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Détection d'erreurs dans des transcriptions OCR de documents historiques par réseaux de neurones récurrents multi-niveau (Combining character level and word level RNNs for post-OCR error detection).

T. Magallon, F. Béchet, and B. Favre. CORIA-TALN-RJC (TALN 2), page 233-240. ATALA, (2018)

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Benoît Favre

Benoît Cordonnier

Non-Newtonian effects in silicate liquids and crystal bearing melts: implication for magma dynamicsB. Cordonnier. Uni München, (2009)

Benoît Mindzeng

Benoît Vaugon

Benoît Delahaye

Other publications of authors with the same name

Toward a Competency-based Approach to Co-designing Technologies with People with Intellectual Disability.A. Bayor, M. Brereton, L. Sitbon, B. Ploderer, F. Bircanin, B. Favre, and S. Koplick. ACM Trans. Access. Comput., 14 (2): 6:1-6:33 (2021)Are cascade dialogue state tracking models speaking out of turn in spoken dialogues?L. Druart, L. Jacqmin, B. Favre, L. Rojas-Barahona, and V. Vielzeuf. CoRR, (2023)Speech segmentation and spoken document processing.M. Ostendorf, B. Favre, R. Grishman, D. Hakkani-Tür, M. Harper, D. Hillard, J. Hirschberg, H. Ji, J. Kahn, Y. Liu and 7 other author(s). IEEE Signal Process. Mag., 25 (3): 59-69 (2008)Correction automatique d'attachements prépositionnels par utilisation de traits visuels (PP-attachement resolution using visual features).S. Delecraz, L. Becerra-Bonache, B. Favre, A. Nasr, and F. Béchet. CORIA-TALN-RJC (TALN), page 171-182. ATALA, (2018)Evaluation automatique de la satisfaction client à partir de conversations de type "chat" par réseaux de neurones récurrents avec mécanisme d'attention (Customer satisfaction prediction with attention-based RNNs from a chat contact center corpus).J. Auguste, D. Charlet, G. Damnati, B. Favre, and F. Béchet. CORIA-TALN-RJC (TALN 2), page 225-232. ATALA, (2018)Do Vision-and-Language Transformers Learn Grounded Predicate-Noun Dependencies?M. Nikolaus, E. Salin, S. Ayache, A. Fourtassi, and B. Favre. EMNLP, page 1538-1555. Association for Computational Linguistics, (2022)Can We Predict Self-reported Customer Satisfaction from Interactions?J. Auguste, D. Charlet, G. Damnati, F. Béchet, and B. Favre. ICASSP, page 7385-7389. IEEE, (2019)Generative and Discriminative Methods Using Morphological Information for Sentence Segmentation of Turkish.Ü. Güz, B. Favre, D. Hakkani-Tür, and G. Tür. IEEE Trans. Speech Audio Process., 17 (5): 895-903 (2009)Text summary evaluation based on interpretable semantic textual similarity.G. Majumder, V. Rajput, P. Pakray, S. Bandyopadhyay, and B. Favre. Multim. Tools Appl., 83 (1): 3233-3258 (January 2024)ASR-Generated Text for Language Model Pre-training Applied to Speech Tasks.V. Pelloin, F. Dary, N. Hervé, B. Favre, N. Camelin, A. Laurent, and L. Besacier. INTERSPEECH, page 3453-3457. ISCA, (2022)

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