Problems of NER object identification in texts

Abstract

Named entity recognition serves as the basis for many other areas
of information management. In natural language processing, named entity
recognition (NER) is the problem of recognizing and extracting certain
types of entities in text. In fact, any particular “thing” that has a name
stands out as a NER object. This article compared and studied the problems
that arise when identifying NER objects using machine learning, as part of
English and Uzbek texts.