AMBIENTUM BIOETHICA BIOLOGIA CHEMIA DIGITALIA DRAMATICA EDUCATIO ARTIS GYMNAST. ENGINEERING EPHEMERIDES EUROPAEA GEOGRAPHIA GEOLOGIA HISTORIA HISTORIA ARTIUM INFORMATICA IURISPRUDENTIA MATHEMATICA MUSICA NEGOTIA OECONOMICA PHILOLOGIA PHILOSOPHIA PHYSICA POLITICA PSYCHOLOGIA-PAEDAGOGIA SOCIOLOGIA THEOLOGIA CATHOLICA THEOLOGIA CATHOLICA LATIN THEOLOGIA GR.-CATH. VARAD THEOLOGIA ORTHODOXA THEOLOGIA REF. TRANSYLVAN
The STUDIA UNIVERSITATIS BABEŞ-BOLYAI issue article summary
The summary of the selected article appears at the bottom of the page. In order to get back to the contents of the issue this article belongs to you have to access the link from the title. In order to see all the articles of the archive which have as author/co-author one of the authors mentioned below, you have to access the link from the author's name.
Authors: DIACONU BOGDAN-ALEXANDRU, LÁZÁR-LŐRINCZ BEÁTA.
DOI: 10.24193/subbi.2022.1.03
Published Online: 2022-07-03
pp. 37-44
VIEW PDF
FULL PDF
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.
Received by the editors: 9 December 2021.
2010 Mathematics Subject Classification. 68T07, 68T50.
1998 CR Categories and Descriptors. I.2.7 [Artificial Intelligence]: Natural Language Processing – Language models; I.2.7 [Artificial Intelligence]: Natural Language Processing – Language parsing and understanding; I.2.7 [Artificial Intelligence]: Natural Language Processing – Text analysis.
Key words and phrases. question answering, deep learning, Transformer, Romanian.
