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:
Aug. 11, 2020

Filed:

Nov. 02, 2018
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 40/30 (2020.01); G06F 16/28 (2019.01); G06F 16/2458 (2019.01); G06N 5/04 (2006.01); G06F 40/247 (2020.01); G06F 40/295 (2020.01); G06N 20/00 (2019.01);
U.S. Cl.
CPC ...
G06F 40/30 (2020.01); G06F 16/2465 (2019.01); G06F 16/285 (2019.01); G06F 40/247 (2020.01); G06F 40/295 (2020.01); G06N 5/04 (2013.01); G06F 2216/03 (2013.01); G06N 20/00 (2019.01);
Abstract

An agent automation system includes a memory configured to store a corpus of utterances and a semantic mining framework and a processor configured to execute instructions of the semantic mining framework to cause the agent automation system to perform actions, wherein the actions include: detecting intents within the corpus of utterances; producing intent vectors for the intents within the corpus; calculating distances between the intent vectors; generating meaning clusters of intent vectors based on the distances; detecting stable ranges of cluster radius values for the meaning clusters; and generating an intent/entity model from the meaning clusters and the stable ranges of cluster radius values, wherein the agent automation system is configured to use the intent/entity model to classify intents in received natural language requests.


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