TY - JOUR
T1 - Automated Event Recognition for Football Commentary Generation
AU - Zheng, Maliang
AU - Kudenko, Daniel
PY - 2010/10
Y1 - 2010/10
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=79953087943&partnerID=8YFLogxK
U2 - 10.4018/jgcms.2010100105
DO - 10.4018/jgcms.2010100105
M3 - Article
SN - 1942-3896
VL - 2
SP - 67
EP - 84
JO - International Journal of Gaming and Computer-Mediated Simulations
JF - International Journal of Gaming and Computer-Mediated Simulations
IS - 4
ER -