About this document
Cross-Lingual Emotion Detection Models by tolinh.tran91 is a document available to read on EtoBox.
The document presents a study on cross-lingual multi-label emotion detection for SemEval-2025 Task 11, focusing on two sub-tracks: multi-label emotion detection and emotion intensity. The authors utilize pre-trained multilingual models and propose two methods for multi-label classification, achieving strong performance across multiple languages, including first place in Hindi for Track A. Their approach demonstrates the effectiveness of leveraging large language models and fine-tuning techniques to address
- Author
- tolinh.tran91
- Language
- EN