QUEST: A cognitive model of question answering

By A. Graesser, S. Franklin. 1990

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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): “…and Croitoru, 2017; Arioua and Croitoru, 2015; 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,…”
The impact of relational markers on expository text comprehension in L1 and L2 (2002, background): “In expository texts, the role of causal relations is to convey important contingency relations among states and events ( Graesser & Franklin 1990 ).”
Question Answering in the Context of Stories Generated by Computers (2016, methodology): “Tables 2 and 3 specify the nodes and arcs we cover, respectively, but Graesser and Franklin (1990) and Graesser et al. (1991) discuss the full range of structures.”
Constructing inferences during narrative text comprehension. (1994, background): “As discussed earlier , research on human question answering has strongly established that why , how , and what - happened - next questions are selective in extracting par - ticular inferences ( Graesser & Franklin , 1990 ; Graesser et al .”
Scientific Literacy: The Role of Goal-Directed Reading and Evaluation in Understanding Scientific Information (2014, background): “The elements of a mental model for the scientific phenomena (Graesser & Franklin, 1990; Johnson-Laird, 1983; Mayer, Dyck, & Cook, 1984) would include nonhuman entities (e.g., vehicles, farms, forests) in addition to agents (e.g., humans) presented as states (e.g., trees are in the soil, greenhouse…”