- Patent Title: System for identifying duplicate parties using entity resolution
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Application No.: US16555641Application Date: 2019-08-29
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Publication No.: US11544477B2Publication Date: 2023-01-03
- Inventor: Lucy Lu , Yi-Hui Ma , Shanna Hayes , Weichen Wang , Eliza Salkeld
- Applicant: International Business Machines Corporation
- Applicant Address: US NY Armonk
- Assignee: International Business Machines Corporation
- Current Assignee: International Business Machines Corporation
- Current Assignee Address: US NY Armonk
- Agency: Troutman Pepper Hamilton Sanders LLP
- Main IPC: G06F40/295
- IPC: G06F40/295 ; G06F40/44 ; G06F16/35 ; G06F40/56

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.
Public/Granted literature
- US20210064705A1 SYSTEM FOR IDENTIFYING DUPLICATE PARTIES USING ENTITY RESOLUTION Public/Granted day:2021-03-04
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