Papers
43 papers found
DataBees at SemEval-2025 Task 11: Challenges and Limitations in Multi-Label Emotion Detection
Sowmya Anand, Tanisha Sriram, Rajalakshmi Sivanaiah et al.
Angeliki Linardatou at SemEval-2025 Task 11: Multi-label Emotion Detection
Angeliki Linardatou, Paraskevi Platanou
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
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
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.
NLP-DU at SemEval-2025 Task 11: Analyzing Multi-label Emotion Detection
Sadman Sakib, Ahaj Faiak, Abdullah Ibne Hanif Arean et al.
Amado at SemEval-2025 Task 11: Multi-label Emotion Detection in Amharic and English Data
Girma Yohannis Bade, Olga Kolesnikova, José Luis Oropeza et al.
SyntaxMind at SemEval-2025 Task 11: BERT Base Multi-label Emotion Detection Using Gated Recurrent Unit
Md. Shihab Uddin Riad, Mohammad Aman Ullah
Team KiAmSo at SemEval-2025 Task 11: A Comparison of Classification Models for Multi-label Emotion Detection
Kimberly Sharp, Sofia Kathmann, Amelie Rüeck
JellyK at SemEval-2025 Task 11: Russian Multi-label Emotion Detection with Pre-trained BERT-based Language Models
Khoa Anh-Nguyen Le, Dang Van Thin
University of Indonesia at SemEval-2025 Task 11: Evaluating State-of-the-Art Encoders for Multi-Label Emotion Detection
Ikhlasul Akmal Hanif, Eryawan Presma Yulianrifat, Jaycent Gunawan Ongris et al.
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
Ashraful Islam Paran, Sabik Aftahee, Md. Refaj Hossan et al.
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
Ashraful Islam Paran, Sabik Aftahee, Md. Refaj Hossan 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.
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.