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:
Sep. 10, 2024

Filed:

Sep. 04, 2019
Applicant:

Google Llc, Mountain View, CA (US);

Inventors:

Dilek Hakkani-Tur, Los Altos, CA (US);

Abhinav Kumar Rastogi, Santa Clara, CA (US);

Raghav Gupta, Sunnyvale, CA (US);

Assignee:

Google LLC, Mountain View, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G10L 15/18 (2013.01); G06F 40/117 (2020.01); G06F 40/284 (2020.01); G06F 40/35 (2020.01); G06N 3/02 (2006.01); G10L 15/16 (2006.01); G10L 15/22 (2006.01);
U.S. Cl.
CPC ...
G10L 15/1815 (2013.01); G06F 40/117 (2020.01); G06F 40/284 (2020.01); G06F 40/35 (2020.01); G06N 3/02 (2013.01); G10L 15/16 (2013.01); G10L 15/22 (2013.01);
Abstract

Methods, systems, and apparatus, including computer programs encoded on computer storage media for dialogue systems. A transcription of a user utterance is obtained. The transcription of the utterance is tokenized to identify multiple tokens for the utterance. Token-level utterance encodings corresponding to different tokens of the transcription are generated. A system action encoding from data indicating system actions previously performed by the dialogue system are generated. A dialogue context vector based on the utterance encoding and the system action encoding are generated. The token-level utterance encodings, the system action encoding, and the dialogue context vector are processed using a slot tagger to produce token-level output vectors. A limited set of candidate token classifications for the tokens of the user utterance are determined based on the token-level utterance encodings. A response for output is provided in response to the user utterance.


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