Automated Event Recognition for Football Commentary Generation

Automated Event Recognition for Football Commentary Generation

Maliang Zheng (University of York, UK) and Daniel Kudenko (University of York, UK)
DOI: 10.4018/jgcms.2010100105
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Abstract

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.
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Championship Manager

This section briefly summarizes our experimental domain, the Championship Manager game (CM1) 2008, presenting both the trace data specification and the game log simulation aspects.

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