Meta-level information extraction

Authors:
Peter Kluegl;Martin Atzmueller;Frank Puppe
Affiliations:
University of Würzburg, Department of Computer Science VI, Würzburg, Germany;University of Würzburg, Department of Computer Science VI, Würzburg, Germany;University of Würzburg, Department of Computer Science VI, Würzburg, Germany
Venue:
KI'09 Proceedings of the 32nd annual German conference on Advances in artificial intelligence
Year:
2009

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Abstract

This paper presents a novel approach for meta-level information extraction (IE). The common IE process model is extended by utilizing transfer knowledge and meta-features that are created according to already extracted information. We present two real-world case studies demonstrating the applicability and benefit of the approach and directly show how the proposed method improves the accuracy of the applied information extraction technique.