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WLV-RIT at GermEval 2021: Multitask Learning with Transformers to Detect Toxic, Engaging, and Fact-Claiming Comments

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

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WLV-RIT at GermEval 2021: Multitask Learning with Transformers to Detect Toxic, Engaging, and Fact-Claiming Comments. / Morgan, Skye ; Ranasinghe, Tharindu; Zampieri, Marcos.
Proceedings of the GermEval 2021 Shared Task on the Identification of Toxic, Engaging, and Fact-Claiming Comments. Association for Computational Linguistics, 2021. p. 32-38.

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

Harvard

Morgan, S, Ranasinghe, T & Zampieri, M 2021, WLV-RIT at GermEval 2021: Multitask Learning with Transformers to Detect Toxic, Engaging, and Fact-Claiming Comments. in Proceedings of the GermEval 2021 Shared Task on the Identification of Toxic, Engaging, and Fact-Claiming Comments. Association for Computational Linguistics, pp. 32-38, Konferenz zur Verarbeitung natürlicher Sprache/Conference on Natural Language Processing, Düsseldorf, Germany, 6/09/21. <https://aclanthology.org/2021.germeval-1.5/>

APA

Morgan, S., Ranasinghe, T., & Zampieri, M. (2021). WLV-RIT at GermEval 2021: Multitask Learning with Transformers to Detect Toxic, Engaging, and Fact-Claiming Comments. In Proceedings of the GermEval 2021 Shared Task on the Identification of Toxic, Engaging, and Fact-Claiming Comments (pp. 32-38). Association for Computational Linguistics. https://aclanthology.org/2021.germeval-1.5/

Vancouver

Morgan S, Ranasinghe T, Zampieri M. WLV-RIT at GermEval 2021: Multitask Learning with Transformers to Detect Toxic, Engaging, and Fact-Claiming Comments. In Proceedings of the GermEval 2021 Shared Task on the Identification of Toxic, Engaging, and Fact-Claiming Comments. Association for Computational Linguistics. 2021. p. 32-38

Author

Morgan, Skye ; Ranasinghe, Tharindu ; Zampieri, Marcos. / WLV-RIT at GermEval 2021: Multitask Learning with Transformers to Detect Toxic, Engaging, and Fact-Claiming Comments. Proceedings of the GermEval 2021 Shared Task on the Identification of Toxic, Engaging, and Fact-Claiming Comments. Association for Computational Linguistics, 2021. pp. 32-38

Bibtex

@inproceedings{09291c6fa3ba4d42a8ac304a41d4478f,
title = "WLV-RIT at GermEval 2021: Multitask Learning with Transformers to Detect Toxic, Engaging, and Fact-Claiming Comments",
author = "Skye Morgan and Tharindu Ranasinghe and Marcos Zampieri",
year = "2021",
month = sep,
day = "1",
language = "English",
pages = "32--38",
booktitle = "Proceedings of the GermEval 2021 Shared Task on the Identification of Toxic, Engaging, and Fact-Claiming Comments",
publisher = "Association for Computational Linguistics",
note = "Konferenz zur Verarbeitung nat{\"u}rlicher Sprache/Conference on Natural Language Processing ; Conference date: 06-09-2021 Through 09-09-2021",

}

RIS

TY - GEN

T1 - WLV-RIT at GermEval 2021: Multitask Learning with Transformers to Detect Toxic, Engaging, and Fact-Claiming Comments

AU - Morgan, Skye

AU - Ranasinghe, Tharindu

AU - Zampieri, Marcos

PY - 2021/9/1

Y1 - 2021/9/1

M3 - Conference contribution/Paper

SP - 32

EP - 38

BT - Proceedings of the GermEval 2021 Shared Task on the Identification of Toxic, Engaging, and Fact-Claiming Comments

PB - Association for Computational Linguistics

T2 - Konferenz zur Verarbeitung natürlicher Sprache/Conference on Natural Language Processing

Y2 - 6 September 2021 through 9 September 2021

ER -