Applying Kernel Methods to Argumentation Mining.
Niall Rooney, Hui Wang, Fiona Browne · Research Portal (Queen's University Belfast) · 2012
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.