Invention Grant
- Patent Title: Generating a candidate set of entities from a training set
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Application No.: US16202478Application Date: 2018-11-28
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Publication No.: US11651235B2Publication Date: 2023-05-16
- Inventor: William S. Spangler , Alix Lacoste , Katherine Shen , Hrishikesh Sathe , Jacques Labrie
- 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
- Agent Alexis N. Hatzls
- Main IPC: G06F7/08
- IPC: G06F7/08 ; G06N5/02 ; G06F16/28
Abstract:
A method, computer system, and a computer program product for generating a candidate set of entities from a training set of entities is provided. The present invention may include determining an ontology class for an input entity in the training set of entities. The present invention may include adding the input entity to an ontology list. The present invention may then include assigning an entity score to the input entity. The present invention may also include normalizing the ontology list of entity scores. The present invention may lastly include selecting the candidate set of entities with the highest entity score.
Public/Granted literature
- US20200167663A1 GENERATING A CANDIDATE SET OF ENTITIES FROM A TRAINING SET Public/Granted day:2020-05-28
Information query
