A New Recurrent Neural CRF for Learning Non-linear Edge Features

14 Nov 2016 Shuming Ma Xu sun

Conditional Random Field (CRF) and recurrent neural models have achieved success in structured prediction. More recently, there is a marriage of CRF and recurrent neural models, so that we can gain from both non-linear dense features and globally normalized CRF objective... (read more)

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