Generating Natural Language Questions Using Neural Networks
( Pp. 235-239)

More about authors
Malekova Victoria A. Deputy head of department, Department of Data Analysis and Machine Learning
Financial University under the Government of the Russian Federation
Moscow, Russian Federation Romanova Ekaterina V. Cand. Sci. (Phys.-Math.), Associate Professor, Deputy head of department for scientific work, Department of Data Analysis and Machine Learning
Financial University under the Government of the Russian Federation
Moscow, Russian Federation
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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.
How to Cite:
Malekova V.A., Romanova E.V., (2022), GENERATING NATURAL LANGUAGE QUESTIONS USING NEURAL NETWORKS. Economic Problems and Legal Practice, 2: 235-239.
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Keywords:
neural networks, natural language, generation, analysis, neural network model.