Invention Grant
- Patent Title: Generating neural network outputs using insertion commands
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Application No.: US16883772Application Date: 2020-05-26
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Publication No.: US11657277B2Publication Date: 2023-05-23
- Inventor: William Chan , Mitchell Thomas Stern , Nikita Kitaev , Kelvin Gu , Jakob D. Uszkoreit
- Applicant: Google LLC
- Applicant Address: US CA Mountain View
- Assignee: Google LLC
- Current Assignee: Google LLC
- Current Assignee Address: US CA Mountain View
- Agency: Fish & Richardson P.C.
- Main IPC: G10L25/00
- IPC: G10L25/00 ; G10L21/00 ; G06F40/30 ; G06N3/08 ; G06F40/237 ; G06N3/04 ; G06N3/084

Abstract:
Methods, systems, and apparatus, including computer programs encoded on computer storage media, for performing sequence modeling tasks using insertions. One of the methods includes receiving a system input that includes one or more source elements from a source sequence and zero or more target elements from a target sequence, wherein each source element is selected from a vocabulary of source elements and wherein each target element is selected from a vocabulary of target elements; generating a partial concatenated sequence that includes the one or more source elements from the source sequence and the zero or more target elements from the target sequence, wherein the source and target elements arranged in the partial concatenated sequence according to a combined order; and generating a final concatenated sequence that includes a finalized source sequence and a finalized target sequence, wherein the finalized target sequence includes one or more target elements.
Public/Granted literature
- US20200372356A1 GENERATING NEURAL NETWORK OUTPUTS USING INSERTION COMMANDS Public/Granted day:2020-11-26
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