A. S. Zimmermann-k.-h, D-bees : A novel method inspired by bee colony optimization for solving word sense disambiguation. Swarm and Evolutionary Computation, p.p. ?, 2016.

B. T. , K. S. Bond-f, F. S. , and M. D. Tanaka-t, A reexamination of mrd-based word sense disambiguation, pp.1-4, 2010.

B. S. Pedersen-t, An adapted lesk algorithm for word sense disambiguation using wordnet, CICLing, 2002.

B. S. Pedersen-t, Extended gloss overlaps as a measure of semantic relatedness, 2003.

B. V. Bos and E. K. Venhuizen-n, Developing a large semantically annotated corpus, Proceedings of the Eighth International Conference on Language Resources and Evaluation, pp.3196-3200, 2012.
URL : https://hal.archives-ouvertes.fr/hal-01389432

B. A. Hirst-g, Evaluating wordnet-based measures of lexical semantic relatedness, Computational Linguistics, vol.32, issue.1, pp.13-47, 2006.

C. Y. Ng-h and . Zhong-z, Nus-pt : Exploiting parallel texts for word sense disambiguation in the english all-words tasks, Proceedings of the 4th International Workshop on Semantic Evaluations, SemEval '07, pp.253-256, 2007.

C. X. Liu-z and . Sun-m, A unified model for word sense representation and disambiguation, Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP), pp.1025-1035, 2014.

C. J. and G. J. Guthrie-l, Lexical disambiguation using simulated annealing, COLING 1992, pp.359-365, 1992.

C. I. and W. T. Waltinger-u, WordNet : An electronic lexical database, chapter Modeling, Learning and Processing of Text Technological Data Structures, 2010.

D. S. Dumais-s, F. K. Landauer-t, and . A. Harshman-r, Indexing by latent semantic analysis, Journal of the American Society of Information Science, issue.6, p.41, 1990.

F. W. Ku?eraku?ku?era-h, A Standard Corpus of Present-Day Edited American English, for use with Digital Computers (Brown) Rapport interne, 1964.

G. A. and S. G. Han-s, Evolutionary approach to natural language wsd through global coherence optimization, WSEAS Transactions on Communications, vol.2, issue.1, pp.11-19, 2003.

M. H. Whitney-d, On a Test of Whether one of Two Random Variables is Stochastically Larger than the Other, The Annals of Mathematical Statistics, vol.18, issue.1, pp.50-60, 1947.

M. T. Sutskever-i, C. K. , and C. G. Dean, Distributed representations of words and phrases and their compositionality, Advances in Neural Information Processing Systems 26, pp.3111-3119, 2013.

M. G. Leacock-c and T. R. Bunker-r, A semantic concordance, Proceedings of the workshop on Human Language Technology, HLT '93, pp.303-308, 1993.

M. T. Biemann-c and Z. T. Gurevych-i, Using distributional similarity for lexical expansion in knowledge-based word sense disambiguation, Proceedings of COLING 2012 The COLING 2012 Organizing Committee, pp.1781-1796, 2012.

N. R. Litkowski-k and . Hargraves-o, Semeval-2007 task 07 : Coarse-grained english all-words task, SemEval-2007, pp.30-35, 2007.

N. H. Lee-h, Integrating multiple knowledge sources to disambiguate word sense : an exemplar-based approach, Proceedings of the 34th annual meeting on Association for Computational Linguistics, ACL '96, pp.40-47, 1996.

P. T. Banerjee-s and . Patwardhan-s, Maximizing Semantic Relatedness to Perform WSD, 2005.

S. D. and G. J. Guillaume-n, Désambiguïsation lexicale par propagation de mesures sémantiques locales par algorithmes à colonies de fourmis, Traitement Automatique des Langues Naturelles (TALN), 2011.

S. D. , G. J. , and T. A. Blanchon-h, Ant Colony Algorithm for the Unsupervised Word Sense Disambiguation of Texts : Comparison and Evaluation, Proceedings of the 25th International Conference on Computational Linguistics, 2012.

S. D. , T. A. , and G. J. Sérasset-g, Language Production, Cognition, and the Lexicon, chapter Comparisons of Relatedness Measures Through a Word Sense Disambiguation Task, pp.221-243, 2015.

V. F. Langlais-p and . Lapalme-g, Désambiguïsation de corpus monolingues par des approches de type lesk, Actes de, 2004.

Y. S. Deb, Cuckoo search via lévy flights, Proc. of World Congress on Nature and Biologically Inspired Computing, pp.210-214, 2009.