Role Filler Entity Extraction

Role-filler Entity Extraction is a task in the field of natural language processing that involves identifying and extracting specific entities corresponding to roles in events from text. This task aims to accurately capture key participants in events, such as agents and patients, to build structured event representations. Through this process, the performance of information extraction systems can be effectively improved, providing a solid data foundation for subsequent applications such as event analysis, sentiment mining, and knowledge graph construction.