DeepAI AI Chat
Log In Sign Up

An Open-Domain QA System for e-Governance

by   radu ion, et al.

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.


page 1

page 2

page 3

page 4


Ranking Paragraphs for Improving Answer Recall in Open-Domain Question Answering

Recently, open-domain question answering (QA) has been combined with mac...

A Russian Jeopardy! Data Set for Question-Answering Systems

Question answering (QA) is one of the most common NLP tasks that relates...

Building Extractive Question Answering System to Support Human-AI Health Coaching Model for Sleep Domain

Non-communicable diseases (NCDs) are a leading cause of global deaths, n...

Answering Questions on COVID-19 in Real-Time

The recent outbreak of the novel coronavirus is wreaking havoc on the wo...

NeuralQA: A Usable Library for Question Answering (Contextual Query Expansion + BERT) on Large Datasets

Existing tools for Question Answering (QA) have challenges that limit th...

Measuring Domain Portability and ErrorPropagation in Biomedical QA

In this work we present Google's submission to the BioASQ 7 biomedical q...