@inproceedings{tabassum-etal-2020-wnut,
    title = "{WNUT}-2020 Task 1 Overview: Extracting Entities and Relations from Wet Lab Protocols",
    author = "Tabassum, Jeniya  and
      Xu, Wei  and
      Ritter, Alan",
    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/fix-sig-urls/2020.wnut-1.33/",
    doi = "10.18653/v1/2020.wnut-1.33",
    pages = "260--267",
    abstract = "This paper presents the results of the wet labinformation extraction task at WNUT 2020.This task consisted of two sub tasks- (1) anamed entity recognition task with 13 partic-ipants; and (2) a relation extraction task with2 participants. We outline the task, data an-notation process, corpus statistics, and providea high-level overview of the participating sys-tems for each sub task."
}