Microsoft Technology Licensing, LLC

Katarina Jovanović

Dragan Slaveski

Umachandra Chikkareddy

Andreja Ilic

Igor Ilic

Marko Zoran Djokic

Andreja Ilić

Milos Rasković

Sladjan Kantar

Vladimir Ranković

Vladimir Ilic

Damjan Dakic

A system is configured to automatically enhance user content by dynamically generating alternative layouts given an original layout of the user content. The alternative layouts are generated based on determined roles for a number of different content elements on a canvas and/or detected semantic relationships between content elements. Once the alternative layouts are generated, the system can evaluate the alternative layouts and assign a score to each of the alternative layouts. The system can then identify recommended alternative layouts that are suitable for a particular purpose (e.g., a professional presentation, a teaching lesson, etc.), and provide the recommended alternative layouts for display on a device of a user.

Automatic generation of alternative content layouts

Document heading detection includes performing a classification on each of a plurality of paragraphs of a document to identify each paragraph as either a heading or non-heading paragraph. The classification is based on one or more pre-established values corresponding to one or more pre-established formatting features that are indicative of a heading paragraph relative to currently established values for each of the one or more pre-established formatting features in each of the plurality of paragraphs. Document heading detection further includes determining a strength of each of the one or more heading paragraphs by performing a linear regression on each heading paragraph and assigning each of the one or more heading paragraphs a heading level within a hierarchy of heading levels based on the determined strength.

Document heading detection

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Belgrade, Republic of Serbia

Katarina Jovanović