DialogueTRM: Exploring Multi-Modal Emotional Dynamics in a Conversation

Emotion dynamics formulates principles explaining the emotional fluctuation during conversations.Recent studies explore the emotion dynamics from the self and inter-personal dependencies, however, ignoring the temporal and spatial dependencies in the situation of multi-modal conversations.To address the issue, we extend the concept of emotion dynamics to multi-modal settings and propose a Dialogue Transformer for simultaneously modeling the intra-modal and inter-modal emotion dynamics.Specifically, the intra-modal emotion dynamics is to not only capture the temporal dependency but also satisfy the context preference in every single modality.The intermodal emotional dynamics aims at handling multi-grained spatial dependency across all modalities.Our models outperform the stateof-the-art with a margin of 4%-16% for most of the metrics on three benchmark datasets.