Generation of biomedical arguments for lay readers

  • Authors:
  • Nancy Green

  • Affiliations:
  • University of North Carolina Greensboro, Greensboro, North Carolina

  • Venue:
  • INLG '06 Proceedings of the Fourth International Natural Language Generation Conference
  • Year:
  • 2006

Quantified Score

Hi-index 0.00

Visualization

Abstract

This paper presents the design of a discourse generator that plans the content and organization of lay-oriented genetic counseling documents containing arguments, and an experiment to evaluate the arguments. Due to the separation of domain, argument, and genre-specific concerns and the methodology used for acquiring a domain model, this approach should be applicable to argument generation in other domains.