Chinese short text subjective question automatic scoring method and system using LSTM neural network
A neural network and automatic scoring technology, applied in special data processing applications, instruments, electrical digital data processing, etc., can solve the problems of ambiguous scoring standards, inapplicability, and no standard answers to questions, and achieve the effect of reducing dependence
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[0055] In order to make the objectives, technical solutions and advantages of the present invention clearer, the present invention will be further described in detail below with reference to specific embodiments and accompanying drawings.
[0056] The present invention proposes an automatic scoring method for Chinese short text subjective questions using LSTM neural network, including Chinese word segmentation, constructing answer text mapping matrix, extracting semantic feature vector, text classification and scoring, etc. figure 2 shown. The specific steps are as follows:
[0057] Step 1, perform word segmentation on the input answer text, and obtain the word sequence S={w 1 ,w 2 ,…,w N}, where w i is the ith word in the word sequence S, i=1,2,...,N, where N is the number of words contained in the word sequence S.
[0058] Step 2, use the pre-trained word vector set to initialize the dictionary Dict, and introduce auxiliary information related to subjective question sc...
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