AAAI Publications, Twenty-Fifth International FLAIRS Conference

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Applying Kernel Methods to Argumentation Mining
Niall Rooney, Hui Wang, Fiona Browne

Last modified: 2012-05-16

Abstract


The area of argumentation theory is an increasingly important area of artificial intelligence and mechanisms that are able to automatically detect the argument structure provide a novel area of research. This paper considers the use of kernel methods for argumentation detection and classification. It shows that a classification accuracy of 65%, can be attained using Natural Language Processing based kernel approaches, which do not require any heuristic choice of features.

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