Enhancing Statement Evaluation in Argumentation via Multi-Labelling Systems
Abstract
In computational models of argumentation, the justification of statements has drawn less attention than the construction and justification of arguments. As a consequence, significant losses of sensitivity and expressiveness in the treatment of statement statuses can be incurred by otherwise appealing formalisms. In order to reappraise statement statuses and, more generally, to support a uniform modelling of different phases of the argumentation process we introduce multi-labelling systems, a generic formalism devoted to represent reasoning processes consisting of a sequence of labelling stages. In this context, two families of multi-labelling systems, called argument-focused and statement-focused approach, are identified and compared. Then they are shown to be able to encompass several prominent literature proposals as special cases, thereby enabling a systematic comparison evidencing their merits and limits. Further, we show that the proposed model supports tunability of statement justification by specifying a few alternative statement justification labellings, and we illustrate how they can be seamlessly integrated into different formalisms.
Cite
Text
Baroni and Riveret. "Enhancing Statement Evaluation in Argumentation via Multi-Labelling Systems." Journal of Artificial Intelligence Research, 2019. doi:10.1613/JAIR.1.11428Markdown
[Baroni and Riveret. "Enhancing Statement Evaluation in Argumentation via Multi-Labelling Systems." Journal of Artificial Intelligence Research, 2019.](https://mlanthology.org/jair/2019/baroni2019jair-enhancing/) doi:10.1613/JAIR.1.11428BibTeX
@article{baroni2019jair-enhancing,
title = {{Enhancing Statement Evaluation in Argumentation via Multi-Labelling Systems}},
author = {Baroni, Pietro and Riveret, Régis},
journal = {Journal of Artificial Intelligence Research},
year = {2019},
pages = {793-860},
doi = {10.1613/JAIR.1.11428},
volume = {66},
url = {https://mlanthology.org/jair/2019/baroni2019jair-enhancing/}
}