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:
Oct. 27, 2020

Filed:

Dec. 19, 2018
Applicant:

Disney Enterprises, Inc., Burbank, CA (US);

Inventors:

Ashutosh Modi, Glendale, CA (US);

Mubbasir Kapadia, Baden, CH;

Douglas A. Fidaleo, Canyon Country, CA (US);

James R. Kennedy, Glendale, CA (US);

Wojciech Witon, Warsaw, PL;

Pierre Colombo, Paris, FR;

Assignee:

Disney Enterprises, Inc., Burbank, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G10L 25/63 (2013.01); G10L 15/22 (2006.01); G10L 15/28 (2013.01); G06N 3/04 (2006.01); G10L 15/06 (2013.01);
U.S. Cl.
CPC ...
G10L 25/63 (2013.01); G06N 3/04 (2013.01); G10L 15/063 (2013.01); G10L 15/22 (2013.01); G10L 15/28 (2013.01); G10L 2015/0635 (2013.01); G10L 2015/225 (2013.01);
Abstract

According to one implementation, an affect-driven dialog generation system includes a computing platform having a hardware processor and a system memory storing a software code including a sequence-to-sequence (seq2seq) architecture trained using a loss function having an affective regularizer term based on a difference in emotional content between a target dialog response and a dialog sequence determined by the seq2seq architecture during training. The hardware processor executes the software code to receive an input dialog sequence, and to use the seq2seq architecture to generate emotionally diverse dialog responses based on the input dialog sequence and a predetermined target emotion. The hardware processor further executes the software code to determine, using the seq2seq architecture, a final dialog sequence responsive to the input dialog sequence based on an emotional relevance of each of the emotionally diverse dialog responses, and to provide the final dialog sequence as an output.


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