Information extraction from free-text business documents

Authors:
Witold Abramowicz;Jakub Piskorski
Affiliations:
The Poznan University of Economics, Poland;German Research Center for Artificial Intelligence in Saarbruecken, Germany
Venue:
Effective databases for text & document management
Year:
2003

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Abstract

The objective of this chapter 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. In particular, we give an overview of the information extraction task, designing information extraction systems and some examples of existing information extraction systems applied in the financial, insurance and legal domains. Furthermore, we demonstrate the enormous indexing potential of lightweight linguistic text processing techniques applied in information extraction systems and other closely related fields of information technology which concern processing vast amounts of textual data.