Enhancing Query Understanding in Educational Question Answering Systems Through Neural Models

Accurate query type prediction is a critical component in knowledge graph-based Question Answering (QA) systems, enabling efficient query processing and facilitating the generation of query-specific responses. This study focuses on developing a query classification framework tailored for educational...

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Detalles Bibliográficos

Principais autores:	B. P. Swathi, M. Geetha, M. V. Suhas
Formato:	Artigo
Idioma:	Inglês
Publicado:	IEEE 2026-01-01
Series:	IEEE Access
Assuntos:	Deep learning models educational institutions knowledge graphs natural language processing (NLP) natural language understanding (NLU) predictive models
Acceso en liña:	https://ieeexplore.ieee.org/document/11366846/
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