Emotion recognition in conversation (ERC) based on multiple modalities has attracted
enormous attention. However, most research simply concatenated multimodal …

Recently, multi-modal affective computing has demonstrated that introducing multi-modal
information can enhance performance. However, multi-modal research faces significant …

Emotion recognition in conversation (ERC) is a widely used technology in both affective
dialogue bots and dialogue recommendation scenarios, where motivating a system to …

Abstract Multimodal Emotion Recognition in Conversations (MERC) identifies utterance
emotions by integrating both contextual and multimodal information from dialogue videos …

To generate more emotionally human-like responses, it is important for the chatbot to not
only infer the emotions of interlocutors, but also consider the underlying causes of these …

Emotion detection in conversational settings holds significant importance across various
domains, such as customer service, mental health support, and virtual assistants. In this …

Emotion recognition is an emerging field of study that aims to develop intelligent systems
capable of identifying, interpreting, and responding to human emotions. This thesis focuses …