@InProceedings{wachsmuth-EtAl:2017:EACLlong,
  author    = {Wachsmuth, Henning  and  Naderi, Nona  and  Hou, Yufang  and  Bilu, Yonatan  and  Prabhakaran, Vinodkumar  and  Thijm, Tim Alberdingk  and  Hirst, Graeme  and  Stein, Benno},
  title     = {Computational Argumentation Quality Assessment in Natural Language},
  booktitle = {Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 1, Long Papers},
  month     = {April},
  year      = {2017},
  address   = {Valencia, Spain},
  publisher = {Association for Computational Linguistics},
  pages     = {176--187},
  abstract  = {Research on computational argumentation faces the problem of how to
	automatically assess the quality of an argument or argumentation. While
	different quality dimensions have been approached in natural language
	processing, a common understanding of argumentation quality is still missing.
	This paper presents the first holistic work on computational argumentation
	quality in natural language. We comprehensively survey the diverse existing
	theories and approaches to assess logical, rhetorical, and dialectical quality
	dimensions, and we derive a systematic taxonomy from these. In addition, we
	provide a corpus with 320 arguments, annotated for all 15 dimensions in the
	taxonomy. Our results establish a common ground for research on computational
	argumentation quality assessment.},
  url       = {http://www.aclweb.org/anthology/E17-1017}
}