Abstract
Fake News Detection in Dravidian Languages is a shared task that identifies youtube comments in the Malayalam language for fake news detection. In this work, we have proposed a transformer-based model with cross-entropy loss and focal loss, which classifies the comments into fake or authentic news. We have used different transformer-based models for the dataset with modifications in the experimental setup, out of which the fine-tuned model, which is based on MuRIL with focal loss, achieved the best overall macro F1-score of 0.87, and we got second position in the final leaderboard.- Anthology ID:
- 2023.dravidianlangtech-1.29
- Volume:
- Proceedings of the Third Workshop on Speech and Language Technologies for Dravidian Languages
- Month:
- September
- Year:
- 2023
- Address:
- Varna, Bulgaria
- Editors:
- Bharathi R. Chakravarthi, Ruba Priyadharshini, Anand Kumar M, Sajeetha Thavareesan, Elizabeth Sherly
- Venues:
- DravidianLangTech | WS
- SIG:
- Publisher:
- INCOMA Ltd., Shoumen, Bulgaria
- Note:
- Pages:
- 207–210
- Language:
- URL:
- https://aclanthology.org/2023.dravidianlangtech-1.29
- DOI:
- Cite (ACL):
- Hariharan R L and Anand Kumar M. 2023. NITK-IT-NLP@DravidianLangTech: Impact of Focal Loss on Malayalam Fake News Detection using Transformers. In Proceedings of the Third Workshop on Speech and Language Technologies for Dravidian Languages, pages 207–210, Varna, Bulgaria. INCOMA Ltd., Shoumen, Bulgaria.
- Cite (Informal):
- NITK-IT-NLP@DravidianLangTech: Impact of Focal Loss on Malayalam Fake News Detection using Transformers (R L & M, DravidianLangTech-WS 2023)
- PDF:
- https://preview.aclanthology.org/nschneid-patch-3/2023.dravidianlangtech-1.29.pdf