In this paper we look at the manual analysis 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 machine learning algorithm to extract propositions from text, with a topic model to determine argument structure. The results of this method are compared to a manual analysis.
REF ] combined a machine learning algorithm to extract propositions from philosophical text, with a topic model to determine argument structure, without considering whether a piece of text is part of an argument.
Mining Arguments From 19th Century Philosophical Texts Using Topic Based Modelling
ArgMining@ACL
Computer Science