Inferring Event Causality in Films via Common Knowledge Corpora

Ben Aidlin, Armin Shmilovici, Mark Last

Abstract: Human understanding of a movie plot is partially driven by our ability to reason about the causal relations between events. Thus, recognizing causal chains of events is a key requirement for computational models of movie understanding. In this paper, we propose to use available corpora of common-sense knowledge about human behavior for automatically inferring event causality in movie scenes.