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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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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) |
