Learning to predict script events from domain-specific text
Rachel Rudinger, Vera Demberg, Ashutosh Modi, Benjamin Van Durme, Manfred Pinkal · 2015
The automatic induction of scripts (Schank and Abelson, 1977) has been the focus of many recent works.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 (Chambers and Jurafsky, 2008).