Leveraging well-formedness and cognitive level classifiers for automatic question generation on Java technical passages using T5 transformer
Date of Submission
22nd Sep 2023
General Information:
|
| 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 : Leveraging well-formedness and cognitive level classifiers for automatic question generation on Java technical passages using T5 transformer |
| Type of Paper : international |
| Type of Publication : international |
| Name of the Conference/journal/publisher :
International Journal of Information Technology, Springer Nature |
| Date Of Conference / Journal / Book :
2023-04-28 |
| DOI : https://doi.org/10.1007/s41870-023-01262-2 |
| Citation of Journal : Mulla, N., Gharpure, P. Leveraging well-formedness and cognitive level classifiers for automatic question generation on Java technical passages using T5 transformer. Int. j. inf. tecnol. 15, 1961–1973 (2023). https://doi.org/10.1007/s41870-023-01262-2 |
| Journal from : scopus |
| Remark : Springer Nature Scopus-Q1 Journal |
