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/Immigration 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/Immigration Hate Speech in Tamil shared task.- Anthology ID:
- 2024.dravidianlangtech-1.25
- Volume:
- Proceedings of the Fourth Workshop on Speech, Vision, and Language Technologies for Dravidian Languages
- Month:
- March
- Year:
- 2024
- Address:
- St. Julian's, Malta
- Editors:
- Bharathi Raja Chakravarthi, Ruba Priyadharshini, Anand Kumar Madasamy, Sajeetha Thavareesan, Elizabeth Sherly, Rajeswari Nadarajan, Manikandan Ravikiran
- Venues:
- DravidianLangTech | WS
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 151–155
- Language:
- URL:
- https://aclanthology.org/2024.dravidianlangtech-1.25
- DOI:
- Cite (ACL):
- Kriti Singhal and Jatin Bedi. 2024. Transformers@DravidianLangTech-EACL2024: Sentiment Analysis of Code-Mixed Tamil Using RoBERTa. In Proceedings of the Fourth Workshop on Speech, Vision, and Language Technologies for Dravidian Languages, pages 151–155, St. Julian's, Malta. Association for Computational Linguistics.
- Cite (Informal):
- Transformers@DravidianLangTech-EACL2024: Sentiment Analysis of Code-Mixed Tamil Using RoBERTa (Singhal & Bedi, DravidianLangTech-WS 2024)
- PDF:
- https://preview.aclanthology.org/emnlp-22-attachments/2024.dravidianlangtech-1.25.pdf