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MACHINE LEARNING-BASED AUTOMATIC DETECTION AND REMOVAL OF PERSONALLY IDENTIFIABLE INFORMATION

机译:基于机器学习的自动检测和删除个人身份信息

摘要

Certain aspects of the present disclosure provide techniques for detecting personally identifiable information, including: receiving a plurality of text strings, each text string of the plurality of text strings associated with a user support session; providing the plurality of text strings to one or more bidirectional long short-term memory (BiLSTM) neural network models; receiving output from the one or more BiLSTM neural network models, the output indicating one or more text data elements in the plurality of text strings comprising predicted personally identifiable information; redacting the one or more text data elements comprising the predicted personally identifiable information from the plurality of text strings to form redacted text strings; and providing, to a data repository, the redacted text strings.
机译:本公开的某些方面提供了用于检测个人识别信息的技术,包括:接收多个文本字符串,与用户支持会话相关联的多个文本字符串的每个文本串;向一个或多个双向长期短期存储器(BILSTM)神经网络模型提供多个文本字符串;从一个或多个Bilstm神经网络模型接收输出,该输出指示多个文本串中的一个或多个文本数据元素,包括预测的个人可识别信息;减少一个或多个文本数据元素,包括从多个文本字符串中预测的亲自识别信息,以形成reglyActed文本字符串;并为数据存储库提供冗余的文本字符串。

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