@inproceedings{lu-etal-2020-iscas,
    title = "{ISCAS} at {S}em{E}val-2020 Task 5: Pre-trained Transformers for Counterfactual Statement Modeling",
    author = "Lu, Yaojie  and
      Li, Annan  and
      Lin, Hongyu  and
      Han, Xianpei  and
      Sun, Le",
    editor = "Herbelot, Aurelie  and
      Zhu, Xiaodan  and
      Palmer, Alexis  and
      Schneider, Nathan  and
      May, Jonathan  and
      Shutova, Ekaterina",
    booktitle = "Proceedings of the Fourteenth Workshop on Semantic Evaluation",
    month = dec,
    year = "2020",
    address = "Barcelona (online)",
    publisher = "International Committee for Computational Linguistics",
    url = "https://preview.aclanthology.org/ingest-emnlp/2020.semeval-1.85/",
    doi = "10.18653/v1/2020.semeval-1.85",
    pages = "658--663",
    abstract = "ISCAS participated in two subtasks of SemEval 2020 Task 5: detecting counterfactual statements and detecting antecedent and consequence. This paper describes our system which is based on pretrained transformers. For the first subtask, we train several transformer-based classifiers for detecting counterfactual statements. For the second subtask, we formulate antecedent and consequence extraction as a query-based question answering problem. The two subsystems both achieved third place in the evaluation. Our system is openly released at \url{https://github.com/casnlu/ISCASSemEval2020Task5}."
}