Our first preface in 1993 emphasized that this book was A, not, The Sociology of
Mental Health and Illness. Today, more than ever, it is quite a risk to write ‘The
Sociology’ of anything. Moreover, as the wide-ranging references listed at the
end of the book indicate, we continue to draw our material from sociology but
also many other sources, including psychology and psychiatry. Sociological
analyses of our topic are not offered only by sociologists.
"Energy for a Warming World" challenges the commonplace notion that the amount of power which mankind can potentially harness from renewable resources is more than large enough to assuage future demand levels. By examining the renewable issue from an electrical engineering perspective, and exercising due regard for the limited capability of current and future electrical generation and transmission systems, this book attempts to provide more realistic statistics for the levels of power which could be extracted from sustainable resources in the critical time frame of 30 to 40 years....
We present a statistical model for canonicalizing named entity mentions into a table whose rows represent entities and whose columns are attributes (or parts of attributes). The model is novel in that it incorporates entity context, surface features, ﬁrstorder dependencies among attribute-parts, and a notion of noise.
This paper analyses the relation between the use of similarity in Memory-Based Learning and the notion of backed-off smoothing in statistical language modeling. We show that the two approaches are closely related, and we argue that feature weighting methods in the Memory-Based paradigm can offer the advantage of automatically specifying a suitable domainspecific hierarchy between most specific and most general conditioning information without the need for a large number of parameters. We report two applications of this approach: PP-attachment and POStagging. ...