Focuses on the role of cognitive structures in the reader's knowledge. Argues that causality is an important category in structuring human knowledge and that this property has consequences for text processing. Discusses research illustrating that the more the information in the text reflects causal categories, the more easily the information is…

Introduces the Knowledge Digraph Contribution (KDC) data-analysis methodology for quantitatively measuring the degree to which a given knowledge digraph can account for the occurrence of specific sequences of propositions in recall, summarization, talk-aloud and question-answering protocol data. Notes the applicability of this approach to the…

Notes that memory-based text processing (MBP) is a label that has been used to refer to a theoretical perspective shared by contributors to this special issue. Defines the domain addressed by MBP; identifies the major shared assumptions of researchers representing the MBP perspective; and raises some challenges for MBP researchers. (SR)