MCQ Question Generation using Natural Language Processing Techniques

Author(s)	Bareddy Harshavardhan Reddy, V Krishna Reddy, M Dheeraj Kumar, G Vishal
Country	India
Abstract	This paper is about creation of Multiple Choice Questions (MCQ) using Natural Language Processing Techniques. In natural language processing we used T5 text transformer model for creating question and WordNet or Sense2vec are used to generate distractors. The result should be displayed to the user using Gradio user interface. This research will be very useful in educational sectors for conducting Computer Based Test Examinations(CBTE).
Keywords	CBTE,MCQ, Natural Language processing, WordNet.
Field	Engineering
Published In	Volume 5, Issue 2, March-April 2023
Published On	2023-04-21
Cite This	MCQ Question Generation using Natural Language Processing Techniques - Bareddy Harshavardhan Reddy, V Krishna Reddy, M Dheeraj Kumar, G Vishal - IJFMR Volume 5, Issue 2, March-April 2023. DOI 10.36948/ijfmr.2023.v05i02.2587
DOI	https://doi.org/10.36948/ijfmr.2023.v05i02.2587
Short DOI	https://doi.org/gr6h72

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International Journal For Multidisciplinary Research