Blei D M, Jordan M J. Latent dirichlet allocation[J]. Journal of Machine Learning Research, 2003(3): 993-1022.
[2]
Wei Xing, Bruce W. LDA-based document models for Ad-hoc retrieval[C]//Proceedings of the 29th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR2006). Seattle: ACM, 2006: 178 - 185.
[3]
Wang Ai, Li Yaodong, Wang Wei. Crosslanguage information retrieval based on LDA[C]//IEEE International Conference on Intelligent Computing and Intelligent Systems(ICIS 2009). Shanghai: IEEE, 2009: 485-490.
[4]
Ye Zheng, Huang Xiangji, Lin Hongfei. Finding a good query-related topic for boosting pseudo relevance feedback[J]. Journal of the American Society for Information Science and Technology, 2011, 62(4): 748-760.
[5]
Wang Xuwen, Zhang Qiang, Wang Xiaojie, et al. LDA based pseudo relevance feedback for cross language information retrieval[C]//IEEE International Conference on Cloud Computing and Intelligence Systems (CCIS2012). Hangzhou: IEEE, 2012: 1993-1998.
[6]
Mimno D, Wallach H M, Naradowsky J, et al. Polylingual topic models[C]//Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing (EMNLP2009). Singapore: ACL, 2009: 880-889.
[7]
Ivan Vuli'c, Wim De Smet, Marie-Francine Moens. Identifying word translations from comparable corpora using latent topic models[C]//Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: shortpapers(ACL2011). Portland, Oregon: ACL, 2011: 479-484.
