QUESTION AND ANSWER INTERFACE BASED ON CONTEXTUAL INFORMATION

    公开(公告)号:US20190258658A1

    公开(公告)日:2019-08-22

    申请号:US16398410

    申请日:2019-04-30

    Applicant: Google LLC

    Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for receiving data identifying contexts; selecting an initial set of questions based at least on the contexts; providing a respective representation of the questions of the initial set, for output; receiving data indicating a selection of a particular representation associated with a particular question of the initial set of questions; selecting a set of answers associated with the particular question; providing a respective representation of the answers of the set that are associated with the particular question, for output; receiving data indicating a selection of a particular representation associated with a particular answer of the set that are associated with the particular question; determining that an additional set of other questions is associated with the particular answer; and in response to the determining, providing a respective representation of the other questions of the additional set, for output.

    AUTOMATED CALL REQUESTS WITH STATUS UPDATES
    15.
    发明申请

    公开(公告)号:US20180227418A1

    公开(公告)日:2018-08-09

    申请号:US15947447

    申请日:2018-04-06

    Applicant: Google LLC

    Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, relating to synthetic call status updates. In some implementations, a method includes determining, by a task manager module, that a triggering event has occurred to provide a current status of a user call request. The method may then determine, by the task manager module, the current status of the user call request. A representation of the current status of the user call request is generated. Then, the generated representation of the current status of the user call request is provided to the user.

    Updating trained voice bot(s) utilizing example-based voice bot development techniques

    公开(公告)号:US12255856B2

    公开(公告)日:2025-03-18

    申请号:US18403401

    申请日:2024-01-03

    Applicant: GOOGLE LLC

    Abstract: Implementations are directed to updating a trained voice bot that is deployed for conducting conversations on behalf of a third-party. A third-party developer can interact with a voice bot development system that enables the third-party developer to train, update, validate, and monitor performance of the trained voice bot. In various implementations, the trained voice bot can be updated by updating a corpus of training instances that was initially utilized to train the voice bot, and updating the trained voice bot based on the updated corpus. In some implementations, the corpus of training instances may be updated in response to identifying occurrence(s) of behavioral error(s) of the trained voice bot while the conversations are being conducted on behalf of the third-party. In additional or alternative implementations, the corpus of training instances may be updated in response to determining the trained voice bot does not include a desired behavior.

    EXAMPLE-BASED VOICE BOT DEVELOPMENT TECHNIQUES

    公开(公告)号:US20250061890A1

    公开(公告)日:2025-02-20

    申请号:US18936314

    申请日:2024-11-04

    Applicant: GOOGLE LLC

    Abstract: Implementations are directed to providing a voice bot development platform that enables a third-party developer to train a voice bot based on training instance(s). The training instance(s) can each include training input and training output. The training input can include a portion of a corresponding conversation and a prior context of the corresponding conversation. The training output can include a corresponding ground truth response to the portion of the corresponding conversation. Subsequent to training, the voice bot can be deployed for conducting conversations on behalf of a third-party. In some implementations, the voice bot is further trained based on a corresponding feature emphasis input that attentions the voice bot to a particular feature of the portion of the corresponding conversation. In some additional or alternative implementations, the voice bot is further trained to interact with third-party system(s) via remote procedure calls (RPCs).

    UNSTRUCTURED DESCRIPTION-BASED CHATBOT DEVELOPMENT TECHNIQUES

    公开(公告)号:US20240185834A1

    公开(公告)日:2024-06-06

    申请号:US18074799

    申请日:2022-12-05

    Applicant: GOOGLE LLC

    CPC classification number: G10L13/08 G10L15/22 G10L2015/221 G10L2015/223

    Abstract: Implementations are directed to receiving unstructured free-form natural language input, generating a chatbot based on the unstructured free-form natural language input and in response to receiving the unstructured free-form natural language input, and causing the chatbot to perform task(s) associated with an entity and on behalf of the user. In various implementations, the unstructured free-form natural language input conveys details of the task(s) to be performed, but does not define any corresponding dialog state map (e.g., does not define any dialog states or any dialog state transitions). Nonetheless, the unstructured free-form natural language input may be utilized to fine-tune and/or prime a machine learning model that is already capable of being utilized in conducting generalized conversations. As a result, the chatbot can be generated and deployed in a quick and efficient manner for performance of the task(s) on behalf of the user.

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