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. 07, 2021

Filed:

Sep. 12, 2019
Applicant:

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

Inventors:

Quan Tran, San Jose, CA (US);

Tuan Manh Lai, San Jose, CA (US);

Trung Bui, San Jose, CA (US);

Assignee:

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

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 40/00 (2020.01); G06F 40/44 (2020.01); G06N 5/04 (2006.01); G06K 9/62 (2006.01); G06F 17/16 (2006.01); G06F 16/9032 (2019.01);
U.S. Cl.
CPC ...
G06F 40/44 (2020.01); G06F 16/90332 (2019.01); G06F 17/16 (2013.01); G06K 9/6215 (2013.01); G06N 5/04 (2013.01);
Abstract

The present disclosure relates to systems, methods, and non-transitory computer-readable media that can determine an answer to a query based on matching probabilities for combinations of respective candidate answers. For example, the disclosed systems can utilize a gated-self attention mechanism (GSAM) to interpret inputs that include contextual information, a query, and candidate answers. The disclosed systems can also utilize a memory network in tandem with the GSAM to form a gated self-attention memory network (GSAMN) to refine outputs or predictions over multiple reasoning hops. Further, the disclosed systems can utilize transfer learning of the GSAM/GSAMN from an initial training dataset to a target training dataset.


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