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indolem_nerui
NER UI is a Named Entity Recognition dataset that contains 2,125 sentences obtained via an annotation assignment in an NLP course at the University of Indonesia in 2016.
The corpus has three named entity classes: location, organisation, and person with training/dev/test distribution: 1,530/170/42 and based on 5-fold cross validation.
Dataset Usage
Run pip install nusacrowd before loading the dataset through HuggingFace's load_dataset.
Citation
@INPROCEEDINGS{8275098,
author={Gultom, Yohanes and Wibowo, Wahyu Catur},
booktitle={2017 International Workshop on Big Data and Information Security (IWBIS)},
title={Automatic open domain information extraction from Indonesian text},
year={2017},
volume={},
number={},
pages={23-30},
doi={10.1109/IWBIS.2017.8275098}}
@article{DBLP:journals/corr/abs-2011-00677,
author = {Fajri Koto and
Afshin Rahimi and
Jey Han Lau and
Timothy Baldwin},
title = {IndoLEM and IndoBERT: {A} Benchmark Dataset and Pre-trained Language
Model for Indonesian {NLP}},
journal = {CoRR},
volume = {abs/2011.00677},
year = {2020},
url = {https://arxiv.org/abs/2011.00677},
eprinttype = {arXiv},
eprint = {2011.00677},
timestamp = {Fri, 06 Nov 2020 15:32:47 +0100},
biburl = {https://dblp.org/rec/journals/corr/abs-2011-00677.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
License
Creative Commons Attribution 4.0
Homepage
NusaCatalogue
For easy indexing and metadata: https://indonlp.github.io/nusa-catalogue
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