Rule-based approach for identifying assertions in clinical free-text data

A rule-based approach for classifying previously identified medical concepts in the clinical free text into an assertion category is presented. There are six different categories of assertions for the task: Present, Absent, Possible, Conditional, Hypothetical and Not associated with the patient. The assertion classification algorithms were largely based on extending the popular NegEx and Context algorithms. In addition, a health based clinical terminology called SNOMED CT and other publicly available dictionaries were used to classify assertions, which did not fit the NegEx/Context model. The data for this task includes discharge summaries from Partners HealthCare and from Beth Israel Deaconess Medical Centre, as well as discharge summaries and progress notes from University of Pittsburgh Medical Centre. The set consists of 349 discharge reports, each with pairs of ground truth concept and assertion files for system development, and 477 reports for evaluation. The system’s performance on the evaluation data set was 0.83, 0.83 and 0.83 for recall, precision and F1-measure, respectively. Although the rule-based system shows promise, further improvements can be made by incorporating machine learning approaches.

Text mining and probabilistic language modeling for online review spam detecting

In the era of Web 2.0, huge volumes of consumer reviews are posted to the Internet every day. Manual approaches to detecting and analyzing fake reviews (i.e., spam) are not practical due to the problem of information overload. However, the design and development of automated methods of detecting fake reviews is a challenging research problem. The main reason is that fake reviews are specifically composed to mislead readers, so they may appear the same as legitimate reviews (i.e., ham). As a result, discriminatory features that would enable individual reviews to be classified as spam or ham may not be available. Guided by the design science research methodology, the main contribution of this study is the design and instantiation of novel computational models for detecting fake reviews. In particular, a novel text mining model is developed and integrated into a semantic language model for the detection of untruthful reviews. The models are then evaluated based on a real-world dataset collected from amazon.com. The results of our experiments confirm that the proposed models outperform other well-known baseline models in detecting fake reviews. To the best of our knowledge, the work discussed in this article represents the first successful attempt to apply text mining methods and semantic language models to the detection of fake consumer reviews. A managerial implication of our research is that firms can apply our design artifacts to monitor online consumer reviews to develop effective marketing or product design strategies based on genuine consumer feedback posted to the Internet.

Mining a data reasoning model for personalized text classification

It is a big challenge to acquire correct user profiles for personalized text classification since users may be unsure in providing their interests. Traditional approaches to user profiling adopt machine learning (ML) to automatically discover classification knowledge from explicit user feedback in describing personal interests. However, the accuracy of ML-based methods cannot be significantly improved in many cases due to the term independence assumption and uncertainties associated with them. This paper presents a novel relevance feedback approach for personalized text classification. It basically applies data mining to discover knowledge from relevant and non-relevant text and constraints specific knowledge by reasoning rules to eliminate some conflicting information. We also developed a Dempster-Shafer (DS) approach as the means to utilise the specific knowledge to build high-quality data models for classification. The experimental results conducted on Reuters Corpus Volume 1 and TREC topics support that the proposed technique achieves encouraging performance in comparing with the state-of-the-art relevance feedback models.

Error correction in second language writing : teachers’ beliefs, practices, and students’ preferences

Error correction is perhaps the most widely used method for responding to student writing. While various studies have investigated the effectiveness of providing error correction, there has been relatively little research incorporating teachers' beliefs, practices, and students' preferences in written error correction. The current study adopted features of an ethnographic research design in order to explore the beliefs and practices of ESL teachers, and investigate the preferences of L2 students regarding written error correction in the context of a language institute situated in the Brisbane metropolitan district. In this study, two ESL teachers and two groups of adult intermediate L2 students were interviewed and observed. The beliefs and practices of the teachers were elicited through interviews and classroom observations. The preferences of L2 students were elicited through focus group interviews. Responses of the participants were encoded and analysed. Results of the teacher interviews showed that teachers believe that providing written error correction has advantages and disadvantages. Teachers believe that providing written error correction helps students improve their proof-reading skills in order to revise their writing more efficiently. However, results also indicate that providing written error correction is very time consuming. Furthermore, teachers prefer to provide explicit written feedback strategies during the early stages of the language course, and move to a more implicit strategy of providing written error correction in order to facilitate language learning. On the other hand, results of the focus group interviews suggest that students regard their teachers' practice of written error correction as important in helping them locate their errors and revise their writing. However, students also feel that the process of providing written error correction is time consuming. Nevertheless, students want and expect their teachers to provide written feedback because they believe that the benefits they gain from receiving feedback on their writing outweigh the apparent disadvantages of their teachers' written error correction strategies.

