@InProceedings{wachsmuth-EtAl:2017:ArgumentMining,
  author    = {Wachsmuth, Henning  and  Potthast, Martin  and  Al Khatib, Khalid  and  Ajjour, Yamen  and  Puschmann, Jana  and  Qu, Jiani  and  Dorsch, Jonas  and  Morari, Viorel  and  Bevendorff, Janek  and  Stein, Benno},
  title     = {Building an Argument Search Engine for the Web},
  booktitle = {Proceedings of the 4th Workshop on Argument Mining},
  month     = {September},
  year      = {2017},
  address   = {Copenhagen, Denmark},
  publisher = {Association for Computational Linguistics},
  pages     = {49--59},
  abstract  = {Computational argumentation is expected to play a critical role in the future
	of web search. To make this happen, many search-related questions must be
	revisited, such as how people query for arguments, how to mine arguments from
	the web, or how to rank them. In this paper, we develop an argument search
	framework for studying these and further questions. The framework allows for
	the composition of approaches to acquiring, mining, assessing, indexing,
	querying, retrieving, ranking, and presenting arguments while relying on
	standard infrastructure and interfaces. Based on the framework, we build a
	prototype search engine, called args, that relies on an initial, freely
	accessible index of nearly 300k arguments crawled from reliable web resources.
	The framework and the argument search engine are intended as an environment for
	collaborative research on computational argumentation and its practical
	evaluation.},
  url       = {http://www.aclweb.org/anthology/W17-5106}
}