Skip to main content

Research Repository

Advanced Search

Outputs (35)

The REAL Corpus: a crowd-sourced corpus of human generated and evaluated spatial references to real-world urban scenes (2016)
Presentation / Conference Contribution
Bartie, P., Mackaness, W., Gkatzia, D., & Rieser, V. (2016). The REAL Corpus: a crowd-sourced corpus of human generated and evaluated spatial references to real-world urban scenes. In 10th International Conference on Language Resources and Evaluation (LR

We present a newly crowd-sourced data set of natural language references to objects anchored in complex urban scenes (In short: The REAL Corpus – Referring Expressions Anchored Language). The REAL corpus contains a collection of images of real-world... Read More about The REAL Corpus: a crowd-sourced corpus of human generated and evaluated spatial references to real-world urban scenes.

An approach to using a laser pointer as a mouse (2015)
Presentation / Conference Contribution
Aizeboje, J., & Peng, T. (2015, April). An approach to using a laser pointer as a mouse. Presented at 17th International Conference on Enterprise Information Systems

Modern technologies have evolved to present different ways users can interact with computers. Nowadays, computers and projectors are commonly used in teaching and presentations, in which the mouse and the USB wireless presenter are two of the main pr... Read More about An approach to using a laser pointer as a mouse.

Instruments to measure patient experience of health care quality in hospitals: a systematic review protocol (2014)
Journal Article
Beattie, M., Lauder, W., Atherton, I., & Murphy, D. J. (2014). Instruments to measure patient experience of health care quality in hospitals: a systematic review protocol. Systematic Reviews, 3, Article 4. https://doi.org/10.1186/2046-4053-3-4

Improving and sustaining the quality of care in hospitals is an intractable and persistent challenge. The patients’ experience of the quality of hospital care can provide insightful feedback to enable clinical teams to direct quality improvement effo... Read More about Instruments to measure patient experience of health care quality in hospitals: a systematic review protocol.

Dimensional analysis based causal ordering (1999)
Presentation / Conference Contribution
Shen, Q., Peng, T., & Milne, R. (1999). Dimensional analysis based causal ordering. In Proceedings of the 13th International Workshop on Qualitative Reasoning (193-202)

This paper presents a novel approach for generating causal dependencies between system variables, from an acausal description of the system behaviour, and for identifying the end causal impact; in terms of whether a change in the value of an influenc... Read More about Dimensional analysis based causal ordering.

From the Virtual to the RealWorld: Referring to Objects in Real-World Spatial Scenes (2015)
Presentation / Conference Contribution
Gkatzia, D., Rieser, V., Bartie, P., & Mackaness, W. (2015). From the Virtual to the RealWorld: Referring to Objects in Real-World Spatial Scenes. In Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing (1936-1942). http

Predicting the success of referring expressions (RE) is vital for real world applications such as navigation systems. Traditionally, research has focused on studying Referring Expression Generation (REG) in virtual, controlled environments. In this p... Read More about From the Virtual to the RealWorld: Referring to Objects in Real-World Spatial Scenes.

A Game-Based Setup for Data Collection and Task-Based Evaluation of Uncertain Information Presentation (2015)
Presentation / Conference Contribution
Gkatzia, D., Cercas Curry, A., Rieser, V., & Lemon, O. (2015). A Game-Based Setup for Data Collection and Task-Based Evaluation of Uncertain Information Presentation. In Proceedings of the 15th European Workshop on Natural Language Generation (112-113).

Decision-making is often dependent on uncertain data, e.g. data associated with confidence scores, such as probabilities. A concrete example of such data is weather data. We will demo a game-based setup for exploring the effectiveness of different ap... Read More about A Game-Based Setup for Data Collection and Task-Based Evaluation of Uncertain Information Presentation.

