M. `-arquez, L. Carreras, X. Litkowski, K. C. Stevenson, and S. , Semantic role labeling: an introduction to the special issue, Comput. Linguist, pp.34-145, 2008.

S. S. Pradhan, W. Ward, and J. H. Martin, Towards Robust Semantic Role Labeling, Computational Linguistics, vol.19, issue.2, pp.289-310, 2008.
DOI : 10.1007/s10994-005-0912-2

URL : http://doi.org/10.1162/coli.2008.34.2.289

S. He and H. Gildea, Self-training and Cotraining for Semantic Role Labeling: Primary Report, 2006.

J. Y. Lee, Y. I. Song, and H. C. Rim, Investigation of Weakly Supervised Learning for Semantic Role Labeling, Sixth International Conference on Advanced Language Processing and Web Information Technology (ALPIT 2007), pp.165-170, 2007.
DOI : 10.1109/ALPIT.2007.97

I. Daumé and H. , Semi-supervised or semi-unsupervised?, Proc. NAACL Wokshop on Semi-supervised Learning for NLP, 2009.

I. Titov and A. Klementiev, Semi-supervised semantic role labeling: Approaching from an unsupervised perspective, Proceedings of the International Conference on Computational Linguistics (COLING), 2012.

D. Jain and M. Beetz, Soft Evidential Update via Markov Chain Monte Carlo Inference, Proc. 33rd Annual German Conf. on Artificial Intelligence, 2010.
DOI : 10.1007/978-3-642-16111-7_32

M. Palmer, D. Gildea, and P. Kingsbury, The Proposition Bank: An Annotated Corpus of Semantic Roles, Computational Linguistics, vol.19, issue.2, pp.31-71, 2005.
DOI : 10.1162/089120101317066122

D. Dowty, Thematic proto-roles and argument selection, Language, vol.67, issue.3, pp.547-619, 1991.
DOI : 10.1353/lan.1991.0021

B. Bohnet, Top accuracy and fast dependency parsing is not a contradiction, Proc. International Conference on Computational Linguistics, 2010.

A. Björkelund, L. Hafdell, and P. Nugues, Multilingual semantic role labeling, Proceedings of the Thirteenth Conference on Computational Natural Language Learning Shared Task, CoNLL '09, pp.43-48, 2009.
DOI : 10.3115/1596409.1596416

K. Deschacht and M. F. Moens, Semi-supervised semantic role labeling using the latent words language model, Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing Volume 1, EMNLP '09, pp.21-29, 2009.
DOI : 10.3115/1699510.1699514

L. Van-der-plas, P. Merlo, and J. Henderson, Scaling up automatic cross-lingual semantic role annotation, Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies: short papers, pp.299-304, 2011.

M. Surdeanu, R. Johansson, A. Meyers, L. Nivre, and J. , The CoNLL-2008 shared task on joint parsing of syntactic and semantic dependencies, Proceedings of the Twelfth Conference on Computational Natural Language Learning, CoNLL '08, pp.159-177, 2008.
DOI : 10.3115/1596324.1596352

X. Zhu, Semi-Supervised Learning Literature Survey, 2005.

N. N. Pise and P. Kulkarni, A Survey of Semi-Supervised Learning Methods, 2008 International Conference on Computational Intelligence and Security, pp.30-34, 2008.
DOI : 10.1109/CIS.2008.204

H. Fürstenau and M. Lapata, Graph alignment for semi-supervised semantic role labeling, Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing Volume 1, EMNLP '09, pp.11-20, 2009.
DOI : 10.3115/1699510.1699513

D. Das and N. A. Smith, Semi-supervised frame-semantic parsing for unknown predicates, Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, pp.1435-1444, 2011.

A. Haghighi and D. Klein, Prototype-driven learning for sequence models, Proceedings of the main conference on Human Language Technology Conference of the North American Chapter of the Association of Computational Linguistics -, pp.320-327, 2006.
DOI : 10.3115/1220835.1220876

A. Haghighi and D. Klein, Prototype-driven grammar induction, Proceedings of the 21st International Conference on Computational Linguistics and the 44th annual meeting of the ACL , ACL '06, pp.881-888, 2006.
DOI : 10.3115/1220175.1220286