Emotion-Anchored Contrastive Learning Framework for Emotion Recognition in Conversation

Fangxu Yu; Junjie Guo; Zhen Wu; Xinyu Dai

doi:10.18653/v1/2024.findings-naacl.282

ScienceGate Book Chapters

JOURNAL ARTICLE

Emotion-Anchored Contrastive Learning Framework for Emotion Recognition in Conversation

Fangxu Yu Junjie Guo Zhen Wu Xinyu Dai

Year: 2024 Pages: 4521-4534

DOI: 10.18653/v1/2024.findings-naacl.282

Get Full-Text PDF Get Analytical Report

Keywords:

Conversation Computer science Emotion recognition Natural language processing Speech recognition Linguistics Human–computer interaction Artificial intelligence Psychology Communication

Metrics

Cited By

18.64

FWCI (Field Weighted Citation Impact)

Refs

0.99

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Emotion and Mood Recognition

Social Sciences → Psychology → Experimental and Cognitive Psychology

Emotion-Anchored Contrastive Learning Framework for Emotion Recognition in Conversation

Metrics

Citation History

Topics

Related Documents

Supervised Prototypical Contrastive Learning for Emotion Recognition in Conversation

Improving Contrastive Learning in Emotion Recognition in Conversation via Data Augmentation and Decoupled Neutral Emotion

Prompt-based hybrid supervised contrastive learning for emotion recognition in conversation

Multimodal Prompt Transformer with Hybrid Contrastive Learning for Emotion Recognition in Conversation

Emotion-aware Multi-view Contrastive Learning for Facial Emotion Recognition