An Open-Domain QA System for e-Governance
Radu Ion, Andrei-Marius Avram, Vasile P\u{a}i\c{s}, Maria Mitrofan,, Verginica Barbu Mititelu, Elena Irimia, Valentin Badea

TL;DR
This paper introduces an open-domain question answering system for Romanian that leverages web search and a fine-tuned BERT model to answer COVID-19 questions, integrating with the RELATE portal.
Contribution
It presents a novel QA pipeline for Romanian, including a new COVID-19 dataset and system integration with language technologies.
Findings
The system effectively answers COVID-19 questions in Romanian.
The BERT-based answer extraction achieves promising accuracy.
The COVID-19 dataset supports future research in Romanian NLP.
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.
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Taxonomy
TopicsExpert finding and Q&A systems · Topic Modeling · Sentiment Analysis and Opinion Mining
MethodsMulti-Head Attention · Attention Is All You Need · Linear Layer · Residual Connection · Weight Decay · Layer Normalization · WordPiece · Softmax · Refunds@Expedia|||How do I get a full refund from Expedia? · Adam
