A. Abeillé, D. Godard, and P. Miller, Les causatives en fran??ais, un cas de comp??tition syntaxique, Langue fran??aise, vol.115, issue.1, pp.62-74, 1997.
DOI : 10.3406/lfr.1997.6222

W. Ammar, G. Mulcaire, M. Ballesteros, C. Dyer, A. Noah et al., Many languages , one parser, Transactions of the Association for Computational Linguistics, vol.4, pp.431-444, 2016.

M. Ballesteros, B. Bohnet, S. Mille, and L. Wanner, Abstract, Natural Language Engineering, vol.13, issue.06, pp.939-974, 2016.
DOI : 10.3115/v1/S14-2008

K. Baschung, Une approche lexicalis??e des ph??nom??nes de contr??le, Langages, vol.30, issue.122, pp.96-123, 1996.
DOI : 10.3406/lgge.1996.1751

A. Böhmová, J. Haji?, E. Haji?ová, and B. Hladká, The prague dependency treebank, Treebanks, pp.103-127, 2003.

B. Bohnet, A. Langjahr, and L. Wanner, A development environment for an MTT-based sentence generator, Proceedings of the first international conference on Natural language generation , INLG '00, pp.260-263, 2000.
DOI : 10.3115/1118253.1118292

URL : http://acl.ldc.upenn.edu/W/W00/W00-1436.pdf

A. Cahill, M. Burke, R. O. Donovan, J. Van-genabith, and A. Way, Long-Distance Dependency Resolution in Automatically Acquired, 2004.
DOI : 10.3115/1218955.1218996

URL : http://www.computing.dcu.ie/~acahill/publications/2004/Cahill2004.pdf

M. Candito and D. Seddah, Le corpus Sequoia : annotation syntaxique et exploitation pour l'adaptation d'analyseur par pont lexical, Proc. of TALN, 2012.
URL : https://hal.archives-ouvertes.fr/hal-00698938

M. Candito, G. Perrier, B. Guillaume, C. Ribeyre, K. Fort et al., Deep Syntax Annotation of the Sequoia French Treebank, Proc. of LREC, 2014.
URL : https://hal.archives-ouvertes.fr/hal-00969191

W. Croft, D. Nordquist, K. Looney, and M. Regan, Linguistic typology meets universal dependencies, 15th International Workshop on Treebanks and Linguistic Theories (TLT15), 2017.

M. De-marneffe, D. Christopher, and . Manning, Stanford typed dependencies manual, 2008.

K. Gerdes and S. Kahane, Dependency Annotation Choices: Assessing Theoretical and Practical Issues of Universal Dependencies, Proceedings of the 10th Linguistic Annotation Workshop held in conjunction with ACL 2016 (LAW-X 2016), pp.131-140, 2016.
DOI : 10.18653/v1/W16-1715

URL : https://hal.archives-ouvertes.fr/halshs-01509118

B. Guillaume, G. Bonfante, P. Masson, M. Morey, and G. Perrier, Grew : un outil de réécriture de graphes pour le TAL, Proc. of TALN, 2012.

J. Hajic, J. Panevová, E. Hajicová, P. Sgall, P. Pajas et al., Zdenek Zabokrtsk`Zabokrtsk`y, and Magda?evc?kováMagda?Magda?evc?ková Raz?mová, Prague dependency treebank 2.0. CD-ROM, p.98, 2006.

J. Hockenmaier, Data and models for statistical parsing with Combinatory Categorial Grammar, 2003.
DOI : 10.3115/1073083.1073139

URL : http://www.ltg.ed.ac.uk/~julia/./HockenmaierACL2002.ps

L. Iordanskaja and I. Melcuk, The notion of surface-syntactic relation revisited (valencecontrolled surface-syntactic relations in french), 2000.

A. Ivanova, S. Oepen, L. Øvrelid, and D. Flickinger, Who did what to whom?: A contrastive study of syntacto-semantic dependencies, Proc. of the 6th Linguistic Annotation Workshop (LAW-VI 2012), pp.2-11, 2012.

. Sylvain-kahane, On the status of deep syntactic structure, Proc. of the First Meaning-Text Theory conference, 2003.

K. Knight, L. Baranescu, C. Bonial, M. Georgescu, K. Griffitt et al., Abstract meaning representation (amr), 2014.

M. Kuhlmann and S. Oepen, Towards a catalogue of linguistic graph banks, Computational Linguistics, vol.42, issue.4, 2016.

T. Ryan, J. Mcdonald, Y. Nivre, Y. Quirmbach-brundage, D. Goldberg et al., Universal dependency annotation for multilingual parsing, ACL, pp.92-97, 2013.

I. Mel?uk, Dependency syntax: theory and practice, 1988.

O. Michalon, C. Ribeyre, M. Candito, and A. Nasr, Deeper syntax for better semantic parsing, Proc. of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers, pp.409-420, 2016.
URL : https://hal.archives-ouvertes.fr/hal-01391678

S. Mille, A. Burga, and L. Wanner, AnCoraUPF: A Multi-Level Annotation of Spanish, 2013.

Y. Miyao and J. Tsujii, Probabilistic disambiguation models for wide-coverage HPSG parsing, Proceedings of the 43rd Annual Meeting on Association for Computational Linguistics , ACL '05, pp.83-90, 2005.
DOI : 10.3115/1219840.1219851

URL : http://acl.ldc.upenn.edu/p/p05/p05-1011.pdf

J. Nivre, M. De-marneffe, F. Ginter, Y. Goldberg-hajic, D. Christopher et al., Universal dependencies v1: A multilingual treebank collection, Proc. of LREC 2016, pp.1659-1666, 2016.

S. Oepen, M. Kuhlmann, Y. Miyao, D. Zeman, D. Flickinger-hajic et al., SemEval 2014 Task 8: Broad-Coverage Semantic Dependency Parsing, Proceedings of the 8th International Workshop on Semantic Evaluation (SemEval 2014), pp.63-72, 2014.
DOI : 10.3115/v1/S14-2008

G. Perrier, M. Candito, B. Guillaume, C. Ribeyre, K. Fort et al., Annotation scheme for deep dependency syntax of french (un schéma d'annotation en dépendances syntaxiques profondes pour le français) [in french, Proc. of TALN 2014, pp.574-579, 2014.

S. Petrov, D. Das, and R. Mcdonald, A universal part-of-speech tagset. arXiv preprint arXiv, pp.1104-2086, 2011.

S. Reddy, O. Täckström, S. Petrov, M. Steedman, and M. Lapata, Universal semantic parsing. arXiv preprint, 2017.

C. Ribeyre, D. Seddah, and . Andéricand´andéric-villemonte-de-la-clergerie, A Linguisticallymotivated 2-stage Tree to Graph Transformation, Proc. of TAG+11, 2012.
URL : https://hal.archives-ouvertes.fr/hal-00765422

L. Rimell, S. Clark, and M. Steedman, Unbounded dependency recovery for parser evaluation, Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing Volume 2, EMNLP '09, pp.813-821, 2009.
DOI : 10.3115/1699571.1699619

URL : http://www.cl.cam.ac.uk/%7Elr346/pubs/emnlp09.pdf

M. Sanguinetti and C. Bosco, PartTUT: The Turin University Parallel Treebank, Harmonization and development of resources and tools for Italian Natural Language Processing within the PARLI project, 2014.
DOI : 10.1007/978-3-319-14206-7_3

S. Schuster and C. D. Manning, Enhanced english universal dependencies: An improved representation for natural language understanding tasks, Proc. of LREC 2016, 2016.