@inproceedings{ion-etal-2022-open,
title = "An Open-Domain {QA} System for e-Governance",
author = "Ion, Radu and
Avram, Andrei-Marius and
P{\u{a}}is, Vasile and
Mitrofan, Maria and
Mititelu, Verginica Barbu and
Irimia, Elena and
Badea, Valentin",
booktitle = "Proceedings of the 5th International Conference on Computational Linguistics in Bulgaria (CLIB 2022)",
month = sep,
year = "2022",
address = "Sofia, Bulgaria",
publisher = "Department of Computational Linguistics, IBL -- BAS",
url = "https://aclanthology.org/2022.clib-1.12",
pages = "105--112",
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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%0 Conference Proceedings
%T An Open-Domain QA System for e-Governance
%A Ion, Radu
%A Avram, Andrei-Marius
%A Păis, Vasile
%A Mitrofan, Maria
%A Mititelu, Verginica Barbu
%A Irimia, Elena
%A Badea, Valentin
%S Proceedings of the 5th International Conference on Computational Linguistics in Bulgaria (CLIB 2022)
%D 2022
%8 September
%I Department of Computational Linguistics, IBL – BAS
%C Sofia, Bulgaria
%F ion-etal-2022-open
%X 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.
%U https://aclanthology.org/2022.clib-1.12
%P 105-112
Markdown (Informal)
[An Open-Domain QA System for e-Governance](https://aclanthology.org/2022.clib-1.12) (Ion et al., CLIB 2022)
ACL
- Radu Ion, Andrei-Marius Avram, Vasile Păis, Maria Mitrofan, Verginica Barbu Mititelu, Elena Irimia, and Valentin Badea. 2022. An Open-Domain QA System for e-Governance. In Proceedings of the 5th International Conference on Computational Linguistics in Bulgaria (CLIB 2022), pages 105–112, Sofia, Bulgaria. Department of Computational Linguistics, IBL -- BAS.