NITE: A Neural Inductive Teaching Framework for Domain Specific NER

EMNLP 2017 Siliang TangNing ZhangJinjiang ZhangFei WuYueting Zhuang

In domain-specific NER, due to insufficient labeled training data, deep models usually fail to behave normally. In this paper, we proposed a novel Neural Inductive TEaching framework (NITE) to transfer knowledge from existing domain-specific NER models into an arbitrary deep neural network in a teacher-student training manner... (read more)

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