应用于人工智能生成内容的文本处理方法、装置及介质

By identifying and replacing the information to be de-identified in the text to be processed on the user terminal, generating de-identified text and sending it to the cloud server for processing, and restoring the information after receiving it, the problem of information leakage caused by large cloud NLP models is solved, and information protection and restoration are achieved.

CN116186771BActive Publication Date: 2026-07-17TENCENT CLOUD COMPUTING (BEIJING) CO LTD

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
TENCENT CLOUD COMPUTING (BEIJING) CO LTD
Filing Date
2023-02-23
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

When users use large NLP models deployed on cloud servers to perform NLP tasks on text to be processed, it can easily lead to the leakage of important user information.

Method used

By identifying the information to be de-identified in the text to be processed, a de-identification mapping table is generated. The information to be de-identified in the text to be processed is replaced with the de-identified information to obtain the de-identified text, which is then sent to the AI-generated content server for text processing. After receiving the output text, the information to be restored is identified and replaced according to the de-identified information to obtain the target text.

Benefits of technology

It protects users' important information from being leaked and enables the restoration of information from the output text, thus improving the security of de-identified text.

✦ Generated by Eureka AI based on patent content.

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Abstract

本发明公开了一种应用于人工智能生成内容的文本处理方法、装置及介质,先根据预设的待脱敏信息类型识别待处理文本中的待脱敏信息,并根据待脱敏信息生成包括有脱敏信息的脱敏映射表,然后根据脱敏映射表将待处理文本中的待脱敏信息替换成脱敏信息得到脱敏文本,并利用脱敏文本与人工智能生成内容服务器进行交互得到输出文本,接着根据脱敏信息识别输出文本中的待还原信息,并根据脱敏映射表将输出文本中的待还原信息替换成待脱敏信息得到目标文本。本发明实施例能够在使用云端的NLP大模型对待处理文本执行NLP任务时,避免泄露用户的重要信息。本发明实施例可应用于与人工智能进行交互的各种应用场景中。
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