@inproceedings{stammbach-neumann-2019-team,
    title = "Team {DOMLIN}: Exploiting Evidence Enhancement for the {FEVER} Shared Task",
    author = "Stammbach, Dominik  and
      Neumann, Guenter",
    editor = "Thorne, James  and
      Vlachos, Andreas  and
      Cocarascu, Oana  and
      Christodoulopoulos, Christos  and
      Mittal, Arpit",
    booktitle = "Proceedings of the Second Workshop on Fact Extraction and VERification (FEVER)",
    month = nov,
    year = "2019",
    address = "Hong Kong, China",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/iwcs-25-ingestion/D19-6616/",
    doi = "10.18653/v1/D19-6616",
    pages = "105--109",
    abstract = "This paper contains our system description for the second Fact Extraction and VERification (FEVER) challenge. We propose a two-staged sentence selection strategy to account for examples in the dataset where evidence is not only conditioned on the claim, but also on previously retrieved evidence. We use a publicly available document retrieval module and have fine-tuned BERT checkpoints for sentence se- lection and as the entailment classifier. We report a FEVER score of 68.46{\%} on the blind testset."
}