2026-08-04T21:03:26Zhttp://www.clarin.si/repository/oai/request

oai:www.clarin.si:11356/17782023-03-27T17:01:19Zhdl_11356_1023hdl_11356_1024

Fine-tuned models for extractive question answering in the Slovenian language Borovič, Mladen Žagar, Kristjan Ferme, Marko Majninger, Sandi Ojsteršek, Milan question answering slovenian language SQuAD extractive question answering language model 6 different fine-tuned Transformer-based models that solve the downstream task of extractive question answering in the Slovenian language. The fine-tuned models included are: bert-base-cased-squad2-SLO, bert-base-multilingual-cased-squad2-SLO, electra-base-squad2-SLO, roberta-base-squad2-SLO, sloberta-squad2-SLO and xlm-roberta-base-squad2-SLO. The models were trained and evaluated using the Slovene translation of the SQuAD2.0 dataset (https://www.clarin.si/repository/xmlui/handle/11356/1756). The models achieve these metric values: sloberta-squad2-SLO: EM=67.1, F1=73.56 xlm-roberta-base-squad2-SLO: EM=62.52, F1=69.51 bert-base-multilingual-cased-squad2-SLO: EM=61.37, F1=68.1 roberta-base-squad2-SLO: EM=58.23, F1=64.62 bert-base-cased-squad2-SLO: EM=55.12, F1=60.52 electra-base-squad2-SLO: EM=53.69, F1=60.85 2022-09-22 toolService http://hdl.handle.net/11356/1778 slv Creative Commons - Attribution 4.0 International (CC BY 4.0) https://creativecommons.org/licenses/by/4.0/ PUB text/plain; charset=utf-8 application/zip application/zip application/zip application/zip application/zip application/zip downloadable_files_count: 6 Faculty of Electrical Engineering and Computer Science, University of Maribor https://rsdo.slovenscina.eu/en/semantic-resources-and-technologies