EXTRACTION OF ENTITIES FROM TEXTS IN NATURAL LANGUAGE Russian patent published in 2017 - IPC G06K9/00 

Abstract RU 2626555 C2

FIELD: information technology.

SUBSTANCE: method for searching and extracting entities in natural language texts includes obtaining by the computing device, using user interface, the identifiers of the first set of word groups in the text in natural language, the association of object, performing the semantic-syntactic analysis of the text in natural language to obtain the first set of semantic structures, determining in the text in natural language of the second set of word groups, in response to receiving confirmation that the group of words from the second set of group of words represents an object associated with the same ontology concept, changing the parameter of classification model used to classify semantic structures, reflecting the degree of association of given object with corresponding ontology concept.

EFFECT: increasing the degree of proximity of semantic structures with a certain ontology concept.

18 cl, 18 dwg

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RU 2 626 555 C2

Authors

Starostin Anatolij Sergeevich

Danielyan Tatyana Vladimirovna

Smurov Ivan Mikhajlovich

Dates

2017-07-28Published

2015-12-02Filed