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In this paper, we present a learning method using multiple stacking for named entity recognition. In order to take into account the tags of the surrounding words, we propose a method which employs stacked learners using the tags predicted by the lower level learners. We have applied this approach to the CoNLL-2002 shared task to improve a base system.
Tsukamoto et al. (Tue,) studied this question.
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