The DOI matches its Crossref record.
Scale Structure, Degree Modification, and the Semantics of Gradable Predicates
Open accessAbstract
In this article we develop a semantic typology of gradable predicates, with special emphasis on deverbal adjectives. We argue for the linguistic relevance of this typology by demonstrating that the distribution and interpretation of degree modifiers is sensitive to its two major classificatory parameters: (1) whether a gradable predicate is associated with what we call an open or closed scale, and (2) whether the standard of comparison for the applicability of the predicate is absolute or relative to a context. We further show that the classification of an important subclass of adjectives within the typology is largely predictable. Specifically, the scale structure of a deverbal gradable adjective correlates either with the algebraic part structure of the event denoted by its source verb or with the part structure of the entities to which the adjective applies. These correlations underscore the fact that gradability is characteristic not only of adjectives but also of verbs and nouns, and that scalar properties are shared by categorially distinct but derivationally related expressions.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
Vagueness and grammar: the semantics of relative and absolute gradable adjectives
Kennedy, C. (2007) · Linguistics and Philosophy · doi:10.1007/s10988-006-9008-0 · Cited by 1,315
Self-citationGatt, A., & Krahmer, E. (2018) · Journal of Artificial Intelligence Research · doi:10.1613/jair.5477 · Cited by 776
When redundancy is useful: A Bayesian approach to “overinformative” referring expressions
Degen, J., Hawkins, R. D., Graf, C., Kreiss, E., & Goodman, N. D. (2020) · Psychological Review · doi:10.1037/rev0000186 · Cited by 90
Rubio-Fernandez, P., Mollica, F., & Jara-Ettinger, J. (2021) · Journal of Experimental Psychology: General · doi:10.1037/xge0000963 · Cited by 37
Metadata
- Authors
- Kennedy, C., & McNally, L.
- Venue
- Language
- Publisher
- Cambridge University Press (CUP)
- Published
- 2005-06
- Volume
- 81
- Issue
- 2
- Pages
- 345-381
- ISSN
- 0097-8507 (ISSN-L)
- 1535-0665
- OpenAlex
- W2136944077
- Cited by
- 1,260
- References
- 0
- FWCI
- 151.18
- Type
- journal article
- Language
- en
- Open access
- bronze
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Scale Structure, Degree Modification, and the Semantics of Gradable Predicates. https://app.cochat.ai/papers/10.1353/lan.2005.0071
- The paper
- Kennedy, C., & McNally, L. (2005). Scale Structure, Degree Modification, and the Semantics of Gradable Predicates. Language. https://doi.org/10.1353/lan.2005.0071
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.