Invention Grant
- Patent Title: Automated detection of personal information in free text
-
Application No.: US16581799Application Date: 2019-09-25
-
Publication No.: US11429790B2Publication Date: 2022-08-30
- Inventor: Andrey Finkelshtein , Bar Haim , Eitan Menahem
- Applicant: International Business Machines Corporation
- Applicant Address: US NY Armonk
- Assignee: International Business Machines Corporation
- Current Assignee: International Business Machines Corporation
- Current Assignee Address: US NY Armonk
- Agent Dvir Gassner
- Main IPC: G06F40/295
- IPC: G06F40/295 ; G10L15/19 ; G06V30/413

Abstract:
Automated detection of personal information in free text, which includes: automatically applying a named-entity recognition (NER) algorithm to a digital text document, to detect named entities appearing in the digital text document, wherein the named entities are selected from the group consisting of: at least one person-type entity, and at least one non-person-type entity; automatically detecting at least one relation between the named entities, by applying a parts-of-speech (POS) tagging algorithm and a dependency parsing algorithm to sentences of the digital text document which contain the detected named entities; automatically estimating whether the at least one relation between the named entities is indicative of personal information; and automatically issuing a notification of a result of the estimation.
Public/Granted literature
- US20210089620A1 AUTOMATED DETECTION OF PERSONAL INFORMATION IN FREE TEXT Public/Granted day:2021-03-25
Information query