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--- |
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language: |
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- id |
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tags: |
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- machine-reading-comprehension |
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- question-answering |
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- extractive-qa |
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datasets: |
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- rifkiaputri/idk-mrc |
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--- |
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# IndoBERT for Indonesian MRC (uncased) |
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[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. |
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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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``` |
