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            <namePart type="given">Bharathi</namePart>
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    <abstract>This paper describes team giniUs’ submission to the Hope Speech Detection for Equality, Diversity and Inclusion Shared Task organised by LT-EDI ACL 2022. We have fine-tuned the Roberta-large pre-trained model and extracted the last four decoder layers to build a classifier. Our best result on the leaderboard achieve a weighted F1 score of 0.86 and a Macro F1 score of 0.51 for English. We have secured a rank of 4 for the English task. We have open-sourced our code implementations on GitHub to facilitate easy reproducibility by the scientific community.</abstract>
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%0 Conference Proceedings
%T giniUs @LT-EDI-ACL2022: Aasha: Transformers based Hope-EDI
%A Chinagundi, Basavraj
%A Surana, Harshul
%Y Chakravarthi, Bharathi Raja
%Y Bharathi, B.
%Y McCrae, John P.
%Y Zarrouk, Manel
%Y Bali, Kalika
%Y Buitelaar, Paul
%S Proceedings of the Second Workshop on Language Technology for Equality, Diversity and Inclusion
%D 2022
%8 May
%I Association for Computational Linguistics
%C Dublin, Ireland
%F surana-chinagundi-2022-ginius
%X This paper describes team giniUs’ submission to the Hope Speech Detection for Equality, Diversity and Inclusion Shared Task organised by LT-EDI ACL 2022. We have fine-tuned the Roberta-large pre-trained model and extracted the last four decoder layers to build a classifier. Our best result on the leaderboard achieve a weighted F1 score of 0.86 and a Macro F1 score of 0.51 for English. We have secured a rank of 4 for the English task. We have open-sourced our code implementations on GitHub to facilitate easy reproducibility by the scientific community.
%R 10.18653/v1/2022.ltedi-1.43
%U https://aclanthology.org/2022.ltedi-1.43
%U https://doi.org/10.18653/v1/2022.ltedi-1.43
%P 291-295

Markdown (Informal)

[giniUs @LT-EDI-ACL2022: Aasha: Transformers based Hope-EDI](https://aclanthology.org/2022.ltedi-1.43) (Chinagundi & Surana, LTEDI 2022)

• giniUs @LT-EDI-ACL2022: Aasha: Transformers based Hope-EDI (Chinagundi & Surana, LTEDI 2022)

ACL

• Basavraj Chinagundi and Harshul Surana. 2022. giniUs @LT-EDI-ACL2022: Aasha: Transformers based Hope-EDI. In Proceedings of the Second Workshop on Language Technology for Equality, Diversity and Inclusion, pages 291–295, Dublin, Ireland. Association for Computational Linguistics.