Normalizing SMS: are two metaphors better than one? C Kobus, F Yvon, G Damnati Proceedings of the 22nd international conference on computational …, 2008 | 219 | 2008 |
Domain Control for Neural Machine Translation C Kobus, J Crego, J Senellart Proceedings of Recent Advances in Natural Language Processing, Varna …, 2016 | 193 | 2016 |
Systran's pure neural machine translation systems J Crego, J Kim, G Klein, A Rebollo, K Yang, J Senellart, E Akhanov, ... arXiv preprint arXiv:1610.05540, 2016 | 156 | 2016 |
Transcrire les SMS comme on reconnaît la parole C Kobus, F Yvon, G Damnati Actes de la 15ème conférence sur le Traitement Automatique des Langues …, 2008 | 32 | 2008 |
Evaluation of conversational agents for aerospace domain YH Liu, A Arnold, G Dupont, C Kobus, F Lancelot CEUR Workshop Proceedings 2621, 2020 | 11 | 2020 |
SYSTRAN Purely Neural MT Engines for WMT2017 Y Deng, J Kim, G Klein, C Kobus, N Segal, C Servan, B Wang, D Zhang, ... WMT 2017, 265, 2017 | 8 | 2017 |
Systran’s pure neural machine translation systems. CoRR abs/1610.05540 JM Crego, J Kim, G Klein, A Rebollo, K Yang, J Senellart, E Akhanov, ... | 7 | 2016 |
Perceived usefulness of conversational agents predicts search performance in aerospace domain A Arnold, G Dupont, C Kobus, F Lancelot, YH Liu Proceedings of the 2nd Conference on Conversational User Interfaces, 1-3, 2020 | 5 | 2020 |
Conversational agent for aerospace question answering: A position paper A Arnold, G Dupont, C Kobus, F Lancelot Proceedings of the 1st Workshop on Conversational Interaction Systems (WCIS …, 2019 | 5 | 2019 |
A question-answering system for aircraft pilots' documentation A Arnold, G Dupont, F Furger, C Kobus, F Lancelot arXiv preprint arXiv:2011.13284, 2020 | 3 | 2020 |
Applying the conformal prediction paradigm for the uncertainty quantification of an end-to-end automatic speech recognition model (wav2vec 2.0) F Ernez, A Arnold, A Galametz, C Kobus, N Ould-Amer Conformal and Probabilistic Prediction with Applications, 16-35, 2023 | 2 | 2023 |
Knowledge extraction from aeronautical messages (NOTAMs) with self-supervised language models for aircraft pilots A Arnold, F Ernez, C Kobus, MC Martin Proceedings of the 2022 Conference of the North American Chapter of the …, 2022 | 2 | 2022 |
Interprétation et visualisation contextuelle de NOTAMs (messages aux navigants aériens) A Arnold, G Dupont, C Kobus, F Lancelot, P Narayan 26e Conférence sur le Traitement Automatique des Langues Naturelles, 639-643, 2019 | 2 | 2019 |
Conceptual language model design for spoken language understanding. C Kobus, G Damnati, L Delphin-Poulat, R de Mori INTERSPEECH, 3465-3468, 2005 | 2 | 2005 |
Extraction d'informations de messages aéronautiques (NOTAMs) avec des modèles de langue appris de façon auto-supervisée A Arnold, F Ernez, C Kobus, MC Martin Traitement Automatique des Langues Naturelles (TALN 2022), 335-344, 2022 | 1 | 2022 |
Exploitation d'informations d'ordre sémantique pour la reconnaissance vocale dans le contexte d'une application de compréhension de la parole C Kobus Atelier national de reproduction des thèses, 2009 | 1 | 2009 |
Exploiting semantic relations for a Spoken Language Understanding application C Kobus, G Damnati, L Delphin-Poulat, RD Mori Ninth International Conference on Spoken Language Processing, 2006 | 1 | 2006 |
User Evaluation of Conversational Agents for Aerospace Domain YH Liu, A Arnold, G Dupont, C Kobus, F Lancelot, G Granger, Y Rouillard, ... International Journal of Human–Computer Interaction, 1-20, 2023 | | 2023 |
Conception d’une solution de détection d’événements basée sur Twitter (Design of a solution for event detection from Tweeter) C Servan, C Kobus, Y Deng, C Touffet, J Kim, I Kapp, D Mostefa, ... Actes des 24ème Conférence sur le Traitement Automatique des Langues …, 2017 | | 2017 |
SYSTRAN’s Pure Neural Machine Translation Systems https://arxiv.org/abs/1610.05540, 2016 | | 2016 |