US 11,704,900 B2
Predictive injection of conversation fillers for assistant systems
Emmanouil Koukoumidis, Kirkland, WA (US); Michael Robert Hanson, Los Altos, CA (US); and Mohsen M Agsen, Honolulu, HI (US)
Assigned to Meta Platforms, Inc., Menlo Park, CA (US)
Filed by Meta Platforms, Inc., Menlo Park, CA (US)
Filed on Feb. 7, 2022, as Appl. No. 17/666,439.
Application 17/666,439 is a continuation of application No. 16/192,538, filed on Nov. 15, 2018, granted, now 11,245,646.
Claims priority of provisional application 62/660,876, filed on Apr. 20, 2018.
Prior Publication US 2022/0166733 A1, May 26, 2022
This patent is subject to a terminal disclaimer.
Int. Cl. H04L 51/046 (2022.01); G10L 13/00 (2006.01); G10L 13/04 (2013.01); H04L 67/53 (2022.01); G06V 10/82 (2022.01); G06F 9/451 (2018.01); G10L 15/18 (2013.01); G10L 15/183 (2013.01); G10L 15/22 (2006.01); G06F 16/338 (2019.01); G06F 16/332 (2019.01); G06F 16/33 (2019.01); G06N 20/00 (2019.01); G06F 16/9535 (2019.01); G06Q 50/00 (2012.01); H04L 67/306 (2022.01); G06F 16/176 (2019.01); G10L 15/06 (2013.01); G10L 15/16 (2006.01); G06F 3/01 (2006.01); G06F 16/9032 (2019.01); G06F 16/2457 (2019.01); H04L 51/02 (2022.01); G06F 3/16 (2006.01); G06N 3/08 (2023.01); G10L 15/26 (2006.01); G06F 16/9038 (2019.01); G06F 16/904 (2019.01); G06F 40/30 (2020.01); G06F 40/40 (2020.01); G06F 16/22 (2019.01); G06F 16/23 (2019.01); G06F 7/14 (2006.01); H04L 43/0882 (2022.01); H04L 43/0894 (2022.01); H04L 12/28 (2006.01); H04L 41/00 (2022.01); H04L 41/22 (2022.01); H04W 12/08 (2021.01); G10L 15/07 (2013.01); G10L 17/22 (2013.01); G06N 3/006 (2023.01); G10L 17/06 (2013.01); G06F 16/248 (2019.01); G06F 16/951 (2019.01); G06F 16/242 (2019.01); G06F 16/2455 (2019.01); G10L 15/02 (2006.01); G10L 15/187 (2013.01); G06V 20/10 (2022.01); G06V 40/20 (2022.01); G06F 40/295 (2020.01); H04L 51/52 (2022.01); H04L 51/216 (2022.01); H04L 67/50 (2022.01); H04L 67/5651 (2022.01); H04L 51/18 (2022.01); H04L 67/75 (2022.01); G06F 16/903 (2019.01); G06F 40/205 (2020.01); G06F 18/2411 (2023.01); G06N 7/01 (2023.01); G06V 10/764 (2022.01); H04L 67/10 (2022.01)
CPC G06V 10/82 (2022.01) [G06F 3/011 (2013.01); G06F 3/013 (2013.01); G06F 3/017 (2013.01); G06F 3/167 (2013.01); G06F 7/14 (2013.01); G06F 9/453 (2018.02); G06F 16/176 (2019.01); G06F 16/2255 (2019.01); G06F 16/2365 (2019.01); G06F 16/243 (2019.01); G06F 16/248 (2019.01); G06F 16/24552 (2019.01); G06F 16/24575 (2019.01); G06F 16/24578 (2019.01); G06F 16/338 (2019.01); G06F 16/3323 (2019.01); G06F 16/3329 (2019.01); G06F 16/3344 (2019.01); G06F 16/904 (2019.01); G06F 16/9038 (2019.01); G06F 16/90332 (2019.01); G06F 16/90335 (2019.01); G06F 16/951 (2019.01); G06F 16/9535 (2019.01); G06F 18/2411 (2023.01); G06F 40/205 (2020.01); G06F 40/295 (2020.01); G06F 40/30 (2020.01); G06F 40/40 (2020.01); G06N 3/006 (2013.01); G06N 3/08 (2013.01); G06N 7/01 (2023.01); G06N 20/00 (2019.01); G06Q 50/01 (2013.01); G06V 10/764 (2022.01); G06V 20/10 (2022.01); G06V 40/28 (2022.01); G10L 15/02 (2013.01); G10L 15/063 (2013.01); G10L 15/07 (2013.01); G10L 15/16 (2013.01); G10L 15/183 (2013.01); G10L 15/187 (2013.01); G10L 15/1815 (2013.01); G10L 15/1822 (2013.01); G10L 15/22 (2013.01); G10L 15/26 (2013.01); G10L 17/06 (2013.01); G10L 17/22 (2013.01); H04L 12/2816 (2013.01); H04L 41/20 (2013.01); H04L 41/22 (2013.01); H04L 43/0882 (2013.01); H04L 43/0894 (2013.01); H04L 51/02 (2013.01); H04L 51/18 (2013.01); H04L 51/216 (2022.05); H04L 51/52 (2022.05); H04L 67/306 (2013.01); H04L 67/535 (2022.05); H04L 67/5651 (2022.05); H04L 67/75 (2022.05); H04W 12/08 (2013.01); G06F 2216/13 (2013.01); G10L 13/00 (2013.01); G10L 13/04 (2013.01); G10L 2015/223 (2013.01); G10L 2015/225 (2013.01); H04L 51/046 (2013.01); H04L 67/10 (2013.01); H04L 67/53 (2022.05)] 18 Claims
OG exemplary drawing
 
1. A method comprising, by a client system:
receiving, at the client system, a first user input;
processing, by the client system, the first user input to provide an initial response by:
identifying one or more entities referenced by the first user input; and
providing, by the client system, the initial response, wherein the initial response comprises a conversational filler referencing at least one of the one or more identified entities;
processing the first user input to provide a complete response by:
identifying, by the client system, one or more intents and one or more slots associated with the first user input based on a semantic analysis by a natural-language understanding module; and
providing, by the client system, the complete response subsequent to the initial response, wherein the complete response is based on the one or more intents and the one or more slots.