Abstract: Systems and processes for operating an intelligent automated assistant are provided. In one example process, a first instance of a digital assistant operating on a first electronic device receives a natural-language speech input indicative of a user request. The first electronic device obtains a set of data corresponding to a second instance of the digital assistant on a second electronic device, and updates one or more settings of the first instance of the digital assistant based on the received set of data. The first instance of the digital assistant performs one or more tasks based on the updated one or more settings and provides an output indicative of whether the one or more tasks are performed.

Abstract: Systems and processes for operating an intelligent automated assistant are provided. In accordance with one example, a method includes, at an electronic device with one or more processors and memory, obtaining a first set of data corresponding to one or more interactions between a user and the digital assistant on the electronic device; obtaining a second set of data corresponding to one or more interactions between the user and an application on the electronic device; and storing the first set of data and the second set of data. The method further includes receiving a set of executable instructions; processing, based on the received set of executable instructions, the first set of data and the second set of data to obtain a third set of data; and transmitting the third set of data to a remote electronic device.

Abstract: Systems and processes for optimizing dialogue policy decisions for digital assistants using implicit feedback are provided. In an example process, a user utterance is received. Based on a text representation of the user utterance, one or more user intents corresponding to the user utterance are determined. A policy action is selected from a plurality of candidate policy actions based on a belief state for the one or more user intents and a policy model. The policy action is performed, including outputting results of the policy action for presentation. A success score for the policy action is determined based on whether one or more predetermined types of implicit user feedback are detected after performing the policy action. A set of parameter values of the policy model is modified using the determined success score.

Abstract: Systems and processes for operating an intelligent automated assistant are provided. In one example process, a first instance of a digital assistant operating on a first electronic device receives a natural-language speech input indicative of a user request. The first electronic device obtains a set of data corresponding to a second instance of the digital assistant on a second electronic device, and updates one or more settings of the first instance of the digital assistant based on the received set of data. The first instance of the digital assistant performs one or more tasks based on the updated one or more settings and provides an output indicative of whether the one or more tasks are performed.

Abstract: Systems and processes for operating an intelligent automated assistant are provided. In one example process, a first instance of a digital assistant operating on a first electronic device receives a natural-language speech input indicative of a user request. The first electronic device obtains a set of data corresponding to a second instance of the digital assistant on a second electronic device, and updates one or more settings of the first instance of the digital assistant based on the received set of data. The first instance of the digital assistant performs one or more tasks based on the updated one or more settings and provides an output indicative of whether the one or more tasks are performed.

Abstract: A device implementing a system for determining an answer to a question includes a processor configured to receive a question from a client device, and send the question to a first information domain comprising plural search subdomains, each of the plural search subdomains being configured to provide a respective candidate answer to the question in a format that differs from those provided by the other search subdomains of the plural search subdomains. The processor is further configured to receive, in response to sending the question, the candidate answer from each of the plural search subdomains, and provide at least one of the candidate answers to the client device, for providing an answer to the question based on the at least one of the candidate answers.

Abstract: Systems and processes for operating an intelligent automated assistant are provided. In accordance with one example, a method includes, at an electronic device with one or more processors and memory, obtaining a first set of data corresponding to one or more interactions between a user and the digital assistant on the electronic device; obtaining a second set of data corresponding to one or more interactions between the user and an application on the electronic device; and storing the first set of data and the second set of data. The method further includes receiving a set of executable instructions; processing, based on the received set of executable instructions, the first set of data and the second set of data to obtain a third set of data; and transmitting the third set of data to a remote electronic device.

Abstract: Systems and processes for operating an intelligent automated assistant are provided. In one example process, a first instance of a digital assistant operating on a first electronic device receives a natural-language speech input indicative of a user request. The first electronic device obtains a set of data corresponding to a second instance of the digital assistant on a second electronic device, and updates one or more settings of the first instance of the digital assistant based on the received set of data. The first instance of the digital assistant performs one or more tasks based on the updated one or more settings and provides an output indicative of whether the one or more tasks are performed.

Abstract: Systems and processes for optimizing dialogue policy decisions for digital assistants using implicit feedback are provided. In an example process, a user utterance is received. Based on a text representation of the user utterance, one or more user intents corresponding to the user utterance are determined. A policy action is selected from a plurality of candidate policy actions based on a belief state for the one or more user intents and a policy model. The policy action is performed, including outputting results of the policy action for presentation. A success score for the policy action is determined based on whether one or more predetermined types of implicit user feedback are detected after performing the policy action. A set of parameter values of the policy model is modified using the determined success score.