scholarly journals Warm (for Winter): Inferring comparison classes for gradable adjectives

2020 ◽  
Author(s):  
Michael Henry Tessler ◽  
Noah D. Goodman
Keyword(s):  
Large Scale ◽  
Gradable Adjectives ◽  
Language Understanding ◽  
Comparison Class ◽  
Scale Free ◽  
Context Sensitive ◽  
Bayesian Data Analysis ◽  
Production Experiment ◽  
Pragmatic Reasoning ◽  
Basic Level

The meaning of an utterance can change depending on the context. Yet, what counts as context is often only implicit in everyday conversation. The utterance “it’s warm outside” signals that the temperature outside is relatively high, but the temperature could be high relative to a number of different comparison classes: other days of the year, other weeks, other seasons, etc. Theories of context-sensitive language use agree that the comparison class is a crucial feature of meaning understanding, but little is known about how a listener decides upon a comparison class. We extend a Bayesian model of pragmatic reasoning to be able to reason flexibly about the comparison class intended by the speaker and test the qualitative predictions of this model using a large-scale free-production experiment. We then quantitatively synthesize the model and data using Bayesian data analysis, which further reveals that usage frequency and a preference for basic-level categories are two main contributors to comparison class inference. The methods and results we present open the door to studying richer aspects of context-sensitive language understanding.

scholarly journals Processing gradable adjectives in context: A Visual World study

2016 ◽  
Vol 25 ◽  
pp. 413 ◽  
Author(s):  
Helena Aparicio ◽  
Ming Xiang ◽  
Christopher Kennedy
Keyword(s):  
Target Identification ◽  
Visual Context ◽  
Facilitation Effect ◽  
Gradable Adjectives ◽  
Visual World ◽  
Context Sensitive ◽  
Processing Cost ◽  
The Status ◽  
Pragmatic Reasoning

Both relative adjectives (RAs) like ‘big’ and absolute adjectives (AAs) like ‘empty’ are sensitive to the context: in the former case, the context determines how much size is required to count as big; in the latter, the context determines how much deviation from total emptiness is allowed to count as empty. Whereas it is generally agreed that the role of context with RAs is to fix the value of a threshold variable, the status of absolute adjective thresholds, and therefore the role of context in their interpretation, remains an object of debate. Some researchers have argued that all gradable adjectives have context-sensitive threshold variables that are assigned values by the same mechanisms (Lassiter & Goodman 2013). Others have claimed that AAs have fixed, endpoint-oriented meanings and that sensitivity to context arises from pragmatic reasoning about imprecision (Kennedy 2007; Syrett, Kennedy & Lidz 2009; van Rooij 2011; Burnett 2014; Qing & Franke 2014). In an eye-tracking Visual World experiment, we investigate RAs and AAs used as restrictive modifiers. We find that target identification is significantly faster for both types of adjectives when the visual context supports a restrictive interpretation of the predicate, although this effect is considerably delayed in the case of AAs. We conclude that for RAs, the target facilitation effect is driven by the lexical semantics of the predicate itself. However, it is argued that the extra processing cost observed with AAs results from pragmatic reasoning about imprecision. 

scholarly journals Dynamic relationships between spontaneous and evoked electrophysiological activity

2021 ◽  
Vol 4 (1) ◽  
Author(s):  
Soren Wainio-Theberge ◽  
Annemarie Wolff ◽  
Georg Northoff
Keyword(s):  
Neural Activity ◽  
Large Scale ◽  
Behavioral Outcomes ◽  
Low Frequencies ◽  
Scale Free ◽  
Non Invasive ◽  
Spontaneous Neural Activity ◽  
Electrophysiological Signals ◽  
Evoked Activity ◽  
Dynamic Relationships

AbstractSpontaneous neural activity fluctuations have been shown to influence trial-by-trial variation in perceptual, cognitive, and behavioral outcomes. However, the complex electrophysiological mechanisms by which these fluctuations shape stimulus-evoked neural activity remain largely to be explored. Employing a large-scale magnetoencephalographic dataset and an electroencephalographic replication dataset, we investigate the relationship between spontaneous and evoked neural activity across a range of electrophysiological variables. We observe that for high-frequency activity, high pre-stimulus amplitudes lead to greater evoked desynchronization, while for low frequencies, high pre-stimulus amplitudes induce larger degrees of event-related synchronization. We further decompose electrophysiological power into oscillatory and scale-free components, demonstrating different patterns of spontaneous-evoked correlation for each component. Finally, we find correlations between spontaneous and evoked time-domain electrophysiological signals. Overall, we demonstrate that the dynamics of multiple electrophysiological variables exhibit distinct relationships between their spontaneous and evoked activity, a result which carries implications for experimental design and analysis in non-invasive electrophysiology.

