@inproceedings{jeblee-etal-2018-multi,
    title = "Multi-task learning for interpretable cause of death classification using key phrase prediction",
    author = "Jeblee, Serena  and
      Gomes, Mireille  and
      Hirst, Graeme",
    editor = "Demner-Fushman, Dina  and
      Cohen, Kevin Bretonnel  and
      Ananiadou, Sophia  and
      Tsujii, Junichi",
    booktitle = "Proceedings of the {B}io{NLP} 2018 workshop",
    month = jul,
    year = "2018",
    address = "Melbourne, Australia",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/iwcs-25-ingestion/W18-2302/",
    doi = "10.18653/v1/W18-2302",
    pages = "12--17",
    abstract = "We introduce a multi-task learning model for cause-of-death classification of verbal autopsy narratives that jointly learns to output interpretable key phrases. Adding these key phrases outperforms the baseline model and topic modeling features."
}