Extracting Numerical Information about Corn Composition from Texts (Invited Paper)
Nicholas Pippenger, Richard S. Segall, Daniel Berleant, Kellye A. Eversole, Robert A. Mustell, Deborah Vicuna-Requesens, Elizabeth E. Hood
The objective of this paper is to evaluate
information quality processes and text mining
methods that can be used to improve the
extraction of numerical information from
scientific articles about the commodity
agricultural crop corn. Specifically, this paper
focuses on extraction of crude protein content of
corn, an important special case illuminating the
general problem. Full Text
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