A corpus of clinical narratives annotated with temporal information
Lucian Galescu, Nate Blaylock · 2012
Clinical reports often include descriptions of events in the patient's medical history, as well as explicit or implicit temporal information about these events. We are working towards applying deep Natural Language Processing tools towards understanding such narratives. This requires both the extraction and classification of the relevant events, and the placing of those events in time, or at least in relation to one another. Although several corpora of news data exist that have been annotated using the TimeML schema, similar corpora of clinical reports are not readily available.