Meta-level Information Extraction

被引：0

作者：

Kluegl, Peter ^{[1
]}

Atzmueller, Martin ^{[1
]}

Puppe, Frank ^{[1
]}

机构：

[1] Univ Wurzburg, Dept Comp Sci 6, D-97074 Wurzburg, Germany

来源：

KI 2009: ADVANCES IN ARTIFICIAL INTELLIGENCE, PROCEEDINGS | 2009年 / 5803卷

关键词：

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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 flow the proposed method improves the accuracy of the applied information extraction technique.

引用

页码：233 / 240

页数：8

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