An ASP Methodology for Understanding Narratives about Stereotypical Activities
Daniela Inclezan, Qinglin Zhang, Marcello Balduccini, Ankush Israney · Theory and Practice of Logic Programming · 2018
Abstract We describe an application of Answer Set Programming to the understanding of narratives about stereotypical activities, demonstrated via question answering. Substantial work in this direction was done by Erik Mueller, who modeled stereotypical activities asscripts. His systems were able to understand a good number of narratives, but could not process texts describing exceptional scenarios. We propose addressing this problem by using a theory of intentions developed by Blount, Gelfond, and Balduccini. We present a methodology in which we substitute scripts byactivities(i.e., hierarchical plans associated with goals) and employ the concept of anintentional agentto reason about both normal and exceptional scenarios. We exemplify the application of this methodology by answering questions about a number of restaurant stories. This paper is under consideration for acceptance in TPLP.