@inproceedings{fajcik-etal-2022-idiapers,
    title = "{IDIAP}ers @ Causal News Corpus 2022: Extracting Cause-Effect-Signal Triplets via Pre-trained Autoregressive Language Model",
    author = "Fajcik, Martin  and
      Singh, Muskaan  and
      Zuluaga-gomez, Juan Pablo  and
      Villatoro-tello, Esau  and
      Burdisso, Sergio  and
      Motlicek, Petr  and
      Smrz, Pavel",
    editor = {H{\"u}rriyeto{\u{g}}lu, Ali  and
      Tanev, Hristo  and
      Zavarella, Vanni  and
      Y{\"o}r{\"u}k, Erdem},
    booktitle = "Proceedings of the 5th Workshop on Challenges and Applications of Automated Extraction of Socio-political Events from Text (CASE)",
    month = dec,
    year = "2022",
    address = "Abu Dhabi, United Arab Emirates (Hybrid)",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2022.case-1.10/",
    doi = "10.18653/v1/2022.case-1.10",
    pages = "70--78"
}