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The role of knowledge in discourse comprehension: A construction-integration model.
Abstract
In contrast to expectation-based, predictive views of discourse comprehension, a model is developed in which the initial processing is strictly bottom-up. Word meanings are activated, propositions are formed, and inferences and elaborations are produced without regard to the discourse context. However, a network of interrelated items is created in this manner, which can be integrated into a coherent structure through a spreading activation process. Data concerning the time course of word identification in a discourse context are examined. A simulation of arithmetic word-problem under-standing provides a plausible account for some well-known phenomena in this area. Discourse comprehension, from the viewpoint of a computa-tional theory, involves constructing a representation of a dis-course upon which various computations can be performed, the outcomes of which are commonly taken as evidence for com-prehension. Thus, after comprehending a text, one might rea-sonably expect to be able to answer questions about it, recall or summarize it, verify statements about it, paraphrase it, and SO on.
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Metadata
- Authors
- Kintsch, W.
- Venue
- Psychological Review
- Published
- 1988
- Volume
- 95
- Issue
- 2
- Pages
- 163-182
- ISSN
- 0033-295X (ISSN-L)
- 1939-1471
- OpenAlex
- W2084015864
- Cited by
- 4,363
- References
- 2
- FWCI
- 77.37
- Type
- journal article
- Language
- en
- Open access
- closed
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