Cross-language information retrieval models based on latent topic models trained with document-aligned comparable corpora-Reference-Cited by-同舟云学术

Cross-language information retrieval models based on latent topic models trained with document-aligned comparable corpora

Published:2012-05-05 Issue:3 Volume:16 Page:331-368
ISSN:1386-4564
Container-title:Information Retrieval
language:en
Short-container-title:Inf Retrieval

Author:

Vulić Ivan,De Smet Wim,Moens Marie-Francine

Publisher

Springer Science and Business Media LLC

Subject

Library and Information Sciences,Information Systems

Link

http://link.springer.com/content/pdf/10.1007/s10791-012-9200-5.pdf

Reference59 articles.

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3. Berger, A., & Lafferty, J. (1999). Information retrieval as statistical translation. In: Proceedings of the 22nd annual international ACM SIGIR conference on research and development in information retrieval (pp. 222–229).

4. Blei, D. M., Ng, A. Y., & Jordan, M. I. (2003). Latent Dirichlet allocation. Journal of Machine Learning Research, (3), 993–1022.

5. Boyd-Graber, J., & Blei, D. M. (2009). Multilingual topic models for unaligned text. In: Proceedings of the 25th conference on uncertainty in artificial intelligence (pp. 75–82).

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