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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.

Patent No.:

US 11688022 B1

PDFFull Text
Date of Patent:
Jun. 27, 2023

Filed:

Aug. 20, 2020

Semantic representations using structural ontology for assistant systems

Applicant:

Meta Platforms, Inc., Menlo Park, CA (US);

Inventors:

Armen Aghajanyan, Bellevue, WA (US);

Sonal Gupta, Sunnyvale, CA (US);

Brian Moran, Redmond, WA (US);

Theodore Frank Levin, Seattle, WA (US);

Crystal Annette Naomi Su Hua Nakatsu, San Jose, CA (US);

Daniel Difranco, Seattle, WA (US);

Jonathan David Christensen, Redmond, WA (US);

Kirk LaBuda, Seattle, WA (US);

Anuj Kumar, Santa Clara, CA (US);

Assignee:

Meta Platforms, Inc., Menlo Park, CA (US);

Attorney:

Baker Botts L.L.P.

Primary Examiner:

Eric Yen

Int. Cl.
CPC ...
G06F 40/30 (2020.01); G06F 9/54 (2006.01); G06F 40/205 (2020.01); G06F 40/242 (2020.01); G06N 3/04 (2006.01); G06N 3/08 (2006.01); G06F 16/9536 (2019.01); G10L 15/18 (2013.01); G10L 15/22 (2006.01); G10L 15/30 (2013.01); G10L 15/32 (2013.01); G06F 40/253 (2020.01); G06N 20/00 (2019.01); G06F 3/01 (2006.01); G06Q 50/00 (2012.01); G06F 16/9032 (2019.01); G06F 9/48 (2006.01); G10L 15/08 (2006.01); H04N 7/14 (2006.01); H04L 67/306 (2022.01); G06F 9/451 (2018.01); G06F 16/332 (2019.01); G06F 40/35 (2020.01); G06F 40/56 (2020.01); G06V 20/20 (2022.01); G06V 10/82 (2022.01); G06V 40/16 (2022.01); G06V 20/30 (2022.01); G06V 10/20 (2022.01); G06V 10/764 (2022.01); G06V 20/00 (2022.01); G06V 40/20 (2022.01); H04L 51/222 (2022.01); H04L 51/224 (2022.01); H04L 51/52 (2022.01); H04L 51/212 (2022.01); H04L 67/75 (2022.01); G06N 3/047 (2023.01); G06N 3/045 (2023.01); G06F 18/2321 (2023.01); G06Q 10/109 (2023.01); G10L 15/06 (2013.01); G10L 15/16 (2006.01); H04L 51/18 (2022.01); G06V 20/40 (2022.01); G06F 3/16 (2006.01);
U.S. Cl.
CPC ...
G06Q 50/01 (2013.01); G06F 3/011 (2013.01); G06F 3/013 (2013.01); G06F 9/453 (2018.02); G06F 9/485 (2013.01); G06F 9/4881 (2013.01); G06F 9/547 (2013.01); G06F 16/3329 (2019.01); G06F 16/90332 (2019.01); G06F 16/9536 (2019.01); G06F 18/2321 (2023.01); G06F 40/205 (2020.01); G06F 40/242 (2020.01); G06F 40/253 (2020.01); G06F 40/30 (2020.01); G06F 40/35 (2020.01); G06F 40/56 (2020.01); G06N 3/045 (2023.01); G06N 3/047 (2023.01); G06N 3/08 (2013.01); G06N 20/00 (2019.01); G06Q 10/109 (2013.01); G06V 10/255 (2022.01); G06V 10/764 (2022.01); G06V 10/82 (2022.01); G06V 20/00 (2022.01); G06V 20/20 (2022.01); G06V 20/30 (2022.01); G06V 40/16 (2022.01); G06V 40/25 (2022.01); G10L 15/063 (2013.01); G10L 15/08 (2013.01); G10L 15/16 (2013.01); G10L 15/1815 (2013.01); G10L 15/1822 (2013.01); G10L 15/22 (2013.01); G10L 15/30 (2013.01); G10L 15/32 (2013.01); H04L 51/18 (2013.01); H04L 51/212 (2022.05); H04L 51/222 (2022.05); H04L 51/224 (2022.05); H04L 51/52 (2022.05); H04L 67/306 (2013.01); H04L 67/75 (2022.05); H04N 7/147 (2013.01); G06F 3/017 (2013.01); G06F 3/167 (2013.01); G06V 20/41 (2022.01); G06V 40/174 (2022.01); G06V 2201/10 (2022.01); G10L 2015/088 (2013.01); G10L 2015/223 (2013.01); G10L 2015/227 (2013.01);
Abstract

In one embodiment, a method includes receiving a user input comprising a natural-language utterance by an assistant xbot from a client system associated with a user, determining a semantic representation of the user input based on a structural ontology defining a labeling syntax for parsing the natural-language utterance to semantic units comprising actions, objects, and attributes, wherein the semantic representation embeds at least one object within at least one action and declares at least one attribute of the embedded object to be acted upon, sending a request based on the semantic representation to an agent for executing a task corresponding to the user input, receiving results of the executed task mapped to a structure determined by the structural ontology from the agent, and sending from the assistant xbot to the client system instructions for presenting a response based on the results of the executed task.

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