Learning More from Mixed Emotions: A Label Refinement Method for Emotion Recognition in Conversations
Saved in:
| Main Authors: | Jintao Wen, Geng Tu, Rui Li, Dazhi Jiang, Wenhua Zhu |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
The MIT Press
2023-12-01
|
| Series: | Transactions of the Association for Computational Linguistics |
| Online Access: | http://dx.doi.org/10.1162/tacl_a_00614 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
MLAL: Multiple Prompt Learning and Generation of Auxiliary Labeled Utterances for Emotion Recognition in Conversations
by: Zhinan Gou, et al.
Published: (2025-06-01) -
Modality-Guided Refinement Learning for Multimodal Emotion Recognition
by: Sunyoung Cho
Published: (2025-01-01) -
Adaptive Graph Learning with Multimodal Fusion for Emotion Recognition in Conversation
by: Jian Liu, et al.
Published: (2025-06-01) -
Graph attention based on contextual reasoning and emotion-shift awareness for emotion recognition in conversations
by: Juan Yang, et al.
Published: (2025-05-01) -
Staged transfer learning for multi-label half-face emotion recognition
by: Mohamed M. Abd ElMaksoud, et al.
Published: (2025-05-01)