DEFINITION OF CONFIDENCE DEGREES RELATED TO ATTRIBUTE VALUES OF INFORMATION OBJECTS Russian patent published in 2017 - IPC G06F17/00 

Abstract RU 2640297 C2

FIELD: physics.

SUBSTANCE: method of extracting information from texts in the natural language comprises: receiving a text in a natural language using the processing device; executing syntactic and semantic analysis of a text in the natural language to obtain a plurality of semantic structures, interpretation of many of the semantic structures through a set of production rules to obtain a plurality of the data elements, each of which binds an attribute value with an information object that represents the entity, determining at least one data element in the set of the data elements of the confidence level by calculating a function of confidence represented by a linear classifier associated with the set of the production rules.

EFFECT: improving the accuracy of information to be extracted.

20 cl, 17 dwg

Similar patents RU2640297C2

Title Year Author Number
USING VERIFIED BY USER DATA FOR TRAINING MODELS OF CONFIDENCE 2016
  • Matskevich Stepan Evgenevich
  • Belov Andrej Aleksandrovich
RU2646380C1
USE OF DEPTH SEMANTIC ANALYSIS OF TEXTS ON NATURAL LANGUAGE FOR CREATION OF TRAINING SAMPLES IN METHODS OF MACHINE TRAINING 2016
  • Anisimovich Konstantin Vladimirovich
  • Selegej Vladimir Pavlovich
  • Garashchuk Ruslan Vladimirovich
RU2636098C1
VERIFICATION OF INFORMATION OBJECT ATTRIBUTES 2016
  • Pospelova Anna Alekseevna
  • Rakhmatulina Elmira Monirovna
RU2640718C1
MULTI STAGE RECOGNITION OF THE REPRESENT ESSENTIALS IN TEXTS ON THE NATURAL LANGUAGE ON THE BASIS OF MORPHOLOGICAL AND SEMANTIC SIGNS 2016
  • Anisimovich Konstantin Vladimirovich
  • Indenbom Evgeny Mihaylovich
  • Novitskiy Valery Igorevich
RU2619193C1
SYSTEM AND METHOD FOR AUTOMATIC CREATION OF TEMPLATES 2018
  • Anisimovich Konstantin Vladimirovich
  • Garashchuk Ruslan Vladimirovich
  • Matskevich Stepan Evgenevich
RU2697647C1
TRAINING CLASSIFIERS USED TO EXTRACT INFORMATION FROM NATURAL LANGUAGE TEXTS 2018
  • Matskevich Stepan Evgenevich
  • Bulgakov Ilya Aleksandrovich
RU2691855C1
CLASSIFIER TRAINING USED FOR EXTRACTING INFORMATION FROM TEXTS IN NATURAL LANGUAGE 2018
  • Matskevich Stepan Evgenevich
  • Bulgakov Ilya Aleksandrovich
RU2681356C1
RECOVERY OF TEXT ANNOTATIONS RELATED TO INFORMATION OBJECTS 2017
  • Bulgakov Ilya Aleksandrovich
  • Indenbom Evgenij Mikhajlovich
RU2665261C1
METHOD OF EXTRACTING FACTS FROM TEXTS ON NATURAL LANGUAGE 2016
  • Starostin Anatolij Sergeevich
  • Smurov Ivan Mikhajlovich
  • Dzhumaev Stanislav Sergeevich
RU2637992C1
SENTIMENT ANALYSIS AT THE LEVEL OF ASPECTS USING METHODS OF MACHINE LEARNING 2016
  • Matskevich Stepan Evgenevich
  • Kuznetsova Ekaterina Sergeevna
  • Gusev Ilya Olegovich
RU2657173C2

RU 2 640 297 C2

Authors

Belov Andrej Aleksandrovich

Matskevich Stepan Evgenevich

Dates

2017-12-27Published

2016-05-17Filed