Fuzzy fingerprints derived from PLM embeddings serve as interpretable emotion prototypes that reduce neutral overclassification in ERC while maintaining state-of-the-art performance and aligning with human judgments.
In: 2011 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2011), IEEE, pp 2622--2629
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CL 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Fuzzy Fingerprinting Encoder Pre-trained Language Models for Emotion Recognition in Conversations: Human Assessment and Validity Study
Fuzzy fingerprints derived from PLM embeddings serve as interpretable emotion prototypes that reduce neutral overclassification in ERC while maintaining state-of-the-art performance and aligning with human judgments.