Named-entity recognition

Named-entity recognition (NER) (also known as (named) entity identification, entity chunking, and entity extraction) is a subtask of information extraction that seeks to locate and classify named entities mentioned in unstructured text into pre-defined categories such as person names, organizations, locations, medical codes, time expressions, quantities, monetary values, percentages, etc.

搜集汇总

背景与挑战

背景概述

该数据集专注于命名实体识别（NER），这是信息提取的一个子任务，旨在从非结构化文本中定位并分类命名实体，例如人名、组织、地点、时间表达和数值等预定义类别。