@InProceedings{lawrence-reed:2017:ArgumentMining2,
  author    = {Lawrence, John  and  Reed, Chris},
  title     = {Using Complex Argumentative Interactions to Reconstruct the Argumentative Structure of Large-Scale Debates},
  booktitle = {Proceedings of the 4th Workshop on Argument Mining},
  month     = {September},
  year      = {2017},
  address   = {Copenhagen, Denmark},
  publisher = {Association for Computational Linguistics},
  pages     = {108--117},
  abstract  = {In this paper we consider the insights that can be gained by considering large
	scale argument networks and the complex interactions between their constituent
	propositions. We investigate metrics for analysing properties of these
	networks, illustrating these using a corpus of arguments taken from the 2016 US
	Presidential Debates. We present techniques for determining these features
	directly from natural language text and show that there is a strong correlation
	between these automatically identified features and the argumentative structure
	contained within the text. Finally, we combine these metrics with argument
	mining techniques and show how the identification of argumentative relations
	can be improved by considering the larger context in which they occur.},
  url       = {http://www.aclweb.org/anthology/W17-5114}
}