The task demands to predict the perceived emotion(s) of the speaker and label each text snippet based on the presence (1) or absence (0) of the following emotions: joy, sadness, fear, anger, surprise, and disgust.
Publication
Shamsuddeen Hassan Muhammad, Nedjma Ousidhoum, Idris Abdulmumin, Seid Muhie Yimam, Jan Philip Wahle, Terry Lima Ruas, Meriem Beloucif, Christine De Kock, Tadesse Destaw Belay, Ibrahim Said Ahmad, Nirmal Surange, Daniela Teodorescu, David Ifeoluwa Adelani, Alham Fikri Aji, Felermino Dario Mario Ali, Vladimir Araujo, Abinew Ali Ayele, Oana Ignat, Alexander Panchenko, Yi Zhou, and Saif Mohammad. 2025. SemEval-2025 Task 11: Bridging the Gap in Text-Based Emotion Detection. In Proceedings of the 19th International Workshop on Semantic Evaluation (SemEval-2025), pages 2558–2569, Vienna, Austria. Association for Computational Linguistics.
Language
Spanish
English
NLP topic
Dataset
Year
2025
Publication link
Task results
| System | MacroF1 Sort ascending |
|---|---|
| pai | 0.8490 |
| heimerdinger | 0.8380 |
