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Version vom 15. August 2009, 20:11 Uhr
Enriching the crosslingual link structure of Wikipedia - A classification-based approach
Enriching the crosslingual link structure of Wikipedia - A classification-based approach
Published: 2008
Juni
Buchtitel: Proceedings of the AAAI 2008 Workshop on Wikipedia and Artifical Intelligence
Referierte Veröffentlichung
BibTeX
Kurzfassung
The crosslingual link structure of Wikipedia represents a valuable resource
which can be exploited for crosslingual natural language processing
applications. However, this requires that it has a reasonable coverage and is
furthermore accurate. For the specific language pair German/English that we
consider in our experiments, we show that roughly 50% of the articles
are linked from German to English and only 14% from English to German. These
figures clearly corroborate the need for an approach to automatically induce
new cross-language links, especially in the light of such a dynamically growing
resource such as Wikipedia. In this paper we present a classification-based
approach with the goal of infering new cross-language links. Our experiments
show that this approach has a recall of 70% with a precision of 94% for the
task of learning cross-language links on a test dataset.
Download: Media:2008_1758_Sorg_Enriching_the_c_1.pdf
Maschinelles Lernen, Knowledge Discovery, Data Mining, Künstliche Intelligenz