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README.md
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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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- named-entity-recognition
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language:
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- ind
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---
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Rule-based annotation Indonesian NER Dataset of 48,957 sentences or 1,478,286 tokens.
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Annotation conforms the Stanford-NER format (https://stanfordnlp.github.io/CoreNLP/ner.html) for 3 NER tags of Person, Organisation, and Place.
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This dataset consists of 41,297, 14,770, and 82,179 tokens of entity (respectively) from over 14, 6, and 5 rules.
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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{8355036,
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author={Alfina, Ika and Savitri, Septiviana and Fanany, Mohamad Ivan},
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title={Modified DBpedia entities expansion for tagging automatically NER dataset},
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booktitle={2017 International Conference on Advanced Computer Science and Information Systems (ICACSIS)},
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pages={216-221},
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year={2017},
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url={https://ieeexplore.ieee.org/document/8355036},
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doi={10.1109/ICACSIS.2017.8355036}}
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@INPROCEEDINGS{7872784,
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author={Alfina, Ika and Manurung, Ruli and Fanany, Mohamad Ivan},
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booktitle={2016 International Conference on Advanced Computer Science and Information Systems (ICACSIS)},
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title={DBpedia entities expansion in automatically building dataset for Indonesian NER},
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year={2016},
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pages={335-340},
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doi={10.1109/ICACSIS.2016.7872784}}
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```
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## License
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You can use this dataset for free. You don't need our permission to use it. Please cite our paper if your work uses our data in your publication.
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Please note that you are not allowed to create a copy of this dataset and share it publicly in your own repository without our permission.
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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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