Real versus Template-Based Natural Language Generation: A False Opposition?

  • Authors:
  • Kees Van Deemter;Emiel Krahmer;Mariët Theune

  • Affiliations:
  • -;-;-

  • Venue:
  • Computational Linguistics
  • Year:
  • 2005

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Abstract

This article challenges the received wisdom that template-based approaches to the generation of language are necessarily inferior to other approaches as regards their maintainability, linguistic well-foundedness, and quality of output. Some recent NLG systems that call themselves ''template-based'' will illustrate our claims.