Microsoft Technology Licensing, LLC

Aleksandr Polyakov

Benjamin Gustav Wilde

Ransom Lloyd Richardson

Douglas Lane Milvaney

Michael Adam Scarpati

Sudarshan Sundar

Richard Malcolm Banks

Manoj Sharma

Patrick Michael Gan

Joan Catharine Weaver

Lyndsy Marie Stopa

Graham Baker

Nikhil Nathwani

Samantha N Powers

Yi Zheng

Gregory Alan Howard

Paul Anthony Scudieri

Anthony Arnold Wieser

Natalie Ann Mionis

Jenna Hong

Lucas Rosenblatt

Daniel John Niezgocki Chattan

Courtney Sarah Cochrane

Anish Yatin Pimpley

Matthew Stephen Howard

Jichen Yang

Yang He

Sean Gormley T Kelley

Yiquan Xu

Amit Dinesh Gupte

Eva Britta Karolina Burlin

Jason Peter Campoli

Jacob Lee Sanchez

Zeyu Wu

Abhijith Asok

The disclosed technology is generally directed to the conversion of text to tables. In one example of the technology, input text that includes at least three rows is received. A plurality of characteristics of the input text is determined. Each characteristic of the plurality of characteristics is associated with a uniformity between the rows of the input text. The plurality of characteristics includes at least one characteristic that is associated with a delimiter count. A determination is made as to whether the input text is suitable for conversion to table based on the plurality of characteristics. Upon determining that the input text is suitable for conversion to a table, a machine learning model is used to convert the input text into a table.

Intelligent table suggestion and conversion for text

A system and method for identifying relevant content from other documents and presenting candidate documents/content in a document authoring application is described. A computer-implemented method includes performing an analysis of text of a document being authored by a user with a document authoring application, searching a document library for content elements and documents based on the analysis of the text, identifying candidate documents and candidate content based on the searching, presenting a list of candidate documents or candidate content with the document authoring application, receiving a selection of a candidate document or candidate content from the list in the document authoring application, and including an instance of the selected candidate document or candidate content in the document.

Content element recommendation system

A system and method for summarizing suggested content and sharing the summarized suggested content is described. In one aspect, a computer-implemented method includes performing an analysis of text of a document, searching a document library for content elements and documents based on the analysis of the text, identifying candidate documents and candidate content based on the searching, presenting a list of candidate documents or candidate content with the document authoring application, receiving a selection of a candidate document or candidate content from the list in the document authoring application, and providing the selected candidate document to a collaborative content sharing platform, the collaborative content sharing platform configured to generate a graphical user interface that displays a list of shared documents, the shared documents includes candidate documents selected by one or more users of a group of users that share access to the collaborative content sharing platform.

Collaborative content recommendation platform

A system and method for aggregating and tracking content is described. In one aspect, a computer-implemented method includes forming a consolidated graphical user interface that tracks activities related to a project identifier. The project identifier identifies aggregated content. A project search query is received on the consolidated graphical user interface. The system identifies the project identifier based on the project search query, and presents at least one of a content item, a file, a folder, a user identifier, a user message, a meeting identifier, and a website identifier associated with the project identifier. The system registers selected items with the project identifier with a user of the consolidated graphical user interface, and forms the aggregated content assigned to the project identifier and to the user based on the registered selection.

Project aggregation and tracking system

To manage complexity related to messages and comments about collaboratively edited electronic documents, an electronic document has associated activity data and comment data, where a type of activity data includes messages among users. Message data is stored in a stream of activity data in a format that is accessible both to communication applications outside of the electronic document, and to end user applications for editing the electronic document. The message data can include a document identifier, a user identifier for a sender and/or a receiver, and content of the message. A communication application, given a user identifier, can access document messages for that user, from a single electronic document or over multiple electronic documents. Further, the communication application can be notified when new document messages related to a user identifier are added to one or more electronic documents. Additionally, the end user application, given a document identifier, can access document messages associated with that document identifier for inclusion in the activity data for the document.

Managing messages between users for collaborative editing of electronic documents

Aspects of the present disclosure relate to systems and methods for extending emoji reactions into file specific content. In one aspect, a file created with an application may be rendered on a user interface. One or more activities associated with the file created with the application may be obtained. In one example, the one or more activities include corresponding activity metadata. A file activity feed including the one or more activities associated with the file may be rendered within the file. The one or more activities may include at least an emoji icon displayed within at least one of the one or more activities.

Emoji reactions for file content and associated activities

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Somerville, MA, United States of America

Aleksandr Polyakov