‘Show Me Your Wiki and I’ll Show you Mine’: Using Online Interactive Media to Improve Academic Writing and Research in a Public Health Under-Graduate Cohort

The number of Internet users in Australia has been steadily increasing, with over 10.9 million people currently subscribed to an internet provider (ABS, 2011). Over the past year, the most avid users of the Internet were 15 – 24 year olds, with approximately 95% accessing the internet on a regular basis (ABS, Social Trends, 2011). While the internet has been described as fundamental to higher education students, social and leisure internet tools are also increasingly being used by these students to generate and maintain their social and professional networks and interactions (Duffy & Bruns 2006). Rapid technological advancements have enabled greater and faster access to information for learning and education (Hemmi et al, 2009; Glassman and Kang, 2011). As such, we sought to integrate interactive, online social media into the assessment profile of a Public Health undergraduate cohort at the Queensland University of Technology (QUT). The aim of this exercise was to engage students to both develop and showcase their research on a range of complex, contemporary health issues within the online forum of Wikispaces (http://www.wikispaces.com/) for review and critique by their peers. We applied Bandura’s Social Learning Theory (SLT) to analyse the interactive processes from which students developed deeper and more sustained learning, and via which their overall academic writing standards were raised. This paper outlines the assessment task, and the students’ feedback on their learning outcomes in relation to the Attentional, Retentional, Motor Reproduction, and Motivational Processes outlined by Bandura in SLT. We conceptualise the findings in a theoretical model, and discuss the implications for this approach within the broader tertiary environment.

Creative writing, literary studies, and global thinkers

There has been growing interest in how to make tertiary education more global and international not only in context but, also, in approach and methodology. One area of the education sector that has come under specific focus is the higher education sector curriculum and its design. This paper addresses the process of ‘internationalising’ the curriculum through the specific example of designing a new literary unit for undergraduate students, mainly literary studies and creative writing students. The literary unit entitled: Imagining the Americas: Contemporary American Literature and Culture, has the added complexity of being a unit about national fiction. This paper explores the practical problems and obstacles encountered in setting up this unit while using a framework of internationalisation. The case study examines the practicalities in implementing strategies that reflect the overall objective of creating global thinkers within a tertiary environment.

Loving Europe : Charmian Clift, Peel Me a Lotus, and Australian women writing travel

“There it went!—Our last little bit of capital, our going back to civilization money . . .” So Charmian Clift fretted when she watched her husband George Johnson hand over a large number of drachma notes to buy a house on the Greek Island of Hydra in 1956. Whereas today’s expatriates fly back and forth between home and away with ease, Clift’s commitment to Hydra meant that a return to Australia, “to civilization”, would always be difficult and perhaps impossible...

Loss and grief at the heart of text messages [REVIEW]

WHAT if you lost someone you loved? What if you had to let go for the sake of your own sanity? Lachlan Philpott's Colder and Dennis Kelly's Orphans, playing as part of La Boite's and Queensland Theatre Company's independents programs, are emotionally and textually dense theatrical works...

After the testing : talking and reading and writing the world

This critical essay discusses the challenges and prospects for the reform of school-based literacy programs. It begins with an overview of the effects of a decade of test-driven accountability policy on research and teachers’ work, noting the continuing challenges of new demographics, cultures and technologies for literacy education. The case is made that whole school literacy programs can make a difference in improving the overall education of students and youth from low socioeconomic and cultural minority backgrounds. But this requires a strong emphasis on engagement with substantive readings of cultural, social and scientific worlds through talk, reading and writing. The key questions facing teachers, then, are not simply around basic skills instruction and acquisition, but about sustained, intellectually demanding and scaffolded talk around texts, print and multimodal.

Reading in the Australian curriculum English : describing the effects of structure and organisation on multimodal texts

The recently introduced Australian Curriculum: English Version 3.0 (Australian Curriculum, Assessment and Reporting Authority [ACARA], 2012) requires students to ‘read’ multimodal text and describe the effects of structure and organisation. We begin this article by tracing the variable understandings of what reading multimodal text might entail through the Framing Paper (National Curriculum Board, 2008), the Framing Paper Consultation Report (National Curriculum Board, 2009a), the Shaping Paper (National Curriculum Board, 2009b) and Version 3.0 of the Australian Curriculum English (ACARA, 2012). Our findings show that the theoretical and descriptive framework for doing so is implicit. Drawing together multiple but internally coherent theories from the field of semiotics, we suggest one way to work towards three Year 5 learning outcomes from the reading/writing mode. The affordances of assembling a broad but explicit technical metalanguage for an informed reading of the integrated design elements of multimodal texts are noted.

