Named Entity Recognition in NLP

Real-world use cases, models, methods: from simple to advanced

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In natural language processing, named entity recognition (NER) is the problem of recognizing and extracting specific types of entities in text. Such as people or place names. In fact, any concrete “thing” that has a name. At any level of specificity. Job titles, public school names, sport names, music…