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Multimodal Semantic Simulations of Linguistically Underspecified Motion Events ...
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Generating Simulations of Motion Events from Verbal Descriptions ...
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Workset Creation for Scholarly Analysis and Data Capsules (WCSA+DC): Laying the foundations for secure computation with copyrighted data in the HathiTrust Research Center, Phase I
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Temporal Annotation in the Clinical Domain.
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In: Transactions of the Association for Computational Linguistics, vol 2 (2014)
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Computational Models of Language Meaning in Context (Dagstuhl Seminar 13462)
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Computational Models of Language Meaning in Context (Dagstuhl Seminar 13462) ...
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C3: The Compositional Construction of Context. A New, More Effective and Efficient Way to Marshal Inferences from Background Knowledge
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In: DTIC (2014)
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Temporal Annotation in the Clinical Domain
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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. - 2014
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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, “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.
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Keyword:
Article
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URL: http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5657277/
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Natural language annotation for machine learning : [a guide to corpus-building for applications]
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IDS Mannheim
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