A Snapshot of NLG Evaluation Practices 2005 - 2014 (2015)
Presentation / Conference Contribution
Gkatzia, D., & Mahamood, S. (2015). A Snapshot of NLG Evaluation Practices 2005 - 2014. . https://doi.org/10.18653/v1/w15-4708

In this paper we present a snapshot of endto-end NLG system evaluations as presented in conference and journal papers1 over the last ten years in order to better understand the nature and type of evaluations that have been undertaken. We find that re... Read More about A Snapshot of NLG Evaluation Practices 2005 - 2014.

Generating and Evaluating Landmark-Based Navigation Instructions in Virtual Environments (2015)
Presentation / Conference Contribution
Cercas Curry, A., Gkatzia, D., & Rieser, V. (2015). Generating and Evaluating Landmark-Based Navigation Instructions in Virtual Environments. In Proceedings of the 15th European Workshop on Natural Language Generation (90-94). https://doi.org/10.18653/v1

Referring to landmarks has been identified to lead to improved navigation instructions. However, a previous corpus study suggests that human “wizards” also choose to refer to street names and generate user-centric instructions. In this paper, we cond... Read More about Generating and Evaluating Landmark-Based Navigation Instructions in Virtual Environments.

Linkage of national health and social care data: a cross-sectional study of multimorbidity and social care use in people aged over 65 years in Scotland (2020)
Journal Article
Henderson, D. A., Atherton, I., McCowan, C., Mercer, S. W., & Bailey, N. (2021). Linkage of national health and social care data: a cross-sectional study of multimorbidity and social care use in people aged over 65 years in Scotland. Age and ageing, 50(1)

Background: Little is known about the relationship between multimorbidity and social care use (also known as long-term care). The aim of this study was to assess the relationship between receipt of formal social care services and multimorbidity.... Read More about Linkage of national health and social care data: a cross-sectional study of multimorbidity and social care use in people aged over 65 years in Scotland.

Comparing Multi-label Classification with Reinforcement Learning for Summarisation of Time-series Data (2014)
Presentation / Conference Contribution
Gkatzia, D., Hastie, H., & Lemon, O. (2014). Comparing Multi-label Classification with Reinforcement Learning for Summarisation of Time-series Data. In Proceedings of the Conference Volume 1: Long Papers (1231-1240). https://doi.org/10.3115/v1/p14-1116

We present a novel approach for automatic report generation from time-series data, in the context of student feedback generation. Our proposed methodology treats content selection as a multi-label (ML) classification problem, which takes as input ti... Read More about Comparing Multi-label Classification with Reinforcement Learning for Summarisation of Time-series Data.

Telemonitoring at scale for hypertension in primary care: An implementation study (2020)
Journal Article
Hammersley, V., Parker, R., Paterson, M., Hanley, J., Pinnock, H., Padfield, P., Stoddart, A., Park, H. G., Sheikh, A., & McKinstry, B. (2020). Telemonitoring at scale for hypertension in primary care: An implementation study. PLoS Medicine, 17(6), e10031

Background While evidence from randomised controlled trials shows that telemonitoring for hypertension is associated with improved blood pressure (BP) control, healthcare systems have been slow to implement it, partly because of inadequate integrati... Read More about Telemonitoring at scale for hypertension in primary care: An implementation study.

Childhood adversity, mental health and suicide (CHASE): a protocol for a longitudinal case-control linked data study (2020)
Journal Article
Dougall, N., Savinc, J., Maxwell, M., Karatzias, T., O'Connor, R. C., Williams, B., Grandison, G., John, A., Cheyne, H., Fyvie, C., Bisson, J. I., Hibberd, C., Abbott-Smith, S., & Nolan, L. (2020). Childhood adversity, mental health and suicide (CHASE): a

Introduction Suicide is a tragic outcome with devastating consequences. In 2018, Scotland experienced a 15% increase in suicide from 680 to 784 deaths. This was marked among young people, with an increase of 53% in those aged 15-24, the highest sinc... Read More about Childhood adversity, mental health and suicide (CHASE): a protocol for a longitudinal case-control linked data study.

