Continual Named Entity Recognition

Continual Named Entity Recognition is an important sub-task in the field of natural language processing, aimed at enabling models to continuously learn and recognize entities as they receive new data, while avoiding catastrophic forgetting. The goal of this task is to enhance the adaptability and generalization ability of the model, ensuring that it can accurately identify named entities at different times and in various scenarios. It has a wide range of application values, such as information extraction and knowledge graph construction.