Abstract
In this paper we present some lessons learned from building viz s la, the keyword search and topic classification system used on the largest Hungarian portal, [ origo.hu]. Based on a simple statistical language model, and the large-scale supporting evidence from vizsla, we argue that in topic classification only positive evidence matters.
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CITATION STYLE
APA
Kornai, A., Krellenstein, M., Mulligan, M., Twomey, D., Veress, F., & Wysoker, A. (2003). Classifying the hungarian web. In 10th Conference of the European Chapter of the Association for Computational Linguistics, EACL 2003 (pp. 203–210). Association for Computational Linguistics (ACL). https://doi.org/10.3115/1067807.1067835
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