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What plausibly affects plausibility?: concept coherence and distributional word coherence as factors influencing plausibility judgments

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What plausibly affects plausibility? concept coherence and distributional word coherence as factors influencing plausibility judgments. / Connell, Louise; Keane, Mark T.
In: Memory and Cognition, Vol. 32, No. 2, 03.2004, p. 185-197.

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@article{9fd64c9f67ec478883aa7e81118975c0,
title = "What plausibly affects plausibility?: concept coherence and distributional word coherence as factors influencing plausibility judgments",
abstract = "Our goal was to investigate the basis of human plausibility judgements. Previous research had suggested that plausibility is affected by two factors: concept coherence (the inferences made between parts of a discourse) and word coherence (the distributional properties of the words used). In two experiments, participants were asked to rate the plausibility of sentence pairs describing events. In the first, we manipulated concept coherence by using different inference types to link the sentences in a pair (e.g., causal or temporal). In the second, we manipulated word coherence by using latent semantic analysis, so two sentence pairs describing the same event had different distributional properties. The results showed that inference type affects plausibility; sentence pairs linked by causal inferences were rated highest, followed by attributal, temporal, and unrelated inferences. The distributional manipulations had no reliable effect on plausibility ratings. We conclude that the processes involved in rating plausibility are based on evaluating concept coherence, not word coherence.",
keywords = "Cognition, Humans, Judgment, Linguistics, Vocabulary",
author = "Louise Connell and Keane, {Mark T.}",
year = "2004",
month = mar,
doi = "10.3758/BF03196851",
language = "English",
volume = "32",
pages = "185--197",
journal = "Memory and Cognition",
issn = "0090-502X",
publisher = "Springer New York",
number = "2",

}

RIS

TY - JOUR

T1 - What plausibly affects plausibility?

T2 - concept coherence and distributional word coherence as factors influencing plausibility judgments

AU - Connell, Louise

AU - Keane, Mark T.

PY - 2004/3

Y1 - 2004/3

N2 - Our goal was to investigate the basis of human plausibility judgements. Previous research had suggested that plausibility is affected by two factors: concept coherence (the inferences made between parts of a discourse) and word coherence (the distributional properties of the words used). In two experiments, participants were asked to rate the plausibility of sentence pairs describing events. In the first, we manipulated concept coherence by using different inference types to link the sentences in a pair (e.g., causal or temporal). In the second, we manipulated word coherence by using latent semantic analysis, so two sentence pairs describing the same event had different distributional properties. The results showed that inference type affects plausibility; sentence pairs linked by causal inferences were rated highest, followed by attributal, temporal, and unrelated inferences. The distributional manipulations had no reliable effect on plausibility ratings. We conclude that the processes involved in rating plausibility are based on evaluating concept coherence, not word coherence.

AB - Our goal was to investigate the basis of human plausibility judgements. Previous research had suggested that plausibility is affected by two factors: concept coherence (the inferences made between parts of a discourse) and word coherence (the distributional properties of the words used). In two experiments, participants were asked to rate the plausibility of sentence pairs describing events. In the first, we manipulated concept coherence by using different inference types to link the sentences in a pair (e.g., causal or temporal). In the second, we manipulated word coherence by using latent semantic analysis, so two sentence pairs describing the same event had different distributional properties. The results showed that inference type affects plausibility; sentence pairs linked by causal inferences were rated highest, followed by attributal, temporal, and unrelated inferences. The distributional manipulations had no reliable effect on plausibility ratings. We conclude that the processes involved in rating plausibility are based on evaluating concept coherence, not word coherence.

KW - Cognition

KW - Humans

KW - Judgment

KW - Linguistics

KW - Vocabulary

U2 - 10.3758/BF03196851

DO - 10.3758/BF03196851

M3 - Journal article

C2 - 15190712

VL - 32

SP - 185

EP - 197

JO - Memory and Cognition

JF - Memory and Cognition

SN - 0090-502X

IS - 2

ER -