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公开(公告)号：US20190197101A1
公开(公告)日：2019-06-27
申请号：US15852916
申请日：2017-12-22
Applicant: Google LLC
Inventor： Paul Roland Lambert , Timothy Youngjin Sohn , Jacqueline Amy Tsay , Gagan Bansal , Cole Austin Bevis , Kaushik Roy , Justin Tzi-jay LU , Katherine Anna Evans , Tobias Bosch , Yinan Wang , Matthew Vincent Dierker , Gregory Russell Bullock , Ettore Randazzo , Tobias Kaufmann , Yonghui Wu , Benjamin N. Lee , Xu Chen , Brian Strope , Yun-hsuan Sung , Do Kook Choe , Rami Eid Sammour Al-Rfou'
IPC: G06F17/27 , G06F3/0484 , G06N99/00
CPC classification number: G06F17/276 , G06F3/0237 , G06F3/04842 , G06F17/273 , G06F17/274 , G06F17/277 , G06F17/2785 , G06F21/6245 , G06N20/00
Abstract: A computing system is described that includes user interface components configured to receive typed user input; and one or more processors. The one or more processors are configured to: receive, by a computing system and at a first time, a first portion of text typed by a user in an electronic message being edited; predict, based on the first portion of text, a first candidate portion of text to follow the first portion of text; output, for display, the predicted first candidate portion of text for optional selection to append to the first portion of text; determine, at a second time that is after the first time, that the electronic message is directed to a sensitive topic; and responsive to determining that the electronic message is directed to a sensitive topic, refrain from outputting subsequent candidate portions of text for optional selection to append to text in the electronic message.
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公开(公告)号：US20210383221A1
公开(公告)日：2021-12-09
申请号：US17337790
申请日：2021-06-03
Applicant: Google LLC
Inventor： Ettore Randazzo , Eyvind Niklasson , Alexander Mordvintsev
Abstract: Systems and methods are directed to a computing system. The computing system can include one or more processors and a machine-learned message passing model that is end-to-end differentiable. The machine-learned message passing model can include a plurality of nodes. That each include a machine-learned backmessage generation submodel. Each of the one or more nodes can be configured to receive at least one backmessage from at least one downstream node, generate, using the machine-learned backmessage generation submodel, a multi-dimensional backmessage based on the at least one backmessage, and provide the multi-dimensional backmessage to at least one upstream node. The computing system can, for one or more iterations, update, for each of the one or more nodes, one or more parameters of the machine-learned backmessage generation submodel of the node based on a meta-learning objective function.
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公开(公告)号：US20230385543A1
公开(公告)日：2023-11-30
申请号：US18447186
申请日：2023-08-09
Applicant: Google LLC
Inventor： Paul Roland Lambert , Timothy Youngjin Sohn , Jacqueline Amy Tsay , Gagan Bansal , Cole Austin Bevis , Kaushik Roy , Justin Tzi-jay LU , Katherine Anna Evans , Tobias Bosch , Yinan Wang , Matthew Vincent Dierker , Greg Russell Bullock , Ettore Randazzo , Tobias Kaufmann , Yonghui Wu , Benjamin N. Lee , Xu Chen , Brian Strope , Yun-hsuan Sung , Do Kook Choe , Rami Eid Sammour Al-Rfou'
IPC: G06F40/274 , G06F3/04842 , G06N20/00 , G06F21/62 , G06F3/023 , G06F40/30 , G06F40/232 , G06F40/253 , G06F40/284
CPC classification number: G06F40/274 , G06F3/04842 , G06N20/00 , G06F21/6245 , G06F40/284 , G06F40/30 , G06F40/232 , G06F40/253 , G06F3/0237
Abstract: A computing system is described that includes user interface components configured to receive typed user input; and one or more processors. The one or more processors are configured to: receive, by a computing system and at a first time, a first portion of text typed by a user in an electronic message being edited; predict, based on the first portion of text, a first candidate portion of text to follow the first portion of text; output, for display, the predicted first candidate portion of text for optional selection to append to the first portion of text; determine, at a second time that is after the first time, that the electronic message is directed to a sensitive topic; and responsive to determining that the electronic message is directed to a sensitive topic, refrain from outputting subsequent candidate portions of text for optional selection to append to text in the electronic message.
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公开(公告)号：US11755834B2
公开(公告)日：2023-09-12
申请号：US15852916
申请日：2017-12-22
Applicant: Google LLC
Inventor： Paul Roland Lambert , Timothy Youngjin Sohn , Jacqueline Amy Tsay , Gagan Bansal , Cole Austin Bevis , Kaushik Roy , Justin Tzi-jay Lu , Katherine Anna Evans , Tobias Bosch , Yinan Wang , Matthew Vincent Dierker , Gregory Russell Bullock , Ettore Randazzo , Tobias Kaufmann , Yonghui Wu , Benjamin N. Lee , Xu Chen , Brian Strope , Yun-hsuan Sung , Do Kook Choe , Rami Eid Sammouf Al-Rfou'
IPC: G06F40/274 , G06F3/04842 , G06N20/00 , G06F21/62 , G06F3/023 , G06F40/30 , G06F40/232 , G06F40/253 , G06F40/284
CPC classification number: G06F40/274 , G06F3/0237 , G06F3/04842 , G06F21/6245 , G06F40/232 , G06F40/253 , G06F40/284 , G06F40/30 , G06N20/00
Abstract: A computing system is described that includes user interface components configured to receive typed user input; and one or more processors. The one or more processors are configured to: receive, by a computing system and at a first time, a first portion of text typed by a user in an electronic message being edited; predict, based on the first portion of text, a first candidate portion of text to follow the first portion of text; output, for display, the predicted first candidate portion of text for optional selection to append to the first portion of text; determine, at a second time that is after the first time, that the electronic message is directed to a sensitive topic; and responsive to determining that the electronic message is directed to a sensitive topic, refrain from outputting subsequent candidate portions of text for optional selection to append to text in the electronic message.
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