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README.md
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---
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tags:
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- named-entity-recognition
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language:
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- ind
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---
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The NERP dataset (Hoesen and Purwarianti, 2018) contains texts collected from several Indonesian news websites with five labels
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- PER (name of person)
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- LOC (name of location)
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- IND (name of product or brand)
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- EVT (name of the event)
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- FNB (name of food and beverage).
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NERP makes use of the IOB chunking format, just like the TermA dataset.
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## Dataset Usage
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Run `pip install nusacrowd` before loading the dataset through HuggingFace's `load_dataset`.
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## Citation
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```@inproceedings{hoesen2018investigating,
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title={Investigating bi-lstm and crf with pos tag embedding for indonesian named entity tagger},
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author={Hoesen, Devin and Purwarianti, Ayu},
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booktitle={2018 International Conference on Asian Language Processing (IALP)},
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pages={35--38},
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year={2018},
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organization={IEEE}
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}
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```
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## License
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Creative Common Attribution Share-Alike 4.0 International
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## Homepage
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### NusaCatalogue
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For easy indexing and metadata: [https://indonlp.github.io/nusa-catalogue](https://indonlp.github.io/nusa-catalogue)
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