Graph neural networks (GNNs) have rapidly emerged as a central methodology for analysing complex datasets presented as graphs, where entities are interconnected through diverse relationships. By ...
Document-level Role Filler Extraction exhibits a wide range of application value in natural language processing, including information retrieval, article summarization and trends analysis of world ...