Developing a Robust Question and Answer System for the Turkish Language Utilizing Deep Learning Techniques

Research on open-ended question and answer systems faces several complex challenges within the domain of natural language processing, one of which is limited data availability. Although numerous studies have been conducted in widely spoken languages such as English, there is a notable scarcity of re...

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Главные авторы:	Kadir Tutar, Olcay Taner Yildiz
Формат:	Artigo
Язык:	Inglês
Опубликовано:	IEEE 2025-01-01
Серии:	IEEE Access
Предметы:	Natural language processing question answering machine reading comprehension Turkish question answer dataset SQuAD knowledge base data
Online-ссылка:	https://ieeexplore.ieee.org/document/11240179/
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