Named entity recognition (NER) aims to identify tokens that represent objects of interest, such as people, countries, or companies. It can be further developed into a knowledge graph that captures semantic and hierarchical relationships among such entities. It is a critical ingredient for applications that, for example, aim to predict the impact of news events or sentiment.