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, "the THYME Guidelines to ISO-TimeML (THYME-TimeML)". 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.
In 2014, an extension of ISO-TimeML guidelines was developed to annotate an English corpus of clinical notes, provided by the Mayo clinic, known as Temporal Histories for Your Medical Events (THYME) corpus REF .
Temporal Annotation in the Clinical Domain
Transactions of the Association for Computational Linguistics
Transactions of the Association for Computational Linguistics
Medicine Computer Science