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:
Jun. 11, 2024

Filed:

Jan. 24, 2022
Applicant:

John Snow Labs, Inc., Lewes, DE (US);

Inventors:

Julio Bonis Sanz, Algete, ES;

David Talby, Mercer Island, WA (US);

Veysel Kocaman, Echt, NL;

Assignee:

John Snow Labs, Inc., Lewes, DE (US);

Attorneys:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06F 16/33 (2019.01); G06F 16/35 (2019.01); G06N 3/045 (2023.01); G06N 3/08 (2023.01);
U.S. Cl.
CPC ...
G06F 16/3344 (2019.01); G06F 16/3347 (2019.01); G06F 16/355 (2019.01); G06N 3/045 (2023.01); G06N 3/08 (2013.01);
Abstract

Techniques are described for performing automated operations related to identifying and using repair and maintenance information, such as summarizing and encoding such information for a number of problems, identifying specific repair or maintenance instructions in response to natural language queries, and using the identified instructions in further automated manners in some situations (e.g., to automatically initiate repair or maintenance actions on a particular target computing device). Identifying of specific instructions in response to a particular natural language query may include initially identifying a group of candidate groups of content that satisfy a defined similarity threshold to an encoded version of the natural language query, providing and using a trained validation model to evaluate each candidate content group and validate if it includes a responsive answer to the natural language query, and then further analyzing one or more validated candidate content groups to determine the actual responsive answer.


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