Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: A dynamic presentation of contextually relevant content during an authoring experience. As a user writes about a topic, the authored content is analyzed to identify one or more keywords that may be used to identify, retrieve and present suggested content to the user. The suggested content may be received from one or more resources, such as a search engine, a data store associated with the user, social media resources or other local or remote files. Techniques described herein might also select the keywords from authored content based on a cursor position. As a result, the suggested content may change as the cursor moves to a new position in the authored content. In addition, techniques described herein provide a user interface control that allows for the selection and de-selection of one or more keywords, which allows a user to tailor the suggested content by toggling one or more controls.

Abstract: Detection of a document type of a document is provided. An application such as a document processing application analyzes a document to detect features of the document and pages of the document, based on an action selecting the document. The features include declarative and separative features. A type of the pages is detected based on the features. The type of the pages and values of the features of the document are aggregated to identify the document type of the document.

Abstract: Detection of a document type of a document is provided. An application such as a document processing application analyzes a document to detect features of the document and pages of the document, based on an action selecting the document. The features include declarative and separative features. A type of the pages is detected based on the features. The type of the pages and values of the features of the document are aggregated to identify the document type of the document.

Abstract: Technologies are described herein for generating structured sample authoring content based on a user input. Generally described, sample content, such as a synopsis of a subject, may be generated from a contextual interpretation of one or more keywords provided by a user. Using the one or more keywords, a system retrieves content data from one or more resources. The content data is parsed and used to generate a structure of the content data. The structure is then used to generate sample content that may be presented to the user. The presented information may provide a way to jumpstart an authoring project on particular topics of interest.

Abstract: A dynamic presentation of contextually relevant content during an authoring experience. As a user writes about a topic, the authored content is analyzed to identify one or more keywords that may be used to identify, retrieve and present suggested content to the user. The suggested content may be received from one or more resources, such as a search engine, a data store associated with the user, social media resources or other local or remote files. Techniques described herein might also select the keywords from authored content based on a cursor position. As a result, the suggested content may change as the cursor moves to a new position in the authored content. In addition, techniques described herein provide a user interface control that allows for the selection and de-selection of one or more keywords, which allows a user to tailor the suggested content by toggling one or more controls.