@inproceedings{remijnse-minnema-2020-towards,
    title = "Towards Reference-Aware {F}rame{N}et Annotation",
    author = "Remijnse, Levi  and
      Minnema, Gosse",
    editor = "Torrent, Tiago T.  and
      Baker, Collin F.  and
      Czulo, Oliver  and
      Ohara, Kyoko  and
      Petruck, Miriam R. L.",
    booktitle = "Proceedings of the International FrameNet Workshop 2020: Towards a Global, Multilingual FrameNet",
    month = may,
    year = "2020",
    address = "Marseille, France",
    publisher = "European Language Resources Association",
    url = "https://preview.aclanthology.org/fix-sig-urls/2020.framenet-1.3/",
    pages = "13--22",
    language = "eng",
    ISBN = "979-10-95546-58-0",
    abstract = "In this paper, we introduce the task of using FrameNet to link structured information about real-world events to the conceptual frames used in texts describing these events. We show that frames made relevant by the knowledge of the real-world event can be captured by complementing standard lexicon-driven FrameNet annotations with frame annotations derived through pragmatic inference. We propose a two-layered annotation scheme with a `strict' FrameNet-compatible lexical layer and a `loose' layer capturing frames that are inferred from referential data."
}