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--- |
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license: mit |
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--- |
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# Romanian Covid Question Answering |
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This repository contains the a Romanian question answering for Covid-19 related queries. We used as the base model the [Romanian DistilBERT](https://huggingface.co/racai/distilbert-base-romanian-uncased). |
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The model was introduced in [this paper](https://arxiv.org/abs/2206.08046). |
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## Usage |
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**Important Note:** Currently, the model is not available for usage through the HuggingFace library. |
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Please install the following package: |
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``` |
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pip install git+https://github.com/racai-ai/BERT-SQuAD |
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``` |
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Then you can use the model with the following code sample: |
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```python |
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from bert import QA |
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model = QA("racai/e4a-covid-question-answering") |
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context = "Reacțiile adverse frecvente la tratamentul cu paxlovid sunt diaree, vărsături, mioartralgii, astenie fizică, erupții, inclusiv sindrom Stevens-Johnson." |
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question = "La ce reacții adverse să mă aștept dacă iau paxlovid?" |
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out = model.predict(context, question) |
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print(out) |
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# {'answer': 'diaree, vărsături, mioartralgii, astenie fizică, erupții, inclusiv sindrom Stevens-Johnson.', 'start': 8, 'end': 16, 'confidence': 0.999903004533245, 'document': [...]} |
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``` |
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### Citation |
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```bibtex |
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@article{ion2022open, |
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title={An Open-Domain QA System for e-Governance}, |
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author={Ion, Radu and Avram, Andrei-Marius and P{\u{a}}i{\c{s}}, Vasile and Mitrofan, Maria and Mititelu, Verginica Barbu and Irimia, Elena and Badea, Valentin}, |
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journal={arXiv preprint arXiv:2206.08046}, |
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year={2022} |
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} |
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``` |
