USE OF DEPTH SEMANTIC ANALYSIS OF TEXTS ON NATURAL LANGUAGE FOR CREATION OF TRAINING SAMPLES IN METHODS OF MACHINE TRAINING

摘要

FIELD: physics.;SUBSTANCE: method includes: the implementation of a lexico-morphological analysis of a text in a natural language by the computer system, the implementation of a syntactic-semantic analysis of the text in natural language for obtaining a multitude of semantic structures, the selection of the set of output attributes from the lexical, grammatical, syntactic, and semantic attributes of the semantic structures; and generation of an output text and an index including symbolic identifiers of one or more attribute values from the output attribute set, where each attribute is associated with a corresponding part of the text in natural language, and the said one or more attribute values are accompanied by a probability value.;EFFECT: automation of the process of obtaining highly accurate marked texts of any volume and a content in accordance with the selected marking method and their use for machine learning in natural language processing tasks.;20 cl, 14 dwg