@InProceedings{wachsmuth-alkhatib-stein:2016:COLING,
  author    = {Wachsmuth, Henning  and  Al Khatib, Khalid  and  Stein, Benno},
  title     = {Using Argument Mining to Assess the Argumentation Quality of Essays},
  booktitle = {Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers},
  month     = {December},
  year      = {2016},
  address   = {Osaka, Japan},
  publisher = {The COLING 2016 Organizing Committee},
  pages     = {1680--1691},
  abstract  = {Argument mining aims to determine the argumentative structure of texts.
	Although it is said to be crucial for future applications such as writing
	support systems, the benefit of its output has rarely been evaluated. This
	paper puts the analysis of the output into the focus.  In particular, we
	investigate to what extent the mined structure can be leveraged to assess the
	argumentation quality of persuasive essays. We find insightful statistical
	patterns in the structure of essays. From these, we derive novel features that
	we evaluate in four argumentation-related essay scoring tasks. Our results
	reveal the benefit of argument mining for assessing argumentation quality.
	Among others, we improve the state of the art in scoring an essay's
	organization and its argument strength.},
  url       = {http://aclweb.org/anthology/C16-1158}
}