N. Béchet, M. Roche, and J. Chauché, Improving LSA by expanding the contexts, proceedings of Context­Based Information Retrieval (CIR) workshop ? CONTEXT'O7 (short paper), pp.105-108, 2007.

N. Béchet, M. Roche, and J. Chauché, ExpLSA : utilisation d'informations syntaxico­sémantiques associées à LSA pour améliorer les méthodes de classification conceptuelle, 2008.

D. Bourigault, UPERY : un outil d'analyse distributionnelle étendue pour la construction d'ontologies à partir de corpus, Actes de TALN, pp.75-84, 2002.

E. Brill, Some advances in transformation­based part of speech tagging, In AAAI, vol.1, pp.722-727, 1994.

J. Chauché, Un outil multidimensionnel de l'analyse du discours, Proceedings of Coling, pp.11-15, 1984.

A. Cornuéjols and L. Miclet, Apprentissage artificiel, 2002.

D. Faure, Conception de méthode d'apprentissage symbolique et automatique pour l'acquisition de cadres de sous­catégorisation de verbes et de connaissances sémantiques à partir de textes : le système ASIUM, 2000.

W. J. Fitzgerald, The restoration of missing data using Bayesian numerical methods, 1999 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings. ICASSP99 (Cat. No.99CH36258), 1999.
DOI : 10.1109/ICASSP.1999.758334

D. Kanejiya, A. Kumar, and S. Prasad, Automatic evaluation of students' answers using syntactically enhanced LSA, Proceedings of the HLT-NAACL 03 workshop on Building educational applications using natural language processing -, 2003.
DOI : 10.3115/1118894.1118902

T. Landauer and S. Dumais, A solution to Plato's problem: The latent semantic analysis theory of acquisition, induction, and representation of knowledge., Psychological Review, vol.104, issue.2, pp.211-240, 1997.
DOI : 10.1037/0033-295X.104.2.211

T. Landauer, D. Laham, B. Rehder, and M. E. Schreiner, How well can passage meaning be derived without using word order? a comparison of latent semantic analysis and humans, Proceedings of the 19th annual meeting of the Cognitive Science Society, pp.412-417, 1997.

D. I. Moldovan and R. Mihalcea, Using WordNet and lexical operators to improve Internet searches, IEEE Internet Computing, vol.4, issue.1, pp.34-43, 2000.
DOI : 10.1109/4236.815847

J. Platt, Fast training of support vector machines using sequential minimal optimization, Advances in Kernel Methods ? Support Vector Learning, pp.185-208, 1999.

B. Rehder, M. Schreiner, M. Wolfe, D. Laham, T. Landauer et al., Using latent semantic analysis to assess knowledge: Some technical considerations, Discourse Processes, pp.337-354, 1998.
DOI : 10.1080/01638539809545030

M. Roche and J. Chauché, LSA : les limites d'une approche statistique, Proceedings of atelier FDC'06 (Fouille de Données Complexes), conférence EGC'2006, pp.95-106, 2006.
URL : https://hal.archives-ouvertes.fr/lirmm-00102797

P. D. Turney, Mining theWeb for synonyms: PMI? R versus LSA on TOEFL, Proceedings of ECML'01, pp.491-502, 2001.

E. M. Voorhees, Query Expansion using Lexical­Semantic Relations, Proceedings of ACM SIGIR'94, 1994.

P. Wiemer­hastings and I. Zipitria, Rules for syntax, vectors for semantics, Proceedings of the Twenty­third Annual Conference of the Cognitive Science Society, 2001.