@inproceedings{miller-vosoughi-2020-big,
    title = "Big Green at {WNUT} 2020 Shared Task-1: Relation Extraction as Contextualized Sequence Classification",
    author = "Miller, Chris  and
      Vosoughi, Soroush",
    editor = "Xu, Wei  and
      Ritter, Alan  and
      Baldwin, Tim  and
      Rahimi, Afshin",
    booktitle = "Proceedings of the Sixth Workshop on Noisy User-generated Text (W-NUT 2020)",
    month = nov,
    year = "2020",
    address = "Online",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/ingest-emnlp/2020.wnut-1.36/",
    doi = "10.18653/v1/2020.wnut-1.36",
    pages = "281--285",
    abstract = "Relation and event extraction is an important task in natural language processing. We introduce a system which uses contextualized knowledge graph completion to classify relations and events between known entities in a noisy text environment. We report results which show that our system is able to effectively extract relations and events from a dataset of wet lab protocols."
}