AraVec: A set of Arabic Word Embedding Models for use in Arabic NLP

Abu Bakr Soliman, Kareem Eissa, Samhaa R. El-Beltagy. AraVec: A set of Arabic Word Embedding Models for use in Arabic NLP. In Khaled Shaalan, Samhaa R. El-Beltagy, editors, Third International Conference On Arabic Computational Linguistics, ACLING 2017, November 5-6, 2017, Dubai, UAE. Volume 117 of Procedia Computer Science, pages 256-265, Elsevier, 2017. [doi]

@inproceedings{SolimanEE17,
  title = {AraVec: A set of Arabic Word Embedding Models for use in Arabic NLP},
  author = {Abu Bakr Soliman and Kareem Eissa and Samhaa R. El-Beltagy},
  year = {2017},
  doi = {10.1016/j.procs.2017.10.117},
  url = {https://doi.org/10.1016/j.procs.2017.10.117},
  researchr = {https://researchr.org/publication/SolimanEE17},
  cites = {0},
  citedby = {0},
  pages = {256-265},
  booktitle = {Third International Conference On Arabic Computational Linguistics, ACLING 2017, November 5-6, 2017, Dubai, UAE},
  editor = {Khaled Shaalan and Samhaa R. El-Beltagy},
  volume = {117},
  series = {Procedia Computer Science},
  publisher = {Elsevier},
}