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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 10853103 B1

PDFFull Text
Date of Patent:
Dec. 01, 2020

Filed:

Oct. 02, 2018

Contextual auto-completion for assistant systems

Applicant:

Facebook, Inc., Menlo Park, CA (US);

Inventors:

Jiedan Zhu, Los Altos, CA (US);

Fuchun Peng, Cupertino, CA (US);

Benoit F. Dumoulin, Palo Alto, CA (US);

Xiaohu Liu, Bellevue, WA (US);

Rajen Subba, San Carlos, CA (US);

Mohsen Agsen, Redwood City, CA (US);

Michael Robert Hanson, Los Altos, CA (US);

Assignee:

Facebook, Inc., Menlo Park, CA (US);

Attorney:

Baker Botts L.L.P.

Primary Examiner:

Jay A Morrison

Int. Cl.
CPC ...
G06F 9/451 (2018.01); G06F 16/338 (2019.01); G06F 16/332 (2019.01); G06F 16/33 (2019.01); G06F 16/9535 (2019.01); G10L 15/18 (2013.01); G10L 15/183 (2013.01); G10L 15/22 (2006.01); G06N 20/00 (2019.01); G06Q 50/00 (2012.01); H04L 29/08 (2006.01); 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 12/58 (2006.01); G06F 3/16 (2006.01); G06K 9/00 (2006.01); G06K 9/62 (2006.01); G06N 3/08 (2006.01); 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); G10L 13/04 (2013.01);
U.S. Cl.
CPC ...
G06F 9/453 (2018.02); G06F 3/011 (2013.01); G06F 3/017 (2013.01); G06F 3/167 (2013.01); G06F 16/176 (2019.01); G06F 16/24575 (2019.01); G06F 16/338 (2019.01); G06F 16/3323 (2019.01); G06F 16/3344 (2019.01); G06F 16/904 (2019.01); G06F 16/9038 (2019.01); G06F 16/90332 (2019.01); G06F 16/9535 (2019.01); G06F 40/30 (2020.01); G06F 40/40 (2020.01); G06K 9/00355 (2013.01); G06K 9/00664 (2013.01); G06K 9/6269 (2013.01); G06N 3/08 (2013.01); G06N 20/00 (2019.01); G06Q 50/01 (2013.01); G10L 15/063 (2013.01); G10L 15/16 (2013.01); G10L 15/183 (2013.01); G10L 15/1815 (2013.01); G10L 15/1822 (2013.01); G10L 15/22 (2013.01); G10L 15/26 (2013.01); H04L 51/02 (2013.01); H04L 67/22 (2013.01); H04L 67/306 (2013.01); G10L 13/043 (2013.01); G10L 2015/223 (2013.01); H04L 51/046 (2013.01); H04L 67/10 (2013.01); H04L 67/20 (2013.01);
Abstract

In one embodiment, a method includes receiving a user input including a partial request from a client system of a first user, analyzing the user input to generate one or more candidate hypotheses based on a personalized language model where each of the candidate hypotheses includes one or more of an intent-suggestion or a slot-suggestion, sending instructions for presenting one or more suggested auto-completions corresponding to one or more of the candidate hypotheses, respectively, to the client system, where each suggested auto-completion comprises the partial request and the corresponding candidate hypothesis, receiving an indication of a selection by the first user of a first suggested auto-completion of the suggested auto-completions from the client system, and executing one or more tasks based on the first suggested auto-completion selected by the first user via one or more agents.

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