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Multi-Label Classification

401 directly classified papers

Papers per year

Papers

Learning under Noisy Labels Spurious Points and Diverse Structures: TS40K a 3D Point Cloud Dataset of Rural Terrain and Electrical Transmission Systems WACV 2025
Is a bunch of words enough to detect disagreement in hateful content? COLING 2025
YNU-HPCC at SemEval-2025 Task 6: Using BERT Model with R-drop for Promise Verification SEMEVAL 2025
A Two-Head Loss Function for Deep Average-K Classification WACV 2025
Natural Language Understanding of Devanagari Script Languages: Language Identification, Hate Speech and its Target Detection COLING 2025
CUET_INSights@NLU of Devanagari Script Languages 2025: Leveraging Transformer-based Models for Target Identification in Hate Speech COLING 2025
EMO-NLP at SemEval-2025 Task 11: Multi-label Emotion Detection in Multiple Languages Based on XLMCNN SEMEVAL 2025
DUTIR831 at SemEval-2025 Task 5: A Multi-Stage LLM Approach to GND Subject Assignment for TIBKAT Records SEMEVAL 2025
PATeam at SemEval-2025 Task 10: Two-stage News Analytical Framework: Target-oriented Semantic Segmentation and Sequence Generation LLMs for Cross-Lingual Entity and Narrative Analysis SEMEVAL 2025
Systematic Evaluation of Machine Learning and Transformer-Based Methods for Scientific Telescope Literature Classification IJCNLP 2025
Exploration Lab IITK at SemEval-2025 Task 11: Bridging the Gap in Text-Based Emotion Detection SEMEVAL 2025
RSSN at SemEval-2025 Task 11: Optimizing Multi-Label Emotion Detection with Transformer-Based Models and Threshold Tuning SEMEVAL 2025
Empowering Persuasion Detection in Slavic Texts through Two-Stage Generative Reasoning ACL 2025
QMUL at SemEval-2025 Task 11: Explicit Emotion Detection with EmoLex, Feature Engineering, and Threshold-Optimized Multi-Label Classification SEMEVAL 2025
Team INSAntive at SlavicNLP-2025 Shared Task: Data Augmentation and Enhancement via Explanations for Persuasion Technique Classification ACL 2025
Pixel Phantoms at SemEval-2025 Task 11: Enhancing Multilingual Emotion Detection with a T5 and mT5-Based Approach SEMEVAL 2025
Can Large Language Models Serve as Effective Classifiers for Hierarchical Multi-Label Classification of Scientific Documents at Industrial Scale? COLING 2025
YNU-HPCC at SemEval-2025 Task 11: Bridging the Gap in Text-Based Emotion Using Multiple Prediction Headers SEMEVAL 2025
gowithnlp at SemEval-2025 Task 10: Leveraging Entity-Centric Chain of Thought and Iterative Prompt Refinement for Multi-Label Classification SEMEVAL 2025
PATeam at SemEval-2025 Task 9: LLM-Augmented Fusion for AI-Driven Food Safety Hazard Detection SEMEVAL 2025
Irapuarani at SemEval-2025 Task 10: Evaluating Strategies Combining Small and Large Language Models for Multilingual Narrative Detection SEMEVAL 2025
PromotionGo at SemEval-2025 Task 11: A Feature-Centric Framework for Cross-Lingual Multi-Emotion Detection in Short Texts SEMEVAL 2025
NTA at SemEval-2025 Task 11: Enhanced Multilingual Textual Multi-label Emotion Detection via Integrated Augmentation Learning ACL 2025
Trans-Sent at SemEval-2025 Task 11: Text-based Multi-label Emotion Detection using Pre-Trained BERT Transformer Models SEMEVAL 2025
Multilingual Propaganda Detection: Exploring Transformer-Based Models mBERT, XLM-RoBERTa, and mT5 COLING 2025