Automatic question generation: a review of methodologies, datasets, evaluation metrics, and applications
Date of Submission
22nd Sep 2023
General Information:
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Year Of Paper Submission : 2022-23 |
Type of Applicant : Research Scholar |
Selected Course : PhD |
Department of Applicant : COMPS |
Class of Applicant : Research Scholar |
Applicants Details:
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UCID of Applicant : 2017530015 |
Applicant Name : Nikahat Mulla |
Applicant Email : nikahat_kazi@spit.ac.in |
Applicant Contact Number : 09819238567 |
Guide Details:
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Department of Guide No. 1 : Computer Engineering |
Name of First Guide : Dr. Prachi Gharpure |
Paper Details:
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Title of Paper : Automatic question generation: a review of methodologies, datasets, evaluation metrics, and applications |
Type of Paper : international |
Type of Publication : international |
Name of the Conference/journal/publisher :
Progress in Artificial Intelligence, Springer Nature |
Date Of Conference / Journal / Book :
2023-01-30 |
DOI : https://doi.org/10.1007/s13748-023-00295-9 |
Citation of Journal : Mulla, N., Gharpure, P. Automatic question generation: a review of methodologies, datasets, evaluation metrics, and applications. Prog Artif Intell (2023). https://doi.org/10.1007/s13748-023-00295-9 |
Journal from : web of science |
Remark : Both Scopus and Web of Science |