2024
EACL
EACL 2024
Overview of Third Shared Task on Homophobia and Transphobia Detection in Social Media Comments
Abstract
AbstractThis 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.
🌉
Interdisciplinary Bridge
— Interdisciplinary and Machine Learning and Natural Language Processing
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Cross-Pollinator
— Artificial Intelligence, Computer Science, Computer Vision, Data Science & Analytics, Deep Learning, Healthcare & Medicine, Interdisciplinary, Knowledge & Reasoning, Machine Learning, Mathematics & Optimization, Natural Language Processing, Reinforcement Learning, Security & Privacy, Speech & Audio
Authors
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
,
Daniel García-Baena