@inproceedings{mendbayar-aono-2020-kde,
    title = "{KDE} {S}ense{F}orce at {S}em{E}val-2020 Task 4: Exploiting {BERT} for Commonsense Validation and Explanation",
    author = "Mendbayar, Khanddorj  and
      Aono, Masaki",
    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/moar-dois/2020.semeval-1.68/",
    doi = "10.18653/v1/2020.semeval-1.68",
    pages = "551--555",
    abstract = "Using a natural language understanding system for commonsense comprehension is getting increasing attention from researchers. Current multi-purpose state-of-the-art models suffer on commonsense validation and explanation tasks. We have adopted one of the state-of-the-art models and proposing a method to boost the performance of the model in commonsense related tasks."
}