发明名称 |
Automated removal of personally identifiable information |
摘要 |
A natural language system may receive user-input. The user-input may include personal or restrictable information. The natural language system may provide a dual processing system. The natural language system may store a true copy of the user-input, which may include the personal or restrictable information. The natural language system may also generate an obfuscated copy of the user-input that does not contain personal or restricted information. The true copy of the user-input may be stored in a secure storage system and may be retrieved by authorized personnel, which may include the user who provided the user-input. The obfuscated copy of the user-input may be stored in a storage system and may be employed in ongoing training of the natural language system. |
申请公布号 |
US9058813(B1) |
申请公布日期 |
2015.06.16 |
申请号 |
US201213624755 |
申请日期 |
2012.09.21 |
申请人 |
Rawles LLC |
发明人 |
Blanksteen Scott I. |
分类号 |
G10L15/00;G10L15/18;G10L15/06;G10L15/19 |
主分类号 |
G10L15/00 |
代理机构 |
Lee & Hayes, PLLC |
代理人 |
Lee & Hayes, PLLC |
主权项 |
1. A method of processing natural language communications comprising:
receiving, via a natural language system, user-input that includes restricted information spoken by a user; identifying the restricted information in the user-input, the identifying comprising:
determining that one or more words of the user-input match one or more words of a restricted string;determining, at least partly in response to determining that the one or more words of the user-input match the one or more words of the restricted string, a context of the one or more words of the user-input; anddetermining that the one or more words of the user-input comprise the restricted information based at least in part on the context and based at least in part on the one or more words of the user-input matching the one or more words of the restricted string;generating obfuscated user-input by removing the restricted information from the user-input;storing the obfuscated user-input in a datastore; andtraining the natural language system with training data that includes the obfuscated user-input. |
地址 |
Wilmington DE US |