Y. Dupont, Exploration de traits pour la reconnaissance d'entités nommées du français par apprentissage automatique, Traitement Automatique des Langues Naturelles (TALN), 2018.

J. R. Finkel, T. Grenager, and C. Manning, Incorporating Non-local Information into Information Extraction Systems by Gibbs Sampling, Proceedings of the 43nd Annual Meeting of the Association for Computational Linguistics (ACL), pp.363-370, 2005.

J. Lafferty, A. Mccallum, and F. Pereira, Conditional random fields: Probabilistic models for segmenting and labeling sequence data, Proc. of the 18th International Conf. on Machine Learning, pp.282-289, 2001.

G. Lample, M. Ballesteros, S. Subramanian, K. Kawakami, and C. Dyer, Neural architectures for named entity recognition. Conf. of the North American Chapter of the Association for Computational Linguistics (NAACL), pp.260-270, 2016.

T. Lavergne, O. Cappé, and F. Yvon, Practical Very Large Scale (CRFs), Proc. of the 48th Annual Meeting of the Association for Computational Linguistics (ACL), pp.504-513, 2010.

I. Montani and M. Honnibal, Prodigy: A new annotation tool for radically efficient machine teaching, 2017.

F. Moretti, Graphs, Maps, Trees. Abstract Models for a Literary History, vol.160, 2005.

F. Moretti, Distant Reading, vol.244, 2013.

A. Piper, M. Algee-hewitt, K. Sinha, D. Ruths, and H. Vala, , 2017.

, Studying Literary Characters and Character Networks, 2017.

T. Poibeau and L. Kosseim, Proper name extraction from nonjournalistic texts, Language and Computers, vol.37, issue.1, pp.144-157, 2001.

T. Poibeau, The multilingual named entity recognition framework, European Conference of the Association for Computational Linguistics, 2003.
URL : https://hal.archives-ouvertes.fr/hal-00085180

S. Rosset, C. Grouin, and P. Zweigenbaum, Entités nommées structurées : guide d'annotation Quaero. Notes et Documents 2011-04, LIMSI, nouvelle / USPC) Ecole normale supérieure 1 rue Maurice Arnoux 92160, 2011.