README.md

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",
}