Linda M. Schmandt

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While complete understanding of arbitrary input text remains in the future, it is currently possible to construct natural language processing systems that provide a partial understanding of text with limited accuracy. Moreover, such systems can provide cost-effective solutions to commercially-significant business problems. This paper describes one such(More)
Recent advances in genomics, proteomics, and the increasing demands for biomarker validation studies have catalyzed changes in the landscape of cancer research, fueling the development of tissue banks for translational research. A result of this transformation is the need for sufficient quantities of clinically annotated and well-characterized biospecimens(More)
Advances in translational research have led to the need for well characterized biospecimens for research. The National Mesothelioma Virtual Bank is an initiative which collects annotated datasets relevant to human mesothelioma to develop an enterprising biospecimen resource to fulfill researchers' need. The National Mesothelioma Virtual Bank architecture is(More)
The Controlled English we have developed for Caterpillar is designed to reduce translation costs by facilitating machine translation. It is also preferred by English-speaking readers of the resulting documents. The approach to machine translation and the resulting design of the Controlled English were optimized to Caterpillar's environment and requirements,(More)
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