@InProceedings{albogamy-ramsay-ahmed:2017:W17-13,
  author    = {Albogamy, Fahad  and  Ramsay, Allan  and  Ahmed, Hanady},
  title     = {Arabic Tweets Treebanking and Parsing: A Bootstrapping Approach},
  booktitle = {Proceedings of the Third Arabic Natural Language Processing Workshop},
  month     = {April},
  year      = {2017},
  address   = {Valencia, Spain},
  publisher = {Association for Computational Linguistics},
  pages     = {94--99},
  abstract  = {In this paper, we propose using a "bootstrapping" method for constructing a
	dependency treebank of Arabic tweets. This method uses a rule-based parser to
	create a small treebank of one thousand Arabic tweets and a data-driven parser
	to create a larger treebank by using the small treebank as a seed training set.
	We are able to create a dependency treebank from unlabelled tweets without any
	manual intervention. Experiments results show that this method can improve the
	speed of training the parser and the accuracy of the resulting parsers.},
  url       = {http://www.aclweb.org/anthology/W17-1312}
}