Microsoft Technology Licensing, LLC

Docugami, Inc.

Jean Paoli

Oliver H Foehr

Jerry Jay Dunietz

David Ornstein

Andrew Paul Begun

Josh Pollock

Mike Hillberg

Brian M Jones

Marcin Sawicki

Andrey Shur

Michael Brian Palmer

Daniel Emerson

Taqi Jaffri

Sarjana Sheth

Michael Taron

Zubin Rustom Wadia

Christina Pavlopoulou

Andrew Minh Hoang

Zhanlin Liu

Jerome George Paliakkara

Manar Shehadeh

Zhaofeng Wu

Yue Zhang

Xiaoquan Zhou

Bhaven Toprani

Elena Pricoiu

Eric White

David Watson

Swagatika Sarangi

Joshua Yongshin Fan

Steven DeRose

Kush Gupta

Laurent Mollicone

Bruce A MacKenzie

Luis Marti Orosa

Prakash Sikchi

Alessandro Catorcini

Adriana Ardeleanu

Matthew Jay Kotler

Ned Bearer Friend

Suryanarayanan V Raman

Christian Fortini

Stephen John Mooney

Bulusu Krishna Mohan

Thomas R Lawrence

Rajesh K Jha

Shuk-Yan Lai

Sharma K Hendel

Jason Whitmarsh

Evgeny Veselov

Jonathan E Rivers-Moore

Kamaljit S Bath

Joshua S Bell

Young Gah Kim

Jun Jin

Willson Kulandai Raj

Machine learning, artificial intelligence, and other computer-implemented methods are used to identify various semantically important chunks in documents, automatically label them with appropriate datatypes and semantic roles, and use this enhanced information to assist authors and to support downstream processes. Chunk locations, datatypes, and semantic roles can often be automatically determined from what is here called 'context', to wit, the combination of their formatting, structure, and content; those of adjacent or nearby content; overall patterns of occurrence in a document, and similarities of all these things across documents (mainly but not exclusively among documents in the same document set). Similarity is not limited to exact or fuzzy string or property comparisons, but may include similarity of natural language grammatical structure, ML (machine learning) techniques such as measuring similarity of word, chunk, and other embeddings, and the datatypes and semantic roles of previously-identified chunks.

Cross-document intelligent authoring and processing, with arbitration for semantically-annotated documents

Enabling flexible processing of semantically-annotated documents

Automatically identifying chunks in sets of documents

Automatically assigning semantic role labels to parts of documents

Assisting authors via semantically-annotated documents

Cross-document intelligent authoring and processing, including format for semantically-annotated documents

A system and method enabling a designer to build electronic forms from hierarchical data is described. Displays of hierarchical data, facilitation of selection of a portion of the hierarchical data, and displays of one or more transformation-language components associated with a selected portion of hierarchical data are described. From the transformation-language components selected by a designer, generation of an electronic form is also described.

Designing electronic forms

A system and method that enables a designer to build electronic forms and corresponding hierarchical schemas are described. Displays of hierarchical schemas, electronic forms, and components used to build the hierarchical schemas and electronic forms are provided to the designer. The designer selects components and arranges them on a display to visually build an electronic form. As the form is built, the corresponding hierarchical schema is incrementally updated to reflect changes made to the electronic form.

Incrementally designing electronic forms and hierarchical schemas

Methods and systems of authoring XML using DHTML views and XSLT are described. Various user interfaces can be automatically or semi-automatically provided in a DHTML view that enable a user to interact with the DHTML view. The interfaces, some of which are termed 'in document' interfaces, permit a user to interact with a DHTML view and have those interactions automatically made to a corresponding XML document that describes data that is associated with the DHTML view.

Authoring arbitrary XML documents using DHTML and XSLT

Modular content framework and document format methods and systems are described. The described framework and format define a set of building blocks for composing, packaging, distributing, and rendering document-centered content. These building blocks define a platform-independent framework for document formats that enable software and hardware systems to generate, exchange, and display documents reliably and consistently. The framework and format have been designed in a flexible and extensible fashion. In addition to this general framework and format, a particular format, known as the reach package format, is defined using the general framework. The reach package format is a format for storing paginated documents. The contents of a reach package can be displayed or printed with full fidelity among devices and applications in a wide range of environments and across a wide range of scenarios.

Method and apparatus for maintaining relationships between parts in a package

Modular document format

Modular content framework and document format methods and systems are describe. The described framework and format define a set of building blocks for composing, packaging, distributing, and rendering document-centered content. These building blocks define a platform-independent framework for document formats that enable software and hardware systems to generate, exchange, and display documents reliably and consistently. The framework and format have been designed in a flexible and extensible fashion. In addition to this general framework and format, a particular format, known as the reach package format, is defined using the general framework. The reach package format is a format for storing paginated documents. The contents of a reach package can be displayed or printed with full fidelity among devices and applications in a wide range of environments and across a wide range scenarios.

Method and apparatus for interleaving parts of a document

Growing community of inventors

Kirkland, WA, United States of America

Jean Paoli