@inproceedings{liu-etal-2020-lmve,
    title = "{LMVE} at {S}em{E}val-2020 Task 4: Commonsense Validation and Explanation Using Pretraining Language Model",
    author = "Liu, Shilei  and
      Guo, Yu  and
      Li, BoChao  and
      Ren, Feiliang",
    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-2025-COMPUTEL/2020.semeval-1.70/",
    doi = "10.18653/v1/2020.semeval-1.70",
    pages = "562--568",
    abstract = "This paper introduces our system for commonsense validation and explanation. For Sen-Making task, we use a novel pretraining language model based architecture to pick out one of the two given statements that is againstcommon sense. For Explanation task, we use a hint sentence mechanism to improve the performance greatly. In addition, we propose a subtask level transfer learning to share information between subtasks."
}