@article{styler-iv-etal-2014-temporal,
    title = "Temporal Annotation in the Clinical Domain",
    author = "Styler IV, William F.  and
      Bethard, Steven  and
      Finan, Sean  and
      Palmer, Martha  and
      Pradhan, Sameer  and
      de Groen, Piet C  and
      Erickson, Brad  and
      Miller, Timothy  and
      Lin, Chen  and
      Savova, Guergana  and
      Pustejovsky, James",
    editor = "Lin, Dekang  and
      Collins, Michael  and
      Lee, Lillian",
    journal = "Transactions of the Association for Computational Linguistics",
    volume = "2",
    year = "2014",
    address = "Cambridge, MA",
    publisher = "MIT Press",
    url = "https://preview.aclanthology.org/ingest_wac_2008/Q14-1012/",
    doi = "10.1162/tacl_a_00172",
    pages = "143--154",
    abstract = "This article discusses the requirements of a formal specification for the annotation of temporal information in clinical narratives. We discuss the implementation and extension of ISO-TimeML for annotating a corpus of clinical notes, known as the THYME corpus. To reflect the information task and the heavily inference-based reasoning demands in the domain, a new annotation guideline has been developed, {\textquotedblleft}the THYME Guidelines to ISO-TimeML (THYME-TimeML){\textquotedblright}. To clarify what relations merit annotation, we distinguish between linguistically-derived and inferentially-derived temporal orderings in the text. We also apply a top performing TempEval 2013 system against this new resource to measure the difficulty of adapting systems to the clinical domain. The corpus is available to the community and has been proposed for use in a SemEval 2015 task."
}