Narrative text comprehension: from psychology to AI
Irene‐Anna N. Diakidoy, Antonis C. Kakas, Michael Loizou, Ross Miller · 2013
This paper reports on how work in psychology can inform research into automated narrative text comprehension. Specifically, we describe psychology’s view of how human readers combine information from text with their own commonsense world knowledge to build a single coherent model of a narrative. We present a framework that formalizes, using a suitable form of preference-based argumentation, this notion of comprehension and outline how this might form the basis for partially mechanizing the process of comprehension.