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US Patent 11024299 Privacy and intent-preserving redaction for text utterance data

Patent 11024299 was granted and assigned to Amazon on June, 2021 by the United States Patent and Trademark Office.

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Contents

Is a
Patent
Patent

Patent attributes

Patent Applicant
Amazon
Amazon
Current Assignee
Amazon
Amazon
Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
Patent Number
11024299
Date of Patent
June 1, 2021
Patent Application Number
16143403
Date Filed
September 26, 2018
Patent Citations
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US Patent 10108306 Systems and methods for bulk redaction of recorded data
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US Patent 10382620 Protecting confidential conversations on devices
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US Patent 10468026 Dynamic protection of personal information in audio recordings
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US Patent 10002639 Sanitization of voice records
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US Patent 10057287 Secure data redaction and masking in intercepted data interactions
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US Patent 10127401 Redacting restricted content in files
Patent Citations Received
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US Patent 12132863 Artificial intelligence assistance for customer service representatives
0
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US Patent 11580251 Query-based database redaction
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US Patent 11783078 Database redaction for semi-structured and unstructured data
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US Patent 11954224 Database redaction for semi-structured and unstructured data
0
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US Patent 11487948 Method and system for automated autonomous intent mining
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US Patent 11706337 Artificial intelligence assistant for customer service representatives
0
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US Patent 11343012 Noise generation for differential privacy
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US Patent 11340863 Systems and methods for muting audio information in multimedia files and retrieval thereof
Patent Primary Examiner
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Michael Ortiz-Sanchez
Patent abstract

Systems, methods, and computer-readable media are disclosed for providing privacy and intent preserving redactions of text derived from utterance data. Certain embodiments provide new techniques for using MadLib-style replacements to replace one or more terms or phrases in a text string. Example methods may include receiving utterance data and determining a public portion and a private portion of the utterance data. Certain methods include determining a cluster of candidates having a same semantic context as the private portion and identifying from within the cluster of candidates a first candidate. Certain methods include determining a redacted utterance comprising the public portion of the utterance and the first candidate. Certain methods include providing the redacted utterance to downstream systems and processes.

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