Meta-level Information Extraction

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.

• Type: Conference
• Year: 2009
• Where: KI
• Authors: Peter Klügl, Martin Atzmueller, Frank Puppe
• Keywords: Artificial Intelligence, Common Ie Process, Information Extraction Technique, KI 2009, Meta-level Information Extraction