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Prediction system and method based on multi-scale feature fusion and gating unit

A multi-scale feature and gating unit technology, applied in prediction, neural learning methods, special data processing applications, etc.

Active Publication Date: 2020-08-25
XI AN JIAOTONG UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

But for the judicial field, although there are significant differences in each case, there are some common features

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  • Prediction system and method based on multi-scale feature fusion and gating unit
  • Prediction system and method based on multi-scale feature fusion and gating unit
  • Prediction system and method based on multi-scale feature fusion and gating unit

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Embodiment Construction

[0098] In order to enable those skilled in the art to better understand the solutions of the present invention, the following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only The embodiments are a part of the present invention, not all embodiments, and are not intended to limit the scope of the present invention. Also, in the following description, descriptions of well-known structures and techniques are omitted to avoid unnecessarily obscuring the concepts disclosed in the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0099] Various structural schematic diagrams according to the disclosed embodiments of the present in...

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Abstract

The invention discloses a prediction system and method based on multi-scale feature fusion and a gating unit. The organized multi-scale embedding and a special gating unit are carried out through casedescription, legal provision information and legal provision name information. The defects and deficiencies of case description information analysis in legal judgment prediction in the prior art areovercome. According to the method, multiple prediction contents can be effectively and skillfully combined, only the topological sequence of the prediction contents needs to be defined, Meanwhile, theprediction result and prediction basis information of each step are taken out, so that the interpretability of the judicial field is enhanced; according to the method, the attribute extraction function is used for effectively improving crime feature prediction performance and universality while noise is eliminated, so that key points in case description can be better marked.

Description

【Technical field】 [0001] The invention belongs to the technical field of auxiliary decision prediction, and relates to a prediction system and method based on multi-scale feature fusion and gating unit. 【Background technique】 [0002] At present, the workload of judicial workers is huge. In fact, to conclude a case, a judicial worker needs to consult a large amount of relevant materials, accumulate long-term work experience, after careful consideration, and complete text tasks such as writing the final judgment in a short period of time. This is a great challenge for judicial workers, both in terms of professional ability and physical fitness. If artificial intelligence methods based on deep learning are applied to deal with and solve these cases, it can save most of the manpower and material resources, greatly improve its work efficiency and reduce the pressure. Related studies have shown that smart applications can reduce desk work by more than 30%. In the actual invest...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06Q50/18G06F40/126G06F40/211G06F40/284G06F40/289G06F16/35G06N3/04G06N3/08
CPCG06Q10/04G06Q50/18G06F40/126G06F40/211G06F40/284G06F40/289G06F16/355G06N3/049G06N3/08Y02D10/00
Inventor 饶元李薛王婉臻吴连伟
Owner XI AN JIAOTONG UNIV
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