文献处理方法、装置、设备、存储介质和程序产品

By using a segmentation model and an extraction model in tandem, a high-quality summary of scientific literature is generated, which solves the problems of difficulty and inefficiency in understanding scientific literature and achieves fast and accurate literature comprehension.

CN121636704BActive Publication Date: 2026-07-17IFLYTEK CO LTD

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
IFLYTEK CO LTD
Filing Date
2026-02-04
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

Scientific research literature is difficult to understand and inefficient, especially for undergraduate and graduate students, as well as researchers in enterprises, institutions, and research organizations. Current technologies are insufficient for quickly and accurately understanding the core content of the literature.

Method used

By employing a combination of segmentation and extraction models, high-quality literature summaries, including abstracts, methods, and conclusions, are generated using training samples and guide words. Guide words are generated using a large language model and guide word templates, reducing the difficulty of comprehension and improving efficiency.

Benefits of technology

It enables the rapid generation of accurate literature summaries, reduces the difficulty of understanding scientific literature, improves the efficiency of understanding, and is applicable to scientific literature in different fields and of different types, reducing the impact of fragmentation.

✦ Generated by Eureka AI based on patent content.

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Abstract

本发明提供一种文献处理方法、装置、设备、存储介质和程序产品,属于数据处理技术领域,文献处理方法包括:获取待处理文献和第一领域分类;基于第一领域分类确定第一引导词;将第一引导词和待处理文献输入至分段模型,得到分段模型输出的具有分段信息的待处理文献;将具有分段信息的待处理文献输入至抽取模型,得到抽取模型输出的文献总结,文献总结包括待处理文献的摘要数据、待处理文献所记载的方法数据以及待处理文献的结论数据。利用分段模型和抽取模型的协同训练并使用,实现对待理解文献的处理,进而生成文献总结,用户可以直接阅读文献总结来理解待处理文献,在此过程中,在降低文献理解难度的同时,提高了文献的理解效率。
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