C. Akkaya, A. Conrad, J. Wiebe, and R. Mihalcea, Amazon mechanical turk for subjectivity word sense disambiguation, Proceedings of the NAACL HLT 2010 Workshop on Creating Speech and Language Data with Amazon's Mechanical Turk, pp.195-203, 2010.

G. Artignan, M. Hascoët, and M. Lafourcade, Multiscale Visual Analysis of Lexical Networks, 2009 13th International Conference Information Visualisation, pp.685-690, 2009.
DOI : 10.1109/IV.2009.100

URL : https://hal.archives-ouvertes.fr/lirmm-00410644

V. Basile, J. Bos, K. Evang, and N. J. Venhuizen, Developing a large semantically annotated corpus, Proceedings of the Eighth International Conference on Language Resources and Evaluation (LREC'12) European Language Resources Association (ELRA), 2012.
URL : https://hal.archives-ouvertes.fr/hal-01389432

B. Klebanov, B. , and E. Beigman, From Annotator Agreement to Noise Models, Computational Linguistics, vol.24, issue.2, pp.495-503, 2009.
DOI : 10.1007/s10579-005-7880-9

B. Carpenter, Multilevel bayesian models of categorical data annotation, 2008.

J. Chamberlain, M. Poesio, and U. Kruschwitz, Addressing the resource bottleneck to create large-scale annotated texts, Proceedings of the 2008 Conference on Semantics in Text Processing, STEP '08, pp.375-380, 2008.
DOI : 10.3115/1626481.1626511

C. Fellbaum, WordNet. An Electronic Lexical Database, 1998.
URL : https://hal.archives-ouvertes.fr/halshs-00751113

A. Kilgarriff and J. Rosenzweig, Framework and results for English SENSEVAL, Computers and the Humanities, vol.34, issue.1/2, pp.15-48, 2000.
DOI : 10.1023/A:1002693207386

V. Raykar, S. Yu, L. Zhao, G. Valadez, C. Florin et al., Learning from crowds, The Journal of Machine Learning Research, vol.11, pp.1297-1322, 2010.

A. Rumshisky, N. Botchan, S. Kushkuley, and J. Pustejovsky, Word sense inventories by nonexperts, Proceedings of the Eighth International Conference on Language Resources and Evaluation (LREC'12) European Language Resources Association (ELRA), 2012.

R. Snow, B. O-'connor, D. Jurafsky, and A. Ng, Cheap and fast---but is it good?, Proceedings of the Conference on Empirical Methods in Natural Language Processing, EMNLP '08, pp.254-263, 2008.
DOI : 10.3115/1613715.1613751