Named Entity Recognition (NER)

Named Entity Recognition (NER) is a task in Natural Language Processing (NLP) aimed at identifying and classifying named entities in text into predefined categories such as person names, organizations, locations, etc. Its goal is to extract structured information from unstructured text data and represent it in a machine-readable format. NER has significant application value in areas like information retrieval, knowledge graph construction, sentiment analysis, and typically employs the BIO tagging scheme to distinguish the beginning and inside of entity markings.