On natural language generation of formal argumentation

Federico Cerutti, Alice Toniolo, Timothy J. Norman

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)
2 Downloads (Pure)


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.

Original languageEnglish
Title of host publicationProceedings of the 3rd Workshop on Advances In Argumentation In Artificial Intelligence co-located with the 18th International Conference of the Italian Association for Artificial Intelligence (AI*IA 2019)
Subtitle of host publicationRende, Italy, November 19-22, 2019
EditorsFrancesco Santini, Alice Toniolo
PublisherSun SITE Central Europe
Number of pages15
Publication statusPublished - 27 Dec 2019
Event3rd Workshop on Advances In Argumentation In Artificial Intelligence, AI^3 2019 - Rende, Italy
Duration: 19 Nov 201922 Nov 2019

Publication series

NameCEUR Workshop Proceedings
ISSN (Print)1613-0073


Conference3rd Workshop on Advances In Argumentation In Artificial Intelligence, AI^3 2019


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