Knowledge graph helps to fetch facts for answering NLP based question answering systems.

  - Single-fact QA
 - Multi-hop Reasoning


San Jose State University

The application of structured data in knowledge graphs are useful in applications like link prediction, entity prediction ,relation extraction ,question answering applications and recommendation systems. The various applications of knowledge graphs are  in 

 - Language Representation Learning
 - Question Answering 
 - Recommender Systems


Knowledge Aware Applications

A Survey on Knowledge Graphs: Representation, Acquisition and Applications

Language representation learning is an integral part of NLP systems, integrating factual knowledge about entities and relations helps to build better learning models.

Language Representation Learning

Question Answering 

Intelligent recommendation systems can be made by integrating knowledge graph to get extra information.

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