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• W3092186768 abstract "In this paper, we address the task of utterance level emotion recognition in conversations using commonsense knowledge. We propose COSMIC, a new framework that incorporates different elements of commonsense such as mental states, events, and causal relations, and build upon them to learn interactions between interlocutors participating in a conversation. Current state-of-the-art methods often encounter difficulties in context propagation, emotion shift detection, and differentiating between related emotion classes. By learning distinct commonsense representations, COSMIC addresses these challenges and achieves new state-of-the-art results for emotion recognition on four different benchmark conversational datasets. Our code is available at this https URL." @default.
• W3092186768 created "2020-10-15" @default.
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• W3092186768 date "2020-10-06" @default.
• W3092186768 modified "2023-09-27" @default.
• W3092186768 title "COSMIC: COmmonSense knowledge for eMotion Identification in Conversations" @default.
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• W3092186768 hasPublicationYear "2020" @default.
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