期刊名称：Conference on European Chapter of the Association for Computational Linguistics (EACL)
出版年度：2010
卷号：2010
出版社：ACL Anthology
摘要：Most attempts to train part-of-speech taggers
on a mixture of labeled and unlabeled
data have failed. In this work stacked
learning is used to reduce tagging to a
classification task. This simplifies semisupervised
training considerably. Our
prefered semi-supervised method combines
tri-training (Li and Zhou, 2005) and
disagreement-based co-training. On the
Wall Street Journal, we obtain an error reduction
of 4.2% with SVMTool (Gimenez
and Marquez, 2004).
