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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 access
Sanders, Ted J. M., Spooren, Wilbert P. M., Noordman, Leo G. M.·1992·Discourse Processes

Abstract

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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Metadata

Authors
Sanders, T. J. M., Spooren, W. P. M., & Noordman, L. G. M.
Venue
Discourse Processes
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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CoChat. (2026). Citation check: Toward a taxonomy of coherence relations. https://app.cochat.ai/papers/10.1080/01638539209544800
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Sanders, T. J. M., Spooren, W. P. M., & Noordman, L. G. M. (1992). Toward a taxonomy of coherence relations. Discourse Processes. https://doi.org/10.1080/01638539209544800

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

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