Overlapping Mention Recognition

Overlapping Mention Recognition is a subtask in natural language processing aimed at accurately identifying all entity mentions that overlap in text. The goal of this task is to improve the precision and recall of entity recognition, ensuring that each entity mention is correctly captured even if it partially overlaps with other entity mentions. Overlapping Mention Recognition is of great value for applications such as information extraction, knowledge graph construction, and semantic understanding, effectively enhancing the overall performance of the system.