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Applying the conformal prediction paradigm for the uncertainty quantification of an end-to-end automatic speech recognition model (wav2vec 2.0).

, , , , and . COPA, volume 204 of Proceedings of Machine Learning Research, page 16-35. PMLR, (2023)

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Normalizing SMS: are Two Metaphors Better than One ?, , and . COLING, page 441-448. (2008)Exploiting semantic relations for a spoken language understanding application., , , and . INTERSPEECH, ISCA, (2006)Domain Control for Neural Machine Translation., , and . RANLP, page 372-378. INCOMA Ltd., (2017)Perceived Usefulness of Conversational Agents Predicts Search Performance in Aerospace Domain., , , , and . CIU, page 57:1-57:3. ACM, (2020)A question-answering system for aircraft pilots' documentation., , , , and . CoRR, (2020)Applying the conformal prediction paradigm for the uncertainty quantification of an end-to-end automatic speech recognition model (wav2vec 2.0)., , , , and . COPA, volume 204 of Proceedings of Machine Learning Research, page 16-35. PMLR, (2023)SYSTRAN Purely Neural MT Engines for WMT2017., , , , , , , , , and . WMT, page 265-270. Association for Computational Linguistics, (2017)Knowledge extraction from aeronautical messages (NOTAMs) with self-supervised language models for aircraft pilots., , , and . NAACL-HLT (Industry Papers), page 188-196. Association for Computational Linguistics, (2022)Conception d'une solution de détection d'événements basée sur Twitter (Design of a solution for event detection from Tweeter)., , , , , , , , , and . TALN (3), page 19-20. ATALA, (2017)Extraction d'informations de messages aéronautiques (NOTAMs) avec des modèles de langue appris de façon auto-supervisée (Information extraction from aeronautical messages )., , , and . TALN-RECITAL, page 335-344. ATALA, (2022)