An Open-Domain QA System for e-Governance
Radu Ion, Andrei-Marius Avram, Vasile Păis, Maria Mitrofan, Verginica Barbu Mititelu, Elena Irimia, Valentin Badea
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.- Anthology ID:
- 2022.clib-1.12
- Volume:
- Proceedings of the 5th International Conference on Computational Linguistics in Bulgaria (CLIB 2022)
- Month:
- September
- Year:
- 2022
- Address:
- Sofia, Bulgaria
- Venue:
- CLIB
- SIG:
- Publisher:
- Department of Computational Linguistics, IBL -- BAS
- Note:
- Pages:
- 105–112
- Language:
- URL:
- https://aclanthology.org/2022.clib-1.12
- DOI:
- Cite (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.
- Cite (Informal):
- An Open-Domain QA System for e-Governance (Ion et al., CLIB 2022)
- PDF:
- https://preview.aclanthology.org/corrections-2024-05/2022.clib-1.12.pdf