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...

Full description

Bibliographic Details

Main Authors:	B. P. Swathi, M. Geetha, M. V. Suhas
Format:	Artigo
Language:	Inglês
Published:	IEEE 2026-01-01
Series:	IEEE Access
Subjects:	Deep learning models educational institutions knowledge graphs natural language processing (NLP) natural language understanding (NLU) predictive models
Online Access:	https://ieeexplore.ieee.org/document/11366846/
Tags:	Add Tag No Tags, Be the first to tag this record!