Towards Automatic Soccer Commentary Generation with Knowledge-Enhanced Visual Reasoning

ArXi:2604.00057v1 Announce Type: cross Soccer commentary plays a crucial role in enhancing the soccer game viewing experience for audiences. Previous studies in automatic soccer commentary generation typically adopt an end-to-end method to generate anonymous live text commentary. Such generated commentary is insufficient in the context of real-world live televised commentary, as it contains anonymous entities, context-dependent errors and lacks statistical insights of the game events.