Method for Generating Summary of Judgment Documents Based on Trial Logic Steps.

Judicial summary oriented to judgment documents is the key technology to improve the analytical ability of judgment documents. As the carrier of the trial activities, the judgment documents accurately present the trial logic of the case. However, the current abstract methods only focus on the serialization information of the judgment documents, ignore the logical structure, and can not effectively solve the problems of too long texts and redundant information. A judgment document summary generation method based on the trial logic steps is proposed. The method of "extraction + generation" is adopted. The extraction part uses the multi-label classification method to extract four sentence sets of "type, claim, fact and result" according to the logic steps of the people 's court. The generation part gets the summary from the fine-tuned T5-PEGASUS model. And the input text of the "fact" part is denoised by using the maximum similarity matching algorithm based on internal knowledge, which further improves the summary effect. The experimental results show that, compared with the mainstream pointer-generated network summary model, the proposed method improves the F1 index of ROUGE-1, ROUGE-2 and ROUGE-L by 17.99 percentage points, 21.24 percentage points and 21.86 percentage points, respectively. This shows that introducing logical structure into the judicial summarization can improve the performance of the task. [ABSTRACT FROM AUTHOR]