Mining Arguments From 19th Century Philosophical Texts Using Topic Based Modelling
John Shelton Lawrence, Chris Reed, Colin Allen, Simon McAlister, Andrew Ravenscroft · 2014
In this paper we look at the manual anal-ysis of arguments and how this compares to the current state of automatic argument analysis. These considerations are used to develop a new approach combining a ma-chine learning algorithm to extract propo-sitions from text, with a topic model to de-termine argument structure. The results of this method are compared to a manual analysis. 1