IIITDWD-zk@DravidianLangTech-2024: Leveraging the Power of Language Models for Hate Speech Detection in Telugu-English Code-Mixed Text
Zuhair Shaik, Sai Kartheek Reddy Kasu, Sunil Saumya, Shankar Biradar
Abstract
Hateful online content is a growing concern, especially for young people. While social media platforms aim to connect us, they can also become breeding grounds for negativity and harmful language. This study tackles this issue by proposing a novel framework called HOLD-Z, specifically designed to detect hate and offensive comments in Telugu-English code-mixed social media content. HOLD-Z leverages a combination of approaches, including three powerful models: LSTM architecture, Zypher, and openchat_3.5. The study highlights the effectiveness of prompt engineering and Quantized Low-Rank Adaptation (QLoRA) in boosting performance. Notably, HOLD-Z secured the 9th place in the prestigious HOLD-Telugu DravidianLangTech@EACL-2024 shared task, showcasing its potential for tackling the complexities of hate and offensive comment classification.- Anthology ID:
- 2024.dravidianlangtech-1.22
- 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:
- 134–139
- Language:
- URL:
- https://aclanthology.org/2024.dravidianlangtech-1.22
- DOI:
- Cite (ACL):
- Zuhair Shaik, Sai Kartheek Reddy Kasu, Sunil Saumya, and Shankar Biradar. 2024. IIITDWD-zk@DravidianLangTech-2024: Leveraging the Power of Language Models for Hate Speech Detection in Telugu-English Code-Mixed Text. In Proceedings of the Fourth Workshop on Speech, Vision, and Language Technologies for Dravidian Languages, pages 134–139, St. Julian's, Malta. Association for Computational Linguistics.
- Cite (Informal):
- IIITDWD-zk@DravidianLangTech-2024: Leveraging the Power of Language Models for Hate Speech Detection in Telugu-English Code-Mixed Text (Shaik et al., DravidianLangTech-WS 2024)
- PDF:
- https://preview.aclanthology.org/emnlp-22-attachments/2024.dravidianlangtech-1.22.pdf