Papers
369 papers found
STFXNLP at SemEval-2025 Task 11 Track A: Neural Network, Schema, and Next Word Prediction-based Approaches to Perceived Emotion Detection
Noah Murrant, Samantha Brooks, Milton King
LATE-GIL-NLP at SemEval-2025 Task 11: Multi-Language Emotion Detection and Intensity Classification Using Transformer Models with Optimized Loss Functions for Imbalanced Data
Jesús V á z q u e z - O s o r i o, Helena Gómez - Adorno, Gerardo Sierra et al.
IASBS at SemEval-2025 Task 11: Ensembling Transformers for Bridging the Gap in Text-Based Emotion Detection
Mehrzad Tareh, Erfan Mohammadzadeh, Aydin Mohandesi et al.
Lazarus NLP at SemEval-2025 Task 11: Fine-Tuning Large Language Models for Multi-Label Emotion Classification via Sentence-Label Pairing
Wilson Wongso, David Setiawan, Ananto Joyoadikusumo et al.
RSSN at SemEval-2025 Task 11: Optimizing Multi-Label Emotion Detection with Transformer-Based Models and Threshold Tuning
Ravindran V, Rajalakshmi Sivanaiah, Angel Deborah S
EMO-NLP at SemEval-2025 Task 11: Multi-label Emotion Detection in Multiple Languages Based on XLMCNN
Jing Li, Yucheng Xian, Xutao Yang
Tue-JMS at SemEval-2025 Task 11: KReLax: An Ensemble-Based Approach for Multilingual Emotion Detection and Addressing Data Imbalance
Jingyu Han, Megan Horikawa, Suvi Lehtosalo
Trans-Sent at SemEval-2025 Task 11: Text-based Multi-label Emotion Detection using Pre-Trained BERT Transformer Models
Zafar Sarif, Md Sharib Akhtar, Abhishek Das et al.
QMUL at SemEval-2025 Task 11: Explicit Emotion Detection with EmoLex, Feature Engineering, and Threshold-Optimized Multi-Label Classification
Angeline Wang, Aditya Gupta, Iran Roman et al.
Emotion Train at SemEval-2025 Task 11: Comparing Generative and Discriminative Models in Emotion Recognition
Anastasiia Demidova, Injy Hamed, Teresa Lynn et al.
NLP_goats at SemEval-2025 Task 11: Multi-Label Emotion Classification Using Fine-Tuned Roberta-Large Tranformer
Vijay Karthick Vaidyanathan, Srihari V K, Mugilkrishna D U et al.
NITK-VITAL at SemEval-2025 Task 11: Focal-RoBERTa: Addressing Class Imbalance in Multi-Label Emotion Classification
Ashinee Kesanam, Gummuluri Venkata Ravi Ram, Chaithanya Swaroop Banoth et al.
CharsiuRice at SemEval-2025 Task 11: Bridging the Gap in Text-Based Emotion Detection
Hiu Yan Yip, Hing Man Chiu, Hai - Yin Yang
Dianchi at SemEval-2025 Task 11: Multilabel Emotion Recognition via Orthogonal Knowledge Distillation
Zhenlan Wang, Jiaxuan Liu
zhouyijiang1 at SemEval-2025 Task 11: A Multi-tag Detection Method based on Pre-training Language Models
Zhou Jiang, Dengtao Zhang
NYCU-NLP at SemEval-2025 Task 11: Assembling Small Language Models for Multilabel Emotion Detection and Intensity Prediction
Zhe - Yu Xu, Yu - Hsin Wu, Lung - Hao Lee
PAI at SemEval-2025 Task 11: A Large Language Model Ensemble Strategy for Text-Based Emotion Detection
Zhihao Ruan, Runyang You, Kaifeng Yang et al.
Zero at SemEval-2025 Task 11: Multilingual Emotion Classification with BERT Variants: A Comparative Study
Revanth Gundam, Abhinav Marri, Radhika Mamidi
VerbaNexAI at SemEval-2025 Task 11 Track A: A RoBERTa-Based Approach for the Classification of Emotions in Text
Danileth Almanza Gonzalez, Edwin Puertas, Juan Carlos Martinez-Santos
UTBNLP at Semeval-2025 Task 11: Predicting Emotion Intensity with BERT and VAD-Informed Attention.
Melissa Moreno Novoa, Edwin Puertas, Juan Carlos Martinez-Santos
OPI-DRO-HEL at at SemEval-2025 Task 11: Few-shot prompting for Text-based Emotion Recognition
Daniel Karaś, Martyna Śpiewak