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date: 03 August 2020

Abstract and Keywords

Although models of discourse comprehension share many local coherence processing assumptions, the primary distinction that separates these models is how readers gain access to inactive portions of memory. Strategy-based models contain the assumption that readers actively search the long-term memory representation of the text for information relevant to the contents of working memory. In contrast, in memory-based models, inactive information that is related to the current input is activated via a passive resonance mechanism. Three topics within the research on reading comprehension are reviewed in which strategy-based and memory-based models make differing predictions: necessary inferences, elaborative inferences, and the maintenance of global coherence. The chapter demonstrates that the empirical evidence overwhelmingly supports the memory-based view, and offers new questions in an attempt to spur further research in reading comprehension.

Keywords: comprehension, memory-based models, strategy-based models, inference, global coherence, RI-Val model

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