A classification system for argumentation schemes

Abstract

This paper explains the importance of classifying argumentation schemes, and outlines how schemes are being used in current research in artificial intelligence and computational linguistics on argument mining. It provides a survey of the literature on scheme classification. What are so far generally taken to represent a set of the most widely useful defeasible argumentation schemes are surveyed and explained systematically, including some that are difficult to classify. A new classification system covering these centrally important schemes is built.

Keywords:

• argument representation
• argument interpretation
• computational models of natural language argument

Conflict of interest disclosure statement

No potential conflict of interest was reported by the authors.

Acknowledgments

Douglas Walton would like to thank the Social Sciences and Humanities Research Council of Canada for Insight Grant 435-2012-0104. Fabrizio Macagno would like to thank the Fundação para a Ciência ea Tecnologia for the research grant on Argumentation, Communication and Context (PTDC/FIL-FIL/110117/2009).

Notes

1. Araucaria can be downloaded from http://araucaria.computing.dundee.ac.uk/doku.php.

2. Carneades can be downloaded from http://carneades.github.com/.