@inproceedings{singh-etal-2020-dsc,
    title = "{DSC} {IIT}-{ISM} at {S}em{E}val-2020 Task 6: Boosting {BERT} with Dependencies for Definition Extraction",
    author = "Singh, Aadarsh  and
      Kumar, Priyanshu  and
      Sinha, Aman",
    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/fix-sig-urls/2020.semeval-1.93/",
    doi = "10.18653/v1/2020.semeval-1.93",
    pages = "710--716",
    abstract = "We explore the performance of Bidirectional Encoder Representations from Transformers (BERT) at definition extraction. We further propose a joint model of BERT and Text Level Graph Convolutional Network so as to incorporate dependencies into the model. Our proposed model produces better results than BERT and achieves comparable results to BERT with fine tuned language model in DeftEval (Task 6 of SemEval 2020), a shared task of classifying whether a sentence contains a definition or not (Subtask 1)."
}