Papers
361 papers found
MIND at SemEval-2023 Task 11: From Uncertain Predictions to Subjective Disagreement
Giulia Rizzi, Alessandro Astorino, Daniel Scalena et al.
University at Buffalo at SemEval-2023 Task 11: MASDA–Modelling Annotator Sensibilities through DisAggregation
Michael Sullivan, Mohammed Yasin, Cassandra L. Jacobs
CICL_DMS at SemEval-2023 Task 11: Learning With Disagreements (Le-Wi-Di)
Dennis Grötzinger, Simon Heuschkel, Matthias Drews
UMUTeam at SemEval-2023 Task 11: Ensemble Learning applied to Binary Supervised Classifiers with disagreements
José Antonio García-Díaz, Ronghao Pan, Gema Alcaráz-Mármol et al.
Lon-eå at SemEval-2023 Task 11: A Comparison of Activation Functions for Soft and Hard Label Prediction
Peyman Hosseini, Mehran Hosseini, Sana Al-azzawi et al.
iLab at SemEval-2023 Task 11 Le-Wi-Di: Modelling Disagreement or Modelling Perspectives?
Nikolas Vitsakis, Amit Parekh, Tanvi Dinkar et al.
Arguably at SemEval-2023 Task 11: Learning the disagreements using unsupervised behavioral clustering and language models
Guneet Singh Kohli, Vinayak Tiwari
SemEval-2023 Task 11: Learning with Disagreements (LeWiDi)
Elisa Leonardelli, Gavin Abercrombie, Dina Almanea et al.
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.
AtlasIA at SemEval-2025 Task 11: FastText-Based Emotion Detection in Moroccan Arabic for Low-Resource Settings
Abdeljalil El Majjodi, Imane Momayiz, Nouamane Tazi
Domain_adaptation at SemEval-2025 Task 11: Adversarial Domain Adaptation for Text-based Emotion Recognition
Mikhail Lepekhin, Serge Sharoff
Team A at SemEval-2025 Task 11: Breaking Language Barriers in Emotion Detection with Multilingual Models
P Sam Sahil, Anupam Jamatia
YNU-HPCC at SemEval-2025 Task 11: Bridging the Gap in Text-Based Emotion Using Multiple Prediction Headers
Hao Yang, Jin Wang, Xuejie Zhang
TeleAI at SemEval-2025 Task 11: Bridging the Gap in Text-Based Emotion Detection with Prompt Engineering and Data Augmentation
Shiquan Wang, Mengxiang Li, Shengxiong Peng et al.
OZemi at SemEval-2025 Task 11: Multilingual Emotion Detection and Intensity
Hidetsune Takahashi, Sumiko Teng, Jina Lee 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
CIOL at SemEval-2025 Task 11: Multilingual Pre-trained Model Fusion for Text-based Emotion Recognition
Md. Hoque, Mahfuz Ahmed Anik, Abdur Rahman et al.
DataBees at SemEval-2025 Task 11: Challenges and Limitations in Multi-Label Emotion Detection
Sowmya Anand, Tanisha Sriram, Rajalakshmi Sivanaiah et al.
tinaal at SemEval-2025 Task 11: Enhancing Perceived Emotion Intensity Prediction with Boosting Fine-Tuned Transformers
Ting Zhu, Liting Huang, Huizhi Liang
XLM-Muriel at SemEval-2025 Task 11: Hard Parameter Sharing for Multi-lingual Multi-label Emotion Detection
Pouya Hosseinzadeh, Mohammad Mehdi Ebadzadeh, Hossein Zeinali
Chinchunmei at SemEval-2025 Task 11: Boosting the Large Language Model’s Capability of Emotion Perception using Contrastive Learning
Tian Li, Yujian Sun, Huizhi Liang