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A statistical model for scientific readability
Proceedings of the tenth international conference on Information and knowledge management, 2001In this paper, we present a new method of using statistical models to estimate readability [1]. Language Model is used to capture the content information. It is combined with linguistic feature model by a linear form. Experiments show that this new method has a better performance than the widely used Flesch-Kincaid readability formula.
Luo Si, James P. Callan
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Scientific Representation and the Uses of Scientific Models
2015Much of the philosophical debate about scientific models has focused on their representational function. Beginning with a discussion of the problem of scientific representation in general (as explored by Nelson Goodman, Bas van Fraassen, and others) this chapter discusses two specific proposals of how model-based representation comes about: first, R.I ...
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Idealization and abstraction in scientific modeling
Synthese, 2018I argue that we cannot adequately characterize idealization and abstraction and the distinction between the two on the grounds that they have distinct semantic properties. By doing so, on the one hand, we focus on the conceptual products of the two processes in making the distinction and we overlook the importance of the nature of the thought processes
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Computational models of scientific discovery
The Knowledge Engineering Review, 1991Abstract Computational modelling of scientific discovery is emerging as an important research field in artificial intelligence. Various computational systems modelling different aspects of scientific research and discovery have been developed.
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Discussion: ‘The Scientific Model of Causality’
Sociological Methodology, 2005Heckman advocates an approach to causal inference that draws upon structural modeling of the outcome(s) of interest (which he calls scientific), and he contrasts this approach sharply with that arising out of the statistical literature on experimentation. Drawing extensively on several previous papers—for example, Heckman (1997, 2000, 2001) and Heckman
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A Scientific Hypothesis Conceptual Model
2012In-silico scientific research is a complex task that involves the management of huge volumes of data and metadata produced during the scientific exploration life cycle, from hypothesis formulation up to its final validation. This wealth of data needs to be structured and managed in a way that readily makes sense to scientists, so that relevant ...
Fábio Porto 0001 +4 more
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Checking Scientific Assumptions by Modeling
2006We describe extensions to the science querying system Scilog to enable it to make efficient simulators. Given a scientific model's details and assumptions Scilog can create a C++ simulator to check assumption consistency. We used extended Scilog to test claims that Intelligent Design makes about Evolution and found them to be at odds with basic Biology.
Joseph Phillips +2 more
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Sociological Models of Scientific Knowledge
International Sociology, 1997In contemporary advanced societies, the study of science and technology has acquired huge importance; this has been possible also thanks to the sociology of science. It is a hybrid specialty, because it derives from the sociology of knowledge and the social history of science, and yet is more and more conditioned by economics and politics.
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Business models for scientific information, and the scientific process? [PDF]
, 2005 Any business model for scientific information should create: - value in the scientific process, - commercial value. In this breakout session we will discuss business models from these two values, the emphasis being on the value in the scientific process. This leads to the following questions for discussion: 1.
Roosendaal, Hans E., Kurek, Kasia
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