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Semi-supervised active learning for sequence labeling

ACL/IJCNLP, (2009): 1039-1047

Cited: 66|Views44
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Abstract

While Active Learning (AL) has already been shown to markedly reduce the annotation efforts for many sequence labeling tasks compared to random selection, AL remains unconcerned about the internal structure of the selected sequences (typically, sentences). We propose a semi-supervised AL approach for sequence labeling where only highly un...More

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