Sport Game Summarization

Sport game summarization focuses on automatically generating concise and informative summaries of sporting events, leveraging diverse data sources like play-by-play commentary, player tracking data, and game statistics. Current research emphasizes integrating textual and numerical data using large language models and advanced techniques like transformers, exploring knowledge-grounded approaches to improve the accuracy and richness of summaries. This field is significant for enhancing fan engagement, providing valuable insights for coaches and analysts, and advancing natural language processing and multi-modal learning techniques.