Delayed responses by computational assistant

    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

    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.

    Building bots from raw logs and computing coverage of business logic graph

    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

    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.

    Delayed responses by computational assistant

    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

    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.

    Proactive incorporation of unsolicited content into human-to-computer dialogs

    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

    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.

    ORCHESTRATING EXECUTION OF A SERIES OF ACTIONS REQUESTED TO BE PERFORMED VIA AN AUTOMATED ASSISTANT

    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

    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.

    Supplementing voice inputs to an automated assistant according to selected suggestions

    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

    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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