@inproceedings{chakravarthi-etal-2022-overview,
title = "Overview of The Shared Task on Homophobia and Transphobia Detection in Social Media Comments",
author = "Chakravarthi, Bharathi Raja and
Priyadharshini, Ruba and
Durairaj, Thenmozhi and
McCrae, John and
Buitelaar, Paul and
Kumaresan, Prasanna and
Ponnusamy, Rahul",
editor = "Chakravarthi, Bharathi Raja and
Bharathi, B and
McCrae, John P and
Zarrouk, Manel and
Bali, Kalika and
Buitelaar, Paul",
booktitle = "Proceedings of the Second Workshop on Language Technology for Equality, Diversity and Inclusion",
month = may,
year = "2022",
address = "Dublin, Ireland",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2022.ltedi-1.57",
doi = "10.18653/v1/2022.ltedi-1.57",
pages = "369--377",
abstract = "Homophobia and Transphobia Detection is the task of identifying homophobia, transphobia, and non-anti-LGBT+ content from the given corpus. Homophobia and transphobia are both toxic languages directed at LGBTQ+ individuals that are described as hate speech. This paper summarizes our findings on the {``}Homophobia and Transphobia Detection in social media comments{''} shared task held at LT-EDI 2022 - ACL 2022 1. This shared taskfocused on three sub-tasks for Tamil, English, and Tamil-English (code-mixed) languages. It received 10 systems for Tamil, 13 systems for English, and 11 systems for Tamil-English. The best systems for Tamil, English, and Tamil-English scored 0.570, 0.870, and 0.610, respectively, on average macro F1-score.",
}
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<abstract>Homophobia and Transphobia Detection is the task of identifying homophobia, transphobia, and non-anti-LGBT+ content from the given corpus. Homophobia and transphobia are both toxic languages directed at LGBTQ+ individuals that are described as hate speech. This paper summarizes our findings on the “Homophobia and Transphobia Detection in social media comments” shared task held at LT-EDI 2022 - ACL 2022 1. This shared taskfocused on three sub-tasks for Tamil, English, and Tamil-English (code-mixed) languages. It received 10 systems for Tamil, 13 systems for English, and 11 systems for Tamil-English. The best systems for Tamil, English, and Tamil-English scored 0.570, 0.870, and 0.610, respectively, on average macro F1-score.</abstract>
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%0 Conference Proceedings
%T Overview of The Shared Task on Homophobia and Transphobia Detection in Social Media Comments
%A Chakravarthi, Bharathi Raja
%A Priyadharshini, Ruba
%A Durairaj, Thenmozhi
%A McCrae, John
%A Buitelaar, Paul
%A Kumaresan, Prasanna
%A Ponnusamy, Rahul
%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 chakravarthi-etal-2022-overview
%X Homophobia and Transphobia Detection is the task of identifying homophobia, transphobia, and non-anti-LGBT+ content from the given corpus. Homophobia and transphobia are both toxic languages directed at LGBTQ+ individuals that are described as hate speech. This paper summarizes our findings on the “Homophobia and Transphobia Detection in social media comments” shared task held at LT-EDI 2022 - ACL 2022 1. This shared taskfocused on three sub-tasks for Tamil, English, and Tamil-English (code-mixed) languages. It received 10 systems for Tamil, 13 systems for English, and 11 systems for Tamil-English. The best systems for Tamil, English, and Tamil-English scored 0.570, 0.870, and 0.610, respectively, on average macro F1-score.
%R 10.18653/v1/2022.ltedi-1.57
%U https://aclanthology.org/2022.ltedi-1.57
%U https://doi.org/10.18653/v1/2022.ltedi-1.57
%P 369-377
Markdown (Informal)
[Overview of The Shared Task on Homophobia and Transphobia Detection in Social Media Comments](https://aclanthology.org/2022.ltedi-1.57) (Chakravarthi et al., LTEDI 2022)
ACL
- Bharathi Raja Chakravarthi, Ruba Priyadharshini, Thenmozhi Durairaj, John McCrae, Paul Buitelaar, Prasanna Kumaresan, and Rahul Ponnusamy. 2022. Overview of The Shared Task on Homophobia and Transphobia Detection in Social Media Comments. In Proceedings of the Second Workshop on Language Technology for Equality, Diversity and Inclusion, pages 369–377, Dublin, Ireland. Association for Computational Linguistics.