Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 261

The DOI matches its Crossref record; 66 of the 66 references it cites were found in a registry or an index.

Centering attention in discourse

Brennan, Susan E.·1995·Language and Cognitive Processes

Abstract

Centering is a set of processes by which people can coordinate their attention during conversation. Speakers signal where their attention is via particular lexical, syntactic and prosodic choices. These choices make discourse entities salient to addressees and may also signal whether speakers expect addressees' attention to be already centered on the same entities. Two questions arise: What linguistic devices do speakers use to make an entity salient in a discourse? And how do speakers re-refer to discourse entities that move in and out of the center of attention? I manipulated speakers' center of attention using a videotaped basketball game. Speakers tended to refer to prominent entities as sentence subjects. When they referred to entities as sentence objects, they were more likely to re-refer next by repeating the full noun phrase verbatim rather than pronominalising. This happened even though both a recency-of-mention strategy and world knowledge would have provided enough information to uniquely identify the referent of a pronoun. When speakers pronominalised entities that had not been centered syntactically, they tended to make them salient prosodically by lengthening the duration of those pronouns.

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.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1080/01690969508407091

Cites

66 of 66 references verified0 citation errors · 0 not checkable

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.

A few free checks a day · papers already verified open instantly · results are public

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

Cites

Show all 66 references

Cited by

See all 261

Metadata

Authors
Brennan, S. E.
Venue
Language and Cognitive Processes
Published
1995-05
Volume
10
Issue
2
Pages
137-167
ISSN
  • 0169-0965 (ISSN-L)
  • 1464-0732
OpenAlex
W2075806525
Cited by
261
References
66
FWCI
40.34
Type
journal article
Language
en
Open access
closed

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: Centering attention in discourse. https://app.cochat.ai/papers/10.1080/01690969508407091
The paper
Brennan, S. E. (1995). Centering attention in discourse. Language and Cognitive Processes. https://doi.org/10.1080/01690969508407091

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.