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:
Sep. 10, 2024

Filed:

May. 28, 2021
Applicant:

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

Inventors:

Francesco Gelli, Singapore, SG;

Van Hoang Nguyen, Singapore, SG;

Assignee:
Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06F 40/295 (2020.01); G06F 18/214 (2023.01); G06F 40/284 (2020.01); G06N 3/08 (2023.01); G06N 5/02 (2023.01);
U.S. Cl.
CPC ...
G06F 40/295 (2020.01); G06F 18/2148 (2023.01); G06F 40/284 (2020.01); G06N 3/08 (2013.01); G06N 5/02 (2013.01);
Abstract

Methods and systems are presented for generating and using a machine learning model configured to perform cross-domain named entity recognition. The machine learning model is generated to accept a sentence associated with a target domain and to predict, for at least a word in the sentence, a corresponding entity associated with the target domain, without having been trained using training data associated with the target domain. In particular, the machine learning model is trained using only training data associated with a source domain. Based on derived relationships between entities associated with the source domain and entities associated with the target domain, the machine learning model is configured to transfer knowledge associated with the source domain to the target domain such that the machine learning model can map words within a sentence to entities associated with the target domain.


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