The purpose of this article is to develop methods for representing scientific documentation in the form of graphs and their subsequent use. It analyzes the current state of quantitative and bibliometric methods for document analysis and possible ways of their application. The article also describes the developed software that serves to visualize the analysis of the conceptual structure of scientific publications and what progress has been made during the study. The result of the work carried out is a software product oriented to use during training at universities, with the ability to view scientific publications in the form of graphs. The software product itself is presented in the form of a web page, with built-in functionality for working with scientific materials and a database where the processed information is stored.
The aim of this study is to evaluate the methods of autonomous collection and use of local contexts for selecting a response option by an intelligent system in the process of dialog interaction. The author analyzes the methods of designing interactive intelligent systems and identifies the main technologies used to implement mechanisms for recognizing user requests and selecting response options. The following research methods were used: technical documentation, scientific papers, conference materials and methodological manuals. The current methods of collecting local contexts used in the most successful projects are analyzed. Methods of encoding text words for software processing are analyzed. Methods of measuring the quality of data collected in this way are analyzed. The result of the work is a presentation of the studied methods for collecting, preserving, and evaluating local contexts. A scheme for data exchange between modules that implement this functionality is also proposed. The results of the work can be used to create a system that combines these methods to improve the quality of dialog interaction and implement self-regulation based on evaluating the power of collected thesaurus. It is shown how it is possible to obtain all the data necessary for the correct functioning of each of the methods within a single algorithm. A comparative analysis of the complexity and effectiveness of individual methods for collecting local contexts and the proposed integrated system is made. The data collected in this way preserves logical connections with the texts that surround them and can be effectively used both for linguistic research aimed at studying the unique features of the use of words in various fields of activity, and for improving the quality of the choice of responses of dialog interaction systems.
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