Shang Li1, Hongli Zhang1, *, Lin Ye1, Shen Su2, Xiaoding Guo1, Haining Yu1, 3, Binxing Fang1
CMC-Computers, Materials & Continua, Vol.62, No.3, pp. 1217-1231, 2020, DOI:10.32604/cmc.2020.06787
Abstract The task of prison term prediction is to predict the term of penalty based on
textual fact description for a certain type of criminal case. Recent advances in deep
learning frameworks inspire us to propose a two-step method to address this problem. To
obtain a better understanding and more specific representation of the legal texts, we
summarize a judgment model according to relevant law articles and then apply it in the
extraction of case feature from judgment documents. By formalizing prison term
prediction as a regression problem, we adopt the linear regression model and the neural
network model to train… More >
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