METHOD OF EXTRACTING FACTS FROM TEXTS ON NATURAL LANGUAGE Russian patent published in 2017 - IPC G06F17/27 

FIELD: information technology.

SUBSTANCE: in the method of retrieving facts from natural language texts getting the ID of the first token contained in the text and incorporating natural language word, referring to the first information object represented by the first named entity. Obtaining the identifiers of the first set of words representing the first fact of a certain category of facts, associated with the first information object of a certain category of information objects. The second set of words is defined in the text, including a second token referring to the second information object associated with the specified category of information objects. In response to receiving confirmation that the second set of words represents a second fact associated with the second information object of the same category of information objects, the second fact is extracted and stored in the form of RDF graph. The parameter of the classifier function, which gives a value reflecting the degree of association of the given semantic structure with the fact from a certain category of facts, is changed.

EFFECT: enabling the end user to extract information and create ontologies in automatic mode.

20 cl, 27 dwg