Emotion Recognition in Conversation

Abstract

Researcher(s): Seunguook Lim

Emotion recognition in conversation (ERC) is getting more and more attention, as interactions between human and machine increase in a variety of services including chat-bot and virtual assistant. As emotional expressions within a conversation can heavily depend on the contextual information of the participating speakers, it is important to capture self- and inter-speaker dynamics. We've studied methods for ERC to capture these speaker-dependent contexts.