Topic
Coherence (statistics)
About: Coherence (statistics) is a research topic. Over the lifetime, 8812 publications have been published within this topic receiving 165339 citations.
Papers published on a yearly basis
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Papers
TL;DR: A review of over 50 empirical studies of coherence suggests robust findings of local bias in ASD, with mixed findings regarding weak global processing.
Abstract: "Weak central coherence" refers to the detail-focused processing style proposed to characterise autism spectrum disorders (ASD). The original suggestion of a core deficit in central processing resulting in failure to extract global form/meaning, has been challenged in three ways. First, it may represent an outcome of superiority in local processing. Second, it may be a processing bias, rather than deficit. Third, weak coherence may occur alongside, rather than explain, deficits in social cognition. A review of over 50 empirical studies of coherence suggests robust findings of local bias in ASD, with mixed findings regarding weak global processing. Local bias appears not to be a mere side-effect of executive dysfunction, and may be independent of theory of mind deficits. Possible computational and neural models are discussed.
2,873 citations
TL;DR: It is proposed that concepts are coherent to the extent that they fit people's background knowledge or naive theories about the world and to structure the attributes that are internal to a concept.
Abstract: The question of what makes a concept coherent (what makes its members form a comprehensible class) has received a variety of answers. In this article we review accounts based on similarity, feature correlations, and various theories of categorization. We find that each theory provides an inadequate account of conceptual coherence (or no account at all) because none provides enough constraints on possible concepts. We propose that concepts are coherent to the extent that they fit people's background knowledge or naive theories about the world. These theories help to relate the concepts in a domain and to structure the attributes that are internal to a concept. Evidence of the influence of theories on various conceptual tasks is presented, and the possible importance of theories in cognitive development is discussed.
2,778 citations
TL;DR: In this article, a rigorous framework for quantification of coherence and identification of intuitive and easily computable measures for coherence has been proposed by adopting coherence as a physical resource.
Abstract: We introduce a rigorous framework for the quantification of coherence and identify intuitive and easily computable measures of coherence We achieve this by adopting the viewpoint of coherence as a physical resource By determining defining conditions for measures of coherence we identify classes of functionals that satisfy these conditions and other, at first glance natural quantities, that do not qualify as coherence measure We conclude with an outline of the questions that remain to be answered to complete the theory of coherence as a resource
2,590 citations
TL;DR: Interactions between local coherence and choice of referring expressions are examined; it is argued that differences in coherence correspond in part to the inference demands made by different types of referring expression, given a particular attentional state.
Abstract: This paper concerns relationships among focus of attention, choice of referring expression, and perceived coherence of utterances within a discourse segment. It presents a framework and initial theory of centering intended to model the local component of attentional state. The paper examines interactions between local coherence and choice of referring expressions; it argues that differences in coherence correspond in part to the inference demands made by different types of referring expressions, given a particular attentional state. It demonstrates that the attentional state properties modeled by centering can account for these differences.
2,132 citations
2 Feb 2015
TL;DR: This work is the first to propose a framework that allows to construct existing word based coherence measures as well as new ones by combining elementary components, and shows that new combinations of components outperform existing measures with respect to correlation to human ratings.
Abstract: Quantifying the coherence of a set of statements is a long standing problem with many potential applications that has attracted researchers from different sciences. The special case of measuring coherence of topics has been recently studied to remedy the problem that topic models give no guaranty on the interpretablity of their output. Several benchmark datasets were produced that record human judgements of the interpretability of topics. We are the first to propose a framework that allows to construct existing word based coherence measures as well as new ones by combining elementary components. We conduct a systematic search of the space of coherence measures using all publicly available topic relevance data for the evaluation. Our results show that new combinations of components outperform existing measures with respect to correlation to human ratings. nFinally, we outline how our results can be transferred to further applications in the context of text mining, information retrieval and the world wide web.
2,011 citations
Related Topics (5)
Performance Metrics
| Year | Papers |
|---|---|
| 2022 | 5 |
| 2021 | 688 |
| 2020 | 503 |
| 2019 | 486 |
| 2018 | 468 |
| 2017 | 458 |