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:
May. 07, 2024

Filed:

Dec. 11, 2020
Applicant:

Amazon Technologies, Inc., Seattle, WA (US);

Inventors:

Govindarajan Sundaram Thattai, Fremont, CA (US);

Qing Ping, Santa Clara, CA (US);

Feiyang Niu, Hayward, CA (US);

Joel Joseph Chengottusseriyil, San Jose, CA (US);

Prashanth Rajagopal, San Mateo, CA (US);

Qiaozi Gao, San Mateo, CA (US);

Aishwarya Naresh Reganti, San Jose, CA (US);

Gokhan Tur, Los Altos, CA (US);

Dilek Hakkani-Tur, Los Altos, CA (US);

Rohit Prasad, Lexington, MA (US);

Premkumar Natarajan, Rolling Hills Estates, CA (US);

Assignee:

Amazon Technologies, Inc., Seattle, WA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G10L 15/00 (2013.01); G06F 16/22 (2019.01); G06F 21/62 (2013.01); G10L 15/18 (2013.01); G10L 15/22 (2006.01); G10L 15/30 (2013.01); G10L 15/183 (2013.01); G10L 15/19 (2013.01);
U.S. Cl.
CPC ...
G10L 15/1815 (2013.01); G06F 16/22 (2019.01); G06F 21/6218 (2013.01); G10L 15/22 (2013.01); G10L 15/30 (2013.01); G10L 15/1822 (2013.01); G10L 15/183 (2013.01); G10L 15/19 (2013.01); G10L 2015/223 (2013.01);
Abstract

Devices and techniques are generally described for learning personalized concepts for natural language processing. In various examples, a first natural language input may be received. In some examples, a determination may be made that the first natural language input comprises non-actionable slot data. A dialog session may be initiated with the user. In some examples, first slot data that is indicated by the user during the dialog session may be determined. In various examples, data representing the first slot data may be stored in a database in association with the first natural language input.


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