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11.
公开(公告)号:US20220157308A1
公开(公告)日:2022-05-19
申请号:US17587478
申请日:2022-01-28
Applicant: Google LLC
Inventor: Michael Fink , Vladimir Vuskovic , Shimon Or Salant , Deborah Cohen , Asaf Revach , David Kogan , Andrew Callahan , Richard Borovoy , Andrew Richardson , Eran Ofek , Idan Szpektor , Jonathan Berant , Yossi Matias
Abstract: Generating expanded responses that guide continuance of a human-to computer dialog that is facilitated by a client device and that is between at least one user and an automated assistant. The expanded responses are generated by the automated assistant in response to user interface input provided by the user via the client device, and are caused to be rendered to the user via the client device, as a response, by the automated assistant, to the user interface input of the user. An expanded response is generated based on at least one entity of interest determined based on the user interface input, and is generated to incorporate content related to one or more additional entities that are related to the entity of interest, but that are not explicitly referenced by the user interface input.
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公开(公告)号:US11048995B2
公开(公告)日:2021-06-29
申请号:US15847341
申请日:2017-12-19
Applicant: Google LLC
Inventor: Yariv Adan , Vladimir Vuskovic , Behshad Behzadi
Abstract: An example method includes receiving, by a computational assistant executing at one or more processors, a representation of an utterance spoken at a computing device; identifying, based on the utterance, a task to be performed by the computational assistant; responsive to determining, by the computational assistant, that complete performance of the task will take more than a threshold amount of time, outputting, for playback by one or more speakers operably connected to the computing device, synthesized voice data that informs a user of the computing device that complete performance of the task will not be immediate; and performing, by the computational assistant, the task.
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公开(公告)号:US12248755B2
公开(公告)日:2025-03-11
申请号:US18064230
申请日:2022-12-09
Applicant: Google LLC
Inventor: Joseph Lange , Henry Scott Dlhopolsky , Vladimir Vuskovic
Abstract: A method for dynamically generating training data for a model includes receiving a transcript corresponding to a conversation between a customer and an agent, the transcript comprising a customer input and an agent input. The method includes receiving a logic model including a plurality of responses, each response of the plurality of responses representing a potential reply to the customer input. The method further includes selecting, based on the agent input, a response from the plurality of responses of the logic model. The method includes determining that a similarity score between the selected response and the agent input satisfies a similarity threshold, and, based on determining that the similarity score between the selected response and the agent input satisfies the similarity threshold, training a machine learning model using the customer input and the selected response.
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公开(公告)号:US12141672B2
公开(公告)日:2024-11-12
申请号:US18367828
申请日:2023-09-13
Applicant: GOOGLE LLC
Inventor: Yariv Adan , Vladimir Vuskovic , Behshad Behzadi
IPC: G06N3/006 , G06F3/16 , G06F16/332 , G06Q10/02 , G06Q10/0631 , G10L13/00 , G10L15/22 , H04M3/493
Abstract: An example method includes receiving, by a computational assistant executing at one or more processors, a representation of an utterance spoken at a computing device; identifying, based on the utterance, a task to be performed by the computational assistant; responsive to determining, by the computational assistant, that complete performance of the task will take more than a threshold amount of time, outputting, for playback by one or more speakers operably connected to the computing device, synthesized voice data that informs a user of the computing device that complete performance of the task will not be immediate; and performing, by the computational assistant, the task.
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公开(公告)号:US11887594B2
公开(公告)日:2024-01-30
申请号:US17572293
申请日:2022-01-10
Applicant: Google LLC
Inventor: Ibrahim Badr , Zaheed Sabur , Vladimir Vuskovic , Adrian Zumbrunnen , Lucas Mirelmann
IPC: G10L15/22 , G06F16/903 , G10L15/18 , G06N3/006
CPC classification number: G10L15/22 , G06F16/90335 , G06N3/006 , G10L15/1815 , G10L15/1822 , G10L2015/223
Abstract: Methods, apparatus, and computer readable media are described related to automated assistants that proactively incorporate, into human-to-computer dialog sessions, unsolicited content of potential interest to a user. In various implementations, in an existing human-to-computer dialog session between a user and an automated assistant, it may be determined that the automated assistant has responded to all natural language input received from the user. Based on characteristic(s) of the user, information of potential interest to the user or action(s) of potential interest to the user may be identified. Unsolicited content indicative of the information of potential interest to the user or the action(s) may be generated and incorporated by the automated assistant into the existing human-to-computer dialog session. In various implementations, the incorporating may be performed in response to the determining that the automated assistant has responded to all natural language input received from the user during the human-to-computer dialog session.
