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Automated Event Recognition for Football Commentary Generation

Automated Event Recognition for Football Commentary Generation

Maliang Zheng, Daniel Kudenko
Copyright: © 2010 |Volume: 2 |Issue: 4 |Pages: 18
ISSN: 1942-3888|EISSN: 1942-3896|EISBN13: 9781613502532|DOI: 10.4018/jgcms.2010100105
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MLA

Zheng, Maliang, and Daniel Kudenko. "Automated Event Recognition for Football Commentary Generation." IJGCMS vol.2, no.4 2010: pp.67-84. http://doi.org/10.4018/jgcms.2010100105

APA

Zheng, M. & Kudenko, D. (2010). Automated Event Recognition for Football Commentary Generation. International Journal of Gaming and Computer-Mediated Simulations (IJGCMS), 2(4), 67-84. http://doi.org/10.4018/jgcms.2010100105

Chicago

Zheng, Maliang, and Daniel Kudenko. "Automated Event Recognition for Football Commentary Generation," International Journal of Gaming and Computer-Mediated Simulations (IJGCMS) 2, no.4: 67-84. http://doi.org/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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