Adobe, Inc.

Navita Goyal

Balaji Vasan Srinivasan

Niyati Himanshu Chhaya

Vishwa Vinay

Sumit Shekhar

Natwar Modani

Aparna Garimella

Vinay Aggarwal

Ani Nenkova

Suryateja Bv

Inderjeet Jayakumar Nair

Elaine Chao

Tanvi V Karandikar

Nethraa Sivakumar

Shelly Jain

Himanshu Maheshwari

Ayush Maheshwari

Techniques described herein are directed to assisting review of documents. In one embodiment, one or more text segments and one or more subjects in a document are identified. A text segment in the document is associated with a corresponding subject identified in the document. The text segment is classified with a content type value corresponding to a relation of the text segment to the corresponding subject. Thereafter, information is provided for the text segment associated with the corresponding subject for display on a user interface. Such information can include a representation of the content type value for the text segment.

Assisted review of text content using a machine learning model

Embodiments are disclosed for generating an intelligent change summary are described. In some embodiments, a method of generating an intelligent change summary includes obtaining a representation of a plurality of versions of a document, determining a distance score based on a comparison of a first of version of the document and a second version of the document, the distance score representing a magnitude of changes made from the first version of the document to the second version of the document, and generating a change summary of the document based on the distance score.

Intelligent change summarization for designers

Embodiments of the technology described herein are directed to a persona-specific navigation interface for a document. Initially, a user may select a persona associated with a document through a document navigation interface. A machine-learning model may identify an interest within a portion of the document. The interest may be mapped to the persona. A navigation interface that includes a navigable link to the portion of the document is generated and output for display. A user interaction with the navigable link is received. In response to the interaction, the portion of the document corresponding to the navigable link is output for display.

Dynamic persona-based document navigation

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College Park, MD, United States of America

Navita Goyal