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metadata
tags:
  - named-entity-recognition
language:
  - ind

nerp

The NERP dataset (Hoesen and Purwarianti, 2018) contains texts collected from several Indonesian news websites with five labels

  • PER (name of person)

  • LOC (name of location)

  • IND (name of product or brand)

  • EVT (name of the event)

  • FNB (name of food and beverage).

NERP makes use of the IOB chunking format, just like the TermA dataset.

Dataset Usage

Run pip install nusacrowd before loading the dataset through HuggingFace's load_dataset.

Citation

@inproceedings{hoesen2018investigating,
  title={Investigating bi-lstm and crf with pos tag embedding for indonesian named entity tagger},
  author={Hoesen, Devin and Purwarianti, Ayu},
  booktitle={2018 International Conference on Asian Language Processing (IALP)},
  pages={35--38},
  year={2018},
  organization={IEEE}
}

License

Creative Common Attribution Share-Alike 4.0 International

Homepage

https://github.com/IndoNLP/indonlu

NusaCatalogue

For easy indexing and metadata: https://indonlp.github.io/nusa-catalogue