@inproceedings{kulmizev-etal-2018-discriminator,
    title = "Discriminator at {S}em{E}val-2018 Task 10: Minimally Supervised Discrimination",
    author = "Kulmizev, Artur  and
      Abdou, Mostafa  and
      Ravishankar, Vinit  and
      Nissim, Malvina",
    editor = "Apidianaki, Marianna  and
      Mohammad, Saif M.  and
      May, Jonathan  and
      Shutova, Ekaterina  and
      Bethard, Steven  and
      Carpuat, Marine",
    booktitle = "Proceedings of the 12th International Workshop on Semantic Evaluation",
    month = jun,
    year = "2018",
    address = "New Orleans, Louisiana",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/ingest_wac_2008/S18-1167/",
    doi = "10.18653/v1/S18-1167",
    pages = "1008--1012",
    abstract = "We participated to the SemEval-2018 shared task on capturing discriminative attributes (Task 10) with a simple system that ranked 8th amongst the 26 teams that took part in the evaluation. Our final score was 0.67, which is competitive with the winning score of 0.75, particularly given that our system is a zero-shot system that requires no training and minimal parameter optimisation. In addition to describing the submitted system, and discussing the implications of the relative success of such a system on this task, we also report on other, more complex models we experimented with."
}