| 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) |