US 11,755,821 B2
Automated document highlighting in a digital management platform
Mangesh Bhandarkar, Los Altos, CA (US); Shrinivas Kiran Kaza, Fremont, CA (US); Taiwo Raphael Alabi, San Jose, CA (US); Ashwath Mohan, San Ramon, CA (US); and Kim Cuong Phung, Hayward, CA (US)
Assigned to DOCUSIGN, INC., San Francisco, CA (US)
Filed by DocuSign, Inc., San Francisco, CA (US)
Filed on Aug. 31, 2022, as Appl. No. 17/900,731.
Application 17/900,731 is a continuation of application No. 16/942,673, filed on Jul. 29, 2020, granted, now 11,461,539.
Prior Publication US 2022/0414318 A1, Dec. 29, 2022
This patent is subject to a terminal disclaimer.
Int. Cl. G06F 40/00 (2020.01); G06F 40/166 (2020.01); G06N 20/00 (2019.01); G06F 40/295 (2020.01); G06V 30/414 (2022.01); G06F 18/40 (2023.01); G06F 18/214 (2023.01)
CPC G06F 40/166 (2020.01) [G06F 18/214 (2023.01); G06F 18/40 (2023.01); G06F 40/295 (2020.01); G06N 20/00 (2019.01); G06V 30/414 (2022.01)] 20 Claims
OG exemplary drawing
 
1. A method of automatically highlighting text passages within a target document comprising:
identifying a first candidate set of text passages of the target document based on a matrix representation of the target document;
identifying a second candidate set of text passages within the target document based on characteristics of text of the second candidate set of text passages;
identifying a third candidate set of text passages within the target document based on feedback from the user;
identifying a target set of text passages to highlight by applying a supervised machine learned model to the first candidate set of text passages, the second candidate set of text passages, and the third candidate set of text passages, the supervised machine learning model trained using a training set of data comprising documents each with a set of highlighted text passages, at least a portion of the set of the highlighted text passages at least partially highlighted by a user; and
modifying the target document by highlighting the target set of text passages.