Finding related sentence pairs in MEDLINE

We explore the feasibility of automatically identifying sentences in different MEDLINE abstracts that are related in meaning. We compared traditional vector space models with machine learning methods for detecting relatedness, and found that machine learning was superior. The Huber method, a variant of Support Vector Machines which minimizes the modified Huber loss function, achieves 73% precision when the score cutoff is set high enough to identify about one related sentence per abstract on average. We illustrate how an abstract viewed in PubMed might be modified to present the related sentences found in other abstracts by this automatic procedure.     

Book Distribution in the Arab World

Business opportunities in international markets are largely determined by accessibility, transparency, and legal frameworks fair to all parties concerned. Arab book markets in principle offer a tremendous potential with more than 300 million readers sharing one common language. Besides unsolved censorship issues, problems with money collection, and differing regulations, however, the lack of a uniform book distribution system is the most critical hurdle for the development of a common Arabic book market. Most importantly, there is no comprehensive database containing accurate content briefs, background information on authors, ISBN numbers, and publisher company information as well as all relevant commercial data such as book prices, weight, logistics terms, and availability. Authors and publishers are hard hit as they often need to organize book transportation, delivery, and invoice collection on their own. At present, “selling book fairs” in the Arab world—with the exception of Abu Dhabi International Book Fair—present themselves as crowded book bazaars rather than executive meeting points. The authors of the article, however, are anticipating change: New distribution initiatives will soon interlink regional Arabic markets and create unique growth and profit opportunities.     

A Look at Global Expansion for e-Books

Forecasts indicate a growing demand for digital content around the world. Converting to digital content can open up countless new revenue possibilities. Adding alternate channels may be worth consideration, but what are the options and what does it take to utilize them effectively? This article explores the opportunities that potentially exist for publishers with content that may be digitized and distributed to global markets. A brief review of the current marketplace is also incorporated, including current players and trends. Finally, an analysis of some of the potential issues, challenges and pitfalls is presented in context of delving into a new international digital content distribution strategy.     

Learning to rank with (a lot of) word features

In this article we present Supervised Semantic Indexing which defines a class of nonlinear (quadratic) models that are discriminatively trained to directly map from the word content in a query-document or document-document pair to a ranking score. Like Latent Semantic Indexing (LSI), our models take account of correlations between words (synonymy, polysemy). However, unlike LSI our models are trained from a supervised signal directly on the ranking task of interest, which we argue is the reason for our superior results. As the query and target texts are modeled separately, our approach is easily generalized to different retrieval tasks, such as cross-language retrieval or online advertising placement. Dealing with models on all pairs of words features is computationally challenging. We propose several improvements to our basic model for addressing this issue, including low rank (but diagonal preserving) representations, correlated feature hashing and sparsification. We provide an empirical study of all these methods on retrieval tasks based on Wikipedia documents as well as an Internet advertisement task. We obtain state-of-the-art performance while providing realistically scalable methods.     

Academic Development as Academic Work

In this paper the authors reflect on their experiences of being academic developers and suggest how our profession might advance in the future. Our inquiry focuses on academic development and how we can support our clients more effectively. We propose that the profession of academic development should aim for academic status with many more research‐active staff contributing to its knowledge base. If this profession were located within the already recognized research field of higher education, we believe a number of potential benefits could accrue. These include a new level of professional standing, greater efficiency in our universities and a more substantial academic development community. Our thoughts and arguments on the nature of our work are framed within a discussion of professional identity, knowledge and academic freedom.     

Behaviour,race and inclusion

Abstract

This article argues that because of the practice in the 1960s of placing black children in so-called ‘educational subnormal’ units there is now a reluctance to look at the speci?c needs of African Caribbean children. The post-Warnock politics of integration/inclusion following this period point to the ‘institutional racism’ of schools and white teachers to explain poor exam results. This article argues that in the current political climate which prioritizes ‘inclusion’ we should not patronize the black child. There is a need to position the factors of oppression equally with other factors of underachievement; to re-employ psychological, behavioural and educational tools as well as to deconstruct school processes and teacher attitudes; and to consider psychosocial factors related to underachievement without forgetting the reality of institutional racism. The article illustrates a research project that looks at the pastoral needs of African Caribbean children. It points to these needs as the key variable in unlocking their underachievement at school.     

BROADCAST TELEVISION AS A CAUSE OF AGGRESSION? RECENT FINDINGS FROM A NATURALISTIC STUDY

This sub‐study is part of a longitudinal naturalistic investigation monitoring the social behaviour of young children (3‐8‐year‐olds) before and after the arrival of broadcast television in St Helena, South Atlantic.

Children's free‐play behaviour in first school playgrounds was videotaped in 1994 (pre‐tv), and in 1995 and 1996 (post‐tv), and then coded and analysed by trained observers. Findings showed no significant differences in children's behaviour either across the availability of broadcast television (i.e. CNN) or with the addition of further channels (CNN plus others).     

Why Our Theoretical Models of Integration are Inhibiting Effective Innovation

In education, as in all other fields, grassroots practitioners need people with sharp, creative minds who are able to question accepted ideologies and challenge current practice. Such innovators stimulate argument and collaboration which, in turn, lead to the development of new philosophies and to more enlightened and effective practices.

In this paper it Is argued that in special education, however, the philosophical models of integration which have been presented over the last eight years have often inadvertently inhibited, rather than promoted, the Introduction of more effective learning systems.