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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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+
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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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+
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+
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+ ## Dataset Usage
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+
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+ Run `pip install nusacrowd` before loading the dataset through HuggingFace's `load_dataset`.
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+
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+ ## Citation
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+
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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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+
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+ ## License
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+
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+ Creative Common Attribution Share-Alike 4.0 International
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+
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+ ## Homepage
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+
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+ ### NusaCatalogue
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+
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+ For easy indexing and metadata: [https://indonlp.github.io/nusa-catalogue](https://indonlp.github.io/nusa-catalogue)