Patent · US Active

Using serial machine learning models to extract data from electronic documents

US11594057B1 · kind B1 · utility

0Cited by

9References

21Claims

0Family size

Assignee

States Title, LLC · US

Inventors

Allen Ko · Evansville, US
Daniel Faddoul · San Francisco, US
Andy Mahdavi · San Francisco, US

Key dates

Filing date	May 4, 2022
Grant date	Feb 28, 2023
Priority date	—
Expiry date	May 4, 2042

Classification

Technology area (CPC G)Physics
CPC primaryG06V30/18057
WIPO fieldComputer technology
WIPO sectorElectrical engineering

Abstract

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for machine learning. One of the methods includes receiving a document having a plurality of first text strings; extracting the plurality of first text strings from the document; providing the extracted plurality of first text strings to a first machine learning model, wherein the first machine learning model is trained to output a numerical vector representation for each input first text string; providing the output vector representations from the first machine learning model to a second machine learning model, wherein the second machine learning model is trained to output a second text string for each input vector representation; and processing the second text strings to generate an output.

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