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README.md
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# mt5-base for Indonesian Unanswerable Question Generation (cased)
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[mT5-base](https://huggingface.co/google/mt5-base) model fine-tuned on machine-translated SQuAD 2.0 dataset for generating unanswerable questions in Indonesian. Please refer to [this paper](https://
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## Citation Info
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```bibtex
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@
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year =
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}
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```
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# mt5-base for Indonesian Unanswerable Question Generation (cased)
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[mT5-base](https://huggingface.co/google/mt5-base) model fine-tuned on machine-translated SQuAD 2.0 dataset for generating unanswerable questions in Indonesian. Please refer to [this paper](https://aclanthology.org/2022.emnlp-main.465/) for more details on the model.
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## Citation Info
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```bibtex
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@inproceedings{putri-oh-2022-idk,
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title = "{IDK}-{MRC}: Unanswerable Questions for {I}ndonesian Machine Reading Comprehension",
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author = "Putri, Rifki Afina and
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Oh, Alice",
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booktitle = "Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing",
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month = dec,
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year = "2022",
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address = "Abu Dhabi, United Arab Emirates",
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publisher = "Association for Computational Linguistics",
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url = "https://aclanthology.org/2022.emnlp-main.465",
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pages = "6918--6933",
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}
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```
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