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posp
POSP is a POS Tagging dataset containing 8400 sentences, collected from Indonesian news website with 26 POS tag classes.
The POS tag labels follow the Indonesian Association of Computational Linguistics (INACL) POS Tagging Convention.
POSP dataset is splitted into 3 sets with 6720 train, 840 validation, and 840 test data.
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={Devin Hoesen and Ayu Purwarianti},
booktitle={Proceedings of the 2018 International Conference on Asian Language Processing (IALP)},
pages={35--38},
year={2018},
organization={IEEE}
}
@inproceedings{wilie2020indonlu,
title={IndoNLU: Benchmark and Resources for Evaluating Indonesian Natural Language Understanding},
author={Bryan Wilie and Karissa Vincentio and Genta Indra Winata and Samuel Cahyawijaya and X. Li and Zhi Yuan Lim and S. Soleman and R. Mahendra and Pascale Fung and Syafri Bahar and A. Purwarianti},
booktitle={Proceedings of the 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing},
year={2020}
}
License
Creative Common Attribution Share-Alike 4.0 International
Homepage
https://github.com/IndoNLP/indonlu
NusaCatalogue
For easy indexing and metadata: https://indonlp.github.io/nusa-catalogue
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