M. Candito, B. Crabbé, and P. Denis, Statistical French dependency parsing: Treebank conversion and first results, Proceedings of the 7th International Conference on Language Resources and Evaluation, 2010.
URL : https://hal.archives-ouvertes.fr/hal-00495196

M. Candito, J. Nivre, P. Denis, and E. H. Anguiano, Benchmarking of statistical dependency parsers for French, Proceedings of the 23rd International Conference on Computational Linguistics, pp.108-116, 2010.
URL : https://hal.archives-ouvertes.fr/hal-00514815

M. Candito, E. Henestroza-anguiano, and D. Seddah, A Word Clustering Approach to Domain Adaptation: Effective Parsing of Biomedical Texts, Proceedings of the 12th International Conference on Parsing Technologies, 2011.
URL : https://hal.archives-ouvertes.fr/hal-00659577

J. R. Curran, From distributional to semantic similarity, 2004.

P. Denis and B. Sagot, Coupling an annotated corpus and a morphosyntactic lexicon for state-of-the-art POS tagging with less human effort, Proceedings of the 23rd Pacific Asia Conference on Language, Information and Computation, 2009.
URL : https://hal.archives-ouvertes.fr/inria-00514366

E. , H. Anguiano, and P. Denis, FreDist: Automatic construction of distributional thesauri for French, Actes de la 18ème conférence sur le traitement automatique des langues naturelles, pp.119-124, 2011.
URL : https://hal.archives-ouvertes.fr/hal-00602004

J. J. Jiang and D. W. Conrath, Semantic similarity based on corpus statistics and lexical taxonomy, International Conference on Research in Computational Linguistics, 1997.

T. Koo, X. Carreras, and M. Collins, Simple semisupervised dependency parsing, Proceedings of the 46th Annual Meeting of the Association for Computational Linguistics, pp.595-603, 2008.

X. Lin, Y. Fan, M. Zhang, X. Wu, and H. Chi, Refining grammars for parsing with hierarchical semantic knowledge, Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing Volume 3, EMNLP '09, pp.1298-1307, 2009.
DOI : 10.3115/1699648.1699676

D. Lin, Automatic retrieval and clustering of similar words, Proceedings of the 36th Annual Meeting of the Association for Computational Linguistics and 17th International Conference on Computational Linguistics, pp.768-774, 1998.

D. Mccarthy, R. Koeling, J. Weeds, and J. Carroll, Finding predominant word senses in untagged text, Proceedings of the 42nd Annual Meeting on Association for Computational Linguistics , ACL '04, pp.279-286, 2004.
DOI : 10.3115/1218955.1218991

D. Mcclosky and E. Charniak, Self-training for biomedical parsing, Proceedings of the 46th Annual Meeting of the Association for Computational Linguistics on Human Language Technologies Short Papers, HLT '08, pp.101-104, 2008.
DOI : 10.3115/1557690.1557717

J. Nivre, J. Hall, J. Nilsson, G. Eryi, and S. Marinov, Labeled pseudo-projective dependency parsing with support vector machines, Proceedings of the Tenth Conference on Computational Natural Language Learning, CoNLL-X '06, pp.221-225, 2006.
DOI : 10.3115/1596276.1596318

J. Nivre, J. Hall, J. Nilsson, A. Chanev, G. Eryigit et al., Malt- Parser: A language-independent system for datadriven dependency parsing, Natural Language Engineering, issue.02, pp.1395-135, 2007.

J. Nivre, An efficient algorithm for projective dependency parsing, Proceedings of the 8th International Workshop on Parsing Technologies, pp.149-160, 2003.
DOI : 10.3115/1219840.1219853

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.67.2372

S. Petrov, L. Barrett, R. Thibaux, and D. Klein, Learning accurate, compact, and interpretable tree annotation, Proceedings of the 21st International Conference on Computational Linguistics and the 44th annual meeting of the ACL , ACL '06, pp.433-440, 2006.
DOI : 10.3115/1220175.1220230

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.87.6643

K. Sagae and A. Gordon, Clustering words by syntactic similarity improves dependency parsing of predicate-argument structures, Proceedings of the 11th International Conference on Parsing Technologies, IWPT '09, pp.192-201, 2009.
DOI : 10.3115/1697236.1697273

B. Sagot, The Lefff, a freely available, accurate and large-coverage lexicon for French, Proceedings of the 7th International Conference on Language Resources and Evaluation, 2010.

J. Tiedemann, News from OPUS ??? A collection of multilingual parallel corpora with tools and interfaces, Recent Advances in Natural Language Processing, pp.237-248, 2009.
DOI : 10.1075/cilt.309.19tie

D. Xiong, S. Li, Q. Liu, S. Lin, and Y. Qian, Parsing the Penn Chinese Treebank with Semantic Knowledge, Proceedings of the International Joint Conference on Natural Language Processing, pp.70-81, 2005.
DOI : 10.1007/11562214_7

H. Yamada and Y. Matsumoto, Statistical dependency analysis with support vector machines, Proceedings of the 8th International Workshop on Parsing Technologies, pp.195-206, 2003.