The DOI matches its Crossref record; 37 of the 37 references it cites were found in a registry or an index.
Toward a taxonomy of coherence relations
Open accessAbstract
Understanding a discourse means constructing a coherent representation of that discourse. Inferring coherence relations, such as cause‐consequence and claim‐argument, is a necessary condition for a discourse representation to be coherent. Despite some descriptively fairly adequate proposals in the literature, there is still no theoretically satisfying account of the links that make a discourse coherent. An adequate account of the relations establishing coherence has to be psychologically plausible, because coherence relations are ultimately cognitive relations. We are proposing a taxonomy that classifies coherence relations in terms of four cognitively salient primitives, such as the polarity of the relation and the pragmatic or semantic character of the link between the units. A classification experiment using fragments of written discourse showed that the 12 classes of coherence relations distinguished in the taxonomy appear to be intuitively plausible and applicable. A second experiment investigating the use of connectives provided further evidence for the psychological salience of the taxonomic primitives and their relevance to the understanding of coherence relations.
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Getting a life: The emergence of the life story in adolescence.
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Automated Evaluation of Text and Discourse with Coh-Metrix
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Rhetorical Structure Theory: looking back and moving ahead
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The Role of Coherence Relations and Their Linguistic Markers in Text Processing
Sanders, T. J. M., & Noordman, L. G. M. (2000) · Discourse Processes · doi:10.1207/s15326950dp2901_3 · Cited by 405
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Metadata
- Authors
- Sanders, T. J. M., Spooren, W. P. M., & Noordman, L. G. M.
- Venue
- Discourse Processes
- Publisher
- Informa UK Limited
- Published
- 1992-01
- Volume
- 15
- Issue
- 1
- Pages
- 1-35
- ISSN
- 0163-853X (ISSN-L)
- 1532-6950
- OpenAlex
- W1985661114
- Cited by
- 800
- References
- 37
- FWCI
- 42.25
- Type
- journal article
- Language
- en
- Open access
- green
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.