@inproceedings{stammbach-etal-2019-domlin,
    title = "{DOMLIN} at {S}em{E}val-2019 Task 8: Automated Fact Checking exploiting Ratings in Community Question Answering Forums",
    author = "Stammbach, Dominik  and
      Varanasi, Stalin  and
      Neumann, Guenter",
    editor = "May, Jonathan  and
      Shutova, Ekaterina  and
      Herbelot, Aurelie  and
      Zhu, Xiaodan  and
      Apidianaki, Marianna  and
      Mohammad, Saif M.",
    booktitle = "Proceedings of the 13th International Workshop on Semantic Evaluation",
    month = jun,
    year = "2019",
    address = "Minneapolis, Minnesota, USA",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/fix-sig-urls/S19-2201/",
    doi = "10.18653/v1/S19-2201",
    pages = "1149--1154",
    abstract = "In the following, we describe our system developed for the Semeval2019 Task 8. We fine-tuned a BERT checkpoint on the qatar living forum dump and used this checkpoint to train a number of models. Our hand-in for subtask A consists of a fine-tuned classifier from this BERT checkpoint. For subtask B, we first have a classifier deciding whether a comment is factual or non-factual. If it is factual, we retrieve intra-forum evidence and using this evidence, have a classifier deciding the comment{'}s veracity. We trained this classifier on ratings which we crawled from qatarliving.com"
}