Patent · US Active

Data augmentation using machine translation capabilities of language models

US12354011B2 · kind B2 · utility

0Cited by

0References

16Claims

0Family size

Assignee

Verizon Patent and Licensing Inc. · US

Inventors

Subham Biswas · Ashti, IN
Saurabh Tahiliani · Noida, IN

Key dates

Filing date	Aug 11, 2021
Grant date	Jul 8, 2025
Priority date	—
Expiry date	Apr 10, 2044

Classification

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

Abstract

Disclosed are embodiments for improving training data for machine learning (ML) models. In an embodiment, a method is disclosed where an augmentation engine receives a seed example, the seed example stored in a seed training data set; generates an encoded seed example of the seed example using an encoder; inputs the encoded seed example into a machine learning model and receives a candidate example generated by the machine learning model; determines that the candidate example is similar to the encoded seed example; and augments the seed training data set with the candidate example.

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