Patent · US Active

Generating vector representations of documents

US10803380B2 · kind B2 · utility

5Cited by

2References

18Claims

0Family size

Assignee

Google LLC · US

Inventors

Andrew M. Dai · San Francisco, US
Quoc V. Le · Stanford, US
Gregory Sean Corrado · San Francisco, US

Key dates

Filing date	Sep 12, 2016
Grant date	Oct 13, 2020
Priority date	—
Expiry date	Jul 4, 2038

Classification

Technology area (CPC G)Physics
CPC primaryG06N20/10
WIPO fieldComputer technology
WIPO sectorElectrical engineering

Abstract

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for generating document vector representations. One of the methods includes obtaining a new document; selecting a plurality of new document word sets; and determining a vector representation for the new document using a trained neural network system, wherein the trained neural network system comprises: a document embedding layer and a classifier, and wherein determining the vector representation for the new document using the trained neural network system comprises iteratively providing each of the plurality of new document word sets to the trained neural network system to determine the vector representation for the new document using gradient descent.

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