Chinese Named Entity Recognition

Chinese Named Entity Recognition (NER) is a subtask in Natural Language Processing aimed at identifying and categorizing named entities from unstructured text, classifying them into predefined categories such as person names, organization names, location names, medical codes, time expressions, quantities, monetary values, and percentages. This task helps to improve the accuracy and efficiency of information extraction, and it is of significant value for applications such as text analysis, knowledge graph construction, and intelligent question-answering systems.