Abstract
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. © 2010 Springer-Verlag.
Cite
CITATION STYLE
Brandão, W. C., Moura, E. S., Silva, A. S., & Ziviani, N. (2010). A self-supervised approach for extraction of attribute-value pairs from wikipedia articles. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6393 LNCS, pp. 279–289). https://doi.org/10.1007/978-3-642-16321-0_29
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