Papers with emotion representation
Representation Mapping: A Novel Approach to Generate High-Quality Multi-Lingual Emotion Lexicons (L18-1)
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| Challenge: | Existing representational frameworks for emotion encoding are incompatible with semantic polarity, resulting in a large amount of incompatible emotion lexicons. |
| Approach: | They propose to map different emotion representation formats onto each other for mutual compatibility and interoperability of language resources. |
| Outcome: | The proposed method produces (near-)gold quality emotion lexicons even in crosslingual settings. |
A Unified View on Emotion Representation in Large Language Models (2026.eacl-long)
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| Challenge: | Recent studies show the presence of emotion concepts in the hidden state representations, but it’s unclear if the model has a robust representation consistent across different datasets. |
| Approach: | They propose a unified view to understand emotion representation in Large Language Models by experimenting with diverse datasets and prompts. |
| Outcome: | The proposed model can be interchanged between datasets with minimal impact on performance. |
CTSM: Combining Trait and State Emotions for Empathetic Response Model (2024.lrec-main)
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| Challenge: | Empathetic response generation attempts to empower dialogue systems to perceive speakers’ emotions and generate empathetic responses accordingly. |
| Approach: | They propose to combine trait and state emotions for Empathetic Response Model to enable dialogue systems to perceive speakers' emotions and generate empathetic responses accordingly. |
| Outcome: | The proposed model outperforms state-of-the-art models and generates more empathetic responses. |