Case public opinion abstract generation method based on case element sentence association graph convolution
A technology of associating graphs and sentences, applied in neural learning methods, biological neural network models, instruments, etc., to achieve the effect of improving effectiveness
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[0067] Embodiment 1: as Figure 1-2 As shown, the method for generating case public opinion summaries based on the convolution of case element sentence association graphs includes:
[0068] Step1, the collection of experimental corpus and the construction of data sets;
[0069] Using a crawler based on the Scrapy framework, using the case name as a keyword to collect case public opinion news from Baidu News (https: / / news.baidu.com / ), Sogou News (https: / / news.sogou.com / ), etc., after Data cleaning and manual screening to obtain news texts related to different cases. The experimental training corpus collected 500 news documents related to 50 cases, including 13133 sentences. The 10 news texts related to each case constitute a text cluster, manually write a reference abstract for each text cluster, use the ROUGE value method to calculate the score of each sentence, and divide the sentences into 10 categories from 0 to 9 according to the score. training label. The training set...
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