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公开(公告)号:US11848009B2
公开(公告)日:2023-12-19
申请号:US17397533
申请日:2021-08-09
Applicant: GOOGLE LLC
Inventor: Gleb Skobeltsyn , Mihaly Kozsevnyikov , Vladimir Vuskovic
CPC classification number: G10L15/1815 , G06F3/167 , G06F40/30 , G10L15/1822 , G10L15/22 , G10L2015/223 , G10L2015/226
Abstract: The systems and methods of the present disclosure generally relate to a data processing system that can identify and surface alternative requests when presented with ambiguous, unclear, or other requests to which a data processing system may not be able to respond. The data processing system can improve the efficiency of network transmissions to reduce network bandwidth usage and processor utilization by selecting alternative requests that are responsive to the intent of the original request.
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17.
公开(公告)号:US20230377572A1
公开(公告)日:2023-11-23
申请号:US18231112
申请日:2023-08-07
Applicant: GOOGLE LLC
Inventor: Mugurel-Ionut Andreica , Vladimir Vuskovic , Joseph Lange , Sharon Stovezky , Marcin Nowak-Przygodzki
CPC classification number: G10L15/22 , G06N3/08 , G10L15/02 , G10L2015/223
Abstract: Implementations are set forth herein for creating an order of execution for actions that were requested by a user, via a spoken utterance to an automated assistant. The order of execution for the requested actions can be based on how each requested action can, or is predicted to, affect other requested actions. In some implementations, an order of execution for a series of actions can be determined based on an output of a machine learning model, such as a model that has been trained according to supervised learning. A particular order of execution can be selected to mitigate waste of processing, memory, and network resources—at least relative to other possible orders of execution. Using interaction data that characterizes past performances of automated assistants, certain orders of execution can be adapted over time, thereby allowing the automated assistant to learn from past interactions with one or more users.
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公开(公告)号:US20230377571A1
公开(公告)日:2023-11-23
申请号:US18230581
申请日:2023-08-04
Applicant: GOOGLE LLC
Inventor: Vladimir Vuskovic , Stephan Wenger , Zineb Ait Bahajji , Martin Baeuml , Alexandru Dovlecel , Gleb Skobeltsyn
IPC: G10L15/22 , G06F40/35 , G06F40/56 , G06F40/295 , G10L15/18
CPC classification number: G10L15/22 , G06F40/35 , G06F40/56 , G06F40/295 , G10L15/1815 , G10L15/222 , G10L2015/227
Abstract: Methods, apparatus, and computer readable media are described related to automated assistants that proactively incorporate, into human-to-computer dialog sessions, unsolicited content of potential interest to a user. In various implementations, based on content of an existing human-to-computer dialog session between a user and an automated assistant, an entity mentioned by the user or automated assistant may be identified. Fact(s)s related to the entity or to another entity that is related to the entity may be identified based on entity data contained in database(s). For each of the fact(s), a corresponding measure of potential interest to the user may be determined. Unsolicited natural language content may then be generated that includes one or more of the facts selected based on the corresponding measure(s) of potential interest. The automated assistant may then incorporate the unsolicited content into the existing human-to-computer dialog session or a subsequent human-to-computer dialog session.
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公开(公告)号:US11790207B2
公开(公告)日:2023-10-17
申请号:US17982815
申请日:2022-11-08
Applicant: GOOGLE LLC
Inventor: Yariv Adan , Vladimir Vuskovic , Behshad Behzadi
IPC: G06N3/006 , G06Q10/0631 , G10L15/22 , G06Q10/02 , G06F3/16 , G06F16/332 , G10L13/00 , H04M3/493
CPC classification number: G06N3/006 , G06F3/167 , G06F16/3329 , G06Q10/02 , G06Q10/063114 , G10L15/22 , G10L13/00 , G10L2015/223 , H04M3/4936 , H04M2203/355
Abstract: An example method includes receiving, by a computational assistant executing at one or more processors, a representation of an utterance spoken at a computing device; identifying, based on the utterance, a task to be performed by the computational assistant; responsive to determining, by the computational assistant, that complete performance of the task will take more than a threshold amount of time, outputting, for playback by one or more speakers operably connected to the computing device, synthesized voice data that informs a user of the computing device that complete performance of the task will not be immediate; and performing, by the computational assistant, the task.
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公开(公告)号:US11238857B2
公开(公告)日:2022-02-01
申请号:US16343683
申请日:2019-02-07
Applicant: Google LLC
Inventor: Gleb Skobeltsyn , Olga Kapralova , Konstantin Shagin , Vladimir Vuskovic , Yufei Zhao , Bradley Nelson , Alessio Macrí , Abraham Lee
Abstract: Implementations described herein relate to providing suggestions, via a display modality, for completing a spoken utterance for an automated assistant, in order to reduce a frequency and/or a length of time that the user will participate in a current and/or subsequent dialog session with the automated assistant. A user request can be compiled from content of an ongoing spoken utterance and content of any selected suggestion elements. When a currently compiled portion of the user request (from content of a selected suggestion(s) and an incomplete spoken utterance) is capable of being performed via the automated assistant, any actions corresponding to the currently compiled portion of the user request can be performed via the automated assistant. Furthermore, any further content resulting from performance of the actions, along with any discernible context, can be used for providing further suggestions.
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