MultiQT: Multimodal Learning for Real-Time Question Tracking in Speech

Autor: Jan Latko, Joakim Edin, Lorenzo Belgrano, Jakob D. Havtorn, Nicolai F. Jacobsen, Lasse Borgholt, Regitze Sdun, Lars Maaløe, Željko Agić

Publikováno v: ACL
Havtorn, J D, Latko, J, Edin, J, Borgholt, L, Maaloe, L, Belgrano, L, Jacobsen, N F, Sdun, R & Agic, Z 2020, MultiQT: Multimodal Learning for Real-Time Question Tracking in Speech . in Proceedings of 58 th Annual Meeting of the Association for Computational Linguistics . pp. 2370-2380, 58 th Annual Meeting of the Association for Computational Linguistics, 06/07/2020 .

We address a challenging and practical task of labeling questions in speech in real time during telephone calls to emergency medical services in English, which embeds within a broader decision support system for emergency call-takers. We propose a no

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