A. Abeillé, L. Clément, and F. Toussenel, Building a Treebank for French, Treebanks: building and using parsed corpora, pp.165-168, 2003.
DOI : 10.1007/978-94-010-0201-1_10

R. Boukobza and A. Rappoport, Multi-word expression identification using sentence surface features, Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing Volume 2, EMNLP '09, pp.468-477, 2009.
DOI : 10.3115/1699571.1699573

URL : http://www.cs.huji.ac.il/~arir/mwe-identification.pdf

M. Candito and M. Constant, Strategies for Contiguous Multiword Expression Analysis and Dependency Parsing, Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pp.743-753, 2014.
DOI : 10.3115/v1/P14-1070

URL : https://hal.archives-ouvertes.fr/hal-01022415

M. Carpuat and M. Diab, Task-based evaluation of multiword expressions: a pilot study in statistical machine translation, Proc. of HLT: The 2010 Annual Conf. of the NAACL (NAACL 2003), pp.242-245, 2010.

A. Ekbal and S. Saha, Multiobjective optimization for classifier ensemble and feature selection: an application to named entity recognition, International Journal on Document Analysis and Recognition (IJDAR), vol.34, issue.5, pp.143-166, 2012.
DOI : 10.1109/TSMCB.2004.834438

A. Fazly, P. Cook, and S. Stevenson, Unsupervised Type and Token Identification of Idiomatic Expressions, Computational Linguistics, vol.19, issue.1, pp.61-103, 2009.
DOI : 10.2307/3001968

URL : http://doi.org/10.1162/coli.08-010-r1-07-048

M. Finlayson and N. Kulkarni, Detecting multi-word expressions improves word sense disambiguation, pp.20-24, 2011.

S. Green, M. De-marneffe, and C. D. Manning, Parsing Models for Identifying Multiword Expressions, Computational Linguistics, vol.19, issue.4, pp.195-227, 2013.
DOI : 10.1007/3-540-45154-4_26

URL : http://doi.org/10.1162/coli_a_00139

A. Nasr, C. Ramisch, J. Deulofeu, and A. Valli, Joint Dependency Parsing and Multiword Expression Tokenization, Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 1: Long Papers), pp.1116-1126, 2015.
DOI : 10.3115/v1/P15-1108

URL : https://hal.archives-ouvertes.fr/hal-01199865

J. Nivre and J. Nilsson, Multiword units in syntactic parsing, MEMURA 2004 ? Methodologies and Evaluation of Multiword Units in Real- World Applications (LREC Workshop), pp.39-46, 2004.

N. Okazaki, Crfsuite: a fast implementation of conditional random fields (crfs), 2007.

N. Schneider, E. Danchik, C. Dyer, and A. N. Smith, Discriminative lexical semantic segmentation with gaps: Running the mwe gamut. Transactions of the Association of Computational Linguistics, pp.193-206, 2014.

Y. Shigeto, A. Azuma, S. Hisamoto, S. Kondo, T. Kouse et al., Construction of English MWE dictionary and its application to POS tagging, Proc. of the 9th Workshop on MWEs, pp.139-144, 2013.

M. Silberztein, T. Váradi, and M. Tadi´ctadi´c, Open source multi-platform NooJ for NLP, 2012.

K. Van-den-eynde and P. Mertens, La valence: l'approche pronominale et son application au lexique verbal, Journal of French Language Studies, vol.13, issue.1, pp.63-104, 2003.
DOI : 10.1017/S0959269503001005

V. Vincze, I. Nagy, T. , and G. Berend, Detecting noun compounds and light verb constructions: a contrastive study, pp.116-121, 2011.