Mining Arguments From 19th Century Philosophical Texts Using Topic Based Modelling

In Proceedings of the First Workshop on Argumentation Mining. Baltimore, USA: pp. 79-87 (2014)
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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.
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References found in this work BETA
Argumentation Schemes.Walton, Douglas; Reed, Chris & Macagno, Fabrizio
The Carneades Model of Argument and Burden of Proof.Gordon, Thomas F.; Prakken, Henry & Walton, Douglas N.

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Multi-Level Computational Methods for Interdisciplinary Research in the HathiTrust Digital Library.Murdock, Jaimie; Allen, Colin; Börner, Katy; Light, Robert; McAlister, Simon; Ravenscroft, Andrew; Rose, Robert; Rose, Doori; Otsuka, Jun; Bourget, David; Lawrence, John & Reed, Chris

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