Research on Intelligent Question and Answer Reasoning Algorithm Based on Natural Language Processing Technology

With the continuous progress of artificial intelligence technology, intelligent Q&A systems have become one of the most important ways for people to obtain information. However, traditional Q&A systems retrieve answers only through keyword matching and are unable to perform deep semantic understanding and reasoning, thus affecting the accuracy and reliability of the system. Therefore, this paper proposes an intelligent Q&A reasoning algorithm based on natural language processing technology, aiming to improve the Q&A capability of the system. This paper focuses on the application of intelligent Q&A reasoning algorithm based on natural language processing technology in the field of intelligent training for power information communication. An intelligent Q&A reasoning algorithm is designed by combining neural network technology. The experimental results show that the algorithm performs well in entity extraction and entity-relationship graph design, and achieves good accuracy in question-answer reasoning. The algorithm has the potential and advantage of providing an efficient and intelligent solution for intelligent training in power information and communication.