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Question

Named-Entity Recognition - How does a NER model work?

Answer

Natural language processing and machine learning are essential for named entity recognition. The goal of natural language processing (NLP) for NER models is to create intelligent systems that can understand spoken and written language. Algorithms for machine learning, meanwhile, allow NER models to grow and adapt.