US 11,816,571 B2
Named entity recognition with convolutional networks
Christian Schäfer, Berlin (DE)
Assigned to LEVERTON HOLDING LLC, Solon, OH (US)
Filed by Leverton Holding LLC, Solon, OH (US)
Filed on Oct. 4, 2021, as Appl. No. 17/493,294.
Application 17/493,294 is a continuation of application No. 16/582,351, filed on Sep. 25, 2019, granted, now 11,138,425.
Claims priority of provisional application 62/736,922, filed on Sep. 26, 2018.
Prior Publication US 2022/0100994 A1, Mar. 31, 2022
This patent is subject to a terminal disclaimer.
Int. Cl. G06V 30/412 (2022.01); G06N 3/08 (2023.01); G06N 3/04 (2023.01); G06V 30/416 (2022.01); G06V 30/414 (2022.01); G06V 30/18 (2022.01); G06V 10/82 (2022.01); G06F 18/214 (2023.01); G06F 18/21 (2023.01); G06V 30/19 (2022.01); G06V 20/62 (2022.01); G06V 30/10 (2022.01)
CPC G06N 3/08 (2013.01) [G06F 18/214 (2023.01); G06F 18/217 (2023.01); G06N 3/04 (2013.01); G06V 10/82 (2022.01); G06V 20/62 (2022.01); G06V 30/18057 (2022.01); G06V 30/19173 (2022.01); G06V 30/412 (2022.01); G06V 30/414 (2022.01); G06V 30/416 (2022.01); G06V 30/10 (2022.01)] 20 Claims
OG exemplary drawing
 
1. A method comprising:
receiving a document image and a recognized text of the document image;
creating a tagged map including one or more tagged cells;
estimating, with a machine learning model, one or more locations of a tag in the tagged map; and
recognizing one or more named entities within the recognized text based on the one or more locations of the tag.