Research on intelligent question answering system for preschool education based on knowledge graph and natural language processing

This study introduces an intelligent Q&A system for preschool education, integrating knowledge graphs and natural language processing. It features semantic parsing, multi-level reasoning, emotion perception, and real-time personalization. Testing confirms its strong performance in parsing, recommendations, and emotional feedback, demonstrating its potential for advancing preschool education systems.