Zero Shot Named Entity Recognition Ner

Zero-shot Named Entity Recognition (NER) is a crucial task in the field of natural language processing, aimed at accurately identifying named entities in text without training on specific datasets. This technology leverages the generalization capabilities of pre-trained models to achieve efficient entity recognition on unseen data, and it has broad application value, especially in new domains or scenarios with scarce data.