In the past year, two new models for naming entity recognition have been proposed, namely: Leveraging Linguistic Structures for Named Entity Recognition with Bidirectional Recursive Neural Networks; A FOFE-based Local Detection Approach for Named Entity Recognition and Mention Detection. In this article, we design a co-decoding scheme that can combine the outputs (views) of the two systems to produce an output that is more accurate than the outputs of individual systems. The proposed method has been evaluated in ontonotes 5.0. Experiments show this method surpasses current state-of-the-art on OntoNotes 5.0.