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Papers
AKCIT at SemEval-2025 Task 11: Investigating Data Quality in Portuguese Emotion Recognition
SemEval 2025
Chinchunmei at SemEval-2025 Task 11: Boosting the Large Language Model’s Capability of Emotion Perception using Contrastive Learning
SemEval 2025
CSECU-Learners at SemEval-2025 Task 11: Multilingual Emotion Recognition and Intensity Prediction with Language-tuned Transformers and Multi-sample Dropout
SemEval 2025
IASBS at SemEval-2025 Task 11: Ensembling Transformers for Bridging the Gap in Text-Based Emotion Detection
SemEval 2025
NYCU-NLP at SemEval-2025 Task 11: Assembling Small Language Models for Multilabel Emotion Detection and Intensity Prediction
SemEval 2025
Predicting Emotion Intensity in Text Using Transformer-Based Models
SemEval 2025
Stanford MLab at SemEval-2025 Task 11: Track B–Emotion Intensity Detection
SemEval 2025
tinaal at SemEval-2025 Task 11: Enhancing Perceived Emotion Intensity Prediction with Boosting Fine-Tuned Transformers
SemEval 2025
UTBNLP at Semeval-2025 Task 11: Predicting Emotion Intensity with BERT and VAD-Informed Attention.
SemEval 2025
YNU-HPCC at SemEval-2025 Task 2: Local Cache and Online Retrieval-Based method for Entity-Aware Machine Translation
SemEval 2025
ECNU at SemEval-2018 Task 1: Emotion Intensity Prediction Using Effective Features and Machine Learning Models
SemEval 2018
How emotional are you? Neural Architectures for Emotion Intensity Prediction in Microblogs
COLING 2018