Microsoft Technology Licensing, LLC

Om Krishna

Darron Jack Stepanich

Roopesh Kumar Rajamani

Jamie Yu

Erez Kikin Gil

Matthew Evan Vogel

Julie Christa Seto

Priya Vaidyanathan

Chenguang Yang

Vidyaraman Sankaranarayanan

Annie Y Bai

Stéphane Morichère-Matte

Michael Anthony Navarro

Ronald Nikolai Bartlett Savas

Venkateshwar Rao Thota

Sumanth Pasupuleti

Grace Lam

Gregory Iannacone

Alvin Ji-Fung Lao

Peter John Daoud

Michael Andrew Griscom

Roopesh Rajamani

Systems, methods, and software are disclosed herein for enhancing group collaboration in the context of productivity applications. In an implementation, a productivity application includes a user interface in which a document may be presented. In addition, a view of a groups feature provided by a social network service may be presented in the user interface to the productivity application. The view may include various options or interacting with the groups feature, such as the ability to create a new group, the ability to post comments to a group in the social network service, and the ability to upload documents to a group.

Productivity applications with views of social network group features

Devices, systems, and methods for automatically creating a document. In one example, the system and method perform or include capturing, with a web-extension associated with a word-processing application, implicitly-tagged-content and an explicitly-tagged-content displayed on a web browser along with tags associated with the implicitly-tagged-content and the explicitly-tagged-content; receiving, with a speech-to-text interface, natural-language audio instruction associated with generating a document; generating, with a natural-language processor, a plain-text command associated with the natural-language audio instruction; retrieving personalized-content based on the plain-text command; and organizing, with a content-organizer, the personalized-content based on one or more criteria selected from a group consisting of page rank of a content displayed on the web browser, a source of the content, an authoring-style, and a document template. The document is generated using information received from the content-organizer.

Automatically generating documents

Contextual note taking is described. A note taking assistant can receive an indication of a specific presentation session. This indication can be used by the note taking assistant to access information or content related to the session. The note taking assistant can receive specific presentation session content, which includes identifiable context images. Identifiable context images are meant to define an individual page, an individual slide, or other atomic unit in the presentation. The note taking assistant operates by receiving a navigation message, changing the current assistant context image to a current presenter context image based on the navigation message; receiving a speech-to-text message comprising a unit of text; displaying the current presenter context image, and displaying the unit of text associated with the current presenter context image; and storing the unit of text associated with the current presenter context image.

Contextual note taking

A sending device receives a user input indicating that the user wishes to share and open item of content with a receiving device. A near field communication link is opened between the sending device and the receiving device. Metadata for sharing the open data is gathered on the sending device and a permission setting user interface display is displayed, with the user input mechanism that allows a user to set permissions corresponding to the open item. User actuation of the permission setting user input mechanism is received, the permissions are added to the open item, and the metadata is sent to the receiving device over the near field communication link. The metadata includes a location of the open item. The open item can then be accessed by the receiving device, with the permissions applied to the open item.

Sharing content with permission control using near field communication

A computing device receives voice command inputs from a user. The device obtains a language processing result based on the voice command input. The result includes an intent and a set of arguments. The device also obtains a variety of different types of contextual information. An action is identified based on the intent, the arguments, and the contextual information, and the device then suggests the action by displaying a user selectable input mechanism that can be actuated by the user to perform the action. The device can automatically perform the action as well.

Context-based actions

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Om Krishna