Advanced CFD Simulations of free-surface flows around modern sailing yachts using a newly developed openFOAM solver

2016 ◽  
Author(s):  
Janek Meyer ◽  
Hannes Renzsch ◽  
Kai Graf ◽  
Thomas Slawig
Keyword(s):  
Free Surface ◽  
Large Scale ◽  
Breaking Waves ◽  
Free Surface Flows ◽  
Body Motion ◽  
Computational Time ◽  
Efficient Computation ◽  
Surface Flows ◽  
Scale Free ◽  
Wide Range

While plain vanilla OpenFOAM has strong capabilities with regards to quite a few typical CFD-tasks, some problems actually require additional bespoke solvers and numerics for efficient computation of high-quality results. One of the fields requiring these additions is the computation of large-scale free-surface flows as found e.g. in naval architecture. This holds especially for the flow around typical modern yacht hulls, often planing, sometimes with surface-piercing appendages. Particular challenges include, but are not limited to, breaking waves, sharpness of interface, numerical ventilation (aka streaking) and a wide range of flow phenomenon scales. A new OF-based application including newly implemented discretization schemes, gradient computation and rigid body motion computation is described. In the following the new code will be validated against published experimental data; the effect on accuracy, computational time and solver stability will be shown by comparison to standard OF-solvers (interFoam / interDyMFoam) and Star CCM+. The code’s capabilities to simulate complex “real-world” flows are shown on a well-known racing yacht design.

scholarly journals Decoding brain activity using a large-scale probabilistic functional-anatomical atlas of human cognition

2016 ◽  
Author(s):  
Timothy N. Rubin ◽  
Oluwasanmi Koyejo ◽  
Krzysztof J. Gorgolewski ◽  
Michael N. Jones ◽  
Russell A. Poldrack ◽  
...  
Keyword(s):  
Large Scale ◽  
Latent Dirichlet Allocation ◽  
Topic Model ◽  
Brain Activity ◽  
Human Cognition ◽  
Brain Images ◽  
Whole Brain ◽  
Context Sensitive ◽  
Cognitive States ◽  
Small Set

AbstractA central goal of cognitive neuroscience is to decode human brain activity--i.e., to infer mental processes from observed patterns of whole-brain activation. Previous decoding efforts have focused on classifying brain activity into a small set of discrete cognitive states. To attain maximal utility, a decoding framework must be open-ended, systematic, and context-sensitive--i.e., capable of interpreting numerous brain states, presented in arbitrary combinations, in light of prior information. Here we take steps towards this objective by introducing a Bayesian decoding framework based on a novel topic model---Generalized Correspondence Latent Dirichlet Allocation---that learns latent topics from a database of over 11,000 published fMRI studies. The model produces highly interpretable, spatially-circumscribed topics that enable flexible decoding of whole-brain images. Importantly, the Bayesian nature of the model allows one to “seed” decoder priors with arbitrary images and text--enabling researchers, for the first time, to generative quantitative, context-sensitive interpretations of whole-brain patterns of brain activity.

scholarly journals CrisDi School: disseminating crystallography in Piedmont, Italy

2014 ◽  
Vol 70 (a1) ◽  
pp. C1277-C1277
Author(s):  
Domenica Marabello ◽  
Angelo Agostino ◽  
Piera Benna ◽  
Giovanna Dinardo ◽  
Carlo Lamberti ◽  
...  
Keyword(s):  
Large Scale ◽  
Kinetic Studies ◽  
Research Centre ◽  
Main Task ◽  
X Rays ◽  
X Ray Diffraction ◽  
Time Resolved ◽  
New Methodologies ◽  
The University ◽  
Basic Level

