@inproceedings{barkhodar-etal-2024-team,
title = "Team Curie at {HSD}-2{L}ang 2024: Hate Speech Detection in {T}urkish and {A}rabic Tweets using {BERT}-based models",
author = {Barkhodar, Ehsan and
Top{\c{c}}u, I{\c{s}}{\i}k and
H{\"u}rriyeto{\u{g}}lu, Ali},
editor = {H{\"u}rriyeto{\u{g}}lu, Ali and
Tanev, Hristo and
Thapa, Surendrabikram and
Uludo{\u{g}}an, G{\"o}k{\c{c}}e},
booktitle = "Proceedings of the 7th Workshop on Challenges and Applications of Automated Extraction of Socio-political Events from Text (CASE 2024)",
month = mar,
year = "2024",
address = "St. Julians, Malta",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2024.case-1.30",
pages = "215--220",
abstract = "Team Curie at HSD-2Lang 2024: Team Curie at HSD-2Lang 2024: Hate Speech Detection in Turkish and Arabic Tweets using BERT-based models This paper has presented our methodologies and findings in tackling hate speech detection in Turkish and Arabic tweets as part of the HSD-2Lang 2024 contest. Through innovative approaches and the fine-tuning of BERT-based models, we have achieved notable F1 scores, demonstrating the potential of our models in addressing the linguistic challenges inherent in Turkish and Arabic languages. The ablation study for Subtask A provided valuable insights into the impact of preprocessing and data balancing on model performance, guiding future enhancements. Our work contributes to the broader goal of improving online content moderation and safety, with future research directions including the expansion to more languages and the integration of multi-modal data and explainable AI techniques.",
}
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<abstract>Team Curie at HSD-2Lang 2024: Team Curie at HSD-2Lang 2024: Hate Speech Detection in Turkish and Arabic Tweets using BERT-based models This paper has presented our methodologies and findings in tackling hate speech detection in Turkish and Arabic tweets as part of the HSD-2Lang 2024 contest. Through innovative approaches and the fine-tuning of BERT-based models, we have achieved notable F1 scores, demonstrating the potential of our models in addressing the linguistic challenges inherent in Turkish and Arabic languages. The ablation study for Subtask A provided valuable insights into the impact of preprocessing and data balancing on model performance, guiding future enhancements. Our work contributes to the broader goal of improving online content moderation and safety, with future research directions including the expansion to more languages and the integration of multi-modal data and explainable AI techniques.</abstract>
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%0 Conference Proceedings
%T Team Curie at HSD-2Lang 2024: Hate Speech Detection in Turkish and Arabic Tweets using BERT-based models
%A Barkhodar, Ehsan
%A Topçu, Işık
%A Hürriyetoğlu, Ali
%Y Hürriyetoğlu, Ali
%Y Tanev, Hristo
%Y Thapa, Surendrabikram
%Y Uludoğan, Gökçe
%S Proceedings of the 7th Workshop on Challenges and Applications of Automated Extraction of Socio-political Events from Text (CASE 2024)
%D 2024
%8 March
%I Association for Computational Linguistics
%C St. Julians, Malta
%F barkhodar-etal-2024-team
%X Team Curie at HSD-2Lang 2024: Team Curie at HSD-2Lang 2024: Hate Speech Detection in Turkish and Arabic Tweets using BERT-based models This paper has presented our methodologies and findings in tackling hate speech detection in Turkish and Arabic tweets as part of the HSD-2Lang 2024 contest. Through innovative approaches and the fine-tuning of BERT-based models, we have achieved notable F1 scores, demonstrating the potential of our models in addressing the linguistic challenges inherent in Turkish and Arabic languages. The ablation study for Subtask A provided valuable insights into the impact of preprocessing and data balancing on model performance, guiding future enhancements. Our work contributes to the broader goal of improving online content moderation and safety, with future research directions including the expansion to more languages and the integration of multi-modal data and explainable AI techniques.
%U https://aclanthology.org/2024.case-1.30
%P 215-220
Markdown (Informal)
[Team Curie at HSD-2Lang 2024: Hate Speech Detection in Turkish and Arabic Tweets using BERT-based models](https://aclanthology.org/2024.case-1.30) (Barkhodar et al., CASE-WS 2024)
ACL