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System analysis, management and information processing
Methods of organizing question-answering systems
G. V. Dorokhinaa, A. G. Polousba a Institute of Artificial Intelligence Problems,
283048, Russia, Donetsk, 118b Artema street
b Donetsk National University,
283001, Russia, Donetsk, 24 University street
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:
robotics, navigation, positioning, SLAM, computer vision, hydroacoustic, group control of robots
Received: 25.11.2024 Revised: 09.12.2024 Accepted: 11.12.2024
Citation:
G. V. Dorokhina, A. G. Polous, “Methods of organizing question-answering systems”, News of the Kabardino-Balkarian Scientific Center of the Russian Academy of Sciences, 26:6 (2024), 175–187
Linking options:
https://www.mathnet.ru/eng/izkab921 https://www.mathnet.ru/eng/izkab/v26/i6/p175
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