Rhetorical models for computational systems: an interdisciplinary approach to reusable, tailorable medical information

Authors:
Ashley R. Kelly;Allan McDougall;Nike Abbott
Affiliations:
University of Waterloo, Waterloo, ON, Canada;University of Waterloo, Waterloo, ON, Canada;University of Waterloo, University of Waterloo, ON, Canada
Venue:
Proceedings of the 27th ACM international conference on Design of communication
Year:
2009

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Abstract

This paper aims to bring rhetorical scholarship to the field of Natural Language Processing (NLP) and further its inclusion in health communication studies. Much work in NLP relies upon statical machine learning techniques, which, while valuable, are still limited in their abilities. Rhetorical theory, the study of suasions, offers a new paradigm for NLP research and development. In this pilot study, we use rhetorical theory as an analytic approach to modeling discourse patterns in a highly tailor corpus of texts. Along with our findings, we argue that rhetorical theory and analysis can further the creation of both tailored documentation and computationally-generated texts.