1. Bedi, H., Patil, S., Hingmire, S., Palshikar, G.: Event timeline generation from history textbooks. In: Proceedings of the 4th Workshop on Natural Language Processing Techniques for Educational Applications (NLPTEA 2017), pp. 69–77 (2017)
2. Boros, E.: Neural methods for event extraction. Ph.D. thesis, Université Paris Sud (2018)
3. Boros, E., Besançon, R., Ferret, O., Grau, B.: The importance of character-level information in an event detection model. In: International Conference on Applications of Natural Language to Information Systems, pp. 119–131. Springer (2021)
4. Boroş, E., Besançon, R., Ferret, O., Grau, B.: Intérêt des modèles de caractères pour la détection d’événements (the interest of character-level models for event detection). In: Actes de la 28e Conférence sur le Traitement Automatique des Langues Naturelles. Volume 1: conférence principale, pp. 179–188 (2021)
5. Boros, E., Hamdi, A., Linhares Pontes, E., Cabrera-Diego, L.A., Moreno, J.G., Sidere, N., Doucet, A.: Alleviating digitization errors in named entity recognition for historical documents. In: Proceedings of the 24th Conference on Computational Natural Language Learning, pp. 431–441. Association for Computational Linguistics, Online (2020). https://doi.org/10.18653/v1/2020.conll-1.35. https://www.aclweb.org/anthology/2020.conll-1.35