ARGUER: Using Argument Schemas for Argument Detection and Rebuttal in Dialogs
This paper presents a computational method for argumentation on the basis of a declarative characterization of the structure of arguments. The method can be used to implement a computational agent that is both able to detect arguments and to generate candidate arguments for rebuttal. The method makes no a priori assumptions about attack and support relations between propositions that are advanced by the agents participating in a dialog. Rather, using the method, these relations are dynamically established while the dialog is taking place. This allows incremental processing since the system need only consider the current utterance advanced by the dialog participant, along with the prior context, to be able to continue processing.
KeywordsArgument Schema Support Relation Incremental Processing Argumentation Knowledge Prior Context
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