On the structuring of discussion transcripts based on utterances automatically classified

This report describes the development of a method of creating argument diagrams of discussions. An argument structure called the Twente Argumenta Schema (TAS) is described together with a corpus of argument diagrams of discussions. Methods are presented to extract values out of several characteristics of utterances in discussions, most of them concerning combinations of words and part of speech tags. Using these values experiments are performed on the classification of utterances in discussions according to TAS. We present several classification results, using as well different values for parameters as different features. Our best performance of 78.52% is a nice improvement over the baseline of classifying utterances according to TAS. Still many improvements can be made, especially in the selection of the right word combinations as characteristics of a class of arguments.