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Abstract: "Procedural generation of games has become an active re- search eld. We present a system that automatically gen- erates an interactive ction (IF) by learning from crowd- sourced corpora of example stories. We ask crowd workers from Amazon Mechanical Turk to write short stories about a given situation with simple language, from which a plot graph is learned, containing plot events, temporal prece- dence and mutual exclusion relations between the events. The plot graph describes an IF where players and non-player characters choose from executable events as determined by the plot graph. We demonstrate an IF learned from the domain of bank robbery"