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公开(公告)号：US11249993B2
公开(公告)日：2022-02-15
申请号：US16881899
申请日：2020-05-22
申请人： Google LLC
IPC分类号： G06F16/00 , G06F16/2452 , G06F16/245 , G06F16/951 , G06F16/2457
摘要： In one aspect, a method includes receiving a query determined to be a question query that seeks an answer response and data identifying resources determined to be responsive to the query; identifying structured content set in a top-ranked subset of the resources, each structured content set being content arranged according to related attributes in one of the resources; for each identified structured content set, determining whether the query matches the structured content set based on terms of the query matching related attributes of the structured content set; selecting one of the structured content sets for which the query is determined to match; generating, from the selected structured content set, a structured fact set from the related attributes that matched the terms of the query; and providing the structured fact set with search results that identify the resources determined to be responsive to the query.
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公开(公告)号：US20200265191A1
公开(公告)日：2020-08-20
申请号：US16865747
申请日：2020-05-04
申请人： Google LLC
发明人： Quoc V. Le , Hongrae Lee , Wei Yu
IPC分类号： G06F40/284 , G06N3/08 , G06N3/04
摘要： 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.
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公开(公告)号：US10698888B1
公开(公告)日：2020-06-30
申请号：US15881315
申请日：2018-01-26
申请人： Google LLC
IPC分类号： G06F16/00 , G06F16/2452 , G06F16/245 , G06F16/951 , G06F16/2457
摘要： In one aspect, a method includes receiving a query determined to be a question query that seeks an answer response and data identifying resources determined to be responsive to the query; identifying structured content set in a top-ranked subset of the resources, each structured content set being content arranged according to related attributes in one of the resources; for each identified structured content set, determining whether the query matches the structured content set based on terms of the query matching related attributes of the structured content set; selecting one of the structured content sets for which the query is determined to match; generating, from the selected structured content set, a structured fact set from the related attributes that matched the terms of the query; and providing the structured fact set with search results that identify the resources determined to be responsive to the query.
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公开(公告)号：US10679006B2
公开(公告)日：2020-06-09
申请号：US16508066
申请日：2019-07-10
申请人： Google LLC
发明人： Quoc V. Le , Hongrae Lee , Wei Yu
IPC分类号： G06F40/284 , G06N3/08 , G06F40/289 , G06N3/04
摘要： 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.
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公开(公告)号：US20190340236A1
公开(公告)日：2019-11-07
申请号：US16508066
申请日：2019-07-10
申请人： Google LLC
发明人： Quoc V. Le , Hongrae Lee , Wei Yu
摘要： 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.
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公开(公告)号：US20240119047A1
公开(公告)日：2024-04-11
申请号：US18487361
申请日：2023-10-16
申请人： GOOGLE LLC
IPC分类号： G06F16/2452 , G06F16/245 , G06F16/2457 , G06F16/951
CPC分类号： G06F16/24522 , G06F16/245 , G06F16/24578 , G06F16/951
摘要： In one aspect, a method includes receiving a query determined to be a question query that seeks an answer response and data identifying resources determined to be responsive to the query; identifying structured content set in a top-ranked subset of the resources, each structured content set being content arranged according to related attributes in one of the resources; for each identified structured content set, determining whether the query matches the structured content set based on terms of the query matching related attributes of the structured content set; selecting one of the structured content sets for which the query is determined to match; generating, from the selected structured content set, a structured fact set from the related attributes that matched the terms of the query; and providing the structured fact set with search results that identify the resources determined to be responsive to the query.
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公开(公告)号：US11789946B2
公开(公告)日：2023-10-17
申请号：US17650939
申请日：2022-02-14
申请人： GOOGLE LLC
IPC分类号： G06F16/00 , G06F16/2452 , G06F16/245 , G06F16/951 , G06F16/2457
CPC分类号： G06F16/24522 , G06F16/245 , G06F16/24578 , G06F16/951
摘要： In one aspect, a method includes receiving a query determined to be a question query that seeks an answer response and data identifying resources determined to be responsive to the query; identifying structured content set in a top-ranked subset of the resources, each structured content set being content arranged according to related attributes in one of the resources; for each identified structured content set, determining whether the query matches the structured content set based on terms of the query matching related attributes of the structured content set; selecting one of the structured content sets for which the query is determined to match; generating, from the selected structured content set, a structured fact set from the related attributes that matched the terms of the query; and providing the structured fact set with search results that identify the resources determined to be responsive to the query.
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公开(公告)号：US20220171779A1
公开(公告)日：2022-06-02
申请号：US17650939
申请日：2022-02-14
申请人： GOOGLE LLC
IPC分类号： G06F16/2452 , G06F16/245 , G06F16/951 , G06F16/2457
摘要： In one aspect, a method includes receiving a query determined to be a question query that seeks an answer response and data identifying resources determined to be responsive to the query; identifying structured content set in a top-ranked subset of the resources, each structured content set being content arranged according to related attributes in one of the resources; for each identified structured content set, determining whether the query matches the structured content set based on terms of the query matching related attributes of the structured content set; selecting one of the structured content sets for which the query is determined to match; generating, from the selected structured content set, a structured fact set from the related attributes that matched the terms of the query; and providing the structured fact set with search results that identify the resources determined to be responsive to the query.
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公开(公告)号：US11048875B2
公开(公告)日：2021-06-29
申请号：US16865747
申请日：2020-05-04
申请人： Google LLC
发明人： Quoc V. Le , Hongrae Lee , Wei Yu
IPC分类号： G06F40/30 , G06F40/284 , G06N3/04 , G06N3/08 , G06F40/289
摘要： 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.
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公开(公告)号：US20200293529A1
公开(公告)日：2020-09-17
申请号：US16881899
申请日：2020-05-22
申请人： Google LLC
IPC分类号： G06F16/2452 , G06F16/951 , G06F16/2457 , G06F16/245
摘要： In one aspect, a method includes receiving a query determined to be a question query that seeks an answer response and data identifying resources determined to be responsive to the query; identifying structured content set in a top-ranked subset of the resources, each structured content set being content arranged according to related attributes in one of the resources; for each identified structured content set, determining whether the query matches the structured content set based on terms of the query matching related attributes of the structured content set; selecting one of the structured content sets for which the query is determined to match; generating, from the selected structured content set, a structured fact set from the related attributes that matched the terms of the query; and providing the structured fact set with search results that identify the resources determined to be responsive to the query.
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