Invention Grant
- Patent Title: Identification of domain information for use in machine learning models
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Application No.: US15816072Application Date: 2017-11-17
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Publication No.: US10698868B2Publication Date: 2020-06-30
- Inventor: Chinnappa Guggilla , Praveen Maniyan , Madhura Shivaram , Naveen Bansal
- Applicant: Accenture Global Solutions Limited
- Applicant Address: IE Dublin
- Assignee: Accenture Global Solutions Limited
- Current Assignee: Accenture Global Solutions Limited
- Current Assignee Address: IE Dublin
- Agency: Harrity & Harrity, LLP
- Main IPC: G06F16/21
- IPC: G06F16/21 ; G06N20/00 ; G06F16/84 ; G06F16/335 ; G06F16/35 ; G06F16/2457 ; G06F16/33 ; G06F16/36 ; G06F16/248

Abstract:
A device may analyze a set of unstructured documents of an organization associated with a domain to identify a first set of entities. The device may analyze a set of semi-structured documents of the organization to determine a second set of entities. The device may filter the first set of entities using the second set of entities. Filtering the first set of entities may include removing, from the first set of entities, one or more entities that do not satisfy a threshold level of similarity with entities included in the second set of entities. The device may consolidate the filtered first set of entities and the second set of entities to identify a set of key entities. The device may provide the set of key entities to a user device to allow the set of key entities to be annotated and used for one or more machine learning models.
Public/Granted literature
- US20190155924A1 IDENTIFICATION OF DOMAIN INFORMATION FOR USE IN MACHINE LEARNING MODELS Public/Granted day:2019-05-23
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