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Support in Abstract Argumentation
- G. Boella, D. Gabbay, Leendert van der Torre, S. Villata
- Computer Science, PhilosophyCOMMA
- 5 August 2010
This paper considers the “lost of admissibility” in Dung's sense and the definition of notions of attack in the context of a support relation, and shows how to prevent these drawbacks by introducing support meta-arguments.
Argument Mining on Twitter: Arguments, Facts and Sources
This paper applies supervised classification to identify arguments on Twitter, and presents two new tasks for argument mining, namely facts recognition and source identification, and studies the feasibility of the approaches proposed to address these tasks on a set of tweets related to the Grexit and Brexit news topics.
DART: a Dataset of Arguments and their Relations on Twitter
This paper describes a resource of natural language arguments called DART (Dataset of Arguments and their Relations on Twitter) where the complete argument mining pipeline over Twitter messages is considered.
Towards Artificial Argumentation
Recent developments in the field of computational models of argument are leading to technology for artificial argumentation, in the legal, medical, and e-government domains, and interesting tools for argument mining, for debating technologies, and for argumentation solvers are emerging.
Context-Aware Access Control for RDF Graph Stores
We present SHI3LD, an access control framework for RDF stores. Our solution supports access from mobile devices with context-aware policies and is exclusively grounded on standard Semantic Web…
The first international competition on computational models of argumentation: Results and analysis
Changing One's Mind: Erase or Rewind?
A framework for changing the agent's mind without erasing forever previous information is proposed, thus allowing its recovery in case the change turns out to be wrong, and adopting possibility theory to represent uncertainty about the information.
Enabling Linked Data Publication with the Datalift Platform
Datalift, a framework and a platform helping to lift raw data sources to semantic interlinked data sources, is presented.
Summary Report of The First International Competition on Computational Models of Argumentation
- Matthias Thimm, S. Villata, F. Cerutti, N. Oren, Hannes Strass, M. Vallati
- Computer ScienceAI Mag.
- 13 April 2016
Despite being the first competition in this area, the high number of competitors entered, and differences in results, suggest that the competition will help shape the landscape of ongoing developments in argumentation theory solvers.
Modelling defeasible and prioritized support in bipolar argumentation
- S. Villata, G. Boella, D. Gabbay, Leendert van der Torre
- Computer ScienceAnnals of Mathematics and Artificial Intelligence
- 1 December 2012
A way to model defeasible support in bipolar argumentation frameworks by using the methodology of meta-argumentation in which Dung’s theory is used to reason about itself and all properties of Dung's classical theory are preserved.