Workgold2021

DialogueCRN: Contextual Reasoning Networks for Emotion Recognition in Conversations

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Emotion and Mood Recognition Sentiment Analysis and Opinion Mining Speech and dialogue systems

Abstract

Dou Hu, Lingwei Wei, Xiaoyong Huai. Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers). 2021.

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References

1962Cognitive, social, and physiological determinants of emotional state.2007Dual-Processing Accounts of Reasoning, Judgment, and Social Cognition 2008IEMOCAP: interactive emotional dyadic motion capture database 1996The empirical case for two systems of reasoning.2003In two minds: dual-process accounts of reasoning 2001Appraisal processes in emotion: Theory, methods, research.2019MELD: A Multimodal Multi-Party Dataset for Emotion Recognition in Conversations 2019DialogueGCN: A Graph Convolutional Neural Network for Emotion Recognition in Conversation

Cited by

2022M2FNet: Multi-modal Fusion Network for Emotion Recognition in Conversation 2022COGMEN: COntextualized GNN based Multimodal Emotion recognitioN 2023GraphCFC: A Directed Graph Based Cross-Modal Feature Complementation Approach for Multimodal Conversational Emotion Recognition 2022Contrast and Generation Make BART a Good Dialogue Emotion Recognizer 2022EmoCaps: Emotion Capsule based Model for Conversational Emotion Recognition 2023GraphMFT: A graph network based multimodal fusion technique for emotion recognition in conversation 2023GA2MIF: Graph and Attention Based Two-Stage Multi-Source Information Fusion for Conversational Emotion Detection 2022Supervised Prototypical Contrastive Learning for Emotion Recognition in Conversation

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