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ISSN 1991-6639 (print), ISSN 2949-1940 (online)

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Indexing Databases

Methods of organizing question-answering systems

G.V. Dorokhina, A.G. Polous

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Abstract. Today the issue of human-machine interaction via natural language text, including the use of question answering systems, is relevant. The purpose of the work is to analyze the methods of developing question answering systems. It was achieved by considering the types of questions and types of question answering systems, describing the methods of building question answering systems. Embedding question answering systems into digital platforms will allow improving customer interaction without significantly expanding staff, contributing to more effective solutions to their problems, and improving service. This will simultaneously contribute to the growth of income of supplier organizations and improve the life quality of goods and services consumers.

Keywords: question-answering system, natural language processing, database, knowledge base, ontology, machine learning, pre-trained language models

For citation. Dorokhina G.V., Polous A.G. Methods of organizing question-answering systems. News of the Kabardino-Balkarian Scientific Center of RAS. 2024. Vol. 26. No. 6. Pp. 175–187. DOI: 10.35330/1991-6639-2024-26-6-175-187

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Information about the author

Galina V. Dorokhina, Researcher, Department of Systems Analysis and Intelligent Interfaces, Institute
of Artificial Intelligence Problems;
283048, Russia, Donetsk, 118b Artema street;
SPIN-code: 6522-7758
Andrey G. Polous, Software Engineer, Department of Systems Analysis and Intelligent Interfaces,
Institute of Artificial Intelligence Problems;
283048, Russia, Donetsk, 118b Artema street;
student, Faculty of Physics and Technology, Donetsk State University;
283001, Russia, Donetsk, 24 University street;
SPIN-code: 6966-7988

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