@inproceedings{osama-etal-2019-question,
    title = "Question Answering Using Hierarchical Attention on Top of {BERT} Features",
    author = "Osama, Reham  and
      El-Makky, Nagwa  and
      Torki, Marwan",
    editor = "Fisch, Adam  and
      Talmor, Alon  and
      Jia, Robin  and
      Seo, Minjoon  and
      Choi, Eunsol  and
      Chen, Danqi",
    booktitle = "Proceedings of the 2nd Workshop on Machine Reading for Question Answering",
    month = nov,
    year = "2019",
    address = "Hong Kong, China",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/add-emnlp-2024-awards/D19-5825/",
    doi = "10.18653/v1/D19-5825",
    pages = "191--195",
    abstract = "The model submitted works as follows. When supplied a question and a passage it makes use of the BERT embedding along with the hierarchical attention model which consists of 2 parts, the co-attention and the self-attention, to locate a continuous span of the passage that is the answer to the question."
}