METHOD AND SYSTEM FOR MACHINE EXTRACTION AND INTERPRETATION OF TEXT INFORMATION Russian patent published in 2016 - IPC G06F17/27 G06F17/20 

Abstract RU 2592396 C1

FIELD: linguistics.

SUBSTANCE: invention relates to extraction and interpretation of information from unstructured text on natural languages, in particular, to machine extraction and interpretation of information in text documents. Machine method of extracting information from text document, involving semantic-syntactic analysis of document sentences to create semantic-syntactic structures of sentences, use of production rules to semantic-syntactic structures, to create set of logic statements on information objects, contained in this document, wherein productional rules are based on linguistic features and lexical-morphological properties of semantic-syntactic structures and ontology domain of sentences, and use of set of logic statements on information objects, contained in document to construct RDF-graph consent with ontology.

EFFECT: technical result is effective analysis of documents for extracting and interpreting information in text documents.

16 cl, 16 dwg

Similar patents RU2592396C1

Title Year Author Number
EXTRACTING INFORMATION FROM STRUCTURED DOCUMENTS CONTAINING TEXT IN NATURAL LANGUAGE 2015
  • Danielyan Tatiana Vladimirovna
  • Bulgakov Ilya Aleksandrovich
RU2607976C1
EXTRACTION OF INFORMATION USING ALTERNATIVE VARIANTS OF SEMANTIC-SYNTACTIC ANALYSIS 2016
  • Matskevich Stepan Evgenevich
RU2646386C1
EXTRACTION OF INFORMATION FROM SANITARY BLOCKS OF DOCUMENTS USING MICROMODELS ON BASIS OF ONTOLOGY 2017
  • Danielyan Tatyana Vladimirovna
  • Mikhajlov Maksim Borisovich
RU2662688C1
USING VERIFIED BY USER DATA FOR TRAINING MODELS OF CONFIDENCE 2016
  • Matskevich Stepan Evgenevich
  • Belov Andrej Aleksandrovich
RU2646380C1
DEFINITION OF CONFIDENCE DEGREES RELATED TO ATTRIBUTE VALUES OF INFORMATION OBJECTS 2016
  • Belov Andrej Aleksandrovich
  • Matskevich Stepan Evgenevich
RU2640297C2
RECOVERY OF TEXT ANNOTATIONS RELATED TO INFORMATION OBJECTS 2017
  • Bulgakov Ilya Aleksandrovich
  • Indenbom Evgenij Mikhajlovich
RU2665261C1
SENTIMENT ANALYSIS AT LEVEL OF ASPECTS AND CREATION OF REPORTS USING MACHINE LEARNING METHODS 2016
  • Mikhajlov Maksim Borisovich
  • Pasechnikov Konstantin Alekseevich
RU2635257C1
CLASSIFICATION OF DOCUMENTS BY LEVELS OF CONFIDENTIALITY 2019
  • Zyuzin Andrej Andreevich
  • Uskova Olesya Vladimirovna
RU2732850C1
METHOD OF EXTRACTING FACTS FROM TEXTS ON NATURAL LANGUAGE 2016
  • Starostin Anatolij Sergeevich
  • Smurov Ivan Mikhajlovich
  • Dzhumaev Stanislav Sergeevich
RU2637992C1
SYSTEM AND METHOD FOR AUTOMATIC CREATION OF TEMPLATES 2018
  • Anisimovich Konstantin Vladimirovich
  • Garashchuk Ruslan Vladimirovich
  • Matskevich Stepan Evgenevich
RU2697647C1

RU 2 592 396 C1

Authors

Starostin Anatoly Sergeevich

Smurov Ivan Mikhailovich

Stepanova Maria Evgenyevna

Dates

2016-07-20Published

2015-02-03Filed