USING VERIFIED BY USER DATA FOR TRAINING MODELS OF CONFIDENCE Russian patent published in 2018 - IPC G06N3/00 

FIELD: computer engineering.

SUBSTANCE: invention relates to computer systems. A method of extracting information from natural language texts involves executing the semantic-syntactic analysis by the processor, at least one part of a natural language text for obtaining a set of semantic structures, interpretation using a set of production rules, determining a value of at least one attribute associated with at least one information object from a set of information objects, determining the level of confidence, associated with a value of at least one attribute, when determining that the level of confidence is below a threshold level of confidence, acknowledging and/or changing a value of at least one attribute, adding to the training data sample of at least one part of the natural language text, determining by the training data sample of at least one parameter of the specified confidence function.

EFFECT: technical result is aimed at increasing the accuracy of information extracted from natural language texts.

25 cl, 16 dwg