Hands-On Guide to Building Knowledge Graph for Named Entity Recognition

As we have been using graphs to represent semantic relationships between different entities through nodes and arcs, similarly, the knowledge graph is used to model the relationships between entities as given in a knowledge base. It has gained attention in recent times due to its increasing application in many natural language processing tasks where modelling complex relations is difficult using traditional methods.  In this article, we will be discussing how to build the knowledge graph for named entity recognition tasks in NLP. Through the hands-on implementation, we will see how the relationships between different entities that exist in the given texts can be represented via a knowledge graph. The major points to be covered in this article are listed below. Table of Contents W
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Picture of Yugesh Verma
Yugesh Verma
Yugesh is a graduate in automobile engineering and worked as a data analyst intern. He completed several Data Science projects. He has a strong interest in Deep Learning and writing blogs on data science and machine learning.
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