Patent · US Active

Systems and methods for labeling source data using confidence labels

US9704106B2 · kind B2 · utility

6Cited by
15References
20Claims
0Family size

Assignee

Inventors

Key dates

Filing dateMay 27, 2016
Grant dateJul 11, 2017
Priority date
Expiry dateMay 27, 2036

Classification

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

Abstract

Systems and methods for the annotation of source data using confidence labels in accordance embodiments of the invention are disclosed. In one embodiment of the invention, a method for determining confidence labels for crowdsourced annotations includes obtaining a set of source data, obtaining a set of training data representative of the set of source data, determining the ground truth for each piece of training data, obtaining a set of training data annotations including a confidence label, measuring annotator accuracy data for at least one piece of training data, and automatically generating a set of confidence labels for the set of unlabeled data based on the measured annotator accuracy data and the set of annotator labels used.

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