Overview of Entity-Relationship Extraction

Abstract

Information extraction is a pivotal focus in the field of natural language processing, with entity-relationship extraction being a key component. This paper examines the historical development of entity-relationship extraction and discusses the characteristics of various entity-relationship extraction methods. Additionally, it presents an overview of several leading entity-relationship extraction techniques currently in use. The paper concludes with a forward-looking perspective on the future of entity-relationship extraction, particularly in the context of advancements in deep learning.