Docusign, Inc.

Michael Anthony Palazzolo

Shrinivas Kiran Kaza

Taiwo Raphael Alabi

Kim Cuong Phung

Boon Sun Song

Eric M Zenz

Roshan Satish

Steve Ryan

Patrick Beukema

Chris Stoyka

Michael Winarski

An auto-tagging engine receives a training set of data comprising documents including a set of tagged fields with each tagged field corresponding to a portion of the document. The auto-tagging engine trains a machine learned model using the training set of data. The trained machine learned model, when applied to a target document in a document management environment, identifies portions of the target document each corresponding to fields of the target document. For each field of the target document, the auto-tagging engine identifies text of the target document associated with the identified portions of the target document corresponding to fields. Natural language processing is performed on the identified text in order to identify field types for the fields. The target document is automatically modified to include a tag identifying the portion of the target document corresponding to each field and identifying a field type of the field.

Automated document tagging in a digital management platform

Golf accessory

Growing community of inventors

Seattle, WA, United States of America

Michael Anthony Palazzolo