Context-Aware Siamese Networks for Efficient Emotion Recognition in Conversation

arXiv:2404.11141v1 Announce Type: new
Abstract: The advent of deep learning models has made a considerable contribution to the achievement of Emotion Recognition in Conversation (ERC). However, this task still remains an important challenge due to the plurality and subjectivity of human emotions. Previous work on ERC provides predictive models using mostly graph-based conversation representations. In this work, we propose a way to model the conversational context that we incorporate into a metric learning training strategy, with a two-step process. This …

abstract achievement arxiv challenge context conversation cs.cl deep learning emotion emotions however human human emotions networks predictive predictive models recognition type work