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---
language:
- id
tags:
- machine-reading-comprehension
- question-answering
- extractive-qa
datasets:
- rifkiaputri/idk-mrc
---
# IndoBERT for Indonesian MRC (uncased)
[IndoBERT](https://huggingface.co/indobenchmark/indobert-base-p2) model fine-tuned on [IDK-MRC dataset](https://huggingface.co/datasets/rifkiaputri/idk-mrc) for answering extractive questions in Indonesian. Please refer to [this paper](https://aclanthology.org/2022.emnlp-main.465/) for more details on the model.
## Citation Info
```bibtex
@inproceedings{putri-oh-2022-idk,
title = "{IDK}-{MRC}: Unanswerable Questions for {I}ndonesian Machine Reading Comprehension",
author = "Putri, Rifki Afina and
Oh, Alice",
booktitle = "Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing",
month = dec,
year = "2022",
address = "Abu Dhabi, United Arab Emirates",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2022.emnlp-main.465",
pages = "6918--6933",
}
``` |