Using argumentation strategies in automated argument generation

  • Authors:
  • Ingrid Zukerman;Richard McConachy;Kevin B. Korb

  • Affiliations:
  • Monash University, Clayton, Victoria, Australia;Monash University, Clayton, Victoria, Australia;Monash University, Clayton, Victoria, Australia

  • Venue:
  • INLG '00 Proceedings of the first international conference on Natural language generation - Volume 14
  • Year:
  • 2000

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Abstract

During argumentation, people persuade their audience using a variety of strategies, e.g., hypothetical reasoning, reasoning by cases and ordinary premise-to-goal arguments. In this paper, we offer an operational definition of the conditions for pursuing these strategies, and incorporate into a Bayesian argument-generation system a mechanism for proposing applicable argumentation strategies, generating specific arguments based on these strategies, and selecting a final argument.