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  1. Argument Diagramming in Logic, Artificial Intelligence, and Law.Chris Reed, Douglas Walton & Fabrizio Macagno - 2007 - Artificial Intelligence, and Law 22 (1):87-109.
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  2. Mining Arguments From 19th Century Philosophical Texts Using Topic Based Modelling.John Lawrence, Chris Reed, Simon McAlister, Andrew Ravenscroft, Colin Allen & David Bourget - 2014 - In Proceedings of the First Workshop on Argumentation Mining. Baltimore, USA: pp. 79-87.
    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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    Multi-Level Computational Methods for Interdisciplinary Research in the HathiTrust Digital Library.Jaimie Murdock, Colin Allen, Katy Börner, Robert Light, Simon McAlister, Andrew Ravenscroft, Robert Rose, Doori Rose, Jun Otsuka, David Bourget, John Lawrence & Chris Reed - 2017 - PLoS ONE 12 (9).
    We show how faceted search using a combination of traditional classification systems and mixed-membership topic models can go beyond keyword search to inform resource discovery, hypothesis formulation, and argument extraction for interdisciplinary research. Our test domain is the history and philosophy of scientific work on animal mind and cognition. The methods can be generalized to other research areas and ultimately support a system for semi-automatic identification of argument structures. We provide a case study for the application of the methods to (...)
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