F. Y. Choi, Advances in domain independent linear text segmentation, Proc. NAACL-00, pp.26-33, 2000.

J. Chauché, Un outil multidimensionnel de l'analyse du discours, Proc. Coling'84, pp.11-15, 1984.

S. W. Chan, Using heterogeneous linguistic knowledge in local coherence identification for information retrieval, Journal of Information Science, vol.21, issue.2, pp.313-328, 2000.
DOI : 10.1177/016555150002600504

J. Ellman and J. Tait, Roget???s Thesaurus: An additional knowledge source for Textual CBR?, Proc. 19th SGES Int. Conf. on Knowledge-Based and Applied AI, pp.204-217, 1999.
DOI : 10.1007/978-1-4471-0745-3_14

H. Eui-hong and G. Karypis, Centroid-Based Document Classification: Analysis and Experimental Results, Proc. PKDD, pp.424-431, 2000.

M. A. Hearst, TextTiling: Segmenting text into multi-paragraph subtopic passages. Computational Linguistics, pp.33-64, 1997.
DOI : 10.3115/981732.981734
URL : http://arxiv.org/abs/cmp-lg/9406037

M. A. Hearst and C. Plaunt, Subtopicstructuring for full-length document access, Proc. ACM SIGIR-93, pp.59-68, 1993.

X. Huang, F. Peng, D. Schuurmans, N. Cercone, and S. E. Robertson, Applying Machine Learning to Text Segmentation for Information Retrieval, Information Retrieval, 2003.

M. Kaszkiel and J. Zobel, Passage retrieval revisited, Proc. Twentieth International Conference on Research and Development in Information Access, pp.178-185, 1997.
DOI : 10.1145/278459.258561

J. Karlgren, Stylistic variation in an information retrieval experiment, Proc. NeMLaP-2 Conference, 1996.

M. Kan, J. L. Klavans, and K. R. Mckeown, Linear segmentation and segment significance, Proceedings of WVLC-6, 1998.

A. Labadié and J. Chauché, Segmentation thmatique par calcul de distance smantique, Proc.DEFT06, 2006.

F. Llopisand, A. Ferrandezand, J. L. Vicedoand, and A. Gelbukh, Textsegmentation for efficient information retrieval, Proc. CICLing, pp.373-380, 2002.

A. Moffat, R. Sacks-davis, R. Wilkinson, and J. Zobel, Retrieval of partial documents, Proc. of the Second Text Retrieval Conference TREC-2, pp.181-190, 1994.

J. Morris and G. Hirst, Lexical cohesion computed by thesaural relations as anindicator of the structure of text. Computational Linguistics, pp.21-48, 1991.

T. Nomoto and N. Yoshihiko, A grammatico-statistical approach to discoursepartitioning, Proc. COLING'94, pp.1145-1150, 1994.
DOI : 10.3115/991250.991338
URL : http://acl.ldc.upenn.edu/C/C94/C94-2187.pdf

J. Ponte and B. Croft, Text segmentation by topic, Proc. First EuropeanConference on Research and Advanced Technology for Digitial Libraries, pp.1145-1150, 1997.
DOI : 10.1007/BFb0026725
URL : http://ciir.cs.umass.edu/info/psfiles/irpubs/ir-103.ps.gz

J. C. Reynar, Topic Segmentation: Algorithms and Applications, 1998.

C. C. Yang and K. W. Li, A heuristic method based on a statistical approach for Chinese text segmentation, Journal of the American Society for Information Science and Technology, vol.5, issue.13, pp.438-1447, 2005.
DOI : 10.1002/asi.20237

D. Yarowsky, Word-sense disambiguation using statistical models of Roget's categories trained on large corpora, Proceedings of the 14th conference on Computational linguistics -, pp.454-460, 1992.
DOI : 10.3115/992133.992140

G. Salton, Automatic text processing: the transformation, analysis, and retrieval of information by computer, 1989.

P. Roget, Thesaurus of English Words and Phrases, 1992.
DOI : 10.1017/CBO9781107448735