Romanian Question Answering Using Transformer Based Neural Networks

  • B.-A. Diaconu Department of Computer Science, Babes-Bolyai University, 1, M. Kogalniceanu Street, 400084, Cluj-Napoca, Romania
  • B Lazar-Lorincz Babes-Bolyai University, 1, M. Kogalniceanu Street, 400084, Cluj-Napoca, Romania


Question answering is the task of predicting answers for questions based on a context paragraph. It has become especially important, as the large amounts of textual data available online requires not only gathering information but also the task of findings specific answers to specific questions. In this work, we present experiments evaluated on the XQuAD-ro question answering dataset that has been recently published based on the translation of the SQuAD dataset into Romanian. Our bestperforming model, Romanian fine-tuned BERT, achieves an F1 score of 0.80 and an EM score of 0.73. We show that fine-tuning the model with the addition of the Romanian translation slightly increases the evaluation metrics.


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How to Cite
DIACONU, B.-A.; LAZAR-LORINCZ, B. Romanian Question Answering Using Transformer Based Neural Networks. Studia Universitatis Babeș-Bolyai Informatica, [S.l.], v. 67, n. 1, p. 37-44, july 2022. ISSN 2065-9601. Available at: <>. Date accessed: 18 aug. 2022. doi: