COSMIC: COmmonSense knowledge for eMotion Identification in Conversations
Deepanway Ghosal, Navonil Majumder, Alexander F. Gelbukh, Rada F. Mihalcea, Soujanya Poria · 2020
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-theart 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.