Credit text analysis method, credit object auditing method and credit object auditing device

By matching the semantic template with the letter of credit text, the slots and slot values ​​in the letter of credit text are automatically extracted, which solves the problem of low efficiency of traditional document review and realizes efficient automatic parsing and review of the letter of credit text.

CN114386430AActive Publication Date: 2022-04-22CHINA CONSTRUCTION BANK
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
CHINA CONSTRUCTION BANK
Filing Date
2021-12-27
Publication Date
2022-04-22

AI Technical Summary

Technical Problem

The traditional letter of credit review process requires a lot of labor costs and is inefficient, making it difficult to automatically identify relevant content in the letter of credit text.

Method used

By obtaining the target letter of credit text and the corresponding target semantic template, and using the statement template and upper-level shared level matching, the full-link slots and slot values ​​in the letter of credit text are automatically extracted to realize automatic parsing and review of the letter of credit text.

Benefits of technology

It reduces the labor cost in the letter of credit review process, improves the document review efficiency, can automatically identify relevant content in the letter of credit text, and reduces manual intervention.

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Abstract

The invention discloses a credit text analysis method and a credit object auditing method and device, and relates to the technical field of knowledge maps. A specific embodiment of the method comprises the steps of obtaining a target credit card text, wherein the target credit card text comprises at least one target element; a target semantic template corresponding to the target credit document text is obtained, the target semantic template comprises a statement template and an upper sharing hierarchy of the statement template, the statement template comprises at least one target slot position, and the target slot position corresponds to the target element; obtaining a full-link slot position of the target credit card text according to the statement template and the upper sharing hierarchy; and matching the target semantic template with the target credit text to obtain a target slot value corresponding to the full-link slot position. According to the implementation mode, the slot position and the slot value corresponding to the element in the credit card can be automatically obtained, and the related content in the credit card text can be analyzed.
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