METHOD OF ANALYSIS AND PROCESSING INFORMATION IN THE DSS ACS

Abstract

Subject: The article contains investigation of the questions related to semantic and syntactic analysis of the texts, decomposition of sentences into component processes, the construction of the syntactic structure of sentences; semantic interpretation of the fragments of a natural language sentence into fragments of an M-language; the composition of the fragments of the M-language in the structure of the abstract, describing the problem environment. Purpose: development of a method for analyzing and processing information on the DSS ACS. Objective: To analyze the research of recent years related to the solution of analyzing the content of the language structure problem from the point of view of creating dialogue systems software, to make a conclusion about the appropriateness of research directions. Perform a detailed description of the stages of performing semantic and parsing with a description of the input, intermediate and output data. Determine the recommendations for the input data variability depending on the structure of the sentences of the subject area (the text described in natural language). Suggest rules for the formation of predicates for different parts of the Ukrainian language. Determine the typical set of service awards for filling the reference dictionary. Justify the implementation of each of the above operations for combining into a single computing structure, which is performed at certain stages. Develop procedures for passing each of the stages. Suggest rules for the formation of syntactic groups for certain pairs of tokens. Conclusions: The application of the developed method based on certain rules in predicates will allow to sample informatively significant information from a set of textual information and present it as an annotation (abstract).