Efficient Knowledge Graph Construction with Pre-trained Language Models

Abstract

Constructing knowledge graphs (KGs) is essential for various natural language understanding tasks, such as question answering, information extraction, and recommendation systems. However, the process of building KGs is typically time-consuming and labor-intensive. This talk introduces technologies and tools to efficiently construct KGs using pre-trained language models (PLMs).