EmotionIC: emotional inertia and contagion-driven dependency modeling for emotion recognition in conversation

arXiv:2303.11117v5 Announce Type: replace
Abstract: Emotion Recognition in Conversation (ERC) has attracted growing attention in recent years as a result of the advancement and implementation of human-computer interface technologies. In this paper, we propose an emotional inertia and contagion-driven dependency modeling approach (EmotionIC) for ERC task. Our EmotionIC consists of three main components, i.e., Identity Masked Multi-Head Attention (IMMHA), Dialogue-based Gated Recurrent Unit (DiaGRU), and Skip-chain Conditional Random Field (SkipCRF). Compared to previous ERC models, EmotionIC can model a conversation …

abstract advancement arxiv attention computer contagion conversation cs.cl emotion human implementation modeling paper recognition technologies type