Bitte benutzen Sie diese Referenz, um auf diese Ressource zu verweisen: doi:10.22028/D291-38849
Volltext verfügbar? / Dokumentlieferung
Titel: Descriptively Adequate and Cognitively Plausible? Validating Distinctions between Types of Coherence Relations
VerfasserIn: Scholman, Merel Cleo Johanna
Demberg, Vera
Sanders, Ted J.M.
Sprache: Englisch
Titel: Discours : revue de linguistique, psycholinguistique et informatique
Heft: 30
Verlag/Plattform: [Verlag nicht ermittelbar]
Erscheinungsjahr: 2022
Freie Schlagwörter: discourse
coherence relations
cognitive plausibility
descriptive adequacy
discourse theories
DDC-Sachgruppe: 400 Sprache, Linguistik
Dokumenttyp: Journalartikel / Zeitschriftenartikel
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 der Erstveröffentlichung: 10.4000/discours.12075
URL der Erstveröffentlichung: https://journals.openedition.org/discours/12075
Link zu diesem Datensatz: urn:nbn:de:bsz:291--ds-388499
hdl:20.500.11880/35025
http://dx.doi.org/10.22028/D291-38849
ISSN: 1963-1723
Datum des Eintrags: 30-Jan-2023
Fakultät: MI - Fakultät für Mathematik und Informatik
Fachrichtung: MI - Informatik
Professur: MI - Prof. Dr. Vera Demberg
Sammlung:SciDok - Der Wissenschaftsserver der Universität des Saarlandes

Dateien zu diesem Datensatz:
Es gibt keine Dateien zu dieser Ressource.


Alle Ressourcen in diesem Repository sind urheberrechtlich geschützt.