Papers with prototype-based approach

2 papers
Emotion Transfer with Enhanced Prototype for Unseen Emotion Recognition in Conversation (2025.emnlp-main)

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Challenge: Existing research on emotion recognition in conversation does not reach a consensus on classification theories . despite this, there is no clear consensus on how to recognize previously unseen emotions in real-world applications.
Approach: They propose a prototype-based emotion transfer framework that can be used in real-world applications.
Outcome: The proposed framework shows promise but still faces key challenges in the field of emotion recognition in conversation.
This Reads Like That: Deep Learning for Interpretable Natural Language Processing (2023.emnlp-main)

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Challenge: In this work, we explore the extension of prototypical networks to natural language processing.
Approach: They propose a weighted similarity measure that enhances the similarity computation by focusing on informative dimensions of pre-trained sentence embeddings.
Outcome: The proposed method improves predictive performance on AG News and RT Polarity datasets and the rationale-based recurrent convolutions.

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