NSURL-2019 task 7: Named Entity Recognition (NER) in Farsi

These data sets were presented for NSURL-2019 task 7.
Training data has two parts: the first part is PEYMA corpus containing 300K tokens; the second part has 600K tokens. Test data contains 150K tokens and was prepared for NSURL-2019.

Reference

For more information about the shared task and the results, please refer to the following paper:

InProceedings{Task7: NERFarsi,
  Author    = {Nasrin Taghizadeh and Zeinab Borhani-fard and Melika Golestani Pour and Mojgan Farhoodi and Maryam Mahmoudi and Masoumeh Azimzadeh and Heshaam Faili},
  Title     = {{NSURL}-2019 Task 7: Named Entity Recognition (NER) in Farsi},
  Booktitle = {Proceedings of the first International Workshop on NLP Solutions for Under Resourced Languages},
  series    = {NSURL '19},
  month     = {September},
  year      = {2019},
  address   = {Trento, Italy}
}