@inproceedings{onofrei-etal-2018-apollo,
    title = "{A}pollo at {S}em{E}val-2018 Task 9: Detecting Hypernymy Relations Using Syntactic Dependencies",
    author = "Onofrei, Mihaela  and
      Hulub, Ionuț  and
      Trandab{\u{a}}ț, Diana  and
      G{\^i}fu, Daniela",
    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/add-emnlp-2024-awards/S18-1146/",
    doi = "10.18653/v1/S18-1146",
    pages = "898--902",
    abstract = "This paper presents the participation of Apollo`s team in the SemEval-2018 Task 9 {\textquotedblleft}Hypernym Discovery{\textquotedblright}, Subtask 1: {\textquotedblleft}General-Purpose Hypernym Discovery{\textquotedblright}, which tries to produce a ranked list of hypernyms for a specific term. We propose a novel approach for automatic extraction of hypernymy relations from a corpus by using dependency patterns. We estimated that the application of these patterns leads to a higher score than using the traditional lexical patterns."
}