Relational Prompt-based Pre-trained Language Models for Social Event Detection

arXiv:2404.08263v1 Announce Type: cross
Abstract: Social Event Detection (SED) aims to identify significant events from social streams, and has a wide application ranging from public opinion analysis to risk management. In recent years, Graph Neural Network (GNN) based solutions have achieved state-of-the-art performance. However, GNN-based methods often struggle with noisy and missing edges between messages, affecting the quality of learned message embedding. Moreover, these methods statically initialize node embedding before training, which, in turn, limits the ability to learn from …

abstract analysis application art arxiv cs.ai cs.cl cs.lg cs.si detection event events gnn graph graph neural network however identify language language models management network neural network opinion performance prompt public relational risk social solutions state struggle type