@inproceedings{puranik-etal-2021-iiitt,
title = "{IIITT}@{LT}-{EDI}-{EACL}2021-Hope Speech Detection: There is always hope in Transformers",
author = "Puranik, Karthik and
Hande, Adeep and
Priyadharshini, Ruba and
Thavareesan, Sajeetha and
Chakravarthi, Bharathi Raja",
editor = "Chakravarthi, Bharathi Raja and
McCrae, John P. and
Zarrouk, Manel and
Bali, Kalika and
Buitelaar, Paul",
booktitle = "Proceedings of the First Workshop on Language Technology for Equality, Diversity and Inclusion",
month = apr,
year = "2021",
address = "Kyiv",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2021.ltedi-1.13/",
pages = "98--106",
abstract = "In a world with serious challenges like climate change, religious and political conflicts, global pandemics, terrorism, and racial discrimination, an internet full of hate speech, abusive and offensive content is the last thing we desire for. In this paper, we work to identify and promote positive and supportive content on these platforms. We work with several transformer-based models to classify social media comments as hope speech or not hope speech in English, Malayalam, and Tamil languages. This paper portrays our work for the Shared Task on Hope Speech Detection for Equality, Diversity, and Inclusion at LT-EDI 2021- EACL 2021. The codes for our best submission can be viewed."
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%0 Conference Proceedings
%T IIITT@LT-EDI-EACL2021-Hope Speech Detection: There is always hope in Transformers
%A Puranik, Karthik
%A Hande, Adeep
%A Priyadharshini, Ruba
%A Thavareesan, Sajeetha
%A Chakravarthi, Bharathi Raja
%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 puranik-etal-2021-iiitt
%X In a world with serious challenges like climate change, religious and political conflicts, global pandemics, terrorism, and racial discrimination, an internet full of hate speech, abusive and offensive content is the last thing we desire for. In this paper, we work to identify and promote positive and supportive content on these platforms. We work with several transformer-based models to classify social media comments as hope speech or not hope speech in English, Malayalam, and Tamil languages. This paper portrays our work for the Shared Task on Hope Speech Detection for Equality, Diversity, and Inclusion at LT-EDI 2021- EACL 2021. The codes for our best submission can be viewed.
%U https://aclanthology.org/2021.ltedi-1.13/
%P 98-106
Markdown (Informal)
[IIITT@LT-EDI-EACL2021-Hope Speech Detection: There is always hope in Transformers](https://aclanthology.org/2021.ltedi-1.13/) (Puranik et al., LTEDI 2021)
ACL