NERA 2.0: Improving coverage and performance of rule-based named entity recognition for Arabic

@article{Oudah2017NERA2I,
  title={NERA 2.0: Improving coverage and performance of rule-based named entity recognition for Arabic},
  author={Mai Oudah and Khaled F. Shaalan},
  journal={Natural Language Engineering},
  year={2017},
  volume={23},
  pages={441-472}
}
Named Entity Recognition (NER) is an essential task for many natural language processing systems, which makes use of various linguistic resources. NER becomes more complicated when the language in use is morphologically rich and structurally complex, such as Arabic. This language has a set of characteristics that makes it particularly challenging to handle… CONTINUE READING