@inproceedings{chakravarthi-etal-2024-overview,
title = "Overview of Third Shared Task on Homophobia and Transphobia Detection in Social Media Comments",
author = "Chakravarthi, Bharathi Raja and
Kumaresan, Prasanna Kumar and
Priyadharshini, Ruba and
Buitelaar, Paul and
Hegde, Asha and
Shashirekha, Hosahalli Lakshmaiah and
Rajiakodi, Saranya and
Garc{\'i}a-Cumbreras, Miguel {\'A}ngel and
Jim{\'e}nez-Zafra, Salud Mar{\'i}a and
Garc{\'i}a-D{\'i}az, Jos{\'e} Antonio and
Valencia-Garc{\'i}a, Rafael and
Ponnusamy, Kishore Kumar and
Shetty, Poorvi and
Garc{\'i}a-Baena, Daniel",
editor = {Chakravarthi, Bharathi Raja and
B, Bharathi and
Buitelaar, Paul and
Durairaj, Thenmozhi and
Kov{\'a}cs, Gy{\"o}rgy and
Garc{\'i}a Cumbreras, Miguel {\'A}ngel},
booktitle = "Proceedings of the Fourth Workshop on Language Technology for Equality, Diversity, Inclusion",
month = mar,
year = "2024",
address = "St. Julian's, Malta",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2024.ltedi-1.11/",
doi = "10.18653/v1/2024.ltedi-1.11",
pages = "124--132",
abstract = "This paper provides a comprehensive summary of the ``Homophobia and Transphobia Detection in Social Media Comments'' shared task, which was held at the LT-EDI@EACL 2024. The objective of this task was to develop systems capable of identifying instances of homophobia and transphobia within social media comments. This challenge was extended across ten languages: English, Tamil, Malayalam, Telugu, Kannada, Gujarati, Hindi, Marathi, Spanish, and Tulu. Each comment in the dataset was annotated into three categories. The shared task attracted significant interest, with over 60 teams participating through the CodaLab platform. The submission of prediction from the participants was evaluated with the macro F1 score."
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<abstract>This paper provides a comprehensive summary of the “Homophobia and Transphobia Detection in Social Media Comments” shared task, which was held at the LT-EDI@EACL 2024. The objective of this task was to develop systems capable of identifying instances of homophobia and transphobia within social media comments. This challenge was extended across ten languages: English, Tamil, Malayalam, Telugu, Kannada, Gujarati, Hindi, Marathi, Spanish, and Tulu. Each comment in the dataset was annotated into three categories. The shared task attracted significant interest, with over 60 teams participating through the CodaLab platform. The submission of prediction from the participants was evaluated with the macro F1 score.</abstract>
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%0 Conference Proceedings
%T Overview of Third Shared Task on Homophobia and Transphobia Detection in Social Media Comments
%A Chakravarthi, Bharathi Raja
%A Kumaresan, Prasanna Kumar
%A Priyadharshini, Ruba
%A Buitelaar, Paul
%A Hegde, Asha
%A Shashirekha, Hosahalli Lakshmaiah
%A Rajiakodi, Saranya
%A García-Cumbreras, Miguel Ángel
%A Jiménez-Zafra, Salud María
%A García-Díaz, José Antonio
%A Valencia-García, Rafael
%A Ponnusamy, Kishore Kumar
%A Shetty, Poorvi
%A García-Baena, Daniel
%Y Chakravarthi, Bharathi Raja
%Y B, Bharathi
%Y Buitelaar, Paul
%Y Durairaj, Thenmozhi
%Y Kovács, György
%Y García Cumbreras, Miguel Ángel
%S Proceedings of the Fourth Workshop on Language Technology for Equality, Diversity, Inclusion
%D 2024
%8 March
%I Association for Computational Linguistics
%C St. Julian’s, Malta
%F chakravarthi-etal-2024-overview
%X This paper provides a comprehensive summary of the “Homophobia and Transphobia Detection in Social Media Comments” shared task, which was held at the LT-EDI@EACL 2024. The objective of this task was to develop systems capable of identifying instances of homophobia and transphobia within social media comments. This challenge was extended across ten languages: English, Tamil, Malayalam, Telugu, Kannada, Gujarati, Hindi, Marathi, Spanish, and Tulu. Each comment in the dataset was annotated into three categories. The shared task attracted significant interest, with over 60 teams participating through the CodaLab platform. The submission of prediction from the participants was evaluated with the macro F1 score.
%R 10.18653/v1/2024.ltedi-1.11
%U https://aclanthology.org/2024.ltedi-1.11/
%U https://doi.org/10.18653/v1/2024.ltedi-1.11
%P 124-132
Markdown (Informal)
[Overview of Third Shared Task on Homophobia and Transphobia Detection in Social Media Comments](https://aclanthology.org/2024.ltedi-1.11/) (Chakravarthi et al., LTEDI 2024)
ACL
- Bharathi Raja Chakravarthi, Prasanna Kumar Kumaresan, Ruba Priyadharshini, Paul Buitelaar, Asha Hegde, Hosahalli Lakshmaiah Shashirekha, Saranya Rajiakodi, Miguel Ángel García-Cumbreras, Salud María Jiménez-Zafra, José Antonio García-Díaz, Rafael Valencia-García, Kishore Kumar Ponnusamy, Poorvi Shetty, and Daniel García-Baena. 2024. Overview of Third Shared Task on Homophobia and Transphobia Detection in Social Media Comments. In Proceedings of the Fourth Workshop on Language Technology for Equality, Diversity, Inclusion, pages 124–132, St. Julian's, Malta. Association for Computational Linguistics.