Machine Learning
Character Design for Soccer Commentary
RoboCup-98: Robot Soccer World Cup II
Rocco: A RoboCup Soccer Commentator System
RoboCup-98: Robot Soccer World Cup II
MIKE: An Automatic Commentary System for Soccer
ICMAS '98 Proceedings of the 3rd International Conference on Multi Agent Systems
Reactive content selection in the generation of real-time soccer commentary
COLING '98 Proceedings of the 17th international conference on Computational linguistics - Volume 2
Efficient learning of Naive Bayes classifiers under class-conditional classification noise
ICML '06 Proceedings of the 23rd international conference on Machine learning
Data Mining: Practical Machine Learning Tools and Techniques, Second Edition (Morgan Kaufmann Series in Data Management Systems)
The WEKA data mining software: an update
ACM SIGKDD Explorations Newsletter
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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.