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:
Jan. 03, 2023

Filed:

Aug. 29, 2019
Applicant:

International Business Machines Corporation, Armonk, NY (US);

Inventors:

Lucy Lu, Durham, NC (US);

Yi-Hui Ma, Mechanicsburg, PA (US);

Shanna Hayes, Cary, NC (US);

Weichen Wang, Cary, NC (US);

Eliza Salkeld, Raleigh, NC (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 40/295 (2020.01); G06F 40/44 (2020.01); G06F 16/35 (2019.01); G06F 40/56 (2020.01);
U.S. Cl.
CPC ...
G06F 40/44 (2020.01); G06F 16/355 (2019.01); G06F 40/295 (2020.01); G06F 40/56 (2020.01);
Abstract

An entity resolution system performs a method of resolving one or more candidate entities based on a data set. The entity resolution system has a rules-based module, a machine learning module, a narrative module, and an evaluation module. The rules-based module compares the first entity features to the second entity features and determines whether a rule identifies a relationship between the first entity and the second entity. The machine learning module rates a similarity of the first entity features and the second entity features. The narrative module generates a narrative output based on one or more of the rules-based module and the machine learning module, the narrative output stating an identified relationship between the first entity and the second entity. The evaluation module determines one or more metrics to apply feedback to the system.


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