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The understanding of story variation, whether motivated by cultural currents or other factors, is important for applications of formal models of narrative such as story generation or story retrieval. We present the first stage of an experiment to elicit natural narrative variation data suitable for evaluation with respect to story similarity, to qualitative and quantitative analysis of story variation, and also for data processing. We also present few preliminary results from the first stage of the experiment, using Red Riding Hood and Romeo and Juliet as base texts.
A tale of many stories: explaining policy diffusion between European higher education systems
(2013)
The thesis ”A Tale of Many Stories - Explaining Policy Diffusion between European Higher Education Systems" systematically examines diffusion processes and their effects with regard to a rather neglected policy area – the case of European higher education policy. The thesis contributes to the slowly growing number of comparative and mechanism-based studies on policy diffusion and represents the first study on the diffusion of policies between European Higher Education Systems. The main aim is to contrast and compare testable and coherent explanatory models on the functioning of different diffusion mechanisms. Three sets of explanatory models on the relationship between variables triggering and conditioning diffusion mechanisms and their impact on policy adoption are drawn from mechanism-based thinking on policy diffusion: on learning, socialization, and externalities. These approaches conceptualize the policy process in terms of interdependencies between international and national actors. Explanatory models based on assumptions about domestic policies and the common responses of countries to similar policy problems extend this theoretical framework. The thesis is based on event history modelling of policy change and adoption in higher education systems of 16 West European countries between the yeas 1980 and 1998. Overall 14 policy items describing performance-orientated reforms for public universities ranging from the adoption of external quality assurance systems to tuition fees are examined. Empirically, the main research question is what international, national and policy-specific factors cause and condition diffusion processes and the adoption of public policies? Evidence can be found for and against all of the four theoretical approaches tested. In comparison, many of the assumptions related to interdependencies lack robustness, whereas the common response model is the most stable one. This does not mean that explanatory models based on interdependent decision-making are not suitable for analysing policy diffusion in higher education. Rather interdependency is a multi- dimensional concept that requires a comparative assessment of diffusion mechanisms. Some of explanatory factors based on interdependent decision- making are still supported by the empirical analysis though. From this point of view, the recommendation for analysing diffusion is to start with a model based on domestic politics, that is successively extended by explanatory factors dealing with interdependencies between international and national actors. Diffusion variables matter – but it is only one side of the tale on policy diffusion.
In this paper, we report on an effort to develop a gold standard for the intensity ordering of subjective adjectives. Rather than pursue a complete order as produced by paying attention to the mean scores of human ratings only, we take into account to what extent assessors consistently rate pairs of adjectives relative to each other. We show that different available automatic methods for producing polar intensity scores produce results that correlate well with our gold standard, and discuss some conceptual questions surrounding the notion of polar intensity.
Freezing in it-clefts
(2013)
Igel is a small XQuery-based web application for examining a collection of document grammars; in particular, for comparing related document grammars to get a better overview of their differences and similarities. In its initial form, Igel reads only DTDs and provides only simple lists of constructs in them (elements, attributes, notations, parameter entities). Our continuing work is aimed at making Igel provide more sophisticated and useful information about document grammars and building the application into a useful tool for the analysis (and the maintenance!) of families of related document grammars
Introduction
(2013)