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:
Sep. 14, 2021

Filed:

Nov. 02, 2020
Applicant:

Adobe Inc., San Jose, CA (US);

Inventors:

Quan Tran, Melbourne, AU;

Trung Bui, San Jose, CA (US);

Hung Bui, Sunnyvale, CA (US);

Assignee:

Adobe Inc., San Jose, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G10L 15/22 (2006.01); G10L 15/16 (2006.01); G06N 3/10 (2006.01); G06N 3/04 (2006.01); G10L 15/30 (2013.01);
U.S. Cl.
CPC ...
G10L 15/22 (2013.01); G06N 3/0481 (2013.01); G06N 3/10 (2013.01); G10L 15/16 (2013.01); G10L 15/30 (2013.01);
Abstract

The present disclosure relates to systems, methods, and non-transitory computer readable media for generating dialogue responses based on received utterances utilizing an independent gate context-dependent additive recurrent neural network. For example, the disclosed systems can utilize a neural network model to generate a dialogue history vector based on received utterances and can use the dialogue history vector to generate a dialogue response. The independent gate context-dependent additive recurrent neural network can remove local context to reduce computation complexity and allow for gates at all time steps to be computed in parallel. The independent gate context-dependent additive recurrent neural network maintains the sequential nature of a recurrent neural network using the hidden vector output.


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