metadata
language:
- id
tags:
- machine-reading-comprehension
- question-answering
- extractive-qa
datasets:
- rifkiaputri/idk-mrc
XLM-R for Indonesian MRC (cased)
XLM-R model fine-tuned on IDK-MRC dataset for answering extractive questions in Indonesian. Please refer to this paper for more details on the model.
Citation Info
@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",
}