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  1. Pubblicazioni

Enhancing statement evaluation in argumentation via multi-labelling systems

Articolo
Data di Pubblicazione:
2019
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.
Tipologia CRIS:
1.1 Articolo in rivista
Elenco autori:
Baroni, P.; Riveret, R.
Autori di Ateneo:
BARONI Pietro
Link alla scheda completa:
https://iris.unibs.it/handle/11379/527538
Pubblicato in:
THE JOURNAL OF ARTIFICIAL INTELLIGENCE RESEARCH
Journal
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