TRAINING CLASSIFIERS USED TO EXTRACT INFORMATION FROM NATURAL LANGUAGE TEXTS Russian patent published in 2019 - IPC G06K9/66 G06F17/27 G06F17/28 

FIELD: data processing.

SUBSTANCE: invention relates to a system and methods of extracting information from natural language texts. Method of extracting information from natural language texts includes: training information extraction classifier to extract first plurality of information objects from text in natural language, wherein determination of information extraction classifier includes one or more hyperparameters; obtaining a list of extracted information objects by performing a conflict arbitration function with respect to a plurality of conflicting information objects; changing values of hyperparameters of information extraction classifier; and optimizing the information extraction quality factor for the list of extracted information objects by iterative repetition of the information extraction classifier training operations, performing the conflict arbitration function and changing the hyperparameter values.

EFFECT: high efficiency and quality of extracting information from natural language texts.

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