Patent · US Active

Systems and methods for adaptive training of a machine learning system processing textual data

US11797849B2 · kind B2 · utility

0Cited by
13References
20Claims
0Family size

Assignee

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Key dates

Filing dateSep 12, 2022
Grant dateOct 24, 2023
Priority date
Expiry dateSep 12, 2042

Classification

  • Technology area (CPC G)Physics
  • CPC primaryG06N20/00
  • WIPO fieldComputer technology
  • WIPO sectorElectrical engineering

Abstract

In one embodiment, a method for adaptive training of a machine learning system configured to predict answers to questions associated with textual data includes receiving predicted answers to questions associated with textual data. The predicted answers are generated based at least in part on one or more first models of a machine learning system. The one or more first models are associated with a first accuracy score. The method further includes determining based at least in part on a quality control parameter whether an evaluation of the questions by one or more external entities is required. In response to determining based at least in part on the quality control parameter that an evaluation of the questions by one or more external entities is required, the questions associated with the textual data and the textual data are sent to the one or more external entities for evaluation.

Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.