MELD
Related Papers
MELD: A Multimodal Multi-Party Dataset for Emotion Recognition in Conversations
AbstractEmotion recognition in conversations is a challenging task that has recently gained popularity due to its potential applications. Until now, however, a large-scale multimodal multi-party emotional conversational database containing more …...
EDA: Enriching Emotional Dialogue Acts using an Ensemble of Neural Annotators
AbstractThe recognition of emotion and dialogue acts enriches conversational analysis and help to build natural dialogue systems. Emotion interpretation makes us understand feelings and dialogue acts reflect the intentions and …...
MMGCN: Multimodal Fusion via Deep Graph Convolution Network for Emotion Recognition in Conversation
AbstractEmotion recognition in conversation (ERC) is a crucial component in affective dialogue systems, which helps the system understand users’ emotions and generate empathetic responses. However, most works focus on modeling …...
UniMSE: Towards Unified Multimodal Sentiment Analysis and Emotion Recognition
AbstractMultimodal sentiment analysis (MSA) and emotion recognition in conversation (ERC) are key research topics for computers to understand human behaviors. From a psychological perspective, emotions are the expression of affect …...
A Facial Expression-Aware Multimodal Multi-task Learning Framework for Emotion Recognition in Multi-party Conversations
AbstractMultimodal Emotion Recognition in Multiparty Conversations (MERMC) has recently attracted considerable attention. Due to the complexity of visual scenes in multi-party conversations, most previous MERMC studies mainly focus on text …...