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.
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Kluegl, P., Atzmueller, M., Puppe, F. (2009). Meta-level Information Extraction. In: Mertsching, B., Hund, M., Aziz, Z. (eds) KI 2009: Advances in Artificial Intelligence. KI 2009. Lecture Notes in Computer Science(), vol 5803. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04617-9_30
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DOI: https://doi.org/10.1007/978-3-642-04617-9_30
Publisher Name: Springer, Berlin, Heidelberg
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