Papers
369 papers found
Heimerdinger at SemEval-2025 Task 11: A Multi-Agent Framework for Perceived Emotion Detection in Multilingual Text
Zeliang Tong, Zhuojun Ding, Yingjia Li
Lotus at SemEval-2025 Task 11: RoBERTa with Llama-3 Generated Explanations for Multi-Label Emotion Classification
Niloofar Ranjbar, Hamed Baghbani
Team Unibuc - NLP at SemEval-2025 Task 11: Few-shot text-based emotion detection
Claudiu Creanga, Teodor - George Marchitan, Liviu Dinu
Angeliki Linardatou at SemEval-2025 Task 11: Multi-label Emotion Detection
Angeliki Linardatou, Paraskevi Platanou
YNWA_PZ at SemEval-2025 Task 11: Multilingual Multi-Label Emotion Classification
Mohammad Sadegh Poulaei, Mohammad Erfan Zare, Mohammad Reza Mohammadi et al.
IEGPS-CSIC at SemEval-2025 Task 11: BERT-based approach for Multi-label Emotion Detection in English and Russian texts
Albina Sarymsakova, Patricia Martin - Rodilla
MRS at SemEval-2025 Task 11: A Hybrid Approach for Bridging the Gap in Text-Based Emotion Detection
Milad Afshari, Richard Frost, Samantha Kissel et al.
Pixel Phantoms at SemEval-2025 Task 11: Enhancing Multilingual Emotion Detection with a T5 and mT5-Based Approach
Jithu Morrison S, Janani Hariharakrishnan, Harsh Pratap Singh
GT-NLP at SemEval-2025 Task 11: EmoRationale, Evidence-Based Emotion Detection via Retrieval-Augmented Generation
Daniel Saeedi, Alireza Kheirandish, Sirwe Saeedi et al.
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.