Email this article Generating Natural Language Questions Using Neural Networks
- Authors: Malekova V.A.1, Romanova E.V.1
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Affiliations:
- Financial University under the Government of the Russian Federation
- Issue: Vol 18, No 2 (2022)
- Pages: 235-239
- Section: Articles
- URL: https://journals.rcsi.science/2541-8025/article/view/147081
- ID: 147081
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Abstract
The article demonstrates the main known algorithms for autonomous generation of questions in natural language using neural network tools. Various methods for solving emerging difficulties, the mechanism of the model and the ways of implementation are considered. The results of applying the main algorithms and their analysis to improve the chosen method are presented.
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##article.viewOnOriginalSite##About the authors
Victoria A. Malekova
Financial University under the Government of the Russian Federation
Email: vamalekova@fa.ru
Deputy head of department, Department of Data Analysis and Machine Learning Moscow, Russian Federation
Ekaterina V. Romanova
Financial University under the Government of the Russian Federation
Email: ekvromanova@fa.ru
Cand. Sci. (Phys.-Math.), Associate Professor, Deputy head of department for scientific work, Department of Data Analysis and Machine Learning Moscow, Russian Federation
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