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nergrit

Nergrit Corpus is a dataset collection of Indonesian Named Entity Recognition (NER), Statement Extraction,

and Sentiment Analysis developed by PT Gria Inovasi Teknologi (GRIT).

The Named Entity Recognition contains 18 entities as follow:

'CRD': Cardinal

'DAT': Date

'EVT': Event

'FAC': Facility

'GPE': Geopolitical Entity

'LAW': Law Entity (such as Undang-Undang)

'LOC': Location

'MON': Money

'NOR': Political Organization

'ORD': Ordinal

'ORG': Organization

'PER': Person

'PRC': Percent

'PRD': Product

'QTY': Quantity

'REG': Religion

'TIM': Time

'WOA': Work of Art

'LAN': Language

Dataset Usage

Run pip install nusacrowd before loading the dataset through HuggingFace's load_dataset.

Citation

@misc{Fahmi_NERGRIT_CORPUS_2019,
author = {Fahmi, Husni and Wibisono, Yudi and Kusumawati, Riyanti},
title = {{NERGRIT CORPUS}},
url = {https://github.com/grit-id/nergrit-corpus},
year = {2019}
}

License

MIT

Homepage

https://github.com/grit-id/nergrit-corpus

NusaCatalogue

For easy indexing and metadata: https://indonlp.github.io/nusa-catalogue

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