Papers
78 papers found
JNLP at SemEval-2025 Task 11: Cross-Lingual Multi-Label Emotion Detection Using Generative Models
Jieying Xue, Phuong Minh Nguyen, Minh Le Nguyen et al.
DUT_IR at SemEval-2025 Task 11: Enhancing Multi-Label Emotion Classification with an Ensemble of Pre-trained Language Models and Large Language Models
Chao Liu, Junliang Liu, Tengxiao Lv et al.
TechSSN3 at SemEval-2025 Task 11: Multi-Label Emotion Detection Using Ensemble Transformer Models and Lexical Rules
Vishal S, Rajalakshmi Sivanaiah, Angel Deborah S
DataBees at SemEval-2025 Task 11: Challenges and Limitations in Multi-Label Emotion Detection
Sowmya Anand, Tanisha Sriram, Rajalakshmi Sivanaiah et al.
Lotus at SemEval-2025 Task 11: RoBERTa with Llama-3 Generated Explanations for Multi-Label Emotion Classification
Niloofar Ranjbar, Hamed Baghbani
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_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.
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.
Evaluating the Capabilities of Large Language Models for Multi-label Emotion Understanding
Tadesse Destaw Belay, Israel Abebe Azime, Abinew Ali Ayele et al.
SpanEmo: Casting Multi-label Emotion Classification as Span-prediction
Hassan Alhuzali, Sophia Ananiadou
Improving Multi-label Emotion Classification via Sentiment Classification with Dual Attention Transfer Network
Jianfei Yu, Luís Marujo, Jing Jiang et al.
Improving Multi-label Emotion Classification by Integrating both General and Domain-specific Knowledge
Wenhao Ying, Rong Xiang, Qin Lu
The Importance of Calibration: Rethinking Confidence and Performance of Speech Multi-label Emotion Classifiers
Huang-Cheng Chou, Lucas Goncalves, Seong-Gyun Leem et al.