Nikhil Ghanghor
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2021
IIITK@DravidianLangTech-EACL2021: Offensive Language Identification and Meme Classification in Tamil, Malayalam and Kannada
Nikhil Ghanghor
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Parameswari Krishnamurthy
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Sajeetha Thavareesan
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Ruba Priyadharshini
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Bharathi Raja Chakravarthi
Proceedings of the First Workshop on Speech and Language Technologies for Dravidian Languages
This paper describes the IIITK team’s submissions to the offensive language identification, and troll memes classification shared tasks for Dravidian languages at DravidianLangTech 2021 workshop@EACL 2021. Our best configuration for Tamil troll meme classification achieved 0.55 weighted average F1 score, and for offensive language identification, our system achieved weighted F1 scores of 0.75 for Tamil, 0.95 for Malayalam, and 0.71 for Kannada. Our rank on Tamil troll meme classification is 2, and offensive language identification in Tamil, Malayalam and Kannada are 3, 3 and 4 respectively.
IIITK@LT-EDI-EACL2021: Hope Speech Detection for Equality, Diversity, and Inclusion in Tamil , Malayalam and English
Nikhil Ghanghor
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Rahul Ponnusamy
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Prasanna Kumar Kumaresan
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Ruba Priyadharshini
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Sajeetha Thavareesan
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Bharathi Raja Chakravarthi
Proceedings of the First Workshop on Language Technology for Equality, Diversity and Inclusion
This paper describes the IIITK’s team submissions to the hope speech detection for equality, diversity and inclusion in Dravidian languages shared task organized by LT-EDI 2021 workshop@EACL 2021. Our best configurations for the shared tasks achieve weighted F1 scores of 0.60 for Tamil, 0.83 for Malayalam, and 0.93 for English. We have secured ranks of 4, 3, 2 in Tamil, Malayalam and English respectively.