Apple Inc.

Antoine Vinel

Sofiane Toudji

Erik Markus Berget

Jerome Rene Bellegarda

Alexandre F Carlhian

Jannes G Dolfing

Mathieu Jean Martel

Hafid J Arras

Sabrine Rekik

Markus Berget

Romain F Butteaud

Hafid Arras

Salem Ben Yaala

Zachary D Maurer

Events that are described in either structured data (e.g. HTML web page or email) or text in a natural language description can be extracted and entered into one or more calendars on a user's device. In one embodiment, selecting an add event command in a calendar application can cause the calendar application to search, without having received any search input, in a database of extracted events, and events extracted within a predetermined period of time can be suggested as events to add to the calendar. In one embodiment, an extracted event can cause a notification to be displayed to a user. Other embodiments are also described herein.

Event extraction systems and methods

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

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.

Data driven natural language event detection and classification

Growing community of inventors

Courbevoie, France

Antoine Vinel