E4a Covid Question Answering

🚀 Romanian Covid Question Answering

This repository offers a Romanian question answering system tailored for Covid-19 related queries. It leverages the Romanian DistilBERT as its base model.

🚀 Quick Start

This repository contains a Romanian question answering system for Covid-19 related queries. The base model used is Romanian DistilBERT. The model was introduced in this paper.

💻 Usage Examples

Basic Usage

⚠️ Important Note

Currently, the model is not available for usage through the HuggingFace library.

First, install the required package:

pip install git+https://github.com/racai-ai/BERT-SQuAD

Then, you can use the model with the following code:

from bert import QA

model = QA("racai/e4a-covid-question-answering")

context = "Reacțiile adverse frecvente la tratamentul cu paxlovid sunt diaree, vărsături, mioartralgii, astenie fizică, erupții, inclusiv sindrom Stevens-Johnson."
question = "La ce reacții adverse să mă aștept dacă iau paxlovid?"

out = model.predict(context, question)
print(out)
# {'answer': 'diaree, vărsături, mioartralgii, astenie fizică, erupții, inclusiv sindrom Stevens-Johnson.', 'start': 8, 'end': 16, 'confidence': 0.999903004533245, 'document': [...]}

Citation

@article{ion2022open,
  title={An Open-Domain QA System for e-Governance},
  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},
  journal={arXiv preprint arXiv:2206.08046},
  year={2022}
}

📄 License

This project is licensed under the MIT license.