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In this study, we present an information extraction system to extract related information on heart disease risk factors from unstructured clinical notes using a hybrid approach.
The authors have designed an automated extraction system to query their PACS archive and parse CT examinations to extract the dose information stored in each dose sheet.
In [97] a multilingual methodology for adapting an event extraction system to new languages was described.
A continuous stirred tank bioreactor (CSTBR) has been developed by incorporating an innovative gas supply and effluent extraction system to ferment syngas into ethanol.
In an example setting, we integrated their data into our federation layer and developed an interactive knowledge extraction system to help with the analysis of these large data sets.
In this paper we present a generic surface texture and microstructure extraction system to deal with these problems, under the assumption that an initial 3-D geometric site model is given and sufficient camera and light source information is known.
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In this work we describe a probabilistic framework that allows for the output of multiple information extraction systems to be combined in a systematic way.
Consequently, this study attempts to develop a simplified continuous stirred tank bioreactor (CSTBR) employing an innovative gas supply and effluent extraction systems to enhance gas liquid mass transfer, reduce inhibitory stress, and improve ethanol productivity.
We present the first evaluation of the generalization performance of event extraction systems to this scale and show that despite its computational complexity, event extraction from the entire PubMed is feasible.
We further analyze the performance of the key components of the system, thus providing the first evaluation of the ability of state-of-the-art event extraction systems to generalize to PubMed scale.
We applied the two event extraction systems to 3090 titles and abstracts and 49 full-text articles associated with HHPID, after these had been tagged by the HIV-1/human tailored version of BANNER.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com