@InProceedings{aker-zhang:2017:ArgumentMining,
  author    = {Aker, Ahmet  and  Zhang, Huangpan},
  title     = {Projection of Argumentative Corpora from Source to Target Languages},
  booktitle = {Proceedings of the 4th Workshop on Argument Mining},
  month     = {September},
  year      = {2017},
  address   = {Copenhagen, Denmark},
  publisher = {Association for Computational Linguistics},
  pages     = {67--72},
  abstract  = {Argumentative corpora are costly to create and are available in only few
	languages with English dominating the area. In this paper we release the first
	publicly available Mandarin argumentative corpus. The corpus is created by
	exploiting the idea of comparable corpora from Statistical Machine Translation.
	We use existing corpora in English and manually map the claims and premises to
	comparable corpora in Mandarin. We also implement a simple solution to automate
	this approach with the view of creating argumentative corpora in other
	less-resourced languages. In this way we introduce a new task of multi-lingual
	argument mapping that can be evaluated using our English-Mandarin argumentative
	corpus. The preliminary results of our automatic argument mapper mirror the
	simplicity of our approach, but provide a baseline for further improvements.},
  url       = {http://www.aclweb.org/anthology/W17-5108}
}