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:
Nov. 15, 2022

Filed:

May. 08, 2018
Applicant:

Salesforce.com, Inc., San Francisco, CA (US);

Inventors:

Nitish Shirish Keskar, San Bruno, CA (US);

Bryan McCann, Menlo Park, CA (US);

Caiming Xiong, Mountain View, CA (US);

Richard Socher, Menlo Park, CA (US);

Assignee:

SALESFORCE.COM, INC., San Francisco, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 40/30 (2020.01); G06N 3/08 (2006.01); G06N 5/04 (2006.01); G06N 3/04 (2006.01); G06F 40/56 (2020.01); G06F 16/242 (2019.01); G06F 16/33 (2019.01); G06F 16/332 (2019.01); G06N 20/20 (2019.01); G06N 20/10 (2019.01); G06N 20/00 (2019.01);
U.S. Cl.
CPC ...
G06F 40/30 (2020.01); G06F 16/243 (2019.01); G06F 16/3329 (2019.01); G06F 16/3334 (2019.01); G06F 16/3344 (2019.01); G06F 40/56 (2020.01); G06N 3/04 (2013.01); G06N 3/0445 (2013.01); G06N 3/0454 (2013.01); G06N 3/08 (2013.01); G06N 5/04 (2013.01); G06N 20/20 (2019.01); G06N 20/00 (2019.01); G06N 20/10 (2019.01);
Abstract

Approaches for multitask learning as question answering include a method for training that includes receiving a plurality of training samples including training samples from a plurality of task types, presenting the training samples to a neural model to generate an answer, determining an error between the generated answer and the natural language ground truth answer for each training sample presented, and adjusting parameters of the neural model based on the error. Each of the training samples includes a natural language context, question, and ground truth answer. An order in which the training samples are presented to the neural model includes initially selecting the training samples according to a first training strategy and switching to selecting the training samples according to a second training strategy. In some embodiments the first training strategy is a sequential training strategy and the second training strategy is a joint training strategy.


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