@inproceedings{phandi-etal-2018-semeval,
    title = "{S}em{E}val-2018 Task 8: Semantic Extraction from {C}ybersec{U}rity {RE}ports using Natural Language Processing ({S}ecure{NLP})",
    author = "Phandi, Peter  and
      Silva, Amila  and
      Lu, Wei",
    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/S18-1113/",
    doi = "10.18653/v1/S18-1113",
    pages = "697--706",
    abstract = "This paper describes the SemEval 2018 shared task on semantic extraction from cybersecurity reports, which is introduced for the first time as a shared task on SemEval. This task comprises four SubTasks done incrementally to predict the characteristics of a specific malware using cybersecurity reports. To the best of our knowledge, we introduce the world`s largest publicly available dataset of annotated malware reports in this task. This task received in total 18 submissions from 9 participating teams."
}