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In Proceedings of the 3rd International Workshop on Pattern Recognition in Information Systems, PARIS'2003, Angers, France, Jean-Marc Gear and Eric Turpin (Eds.), ICES Press, ISBN 972-98816-3-4, pp.
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Numerical field extraction refers to the process of automatically identifying and extracting numerical data from unstructured text or documents.
Numerical field extraction may be required by organizations or individuals who need to extract numeric information from large volumes of textual data for analysis or processing purposes.
The process of filling out numerical field extraction involves using software or algorithms that can recognize and extract numerical data from unstructured text. Specific procedures may vary depending on the software or tools being used.
The purpose of numerical field extraction is to automate the extraction of numerical information from unstructured text, making it easier to analyze and process large volumes of data efficiently.
The specific information that needs to be reported on numerical field extraction will depend on the requirements of the analysis or processing task at hand. It could include data such as quantities, measurements, statistics, or any other numeric values present in the text.
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