Invention Grant
- Patent Title: Skimming text using recurrent neural networks
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Application No.: US16508066Application Date: 2019-07-10
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Publication No.: US10679006B2Publication Date: 2020-06-09
- Inventor: Quoc V. Le , Hongrae Lee , Wei Yu
- 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: G06F40/284
- IPC: G06F40/284 ; G06N3/08 ; G06F40/289 ; G06N3/04

Abstract:
Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for processing sequential data. In one aspect, a computer-implemented method includes receiving a request to generate a system output for an input data sequence, the input data sequence including a plurality of tokens. One or more tokens may be designated as tokens to be skipped. When a token has not been designated as a token to be skipped, the token is processed using a recurrent neural network to update a current internal state of the recurrent neural network. The system output is generated from the final internal state of the recurrent neural network.
Public/Granted literature
- US20190340236A1 PROCESSING SEQUENTIAL DATA USING RECURRENT NEURAL NETWORKS Public/Granted day:2019-11-07
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