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. 16, 2026

Filed:

Apr. 28, 2021
Applicant:

Leela Ai, Inc., Newtonville, MA (US);

Inventors:

Cyrus Shaoul, Dummerston, VT (US);

Henry Bowdoin Minsky, Newton, MA (US);

Milan Singh Minsky, Newton, MA (US);

Max Carlson, Tallin, EE;

Assignee:
Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G06F 40/35 (2020.01); G06F 11/30 (2006.01); G06F 16/22 (2019.01); G06F 16/2458 (2019.01); G06F 18/20 (2023.01); G06F 18/211 (2023.01); G06F 40/279 (2020.01); G06N 3/04 (2023.01); G06N 3/08 (2023.01); G06N 5/02 (2023.01); G06N 5/025 (2023.01); G06V 10/70 (2022.01); G06V 10/82 (2022.01); G06V 20/40 (2022.01);
U.S. Cl.
CPC ...
G06F 40/35 (2020.01); G06F 11/3075 (2013.01); G06F 16/2237 (2019.01); G06F 16/2477 (2019.01); G06F 18/211 (2023.01); G06F 18/29 (2023.01); G06F 40/279 (2020.01); G06N 3/04 (2013.01); G06N 3/08 (2013.01); G06N 5/02 (2013.01); G06N 5/025 (2013.01); G06V 10/70 (2022.01); G06V 10/82 (2022.01); G06V 20/41 (2022.01); G06V 20/44 (2022.01); G06T 2207/20081 (2013.01);
Abstract

A natural language understanding (NLU) system utilizes a knowledge network having interconnected actor perceiver predictor (APP) nodes associated with context, action, and result. For a received utterance, an utterance type is determined, and an input message is generated based on the utterance type. The input message includes word-concept groupings, which include words of the received utterance and concept tags associated with the words. An action type is determined based on the utterance type. The knowledge network is searched to locate a subset of the APP nodes that exceed a threshold connection weight and thereby discriminate the word-concept groupings from other word-concept groupings represented by nodes of the network. Metadata for the word-concept groupings is retrieved from the subset of the APP nodes, and a response to the received utterance is generated by incorporating the metadata into a response template.


Find Patent Forward Citations

Shaoul, Cyrus. (2026). Natural language system and methods (U.S. Patent No. 12657394). U.S. Patent and Trademark Office. https://idiyas.com/patent/badge/12657394

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

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