The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
May. 28, 2024

Filed:

Sep. 29, 2020
Applicant:

Adobe Inc., San Jose, CA (US);

Inventors:

Handong Zhao, San Jose, CA (US);

Yikun Xian, Edison, NJ (US);

Sungchul Kim, San Jose, CA (US);

Tak Yeon Lee, Cupertino, CA (US);

Nikhil Belsare, Foster City, CA (US);

Shashi Kant Rai, Santa Clara, CA (US);

Vasanthi Holtcamp, Fremont, CA (US);

Thomas Jacobs, Cupertino, CA (US);

Duy-Trung T Dinh, Cupertino, CA (US);

Caroline Jiwon Kim, San Francisco, CA (US);

Assignee:

ADOBE INC., San Jose, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 16/00 (2019.01); G06F 16/21 (2019.01); G06F 18/2115 (2023.01); G06F 18/214 (2023.01); G06F 18/2431 (2023.01); G06N 3/08 (2023.01); G06V 30/262 (2022.01);
U.S. Cl.
CPC ...
G06F 16/213 (2019.01); G06F 18/2115 (2023.01); G06F 18/2148 (2023.01); G06F 18/2431 (2023.01); G06N 3/08 (2013.01); G06V 30/274 (2022.01);
Abstract

Systems and methods for lifelong schema matching are described. The systems and methods include receiving data comprising a plurality of information categories, classifying each information category according to a schema comprising a plurality of classes, wherein the classification is performed by a neural network classifier trained based on a lifelong learning technique using a plurality of exemplar training sets, wherein each of the exemplar training sets includes a plurality of examples corresponding to one of the classes, and wherein the examples are selected based on a metric indicating how well each of the examples represents the corresponding class, and adding the data to a database based on the classification, wherein the database is organized according to the schema.


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