Microsoft Technology Licensing, LLC

Jason Michael Deakins

Navendu Jain

Bret P Anderson

Scott David Schenone

Patrick Joseph Derks

Shawn Michael Brown

Rajeev Dubey

Adam James Betz

Huy P M Dao

Sammy Chiu

Max Michael Benat

Darcie Alison Gurley

James David Peter Drage

A technique is described herein for managing the manner in which a computing device transitions from one user interface (UI) mode to another. The technique stores state information that describes prior states of UI features that have appeared in previous UI presentations, with respect to different UI modes. When transitioning from a first UI presentation (associated with a first UI mode) to a second UI presentation (associated with a second UI mode), the technique leverages the state information to restore one or more aspects of a prior-encountered state associated with the second UI mode.

Transitioning between interface modes based on stored state information

Free-form text in a document can be analyzed using natural-language processing to determine actionable items specified by users in the text or to provide recommendations, e.g., by automatically analyzing texts from multiple users. Words or phrases of the text can be mapped to classes of a model. An actionable item can be determined using the mapped words or phrases that match a selected grammar pattern. Items can be ranked, e.g., based on frequency across multiple documents. In some examples, the classes can include a suggestion-indicator class or a modal-indicator class, and the selected grammar pattern can include one of those classes. In some examples, the mapping can use a dictionary. A new term not in the dictionary can be automatically associated with classes based on attributes of the new term and of terms in the dictionary, e.g., the new term's part of speech or neighboring terms.

Analysis of user text

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Kirkland, WA, United States of America

Jason Michael Deakins