A method and apparatus for intelligent report processing

By using a cascaded architecture that integrates multi-source heterogeneous data, the problem of poor quality of intelligent reports in government information processing systems has been solved, enabling the generation of high-quality, verifiable, and auditable intelligent reports.

CN122113859APending Publication Date: 2026-05-29CHINA TELECOM DIGITAL TECHNOLOGY CO LTD
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Patent Information

Application Number
CN202610124098.4
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2026-01-28
Publication Date
2026-05-29

AI Technical Summary

Technical Problem

In existing technologies, intelligent reports generated by government information processing systems rely on a single modal data source, resulting in poor report quality, low accuracy, insufficient coverage, and a lack of consistency and auditability.

Method used

By adopting a cascaded architecture that integrates multi-source heterogeneous data, and through precise extraction of small models and constrained generation of large models, hierarchical semantic parsing and structured expression of the request elements are achieved, generating well-organized, traceable, and consistent intelligent reports.

Benefits of technology

It improves the quality of intelligent report generation, realizes deep integration of multi-source heterogeneous data and high-quality report generation, ensures the verifiability and auditability of reports, and enhances the reliability of output results and user trust.

✦ Generated by Eureka AI based on patent content.

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Abstract

The application provides a method and device for intelligent report processing, applied to the technical field of Internet, and the method comprises the following steps: acquiring multi-source heterogeneous data of a government affair information processing system; performing unified representation and alignment on the multi-source heterogeneous data to obtain a unified semantic vector, and performing semantic extraction on the multi-source heterogeneous data to obtain a structured semantic argument vector; wherein the structured semantic argument vector is associated with elements corresponding to a plurality of preset semantic argument types; splicing the unified semantic vector and the structured semantic argument vector, and performing clustering analysis on the spliced vector to obtain clustering information; and generating an intelligent report according to the structured semantic argument vector and the clustering information. Through the embodiment of the application, the multi-source heterogeneous data is used to generate an intelligent report, and the quality of generating an intelligent report in the government affair information processing system is improved.
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