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Information Extraction from Free-Text Business Documents
Abstract
One of the most difficult aspects of using search technology is the process of getting information in shape for searching. The objective of this paper is an investigation of the applicability of information extraction techniques in real-world business applications dealing with textual data since business relevant data is mainly transmitted through free-text documents. Further, we demonstrate an enormous indexing potential of lightweight linguistic text processing techniques applied in information extraction systems in other closely related fields of information technology which concern processing vast amounts of textual data.
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