Microsoft Technology Licensing, LLC

J Brandon Smock

Robin Abraham

Henry Hun-Li Reid Pan

Pramod Kumar Sharma

Natalia Larios Delgado

Owen Stephenson Whiting

Rohith Venkata Pesala

A computer implemented method includes rendering a document page as an image; detecting tables, columns, and other associated table objects within the image via one or more table recognition models that model objects in the image as overlapping bounding boxes; transforming the set of objects into a structured representation of the table; extracting data from the objects into the structured representation; and exporting the table into the desired output format.

Inferring structure information from table images

A computer implemented method determines differences between documents. The method includes parsing a first document and a second document into respective distinct instances of content. The distinct instances of content are classified into different categories. Category specific matching algorithms are applied to each of the respective instances of content to determine a similarity score for each of the respective instances of content. Semantic differences between the first document and the second document are analyzed as a function of the similarity scores. A characterization of the semantic differences is generated.

Semantic difference characterization for documents

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Seattle, WA, United States of America

J Brandon Smock