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Hopeful Men@LT-EDI-EACL2021: Hope Speech Detection Using Indic Transliteration and Transformers
This paper aims to describe the approach we used to detect hope speech in the HopeEDI dataset.
Sammaan@LT-EDI-ACL2022: Ensembled Transformers Against Homophobia and Transphobia
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.
Towards Toxic Positivity Detection
Over the past few years, there has been a growing concern around toxic positivity on social media which is a phenomenon where positivity is used to minimize one’s emotional experience.
IIITH at SemEval-2021 Task 7: Leveraging transformer-based humourous and offensive text detection architectures using lexical and hurtlex features and task adaptive pretraining
This paper describes our approach (IIITH) for SemEval-2021 Task 5: HaHackathon: Detecting and Rating Humor and Offense.
Hopeful_Men@LT-EDI-EACL2021: Hope Speech Detection Using Indic Transliteration and Transformers
Our solution got a weighted F1 score of 0. 93, 0. 75 and 0. 49 for English, Malayalam and Tamil respectively.
