A Review of Knowledge Graph Technology in the field of Automatic Question Answering

Abstract

The automatic question answering (QA) system is a typical natural language processing task. How to make the automatic question answering system more intelligent is a popular research direction in the field of natural language processing. In this era of information explosion, the multisource of data itself makes it difficult to integrate and manage. To solve such problems, it is particularly important to construct and present a complete knowledge system. The knowledge graph (KG) shows real-world knowledge through highly structured graphs. Based on the concept of KG, this paper introduces the classification and research status of KG, focuses on the application of knowledge graph in the field of automatic QA, explains the key technologies in the process of constructing knowledge graph, and finally shows the application of knowledge graph in other fields.