Abstract: Systems and processes for operating an intelligent automated assistant are provided. For example, an intelligent automated assistant obtains a static vocabulary entry for an application and registers the static vocabulary entry to a knowledge base. While the application is running, the intelligent automated assistant receives a request from the application to register a dynamic vocabulary entry, and also registers the dynamic vocabulary entry. Upon receiving a user input, the intelligent automated assistant determines whether a matching vocabulary entry for the application has been registered and causes the application to perform a task based on the matching vocabulary entry.

Abstract: Systems and processes for operating an intelligent automated assistant are provided. For example, an intelligent automated assistant obtains a static vocabulary entry for an application and registers the static vocabulary entry to a knowledge base. While the application is running, the intelligent automated assistant receives a request from the application to register a dynamic vocabulary entry, and also registers the dynamic vocabulary entry. Upon receiving a user input, the intelligent automated assistant determines whether a matching vocabulary entry for the application has been registered and causes the application to perform a task based on the matching vocabulary entry.

Abstract: This relates generally to intelligent automated assistants and, more specifically, to provide a handsfree notification management system. An example method includes displaying one or more notifications by the electronic device. In response to displaying the one or more notifications, the method includes detecting a visual interaction of a user with the one or more notifications, identifying a notification from the one or more notifications based on the visual interaction, receiving a speech input related to the notification from the user, determining one or more actions associated with the notification based on the speech input, and performing the one or more actions.

Abstract: Systems and processes for using display representations are provided. For example, at a first time, a first plurality of objects is displayed, and a first plurality of relationships associated with the first plurality of objects is identified. A display representation is obtained, including a plurality of first object representations as displayed at the first time and a plurality of first relationship representation as identified as the first time. At a second time, an input is received from the user. In response to receiving the input from the user, the display representation is retrieved, the retrieved display representation including a plurality of second object representations corresponding to a second plurality of displayed object as displayed at the second time and a plurality of second relationship representations as identified at the second time. An output responsive to the input is provided based on the retrieved display representation.

Abstract: Systems and processes for providing multi-turn canned dialog are provided. An example method includes, at an electronic device, receiving a natural-language input; determining whether the natural-language input satisfies dialog criteria for multi-turn canned dialog; in accordance with a determination that the natural-language input satisfies the dialog criteria for multi-turn canned dialog: identifying a natural-language output of the multi-turn canned dialog corresponding to the natural-language input; and outputting the natural-language output; and in accordance with a determination that the natural-language input does not satisfy the dialog criteria for multi-turn canned dialog: identifying a task associated with the natural-language input; and performing the task associated with the natural-language input.

Abstract: Systems and processes for providing multi-turn canned dialog are provided. An example method includes, at an electronic device, receiving a natural-language input; determining whether the natural-language input satisfies dialog criteria for multi-turn canned dialog; in accordance with a determination that the natural-language input satisfies the dialog criteria for multi-turn canned dialog: identifying a natural-language output of the multi-turn canned dialog corresponding to the natural-language input; and outputting the natural-language output; and in accordance with a determination that the natural-language input does not satisfy the dialog criteria for multi-turn canned dialog: identifying a task associated with the natural-language input; and performing the task associated with the natural-language input.