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)
Abstract
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.Author Profiles
Analytics
Added to PP
2018-03-22
Downloads
512 (#17,052)
6 months
18 (#54,050)
2018-03-22
Downloads
512 (#17,052)
6 months
18 (#54,050)
Historical graph of downloads since first upload
This graph includes both downloads from PhilArchive and clicks on external links on PhilPapers.
How can I increase my downloads?