Research on the Application of Knowledge Graph Integrated with Pre-trained Language Models in Government Question-answering Systems
Aiming at the problems of complex context understanding and interpretation of policies and regulations faced by the current government question answering system,this paper discusses how to effectively integrate pre-trained language models and knowledge graphs,so as to realize more accurate,comprehensive and personalized government information question answering service.The framework of government question answering system is constructed,and the significant advantages of this method in improving the accuracy of question answering and enhancing the context understanding ability are verified by using knowledge graph and large model tools.
knowledge graphnatural language processingpre-trained language modeltripleknowledge base
NETL
NSTL
万方数据