Deaths by suicide and their relationship with general and psychiatric hospital discharge: 30-year record linkage study (2014)
Journal Article
Dougall, N., Lambert, P., Maxwell, M., Dawson, A., Sinnott, R., McCafferty, S., …Springbett, A. (2014). Deaths by suicide and their relationship with general and psychiatric hospital discharge: 30-year record linkage study. British Journal of Psychiatry

Background: Studies have rarely explored suicides completed following discharge from both general and psychiatric hospital settings. Such research might identify additional opportunities for intervention. Aims: To identify and summarise Scottish psyc... Read More about Deaths by suicide and their relationship with general and psychiatric hospital discharge: 30-year record linkage study.

Tracking, Analysis and Measurement of Pedestrian Trajectories (2016)
Thesis
Clayton, S. E. (2016). Tracking, Analysis and Measurement of Pedestrian Trajectories. (Thesis). Edinburgh Napier University. http://researchrepository.napier.ac.uk/Output/452997

Pedestrian movement is unconstrained. For this reason it is not amenable to mathematical modelling in the same way as road traffic. Individual pedestrians are notoriously difficult to monitor at a microscopic level. This has led to a lack of primary... Read More about Tracking, Analysis and Measurement of Pedestrian Trajectories.

Mode of birth after caesarean section: individual prediction scores using Scottish population data (2019)
Journal Article
Denham, S. H., Humphrey, T., deLabrusse, C., & Dougall, N. (2019). Mode of birth after caesarean section: individual prediction scores using Scottish population data. BMC Pregnancy and Childbirth, 19, Article 84. https://doi.org/10.1186/s12884-019-2226-6

Background Rising caesarean section (CS) rates are a global health concern. Contemporary data indicates that almost 50% of CS are electively performed, with a high proportion of these being a repeat procedure. Vaginal birth after caesarean (VBAC) is... Read More about Mode of birth after caesarean section: individual prediction scores using Scottish population data.

How data science can advance mental health research (2018)
Journal Article
Russ, T. C., Woelbert, E., Davis, K. A. S., Hafferty, J. D., Ibrahim, Z., Inkster, B., John, A., Lee, W., Maxwell, M., McIntosh, A. M., Stewart, R., & MQ Data Science Group. (2018). How data science can advance mental health research. Nature Human Behavio

Accessibility of powerful computers and availability of so-called big data from a variety of sources means that data science approaches are becoming pervasive. However, their application in mental health research is often considered to be at an earli... Read More about How data science can advance mental health research.

Patient factors associated with SSRI dose for depression treatment in general practice: A primary care cross sectional study (2014)
Journal Article
Johnson, C. F., Dougall, N. J., Williams, B., MacGillivray, S. A., Buchanan, A. I., & Hassett, R. D. (2014). Patient factors associated with SSRI dose for depression treatment in general practice: A primary care cross sectional study. BMC Family Practice,

Background Antidepressant prescribing continues to rise. Increased long-term prescribing and higher doses are contributing to current growth; however, patient factors associated with the use of higher doses remain unknown. This study’s aim was to in... Read More about Patient factors associated with SSRI dose for depression treatment in general practice: A primary care cross sectional study.

A Position Statement on Population Data Science: The science of data about people (2018)
Journal Article
McGrail, K., Jones, K., Akbari, A., Bennett, T., Boyd, A., Carinci, F., Cui, X., Denaxas, S., Dougall, N., Ford, D., Kirby, R. S., Kum, H., Moorin, R., Moran, R., O'Keefe, C., Preen, D., Quan, H., Sanmartin, C., Schull, M., Smith, M., …Kotelchuck, M. (2

Information is increasingly digital, creating opportunities to respond to pressing issues about human populations using linked datasets that are large, complex, and diverse. The potential social and individual benefits that can come from data-intensi... Read More about A Position Statement on Population Data Science: The science of data about people.