Please use this identifier to cite or link to this item: doi:10.22028/D291-38849
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Title: Descriptively Adequate and Cognitively Plausible? Validating Distinctions between Types of Coherence Relations
Author(s): Scholman, Merel Cleo Johanna
Demberg, Vera
Sanders, Ted J.M.
Language: English
Title: Discours : revue de linguistique, psycholinguistique et informatique
Issue: 30
Publisher/Platform: [Verlag nicht ermittelbar]
Year of Publication: 2022
Free key words: discourse
coherence relations
cognitive plausibility
descriptive adequacy
discourse theories
DDC notations: 400 Language, linguistics
Publikation type: Journal Article
Abstract: A central issue in linguistics concerns the relationship between theories and evidence in data. We investigate this issue in the field of discourse coherence, and particularly the study of coherence relations such as causal and contrastive. Proposed inventories of coherence relations differ greatly in the type and number of proposed relations. Such proposals are often validated by focusing on either the descriptive adequacy (researcher’s intuitions on textual interpretations) or the cognitive plausibility of distinctions (empirical research on cognition). We argue that both are important, and note that the concept of cognitive plausibility is in need of a concrete definition and quantifiable operationalization. This contribution focuses on how the criterion of cognitive plausibility can be operationalized and presents a systematic validation approach to evaluate discourse frameworks. This is done by detailing how various sources of evidence can be used to support or falsify distinctions between coherence relational labels. Finally, we present methodological issues regarding verification and falsification that are of importance to all discourse researchers studying the relationship between theory and data.
DOI of the first publication: 10.4000/discours.12075
URL of the first publication: https://journals.openedition.org/discours/12075
Link to this record: urn:nbn:de:bsz:291--ds-388499
hdl:20.500.11880/35025
http://dx.doi.org/10.22028/D291-38849
ISSN: 1963-1723
Date of registration: 30-Jan-2023
Faculty: MI - Fakultät für Mathematik und Informatik
Department: MI - Informatik
Professorship: MI - Prof. Dr. Vera Demberg
Collections:SciDok - Der Wissenschaftsserver der Universität des Saarlandes

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