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

Understand

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 missing and noisy 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 message texts and relations simultaneously.