@inproceedings{kannan-santhi-ponnusamy-2020-tukapo,
    title = {{T}{\"u}{K}a{P}o at {S}em{E}val-2020 Task 6: Def(n)tly Not {BERT}: Definition Extraction Using pre-{BERT} Methods in a post-{BERT} World},
    author = "Kannan, Madeeswaran  and
      Santhi Ponnusamy, Haemanth",
    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-1.95/",
    doi = "10.18653/v1/2020.semeval-1.95",
    pages = "724--729",
    abstract = {We describe our system (T{\"u}KaPo) submitted for Task 6: DeftEval, at SemEval 2020. We developed a hybrid approach that combined existing CNN and RNN methods and investigated the impact of purely-syntactic and semantic features on the task of definition extraction. Our final model achieved a F1-score of 0.6851 in subtask 1, i.e, sentence classification.}
}