39(1):71-75,5.基金项目
国家"863"计划基金资助项目(2009AA01Z429) （2009AA01Z429）
