Abstract
Hateful and offensive content on social media platforms can have negative effects on users and can make online communities more hostile towards certain people and hamper equality, diversity and inclusion. In this paper, we describe our approach to classify homophobia and transphobia in social media comments. We used an ensemble of transformer based models to build our classifier. Our model ranked 2nd for English, 8th for Tamil and 10th for Tamil-English.
Cite
CITATION STYLE
Upadhyay, I. S., Srivatsa, K. V. A., & Mamidi, R. (2022). Sammaan@LT-EDI-ACL2022: Ensembled Transformers Against Homophobia and Transphobia. In LTEDI 2022 - 2nd Workshop on Language Technology for Equality, Diversity and Inclusion, Proceedings of the Workshop (pp. 270–275). Association for Computational Linguistics (ACL). https://doi.org/10.18653/v1/2022.ltedi-1.39
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