M. Almasri, C. Berrut, and J. Chevallet, A Comparison of Deep Learning Based Query Expansion with Pseudo-Relevance Feedback and Mutual Information, Conférence ECIR, vol.42, issue.5, pp.369-715, 2016.
DOI : 10.1109/AST.2009.24

URL : https://hal.archives-ouvertes.fr/hal-01576603

D. M. Blei, A. Y. Ng, and M. I. Jordan, « Latent Dirichlet Allocation, J. Mach. Learn. Res, vol.3, issue.3, pp.993-1022, 2003.

S. Deerwester, S. T. Dumais, G. W. Furnas, T. K. Landauer, and R. Harshman, Indexing by latent semantic analysis, Journal of the American Society for Information Science, vol.41, issue.6, pp.391-407, 1990.
DOI : 10.1002/(SICI)1097-4571(199009)41:6<391::AID-ASI1>3.0.CO;2-9

URL : http://www.cs.bham.ac.uk/~pxt/IDA/lsa_ind.pdf

Y. Goldberg and O. Levy, « word2vec Explained : deriving Mikolov et al.'s negative-sampling word-embedding method, 2014.

C. D. Manning, P. Raghavan, and H. Schütze, Introduction to Information Retrieval, 2008.
DOI : 10.1017/CBO9780511809071

T. Mikolov, I. Sutskever, K. Chen, G. Corrado, and J. Dean, « Distributed Representations of Words and Phrases and Their Compositionality, Proceedings of the 26th International Conference on Neural Information Processing Systems, NIPS'13, pp.3111-3119, 2004.

M. F. Porter, A language for stemming algorithms, 2001.

N. Rekabsaz, M. Lupu, A. Hanbury, and G. Zuccon, Generalizing Translation Models in the Probabilistic Relevance Framework, Proceedings of the 25th ACM International on Conference on Information and Knowledge Management, CIKM '16, pp.711-720, 2016.
DOI : 10.1145/2838931.2838936

T. Tao, X. Wang, Q. Mei, and C. Zhai, Language model information retrieval with document expansion, Proceedings of the main conference on Human Language Technology Conference of the North American Chapter of the Association of Computational Linguistics -, pp.407-414, 2006.
DOI : 10.3115/1220835.1220887

URL : http://dl.acm.org/ft_gateway.cfm?id=1220887&type=pdf

X. Wei and W. B. Croft, LDA-based document models for ad-hoc retrieval, Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval , SIGIR '06, pp.178-185, 2006.
DOI : 10.1145/1148170.1148204