MultiQT: Multimodal learning for real-time question tracking in speech.

Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

Standard

MultiQT: Multimodal learning for real-time question tracking in speech. / Havtorn, Jakob D.; Latko, Jan; Edin, Joakim; Maaløe, Lars; Borgholt, Lasse; Belgrano, Lorenzo; Jacobsen, Nicolai; Sdun, Regitze; Agic, Zeljko.

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics. Association for Computational Linguistics, 2020. s. 2370-2380.

Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

Harvard

Havtorn, JD, Latko, J, Edin, J, Maaløe, L, Borgholt, L, Belgrano, L, Jacobsen, N, Sdun, R & Agic, Z 2020, MultiQT: Multimodal learning for real-time question tracking in speech. i Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics. Association for Computational Linguistics, s. 2370-2380. https://doi.org/10.18653/v1/2020.acl-main.215

APA

Havtorn, J. D., Latko, J., Edin, J., Maaløe, L., Borgholt, L., Belgrano, L., Jacobsen, N., Sdun, R., & Agic, Z. (2020). MultiQT: Multimodal learning for real-time question tracking in speech. I Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics (s. 2370-2380). Association for Computational Linguistics. https://doi.org/10.18653/v1/2020.acl-main.215

Vancouver

Havtorn JD, Latko J, Edin J, Maaløe L, Borgholt L, Belgrano L o.a. MultiQT: Multimodal learning for real-time question tracking in speech. I Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics. Association for Computational Linguistics. 2020. s. 2370-2380 https://doi.org/10.18653/v1/2020.acl-main.215

Author

Havtorn, Jakob D. ; Latko, Jan ; Edin, Joakim ; Maaløe, Lars ; Borgholt, Lasse ; Belgrano, Lorenzo ; Jacobsen, Nicolai ; Sdun, Regitze ; Agic, Zeljko. / MultiQT: Multimodal learning for real-time question tracking in speech. Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics. Association for Computational Linguistics, 2020. s. 2370-2380

Bibtex

@inproceedings{7f23ada830e14f1d85f25c7b8832ee1b,
title = "MultiQT: Multimodal learning for real-time question tracking in speech.",
author = "Havtorn, {Jakob D.} and Jan Latko and Joakim Edin and Lars Maal{\o}e and Lasse Borgholt and Lorenzo Belgrano and Nicolai Jacobsen and Regitze Sdun and Zeljko Agic",
note = "DBLP License: DBLP's bibliographic metadata records provided through http://dblp.org/ are distributed under a Creative Commons CC0 1.0 Universal Public Domain Dedication. Although the bibliographic metadata records are provided consistent with CC0 1.0 Dedication, the content described by the metadata records is not. Content may be subject to copyright, rights of privacy, rights of publicity and other restrictions.",
year = "2020",
doi = "10.18653/v1/2020.acl-main.215",
language = "English",
pages = "2370--2380",
booktitle = "Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics",
publisher = "Association for Computational Linguistics",

}

RIS

TY - GEN

T1 - MultiQT: Multimodal learning for real-time question tracking in speech.

AU - Havtorn, Jakob D.

AU - Latko, Jan

AU - Edin, Joakim

AU - Maaløe, Lars

AU - Borgholt, Lasse

AU - Belgrano, Lorenzo

AU - Jacobsen, Nicolai

AU - Sdun, Regitze

AU - Agic, Zeljko

N1 - DBLP License: DBLP's bibliographic metadata records provided through http://dblp.org/ are distributed under a Creative Commons CC0 1.0 Universal Public Domain Dedication. Although the bibliographic metadata records are provided consistent with CC0 1.0 Dedication, the content described by the metadata records is not. Content may be subject to copyright, rights of privacy, rights of publicity and other restrictions.

PY - 2020

Y1 - 2020

U2 - 10.18653/v1/2020.acl-main.215

DO - 10.18653/v1/2020.acl-main.215

M3 - Article in proceedings

SP - 2370

EP - 2380

BT - Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics

PB - Association for Computational Linguistics

ER -

ID: 285878238