[ICLR2018]Deep Active Learning for Named Entity Recognition
目前神经网络在各领域很多任务上都取得了瞩目的成就，但是最大的缺陷就是需要大量的标注语料，成本较高，于是本文采用active learning 挑选一部分包含了更多信息的示例用于训练，得到了较好的性能． Data Representation: 每个句子的句首和句尾都加上特殊符号, 句首加[BOS], 句尾加[EOS] 将句长相差不多的句子聚在一起，并pad到相同的长度，选用符号[PAD]补齐 标注
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相关文章
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