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        <title>Amrita@LT-EDI-EACL2021: Hope Speech Detection on Multilingual Text</title>
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        <namePart type="given">Thara</namePart>
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            <title>Proceedings of the First Workshop on Language Technology for Equality, Diversity and Inclusion</title>
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            <namePart type="given">Bharathi</namePart>
            <namePart type="given">Raja</namePart>
            <namePart type="family">Chakravarthi</namePart>
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            <namePart type="given">Kalika</namePart>
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    <abstract>Analysis and deciphering code-mixed data is imperative in academia and industry, in a multilingual country like India, in order to solve problems apropos Natural Language Processing. This paper proposes a bidirectional long short-term memory (BiLSTM) with the attention-based approach, in solving the hope speech detection problem. Using this approach an F1-score of 0.73 (9thrank) in the Malayalam-English data set was achieved from a total of 31 teams who participated in the competition.</abstract>
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%0 Conference Proceedings
%T Amrita@LT-EDI-EACL2021: Hope Speech Detection on Multilingual Text
%A S, Thara
%A Tasubilli, Ravi teja
%A Sai rahul, Kothamasu
%Y Chakravarthi, Bharathi Raja
%Y McCrae, John P.
%Y Zarrouk, Manel
%Y Bali, Kalika
%Y Buitelaar, Paul
%S Proceedings of the First Workshop on Language Technology for Equality, Diversity and Inclusion
%D 2021
%8 April
%I Association for Computational Linguistics
%C Kyiv
%F s-etal-2021-amrita
%X Analysis and deciphering code-mixed data is imperative in academia and industry, in a multilingual country like India, in order to solve problems apropos Natural Language Processing. This paper proposes a bidirectional long short-term memory (BiLSTM) with the attention-based approach, in solving the hope speech detection problem. Using this approach an F1-score of 0.73 (9thrank) in the Malayalam-English data set was achieved from a total of 31 teams who participated in the competition.
%U https://aclanthology.org/2021.ltedi-1.22
%P 149-156

Markdown (Informal)

[Amrita@LT-EDI-EACL2021: Hope Speech Detection on Multilingual Text](https://aclanthology.org/2021.ltedi-1.22) (S et al., LTEDI 2021)

• Amrita@LT-EDI-EACL2021: Hope Speech Detection on Multilingual Text (S et al., LTEDI 2021)

ACL

• Thara S, Ravi teja Tasubilli, and Kothamasu Sai rahul. 2021. Amrita@LT-EDI-EACL2021: Hope Speech Detection on Multilingual Text. In Proceedings of the First Workshop on Language Technology for Equality, Diversity and Inclusion, pages 149–156, Kyiv. Association for Computational Linguistics.