@inproceedings{kuhn-etal-2024-using,
    title = "Using Pre-Trained Language Models in an End-to-End Pipeline for Antithesis Detection",
    author = {K{\"u}hn, Ramona  and
      Saadi, Khouloud  and
      Mitrovi{\'c}, Jelena  and
      Granitzer, Michael},
    editor = "Calzolari, Nicoletta  and
      Kan, Min-Yen  and
      Hoste, Veronique  and
      Lenci, Alessandro  and
      Sakti, Sakriani  and
      Xue, Nianwen",
    booktitle = "Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)",
    month = may,
    year = "2024",
    address = "Torino, Italia",
    publisher = "ELRA and ICCL",
    url = "https://preview.aclanthology.org/jlcl-multiple-ingestion/2024.lrec-main.1502/",
    pages = "17310--17320"
}