GCUL: Ambiguity Identification in Text Emotion Classification via Cluster-Guided Learning

arXiv:2609.29327 · stat.ML, cs.LG · Submitted 2026-09-24 · Read on arXiv

stat.ML, cs.LG

Submitted: 2026-09-24

Updated: 2026-09-24

Comments: 15 pages, 8 figures, 21 tables

Code: https://github.com/u678868/GCUL

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Accuracy — 24× in this paper · explained in 1 episode
• Clustering — 13× in this paper · explained in 2 episodes
• Benchmark — 8× in this paper · explained in 2 episodes
• Embeddings — 4× in this paper · explained in 2 episodes
• Adam — 3× in this paper · explained in 2 episodes
• Guided Clustering-based Uncertain Learning — 3× in this paper
• Theoretical Guarantees — 3× in this paper · explained in 2 episodes
• Alignment — 2× in this paper · explained in 1 episode
• Calibration — 2× in this paper · explained in 7 episodes
• Core — 2× in this paper · explained in 2 episodes
• Data Heterogeneity — 2× in this paper · explained in 3 episodes
• Natural Language Processing — 2× in this paper
• Regularization — 2× in this paper · explained in 3 episodes
• Verification — 2× in this paper · explained in 2 episodes
• Abstention — 1× in this paper · explained in 1 episode
• Adaptability — 1× in this paper · explained in 1 episode
• Adversarial Attacks — 1× in this paper · explained in 1 episode
• Apply Linear Discriminant Analysis — 1× in this paper
• Attention Mechanism — 1× in this paper · explained in 2 episodes
• Consistency — 1× in this paper · explained in 3 episodes
• Contrastive Learning — 1× in this paper · explained in 5 episodes
• Distribution Shift — 1× in this paper · explained in 5 episodes
• Feature Extraction — 1× in this paper · explained in 2 episodes
• Generalizability — 1× in this paper · explained in 6 episodes
• Latent Space — 1× in this paper · explained in 7 episodes
• Loss Function — 1× in this paper · explained in 2 episodes
• Maximum Softmax Probability — 1× in this paper
• Non-Gaussianity — 1× in this paper · explained in 2 episodes
• Representation Learning — 1× in this paper · explained in 2 episodes
• Robustness — 1× in this paper · explained in 5 episodes
• Transformer — 1× in this paper · explained in 2 episodes
• Unified Framework — 1× in this paper · explained in 5 episodes

Sources

• DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter

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