临床领域中的时间标注
Temporal Annotation in the Clinical Domain.
作者信息
Styler William F, Bethard Steven, Finan Sean, Palmer Martha, Pradhan Sameer, de Groen Piet C, Erickson Brad, Miller Timothy, Lin Chen, Savova Guergana, Pustejovsky James
机构信息
Department of Linguistics, University of Colorado at Boulder.
Department of Computer and Information Sciences, University of Alabama at Birmingham.
出版信息
Trans Assoc Comput Linguist. 2014 Apr;2:143-154.
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.
本文讨论了临床叙述中时间信息标注的形式规范要求。我们讨论了用于标注临床笔记语料库（称为THYME语料库）的ISO-TimeML的实现和扩展。为了反映该领域的信息任务和基于大量推理的推理需求，已经制定了新的标注指南，即“ISO-TimeML的THYME指南（THYME-TimeML）”。为了阐明哪些关系值得标注，我们区分了文本中语言派生的和推理派生的时间顺序。我们还将一个表现出色的2013年TempEval系统应用于这个新资源，以衡量系统适应临床领域的难度。该语料库可供社区使用，并已被提议用于2015年语义评估任务。
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