Named Entity Extraction for Knowledge Graphs: A Literature Overview

Named Entity Extraction for Knowledge Graphs: A Literature Overview

An enormous amount of digital information is expressed as natural-language (NL) text that is not easily processable by computers. Knowledge Graphs (KG) offer a widely used format for representing information in computer-processable form. Natural Language Processing (NLP) is therefore needed for mini...

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Bibliographic Details
Main Authors: Tareq Al-Moslmi, Marc Gallofre Ocana, Andreas L. Opdahl, Csaba Veres
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Knowledge graphs
natural-language processing
named-entity extraction
named-entity recognition
named-entity disambiguation
named-entity linking
Online Access:https://ieeexplore.ieee.org/document/8999622/

Internet

https://ieeexplore.ieee.org/document/8999622/

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