Review of relation extraction methods: What is new out there?

Abstract

Relation extraction is a part of Information Extraction andan established task in Natural Language Processing. This paper presents  an overview of the main directions of research and recent advances in the field. It reviews various techniques used for relation extraction including knowledge-based, supervised and self-supervised methods. We also mention applications of relation extraction and identify current trends in the way the field is developing.