S. Afantenos, N. Asher, F. Benamara, M. Bras, C. Fabre et al., « An empirical resource for discovering cognitive principles of discourse organisation : the ANNODIS corpus, Proceedings of LREC, 2012.

N. Asher and A. Lascarides, Logics of Conversation, 2003.

A. L. Berger, V. J. Pietra, and S. A. Pietra, « A maximum entropy approach to natural language processing », Computational linguistics, 1996.

S. Blair-goldensohn, K. R. Mckeown, and O. C. Rambow, « Building and refining rhetoricalsemantic relation models, Proceedings of NAACL HLT, 2007.

L. Carlson, D. Marcu, and M. E. Okurowski, « Building a discourse-tagged corpus in the framework of rhetorical structure theory, Proceedings of SIGdial, 2001.

C. Chelba and A. Acero, Adaptation of maximum entropy capitalizer: Little data can help a lot, Computer Speech & Language, vol.20, issue.4, 2006.
DOI : 10.1016/j.csl.2005.05.005

I. H. Daumé, « Frustratingly Easy Domain Adaptation, Proceedings of ACL, 2007.

I. H. Daumé, A. Kumar, and A. Saha, « Frustratingly Easy Semi-supervised Domain Adaptation, Proceedings of DANLP, 2010.

I. H. Daumé and D. Marcu, « Domain adaptation for statistical classifiers, Journal of Artificial Intelligence Research, 2006.

J. De-winter, « Using the Student's t-test with extremely small sample sizes », Practical Assessment, 2013.

P. Denis and B. Sagot, « Coupling an annotated corpus and a morphosyntactic lexicon for state-ofthe-art POS tagging with less human effort, Proceedings of PACLIC, 2009.

J. Jiang, Literature Survey on Domain Adaptation of Statistical Classifiers Available from, 2008.

Z. Lin, M. Kan, and H. T. Ng, Recognizing implicit discourse relations in the Penn Discourse Treebank, Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing Volume 1, EMNLP '09, 2009.
DOI : 10.3115/1699510.1699555

Z. Lin, H. T. Ng, and M. Y. Kan, A PDTB-styled end-to-end discourse parser, Natural Language Engineering, vol.12, issue.02, 2010.
DOI : 10.1207/s15516709cog2805_6

W. C. Mann and S. A. Thompson, Rhetorical Structure Theory: Toward a functional theory of text organization, Text - Interdisciplinary Journal for the Study of Discourse, vol.8, issue.3, 1988.
DOI : 10.1515/text.1.1988.8.3.243

D. Marcu and A. Echihabi, An unsupervised approach to recognizing discourse relations, Proceedings of the 40th Annual Meeting on Association for Computational Linguistics , ACL '02, 2002.
DOI : 10.3115/1073083.1073145

J. Moeschler, encodage conceptuel et encodage procédural, 2002.

J. Park and C. Cardie, « Improving Implicit Discourse Relation Recognition Through Feature Set Optimization, Proceedings of SIGdial, 2012.

E. Pitler, A. Louis, and A. Nenkova, Automatic sense prediction for implicit discourse relations in text, Proceedings of the Joint Conference of the 47th Annual Meeting of the ACL and the 4th International Joint Conference on Natural Language Processing of the AFNLP: Volume 2, ACL-IJCNLP '09, 2009.
DOI : 10.3115/1690219.1690241

E. Pitler and A. Nenkova, Using syntax to disambiguate explicit discourse connectives in text, Proceedings of the ACL-IJCNLP 2009 Conference Short Papers on, ACL-IJCNLP '09, 2009.
DOI : 10.3115/1667583.1667589

C. Roze, Vers une algèbre des relations de discours, These, 2013.

C. Roze, L. Danlos, P. Muller, and «. Lexconn, A French Lexicon of Discourse Connectives, p.2012
URL : https://hal.archives-ouvertes.fr/hal-00702542

K. Sagae, Analysis of discourse structure with syntactic dependencies and data-driven shift-reduce parsing, Proceedings of the 11th International Conference on Parsing Technologies, IWPT '09, 2009.
DOI : 10.3115/1697236.1697253

T. Scheffer, Error Estimation and Model Selection, 1999.

A. Sogaard, Semi-Supervised Learning and Domain Adaptation in Natural Language Processing, Synthesis Lectures on Human Language Technologies, vol.6, issue.2, 2013.
DOI : 10.2200/S00497ED1V01Y201304HLT021

C. Soria and G. Ferrari, « Lexical marking of discourse relations-some experimental findings, Proceedings of ACL (Workshop on Discourse Relations and Discourse Markers, 1998.

C. Sporleder and A. Lascarides, « Exploiting linguistic cues to classify rhetorical relations », Amsterdam Studies In The Theory And History Of Linguistic Science Series 4, 2007.

C. Sporleder and A. Lascarides, « Using Automatically Labelled Examples to Classify Rhetorical Relations, An Assessment », Natural Language Engineering, 2008.

S. Varma and R. Simon, Bias in error estimation when using cross-validation for model selection, BMC Bioinformatics, vol.7, issue.1, p.91, 2006.
DOI : 10.1186/1471-2105-7-91

X. Wang, S. Li, J. Li, and W. Li, « Implicit Discourse Relation Recognition by Selecting Typical Training Examples, Proceedings of COLING, 2012.