Game Commentary

Automatic game commentary generation is a burgeoning field aiming to create engaging and informative narratives of gameplay, addressing the limitations of human-only commentary and enhancing viewer experience. Current research focuses on developing multimodal models, often incorporating transformer architectures and reinforcement learning, to analyze diverse data sources like video, audio, and game logs to generate contextually relevant commentary. This work is significant for improving accessibility and understanding of complex games, particularly esports, and contributes to advancements in natural language processing, multimodal learning, and data-to-text generation.