Patents by Inventor Andrey Alexandrovich Belov

Andrey Alexandrovich Belov has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Determining confidence levels associated with attribute values of informational objects
    Patent number: 10303770
    Abstract: Systems and methods for determining confidence levels associated with attribute values of informational objects. An example method comprises: receiving a natural language text; performing syntactico-semantic analysis of the natural language text to produce a plurality of semantic structures; interpreting the plurality of semantic structures using a set of production rules to produce a plurality of data items, each data item associating an attribute value with an informational object representing an entity referenced by the natural language text; and determining, for at least one data item of the plurality of data items, a confidence level associated with the attribute value, by evaluating a confidence function associated with the set of production rules.
    Type: Grant
    Filed: May 31, 2016
    Date of Patent: May 28, 2019
    Assignee: ABBYY PRODUCTION LLC
    Inventors: Andrey Alexandrovich Belov, Stepan Evgenjevich Matskevich
  • UTILIZING USER-VERIFIED DATA FOR TRAINING CONFIDENCE LEVEL MODELS
    Publication number: 20180181559
    Abstract: Systems and methods for utilizing user-verified data for training confidence level models.
    Type: Application
    Filed: January 27, 2017
    Publication date: June 28, 2018
    Inventors: Stepan Evgenjevich Matskevich, Andrey Alexandrovich Belov
  • DETERMINING CONFIDENCE LEVELS ASSOCIATED WITH ATTRIBUTE VALUES OF INFORMATIONAL OBJECTS
    Publication number: 20170337181
    Abstract: Systems and methods for determining confidence levels associated with attribute values of informational objects. An example method comprises: receiving a natural language text; performing syntactico-semantic analysis of the natural language text to produce a plurality of semantic structures; interpreting the plurality of semantic structures using a set of production rules to produce a plurality of data items, each data item associating an attribute value with an informational object representing an entity referenced by the natural language text; and determining, for at least one data item of the plurality of data items, a confidence level associated with the attribute value, by evaluating a confidence function associated with the set of production rules.
    Type: Application
    Filed: May 31, 2016
    Publication date: November 23, 2017
    Inventors: Andrey Alexandrovich Belov, Stepan Evgenjevich Matskevich