Data Noising as Smoothing in Neural Network Language Models

7 Mar 2017Ziang XieSida I. WangJiwei LiDaniel LévyAiming NieDan JurafskyAndrew Y. Ng

Data noising is an effective technique for regularizing neural network models. While noising is widely adopted in application domains such as vision and speech, commonly used noising primitives have not been developed for discrete sequence-level settings such as language modeling... (read more)

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