QUEST: A model of question answering☆

By A. Graesser, S. Gordon, Lawrence E. Brainerd. 1992

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Citations in the corpus

Explanation in Human-AI Systems: A Literature Meta-Review, Synopsis of Key Ideas and Publications, and Bibliography for Explainable AI (2019, background): “…Bansal, 2018; Bansal, Farhadi, 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,…”
Generating Factoid Questions With Recurrent Neural Networks: The 30M Factoid Question-Answer Corpus (2016, methodology): “After the identification of key points, Chen et al. (2009) apply handcrafted-templates to generate questions framed in the right target expression by 2www.agarciaduran.org following the analysis of Graesser et al. (1992), who classify questions according to a taxonomy consisting of 18 categories.”
How does one know whether a person understands a device? The quality of the questions the person asks when the device breaks down. (2003, methodology): “It should noted that conceptual graph structures were prepared for each of the six devices, following an analytical scheme that captures both text and pictures in one common representation (Baggett & Graesser, 1995; Graesser et al., 1992).”
PREG: Elements of a Model of Question Asking (2001, methodology): “The links that we adopted in our conceptual graph structures (see Figure 1) were the same as those used in Graesser and Clark (1985) and Graesser, Gordon, and Brainerd (1992).”