Experiments in automated support for argument reconstruction

This paper describes the outcomes of experiments in automated support for argument reconstruction from natural language texts. We investigated several possibilities to support a manual process by using natural language processing, from classifying pieces of text as either argumentative or non-argumentative to clustering text fragments in the hope that these clusters would contain similar arguments. Results are diverse, but also show that we cannot come a long way without an extensive pre-tagged corpus