Development of system for generating questions, answers, distractors using transformers
Barlybayev A. Matkarimov B.
2024Institute of Advanced Engineering and Science
International Journal of Electrical and Computer Engineering
2024#14Issue 21851 - 1863 pp.
The goal of this article is to develop a multiple-choice questions generation system that has a number of advantages, including quick scoring, consistent grading, and a short exam period. To overcome this difficulty, we suggest treating the problem of question creation as a sequence-to-sequence learning problem, where a sentence from a text passage can directly mapped to a question. Our approach is data-driven, which eliminates the need for manual rule implementation. This strategy is more effective and gets rid of potential errors that could result from incorrect human input. Our work on question generation, particularly the usage of the transformer model, has been impacted by recent developments in a number of domains, including neural machine translation, generalization, and picture captioning.
Automated test set generation , Multiple-choice question , Natural language processing , Question generation , Transformers
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Department of Artificial Intelligence Technologies, L.N. Gumilyov Eurasian National University, Astana, Kazakhstan
Higher School of Information Technology and Engineering, Astana International University, Astana, Kazakhstan
Department of Artificial Intelligence Technologies
Higher School of Information Technology and Engineering
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