New distributional modelling approaches for gap analysis

The Gender Gap: Old Challenges, New Approaches

Latent Variable Modelling: Old and New Approaches

To find he precursor of contemporary latent variable modelling one must go back to the beginning of the 20th century and Charles Spearman’s invention of factor analysis. This was followed, half a century later, by latent class and latent trait analysis and, from the 1960’s onwards, by covariance structure analysis. The most recent additions to the family have been in the area of time series. We...

New approaches to contrast agent modelling

Current options for modelling contrast agent nonlinearities do not predict acoustic propagation. Other popular formulae are restricted to the linear steady state (e.g. for crosssections, sound speed and attenuation). Hence all options for modelling contrast agents have limited applicability to most of the insonification conditions to which they are exposed in vivo. This paper provides a theoret...

Discovering Verb Relations in Corpora: Distributional Versus Non-distributional Approaches

Verbs represent a way in which ontological relationships between concepts and instances are expressed in natural language utterances. Moreover, an organized network of semantically related verbs can play a crucial role in applications. For example, if a Question-Answering system could exploit the direction of the entailment relation win → play, it may expand the question “Who played against Liv...

New approaches for modelling sporadic genetic disease in the mouse.

Sporadic diseases, which occur as single, scattered cases, are among the commonest causes of human morbidity and death. They result in a variety of diseases, including many cancers, premature aging, neurodegeneration and skeletal defects. They are often pathogenetically complex, involving a mosaic distribution of affected cells, and are difficult to model in the mouse. Faithful models of sporad...