Bahash-AI at BLP-2025 Task 1: Bangla Hate Speech Detection using Data Augmentation and Pre-trained Model

Sahinur Rahman Laskar, Bishwaraj Paul


Abstract
In recent times, internet users are frequently exposed to Hate Speech on social media platforms that have long-lasting negative impacts on their mental wellbeing and also radicalizes the society into an environment of fear and distrust. Many methods have been developed to detect and stop propagation of Hate Speech. However, there is a limitation of annotated data available for Hate Speech in Bengali language. In this work, we have used a pretrained BanglaBERT model on an extended train dataset synthesized via data augmentation techniques. Our team Bahash-AI has achieved 20th, 20th and 17th position of the 3 subtasks out of total 37, 24 and 21 total number of teams who participated in the subtasks 1A, 1B and 1C respectively for Bangla Multi-task Hatespeech Identification Shared Task at BLP Workshop with F1 scores of 0.7028, 0.6954, 0.6969 respectively.
Anthology ID:
2025.banglalp-1.33
Volume:
Proceedings of the Second Workshop on Bangla Language Processing (BLP-2025)
Month:
December
Year:
2025
Address:
Mumbai, India
Editors:
Firoj Alam, Sudipta Kar, Shammur Absar Chowdhury, Naeemul Hassan, Enamul Hoque Prince, Mohiuddin Tasnim, Md Rashad Al Hasan Rony, Md Tahmid Rahman Rahman
Venues:
BanglaLP | WS
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
402–407
Language:
URL:
https://preview.aclanthology.org/ingest-ijcnlp-aacl/2025.banglalp-1.33/
DOI:
Bibkey:
Cite (ACL):
Sahinur Rahman Laskar and Bishwaraj Paul. 2025. Bahash-AI at BLP-2025 Task 1: Bangla Hate Speech Detection using Data Augmentation and Pre-trained Model. In Proceedings of the Second Workshop on Bangla Language Processing (BLP-2025), pages 402–407, Mumbai, India. Association for Computational Linguistics.
Cite (Informal):
Bahash-AI at BLP-2025 Task 1: Bangla Hate Speech Detection using Data Augmentation and Pre-trained Model (Laskar & Paul, BanglaLP 2025)
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https://preview.aclanthology.org/ingest-ijcnlp-aacl/2025.banglalp-1.33.pdf