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:
Jul. 14, 2020

Filed:

Feb. 08, 2018
Applicant:

Semantic Machines, Inc., Newton, MA (US);

Inventors:

Jacob Daniel Andreas, Berkeley, CA (US);

David Leo Wright Hall, Berkeley, CA (US);

Daniel Klein, Orinda, CA (US);

Adam David Pauls, Berkeley, CA (US);

Assignee:

Semantic Machines, Inc., Newton, MA (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06F 16/332 (2019.01); G06F 16/335 (2019.01); G06F 40/30 (2020.01); G06F 40/56 (2020.01); G10L 15/26 (2006.01); G10L 13/04 (2013.01);
U.S. Cl.
CPC ...
G06F 16/3329 (2019.01); G06F 40/30 (2020.01); G06F 40/56 (2020.01); G06F 16/337 (2019.01); G10L 13/04 (2013.01); G10L 15/265 (2013.01);
Abstract

A system that generates natural language content. The system generates and maintains a dialogue state representation having a process view, query view, and data view. The three-view dialogue state representation is continuously updated during discourse between an agent and a user, and rules can be automatically generated based on the discourse. Upon a content generation event, an object description can be generated based on the dialogue state representation. A string is then determined from the object description, using a hybrid approach of the automatically generated rules and other rules learned from annotation and other user input. The string is translated to text or speech and output by the agent. The present system also incorporates learning techniques, for example when ranking output and processing annotation templates.


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