Automatic computer science domain multiple-choice questions generation based on informative sentences.

Maheen, Farah; Asif, Muhammad; Ahmad, Haseeb; Ahmad, Shahbaz; Alturise, Fahad; Asiry, Othman; Ghadi, Yazeed Yasin

Maheen, Farah; Asif, Muhammad; Ahmad, Haseeb; Ahmad, Shahbaz; Alturise, Fahad; Asiry, Othman; Ghadi, Yazeed Yasin.

Afiliación

Maheen F; Department of Computer Science, National Textile University, Faisalabad, Pakistan.
Asif M; Department of Computer Science, National Textile University, Faisalabad, Pakistan.
Ahmad H; Department of Computer Science, National Textile University, Faisalabad, Pakistan.
Ahmad S; Department of Computer Science, National Textile University, Faisalabad, Pakistan.
Alturise F; Department of Computer, College of Science and Arts in Ar Rass, Qassim University, Ar Rass, Qassim, Saudi Arabia.
Asiry O; Department of Information Technology, College of Computing and Information Technology at Khulais, University of Jeddah, Jeddah, Saudi Arabia.
Ghadi YY; Department of Computer Science/Software Engineering, Al Ain University, Abu Dhabi, UAE.

PeerJ Comput Sci ; 8: e1010, 2022.

Article en En | MEDLINE | ID: mdl-36091982

Palabras clave

BERT; Multiple choice questions; Natural language processing; TF-IDF; Text analysis

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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Idioma: En Revista: PeerJ Comput Sci Año: 2022 Tipo del documento: Article País de afiliación: Pakistán

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