Question answering in the context of stories

By A. Graesser, K. Lang, Richard M. Roberts. 1991

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Explanation in Human-AI Systems: A Literature Meta-Review, Synopsis of Key Ideas and Publications, and Bibliography for Explainable AI (2019, background): “…and Parikh, 2014; Brezillon and Pomerol, 1997; Core, et al., 2006; Graesser and Franklin, 1990; Goguen et al., 1983; Graesser, Gordon, and Brainerd, 1992; Graesser, Lang, and Roberts, 1991; Sacks and Schegloff, 1974; Suthers, Woolf and Cornell, 1992; Walton, 2004, 1007, 2011; Weiner, 1989).”
Question Answering in the Context of Stories Generated by Computers (2016, methodology): “Instead, we focus on the evaluation with the context closest to ours: answering questions about stories (Graesser & Murachver, 1985; Graesser et al., 1991).”
Automated Storytelling via Causal, Commonsense Plot Ordering (2020, background): “The second clause draws upon a theory of the role of character goal hierarchies in story understanding by Graesser, Lang, and Roberts (1991): readers attempt to understand “why” things happen by tracking and predicting character goal hierarchies.”
Narrative Planning: Balancing Plot and Character (2010, methodology): “The QUEST model (Graesser et al., 1991) accounts for the goodness-of-answer (GOA) judgments for questions asked about passages of prose.”