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An Open-Domain QA System for e-Governance

Authors :
Ion, Radu
Avram, Andrei-Marius
Păiş, Vasile
Mitrofan, Maria
Mititelu, Verginica Barbu
Irimia, Elena
Badea, Valentin
Publication Year :
2022

Abstract

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.<br />Comment: 8 pages, accepted to CLIB2022 in the main conference

Details

Database :
arXiv
Publication Type :
Report
Accession number :
edsarx.2206.08046
Document Type :
Working Paper