Abstract
This paper contains a description of experiments for the 2008 INEX XML-mining track. Our goal for the XML-mining track is to explore whether we can use link information to improve classification accuracy. Our approach is to propagate category probabilities over linked pages. We find that using link information leads to marginal improvements over a baseline that uses a Naive Bayes model. For the initially misclassified pages, link information is either not available or contains too much noise.
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Kaptein, R., Kamps, J. (2009). Using Links to Classify Wikipedia Pages. In: Geva, S., Kamps, J., Trotman, A. (eds) Advances in Focused Retrieval. INEX 2008. Lecture Notes in Computer Science, vol 5631. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-03761-0_44
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DOI: https://doi.org/10.1007/978-3-642-03761-0_44
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-03760-3
Online ISBN: 978-3-642-03761-0
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