A Glance of Natural Language Understanding System
These years, there has been widely speared applications employing Natural Language Processing (NLP) technologies, including question answering system, Machine reading comprehension, summarization, dialogue, autocompletion, machine translation, etc.
From 2013 to 2014, the applications of various neural network models on NLP have gradually increased, among which the most widely used are: convolutional neural networks (CNN), recurrent neural networks (RNN), and structural recurrent neural networks (SRN). Since the text is ordered, the sequential structure of RNN (recurrent neural network) makes it the