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Proposal for an Interactive Environment for Information Extraction

Author
Cardie, Claire; Pierce, David
Abstract
Information extraction systems have been successfully deployed for domains ranging from terrorist activities to medical records. However, building these systems remains costly for users who lack annotated training corpora or knowledge engineering expertise. This paper proposes a framework for an interactive information extraction environment in which the user trains the system by example and by feedback about performance. If successful, this will be the first system that allows end-users to create information extraction systems without the aid of computational linguists and NLP system designers.
Date Issued
1998-09Publisher
Cornell University
Subject
computer science; technical report
Previously Published As
http://techreports.library.cornell.edu:8081/Dienst/UI/1.0/Display/cul.cs/TR98-1702
Type
technical report