UFAL-ULD at BLP-2023 Task 1: Violence Detection in Bangla Text

Sourabrata Mukherjee, Atul Kr. Ojha, Ondřej Dušek


Abstract
In this paper, we present UFAL-ULD team’s system, desinged as a part of the BLP Shared Task 1: Violence Inciting Text Detection (VITD). This task aims to classify text, with a particular challenge of identifying incitement to violence into Direct, Indirect or Non-violence levels. We experimented with several pre-trained sequence classification models, including XLM-RoBERTa, BanglaBERT, Bangla BERT Base, and Multilingual BERT. Our best-performing model was based on the XLM-RoBERTa-base architecture, which outperformed the baseline models. Our system was ranked 20th among the 27 teams that participated in the task.
Anthology ID:
2023.banglalp-1.27
Volume:
Proceedings of the First Workshop on Bangla Language Processing (BLP-2023)
Month:
December
Year:
2023
Address:
Singapore
Editors:
Firoj Alam, Sudipta Kar, Shammur Absar Chowdhury, Farig Sadeque, Ruhul Amin
Venue:
BanglaLP
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
220–224
Language:
URL:
https://aclanthology.org/2023.banglalp-1.27
DOI:
10.18653/v1/2023.banglalp-1.27
Bibkey:
Cite (ACL):
Sourabrata Mukherjee, Atul Kr. Ojha, and Ondřej Dušek. 2023. UFAL-ULD at BLP-2023 Task 1: Violence Detection in Bangla Text. In Proceedings of the First Workshop on Bangla Language Processing (BLP-2023), pages 220–224, Singapore. Association for Computational Linguistics.
Cite (Informal):
UFAL-ULD at BLP-2023 Task 1: Violence Detection in Bangla Text (Mukherjee et al., BanglaLP 2023)
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PDF:
https://aclanthology.org/2023.banglalp-1.27.pdf