Towards Automatic Soccer Commentary Generation with Knowledge-Enhanced Visual Reasoning
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. To bridge the gap, we propose GameSight, a two-stage model to address soccer commentary generation as a knowledge-enhanced visual reasoning task, enabling live-televised-like knowledgeable commentary with accurate reference to entities (players a...
| Authors | Zeyu Jin, Xiaoyu Qin, Songtao Zhou et al. |
|---|---|
| Primary category | cs.MM |
| Published | 31 March 2026 |
| Last updated at source | 31 March 2026 |
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