Automated argument assistance for lawyers
ICAIL '99 Proceedings of the 7th international conference on Artificial intelligence and law
Dialectical argumentation with argumentation schemes: an approach to legal logic
Artificial Intelligence and Law - Law, logic and defeasibility
Coherence and Flexibility in Dialogue Games for Argumentation
Journal of Logic and Computation
Towards an argument interchange format
The Knowledge Engineering Review
Laying the foundations for a World Wide Argument Web
Artificial Intelligence
Elements of Argumentation
Review: representing and classifying arguments on the semantic web
The Knowledge Engineering Review
Proceedings of the 2010 conference on Computational Models of Argument: Proceedings of COMMA 2010
Araucaria-PL: software for teaching argumentation theory
TICTTL'11 Proceedings of the Third international congress conference on Tools for teaching logic
A Framework to Extract Arguments in Opinion Texts
International Journal of Cognitive Informatics and Natural Intelligence
A Framework to Extract Arguments in Opinion Texts
International Journal of Cognitive Informatics and Natural Intelligence
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The aim of the paper is to propose a robust model of interpersonal argumentation (IP). The IP-arguments directly address participants of communication, i.e. they refer to speech acts rather than to propositional contents. Argumentation theory recognizes several IP-arguments, e.g. argument from position to know or ad hominem arguments. The model proposed in the paper enables to describe references to different types of speech acts --not only assertives, but also commissives and directives. The IP-arguments are assumed to be warranted by the component of authorizing an agent to perform a given speech act. Consequently, the wider class of IP-communication can be expressed in the extended model, such as e.g. the structure of generic ad hominem can be explicitly represented as the undercutter.