Overview of Relation Extraction

Abstract

With the rapid development of big data, information extraction has gradually become a hot research issue. As one of the sub tasks of information extraction, relation extraction is widely used in the fields of knowledge atlas, intelligent question answering and so on. According to the development history of relation extraction, this paper expounds relation extraction based on traditional machine learning, relation extraction based on deep learning and relation extraction in open domain, summarizes the representative research methods, models and achievements, and summarizes and prospects the possible research directions in the future.