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. 06, 2025

Filed:

Dec. 15, 2022
Applicant:

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

Inventors:

Alexandros Papangelis, Pleasant Hill, CA (US);

Behnam Hedayatnia, San Francisco, CA (US);

Chao Zhao, Raleigh, NC (US);

Devamanyu Hazarika, Sunnyvale, CA (US);

Di Jin, Santa Clara, CA (US);

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

Mahdi Namazifar, Oakland, CA (US);

Seokhwan Kim, San Jose, CA (US);

Spandana Gella, Montreal, CA;

Yang Liu, Los Altos, CA (US);

Assignee:

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

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G10L 15/22 (2005.12); G10L 15/18 (2012.12);
U.S. Cl.
CPC ...
G10L 15/1815 (2012.12); G10L 15/22 (2012.12); G10L 2015/223 (2012.12);
Abstract

Techniques for generating opinion-based content responsive to a user input are described. The system may receive a user input, and determine dialog context data corresponding to a dialog between a user and the system, and including the user input. The system may determine generation of content responsive to the user input requires opinion-based knowledge, and may extract entities from the dialog context data, and determine natural language data of a knowledge base that includes entities similar to the extracted entities. The system may processes the natural language data and the dialog context data to determine a subset of the natural language data that is responsive to the user input. The system may generate output data responsive to the user input using the responsive natural language data and the dialog context.


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