A. Vilnat, Web-based validation for contextual targeted paraphrasing, Proceedings of the Workshop on Monolingual Text-To-Text Generation, pp.10-19, 2011.

C. Brockett and W. B. Dolan, Support vector machines for paraphrase identification and corpus construction, Third International Workshop on Paraphrasing (IWP2005), pp.1-8, 2005.

J. C. Christopher and . Burges, From ranknet to lambdarank to lambdamart: An overview, 2010.

S. Burrows, M. Potthast, and B. Stein, Paraphrase acquisition via crowdsourcing and machine learning, ACM Transactions on Intelligent Systems and Technology, vol.4, issue.3, pp.1-43, 2013.
DOI : 10.1145/2483669.2483676
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.302.9398

M. Connor and D. Roth, Context sensitive paraphrasing with a single unsupervised classifier, 18th European Conference on MAchine Learning (ECML), pp.289-295, 2007.
DOI : 10.1007/978-3-540-74958-5_13

M. A. Finlayson and N. Kulkarni, Detecting multi-word expressions improves word sense disambiguation, Proceedings of the Workshop on Multiword Expressions: From Parsing and Generation to the Real World, pp.20-24, 2011.

K. Frantzi, S. Ananiadou, and H. Mima, Automatic recognition of multi-word terms:. the C-value/NC-value method, International Journal on Digital Libraries, vol.3, issue.2, pp.115-130, 2000.
DOI : 10.1007/s007999900023

Y. Freund, R. Iyer, E. Robert, Y. Schapire, and . Singer, An efficient boosting algorithm for combining preferences. The Journal of machine learning research, pp.933-969, 2003.

G. Hintz and C. Biemann, Language Transfer Learning for Supervised Lexical Substitution, Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2016.
DOI : 10.18653/v1/P16-1012

D. Kauchak and R. Barzilay, Paraphrasing for automatic evaluation, Proceedings of the main conference on Human Language Technology Conference of the North American Chapter of the Association of Computational Linguistics -, pp.455-462, 2006.
DOI : 10.3115/1220835.1220893
URL : http://acl.ldc.upenn.edu/N/N06/N06-1058.pdf

Z. Kozareva and A. Montoyo, Paraphrase Identification on the Basis of Supervised Machine Learning Techniques, Advances in natural language processing, pp.524-533, 2006.
DOI : 10.1007/11816508_52

G. Kremer, K. Erk, S. Padó, and S. Thater, What Substitutes Tell Us - Analysis of an "All-Words" Lexical Substitution Corpus, Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics, pp.540-549, 2014.
DOI : 10.3115/v1/E14-1057

P. Li, Q. Wu, J. Christopher, and . Burges, Mcrank: Learning to rank using multiple classification and gradient boosting, Advances in neural information processing systems, pp.897-904, 2007.

D. Mccarthy and R. Navigli, SemEval-2007 task 10, Proceedings of the 4th International Workshop on Semantic Evaluations, SemEval '07, pp.48-53, 2007.
DOI : 10.3115/1621474.1621483

D. Mccarthy, B. Keller, and J. Carroll, Detecting a continuum of compositionality in phrasal verbs, Proceedings of the ACL 2003 workshop on Multiword expressions analysis, acquisition and treatment -, pp.73-80, 2003.
DOI : 10.3115/1119282.1119292

O. Melamud, O. Levy, and I. Dagan, A Simple Word Embedding Model for Lexical Substitution, Proceedings of the 1st Workshop on Vector Space Modeling for Natural Language Processing, pp.1-7, 2015.
DOI : 10.3115/v1/W15-1501

A. Pauls and D. Klein, Faster and smaller n-gram language models, Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, pp.258-267, 2011.

E. Pavlick, P. Rastogi, J. Ganitkevitch, B. Van-durme, and C. Callison-burch, PPDB 2.0: Better paraphrase ranking, fine-grained entailment relations, word embeddings, and style classification, Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 2: Short Papers), pp.425-430, 2015.
DOI : 10.3115/v1/P15-2070

C. Ramisch, A. Villavicencio, and C. Boitet, MWEtoolkit: a Framework for Multiword Expression Identification, Proceedings of the Seventh International Conference on Language Resources and Evaluation (LREC'10), pp.134-136, 2010.
URL : https://hal.archives-ouvertes.fr/hal-00959174

P. Radim?eh??ekradim?radim?eh??ek and . Sojka, Software Framework for Topic Modelling with Large Corpora, Proceedings of the LREC 2010 Workshop on New Challenges for NLP Frameworks, pp.45-50, 2010.

E. Ruppert, M. Kaufmann, M. Riedl, and C. Biemann, JoBimViz: A Web-based Visualization for Graph-based Distributional Semantic Models, Proceedings of ACL-IJCNLP 2015 System Demonstrations, pp.103-108, 2015.
DOI : 10.3115/v1/P15-4018

A. Ivan, T. Sag, F. Baldwin, A. A. Bond, D. Copestake et al., Multiword expressions: A pain in the neck for nlp, Proceedings of the Third International Conference on Computational Linguistics and Intelligent Text Processing , CICLing '02, pp.1-15, 2002.

N. Schneider and N. A. Smith, A Corpus and Model Integrating Multiword Expressions and Supersenses, Proceedings of the 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, pp.1537-1547, 2015.
DOI : 10.3115/v1/N15-1177

N. Schneider, E. Danchik, C. Dyer, and N. Smith, Discriminative Lexical Semantic Segmentation with Gaps: Running the MWE Gamut, Transactions of the Association for Computational Linguistics, vol.2, pp.193-206, 2014.

G. Szarvas, R. Busa-fekete, and E. Hüllermeier, Learning to rank lexical substitutions, Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing , EMNLP 2013, pp.1926-1932, 2013.

S. Thater, G. Dinu, and M. Pinkal, Ranking paraphrases in context, Proceedings of the 2009 Workshop on Applied Textual Inference, TextInfer '09, pp.44-47, 2009.
DOI : 10.3115/1708141.1708149

Y. Tsvetkov and S. Wintner, Extraction of multi-word expressions from small parallel corpora, Proceedings of the 23rd International Conference on Computational Linguistics: Posters, COLING '10, pp.1256-1264, 2010.
DOI : 10.3115/1698239.1698241

V. Vincze, I. Nagy, T. , and G. Berend, Multiword Expressions and Named Entities in the Wiki50 Corpus, Proceedings of the International Conference Recent Advances in Natural Language Processing 2011, pp.289-295, 2011.

Y. Wang, L. Wang, Y. Li, D. He, W. Chen et al., A theoretical analysis of NDCG ranking measures, Proceedings of the 26th Annual Conference on Learning Theory, 2013.

F. Xia, T. Liu, J. Wang, W. Zhang, and H. Li, Listwise approach to learning to rank, Proceedings of the 25th international conference on Machine learning, ICML '08, pp.1192-1199, 2008.
DOI : 10.1145/1390156.1390306

S. Zhao, T. Liu, X. Yuan, S. Li, and Y. Zhang, Automatic acquisition of contextspecific lexical paraphrases, International Joint Conference on Artificial Intelligence, 2007.