The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Dec. 12, 2023

Filed:

Aug. 17, 2020
Applicant:

Google Llc, Mountain View, CA (US);

Inventors:

Brian Strope, Palo Alto, CA (US);

Yun-hsuan Sung, Mountain View, CA (US);

Wangqing Yuan, Wilmington, MA (US);

Assignee:

GOOGLE LLC, Mountain View, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06N 20/00 (2019.01); G06F 16/35 (2019.01); G06F 16/332 (2019.01); G06F 16/33 (2019.01); G06N 5/04 (2023.01);
U.S. Cl.
CPC ...
G06N 20/00 (2019.01); G06F 16/3329 (2019.01); G06F 16/3344 (2019.01); G06F 16/3346 (2019.01); G06F 16/35 (2019.01); G06N 5/04 (2013.01);
Abstract

Systems, methods, and computer readable media related to: training an encoder model that can be utilized to determine semantic similarity of a natural language textual string to each of one or more additional natural language textual strings (directly and/or indirectly); and/or using a trained encoder model to determine one or more responsive actions to perform in response to a natural language query. The encoder model is a machine learning model, such as a neural network model. In some implementations of training the encoder model, the encoder model is trained as part of a larger network architecture trained based on one or more tasks that are distinct from a 'semantic textual similarity' task for which the encoder model can be used.


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