We’re excited to share that our work on multilingual resources has won two major awards at ACL 2025:
Best Resource Paper and Best SemEval Task!
This project was the most popular task ever hosted on Codabench, with over 700 participants, 3,600 submissions, and nearly 100 system papers. The task spanned 30+ languages across seven language families, spotlighting emotion classification, intensity scoring, and cross-lingual transfer, all with a strong focus on low-resource languages from regions like Africa, Asia, Latin America, and Eastern Europe.
This effort was through collaboration with researchers and annotators from around the world, including teams from Cardiff University, Imperial College London, MBZUAI, NRC Canada, and many more.
Paper: BRIGHTER: Bridging the Gap in Human-Annotated Textual Emotion Recognition Datasets for 28 Languages
https://aclanthology.org/2025.acl-long.436/
Project Page: https://brighter-dataset.github.io/