Working with clinicians to improve a patient-information NLG system

  • Authors:
  • Saad Mahamood;Ehud Reiter

  • Affiliations:
  • University of Aberdeen, Scotland, United Kingdom;University of Aberdeen, Scotland, United Kingdom

  • Venue:
  • INLG '12 Proceedings of the Seventh International Natural Language Generation Conference
  • Year:
  • 2012

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Abstract

NLG developers must work closely with domain experts in order to build good NLG systems, but relatively little has been published about this process. In this paper, we describe how NLG developers worked with clinicians (nurses) to improve an NLG system which generates information for parents of babies in a neonatal intensive care unit, using a structured revision process. We believe that such a process can significantly enhance the quality of many NLG systems, in medicine and elsewhere.