Abstract: Embodiments are directed to an approach to semi-automatically (programmatically) generate labels for data based on implementation of a clustering technique and can be used to implement a form of programmatic labeling to accelerate the development of classifiers and other forms of models. The disclosed methodology is particularly helpful in generating labels or annotations for unstructured data. In some embodiments, the disclosed approach may be used with data in the form of text, images, or other form of unstructured data.

Abstract: Systems and processes for operating an intelligent automated assistant are provided. In one example process, discourse input representing a user request is received. The process determines whether the discourse input relates to a device of an established location. In response to determining that the discourse input relates to a device of an established location, a data structure representing a set of devices of the established location is retrieved. The process determines, using the data structure, a user intent corresponding to the discourse input, the user intent associated with an action to be performed by a device of the set of devices, and a criterion to be satisfied prior to performing the action. The action and the device are stored in association with the criterion, where, in accordance with a determination that the criterion is satisfied, the action is performed by the device.

Abstract: Systems and processes for operating a digital assistant are provided. In one example process, a speech input is received from a user. A user intent is determined based on the speech input. Determining the user intent includes generating text based on the speech input, performing natural language processing of the text, and determining the user intent based on a result of the natural language processing. In accordance with the user intent, status information associated with at least one of the one or more electronic devices is requested. The status information associated with the at least one of the one or more electronic devices is received. A spoken output is generated and represents the status information associated with the at least one of the one or more electronic devices. The spoken output is caused to be provided to the user.

Abstract: Systems and processes for operating an intelligent automated assistant are provided. In one example process, discourse input representing a user request can be received. The process can determine one or more possible device characteristics corresponding to the discourse input. Data structure representing a set of devices of an established location can be retrieved. The process can determine, based on the data structure, one or more candidate devices from the set of devices. The one or more candidate devices can correspond to the discourse input. The process can determine, based on the one or more possible device characteristics and one or more actual device characteristics of the one or more candidate devices, a user intent corresponding to the discourse input. Instructions that cause a device of the one or more candidate devices to perform an action corresponding to the user intent can be provided.

Abstract: Systems and processes for operating an intelligent automated assistant are provided. In one example process, discourse input representing a user request is received. The process determines whether the discourse input relates to a device of an established location. In response to determining that the discourse input relates to a device of an established location, a data structure representing a set of devices of the established location is retrieved. The process determines, using the data structure, a user intent corresponding to the discourse input, the user intent associated with an action to be performed by a device of the set of devices, and a criterion to be satisfied prior to performing the action. The action and the device are stored in association with the criterion, where, in accordance with a determination that the criterion is satisfied, the action is performed by the device.

Abstract: Systems and processes for operating an intelligent automated assistant are provided. In one example process, discourse input representing a user request can be received. The process can determine one or more possible device characteristics corresponding to the discourse input. Data structure representing a set of devices of an established location can be retrieved. The process can determine, based on the data structure, one or more candidate devices from the set of devices. The one or more candidate devices can correspond to the discourse input. The process can determine, based on the one or more possible device characteristics and one or more actual device characteristics of the one or more candidate devices, a user intent corresponding to the discourse input. Instructions that cause a device of the one or more candidate devices to perform an action corresponding to the user intent can be provided.

Abstract: Systems and processes for operating a digital assistant are provided. In one example process, a speech input is received from a user. A user intent is determined based on the speech input. Determining the user intent includes generating text based on the speech input, performing natural language processing of the text, and determining the user intent based on a result of the natural language processing. In accordance with the user intent, status information associated with at least one of the one or more electronic devices is requested. The status information associated with the at least one of the one or more electronic devices is received. A spoken output is generated and represents the status information associated with the at least one of the one or more electronic devices. The spoken output is caused to be provided to the user.

Abstract: A request to display a first object that is within a displayed image and obscured by a second object displayed over the first object is detected. A second image comprising the first object is generated, and the second image is displayed over the second object. The second object may include a tag associated with a third object in the image, for example. The first object may be a face of an individual displayed in the image, for example.