System analysis, management and information processing

Methods of organizing question-answering systems

G. V. Dorokhina^a, A. G. Polous<sup>ba

a</sup> 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

UDC: 004.89:004.4

MSC: 68T40; 93С85

Received: 25.11.2024
Revised: 09.12.2024
Accepted: 11.12.2024

DOI: 10.35330/1991-6639-2024-26-6-175-187