@inproceedings{thakkar-etal-2023-croatian,
    title = "{C}roatian Film Review Dataset (Cro-{F}i{R}e{D}a): A Sentiment Annotated Dataset of Film Reviews",
    author = "Thakkar, Gaurish  and
      Mikelic Preradovic, Nives  and
      Tadi{\'c}, Marko",
    editor = "Piskorski, Jakub  and
      Marci{\'n}czuk, Micha{\l}  and
      Nakov, Preslav  and
      Ogrodniczuk, Maciej  and
      Pollak, Senja  and
      P{\v{r}}ib{\'a}{\v{n}}, Pavel  and
      Rybak, Piotr  and
      Steinberger, Josef  and
      Yangarber, Roman",
    booktitle = "Proceedings of the 9th Workshop on Slavic Natural Language Processing 2023 (SlavicNLP 2023)",
    month = may,
    year = "2023",
    address = "Dubrovnik, Croatia",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/ingest-emnlp/2023.bsnlp-1.4/",
    doi = "10.18653/v1/2023.bsnlp-1.4",
    pages = "25--31",
    abstract = "This paper introduces Cro-FiReDa, a sentiment-annotated dataset for Croatian in the domain of movie reviews. The dataset, which contains over 10,000 sentences, has been annotated at the sentence level. In addition to presentingthe overall annotation process, we also present benchmark results based on the transformer-based fine-tuning approach."
}