The Interdepartmental Research Centre for the Development of Crystallography (CrisDi) aims to be an institution of reference for researchers at the University of Turin interested on the field of diffraction (X-rays, neutrons and electrons), to promote the knowledge and dissemination of crystallography, and to facilitate the access to available laboratory instrumentation (diffractometers and TEM) and to large scale facilities (synchrotron and neutron sources). CrisDi hosts scientists with interest in the fields of solid state chemistry and physics, organic, inorganic, organometallic and theoretical chemistry, mineralogy, biology, pharmaceutical and agricultural sciences. The Centre encourages the design and the development of new methodologies and applications, and supports the enhancement of the available instruments. The submission of proposals at large scale instruments is encouraged specially for young researchers and PhD students. The cultural and scientific interchange among crystallographers coming from different disciplines is strongly encouraged by CrisDi. A main task of the CrisDi is the annual organization of a post-grade level School with a series of courses dedicated to: (i) basic level crystallography (symmetry, theory of diffraction, crystal-chemistry), diffraction techniques (single crystal and powder X-ray diffraction, neutron and electron scattering); (ii) advanced level (high temperature and high pressure structural studies, macromolecular crystallography, time resolved crystallography and kinetic studies); (iii) spectroscopic approaches (XAFS, XANES, XES and NMR) in crystallography. The school, which is held every year in May for about 20 ECTS equivalent, has no tuition fees and is also open to non-academia people.

On Customers and Costs: A Story from Public Sector Science

1994 ◽  
Vol 7 (3) ◽  
pp. 539-561 ◽  
Author(s):  
John Law ◽  
Madeleine Akrich
Keyword(s):  
Public Sector ◽  
Large Scale ◽  
Management Accounting ◽  
Market Forces ◽  
Accounting System ◽  
Context Sensitive ◽  
The Social ◽  
Social Technologies ◽  
Scientific Laboratory ◽  
Good Seller

The ArgumentIn this we explore some of the ways in which a state scientific laboratory (Daresbury SERC) reacted to the rtetoric and forces of the marketpace in the 1980s. We describe laboratory attempts to create what we call “good customers” while converting itself into a “good seller” by developing a particulat set of costing practicting that were closely related to the implementation of a management accounting system. Finally, we consider how Daresbury response to “market forces” influenced scintific and organzational practice, and arsponse that the social technologies of governmentality performed by accountancy — but also by scientific and bureaucratic practice are complex, discursively heterogeneou, and used in context-sensitive ways. This means, or so we suggest, that it is difficult to mount general argunents about “science” and “the market,” and that the use of such large-scale institions impedes impedes analysis.

scholarly journals A gravitational puzzle

2011 ◽  
Vol 369 (1957) ◽  
pp. 4998-5002
Author(s):  
Robert R. Caldwell
Keyword(s):  
Gravitational Lensing ◽  
Large Scale ◽  
Current Data ◽  
Cosmic Acceleration ◽  
Late Time ◽  
Microwave Background ◽  
Scale Free ◽  
Cosmological Observations ◽  
Stress Energy ◽  
The Relationship

The challenge to understand the physical origin of the cosmic acceleration is framed as a problem of gravitation. Specifically, does the relationship between stress–energy and space–time curvature differ on large scales from the predictions of general relativity. In this article, we describe efforts to model and test a generalized relationship between the matter and the metric using cosmological observations. Late-time tracers of large-scale structure, including the cosmic microwave background, weak gravitational lensing, and clustering are shown to provide good tests of the proposed solution. Current data are very close to proving a critical test, leaving only a small window in parameter space in the case that the generalized relationship is scale free above galactic scales.

The Grammar of Prominence

2021 ◽  
pp. 171-186
Author(s):  
Una Stojnić
Keyword(s):  
Context Sensitivity ◽  
Gradable Adjectives ◽  
Domain Restriction ◽  
Context Sensitive ◽  
Future Developments ◽  
Model Context ◽  
The Way

This chapter draws theoretical conclusions and outlines directions for future developments. It summarizes the key theoretical and philosophical upshots of the account developed in the book and discusses further extensions of this framework. It discusses how the account can be applied to model context-sensitivity of situated utterances, in a way that can offer insights into puzzles concerning disagreement in discourse and communication under ignorance, which have plagued standard accounts of context and content. Further, it outlines the way the account is to be extended and applied to various types of context-sensitive items, including relational expressions, gradable adjectives, and domain restriction.

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