Multi-label Document Classification in Czech
作者： Michal Hrala , Pavel Král
DOI: 10.1007/978-3-642-40585-3_44
关键词:
摘要: This paper deals with multi-label automatic document classification in the context of a real application for Czech news agency. The main goal this work is to compare and evaluate three most promising approaches on language. We show that simple method based meta-classifier proposes by Zhu at al. outperforms significantly other approaches. error rate improvement about 13%. corpus available research purposes free which another contribution work.
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sci-hub.st 参考文章(16)
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