The paper presents an open-domain Question Answering system for Romanian, answering COVID-19 related questions. The QA system pipeline involves automatic question processing, automatic query generation, web searching for the top 10 most relevant documents and answer extraction using a fine-tuned BERT model for Extractive QA, trained on a COVID-19 data set that we have manually created. The paper will present the QA system and its integration with the Romanian language technologies portal RELATE, the COVID-19 data set and different evaluations of the QA performance.
Cite
@article{arxiv.2206.08046,
title = {An Open-Domain QA System for e-Governance},
author = {Radu Ion and Andrei-Marius Avram and Vasile Păiş and Maria Mitrofan and Verginica Barbu Mititelu and Elena Irimia and Valentin Badea},
journal= {arXiv preprint arXiv:2206.08046},
year = {2022}
}
Comments
8 pages, accepted to CLIB2022 in the main conference