Knowledge Graph-based Intelligent Q&A System for Power Standards
At present,intelligent Q&A systems have become one of the research hotspots in the field of natural language processing owing to the rapid development of artificial intelligence and machine learning.This paper constructs a knowl-edge graph-based intelligent Q&A system for power standards.The system analyzes and understands the questions from users,automatically obtains information from knowledge base resources,and displays search results to users in a multi-dimensional visualization manner.The paper focuses on the construction process of the power standard knowledge base and the implementation method of the Q&A system.The knowledge construction process includes entity recognition,entity relationship extraction,and intention recognition method based on BERT-TextCNN network structure.The system imple-mentation includes the system design scheme and the system interface display results.The development of this system can meet users'Q&A needs for knowledge of power standards.
万方数据
维普
