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) |