Multi-Grained Named Entity Recognition

Multi-granularity Named Entity Recognition is an important task in natural language processing, aimed at detecting and recognizing entities of different granularities in text without assuming non-overlapping or fully nested structures between entities. This task can more flexibly capture entity information, improving the accuracy and comprehensiveness of entity recognition, and is of great value for applications such as information extraction and knowledge graph construction.