---
language:
- id
tags:
- machine-reading-comprehension
- question-answering
- extractive-qa
datasets:
- rifkiaputri/idk-mrc
---

# XLM-R for Indonesian MRC (cased)

[XLM-R](https://huggingface.co/xlm-roberta-base) 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",
}
```