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:
Dec. 03, 2019

Filed:

Jan. 02, 2019
Applicant:

Servicenow, Inc., Santa Clara, CA (US);

Inventors:

Edwin Sapugay, Foster City, CA (US);

Anil Kumar Madamala, Sunnyvale, CA (US);

Maxim Naboka, Santa Clara, CA (US);

Srinivas SatyaSai Sunkara, Sunnyvale, CA (US);

Lewis Savio Landry Santos, Santa Clara, CA (US);

Murali B. Subbarao, Saratoga, CA (US);

Assignee:

ServiceNow, Inc., Santa Clara, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 17/27 (2006.01); G10L 15/18 (2013.01); G06N 20/00 (2019.01); G10L 15/22 (2006.01);
U.S. Cl.
CPC ...
G10L 15/1822 (2013.01); G06F 17/271 (2013.01); G06N 20/00 (2019.01); G10L 15/22 (2013.01); G10L 2015/225 (2013.01);
Abstract

An agent automation system includes a memory configured to store a natural language understanding (NLU) framework, and a processor configured to perform actions, including: generating a meaning representation from an annotated utterance tree of an utterance, wherein a structure of the meaning representation indicates a syntactic structure of the utterance and one or more subtree vectors of the meaning representation indicate a semantic meaning of one or more intent subtrees of the meaning representation; searching the meaning representation of the utterance against an understanding model to extract intents/entities of the utterance based on the one or more subtree vectors of the meaning representation, wherein the understanding model includes a plurality of meaning representations derived from the intent/entity model; and providing the intents/entities of the utterance to a reasoning agent/behavior engine (RA/BE) of the agent automation system that performs one or more actions in response to the intents/entities of the utterance.


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