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International Journal for Research Trends and Innovation
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ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Impact Factor : 8.14
Issue per Year : 12
Volume Published : 10
Issue Published : 115
Article Submitted : 19455
Article Published : 8041
Total Authors : 21252
Total Reviewer : 769
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| Paper Title: | Automatic Multiple Choice Question Generation from Text: A Survey |
| Authors Name: | Musale Ashish Rambhau , Bhujbal Omkar Vaibhav , Meghana Phadatare , Ishwari Jadhav |
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| Author Reg. ID: |
IJRTI_181004
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| Published Paper Id: | IJRTI1909014 |
| Published In: | Volume 4 Issue 9, September-2019 |
| DOI: | |
| Abstract: | Automatic Multiple alternative Question (MCQ) generation from a text may be a standard analysis space. MCQs are wide accepted for large-scale assessment in varied domains and applications. However, manual generation of MCQs is pricey and time-consuming. Therefore, researchers were involved towards routine MCQ generation since the delayed 90’s. Since then, many systems are developed for MCQ generation. We have a tendency to perform a scientific review of these systems. This paper presents our findings on the review. we have a tendency to define a generic advancement for Associate in Nursing automatic MCQ generation system. The advancement consists of six phases. For each of those phases, we discover and discuss the list of techniques adopted within the literature. we have a tendency to additionally study the analysis techniques for assessing the standard of the system generated MCQs. Finally, we have a tendency to establish the areas wherever the present analysis focus ought to be directed toward enriching the literature. |
| Keywords: | Automatic Question Generation, Multiple Choice Questions, Natural Language Processing, Text Analysis |
| Cite Article: | "Automatic Multiple Choice Question Generation from Text: A Survey", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.4, Issue 9, page no.76 - 77, September-2019, Available :http://www.ijrti.org/papers/IJRTI1909014.pdf |
| Downloads: | 000205106 |
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2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
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Published Paper ID: IJRTI1909014
Registration ID:181004
Published In: Volume 4 Issue 9, September-2019
DOI (Digital Object Identifier):
Page No: 76 - 77 Country: -, -, - Research Area: Engineering Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI1909014 Published Paper PDF: https://www.ijrti.org/papers/IJRTI1909014 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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