Outputs (2)

Generating Verbal Descriptions from Medical Sensor Data: A Corpus Study on User Preferences (2014)
Presentation / Conference Contribution
Gkatzia, D., Rieser, V., Mcsporran, A., Mcgowan, A., Mort, A., & Dewar, M. (2014, September). Generating Verbal Descriptions from Medical Sensor Data: A Corpus Study on User Preferences. Presented at BCS Health Informatics Scotland, Glasgow

Understanding and interpreting medical sensor data is an essential part of pre-hospital care in medical emergencies, but requires training and previous knowledge. In this paper, we describe ongoing work towards a medical decision support tool, which... Read More about Generating Verbal Descriptions from Medical Sensor Data: A Corpus Study on User Preferences.

Multi-adaptive Natural Language Generation using Principal Component Regression (2014)
Presentation / Conference Contribution
Gkatzia, D., Hastie, H., & Lemon, O. (2014, June). Multi-adaptive Natural Language Generation using Principal Component Regression. Presented at International Natural Language Generation Conference (INLG)

We present FeedbackGen, a system that uses a multi-adaptive approach to Natural Language Generation. With the term 'multi-adaptive', we refer to a system that is able to adapt its content to different user groups simultaneously, in our case adapting... Read More about Multi-adaptive Natural Language Generation using Principal Component Regression.