On Natural Language Generation of Formal Argumentation
June 13, 2017 Β· Declared Dead Β· π AIΒ³@AI*IA
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Authors
Federico Cerutti, Alice Toniolo, Timothy J. Norman
arXiv ID
1706.04033
Category
cs.AI: Artificial Intelligence
Citations
4
Venue
AIΒ³@AI*IA
Last Checked
4 months ago
Abstract
In this paper we provide a first analysis of the research questions that arise when dealing with the problem of communicating pieces of formal argumentation through natural language interfaces. It is a generally held opinion that formal models of argumentation naturally capture human argument, and some preliminary studies have focused on justifying this view. Unfortunately, the results are not only inconclusive, but seem to suggest that explaining formal argumentation to humans is a rather articulated task. Graphical models for expressing argumentation-based reasoning are appealing, but often humans require significant training to use these tools effectively. We claim that natural language interfaces to formal argumentation systems offer a real alternative, and may be the way forward for systems that capture human argument.
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