Abstract
In recent years, there has been a persistent focus on developing systems that can automatically identify the hate speech content circulating on diverse social media platforms. This paper describes the team “Transformers” submission to the Caste and Migration Hate Speech Detection in Tamil shared task by LT-EDI 2024 workshop at EACL 2024. We used an ensemble approach in the shared task, combining various transformer-based pre-trained models using majority voting. The best macro average F1-score achieved was 0.82. We secured the 1st rank in the Caste and Migration Hate Speech in Tamil shared task.- Anthology ID:
- 2024.ltedi-1.32
- Volume:
- Proceedings of the Fourth Workshop on Language Technology for Equality, Diversity, Inclusion
- Month:
- March
- Year:
- 2024
- Address:
- St. Julian's, Malta
- Editors:
- Bharathi Raja Chakravarthi, Bharathi B, Paul Buitelaar, Thenmozhi Durairaj, György Kovács, Miguel Ángel García Cumbreras
- Venues:
- LTEDI | WS
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 249–253
- Language:
- URL:
- https://aclanthology.org/2024.ltedi-1.32
- DOI:
- Cite (ACL):
- Kriti Singhal and Jatin Bedi. 2024. Transformers@LT-EDI-EACL2024: Caste and Migration Hate Speech Detection in Tamil Using Ensembling on Transformers. In Proceedings of the Fourth Workshop on Language Technology for Equality, Diversity, Inclusion, pages 249–253, St. Julian's, Malta. Association for Computational Linguistics.
- Cite (Informal):
- Transformers@LT-EDI-EACL2024: Caste and Migration Hate Speech Detection in Tamil Using Ensembling on Transformers (Singhal & Bedi, LTEDI-WS 2024)
- PDF:
- https://preview.aclanthology.org/emnlp-22-attachments/2024.ltedi-1.32.pdf