Microsoft Technology Licensing, LLC

The Aro Corporation

Vulcan Technologies LLC

Alan Linchuan Liu

Kevin Francis Eustice

Michael Perkowitz

Andrew Francis Hickl

Paul G Allen

Ashraf A Michail

Erez Kikin-Gil

Benjamin David Smith

Emily Tran

Erik Thomas Oveson

Techniques performed by a data processing system for processing voice content received from a user herein include receiving a first audio input from a user comprising spoken content, analyzing the first audio input using one or more natural language processing models to produce a first textual output comprising a textual representation of the first audio input, analyzing the first textual output using one or more machine learning models to determine first context information of the first textual output, and processing the first textual output in the application based on the first context information.

Voice context-aware content manipulation

Embodiments create and label contextual slices from observation data and aggregate slices into a hierarchical storyline for a user. A context is a (possibly partial) specification of what a user was doing in the dimensions of time, place, and activity. A storyline is composed of a time-ordered sequence of contexts that partition a given span of time that are arranged in groups at one or more hierarchical levels. A storyline is created through a process of data collection, slicing, labeling, and aggregating. Raw context data can be collected from a variety of observation sources with various error characteristics. Slicing refines the raw context data into a consistent storyline composed of a sequence of contexts representing homogeneous time intervals. Labeling adds more specific and semantically meaningful data (e.g., geography, venue, activity) to the slices. Aggregation identifies groups of slices that correspond to a single semantic concept.

Automatically creating a hierarchical storyline from mobile device data

A user's context history is used to help select contextual information to provide to the user. Context data describing the user's current context is received and a plurality of information items corresponding to the user's current context are identified from a contextual information corpus. A personalized user behavior model for the user is applied to determine the likelihood that each of the identified information items will be of value to the user. One or more of the information items are selected based on the corresponding likelihoods and the selected information items are provided for presentation to the user.

Contextual information provider

Embodiments create and label context slices from observation data that together define a storyline of a user's movements. A context is a (possibly partial) specification of what a user was doing in the dimensions of time, place, and activity. Contexts can vary in their specificity, their semantic content, and their likelihood. A storyline is composed of a time-ordered sequence of contexts that partition a given span of time. A storyline is created through a process of data collection, slicing and labeling. Raw context data can be collected from a variety of observation sources with various error characteristics. Slicing refines the chaotic collection of contexts produced by data collection into a single consistent storyline composed of a sequence of contexts representing homogeneous time intervals. Labeling adds more specific and semantically meaningful data (e.g., geography, venue, activity) to the storyline produced by slicing.

Labeling context slices to produce a storyline from mobile device data

A system and method for processing and rendering multiple layers of a two-dimensional scene. A system provides a mechanism to determine a number of scene surfaces and a mapping between scene layers and scene surfaces. The mechanisms may include combining and aggregating areas of layers to create one opaque surface, aggregating non-overlapping semi-transparent opaque areas of layers, or creating surfaces from overlapping semi-transparent surfaces. Moving objects are accommodated, so that layers below a moving object may be rendered properly in frames where the moving object is above the layer and frames where the moving object is not above the layer, for each pixel.

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Seattle, WA, United States of America

Alan Linchuan Liu