Automated Event Recognition for Football Commentary Generation
Maliang Zheng, Daniel Kudenko⋆ · International Journal of Gaming and Computer-Mediated Simulations · 2010
The enjoyment of many games can be enhanced by in-game commentaries. In this paper, the authors focus on the automatic generation of commentaries for football games, using Championship Manager as a case study. The basis of this approach is a real-time mapping of game states to commentary concepts, such as “dangerous situation for team A”. While in some cases it is feasible to provide such a mapping by hand-coding, in some cases it is not straight-forward because the meaning of the concepts cannot be easily formalized. In these cases, the authors propose to use inductive learning techniques that learn such a mapping from annotated game traces.