Dear Colleagues,
We invite you to participate in SemEval-2025 Task 11: Bridging the Gap in Text-Based Emotion Detection. This shared task focuses on perceived emotions and aims to predict what emotion most people think a speaker may be feeling, based on a given sentence or short text snippet.
The task is divided into three tracks:
We include a large number of languages with many predominantly spoken in regions characterised by a relatively limited availability of NLP resources (e.g., Africa, Asia, Eastern Europe and Latin America):
Afrikaans (afr), Algerian Arabic (arq), Amharic (amh), Portuguese (Brazilian) (ptbr), Chinese (zho), Emakhuwa (vmw), English (eng), German (deu), Hausa (hau), Hindi (hin), Igbo (ibo), Indonesian (ind), isiXhosa (xho), isiZulu (zul), Javanese (jav), Kinyarwanda (kin), Spanish (Latin American) (esp), Marathi (mar), Moroccan Arabic (ary), Portuguese (Mozambican) (pt-MZ), Nigerian-Pidgin (pcm), Oromo (orm), Romanian (ron), Russian (rus), Somali (som), Sundanese (sun), Swahili (swa), Swedish (swe), Tatar (tat), Tigrinya (tir), Ukrainian (ukr), Yoruba (yor).
We look forward to your participation!
Best regards,
The SemEval-2025 Task 11 Organizers
Shamsuddeen Muhammad, PhD (he/him)
Advanced Research Fellow
Department of Computing
Imperial College London
South Kensington
Huxley Building, Room 452