@inproceedings{osenova-simov-2024-bulgarian,
    title = "{B}ulgarian {P}arla{M}int 4.0 corpus as a testset for Part-of-speech tagging and Named Entity Recognition",
    author = "Osenova, Petya  and
      Simov, Kiril",
    editor = "Fiser, Darja  and
      Eskevich, Maria  and
      Bordon, David",
    booktitle = "Proceedings of the IV Workshop on Creating, Analysing, and Increasing Accessibility of Parliamentary Corpora (ParlaCLARIN) @ LREC-COLING 2024",
    month = may,
    year = "2024",
    address = "Torino, Italia",
    publisher = "ELRA and ICCL",
    url = "https://preview.aclanthology.org/jlcl-multiple-ingestion/2024.parlaclarin-1.4/",
    pages = "30--35",
    abstract = "The paper discusses some fine-tuned models for the tasks of part-of-speech tagging and named entity recognition. The fine-tuning was performed on the basis of an existing BERT pre-trained model and two newly pre-trained BERT models for Bulgarian that are cross-tested on the domain of the Bulgarian part of the ParlaMint corpora as a new domain. In addition, a comparison has been made between the performance of the new fine-tuned BERT models and the available results from the Stanza-based model which the Bulgarian part of the ParlaMint corpora has been annotated with. The observations show the weaknesses in each model as well as the common challenges."
}