Current approaches to generating multi-sentence text fail to consider what the user may infer from the different statements in a description. This paper presents a system which contains an explicit model of the inferences that people may make from different statement types, and uses this model, together with assumptions about the user's prior knowledge, to pick the most appropriate sequence of ...

The notion of the labour-aristocracy is one of the oldest Marxian explanations of working-class conservatism and reformism. Despite its continued appeal to scholars and activists on the Left, there is no single, coherent theory of the labour-aristocracy. While all versions argue workingclass conservatism and reformism reflects the politics of a privileged layer of workers who share in ‘monopoly...

This study explored a computerized adaptive test delivery algorithm for latent class identification based on the mixture Rasch model. Four item selection methods based on the Kullback– Leibler (KL) information were proposed and compared with the reversed and the adaptive KL information under simulated testing conditions. When item separation was large, all item selection methods did not differ ...

In this paper we present three classifiers used in automatic forms class identification. A first category of classifier includes the k-Nearest Neighbours (kNN) and the Multi-Layer Perceptron (MLP) classifiers. A second category corresponds to a new structural classifier based on tree comparison. On one hand, a low level information based on a pyramidal decomposition of the document image is use...

Absfrac-The following problem arises in many applications involving classification, identification, and inference. There is a set of objects X, and a particular x E X is chosen (unknown to us). Based on information obtained about x in a sequential manner, we wish to decide whether x belongs to one class of objects A , or a different class of objects A, . We study a general paradigm applicable t...

Spatially varying haze is a common feature of archival Landsat scenes currently being used for large-area land cover mapping and can significantly affect product quality. Robust haze reduction that is image-based and involves minimal operator intervention, is therefore a necessary a-priori step to information extraction. The practical implementation of a suitable methodology, based on a Haze Op...