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[期刊] Tsinghua Science and Technology
[作者]
Tonglee Chung Bin Xu Yongbin Liu Juanzi Li Chunping Ouyang
Word embedding has drawn a lot of attention due to its usefulness in many NLP tasks. So far a handful of neural-network based word embedding algorithms have been proposed without considering the effects of pronouns in the training corpus. In this paper, w
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