An Open-Domain QA System for e-Governance
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Abstract (arXiv)
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.
Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 13 of its 19 references that are in the map. First posted on arXiv 16 Jun 2022.
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References · 13
- 2018BERT: Pre-training of Deep Bidirectional Transformers for Language Understandingcited by 40,204
- 2020Dense Passage Retrieval for Open-Domain Question Answeringcited by 3,779
- 2018Deep contextualized word representationscited by 2,285
- 2020REALM: Retrieval-Augmented Language Model Pre-Trainingcited by 2,126
- 2018Know What You Don't Know: Unanswerable Questions for SQuADcited by 1,538
- 2019Latent Retrieval for Weakly Supervised Open Domain Question Answeringcited by 691
- 2021Retrieving and Reading: A Comprehensive Survey on Open-domain Question Answeringcited by 178
- 2019End-to-End Open-Domain Question Answering with BERTserinicited by 152
- 2020Question and Answer Test-Train Overlap in Open-Domain Question Answering Datasetscited by 137
- 2019Multi-passage BERT: A Globally Normalized BERT Model for Open-domain Question Answeringcited by 96
- 2021Efficient Passage Retrieval with Hashing for Open-domain Question Answeringcited by 53
- 2020The birth of Romanian BERTcited by 44
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