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2021 EACL EACL 2021

IIITK@LT-EDI-EACL2021: Hope Speech Detection for Equality, Diversity, and Inclusion in Tamil , Malayalam and English

Abstract

AbstractThis 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.

🌉 Interdisciplinary Bridge — Machine Learning and Natural Language Processing
🐝 Cross-Pollinator — Artificial Intelligence, Computer Science, Computer Vision, Data Science & Analytics, Deep Learning, Healthcare & Medicine, Interdisciplinary, Knowledge & Reasoning, Machine Learning, Mathematics & Optimization, Natural Language Processing, Reinforcement Learning, Security & Privacy, Speech & Audio

Authors

Nikhil Ghanghor , Rahul Ponnusamy , Prasanna Kumar Kumaresan , Ruba Priyadharshini , Sajeetha Thavareesan , Bharathi Raja Chakravarthi

Topics

Natural Language Processing > Applications > Text Classification Natural Language Processing > Resources & Methods > Multilingual NLP Machine Learning > Learning Types > Multi-Label Classification

Keywords

sentiment analysis text classification multilingual nlp hope speech detection dravidian language
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