Work

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

Year: 2025

Type: conference-paper

Abstract: 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.

Source: International Conference on Big Data and Informatization Education (ICBDIE)

DOI: 10.1145/3729605.3729622

Authors: Siyu Liu, Nuo Li

Institution: Changchun Humanities and Sciences College

Language: English

Topic: Artificial Intelligence in Education

Subfield: Information Systems

Field: Computer Science

Domain: Physical Sciences

SDG: Quality education

Open Access status: hybrid

OpenAlex ID: W4410775820

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