@inproceedings{gonzalez-etal-2018-elirf-upv,
    title = "{EL}i{RF}-{UPV} at {S}em{E}val-2018 Task 10: Capturing Discriminative Attributes with Knowledge Graphs and {W}ikipedia",
    author = "Gonz{\'a}lez, Jos{\'e}-{\'A}ngel  and
      Hurtado, Llu{\'i}s-F.  and
      Segarra, Encarna  and
      Pla, Ferran",
    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/S18-1159/",
    doi = "10.18653/v1/S18-1159",
    pages = "968--971",
    abstract = "This paper describes the participation of ELiRF-UPV team at task 10, Capturing Discriminative Attributes, of SemEval-2018. Our best approach consists of using ConceptNet, Wikipedia and NumberBatch embeddings in order to stablish relationships between concepts and attributes. Furthermore, this system achieves competitive results in the official evaluation."
}