Apple Inc.

Kevin D Pitolin

Felicia W Edwards

Yi Ma

Philippe P Piernot

Lorena S Pazmino

Tyler R Calderone

Antoine R Raux

Lewis N Perkins

Andrea Valentina Simes

Pierre Belin

Deniz Dizman

Daniel W Loo

Harry M Simmonds

Chengchao Yang

Systems and processes for operating a digital assistant are provided. An example method includes, at an electronic device having one or more processors and memory, detecting invocation of a digital assistant; determining, using a reference resolution service, a set of possible entities; receiving a user utterance including an ambiguous reference; determining based on the user utterance and the list of possible entities, a candidate interpretation including a preliminary set of entities corresponding to the ambiguous reference; determining, with the reference resolution service and based on the candidate interpretation including the preliminary set of entities corresponding to the ambiguous reference, an entity corresponding to the ambiguous reference; and performing, based on the candidate interpretation and the entity corresponding to the ambiguous reference, a task associated with the user utterance.

Reference resolution during natural language processing

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.

Digital assistant for providing handsfree notification management

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.

Application vocabulary integration with a digital assistant

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.

Multi-turn canned dialog

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San Jose, CA, United States of America

Kevin D Pitolin