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Erschienen in:
2010 | OriginalPaper | Buchkapitel
A Self-Supervised Approach for Extraction of Attribute-Value Pairs from Wikipedia Articles
verfasst von : Wladmir C. Brandão, Edleno S. Moura, Altigran S. Silva, Nivio Ziviani
Erschienen in: String Processing and Information Retrieval
Verlag: Springer Berlin Heidelberg
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Wikipedia is the largest encyclopedia on the web and has been widely used as a reliable source of information. Researchers have been extracting entities, relationships and attribute-value pairs from Wikipedia and using them in information retrieval tasks. In this paper we present a self-supervised approach for autonomously extract attribute-value pairs from Wikipedia articles. We apply our method to the Wikipedia automatic infobox generation problem and outperformed a method presented in the literature by 21.92% in precision, 26.86% in recall and 24.29% in F1.