Evaluating prose style transfer with the Bible

In the prose style transfer task a system, provided with text input and a target prose style, produces output which preserves the meaning of the input text but alters the style. These systems require parallel data for evaluation of results and usually make use of parallel data for training. Currently, there are few publicly available corpora for this task. In this work, we identify a high-quality source of aligned, stylistically distinct text in different versions of the Bible. We provide a standardized split, into training, development and testing data, of the public domain versions in our corpus. This corpus is highly parallel since many Bible versions are included. Sentences are aligned due to the presence of chapter and verse numbers within all versions of the text. In addition to the corpus, we present the results, as measured by the BLEU and PINC metrics, of several models trained on our data which can serve as baselines for future research. While we present these data as a style transfer corpus, we believe that it is of unmatched quality and may be useful for other natural language tasks as well

Limericks and Computational Poetics: The Minimal Pairs Framework. Computational Challenges for Poetic Analysis and Synthesis

Computational poetics encompasses the wide range of challenges implicit in analyzing and generating poetry – in all of its many forms – through computational techniques and frameworks. In this paper, we build on a nascent body of work that has proposed the use of the limerick as a ‘model organism’ for computational poetics, and in particular the use of Benchmarked Poetic Minimal Pairs (BPoMP) as an investigative framework, especially for the evaluation of the poetic abilities of deep learning language models. To that end, we include results for two new BPoMP tasks of interest for limerick analysis – the word deletion task and the limerick completion tasks. We include a release of a data set for the deletion task. We also offer up a suite of an additional ten BPoMP challenges whose precise formulations still require detail

Stan: A Probabilistic Programming Language

Stan is a probabilistic programming language for specifying statistical models. A Stan program imperatively defines a log probability function over parameters conditioned on specified data and constants. As of version 2.14.0, Stan provides full Bayesian inference for continuous-variable models through Markov chain Monte Carlo methods such as the No-U-Turn sampler, an adaptive form of Hamiltonian Monte Carlo sampling. Penalized maximum likelihood estimates are calculated using optimization methods such as the limited memory Broyden-Fletcher-Goldfarb-Shanno algorithm. Stan is also a platform for computing log densities and their gradients and Hessians, which can be used in alternative algorithms such as variational Bayes, expectation propagation, and marginal inference using approximate integration. To this end, Stan is set up so that the densities, gradients, and Hessians, along with intermediate quantities of the algorithm such as acceptance probabilities, are easily accessible. Stan can be called from the command line using the cmdstan package, through R using the rstan package, and through Python using the pystan package. All three interfaces support sampling and optimization-based inference with diagnostics and posterior analysis. rstan and pystan also provide access to log probabilities, gradients, Hessians, parameter transforms, and specialized plotting

‘Off With Their Heads’: British Prime Ministers and the Power to Dismiss

The British prime minister’s power to appoint and dismiss ministers is probably his most important single power. This article explores how prime ministers from Macmillan to Blair have used that power. The article considers the criteria that prime ministers use when choosing to appoint or dismiss individuals from office before examining the calculations and miscalculations that prime ministers have made in practice. Finally, the article analyses the way that prime ministers have exercised, in particular, their power to dismiss and finds that Thatcher was far more likely than others to sack cabinet colleagues on ideological or policy grounds. The article emphasizes that prime ministers’ relationships with especially powerful ministers – ‘big beasts of the jungle’ – are crucial to an understanding of British government at the top.</jats:p

Training highly qualified health research personnel: The Pain in Child Health consortium

Background and Objectives: Pain in Child Health (PICH) is a transdisciplinary, international research training consortium. PICH has been funded since 2002 as a Strategic Training Initiative in Health Research of the Canadian Institutes of Health Research, with contributions from other funding partners and the founding participation of five Canadian universities. The goal of PICH has been to create a community of scholars in pediatric pain to improve child health outcomes. Methods: Quantitative analyses enumerated PICH faculty, trainees, training activities and scientific outputs. Interviews with PICH stakeholders were analyzed using qualitative methods capturing perceptions of the program’s strengths, limitations, and opportunities for development and sustainability. Results : PICH has supported 218 trainee members from 2002 through 2013, from 14 countries and more than 16 disciplines. The faculty at the end of 2013 comprised nine co-principal investigators, 14 Canadian coinvestigators, and 28 Canadian and international collaborators. Trainee members published 697 peer-reviewed journal articles on pediatric pain through 2013, among other research dissemination activities including conference presentations and webinars. Networks have been established between new and established researchers across Canada and in 13 other countries. Perceptions from stakeholders commended PICH for its positive impact on the development of pediatric pain researchers. Stakeholders emphasized skills and abilities gained through PICH, the perceived impact of PICH training on this research field, and considerations for future training in developing researchers in pediatric pain. Conclusions: PICH has been successfully developing highly qualified health research personnel within a Canadian and international community of pediatric pain scholarship

A systematic review of controlled trials on visual stress using Intuitive Overlays or the Intuitive Colorimeter

Claims that coloured filters aid reading date back 200 years and remain controversial. Some claims, for example, that more than 10% of the general population and 50% of people with dyslexia would benefit from coloured filters lack sound evidence and face validity. Publications with such claims typically cite research using methods that have not been described in the scientific literature and lack a sound aetiological framework. Notwithstanding these criticisms, some researchers have used more rigorous selection criteria and methods of prescribing coloured filters that were developed at a UK Medical Research Council unit and which have been fully described in the scientific literature. We review this research and disconfirm many of the more extreme claims surrounding this topic. This literature indicates that a minority subset of dyslexics (circa 20%) may have a condition described as visual stress which most likely results from a hyperexcitability of the visual cortex. Visual stress is characterised by symptoms of visual perceptual distortions, headaches, and eyestrain when viewing repetitive patterns, including lines of text. This review indicates that visual stress is distinct from, although sometimes co-occurs with, dyslexia. Individually prescribed coloured filters have been shown to improve reading performance in people with visual stress, but are unlikely to influence the phonological and memory deficits associated with dyslexia and therefore are not a treatment for dyslexia. This review concludes that larger and rigorous randomised controlled trials of interventions for visual stress are required. Improvements in the diagnosis of the condition are also a priority