Siri reminders found in apps
    1.
    发明授权

    公开(公告)号:US11372696B2

    公开(公告)日:2022-06-28

    申请号:US16426565

    申请日:2019-05-30

    Applicant: Apple Inc.

    Abstract: Embodiments of the present disclosure are directed to, among other things, generating reminders based on information from applications. For example, a first message may be received and a confirmation may be identified. Information that identifies an action to be performed and a trigger corresponding to the action can be detected from the first message and/or the confirmation. In some instances, a reminder may be generated based at least in part on the action and the trigger. An even corresponding to the trigger may then be detected, and the generated reminder may be presented based at least in part on the detection of the trigger.

    SIRI REMINDERS FOUND IN APPS
    2.
    发明申请

    公开(公告)号:US20200379822A1

    公开(公告)日:2020-12-03

    申请号:US16426565

    申请日:2019-05-30

    Applicant: Apple Inc.

    Abstract: Embodiments of the present disclosure are directed to, among other things, generating reminders based on information from applications. For example, a first message may be received and a confirmation may be identified. Information that identifies an action to be performed and a trigger corresponding to the action can be detected from the first message and/or the confirmation. In some instances, a reminder may be generated based at least in part on the action and the trigger. An even corresponding to the trigger may then be detected, and the generated reminder may be presented based at least in part on the detection of the trigger.

    Data driven natural language event detection and classification

    公开(公告)号:US10521466B2

    公开(公告)日:2019-12-31

    申请号:US15269721

    申请日:2016-09-19

    Applicant: Apple Inc.

    Abstract: Systems and processes for operating a digital assistant are provided. In accordance with one or more examples, a method includes, at a user device with one or more processors and memory, receiving unstructured natural language information from at least one user. The method also includes, in response to receiving the unstructured natural language information, determining whether event information is present in the unstructured natural language information. The method further includes, in accordance with a determination that event information is present within the unstructured natural language information, determining whether an agreement on an event is present in the unstructured natural language information. The method further includes, in accordance with a determination that an agreement on an event is present, determining an event type of the event and providing an event description based on the event type.

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