J. Azé, T. Heitz, A. Mela, A. Mezaour, P. Peinl et al., Préparation de DEFT'06 (DÉfi Fouille de Textes), Proc. of Atelier DEFT'06, vol.2, 2006.

J. Azé and M. Et-roche, Présentation de l'atelier DEFT'05, Proc. of TALN 2005 -Atelier DEFT'05, vol.2, pp.99-111, 2005.

F. Béchet, M. El-bèze, and J. Torres-moreno, En finir avec la confusion des genres pour mieux séparer les thèmes, DEFT'08, pp.161-170, 2008.

F. Béchet, A. Nasr, and F. Genet, Tagging unknown proper names using decision trees, 38th Annual Meeting of the Association for Computational Linguistics, pp.77-84, 2000.

R. Collobert, S. Bengio, and J. Et-mariéthoz, Torch: a modular machine learning software library, 2002.

W. Daelemans, J. Zavrel, K. Van-der-sloot, and A. Van-den-bosch, Timbl: Tilburg memory based learner, version 5.1, reference guide, ILK Research Group Technical Report Series, pp.4-6, 2004.

M. El-bèze, J. Torres-moreno, and F. Béchet, Peut-on rendre automatiquement à César ce qui lui appartient ? Application au jeu du Chirand-Mitterrac, TALN 2005 -Atelier DEFT'05, vol.2, pp.125-134, 2005.

Y. Freund and R. E. Et-schapire, Experiments with a new boosting algorithm, Thirteenth International Conference on Machine Learning, pp.148-156, 1996.

M. Gordon and D. Et-berchier, Minimerror: A perceptron learning rule that finds the optimal weights, pp.105-110, 1993.

V. Hatzivassiloglou and K. R. Et-mckeown, Predicting the semantic orientation of adjectives, European chapter of the ACL, pp.174-181, 1997.

R. Kuhn and R. Et-de-mori, The application of semantic classification trees to natural language understanding, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.17, issue.5, pp.449-460, 1995.

I. Mani and M. T. Et-maybury, Advances in Automatic Text Summarization, 1999.

J. Quinlan, Induction of decision trees, Machine Learning, vol.1, pp.81-106, 1986.

J. Quinlan, C4. 5: Programs for Machine Learning, 1993.

R. E. Schapire and Y. Singer, BoosTexter: A boosting-based system for text categorization, Machine Learning, vol.39, pp.135-168, 2000.

J. Torres-moreno, J. Aguilar, and M. Et-gordon, Finding the number minimum of errors in N-dimensional parity problem with a linear perceptron, Neural Processing Letters, vol.1, pp.201-210, 2002.

V. N. Vapnik, Estimation of Dependences Based on Empirical Data, 1982.

V. N. Vapnik, The nature of statistical learning theory, 1995.

T. Wilson, J. Wiebe, and P. Et-hoffmann, Recognizing contextual polarity in phrase-level sentiment analysis, HLT/EMNLP, pp.347-354, 2005.