Release Time:2019-03-11  Hits:

Indexed by: Journal Article

Date of Publication: 2013-08-15

Journal: Journal of Computational Information Systems

Included Journals: Scopus、EI

Volume: 9

Issue: 16

Page Number: 6343-6350

ISSN: 15539105

Abstract: 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.