Low Resource Named Entity Recognition

Low-resource named entity recognition (NER) is an important task in natural language processing, aiming to leverage data and models from resource-rich languages (such as English) to address NER problems in resource-poor languages. This task enhances the accuracy and efficiency of entity recognition in low-resource languages through transfer learning and cross-lingual techniques, and has significant application value, especially in the fields of multilingual information extraction and cross-lingual knowledge graph construction.