Paper: Applying Discourse Analysis and Data Mining Methods to Spoken OSCE Assessments

ACL ID C08-1073
Title Applying Discourse Analysis and Data Mining Methods to Spoken OSCE Assessments
Venue International Conference on Computational Linguistics
Session Main Conference
Year 2008
Authors

This paper looks at the transcribed data of patient-doctor consultations in an exami- nation setting. The doctors are interna- tionally qualified and enrolled in a bridg- ing course as preparation for their Aus- tralian Medical Council examination. In this study, we attempt to ascertain if there are measurable linguistic features of the consultations, and to investigate whether there is any relevant information about the communicative styles of the qualify- ing doctors that may predict satisfactory or non-satisfactory examination outcomes. We have taken a discourse analysis ap- proach in this study, where the core unit of analysis is a ‘turn’. We approach this prob- lem as a binary classification task and em- ploy data mining methods to see whether the application of which to richly ...