@InProceedings{elrazzaz-EtAl:2017:Short,
  author    = {Elrazzaz, Mohammed  and  Elbassuoni, Shady  and  Shaban, Khaled  and  Helwe, Chadi},
  title     = {Methodical Evaluation of Arabic Word Embeddings},
  booktitle = {Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)},
  month     = {July},
  year      = {2017},
  address   = {Vancouver, Canada},
  publisher = {Association for Computational Linguistics},
  pages     = {454--458},
  abstract  = {Many unsupervised learning techniques have been proposed to obtain meaningful
	representations of words from text. In this study, we evaluate these various
	techniques when used to generate Arabic word embeddings. We first build a
	benchmark for the Arabic language that can be utilized to perform intrinsic
	evaluation of different word embeddings. We then perform additional extrinsic
	evaluations of the embeddings based on two NLP tasks.},
  url       = {http://aclweb.org/anthology/P17-2072}
}