高级工程师
性别：男
毕业院校：大连理工大学
学位：博士
所在单位：计算机科学与技术学院
学科：计算机应用技术
办公地点：创新园大厦D0103房间
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发布时间：2019-03-11
论文类型：期刊论文
发表时间：2013-08-15
发表刊物：Journal of Computational Information Systems
收录刊物：Scopus、EI
卷号：9
期号：16
页面范围：6343-6350
ISSN号：15539105
摘要：This paper proposes a bilingual biomedical topic space model in which both Chinese and English abstract are represented by improved Latent Dirichlet Allocation with SVD and NMF decomposition smoothing methods. The improved LDA-based method is used to calculate the relationship between query and document and combine the results of different matrix factorization. A set of different dimension models is set up, with the help of which we can achieve bilingual cross-language indexing. The experimental results show that our method can improve the retrieval accuracies effectively. ? 2013 Binary Information Press.
