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

O. Biran and K. Mckeown, Aggregated word pair features for implicit discourse relation disambiguation, Proceedings of ACL, 2013.

C. Braud and P. Denis, Combining natural and artificial examples to improve implicit discourse relation identification, Proceedings of COLING, 2014.
URL : https://hal.archives-ouvertes.fr/hal-01017151

C. Braud and P. Denis, Comparing Word Representations for Implicit Discourse Relation Classification, Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015.
DOI : 10.18653/v1/D15-1262

URL : https://hal.archives-ouvertes.fr/hal-01185927

F. Peter, P. V. Brown, R. L. Desouza, V. J. Mercer, J. C. Pietra et al., Classbased n-gram models of natural language, Computational Linguistics, vol.18, pp.467-479, 1992.

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

R. Collobert and J. Weston, A unified architecture for natural language processing, Proceedings of the 25th international conference on Machine learning, ICML '08, 2008.
DOI : 10.1145/1390156.1390177

J. Conrath, S. Afantenos, N. Asher, and P. Muller, Unsupervised extraction of semantic relations using discourse cues, Proceedings of Coling, 2014.
URL : https://hal.archives-ouvertes.fr/hal-01142604

Y. Ji and J. Eisenstein, Representation Learning for Text-level Discourse Parsing, Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2014.
DOI : 10.3115/v1/P14-1002

Y. Ji, G. Zhang, and J. Eisenstein, Closing the Gap: Domain Adaptation from Explicit to Implicit Discourse Relations, Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015.
DOI : 10.18653/v1/D15-1264

A. Johannsen and A. Sgaard, Disambiguating explicit discourse connectives without oracles, Proceedings of IJCNLP, 2013.

I. Jolliffe, Principal component analysis, 2002.
DOI : 10.1007/978-1-4757-1904-8

M. Lan, Y. Xu, and Z. Niu, Leveraging synthetic discourse data via multi-task learning for implicit discourse relation recognition, Proceedings of ACL, 2013.

R. Lebret and R. Collobert, Word emdeddings through Hellinger PCA, Proceedings of ACL, 2014.
DOI : 10.3115/v1/e14-1051

J. Jessy, L. , and A. Nenkova, Reducing sparsity improves the recognition of implicit discourse relations, Proceedings of SIGDIAL, 2014.

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

Z. Lin, H. T. Ng, and M. Kan, Automatically evaluating text coherence using discourse relations, Proceedings of ACL-HLT, 2011.

Z. Lin, H. T. Ng, and M. Kan, A PDTB-styled end-to-end discourse parser, Natural Language Engineering, vol.12, issue.02, pp.151-184, 2014.
DOI : 10.1207/s15516709cog2805_6

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

P. Mitchell, B. Marcus, M. A. Santorini, and . Marcinkiewicz, Building a large annotated corpus of english: The Penn Treebank, Computational Linguistics, vol.19, issue.2, pp.313-330, 1993.

A. Mnih and G. Hinton, Three new graphical models for statistical language modelling, Proceedings of the 24th international conference on Machine learning, ICML '07, 2007.
DOI : 10.1145/1273496.1273577

J. Park and C. Cardie, Improving implicit discourse relation recognition through feature set optimization, Proceedings of SIGDIAL Conference, 2012.

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

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.155.4281

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

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.154.8975

R. Prasad, N. Dinesh, A. Lee, E. Miltsakaki, L. Robaldo et al., The Penn Discourse Treebank 2.0, Proceedings of LREC, 2008.

A. Rutherford and N. Xue, Discovering Implicit Discourse Relations Through Brown Cluster Pair Representation and Coreference Patterns, Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics, 2014.
DOI : 10.3115/v1/E14-1068

A. Rutherford and N. Xue, Improving the Inference of Implicit Discourse Relations via Classifying Explicit Discourse Connectives, Proceedings of the 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2015.
DOI : 10.3115/v1/N15-1081

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

C. Sporleder and A. Lascarides, Exploiting linguistic cues to classify rhetorical relations, Proceedings of RANLP-05, 2005.
DOI : 10.1075/cilt.292.20spo

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.100.5371

C. Sporleder and A. Lascarides, Using automatically labelled examples to classify rhetorical relations: an assessment, Natural Language Engineering, vol.5, issue.03, pp.369-416, 2008.
DOI : 10.1017/S1351324901002728

J. Philip, J. Stone, and . Kirsh, The General Inquirer: A Computer Approach to Content Analysis, 1966.

R. Subba and B. D. Eugenio, An effective discourse parser that uses rich linguistic information, Proceedings of Human Language Technologies: The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics on, NAACL '09, 2009.
DOI : 10.3115/1620754.1620837

M. Taboada, Discourse markers as signals (or not) of rhetorical relations, Journal of Pragmatics, vol.38, issue.4, pp.567-592, 2006.
DOI : 10.1016/j.pragma.2005.09.010

J. Turian, L. Ratinov, and Y. Bengio, Word representations: A simple and general method for semi-supervised learning, Proceedings of ACL, 2010.

D. Peter, P. Turney, and . Pantel, From frequency to meaning : Vector space models of semantics, Journal of Artificial Intelligence Research, pp.141-188, 2010.

Y. Versley and A. Gastel, Linguistic tests for discourse relations in the TüBa-D/Z corpus of written German, Dialogue & Discourse, vol.4, issue.2, pp.142-173, 2013.

X. Wang, S. Li, J. Li, and W. Li, Implicit discourse relation recognition by selecting typical training examples, Proceedings of COLING 2012, 2012.

T. Wilson, J. Wiebe, and P. Hoffmann, Recognizing contextual polarity in phrase-level sentiment analysis, Proceedings of the conference on Human Language Technology and Empirical Methods in Natural Language Processing , HLT '05, 2005.
DOI : 10.3115/1220575.1220619

N. Xue, H. Tou-ng, S. Pradhan, R. Prasad, C. Bryant et al., The CoNLL-2015 Shared Task on Shallow Discourse Parsing, Proceedings of the Nineteenth Conference on Computational Natural Language Learning, Shared Task, 2015.
DOI : 10.18653/v1/K15-2001