@inproceedings{speer-lowry-duda-2018-luminoso,
    title = "{L}uminoso at {S}em{E}val-2018 Task 10: Distinguishing Attributes Using Text Corpora and Relational Knowledge",
    author = "Speer, Robyn  and
      Lowry-Duda, Joanna",
    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/jlcl-multiple-ingestion/S18-1162/",
    doi = "10.18653/v1/S18-1162",
    pages = "985--989",
    abstract = "Luminoso participated in the SemEval 2018 task on {\textquotedblleft}Capturing Discriminative Attributes{\textquotedblright} with a system based on ConceptNet, an open knowledge graph focused on general knowledge. In this paper, we describe how we trained a linear classifier on a small number of semantically-informed features to achieve an F1 score of 0.7368 on the task, close to the task`s high score of 0.75."
}