Invention Grant
- Patent Title: Extraction of named entities from document data to support automation applications
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Application No.: US16510657Application Date: 2019-07-12
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Publication No.: US11669692B2Publication Date: 2023-06-06
- Inventor: Anup Kalia , Tarek Sakakini , Yu Deng , Jin Xiao , Maja Vukovic
- 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: Amin, Turocy & Watson, LLP
- Main IPC: G06F40/295
- IPC: G06F40/295 ; G06F40/40 ; G06F40/30

Abstract:
Systems, computer-implemented methods, and computer program products that can facilitate extraction of named entities from document data to support automation applications are provided. According to an embodiment, a system can comprise a memory that stores computer executable components and a processor that executes the computer executable components stored in the memory. The computer executable components can comprise an entity extraction component that extracts, using a first machine learning process, a first data entity and a second data entity from document data indicative of a textual information. The computer executable components can further comprise a relation extraction component that determines, using a second machine learning process, a relation between the first data entity and the second data entity to generate a knowledge data graph used to execute an application associated with natural language processing for the document data.
Public/Granted literature
- US20210012179A1 EXTRACTION OF NAMED ENTITIES FROM DOCUMENT DATA TO SUPPORT AUTOMATION APPLICATIONS Public/Granted day:2021-01-14
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