---
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](https://github.com/IndoNLP/indonlu)

### NusaCatalogue

For easy indexing and metadata: [https://indonlp.github.io/nusa-catalogue](https://indonlp.github.io/nusa-catalogue)