Deep learning for natural language processing: advantages and challenges
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摘要:
INTRODUCTION
Deep learning refers to machine leaming technologies for learning and utilizing ‘deep' artificial neural networks,such as deep neural networks (DNN),convolutional neural networks (CNN)and recurrent neural networks (RNN).Recently,deep learning has been successfully applied to natural language processing and significant progress has been made.This paper summarizes the recent advancement of deep learning for natural language processing and discusses its advantages and challenges.