multi-label emotion detection

DataBees at SemEval-2025 Task 11: Challenges and Limitations in Multi-Label Emotion Detection SemEval 2025 EMO-NLP at SemEval-2025 Task 11: Multi-label Emotion Detection in Multiple Languages Based on XLMCNN SemEval 2025 HausaNLP at SemEval-2025 Task 11: Advancing Hausa Text-based Emotion Detection SemEval 2025 ITF-NLP at SemEval-2025 Task 11 An Exploration of English and German Multi-label Emotion Detection using Fine-tuned Transformer Models SemEval 2025 JellyK at SemEval-2025 Task 11: Russian Multi-label Emotion Detection with Pre-trained BERT-based Language Models SemEval 2025 McGill-NLP at SemEval-2025 Task 11: Bridging the Gap in Text-Based Emotion Detection SemEval 2025 NLP-DU at SemEval-2025 Task 11: Analyzing Multi-label Emotion Detection SemEval 2025 NYCU-NLP at SemEval-2025 Task 11: Assembling Small Language Models for Multilabel Emotion Detection and Intensity Prediction SemEval 2025 PromotionGo at SemEval-2025 Task 11: A Feature-Centric Framework for Cross-Lingual Multi-Emotion Detection in Short Texts SemEval 2025 Team KiAmSo at SemEval-2025 Task 11: A Comparison of Classification Models for Multi-label Emotion Detection SemEval 2025 TechSSN3 at SemEval-2025 Task 11: Multi-Label Emotion Detection Using Ensemble Transformer Models and Lexical Rules SemEval 2025 TILeN at SemEval-2025 Task 11: A Transformer-Based Model for Sentiment Classification Applied to the Russian Language SemEval 2025 Zero_Shot at SemEval-2025 Task 11: Fine-Tuning Deep Learning and Transformer-based Models for Emotion Detection in Multi-label Classification, Intensity Estimation, and Cross-lingual Adaptation SemEval 2025