In this paper, we employ a variety of these methods to learn Schank and Abelson's canonical restaurant script, using a novel dataset of restaurant narratives we have compiled from a website called "Dinners from Hell." Our models learn narrative chains, script-like structures that we evaluate with the "narrative cloze" task<cite> (Chambers and Jurafsky, 2008)</cite> .