Few Shot Ner

Few-Shot Named Entity Recognition (NER) is a subtask in the field of natural language processing aimed at identifying named entities in text, such as person names, organizations, and times. The core objective of this task is to achieve efficient recognition and classification of new entity types with only a small amount of labeled data. Few-Shot NER has significant application value for rapidly adapting to the entity recognition needs of emerging fields and can notably enhance system performance in data-scarce scenarios.