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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| Автори: | , , |
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| Формат: | Artigo |
| Мова: | Inglês |
| Опубліковано: |
IEEE
2026-01-01
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| Серія: | IEEE Access |
| Предмети: | |
| Онлайн доступ: | https://ieeexplore.ieee.org/document/11366846/ |
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