Sourdough & other stories : a story told in parts (a mosaic novel and exegesis)

The mosaic novel - with its independent 'story-tiles' linking together to form a complete narrative - has the potential to act as a reflection on the periodic resurfacing of unconscious memories in the conscious lives of fictional characters. This project is an exploration of the mosaic text as a fictional analogue of involuntary memory. These concepts are investigated as they appear in traditional fairy tales and engaged with in this thesis's creative component, Sourdough and Other Stories (approximately 80,000 words), a mosaic novel comprising sixteen interconnected 'story-tiles'. Traditional fairy tales are non-reflective and conducive to forgetting (i.e. anti-memory); fairy tale characters are frequently portrayed as psychologically two-dimensional, in that there is no examination of the mental and emotional distress caused when children are stolen/ abandoned/ lost and when adults are exiled. Sourdough and Other Stories is a creative examination of, and attempted to remedy, this lack of psychological depth. This creative work is at once something more than a short story collection, and something that is not a traditional novel, but instead a culmination of two modes of writing. It employs the fairy tale form to explore James' 'thorns in the spirit' (1898, p.199) in fiction; the anxiety caused by separation from familial and community groups. The exegesis, A Story Told in Parts - Sourdough and Other Stories is a critical essay (approximately 20,000 words in length), a companion piece to the mosaic novel, which analyses how my research question proceeded from my creative work, and considers the theoretical underpinnings of the creative work and how it enacts the research question: 'Can a writer use the structural possibilities of the mosaic text to create a fictional work that is an analogue of an involuntary memory?' The cumulative effect of the creative and exegetical works should be that of a dialogue between the two components - each text informing the other and providing alternate but complementary lenses with which to view the research question.

Unsupervised multi-label text classification using a world knowledge ontology

The development of text classification techniques has been largely promoted in the past decade due to the increasing availability and widespread use of digital documents. Usually, the performance of text classification relies on the quality of categories and the accuracy of classifiers learned from samples. When training samples are unavailable or categories are unqualified, text classification performance would be degraded. In this paper, we propose an unsupervised multi-label text classification method to classify documents using a large set of categories stored in a world ontology. The approach has been promisingly evaluated by compared with typical text classification methods, using a real-world document collection and based on the ground truth encoded by human experts.

Writing about risky relatives and what might have been : the craft of historiographic metafiction

This practice-based research project consists of a 33,000-word novella, "Folly", and a 50,000-word exegesis that examines the principles of historiographic metafiction (HMF), the recontextualisation of historical figures and scenarios, and other narratological concepts that inform my creative practice. As an emerging sub-genre of historical fiction, HMF is one aspect of a national and international discourse about historical fiction in the fields of literature, history, and politics. Leading theorists discussed below include Linda Hutcheon and Ansgar Nünning, along with the recent critically-acclaimed work of contemporary Australian writers, Richard Flanagan, Kate Grenville, and Louis Nowra. "Folly" traces a number of periods in the lives of fictional versions of the researcher and his eighteenthcentury Irish relative, and experiments with concepts of historiographic metafiction, the recontextualisation of historical figures and scenarios, and the act of narratorial manipulation, specifically focalisation, voice, and point of view. The key findings of this research include: identifying the principles and ideas that support writing work of historiographic metafiction; a determination as to the value of recontextualisation of historical figures and scenarios, and narratorial manipulation, in the writing of historiographic metafiction; an account of the challenges facing an emerging writer of historiographic metafiction, and their resulting solutions (where these could be established); and, finally, some possible directions for future research.

Text mining in negative relevance feedback

It is a big challenge to clearly identify the boundary between positive and negative streams. Several attempts have used negative feedback to solve this challenge; however, there are two issues for using negative relevance feedback to improve the effectiveness of information filtering. The first one is how to select constructive negative samples in order to reduce the space of negative documents. The second issue is how to decide noisy extracted features that should be updated based on the selected negative samples. This paper proposes a pattern mining based approach to select some offenders from the negative documents, where an offender can be used to reduce the side effects of noisy features. It also classifies extracted features (i.e., terms) into three categories: positive specific terms, general terms, and negative specific terms. In this way, multiple revising strategies can be used to update extracted features. An iterative learning algorithm is also proposed to implement this approach on RCV1, and substantial experiments show that the proposed approach achieves encouraging performance.