Michael Allen: Close Readings: Essays on Irish Poetry

The late Michael Allen was a member of the famous Belfast Group, and one of the most authoritative critical voices on poetry from Northern Ireland, intimately part of the North’s poetic movement since the early 1960s. He taught at Queen’s University, where he was a colleague of Seamus Heaney and tutor to poets such as Paul Muldoon and Medbh McGuckian. Seamus Heaney called him ‘the reader over my shoulder’. Close Readings brings together interlinked critical writings which have crucially influenced approaches to Irish poetry during the last forty years. The book ends with an extended essay, hitherto unpublished: ‘Doubles, Twins and the Feminine: Development in the Poetry of Michael Longley’.

Close Readings contains a Foreword by Fran Brearton, which relates Michael Allen’s essays to continuing critical and cultural debates. Edna Longley’s Afterword offers a personal view of Allen’s involvement with poetry in Belfast.

Studying administrative reforms through textual analysis: the case of Italian central government accounting

This paper contributes to the literature on public-sector reforms by proposing textual analysis as a useful research strategy to explore how reform archetypes and related ideas are deployed in the parliamentary debate and regulations advancing reforms. Public Administration (PA) (Wilson 1887; Weber 1922), New Public Management (NPM) (Hood 1991, 1995; Dunleavy and Hood 1994; Ferlie et al. 1996) and Public Governance (GOV) (Osborne 2010; Rhodes 1997) can be depicted as three different archetypes providing characteristic administrative ideas and concepts (i.e. interpretive schemes) and related tools and practices (i.e. structures and systems) which lead reforms. We use textual analysis to look into more than twenty years of Italian central government accounting reforms and investigate how the three administrative archetypes have evolved, intertwined and replaced each other. Textual analysis proves a useful tool to investigate reform processes and allows highlighting that in neo-Weberian countries, such as Italy, NPM and GOV, far from being revolutionary paradigms, may represent fashionable trends that did not leave significant traces in the practice and rhetoric of reforms. These results also suggest interesting implications for practitioners and policy makers.

Query Suggestions for Textual Problem Solution Repositories

Textual problem-solution repositories are available today in
various forms, most commonly as problem-solution pairs from community
question answering systems. Modern search engines that operate on
the web can suggest possible completions in real-time for users as they
type in queries. We study the problem of generating intelligent query
suggestions for users of customized search systems that enable querying
over problem-solution repositories. Due to the small scale and specialized
nature of such systems, we often do not have the luxury of depending on
query logs for finding query suggestions. We propose a retrieval model
for generating query suggestions for search on a set of problem solution
pairs. We harness the problem solution partition inherent in such
repositories to improve upon traditional query suggestion mechanisms
designed for systems that search over general textual corpora. We evaluate
our technique over real problem-solution datasets and illustrate that
our technique provides large and statistically significant

Knowledge Management Techniques to Augment Textual CBR (PhD Thesis)

The past decade had witnessed an unprecedented growth in the amount of available digital content, and its volume is expected to continue to grow the next few years. Unstructured text data generated from web and enterprise sources form a large fraction of such content. Many of these contain large volumes of reusable data such as solutions to frequently occurring problems, and general know-how that may be reused in appropriate contexts. In this work, we address issues around leveraging unstructured text data from sources as diverse as the web and the enterprise within the Case-based Reasoning framework. Case-based Reasoning (CBR) provides a framework and methodology for systematic reuse of historical knowledge that is available in the form of problemsolution
pairs, in solving new problems. Here, we consider possibilities of enhancing Textual CBR systems under three main themes: procurement, maintenance and retrieval. We adapt and build upon the stateof-the-art techniques from data mining and natural language processing in addressing various challenges therein. Under procurement, we investigate the problem of extracting cases (i.e., problem-solution pairs) from data sources such as incident/experience
reports. We develop case-base maintenance methods specifically tuned to text targeted towards retaining solutions such that the utility of the filtered case base in solving new problems is maximized. Further, we address the problem of query suggestions for textual case-bases and show that exploiting the problem-solution partition can enhance retrieval effectiveness by prioritizing more useful query suggestions. Additionally, we illustrate interpretable clustering as a tool to drill-down to domain specific text collections (since CBR systems are usually very domain specific) and develop techniques for improved similarity assessment in social media sources such as microblogs. Through extensive empirical evaluations, we illustrate the improvements that we are able to
achieve over the state-of-the-art methods for the respective tasks.

Understanding breast health awareness in an Arabic culture: qualitative study protocol

AIM: To explore breast health awareness and the early diagnosis and detection methods of breast cancer from the perspective of women and primary healthcare providers in the Jizan region of the Kingdom of Saudi Arabia.

BACKGROUND: Although there is a high incidence of advanced breast cancer in young women in the Kingdom of Saudi Arabia, there is no standardized information about breast self-examination, or is there a national screening programme involving clinical breast examination and mammography available.

DESIGN: Qualitative exploratory study.

METHODS: Data collection will consist of 36 face-to-face semi-structured interviews: 12 with general practitioners; 12 with nurses at primary healthcare centres and with 12 women who attend the health centres. This study will be carried out in eight states across the Jizan region (four rural and four urban) to reflect the cultural diversity of Jizan. The data will be analysed using thematic content analysis. Research Ethics Committee approval was obtained in June 2015.

DISCUSSION: While we understand the enablers and barriers to breast health awareness outside of Saudi culture, in the Kingdom of Saudi Arabia, particularly in rural populations such as Jizan, there is a lack of research. This study will add positively to the international knowledge base of this topic. The findings will give evidence and inform policy about women and healthcare providers' experiences in Jizan, in a society where such topics are taboo.