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We have proposed an expandable dialog scenario description and platform to manage dialog systems using a weighted finite-state transducer (WFST) in which user concept and system action tags are input and output of the transducer, respectively. In this paper, we apply this framework to statistical dialog management in which a dialog strategy is acquired from a corpus of human-to-human conversation for hotel reservation. A scenario WFST for dialog management was automatically created from andoi:10.1109/icassp.2009.4960703 dblp:conf/icassp/HoriOMKN09 fatcat:7rcayjn6ujakzkw6j6teiqr3ru