JoPR: Joint Emotion Perception and Reasoning for Conversational Emotion Recognition (2026.acl-long)
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| Challenge: | Existing methods for ERC lack human-like emotion reasoning and discrimination between similar emotions. |
| Approach: | They propose a multi-dimension curriculum with long CoT fine-tuning to clone human-like emotion reasoning for conversational emotion recognition. |
| Outcome: | The proposed model outperforms existing methods on three widely used datasets and shows that it is more intuitive and more accurate. |
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| Challenge: | Recent studies on ERC lack the ability to extract and integrate emotional clues from the conversational context. |
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| Challenge: | Emotion recognition in conversation (ERC) is an advanced capability of conversational AI systems. |
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| Challenge: | Large Language Models (LLMs) are limited in interpreting complex conversational streams. |
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| Challenge: | Existing methods for Emotion Recognition in conversations are insufficient in understanding the rich historical emotional context. |
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| Challenge: | Emotion recognition in conversation research suffers from data imbalance and the presence of similar linguistic expressions for different emotions. |
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| Challenge: | Emotion recognition in conversation (ERC) is essential for dialogue systems to identify the emotions expressed by speakers. |
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Emotion Recognition in Conversation via Dynamic Personality (2024.lrec-main)
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| Challenge: | Existing approaches to ERC focus on conversational contexts, but focus on static personality. |
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| Challenge: | Emotion recognition in conversation (ERC) is a task of discerning human emotions for each utterance within a conversation. |
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ERCThinker: Fast-Slow Thinking for Emotion Recognition in Conversation (2026.acl-long)
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| Challenge: | Existing methods for ERC lack interpretability and shallow semantics capture deep semantics. |
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Emotion-Anchored Contrastive Learning Framework for Emotion Recognition in Conversation (2024.findings-naacl)
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| Challenge: | Emotion Recognition in Conversation (ERC) is a task that aims to identify the emotions behind each utterance in a conversation. |
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