Papers
361 papers found
McGill-NLP at SemEval-2025 Task 11: Bridging the Gap in Text-Based Emotion Detection
Vivek Verma, David Ifeoluwa Adelani
NTA at SemEval-2025 Task 11: Enhanced Multilingual Textual Multi-label Emotion Detection via Integrated Augmentation Learning
Nguyen Pham Hoang Le, An Nguyen Tran Khuong, Tram Nguyen Thi Ngoc et al.
Exploration Lab IITK at SemEval-2025 Task 11: Bridging the Gap in Text-Based Emotion Detection
Tafazzul Nadeem, Riyansha Singh, Suyamoon Pathak et al.
Stanford MLab at SemEval-2025 Task 11: Track B–Emotion Intensity Detection
Joseph Le, Hannah Cui, James Zhang
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.
UB_Tel-U at SemEval-2025 Task 11: Emotions Without Borders - A Unified Framework for Multilingual Classification Using Augmentation and Ensemble
Tirana Noor Fatyanosa, Putra Pandu Adikara, Rochmanu Purnomohadi Erfitra et al.
Empaths at SemEval-2025 Task 11: Retrieval-Augmented Approach to Perceived Emotions Prediction
Lev Morozov, Aleksandr Mogilevskii, Alexander Shirnin
HausaNLP at SemEval-2025 Task 11: Advancing Hausa Text-based Emotion Detection
Sani Abdullahi Sani, Salim Abubakar, Falalu Ibrahim Lawan et al.
indiDataMiner at SemEval-2025 Task 11: From Text to Emotion: Transformer-Based Models for Emotions Detection in Indian Languages
Saurabh Kumar, Sujit Kumar, Sanasam Ranbir Singh et al.
TILeN at SemEval-2025 Task 11: A Transformer-Based Model for Sentiment Classification Applied to the Russian Language
Jorge Reyes - Magaña, Luis Basto - Díaz, Luis Fernando Curi - Quintal
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
JUNLP_Sarika at SemEval-2025 Task 11: Bridging Contextual Gaps in Text-Based Emotion Detection using Transformer Models
Sarika Khatun, Dipanjan Saha, Dipankar Das
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.
UT-NLP at SemEval-2025 Task 11: Evaluating Zero-Shot Capability of GPT-4o mini on Emotion Recognition via Role-Play and Contrastive Judging
Amirhossein Safdarian, Milad Mohammadi, Heshaam Faili
NUST Titans at SemEval-2025 Task 11: AfroEmo: Multilingual Emotion Detection with Adaptive Afro-XLM-R
Mehwish Fatima, Maham Khan, Hajra Binte Naeem et al.
QiMP at SemEval-2025 Task 11: Optimizing Text-based Emotion Classification in English Beyond Traditional Methods
Mariia Bogatyreva, Pascal Gaertner, Quim Ribas et al.
AKCIT at SemEval-2025 Task 11: Investigating Data Quality in Portuguese Emotion Recognition
Iago A. Brito, Fernanda B. Färber, Julia S. Dollis et al.
SemEval-2025 Task 11: Bridging the Gap in Text-Based Emotion Detection
Shamsuddeen Hassan Muhammad, Nedjma Ousidhoum, Idris Abdulmumin et al.
SemEval-2020 Task 11: Detection of Propaganda Techniques in News Articles
Giovanni Da San Martino, Alberto Barrón-Cedeño, Henning Wachsmuth et al.
ApplicaAI at SemEval-2020 Task 11: On RoBERTa-CRF, Span CLS and Whether Self-Training Helps Them
Dawid Jurkiewicz, Łukasz Borchmann, Izabela Kosmala et al.
Aschern at SemEval-2020 Task 11: It Takes Three to Tango: RoBERTa, CRF, and Transfer Learning
Anton Chernyavskiy, Dmitry Ilvovsky, Preslav Nakov
CyberWallE at SemEval-2020 Task 11: An Analysis of Feature Engineering for Ensemble Models for Propaganda Detection
Verena Blaschke, Maxim Korniyenko, Sam Tureski