Extracting Numerical Information about Corn Composition from Texts (Invited Paper)

Abstract

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.

Keywords

• text mining
• Corn
• Filtering